Historical perspective: visceral obesity and related comorbidity in Joannes Baptista Morgagni's 'De sedibus et causis morborum per anatomen indagata'.

PubMed

Enzi, G; Busetto, L; Inelmen, E M; Coin, A; Sergi, G

2003-04-01

In recent years, advances in epidemiological approaches and laboratory technology, along with the availability of sophisticated imaging methods to evaluate body fat distribution, made it possible to define the close correlation between visceral fat accumulation and the occurrence of metabolic abnormalities, cardiovascular diseases and respiratory disturbances in obese patients. Some 250 y ago, JB Morgagni with the help of only a knife for anatomical dissection, an acute mind, and an observational skillfulness was able to identify the intra-abdominal and mediastinal fat accumulation in android obesity. He clearly described the association between visceral obesity, hypertension, hyperuricemia, atherosclerosis and obstructive sleep apnea syndrome, long before the modern recognition of this syndrome.

[Metabolic changes associated with obesity in adults].

PubMed

Rincón, E; Ryder, E; Valbuena, H; García de Zambrano, N; Campos, G; Morales, L M; Semprún de Fereira, M; Wilhelm, I

1989-01-01

In order to find if the metabolic disorders more frequently found in our obese population were similar to the ones reported in the literature for other countries, a study was conducted in a group of 34 obese subjects (10 men and 24 women) whose only apparent alteration was a body mass index above 30 (mean value: 36.8 +/- 4.6) to obtain the relation between anthropometric measurements (Quetelet index, skinfold measures and waist/hip ratio) and plasma levels of nine biochemical parameters (including lipids, lipoproteins and glucose and insulin levels after an oral glucose load). The results revealed a tendency to the android distribution of fat in the female population, a significantly elevated triglyceride and total lipids levels and a decreased in HDL-cholesterol in both sexes. Hypercholesterolemia was present mainly in the male population. The most frequent dyslipidemia was Type IV (23%) followed by type IIb (15%). Practically none of the subjects had abnormal glycemic values after the glucose load, however the insulin levels were highly elevated in 80% of the patients, resulting in a great insulin/glucose ratios. Correlation analysis showed no association of the BMI with any biochemical parameter; only the insulin area was positively associated with anthropometric measures (mainly waist/hip ratio) and with the most altered biochemical parameter, the triglycerides. Variance analysis showed that only low HDL-cholesterol values were significantly different in patients presenting high blood pressure and familiar history of diabetes.

Dietary variety is inversely associated with body adiposity among US adults using a novel food diversity index.

PubMed

Vadiveloo, Maya; Dixon, L Beth; Mijanovich, Tod; Elbel, Brian; Parekh, Niyati

2015-03-01

Consuming a variety (vs. monotony) of energy-poor, nutrient-dense foods may help individuals adhere to dietary patterns favorably associated with weight control. The objective of this study was to examine whether greater healthful food variety quantified using the US Healthy Food Diversity (HFD) index favorably influenced body adiposity. Men and nonpregnant, nonlactating women aged ≥20 y with two 24-h recalls from the cross-sectional NHANES 2003-2006 (n = 7470) were included in this study. Dietary recalls were merged with the MyPyramid Equivalent database to generate the US HFD index, which ranges from 0 to ∼1, with higher scores indicative of diets with a higher number and proportion of healthful foods. Multiple indicators of adiposity including BMI, waist-to-height ratio, android-to-gynoid fat ratio, fat mass index (FMI), and percentage body fat were assessed across US HFD index quintiles. ORs and 95% CIs were computed with use of multivariable logistic regression (SAS v. 9.3). The US HFD index was inversely associated with most adiposity indicators in both sexes. After multivariable adjustment, the odds of obesity, android-to-gynoid ratio >1, and high FMI were 31-55% lower (P-trend < 0.01) among women in quintile 5 vs. quintile 1 of the US HFD index. Among men, the odds of obesity, waist-to-height ratio ≥0.5, and android-to-gynoid ratio >1 were 40-48% lower (P-trend ≤ 0.01) in quintile 5 vs. quintile 1 of the US HFD index. Higher US HFD index values were inversely associated with indicators of body adiposity in both sexes, indicating that greater healthful food variety may protect against excess adiposity. This study explicitly recognizes the potential benefits of dietary variety in obesity management and provides the foundation to support its ongoing evaluation. © 2015 American Society for Nutrition.

Abdominal obesity and circulating metabolites: A twin study approach.

PubMed

Bogl, Leonie H; Kaye, Sanna M; Rämö, Joel T; Kangas, Antti J; Soininen, Pasi; Hakkarainen, Antti; Lundbom, Jesper; Lundbom, Nina; Ortega-Alonso, Alfredo; Rissanen, Aila; Ala-Korpela, Mika; Kaprio, Jaakko; Pietiläinen, Kirsi H

2016-03-01

To investigate how obesity, insulin resistance and low-grade inflammation link to circulating metabolites, and whether the connections are due to genetic or environmental factors. Circulating serum metabolites were determined by proton NMR spectroscopy. Data from 1368 (531 monozygotic (MZ) and 837 dizygotic (DZ)) twins were used for bivariate twin modeling to derive the genetic (rg) and environmental (re) correlations between waist circumference (WC) and serum metabolites. Detailed examination of the associations between fat distribution (DEXA) and metabolic health (HOMA-IR, CRP) was performed among 286 twins including 33 BMI-discordant MZ pairs (intrapair BMI difference ≥3 kg/m(2)). Fat, especially in the abdominal area (i.e. WC, android fat % and android to gynoid fat ratio), together with HOMA-IR and CRP correlated significantly with an atherogenic lipoprotein profile, higher levels of branched-chain (BCAA) and aromatic amino acids, higher levels of glycoprotein, and a more saturated fatty acid profile. In contrast, a higher proportion of gynoid to total fat associated with a favorable metabolite profile. There was a significant genetic overlap between WC and several metabolites, most strongly with phenylalanine (rg=0.40), glycoprotein (rg=0.37), serum triglycerides (rg=0.36), BCAAs (rg=0.30-0.40), HDL particle diameter (rg=-0.33) and HDL cholesterol (rg=-0.30). The effect of acquired obesity within the discordant MZ pairs was particularly strong for atherogenic lipoproteins. A wide range of unfavorable alterations in the serum metabolome was associated with abdominal obesity, insulin resistance and low-grade inflammation. Twin modeling and obesity-discordant twin analysis suggest that these associations are partly explained by shared genes but also reflect mechanisms independent of genetic liability. Copyright © 2015 Elsevier Inc. All rights reserved.

[Evaluation and treatment of obesity in clinical practice].

PubMed

Keller, U; van der Werf, H; Stohler, R

1989-05-01

Obesity continues as before to be a widespread condition. Obesity is defined as a body weight of over 120% of the ideal weight, corresponding roughly to the 85th percentile of the weight distribution. According to the "Build Study" (1979), the ideal weight is assumed to be rather higher than formerly; in men it is 8%, in women 6% less than the so-called normal weight. The latter corresponds roughly to the average weight and is defined as: height (cm) minus 100 in kg. In obese subjects both somatic and psychological complications arise; these are related exponentially to the degree of overweight. More recent findings in the Framingham Study show that obesity leads to coronary heart disease and premature death independently of the classical risk factors. Evaluation of the patient should include a personal and familial history of the obesity, together with individual eating habits and the degree of physical activity indulged in. As assessment should be made of the body fat distribution (android or gynoid obesity); android obesity carries a relatively high risk. Complications should be looked for, together with other risk factors for arteriosclerosis. Treatment depends on the severity of the condition and on the motivation. In general, it should consist of a moderate reduction in the caloric value of the food intake together with advice on eating habits and an increase in bodily activity. Group therapy often gives good results on account of the dynamic interactions within groups. Patients with morbid obesity will profit from a very hypocaloric, "ketogenic" diet (ca. 600-700 kcal/day). One of the author's own studies showed that a very hypocaloric diet resulted in mood elevation and a reduction in the need for sleep. Conservative measures such dietary weight reduction, changes in eating habits and encouragement of bodily activity are to be preferred to surgical treatment (eg, gastric stapling). Weight reductions in hospital do not lead to a change in eating habits and are therefore of doubtful value; drug therapy as a form of long-term treatment is likewise of questionable usefulness.

Cognitive radio based optimal channel sensing and resources allocation

NASA Astrophysics Data System (ADS)

Vijayasarveswari, V.; Khatun, S.; Fakir, M. M.; Nayeem, M. N.; Kamarudin, L. M.; Jakaria, A.

2017-03-01

Cognitive radio (CR) is the latest type of wireless technoloy that is proposed to mitigate spectrum saturation problem. İn cognitve radio, secondary user will use primary user's spectrum during primary user's absence without interupting primary user's transmission. This paper focuses on practical cognitive radio network development process using Android based smart phone for the data transmission. Energy detector based sensing method was proposed and used here because it doesnot require primary user's information. Bluetooth and Wi-fi are the two available types of spectrum that was sensed for CR detection. Simulation showed cognitive radio network can be developed using Android based smart phones. So, a complete application was developed using Java based Android Eclipse program. Finally, the application was uploaded and run on Android based smart phone to form and verify CR network for channel sensing and resource allocation. The observed efficiency of the application was around 81%.

Impressions of Humanness for Android Robot may Represent an Endophenotype for Autism Spectrum Disorders.

PubMed

Kumazaki, Hirokazu; Warren, Zachary; Swanson, Amy; Yoshikawa, Yuichiro; Matsumoto, Yoshio; Ishiguro, Hiroshi; Sarkar, Nilanjan; Minabe, Yoshio; Kikuchi, Mitsuru

2018-02-01

Identification of meaningful endophenotypes may be critical to unraveling the etiology and pathophysiology of autism spectrum disorders (ASD). We investigated whether impressions of "humanness" for android robot might represent a candidate characteristic of an ASD endophenotype. We used a female type of android robot with an appearance similar to that of a real person. Significant differences in overall impressions of 'humanness' for android robot were found between adolescents with ASD and typical development (TD) controls, as well as parents of children with ASD and parents of TD controls. Our current work does suggest robotic systems could potentially play an intelligent role in dissecting ASD heterogeneity.

Processable Data Making in the Remote Server Sent by Android Phone as a GIS Data Collecting Tool

NASA Astrophysics Data System (ADS)

Karaagac, Abdullah; Bostancı, Bulent

2016-04-01

Mobile technologies are improving and getting cheaper everyday. Not only smart phones are improved much but also new types of mobile applications and sensors come with the smart phone together. Maps and navigation applications one of the most popular types of applications on these types. Most of these applications uses location services including GNSS, Wi Fi, cellular data and beacon services. Although these coordinate precision not very high, it is appropriate for many applications to utilize. Android is a mobile operating system based on Linux Kernel. It is compatible for varies mobile devices like smart phones, tablets, smart TV's, wearable technologies etc. Android has large capability for application development by using the open source libraries and device sensors like gyroscope, GNSS etc. Android Studio is the most popular integrated development environment (IDE) for Android devices, mainly developing by Google. It had been announced on May 16, 2013 at Google I/O conference. Android Studio is built upon Gradle architecture which is written in Java language. SQLite is a relational database operating system which has so common usage for mobile devices. It developed by using C programming library. It is mostly used via embedding into a software or application. It supports many operating systems including Android. Remote servers can be in several forms from high complexity to simplicity. For this project we will use a open source quad core board computer named Raspberry Pi 2. This device includes 900 MHz ARMv7 compatible quad core CPU, VideoCore IV GPU and 1 GB RAM. Although Raspberry Pi 2's main operating system is Raspbian, we use Debian which are both Linux based operating systems. Raspberry is compatible for many programming language, however some languages are optimized for this device. These are Python, Java, C, C++, Ruby, Perl and Squeak Smalltalk. In this paper, a mobile application will be developed to send coordinate and string data to a SQL database embedded to a remote server. The application will run on Android Operating System running mobile phone. The application will get the location information from the GNSS and cellular data. The user will enter the other information individually. These information will send by clicking a button to remote server which runs SQLite. All these informations will be convertible to any type of measure like type of coordinates could be converted from WGS 84 to ITRF.

The relationship between body composition and knee structure in patients with human immunodeficiency virus.

PubMed

Fillipas, S; Tanamas, S K; Davies-Tuck, M L; Wluka, A E; Wang, Y; Holland, A E; Cherry, C L; Cicuttini, F

2015-02-01

Obesity is a risk factor for osteoarthritis. Antiretroviral therapy (ART)-treated HIV-infected patients are frequently affected by overweight and obesity, and may be at increased risk of osteoarthritis. BMI however is a measure which does not discriminate adipose from non-adipose body mass, or fat distribution, which may have different effects. This study aimed to examine relationships between body composition and knee cartilage volume, as assessed by magnetic resonance imaging in HIV infection. 35 ART-treated HIV-infected men aged 51.7 years (mean) 7.9 (SD) and 18 healthy men aged 49.5 years (mean) 6.4 (SD) participated. Cartilage volume was measured on magnetic resonance imaging of the dominant knee using validated methods. Body composition was measured using dual x-ray absorptiometry. HIV-infected participants had less total body and gynoid fat (kg) (p = 0.04 and p = 0.007, respectively) and more percent android fat mass and percent trunk fat mass (p = 0.001 and p < 0.001, respectively) than controls. In HIV-infected participants there was an inverse association between total body fat mass and average tibial cartilage volume (R = -8.01, 95% CI -15.66, -0.36). Also, in HIV-infected participants there was an inverse association between android fat mass and average cartilage volume (R = -90.91, 95% CI -158.66, -23.16). This preliminary study found that both total body and android fat mass were inversely related to average knee cartilage volume in ambulant, ART-treated HIV-infected adults. These findings are features of early knee osteoarthritis and this may be of future significance in HIV. © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Comparable Effects of High-Intensity Interval Training and Prolonged Continuous Exercise Training on Abdominal Visceral Fat Reduction in Obese Young Women.

PubMed

Zhang, Haifeng; Tong, Tom K; Qiu, Weifeng; Zhang, Xu; Zhou, Shi; Liu, Yang; He, Yuxiu

2017-01-01

This study compared the effect of prolonged moderate-intensity continuous training (MICT) on reducing abdominal visceral fat in obese young women with that of work-equivalent (300 kJ/training session) high-intensity interval training (HIIT). Forty-three participants received either HIIT ( n = 15), MICT ( n = 15), or no training (CON, n = 13) for 12 weeks. The abdominal visceral fat area (AVFA) and abdominal subcutaneous fat area (ASFA) of the participants were measured through computed tomography scans preintervention and postintervention. Total fat mass and the fat mass of the android, gynoid, and trunk regions were assessed through dual-energy X-ray absorptiometry. Following HIIT and MICT, comparable reductions in AVFA (-9.1, -9.2 cm 2 ), ASFA (-35, -28.3 cm 2 ), and combined AVFA and ASFA (-44.7, -37.5 cm 2 , p > 0.05) were observed. Similarly, reductions in fat percentage (-2.5%, -2.4%), total fat mass (-2.8, -2.8 kg), and fat mass of the android (-0.3, -0.3 kg), gynoid (-0.5, -0.7 kg), and trunk (-1.6, -1.2 kg, p > 0.05) regions did not differ between HIIT and MICT. No variable changed in CON. In conclusion, MICT consisting of prolonged sessions has no quantitative advantage, compared with that resulting from HIIT, in abdominal visceral fat reduction. HIIT appears to be the predominant strategy for controlling obesity because of its time efficiency.

Face verification system for Android mobile devices using histogram based features

NASA Astrophysics Data System (ADS)

Sato, Sho; Kobayashi, Kazuhiro; Chen, Qiu

2016-07-01

This paper proposes a face verification system that runs on Android mobile devices. In this system, facial image is captured by a built-in camera on the Android device firstly, and then face detection is implemented using Haar-like features and AdaBoost learning algorithm. The proposed system verify the detected face using histogram based features, which are generated by binary Vector Quantization (VQ) histogram using DCT coefficients in low frequency domains, as well as Improved Local Binary Pattern (Improved LBP) histogram in spatial domain. Verification results with different type of histogram based features are first obtained separately and then combined by weighted averaging. We evaluate our proposed algorithm by using publicly available ORL database and facial images captured by an Android tablet.

Android obesity at diagnosis and breast carcinoma survival: Evaluation of the effects of anthropometric variables at diagnosis, including body composition and body fat distribution and weight gain during life span,and survival from breast carcinoma.

PubMed

Kumar, N B; Cantor, A; Allen, K; Cox, C E

2000-06-15

Although a large body of research exists concerning pathologic prognostic indicators of the rate of incidence and survival from breast carcinoma, to the authors' knowledge very few studies have examined the effects of anthropometric variables such as height, obesity, weight gain in adulthood, timing of weight gain, and body composition to survival, although these variables are related to the incidence rate. The survival status of 166 patients diagnosed with primary breast carcinoma and followed for at least 10 years was obtained from the Cancer Center's registry, and significant anthropometric and other known prognostic indicators regarding survival after diagnosis were determined by Cox proportional hazards analysis. Eighty-three of 166 breast carcinoma patients (50%) with up to 10 years of follow-up died of disease. Android body fat distribution, as indicated by a higher suprailiac:thigh ratio, was a statistically significant (P < 0.0001) prognostic indicator for survival after controlling for stage of disease, with a hazards ratio of 2.6 (95% confidence interval [95% CI], 1.63-4.17). Adult weight gain, as indicated specifically by weight at age 30 years, was a statistically significant (P < 0.05) prognostic indicator for survival with a hazards ratio of 1.15 (95% CI, 1.0-1.28). In addition, the authors observed the Quatelet Index, a negatively significant (P < 0.01) prognostic indicator for survival with a hazards ratio of 0.92 (95% CI, 0.87-0.98). Other markers of general obesity such as weight at diagnosis, percent body fat, and body surface area were not significant markers influencing survival. Similarly, height; triceps, biceps; subscapular, suprailiac, abdominal, and thigh skinfolds; waist and hip circumferences; family history; and reproductive and hormonal variables at the time of diagnosis showed no apparent significant relation to survival. The results of the current study provide some evidence that android body fat distribution at diagnosis and increased weight at age 30 years increases a woman's risk of dying of breast carcinoma. Copyright 2000 American Cancer Society.

Sexual dimorphisms in genetic loci linked to body fat distribution

PubMed Central

Pulit, Sara L.; Karaderi, Tugce

2017-01-01

Obesity is a chronic condition associated with increased morbidity and mortality and is a risk factor for a number of other diseases including type 2 diabetes and cardiovascular disease. Obesity confers an enormous, costly burden on both individuals and public health more broadly. Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes. Body fat distribution is distinct from overall obesity in measurement, but studies of body fat distribution can yield insights into the risk factors for and causes of overall obesity. Sexual dimorphism in body fat distribution is present throughout life. Though sexual dimorphism is subtle in early stages of life, it is attenuated in puberty and during menopause. This phenomenon could be, at least in part, due to the influence of sex hormones on the trait. Findings from recent large genome-wide association studies (GWAS) for various measures of body fat distribution (including waist-to-hip ratio, hip or waist circumference, trunk fat percentage and the ratio of android and gynoid fat percentage) emphasize the strong sexual dimorphism in the genetic regulation of fat distribution traits. Importantly, sexual dimorphism is not observed for overall obesity (as assessed by body mass index or total fat percentage). Notably, the genetic loci associated with body fat distribution, which show sexual dimorphism, are located near genes that are expressed in adipose tissues and/or adipose cells. Considering the epidemiological and genetic evidence, sexual dimorphism is a prominent feature of body fat distribution. Research that specifically focuses on sexual dimorphism in fat distribution can provide novel insights into human physiology and into the development of obesity and its comorbidities, as well as yield biological clues that will aid in the improvement of disease prevention and treatment. PMID:28073971

Sexual dimorphisms in genetic loci linked to body fat distribution.

PubMed

Pulit, Sara L; Karaderi, Tugce; Lindgren, Cecilia M

2017-02-28

Obesity is a chronic condition associated with increased morbidity and mortality and is a risk factor for a number of other diseases including type 2 diabetes and cardiovascular disease. Obesity confers an enormous, costly burden on both individuals and public health more broadly. Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes. Body fat distribution is distinct from overall obesity in measurement, but studies of body fat distribution can yield insights into the risk factors for and causes of overall obesity. Sexual dimorphism in body fat distribution is present throughout life. Though sexual dimorphism is subtle in early stages of life, it is attenuated in puberty and during menopause. This phenomenon could be, at least in part, due to the influence of sex hormones on the trait. Findings from recent large genome-wide association studies (GWAS) for various measures of body fat distribution (including waist-to-hip ratio, hip or waist circumference, trunk fat percentage and the ratio of android and gynoid fat percentage) emphasize the strong sexual dimorphism in the genetic regulation of fat distribution traits. Importantly, sexual dimorphism is not observed for overall obesity (as assessed by body mass index or total fat percentage). Notably, the genetic loci associated with body fat distribution, which show sexual dimorphism, are located near genes that are expressed in adipose tissues and/or adipose cells. Considering the epidemiological and genetic evidence, sexual dimorphism is a prominent feature of body fat distribution. Research that specifically focuses on sexual dimorphism in fat distribution can provide novel insights into human physiology and into the development of obesity and its comorbidities, as well as yield biological clues that will aid in the improvement of disease prevention and treatment. © 2017 The Author(s).

The Emerging Wireless Body Area Network on Android Smartphones: A Review

NASA Astrophysics Data System (ADS)

Puspitaningayu, P.; Widodo, A.; Yundra, E.

2018-01-01

Our society now has driven us into an era where almost everything can be digitally monitored and controlled including the human body. The growth of wireless body area network (WBAN), as a specific scope of sensor networks which mounted or attached to human body also developing rapidly. It allows people to monitor their health and several daily activities. This study is intended to review the trend of WBAN especially on Android, one of the most popular smartphone platforms. A systematic literature review is concerned to the following parameters: the purpose of the device and/or application, the type of sensors, the type of Android device, and its connectivity. Most of the studies were more concern to healthcare or medical monitoring systems: blood pressure, electro cardiograph, tremor detection, etc. On the other hand, the rest of them aimed for activity tracker, environment sensing, and epidemic control. After all, those studies shown that not only Android can be a powerful platform to process data from various sensors but also smartphones can be a good alternative to develop WBANs for medical and other daily applications.

[Relation between leptin serun with weight and body fat distribution in postmenopausal women].

PubMed

Barrios Ospino, Yubire; Díaz, N; Meertens, L; Naddaf, G; Solano, L; Fernández, M; Flores, A; González, M

2010-01-01

Leptin is a peptidic hormone secreted by the fat tissue and plays an important role in body weight regulation. After menopause, weight gain increases as well as android-like obesity. Previous studies suggest a relationship between leptin level, body mass index (BMI) and fat distribution. To establish the relationships between serum leptin, BMI, waist circumference (WC), and waist/hip ratio (WHR). 48 women under the age of 60 years and with amenorrhea for longer than one year were assessed. Leptin and estradiol (ELISA) levels were determined; normal values: 3.63-11.09 ng/mL and 0-65 pg/Ml. BMI (WHO), WC > 88 cm, and WHR > 0.80 were considered as indicators of cardiometabolic risk. Mean age for the group was 54 +/- 3.9 years; leptin: 8.4 +/- 3.7 ng/mL, and estradiol: 17.6 +/- 10.0 pg/mL; BMI: 27.0 +/- 4.9 kg/m(2); WC: 86.2 +/- 8.6 cm; and WHR: 0.84 +/- 0.06. Twenty percent of the women had hyperleptinemia, 58.4% malnourishment due to excessive intake, 35% presented WC cardiovascular risk. The highest leptin value was found in obese women. There was no association between serum leptin levels and anthropometrical variables. There was a significantly positive correlation between weight, height, BMI, WC, hip circumference, and estradiol. Postmenopausal women presented a high prevalence of overweight/obesity, android-like body fat distribution and normal serum leptin levels. The group assessed is considered to be at risk for cardiometabolic diseases according to anthropometrical indicators.

Comparable Effects of High-Intensity Interval Training and Prolonged Continuous Exercise Training on Abdominal Visceral Fat Reduction in Obese Young Women

PubMed Central

Zhang, Haifeng; Tong, Tom K.; Qiu, Weifeng; Zhang, Xu; Zhou, Shi

2017-01-01

This study compared the effect of prolonged moderate-intensity continuous training (MICT) on reducing abdominal visceral fat in obese young women with that of work-equivalent (300 kJ/training session) high-intensity interval training (HIIT). Forty-three participants received either HIIT (n = 15), MICT (n = 15), or no training (CON, n = 13) for 12 weeks. The abdominal visceral fat area (AVFA) and abdominal subcutaneous fat area (ASFA) of the participants were measured through computed tomography scans preintervention and postintervention. Total fat mass and the fat mass of the android, gynoid, and trunk regions were assessed through dual-energy X-ray absorptiometry. Following HIIT and MICT, comparable reductions in AVFA (−9.1, −9.2 cm2), ASFA (−35, −28.3 cm2), and combined AVFA and ASFA (−44.7, −37.5 cm2, p > 0.05) were observed. Similarly, reductions in fat percentage (−2.5%, −2.4%), total fat mass (−2.8, −2.8 kg), and fat mass of the android (−0.3, −0.3 kg), gynoid (−0.5, −0.7 kg), and trunk (−1.6, −1.2 kg, p > 0.05) regions did not differ between HIIT and MICT. No variable changed in CON. In conclusion, MICT consisting of prolonged sessions has no quantitative advantage, compared with that resulting from HIIT, in abdominal visceral fat reduction. HIIT appears to be the predominant strategy for controlling obesity because of its time efficiency. PMID:28116314

DroidSafe

DTIC Science & Technology

2016-12-01

branches of our work . 3.1 Understanding Sensitive API Call and API Information Usage Android applications are written in a type- safe language (Java...directly invoke resolved targets. Because DroidSafe works with a comprehensive model of the Android environment , it supports precise resolution of...STATEMENT. FOR THE CHIEF ENGINEER: / S / / S / MARK K. WILLIAMS WARREN H. DEBANY, JR. Work Unit Manager

Attenuated Low-Grade Inflammation Following Long-Term Dietary Intervention in Postmenopausal Women with Obesity.

PubMed

Blomquist, Caroline; Alvehus, Malin; Burén, Jonas; Ryberg, Mats; Larsson, Christel; Lindahl, Bernt; Mellberg, Caroline; Söderström, Ingegerd; Chorell, Elin; Olsson, Tommy

2017-05-01

Abdominal fat accumulation after menopause is associated with low-grade inflammation and increased risk of metabolic disorders. Effective long-term lifestyle treatment is therefore needed. Seventy healthy postmenopausal women (age 60 ± 5.6 years) with BMI 32.5 ± 5.5 were randomized to a Paleolithic-type diet (PD) or a prudent control diet (CD) for 24 months. Blood samples and fat biopsies were collected at baseline, 6 months, and 24 months to analyze inflammation-related parameters. Android fat decreased significantly more in the PD group (P = 0.009) during the first 6 months with weight maintenance at 24 months in both groups. Long-term significant effects (P < 0.001) on adipose gene expression were found for toll-like receptor 4 (decreased at 24 months) and macrophage migration inhibitory factor (increased at 24 months) in both groups. Serum interleukin 6 (IL-6) and tumor necrosis factor α levels were decreased at 24 months in both groups (P < 0.001) with a significant diet-by-time interaction for serum IL-6 (P = 0.022). High-sensitivity C-reactive protein was decreased in the PD group at 24 months (P = 0.001). A reduction of abdominal obesity in postmenopausal women is linked to specific changes in inflammation-related adipose gene expression. © 2017 The Obesity Society.

Android-assisted physics mobile learning to improve senior high school students' divergent thinking skills and physics HOTS

NASA Astrophysics Data System (ADS)

Mardiana, Nana; Kuswanto, Heru

2017-08-01

The aims of the research concerned here were to reveal (1) the characteristics of Android-assisted PML (physics mobile learning) to improve SMA (sekolah menengah atas, Indonesian senior high school) students' divergent thinking skills and physics HOTS (higher order thinking skills); (2) the feasibility of the Android-assisted PML; and (3) the influence of using the Android-assisted PML on improvement in SMA students' divergent thinking skills and physics HOTS. The7 research was of the R&D (research and development) type, adapted from theBorg-&-Gall development model. The research data were analyzed by means of MANOVA with the significance level of 5%. The results are as follows. (1) The product of the development, a learning media in software form with the android package(apk) format, is named PML (to refer to Physics Mobile Learning), which has such characterictics as being operable with use of Android devicesand being very good in quality in the aspect oflearning, material, software technology, and audiovisual appearance. 2) The developed learning media referred to as PML is appropriate for learning activity according to evaluation by a material expert, a media expert, peer reviewers, and physics teachers as well as according to results of students' tryouts. (3) The use of the Android-assisted PML media product could improve SMA students' divergent thinking skillsand physics HOTS with the respective high-category gain scores of 0.701 and 0.759.

A Maze Game on Android Using Growing Tree Method

NASA Astrophysics Data System (ADS)

Hendrawan, Y. F.

2018-01-01

A maze is a type of puzzle games where a player moves in complex and branched passages to find a particular target or location. One method to create a maze is the Growing Tree method. The method creates a tree that has branches which are the paths of a maze. This research explored three types of Growing Tree method implementations for maze generation on Android mobile devices. The layouts produced could be played in first and third-person perspectives. The experiment results showed that it took 17.3 seconds on average to generate 20 cells x 20 cells dynamic maze layouts.

Effect of android fat distribution on thrombin-activatable fibrinolysis inhibitor levels in women with polycystic ovary syndrome.

PubMed

Mendonça-Louzeiro, Maria R M F; Andrade, Kleber C; Yela, Daniela A; Benetti-Pinto, Cristina L

2018-06-21

Women with polycystic ovary syndrome (PCOS) often present with thromboembolic risk factors, such as obesity, hyperandrogenism, and insulin resistance [1]. Furthermore, some PCOS-related metabolic abnormalities represent cardiovascular risk factors. We aimed to assess the association between hemostatic parameters and clinical and dual-energy X-ray absorptiometry (DXA) measurements of fat distribution in these women. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Gender difference in the impact of gynoid and android fat masses on the progression of hepatic steatosis in Japanese patients with type 2 diabetes.

PubMed

Bouchi, Ryotaro; Fukuda, Tatsuya; Takeuchi, Takato; Nakano, Yujiro; Murakami, Masanori; Minami, Isao; Izumiyama, Hajime; Hashimoto, Koshi; Yoshimoto, Takanobu; Ogawa, Yoshihiro

2017-01-01

Increased visceral adiposity is strongly associated with non-alcoholic fatty liver disease (NAFLD). However, little attention has been paid to the association between the change in subcutaneous adipose mass and the progression of non-alcoholic fatty liver disease (NAFLD). We aimed to investigate whether increased subcutaneous adipose tissue (gynoid fat mass) could be protective against the progression of NAFLD in Japanese patients with type 2 diabetes. This is a retrospective observational study of 294 Japanese patients with type 2 diabetes (65 ± 10 years old, 40% female). Liver attenuation index (LAI) measured by abdominal computed tomography was used for the assessment of hepatic steatosis. Both gynoid (kg) and android (kg) fat masses were measured by the whole body dual-energy X-ray absorptiometry. One-year changes in LAI, gynoid, and android fat masses were evaluated in both male and female patients. Linear regression analysis with a stepwise procedure was used for the statistical analyses to investigate the association of the changes in gynoid and android fat masses with the change in LAI. LAI levels at baseline were 1.15 ± 0.31 and 1.10 ± 0.34 in female and male patients ( p  = 0.455). The change in gynoid fat mass was significantly and positively associated with the change in LAI in both univariate (standardized β 0.331, p  = 0.049) and multivariate (standardized β 0.360, p  = 0.016) models in the female patients. However, no significant association was observed in males. In contrast, the increase in android fat mass was significantly associated with the reduced LAI in both genders in the multivariate models (standardized β -0.651, p  < 0.001 in females and standardized β -0.519, p  = 0.042 in males). This study provides evidence that increased gynoid fat mass may be protective against the progression of NAFLD in female Japanese patients with type 2 diabetes.

Metabolic Vascular Syndrome: New Insights into a Multidimensional Network of Risk Factors and Diseases.

PubMed

Scholz, Gerhard H; Hanefeld, Markolf

2016-10-01

Since 1981, we have used the term metabolic syndrome to describe an association of a dysregulation in lipid metabolism (high triglycerides, low high-density lipoprotein cholesterol, disturbed glucose homeostasis (enhanced fasting and/or prandial glucose), gout, and hypertension), with android obesity being based on a common soil (overnutrition, reduced physical activity, sociocultural factors, and genetic predisposition). We hypothesized that main traits of the syndrome occur early and are tightly connected with hyperinsulinemia/insulin resistance, procoagulation, and cardiovascular diseases. To establish a close link between the traits of the metabolic vascular syndrome, we focused our literature search on recent original work and comprehensive reviews dealing with the topics metabolic syndrome, visceral obesity, fatty liver, fat tissue inflammation, insulin resistance, atherogenic dyslipidemia, arterial hypertension, and type 2 diabetes mellitus. Recent research supports the concept that the metabolic vascular syndrome is a multidimensional and interactive network of risk factors and diseases based on individual genetic susceptibility and epigenetic changes where metabolic dysregulation/metabolic inflexibility in different organs and vascular dysfunction are early interconnected. The metabolic vascular syndrome is not only a risk factor constellation but rather a life-long abnormality of a closely connected interactive cluster of developing diseases which escalate each other and should continuously attract the attention of every clinician.

A comparison of the characteristics of iOS and Android users of a smoking cessation app.

PubMed

Ubhi, Harveen Kaur; Kotz, Daniel; Michie, Susan; van Schayck, Onno C P; West, Robert

2017-06-01

iOS and Android smartphone users may differ in ways that affect their use and likelihood of success when using a smoking cessation application (app). If so, it may be necessary to take the device type (iOS and Android) into account when designing smoking cessation apps and in studies evaluating app effectiveness. How do socio-demographic and smoking characteristics, potentially relevant to engagement and cessation outcomes, of the SF28 app users differ between those using the iOS version and those using the Android version? Data were collected between October 2013 and April 2015. The variables measured were age, gender, social grade, time since the most recent quit attempt, choice of medication use (nicotine replacement therapy or varenicline), weekly expenditure on cigarettes, cigarettes smoked per day, reason for using the app and quit date set. The alpha was set to p < 0.006 to adjust for multiple comparisons. A total of 1368 users were included in the analysis. iOS and Android device users were similar in terms of age, social grade, weekly expenditure on cigarettes and cigarettes smoked per day. Compared with Android users, iOS users were more likely to have downloaded the app for a serious quit attempt (74.3 versus 69.6%, p = 0.001), made a quit attempt within the last 12 months (59.6 versus 45.9%, p < 0.001) and set their quit date on the day of registration (61 versus 46.2%, p < 0.001). They were less likely to have used stop-smoking medication to support their quit attempt (31.5 versus 48.6%, p < 0.001). Differences between smokers using the iOS version of smoking cessation apps and those using the Android version may influence quit success.

Android Malware Classification Using K-Means Clustering Algorithm

NASA Astrophysics Data System (ADS)

Hamid, Isredza Rahmi A.; Syafiqah Khalid, Nur; Azma Abdullah, Nurul; Rahman, Nurul Hidayah Ab; Chai Wen, Chuah

2017-08-01

Malware was designed to gain access or damage a computer system without user notice. Besides, attacker exploits malware to commit crime or fraud. This paper proposed Android malware classification approach based on K-Means clustering algorithm. We evaluate the proposed model in terms of accuracy using machine learning algorithms. Two datasets were selected to demonstrate the practicing of K-Means clustering algorithms that are Virus Total and Malgenome dataset. We classify the Android malware into three clusters which are ransomware, scareware and goodware. Nine features were considered for each types of dataset such as Lock Detected, Text Detected, Text Score, Encryption Detected, Threat, Porn, Law, Copyright and Moneypak. We used IBM SPSS Statistic software for data classification and WEKA tools to evaluate the built cluster. The proposed K-Means clustering algorithm shows promising result with high accuracy when tested using Random Forest algorithm.

Abdominal obesity and mortality risk among men in nineteenth-century North America.

PubMed

Kahn, H S; Williamson, D F

1994-10-01

The health consequences of an adverse body-fat distribution (e.g., android, upper-body, visceral) have only recently concerned the medical community. Ninety years ago, however, actuarial study demonstrated the relationship of body-fat distribution to the mortality experience of insured, North American men. Thirty-four insurance companies pooled their data on males issued life policies between 1870 and 1899. Special classes of risk were defined by weight for height at baseline or by the observation that abdominal girth exceeded the girth of the expanded chest (abdominal obesity). The mortality experience of each risk class was compared to an age-stratified, actuarial table of the period. We present new analyses of these historical data relating specifically to the mortality impact of abdominal obesity. Among 163,567 overweight men, the prevalence of abdominal obesity increased with age and with degree of overweight. Among moderately overweight men, those with abdominal obesity experienced 133% of the expected mortality rate compared to 112% of the expected mortality for those who were not abdominally obese. Severely overweight men with abdominal obesity experienced 152% of the expected mortality compared to 135% of the expected mortality for severely overweight men who were not abdominally obese. We believe this nineteenth-century, acturial study of waist and chest girths was the first demonstration that body-fat distribution can influence longevity. These early actuarial findings, taken with more recent reports, establish that abdominal enlargement, but not necessarily an 'upper-body' fat distribution, constitutes a major health hazard. Future research must establish which abdominal-obesity index best predicts disease outcomes.

[Insulin resistance--a physiopathological condition with numerous sequelae: non-insulin-dependent diabetes mellitus (NIDDM), android obesity, essential hypertension, dyslipidemia and atherosclerosis].

PubMed

Pedersen, O

1992-05-11

Recent research has demonstrated that reduced insulin-stimulated glucose metabolism in skeletal muscle (insulin resistance) and hyperinsulinism are common features in widespread diseases such as essential hypertension, android obesity, non-insulin dependent diabetes mellitus, dyslipidemia (in the form of raised serum triglyceride and reduced serum high-density lipoprotein (HDL) cholesterol) and arteriosclerosis. Simultaneously, investigations in a comprehensive group of healthy middle-aged men have revealed insulin resistance in one fourth. On the basis of these observations, a working hypothesis is suggested which postulates that genetic abnormalities in one or more of the candidate genes in the modes of action of insulin occur in a great proportion of the population. These may result in insulin resistance (primary genetic insulin resistance). Primary insulin resistance may be potentiated by a series of circumstances such as ageing, high-fat diet, lack of physical activity, hormonal and metabolic abnormalities or drugs (secondary insulin resistance). As a consequence of the reduced effect of insulin on muscle tissue, compensatory hyperinsulinism develops. Depending on the remaining vulnerability of the individual the hyperinsulinism is presumed to result in development of one or more phenotypes. For example if the beta-cells of the pancreas are unable to secrete sufficient insulin to compensate the insulin resistance on account of genetic defects, glucose intolerance will develop. In a similar manner, hyperinsulinism in insulin-resistant individuals who are predisposed to essential hypertension is presumed to reveal genetic defects in the blood pressure regulating mechanisms and thus contribute to development of the disease.(ABSTRACT TRUNCATED AT 250 WORDS)

Monitor Network Traffic with Packet Capture (pcap) on an Android Device

DTIC Science & Technology

2015-09-01

administrative privileges . Under the current design Android development requirement, an Android Graphical User Interface (GUI) application cannot directly...build an Android application to monitor network traffic using open source packet capture (pcap) libraries. 15. SUBJECT TERMS ELIDe, Android , pcap 16...Building Application with Native Codes 5 8.1 Calling Native Codes Using JNI 5 8.2 Calling Native Codes from an Android Application 8 9. Retrieve Live

Implementation of Nearest Neighbor using HSV to Identify Skin Disease

NASA Astrophysics Data System (ADS)

Gerhana, Y. A.; Zulfikar, W. B.; Ramdani, A. H.; Ramdhani, M. A.

2018-01-01

Today, Android is one of the most widely used operating system in the world. Most of android device has a camera that could capture an image, this feature could be optimized to identify skin disease. The disease is one of health problem caused by bacterium, fungi, and virus. The symptoms of skin disease usually visible. In this work, the symptoms that captured as image contains HSV in every pixel of the image. HSV can extracted and then calculate to earn euclidean value. The value compared using nearest neighbor algorithm to discover closer value between image testing and image training to get highest value that decide class label or type of skin disease. The testing result show that 166 of 200 or about 80% is accurate. There are some reasons that influence the result of classification model like number of image training and quality of android device’s camera.

Childhood maltreatment increases the risk for visceral obesity.

PubMed

Li, Li; Chassan, Rachel A; Bruer, Emily H; Gower, Barbara A; Shelton, Richard C

2015-08-01

The reports regarding the associations between childhood maltreatment (CM) and body fat composition remain heterogeneous in humans although they are indicated in preclinical studies. In addition, the effects of CM subtypes on different types of body fat are unclear. Thus, in this study, the associations between CM and its subtypes with body fat were determined and the potential pathways were explored. The participants were assessed for a history of CM by the Childhood Trauma Questionnaire and were divided into the CM group (with CM exposures) and non-CM group (without CM exposures). Body composition was measured by dual-energy X-ray absorptiometry. Salivary and blood samples were provided by the subjects. Compared with the non-CM group, subjects with a history of CM had greater visceral fat mass (1,136 ± 160 vs. 836 ± 116 g, P < 0.05) but not total body fat, android fat, body mass index, or waist-to-hip ratio. In addition, subjects with CM had a blunted cortisol awakening response and elevated inflammatory factors. Correlation analysis indicated that CM subtypes had differential effects on visceral adiposity and cortisol awakening response. It is suggested by our results that CM exposure is linked with increased visceral fat deposition, and the perturbation of the hypothalamic-pituitary-adrenal axis activity and activation of the immune system may be two potential pathways through which this relationship is explained. © 2015 The Obesity Society.

Association of serum glypican-4 levels with cardiovascular risk predictors in women with polycystic ovary syndrome - a pilot study.

PubMed

Jędrzejuk, Diana; Lwow, Felicja; Kuliczkowska-Płaksej, Justyna; Hirnle, Lidia; Trzmiel-Bira, Anna; Lenarcik-Kabza, Agnieszka; Kolackov, Katarzyna; Łaczmański, Łukasz; Milewicz, Andrzej

2016-01-01

Glypican-4 (Gpc4) is an adipokine which interacts with the insulin receptor and affects insulin sensitivity in proteoglycans. Insulin resistance plays a crucial role in the etiology of polycystic ovary syndrome (PCOS). PCOS is associated with metabolic disturbances such as abdominal obesity, dyslipidemia and type 2 diabetes. Thus, higher levels of Gpc4 released from visceral adipose tissue in women with PCOS may suggest an increased risk of cardiovascular disease (CVD). The aim of this pilot study was to determine whether the serum Gpc4 level is associated with cardiovascular risk predictors in women with PCOS. Sixty-two women with PCOS according to the Rotterdam criteria (20-35 years old) and 43 healthy controls were studied. Cardiovascular risk predictors such as obesity indices, fat deposits according to dual-energy X-ray absorptiometry, biochemical lipid profile parameters and Homeostasis Model Assessment were estimated. The serum Gpc4 level in PCOS women was significantly higher (2.61 ± 1.17 ng/ml) than in the control group (1.55 ± 0.47 ng/ml) and correlated with waist circumference, waist-to-hip ratio, total fat and android fat deposit to gynoid fat deposit ratio only in the PCOS group. The Gpc4 level was higher in the PCOS group and correlated with CVD risk predictors, especially fat distribution.

Origins of Balance Disorders during a Daily Living Movement in Obese: Can Biomechanical Factors Explain Everything?

PubMed Central

Mignardot, Jean-Baptiste; Olivier, Isabelle; Promayon, Emmanuel; Nougier, Vincent

2013-01-01

Obese people suffer from postural deficits and are more subject to falls than their lean counterpart. To improve prevention and post-fall rehabilitation programs, it seems important to better understand the posturo-kinetic disorders in daily life situations by determining the contribution of some key factors, mainly morphological characteristics and physical activity level, in the apparition of these disorders. Twelve severe android obese and eight healthy non obese adults performed a reaching task mobilizing the whole body. To further determine the origin of the postural and motor behavior differences, non obese individuals also performed an experimental session with additional constraints which simulated some of the obese morphological characteristics. Impact of the sedentary lifestyle was also studied by dissociation of the obese in two subgroups: physically « active » and physically « inactive ». Movement kinetics and kinematics were characterized with an optoelectronic system synchronized to a force platform. The mechanical equilibrium pattern was evaluated through the displacements of the Centre of Mass (CoM) and the centre of foot pressure within the Base of Support (BoS). Results showed that obesity decreased movement speed (≈−23%, p<0.01), strongly increased CoM displacement (≈+30%, p<0.05) and induced an important spatio-temporal desynchronization (≈+40%, p<0.05) of the focal and postural components of the movement during the transition between the descending and ascending movements. The role of some morphological characteristics and of physical activity on obese patients' postural control disorder is discussed and set back in the more general context of overall factors contributing to postural deficits with obesity. PMID:23560097

Origins of balance disorders during a daily living movement in obese: can biomechanical factors explain everything?

PubMed

Mignardot, Jean-Baptiste; Olivier, Isabelle; Promayon, Emmanuel; Nougier, Vincent

2013-01-01

Obese people suffer from postural deficits and are more subject to falls than their lean counterpart. To improve prevention and post-fall rehabilitation programs, it seems important to better understand the posturo-kinetic disorders in daily life situations by determining the contribution of some key factors, mainly morphological characteristics and physical activity level, in the apparition of these disorders. Twelve severe android obese and eight healthy non obese adults performed a reaching task mobilizing the whole body. To further determine the origin of the postural and motor behavior differences, non obese individuals also performed an experimental session with additional constraints which simulated some of the obese morphological characteristics. Impact of the sedentary lifestyle was also studied by dissociation of the obese in two subgroups: physically « active » and physically « inactive ». Movement kinetics and kinematics were characterized with an optoelectronic system synchronized to a force platform. The mechanical equilibrium pattern was evaluated through the displacements of the Centre of Mass (CoM) and the centre of foot pressure within the Base of Support (BoS). Results showed that obesity decreased movement speed (≈-23%, p<0.01), strongly increased CoM displacement (≈+30%, p<0.05) and induced an important spatio-temporal desynchronization (≈+40%, p<0.05) of the focal and postural components of the movement during the transition between the descending and ascending movements. The role of some morphological characteristics and of physical activity on obese patients' postural control disorder is discussed and set back in the more general context of overall factors contributing to postural deficits with obesity.

Infant discrimination of humanoid robots

PubMed Central

Matsuda, Goh; Ishiguro, Hiroshi; Hiraki, Kazuo

2015-01-01

Recently, extremely humanlike robots called “androids” have been developed, some of which are already being used in the field of entertainment. In the context of psychological studies, androids are expected to be used in the future as fully controllable human stimuli to investigate human nature. In this study, we used an android to examine infant discrimination ability between human beings and non-human agents. Participants (N = 42 infants) were assigned to three groups based on their age, i.e., 6- to 8-month-olds, 9- to 11-month-olds, and 12- to 14-month-olds, and took part in a preferential looking paradigm. Of three types of agents involved in the paradigm—a human, an android modeled on the human, and a mechanical-looking robot made from the android—two at a time were presented side-by-side as they performed a grasping action. Infants’ looking behavior was measured using an eye tracking system, and the amount of time spent focusing on each of three areas of interest (face, goal, and body) was analyzed. Results showed that all age groups predominantly looked at the robot and at the face area, and that infants aged over 9 months watched the goal area for longer than the body area. There was no difference in looking times and areas focused on between the human and the android. These findings suggest that 6- to 14-month-olds are unable to discriminate between the human and the android, although they can distinguish the mechanical robot from the human. PMID:26441772

Development of Whole Slide Imaging on Smartphones and Evaluation With ThinPrep Cytology Test Samples: Follow-Up Study

PubMed Central

Ma, Shuoxin; Yu, Hong; Jin, Yu-Biao; Zheng, Jun

2018-01-01

Background The smartphone-based whole slide imaging (WSI) system represents a low-cost and effective alternative to automatic scanners for telepathology. In a previous study, the development of one such solution, named scalable whole slide imaging (sWSI), was presented and analyzed. A clinical evaluation of its iOS version with 100 frozen section samples verified the diagnosis-readiness of the produced virtual slides. Objective The first aim of this study was to delve into the quantifying issues encountered in the development of an Android version. It should also provide insights into future high-resolution real-time feedback medical imaging apps on Android and invoke the awareness of smartphone manufacturers for collaboration. The second aim of this study was to further verify the clinical value of sWSI with cytology samples. This type is different from the frozen section samples in that they require finer detail on the cellular level. Methods During sWSI development on Android, it was discovered that many models do not support uncompressed camera pixel data with sufficient resolution and full field of view. The proportion of models supporting the optimal format was estimated in a test on 200 mainstream Android models. Other factors, including slower processing speed and camera preview freezing, also led to inferior performance of sWSI on Android compared with the iOS version. The processing speed was mostly determined by the central processing unit frequency in theory, and the relationship was investigated in the 200-model simulation experiment with physical devices. The camera preview freezing was caused by the lag between triggering photo capture and resuming preview. In the clinical evaluation, 100 ThinPrep cytology test samples covering 6 diseases were scanned with sWSI and compared against the ground truth of optical microscopy. Results Among the tested Android models, only 3.0% (6/200) provided an optimal data format, meeting all criteria of quality and efficiency. The image-processing speed demonstrated a positive relationship with the central processing unit frequency but to a smaller degree than expected and was highly model-dependent. The virtual slides produced by sWSI on Android and iOS of ThinPrep cytology test samples achieved similar high quality. Using optical microscopy as the ground truth, pathologists made a correct diagnosis on 87.5% (175/200) of the cases with sWSI virtual slides. Depending on the sWSI version and the pathologist in charge, the kappa value varied between .70 and .82. All participating pathologists considered the quality of the sWSI virtual slides in the experiment to be adequate for routine usage. Conclusions Limited by hardware and operating system support, the performance of sWSI on mainstream Android smartphones did not fully match the iOS version. However, in practice, this difference was not significant, and both were adequate for digitizing most of the sample types for telepathology consultation. PMID:29618454

[Epidemiological transition and cardiovascular risk factors in Tunisia].

PubMed

Ghannem, H; Fredj, A H

1997-09-01

In Tunisia a growing extension of chronic diseases has resulted from the environmental and behavioral changes such as the adoption of new dietary habits, sedentarity habitat, stress of urbanization and work conditions. To illustrate this trend, we undertook a household epidemiologic survey of a representative sample of the adult urban population of Soussa (n = 957) to assess the main cardiovascular risk factors except the lipid profile distribution. This study showed a high prevalence of hypertension (> 160/95 mm Hg): 18.8% with an adjusted rate of 15.6%. History of diabetes 10.2%, obesity (BMI > 30) 27.7% significantly higher in women (34.4%), android obesity 36%, smoking habits 21.5% significantly higher in men (61.4%). With this risk factor profile, Tunisia has to implement a national strategy of primary prevention and heart health promotion in addition to the efforts recently made in secondary prevention of some chronic diseases such as hypertension and diabetes.

Management of obesity in NIDDM (non-insulin-dependent diabetes mellitus).

PubMed

Cheah, J S

1998-08-01

Obesity is common in NIDDM; in a cohort of 314 diabetics in Singapore, 44.3% are overweight. Management of obesity in diabetics differs from that in non-diabetics in that it is more urgent; weight maintenance is more difficult and hypoglycaemic medication may cause weight changes. Like in the non-diabetic, management of obesity in diabetic requires a pragmatic and realistic approach. A team approach is required: the help of the nurse educator, the dietitian, behaviour modification therapist, exercise therapist etc are required. A detailed history, careful physical examination and relevant investigations are required to assess the severity of the diabetic state and to exclude an occasional underlying cause of the obesity in the obese NIDDM. Weight loss is urgent in the obese NIDDM, especially those with android obesity. There must be a reduction in caloric intake. Weight loss leads to improvement in the glucose tolerance, insulin sensitivity, reduction in lipid levels and fall in blood pressure in the hypertensive. Exercise is of limited value except in the younger obese NIDDM. Metformin is the hypoglycaemic drug of choice as it leads to consistent weight reduction. The sulphonylureas may cause weight gain. Insulin should be avoided where possible as it causes further weight gain. Other hypoglycaemic agents include Glucobay (alpha-glucosidase inhibitor) and Troglitazone (insulin sensitizer) which do not alter the weight. Orlistat (lipase inhibitor) is promising as it causes reduction of weight, blood-glucose and lipid levels. Anti-obesity drugs (noradrenergic and serotonergic agents) have modest effects on weight reduction in the obese NIDDM; a widely use preparation, Dexfenfluramine (Adifax) has been withdrawn because of side effects. Surgery such as gastric plication is the last resort in treating the morbidly obese NIDDM. The discovery of leptin in 1994 has led to intense research into energy homeostasis in obesity; hopefully this will lead to better treatment of obesity in diabetics and non-diabetics.

Contribution of the lean body mass to insulin resistance in postmenopausal women with visceral obesity: a Monet study.

PubMed

Brochu, Martin; Mathieu, Marie-Eve; Karelis, Antony D; Doucet, Eric; Lavoie, Marie-Eve; Garrel, Dominique; Rabasa-Lhoret, Rémi

2008-05-01

Some insulin-resistant obese postmenopausal (PM) women are characterized by an android body fat distribution type and higher levels of lean body mass (LBM) compared to insulin-sensitive obese PM women. This study investigates the independent contribution of LBM to the detrimental effect of visceral fat (VF) levels on the metabolic profile. One hundred and three PM women (age: 58.0+/-4.9 years) were studied and categorized in four groups on the basis of their VF (higher vs. lower) and lean BMI (LBMI=LBM (kg)/height (m2); higher vs. lower). Measures included: fasting lipids, glucose homeostasis (by euglycemic/hyperinsulinemic clamp technique and 2-h oral glucose tolerance test (OGTT)), C-reactive protein (CRP) levels, fat distribution (by computed tomography (CT) scan), and body composition (by dual-energy X-ray absorptiometry). Women in the higher VF/higher LBMI group had lower glucose disposal and higher plasma insulin levels compared to the other groups. They also had higher plasma CRP levels than the women in the lower VF/lower LBMI group. VF was independently associated with insulin levels, measures of glucose disposal, and CRP levels (P<0.05). LBMI was also independently associated with insulin levels, glucose disposal, and CRP levels (P<0.05). Finally, significant interactions were observed between LBMI and VF levels for insulin levels during the OGTT and measures of glucose disposal (P<0.05). In conclusion, VF and LBMI are both independently associated with alterations in glucose homeostasis and CRP levels. The contribution of VF to insulin resistance seems to be exacerbated by increased LBM in PM women.

Determination of reference values for elevated fasting and random insulin levels and their associations with metabolic risk factors among rural Pakistanis from Sindh Province.

PubMed

Ahmadani, Muhammad Yakoob; Hakeem, Rubina; Fawwad, Asher; Basit, Abdul; Shera, A Samad

2008-06-01

To assess insulin levels and their association with metabolic risk factors (family history of diabetes, abnormal glucose tolerance, hypertension, overweight and android obesity) among a representative group of Pakistan. The study data was taken from the database of a population-based survey conducted in Sindh Province, Pakistan, in 1994 to assess the prevalence of diabetes mellitus and impaired glucose tolerance (IGT). Through stratified random sampling; oral glucose tolerance tests were performed in 967 adults; every fifth sample was estimated for fasting and random (2-hour post-75 gm glucose load) insulin levels. The total number of metabolic risk factors was counted for each subject, and their association with insulin levels studied. Of the 130 subjects, 56.1% were females and 95.4% were Sindhi. The mean age of males and females was 43.84 and 40.61 years, respectively. Family history for diabetes and frequency of overweight had significant positive associations with both fasting and random insulin levels (P < 0.05). Association between hypertension and insulin levels was significant only for random insulin levels, and between android obesity, abnormal glucose tolerance, or male gender and insulin levels only for fasting insulin levels (P < 0.05). Metabolic risk factors had significant positive associations with both fasting (r = 0.351 P = 0.000) as well as random insulin levels (r = 0.364 P = 0.000). This paper provides baseline pioneering information applicable to the Pakistani population. Furthermore, the observations made in this study about differences in association of fasting or random insulin levels with various metabolic risk factors highlight the possibility of using either of them for risk assessment. This finding needs to be assessed in a larger and nationally representative sample.

The Body Fat-Cognition Relationship in Healthy Older Individuals: Does Gynoid vs Android Distribution Matter?

PubMed

Forte, R; Pesce, C; De Vito, G; Boreham, C A G

2017-01-01

To examine the relationship between regional and whole body fat accumulation and core cognitive executive functions. Cross-sectional study. 78 healthy men and women aged between 65 and 75 years recruited through consumer's database. DXA measured percentage total body fat, android, gynoid distribution and android/gynoid ratio; inhibition and working memory updating through Random Number Generation test and cognitive flexibility by Trail Making test. First-order partial correlations between regional body fat and cognitive executive function were computed partialling out the effects of whole body fat. Moderation analysis was performed to verify the effect of gender on the body fat-cognition relationship. Results showed a differentiated pattern of fat-cognition relationship depending on fat localization and type of cognitive function. Statistically significant relationships were observed between working memory updating and: android fat (r = -0.232; p = 0.042), gynoid fat (r = 0.333; p = 0.003) and android/gynoid ratio (r = -0.272; p = 0.017). Separating genders, the only significant relationship was observed in females between working memory updating and gynoid fat (r = 0.280; p = 0.045). In spite of gender differences in both working memory updating and gynoid body fat levels, moderation analysis did not show an effect of gender on the relationship between gynoid fat and working memory updating. Results suggest a protective effect of gynoid body fat and a deleterious effect of android body fat. Although excessive body fat increases the risk of developing CDV, metabolic and cognitive problems, maintaining a certain proportion of gynoid fat may help prevent cognitive decline, particularly in older women. Guidelines for optimal body composition maintenance for the elderly should not target indiscriminate weight loss, but weight maintenance through body fat/lean mass control based on non-pharmacological tools such as physical exercise, known to have protective effects against CVD risk factors and age-related cognitive deterioration.

Learn CPR You Can Do It!

MedlinePlus

... free mobile training apps for the iPhone and Android Phones. Get the iPhone App Here - Get the Android App Here STANDARD CPR FOR ADULTS - CPR in ... Take the videos wherever you go free. FREE ANDROID APP - Free training app for Android equipped phones. ...

Birth weight and growth from infancy to late adolescence in relation to fat and lean mass in early old age: findings from the MRC National Survey of Health and Development.

PubMed

Bann, D; Wills, A; Cooper, R; Hardy, R; Aihie Sayer, A; Adams, J; Kuh, D

2014-01-01

High birth weight and greater weight gain in infancy have been associated with increased risk of obesity as assessed using body mass index, but few studies have examined associations with direct measures of fat and lean mass. This study examined associations of birth weight and weight and height gain in infancy, childhood and adolescence with fat and lean mass in early old age. A total of 746 men and 812 women in England, Scotland and Wales from the MRC National Survey of Health and Development whose heights and weights had been prospectively ascertained across childhood and adolescence and who had dual energy X-ray absorptiometry measures at age 60-64 years. Associations of birth weight and standardised weight and height (0-2 (weight only), 2-4, 4-7, 7-11, 11-15, 15-20 years) gain velocities with outcome measures were examined. Higher birth weight was associated with higher lean mass and lower android/gynoid ratio at age 60-64 years. For example, the mean difference in lean mass per 1 standard deviation increase in birth weight was 1.54 kg in males (95% confidence interval=1.04, 2.03) and 0.78 kg in females (0.41, 1.14). Greater weight gain in infancy was associated with higher lean mass, whereas greater gains in weight in later childhood and adolescence were associated with higher fat and lean mass, and fat/lean and android/gynoid ratios. Across growth intervals greater height gain was associated with higher lean but not fat mass, and with lower fat/lean and android/gynoid ratios. Findings suggest that growth in early life may have lasting effects on fat and lean mass. Greater weight gain before birth and in infancy may be beneficial by leading to higher lean mass, whereas greater weight gain in later childhood and adolescence may be detrimental by leading to higher fat/lean and android/gynoid ratios.

Covert Android Rootkit Detection: Evaluating Linux Kernel Level Rootkits on the Android Operating System

DTIC Science & Technology

2012-06-14

the attacker . Thus, this race condition causes a privilege escalation . 2.2.5 Summary This section reviewed software exploitation of a Linux kernel...has led to increased targeting by malware writers. Android attacks have naturally sparked interest in researching protections for Android . This...release, Android 4.0 Ice Cream Sandwich. These rootkits focused on covert techniques to hide the presence of data used by an attacker to infect a

Development of Whole Slide Imaging on Smartphones and Evaluation With ThinPrep Cytology Test Samples: Follow-Up Study.

PubMed

Huang, Yu-Ning; Peng, Xing-Chun; Ma, Shuoxin; Yu, Hong; Jin, Yu-Biao; Zheng, Jun; Fu, Guo-Hui

2018-04-04

The smartphone-based whole slide imaging (WSI) system represents a low-cost and effective alternative to automatic scanners for telepathology. In a previous study, the development of one such solution, named scalable whole slide imaging (sWSI), was presented and analyzed. A clinical evaluation of its iOS version with 100 frozen section samples verified the diagnosis-readiness of the produced virtual slides. The first aim of this study was to delve into the quantifying issues encountered in the development of an Android version. It should also provide insights into future high-resolution real-time feedback medical imaging apps on Android and invoke the awareness of smartphone manufacturers for collaboration. The second aim of this study was to further verify the clinical value of sWSI with cytology samples. This type is different from the frozen section samples in that they require finer detail on the cellular level. During sWSI development on Android, it was discovered that many models do not support uncompressed camera pixel data with sufficient resolution and full field of view. The proportion of models supporting the optimal format was estimated in a test on 200 mainstream Android models. Other factors, including slower processing speed and camera preview freezing, also led to inferior performance of sWSI on Android compared with the iOS version. The processing speed was mostly determined by the central processing unit frequency in theory, and the relationship was investigated in the 200-model simulation experiment with physical devices. The camera preview freezing was caused by the lag between triggering photo capture and resuming preview. In the clinical evaluation, 100 ThinPrep cytology test samples covering 6 diseases were scanned with sWSI and compared against the ground truth of optical microscopy. Among the tested Android models, only 3.0% (6/200) provided an optimal data format, meeting all criteria of quality and efficiency. The image-processing speed demonstrated a positive relationship with the central processing unit frequency but to a smaller degree than expected and was highly model-dependent. The virtual slides produced by sWSI on Android and iOS of ThinPrep cytology test samples achieved similar high quality. Using optical microscopy as the ground truth, pathologists made a correct diagnosis on 87.5% (175/200) of the cases with sWSI virtual slides. Depending on the sWSI version and the pathologist in charge, the kappa value varied between .70 and .82. All participating pathologists considered the quality of the sWSI virtual slides in the experiment to be adequate for routine usage. Limited by hardware and operating system support, the performance of sWSI on mainstream Android smartphones did not fully match the iOS version. However, in practice, this difference was not significant, and both were adequate for digitizing most of the sample types for telepathology consultation. ©Yu-Ning Huang, Xing-Chun Peng, Shuoxin Ma, Hong Yu, Yu-Biao Jin, Jun Zheng, Guo-Hui Fu. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 04.04.2018.

GeoTools: An android phone application in geology

NASA Astrophysics Data System (ADS)

Weng, Yi-Hua; Sun, Fu-Shing; Grigsby, Jeffry D.

2012-07-01

GeoTools is an Android application that can carry out several tasks essential in geological field studies. By employing the accelerometer in the Android phone, the application turns the handset into a pocket transit compass by which users can measure directions, strike and dip of a bedding plane, or trend and plunge of a fold. The application integrates functionalities of photo taking, videotaping, audio recording, and note writing with GPS coordinates to track the location at which each datum was taken. A time-stamped file name is shared by the various types of data taken at the same location. Data collected at different locations are named in a chronological sequence. At the end of each set of operations, GeoTools also automatically generates an XML file to summarize the characteristics of data being collected corresponding to a specific location. In this way, GeoTools allows geologists to use a multimedia approach to document their field observations with a clear data organization scheme in one handy gadget.

Understanding of Android-Based Robotic and Game Structure

NASA Astrophysics Data System (ADS)

Phongtraychack, A.; Syryamkin, V.

2018-05-01

The development of an android with impressive lifelike appearance and behavior has been a long-standing goal in robotics and a new and exciting approach of smartphone-based robotics for research and education. Recent years have been progressive for many technologies, which allowed creating such androids. There are different examples including the autonomous Erica android system capable of conversational interaction and speech synthesis technologies. The behavior of Android-based robot could be running on the phone as the robot performed a task outdoors. In this paper, we present an overview and understanding of the platform of Android-based robotic and game structure for research and education.

Fetal and infant growth patterns associated with total and abdominal fat distribution in school-age children.

PubMed

Gishti, Olta; Gaillard, Romy; Manniesing, Rashindra; Abrahamse-Berkeveld, Marieke; van der Beek, Eline M; Heppe, Denise H M; Steegers, Eric A P; Hofman, Albert; Duijts, Liesbeth; Durmuş, Büşra; Jaddoe, Vincent W V

2014-07-01

Higher infant growth rates are associated with an increased risk of obesity in later life. We examined the associations of longitudinally measured fetal and infant growth patterns with total and abdominal fat distribution in childhood. We performed a population-based prospective cohort study among 6464 children. We measured growth characteristics in the second and third trimesters of pregnancy, at birth, and at 6, 12, and 24 months. Body mass index, fat mass index (body fat mass/height(2)), lean mass index (body lean mass/height(2)), android/gynoid fat ratio measured by dual-energy x-ray absorptiometry, and sc and preperitoneal abdominal fat measured by ultrasound at the median age of 6.0 years (90% range, 5.7-7.4). We observed that weight gain in the second and third trimesters of fetal life and in early, mid, and late infancy were independently and positively associated with childhood body mass index (P < .05). Only infant weight gain was associated with higher fat mass index, android/gynoid fat ratio, and abdominal fat in childhood (P < .05). Children with both fetal and infant growth acceleration had the highest childhood body mass index, fat mass index, and sc abdominal fat, whereas children with fetal growth deceleration and infant growth acceleration had the highest value for android/gynoid fat ratio and the lowest value for lean mass index (P < .05). Growth in both fetal life and infancy affects childhood body mass index, whereas only infant growth directly affects measured total body and abdominal fat. Fetal growth deceleration followed by infant growth acceleration may lead to an adverse body fat distribution in childhood.

Migrating Dari Clustergen Flite Text-to-Speech Voice from Desktop to Android

DTIC Science & Technology

2014-09-01

Fig. 2 Android SDK Manager included in Eclipse ........................................................................7 Fig. 3 Android C Compiler...9 Android Flite Engine project imported to Eclipse .............................................................15 Fig. 10 Main page of the...17 Fig. 13 Building “libttsflite.so” in Eclipse using NDK ...............................................................18 Fig. 14

Blending an Android Development Course with Software Engineering Concepts

ERIC Educational Resources Information Center

Chatzigeorgiou, Alexander; Theodorou, Tryfon L.; Violettas, George E.; Xinogalos, Stelios

2016-01-01

The tremendous popularity of mobile computing and Android in particular has attracted millions of developers who see opportunities for building their own start-ups. As a consequence Computer Science students express an increasing interest into the related technology of Java development for Android applications. Android projects are complex by…

76 FR 79221 - Android Industries Belvidere, LLC, Including On-Site Leased Workers From QPS Employment Group...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-21

... DEPARTMENT OF LABOR Employment and Training Administration [TA-W-73,072] Android Industries..., 2010, applicable to workers of Android Industries Belvidere, LLC, including on-site leased workers from... Belvidere, Illinois location of Android Industries Belvidere, LLC. The Department has determined that these...

The Apparent Relation between Plasma 25-Hydroxyvitamin D and Insulin Resistance Is Largely Attributable to Central Adiposity in Overweight and Obese Adults12

PubMed Central

Wright, Christian S; Weinheimer-Haus, Eileen M; Fleet, James C; Peacock, Munro; Campbell, Wayne W

2015-01-01

Background: Research indicates that plasma 25-hydroxyvitamin D [25(OH)D] is associated with insulin resistance, but whether regional adiposity confounds this association is unclear. Objective: This study assessed the potential influence of adiposity and its anatomical distribution on the relation between plasma 25(OH)D and insulin resistance. Methods: A secondary analysis of data from middle-aged overweight and obese healthy adults [n = 336: 213 women and 123 men; mean ± SD (range); age: 48 ± 8 y (35–65 y); body mass index (BMI; in kg/m2): 30.3 ± 2.7 (26–35)] from West Lafayette, Indiana (40.4°N), were used for this cross-sectional analysis. Multiple linear regression analyses that controlled for multiple covariates were used as the primary statistical model. Results: Of all participants, 8.6% and 20.5% displayed moderate [20.1–37.5 nmol/L plasma 25(OH)D] to mild (37.6–49.9 nmol/L) vitamin D insufficiency, respectively. A regression analysis controlling for age, sex, race, plasma parathyroid hormone concentration, season of year, and supplement use showed that 25(OH)D was negatively associated with fasting insulin (P = 0.021). Additional regression analyses showed that total and central adiposity but not peripheral adiposity predicted low plasma 25(OH)D [total fat mass index (FMI): P = 0.018; android FMI: P = 0.052; gynoid FMI: P = 0.15; appendicular FMI: P = 0.07) and insulin resistance (homeostasis model assessment of insulin resistance: total and android FMI, P <0.0001; gynoid FMI, P = 0.94; appendicular FMI, P = 0.86). The associations of total and central adiposity with insulin resistance remained significant after adjusting for plasma 25(OH)D. However, adjusting for central adiposity but not other anatomical measures of fat distribution eliminated the association between plasma 25(OH)D and insulin resistance. Conclusion: Central adiposity drives the association between plasma 25(OH)D and insulin resistance in overweight and obese adults. The trial was registered at clinicaltrials.gov as NCT00812409. PMID:26446485

MixDroid: A multi-features and multi-classifiers bagging system for Android malware detection

NASA Astrophysics Data System (ADS)

Huang, Weiqing; Hou, Erhang; Zheng, Liang; Feng, Weimiao

2018-05-01

In the past decade, Android platform has rapidly taken over the mobile market for its superior convenience and open source characteristics. However, with the popularity of Android, malwares targeting on Android devices are increasing rapidly, while the conventional rule-based and expert-experienced approaches are no longer able to handle such explosive growth. In this paper, combining with the theory of natural language processing and machine learning, we not only implement the basic feature extraction of permission application features, but also propose two innovative schemes of feature extraction: Dalvik opcode features and malicious code image, and implement an automatic Android malware detection system MixDroid which is based on multi-features and multi-classifiers. According to our experiment results on 20,000 Android applications, detection accuracy of MixDroid is 98.1%, which proves our schemes' effectiveness in Android malware detection.

77 FR 31643 - AI-Shreveport, LLC A Subsidiary of Android Industries Including On-Site Leased Workers From...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-29

... Subsidiary of Android Industries Including On-Site Leased Workers From Career Adventures, Inc. Shreveport..., 2011, applicable to workers of AI-Shreveport, LLC, a subsidiary of Android Industries, Shreveport...- Shreveport, LLC, a subsidiary of Android Industries. The amended notice applicable to TA-W-80,515 is hereby...

Subthalamic nucleus detects unnatural android movement.

PubMed

Ikeda, Takashi; Hirata, Masayuki; Kasaki, Masashi; Alimardani, Maryam; Matsushita, Kojiro; Yamamoto, Tomoyuki; Nishio, Shuichi; Ishiguro, Hiroshi

2017-12-19

An android, i.e., a realistic humanoid robot with human-like capabilities, may induce an uncanny feeling in human observers. The uncanny feeling about an android has two main causes: its appearance and movement. The uncanny feeling about an android increases when its appearance is almost human-like but its movement is not fully natural or comparable to human movement. Even if an android has human-like flexible joints, its slightly jerky movements cause a human observer to detect subtle unnaturalness in them. However, the neural mechanism underlying the detection of unnatural movements remains unclear. We conducted an fMRI experiment to compare the observation of an android and the observation of a human on which the android is modelled, and we found differences in the activation pattern of the brain regions that are responsible for the production of smooth and natural movement. More specifically, we found that the visual observation of the android, compared with that of the human model, caused greater activation in the subthalamic nucleus (STN). When the android's slightly jerky movements are visually observed, the STN detects their subtle unnaturalness. This finding suggests that the detection of unnatural movements is attributed to an error signal resulting from a mismatch between a visual input and an internal model for smooth movement.

Commingling effect of gynoid and android fat patterns on cardiometabolic dysregulation in normal weight American adults.

PubMed

Okosun, I S; Seale, J P; Lyn, R

2015-05-18

To determine the independent and commingling effect of android and gynoid percent fat (measured using Dual Energy X-Ray Absorptiometry) on cardiometabolic dysregulation in normal weight American adults. The 2005-2006 data (n=1802) from the United States National Health and Nutritional Examination Surveys (NHANES) were used in this study. Associations of android percent fat, gynoid percent fat and their joint occurrence with risks of cardiometabolic risk factors were estimated using prevalence odds ratios from logistic regression analyses. Android-gynoid percent fat ratio was more highly correlated with cardiometabolic dysregulation than android percent fat, gynoid percent fat or body mass index. Commingling of android and gynoid adiposities was associated with much greater odds of cardiometabolic risk factors than either android or gynoid adiposities. Commingling of android and gynoid adiposities was associated with 1.75 (95% confidence interval (CI)=1.42-2.93), 1.48 (95% CI=1.32-1.91), 1.61 (95% CI=1.50-1.89), 3.56 (95% CI=2.91-4.11) and 1.86 (95% CI=1.49-1.96) increased odds of elevated glucose, elevated blood pressure, elevated low-density lipoprotein-cholesterol, elevated triglyceride and low high-density lipoprotein-cholesterol, respectively. Normal weight subjects who present with both android and gynoid adiposities should be advised of the associated health risks. Both android and gynoid fat accumulations should be considered in developing public health strategies for reducing cardiometabolic disease risk in normal weight subjects.

Designing the user interfaces of a behavior modification intervention for obesity & eating disorders prevention.

PubMed

Moulos, Ioannis; Maramis, Christos; Mourouzis, Alexandros; Maglaveras, Nicos

2015-01-01

The recent immense diffusion of smartphones has significantly upgraded the role of mobile user interfaces in interventions that build and/or maintain healthier lifestyles. Indeed, high-quality, user-centered smartphone applications are able to serve as advanced front-ends to such interventions. These smartphone applications, coupled with portable or wearable sensors, are being employed for monitoring day to day health-related behaviors, including eating and physical activity. Some of them take one step forward by identifying unhealthy behaviors and contributing towards their modification. This work presents the design as well as the preliminary implementation of the mobile user interface of SPLENDID, a novel, sensor-oriented intervention for preventing obesity and eating disorders in young populations. This is implemented by means of an Android application, which is able to monitor the eating and physical activity behaviors of young individuals at risk for obesity and/or eating disorders, subsequently guiding them towards the modification of those behaviors that put them at risk. Behavior monitoring is based on multiple data provided by a set of communicating sensors and self-reported information, while guidance is facilitated through a feedback/encouragement provision and goal setting mechanism.

Lifestyle Practices and Obesity in Malaysian Adolescents

PubMed Central

Teo, Pey Sze; Nurul-Fadhilah, Abdullah; Aziz, Mohd Ezane; Hills, Andrew P.; Foo, Leng Huat

2014-01-01

Aim: To determine the influence of physical activity (PA) and sedentary behavior (SB) on obesity profiles of 454 Malaysian adolescents aged 12 to 19. Methods: Validated PA and SB questionnaires were used and body composition assessed using anthropometry and dual-energy X-ray absorptiometry (DXA). Results: Gender-specific multivariate analyses showed boys with high levels of total PA and moderate-to-vigorous physical activity (MVPA) exhibited significantly lower levels of total body fat, percent body fat and android fat mass compared with low PA and MVPA groups, after adjusting for potential confounders. Girls with high SB levels showed significantly higher BMI, waist circumference and DXA-derived body fat indices than those at lower SB level. Multiple logistic analyses indicated that boys with low levels of total PA and MVPA had significantly greater obesity risk, 3.0 (OR 3.0; 95% CI, 1.1–8.1; p < 0.05) and 3.8-fold (OR 3.8; 95% CI, 1.4–10.1; p < 0.01), respectively, than more active boys. Only in girls with high SB level was there a significantly increased risk of obesity, 2.9 times higher than girls at low SP levels (OR 2.8; 95% CI, 1.0–7.5; p < 0.05). Conclusions: The present findings indicate that higher PA duration and intensity reduced body fat and obesity risk while high screen-based sedentary behaviors significantly adversely influenced body fat mass, particularly amongst girls when the PA level was low. PMID:24886753

Lifestyle practices and obesity in Malaysian adolescents.

PubMed

Teo, Pey Sze; Nurul-Fadhilah, Abdullah; Aziz, Mohd Ezane; Hills, Andrew P; Foo, Leng Huat

2014-05-30

To determine the influence of physical activity (PA) and sedentary behavior (SB) on obesity profiles of 454 Malaysian adolescents aged 12 to 19. Validated PA and SB questionnaires were used and body composition assessed using anthropometry and dual-energy X-ray absorptiometry (DXA). Gender-specific multivariate analyses showed boys with high levels of total PA and moderate-to-vigorous physical activity (MVPA) exhibited significantly lower levels of total body fat, percent body fat and android fat mass compared with low PA and MVPA groups, after adjusting for potential confounders. Girls with high SB levels showed significantly higher BMI, waist circumference and DXA-derived body fat indices than those at lower SB level. Multiple logistic analyses indicated that boys with low levels of total PA and MVPA had significantly greater obesity risk, 3.0 (OR 3.0; 95% CI, 1.1-8.1; p < 0.05) and 3.8-fold (OR 3.8; 95% CI, 1.4-10.1; p < 0.01), respectively, than more active boys. Only in girls with high SB level was there a significantly increased risk of obesity, 2.9 times higher than girls at low SP levels (OR 2.8; 95% CI, 1.0-7.5; p < 0.05).   The present findings indicate that higher PA duration and intensity reduced body fat and obesity risk while high screen-based sedentary behaviors significantly adversely influenced body fat mass, particularly amongst girls when the PA level was low.

Significant Beneficial Association of High Dietary Selenium Intake with Reduced Body Fat in the CODING Study

PubMed Central

Wang, Yongbo; Gao, Xiang; Pedram, Pardis; Shahidi, Mariam; Du, Jianling; Yi, Yanqing; Gulliver, Wayne; Zhang, Hongwei; Sun, Guang

2016-01-01

Selenium (Se) is a trace element which plays an important role in adipocyte hypertrophy and adipogenesis. Some studies suggest that variations in serum Se may be associated with obesity. However, there are few studies examining the relationship between dietary Se and obesity, and findings are inconsistent. We aimed to investigate the association between dietary Se intake and a panel of obesity measurements with systematic control of major confounding factors. A total of 3214 subjects participated in the study. Dietary Se intake was determined from the Willett food frequency questionnaire. Body composition was measured using dual-energy X-ray absorptiometry. Obese men and women had the lowest dietary Se intake, being 24% to 31% lower than corresponding normal weight men and women, classified by both BMI and body fat percentage. Moreover, subjects with the highest dietary Se intake had the lowest BMI, waist circumference, and trunk, android, gynoid and total body fat percentages, with a clear dose-dependent inverse relationship observed in both gender groups. Furthermore, significant negative associations discovered between dietary Se intake and obesity measurements were independent of age, total dietary calorie intake, physical activity, smoking, alcohol, medication, and menopausal status. Dietary Se intake alone may account for 9%–27% of the observed variations in body fat percentage. The findings from this study strongly suggest that high dietary Se intake is associated with a beneficial body composition profile. PMID:26742059

Commingling effect of gynoid and android fat patterns on cardiometabolic dysregulation in normal weight American adults

PubMed Central

Okosun, I S; Seale, J P; Lyn, R

2015-01-01

Aim: To determine the independent and commingling effect of android and gynoid percent fat (measured using Dual Energy X-Ray Absorptiometry) on cardiometabolic dysregulation in normal weight American adults. Methods: The 2005–2006 data (n=1802) from the United States National Health and Nutritional Examination Surveys (NHANES) were used in this study. Associations of android percent fat, gynoid percent fat and their joint occurrence with risks of cardiometabolic risk factors were estimated using prevalence odds ratios from logistic regression analyses. Results: Android-gynoid percent fat ratio was more highly correlated with cardiometabolic dysregulation than android percent fat, gynoid percent fat or body mass index. Commingling of android and gynoid adiposities was associated with much greater odds of cardiometabolic risk factors than either android or gynoid adiposities. Commingling of android and gynoid adiposities was associated with 1.75 (95% confidence interval (CI)=1.42–2.93), 1.48 (95% CI=1.32–1.91), 1.61 (95% CI=1.50–1.89), 3.56 (95% CI=2.91–4.11) and 1.86 (95% CI=1.49–1.96) increased odds of elevated glucose, elevated blood pressure, elevated low-density lipoprotein-cholesterol, elevated triglyceride and low high-density lipoprotein-cholesterol, respectively. Conclusions: Normal weight subjects who present with both android and gynoid adiposities should be advised of the associated health risks. Both android and gynoid fat accumulations should be considered in developing public health strategies for reducing cardiometabolic disease risk in normal weight subjects. PMID:25985091

An Integrated System for Wildlife Sensing

DTIC Science & Technology

2014-08-14

design requirement. “Sensor Controller” software. A custom Sensor Controller application was developed for the Android device in order to collect...and log readings from that device’s sensors. “Camera Controller” software. A custom Camera Controller application was developed for the Android device...into 2 separate Android applications (Figure 4). The Sensor Controller logs readings periodically from the Android device’s organic sensors, and

Eyeblink Synchrony in Multimodal Human-Android Interaction.

PubMed

Tatsukawa, Kyohei; Nakano, Tamami; Ishiguro, Hiroshi; Yoshikawa, Yuichiro

2016-12-23

As the result of recent progress in technology of communication robot, robots are becoming an important social partner for humans. Behavioral synchrony is understood as an important factor in establishing good human-robot relationships. In this study, we hypothesized that biasing a human's attitude toward a robot changes the degree of synchrony between human and robot. We first examined whether eyeblinks were synchronized between a human and an android in face-to-face interaction and found that human listeners' eyeblinks were entrained to android speakers' eyeblinks. This eyeblink synchrony disappeared when the android speaker spoke while looking away from the human listeners but was enhanced when the human participants listened to the speaking android while touching the android's hand. These results suggest that eyeblink synchrony reflects a qualitative state in human-robot interactions.

Comprehension-Driven Program Analysis (CPA) for Malware Detection in Android Phones

DTIC Science & Technology

2015-07-01

COMPREHENSION-DRIVEN PROGRAM ANALYSIS (CPA) FOR MALWARE DETECTION IN ANDROID PHONES IOWA STATE UNIVERSITY JULY 2015 FINAL...DRIVEN PROGRAM ANALYSIS (CPA) FOR MALWARE DETECTION IN ANDROID PHONES Sb. GRANT NUMBER N/A Sc. PROGRAM ELEMENT NUMBER 6 1101E 6. AUTHOR(S) Sd...machine analysis system to detect novel, sophisticated Android malware. (c) An innovative library summarization technique and its incorporation in

Privacy as Part of the App Decision-Making Process

DTIC Science & Technology

2013-02-06

concerns they may not actively consider privacy while downloading apps from smartphone application marketplaces. Currently Android users have only the... Android permissions display which appears after they have selected an app to download to help them understand how applications access their information...marketplaces. Currently, Android users have only the Android permissions display, which appears after they have selected an app to download, to help

Implementation of Super-Encryption with Trithemius Algorithm and Double Transposition Cipher in Securing PDF Files on Android Platform

NASA Astrophysics Data System (ADS)

Budiman, M. A.; Rachmawati, D.; Jessica

2018-03-01

This study aims to combine the trithemus algorithm and double transposition cipher in file security that will be implemented to be an Android-based application. The parameters being examined are the real running time, and the complexity value. The type of file to be used is a file in PDF format. The overall result shows that the complexity of the two algorithms with duper encryption method is reported as Θ (n 2). However, the processing time required in the encryption process uses the Trithemius algorithm much faster than using the Double Transposition Cipher. With the length of plaintext and password linearly proportional to the processing time.

Towards a Location-based Service for Early Mental Health Interventions in Disaster Response Using Minimalistic Tele-operated Android Robots Technology

NASA Astrophysics Data System (ADS)

Vahidi, H.; Mobasheri, A.; Alimardani, M.; Guan, Q.; Bakillah, M.

2014-04-01

Providing early mental health services during disaster is a great challenge in the disaster response phase. Lack of access to adequate mental-health professionals in the early stages of large-scale disasters dramatically influences the trend of a successful mental health aid. In this paper, a conceptual framework has been suggested for adopting cellphone-type tele-operated android robots in the early stages of disasters for providing the early mental health services for disaster survivors by developing a locationbased and participatory approach. The techniques of enabling GI-services in a Peer-to-Peer (P2P) environment were studied to overcome the limitations of current centralized services. Therefore, the aim of this research study is to add more flexibility and autonomy to GI web services (WMS, WFS, WPS, etc.) and alleviate to some degree the inherent limitations of these centralized systems. A P2P system Architecture is presented for the location-based service using minimalistic tele-operated android robots, and some key techniques of implementing this service using BestPeer were studied for developing this framework.

Hybrid polylingual object model: an efficient and seamless integration of Java and native components on the Dalvik virtual machine.

PubMed

Huang, Yukun; Chen, Rong; Wei, Jingbo; Pei, Xilong; Cao, Jing; Prakash Jayaraman, Prem; Ranjan, Rajiv

2014-01-01

JNI in the Android platform is often observed with low efficiency and high coding complexity. Although many researchers have investigated the JNI mechanism, few of them solve the efficiency and the complexity problems of JNI in the Android platform simultaneously. In this paper, a hybrid polylingual object (HPO) model is proposed to allow a CAR object being accessed as a Java object and as vice in the Dalvik virtual machine. It is an acceptable substitute for JNI to reuse the CAR-compliant components in Android applications in a seamless and efficient way. The metadata injection mechanism is designed to support the automatic mapping and reflection between CAR objects and Java objects. A prototype virtual machine, called HPO-Dalvik, is implemented by extending the Dalvik virtual machine to support the HPO model. Lifespan management, garbage collection, and data type transformation of HPO objects are also handled in the HPO-Dalvik virtual machine automatically. The experimental result shows that the HPO model outweighs the standard JNI in lower overhead on native side, better executing performance with no JNI bridging code being demanded.

Examining Application Components to Reveal Android Malware

DTIC Science & Technology

2013-03-01

RGBDroid: a novel response-based approach to android privilege escalation attacks ”. Proceedings of the 5th USENIX conference on Large-Scale Exploits and...Wetherall. “These aren’t the droids you’re looking for: retrofitting android to protect data from imperious applications”. Proceedings of the 18th ACM...copyright protection in the United States. AFIT-ENG-13-M-19 EXAMINING APPLICATION COMPONENTS TO REVEAL ANDROID MALWARE THESIS Presented to the Faculty

Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets

DTIC Science & Technology

2015-03-01

privileged task for an application without permissions. The Epicc [3] tool precisely analyzes inter-app communication in Android . By looking at intents...security. By placing adjustable limitations on what resources applications can use, Android allows users a large degree of control over how much trust...the user’s location, contacts, and other personal details. One of the core assumptions of the Android permission system is that an application that

Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets

DTIC Science & Technology

2015-03-31

privileged task for an application without permissions. The Epicc [3] tool precisely analyzes inter-app communication in Android . By looking at intents...security. By placing adjustable limitations on what resources applications can use, Android allows users a large degree of control over how much trust...the user’s location, contacts, and other personal details. One of the core assumptions of the Android permission system is that an application that

Developing android-based science instructional media to improve scientific literacy of junior high school students

NASA Astrophysics Data System (ADS)

Farida, I. I.; Jumadi; Wilujeng; Senam

2018-04-01

The aims of this study are: to develop android-based science instructional media and to reveal the characteristic, the quality, and the effectiveness of android-based science instructional media with global warming topic to increase junior high school students’ scientific literacy. This study is a development research. The instructional media were reviewed by a media expert, a material expert, science teachers, peer reviewers, and students. The data was collected using media evaluation questionnaires. The results of the study showed that: (1) the android-based science instructional media has characteristics including interesting visualization, easy to use, flexible, and practical, (2) the android-based science instructional media was appropriate for teaching, in terms of material evaluation aspects, media evaluation aspects, and based on student test results, and (3) the android-based science instructional media can effectively used for teaching.

Porting Extremely Lightweight Intrusion Detection (ELIDe) to Android

DTIC Science & Technology

2015-10-01

ARL-TN-0681 ● OCT 2015 US Army Research Laboratory Porting Extremely Lightweight Intrusion Detection (ELIDe) to Android by...Lightweight Intrusion Detection (ELIDe) to Android by Ken F Yu and Garret S Payer Computational and Information Sciences Directorate, ARL...

Android malware detection based on evolutionary super-network

NASA Astrophysics Data System (ADS)

Yan, Haisheng; Peng, Lingling

2018-04-01

In the paper, an android malware detection method based on evolutionary super-network is proposed in order to improve the precision of android malware detection. Chi square statistics method is used for selecting characteristics on the basis of analyzing android authority. Boolean weighting is utilized for calculating characteristic weight. Processed characteristic vector is regarded as the system training set and test set; hyper edge alternative strategy is used for training super-network classification model, thereby classifying test set characteristic vectors, and it is compared with traditional classification algorithm. The results show that the detection method proposed in the paper is close to or better than traditional classification algorithm. The proposed method belongs to an effective Android malware detection means.

Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets

DTIC Science & Technology

2015-03-01

limitations on what resources applications can use, Android allows users a large degree of control over how much trust should be given to specific...and other personal details. One of the core assumptions of the Android permission system is that an application that lacks permission to access a...the Android permission system is well suited for controlling access for applications in isolation, it can fail to protect resources on the device

Characterization of Extremely Lightweight Intrusion Detection (ELIDe) Power Utilization with Varying Throughput and Payload Sizes

DTIC Science & Technology

2015-09-01

Extremely Lightweight Intrusion Detection (ELIDe) algorithm on an Android -based mobile device. Our results show that the hashing and inner product...approximately 2.5 megabits per second (assuming a normal distribution of packet sizes) with no significant packet loss. 15. SUBJECT TERMS ELIDe, Android , pcap...system (OS). To run ELIDe, the current version was ported for use on Android .4 2.1 Mobile Device After ELIDe was ported to the Android mobile

Rooting an Android Device

DTIC Science & Technology

2015-09-01

Hat Enterprise Linux, version 6.5 • Android Development Tools (ADT), version 22.3.0-887826 • Saferoot1 • Samsung Galaxy S3 • Dell Precision T7400...method used for the Samsung Galaxy S3 is called Saferoot1—a well- known, open- source software. According to the Saferoot website, the process of...is applicable for the Samsung Galaxy S3 as well as many other Android devices, but there are several steps involved in rooting an Android device (as

Degraded Operational Environment: Integration of Social Network Infrastructure Concept in a Traditional Military C2 System

DTIC Science & Technology

2013-06-01

Communication Applet) UNIGE – D.I.M.E. Using a free application as “MIT APP Inventor” Android Software Development Kit DEGRADED C2 ICCRTS 2013...operate on an Android operating system up-gradable on which will be developed a simplified ACA ( Android Communication Applet) that will call C24U...Server) IP number . . . Portable COTS Devices ACA - C24U ( Android Communication Applet) Sending/receiving SEFL (Simple Exchange

Evaluating the human likeness of an android by comparing gaze behaviors elicited by the android and a person

PubMed Central

MINATO, TAKASHI; SHIMADA, MICHIHIRO; ITAKURA, SHOJI; LEE, KANG; ISHIGURO, HIROSHI

2008-01-01

Our research goal is to discover the principles underlying natural communication among individuals and to establish a methodology for the development of expressive humanoid robots. For this purpose we have developed androids that closely resemble human beings. The androids enable us to investigate a number of phenomena related to human interaction that could not otherwise be investigated with mechanical-looking robots. This is because more human-like devices are in a better position to elicit the kinds of responses that people direct toward each other. Moreover, we cannot ignore the role of appearance in giving us a subjective impression of human presence or intelligence. However, this impression is influenced by behavior and the complex relationship between appearance and behavior. This paper proposes a hypothesis about how appearance and behavior are related, and maps out a plan for android research to investigate this hypothesis. We then examine a study that evaluates the human likeness of androids according to the gaze behavior they elicit. Studies such as these, which integrate the development of androids with the investigation of human behavior, constitute a new research area that fuses engineering and science. PMID:18985174

An Android Communication App Forensic Taxonomy.

PubMed

Azfar, Abdullah; Choo, Kim-Kwang Raymond; Liu, Lin

2016-09-01

Due to the popularity of Android devices and applications (apps), Android forensics is one of the most studied topics within mobile forensics. Communication apps, such as instant messaging and Voice over IP (VoIP), are one popular app category used by mobile device users, including criminals. Therefore, a taxonomy outlining artifacts of forensic interest involving the use of Android communication apps will facilitate the timely collection and analysis of evidentiary materials from such apps. In this paper, 30 popular Android communication apps were examined, where a logical extraction of the Android phone images was collected using XRY, a widely used mobile forensic tool. Various information of forensic interest, such as contact lists and chronology of messages, was recovered. Based on the findings, a two-dimensional taxonomy of the forensic artifacts of the communication apps is proposed, with the app categories in one dimension and the classes of artifacts in the other dimension. Finally, the artifacts identified in the study of the 30 communication apps are summarized using the taxonomy. It is expected that the proposed taxonomy and the forensic findings in this paper will assist forensic investigations involving Android communication apps. © 2016 American Academy of Forensic Sciences.

Android Security Analysis

DTIC Science & Technology

2016-03-01

November 2015). Sample: hello -jni. Android NDK. Available: http://developer.android.com/ndk/samples/sample_hellojni.html [49] A. Pyles and M. Peck...Demonstration Application We wrote an application based on Google’s sample custom class loading app [47] and the hello - jni sample app found in the

Development of Android based Smart Power Saving System

NASA Astrophysics Data System (ADS)

Gupta, Ashutosh; Kumar, Pradeep; Ghosh, Tathagata; Bhawna, Shruthi. S.

2017-08-01

An android based smart power saving system has been presented in this paper. For this purpose, an application is developed for controlling the intensity of an AC supply using a dimmer circuit in android platform and to monitor the current flow on different intensity level a current sensor is used in the circuit. Dimmer circuit provides a 16-different intensity level to control the flow of current and help in power saving. The system is very simple and robust as it is based on android platform.

Management of obesity in non- insulin- dependent diabetes mellitus.

PubMed

Cheah, J S

1998-12-01

Obesity is common in non-insulin-dependent diabetes mellitus (NIDDM) patients; in Singapore in a cohort of 314 diabetics, 44.3% were overweight. Management of obesity in diabetics differs from that in non-diabetics in that it is more urgent; weight maintenance is more difficult and hypoglycaemic medication may cause weight changes. However, like in the non-diabetic, management of obesity in the diabetic requires a pragmatic and realistic approach. A team approach is required: the help of a nurse educator, a dietitian, behaviour modification therapist, exercise therapist and others are required. A detailed history, careful physical examination and relevant investigations are required to assess the severity of the diabetic state and to exclude an occasional underlying cause of the obesity in the obese NIDDM patient. Weight loss is urgent in the obese NIDDM patient, especially for those with android obesity. There must be a reduction in energy intake. Weight loss leads to an improvement in glucose tolerance and in insulin sensitivity, as well as to a reduction in lipid levels and to a fall in blood pressure in the hypertensive. Exercise is of limited short-term value measured in terms of weight reduction, except in the younger obese NIDDM patient; but it does allow improvement in overall metabolic control and, long-term, is critical for preferred weight maintenance. The biguanide, Metformin, is the hypoglycaemic drug of choice as it leads to consistent weight reduction. The sulphonylureas may cause weight gain. Insulin should be avoided where possible as it causes further weight gain. Other hypoglycaemic agents include Glucobay (alpha-glucosidase inhibitor) and Troglitazone (insulin sensitizer) which do not alter the weight. Orlistat (lipase inhibitor) is promising as it causes reduction of weight, blood glucose and lipid levels. Anti-obesity drugs (noradrenergic and serotonergic agents) have modest effects on weight reduction in the obese NIDDM patient; a widely-used preparation, Dexfenfluramine (Adifax), has been withdrawn because of side-effects. Surgery such as gastric plication is the last resort in treating the morbidly obese NIDDM patient. Against this background, the institution of life-long food and exercise habits which favour health, body composition and fat distribution are paramount in the prevention and minimization of expression of NIDDM. The discovery of leptin in 1994 has led to intense research into energy homeostasis in obesity; hopefully this will lead to better treatment of obesity in diabetics and non-diabetics.

Bridging the Mechanical and the Human Mind: Spontaneous Mimicry of a Physically Present Android

PubMed Central

Hofree, Galit; Ruvolo, Paul; Bartlett, Marian Stewart; Winkielman, Piotr

2014-01-01

The spontaneous mimicry of others' emotional facial expressions constitutes a rudimentary form of empathy and facilitates social understanding. Here, we show that human participants spontaneously match facial expressions of an android physically present in the room with them. This mimicry occurs even though these participants find the android unsettling and are fully aware that it lacks intentionality. Interestingly, a video of that same android elicits weaker mimicry reactions, occurring only in participants who find the android “humanlike.” These findings suggest that spontaneous mimicry depends on the salience of humanlike features highlighted by face-to-face contact, emphasizing the role of presence in human-robot interaction. Further, the findings suggest that mimicry of androids can dissociate from knowledge of artificiality and experienced emotional unease. These findings have implications for theoretical debates about the mechanisms of imitation. They also inform creation of future robots that effectively build rapport and engagement with their human users. PMID:25036365

Global Positioning System Disaster Notification Messaging Service

DTIC Science & Technology

2013-09-01

under AT&T service. Differing combinations of phone operating system types and versions (Android, iOS, Windows 8, Blackberry OS, et al.) service...streets, tunnels and subways. Substantial damage was incurred along the Atlantic coasts of both states with sustained power outages. As the storm’s

Hybrid PolyLingual Object Model: An Efficient and Seamless Integration of Java and Native Components on the Dalvik Virtual Machine

PubMed Central

Huang, Yukun; Chen, Rong; Wei, Jingbo; Pei, Xilong; Cao, Jing; Prakash Jayaraman, Prem; Ranjan, Rajiv

2014-01-01

JNI in the Android platform is often observed with low efficiency and high coding complexity. Although many researchers have investigated the JNI mechanism, few of them solve the efficiency and the complexity problems of JNI in the Android platform simultaneously. In this paper, a hybrid polylingual object (HPO) model is proposed to allow a CAR object being accessed as a Java object and as vice in the Dalvik virtual machine. It is an acceptable substitute for JNI to reuse the CAR-compliant components in Android applications in a seamless and efficient way. The metadata injection mechanism is designed to support the automatic mapping and reflection between CAR objects and Java objects. A prototype virtual machine, called HPO-Dalvik, is implemented by extending the Dalvik virtual machine to support the HPO model. Lifespan management, garbage collection, and data type transformation of HPO objects are also handled in the HPO-Dalvik virtual machine automatically. The experimental result shows that the HPO model outweighs the standard JNI in lower overhead on native side, better executing performance with no JNI bridging code being demanded. PMID:25110745

Deep learning application: rubbish classification with aid of an android device

NASA Astrophysics Data System (ADS)

Liu, Sijiang; Jiang, Bo; Zhan, Jie

2017-06-01

Deep learning is a very hot topic currently in pattern recognition and artificial intelligence researches. Aiming at the practical problem that people usually don't know correct classifications some rubbish should belong to, based on the powerful image classification ability of the deep learning method, we have designed a prototype system to help users to classify kinds of rubbish. Firstly the CaffeNet Model was adopted for our classification network training on the ImageNet dataset, and the trained network was deployed on a web server. Secondly an android app was developed for users to capture images of unclassified rubbish, upload images to the web server for analyzing backstage and retrieve the feedback, so that users can obtain the classification guide by an android device conveniently. Tests on our prototype system of rubbish classification show that: an image of one single type of rubbish with origin shape can be better used to judge its classification, while an image containing kinds of rubbish or rubbish with changed shape may fail to help users to decide rubbish's classification. However, the system still shows promising auxiliary function for rubbish classification if the network training strategy can be optimized further.

Popular NREL-Developed Transportation Mobile App Launches on Android

Science.gov Websites

Platform | News | NREL Popular NREL-Developed Transportation Mobile App Launches on Android Platform Popular NREL-Developed Transportation Mobile App Launches on Android Platform May 23, 2017 More . Department of Energy's (DOE) National Renewable Energy Laboratory developed the new mobile application for

An Android malware detection system based on machine learning

NASA Astrophysics Data System (ADS)

Wen, Long; Yu, Haiyang

2017-08-01

The Android smartphone, with its open source character and excellent performance, has attracted many users. However, the convenience of the Android platform also has motivated the development of malware. The traditional method which detects the malware based on the signature is unable to detect unknown applications. The article proposes a machine learning-based lightweight system that is capable of identifying malware on Android devices. In this system we extract features based on the static analysis and the dynamitic analysis, then a new feature selection approach based on principle component analysis (PCA) and relief are presented in the article to decrease the dimensions of the features. After that, a model will be constructed with support vector machine (SVM) for classification. Experimental results show that our system provides an effective method in Android malware detection.

Android and gynoid fat percentages and serum lipid levels in United States adults.

PubMed

Min, Kyoung-Bok; Min, Jin-Young

2015-03-01

Accumulating evidence suggests that fat distribution is a better predictor of cardiovascular disease than body mass index (BMI). The aim of this study was to investigate the association of android and gynoid fat percentages with lipid profiles to determine whether android and/or gynoid fat percentages are associated with serum lipid levels. A population-based cross-sectional study. Five thousand six hundred and ninety-six adults (20 years and older) who participated in the National Health and Nutrition Examination Survey 2003-2006. The regional body composition in the android and gynoid regions was defined by dual energy X-ray absorptiometry (DXA). The estimation of lipid risk profiles included total cholesterol, high-density lipoprotein (HDL) -cholesterol, low-density lipoprotein (LDL) -cholesterol and triglycerides (TG). Regardless of gender, android and gynoid body fat percentages were positively and significantly correlated with BMI and waist circumference. After adjustment for age, ethnicity, education, smoking, alcohol consumption, dyslipidaemia and BMI, increases in android fat percentage were significantly associated with total cholesterol, TG and HDL cholesterol in males, and total cholesterol, HDL cholesterol and LDL cholesterol in females. The gynoid fat percentages showed a positive correlation with total cholesterol in males, whereas gynoid fat accumulation in females showed a favourable association with TG and HDL cholesterol. The observed associations differed according to ethnic groups. Our results suggest that regional fat distribution in the android and gynoid regions have different effects on lipid profiles, and that fat in the android region, rather than the gynoid region, may be an important factor in determining the risk of cardiovascular disease. © 2014 John Wiley & Sons Ltd.

A Behavioral Lifestyle Intervention Enhanced With Multiple-Behavior Self-Monitoring Using Mobile and Connected Tools for Underserved Individuals With Type 2 Diabetes and Comorbid Overweight or Obesity: Pilot Comparative Effectiveness Trial.

PubMed

Wang, Jing; Cai, Chunyan; Padhye, Nikhil; Orlander, Philip; Zare, Mohammad

2018-04-10

Self-monitoring is a cornerstone of behavioral lifestyle interventions for obesity and type 2 diabetes mellitus. Mobile technology has the potential to improve adherence to self-monitoring and patient outcomes. However, no study has tested the use of a smartphone to facilitate self-monitoring in overweight or obese adults with type 2 diabetes mellitus living in the underserved community. The aim of this study was to examine the feasibility of and compare preliminary efficacy of a behavioral lifestyle intervention using smartphone- or paper-based self-monitoring of multiple behaviors on weight loss and glycemic control in a sample of overweight or obese adults with type 2 diabetes mellitus living in underserved communities. We conducted a randomized controlled trial to examine the feasibility and preliminary efficacy of a behavioral lifestyle intervention. Overweight or obese patients with type 2 diabetes mellitus were recruited from an underserved minority community health center in Houston, Texas. They were randomly assigned to one of the three groups: (1) behavior intervention with smartphone-based self-monitoring, (2) behavior intervention with paper diary-based self-monitoring, and (3) usual care group. Both the mobile and paper groups received a total of 11 face-to-face group sessions in a 6-month intervention. The mobile group received an Android-based smartphone with 2 apps loaded to help them record their diet, physical activity, weight, and blood glucose, along with a connected glucometer, whereas the paper group used paper diaries for these recordings. Primary outcomes of the study included percentage weight loss and glycated hemoglobin (HbA 1c ) changes over 6 months. A total of 26 patients were enrolled: 11 in the mobile group, 9 in the paper group, and 6 in the control group. We had 92% (24/26) retention rate at 6 months. The sample is predominantly African Americans with an average age of 56.4 years and body mass index of 38.1. Participants lost an average of 2.73% (mobile group) and 0.13% (paper group) weight at 6 months, whereas the control group had an average 0.49% weight gain. Their HbA 1c changed from 8% to 7 % in mobile group, 10% to 9% in paper group, and maintained at 9% for the control group. We found a significant difference on HbA 1c at 6 months among the 3 groups (P=.01). We did not find statistical group significance on percentage weight loss (P=.20) and HbA 1c changes (P=.44) overtime; however, we found a large effect size of 0.40 for weight loss and a medium effect size of 0.28 for glycemic control. Delivering a simplified behavioral lifestyle intervention using mobile health-based self-monitoring in an underserved community is feasible and acceptable and shows higher preliminary efficacy, as compared with paper-based self-monitoring. A full-scale randomized controlled trial is needed to confirm the findings in this pilot study. ClinicalTrials.gov NCT02858648; https://clinicaltrials.gov/ct2/show/NCT02858648 (Archived by WebCite at http://www.webcitation.org/6ySidjmT7). ©Jing Wang, Chunyan Cai, Nikhil Padhye, Philip Orlander, Mohammad Zare. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 10.04.2018.

A Behavioral Lifestyle Intervention Enhanced With Multiple-Behavior Self-Monitoring Using Mobile and Connected Tools for Underserved Individuals With Type 2 Diabetes and Comorbid Overweight or Obesity: Pilot Comparative Effectiveness Trial

PubMed Central

Cai, Chunyan; Padhye, Nikhil; Orlander, Philip; Zare, Mohammad

2018-01-01

Background Self-monitoring is a cornerstone of behavioral lifestyle interventions for obesity and type 2 diabetes mellitus. Mobile technology has the potential to improve adherence to self-monitoring and patient outcomes. However, no study has tested the use of a smartphone to facilitate self-monitoring in overweight or obese adults with type 2 diabetes mellitus living in the underserved community. Objective The aim of this study was to examine the feasibility of and compare preliminary efficacy of a behavioral lifestyle intervention using smartphone- or paper-based self-monitoring of multiple behaviors on weight loss and glycemic control in a sample of overweight or obese adults with type 2 diabetes mellitus living in underserved communities. Methods We conducted a randomized controlled trial to examine the feasibility and preliminary efficacy of a behavioral lifestyle intervention. Overweight or obese patients with type 2 diabetes mellitus were recruited from an underserved minority community health center in Houston, Texas. They were randomly assigned to one of the three groups: (1) behavior intervention with smartphone-based self-monitoring, (2) behavior intervention with paper diary-based self-monitoring, and (3) usual care group. Both the mobile and paper groups received a total of 11 face-to-face group sessions in a 6-month intervention. The mobile group received an Android-based smartphone with 2 apps loaded to help them record their diet, physical activity, weight, and blood glucose, along with a connected glucometer, whereas the paper group used paper diaries for these recordings. Primary outcomes of the study included percentage weight loss and glycated hemoglobin (HbA1c) changes over 6 months. Results A total of 26 patients were enrolled: 11 in the mobile group, 9 in the paper group, and 6 in the control group. We had 92% (24/26) retention rate at 6 months. The sample is predominantly African Americans with an average age of 56.4 years and body mass index of 38.1. Participants lost an average of 2.73% (mobile group) and 0.13% (paper group) weight at 6 months, whereas the control group had an average 0.49% weight gain. Their HbA1c changed from 8% to 7 % in mobile group, 10% to 9% in paper group, and maintained at 9% for the control group. We found a significant difference on HbA1c at 6 months among the 3 groups (P=.01). We did not find statistical group significance on percentage weight loss (P=.20) and HbA1c changes (P=.44) overtime; however, we found a large effect size of 0.40 for weight loss and a medium effect size of 0.28 for glycemic control. Conclusions Delivering a simplified behavioral lifestyle intervention using mobile health–based self-monitoring in an underserved community is feasible and acceptable and shows higher preliminary efficacy, as compared with paper-based self-monitoring. A full-scale randomized controlled trial is needed to confirm the findings in this pilot study. Trial Registration ClinicalTrials.gov NCT02858648; https://clinicaltrials.gov/ct2/show/NCT02858648 (Archived by WebCite at http://www.webcitation.org/6ySidjmT7) PMID:29636320

Android: Call C Functions with the Native Development Kit (NDK)

DTIC Science & Technology

2016-09-01

guide is intended to assist programmers with how to attach an NDK plugin to an Android Integrated Development Environment and how to call C functions...written in Java to interact with native C/C++. This guide is intended to take programmers through adding an NDK package into an Android Studio

Design Report for Isolated RS-485 Bus Node

DTIC Science & Technology

2016-07-01

controlled wired RS-485 network. The Android-based smartphone or tablet is used in conjunction with a USB to serial bridge to operate as the bus master in...Android-based smartphone or tablet is used in conjunction with a USB to serial bridge to operate as the bus master in the system. The Android device

Developing a Value of Information (VoI) Enabled System from Collection to Analysis

DTIC Science & Technology

2016-11-01

Information, Android, smartphone , information dissemination, visual analytic 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF...List of Figures Fig. 1 Spot report main screen .........................................................................2 Fig. 2 Smartphone app...included the creation of 2 Android smartphone applications (apps) and the enhancement of an existing tool (Contour). Prior work with Android

Development of Android Based Powered Intelligent Wheelchair for Quadriplegic Persons

NASA Astrophysics Data System (ADS)

Gupta, Ashutosh; Ghosh, Tathagata; Kumar, Pradeep; Bhawna, Shruthi. S.

2017-08-01

Several surveys give us the view that both children and adults benefit substantially from access towards independent mobility. With the inventions of technology, no individuals are satisfied with traditional manual operated machines. To accommodate population, researchers are using technology, originally developed for mobile robots to create ‘intelligent wheelchairs’. It’s a major challenge for quadriplegic persons as they really find it difficult to manipulate powered wheelchair during the activities of their daily living. As the Smartphone era has evolved with innovative android based applications, engineers are improving and trying to make such machines simple and cheap to the next level. In this paper, we present a development of android based powered intelligent wheelchair to assist the quadriplegic person by making them self sufficient in controlling the wheelchair. The wheels of the chair can be controlled by the voice or gesture movement or by touching the screen of the android app by the challenged persons. The system uses the Bluetooth communication to interface the microcontroller and the inbuilt sensors in the android Smartphone. According to the commands received from android phone, the kinematics of the wheels are controlled.

Forensic Taxonomy of Android Social Apps.

PubMed

Azfar, Abdullah; Choo, Kim-Kwang Raymond; Liu, Lin

2017-03-01

An Android social app taxonomy incorporating artifacts that are of forensic interest will enable users and forensic investigators to identify the personally identifiable information (PII) stored by the apps. In this study, 30 popular Android social apps were examined. Artifacts of forensic interest (e.g., contacts lists, chronology of messages, and timestamp of an added contact) were recovered. In addition, images were located, and Facebook token strings used to tie account identities and gain access to information entered into Facebook by a user were identified. Based on the findings, a two-dimensional taxonomy of the forensic artifacts of the social apps is proposed. A comparative summary of existing forensic taxonomies of different categories of Android apps, designed to facilitate timely collection and analysis of evidentiary materials from Android devices, is presented. © 2016 American Academy of Forensic Sciences.

Eyeblink Synchrony in Multimodal Human-Android Interaction

PubMed Central

Tatsukawa, Kyohei; Nakano, Tamami; Ishiguro, Hiroshi; Yoshikawa, Yuichiro

2016-01-01

As the result of recent progress in technology of communication robot, robots are becoming an important social partner for humans. Behavioral synchrony is understood as an important factor in establishing good human-robot relationships. In this study, we hypothesized that biasing a human’s attitude toward a robot changes the degree of synchrony between human and robot. We first examined whether eyeblinks were synchronized between a human and an android in face-to-face interaction and found that human listeners’ eyeblinks were entrained to android speakers’ eyeblinks. This eyeblink synchrony disappeared when the android speaker spoke while looking away from the human listeners but was enhanced when the human participants listened to the speaking android while touching the android’s hand. These results suggest that eyeblink synchrony reflects a qualitative state in human-robot interactions. PMID:28009014

Improving Function Allocation for Integrated Systems Design

DTIC Science & Technology

1996-06-01

in the movie Star Trek—The Next Generation, the android DATA is both perceived and treated as a member of the crew. That type of perceptual change...time-consuming, formal contract change. LABORATORY VIEW OF FUNCTION ALLOCATION In 1951, Paul M. Fitts, the founder of the Human Engineering Divi

Exploring factors related to changes in body composition, insulin sensitivity and aerobic capacity in response to a 12-week exercise intervention in overweight and obese women with and without polycystic ovary syndrome

PubMed Central

Harrison, Cheryce L.; Hutchison, Samantha; de Courten, Barbora; Stepto, Nigel K.

2017-01-01

Objective To determine factors associated with differential changes in body fat, insulin resistance and aerobic capacity following a 12-week exercise intervention in overweight and obese women with and without polycystic ovary syndrome (PCOS). Methods 16 overweight and obese women (9 PCOS; 7 without PCOS) completed a supervised progressive 12-week exercise program. Primary outcomes included changes in indicators of insulin sensitivity (including glucose infusion rate relative to fat-free mass [GIR/FFM]), body composition, and aerobic capacity (VO2 peak; 12 participants only). Comparisons were made between women with and without PCOS, and between participants who lost ≥5% (classified as exercise responders) and <5% (non-responders) in body fat (assessed by dual-energy X-ray absorptiometry). Results Training decreased body fat percentage by (mean; 95% CI) -2.3%; -5.3, 0.7% in women with PCOS and by -6.4%; -10.9, -1.9% in women without PCOS (P = 0.08). Ten women (7 PCOS; 3 without PCOS) did not reduce body fat by ≥5%. All participants improved VO2 peak (mean change 27%; 16–39%) but four (2 PCOS; 2 without PCOS) demonstrated decreases in GIR/FFM (mean change for whole cohort: 37%; 3–71%). Android-gynoid fat ratio (0.58; 0.51, 0.66 vs 0.46; 0.40, 0.51; P<0.01) was significantly higher and GIR/FFM (6.69; 3.49, 9.90 vs 11.44; 9.15, 13.72 mg/kg/min; P = 0.01) was significantly lower in non-responders compared with responders at baseline, but non-responders had significant post-training decreases in android-gynoid ratio (-0.02; -0.04, -0.01; P = 0.03), and increases in VO2 peak (7.24; 2.28, 12.21 mL/kg/min; P = 0.01) and GIR/FFM (1.44; 0.27, 2.61 mg/kg/min; P = 0.02). In women with PCOS, pre-training VO2 peak was significantly negatively correlated with change in total body fat (r = -0.75; P = 0.02), and pre-training fasting glucose negatively correlated with changes in VO2 peak (r = -0.76; P = 0.04), but positively correlated with changes in GIR (r = 0.67; P = 0.046). Conclusion A high proportion of overweight and obese women with PCOS had small reductions in body fat following a 12-week exercise intervention, but nevertheless significantly reduced relative central adiposity and improved aerobic capacity and insulin sensitivity. PMID:28771628

Android Smartphone Relevance to Military Weather Applications

DTIC Science & Technology

2011-10-01

lithium -ion battery that may be replaced by the user (unlike Apple iPod Touch devices), thus spare batteries can be carried. If there is only sporadic...Android Smartphone Relevance to Military Weather Applications by David Sauter ARL-TR-5793 October 2011...Android Smartphone Relevance to Military Weather Applications David Sauter Computational and Information Sciences Directorate, ARL

Development and Analysis of Security Policies in Security Enhanced Android

DTIC Science & Technology

2012-12-01

Privilege - Escalation Attacks on Android ,” Proc. 19th Annual...Services, Bethesda, MD, 2011, pp. 239–252. 98 [43] L. Davi, et al. “ Privilege Escalation Attacks on Android ,” Proc. 13th Int. Conf. on Information...TaintDroid. XManDroid dynamically analyzes applications’ transitive permission usage in order to prevent application-level privilege escalation attacks

76 FR 75910 - Certain Electronic Imaging Devices; Commission Determination To Affirm Finding of No Violation...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-05

... Section 337 by HTC. Specifically, the ALJ found that the accused HTC Android smartphones and the accused... the accused HTC Android smartphones, (2) infringement of the asserted claims of the '769 patent by the... with respect to the '769 patent on the bases that (1) the accused HTC Android smartphones and the...

The Implementation of Blended Learning Using Android-Based Tutorial Video in Computer Programming Course II

NASA Astrophysics Data System (ADS)

Huda, C.; Hudha, M. N.; Ain, N.; Nandiyanto, A. B. D.; Abdullah, A. G.; Widiaty, I.

2018-01-01

Computer programming course is theoretical. Sufficient practice is necessary to facilitate conceptual understanding and encouraging creativity in designing computer programs/animation. The development of tutorial video in an Android-based blended learning is needed for students’ guide. Using Android-based instructional material, students can independently learn anywhere and anytime. The tutorial video can facilitate students’ understanding about concepts, materials, and procedures of programming/animation making in detail. This study employed a Research and Development method adapting Thiagarajan’s 4D model. The developed Android-based instructional material and tutorial video were validated by experts in instructional media and experts in physics education. The expert validation results showed that the Android-based material was comprehensive and very feasible. The tutorial video was deemed feasible as it received average score of 92.9%. It was also revealed that students’ conceptual understanding, skills, and creativity in designing computer program/animation improved significantly.

Usability of Low-Cost Android Data Collection System for Community-Based Participatory Research.

PubMed

Salihu, Hamisu M; Salinas-Miranda, Abraham; Turner, DeAnne; King, Lindsey; Paothong, Arnut; Austin, Deborah; Berry, Estrellita Lo

2016-01-01

Android tablet computers can be valuable tools for data collection, but their usability has not been evaluated in community-based participatory research (CBPR). This article examines the usability of a low-cost bilingual touchscreen computerized survey system using Android tablets, piloted with a sample of 201 community residents in Tampa, Florida, from November 2013 to March 2014. Needs assessment questions were designed with the droidSURVEY software, and deployed using Android tablet computers. In addition, participants were asked questions about system usability. The mean system usability was 77.57 ± 17.66 (range, 0-100). The mean completion time for taking the 63 survey questions in the needs assessment was 23.11 ± 9.62 minutes. The survey completion rate was optimal (100%), with only 6.34% missingness per variable. We found no sociodemographic differences in usability scores. Our findings indicate that Android tablets could serve as useful tools in CBPR studies.

Design of multi-language trading system of ethnic characteristic agricultural products based on android

NASA Astrophysics Data System (ADS)

Huanqin, Wu; Yasheng, Jin; Yugang, Dai

2017-06-01

Under the current situation where Internet technology develops rapidly, mobile E-commerce technology has brought great convenience to our life. Now, the graphical user interface (GUI) of most E-commerce platforms only supports Chinese. Thus, the development of Android client of E-commerce that supports ethnic languages owns a great prospect. The principle that combines front end design and database technology is adopted in this paper to construct the Android client system of E-commerce platforms that supports ethnic languages, which realizes the displaying, browsing, querying, searching, trading and other functions of ethnic characteristic agricultural products on android platforms.

Calibrating accelerometer sensor on android phone with Accelerograph TDL 303 QS for earthquake online recorder

NASA Astrophysics Data System (ADS)

Riantana, R.; Darsono, D.; Triyono, A.; Azimut, H. B.

2016-11-01

Calibration of the android censor was done by placing the device in a mounting at side of accelerograph TDL 303 QS that will be a means of comparison. Leveling of both devices was set same, so that the state of the device can be assumed same anyway. Then applied vibrations in order to have the maximum amplitude value of both censor, so it can be found equality of the coefficient of proportionality both of them. The results on both devices obtain the Peak Ground Acceleration (PGA) as follows, on the x axis (EW) android censor is obtained PGA -2.4478145 gal than at TDL 303 QS obtained PGA -2.5504 gal, the y-axis (NS) on the censor android obtained PGA 3.0066964 gal than at TDL 303 QS obtained PGA 3.2073 gal, the z-axis (UD) on the android censor obtained PGA -14.0702377 gal than at TDL 303 QS obtained PGA -13.2927 gal, A correction value for android accelerometer censor is ± 0.1 gal for the x-axis (EW), ± 0.2 gal for the y-axis (NS), and ± 0.7 gal for the z-axis (UD).

Android Adiposity and Lack of Moderate and Vigorous Physical Activity Are Associated With Insulin Resistance and Diabetes in Aging Adults.

PubMed

Peterson, Mark D; Al Snih, Soham; Serra-Rexach, José A; Burant, Charles

2015-08-01

Physical inactivity and excess adiposity are thought to be interdependent "lifestyle" factors and thus, many older adults are at exaggerated risk for preventable diseases. The purposes of this study were to determine the degree of discordance between body mass index (BMI) and adiposity among adults older than 50 years, and to determine the extent to which direct measures of adiposity, and objectively measured sedentary behavior (SB) and physical activity (PA) are associated with insulin resistance (IR) or diabetes. A population representative sample of 2,816 individuals, aged 50-85 years, was included from the combined 2003-2006 National Health and Nutrition Examination Survey (NHANES) datasets. BMI, percent body fat (%BF) and android adiposity as determined by dual energy x-ray absorptiometry, objectively measured SB and PA, established markers of cardiometabolic risk, IR, and type 2 diabetes were analyzed. Approximately 50% of the men and 64% of the women who were normal weight according to BMI had excessive %BF. Adults with the least SB and greatest moderate and vigorous PA exhibited the healthiest cardiometabolic profiles, whereas adults with the greatest SB and lowest activity had highest risk. Greater android adiposity stores were robustly associated with IR or diabetes in all adults, independent of SB and activity. Among men, less moderate-to-vigorous PA was associated with IR or diabetes; whereas among women, less lifestyle moderate activity was associated with IR or diabetes. Android adiposity and low moderate and vigorous PA are the strongest predictors of IR or diabetes among aging adults. © The Author 2015. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Low-Cost Alternative for Signal Generators in the Physics Laboratory

NASA Astrophysics Data System (ADS)

Pathare, Shirish Rajan; Raghavendra, M. K.; Huli, Saurabhee

2017-05-01

Recently devices such as the optical mouse of a computer, webcams, Wii remote, and digital cameras have been used to record and analyze different physical phenomena quantitatively. Devices like tablets and smartphones are also becoming popular. Different scientific applications available at Google Play (Android devices) or the App Store (iOS devices) make them versatile. One can find many websites that provide information regarding various scientific applications compatible with these systems. A variety of smartphones/tablets are available with different types of sensors embedded. Some of them have sensors that are capable of measuring intensity of light, sound, and magnetic field. The camera of these devices has been used to study projectile motion, and the same device, along with a sensor, has been used to study the physical pendulum. Accelerometers have been used to study free and damped harmonic oscillations and to measure acceleration due to gravity. Using accelerometers and gyroscopes, angular velocity and centripetal acceleration have been measured. The coefficient of restitution for a ball bouncing on the floor has been measured using the application Oscilloscope on the iPhone. In this article, we present the use of an Android device as a low-cost alternative for a signal generator. We use the Signal Generator application installed on the Android device along with an amplifier circuit.

Sharing Vital Signs between mobile phone applications.

PubMed

Karlen, Walter; Dumont, Guy A; Scheffer, Cornie

2014-01-01

We propose a communication library, ShareVitalSigns, for the standardized exchange of vital sign information between health applications running on mobile platforms. The library allows an application to request one or multiple vital signs from independent measurement applications on the Android OS. Compatible measurement applications are automatically detected and can be launched from within the requesting application, simplifying the work flow for the user and reducing typing errors. Data is shared between applications using intents, a passive data structure available on Android OS. The library is accompanied by a test application which serves as a demonstrator. The secure exchange of vital sign information using a standardized library like ShareVitalSigns will facilitate the integration of measurement applications into diagnostic and other high level health monitoring applications and reduce errors due to manual entry of information.

Android Video Streaming

DTIC Science & Technology

2014-05-01

natural choice. In this document, we describe several aspects of video streaming and the challenges of performing video streaming between Android-based...client application was needed. Typically something like VideoLAN Client ( VLC ) is used for this purpose in a desktop environment. However, while VLC is...a very mature application on Windows and Linux, VLC for Android is still in a beta testing phase, and versions have only been developed to work

The Association of Serum Total Peptide YY (PYY) with Obesity and Body Fat Measures in the CODING Study.

PubMed

Cahill, Farrell; Ji, Yunqi; Wadden, Danny; Amini, Peyvand; Randell, Edward; Vasdev, Sudesh; Gulliver, Wayne; Sun, Guang

2014-01-01

PYY is an appetite suppressing hormone. Low circulating PYY has been linked to greater BMI. However data is controversial and this association has not been verified in large human populations. The purpose of this study was to investigate if fasting serum total PYY is associated with obesity status and/or adiposity at the population level. A total of 2094 subjects (Male-523, Female-1571) participated in this investigation. Total PYY was measured in fasting serum by enzyme-linked immunosorbent assay. Obesity status (NW-normal-weight, OW-overweight and OB-obese) was determined by the Bray Criteria according to body fat percentage measured by dual-energy x-ray absorptiometry and the WHO criteria according to BMI. One-way ANOVA and multiple regression was used to assess the adiposity-specific association between PYY and the following; weight, BMI, waist-circumference, hip-circumference, waist-hip ratio, percent body fat (%BF), trunk fat (%TF), android fat (%AF) and gynoid fat (%GF). PYY was not significantly different among NW, OW and OB groups defined by neither %BF nor BMI for both men and women. However among women, fasting PYY was positively associated with adiposity measures. Women with the highest (Top 33%) waist-circumference, %BF and %TF had significantly higher PYY (10.5%, 8.3% and 9.2% respectively) than women with the lowest (Bottom 33%). Age, smoking, medication use and menopause were all positively associated with PYY levels in women but not in men. To our knowledge this is the largest population based study, with the most comprehensive analysis and measures of confounding factors, to explore the relationship of circulating PYY with obesity. Contrary to initial findings in the literature we discovered that PYY was positively associated with body fat measures (waist-circumference, %BF and %TF) in women. Although the effect size of the positive association of PYY with obesity in women is small, and potentially negligible, it may in fact represent a protective response against significant weight gain.

Android Robot-Mediated Mock Job Interview Sessions for Young Adults with Autism Spectrum Disorder: A Pilot Study

PubMed Central

Kumazaki, Hirokazu; Warren, Zachary; Corbett, Blythe A.; Yoshikawa, Yuichiro; Matsumoto, Yoshio; Higashida, Haruhiro; Yuhi, Teruko; Ikeda, Takashi; Ishiguro, Hiroshi; Kikuchi, Mitsuru

2017-01-01

The feasibility and preliminary efficacy of an android robot-mediated mock job interview training in terms of both bolstering self-confidence and reducing biological levels of stress in comparison to a psycho-educational approach human interview was assessed in a randomized study. Young adults (ages 18–25 years) with autism spectrum disorder (ASD) were randomized to participate either in a mock job interview training with our android robot system (n = 7) or a self-paced review of materials about job-interviewing skills (n = 8). Baseline and outcome measurements of self-reported performance/efficacy and salivary cortisol were obtained after a mock job interview with a human interviewer. After training sessions, individuals with ASD participating in the android robot-mediated sessions reported marginally improved self-confidence and demonstrated significantly lower levels of salivary cortisol as compared to the control condition. These results provide preliminary support for the feasibility and efficacy of android robot-mediated learning. PMID:28955254

Android Robot-Mediated Mock Job Interview Sessions for Young Adults with Autism Spectrum Disorder: A Pilot Study.

PubMed

Kumazaki, Hirokazu; Warren, Zachary; Corbett, Blythe A; Yoshikawa, Yuichiro; Matsumoto, Yoshio; Higashida, Haruhiro; Yuhi, Teruko; Ikeda, Takashi; Ishiguro, Hiroshi; Kikuchi, Mitsuru

2017-01-01

The feasibility and preliminary efficacy of an android robot-mediated mock job interview training in terms of both bolstering self-confidence and reducing biological levels of stress in comparison to a psycho-educational approach human interview was assessed in a randomized study. Young adults (ages 18-25 years) with autism spectrum disorder (ASD) were randomized to participate either in a mock job interview training with our android robot system ( n  = 7) or a self-paced review of materials about job-interviewing skills ( n  = 8). Baseline and outcome measurements of self-reported performance/efficacy and salivary cortisol were obtained after a mock job interview with a human interviewer. After training sessions, individuals with ASD participating in the android robot-mediated sessions reported marginally improved self-confidence and demonstrated significantly lower levels of salivary cortisol as compared to the control condition. These results provide preliminary support for the feasibility and efficacy of android robot-mediated learning.

Cold Environment Assessment Tool (CEAT) User’s Guide for Apple Mobile Devices

DTIC Science & Technology

2015-06-01

discussion of mobile Android device relevance to the military see, “Android Smartphone Relevance to Military Weather Applications”.5 2. CEAT Inputs To...eating, resting, sleeping , clerical work • Low: Walking, marching without rucksack, drill and ceremony • High: Digging foxhole, running, marching...2013. 5. Sauter, D. Android smartphone relevance to military weather applications. White Sands Missile Range (NM): Army Research Laboratory (US

Developing a java android application of KMV-Merton default rate model

NASA Astrophysics Data System (ADS)

Yusof, Norliza Muhamad; Anuar, Aini Hayati; Isa, Norsyaheeda Natasha; Zulkafli, Sharifah Nursyuhada Syed; Sapini, Muhamad Luqman

2017-11-01

This paper presents a developed java android application for KMV-Merton model in predicting the defaut rate of a firm. Predicting default rate is essential in the risk management area as default risk can be immediately transmitted from one entity to another entity. This is the reason default risk is known as a global risk. Although there are several efforts, instruments and methods used to manage the risk, it is said to be insufficient. To the best of our knowledge, there has been limited innovation in developing the default risk mathematical model into a mobile application. Therefore, through this study, default risk is predicted quantitatively using the KMV-Merton model. The KMV-Merton model has been integrated in the form of java program using the Android Studio Software. The developed java android application is tested by predicting the levels of default risk of the three different rated companies. It is found that the levels of default risk are equivalent to the ratings of the respective companies. This shows that the default rate predicted by the KMV-Merton model using the developed java android application can be a significant tool to the risk mangement field. The developed java android application grants users an alternative to predict level of default risk within less procedure.

Light weight portable operator control unit using an Android-enabled mobile phone

NASA Astrophysics Data System (ADS)

Fung, Nicholas

2011-05-01

There have been large gains in the field of robotics, both in hardware sophistication and technical capabilities. However, as more capable robots have been developed and introduced to battlefield environments, the problem of interfacing with human controllers has proven to be challenging. Particularly in the field of military applications, controller requirements can be stringent and can range from size and power consumption, to durability and cost. Traditional operator control units (OCUs) tend to resemble laptop personal computers (PCs), as these devices are mobile and have ample computing power. However, laptop PCs are bulky and have greater power requirements. To approach this problem, a light weight, inexpensive controller was created based on a mobile phone running the Android operating system. It was designed to control an iRobot Packbot through the Army Research Laboratory (ARL) in-house Agile Computing Infrastructure (ACI). The hardware capabilities of the mobile phone, such as Wi- Fi communications, touch screen interface, and the flexibility of the Android operating system, made it a compelling platform. The Android based OCU offers a more portable package and can be easily carried by a soldier along with normal gear requirements. In addition, the one hand operation of the Android OCU allows for the Soldier to keep an unoccupied hand for greater flexibility. To validate the Android OCU as a capable controller, experimental data was collected evaluating use of the controller and a traditional, tablet PC based OCU. Initial analysis suggests that the Android OCU performed positively in qualitative data collected from participants.

Android Fat Depot Is More Closely Associated with Metabolic Syndrome than Abdominal Visceral Fat in Elderly People

PubMed Central

Kang, Seon Mee; Yoon, Ji Won; Ahn, Hwa Young; Kim, So Yeon; Lee, Kyoung Ho; Shin, Hayley; Choi, Sung Hee; Park, Kyong Soo; Jang, Hak Chul; Lim, Soo

2011-01-01

Background Fat accumulation in android compartments may confer increased metabolic risk. The incremental utility of measuring regional fat deposition in association with metabolic syndrome (MS) has not been well described particularly in an elderly population. Methods and Findings As part of the Korean Longitudinal Study on Health and Aging, which is a community-based cohort study of people aged more than 65 years, subjects (287 male, 75.9±8.6 years and 278 female, 76.0±8.8 years) with regional body composition data using Dual energy X-ray absorptiometry for android/gynoid area, computed tomography for visceral/subcutaneous adipose tissue (VAT/SAT), and cardiometabolic markers including adiponectin and high-sensitivity CRP were enrolled. We investigated the relationship between regional body composition and MS in multivariate regression models. Mean VAT and SAT area was 131.4±65.5 cm2 and 126.9±55.2 cm2 in men (P = 0.045) and 120.0±46.7 cm2 and 211.8±65.9 cm2 in women (P<0.01). Mean android and gynoid fat amount was 1.8±0.8 kg and 2.5±0.8 kg in men and 2.0±0.6 kg and 3.3±0.8 kg in women, respectively (both P<0.01). VAT area and android fat amount was strongly correlated with most metabolic risk factors compared to SAT or gynoid fat. Furthermore, android fat amount was significantly associated with clustering of MS components after adjustment for multiple parameters including age, gender, adiponectin, hsCRP, a surrogate marker of insulin resistance, whole body fat mass and VAT area. Conclusions Our findings are consistent with the hypothesized role of android fat as a pathogenic fat depot in the MS. Measurement of android fat may provide a more complete understanding of metabolic risk associated with variations in fat distribution. PMID:22096613

Android fat depot is more closely associated with metabolic syndrome than abdominal visceral fat in elderly people.

PubMed

Kang, Seon Mee; Yoon, Ji Won; Ahn, Hwa Young; Kim, So Yeon; Lee, Kyoung Ho; Shin, Hayley; Choi, Sung Hee; Park, Kyong Soo; Jang, Hak Chul; Lim, Soo

2011-01-01

Fat accumulation in android compartments may confer increased metabolic risk. The incremental utility of measuring regional fat deposition in association with metabolic syndrome (MS) has not been well described particularly in an elderly population. As part of the Korean Longitudinal Study on Health and Aging, which is a community-based cohort study of people aged more than 65 years, subjects (287 male, 75.9±8.6 years and 278 female, 76.0±8.8 years) with regional body composition data using Dual energy X-ray absorptiometry for android/gynoid area, computed tomography for visceral/subcutaneous adipose tissue (VAT/SAT), and cardiometabolic markers including adiponectin and high-sensitivity CRP were enrolled. We investigated the relationship between regional body composition and MS in multivariate regression models. Mean VAT and SAT area was 131.4±65.5 cm(2) and 126.9±55.2 cm(2) in men (P = 0.045) and 120.0±46.7 cm(2) and 211.8±65.9 cm(2) in women (P<0.01). Mean android and gynoid fat amount was 1.8±0.8 kg and 2.5±0.8 kg in men and 2.0±0.6 kg and 3.3±0.8 kg in women, respectively (both P<0.01). VAT area and android fat amount was strongly correlated with most metabolic risk factors compared to SAT or gynoid fat. Furthermore, android fat amount was significantly associated with clustering of MS components after adjustment for multiple parameters including age, gender, adiponectin, hsCRP, a surrogate marker of insulin resistance, whole body fat mass and VAT area. Our findings are consistent with the hypothesized role of android fat as a pathogenic fat depot in the MS. Measurement of android fat may provide a more complete understanding of metabolic risk associated with variations in fat distribution.

Message Prioritization for Routing in a DTN Environment

DTIC Science & Technology

2011-03-01

goal was to effectively connect a remote village with a connected area, in this case a city, by using android phones given to people who regularly... Android phone or iPhone would involve developing or recoding the entire system in a language that is compatible with the phones. While certainly a...due to the fact it currently runs on an Android platform as an application. This showed promise initially; however, we discovered that the actual

Longitudinal relationships between whole body and central adiposity on weight-bearing bone geometry, density, and bone strength: a pQCT study in young girls

PubMed Central

Farr, Joshua N.; Laudermilk, Monica J.; Lee, Vinson R.; Blew, Robert M.; Stump, Craig; Houtkooper, Linda; Lohman, Timothy G.; Going, Scott B.

2015-01-01

Summary Longitudinal relationships between adiposity (total body and central) and bone development were assessed in young girls. Total body and android fat masses were positively associated with bone strength and density parameters of the femur and tibia. These results suggest adiposity may have site-specific stimulating effects on the developing bone. Introduction Childhood obesity may impair bone development, but the relationships between adiposity and bone remain unclear. Failure to account for fat pattern may explain the conflicting results. Purpose Longitudinal associations of total body fat mass (TBFM) and android fat mass (AFM) with 2-year changes in weight-bearing bone parameters were examined in 260 girls aged 8–13 years at baseline. Peripheral quantitative computed tomography was used to measure bone strength index (BSI, square milligrams per quartic millimeter), strength–strain index (SSI, cubic millimeters), and volumetric bone mineral density (vBMD, milligrams per cubic centimeter) at distal metaphyseal and diaphyseal regions of the femur and tibia. TBFM and AFM were assessed by dual-energy x-ray absorptiometry. Results Baseline TBFM and AFM were positively associated with the change in femur BSI (r =0.20, r =0.17, respectively) and femur trabecular vBMD (r =0.19, r =0.19, respectively). Similarly, positive associations were found between TBFM and change in tibia BSI and SSI (r =0.16, r =0.15, respectively), and femur total and trabecular vBMD (r =0.12, r =0.14, respectively). Analysis of covariance showed that girls in the middle thirds of AFM had significantly lower femur trabecular vBMD and significantly higher tibia cortical vBMD than girls in the highest thirds of AFM. All results were significant at p <0.05. Conclusions Whereas baseline levels of TBFM and AFM are positive predictors of bone strength and density at the femur and tibia, higher levels of AFM above a certain level may impair cortical vBMD growth at weight-bearing sites. Future studies in obese children will be needed to test this possibility. NIH/NICHD #HD-050775. PMID:24113839

Empowering Personalized Learning with an Interactive E-Book Learning System for Elementary School Students

ERIC Educational Resources Information Center

Huang, Yueh-Min; Liang, Tsung-Ho; Su, Yen-Ning; Chen, Nian-Shing

2012-01-01

Today various types of tablet computers are used, including iPad and Android Tablets. These individual portable digital devices can be used as e-book readers to support mobile personalized learning. Though many studies have investigated e-books by targeting undergraduate students, yet less attention has been paid to children. Therefore, an…

CONSTRUCTION AND VALIDATION OF LOW COST LAPAROSCOPIC SIMULATOR USING ANDROID SMARTPHONE AND POP CAST AND A LAPTOP.

PubMed

Vyas, A; Goel, G

2017-09-01

Minimal invasive surgery training requires a lot of practice and for this purpose innovative tools are needed to develop methods for practice and training skills outside the operating room. Commercially available devices are readily available but cost effectiveness and availability are major limiting factors in resource limited setting. We present an innovative and cost effective laparoscopic simulator which can be easily manufactured and used for practice of laparoscopic surgery. Using a free android application, such as IP webcam we can relay video to laptop without the use of any cables and uniquely we use the flash of a camera as the light source and a selfie stick for movement of the camera. Use of this type of setup can help to reduce cost of simulated learning in low income countries and makes laparoscopic training facilities readily available. Copyright© Authors.

Android-Based Daily Routine Organizing Application for Elementary School Students Living with ASD.

PubMed

Barta, Eva A; Guzsvinecz, Tibor; Sik Lanyi, Cecilia; Szucs, Veronika

2017-01-01

Today, more and more children with Autism Spectrum disorder are diagnosed, which means that around 1% of the population is concerned. Most of the concerned can acquire daily routine tasks by a bit of help and can fit in the society. As Besio et al. said, "…play is an instinctive need for both humans….In children with disabilities, depending on the type of functional limitations, the spontaneity of play is lost and the activity becomes problematic. Children with cognitive and intellectual impairments have a difficulties in communication, social interactions,….Since play is also a window for children's cognitive development, children may be perceived as more developmentally delayed than they actually are, leading to reduce expectations on the part of adults." The aim of the authors was to create an Android based application which helps 6-9 year old children living with Autism Spectrum disorder to learn everyday tasks and acquire everyday routine.

Army Communicator. Volume 35, Number 4, Winter 2010

DTIC Science & Technology

2010-12-01

Students and cadre at the Signal Center of Excellence have written and published nearly 30 applications on the Android Market and iTunes Store in just...Android Market or the iTunes Store: http:// www.android.com/market/or www.apple.com/ iTunes . Our aggressive move into application development...family members, this Army would have collapsed like a deck of cards .” I agree. I would also like to thank our Army families for their sacrifice and

Developing and Benchmarking Native Linux Applications on Android

NASA Astrophysics Data System (ADS)

Batyuk, Leonid; Schmidt, Aubrey-Derrick; Schmidt, Hans-Gunther; Camtepe, Ahmet; Albayrak, Sahin

Smartphones get increasingly popular where more and more smartphone platforms emerge. Special attention was gained by the open source platform Android which was presented by the Open Handset Alliance (OHA) hosting members like Google, Motorola, and HTC. Android uses a Linux kernel and a stripped-down userland with a custom Java VM set on top. The resulting system joins the advantages of both environments, while third-parties are intended to develop only Java applications at the moment.

Implementation of Markerless Augmented Reality Technology Based on Android to Introduction Lontara in Marine Society

NASA Astrophysics Data System (ADS)

Jumarlis, Mila; Mirfan, Mirfan

2018-05-01

Local language learning had been leaving by people especially young people had affected technology advances so that involved lack of interest to learn culture especially local language. So required interactive and interest learning media for introduction Lontara. This research aims to design and implement augmented reality on introduction Lontara on mobile device especially android. Application of introduction Lontara based on Android was designed by Vuforia and Unity. Data collection method were observation, interview, and literature review. That data was analysed for being information. The system was designed by Unified Modeling Language (UML). The method used is a marker. The test result found that application of Augmented Reality on introduction Lontara based on Android could improve public interest for introducing local language particularly young people in learning about Lontara because of using technology. Application of introduction of Lontara based on Android used augmented reality occurred sound and how to write Lontara with animation. This application could be running without an internet connection, so that its used more efficient and could maximize from user.

Smartphones for Geological Data Collection- an Android Phone Application

NASA Astrophysics Data System (ADS)

Sun, F.; Weng, Y.; Grigsby, J. D.

2010-12-01

Recently, smartphones have attracted great attention in the wireless device market because of their powerful processors, ample memory capacity, advanced connectivity, and numerous utility programs. Considering the prominent new features a smartphone has, such as the large touch screen, speaker, microphone, camera, GPS receiver, accelerometer, and Internet connections, it can serve as a perfect digital aide for data recording on any geological field trip. We have designed and developed an application by using aforementioned features in an Android phone to provide functionalities used in field studies. For example, employing the accelerometer in the Android phone, the application turns the handset into a brunton-like device by which users can measure directions, strike and dip of a bedding plane or trend and plunge of a fold. Our application also includes functionalities of image taking, GPS coordinates tracking, videotaping, audio recording, and note writing. Data recorded from the application are tied together by the time log, which makes the task easy to track all data regarding a specific geologic object. The application pulls the GPS reading from the phone’s built-in GPS receiver and uses it as a spatial index to link up the other type of data, then maps them to the Google Maps/Earth for visualization. In this way, notes, pictures, audio or video recordings to depict the characteristics of the outcrops and their spatial relations, all can be well documented and organized in one handy gadget.

Evaluating Mobile Device Ownership and Usage in the U.S. Army: Implications for Army Training

DTIC Science & Technology

2014-07-01

any of the following mobile devices? MARK ALL THAT APPLY? iPhone iPad (or other tablet PC) iPhone Touch Android smartphone Blackberry E-Reader (e.g...THAT APPLY? iPhone iPad (or other tablet PC) iPhone Touch Android smartphone Blackberry E-Reader (e.g., Kindle, Nook) None of the above 5...age groups owned more iPhones than Android or Blackberrys . These trends changed as age increased. Upper- middle-aged Soldiers owned a mix of

Creation of graphic database specifying android arm mechanism work envelope taking into account forbidden zones position

NASA Astrophysics Data System (ADS)

Pritykin, F. N.; Nebritov, V. I.

2017-06-01

The structure of graphic database specifying the shape and the work envelope projection position of an android arm mechanism with various positions of the known in advance forbidden zones is proposed. The technique of analytical assignment of the work envelope based on the methods of analytical geometry and theory of sets is represented. The conducted studies can be applied in creation of knowledge bases for intellectual systems of android control functioning independently in the sophisticated environment.

Abdominal fat and insulin resistance in normal and overweight women: Direct measurements reveal a strong relationship in subjects at both low and high risk of NIDDM.

PubMed

Carey, D G; Jenkins, A B; Campbell, L V; Freund, J; Chisholm, D J

1996-05-01

Insulin resistance appears to be central to obesity, NIDDM, hyperlipidemia, and cardiovascular disease. While obese women with abdominal (android) fat distribution are more insulin resistant than those with peripheral (gynecoid) obesity, in nonobese women, the relationship between abdominal fat and insulin resistance is unknown. By measuring regional adiposity with dual-energy X-ray absorptiometry and insulin sensitivity by euglycemic-hyperinsulinemic clamp in 22 healthy women, with a mean +/- SE body BMI of 26.7 +/- 0.9 kg/m2 and differing risk factors for NIDDM, we found a strong negative relationship between central abdominal (intra-abdominal plus abdominal subcutaneous) fat and whole-body insulin sensitivity (r = -0.89, P < 0.0001) and nonoxidative glucose disposal (r = -0.77, P < 0.001), independent of total adiposity, family history of NIDDM, and past gestational diabetes. There was a large variation in insulin sensitivity, with a similar variation in central fat, even in those whose BMI was <25 kg/m2. Abdominal fat had a significantly stronger relationship with insulin sensitivity than peripheral nonabdominal fat (r2 = 0.79 vs. 0.44), and higher levels were associated with increased fasting nonesterified fatty acids, lipid oxidation, and hepatic glucose output. Because 79% of the variance in insulin sensitivity in this heterogeneous population was accounted for by central fat, abdominal adiposity appears to be a strong marker and may be a major determinant of insulin resistance in women.

Influence of previous body mass index and sex on regional fat changes in a weight loss intervention.

PubMed

Benito, Pedro J; Cupeiro, Rocio; Peinado, Ana B; Rojo, Miguel A; Maffulli, Nicola

2017-11-01

Men and women may lose weight in a different fashion. This study compares the changes in different anatomical regions after a well-controlled weight loss program by sex and initial BMI. A total of 180 subjects (48 overweight women, 36 overweight men, and 48 obese women and 48 obese men) were recruited to participate in a 22-week weight loss programme (diet + exercise). Regarding percentage body weight change from baseline, there was no triple interaction (BMI, sex and anatomical region), but there was interaction between BMI and anatomical region (F2,840 = 34.5; p < 0.001), and between sex and anatomical region (F2,840 = 98.8; p < 0.001). Usually, the arms and legs are the regions that lose more weight in obese participants, but men lose the highest percentage of mass from the trunk. There were differences between men and women for the areas of left trunk mass (750g), right trunk mass (700g), total mass of the trunk (1400g), android mass (350g), and finally in the total mass in overweight participants (1300g), with higher values for men than for women. The region that loses more weight and fat is the trunk, followed by the legs, and then the arms, when the loss is observed in function of the total weight or fat lost. Both BMI and sex exert a definite influence fat loss, especially in some anatomical regions.

An Offline-Online Android Application for Hazard Event Mapping Using WebGIS Open Source Technologies

NASA Astrophysics Data System (ADS)

Olyazadeh, Roya; Jaboyedoff, Michel; Sudmeier-Rieux, Karen; Derron, Marc-Henri; Devkota, Sanjaya

2016-04-01

Nowadays, Free and Open Source Software (FOSS) plays an important role in better understanding and managing disaster risk reduction around the world. National and local government, NGOs and other stakeholders are increasingly seeking and producing data on hazards. Most of the hazard event inventories and land use mapping are based on remote sensing data, with little ground truthing, creating difficulties depending on the terrain and accessibility. Open Source WebGIS tools offer an opportunity for quicker and easier ground truthing of critical areas in order to analyse hazard patterns and triggering factors. This study presents a secure mobile-map application for hazard event mapping using Open Source WebGIS technologies such as Postgres database, Postgis, Leaflet, Cordova and Phonegap. The objectives of this prototype are: 1. An Offline-Online android mobile application with advanced Geospatial visualisation; 2. Easy Collection and storage of events information applied services; 3. Centralized data storage with accessibility by all the service (smartphone, standard web browser); 4. Improving data management by using active participation in hazard event mapping and storage. This application has been implemented as a low-cost, rapid and participatory method for recording impacts from hazard events and includes geolocation (GPS data and Internet), visualizing maps with overlay of satellite images, viewing uploaded images and events as cluster points, drawing and adding event information. The data can be recorded in offline (Android device) or online version (all browsers) and consequently uploaded through the server whenever internet is available. All the events and records can be visualized by an administrator and made public after approval. Different user levels can be defined to access the data for communicating the information. This application was tested for landslides in post-earthquake Nepal but can be used for any other type of hazards such as flood, avalanche, etc. Keywords: Offline, Online, WebGIS Open source, Android, Hazard Event Mapping

Foot-to-foot bioelectrical impedance accurately tracks direction of adiposity change in overweight and obese 7- to 13-year-old children.

PubMed

Kasvis, Popi; Cohen, Tamara R; Loiselle, Sarah-Ève; Kim, Nicolas; Hazell, Tom J; Vanstone, Catherine A; Rodd, Celia; Plourde, Hugues; Weiler, Hope A

2015-03-01

Body composition measurements are valuable when evaluating pediatric obesity interventions. We hypothesized that foot-to-foot bioelectrical impedance analysis (BIA) will accurately track the direction of adiposity change, but not magnitude, in part due to differences in fat patterning. The purposes of this study were to examine the accuracy of body composition measurements of overweight and obese children over time using dual-energy x-ray absorptiometry (DXA) and BIA and to determine if BIA accuracy was affected by fat patterning. Eighty-nine overweight or obese children (48 girls, 41 boys, age 7-13 years) participating in a randomized controlled trial providing a family-centered, lifestyle intervention, underwent DXA and BIA measurements every 3 months. Bland-Altman plots showed a poor level of agreement between devices for baseline percent body fat (%BF; mean, 0.398%; +2SD, 8.685%; -2SD, -7.889%). There was overall agreement between DXA and BIA in the direction of change over time for %BF (difference between visits 3 and 1: DXA -0.8 ± 0.5%, BIA -0.7 ± 0.5%; P = 1.000) and fat mass (FM; difference between visits 3 and 1: DXA 0.7 ± 0.5 kg, BIA 0.6 ± 0.5 kg; P = 1.000). Bioelectrical impedance analysis measurements of %BF and FM at baseline were significantly different in those with android and gynoid fat (%BF: 35.9% ± 1.4%, 32.2% ± 1.4%, P < .003; FM: 20.1 ± 0.8 kg, 18.4 ± 0.8, P < .013). Bioelectrical impedance analysis accurately reports the direction of change in FM and FFM in overweight and obese children; inaccuracy in the magnitude of BIA measurements may be a result of fat patterning differences. Copyright © 2015 Elsevier Inc. All rights reserved.

[Association between different types of obesity and cardiovascular risk factors in school-aged children].

PubMed

Liu, Junting; Zhao, Xiaoyuan; Cheng, Hong; Hou, Dongqing; Mi, Jie

2014-01-01

The aim of this paper was to analyze the association between different types of obesity and cardiovascular risk factors (CRFs)in school-aged children. 3508 children aged 6-18 years old including 2 054 non-obese and 1 454 obese children were chosen as the population under study, from Beijing Children and Adolescents Metabolic Syndrome Study. Demographic data was collected through questionnaires while height, weight, waist circumference, and blood pressure were measured through physical check-up. Fasting blood glucose and blood lipids were also tested. Children were divided into four groups:without obesity, with general obesity, with abdominal obesity and with combined obesity. CRFs including dyslipidemia, impaired fasting glucose (IFG), and hypertension were scored. Multiple linear regression and logistic regression analyses were performed to assess the association between different types of obesity and CRFs. From non-obese children, children under general-obesity, abdominal obesity and those with combined types of obesity, there appeared an increasing trend in the levels of blood pressure, blood glucose, and blood lipids, the prevalence dyslipidemia and hypertension (P < 0.001). There were no significant differences in the risks of IFG among four types of obesity. After controlling for age, sex, and puberty stage, when compared with non-obese children, those children with abdominal obesity or combined types of obesity had 1.54 and 2.51 times of risks to only one CRF, while generally obese children had similar risk of dyslipidemia. When compared to the non-obese ones, children with general obesity, abdominal obesity, or combined types of obesity showed 3.32, 2.21 and 7.42 times of risks to ≥ 2 CRFs and 3.10, 3.67 and 10.75 times of risks to ≥ 3 CRFs. The cluster of CRFs increased with the levels of obesity (P < 0.001). Levels and cluster of CRFs were increasing along with the levels of obesity in school-aged children in Beijing. Children with combined types of obesity had the highest risk of clustering CRFs, followed by those with abdominal obesity and general obesity.

Android Based Binus Profile Applications as the Marketing Tools of Bina Nusantara University

NASA Astrophysics Data System (ADS)

Iskandar, Karto

2014-03-01

Smart phones with apps in it is not a new phenomenon. Both of technologies have been fused with the lifestyle today. The ease and speed of access to information makes a lot of companies use it in the process of marketing a product to the public. Objective of this action is to win the competition that more competitive. The purpose of this research is to create mobile application android based to assist in the marketing and introduction Bina Nusantara University profile to prospective students. This research method using software engineering waterfall model to produce Android-based mobile applications. The results in the form of Android-based mobile application that can be used as a viral marketing tool for Bina Nusantara University. At the end of this study can be generated that mobile technology can be used as a media for effective marketing and branding, especially for Bina Nusantara University. Android technology based for marketing applications suited to the Bina Nusantara University applicant segment which are generally young people. The future along with the improvement of network quality and affordable cost, then the application can be made online, so features such as chat, maps, and other can be used optimally.

Designing indonesian teacher engagement index (itei) applications based on android

NASA Astrophysics Data System (ADS)

Manalu, S. R.; Sasmoko; Permai, S. D.; Widhoyoko, S. A.; Indrianti, Y.

2018-03-01

Teachers who have a good level of engagement will be able to produce students who engage and excel. Level of national teachers’ engagement needs to be a reference to the level of educational success and equity of national education. The spread of geographically inaccessible Indonesian teachers is a barrier to these measurements. ITEI Android application developed by analysing the geographical problem, so that each teacher can participate wherever they are. The ITEI app is designed by implementing Android on the client side and load balancer on the server side. Android ITEI will feature a number of questions questionnaire to teachers. Meanwhile, the load balancer will distribute the answers to each server for processing. Load Balancer ensures fast data processing and minimize server failure. The results of the processing on the server will be sent back to Android in the form of profiling themselves ITEI teachers. While the data obtained and stored in the server can be used to measure the level of national teachers’ engagement. The result of this research is the design of ITEI application ready to be implemented in order to support the data collection process of teacher national engagement level.

Creative Digital Worksheet Base on Mobile Learning

NASA Astrophysics Data System (ADS)

Wibawa, S. C.; Cholifah, R.; Utami, A. W.; Nurhidayat, A. I.

2018-01-01

The student is required to understand and act in the classroom and it is very important for selecting the media learning to determine the learning outcome. An instructional media is needed to help students achieve the best learning outcome. The objectives of this study are (1) to make Android-based student worksheet, (2) to know the students’ response on Android-based student worksheet in multimedia subject, (3) to determine the student result using Android-based student worksheet. The method used was Research and Development (R&D) using post-test-only in controlled quasi-experimental group design. The subjects of the study were 2 classes, a control class and an experimental class. The results showed (1) Android-based student worksheet was categorized very good as percentage of 85%; (2) the students’ responses was categorized very good as percentage of 86.42%; (3) the experimental class results were better than control class. The average result on cognitive tests on the experimental class was 89.97 and on control class was 78.31; whether the average result on psychomotor test on the experimental class was 89.90 and on the control class was 79.83. In conclusion, student result using Android-based student worksheet was better than those without it.

The information system of pregnant womans' health nutritious based on android (Case study: Puskesmas Mopah Merauke)

NASA Astrophysics Data System (ADS)

Letsoin, Sri Murniani Angelina; Kolyaan, Yuliana; Cahyadi, Dedy

2017-02-01

The cause of maternal mortality can be divided into two, the direct cause and indirect cause. One of the indirect causes is too difficult to reach health services and the lack of pregnancy knowledge. On the other hand, Android smartphone development of communications technology has increased compared to users of other devices, e.g. blackberry, which has dropped from 11.5% to 4.8% while the android market share has grown from 46.9% up to 68.1%. This increasing is being an opportunity for the software developers to design some software based on Android. The aim of this study was to facilitate the pregnant women to find out some information about the nutritional health, abstinence, calculate gestational age and nutrition based on the period of pregnancy. The information system was designed by using UML, the Eclipse IDE with the java programming language, MySQL as the database. The testing results showed that the nutrition information system based on android could help pregnant women to obtain health nutrition information such as nutrition, calories, dietary restrictions that should be avoided during the first month to the nine month of pregnancy, and the calculation of gestation.

Prototype early warning system for heart disease detection using Android Application.

PubMed

Zennifa, Fadilla; Fitrilina; Kamil, Husnil; Iramina, Keiji

2014-01-01

Heart Disease affects approximately 70 million people worldwide where most people do not even know the symptoms. This research examines the prototype of early warning system for heart disease by android application. It aims to facilitate users to early detect heart disease which can be used independently. To build the application in android phone, variable centered intelligence rule system (VCIRS) as decision makers and pulse sensor - Arduino as heart rate detector were applied in this study. Moreover, in Arduino, the heart rate will become an input for symptoms in Android Application. The output of this system is the conclusion statement of users diagnosed with either coronary heart disease, hypertension heart disease, rheumatic heart disease or do not get any kind of heart disease. The result of diagnosis followed by analysis of the value of usage variable rate (VUR) rule usage rate (RUR) and node usage rate (NUR) that shows the value of the rule that will increase when the symptoms frequently appear. This application was compared with the medical analysis from 35 cases of heart disease and it showed concordance between diagnosis from android application and expert diagnosis of the doctors.

Android Platform for Realtime Gait Tracking Using Inertial Measurement Units.

PubMed

Aqueveque, Pablo; Sobarzo, Sergio; Saavedra, Francisco; Maldonado, Claudio; Gómez, Britam

2016-06-13

One of the most important movements performed by the humans is gait. Biomechanical Gait analysis is usually by optical capture systems. However, such systems are expensive and sensitive to light and obstacles. In order to reduce those costs a system based on Inertial Measurements Units (IMU) is proposed. IMU are a good option to make movement analisys indoor with a low post-processing data, allowing to connect those systems to an Android platform. The design is based on two elements: a) The IMU sensors and the b) Android device. The IMU sensor is simple, small (35 x 35 mm), portable and autonomous (7.8 hrs). A resolution of 0.01° in their measurements is obtained, and sends data via Bluetooth link. The Android application works for Android 4.2 or higher, and it is compatible with Bluetooth devices 2.0 or higher. Three IMU sensors send data to a Tablet wirelessly, in order to evaluate the angles evolution for each joint of the leg (hip, knee and ankle). This information is used to calculate gait index and evaluate the gait quality online during the physical therapist is working with the patient.

Development of a real time activity monitoring Android application utilizing SmartStep.

PubMed

Hegde, Nagaraj; Melanson, Edward; Sazonov, Edward

2016-08-01

Footwear based activity monitoring systems are becoming popular in academic research as well as consumer industry segments. In our previous work, we had presented developmental aspects of an insole based activity and gait monitoring system-SmartStep, which is a socially acceptable, fully wireless and versatile insole. The present work describes the development of an Android application that captures the SmartStep data wirelessly over Bluetooth Low energy (BLE), computes features on the received data, runs activity classification algorithms and provides real time feedback. The development of activity classification methods was based on the the data from a human study involving 4 participants. Participants were asked to perform activities of sitting, standing, walking, and cycling while they wore SmartStep insole system. Multinomial Logistic Discrimination (MLD) was utilized in the development of machine learning model for activity prediction. The resulting classification model was implemented in an Android Smartphone. The Android application was benchmarked for power consumption and CPU loading. Leave one out cross validation resulted in average accuracy of 96.9% during model training phase. The Android application for real time activity classification was tested on a human subject wearing SmartStep resulting in testing accuracy of 95.4%.

Content and structure of knowledge base used for virtual control of android arm motion in specified environment

NASA Astrophysics Data System (ADS)

Pritykin, F. N.; Nebritov, V. I.

2018-01-01

The paper presents the configuration of knowledge base necessary for intelligent control of android arm mechanism motion with different positions of certain forbidden regions taken into account. The present structure of the knowledge base characterizes the past experience of arm motion synthesis in the vector of velocities with due regard for the known obstacles. This structure also specifies its intrinsic properties. Knowledge base generation is based on the study of the arm mechanism instantaneous states implementations. Computational experiments connected with the virtual control of android arm motion with known forbidden regions using the developed knowledge base are introduced. Using the developed knowledge base to control virtually the arm motion reduces the time of test assignments calculation. The results of the research can be used in developing control systems of autonomous android robots in the known in advance environment.

The development of android - based children's nutritional status monitoring system

NASA Astrophysics Data System (ADS)

Suryanto, Agus; Paramita, Octavianti; Pribadi, Feddy Setio

2017-03-01

The calculation of BMI (Body Mass Index) is one of the methods to calculate the nutritional status of a person. The BMI calculation has not yet widely understood and known by the public. In addition, people should know the importance of progress in the development of child nutrition each month. Therefore, an application to determine the nutritional status of children based on Android was developed in this study. This study restricted the calculation for children with the age of 0-60 months. The application can run on a smartphone or tablet PC with android operating system due to the rapid development of a smartphone or tablet PC with android operating system and many people own and use it. The aim of this study was to produce a android app to calculate of nutritional status of children. This study was Research and Development (R & D), with a design approach using experimental studies. The steps in this study included analyzing the formula of the Body Mass Index (BMI) and developing the initial application with the help of a computer that includes the design and manufacture of display using Eclipse software. This study resulted in android application that can be used to calculate the nutritional status of children with the age 0-60 months. The results of MES or the error calculation analysis using body mass index formula was 0. In addition, the results of MAPE percentage was 0%. It shows that there is no error in the calculation of the application based on the BMI formula. The smaller value of MSE and MAPE leads to higher level of accuracy.

Accurate mobile malware detection and classification in the cloud.

PubMed

Wang, Xiaolei; Yang, Yuexiang; Zeng, Yingzhi

2015-01-01

As the dominator of the Smartphone operating system market, consequently android has attracted the attention of s malware authors and researcher alike. The number of types of android malware is increasing rapidly regardless of the considerable number of proposed malware analysis systems. In this paper, by taking advantages of low false-positive rate of misuse detection and the ability of anomaly detection to detect zero-day malware, we propose a novel hybrid detection system based on a new open-source framework CuckooDroid, which enables the use of Cuckoo Sandbox's features to analyze Android malware through dynamic and static analysis. Our proposed system mainly consists of two parts: anomaly detection engine performing abnormal apps detection through dynamic analysis; signature detection engine performing known malware detection and classification with the combination of static and dynamic analysis. We evaluate our system using 5560 malware samples and 6000 benign samples. Experiments show that our anomaly detection engine with dynamic analysis is capable of detecting zero-day malware with a low false negative rate (1.16 %) and acceptable false positive rate (1.30 %); it is worth noting that our signature detection engine with hybrid analysis can accurately classify malware samples with an average positive rate 98.94 %. Considering the intensive computing resources required by the static and dynamic analysis, our proposed detection system should be deployed off-device, such as in the Cloud. The app store markets and the ordinary users can access our detection system for malware detection through cloud service.

Mobile Videoconferencing Apps for Telemedicine.

PubMed

Zhang, Kai; Liu, Wei-Li; Locatis, Craig; Ackerman, Michael

2016-01-01

The quality and performance of several videoconferencing applications (apps) tested on iOS (Apple, Cupertino, CA) and Android (Google, Mountain View, CA) mobile platforms using Wi-Fi (802.11), third-generation (3G), and fourth-generation (4G) cellular networks are described. The tests were done to determine how well apps perform compared with videoconferencing software installed on computers or with more traditional videoconferencing using dedicated hardware. The rationale for app assessment and the testing methodology are described. Findings are discussed in relation to operating system platform (iOS or Android) for which the apps were designed and the type of network (Wi-Fi, 3G, or 4G) used. The platform, network, and apps interact, and it is impossible to discuss videoconferencing experienced on mobile devices in relation to one of these factors without referencing the others. Apps for mobile devices can vary significantly from other videoconferencing software or hardware. App performance increased over the testing period due to improvements in network infrastructure and how apps manage bandwidth.

Creation of an iOS and Android Mobile Application for Inferior Vena Cava (IVC) Filters: A Powerful Tool to Optimize Care of Patients with IVC Filters

PubMed Central

Deso, Steven E.; Idakoji, Ibrahim A.; Muelly, Michael C.; Kuo, William T.

2016-01-01

Owing to a myriad of inferior vena cava (IVC) filter types and their potential complications, rapid and correct identification may be challenging when encountered on routine imaging. The authors aimed to develop an interactive mobile application that allows recognition of all IVC filters and related complications, to optimize the care of patients with indwelling IVC filters. The FDA Premarket Notification Database was queried from 1980 to 2014 to identify all IVC filter types in the United States. An electronic search was then performed on MEDLINE and the FDA MAUDE database to identify all reported complications associated with each device. High-resolution photos were taken of each filter type and corresponding computed tomographic and fluoroscopic images were obtained from an institutional review board–approved IVC filter registry. A wireframe and storyboard were created, and software was developed using HTML5/CSS compliant code. The software was deployed using PhoneGap (Adobe, San Jose, CA), and the prototype was tested and refined. Twenty-three IVC filter types were identified for inclusion. Safety data from FDA MAUDE and 72 relevant peer-reviewed studies were acquired, and complication rates for each filter type were highlighted in the application. Digital photos, fluoroscopic images, and CT DICOM files were seamlessly incorporated. All data were succinctly organized electronically, and the software was successfully deployed into Android (Google, Mountain View, CA) and iOS (Apple, Cupertino, CA) platforms. A powerful electronic mobile application was successfully created to allow rapid identification of all IVC filter types and related complications. This application may be used to optimize the care of patients with IVC filters. PMID:27247483

Creation of an iOS and Android Mobile Application for Inferior Vena Cava (IVC) Filters: A Powerful Tool to Optimize Care of Patients with IVC Filters.

PubMed

Deso, Steven E; Idakoji, Ibrahim A; Muelly, Michael C; Kuo, William T

2016-06-01

Owing to a myriad of inferior vena cava (IVC) filter types and their potential complications, rapid and correct identification may be challenging when encountered on routine imaging. The authors aimed to develop an interactive mobile application that allows recognition of all IVC filters and related complications, to optimize the care of patients with indwelling IVC filters. The FDA Premarket Notification Database was queried from 1980 to 2014 to identify all IVC filter types in the United States. An electronic search was then performed on MEDLINE and the FDA MAUDE database to identify all reported complications associated with each device. High-resolution photos were taken of each filter type and corresponding computed tomographic and fluoroscopic images were obtained from an institutional review board-approved IVC filter registry. A wireframe and storyboard were created, and software was developed using HTML5/CSS compliant code. The software was deployed using PhoneGap (Adobe, San Jose, CA), and the prototype was tested and refined. Twenty-three IVC filter types were identified for inclusion. Safety data from FDA MAUDE and 72 relevant peer-reviewed studies were acquired, and complication rates for each filter type were highlighted in the application. Digital photos, fluoroscopic images, and CT DICOM files were seamlessly incorporated. All data were succinctly organized electronically, and the software was successfully deployed into Android (Google, Mountain View, CA) and iOS (Apple, Cupertino, CA) platforms. A powerful electronic mobile application was successfully created to allow rapid identification of all IVC filter types and related complications. This application may be used to optimize the care of patients with IVC filters.

Programming models for energy-aware systems

NASA Astrophysics Data System (ADS)

Zhu, Haitao

Energy efficiency is an important goal of modern computing, with direct impact on system operational cost, reliability, usability and environmental sustainability. This dissertation describes the design and implementation of two innovative programming languages for constructing energy-aware systems. First, it introduces ET, a strongly typed programming language to promote and facilitate energy-aware programming, with a novel type system design called Energy Types. Energy Types is built upon a key insight into today's energy-efficient systems and applications: despite the popular perception that energy and power can only be described in joules and watts, real-world energy management is often based on discrete phases and modes, which in turn can be reasoned about by type systems very effectively. A phase characterizes a distinct pattern of program workload, and a mode represents an energy state the program is expected to execute in. Energy Types is designed to reason about energy phases and energy modes, bringing programmers into the optimization of energy management. Second, the dissertation develops Eco, an energy-aware programming language centering around sustainability. A sustainable program built from Eco is able to adaptively adjusts its own behaviors to stay on a given energy budget, avoiding both deficit that would lead to battery drain or CPU overheating, and surplus that could have been used to improve the quality of the program output. Sustainability is viewed as a form of supply and demand matching, and a sustainable program consistently maintains the equilibrium between supply and demand. ET is implemented as a prototyped compiler for smartphone programming on Android, and Eco is implemented as a minimal extension to Java. Programming practices and benchmarking experiments in these two new languages showed that ET can lead to significant energy savings for Android Apps and Eco can efficiently promote battery awareness and temperature awareness in real-world Java programs.

Prevalence of cardiovascular risk factors in the urban population of Soussa in Tunisia.

PubMed

Ghannem, H; Hadj Fredj, A

1997-12-01

With the epidemiological transition phenomenon, Tunisia is now facing the growing prevalence of chronic diseases. Environmental and behavioural changes such as the adoption of new dietary habits and a sedentary lifestyle, and the stress of urbanization and of working conditions all lead to the rise in cardiovascular disease (CVD) risk factors. The aim of this study is to estimate the prevalence of the main CVD risk factors in an urban context. For this, we have undertaken a household epidemiological survey of a representative sample of the adult urban population of Soussa, Tunisia (n = 957). This study shows high prevalences of hypertension (blood pressure >160/95 mmHg) of 18.8 per cent with an adjusted rate of 15.6 per cent, history of diabetes of 10.2 per cent, and obesity (body mass index > 30) of 27.7 per cent [significantly higher in women (34.4 per cent)], android obesity 36 per cent, smoking habits 21.5 per cent [significantly higher in men (61.4 per cent)]. With this profile of CVD risk factors, Tunisia must implement a national strategy of primary prevention and heart health promotion in addition to the efforts recently made in secondary prevention of some chronic diseases such as hypertension and diabetes.

[Insulin-glucose ratio and body fat composition in patients with chronic anovulation and sterility].

PubMed

Vital Reyes, V S; Enríquez Miranda, M C; Martínez Martínez, E; Coronel, M C; Hinojosa Cruz, J C; Téllez Velasco, S

2002-02-01

A clinical, descriptive, and transversal study was conducted in a group of patients with chronic anovulation and sterility, to correlate insulin resistance, determined by the fasting glucose/insulin ratio, with body fat composition using anthropometrics parameters and the interaction of light near infrared region method, we studied 41 young patients with chronic anovulation and sterility. Based on their body mass index, all patients had obesity or overweight. Similarly, most of them presented with a percentage of body fat over the recommended limits. Forty percent of all studied patients had a fasting glucose/insulin ratio below 4.5, which corresponds to insulin resistance. The correlation between the percentage of body fat and fasting glucose/insulin ratio was significant, as was the correlation between body mass index and the percentage of body fat. We found overweight or obesity in the majority of our patients, and insulin resistance in almost half of them. Such disturbances were positively associated with the percentage of body fat and android distribution. Therefore, we recommend a routinely anthropometrics evaluation in these patients as well as fasting glucose/insulin ratio determination in order to act in an early stage over the natural history of metabolic syndrome, whose common denominator is insulin resistance.

Android worksheet application based on discovery learning on students' achievement for vocational high school: Mechanical behavior of materials topics

NASA Astrophysics Data System (ADS)

Nanto, Dwi; Aini, Anisa Nurul; Mulhayatiah, Diah

2017-05-01

This research reports a study of student worksheet based on discovery learning on Mechanical Behavior of Materials topics under Android application (Android worksheet application) for vocational high school. The samples are Architecture class X students of SMKN 4 (a public vocational high school) in Tangerang Selatan City, province of Banten, Indonesia. We made 3 groups based on Intellectual Quotient (IQ). They are average IQ group, middle IQ group and high IQ group. The method of research is used as a quasi-experimental design with nonequivalent control group design. The technique of sampling is purposive sampling. Instruments used in this research are test instruments and non-test instruments. The test instruments are IQ test and test of student's achievement. For the test of student's achievement (pretest and posttest) we provide 25 multiple choice problems. The non-test instruments are questionnaire responses by the students and the teacher. Without IQ categorized, the result showed that there is an effect of Android worksheet application on student's achievement based on cognitive aspects of Revised Bloom's Taxonomy. However, from the IQ groups point of view, only the middle IQ group and the high IQ group showed a significant effect from the Android worksheet application on student's achievement meanwhile for the average IQ group there was no effect.

Behind the Robot's Smiles and Frowns: In Social Context, People Do Not Mirror Android's Expressions But React to Their Informational Value.

PubMed

Hofree, Galit; Ruvolo, Paul; Reinert, Audrey; Bartlett, Marian S; Winkielman, Piotr

2018-01-01

Facial actions are key elements of non-verbal behavior. Perceivers' reactions to others' facial expressions often represent a match or mirroring (e.g., they smile to a smile). However, the information conveyed by an expression depends on context. Thus, when shown by an opponent, a smile conveys bad news and evokes frowning. The availability of anthropomorphic agents capable of facial actions raises the question of how people respond to such agents in social context. We explored this issue in a study where participants played a strategic game with or against a facially expressive android. Electromyography (EMG) recorded participants' reactions over zygomaticus muscle (smiling) and corrugator muscle (frowning). We found that participants' facial responses to android's expressions reflect their informational value, rather than a direct match. Overall, participants smiled more, and frowned less, when winning than losing. Critically, participants' responses to the game outcome were similar regardless of whether it was conveyed via the android's smile or frown. Furthermore, the outcome had greater impact on people's facial reactions when it was conveyed through android's face than a computer screen. These findings demonstrate that facial actions of artificial agents impact human facial responding. They also suggest a sophistication in human-robot communication that highlights the signaling value of facial expressions.

Sleeping with an Android

PubMed Central

2017-01-01

Sleep quality and duration are strong indicators of an individual’s health and quality of lifebut they are difficult to track in everyday life. Mobile apps such as Sleep as Android leverage smartphone sensors to track sleep patterns and make recommendations to improve sleeping habits. PMID:28293622

Androidal fat dominates in predicting cardiometabolic risk in postmenopausal women

USDA-ARS?s Scientific Manuscript database

We hypothesized that soy isoflavones would attenuate the anticipated increase in androidal fat mass in postmenopausal women during the 36-month treatment, and thereby favorably modify the circulating cardiometabolic risk factors: triacylglycerol, LDLC, HDL-C, glucose, insulin, uric acid, C-reactive ...

[Design of Oxygen Saturation, Heart Rate, Respiration Rate Detection System Based on Smartphone of Android Operating System].

PubMed

Zhu, Mingshan; Zeng, Bixin

2015-03-01

In this paper, we designed an oxygen saturation, heart rate, respiration rate monitoring system based on smartphone of android operating system, physiological signal acquired by MSP430 microcontroller and transmitted by Bluetooth module.

Effects of canola and high-oleic-acid canola oils on abdominal fat mass in individuals with central obesity.

PubMed

Liu, Xiaoran; Kris-Etherton, Penny M; West, Sheila G; Lamarche, Benoît; Jenkins, David J A; Fleming, Jennifer A; McCrea, Cindy E; Pu, Shuaihua; Couture, Patrick; Connelly, Philip W; Jones, Peter J H

2016-11-01

To determine the effect of diets low in saturated fatty acids and high in monounsaturated fatty acids (MUFA) or polyunsaturated fatty acids on body composition in participants at risk for metabolic syndrome (MetS). This study was a randomized, crossover, controlled feeding study. Participants (n = 101, ages 49.5 ± 1.2, BMI 29.4 ± 0.4 kg/m 2 ) were randomized to five isocaloric diets containing treatment oils: Canola, CanolaOleic, CanolaDHA, Corn/Safflower, and Flax/Safflower. Each diet period was 4 weeks followed by a 2- to 4-week washout period. Canola (3.1 kg, P = 0.026) and CanolaOleic oil diets (3.09 kg, P = 0.03) reduced android fat mass compared with the Flax/Saff oil diet (3.2 kg), particularly in men. The decrease in abdominal fat mass was correlated with the reduction in blood pressure after the Canola (systolic blood pressure: r = 0.26, P = 0.062; diastolic blood pressure: r = 0.38, P = 0.0049) and CanolaOleic oil diets (systolic blood pressure: r = 0.39 P = 0.004; diastolic blood pressure: r = 0.45, P = 0.0006). The decrease in abdominal fat mass also was associated with a reduction in triglyceride levels after the CanolaOleic oil diet (r = 0.42, P = 0.002). Diets high in MUFA (compared with PUFA) reduced central obesity with an accompanying improvement in MetS risk factors. Diets high in MUFA may be beneficial for treating and perhaps preventing MetS. © 2016 The Obesity Society.

Using Mobile App Development Tools to Build a GIS Application

NASA Astrophysics Data System (ADS)

Mital, A.; Catchen, M.; Mital, K.

2014-12-01

Our group designed and built working web, android, and IOS applications using different mapping libraries as bases on which to overlay fire data from NASA. The group originally planned to make app versions for Google Maps, Leaflet, and OpenLayers. However, because the Leaflet library did not properly load on Android, the group focused efforts on the other two mapping libraries. For Google Maps, the group first designed a UI for the web app and made a working version of the app. After updating the source of fire data to one which also provided historical fire data, the design had to be modified to include the extra data. After completing a working version of the web app, the group used webview in android, a built in resource which allowed porting the web app to android without rewriting the code for android. Upon completing this, the group found Apple IOS devices had a similar capability, and so decided to add an IOS app to the project using a function similar to webview. Alongside this effort, the group began implementing an OpenLayers fire map using a simpler UI. This web app was completed fairly quickly relative to Google Maps; however, it did not include functionality such as satellite imagery or searchable locations. The group finished the project with a working android version of the Google Maps based app supporting API levels 14-19 and an OpenLayers based app supporting API levels 8-19, as well as a Google Maps based IOS app supporting both old and new screen formats. This project was implemented by high school and college students under an SGT Inc. STEM internship program

Space Images for NASA JPL Android Version

NASA Technical Reports Server (NTRS)

Nelson, Jon D.; Gutheinz, Sandy C.; Strom, Joshua R.; Arca, Jeremy M.; Perez, Martin; Boggs, Karen; Stanboli, Alice

2013-01-01

This software addresses the demand for easily accessible NASA JPL images and videos by providing a user friendly and simple graphical user interface that can be run via the Android platform from any location where Internet connection is available. This app is complementary to the iPhone version of the application. A backend infrastructure stores, tracks, and retrieves space images from the JPL Photojournal and Institutional Communications Web server, and catalogs the information into a streamlined rating infrastructure. This system consists of four distinguishing components: image repository, database, server-side logic, and Android mobile application. The image repository contains images from various JPL flight projects. The database stores the image information as well as the user rating. The server-side logic retrieves the image information from the database and categorizes each image for display. The Android mobile application is an interfacing delivery system that retrieves the image information from the server for each Android mobile device user. Also created is a reporting and tracking system for charting and monitoring usage. Unlike other Android mobile image applications, this system uses the latest emerging technologies to produce image listings based directly on user input. This allows for countless combinations of images returned. The backend infrastructure uses industry-standard coding and database methods, enabling future software improvement and technology updates. The flexibility of the system design framework permits multiple levels of display possibilities and provides integration capabilities. Unique features of the software include image/video retrieval from a selected set of categories, image Web links that can be shared among e-mail users, sharing to Facebook/Twitter, marking as user's favorites, and image metadata searchable for instant results.

Reliability and validity of a smartphone pulse rate application for the assessment of resting and elevated pulse rate.

PubMed

Mitchell, Katy; Graff, Megan; Hedt, Corbin; Simmons, James

2016-08-01

Purpose/hypothesis: This study was designed to investigate the test-retest reliability, concurrent validity, and the standard error of measurement (SEm) of a pulse rate assessment application (Azumio®'s Instant Heart Rate) on both Android® and iOS® (iphone operating system) smartphones as compared to a FT7 Polar® Heart Rate monitor. Number of subjects: 111. Resting (sitting) pulse rate was assessed twice and then the participants were asked to complete a 1-min standing step test and then immediately re-assessed. The smartphone assessors were blinded to their measurements. Test-retest reliability (intraclass correlation coefficient [ICC 2,1] and 95% confidence interval) for the three tools at rest (time 1/time 2): iOS® (0.76 [0.67-0.83]); Polar® (0.84 [0.78-0.89]); and Android® (0.82 [0.75-0.88]). Concurrent validity at rest time 2 (ICC 2,1) with the Polar® device: IOS® (0.92 [0.88-0.94]) and Android® (0.95 [0.92-0.96]). Concurrent validity post-exercise (time 3) (ICC) with the Polar® device: iOS® (0.90 [0.86-0.93]) and Android® (0.94 [0.91-0.96]). The SEm values for the three devices at rest: iOS® (5.77 beats per minute [BPM]), Polar® (4.56 BPM) and Android® (4.96 BPM). The Android®, iOS®, and Polar® devices showed acceptable test-retest reliability at rest and post-exercise. Both the smartphone platforms demonstrated concurrent validity with the Polar® at rest and post-exercise. The Azumio® Instant Heart Rate application when used by either platform appears to be a reliable and valid tool to assess pulse rate in healthy individuals.

The effects of obesity and type 2 diabetes mellitus on cardiac structure and function in adolescents and young adults.

PubMed

Shah, A S; Khoury, P R; Dolan, L M; Ippisch, H M; Urbina, E M; Daniels, S R; Kimball, T R

2011-04-01

We sought to evaluate the effects of obesity and obesity-related type 2 diabetes mellitus on cardiac geometry (remodelling) and systolic and diastolic function in adolescents and young adults. Cardiac structure and function were compared by echocardiography in participants who were lean, obese or obese with type 2 diabetes (obese diabetic), in a cross sectional study. Group differences were assessed using ANOVA. Independent determinants of cardiac outcome measures were evaluated with general linear models. Adolescents with obesity and obesity-related type 2 diabetes were found to have abnormal cardiac geometry compared with lean controls (16% and 20% vs <1%, p < 0.05). These two groups also had increased systolic function. Diastolic function decreased from the lean to obese to obese diabetic groups with the lowest diastolic function observed in the obese diabetic group (p < 0.05). Regression analysis showed that group, BMI z score (BMIz), group × BMIz interaction and systolic BP z score (BPz) were significant determinants of cardiac structure, while group, BMIz, systolic BPz, age and fasting glucose were significant determinants of the diastolic function (all p < 0.05). Adolescents with obesity and obesity-related type 2 diabetes demonstrate changes in cardiac geometry consistent with cardiac remodelling. These two groups also demonstrate decreased diastolic function compared with lean controls, with the greatest decrease observed in those with type 2 diabetes. Adults with diastolic dysfunction are known to be at increased risk of progressing to heart failure. Therefore, our findings suggest that adolescents with obesity-related type 2 diabetes may be at increased risk of progressing to early heart failure compared with their obese and lean counterparts.

Validity of Scientific Based Chemistry Android Module to Empower Science Process Skills (SPS) in Solubility Equilibrium

NASA Astrophysics Data System (ADS)

Antrakusuma, B.; Masykuri, M.; Ulfa, M.

2018-04-01

Evolution of Android technology can be applied to chemistry learning, one of the complex chemistry concept was solubility equilibrium. this concept required the science process skills (SPS). This study aims to: 1) Characteristic scientific based chemistry Android module to empowering SPS, and 2) Validity of the module based on content validity and feasibility test. This research uses a Research and Development approach (RnD). Research subjects were 135 s1tudents and three teachers at three high schools in Boyolali, Central of Java. Content validity of the module was tested by seven experts using Aiken’s V technique, and the module feasibility was tested to students and teachers in each school. Characteristics of chemistry module can be accessed using the Android device. The result of validation of the module contents got V = 0.89 (Valid), and the results of the feasibility test Obtained 81.63% (by the student) and 73.98% (by the teacher) indicates this module got good criteria.

[Portable Epileptic Seizure Monitoring Intelligent System Based on Android System].

PubMed

Liang, Zhenhu; Wu, Shufeng; Yang, Chunlin; Jiang, Zhenzhou; Yu, Tao; Lu, Chengbiao; Li, Xiaoli

2016-02-01

The clinical electroencephalogram (EEG) monitoring systems based on personal computer system can not meet the requirements of portability and home usage. The epilepsy patients have to be monitored in hospital for an extended period of time, which imposes a heavy burden on hospitals. In the present study, we designed a portable 16-lead networked monitoring system based on the Android smart phone. The system uses some technologies including the active electrode, the WiFi wireless transmission, the multi-scale permutation entropy (MPE) algorithm, the back-propagation (BP) neural network algorithm, etc. Moreover, the software of Android mobile application can realize the processing and analysis of EEG data, the display of EEG waveform and the alarm of epileptic seizure. The system has been tested on the mobile phones with Android 2. 3 operating system or higher version and the results showed that this software ran accurately and steadily in the detection of epileptic seizure. In conclusion, this paper provides a portable and reliable solution for epileptic seizure monitoring in clinical and home applications.

Wind turbine remote control using Android devices

NASA Astrophysics Data System (ADS)

Rat, C. L.; Panoiu, M.

2018-01-01

This paper describes the remote control of a wind turbine system over the internet using an Android device, namely a tablet or a smartphone. The wind turbine workstation contains a LabVIEW program which monitors the entire wind turbine energy conversion system (WECS). The Android device connects to the LabVIEW application, working as a remote interface to the wind turbine. The communication between the devices needs to be secured because it takes place over the internet. Hence, the data are encrypted before being sent through the network. The scope was the design of remote control software capable of visualizing real-time wind turbine data through a secure connection. Since the WECS is fully automated and no full-time human operator exists, unattended access to the turbine workstation is needed. Therefore the device must not require any confirmation or permission from the computer operator in order to control it. Another condition is that Android application does not have any root requirements.

System Security And Monitoring On Smart Home Using Android

NASA Astrophysics Data System (ADS)

Romadhon, A. S.

2018-01-01

Home security system is needed for homeowners who have a lot of activities, as a result, they often leave the house without locking the door and even leave the house in a state of lights that are not lit. In order to overcome this case, a system that can control and can monitor the state of the various devices contained in the house or smart home system is urgently required. The working principle of this smart home using android is when the homeowner sends a certain command using android, the command will be forwarded to the microcontroller and then it will be executed based on the parameters that have been determined. For example, it can turn off and on the light using android app. In this study, testing was conducted to a smart home prototype which is equipped with light bulbs, odour sensors, heat sensors, ultrasonic sensors, LDR, buzzer and camera. The test results indicate that the application has been able to control all the sensors of home appliances well.

Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review

PubMed Central

Drouin, Kaitlin; Newmark, Lisa P; Filkins, Malina; Silvers, Elizabeth; Bain, Paul A; Zulman, Donna M; Lee, Jae-Ho; Rozenblum, Ronen; Pabo, Erika; Landman, Adam; Klinger, Elissa V; Bates, David W

2016-01-01

Background Self-management is essential to caring for high-need, high-cost (HNHC) populations. Advances in mobile phone technology coupled with increased availability and adoption of health-focused mobile apps have made self-management more achievable, but the extent and quality of the literature supporting their use is not well defined. Objective The purpose of this review was to assess the breadth, quality, bias, and types of outcomes measured in the literature supporting the use of apps targeting HNHC populations. Methods Data sources included articles in PubMed and MEDLINE (National Center for Biotechnology Information), EMBASE (Elsevier), the Cochrane Central Register of Controlled Trials (EBSCO), Web of Science (Thomson Reuters), and the NTIS (National Technical Information Service) Bibliographic Database (EBSCO) published since 2008. We selected studies involving use of patient-facing iOS or Android mobile health apps. Extraction was performed by 1 reviewer; 40 randomly selected articles were evaluated by 2 reviewers to assess agreement. Results Our final analysis included 175 studies. The populations most commonly targeted by apps included patients with obesity, physical handicaps, diabetes, older age, and dementia. Only 30.3% (53/175) of the apps studied in the reviewed literature were identifiable and available to the public through app stores. Many of the studies were cross-sectional analyses (42.9%, 75/175), small (median number of participants=31, interquartile range 11.0-207.2, maximum 11,690), or performed by an app’s developers (61.1%, 107/175). Of the 175 studies, only 36 (20.6%, 36/175) studies evaluated a clinical outcome. Conclusions Most apps described in the literature could not be located on the iOS or Android app stores, and existing research does not robustly evaluate the potential of mobile apps. Whereas apps may be useful in patients with chronic conditions, data do not support this yet. Although we had 2-3 reviewers to screen and assess abstract eligibility, only 1 reviewer abstracted the data. This is one limitation of our study. With respect to the 40 articles (22.9%, 40/175) that were assigned to 2 reviewers (of which 3 articles were excluded), inter-rater agreement was significant on the majority of items (17 of 30) but fair-to-moderate on others. PMID:27993761

Design and Implementation of Campus Application APP Based on Android

NASA Astrophysics Data System (ADS)

dongxu, Zhu; yabin, liu; xian lei, PI; weixiang, Zhou; meng, Huang

2017-07-01

In this paper, "Internet + campus" as the entrance of the Android technology based on the application of campus design and implementation of Application program. Based on GIS(Geographic Information System) spatial database, GIS spatial analysis technology, Java development technology and Android development technology, this system server adopts the Model View Controller architectue to realize the efficient use of campus information and provide real-time information of all kinds of learning and life for campus student at the same time. "Fingertips on the Institute of Disaster Prevention Science and Technology" release for the campus students of all grades of life, learning, entertainment provides a convenient.

Key Technologies of Phone Storage Forensics Based on ARM Architecture

NASA Astrophysics Data System (ADS)

Zhang, Jianghan; Che, Shengbing

2018-03-01

Smart phones are mainly running Android, IOS and Windows Phone three mobile platform operating systems. The android smart phone has the best market shares and its processor chips are almost ARM software architecture. The chips memory address mapping mechanism of ARM software architecture is different with x86 software architecture. To forensics to android mart phone, we need to understand three key technologies: memory data acquisition, the conversion mechanism from virtual address to the physical address, and find the system’s key data. This article presents a viable solution which does not rely on the operating system API for a complete solution to these three issues.

[Temperature Measurement with Bluetooth under Android Platform].

PubMed

Wang, Shuai; Shen, Hao; Luo, Changze

2015-03-01

To realize the real-time transmission of temperature data and display using the platform of intelligent mobile phone and bluetooth. Application of Arduino Uno R3 in temperature data acquisition of digital temperature sensor DS18B20 acquisition, through the HC-05 bluetooth transmits the data to the intelligent smart phone Android system, realizes transmission of temperature data. Using Java language to write applications program under Android development environment, can achieve real-time temperature data display, storage and drawing temperature fluctuations drawn graphics. Temperature sensor is experimentally tested to meet the body temperature measurement precision and accuracy. This paper can provide a reference for other smart phone mobile medical product development.

Improved particle swarm optimization algorithm for android medical care IOT using modified parameters.

PubMed

Sung, Wen-Tsai; Chiang, Yen-Chun

2012-12-01

This study examines wireless sensor network with real-time remote identification using the Android study of things (HCIOT) platform in community healthcare. An improved particle swarm optimization (PSO) method is proposed to efficiently enhance physiological multi-sensors data fusion measurement precision in the Internet of Things (IOT) system. Improved PSO (IPSO) includes: inertia weight factor design, shrinkage factor adjustment to allow improved PSO algorithm data fusion performance. The Android platform is employed to build multi-physiological signal processing and timely medical care of things analysis. Wireless sensor network signal transmission and Internet links allow community or family members to have timely medical care network services.

Type 2 diabetes and obesity in adults.

PubMed

Whitmore, Catherine

There are approximately 2.5 million people in the UK with diabetes; 85-95% of whom have type 2 diabetes. Type 2 diabetes mellitus is characterized by insulin resistance and impaired insulin secretion. As approximately 90% of people with type 2 diabetes are overweight or obese, obesity is seen as a significant contributory factor in its development. This article aims to examine some of the physiological mechanisms by which overweight and obesity contribute to the development of type 2 diabetes, and review some of the approaches to managing overweight and obesity in the person with established type 2 diabetes, including dietary management, the use of reduced carbohydrate diets on glycamic control, anti-diabetes and anti-obesity drugs both in use and in development, and bariatric surgery.

Android Based Mobile Environment for Moodle Users

ERIC Educational Resources Information Center

de Clunie, Gisela T.; Clunie, Clifton; Castillo, Aris; Rangel, Norman

2013-01-01

This paper is about the development of a platform that eases, throughout Android based mobile devices, mobility of users of virtual courses at Technological University of Panama. The platform deploys computational techniques such as "web services," design patterns, ontologies and mobile technologies to allow mobile devices communicate…

Associations Between Sedentary Time, Physical Activity, and Dual-Energy X-ray Absorptiometry Measures of Total Body, Android, and Gynoid Fat Mass in Children.

PubMed

McCormack, Lacey; Meendering, Jessica; Specker, Bonny; Binkley, Teresa

2016-01-01

Negative health outcomes are associated with excess body fat, low levels of physical activity (PA), and high sedentary time (ST). Relationships between PA, ST, and body fat distribution, including android and gynoid fat, assessed using dual-energy X-ray absorptiometry (DXA) have not been measured in children. The purpose of this study was to test associations between levels of activity and body composition in children and to evaluate if levels of activity predict body composition by DXA and by body mass index percentile in a similar manner. PA, ST, and body composition from 87 children (8.8-11.8 yr, grades 3-5, 44 boys) were used to test the association among study variables. Accelerometers measured PA and ST. Body composition measured by DXA included bone mineral content (BMC) and fat and lean mass of the total body (TB, less head), android, and gynoid regions. ST (range: 409-685 min/wk) was positively associated with TB percent fat (0.03, 95% confidence interval [CI]: 0.00-0.05) and android fat mass (1.5 g, 95% CI: 0.4-3.0), and inversely associated with the lean mass of the TB (-10.7 g, 95% CI: -20.8 to -0.63) and gynoid regions (-2.2 g, 95% CI: -4.3 to -0.2), and with BMC (-0.43 g, 95% CI: 0.77-0.09). Moderate-to-vigorous PA was associated with lower TB (-53 g, 95% CI: -87 to -18), android (-5 g, 95% CI: -8 to -2]), and gynoid fat (-6 g, 95% CI: -11 to -0.5). Vigorous activity results were similar. Light PA was associated with increased TB (17.1 g, 95% CI: 3.0-31.3) and gynoid lean mass (3.9 g, 95% CI: 1.0-6.8) and BMC (0.59 g, 95% CI: 0.10-1.07). In boys, there were significant associations between activity and DXA percent body fat measures that were not found with the body mass index percentile. Objective measures of PA were inversely associated with TB, android, and gynoid fat, whereas ST was directly associated with TB percent fat and, in particular, android fat. Activity levels predict body composition measures by DXA and, in particular, android fat distribution. Copyright © 2016 International Society for Clinical Densitometry. Published by Elsevier Inc. All rights reserved.

Evaluation of Android Smartphones for Telepathology

PubMed Central

Ekong, Donald; Liu, Fang; Brown, G. Thomas; Ghosh, Arunima; Fontelo, Paul

2017-01-01

Background: In the year 2014, Android smartphones accounted for one-third of mobile connections globally but are predicted to increase to two-thirds by 2020. In developing countries, where teleconsultations can benefit health-care providers most, the ratio is even higher. This study compared the use of two Android phones, an 8 megapixel (MP) and a 16 MP phone, for capturing microscopic images. Method: The Android phones were used to capture images and videos of a gastrointestinal biopsy teaching set of referred cases from the Armed Forces Institute of Pathology (AFIP). The acquired images and videos were reviewed online by two pathologists for image quality, adequacy for diagnosis, usefulness of video overviews, and confidence in diagnosis, on a 5-point Likert scale. Results: The results show higher means in a 5-point Likert scale for the 8 MP versus the 16 MP phone that were statistically significant in adequacy of images (4.0 vs. 3.75) for rendering diagnosis and for agreement with the reference diagnosis (2.33 vs. 2.07). Although the quality of images was found higher in the 16 MP phone (3.8 vs. 3.65), these were not statistically significant. Adding video images of the entire specimen was found to be useful for evaluating the slides (combined mean, 4.0). Conclusion: For telepathology and other image dependent practices in developing countries, Android phones could be a useful tool for capturing images. PMID:28480119

Evaluation of Android Smartphones for Telepathology.

PubMed

Ekong, Donald; Liu, Fang; Brown, G Thomas; Ghosh, Arunima; Fontelo, Paul

2017-01-01

In the year 2014, Android smartphones accounted for one-third of mobile connections globally but are predicted to increase to two-thirds by 2020. In developing countries, where teleconsultations can benefit health-care providers most, the ratio is even higher. This study compared the use of two Android phones, an 8 megapixel (MP) and a 16 MP phone, for capturing microscopic images. The Android phones were used to capture images and videos of a gastrointestinal biopsy teaching set of referred cases from the Armed Forces Institute of Pathology (AFIP). The acquired images and videos were reviewed online by two pathologists for image quality, adequacy for diagnosis, usefulness of video overviews, and confidence in diagnosis, on a 5-point Likert scale. The results show higher means in a 5-point Likert scale for the 8 MP versus the 16 MP phone that were statistically significant in adequacy of images (4.0 vs. 3.75) for rendering diagnosis and for agreement with the reference diagnosis (2.33 vs. 2.07). Although the quality of images was found higher in the 16 MP phone (3.8 vs. 3.65), these were not statistically significant. Adding video images of the entire specimen was found to be useful for evaluating the slides (combined mean, 4.0). For telepathology and other image dependent practices in developing countries, Android phones could be a useful tool for capturing images.

Carnitine supplementation to obese Zucker rats prevents obesity-induced type II to type I muscle fiber transition and favors an oxidative phenotype of skeletal muscle

PubMed Central

2013-01-01

Background In the present study, we tested the hypothesis that carnitine supplementation counteracts obesity-induced muscle fiber transition from type I to type II. Methods 24 obese Zucker rats were randomly divided into two groups of 12 rats each (obese control, obese carnitine) and 12 lean Zucker rats were selected for lean control group. A control diet was given to both control groups and a carnitine supplemented diet (3 g/kg diet) was given to obese carnitine group for 4 wk. Components of the muscle fiber transformation in skeletal muscle were examined. Results The plasma level of carnitine were lower in the obese control group compared to the lean control group and higher in the obese carnitine group than in the other groups (P < 0.05). Plasma concentrations of triglycerides and non-esterified fatty acids were increased in obese animals compared to lean animals and the obese carnitine group had lower level compared to the obese control group (P < 0.05). The obese carnitine group had an increased number of type I muscle fibers and higher mRNA levels of type I fiber-specific myosin heavy chain, regulators of muscle fiber transition and of genes involved in carnitine uptake, fatty acid transport, β-oxidation, angiogenesis, tricarboxylic acid cycle and thermo genesis in M. rectus femoris compared to the other groups (P < 0.05). Conclusion The results demonstrate that carnitine supplementation to obese Zucker a rat counteracts the obesity-induced muscle fiber transition and restores the muscle oxidative metabolic phenotype. Carnitine supplementation is supposed to be beneficial for the treatment of elevated levels of plasma lipids during obesity or diabetes. PMID:23842456

A New Tool to Facilitate Learning Reading for Early Childhood

ERIC Educational Resources Information Center

Puspitasari, Cita; Subiyanto

2017-01-01

This paper proposes a new android application for early childhood learning reading. The description includes a design, development, and an evaluation experiment of an educational game for learning reading on android. Before developing the game, Unified Modeling Language (UML) diagrams, interfaces, animation, narrative or audio were designed.…

Brd2 gene disruption causes ‘metabolically healthy’ obesity: Epigenetic and chromatin-based mechanisms that uncouple obesity from Type 2 diabetes

PubMed Central

Wang, Fangnian; Deeney, Jude T.; Denis, Gerald V.

2014-01-01

Disturbed body energy balance can lead to obesity and obesity-driven diseases such as Type 2 diabetes, which have reached an epidemic level. Evidence indicates that obesity induced inflammation is a major cause of insulin resistance and Type 2 diabetes. Environmental factors, such as nutrients, affect body energy balance through epigenetic or chromatin-based mechanisms. As a bromodomain and external domain family transcription regulator, Brd2 regulates expression of many genes through interpretation of chromatin codes, and participates in the regulation of body energy balance and immune function. In the severely obese state, Brd2 knockdown in mice prevented obesity-induced inflammatory responses, protected animals from Type 2 diabetes, and thus uncoupled obesity from diabetes. Brd2 provides an important model for investigation of the function of transcription regulators and the development of obesity and diabetes; it also provides a possible target to treat obesity and diabetes through modulation of the function of a chromatin code reader. PMID:23374712

Type 2 diabetes, but not obesity, prevalence is positively associated with ambient temperature.

PubMed

Speakman, John R; Heidari-Bakavoli, Sahar

2016-08-01

Cold exposure stimulates energy expenditure and glucose disposal. If these factors play a significant role in whole body energy balance, and glucose homeostasis, it is predicted that both obesity and type 2 diabetes prevalence would be lower where it is colder. Previous studies have noted connections between ambient temperature and obesity, but the direction of the effect is confused. No previous studies have explored the link of type 2 diabetes to ambient temperature. We used county level data for obesity and diabetes prevalence across the mainland USA and matched this to county level ambient temperature data. Average ambient temperature explained 5.7% of the spatial variation in obesity and 29.6% of the spatial variation in type 2 diabetes prevalence. Correcting the type 2 diabetes data for the effect of obesity reduced the explained variation to 26.8%. Even when correcting for obesity, poverty and race, ambient temperature explained 12.4% of the variation in the prevalence of type 2 diabetes, and this significant effect remained when latitude was entered into the model as a predictor. When obesity prevalence was corrected for poverty and race the significant effect of temperature disappeared. Enhancing energy expenditure by cold exposure will likely not impact obesity significantly, but may be useful to combat type 2 diabetes.

Perception of childhood obesity in mothers of preschool children.

PubMed

Kim, Hae Ok; Kim, Gyo Nam; Park, Euna

2015-04-01

The purpose of this study was to identify the perception of childhood obesity in mothers of preschool children using Q methodology. A total of 38 Q statements about childhood obesity were obtained from 41 participants. The QUANL PC program was used to analyze the results. There were three types of perception toward obesity in mothers of preschool children: the "authoritative discipline type," the "generous home meal focused type," and the "home meal based on household financial situation type." The perception of mothers toward childhood obesity can affect the extent of maternal interaction with children or meal preparation for the family. Based on these results, it is necessary to plan specific programs according to the types of maternal perception toward childhood obesity.

Coalition Warrior Interoperability Demonstration 2011 Trial 2.32 - Managing Military Civilian Messaging (M2CM) Summary Report

DTIC Science & Technology

2011-08-01

Recommendation: Smartphone/ Android technology and the creation of “ Apps ” for emergency management tools should be considered essential for the...and Training Center …………………………………………………….. 14 6.2 Communications ………………………………………………………………………………….. 17 6.2.1 Android ...effectively. Monmouth University’s Android application was not handling COGs effectively. The programmer’s (doctoral students) were on constant standby

Obesity and cancer: inflammation bridges the two

PubMed Central

Kolb, Ryan; Sutterwala, Fayyaz S.; Zhang, Weizhou

2016-01-01

Obesity is a growing public health problem and affects 35% US adults. Obesity increases the risk of many cancer types and is associated with poor outcomes. Clinical management of cancer patients has been essentially the same between normal weight and obese individuals. Understanding causal mechanisms by which obesity drives cancer initiation and progression is essential for the development of novel precision therapy for obese cancer patients. One caveat is that various mechanisms have been proposed for different cancer types for their progression under obesity. Since obesity is known to have global impact on inflammation, here we will summarize recent literature and discuss the potential of inflammation being the common causal mechanism to promote cancer promotion across cancer types. PMID:27429211

Obese individuals with type 2 diabetes demonstrate decreased activation of the salience-related insula and increased activation of the emotion/salience-related amygdala to visual food cues compared to non-obese individuals with diabetes: a preliminary study.

PubMed

Farr, Olivia M; Mantzoros, Christos S

2018-06-08

A better understanding of the underlying pathophysiology of obesity and its comorbidities is needed to develop more effective therapeutics. Although several studies have observed differences in CNS activation/deactivation patterns between obese and lean individuals when viewing food cues, few studies have examined whether the same holds true among diabetics. We examined cross-sectionally, using functional magnetic resonance imaging (fMRI), differences in brain activation to food cues between obese (n=6) vs. non-obese (n=5) individuals with type 2 diabetes. Obese individuals with type 2 diabetes demonstrate less activation of the salience- and reward-related insula while fasting and increased activation of the amygdala to highly desirable foods after a meal. Our findings in type 2 diabetes suggest a persistence of differences between obese versus non-obese individuals. Future, larger studies should confirm this differential activation between lean and obese individuals with and without type 2 diabetes. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Mobile Konami Codes: Analysis of Android Malware Services Utilizing Sensor and Resource-Based State Changes

DTIC Science & Technology

2015-03-01

our focus will remain on Android rather than being all-inclusive of others such as iOS, Blackberry 10, and Windows Phone. The proof-of-concept...the attack surface for malicious applications to compromise vulnerable Services grows . Additionally, Services also have a life cycle with

Techtalk: Mobile Learning and Literacy Development

ERIC Educational Resources Information Center

Caverly, David C.

2013-01-01

In the last column, author David Caverly discussed the role of mobile devices (i.e., phones, tablets, laptops) in everyday lives and in academia. In this column, he reviews specific apps for fostering literacy development. Still, he warns that with over 800,000 apps for Apple and Android devices (iOS or Android, respectively) and the Windows…

Improving College Students English Learning with Dr. Eye Android Mid

ERIC Educational Resources Information Center

Yang, Ju Yin; Che, Pei-Chun

2015-01-01

This paper investigates college students' English language learning through use of Dr. Eye Android handheld mobile Internet device (MID). Compared to related studies, students' English learning using MIDs has not been evaluated and fully understood in the field of higher education. Quantitatively, the researchers used TOEIC pretest and posttest to…

Context-Based Mobile Security Enclave

DTIC Science & Technology

2012-09-01

29  c.  Change IMSI .............................30  d.  Change CellID ...........................31  e.  Change Geolocation ...Assisted Global Positioning System ADB Android Debugger API Application Programming Interface APK Android Application Package BSC Base Station...Programming Interfaces ( APIs ), which use Java compatible libraries based on Apache Harmony (an open source Java implementation developed by the Apache

A Smart Voltage and Current Monitoring System for Three Phase Inverters Using an Android Smartphone Application

PubMed Central

Mnati, Mohannad Jabbar; Van den Bossche, Alex; Chisab, Raad Farhood

2017-01-01

In this paper, a new smart voltage and current monitoring system (SVCMS) technique is proposed. It monitors a three phase electrical system using an Arduino platform as a microcontroller to read the voltage and current from sensors and then wirelessly send the measured data to monitor the results using a new Android application. The integrated SVCMS design uses an Arduino Nano V3.0 as the microcontroller to measure the results from three voltage and three current sensors and then send this data, after calculation, to the Android smartphone device of an end user using Bluetooth HC-05. The Arduino Nano V3.0 controller and Bluetooth HC-05 are a cheap microcontroller and wireless device, respectively. The new Android smartphone application that monitors the voltage and current measurements uses the open source MIT App Inventor 2 software. It allows for monitoring some elementary fundamental voltage power quality properties. An effort has been made to investigate what is possible using available off-the-shelf components and open source software. PMID:28420132

Framework for near-field-communication-based geo-localization and personalization for Android-based smartphones--application in hospital environments.

PubMed

Meng, Philipp; Fehre, Karsten; Rappelsberger, Andrea; Adlassnig, Klaus-Peter

2014-01-01

Various applications using near field communication (NFC) have been developed for the medical sector. As a method of short-range wireless contact-driven data transfer, NFC is a useful tool in medicine. It can be used to transfer data such as blood pressure, control adherence to medication, or transmit in vivo data. The first proposed general framework uses NFC as a mechanism for indoor geo-localization in hospitals. NFC geo-localization is economical compared to classical concepts using indoor GPS or WLAN triangulation, and the granularity of location retrieval can be defined at a tag level. Using this framework, we facilitate the development of medical applications that require exact indoor geo-localization. Multi-user Android systems are addressed in the second framework. Using private NFC tags, users are able to carry on their personal settings for enabled applications. This eliminates the need for multiple user accounts on common Android devices, improves usability, and eases technical administration. Based on the prototypes presented here, we show a novel concept of using NFC-enabled Android devices in hospital environments.

A Smart Voltage and Current Monitoring System for Three Phase Inverters Using an Android Smartphone Application.

PubMed

Mnati, Mohannad Jabbar; Van den Bossche, Alex; Chisab, Raad Farhood

2017-04-15

In this paper, a new smart voltage and current monitoring system (SVCMS) technique is proposed. It monitors a three phase electrical system using an Arduino platform as a microcontroller to read the voltage and current from sensors and then wirelessly send the measured data to monitor the results using a new Android application. The integrated SVCMS design uses an Arduino Nano V3.0 as the microcontroller to measure the results from three voltage and three current sensors and then send this data, after calculation, to the Android smartphone device of an end user using Bluetooth HC-05. The Arduino Nano V3.0 controller and Bluetooth HC-05 are a cheap microcontroller and wireless device, respectively. The new Android smartphone application that monitors the voltage and current measurements uses the open source MIT App Inventor 2 software. It allows for monitoring some elementary fundamental voltage power quality properties. An effort has been made to investigate what is possible using available off-the-shelf components and open source software.

Innate biology versus lifestyle behaviour in the aetiology of obesity and type 2 diabetes: the GLACIER Study.

PubMed

Poveda, Alaitz; Koivula, Robert W; Ahmad, Shafqat; Barroso, Inês; Hallmans, Göran; Johansson, Ingegerd; Renström, Frida; Franks, Paul W

2016-03-01

We compared the ability of genetic (established type 2 diabetes, fasting glucose, 2 h glucose and obesity variants) and modifiable lifestyle (diet, physical activity, smoking, alcohol and education) risk factors to predict incident type 2 diabetes and obesity in a population-based prospective cohort of 3,444 Swedish adults studied sequentially at baseline and 10 years later. Multivariable logistic regression analyses were used to assess the predictive ability of genetic and lifestyle risk factors on incident obesity and type 2 diabetes by calculating the AUC. The predictive accuracy of lifestyle risk factors was similar to that yielded by genetic information for incident type 2 diabetes (AUC 75% and 74%, respectively) and obesity (AUC 68% and 73%, respectively) in models adjusted for age, age(2) and sex. The addition of genetic information to the lifestyle model significantly improved the prediction of type 2 diabetes (AUC 80%; p = 0.0003) and obesity (AUC 79%; p < 0.0001) and resulted in a net reclassification improvement of 58% for type 2 diabetes and 64% for obesity. These findings illustrate that lifestyle and genetic information separately provide a similarly high degree of long-range predictive accuracy for obesity and type 2 diabetes.

Investigating weaknesses in Android certificate security

NASA Astrophysics Data System (ADS)

Krych, Daniel E.; Lange-Maney, Stephen; McDaniel, Patrick; Glodek, William

2015-05-01

Android's application market relies on secure certificate generation to establish trust between applications and their users; yet, cryptography is often not a priority for application developers and many fail to take the necessary security precautions. Indeed, there is cause for concern: several recent high-profile studies have observed a pervasive lack of entropy on Web-systems leading to the factorization of private keys.1 Sufficient entropy, or randomness, is essential to generate secure key pairs and combat predictable key generation. In this paper, we analyze the security of Android certificates. We investigate the entropy present in 550,000 Android application certificates using the Quasilinear GCD finding algorithm.1 Our results show that while the lack of entropy does not appear to be as ubiquitous in the mobile markets as on Web-systems, there is substantial reuse of certificates only one third of the certificates in our dataset were unique. In other words, we find that organizations frequently reuse certificates for different applications. While such a practice is acceptable under Google's specifications for a single developer, we find that in some cases the same certificates are used for a myriad of developers, potentially compromising Android's intended trust relationships. Further, we observed duplicate certificates being used by both malicious and non-malicious applications. The top 3 repeated certificates present in our dataset accounted for a total of 11,438 separate APKs. Of these applications, 451, or roughly 4%, were identified as malicious by antivirus services.

BPcontrol

PubMed Central

Carrera, Adrián; Pifarré, Marc; Vilaplana, Jordi; Cuadrado, Josep; Solsona, Sara; Mateo, Jordi

2016-01-01

Summary Background Hypertension or high blood pressure is on the rise. Not only does it affect the elderly but is also increasingly spreading to younger sectors of the population. Treating this condition involves exhaustive monitoring of patients. The current mobile health services can be improved to perform this task more effectively. Objective To develop a useful, user-friendly, robust and efficient app, to monitor hypertensive patients and adapted to the particular requirements of hypertension. Methods This work presents BPcontrol, an Android and iOS app that allows hypertensive patients to communicate with their health-care centers, thus facilitating monitoring and diagnosis. Usability, robustness and efficiency factors for BPcontrol were evaluated for different devices and operating systems (Android, iOS and system-aware). Furthermore, its features were compared with other similar apps in the literature. Results BPcontrol is robust and user-friendly. The respective start-up efficiency of the Android and iOS versions of BPcontrol were 2.4 and 8.8 times faster than a system-aware app. Similar values were obtained for the communication efficiency (7.25 and 11.75 times faster for the Android and iOS respectively). When comparing plotting performance, BPcontrol was on average 2.25 times faster in the Android case. Most of the apps in the literature have no communication with a server, thus making it impossible to compare their performance with BPcontrol. Conclusions Its optimal design and the good behavior of its facilities make BPcontrol a very promising mobile app for monitoring hypertensive patients. PMID:27924346

A cross-sectional content analysis of Android applications for asthma.

PubMed

Househ, Mowafa; Hossain, Nassif; Jamal, Amr; Zakaria, Nasriah; Elmetwally, Ashraf; Alsalamah, Majid; Khalifa, Mohamed

2017-06-01

Providing patients opportunities for self-management and education about their disease, asthma applications designed for use on an Android operating system can have positive health outcomes across the range of demographics who use mHealth applications. This study provides a content analysis of freely available Google Android Platform Mobile Applications for Asthma. A list of applications was collected on 26 October 2014, using the search feature of the Google Play Android platform and using the words and phrases "Asthma," "Lung Function" and "Peak Flow." Each application was coded for its approach to asthma self-management, based on categories adapted by Huckvale et al., which are based on the Global Initiative for Asthma and the National Asthma Education and Prevention Program. The characteristics of the 15 asthma applications are described. Most of the asthma applications' primary function focused on patient self-monitoring and self-assessment. Using the HON Code, we found low health information quality across all asthma applications. Android asthma applications can have positive outcomes in helping patients as they provide opportunities for self-management and education about their disease. Future research should continue to monitor and evaluate the development and use of mHealth Asthma Applications. Based on these findings, and their indication of a gap in existing research, subsequent studies can continue to evaluate the development and use of mHealth Asthma Applications with increasing methodological consistency to improve the quality of in-app health information.

BPcontrol. A Mobile App to Monitor Hypertensive Patients.

PubMed

Carrera, Adrian; Pifarré, Marc; Vilaplana, Jordi; Cuadrado, Josep; Solsona, Sara; Mateo, Jordi; Solsona, Francesc

2016-12-07

Hypertension or high blood pressure is on the rise. Not only does it affect the elderly but is also increasingly spreading to younger sectors of the population. Treating this condition involves exhaustive monitoring of patients. The current mobile health services can be improved to perform this task more effectively. To develop a useful, user-friendly, robust and efficient app, to monitor hypertensive patients and adapted to the particular requirements of hypertension. This work presents BPcontrol, an Android and iOS app that allows hypertensive patients to communicate with their health-care centers, thus facilitating monitoring and diagnosis. Usability, robustness and efficiency factors for BPcontrol were evaluated for different devices and operating systems (Android, iOS and system-aware). Furthermore, its features were compared with other similar apps in the literature. BPcontrol is robust and user-friendly. The respective start-up efficiency of the Android and iOS versions of BPcontrol were 2.4 and 8.8 times faster than a system-aware app. Similar values were obtained for the communication efficiency (7.25 and 11.75 times faster for the Android and iOS respectively). When comparing plotting performance, BPcontrol was on average 2.25 times faster in the Android case. Most of the apps in the literature have no communication with a server, thus making it impossible to compare their performance with BPcontrol. Its optimal design and the good behavior of its facilities make BPcontrol a very promising mobile app for monitoring hypertensive patients.

Stressed hearts in children with obesity and diabetes: a cause for concern?

PubMed

Berry, C; Sattar, N

2011-04-01

Obesity in young people is an emerging public health problem, particularly because of its association with type 2 diabetes. Since obesity and diabetes contribute to the development of cardiovascular disease in adults, the question arises as to whether or not these conditions may be associated with cardiovascular abnormalities in children and adolescents. In this issue of Diabetologia, Shah et al. report the results of a cross-sectional study of heart structure and function in 612 adolescents and young adults (aged 10-24 years) subdivided into three groups: (1) those with obesity and type 2 diabetes; (2) those with type 2 diabetes but without obesity; and (3) lean healthy controls. Their results revealed that left ventricular mass (indexed to body surface area) was greater in the obese individuals than in lean controls. Left ventricular systolic function was more dynamic in obese participants and obese participants with type 2 diabetes compared with lean controls, whereas systolic function was comparable in obese patients with or without type 2 diabetes. Furthermore, compared with the healthy lean control participants, diastolic function was impaired in the obese group and further impaired in the obese individuals with diabetes. These results, and those of a few other similar studies, lend support to the notion that obesity and diabetes in children cause subtle abnormalities in cardiovascular structure and function. The present commentary discusses potential mechanisms and possible clinical ramifications for such findings.

[Carbohydrate metabolism disorders among obese children and adolescents. Diabetes mellitus type 2].

PubMed

Sergeyev, E; Wagner, I; Neef, M; Adler, M; Körner, A; Kiess, W

2013-04-01

As obesity has become more prevalent, the incidence of type 2 diabetes mellitus in children and adolescents has also increased. Obesity during adolescence leads to an increased risk for disease and premature death during adulthood, independent of obesity during adulthood. Obesity is the major risk factor impacting insulin sensitivity. Subjects with insulin resistance are at risk for progression to diabetes. Type 2 diabetes mellitus in obese children and adolescents is frequently asymptomatic. It is essential to identify children at high risk who need aggressive lifestyle modification focused on weight reduction and increased physical activity. Early detection and therapy of obese children and adolescents with type 2 diabetes may reduce the risk of cardiometabolic consequences and other long-term complications in adulthood.

Intelligent Shuttle Management and Routing Algorithm

NASA Astrophysics Data System (ADS)

Thomas, Toshen M.; Subashanthini, S.

2017-11-01

Nowadays, most of the big Universities and campuses have Shuttle cabs running in them to cater the transportational needs of the students and faculties. While some shuttle services ask for a meagre sum to be paid for the usage, no digital payment system is onboard these vehicles to go truly cashless. Even more troublesome is the fact that sometimes during the day, some of these cabs run with bare number of passengers, which can result in unwanted budget loss to the shuttle operator. The main purpose of this paper is to create a system with two types of applications: A web portal and an Android app, to digitize the Shuttle cab industry. This system can be used for digital cashless payment feature, tracking passengers, tracking cabs and more importantly, manage the number of shuttle cabs in every route to maximize profit. This project is built upon an ASP.NET website connected to a cloud service along with an Android app that tracks and reads the passengers ID using an attached barcode reader along with the current GPS coordinates, and sends these data to the cloud for processing using the phone’s internet connectivity.

Smartphone-based low light detection for bioluminescence application.

PubMed

Kim, Huisung; Jung, Youngkee; Doh, Iyll-Joon; Lozano-Mahecha, Roxana Andrea; Applegate, Bruce; Bae, Euiwon

2017-01-09

We report a smartphone-based device and associated imaging-processing algorithm to maximize the sensitivity of standard smartphone cameras, that can detect the presence of single-digit pW of radiant flux intensity. The proposed hardware and software, called bioluminescent-based analyte quantitation by smartphone (BAQS), provides an opportunity for onsite analysis and quantitation of luminescent signals from biological and non-biological sensing elements which emit photons in response to an analyte. A simple cradle that houses the smartphone, sample tube, and collection lens supports the measuring platform, while noise reduction by ensemble averaging simultaneously lowers the background and enhances the signal from emitted photons. Five different types of smartphones, both Android and iOS devices, were tested, and the top two candidates were used to evaluate luminescence from the bioluminescent reporter Pseudomonas fluorescens M3A. The best results were achieved by OnePlus One (android), which was able to detect luminescence from ~10 6  CFU/mL of the bio-reporter, which corresponds to ~10 7 photons/s with 180 seconds of integration time.

Smartphone-based low light detection for bioluminescence application

NASA Astrophysics Data System (ADS)

Kim, Huisung; Jung, Youngkee; Doh, Iyll-Joon; Lozano-Mahecha, Roxana Andrea; Applegate, Bruce; Bae, Euiwon

2017-01-01

We report a smartphone-based device and associated imaging-processing algorithm to maximize the sensitivity of standard smartphone cameras, that can detect the presence of single-digit pW of radiant flux intensity. The proposed hardware and software, called bioluminescent-based analyte quantitation by smartphone (BAQS), provides an opportunity for onsite analysis and quantitation of luminescent signals from biological and non-biological sensing elements which emit photons in response to an analyte. A simple cradle that houses the smartphone, sample tube, and collection lens supports the measuring platform, while noise reduction by ensemble averaging simultaneously lowers the background and enhances the signal from emitted photons. Five different types of smartphones, both Android and iOS devices, were tested, and the top two candidates were used to evaluate luminescence from the bioluminescent reporter Pseudomonas fluorescens M3A. The best results were achieved by OnePlus One (android), which was able to detect luminescence from ~106 CFU/mL of the bio-reporter, which corresponds to ~107 photons/s with 180 seconds of integration time.

Smartphone-based low light detection for bioluminescence application

PubMed Central

Kim, Huisung; Jung, Youngkee; Doh, Iyll-Joon; Lozano-Mahecha, Roxana Andrea; Applegate, Bruce; Bae, Euiwon

2017-01-01

We report a smartphone-based device and associated imaging-processing algorithm to maximize the sensitivity of standard smartphone cameras, that can detect the presence of single-digit pW of radiant flux intensity. The proposed hardware and software, called bioluminescent-based analyte quantitation by smartphone (BAQS), provides an opportunity for onsite analysis and quantitation of luminescent signals from biological and non-biological sensing elements which emit photons in response to an analyte. A simple cradle that houses the smartphone, sample tube, and collection lens supports the measuring platform, while noise reduction by ensemble averaging simultaneously lowers the background and enhances the signal from emitted photons. Five different types of smartphones, both Android and iOS devices, were tested, and the top two candidates were used to evaluate luminescence from the bioluminescent reporter Pseudomonas fluorescens M3A. The best results were achieved by OnePlus One (android), which was able to detect luminescence from ~106 CFU/mL of the bio-reporter, which corresponds to ~107 photons/s with 180 seconds of integration time. PMID:28067287

[Severe postmenopausal hyperandrogenism due to an ovarian lipoid cell tumor: a case report].

PubMed

Bernasconi, D; Del Monte, P; Marinaro, E; Marugo, A; Marugo, M

2004-03-01

The case of a 62-year-old woman with severe post-menopausal hirsutism is described. Her clinical history revealed regular menstrual periods until menopause at the age of 50, hysterectomy for fibromatosis at 58 years, non-insulin dependent diabetes mellitus, hypertension, obesity, severe hirsutism, which had developed in the previous 3 years, with a deeping of the voice. Examination showed android obesity, hypertension and severe hirsutism involving the face and the trunk. Endocrine evaluation pointed out regular adrenal function, serum total and free-testosterone in the adult male range, with normal androstenedione, DHEAS and 17OHP levels. Estradiol was slightly increased and LH and FSH were inappropriately low for her post-menopausal age. Computed tomography of the abdomen showed regular adrenal glands, and a radio-labeled cholesterol scan was negative. A further pelvic transvaginal ultrasonography revealed a small cystic formation near the right ovary and a slight increase in the size of the left ovary. The patient underwent bilateral ovariectomy. Histological examination showed a lipoid cell tumor within the left ovary. Immunohistochemical studies were positive for inhibin and cytokeratin. After surgery, serum testosterone fell to normal levels, gonadotropins increased to menopausal levels, confirming that the tumor was able to produce both LH, and FSH-inhibiting factors, and hirsutism greatly improved. Periodic hormonal tests remained normal and CT of the abdomen and pelvic ultrasonography did not show alterations at a 3 years follow-up.

General and abdominal fat outcomes in school-age children associated with infant breastfeeding patterns.

PubMed

Durmuş, Büşra; Heppe, Denise H M; Gishti, Olta; Manniesing, Rashindra; Abrahamse-Berkeveld, Marieke; van der Beek, Eline M; Hofman, Albert; Duijts, Liesbeth; Gaillard, Romy; Jaddoe, Vincent W V

2014-06-01

Breastfeeding may have a protective effect on the development of obesity in later life. Not much is known about the effects of infant feeding on more-specific fat measures. We examined associations of breastfeeding duration and exclusiveness and age at the introduction of solid foods with general and abdominal fat outcomes in children. We performed a population-based, prospective cohort study in 5063 children. Information about infant feeding was obtained by using questionnaires. At the median age of 6.0 y (95% range: 5.7 y, 6.8 y), we measured childhood anthropometric measures, total fat mass and the android:gynoid fat ratio by using dual-energy X-ray absorptiometry, and preperitoneal abdominal fat by using ultrasound. We observed that, in the models adjusted for child age, sex, and height only, a shorter breastfeeding duration, nonexclusive breastfeeding, and younger age at the introduction of solid foods were associated with higher childhood general and abdominal fat measures (P-trend < 0.05) but not with higher childhood body mass index. The introduction of solid foods at a younger age but not breastfeeding duration or exclusivity was associated with higher risk of overweight or obesity (OR: 2.05; 95% CI: 1.41, 2.90). After adjustment for family-based sociodemographic, maternal lifestyle, and childhood factors, the introduction of solid food between 4 and 4.9 mo of age was associated with higher risks of overweight or obesity, but the overall trend was not significant. Associations of infant breastfeeding and age at the introduction of solid foods with general and abdominal fat outcomes are explained by sociodemographic and lifestyle-related factors. Whether infant dietary composition affects specific fat outcomes at older ages should be further studied. © 2014 American Society for Nutrition.

The Intersection of Robust Intelligence and Trust: Hybrid Teams, Firms, and Systems

DTIC Science & Technology

2014-01-01

bites dogma: Apple’s iOS ate up Android, Blackberry U.S. market share losses this summer”; http://appleinsider.com/articles/13/10/05/data-bites-dogma...ios-ate-up-android- blackberry -us-market-share-losses-this- summer 9 Compare night satellite photos of the USA with Cuba; or South Korea with North

Development and Use of an EFL Reading Practice Application for an Android Tablet Computer

ERIC Educational Resources Information Center

Ishikawa, Yasushige; Smith, Craig; Kondo, Mutsumi; Akano, Ichiro; Maher, Kate; Wada, Norihisa

2014-01-01

This paper reports on the use of an English-language reading practice application for an Android tablet computer with students who are not native speakers of English. The application materials for vocabulary learning in reading-passage contexts were created to include words from a database of low-frequency and technical noun-verb collocations…

DARKDROID: Exposing the Dark Side of Android Marketplaces

DTIC Science & Technology

2016-06-01

Moreover, our approaches can detect apps containing both intentional and unintentional vulnerabilities, such as unsafe code loading mechanisms and...Security, Static Analysis, Dynamic Analysis, Malware Detection , Vulnerability Scanning 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT UU 18...applications in a DoD context. ................... 1 1.2.2 Develop sophisticated whole-system static analyses to detect malicious Android applications

"Sliders" Android Game - Improving Logical Skills of People with Disabilities.

PubMed

Guzsvinecz, Tibor; Koszegi-Vigh, David; Szucs, Veronika; Sik Lanyi, Cecilia

2017-01-01

Logic is part of our everyday life. However, there are some cases where people have difficulties using deductive reasoning. The aim of this work is to help people with mild intellectual disability or learning disability to learn the basis of logical thinking. We developed an application on Android operating system to improve logical thinking.

AdDroid: Privilege Separation for Applications and Advertisers in Android

DTIC Science & Technology

2013-05-14

integrates these three components into the Android Open Source Project, version 2.3.3 (Ginger- bread ). 4.1 AdDroid Library API The AdDroid userspace...AdPropert ies IAB MRECT public stat ic int NO REFRESH stat ic enum AdPropert ies . Al ign BOTTOM TOP UNSET Class AdRequest public AdRequest ( ) public

Secure Ad Hoc Networking on an Android Platform

DTIC Science & Technology

2014-05-01

Once the device is provisioned, connections can be initiated by tapping two devices together, this uses NFC to bootstrap a Bluetooth connection. Once...4 2.2 Residual Issues . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 3 Device Provisioning 5 3.1...the inclusion of SE Android’s Install-time Mandatory Access Control (MAC) feature. Some knowledge of Android is required to understand the system

Photogrammetric 3D reconstruction using mobile imaging

NASA Astrophysics Data System (ADS)

Fritsch, Dieter; Syll, Miguel

2015-03-01

In our paper we demonstrate the development of an Android Application (AndroidSfM) for photogrammetric 3D reconstruction that works on smartphones and tablets likewise. The photos are taken with mobile devices, and can thereafter directly be calibrated using standard calibration algorithms of photogrammetry and computer vision, on that device. Due to still limited computing resources on mobile devices, a client-server handshake using Dropbox transfers the photos to the sever to run AndroidSfM for the pose estimation of all photos by Structure-from-Motion and, thereafter, uses the oriented bunch of photos for dense point cloud estimation by dense image matching algorithms. The result is transferred back to the mobile device for visualization and ad-hoc on-screen measurements.

Instrumentation for laser physics and spectroscopy using 32-bit microcontrollers with an Android tablet interface

NASA Astrophysics Data System (ADS)

Eyler, E. E.

2013-10-01

Several high-performance lab instruments suitable for manual assembly have been developed using low-pin-count 32-bit microcontrollers that communicate with an Android tablet via a USB interface. A single Android tablet app accommodates multiple interface needs by uploading parameter lists and graphical data from the microcontrollers, which are themselves programmed with easily modified C code. The hardware design of the instruments emphasizes low chip counts and is highly modular, relying on small "daughter boards" for special functions such as USB power management, waveform generation, and phase-sensitive signal detection. In one example, a daughter board provides a complete waveform generator and direct digital synthesizer that fits on a 1.5 in. × 0.8 in. circuit card.

The effect of exercise on skeletal muscle fibre type distribution in obesity: From cellular levels to clinical application.

PubMed

Pattanakuhar, Sintip; Pongchaidecha, Anchalee; Chattipakorn, Nipon; Chattipakorn, Siriporn C

Skeletal muscles play important roles in metabolism, energy expenditure, physical strength, and locomotive activity. Skeletal muscle fibre types in the body are heterogeneous. They can be classified as oxidative types and glycolytic types with oxidative-type are fatigue-resistant and use oxidative metabolism, while fibres with glycolytic-type are fatigue-sensitive and prefer glycolytic metabolism. Several studies demonstrated that an obese condition with abnormal metabolic parameters has been negatively correlated with the distribution of oxidative-type skeletal muscle fibres, but positively associated with that of glycolytic-type muscle fibres. However, some studies demonstrated otherwise. In addition, several studies demonstrated that an exercise training programme caused the redistribution of oxidative-type skeletal muscle fibres in obesity. In contrast, some studies showed inconsistent findings. Therefore, the present review comprehensively summarizes and discusses those consistent and inconsistent findings from clinical studies, regarding the association among the distribution of skeletal muscle fibre types, obese condition, and exercise training programmes. Furthermore, the possible underlying mechanisms and clinical application of the alterations in muscle fibre type following obesity are presented and discussed. Copyright © 2016 Asia Oceania Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.

Quality of Mobile Phone and Tablet Mobile Apps for Speech Sound Disorders: Protocol for an Evidence-Based Appraisal

PubMed Central

Morris, Meg E; Erickson, Shane; Serry, Tanya A

2016-01-01

Background Although mobile apps are readily available for speech sound disorders (SSD), their validity has not been systematically evaluated. This evidence-based appraisal will critically review and synthesize current evidence on available therapy apps for use by children with SSD. Objective The main aims are to (1) identify the types of apps currently available for Android and iOS mobile phones and tablets, and (2) to critique their design features and content using a structured quality appraisal tool. Methods This protocol paper presents and justifies the methods used for a systematic review of mobile apps that provide intervention for use by children with SSD. The primary outcomes of interest are (1) engagement, (2) functionality, (3) aesthetics, (4) information quality, (5) subjective quality, and (6) perceived impact. Quality will be assessed by 2 certified practicing speech-language pathologists using a structured quality appraisal tool. Two app stores will be searched from the 2 largest operating platforms, Android and iOS. Systematic methods of knowledge synthesis shall include searching the app stores using a defined procedure, data extraction, and quality analysis. Results This search strategy shall enable us to determine how many SSD apps are available for Android and for iOS compatible mobile phones and tablets. It shall also identify the regions of the world responsible for the apps’ development, the content and the quality of offerings. Recommendations will be made for speech-language pathologists seeking to use mobile apps in their clinical practice. Conclusions This protocol provides a structured process for locating apps and appraising the quality, as the basis for evaluating their use in speech pathology for children in English-speaking nations. PMID:27899341

Quality of Mobile Phone and Tablet Mobile Apps for Speech Sound Disorders: Protocol for an Evidence-Based Appraisal.

PubMed

Furlong, Lisa M; Morris, Meg E; Erickson, Shane; Serry, Tanya A

2016-11-29

Although mobile apps are readily available for speech sound disorders (SSD), their validity has not been systematically evaluated. This evidence-based appraisal will critically review and synthesize current evidence on available therapy apps for use by children with SSD. The main aims are to (1) identify the types of apps currently available for Android and iOS mobile phones and tablets, and (2) to critique their design features and content using a structured quality appraisal tool. This protocol paper presents and justifies the methods used for a systematic review of mobile apps that provide intervention for use by children with SSD. The primary outcomes of interest are (1) engagement, (2) functionality, (3) aesthetics, (4) information quality, (5) subjective quality, and (6) perceived impact. Quality will be assessed by 2 certified practicing speech-language pathologists using a structured quality appraisal tool. Two app stores will be searched from the 2 largest operating platforms, Android and iOS. Systematic methods of knowledge synthesis shall include searching the app stores using a defined procedure, data extraction, and quality analysis. This search strategy shall enable us to determine how many SSD apps are available for Android and for iOS compatible mobile phones and tablets. It shall also identify the regions of the world responsible for the apps' development, the content and the quality of offerings. Recommendations will be made for speech-language pathologists seeking to use mobile apps in their clinical practice. This protocol provides a structured process for locating apps and appraising the quality, as the basis for evaluating their use in speech pathology for children in English-speaking nations. ©Lisa M Furlong, Meg E Morris, Shane Erickson, Tanya A Serry. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 29.11.2016.

Obesity and health expenditures: evidence from Australia.

PubMed

Buchmueller, Thomas C; Johar, Meliyanni

2015-04-01

Rising rates of obesity are a public health concern in every industrialized country. This study investigates the relationship between obesity and health care expenditure in Australia, where the rate of obesity has tripled in the last three decades. Now one in four Australians is considered obese, defined as having a body mass index (BMI, kg/m(2)) of 30 or over. The analysis is based on a random sample survey of over 240,000 adults aged 45 and over that is linked at the individual-level to comprehensive administrative health care claims for the period 2006-2009. This sub-population group has an obesity rate that is nearly 30% and is a major consumer of health services. Relative to the average annual health expenditures of those with normal weight, we find that the health expenditures of those with a BMI between 30 and 35 (obese type I) are 19% higher and expenditures of those with BMI greater than 35 (obese type II/III) are 51% higher. We find large and significant differences in all types of care: inpatient, emergency department, outpatient and prescription drugs. The obesity-related health expenditures are higher for obese type I women than men, but in the obese type II/III state, obesity-related expenditures are higher for men. When we stratify further by age groups, we find that obesity has the largest impact among men over age 75 and women aged 60-74 years old. In addition, we find that obesity impacts health expenditures not only through its link to chronic diseases, but also because it increases the cost of recovery from acute health shocks. Copyright © 2015 Elsevier B.V. All rights reserved.

Fat content in individual muscle fibers of lean and obese subjects.

PubMed

Malenfant, P; Joanisse, D R; Thériault, R; Goodpaster, B H; Kelley, D E; Simoneau, J A

2001-09-01

To examine skeletal muscle intracellular triglyceride concentration in different fiber types in relation to obesity. Skeletal muscle fiber type distribution and intracellular lipid content were measured in vastus lateralis samples obtained by needle biopsy from lean and obese individuals. Seven lean controls (body mass index (BMI) 23.0+/-3.3 kg/m(2); mean+/-s.d.) and 14 obese (BMI 33.7+/-2.7 kg/m(2)) individuals; both groups included comparable proportions of men and women. Samples were histochemically stained for the identification of muscle fiber types (myosin ATPase) and intracellular lipid aggregates (oil red O dye). The number and size of fat aggregates as well as their concentration within type I, IIA and IIB muscle fiber types were measured. The cellular distribution of the lipid aggregates was also examined. The size of fat aggregates was not affected by obesity but the number of lipid droplets within muscle fibers was twice as abundant in obese compared to lean individuals. This was seen in type I (298+/-135 vs 129+/-75; obese vs lean, P<0.05), IIA (132+/-67 vs 79+/-29; P<0.05), and IIB (103+/-63 vs 51+/-13; P<0.05) muscle fibers. A more central distribution of lipid droplets was observed in muscle fibers of obese compared to lean subjects (27.2+/-5.7 vs 19.7+/-6.4%; P<0.05). The higher number of lipid aggregates and the disposition to a greater central distribution in all fiber types in obesity indicate important changes in lipid metabolism and/or storage that are fiber type-independent.

Virtual Physics Laboratory Application Based on the Android Smartphone to Improve Learning Independence and Conceptual Understanding

ERIC Educational Resources Information Center

Arista, Fitra Suci; Kuswanto, Heru

2018-01-01

The research study concerned here was to: (1) produce a virtual physics laboratory application to be called ViPhyLab by using the Android smartphone as basis; (2) determine the appropriateness and quality of the virtual physics laboratory application that had been developed; and (3) describe the improvement in learning independence and conceptual…

Development and Use of an EFL Reading Practice Application for an Android Tablet Computer

ERIC Educational Resources Information Center

Ishikawa, Yasushige; Smith, Craig; Kondo, Mutsumi; Akano, Ichiro; Maher, Kate; Wada, Norihisa

2013-01-01

This paper reports on the use of an English-language reading practice application for an android tablet computer operating system with students who are not native speakers of English. The application materials for vocabulary learning in reading-passage contexts were created to include words from a database of low-frequency and technical noun-verb…

Analysis of Android Device-Based Solutions for Fall Detection

PubMed Central

Casilari, Eduardo; Luque, Rafael; Morón, María-José

2015-01-01

Falls are a major cause of health and psychological problems as well as hospitalization costs among older adults. Thus, the investigation on automatic Fall Detection Systems (FDSs) has received special attention from the research community during the last decade. In this area, the widespread popularity, decreasing price, computing capabilities, built-in sensors and multiplicity of wireless interfaces of Android-based devices (especially smartphones) have fostered the adoption of this technology to deploy wearable and inexpensive architectures for fall detection. This paper presents a critical and thorough analysis of those existing fall detection systems that are based on Android devices. The review systematically classifies and compares the proposals of the literature taking into account different criteria such as the system architecture, the employed sensors, the detection algorithm or the response in case of a fall alarms. The study emphasizes the analysis of the evaluation methods that are employed to assess the effectiveness of the detection process. The review reveals the complete lack of a reference framework to validate and compare the proposals. In addition, the study also shows that most research works do not evaluate the actual applicability of the Android devices (with limited battery and computing resources) to fall detection solutions. PMID:26213928

Mobile PHRs compliance with Android and iOS usability guidelines.

PubMed

Cruz Zapata, Belén; Hernández Niñirola, Antonio; Idri, Ali; Fernández-Alemán, José Luis; Toval, Ambrosio

2014-08-01

Mobile Personal Health Records (PHRs) have achieved a particularly strong market share since the appearance of more powerful mobile devices and popular worldwide mobile application markets such as Apple's App Store and Android's Google Play. However, Android and Apple have a set of recommendations on design and usability targeted towards developers who wish to publish apps in their stores: Android Design Guidelines and iOS Human Interface Guidelines. This paper aims to evaluate compliance with these guidelines by assessing the usability recommendations of a set of 24 selected mobile PHR applications. An analysis process based on a well-known Systematic Literature Review (SLR) protocol was used. The results show that the 24 mobile PHR applications studied are not suitably structured. 46 % of these applications do not use any of the recommended patterns, using instead lists or springboards, which are deprecated patterns for top-level menus. 70 % of the PHRs require a registration to be able to test the application when these interactions should be delayed. Our study will help both PHR users to select user-friendly mobile PHRs and PHR providers and developers to identify the good usability practices implemented by the applications with the highest scores.

Analysis of Android Device-Based Solutions for Fall Detection.

PubMed

Casilari, Eduardo; Luque, Rafael; Morón, María-José

2015-07-23

Falls are a major cause of health and psychological problems as well as hospitalization costs among older adults. Thus, the investigation on automatic Fall Detection Systems (FDSs) has received special attention from the research community during the last decade. In this area, the widespread popularity, decreasing price, computing capabilities, built-in sensors and multiplicity of wireless interfaces of Android-based devices (especially smartphones) have fostered the adoption of this technology to deploy wearable and inexpensive architectures for fall detection. This paper presents a critical and thorough analysis of those existing fall detection systems that are based on Android devices. The review systematically classifies and compares the proposals of the literature taking into account different criteria such as the system architecture, the employed sensors, the detection algorithm or the response in case of a fall alarms. The study emphasizes the analysis of the evaluation methods that are employed to assess the effectiveness of the detection process. The review reveals the complete lack of a reference framework to validate and compare the proposals. In addition, the study also shows that most research works do not evaluate the actual applicability of the Android devices (with limited battery and computing resources) to fall detection solutions.

Prevalence of overweight and obesity among type 2 diabetic patients attending diabetes clinics in northern Tanzania.

PubMed

Damian, Damian J; Kimaro, Kelvin; Mselle, Godwin; Kaaya, Rose; Lyaruu, Isaac

2017-10-26

To determine the prevalence of overweight and obesity among patients with type 2 diabetes who are attending diabetes clinics in northern Tanzania. In total 227 type 2 diabetic patients attending diabetes clinics were enrolled. Majority of patients 193 (85.0%) were overweight (44.9%) or obese (40.1%). Of them, 65 (33.7%) were overweight/obese after diagnosis of type 2 diabetes. The prevalence of overweight/obesity was significantly higher in female participants than the males [92.2% vs. 69.2%; OR = 5.10; 95% CI 2.22-11.05]. Regarding the region of residence, Kilimanjaro (100.0%) and Arusha (89.8%) regions had significantly highest prevalence of overweight/obesity compared to Tanga region (69.2%) [χ 2  = 32.455, P < 0.001].

Evaluation of Human Adipose Tissue Stromal Heterogeneity in Metabolic Disease Using Single Cell RNA-Seq

DTIC Science & Technology

2017-09-01

1) define functional roles for individual genes and cell types in development of obesity and insulin resistance and 2) examine novel targets against...which we can design therapies to target specific pathogenic or or health-promoting cell types. 15. SUBJECT TERMS Obesity , Type 2 Diabetes Mellitus...compromised with chronic overnutrition ( obesity ). 4 KEYWORDS: Obesity , Diabetes, Insulin Resistance, Adipose, Adipocytes, Stromal Vascular Fraction, Single

Excess health care costs of obesity in adults with diabetes mellitus: a claims data analysis.

PubMed

von Lengerke, T; Hagenmeyer, E-G; Gothe, H; Schiffhorst, G; Happich, M; Häussler, B

2010-08-01

Body weight management is a key factor in diabetes mellitus. However, both behavioral and pharmacological innovations to manage obesity may imply additional costs. In order to provide further insights into the role of obesity in diabetes-associated resource consumption, this study aims to estimate incremental costs of concomitant obesity in German adult patients (≥ 18 years) with different types of diabetes. Adopting a third-party payer perspective, claims data from a German statutory sickness fund (N=1,094,496) were analyzed for costs of annual drug prescriptions and out- and inpatient care in adult beneficiaries with diabetes in 2004. Using diagnostic information, 37,570 beneficiaries with diabetes were identified. Concomitant obesity was assessed by ICD-10-codes (E66) in the claims data. Adjusting for sex, age, and micro- and macro-vascular complications, one generalized gamma regression model with the log link was performed for type 2 diabetes patients (N=24,562), type 1 diabetes patients (N=5,663), and an unclassified group (N=7,345), respectively. Overall, 33% of the patients with diabetes were identified as obese (type 2 diabetes: 34%, type 1 diabetes: 20%, unclassified: 38%). Affirming descriptive analyses, the generalized gamma regression models revealed that obesity is associated with significant increments in health care costs regardless of type of diabetes (type 2 diabetes: € 454, type 1 diabetes: € 812, unclassified: € 532). The interaction of obesity and macro-vascular complications was numerically stronger in type 1 than in type 2 diabetes but reached statistical significance only in type 2 diabetes (and the unclassified group). Moreover, concurrent macro- and micro-vascular complications were associated with higher incremental costs in all groups. Concomitant obesity is independently associated with incremental health care costs in adult patients with type 2 diabetes and, even more so, type 1 diabetes. Results are discussed with respect to the fact that in this sample, concurrent micro- and macro-vascular complications were more frequent in type 1 diabetes. At any rate, in light of these health care costs, obesity seems relevant in both types of diabetes. Due to claims data limitations, it was not possible to distinguish obesity classes based on body height and weight information. Further research should identify adiposity thresholds for increased resource consumption using both primary and secondary data. © J. A. Barth Verlag in Georg Thieme Verlag KG Stuttgart · New York.

The current prevalence and regional disparities in general and central obesity among children and adolescents in Shandong, China.

PubMed

Zhang, Ying-Xiu; Wang, Zhao-Xia; Zhao, Jin-Shan; Chu, Zun-Hua

2017-01-15

Childhood obesity has increased dramatically during the past decades, both in developing and developed countries. The present study examined the prevalence and regional disparities in general and central obesity among children and adolescents in Shandong, China. A total of 30,459 students (15,249 boys and 15,210 girls) aged 7-18years participated in the study. Height, weight and waist circumference (WC) of all subjects were measured, body mass index (BMI) and waist-to-height ratio (WHtR) were calculated. The BMI cutoff points recommended by the International Obesity Task Force (IOTF) were used to define general obesity. Central obesity was defined as WHtR≥0.5. Both BMI and WHtR were used to define three types of obesity as follows: general obesity only, central obesity only and combined obesity. The overall prevalences of general obesity only, central obesity only and combined obesity were 10.99, 8.47 and 8.70% for boys and 9.47, 5.12 and 3.19% for girls, respectively. The sum of the prevalence of the three types of obesity was 28.16% for boys and 17.78% for girls, boys had higher prevalence of obesity than girls (P<0.01). Substantial urban-rural and regional disparities exist in childhood obesity, children and adolescents from urban, coastal and high socioeconomic status (SES) districts showed a higher prevalence of obesity than their counterparts from rural, inland and low SES districts (P<0.01). The widespread prevalence of obesity in children and adolescents has become an important public health concern. Results from this study also suggested that the additional measurement of WC (WHtR) is better than BMI alone to identify obese individuals, distinguishing the types of obesity and examining the prevalence of various types of obesity is useful in practice. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Develop applications based on android: Teacher Engagement Control of Health (TECH)

NASA Astrophysics Data System (ADS)

Sasmoko; Manalu, S. R.; Widhoyoko, S. A.; Indrianti, Y.; Suparto

2018-03-01

Physical and psychological condition of teachers is very important because it helped determine the realization of a positive school climate and productive so that they can run their profession optimally. This research is an advanced research on the design of ITEI application that able to see the profile of teacher’s engagement in Indonesia and to optimize the condition is needed an application that can detect the health of teachers both physically and psychologically. The research method used is the neuroresearch method combined with the development of IT system design for TECH which includes server design, database and android TECH application display. The study yielded 1) mental health benchmarks, 2) physical health benchmarks, and 3) the design of Android Application for Teacher Engagement Control of Health (TECH).

Using Android-Based Educational Game for Learning Colloid Material

NASA Astrophysics Data System (ADS)

Sari, S.; Anjani, R.; Farida, I.; Ramdhani, M. A.

2017-09-01

This research is based on the importance of the development of student’s chemical literacy on Colloid material using Android-based educational game media. Educational game products are developed through research and development design. In the analysis phase, material analysis is performed to generate concept maps, determine chemical literacy indicators, game strategies and set game paths. In the design phase, product packaging is carried out, then validation and feasibility test are performed. Research produces educational game based on Android that has the characteristics that is: Colloid material presented in 12 levels of game in the form of questions and challenges, presents visualization of discourse, images and animation contextually to develop the process of thinking and attitude. Based on the analysis of validation and trial results, the product is considered feasible to use.

System Engineering Concept Demonstration, Technology Assessments. Volume 5

DTIC Science & Technology

1992-12-01

MacUser Editor’s Choice Award for the most significant hardware/software product for the Macintosh for the year. Ivan Mimica, founder and CEO of...industry has typed for decades, the devices that are really, to borrow the phrase Apple computer founder Steve Jobs, "the computer for the rest of us.ŕ...43. 3 Ibid. 4 Ibid. 76 android is also displayed, indicating to the group that Liza is participating."’ Liza represents a set of rules that are active

Meta-analysis on shift work and risks of specific obesity types.

PubMed

Sun, M; Feng, W; Wang, F; Li, P; Li, Z; Li, M; Tse, G; Vlaanderen, J; Vermeulen, R; Tse, L A

2018-01-01

This systematic review and meta-analysis evaluated the associations between shift work patterns and risks of specific types of obesity. PubMed was searched until March 2017 for observational studies that examined the relationships between shift work patterns and obesity. Odds ratio for obesity was extracted using a fixed-effects or random-effects model. Subgroup meta-analyses were carried out for study design, specific obesity types and characteristics of shift work pattern. A total of 28 studies were included in this meta-analysis. The overall odds ratio of night shift work was 1.23 (95% confidence interval = 1.17-1.29) for risk of obesity/overweight. Cross-sectional studies showed a higher risk of 1.26 than those with the cohort design (risk ratio = 1.10). Shift workers had a higher frequency of developing abdominal obesity (odds ratio = 1.35) than other obesity types. Permanent night workers demonstrated a 29% higher risk than rotating shift workers (odds ratio 1.43 vs. 1.14). This meta-analysis confirmed the risks of night shift work for the development of overweight and obesity with a potential gradient association suggested, especially for abdominal obesity. Modification of working schedules is recommended, particularly for prolonged permanent night work. More accurate and detailed measurements on shift work patterns should be conducted in future research. © 2017 World Obesity Federation.

Validity of "Hi_Science" as instructional media based-android refer to experiential learning model

NASA Astrophysics Data System (ADS)

Qamariah, Jumadi, Senam, Wilujeng, Insih

2017-08-01

Hi_Science is instructional media based-android in learning science on material environmental pollution and global warming. This study is aimed: (a) to show the display of Hi_Science that will be applied in Junior High School, and (b) to describe the validity of Hi_Science. Hi_Science as instructional media created with colaboration of innovative learning model and development of technology at the current time. Learning media selected is based-android and collaborated with experiential learning model as an innovative learning model. Hi_Science had adapted student worksheet by Taufiq (2015). Student worksheet had very good category by two expert lecturers and two science teachers (Taufik, 2015). This student worksheet is refined and redeveloped in android as an instructional media which can be used by students for learning science not only in the classroom, but also at home. Therefore, student worksheet which has become instructional media based-android must be validated again. Hi_Science has been validated by two experts. The validation is based on assessment of meterials aspects and media aspects. The data collection was done by media assessment instrument. The result showed the assessment of material aspects has obtained the average value 4,72 with percentage of agreement 96,47%, that means Hi_Science on the material aspects is in excellent category or very valid category. The assessment of media aspects has obtained the average value 4,53 with percentage of agreement 98,70%, that means Hi_Science on the media aspects is in excellent category or very valid category. It was concluded that Hi_Science as instructional media can be applied in the junior high school.

Design and Implementation of Vehicle Navigation System in Urban Environments using Internet of Things (Iot)

NASA Astrophysics Data System (ADS)

Godavarthi, Bhavana; Nalajala, Paparao; Ganapuram, Vasavi

2017-08-01

Advanced vehicle monitoring and tracking system based on embedded Linux board and android application is designed and implemented for monitoring the school vehicle from any location A to location B at real time. The present system would make good use of new technology that based on embedded Linux namely Raspberry Pi and Smartphone android application. This system works on GPS/GPRS/GSM SIM900A. GPS finds the current location of the vehicle, GPRS sends the tracking information to the server and the GSM is used for sending alert message to vehicle’s owner mobile. This system is placed inside the vehicle whose position is to be determined on the web page and monitored at real time. There is a comparison between the current vehicle path already specified paths into the file system. Inside the raspberry pi’s file system taken from vehicle owners through android phone using android application. Means the selection of path from location A to B takes place from vehicle owner’s android application which gives more safety and secures traveling to the traveler. Hence the driver drives the vehicle only on the vehicle owner’s specified path. The driver drives the vehicle only on the vehicle owner’s specified path but if the driver drives in wrong path the message alert will be sent from this system to the vehicle owners mobile and also sent speakers alert to driver through audio jack. If the vehicles speed goes beyond the specified value of the speed, then warning message will be sent to owner mobile. This system also takes care of the traveler’s safety by using Gas leakage and Temperature sensors

Validity and intra-rater reliability of an android phone application to measure cervical range-of-motion.

PubMed

Quek, June; Brauer, Sandra G; Treleaven, Julia; Pua, Yong-Hao; Mentiplay, Benjamin; Clark, Ross Allan

2014-04-17

Concurrent validity and intra-rater reliability using a customized Android phone application to measure cervical-spine range-of-motion (ROM) has not been previously validated against a gold-standard three-dimensional motion analysis (3DMA) system. Twenty-one healthy individuals (age:31 ± 9.1 years, male:11) participated, with 16 re-examined for intra-rater reliability 1-7 days later. An Android phone was fixed on a helmet, which was then securely fastened on the participant's head. Cervical-spine ROM in flexion, extension, lateral flexion and rotation were performed in sitting with concurrent measurements obtained from both a 3DMA system and the phone.The phone demonstrated moderate to excellent (ICC = 0.53-0.98, Spearman ρ = 0.52-0.98) concurrent validity for ROM measurements in cervical flexion, extension, lateral-flexion and rotation. However, cervical rotation demonstrated both proportional and fixed bias. Excellent intra-rater reliability was demonstrated for cervical flexion, extension and lateral flexion (ICC = 0.82-0.90), but poor for right- and left-rotation (ICC = 0.05-0.33) using the phone. Possible reasons for the outcome are that flexion, extension and lateral-flexion measurements are detected by gravity-dependent accelerometers while rotation measurements are detected by the magnetometer which can be adversely affected by surrounding magnetic fields. The results of this study demonstrate that the tested Android phone application is valid and reliable to measure ROM of the cervical-spine in flexion, extension and lateral-flexion but not in rotation likely due to magnetic interference. The clinical implication of this study is that therapists should be mindful of the plane of measurement when using the Android phone to measure ROM of the cervical-spine.

Validity and intra-rater reliability of an Android phone application to measure cervical range-of-motion

PubMed Central

2014-01-01

Background Concurrent validity and intra-rater reliability using a customized Android phone application to measure cervical-spine range-of-motion (ROM) has not been previously validated against a gold-standard three-dimensional motion analysis (3DMA) system. Findings Twenty-one healthy individuals (age:31 ± 9.1 years, male:11) participated, with 16 re-examined for intra-rater reliability 1–7 days later. An Android phone was fixed on a helmet, which was then securely fastened on the participant’s head. Cervical-spine ROM in flexion, extension, lateral flexion and rotation were performed in sitting with concurrent measurements obtained from both a 3DMA system and the phone. The phone demonstrated moderate to excellent (ICC = 0.53-0.98, Spearman ρ = 0.52-0.98) concurrent validity for ROM measurements in cervical flexion, extension, lateral-flexion and rotation. However, cervical rotation demonstrated both proportional and fixed bias. Excellent intra-rater reliability was demonstrated for cervical flexion, extension and lateral flexion (ICC = 0.82-0.90), but poor for right- and left-rotation (ICC = 0.05-0.33) using the phone. Possible reasons for the outcome are that flexion, extension and lateral-flexion measurements are detected by gravity-dependent accelerometers while rotation measurements are detected by the magnetometer which can be adversely affected by surrounding magnetic fields. Conclusion The results of this study demonstrate that the tested Android phone application is valid and reliable to measure ROM of the cervical-spine in flexion, extension and lateral-flexion but not in rotation likely due to magnetic interference. The clinical implication of this study is that therapists should be mindful of the plane of measurement when using the Android phone to measure ROM of the cervical-spine. PMID:24742001

Tools for Large-Scale Mobile Malware Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bierma, Michael

Analyzing mobile applications for malicious behavior is an important area of re- search, and is made di cult, in part, by the increasingly large number of appli- cations available for the major operating systems. There are currently over 1.2 million apps available in both the Google Play and Apple App stores (the respec- tive o cial marketplaces for the Android and iOS operating systems)[1, 2]. Our research provides two large-scale analysis tools to aid in the detection and analysis of mobile malware. The rst tool we present, Andlantis, is a scalable dynamic analysis system capa- ble of processing over 3000more » Android applications per hour. Traditionally, Android dynamic analysis techniques have been relatively limited in scale due to the compu- tational resources required to emulate the full Android system to achieve accurate execution. Andlantis is the most scalable Android dynamic analysis framework to date, and is able to collect valuable forensic data, which helps reverse-engineers and malware researchers identify and understand anomalous application behavior. We discuss the results of running 1261 malware samples through the system, and provide examples of malware analysis performed with the resulting data. While techniques exist to perform static analysis on a large number of appli- cations, large-scale analysis of iOS applications has been relatively small scale due to the closed nature of the iOS ecosystem, and the di culty of acquiring appli- cations for analysis. The second tool we present, iClone, addresses the challenges associated with iOS research in order to detect application clones within a dataset of over 20,000 iOS applications.« less

Prediction of android and gynoid body adiposity via a three-dimensional stereovision body imaging system and dual-energy x-ray absorptiometry

PubMed Central

Lee, Jane J.; Freeland-Graves, Jeanne H.; Pepper, M. Reese; Stanforth, Philip R.; Xu, Bugao

2017-01-01

Objective Current methods for measuring regional body fat are expensive and inconvenient compared to the relative cost-effectiveness and ease-of-use of a stereovision body imaging (SBI) system. The primary goal of this research is to develop prediction models for android and gynoid fat by body measurements assessed via SBI and dual-energy x-ray absorptiometry (DXA). Subsequently, mathematical equations for prediction of total and regional (trunk, leg) body adiposity were established via parameters measured by SBI and DXA. Methods A total of 121 participants were randomly assigned into primary and cross-validation groups. Body measurements were obtained via traditional anthropometrics, SBI, and DXA. Multiple regression analysis was conducted to develop mathematical equations by demographics and SBI assessed body measurements as independent variables and body adiposity (fat mass and percent fat) as dependent variables. The validity of the prediction models was evaluated by a split sample method and Bland-Altman analysis. Results The R2 of the prediction equations for fat mass and percent body fat were 93.2% and 76.4% for android, and 91.4% and 66.5% for gynoid, respectively. The limits of agreement for the fat mass and percent fat were − 0.06 ± 0.87 kg and − 0.11 ± 1.97 % for android and − 0.04 ± 1.58 kg and − 0.19 ± 4.27 % for gynoid. Prediction values for fat mass and percent fat were 94.6% and 88.9% for total body, 93.9% and 71.0% for trunk, and 92.4% and 64.1% for leg, respectively. Conclusions The three-dimensional (3D) SBI produces reliable parameters that can predict android and gynoid, as well as total and regional (trunk, leg) fat mass. PMID:25915106

Prediction of Android and Gynoid Body Adiposity via a Three-dimensional Stereovision Body Imaging System and Dual-Energy X-ray Absorptiometry.

PubMed

Lee, Jane J; Freeland-Graves, Jeanne H; Pepper, M Reese; Stanforth, Philip R; Xu, Bugao

2015-01-01

Current methods for measuring regional body fat are expensive and inconvenient compared to the relative cost-effectiveness and ease of use of a stereovision body imaging (SBI) system. The primary goal of this research is to develop prediction models for android and gynoid fat by body measurements assessed via SBI and dual-energy x-ray absorptiometry (DXA). Subsequently, mathematical equations for prediction of total and regional (trunk, leg) body adiposity were established via parameters measured by SBI and DXA. A total of 121 participants were randomly assigned into primary and cross-validation groups. Body measurements were obtained via traditional anthropometrics, SBI, and DXA. Multiple regression analysis was conducted to develop mathematical equations by demographics and SBI assessed body measurements as independent variables and body adiposity (fat mass and percentage fat) as dependent variables. The validity of the prediction models was evaluated by a split sample method and Bland-Altman analysis. The R(2) of the prediction equations for fat mass and percentage body fat were 93.2% and 76.4% for android and 91.4% and 66.5% for gynoid, respectively. The limits of agreement for the fat mass and percentage fat were -0.06 ± 0.87 kg and -0.11% ± 1.97% for android and -0.04 ± 1.58 kg and -0.19% ± 4.27% for gynoid. Prediction values for fat mass and percentage fat were 94.6% and 88.9% for total body, 93.9% and 71.0% for trunk, and 92.4% and 64.1% for leg, respectively. The three-dimensional (3D) SBI produces reliable parameters that can predict android and gynoid as well as total and regional (trunk, leg) fat mass.

[New markers of progression of chronic heart failure in patients with myocardial infarction, type 2 diabetes and obesity].

PubMed

Kravchun, P P; Kadykova, O I; Gabisonia, T N

2015-01-01

Currently identified a large number of biomarkers that are closely linked with the development of chronic heart failure, some of which are clusterin and fractalkine. Accordingly, the purpose of our study was - to evaluate the role of clusterin and fractalkine in progression of chronic heart failure in patients with postinfarction cardiosclerosis, type 2 diabetes and obesity. We investigated 71 patients with postinfarction cardiosclerosis, type 2 diabetes and obesity. All patients with postinfarction cardiosclerosis, diabetes and obesity were divided into groups according to the functional class of chronic heart failure (CHF). It was found that an increase the level of fractalkine and reduced clusterin leads due to the development of systolic dysfunction and heart failure progression in patients with postinfarction cardiosclerosis, type 2 diabetes and obesity. Fractalkine and clusterin play an important role in progression of the heart failure in patients with postinfarction cardiosclerosis, type 2 diabetes and obesity, and this gives them the right to be considered indicators of the severity of CHF.

Leptin deficiency-induced obesity exacerbates ultraviolet B radiation-induced cyclooxygenase-2 expression and cell survival signals in ultraviolet B-irradiated mouse skin

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sharma, Som D.; Katiyar, Santosh K., E-mail: skatiyar@uab.ed; Department of Dermatology, University of Alabama at Birmingham, Birmingham, AL 35294

Obesity has been implicated in several inflammatory diseases and in different types of cancer. Chronic inflammation induced by exposure to ultraviolet (UV) radiation has been implicated in various skin diseases, including melanoma and nonmelanoma skin cancers. As the relationship between obesity and susceptibility to UV radiation-caused inflammation is not clearly understood, we assessed the role of obesity on UVB-induced inflammation, and mediators of this inflammatory response, using the genetically obese (leptin-deficient) mouse model. Leptin-deficient obese (ob/ob) mice and wild-type counterparts (C57/BL6 mice) were exposed to UVB radiation (120 mJ/cm{sup 2}) on alternate days for 1 month. The mice were thenmore » euthanized and skin samples collected for analysis of biomarkers of inflammatory responses using immunohistochemistry, western blotting, ELISA and real-time PCR. Here, we report that the levels of inflammatory responses were higher in the UVB-exposed skin of the ob/ob obese mice than those in the UVB-exposed skin of the wild-type non-obese mice. The levels of UVB-induced cyclooxygenase-2 expression, prostaglandin-E{sub 2} production, proinflammatory cytokines (i.e., tumor necrosis factor-alpha, interleukin-1beta, interleukin-6), and proliferating cell nuclear antigen and cell survival signals (phosphatidylinositol-3-kinase and p-Akt-Ser{sup 473}) were higher in the skin of the ob/ob obese mice than the those in skin of their wild-type non-obese counterparts. Compared with the wild-type non-obese mice, the leptin-deficient obese mice also exhibited greater activation of NF-kappaB/p65 and fewer apoptotic cells in the UVB-irradiated skin. Our study suggests for the first time that obesity in mice is associated with greater susceptibility to UVB-induced inflammatory responses and, therefore, obesity may increase susceptibility to UVB-induced inflammation-associated skin diseases, including the risk of skin cancer.« less

Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review.

PubMed

Singh, Karandeep; Drouin, Kaitlin; Newmark, Lisa P; Filkins, Malina; Silvers, Elizabeth; Bain, Paul A; Zulman, Donna M; Lee, Jae-Ho; Rozenblum, Ronen; Pabo, Erika; Landman, Adam; Klinger, Elissa V; Bates, David W

2016-12-19

Self-management is essential to caring for high-need, high-cost (HNHC) populations. Advances in mobile phone technology coupled with increased availability and adoption of health-focused mobile apps have made self-management more achievable, but the extent and quality of the literature supporting their use is not well defined. The purpose of this review was to assess the breadth, quality, bias, and types of outcomes measured in the literature supporting the use of apps targeting HNHC populations. Data sources included articles in PubMed and MEDLINE (National Center for Biotechnology Information), EMBASE (Elsevier), the Cochrane Central Register of Controlled Trials (EBSCO), Web of Science (Thomson Reuters), and the NTIS (National Technical Information Service) Bibliographic Database (EBSCO) published since 2008. We selected studies involving use of patient-facing iOS or Android mobile health apps. Extraction was performed by 1 reviewer; 40 randomly selected articles were evaluated by 2 reviewers to assess agreement. Our final analysis included 175 studies. The populations most commonly targeted by apps included patients with obesity, physical handicaps, diabetes, older age, and dementia. Only 30.3% (53/175) of the apps studied in the reviewed literature were identifiable and available to the public through app stores. Many of the studies were cross-sectional analyses (42.9%, 75/175), small (median number of participants=31, interquartile range 11.0-207.2, maximum 11,690), or performed by an app's developers (61.1%, 107/175). Of the 175 studies, only 36 (20.6%, 36/175) studies evaluated a clinical outcome. Most apps described in the literature could not be located on the iOS or Android app stores, and existing research does not robustly evaluate the potential of mobile apps. Whereas apps may be useful in patients with chronic conditions, data do not support this yet. Although we had 2-3 reviewers to screen and assess abstract eligibility, only 1 reviewer abstracted the data. This is one limitation of our study. With respect to the 40 articles (22.9%, 40/175) that were assigned to 2 reviewers (of which 3 articles were excluded), inter-rater agreement was significant on the majority of items (17 of 30) but fair-to-moderate on others. ©Karandeep Singh, Kaitlin Drouin, Lisa P Newmark, Malina Filkins, Elizabeth Silvers, Paul A Bain, Donna M Zulman, Jae-Ho Lee, Ronen Rozenblum, Erika Pabo, Adam Landman, Elissa V Klinger, David W Bates. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 19.12.2016.

Conception of a course for professional training and education in the field of computer and mobile forensics: Part II: Android Forensics

NASA Astrophysics Data System (ADS)

Kröger, Knut; Creutzburg, Reiner

2013-03-01

The growth of Android in the mobile sector and the interest to investigate these devices from a forensic point of view has rapidly increased. Many companies have security problems with mobile devices in their own IT infrastructure. To respond to these incidents, it is important to have professional trained staff. Furthermore, it is necessary to further train their existing employees in the practical applications of mobile forensics owing to the fact that a lot of companies are trusted with very sensitive data. Inspired by these facts, this paper - a continuation of a paper of January 2012 [1] which showed the conception of a course for professional training and education in the field of computer and mobile forensics - addresses training approaches and practical exercises to investigate Android mobile devices.

11β-Hydroxysteroid Dehydrogenase Type 1 in Obese Subjects With Type 2 Diabetes Mellitus.

PubMed

Li, Xia; Wang, Jingli; Yang, Qin; Shao, Shiying

2017-10-01

Obesity is one of the most significant contributors to the development of type 2 diabetes mellitus. Tissue-specific glucocorticoids regulated by 11β-hydroxysteroid dehydrogenase enzyme (11β-HSD) type 1 are involved in central obesity and obesity-related comorbidities. Moderate downregulation of 11β-HSD1 can attenuate insulin insensitivity and the impairment of glucose-stimulated insulin secretion. Some of the beneficial effects of 11β-HSD1 inhibition may be mediated, at least in part, through inactivation of tissue-specific glucocorticoid action related to insulin signaling mechanisms, alleviation of abnormal cytokine profile and the improvement of β-cell function. Thus, 11β-HSD1 is a promising target for the treatment and prevention of type 2 diabetes mellitus with obesity. Copyright © 2017 Southern Society for Clinical Investigation. Published by Elsevier Inc. All rights reserved.

The genetics of childhood obesity and interaction with dietary macronutrients.

PubMed

Garver, William S; Newman, Sara B; Gonzales-Pacheco, Diana M; Castillo, Joseph J; Jelinek, David; Heidenreich, Randall A; Orlando, Robert A

2013-05-01

The genes contributing to childhood obesity are categorized into three different types based on distinct genetic and phenotypic characteristics. These types of childhood obesity are represented by rare monogenic forms of syndromic or non-syndromic childhood obesity, and common polygenic childhood obesity. In some cases, genetic susceptibility to these forms of childhood obesity may result from different variations of the same gene. Although the prevalence for rare monogenic forms of childhood obesity has not increased in recent times, the prevalence of common childhood obesity has increased in the United States and developing countries throughout the world during the past few decades. A number of recent genome-wide association studies and mouse model studies have established the identification of susceptibility genes contributing to common childhood obesity. Accumulating evidence suggests that this type of childhood obesity represents a complex metabolic disease resulting from an interaction with environmental factors, including dietary macronutrients. The objective of this article is to provide a review on the origins, mechanisms, and health consequences of obesity susceptibility genes and interaction with dietary macronutrients that predispose to childhood obesity. It is proposed that increased knowledge of these obesity susceptibility genes and interaction with dietary macronutrients will provide valuable insight for individual, family, and community preventative lifestyle intervention, and eventually targeted nutritional and medicinal therapies.

archAR: an archaeological augmented reality experience

NASA Astrophysics Data System (ADS)

Wiley, Bridgette; Schulze, Jürgen P.

2015-03-01

We present an application for Android phones or tablets called "archAR" that uses augmented reality as an alternative, portable way of viewing archaeological information from UCSD's Levantine Archaeology Laboratory. archAR provides a unique experience of flying through an archaeological dig site in the Levantine area and exploring the artifacts uncovered there. Using a Google Nexus tablet and Qualcomm's Vuforia API, we use an image target as a map and overlay a three-dimensional model of the dig site onto it, augmenting reality such that we are able to interact with the plotted artifacts. The user can physically move the Android device around the image target and see the dig site model from any perspective. The user can also move the device closer to the model in order to "zoom" into the view of a particular section of the model and its associated artifacts. This is especially useful, as the dig site model and the collection of artifacts are very detailed. The artifacts are plotted as points, colored by type. The user can touch the virtual points to trigger a popup information window that contains details of the artifact, such as photographs, material descriptions, and more.

Do exoskeletons dream of plastic sleep?. Comment on "The embodiment of assistive devices-from wheelchair to exoskeleton" by M. Pazzaglia and M. Molinari

NASA Astrophysics Data System (ADS)

Ferrara, Michele; Tempesta, Daniela; De Gennaro, Luigi

2016-03-01

In the science fiction novel by Philip K. Dick ;Do Androids Dream of Electric Sheep?; [2] Blade Runners used a polygraph-like machine to determine if an individual was a replicant, by measuring his/her empathetic responses. Although made of biological materials and physically indistinguishable from humans, androids were considered to be pieces of machinery.

Utilizing Android and the Cloud Computing Environment to Increase Situational Awareness for a Mobile Distributed Response

DTIC Science & Technology

2012-03-01

by using a common communication technology there is no need to develop a complicated communications plan and generate an ad - hoc communications...DISTRIBUTION CODE A 13. ABSTRACT (maximum 200 words) Maintaining an accurate Common Operational Picture (COP) is a strategic requirement for...TERMS Android Programming, Cloud Computing, Common Operating Picture, Web Programing 16. PRICE CODE 17. SECURITY CLASSIFICATION OF REPORT

Family Expense Manager Application in Android

NASA Astrophysics Data System (ADS)

Rajaprabha, M. N.

2017-11-01

FAMILY EXPENSES MANAGER is an android application. This monitors your own costs, family costs and incidental costs. This resembles a present day costs day book in your versatile. This application helps you to monitor your every day costs, settlement points of interest, general rundown, report in detail and periodic costs subtle elements. Every one of the information is put away in database and can be recovered by the client and their relatives.

Android Based Behavioral Biometric Authentication via Multi-Modal Fusion

DTIC Science & Technology

2014-06-12

such as the way he or she uses the mouse, or interacts with the Graphical User Interface (GUI) [9]. Described simply, standard biometrics is determined...as a login screen on a standard computer. Active authentication is authentication that occurs dynamically throughout interaction with the device. A...because they are higher level constructs in themselves. The Android framework was specifically used for capturing the multitouch gestures: pinch and zoom

iPhone, Android, or Kindle: The Emma S. Clark Memorial Library Has an App for That and So Can You

ERIC Educational Resources Information Center

Johnson, Bob; Gutmann, Ted

2013-01-01

If you are like the millions of people buying the latest smartphone, iPhone 5, or Samsung Galaxy S III, your local library should have something to offer you. The Emma S. Clark Memorial Library, for one, has an app for that! Dubbed "Emma Mobile," the library's application works with iOS (Apple), Android (Google), and Amazon Kindle Fire…

Development of an Android Application in the Form of a Simulation Lab as Learning Media for Senior High School Students

ERIC Educational Resources Information Center

Astra, I Made; Nasbey, Hadi; Nugraha, Aditiya

2015-01-01

The aim of this research is to create learning media for senior high school students through an android application in the form of a simulation lab. The method employed in the study is research and development. A simulation lab which has been made subsequently validated by concept and media experts, further empirical testing by teachers and…

On Cybersecurity, Crowdsourcing, and Social Cyber-Attack

DTIC Science & Technology

2013-01-01

gahran_1_android- app - android -phone-apple-s- app - store?_s=PM:TECH. Accessed January 9, 2013. DR. REBECCA GOOLSBY is a Program Officer with the Office of Naval...legitimate messages, and understand how quickly mobile apps and text services can disseminate false information. Authorities and volunteers must develop...inflammatory information and disinfor- mation. Like the conflicts sparked by Guttenberg’s invention, significant real-world impacts of a more troubled

Application of Aquaculture Monitoring System Based on CC2530

NASA Astrophysics Data System (ADS)

Chen, H. L.; Liu, X. Q.

In order to improve the intelligent level of aquaculture technology, this paper puts forward a remote wireless monitoring system based on ZigBee technology, GPRS technology and Android mobile phone platform. The system is composed of wireless sensor network (WSN), GPRS module, PC server, and Android client. The WSN was set up by CC2530 chips based on ZigBee protocol, to realize the collection of water quality parameters such as the water level, temperature, PH and dissolved oxygen. The GPRS module realizes remote communication between WSN and PC server. Android client communicates with server to monitor the level of water quality. The PID (proportion, integration, differentiation) control is adopted in the control part, the control commands from the android mobile phone is sent to the server, the server again send it to the lower machine to control the water level regulating valve and increasing oxygen pump. After practical testing to the system in Liyang, Jiangsu province, China, temperature measurement accuracy reaches 0.5°C, PH measurement accuracy reaches 0.3, water level control precision can be controlled within ± 3cm, dissolved oxygen control precision can be controlled within ±0.3 mg/L, all the indexes can meet the requirements, this system is very suitable for aquaculture.

QRS peak detection for heart rate monitoring on Android smartphone

NASA Astrophysics Data System (ADS)

Pambudi Utomo, Trio; Nuryani, Nuryani; Darmanto

2017-11-01

In this study, Android smartphone is used for heart rate monitoring and displaying electrocardiogram (ECG) graph. Heart rate determination is based on QRS peak detection. Two methods are studied to detect the QRS complex peak; they are Peak Threshold and Peak Filter. The acquisition of ECG data is utilized by AD8232 module from Analog Devices, three electrodes, and Microcontroller Arduino UNO R3. To record the ECG data from a patient, three electrodes are attached to particular body’s surface of a patient. Patient’s heart activity which is recorded by AD8232 module is decoded by Arduino UNO R3 into analog data. Then, the analog data is converted into a voltage value (mV) and is processed to get the QRS complex peak. Heart rate value is calculated by Microcontroller Arduino UNO R3 uses the QRS complex peak. Voltage, heart rate, and the QRS complex peak are sent to Android smartphone by Bluetooth HC-05. ECG data is displayed as the graph by Android smartphone. To evaluate the performance of QRS complex peak detection method, three parameters are used; they are positive predictive, accuracy and sensitivity. Positive predictive, accuracy, and sensitivity of Peak Threshold method is 92.39%, 70.30%, 74.62% and for Peak Filter method are 98.38%, 82.47%, 83.61%, respectively.

Ambient Sound-Based Collaborative Localization of Indeterministic Devices

PubMed Central

Kamminga, Jacob; Le, Duc; Havinga, Paul

2016-01-01

Localization is essential in wireless sensor networks. To our knowledge, no prior work has utilized low-cost devices for collaborative localization based on only ambient sound, without the support of local infrastructure. The reason may be the fact that most low-cost devices are indeterministic and suffer from uncertain input latencies. This uncertainty makes accurate localization challenging. Therefore, we present a collaborative localization algorithm (Cooperative Localization on Android with ambient Sound Sources (CLASS)) that simultaneously localizes the position of indeterministic devices and ambient sound sources without local infrastructure. The CLASS algorithm deals with the uncertainty by splitting the devices into subsets so that outliers can be removed from the time difference of arrival values and localization results. Since Android is indeterministic, we select Android devices to evaluate our approach. The algorithm is evaluated with an outdoor experiment and achieves a mean Root Mean Square Error (RMSE) of 2.18 m with a standard deviation of 0.22 m. Estimated directions towards the sound sources have a mean RMSE of 17.5° and a standard deviation of 2.3°. These results show that it is feasible to simultaneously achieve a relative positioning of both devices and sound sources with sufficient accuracy, even when using non-deterministic devices and platforms, such as Android. PMID:27649176

Trends in diabetes and obesity in Samoa over 35 years, 1978-2013.

PubMed

Lin, S; Naseri, T; Linhart, C; Morrell, S; Taylor, R; McGarvey, S T; Magliano, D J; Zimmet, P

2017-05-01

Population surveys of Type 2 diabetes mellitus and obesity conducted in Samoa over three decades have used varying methodologies and definitions. This study standardizes measures, and trends of Type 2 diabetes mellitus and obesity for 1978-2013 are projected to 2020 for adults aged 25-64 years. Unit records from eight surveys (n = 12 516) were adjusted to the previous census for Division of residence, sex and age to improve national representativeness. Type 2 diabetes mellitus is defined as a fasting plasma glucose ≥ 7.0 mmol/l and/or on medication. Obesity is defined as BMI ≥ 30 kg/m 2 . Random effects meta-regression was employed to assess time trends following logit transformation. Poisson regression from strata was used to assess the effects of mean BMI changes on Type 2 diabetes mellitus period trends. Over 1978-2013, Type 2 diabetes mellitus prevalence increased from 1.2% to 19.6% in men (2.3% per 5 years), and from 2.2% to 19.5% in women (2.2% per 5 years). Obesity prevalence increased from 27.7% to 53.1% in men (3.6% per 5 years) and from 44.4% to 76.7% (4.5% per 5 years) in women. Type 2 diabetes mellitus and obesity prevalences increased in all age groups. From period trends, Type 2 diabetes mellitus prevalence in 2020 is projected to be 26% in men and women. Projected obesity prevalence is projected to be 59% in men and 81% in women. Type 2 diabetes mellitus period trends attributable to BMI increase are estimated as 31% (men) and 16% (women), after adjusting for age. This is the first study to produce trends of Type 2 diabetes mellitus and obesity in Samoa based on standardized data from population surveys. Type 2 diabetes mellitus is equally prevalent in both sexes, and obesity is widespread. Type 2 diabetes mellitus prevalence in Samoa is likely to continue to increase in the near future. © 2016 The Authors. Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK.

Expression of the central obesity and Type 2 Diabetes mellitus genes is associated with insulin resistance in young obese children.

PubMed

Skoczen, S; Wojcik, M; Fijorek, K; Siedlar, M; Starzyk, J B

2015-04-01

The assessment of the health consequences associated with obesity in young children is challenging. The aims of this study were: (1) to compare insulin resistance indices derived from OGTT in obese patients and healthy control (2) to analyze central obesity and Type 2 Diabetes genes expression in obese children, with special attention to the youngest group (< 10 years old). The study included 49 children with obesity (median age 13.5 years old), and 25 healthy peers. Biochemical blood tests and expression of 11 central obesity and 33 Type 2 Diabetes genes was assessed. A significant difference in insulin resistance between obese and non-obese adolescents was observed in all studied indices (mean values of the insulin levels: 24.9 vs. 9.71 mIU/L in T0, 128 vs. 54.7 mIU/L in T60 and 98.7 vs. 41.1 mIU/L in T120 respectively; AUC: 217 vs. 77.2 ng/ml*h, mean values of B% (state beta cell function), S% (insulin sensitivity), and IR were 255 (±97) vs. 135 (±37.8), 46.6 (±37.3) vs. 84.2 (±29.6) and 3 (±1.55) vs. 1.36 (±0,56); HIS, WBIS and ISIBel median 3.89, 44.7, 0.73 vs. 8.57, 110, 2.25. All comparisons differed significantly p<0.001). Moreover, insulin sensitivity was significantly better in the older obese group (>10 years old): median AUC 239 vs. 104 ng/ml*h, and HIS, WBIS and ISIBel 3.57, 38, 0.67 vs. 6.23, 75.6, 1.87 respectively in the obese older compared to the obese younger subgroup, p<0.05. The expression of 64% of the central obesity genes and 70% of Type 2 Diabetes genes was higher in the obese compared to control groups. The differences were more pronounced in the younger obese group. Insulin resistance may develop in early stage of childhood obesity and in very young children may be associated with higher expression of the central obesity and Type 2 Diabetes genes. © Georg Thieme Verlag KG Stuttgart · New York.

Microstructural abnormalities in white and gray matter in obese adolescents with and without type 2 diabetes.

PubMed

Nouwen, Arie; Chambers, Alison; Chechlacz, Magdalena; Higgs, Suzanne; Blissett, Jacqueline; Barrett, Timothy G; Allen, Harriet A

2017-01-01

In adults, type 2 diabetes and obesity have been associated with structural brain changes, even in the absence of dementia. Some evidence suggested similar changes in adolescents with type 2 diabetes but comparisons with a non-obese control group have been lacking. The aim of the current study was to examine differences in microstructure of gray and white matter between adolescents with type 2 diabetes, obese adolescents and healthy weight adolescents. Magnetic resonance imaging data were collected from 15 adolescents with type 2 diabetes, 21 obese adolescents and 22 healthy weight controls. Volumetric differences in the gray matter between the three groups were examined using voxel based morphology, while tract based spatial statistics was used to examine differences in the microstructure of the white matter. Adolescents with type 2 diabetes and obese adolescents had reduced gray matter volume in the right hippocampus, left putamen and caudate, bilateral amygdala and left thalamus compared to healthy weight controls. Type 2 diabetes was also associated with significant regional changes in fractional anisotropy within the corpus callosum, fornix, left inferior fronto-occipital fasciculus, left uncinate, left internal and external capsule. Fractional anisotropy reductions within these tracts were explained by increased radial diffusivity, which may suggest demyelination of white matter tracts. Mean diffusivity and axial diffusivity did not differ between the groups. Our data shows that adolescent obesity alone results in reduced gray matter volume and that adolescent type 2 diabetes is associated with both white and gray matter abnormalities.

Psyllium supplementation in adolescents improves fat distribution & lipid profile: a randomized, participant-blinded, placebo-controlled, crossover trial.

PubMed

de Bock, Martin; Derraik, José G B; Brennan, Christine M; Biggs, Janene B; Smith, Greg C; Cameron-Smith, David; Wall, Clare R; Cutfield, Wayne S

2012-01-01

We aimed to assess the effects of psyllium supplementation on insulin sensitivity and other parameters of the metabolic syndrome in an at risk adolescent population. This study encompassed a participant-blinded, randomized, placebo-controlled, crossover trial. Subjects were 47 healthy adolescent males aged 15-16 years, recruited from secondary schools in lower socio-economic areas with high rates of obesity. Participants received 6 g/day of psyllium or placebo for 6 weeks, with a two-week washout before crossing over. Fasting lipid profiles, ambulatory blood pressure, auxological data, body composition, activity levels, and three-day food records were collected at baseline and after each 6-week intervention. Insulin sensitivity was measured by the Matsuda method using glucose and insulin values from an oral glucose tolerance test. 45 subjects completed the study, and compliance was very high: 87% of participants took >80% of prescribed capsules. At baseline, 44% of subjects were overweight or obese. 28% had decreased insulin sensitivity, but none had impaired glucose tolerance. Fibre supplementation led to a 4% reduction in android fat to gynoid fat ratio (p = 0.019), as well as a 0.12 mmol/l (6%) reduction in LDL cholesterol (p = 0.042). No associated adverse events were recorded. Dietary supplementation with 6 g/day of psyllium over 6 weeks improves fat distribution and lipid profile (parameters of the metabolic syndrome) in an at risk population of adolescent males. Australian New Zealand Clinical Trials Registry ACTRN12609000888268.

Prevalence of Obesity and Its Influence on Achievement of Cardiometabolic Therapeutic Goals in Chinese Type 2 Diabetes Patients: An Analysis of the Nationwide, Cross-Sectional 3B Study.

PubMed

Zhou, Xianghai; Ji, Linong; Ran, Xingwu; Su, Benli; Ji, Qiuhe; Pan, Changyu; Weng, Jianping; Ma, Changsheng; Hao, Chuanming; Zhang, Danyi; Hu, Dayi

2016-01-01

There are few data on the prevalence of obesity and its influence on achieving blood glucose, blood pressure, and blood lipid (3B) goals in Chinese type 2 diabetes outpatients. Patient demographic data, anthropometric measurements, medications, and blood glucose and lipid profiles of 24,512 type 2 diabetes patients from a large, geographically diverse study (CCMR-3B) were analyzed. Using cut-points for body mass index (BMI) and waist circumference (WC) recommended by the Working Group on Obesity in China, overweight and obesity were defined as BMIs of 24-27.9 kg/m2 and ≥28.0 kg/m2. Central obesity was defined as a waist circumference ≥80 cm in women and ≥85 cm in men. The 3B therapeutic goals were HbA1c<7.0%, BP<140/90 mmHg and LDL-C<2.6 mmol/L. Overall, 43.0% of type 2 diabetes patients were overweight and 16.7% were obese; 13.3% of overweight and and 10.1% of obese patients achieved all the 3B target goals. Overweight or obese patients were less likely to achieve 3B goals than those with normal BMIs. More than a half the overweight or obese patients (69.6%) were centrally obese. Patients with abdominal obesity were less likely to achieve cardiometabolic targets than those without abdominal obesity. In multivariate logistic regression analysis, female, higher BMI and waist circumference, smoking, drinking, sedentary lifestyle, and longer diabetes duration were significantly correlated with failure to achieve 3B control goals. Obesity is highly prevalent and associated with poor 3B control in Chinese type 2 diabetes patients. In clinical practice, more attention and resources should focus on weight loss for such patients.

[Surgery for diabetes type 2?].

PubMed

Müller, Markus K; Nocito, A; Schiesser, M

2010-02-17

Diabetes mellitus type 2 is a chronic disease with increasing prevalence in western society. Obesity represents a well established risk factor for the development of diabetes mellitus type 2. Several studies on surgical procedures for the treatment of obesity have shown a postoperative reduction of obesity-related co-morbidities. Thus, diabetes mellitus type 2 was shown to resolve or improve in more than 75% of morbidly obese patients (BMI >35) after bariatric surgery. These insights paved the way for the advent of metabolic surgery - a novel field with the goal to improve glucose metabolism in patients with a BMI of less than 35. Encouraging results from mostly observational studies have sparked the interest in the surgical management of diabetes mellitus type 2.

[Pathological changes in hepatocytes of mice with obesity-induced type 2 diabetes by monosodium glutamate].

PubMed

Nakadate, Kazuhiko; Motojima, Kento; Kamata, Sumito; Yoshida, Testuro; Hikita, Masaaki; Wakamatsu, Hisanori

2014-01-01

Type 2 diabetes caused by chronic obesity is a major lifestyle-related disease. The present study aimed to determine the pathological changes in hepatocytes in chronic obesity. To develop our type 2 diabetes mouse model, we induced chronic obesity to mice by monosodium glutamate. By overeating, the mice significantly increased their body weight compared with age-matched healthy animals. To analyze the pathological changes in hepatocytes of chronic obesity before preclinical stage of type 2 diabetes, the mice were analyzed by hematoxylin-eosin staining of tissue sections at 15 w of age. In these mice, we observed eosin-negative accumulations of hepatocytes around central veins in the hepatic lobule. By Oil-Red O staining, the eosin-negative granules were identified in the lipid droplets. We then ascertained whether these lipid droplets of hepatocytes in the obese mice could be modified by diet. After 24 h of diet restriction, the lipid droplets of hepatocytes in the obese mice were swollen. Furthermore, after 48 h of the diet restriction, the lipid droplets continued swelling and the autophagy-like structures that were found in the healthy mice under the same condition in the obese mice were not observed. These results suggest that the obese mice might have delayed energy metabolism, which might have influenced the mechanisms of hepatocytes. These findings provide new insight into the functional changes in chronic obesity-induced type 2 diabetes and it is possible that the pathological feature make a contribution to promise the target of pharmacological therapy.

Mangiferin protects against adverse skeletal muscle changes and enhances muscle oxidative capacity in obese rats

PubMed Central

Acevedo, Luz M.; Raya, Ana I.; Martínez-Moreno, Julio M.

2017-01-01

Obesity-related skeletal muscle changes include muscle atrophy, slow-to-fast fiber-type transformation, and impaired mitochondrial oxidative capacity. These changes relate with increased risk of insulin resistance. Mangiferin, the major component of the plant Mangifera indica, is a well-known anti-inflammatory, anti-diabetic, and antihyperlipidemic agent. This study tested the hypothesis that mangiferin treatment counteracts obesity-induced fiber atrophy and slow-to-fast fiber transition, and favors an oxidative phenotype in skeletal muscle of obese rats. Obese Zucker rats were fed gelatin pellets with (15 mg/kg BW/day) or without (placebo group) mangiferin for 8 weeks. Lean Zucker rats received the same gelatin pellets without mangiferin and served as non-obese and non-diabetic controls. Lesser diameter, fiber composition, and histochemical succinic dehydrogenase activity (an oxidative marker) of myosin-based fiber-types were assessed in soleus and tibialis cranialis muscles. A multivariate discriminant analysis encompassing all fiber-type features indicated that obese rats treated with mangiferin displayed skeletal muscle phenotypes significantly different compared with both lean and obese control rats. Mangiferin significantly decreased inflammatory cytokines, preserved skeletal muscle mass, fiber cross-sectional size, and fiber-type composition, and enhanced muscle fiber oxidative capacity. These data demonstrate that mangiferin attenuated adverse skeletal muscle changes in obese rats. PMID:28253314

Mangiferin protects against adverse skeletal muscle changes and enhances muscle oxidative capacity in obese rats.

PubMed

Acevedo, Luz M; Raya, Ana I; Martínez-Moreno, Julio M; Aguilera-Tejero, Escolástico; Rivero, José-Luis L

2017-01-01

Obesity-related skeletal muscle changes include muscle atrophy, slow-to-fast fiber-type transformation, and impaired mitochondrial oxidative capacity. These changes relate with increased risk of insulin resistance. Mangiferin, the major component of the plant Mangifera indica, is a well-known anti-inflammatory, anti-diabetic, and antihyperlipidemic agent. This study tested the hypothesis that mangiferin treatment counteracts obesity-induced fiber atrophy and slow-to-fast fiber transition, and favors an oxidative phenotype in skeletal muscle of obese rats. Obese Zucker rats were fed gelatin pellets with (15 mg/kg BW/day) or without (placebo group) mangiferin for 8 weeks. Lean Zucker rats received the same gelatin pellets without mangiferin and served as non-obese and non-diabetic controls. Lesser diameter, fiber composition, and histochemical succinic dehydrogenase activity (an oxidative marker) of myosin-based fiber-types were assessed in soleus and tibialis cranialis muscles. A multivariate discriminant analysis encompassing all fiber-type features indicated that obese rats treated with mangiferin displayed skeletal muscle phenotypes significantly different compared with both lean and obese control rats. Mangiferin significantly decreased inflammatory cytokines, preserved skeletal muscle mass, fiber cross-sectional size, and fiber-type composition, and enhanced muscle fiber oxidative capacity. These data demonstrate that mangiferin attenuated adverse skeletal muscle changes in obese rats.

The relationship of breakfast skipping and type of breakfast consumed with overweight/obesity, abdominal obesity, other cardiometabolic risk factors and the metabolic syndrome in young adults. NHANES 1999-2006

USDA-ARS?s Scientific Manuscript database

The goal of this study was to examine the association between breakfast skipping and type of breakfast consumed with overweight /obesity, abdominal obesity, other cardiometabolic risk factors and the metabolic syndrome. Three breakfast groups were identified (breakfast skippers, ready-to-eat-cereal ...

A randomised placebo-exercise controlled trial of Kung Fu training for improvements in body composition in overweight/obese adolescents: the “Martial Fitness” study

PubMed Central

Tsang, Tracey W.; Kohn, Michael; Chow, Chin Moi; Singh, M Fiatarone

2009-01-01

The purpose of the study was to investigate if Chinese martial arts (Kung Fu, KF) might be effective for improving body composition, as well as being an appealing form of physical activity for inexperienced, sedentary, overweight/obese adolescents. Twenty subjects (age: 13.3 ± 1.8 y; BMI percentile: 98.6(86.5 - 99.8); 60% girls) were randomly-assigned to the supervised KF or placebo (Tai Chi, TC) control group 3 d.wk-1 for 6 months. We assessed body composition, including total and regional fat and lean mass, total and regional bone mineral density (BMD), percent lean and fat mass, body mass index and waist circumference, at baseline and after 6 months of training using anthropometry and dual-energy X-ray absorptiometry (DXA). Habitual physical activity and dietary intake were recorded as covariates via self-report at each time-point. As expected due to natural growth, significant increases in height, weight, total and lumbar BMD, and lean mass were seen in the cohort over time, with a trend for increased whole body fat mass, with no difference between groups. By contrast, percent fat and android fat mass via DXA did not increase in either group over time. The absence of a similar expected increase in central adiposity over 6 months could indicate a positive effect of participation in both programs on the metabolically critical abdominal adiposity in this cohort. Further research in this area is warranted to determine ways to increase uptake and compliance, and to see if longer-term martial arts training not only maintains, but improves abdominal fat mass and related metabolic health indices in overweight/ obese adolescents. Key points Participation in our martial arts trial attenuated the increases in body fat mass expected due to growth in our overweight/obese adolescent group. All subjects allocated to the Kung Fu intervention were satisfied with their Kung Fu training, in contrast to our placebo-exercise (Tai Chi) subjects, suggesting that this form of exercise is worth investigating further for adherence and efficacy. This was the first randomized, placebo-exercise controlled trial to be conducted, examining the effects of martial arts training alone on body composition in sedentary overweight/obese adolescents. Larger, longer-term trials are required to confirm our findings. PMID:24150562

Modeling malware propagation using a carrier compartment

NASA Astrophysics Data System (ADS)

Hernández Guillén, J. D.; Martín del Rey, A.

2018-03-01

The great majority of mathematical models proposed to simulate malware spreading are based on systems of ordinary differential equations. These are compartmental models where the devices are classified according to some types: susceptible, exposed, infectious, recovered, etc. As far as we know, there is not any model considering the special class of carrier devices. This type is constituted by the devices whose operative systems is not targeted by the malware (for example, iOS devices for Android malware). In this work a novel mathematical model considering this new compartment is considered. Its qualitative study is presented and a detailed analysis of the efficient control measures is shown by studying the basic reproductive number.

[Association of beta 3-adrenergic receptor gene with obesity in patients with type 2 diabetes mellitus].

PubMed

Chen, Y; Xu, Y; Zhou, L

2001-09-01

To investigate the association between the mutation of beta 3-adrenergoc receptor gene and obesity in patients with type 2 diabetes. Body mass, waist-hip ratio, blood pressure and blood lipids were measured in 154 type 2 diabetic patients. Polymerase chain reaction and the restriction fragment length polymorphism analysis were used to determine the wild, heterozygous and homozygous forms of beta 3-adrenergoc receptor gene. The frequency of the Trp64Arg mutation was 42.5% and the frequency of Arg64 allele was 22.6%. The mutation frequency of the genetic types was significantly different between the obese and non-obese type 2 diabetes mellitus patients. The body mass, systolic blood pressure, diastolic blood pressure, HDL-cholesterol were significantly different, when those with Trp64Arg heterozygous were compared with those with Trp64 homozygous. The genetic mutation of beta 3-adrenegoc receptor in patients with type 2 diabetes is probably related to obesity.

eMontage: An Architecture for Rapid Integration of Situational Awareness Data at the Edge

DTIC Science & Technology

2013-05-01

Request Response Interaction Android Client Dispatcher Servlet Spring MVC Controller Camel Producer Template Camel Route Remote Data Service - REST...8SATURN 2013© 2013 Carnegie Mellon University Publish Subscribe Interaction Android Client Dispatcher Servlet Spring MVC Controller Remote Data...set ..., "’"C oUkRelw•b J’- - ’ ~ ’~------’ ~-------- ’-------~ , Parse XML into a single Java XML Document object. -=--:=’ Software Engineering

How Can Botnets Cause Storms? Understanding the Evolution and Impact of Mobile Botnets

DTIC Science & Technology

2014-01-01

Android.Bmaster [4] in China that had infected an estimate of hundreds of thousands of Android phones. As a result, mobile botnets have already become...malware via centralized infrastructures (e.g., using short and multimedia message services [1], [4], [5]). However, The work was sponsored by ARO staff...infrastructures (malware sending its copies using short/ multimedia message services or advertising its applications (APPs) on mobile markets [1], [4

Installing the ARL Phrase Book Android Application and Configuring its Dependencies

DTIC Science & Technology

2015-02-01

device and configuring several additional applications required by the Phrase Book. 15. SUBJECT TERMS Android, Phrase Book, Domain Translator, Festival ...CMU] Festival Light Dari Text-to-Speech [TTS] Engine, the Dari/Pashto soft keyboard2) were integrated into the Phrase Book for additional capability...apps (as APK files): • Dari and Pashto AnySoftKeyboards. Delivered as a 94-KB AnySoftKeyboardLanguagePackPashto.apk. • Festival Lite (Flite) TTS

Prosodic alignment in human-computer interaction

NASA Astrophysics Data System (ADS)

Suzuki, N.; Katagiri, Y.

2007-06-01

Androids that replicate humans in form also need to replicate them in behaviour to achieve a high level of believability or lifelikeness. We explore the minimal social cues that can induce in people the human tendency for social acceptance, or ethopoeia, toward artifacts, including androids. It has been observed that people exhibit a strong tendency to adjust to each other, through a number of speech and language features in human-human conversational interactions, to obtain communication efficiency and emotional engagement. We investigate in this paper the phenomena related to prosodic alignment in human-computer interactions, with particular focus on human-computer alignment of speech characteristics. We found that people exhibit unidirectional and spontaneous short-term alignment of loudness and response latency in their speech in response to computer-generated speech. We believe this phenomenon of prosodic alignment provides one of the key components for building social acceptance of androids.

Development of computer-assisted instruction application for statistical data analysis android platform as learning resource

NASA Astrophysics Data System (ADS)

Hendikawati, P.; Arifudin, R.; Zahid, M. Z.

2018-03-01

This study aims to design an android Statistics Data Analysis application that can be accessed through mobile devices to making it easier for users to access. The Statistics Data Analysis application includes various topics of basic statistical along with a parametric statistics data analysis application. The output of this application system is parametric statistics data analysis that can be used for students, lecturers, and users who need the results of statistical calculations quickly and easily understood. Android application development is created using Java programming language. The server programming language uses PHP with the Code Igniter framework, and the database used MySQL. The system development methodology used is the Waterfall methodology with the stages of analysis, design, coding, testing, and implementation and system maintenance. This statistical data analysis application is expected to support statistical lecturing activities and make students easier to understand the statistical analysis of mobile devices.

Comparision and analysis of top 10 exercise android Apps in mainland China.

PubMed

Wang, Yanling; Sun, Liu; Xu, Yahong; Xiao, Qian; Chang, Polun; Wu, Ying

2015-01-01

Medical guidelines highly recommend physical activity and aerobic exercise in the prevention of primary and secondary cardiovascular disease. The use of exercise-promoting application software may improve clinical outcomes for cardiovascular disease (CVD) patients. The study aimed to compare and analyze the functions of the top 10 exercise Android Apps which had more than 1,000,000 downloads from the main four Android App stores in mainland China. The results showed that most of these popular apps had pedometer, exercise plan preset, user data presentation, user encouragement and community sharing functions while a few of them had exercise video clips or animation support and wearable devices. Given these data, the conclusion is that these popular apps fulfill some of the functions recommended by medical guidelines, however, lack of some functions such as pre-exercise risk assessment, the exercise intensity recording, specific instructions by professionals, and monitoring functions for CVD patients.

The Schisto Track: A System for Gathering and Monitoring Epidemiological Surveys by Connecting Geographical Information Systems in Real Time

PubMed Central

2014-01-01

Background Using the Android platform as a notification instrument for diseases and disorders forms a new alternative for computerization of epidemiological studies. Objective The objective of our study was to construct a tool for gathering epidemiological data on schistosomiasis using the Android platform. Methods The developed application (app), named the Schisto Track, is a tool for data capture and analysis that was designed to meet the needs of a traditional epidemiological survey. An initial version of the app was finished and tested in both real situations and simulations for epidemiological surveys. Results The app proved to be a tool capable of automation of activities, with data organization and standardization, easy data recovery (to enable interfacing with other systems), and totally modular architecture. Conclusions The proposed Schisto Track is in line with worldwide trends toward use of smartphones with the Android platform for modeling epidemiological scenarios. PMID:25099881

Associations of genetic risk scores based on adult adiposity pathways with childhood growth and adiposity measures.

PubMed

Monnereau, Claire; Vogelezang, Suzanne; Kruithof, Claudia J; Jaddoe, Vincent W V; Felix, Janine F

2016-08-18

Results from genome-wide association studies (GWAS) identified many loci and biological pathways that influence adult body mass index (BMI). We aimed to identify if biological pathways related to adult BMI also affect infant growth and childhood adiposity measures. We used data from a population-based prospective cohort study among 3,975 children with a mean age of 6 years. Genetic risk scores were constructed based on the 97 SNPs associated with adult BMI previously identified with GWAS and on 28 BMI related biological pathways based on subsets of these 97 SNPs. Outcomes were infant peak weight velocity, BMI at adiposity peak and age at adiposity peak, and childhood BMI, total fat mass percentage, android/gynoid fat ratio, and preperitoneal fat area. Analyses were performed using linear regression models. A higher overall adult BMI risk score was associated with infant BMI at adiposity peak and childhood BMI, total fat mass, android/gynoid fat ratio, and preperitoneal fat area (all p-values < 0.05). Analyses focused on specific biological pathways showed that the membrane proteins genetic risk score was associated with infant peak weight velocity, and the genetic risk scores related to neuronal developmental processes, hypothalamic processes, cyclicAMP, WNT-signaling, membrane proteins, monogenic obesity and/or energy homeostasis, glucose homeostasis, cell cycle, and muscle biology pathways were associated with childhood adiposity measures (all p-values <0.05). None of the pathways were associated with childhood preperitoneal fat area. A genetic risk score based on 97 SNPs related to adult BMI was associated with peak weight velocity during infancy and general and abdominal fat measurements at the age of 6 years. Risk scores based on genetic variants linked to specific biological pathways, including central nervous system and hypothalamic processes, influence body fat development from early life onwards.

Role of PUFAs, the precursors of endocannabinoids, in human obesity and type 2 diabetes.

PubMed

Dain, Alejandro; Repossi, Gaston; Das, Undurti N; Eynard, Aldo Renato

2010-06-01

Polyunsaturated fatty acids (PUFAs) serve as precursors of the endocannabinoids (ECs) that are bioactive lipids molecules. Recent studies revealed that ECs participate in several physiological and pathological processes including obesity and type 2 diabetes mellitus. Here we review the experimental and clinical aspects of the role of endocannabinoids in obesity and type 2 diabetes mellitus and the modification of the endocannabinoids by exogenously administered PUFAs. Based on these evidences, we propose that the endocannabinoid system (ECS) can be modulated by exogenous manipulation of PUFAs that could help in the prevention and management of human diseases such as obesity, metabolic syndrome and type 2 diabetes mellitus.

Paradoxical Effects of Fruit on Obesity

PubMed Central

Sharma, Satya P.; Chung, Hea J.; Kim, Hyeon J.; Hong, Seong T.

2016-01-01

Obesity is exponentially increasing regardless of its preventable characteristics. The current measures for preventing obesity have failed to address the severity and prevalence of obesity, so alternative approaches based on nutritional and diet changes are attracting attention for the treatment of obesity. Fruit contains large amounts of simple sugars (glucose, fructose, sucrose, etc.), which are well known to induce obesity. Thus, considering the amount of simple sugars found in fruit, it is reasonable to expect that their consumption should contribute to obesity rather than weight reduction. However, epidemiological research has consistently shown that most types of fruit have anti-obesity effects. Thus, due to their anti-obesity effects as well as their vitamin and mineral contents, health organizations are suggesting the consumption of fruit for weight reduction purposes. These contradictory characteristics of fruit with respect to human body weight management motivated us to study previous research to understand the contribution of different types of fruit to weight management. In this review article, we analyze and discuss the relationships between fruit and their anti-obesity effects based on numerous possible underlying mechanisms, and we conclude that each type of fruit has different effects on body weight. PMID:27754404

Deficiency in plasmacytoid dendritic cells and type I interferon signalling prevents diet-induced obesity and insulin resistance in mice.

PubMed

Hannibal, Tine D; Schmidt-Christensen, Anja; Nilsson, Julia; Fransén-Pettersson, Nina; Hansen, Lisbeth; Holmberg, Dan

2017-10-01

Obesity is associated with glucose intolerance and insulin resistance and is closely linked to the increasing prevalence of type 2 diabetes. In mouse models of diet-induced obesity (DIO) and type 2 diabetes, an increased fat intake results in adipose tissue expansion and the secretion of proinflammatory cytokines. The innate immune system not only plays a crucial role in obesity-associated chronic low-grade inflammation but it is also proposed to play a role in modulating energy metabolism. However, little is known about how the modulation of metabolism by the immune system may promote increased adiposity in the early stages of increased dietary intake. Here we aimed to define the role of type I IFNs in DIO and insulin resistance. Mice lacking the receptor for IFN-α (IFNAR -/- ) and deficient in plasmacytoid dendritic cells (pDCs) (B6.E2-2 fl/fl .Itgax-cre) were fed a diet with a high fat content or normal chow. The mice were analysed in vivo and in vitro using cellular, biochemical and molecular approaches. We found that the development of obesity was inhibited by an inability to respond to type I IFNs. Furthermore, the development of obesity and insulin resistance in this model was associated with pDC recruitment to the fatty tissues and liver of obese mice (a 4.3-fold and 2.7-fold increase, respectively). Finally, we demonstrated that the depletion of pDCs protects mice from DIO and from developing obesity-associated metabolic complications. Our results provide genetic evidence that pDCs, via type I IFNs, regulate energy metabolism and promote the development of obesity.

How do obese individuals perceive and respond to the different types of obesity stigma that they encounter in their daily lives? A qualitative study.

PubMed

Lewis, Sophie; Thomas, Samantha L; Blood, R Warwick; Castle, David J; Hyde, Jim; Komesaroff, Paul A

2011-11-01

Obesity stigma exists within many institutions and cultural settings. Most studies suggest that stigmatising experiences have a negative impact on individuals' health and social behaviours and outcomes. However, some studies indicate that obesity stigma can motivate individuals to lose weight. Limited research has examined weight-based stigma from the perspective of obese individuals, including their perceptions of, and responses to, the different types of weight-based stigma they face in their daily lives. This study advances knowledge about weight-based stigma by documenting how obese adults (mostly female) described the different types of obesity stigma that they faced, how they responded to this stigma, and how different types of stigma impact on health and social wellbeing. Semi-structured, qualitative interviews were conducted between April 2008 and March 2009 with a diverse sample of 141 obese Australian adults. Guided by Link and Phelan's (2006) categorisation of different types of discrimination, participants' experiences could be grouped into three distinct types of stigma: 1) Direct (e.g. being abused when using public transport); 2) Environmental (e.g. not being able to fit into seats on planes); and 3) Indirect (e.g. people staring at the contents of their supermarket trolley). Participants described that more subtle forms of stigma had the most impact on their health and social wellbeing. However, it was the interaction between direct, environmental and indirect stigma that created a barrier to participation in health-promoting activities. Participants rarely challenged stigma and often blamed themselves for stigmatising experiences. They also avoided situations where they perceived they would be stigmatised and constantly thought about how they could find a solution to their obesity. Copyright © 2011 Elsevier Ltd. All rights reserved.

[Association between the types of obesity and the 10-year-coronary heart disease risk, in Tibet Autonomous Region and Xinjiang Uygur Autonomous Region].

PubMed

Zheng, C Y; Wang, Z W; Chen, Z; Zhang, L F; Wang, X; Dong, Y; Nie, J Y; Wang, J L; Shao, L; Tian, Y

2017-06-10

Objective: To investigate the association between types of obesity and the 10-year-coronary heart disease risk in Tibet and Xinjiang of China. Methods: Using the multi-stage random sampling method, 7 631 participants aged 35 or older were examined under the International Standardized Examination process but with only 5 802 were eligible for analysis, in the 2015-2016 season. Results: The prevalence rates of general obesity, central obesity, visceral obesity and compound obesity were 0.53 % , 12.62 % , 10.08 % and 42.35 % , respectively. Out of all the compound obesity cases, 58.65 % (1 441/2 457) of them appeared as having all types of obesity in our study. Risk related to the 10-year-coronary heart disease was higher in men than in women [(3.05±4.14) % vs. (1.42±2.37) % , P <0.000 1. Compound obesity (30.16 % ) showed the highest proportion on the risk of 10-year-coronary heart disease than central obesity (28.01 % ), visceral obesity (18.46 % ) or the general obesity (19.35 % ). After adjustment for confounding factors, results from the multivariate analysis showed the risk in compound obesity was higher than central obesity, visceral obesity or general obesity and was associated with the highest risk on the 10-year-coronary heart disease ( OR =2.889, 95 %CI : 2.525-3.305). People with anomalous BMI and WC seemed to have had the higher risk ( OR =3.168, 95 %CI : 2.730-3.677). Conclusions: Obesity was popular in the residents of Tibet and Xinjiang areas of China. Men and people with compound obesity (especially both BMI and WC were abnormal) seemed to carry greater risk on the 10-year-coronary heart disease.

The prevalence, risk factors and clinical correlates of obesity in Chinese patients with schizophrenia.

PubMed

Li, Qiongzhen; Du, Xiangdong; Zhang, Yingyang; Yin, Guangzhong; Zhang, Guangya; Walss-Bass, Consuelo; Quevedo, João; Soares, Jair C; Xia, Haishen; Li, Xiaosi; Zheng, Yingjun; Ning, Yuping; Zhang, Xiang Yang

2017-05-01

Obesity is a common comorbidity in schizophrenia. Few studies have addressed obesity in Chinese schizophrenia patients. The aims of this current study were to evaluate the prevalence, risk factors and clinical correlates of obesity in Chinese patients with schizophrenia. A total of 206 patients were recruited from a hospital in Beijing. Their clinical and anthropometric data together with plasma glucose and lipid parameters were collected. Positive and Negative Syndrome Scale (PANSS) was rated for all patients. Overall, 43 (20.9%) patients were obese and 67 (32.5%) were overweight. The obese patients had significantly higher glucose levels, triglyceride levels than non-obese patients. Females and patients with type 2 diabetes mellitus had increased risk for obesity. Correlation analysis showed that BMI was associated with sex, education levels, negative symptoms, total PANSS score, triglyceride levels and type 2 diabetes mellitus. Further stepwise regression analysis showed that sex, type 2 diabetes, education level, triglyceride and amount of smoking/day were significant predictors for obesity. Our study showed that the prevalence of obesity in Chinese patients with schizophrenia is higher than that in the general population. Some demographic and clinical variables are risk factors for obesity in schizophrenia. Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

Validation of Physical Activity Tracking via Android Smartphones Compared to ActiGraph Accelerometer: Laboratory-Based and Free-Living Validation Studies.

PubMed

Hekler, Eric B; Buman, Matthew P; Grieco, Lauren; Rosenberger, Mary; Winter, Sandra J; Haskell, William; King, Abby C

2015-04-15

There is increasing interest in using smartphones as stand-alone physical activity monitors via their built-in accelerometers, but there is presently limited data on the validity of this approach. The purpose of this work was to determine the validity and reliability of 3 Android smartphones for measuring physical activity among midlife and older adults. A laboratory (study 1) and a free-living (study 2) protocol were conducted. In study 1, individuals engaged in prescribed activities including sedentary (eg, sitting), light (sweeping), moderate (eg, walking 3 mph on a treadmill), and vigorous (eg, jogging 5 mph on a treadmill) activity over a 2-hour period wearing both an ActiGraph and 3 Android smartphones (ie, HTC MyTouch, Google Nexus One, and Motorola Cliq). In the free-living study, individuals engaged in usual daily activities over 7 days while wearing an Android smartphone (Google Nexus One) and an ActiGraph. Study 1 included 15 participants (age: mean 55.5, SD 6.6 years; women: 56%, 8/15). Correlations between the ActiGraph and the 3 phones were strong to very strong (ρ=.77-.82). Further, after excluding bicycling and standing, cut-point derived classifications of activities yielded a high percentage of activities classified correctly according to intensity level (eg, 78%-91% by phone) that were similar to the ActiGraph's percent correctly classified (ie, 91%). Study 2 included 23 participants (age: mean 57.0, SD 6.4 years; women: 74%, 17/23). Within the free-living context, results suggested a moderate correlation (ie, ρ=.59, P<.001) between the raw ActiGraph counts/minute and the phone's raw counts/minute and a strong correlation on minutes of moderate-to-vigorous physical activity (MVPA; ie, ρ=.67, P<.001). Results from Bland-Altman plots suggested close mean absolute estimates of sedentary (mean difference=-26 min/day of sedentary behavior) and MVPA (mean difference=-1.3 min/day of MVPA) although there was large variation. Overall, results suggest that an Android smartphone can provide comparable estimates of physical activity to an ActiGraph in both a laboratory-based and free-living context for estimating sedentary and MVPA and that different Android smartphones may reliably confer similar estimates.

Is Acanthosis Nigricans a Reliable Indicator for Risk of Type 2 Diabetes in Obese Children and Adolescents?: A Systematic Review

ERIC Educational Resources Information Center

Abraham, Cilymol; Rozmus, Cathy L.

2012-01-01

Obesity and type 2 diabetes is becoming a major health problem affecting children and adolescents in the United States. This article reviews the current literature examining the association between the presence of acanthosis nigricans (AN) and risk for developing type 2 diabetes mellitus (T2DM) in obese children and adolescents. Ethnicity, family…

Role of immune cells in obesity induced low grade inflammation and insulin resistance.

PubMed

Asghar, Ambreen; Sheikh, Nadeem

2017-05-01

The frequency of obesity is enormously growing worldwide. Obesity results when energy intake exceeds, energy expenditure. Excess adiposity is a major risk factor in the progress of various metabolic disorders accounting insulin resistance, hypertension, Type 2 diabetes, nonalcoholic fatty liver disease, polycystic ovarian disease and several types of cancers. Obesity is characterized by pro-inflammatory condition in which hypertrophied adipose tissue along with immune cells contribute to increase the level of pro-inflammatory cytokines. Immune cells are the key players in inducing low grade chronic inflammation in obesity and are main factor responsible for pathogenesis of insulin resistance resulting Type 2 diabetes. The current review is aimed to investigate the mechanism of pro-inflammatory responses and insulin resistance involving immune cells and their products in obesity. Copyright © 2017 Elsevier Inc. All rights reserved.

Perceived interpersonal mistreatment among obese Americans: do race, class, and gender matter?

PubMed

Carr, Deborah; Jaffe, Karen J; Friedman, Michael A

2008-11-01

We examine the extent to which body weight affects three types of perceived interpersonal mistreatment, and evaluate whether these patterns vary by race, social class, and gender in a large sample of American men and women. We use data from the first wave (1995) of the Midlife Development in the United States (N = 3,511), a survey of persons aged 25-74, to contrast underweight, normal weight, overweight, obese I, and obese II/III persons' reports of three types of perceived interpersonal mistreatment: disrespectful treatment; harassment/teasing; and being treated as if one has a character flaw. We assess whether these relationships are contingent upon one's gender, race, and occupational status. We control for possible confounding influences, including physical and mental health. In the total sample, obese I and obese II/III persons report significantly higher levels of all three types of perceived mistreatment (compared to normal weight persons), even when demographic, socioeconomic status, and health characteristics are controlled. Among black men, however, obese II/III persons report significantly lower levels of all three types of perceived mistreatment, compared to their normal weight peers. Among both men and women, obese professional workers report significantly more perceived interpersonal mistreatment, compared to obese persons of lower socioeconomic status. These findings reveal the ways that intersecting social identities may shape obese Americans' perceptions of stigmatizing interpersonal encounters.

Perceived Interpersonal Mistreatment Among Obese Americans: Do Race, Class, and Gender Matter?

PubMed Central

Carr, Deborah; Jaffe, Karen J.; Friedman, Michael A.

2010-01-01

Objective: We examine the extent to which body weight affects three types of perceived interpersonal mistreatment, and evaluate whether these patterns vary by race, social class, and gender in a large sample of American men and women. Methods and Procedures: We use data from the first wave (1995) of the Midlife Development in the United States (N = 3,511), a survey of persons aged 25–74, to contrast underweight, normal weight, overweight, obese I, and obese II/III persons' reports of three types of perceived interpersonal mistreatment: disrespectful treatment; harassment/teasing; and being treated as if one has a character flaw. We assess whether these relationships are contingent upon one's gender, race, and occupational status. We control for possible confounding influences, including physical and mental health. Results: In the total sample, obese I and obese II/III persons report significantly higher levels of all three types of perceived mistreatment (compared to normal weight persons), even when demographic, socioeconomic status, and health characteristics are controlled. Among black men, however, obese II/III persons report significantly lower levels of all three types of perceived mistreatment, compared to their normal weight peers. Among both men and women, obese professional workers report significantly more perceived interpersonal mistreatment, compared to obese persons of lower socioeconomic status. Discussion: These findings reveal the ways that intersecting social identities may shape obese Americans' perceptions of stigmatizing interpersonal encounters. PMID:18978765

Wearable Notification via Dissemination Service in a Pervasive Computing Environment

DTIC Science & Technology

2015-09-01

context, state, and environment in a manner that would be transparent to a Soldier’s common operations. 15. SUBJECT TERMS pervasive computing, Android ...of user context shifts, i.e., changes in the user’s position, history , workflow, or resource interests. If the PCE is described as a 2-component...convenient viewing on the Glass’s screen just above the line of sight. All of the software developed uses Google’s Android open-source software stack

Residual Network Data Structures in Android Devices

DTIC Science & Technology

2011-09-01

Apple’s iOS, Google’s Android, RIM’s Blackberry and Nokia’s Symbian. Each Smartphone presents unique characteristics for forensic examiners. In...another. • Home Agent: A router on mobile node’s home network that tunnels traffic to mobile node when not on home network. Also maintains mobile nodes...Address notification to the Home Agent. When traffic arrives at the Home Agent for the mobile node, the Home Agent tunnels the traffic to the Care-of

Can Smartphones and Privacy Coexist Assessing Technologies and Regulations Protecting Personal Data on Android and iOS Devices

DTIC Science & Technology

2016-01-01

does not find any critically private information. To What Extent Do Apps Use Cryptography or Transmit Nonessential Private Data? In a third experiment... cryptography and private data. Specifically, we analyzed 50 banking apps on both iOS and Android to understand how well these apps use cryptography . First...RAND’s Engineering and Applied Sciences Department. His research expertise includes applied cryptography and technology policy. Zev Winkelman is a

Determination of Altitude Sickness Risk (DASR) User’s Guide for Apple Mobile Devices

DTIC Science & Technology

2015-06-01

Android Smartphone Relevance to Military Weather Applications”.2 2.  DASR Inputs  To launch DASR, simply tap the DASR icon on the device start screen...risk due to sleep deprivation). TB MED 505 should be consulted for additional details if necessary. 5 Fig. 4 Individual Factors view The risk...armypubs.army.mil/med/index.html]. 2. Sauter, D. Android smartphone relevance to military weather applications. White Sands Missile Range (NM); Army Research

A5: Automated Analysis of Adversarial Android Applications

DTIC Science & Technology

2014-06-03

algorithm is fairly intuitive. First, A5 invokes the DED [11] decompiler to create Java classes from the Android application code. Next, A5 uses Soot [30...implemented such as Bluetooth, Wi-Fi, sensors , etc. These hardware features are very common in physical devices and are simply not present in the...such as Androguard [1] and Soot [30]. Deficiencies in these tools may also manifest in A5. The bytecode static analysis is limited to finding only

UAV field demonstration of social media enabled tactical data link

NASA Astrophysics Data System (ADS)

Olson, Christopher C.; Xu, Da; Martin, Sean R.; Castelli, Jonathan C.; Newman, Andrew J.

2015-05-01

This paper addresses the problem of enabling Command and Control (C2) and data exfiltration functions for missions using small, unmanned, airborne surveillance and reconnaissance platforms. The authors demonstrated the feasibility of using existing commercial wireless networks as the data transmission infrastructure to support Unmanned Aerial Vehicle (UAV) autonomy functions such as transmission of commands, imagery, metadata, and multi-vehicle coordination messages. The authors developed and integrated a C2 Android application for ground users with a common smart phone, a C2 and data exfiltration Android application deployed on-board the UAVs, and a web server with database to disseminate the collected data to distributed users using standard web browsers. The authors performed a mission-relevant field test and demonstration in which operators commanded a UAV from an Android device to search and loiter; and remote users viewed imagery, video, and metadata via web server to identify and track a vehicle on the ground. Social media served as the tactical data link for all command messages, images, videos, and metadata during the field demonstration. Imagery, video, and metadata were transmitted from the UAV to the web server via multiple Twitter, Flickr, Facebook, YouTube, and similar media accounts. The web server reassembled images and video with corresponding metadata for distributed users. The UAV autopilot communicated with the on-board Android device via on-board Bluetooth network.

Fat mass and obesity-associated gene rs11642015 polymorphism is significantly associated with prediabetes and type 2 diabetes subsequent to adjustment for body mass index.

PubMed

Han, Liyuan; Tang, Linlin; Wang, Changyi; Chen, Zhongwei; Zhang, Tao; Chen, Sihan; Liu, Shengyuan; Peng, Xiaolin; Mai, Yifeng; Duan, Shiwei

2014-09-01

The association of the fat mass and obesity-associated gene ( FTO ) rs11642015 polymorphism with prediabetes, type 2 diabetes and obesity in certain populations has not been previously reported. A population-based study was conducted that included 490 type 2 diabetic, 471 prediabetic and 575 normal subjects. The main outcomes of the study were prediabetes, type 2 diabetes and obesity. Binary logistic regression was performed to estimate the association of FTO rs11642015 with the risk of prediabetes, type 2 diabetes and obesity following adjustment for the corresponding confounders. A meta-analysis was also conducted to evaluate the association between FTO rs11642015 and obesity. FTO rs11642015 was significantly associated with prediabetes in the whole sample under the additive model [odds ratio (OR), 1.50; 95% confidence interval (CI), 1.17-1.93; P=0.002], particularly in females. The polymorphism remained consistently significant following adjustment for age and body mass index (BMI), showing an increased prediabetes risk with an additive effect (OR, 1.55; 95% CI, 1.19-2.01; P=0.001). In addition, a significant association was found for rs11642015 with prediabetes and type 2 diabetes under the dominant model. However, under the stringent Bonferroni's correction there was no evidence of positive associations for FTO rs11642015 with obesity in the whole sample, females or males. Findings of the meta-analysis showed that FTO rs11642015 was not predisposed to obesity. In conclusion, the T allele of FTO rs11642015 is positively associated with an increased risk of prediabetes, even after adjustment for age and BMI, particularly in females. Subjects carrying the CT + TT genotype are predisposed to prediabetes and type 2 diabetes. Therefore, results of the population-based study and follow-up meta-analysis suggested that FTO rs11642015 is not significantly associated with susceptibility to obesity.

Cardiac abnormalities in youth with obesity and type 2 diabetes

USDA-ARS?s Scientific Manuscript database

Childhood obesity has been linked to cardiovascular disease (CVD) risk in adulthood. Of great concern is the expected increase in the population's CVD burden in relation to childhood obesity. This is compounded by the risk related to chronic hyperglycemia exposure in youth with type 2 diabetes. We h...

Impact of childhood obesity on employers.

PubMed

Sepulveda, Martin-J; Tait, Fan; Zimmerman, Edward; Edington, Dee

2010-01-01

The impact of childhood obesity on the workplace is not well understood. A study conducted for one large employer indicated that average per capita health insurance claims costs were as high as $2,907 in 2008 for an obese child and $10,789 for a child with type II diabetes. The average claims cost for children with type II diabetes actually exceeded the level of the average claims cost for adults with type II diabetes ($8,844). This paper reviews the evidence on the impact of childhood obesity on employers and discusses opportunities for business engagement-including two current examples of activities involving employers.

TNFα blockade for inflammatory rheumatic diseases is associated with a significant gain in android fat mass and has varying effects on adipokines: a 2-year prospective study.

PubMed

Toussirot, Éric; Mourot, Laurent; Dehecq, Barbara; Wendling, Daniel; Grandclément, Émilie; Dumoulin, Gilles

2014-04-01

To evaluate the long-term consequences of TNFα inhibitors on body composition and fat distribution, as well as changes in serum adipokines in patients with rheumatoid arthritis (RA) or ankylosing spondylitis (AS). Eight patients with RA and twelve with AS requiring a TNFα inhibitor were prospectively followed for 2 years. Body composition was evaluated by dual X-ray absorptiometry and included measurements of total fat mass, lean mass, fat in the gynoid and android regions, and visceral fat. Serum leptin, total and high molecular weight (HMW) adiponectin, resistin, and ghrelin were also assessed. There was a significant gain in body mass index (p = 0.05) and a tendency for weight (p = 0.07), android fat (p = 0.07), and visceral fat (p = 0.059) increase in patients with RA, while in AS, total fat mass significantly increased (p = 0.02) with a parallel weight gain (p = 0.07). When examining the whole population of patients, we observed after 2 years a significant increase in body weight (+1.9%; p = 0.003), body mass index (+2.5%; p = 0.004), total fat mass (+11.1%; p = 0.007), and fat in the android region (+18.3%; p = 0.02). There was a substantial, albeit nonsignificant gain in visceral fat (+24.3%; p = 0.088). Lean mass and gynoid fat were not modified. No major changes were observed for serum leptin, total adiponectin, and ghrelin, while HMW adiponectin and the HMW/total adiponectin ratio tended to decrease (-15.2%, p = 0.057 and -9.3%, p = 0.067, respectively). Resistin decreased significantly (-22.4%, p = 0.01). Long-term TNFα inhibition in RA and AS is associated with a significant gain in fat mass, with a shift to the android (visceral) region. This fat redistribution raises questions about its influence on the cardiovascular profile of patients receiving these treatments.

Stability analysis of type 2 diabetes mellitus prognosis model with obesity as a trigger factor and metabolic syndrome as a risk factor

NASA Astrophysics Data System (ADS)

Jaya, A. I.; Lestari, A. D.; Ratianingsih, R.; Puspitasari, J. W.

2018-03-01

Obesity is found in 90% of the world's patients with a type 2 diabetes mellitus (DM) diagnosis. If it is not being treatment, the disease advances to a metabolic syndrome related to some atherosclerotic cardiovascular diseases. In this study, a mathematical model was constructed that represent the prognosis of type 2 DM. The prognosis is started from the transition of vulnerable people to overweight and obese. The advanced prognosis makes the type 2 DM sufferer become a metabolic syndrome. The model has no disease-free critical point, while the implicit endemic critical point is guaranteed for some requirements. The analysis of the critical point stability, by Jacobian matrix and Routh Hurwitz criteria, requires a parameter interval that identified from the characteristic polynomial. The requirements show that we have to pay attention to the transition rate of overweight to obese, more over the transition rate of obese to type 2 DM. The simulations show that the unstable condition of type 2 DM is easier to achieve because of the tightness of the parameter stability interval.

A fabric wrist patch sensor for continuous and comprehensive monitoring of the cardiovascular system.

PubMed

Kwonjoon Lee; Kiseok Song; Taehwan Roh; Hoi-Jun Yoo

2016-08-01

The wrist patch-type ECG/APW sensor system is proposed for continuous and comprehensive monitoring of the patient's cardiovascular system. The wrist patch-type ECG/APW sensor system is consists of ECG/APW sensor, ECG/APW electrodes, and base station for real-time monitoring of the patient's status. The ECG/APW sensor and electrodes are composed of wrist patch, bandage-type ECG electrode and fabric APW electrode, respectively so that the patient's cardiovascular system can be continuously monitored in daily life with free hand-movement. Since the proposed wrist patchtype ECG/APW sensor simultaneously measures ECG/APW, the cardiac indicators, such as HR and PAT, can be extracted for comprehensive and accurate monitoring of the patient's cardiovascular system. The proposed wrist patch-type ECG/APW sensor system is successfully verified using the commercial PPG sensor (RP520) and demonstrated with the customized Android application on the smart phone.

Dynapenic Obesity and Prevalence of Type 2 Diabetes in Middle-Aged Japanese Men

PubMed Central

Kawakami, Ryoko; Sawada, Susumu S.; Lee, I-Min; Matsushita, Munehiro; Gando, Yuko; Okamoto, Takashi; Tsukamoto, Koji; Higuchi, Mitsuru; Miyachi, Motohiko; Blair, Steven N.

2015-01-01

Background The independent and combined associations of muscle strength and obesity on the prevalence of type 2 diabetes in Japanese men remain unclear. Methods Hand grip strength was cross-sectionally evaluated between 2011 and 2013 to assess muscle strength in 5039 male workers aged 40 to 64 years. Weight and height were measured, and overweight/obesity was defined as a body mass index ≥25 kg/m2. The prevalence of type 2 diabetes, defined as fasting plasma glucose ≥126 mg/dL and/or hemoglobin A1c ≥6.5% and/or self-reported physician-diagnosed diabetes, was evaluated. Odds ratios (OR) and 95% confidence intervals (95% CI) for the prevalence of type 2 diabetes were obtained using a logistic regression model. Results In total, 611 participants had type 2 diabetes, and 1763 participants were overweight/obese. After adjustment for covariates, we found an inverse association between muscle strength and the prevalence of type 2 diabetes (P for trend <0.01). In addition, when the analyses were stratified by obesity status, the multivariable-adjusted OR per 2-standard-deviation increase in muscle strength was 0.64 (95% CI, 0.49–0.83) in the overweight/obese group, compared to a weaker relationship in the normal-weight group (OR 0.79 per 2-standard-deviation increase; 95% CI, 0.60–1.06). Conclusions Dynapenia, an age-related decrease in muscle strength, is associated with increased prevalence of type 2 diabetes, and this relationship is stronger in overweight/obese middle-aged Japanese men than in normal-weight men. PMID:26256772

Overweight in adolescents: differences per type of education. Does one size fit all?

PubMed

Vissers, Dirk; Devoogdt, Nele; Gebruers, Nick; Mertens, Ilse; Truijen, Steven; Van Gaal, Luc

2008-01-01

To assess the lifestyle and prevalence of overweight among 16- to 18-year-old adolescents attending 4 different types of secondary education (SE). Cross-sectional school-based survey. A community sample of 994 adolescents (body mass index [BMI]: 15-43 kg/m2). Overweight and obesity were assessed by BMI. Health-related quality of life (HRQL) was assessed using the 36-item short-form (SF-36) questionnaire. The Dutch eating behavior questionnaire was administered. Lifestyle was assessed using the Baecke questionnaire and self-reported activities. Prevalence of overweight, HRQL and lifestyle were assessed per type of education. Gender differences and differences between BMI-categories were analyzed. Students in Vocational SE were significantly more likely to be overweight (18%) or obese (7.5%) compared to students in other types of SE (chi square-27.0, P < .001). HRQL was significantly lower among obese girls compared to overweight (P = .009) or normal weight girls (P < .01). Obese and overweight adolescents scored higher in restrained eating than their normal weight peers (P < .001) but lower in externally induced eating (P = .001). Lifestyle and prevalence of overweight and obesity seems to differ between different types of education. This could be of importance when making health policy decisions. Health programs should focus on types of education with the highest prevalence of overweight and obesity and should be tailor-made to the specific needs of the targeted type of education.

Obesity: Pathophysiology and Intervention

PubMed Central

Zhang, Yi; Liu, Ju; Yao, Jianliang; Ji, Gang; Qian, Long; Wang, Jing; Zhang, Guansheng; Tian, Jie; Nie, Yongzhan; Zhang, Yi Edi.; Gold, Mark S.; Liu, Yijun

2014-01-01

Obesity presents a major health hazard of the 21st century. It promotes co-morbid diseases such as heart disease, type 2 diabetes, obstructive sleep apnea, certain types of cancer, and osteoarthritis. Excessive energy intake, physical inactivity, and genetic susceptibility are main causal factors for obesity, while gene mutations, endocrine disorders, medication, or psychiatric illnesses may be underlying causes in some cases. The development and maintenance of obesity may involve central pathophysiological mechanisms such as impaired brain circuit regulation and neuroendocrine hormone dysfunction. Dieting and physical exercise offer the mainstays of obesity treatment, and anti-obesity drugs may be taken in conjunction to reduce appetite or fat absorption. Bariatric surgeries may be performed in overtly obese patients to lessen stomach volume and nutrient absorption, and induce faster satiety. This review provides a summary of literature on the pathophysiological studies of obesity and discusses relevant therapeutic strategies for managing obesity. PMID:25412152

Effect of BMI and binge eating on food reward and energy intake: further evidence for a binge eating subtype of obesity.

PubMed

Dalton, Michelle; Blundell, John; Finlayson, Graham

2013-01-01

The psychological characteristics of binge eating have been proposed as a phenotype to further understanding of overconsumption and susceptibility to obesity. This study examined the influence of trait binge eating in lean and overweight or obese women on appetite, food reward and energy intake. 25 lean and 25 overweight or obese women were categorised as either 'binge type' or 'non-binge type' based on their scores on the Binge Eating Scale. Food reward and food intake were assessed in fasted and fed conditions. Overweight or obese binge types (O-B) consumed more energy than overweight or obese non-binge types (O-NB) and lean binge (L-B) and non-binge types (L-NB). Both L-B and O-B exhibited greater preference for sweet foods. In O-NB, L-B and L-NB, lower liking and wanting for sweet foods was exhibited in the fed condition compared to the fasted condition. However, in O-B wanting for sweet foods was greater when they were fed compared to when they were in a fasted state. These findings provide further support for trait binge eating as a hedonic subtype of obesity. Binge types were characterised by greater intake of high-fat sweet foods and increased wanting for these foods when satiated. Additionally, these findings highlight the potential for separation in liking and wanting for food as a marker of susceptibility to overeat.

Energy restriction and Roux-en-Y gastric bypass reduce postprandial α-dicarbonyl stress in obese women with type 2 diabetes.

PubMed

Maessen, Dionne E; Hanssen, Nordin M; Lips, Mirjam A; Scheijen, Jean L; Willems van Dijk, Ko; Pijl, Hanno; Stehouwer, Coen D; Schalkwijk, Casper G

2016-09-01

Dicarbonyl compounds are formed as byproducts of glycolysis and are key mediators of diabetic complications. However, evidence of postprandial α-dicarbonyl formation in humans is lacking, and interventions to reduce α-dicarbonyls have not yet been investigated. Therefore, we investigated postprandial α-dicarbonyl levels in obese women without and with type 2 diabetes. Furthermore, we evaluated whether a diet very low in energy (very low calorie diet [VLCD]) or Roux-en-Y gastric bypass (RYGB) reduces α-dicarbonyl stress in obese women with type 2 diabetes. In lean (n = 12) and obese women without (n = 27) or with type 2 diabetes (n = 27), we measured the α-dicarbonyls, methylglyoxal (MGO), glyoxal (GO) and 3-deoxyglucosone (3-DG), and glucose in fasting and postprandial plasma samples obtained during a mixed meal test. Obese women with type 2 diabetes underwent either a VLCD or RYGB. Three weeks after the intervention, individuals underwent a second mixed meal test. Obese women with type 2 diabetes had higher fasting and particularly higher postprandial plasma α-dicarbonyl levels, compared with those without diabetes. After three weeks of a VLCD, postprandial α-dicarbonyl levels in diabetic women were significantly reduced (AUC MGO -14%, GO -16%, 3-DG -25%), mainly through reduction of fasting plasma α-dicarbonyls (MGO -13%, GO -13%, 3-DG -33%). Similar results were found after RYGB. This study shows that type 2 diabetes is characterised by increased fasting and postprandial plasma α-dicarbonyl stress, which can be reduced by improving glucose metabolism through a VLCD or RYGB. These data highlight the potential to reduce reactive α-dicarbonyls in obese individuals with type 2 diabetes. ClinicalTrials.gov NCT01167959.

The sexual dimorphism of obesity

PubMed Central

Palmer, Biff F.; Clegg, Deborah J.

2015-01-01

The NIH has recently highlighted the importance of sexual dimorphisms and has mandated inclusion of both sexes in clinical trials and basic research. In this review we highlight new and novel ways sex hormones influence body adiposity and the metabolic syndrome. Understanding how and why metabolic processes differ by sex will enable clinicians to target and personalize therapies based on gender. Adipose tissue function and deposition differ by sex. Females differ with respect to distribution of adipose tissues, males tend to accrue more visceral fat, leading to the classic android body shape which has been highly correlated to increased cardiovascular risk; whereas females accrue more fat in the subcutaneous depot prior to menopause, a feature which affords protection from the negative consequences associated with obesity and the metabolic syndrome. After menopause, fat deposition and accrual shift to favor the visceral depot. This shift is accompanied by a parallel increase in metabolic risk reminiscent to that seen in men. A full understanding of the physiology behind why, and by what mechanisms, adipose tissues accumulate in specific depots and how these depots differ metabolically by sex is important in efforts of prevention of obesity and chronic disease. Estrogens, directly or through activation of their receptors on adipocytes and in adipose tissues, facilitate adipose tissue deposition and function. Evidence suggests that estrogens augment the sympathetic tone differentially to the adipose tissue depots favoring lipid accumulation in the subcutaneous depot in women and visceral fat deposition in men. At the level of adipocyte function, estrogens and their receptors influence the expandability of fat cells enhancing the expandability in the subcutaneous depot and inhibiting it in the visceral depot. Sex hormones clearly influence adipose tissue function and deposition, determining how to capture and utilize their function in a time of caloric surfeit, requires more information. The key will be harnessing the beneficial effects of sex hormones in such a way as to provide ‘healthy’ adiposity. PMID:25578600

Stratifying type 2 diabetes cases by BMI identifies genetic risk variants in LAMA1 and enrichment for risk variants in lean compared to obese cases.

PubMed

Perry, John R B; Voight, Benjamin F; Yengo, Loïc; Amin, Najaf; Dupuis, Josée; Ganser, Martha; Grallert, Harald; Navarro, Pau; Li, Man; Qi, Lu; Steinthorsdottir, Valgerdur; Scott, Robert A; Almgren, Peter; Arking, Dan E; Aulchenko, Yurii; Balkau, Beverley; Benediktsson, Rafn; Bergman, Richard N; Boerwinkle, Eric; Bonnycastle, Lori; Burtt, Noël P; Campbell, Harry; Charpentier, Guillaume; Collins, Francis S; Gieger, Christian; Green, Todd; Hadjadj, Samy; Hattersley, Andrew T; Herder, Christian; Hofman, Albert; Johnson, Andrew D; Kottgen, Anna; Kraft, Peter; Labrune, Yann; Langenberg, Claudia; Manning, Alisa K; Mohlke, Karen L; Morris, Andrew P; Oostra, Ben; Pankow, James; Petersen, Ann-Kristin; Pramstaller, Peter P; Prokopenko, Inga; Rathmann, Wolfgang; Rayner, William; Roden, Michael; Rudan, Igor; Rybin, Denis; Scott, Laura J; Sigurdsson, Gunnar; Sladek, Rob; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Tuomilehto, Jaakko; Uitterlinden, Andre G; Vivequin, Sidonie; Weedon, Michael N; Wright, Alan F; Hu, Frank B; Illig, Thomas; Kao, Linda; Meigs, James B; Wilson, James F; Stefansson, Kari; van Duijn, Cornelia; Altschuler, David; Morris, Andrew D; Boehnke, Michael; McCarthy, Mark I; Froguel, Philippe; Palmer, Colin N A; Wareham, Nicholas J; Groop, Leif; Frayling, Timothy M; Cauchi, Stéphane

2012-05-01

Common diseases such as type 2 diabetes are phenotypically heterogeneous. Obesity is a major risk factor for type 2 diabetes, but patients vary appreciably in body mass index. We hypothesized that the genetic predisposition to the disease may be different in lean (BMI<25 Kg/m²) compared to obese cases (BMI≥30 Kg/m²). We performed two case-control genome-wide studies using two accepted cut-offs for defining individuals as overweight or obese. We used 2,112 lean type 2 diabetes cases (BMI<25 kg/m²) or 4,123 obese cases (BMI≥30 kg/m²), and 54,412 un-stratified controls. Replication was performed in 2,881 lean cases or 8,702 obese cases, and 18,957 un-stratified controls. To assess the effects of known signals, we tested the individual and combined effects of SNPs representing 36 type 2 diabetes loci. After combining data from discovery and replication datasets, we identified two signals not previously reported in Europeans. A variant (rs8090011) in the LAMA1 gene was associated with type 2 diabetes in lean cases (P = 8.4×10⁻⁹, OR = 1.13 [95% CI 1.09-1.18]), and this association was stronger than that in obese cases (P = 0.04, OR = 1.03 [95% CI 1.00-1.06]). A variant in HMG20A--previously identified in South Asians but not Europeans--was associated with type 2 diabetes in obese cases (P = 1.3×10⁻⁸, OR = 1.11 [95% CI 1.07-1.15]), although this association was not significantly stronger than that in lean cases (P = 0.02, OR = 1.09 [95% CI 1.02-1.17]). For 36 known type 2 diabetes loci, 29 had a larger odds ratio in the lean compared to obese (binomial P = 0.0002). In the lean analysis, we observed a weighted per-risk allele OR = 1.13 [95% CI 1.10-1.17], P = 3.2×10⁻¹⁴. This was larger than the same model fitted in the obese analysis where the OR = 1.06 [95% CI 1.05-1.08], P = 2.2×10⁻¹⁶. This study provides evidence that stratification of type 2 diabetes cases by BMI may help identify additional risk variants and that lean cases may have a stronger genetic predisposition to type 2 diabetes.

minimega v. 3.0

DOE Office of Scientific and Technical Information (OSTI.GOV)

Crussell, Jonathan; Erickson, Jeremy; Fritz, David

minimega is an emulytics platform for creating testbeds of networked devices. The platoform consists of easily deployable tools to facilitate bringing up large networks of virtual machines including Windows, Linux, and Android. minimega allows experiments to be brought up quickly with almost no configuration. minimega also includes tools for simple cluster, management, as well as tools for creating Linux-based virtual machines. This release of minimega includes new emulated sensors for Android devices to improve the fidelity of testbeds that include mobile devices. Emulated sensors include GPS and

Android Based Area Web Monitoring

NASA Astrophysics Data System (ADS)

Kanigoro, Bayu; Galih Salman, Afan; Moniaga, Jurike V.; Chandra, Eric; Rezky Chandra, Zein

2014-03-01

The research objective is to develop an application that can be used in the monitoring of an area by using a webcam. It aims to create a sense of security on the user's application because it can monitor an area using mobile phone anywhere. The results obtained in this study is to create an area with a webcam monitoring application that can be accessed anywhere as long as the monitoring results have internet access and can also be accessed through Android Based Mobile Phone.

IL-33 Drives Augmented Responses to Ozone in Obese Mice

PubMed Central

Mathews, Joel A.; Krishnamoorthy, Nandini; Kasahara, David Itiro; Cho, Youngji; Wurmbrand, Allison Patricia; Ribeiro, Luiza; Smith, Dirk; Umetsu, Dale; Levy, Bruce D.; Shore, Stephanie Ann

2016-01-01

Background: Ozone increases IL-33 in the lungs, and obesity augments the pulmonary effects of acute ozone exposure. Objectives: We assessed the role of IL-33 in the augmented effects of ozone observed in obese mice. Methods: Lean wildtype and obese db/db mice were pretreated with antibodies blocking the IL-33 receptor, ST2, and then exposed to ozone (2 ppm for 3 hr). Airway responsiveness was assessed, bronchoalveolar lavage (BAL) was performed, and lung cells harvested for flow cytometry 24 hr later. Effects of ozone were also assessed in obese and lean mice deficient in γδ T cells and their wildtype controls. Results and Discussion: Ozone caused greater increases in BAL IL-33, neutrophils, and airway responsiveness in obese than lean mice. Anti-ST2 reduced ozone-induced airway hyperresponsiveness and inflammation in obese mice but had no effect in lean mice. Obesity also augmented ozone-induced increases in BAL CXCL1 and IL-6, and in BAL type 2 cytokines, whereas anti-ST2 treatment reduced these cytokines. In obese mice, ozone increased lung IL-13+ innate lymphoid cells type 2 (ILC2) and IL-13+ γδ T cells. Ozone increased ST2+ γδ T cells, indicating that these cells can be targets of IL-33, and γδ T cell deficiency reduced obesity-related increases in the response to ozone, including increases in type 2 cytokines. Conclusions: Our data indicate that IL-33 contributes to augmented responses to ozone in obese mice. Obesity and ozone also interacted to promote type 2 cytokine production in γδ T cells and ILC2 in the lungs, which may contribute to the observed effects of IL-33. Citation: Mathews JA, Krishnamoorthy N, Kasahara DI, Cho Y, Wurmbrand AP, Ribeiro L, Smith D, Umetsu D, Levy BD, Shore SA. 2017. IL-33 drives augmented responses to ozone in obese mice. Environ Health Perspect 125:246–253; http://dx.doi.org/10.1289/EHP272 PMID:27472835

Bariatric Surgery in Type 1 Diabetes Mellitus: A Systematic Review.

PubMed

Mahawar, Kamal K; De Alwis, Nimantha; Carr, William R J; Jennings, Neil; Schroeder, Norbert; Small, Peter K

2016-01-01

Bariatric surgery is recognised as an effective treatment strategy for obese patients with type 2 diabetes mellitus. An increasing number of patients with type 1 diabetes mellitus also suffer with obesity and obesity-associated comorbidities but the role of bariatric and metabolic surgery in this group of patients is unclear. This systematic review investigates published English language scientific literature to understand the results of bariatric surgery in obese patients with type 1 diabetes mellitus. We found that these patients can experience significant weight loss and comorbidity resolution with bariatric surgery. Though most patients also see a decline in total insulin requirement, glycaemic control remains difficult. Most of the patients reported in literature have undergone gastric bypass but data is insufficient to recommend any particular procedure.

Obesity, insulin resistance, and type 1 diabetes mellitus.

PubMed

Polsky, Sarit; Ellis, Samuel L

2015-08-01

To summarize recent studies about obesity, insulin resistance, and type 1 diabetes mellitus (T1DM). Overweight and obesity continue to be prevalent among individuals with T1DM. Obesity rates appear to have reached a plateau among children with T1DM in some parts of the world. The risk for development of T1DM is increased by obesity and may occur at an earlier age among obese individuals with a predisposition. Obesity increases the risk for comorbidities among individuals with T1DM, especially metabolic syndrome, and microvascular and macrovascular diseases. Metformin, glucagon-like peptide-1 agonist therapy, sodium glucose cotransporter-2 inhibitor therapy, and bariatric surgery may be beneficial therapies for glucose control, comorbidity management, and obesity among adults with T1DM. Insulin resistance may be improved among obese individuals with T1DM by biguanides (metformin) and glucagon-like peptide-1 agonists (exenatide). We review the last 18 months of literature on obesity, insulin resistance, and T1DM to highlight new epidemiologic results and treatments.

Development and Evaluation of an Obesity Ontology for Social Big Data Analysis.

PubMed

Kim, Ae Ran; Park, Hyeoun-Ae; Song, Tae-Min

2017-07-01

The aim of this study was to develop and evaluate an obesity ontology as a framework for collecting and analyzing unstructured obesity-related social media posts. The obesity ontology was developed according to the 'Ontology Development 101'. The coverage rate of the developed ontology was examined by mapping concepts and terms of the ontology with concepts and terms extracted from obesity-related Twitter postings. The structure and representative ability of the ontology was evaluated by nurse experts. We applied the ontology to the density analysis of keywords related to obesity types and management strategies and to the sentiment analysis of obesity and diet using social big data. The developed obesity ontology was represented by 8 superclasses and 124 subordinate classes. The superclasses comprised 'risk factors,' 'types,' 'symptoms,' 'complications,' 'assessment,' 'diagnosis,' 'management strategies,' and 'settings.' The coverage rate of the ontology was 100% for the concepts and 87.8% for the terms. The evaluation scores for representative ability were higher than 4.0 out of 5.0 for all of the evaluation items. The density analysis of keywords revealed that the top-two posted types of obesity were abdomen and thigh, and the top-three posted management strategies were diet, exercise, and dietary supplements or drug therapy. Positive expressions of obesity-related postings has increased annually in the sentiment analysis. It was found that the developed obesity ontology was useful to identify the most frequently used terms on obesity and opinions and emotions toward obesity posted by the geneal population on social media.

Implementation and Analysis of Real-Time Streaming Protocols.

PubMed

Santos-González, Iván; Rivero-García, Alexandra; Molina-Gil, Jezabel; Caballero-Gil, Pino

2017-04-12

Communication media have become the primary way of interaction thanks to the discovery and innovation of many new technologies. One of the most widely used communication systems today is video streaming, which is constantly evolving. Such communications are a good alternative to face-to-face meetings, and are therefore very useful for coping with many problems caused by distance. However, they suffer from different issues such as bandwidth limitation, network congestion, energy efficiency, cost, reliability and connectivity. Hence, the quality of service and the quality of experience are considered the two most important issues for this type of communication. This work presents a complete comparative study of two of the most used protocols of video streaming, Real Time Streaming Protocol (RTSP) and the Web Real-Time Communication (WebRTC). In addition, this paper proposes two new mobile applications that implement those protocols in Android whose objective is to know how they are influenced by the aspects that most affect the streaming quality of service, which are the connection establishment time and the stream reception time. The new video streaming applications are also compared with the most popular video streaming applications for Android, and the experimental results of the analysis show that the developed WebRTC implementation improves the performance of the most popular video streaming applications with respect to the stream packet delay.

Application of 4G wireless network-based system for remote diagnosis and nursing of stomal complications

PubMed Central

Xu, Xiulian; Cao, Yingjuan; Luan, Xiaorong

2014-01-01

Background: This study aims to apply 4G wireless network in the remote diagnosis of stoma complications for the first time. Background: Remote diagnosis and nursing care for a variety of illnesses are urgently needed in clinical settings. Objectives: Combining with relevant clinical manifestations, an Android phone-based intelligent diagnosis system was designed to construct a universe, easy access to exploitation and human-computer interaction database and exploitation environment for applications and programs. Methods: “Production rule” and forward reasoning method were utilized to design arborescence structures and logic reasoner associated with stoma complications. Stoma physicians were responsible for delivering evaluation scores on patients’ health status using analytic hierarchy process. The emphasis of this study is to exploit an “Android phone-based system for remote diagnosis of stoma”, which is of certain universe usage. Results: Such system was tested in the Medicine Information Center of Qilu Hospital of Shandong University and initially applied in the city of De Zhou, Shandong province, China. Conclusions: These results collectively demonstrated that the system is easy to carry, of high utility and free from the limitations of wire network environment, etc. It provides clinical evidence for establishing a novel type model for the exchange between patients and physicians. PMID:25550986

Predicting Smartphone Operating System from Personality and Individual Differences.

PubMed

Shaw, Heather; Ellis, David A; Kendrick, Libby-Rae; Ziegler, Fenja; Wiseman, Richard

2016-12-01

Android and iPhone devices account for over 90 percent of all smartphones sold worldwide. Despite being very similar in functionality, current discourse and marketing campaigns suggest that key individual differences exist between users of these two devices; however, this has never been investigated empirically. This is surprising, as smartphones continue to gain momentum across a variety of research disciplines. In this article, we consider if individual differences exist between these two distinct groups. In comparison to Android users, we found that iPhone owners are more likely to be female, younger, and increasingly concerned about their smartphone being viewed as a status object. Key differences in personality were also observed with iPhone users displaying lower levels of Honesty-Humility and higher levels of emotionality. Following this analysis, we were also able to build and test a model that predicted smartphone ownership at above chance level based on these individual differences. In line with extended self-theory, the type of smartphone owned provides some valuable information about its owner. These findings have implications for the increasing use of smartphones within research particularly for those working within Computational Social Science and PsychoInformatics, where data are typically collected from devices and applications running a single smartphone operating system.

Association of Oxidative Stress and Obesity with Insulin Resistance in Type 2 Diabetes Mellitus.

PubMed

Das, P; Biswas, S; Mukherjee, S; Bandyopadhyay, S K

2016-01-01

Oxidative stress occurs due to delicate imbalance between pro-oxidant and anti oxidant forces in our system. It has been found to be associated with many morbidities but its association with obesity and insulin resistance is still controversial. Here in our study we examined 167 patients of recent onset type 2 diabetes mellitus and 60 age sex matched non-diabetic control. Body Mass Index (BMI), abdominal circumference, fasting blood glucose, serum insulin and plasma Malondealdehyde (MDA, marker for oxidative stress) were measured in them. On the basis of BMI, subjects were divided into obese (BMI≥25) and non obese (BMI<25) groups. Insulin resistance scores were calculated by Homeostatic Model Assessment-Insulin Resistance (HOMA-IR) method. Physical parameters (BMI, abdominal circumference) as well as levels of insulin and MDA were found to be significantly higher in subjects with diabetes than their non diabetic controls. The said parameters also showed significant difference in obese and non-obese sub groups. Insulin resistance score showed positive correlation with BMI, abdominal circumference, and plasma MDA, strength of association being highest with abdominal circumference. Plasma MDA was found to have positive correlation with physical parameters. Study concludes that, obesity mainly central type may predispose to insulin resistance and oxidative stress may be a crucial factor in its pathogenesis. Thus, oxidative stress may be the connecting link between obesity and type 2 diabetes mellitus, two on going global epidemics.

Help Me Please!: Designing and Developing Application for Emergencies

NASA Astrophysics Data System (ADS)

Hong, Ng Ken; Hafit, Hanayanti; Wahid, Norfaradilla; Kasim, Shahreen; Yusof, Munirah Mohd

2017-08-01

Help Me Please! Application is an android platform emergency button application that is designed to transmit emergency messages to target receivers with real time information. The purpose of developing this application is to help people to notify any emergency circumstances via Short Message Service (SMS) in android platform. The application will receive the current location from Global Positioning System (GPS), will obtain the current time from the mobile device and send this information to the receivers when user presses the emergency button. Simultaneously, the application will keep sending the emergency alerts to receivers and will update to database based on the time interval set by user until user stop the function. Object-oriented Software Development model is employed to guide the development of this application with the knowledge of Java language and Android Studio. In conclusion, this application plays an important role in rescuing process when emergency circumstances happen. The rescue process will become more effective by notifying the emergency circumstances and send the current location of user to others in the early hours.

Automated hydroponics nutrition plants systems using arduino uno microcontroller based on android

NASA Astrophysics Data System (ADS)

Sihombing, P.; Karina, N. A.; Tarigan, J. T.; Syarif, M. I.

2018-03-01

Technological developments today make the combination of science is very common, including in Computer Science and Agriculture to make both of science need each other. This paper aims to develop a control tool for the flow of nutrients of hydroponic plants automatically using Arduino microcontroller and controlled by smartphone. We use an Arduino Uno microcontroller to automatically control the flow of nutrient solution with logic if else. The microcontroller can also send data of fluid level (solution) and temperature around the plant to smartphone android of the owner of the hydroponics plant. The height of the nutrient solution (water) is detected by the Ultrasonic sensor HC-SR04 and the temperature is detected by the temperature sensor LM35. Data from the sensor will forward into Arduino Uno and displayed in liquid crystal display (LCD) then via wireless fidelity (WIFI) ESP8266 module will transmit the height of the nutrient solution and the temperature around of the plants to Android smartphone.

Design of an accurate wireless data logger for vibration analysis with Android interface.

PubMed

Blanco, J R; Menéndez, J; Ferrero, F J; Campo, J C; Valledor, M

2016-12-01

In this work a new accurate wireless data logger using the Android interface was developed to monitor vibrations at low-cost. The new data logger is completely autonomous and extremely reduced in size. This instrument enables data collection wirelessly and the ability to display it on any tablet or smartphone with operating system Android. The prototype allows the monitoring of any industrial system with minimal investment in material and installation costs. The data logger is capable of making 12.8 kSPS enough to sample up to 5 kHz signals. The basic specification of the data logger includes a high resolution 1-axis piezoelectric accelerometer with a working range of ±30 G. In addition to the acceleration measurements, temperature can also be recorded. The data logger was tested during a 6-month period in industrial environments. The details of the specific hardware and software design are described. The proposed technology can be easily transferred to many other areas of industrial monitoring.

A concept of dynamic permission mechanism on android

NASA Astrophysics Data System (ADS)

Aron, Lukas; Hanacek, Petr

2016-02-01

This paper discuss the main security topic in mobile security area and this topic is protect user against the leakage of data. This work primarily contains the proposal of concept of dynamic permission mechanism for Android operating system. This mechanism deals with assignment or enforcement permissions to the application according to files that the application works with. Application has set of permissions that can use, but if the user opens confident files the application permissions should change its permission set and there should not be possible leakage of this secret data. The permissions set should be stricter according to opened confidential file or more open (without restriction) if the file is not secret file. The concept proposes the solution for protecting this data leakage. Idea covers rule that user should be avoided of change this permissions himself, but this behavior should be dynamic, automatic and independent. This proposal is mainly aimed to Android operating system, but the concept can be applied to other mobile platforms with some implementation changes.

Near field communication (NFC) model for arduino uno based security systems office system

NASA Astrophysics Data System (ADS)

Chairunnas, A.; Abdurrasyid, I.

2018-03-01

Currently, many offices or companies that start growing rapidly in a company or office should have a very limited room to enter only people entitled to enter the room and use the facilities contained in it, for example, Files in it must have many files and documents very important because to reduce the abuse of files and irresponsible person. Because it will be made room door security system by using Near Field Communication on android smartphone. Software used is Arduino IDE. The tools used in this system are Arduino Uno R3, NFC shield, pear sensor, bell, led, servo, 16 × 2 LCD, and Near Field Communication (NFC) in android smartphone. This system runs based on 2 inputs of a new technology that is Near Field Communication (NFC) in android smartphone. And also use pear sensor to detect unauthorized person entering the room. If the correct password is entered then the door will open and the pear sensor will light off if wrong then the bell will light up.

Destination Information System for Bandung City Using Location-Based Services (LBS) on Android

NASA Astrophysics Data System (ADS)

Kurniawan, B.; Pranoto, H.

2018-02-01

Bandung is a city in West Java, Indonesia with many interesting locations to visit. For most favourite destinations, we can easily look for it on Google and we will find some blogs there discussing about related content. The problem is we can not guarantee that the destination is frequented by visitor. In this research, we utilizes an application to help everyone choosing destination frequented by visitor. The use of information technology in the form of picture, maps, and textual on Android application makes it possible for user to have information about destination with its visitor in a period of time. If destination has visit history, selection of proper destination will be given with fresh informations. This application can run well on Android Lollipop (API Level 21) or above with a minimum RAM of 2 GB since it will compare two coordinates for every data. The use of this app make it possible to access information about location with its visitor history and could help choosing proper destinations for the users.

Interactive relations of type 2 diabetes and abdominal obesity to cognitive impairment: A cross-sectional study in rural area of Xi'an in China.

PubMed

Li, Yanbo; Shang, Suhang; Fei, Yulang; Chen, Chen; Jiang, Yu; Dang, Liangjun; Liu, Jie; Ma, Louyan; Wei, Meng; Qu, Qiumin

2018-01-01

Type 2 diabetes and obesity, which are frequently comorbid, have been associated with cognitive impairment. We aim to examine the potential modulating effect between obesity and diabetes on cognitive impairment. We recruited 865 adults (aged ≥55years) lived in a village of Xi'an in China from October 2014 to March 2015. All participants underwent biomedical and neuropsychological assessment. Relations of diabetes and abdominal obesity to cognitive impairment were examined in multiple regression models. A total of 155 participants (17.9%) presented with the diagnosis of cognitive impairment. Diabetes or obesity alone wasn't significantly associated with cognitive impairment. Interaction analysis showed a significant interaction between abdominal obesity and diabetes on cognitive impairment. Stratified multivariate analysis revealed that the association between diabetes and cognitive impairment was positive in participants with abdominal obesity (OR 2.436, 95% CI 1.345-4.411, p=0.003, in diabetics with high WC, and OR 2.348, 95% CI 1.373-4.014, p=0.002, in diabetics with high WHR), but negative in those without abdominal obesity. Type 2 diabetes interacts with abdominal obesity to be associated with an increased risk of cognitive impairment by more than two times. Copyright © 2017 Elsevier Inc. All rights reserved.

Do Working Hours and Type of Work Affect Obesity in South Korean Female Workers? Analysis of the Korean Community Health Survey.

PubMed

Yoon, Chang-Gyo; Kang, Mo-Yeol; Bae, Kyu-Jung; Yoon, Jin-Ha

2016-02-01

The prevalence of obesity and the female labor participation rate have been rapidly increasing in South Korea. To examine the relationship between these factors, we investigated the association between timing and type of work and obesity in the Korean female working population. Data collected by the 2008 Community Health Survey (CHS) were analyzed using a complex, stratified, multistage, probability cluster sampling method. Descriptive analysis of relevant variables was performed using the chi-square test, and work-related variables by work type were identified using multivariate logistic regression. The relationship between long working hours, night/shift work, and body-mass index in female workers and explanatory, stratifying, and dependent variables and covariates was analyzed using multiple logistic regression models. A total of 42,234 CHS participants were eligible for study inclusion. Among both manual and nonmanual workers, working less than 40 (adjusted odds ratio [aOR] 1.18, 95% confidence interval [CI] 1.07-1.31 and aOR 1.29; 95% CI 1.09-0.52, respectively) or more than 60 (aOR 1.18, 95% CI 1.06-1.30 and aOR 1.28, 95% CI 1.04-1.57, respectively) hours per week was significantly associated with obesity after controlling for covariates. However, working type (day or night/shift) was significantly associated with obesity only in nonmanual workers (aOR 1.20, 95% CI 1.01-1.42). When we controlled working type in the model, manual workers who work more than 60 hours show higher likelihood of being obese (OR 1.10, 95% CI 1.02-1.18). Working fewer (<40) or more than (>60) hours per week is significantly associated with obesity in the Korean female working population, regardless of the type of work. The type of work (day vs. night/shift work) was significantly associated with obesity only in only nonmanual workers.

CAreDroid: Adaptation Framework for Android Context-Aware Applications

PubMed Central

Elmalaki, Salma; Wanner, Lucas; Srivastava, Mani

2015-01-01

Context-awareness is the ability of software systems to sense and adapt to their physical environment. Many contemporary mobile applications adapt to changing locations, connectivity states, available computational and energy resources, and proximity to other users and devices. Nevertheless, there is little systematic support for context-awareness in contemporary mobile operating systems. Because of this, application developers must build their own context-awareness adaptation engines, dealing directly with sensors and polluting application code with complex adaptation decisions. In this paper, we introduce CAreDroid, which is a framework that is designed to decouple the application logic from the complex adaptation decisions in Android context-aware applications. In this framework, developers are required— only—to focus on the application logic by providing a list of methods that are sensitive to certain contexts along with the permissible operating ranges under those contexts. At run time, CAreDroid monitors the context of the physical environment and intercepts calls to sensitive methods, activating only the blocks of code that best fit the current physical context. CAreDroid is implemented as part of the Android runtime system. By pushing context monitoring and adaptation into the runtime system, CAreDroid eases the development of context-aware applications and increases their efficiency. In particular, case study applications implemented using CAre-Droid are shown to have: (1) at least half lines of code fewer and (2) at least 10× more efficient in execution time compared to equivalent context-aware applications that use only standard Android APIs. PMID:26834512

Learning Application of Astronomy Based Augmented Reality using Android Platform

NASA Astrophysics Data System (ADS)

Maleke, B.; Paseru, D.; Padang, R.

2018-02-01

Astronomy is a branch of science involving observations of celestial bodies such as stars, planets, nebular comets, star clusters, and galaxies as well as natural phenomena occurring outside the Earth’s atmosphere. The way of learning of Astronomy is quite varied, such as by using a book or observe directly with a telescope. But both ways of learning have shortcomings, for example learning through books is only presented in the form of interesting 2D drawings. While learning with a telescope requires a fairly expensive cost to buy the equipment. This study will present a more interesting way of learning from the previous one, namely through Augmented Reality (AR) application using Android platform. Augmented Reality is a combination of virtual world (virtual) and real world (real) made by computer. Virtual objects can be text, animation, 3D models or videos that are combined with the actual environment so that the user feels the virtual object is in his environment. With the use of the Android platform, this application makes the learning method more interesting because it can be used on various Android smartphones so that learning can be done anytime and anywhere. The methodology used in making applications is Multimedia Lifecycle, along with C # language for AR programming and flowchart as a modelling tool. The results of research on some users stated that this application can run well and can be used as an alternative way of learning Astronomy with more interesting.

Architecture for high performance stereoscopic game rendering on Android

NASA Astrophysics Data System (ADS)

Flack, Julien; Sanderson, Hugh; Shetty, Sampath

2014-03-01

Stereoscopic gaming is a popular source of content for consumer 3D display systems. There has been a significant shift in the gaming industry towards casual games for mobile devices running on the Android™ Operating System and driven by ARM™ and other low power processors. Such systems are now being integrated directly into the next generation of 3D TVs potentially removing the requirement for an external games console. Although native stereo support has been integrated into some high profile titles on established platforms like Windows PC and PS3 there is a lack of GPU independent 3D support for the emerging Android platform. We describe a framework for enabling stereoscopic 3D gaming on Android for applications on mobile devices, set top boxes and TVs. A core component of the architecture is a 3D game driver, which is integrated into the Android OpenGL™ ES graphics stack to convert existing 2D graphics applications into stereoscopic 3D in real-time. The architecture includes a method of analyzing 2D games and using rule based Artificial Intelligence (AI) to position separate objects in 3D space. We describe an innovative stereo 3D rendering technique to separate the views in the depth domain and render directly into the display buffer. The advantages of the stereo renderer are demonstrated by characterizing the performance in comparison to more traditional render techniques, including depth based image rendering, both in terms of frame rates and impact on battery consumption.

CAreDroid: Adaptation Framework for Android Context-Aware Applications.

PubMed

Elmalaki, Salma; Wanner, Lucas; Srivastava, Mani

2015-09-01

Context-awareness is the ability of software systems to sense and adapt to their physical environment. Many contemporary mobile applications adapt to changing locations, connectivity states, available computational and energy resources, and proximity to other users and devices. Nevertheless, there is little systematic support for context-awareness in contemporary mobile operating systems. Because of this, application developers must build their own context-awareness adaptation engines, dealing directly with sensors and polluting application code with complex adaptation decisions. In this paper, we introduce CAreDroid, which is a framework that is designed to decouple the application logic from the complex adaptation decisions in Android context-aware applications. In this framework, developers are required- only-to focus on the application logic by providing a list of methods that are sensitive to certain contexts along with the permissible operating ranges under those contexts. At run time, CAreDroid monitors the context of the physical environment and intercepts calls to sensitive methods, activating only the blocks of code that best fit the current physical context. CAreDroid is implemented as part of the Android runtime system. By pushing context monitoring and adaptation into the runtime system, CAreDroid eases the development of context-aware applications and increases their efficiency. In particular, case study applications implemented using CAre-Droid are shown to have: (1) at least half lines of code fewer and (2) at least 10× more efficient in execution time compared to equivalent context-aware applications that use only standard Android APIs.

Maternal overweight and obesity and risk of pre-eclampsia in women with type 1 diabetes or type 2 diabetes.

PubMed

Persson, Martina; Cnattingius, Sven; Wikström, Anna-Karin; Johansson, Stefan

2016-10-01

Women with type 1 or type 2 diabetes are at increased risk of pre-eclampsia. Overweight and obesity are associated with an increased risk of pre-eclampsia in women without diabetes. The aim of the study was to investigate the impact of maternal overweight and obesity on the risk of pre-eclampsia in women with type 1 diabetes or type 2 diabetes. In a population-based cohort study including singleton births in Sweden, we estimated the risk of pre-eclampsia among women with type 1 diabetes (n = 7062) and type 2 diabetes (n = 886), and investigated whether maternal overweight (BMI 25-29.9 kg/m(2)) and obesity (BMI ≥30.0 kg/m(2)) modified the risk. Logistic regression analyses were used to estimate crude and adjusted ORs with 95% CIs, using women without diabetes as the reference group (n = 1,509,525). Compared with women without diabetes, the adjusted ORs for pre-eclampsia in women with type 1 and type 2 diabetes were 5.74 (95% CI 5.31, 6.20) and 2.11 (95% CI 1.65, 2.70), respectively. The corresponding risks of pre-eclampsia combined with preterm birth were even higher. Risks of pre-eclampsia increased with maternal overweight (BMI 25-29.9 kg/m(2)) and obesity (BMI ≥30.0 kg/m(2)), foremost in women without diabetes, to a lesser extent in women with type 1 diabetes but not in women with type 2 diabetes. Maternal overweight and obesity increased risks of pre-eclampsia in women with type 1 diabetes but not in women with type 2 diabetes. Even so, considering associations between maternal BMI and overall maternal and offspring risk, all women (with and without diabetes) should aim for a normal weight before pregnancy.

Relationship between sleep characteristics and measures of body size and composition in a nationally-representative sample.

PubMed

Xiao, Qian; Gu, Fangyi; Caporaso, Neil; Matthews, Charles E

2016-01-01

Short sleep has been linked to obesity. However, sleep is a multidimensional behavior that cannot be characterized solely by sleep duration. There is limited study that comprehensively examined different sleep characteristics in relation to obesity. We examined various aspects of sleep in relation to adiposity in 2005-2006 NHANES participants who were 18 or older and free of cardiovascular disease, cancer, emphysema, chronic bronchitis and depression ( N  = 3995). Sleep characteristics were self-reported, and included duration, overall quality, onset latency, fragmentation, daytime sleepiness, snoring, and sleep disorders. Body measurements included weight, height, waist circumference, and dual-energy X-ray absorptiometry measured fat mass. Snoring was associated with higher BMI (adjusted difference in kg/m 2 comparing snoring for 5+ nights/week with no snoring (95 % confidence interval), 1.85 (0.88, 2.83)), larger waist circumference (cm, 4.52 (2.29, 6.75)), higher percentage of body fat (%, 1.61 (0.84, 2.38)), and higher android/gynoid ratio (0.03 (0.01, 0.06)). The associations were independent of sleep duration and sleep quality, and cannot be explained by the existence of sleep disorders such as sleep apnea. Poor sleep quality (two or more problematic sleep conditions) and short sleep duration (<6 h) were also associated with higher measures of body size and fat composition, although the effects were attenuated after snoring was adjusted. In a nationally representative sample of healthy US adults, snoring, short sleep, and poor sleep quality were associated with higher adiposity.

Effects of Canola and High-Oleic Acid Canola Oils on Abdominal Fat Mass in Individuals with Central Obesity

PubMed Central

Liu, Xiaoran; Kris-Etherton, Penny M.; West, Sheila G.; Lamarche, Benoît; Jenkins, David J. A.; Fleming, Jennifer A.; McCrea, Cindy E.; Pu, Shuaihua; Couture, Patrick; Connelly, Philip W.; Jones, Peter J. H.

2016-01-01

Objective To determine the effect of diets low in saturated fatty acids (SFA), high in monounsaturated fatty acids (MUFA) or polyunsaturated fatty acids (PUFA) on body composition in participants at risk for MetS. Methods; The present study is a randomized, crossover, controlled feeding study. Participants (n = 101, ages 49.5 ± 1.2, BMI 29.4 ± 0.4 kg/m2) were randomized to five isocaloric diets contained treatment oils: Canola, CanolaOleic, CanolaDHA, Corn/Safflower and Flax/Safflower. Each diet period was 4-week followed by a 2–4 week washout period. Results Canola (3.1 kg, p=0.026) and CanolaOleic oil diets (3.1 kg, p=0.03) reduced android fat mass compared with the Flax/Saff oil diet (3.2 kg), particularly in males. The decrease in abdominal fat mass was correlated with the reduction in blood pressure after the Canola (SBP r = 0.26, p=0.062; DBP r=0.38, p=0.0049) and CanolaOleic oil diets (SBP r = 0.39 p=0.004; DBP r=0.45, p=0.0006). The decrease in abdominal fat mass also was associated with a reduction in TG levels after the CanolaOleic oil diet (r = 0.42, p=0.002). Conclusion Diets high in MUFA (compared with PUFA) reduced central obesity with an accompanying improvement in MetS risk factors. Our findings demonstrate that diets high in MUFA may be beneficial for treating and perhaps preventing MetS. PMID:27804268

Ending SNAP subsidies for sugar-sweetened beverages could reduce obesity and type 2 diabetes.

PubMed

Basu, Sanjay; Seligman, Hilary Kessler; Gardner, Christopher; Bhattacharya, Jay

2014-06-01

To reduce obesity and type 2 diabetes rates, lawmakers have proposed modifying Supplemental Nutrition Assistance Program (SNAP) benefits to encourage healthier food choices. We examined the impact of two proposed policies: a ban on using SNAP dollars to buy sugar-sweetened beverages; and a subsidy in which for every SNAP dollar spent on fruit and vegetables, thirty cents is credited back to participants' SNAP benefit cards. We used nationally representative data and models describing obesity, type 2 diabetes, and determinants of food consumption among a sample of over 19,000 SNAP participants. We found that a ban on SNAP purchases of sugar-sweetened beverages would be expected to significantly reduce obesity prevalence and type 2 diabetes incidence, particularly among adults ages 18-65 and some racial and ethnic minorities. The subsidy policy would not be expected to have a significant effect on obesity and type 2 diabetes, given available data. Such a subsidy could, however, more than double the proportion of SNAP participants who meet federal vegetable and fruit consumption guidelines. Project HOPE—The People-to-People Health Foundation, Inc.

Do obese children with diabetic ketoacidosis have type 1 or type 2 diabetes?

PubMed

Low, Joey C; Felner, Eric I; Muir, Andrew B; Brown, Milton; Dorcelet, Margalie; Peng, Limin; Umpierrez, Guillermo E

2012-04-01

Many obese children with unprovoked diabetic ketoacidosis (DKA) display clinical features of type 2 diabetes during follow up. We describe the clinical presentation, autoimmune markers and the long-term course of obese and lean children with DKA. We reviewed the medical records on the initial acute hospitalization and outpatient follow-up care of 21 newly diagnosed obese and 20 lean children with unprovoked DKA at Emory University affiliated children's hospitals between 1/2003 and 12/2006. Obese children with DKA were older and predominantly male, had acanthosis nigricans, and had lower prevalence of autoantibodies to islet cells and glutamic acid decarboxylase than lean children. Half of the obese, but none of the lean children with DKA achieve near-normoglycemia remission and discontinued insulin therapy during follow-up. Time to achieve remission was 2.2±2.3 months. There were no differences on clinical presentation between obese children who achieved near-normoglycemia remission versus those who did not. The addition of metformin to insulin therapy shortly after resolution of DKA resulted in lower hemoglobin A1c (HbA1c) levels, higher rates of near-normoglycemia remission, and lower frequency of DKA recurrence. Near-normoglycemia remission, however, was of short duration and the majority of obese patients required reinstitution of insulin treatment within 15 months of follow-up. In contrast to lean children with DKA, many obese children with unprovoked DKA display clinical and immunologic features of type 2 diabetes during follow-up. The addition of metformin to insulin therapy shortly after resolution of DKA improves glycemic control, facilitates achieving near-normoglycemia remission and prevents DKA recurrence in obese children with DKA. Copyright © 2011 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.

Improvement of diabetes, obesity and hypertension in type 2 diabetic KKA{sup y} mice by bis(allixinato)oxovanadium(IV) complex

DOE Office of Scientific and Technical Information (OSTI.GOV)

Adachi, Yusuke; Yoshikawa, Yutaka; Yoshida, Jiro

Previously, we found that bis(allixinato)oxovanadium(IV) (VO(alx){sub 2}) exhibits a potent hypoglycemic activity in type 1-like diabetic mice. Since the enhancement of insulin sensitivity is involved in one of the mechanisms by which vanadium exerts its anti-diabetic effects, VO(alx){sub 2} was further tested in type 2 diabetes with low insulin sensitivity. The effect of oral administration of VO(alx){sub 2} was examined in obesity-linked type 2 diabetic KKA{sup y} mice. Treatment of VO(alx){sub 2} for 4 weeks normalized hyperglycemia, glucose intolerance, hyperinsulinemia, hypercholesterolemia and hypertension in KKA{sup y} mice; however, it had no effect on hypoadiponectinemia. VO(alx){sub 2} also improved hyperleptinemia, followingmore » attenuation of obesity in KKA{sup y} mice. This is the first example in which a vanadium compound improved leptin resistance in type 2 diabetes by oral administration. On the basis of these results, VO(alx){sub 2} is proposed to enhance not only insulin sensitivity but also leptin sensitivity, which in turn improves diabetes, obesity and hypertension in an obesity-linked type 2 diabetic animal.« less

Effect of acute exercise on AMPK signaling in skeletal muscle of subjects with type 2 diabetes: a time-course and dose-response study.

PubMed

Sriwijitkamol, Apiradee; Coletta, Dawn K; Wajcberg, Estela; Balbontin, Gabriela B; Reyna, Sara M; Barrientes, John; Eagan, Phyllis A; Jenkinson, Christopher P; Cersosimo, Eugenio; DeFronzo, Ralph A; Sakamoto, Kei; Musi, Nicolas

2007-03-01

Activation of AMP-activated protein kinase (AMPK) by exercise induces several cellular processes in muscle. Exercise activation of AMPK is unaffected in lean (BMI approximately 25 kg/m(2)) subjects with type 2 diabetes. However, most type 2 diabetic subjects are obese (BMI >30 kg/m(2)), and exercise stimulation of AMPK is blunted in obese rodents. We examined whether obese type 2 diabetic subjects have impaired exercise stimulation of AMPK, at different signaling levels, spanning from the upstream kinase, LKB1, to the putative AMPK targets, AS160 and peroxisome proliferator-activated receptor coactivator (PGC)-1alpha, involved in glucose transport regulation and mitochondrial biogenesis, respectively. Twelve type 2 diabetic, eight obese, and eight lean subjects exercised on a cycle ergometer for 40 min. Muscle biopsies were done before, during, and after exercise. Subjects underwent this protocol on two occasions, at low (50% Vo(2max)) and moderate (70% Vo(2max)) intensities, with a 4-6 week interval. Exercise had no effect on LKB1 activity. Exercise had a time- and intensity-dependent effect to increase AMPK activity and AS160 phosphorylation. Obese and type 2 diabetic subjects had attenuated exercise-stimulated AMPK activity and AS160 phosphorylation. Type 2 diabetic subjects had reduced basal PGC-1 gene expression but normal exercise-induced increases in PGC-1 expression. Our findings suggest that obese type 2 diabetic subjects may need to exercise at higher intensity to stimulate the AMPK-AS160 axis to the same level as lean subjects.

Effect of Acute Exercise on AMPK Signaling in Skeletal Muscle of Subjects With Type 2 Diabetes

PubMed Central

Sriwijitkamol, Apiradee; Coletta, Dawn K.; Wajcberg, Estela; Balbontin, Gabriela B.; Reyna, Sara M.; Barrientes, John; Eagan, Phyllis A.; Jenkinson, Christopher P.; Cersosimo, Eugenio; DeFronzo, Ralph A.; Sakamoto, Kei; Musi, Nicolas

2010-01-01

Activation of AMP-activated protein kinase (AMPK) by exercise induces several cellular processes in muscle. Exercise activation of AMPK is unaffected in lean (BMI ~25 kg/m2) subjects with type 2 diabetes. However, most type 2 diabetic subjects are obese (BMI >30 kg/m2), and exercise stimulation of AMPK is blunted in obese rodents. We examined whether obese type 2 diabetic subjects have impaired exercise stimulation of AMPK, at different signaling levels, spanning from the upstream kinase, LKB1, to the putative AMPK targets, AS160 and peroxisome proliferator–activated receptor coactivator (PGC)-1α, involved in glucose transport regulation and mitochondrial biogenesis, respectively. Twelve type 2 diabetic, eight obese, and eight lean subjects exercised on a cycle ergometer for 40 min. Muscle biopsies were done before, during, and after exercise. Subjects underwent this protocol on two occasions, at low (50% VO2max) and moderate (70% VO2max) intensities, with a 4–6 week interval. Exercise had no effect on LKB1 activity. Exercise had a time- and intensity-dependent effect to increase AMPK activity and AS160 phosphorylation. Obese and type 2 diabetic subjects had attenuated exercise-stimulated AMPK activity and AS160 phosphorylation. Type 2 diabetic subjects had reduced basal PGC-1 gene expression but normal exercise-induced increases in PGC-1 expression. Our findings suggest that obese type 2 diabetic subjects may need to exercise at higher intensity to stimulate the AMPK-AS160 axis to the same level as lean subjects. PMID:17327455

Obesity and Diabetes: The Increased Risk of Cancer and Cancer-Related Mortality

PubMed Central

LeRoith, Derek

2015-01-01

Obesity and type 2 diabetes are becoming increasingly prevalent worldwide, and both are associated with an increased incidence and mortality from many cancers. The metabolic abnormalities associated with type 2 diabetes develop many years before the onset of diabetes and, therefore, may be contributing to cancer risk before individuals are aware that they are at risk. Multiple factors potentially contribute to the progression of cancer in obesity and type 2 diabetes, including hyperinsulinemia and insulin-like growth factor I, hyperglycemia, dyslipidemia, adipokines and cytokines, and the gut microbiome. These metabolic changes may contribute directly or indirectly to cancer progression. Intentional weight loss may protect against cancer development, and therapies for diabetes may prove to be effective adjuvant agents in reducing cancer progression. In this review we discuss the current epidemiology, basic science, and clinical data that link obesity, diabetes, and cancer and how treating obesity and type 2 diabetes could also reduce cancer risk and improve outcomes. PMID:26084689

Prevalence of obesity was related to HLA-DQ in 2-4-year-old children at genetic risk for type 1 diabetes.

PubMed

Yang, J; Lernmark, Å; Uusitalo, U M; Lynch, K F; Veijola, R; Winkler, C; Larsson, H E; Rewers, M; She, J-X; Ziegler, A G; Simell, O G; Hagopian, W A; Akolkar, B; Krischer, J P; Vehik, K

2014-12-01

Body size is postulated to modulate type 1 diabetes as either a trigger of islet autoimmunity or an accelerator to clinical onset after seroconversion. As overweight and obesity continue to rise among children, the aim of this study was to determine whether human leukocyte antigen DQ (HLA-DQ) genotypes may be related to body size among children genetically at risk for type 1 diabetes. Repeated measures of weight and height were collected from 5969 children 2-4 years of age enrolled in The Environmental Determinants of Diabetes in the Young prospective study. Overweight and obesity was determined by the International Obesity Task Force cutoff values that correspond to body mass index (BMI) of 25 and 30 kg m(-)(2) at age 18. The average BMI was comparable across specific HLA genotypes at every age point. The proportion of overweight was not different by HL A, but percent obesity varied by age with a decreasing trend among DQ2/8 carriers (P for trend=0.0315). A multivariable regression model suggested DQ2/2 was associated with higher obesity risk at age 4 (odds ratio, 2.41; 95% confidence interval, 1.21-4.80) after adjusting for the development of islet autoantibody and/or type 1 diabetes. The HLA-DQ2/2 genotype may predispose to obesity among 2-4-year-old children with genetic risk for type 1 diabetes.

Impact of Obesity on the Management and Clinical Course of Patients with Inflammatory Bowel Disease.

PubMed

Seminerio, Jennifer L; Koutroubakis, Ioannis E; Ramos-Rivers, Claudia; Hashash, Jana G; Dudekula, Anwar; Regueiro, Miguel; Baidoo, Leonard; Barrie, Arthur; Swoger, Jason; Schwartz, Marc; Weyant, Katherine; Dunn, Michael A; Binion, David G

2015-12-01

Obesity has been linked with a proinflammatory state and the development of inflammatory diseases. Data on the clinical course and treatment of obese patients with inflammatory bowel disease (IBD) are limited. We used an institutional IBD registry to investigate the impact of obesity on IBD severity and treatment. This was a retrospective analysis of prospectively collected data for 3 years (2009-2011). Patients with IBD were categorized by body mass index (BMI). IBD-related quality of life, biochemical markers of inflammation, comorbidities, health care utilization, and treatment were characterized. Obesity was defined as a BMI ≥30 (type I: 30-34.9, type II: 35-39.9, and type III ≥40). Among 1494 patients with IBD, 71.9% were above their ideal BMI and 31.5% were obese. Obesity was more common in ulcerative colitis compared with patients with Crohn's disease (P = 0.04). Obese class II and class III patients were predominantly female. Obesity in IBD was associated with female gender (P < 0.0001), diabetes mellitus (P < 0.001), hypertension (P < 0.001), hyperlipidemia (P < 0.001), poor quality of life (P < 0.0001), and increased rates of C-reactive protein elevation (P = 0.008). In logistic regression analysis, quality of life and C-reactive protein elevation were not independently correlated with obesity. There was no association between increasing BMI and annual prednisone use, emergency department visits, hospitalization, and surgery. Obesity was associated with lower milligrams per kilogram doses of purine analogs and biologics. Obesity in IBD is not associated with increased health care utilization and IBD-related surgeries. Optimal regimens for drug dosing in obese patients with IBD have yet to be defined.

Development and Evaluation of an Obesity Ontology for Social Big Data Analysis

PubMed Central

Kim, Ae Ran; Song, Tae-Min

2017-01-01

Objectives The aim of this study was to develop and evaluate an obesity ontology as a framework for collecting and analyzing unstructured obesity-related social media posts. Methods The obesity ontology was developed according to the ‘Ontology Development 101’. The coverage rate of the developed ontology was examined by mapping concepts and terms of the ontology with concepts and terms extracted from obesity-related Twitter postings. The structure and representative ability of the ontology was evaluated by nurse experts. We applied the ontology to the density analysis of keywords related to obesity types and management strategies and to the sentiment analysis of obesity and diet using social big data. Results The developed obesity ontology was represented by 8 superclasses and 124 subordinate classes. The superclasses comprised ‘risk factors,’ ‘types,’ ‘symptoms,’ ‘complications,’ ‘assessment,’ ‘diagnosis,’ ‘management strategies,’ and ‘settings.’ The coverage rate of the ontology was 100% for the concepts and 87.8% for the terms. The evaluation scores for representative ability were higher than 4.0 out of 5.0 for all of the evaluation items. The density analysis of keywords revealed that the top-two posted types of obesity were abdomen and thigh, and the top-three posted management strategies were diet, exercise, and dietary supplements or drug therapy. Positive expressions of obesity-related postings has increased annually in the sentiment analysis. Conclusions It was found that the developed obesity ontology was useful to identify the most frequently used terms on obesity and opinions and emotions toward obesity posted by the geneal population on social media. PMID:28875050

Understanding type 2 diabetes in students with obesity and the role of the school nurse.

PubMed

Berquist, Mary Jane

2015-03-01

Co-morbidities of obesity in children mirror those seen in adults. Virtually any body system can be affected. The January 2015 issue of the NASN School Nurse featured an introductory article on childhood obesity. This article is the first of six related articles focusing on co-morbidities of childhood obesity and focuses on type 2 diabetes (T2D). School nurses can play an integral role in the identification, prevention, and treatment of childhood obesity. With one in three of our nation's school-age children diagnosed as overweight or obese, it is imperative that school nurses join families, public health agencies, and medical communities in mounting a coordinated attack against this threat. © 2015 The Author(s).

Stratifying Type 2 Diabetes Cases by BMI Identifies Genetic Risk Variants in LAMA1 and Enrichment for Risk Variants in Lean Compared to Obese Cases

PubMed Central

Perry, John R. B.; Voight, Benjamin F.; Yengo, Loïc; Amin, Najaf; Dupuis, Josée; Ganser, Martha; Grallert, Harald; Navarro, Pau; Li, Man; Qi, Lu; Steinthorsdottir, Valgerdur; Scott, Robert A.; Almgren, Peter; Arking, Dan E.; Aulchenko, Yurii; Balkau, Beverley; Benediktsson, Rafn; Bergman, Richard N.; Boerwinkle, Eric; Bonnycastle, Lori; Burtt, Noël P.; Campbell, Harry; Charpentier, Guillaume; Collins, Francis S.; Gieger, Christian; Green, Todd; Hadjadj, Samy; Hattersley, Andrew T.; Herder, Christian; Hofman, Albert; Johnson, Andrew D.; Kottgen, Anna; Kraft, Peter; Labrune, Yann; Langenberg, Claudia; Manning, Alisa K.; Mohlke, Karen L.; Morris, Andrew P.; Oostra, Ben; Pankow, James; Petersen, Ann-Kristin; Pramstaller, Peter P.; Prokopenko, Inga; Rathmann, Wolfgang; Rayner, William; Roden, Michael; Rudan, Igor; Rybin, Denis; Scott, Laura J.; Sigurdsson, Gunnar; Sladek, Rob; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Tuomilehto, Jaakko; Uitterlinden, Andre G.; Vivequin, Sidonie; Weedon, Michael N.; Wright, Alan F.; Hu, Frank B.; Illig, Thomas; Kao, Linda; Meigs, James B.; Wilson, James F.; Stefansson, Kari; van Duijn, Cornelia; Altschuler, David; Morris, Andrew D.; Boehnke, Michael; McCarthy, Mark I.; Froguel, Philippe; Palmer, Colin N. A.; Wareham, Nicholas J.; Groop, Leif

2012-01-01

Common diseases such as type 2 diabetes are phenotypically heterogeneous. Obesity is a major risk factor for type 2 diabetes, but patients vary appreciably in body mass index. We hypothesized that the genetic predisposition to the disease may be different in lean (BMI<25 Kg/m2) compared to obese cases (BMI≥30 Kg/m2). We performed two case-control genome-wide studies using two accepted cut-offs for defining individuals as overweight or obese. We used 2,112 lean type 2 diabetes cases (BMI<25 kg/m2) or 4,123 obese cases (BMI≥30 kg/m2), and 54,412 un-stratified controls. Replication was performed in 2,881 lean cases or 8,702 obese cases, and 18,957 un-stratified controls. To assess the effects of known signals, we tested the individual and combined effects of SNPs representing 36 type 2 diabetes loci. After combining data from discovery and replication datasets, we identified two signals not previously reported in Europeans. A variant (rs8090011) in the LAMA1 gene was associated with type 2 diabetes in lean cases (P = 8.4×10−9, OR = 1.13 [95% CI 1.09–1.18]), and this association was stronger than that in obese cases (P = 0.04, OR = 1.03 [95% CI 1.00–1.06]). A variant in HMG20A—previously identified in South Asians but not Europeans—was associated with type 2 diabetes in obese cases (P = 1.3×10−8, OR = 1.11 [95% CI 1.07–1.15]), although this association was not significantly stronger than that in lean cases (P = 0.02, OR = 1.09 [95% CI 1.02–1.17]). For 36 known type 2 diabetes loci, 29 had a larger odds ratio in the lean compared to obese (binomial P = 0.0002). In the lean analysis, we observed a weighted per-risk allele OR = 1.13 [95% CI 1.10–1.17], P = 3.2×10−14. This was larger than the same model fitted in the obese analysis where the OR = 1.06 [95% CI 1.05–1.08], P = 2.2×10−16. This study provides evidence that stratification of type 2 diabetes cases by BMI may help identify additional risk variants and that lean cases may have a stronger genetic predisposition to type 2 diabetes. PMID:22693455

Serum fetuin-A levels in obese and non-obese subjects with and without type 2 diabetes mellitus.

PubMed

Zhou, Zhong-Wei; Ju, Hui-Xiang; Sun, Ming-Zhong; Chen, Hong-Mei; Fu, Qing-Ping; Jiang, Dong-Mei

2018-01-01

Higher fetuin-A expression is linked to both obesity and type 2 diabetes mellitus (T2DM), However, studies in non-obese patients with T2DM are scarce. 345 newly diagnosed T2DM patients and 300 subjects with normal glucose tolerance (NGT) were divided into obese and non-obese subgroups, respectively. Serum fetuin-A and adiponectin levels and related parameters were measured. T2DM patients with obesity had higher fetuin-A levels compared with non-obese patients and obese NGT subjects (p<0.001). Significant correlations were observed between fetuin-A and most metabolic parameters in obese NGT and T2DM subjects, but which was not in non-obese patients with T2DM. The independent associations were found between fetuin-A and free fatty acids, HOMA-IR, C-reactive protein and adiponectin only in obese NGT and T2DM subjects (all p<0.05). The adjusted odds ratios for obesity were increased with increasing quartile of fetuin-A in both T2DM and NGT subjects in logistic regression models (p for trend<0.001), but which was more significant in T2DM patients. Higher serum fetuin-A levels in obese T2DM patients compared with non-obese patients and obese NGT subjects supports the hypothesis that fetuin-A may be as a bridge connecting obesity and obesity-related T2DM. Copyright © 2017 Elsevier B.V. All rights reserved.

Both paternal exercise and healthy diet are required to protect offspring from high fat diet-induced obesity and type 2 diabetes risk in mice

USDA-ARS?s Scientific Manuscript database

Objective: Paternal eating and physical activity behaviors peri-conception may influence offspring obesity and type 2 diabetes (T2D) risk. A recent study showed that paternal exercise increased offspring susceptibility to obesity when the offspring consumed a high fat (HF) diet. However, it is not y...

A National Study of Obesity Prevalence and Trends by Type of Rural County

ERIC Educational Resources Information Center

Jackson, J. Elizabeth; Doescher, Mark P.; Jerant, Anthony F.; Hart, L. Gary

2005-01-01

Context: Obesity is epidemic in the United States, but information on this trend by type of rural locale is limited. Purpose: To estimate the prevalence of and recent trends in obesity among US adults residing in rural locations. Methods: Analysis of data from the Behavioral Risk Factor Surveillance System (BRFSS) for the years 1994-1996 (n =…

Measuring food intake in studies of obesity.

PubMed

Lissner, Lauren

2002-12-01

The problem of how to measure habitual food intake in studies of obesity remains an enigma in nutritional research. The existence of obesity-specific underreporting was rather controversial until the advent of the doubly labelled water technique gave credence to previously anecdotal evidence that such a bias does in fact exist. This paper reviews a number of issues relevant to interpreting dietary data in studies involving obesity. Topics covered include: participation biases, normative biases,importance of matching method to study, selective underreporting, and a brief discussion of the potential implications of generalised and selective underreporting in analytical epidemiology. It is concluded that selective underreporting of certain food types by obese individuals would produce consequences in analytical epidemiological studies that are both unpredictable and complex. Since it is becoming increasingly acknowledged that selective reporting error does occur, it is important to emphasise that correction for energy intake is not sufficient to eliminate the biases from this type of error. This is true both for obesity-related selective reporting errors and more universal types of selective underreporting, e.g. foods of low social desirability. Additional research is urgently required to examine the consequences of this type of error.

Analog design of wireless control for home equipment

NASA Astrophysics Data System (ADS)

Zheng, Shiyong; Li, Zhao; Li, Biqing; Jiang, Suping

2018-04-01

This design consists of a STC89C52 microcontroller, a serial Bluetooth module and the Android system. Production of STC89C52 controlled by single-chip computer telephone systems. The system is composed of mobile phone Android system as a master in the family centre,via serial Bluetooth module pass instructions and information to implement wireless transceiver using STC89C52 MCU wireless Bluetooth transmission to control homedevices. System high reliability, low cost easy to use, stong applicability and other characerristics, can be used in single-user family, has great significance.

MECH: Algorithms and Tools for Automated Assessment of Potential Attack Locations (Software User Guide)

DTIC Science & Technology

2015-10-02

hour per response, including the time for reviewing instructions, searching existing data sources , gathering and maintaining the data needed, and...architecture of MECH v0.1 is shown in Figure 1. The Android MECH-App shown on the left side of the figure is for end users to request tactical risk...when or where the next attack will take place.   3    2 MECH-App MECH-App runs on a touch screen based Android device for end users to access the

[Overweight, obesity and lipids abnormalities in adolescents with type 1 diabetes].

PubMed

Wysocka-Mincewicz, Marta; Kołodziejczyk, Honorata; Wierzbicka, Elżbieta; Szalecki, Mieczysław

2016-02-18

Overweight children are growing problem as in the pediatric, as well in the diabetic population. The aim of the study was to research the percentage of overweight and obesity in a group of adolescents with type 1 diabetes, and to analyzethe lipid parameters, as well risk factors of these abnormalities. The study group consist of 60 type 1 diabetic adolescents (including 32 girls, 53.3%), aged above 12 years (mean age for girls 14.6+/-0,3years, boys 15.6+/-0.4 years) with diabetes duration (girls 5.7+-0.6 years, boys 4.4+/-0.8 years). Statistical analysis was performed using Statistica v 9.0 and SPSS v20. The study revealed that boys with type 1 diabetes are significantly higher than healthy population, with weight, waist circumference and BMI comparable to the healthy counterparts. However, diabetic girls are more likely to be overweight and have bigger waist circumference, and higher BMI than the healthy population. Overweight were 12 adolescents (20%) using BMI ≥1SD criterion, and 10 (16%) using waist circumference as obesity parameter. Logistic regression revealed that the most important factors for obesity and abdominal obesity are female gender (OR=2.43 and OR=4.56for obesity and abdominal, respectively), diabetes duration above 5 years (respectively OR=1.96 and OR=3.27) and poor metabolic control (respectively OR=1.74 and OR=2.89). The most important risk factor for obesity in adolescents with type 1 diabetes is female gender. Lipids profile is closely dependent on metabolic control and mass excess. Diabetes duration, metabolic control and lipids profile are significant risk factors for overweight and abdominal obesity. © Polish Society for Pediatric Endocrinology and Diabetology.

Effects Ala54Thr polymorphism of FABP2 on obesity index and biochemical variable in response to a aerobic exercise training

PubMed Central

Han, Tae Kyung

2013-01-01

The purpose of the current study was to investigate whether or not the FABP2 gene polymorphism modulated obesity indices, hemodynamic factor, blood lipid factor, and insulin resistance markers through 12-week aerobic exercise training in abdominal obesity group of Korean mid-life women. A total of 243 abdominally obese subjects of Korean mid-life women voluntarily participated in aerobic exercise training program for 12 weeks. Polymerase Chain Reaction with Restriction Fragment Length Polymorphism (PCR-RFLP) assay was used to assess the FABP2 genotype of the participants (117 of AA homozygotes, 100 of AT heterozygotes, 26 of TT homozygotes). Prior to the participation of the exercise training program, baseline obesity indices, hemodynamic factor, blood lipid factor, and insulin resistance markers were measured. All the measurements were replicated following the 12-week aerobic exercise training program, and then the following results were found. After 12-week aerobic exercise training program, wild type (Ala54Ala) and mutant type (Ala54Thr+Thr54Thr) significantly decreased weight (P > .001), BMI (P > .001), %bf (P > .001), waist circumference (P > .001), WHR (P > .001), muscle mass (wild type p < .022; mutant type P > .001), RHR (P > .001), viseceral adipose area (wild type p < .005; mutant type P > .001), subcutaneous area (P > .001), insulin (wild type p < .005; mutant type P > .001) and significantly increased VO2max (P > .001). And wild type significantly decresed NEFA (P > .05), glucose (P > .05), OGTT 120min glucose (P > .05) and significantly increased HDLC (p > .005). Mutant type significantly decreased SBP (P > .001), DBP (P > .01), TC (P > .01), LPL (P > .05), LDL (P > .001), HOMA index (P > .01). The result of the present study represents that regular aerobic exercise training may beneficially prevent obesity index, blood pressure, blood lipids and insulin resistance markers independent of FABP Ala54Thr wild type and mutant type. PMID:25566432

Disability prevalence among healthy weight, overweight, and obese adults.

PubMed

Armour, Brian S; Courtney-Long, Elizabeth A; Campbell, Vincent A; Wethington, Holly R

2013-04-01

Obesity is associated with adverse health outcomes in people with and without disabilities. However, little is known about disability prevalence among people who are obese. The purpose of this study is to determine the prevalence and type of disability among adults who are obese. Pooled data from the 2003-2009 National Health Interview Survey (NHIS) were analyzed to obtain national prevalence estimates of disability, disability type and obesity. The disability prevalence was stratified by body mass index (BMI): healthy weight (BMI 18.5-<25.0), overweight (BMI 25.0-<30.0), and obese (BMI ≥ 30.0). In this pooled sample, among the 25.4% of US adults who were obese, 41.7% reported a disability. In contrast, 26.7% of those with a healthy weight and 28.5% of those who were overweight reported a disability. The most common disabilities among respondents with obesity were movement difficulty (32.5%) and work limitation (16.6%). This research contributes to the literature on obesity by including disability as a demographic in assessing the burden of obesity. Because of the high prevalence of disability among those who are obese, public health programs should consider the needs of those with disabilities when designing obesity prevention and treatment programs. Copyright © 2013 The Obesity Society.

Does exposure to hyperglycaemia in utero increase the risk of obesity and diabetes in the offspring? A critical reappraisal.

PubMed

Donovan, L E; Cundy, T

2015-03-01

The idea that exposure to hyperglycaemia in utero is an important factor in the development of obesity and diabetes in the offspring has become entrenched as popular belief. To appraise the literature supporting this hypothesis in the light of recent studies that have clarified the main drivers of obesity in children and adolescents. A review of published evidence from animal studies, human observational studies, systematic reviews and experimental trials that address the impact of diabetes (Types 1 and 2, genetic or gestational) on the future risk of obesity and/or glucose intolerance in the offspring. Some animal studies support a relationship between exposure to hyperglycaemia in utero and future development of obesity and diabetes, but the results are inconsistent. Most of the human studies claiming to show a relationship have not taken into account important known confounders, such as maternal and paternal BMI. Evidence supporting a dose-response relationship between maternal hyperglycaemia exposure and obesity and diabetes in the offspring is weak, and there is no convincing evidence that treating gestational diabetes reduces the later risk of offspring obesity or glucose intolerance. Exposure to hyperglycaemia in utero has minimal direct effect on the later risk of obesity and Type 2 diabetes. The increased risk of obesity in the offspring of women with Type 2 or gestational diabetes can be explained by confounding factors, such as parental obesity. © 2014 The Authors. Diabetic Medicine © 2014 Diabetes UK.

Prevalence of cardiovascular risk factors in youth with type 1 diabetes and elevated body mass index.

PubMed

Redondo, Maria J; Foster, Nicole C; Libman, Ingrid M; Mehta, Sanjeev N; Hathway, Joanne M; Bethin, Kathleen E; Nathan, Brandon M; Ecker, Michelle A; Shah, Avni C; DuBose, Stephanie N; Tamborlane, William V; Hoffman, Robert P; Wong, Jenise C; Maahs, David M; Beck, Roy W; DiMeglio, Linda A

2016-04-01

The prevalence of cardiovascular risk factors in children with type 1 diabetes and elevated BMI in the USA is poorly defined. We aimed to test the hypothesis that children with type 1 diabetes who are overweight or obese have increased frequencies of hypertension, dyslipidemia, and micro-/macroalbuminuria compared to their healthy weight peers. We studied 11,348 children 2 to <18 years of age enrolled in T1D Exchange between September 2010 and August 2012 with type 1 diabetes for ≥1 year and BMI ≥ 5th age-/sex-adjusted percentile (mean age 12 years, 49 % female, 78 % non-Hispanic White). Overweight and obesity were defined based on Centers for Disease Control and Prevention criteria. Diagnoses of hypertension, dyslipidemia, and micro-/macroalbuminuria were obtained from medical records. Logistic and linear regression models were used to assess factors associated with weight status. Of the 11,348 participants, 22 % were overweight and 14 % obese. Hypertension and dyslipidemia were diagnosed in 1.0 % and 3.8 % of participants, respectively; micro-/macroalbuminuria was diagnosed in 3.8 % of participants with available data (n = 7,401). The odds of either hypertension or dyslipidemia were higher in obese than healthy weight participants [OR 3.5, 99 % confidence interval (CI) 2.0-6.1 and 2.2, 99 % CI 1.6-3.1, respectively]. Obese participants tended to be diagnosed with micro-/macroalbuminuria less often than healthy weight participants (OR 0.6, 99 % CI 0.4-1.0). Obese children with type 1 diabetes have a higher prevalence of hypertension and dyslipidemia than healthy weight children with type 1 diabetes. The possible association of obesity with lower micro-/macroalbuminuria rates warrants further investigation.

[Obesity as a factor in the development of cancer in type 2 diabetes].

PubMed

Łukasiewicz, Dorota; Chodorowska, Marlena; Jakubowska, Iwona

2015-03-01

The aim of this study was to evaluate the prevalence of malignant tumors in patients with type 2 diabetes and the factors contributing to the development of cancer. Medical records of 1087 patients with type 2 diabetes were retrospectively analyzed and a group of 74 (6.8%) patients with malignant tumor were found during treatment of diabetes. The most common sites of malignancies in patients with type 2 diabetes were: kidney (33.3%) and colorectal cancer (26.7%). The highest mean body mass index (BMI) was in the group of patients with uterus cancer and amounted to 36.1 kg/m². The next highest BMI recorded in the case of breast cancer - 32.6 kg/m², cancer of the kidney - 31.6 kg/m² and colorectal cancer - 31.3 kg/m². The lowest BMI values were observed in gallbladder cancer - 25.2 kg/m² and lung cancer - 26.4 kg/m². BMI in the various types of cancer were not statistically significant. In the group with normal BMI prostate cancer was most common. In the group of overweight and obesity patients kidney and colon cancers occurred more frequently, while in obese women - breast and uterus tumors. More than 80% of patients with type 2 diabetes who were diagnosed with cancer were overweight or obese. In the group of obese patients the highest average glycated hemoglobin was observed and if compared to those with normal weight it was significantly higher (p = 0.01). In the group of obese patients, the most common tumors were renal and colorectal cancer, and cancer of the breast and uterus in a group of obese women. The use of metformin in the presence of other risk factors do not protect against the development of cancer. © 2015 MEDPRESS.

Microbiota-induced obesity requires farnesoid X receptor

PubMed Central

Parséus, Ava; Sommer, Nina; Sommer, Felix; Caesar, Robert; Molinaro, Antonio; Ståhlman, Marcus; Greiner, Thomas U; Perkins, Rosie; Bäckhed, Fredrik

2017-01-01

Objective The gut microbiota has been implicated as an environmental factor that modulates obesity, and recent evidence suggests that microbiota-mediated changes in bile acid profiles and signalling through the bile acid nuclear receptor farnesoid X receptor (FXR) contribute to impaired host metabolism. Here we investigated if the gut microbiota modulates obesity and associated phenotypes through FXR. Design We fed germ-free (GF) and conventionally raised (CONV-R) wild-type and Fxr−/− mice a high-fat diet (HFD) for 10 weeks. We monitored weight gain and glucose metabolism and analysed the gut microbiota and bile acid composition, beta-cell mass, accumulation of macrophages in adipose tissue, liver steatosis, and expression of target genes in adipose tissue and liver. We also transferred the microbiota of wild-type and Fxr-deficient mice to GF wild-type mice. Results The gut microbiota promoted weight gain and hepatic steatosis in an FXR-dependent manner, and the bile acid profiles and composition of faecal microbiota differed between Fxr−/− and wild-type mice. The obese phenotype in colonised wild-type mice was associated with increased beta-cell mass, increased adipose inflammation, increased steatosis and expression of genes involved in lipid uptake. By transferring the caecal microbiota from HFD-fed Fxr−/− and wild-type mice into GF mice, we showed that the obesity phenotype was transferable. Conclusions Our results indicate that the gut microbiota promotes diet-induced obesity and associated phenotypes through FXR, and that FXR may contribute to increased adiposity by altering the microbiota composition. PMID:26740296

Prevalence and risk factors for canine obesity surveyed in veterinary practices in Beijing, China.

PubMed

Mao, Junfu; Xia, Zhaofei; Chen, Jiangnan; Yu, Jinhai

2013-11-01

An epidemiological survey of canine obesity was carried out in Beijing, China. Cases (n=2391, 7 districts) were collected at 14 animal hospitals between April 2008 and April 2011. The body condition score (scales of 1-5) was used to assess obesity of the dogs (Burkholder and Toll, 2000; Laflamme, 1997). Obesity rates were analyzed with respect to breed, age, sex, neutering, food control, feeding frequency, reproduction status, food type, nutritional supplements, living environment, feeding time, number of pets per household, feeding purpose, activity control, exercise duration, exercise status and exercise type. The overall canine obesity rate was 44.4% in this survey. The risk factors for dog obesity were food type (non-commercial food, OR=1.377, p<0.05), age (1-2 y, OR=0.044, p<0.001), activity control (free activity, OR=0.685, p<0.05), neutering (intact, OR=0.629, p<0.01), sex (male, OR=0.628, p<0.001), feeding frequency (Once per day, OR=0.521, p<0.01). By dog breed, prevalence of obesity was high in pugs (70.7%), Cocker Spaniel (69.4%), Pekingese (51.9%), Pomeranian (54.6%) and Golden Retriever (51.9%). This is the first report of the epidemiology of canine obesity in China. Copyright © 2013 Elsevier B.V. All rights reserved.

Association of lipocalin-2 level, glycemic status and obesity in type 2 diabetes mellitus.

PubMed

Elkhidir, Areej E; Eltaher, Halima B; Mohamed, Abdelrahim O

2017-07-14

Management of type 2 diabetes mellitus aims to maintain a normal glycemic status, which if not, it may lead to acute and/or chronic diabetic complications. Earlier studies found Lipocalin-2 elevated in complications associated with type 2 diabetes mellitus such as ischemic heart disease. These lipocalin-2 changes had been linked to obesity and uncontrolled diabetes. So, it could be useful to understand the effect of glycemic control and obesity on lipocalin-2. This was a case control study. Fifty-seven patients with type 2 diabetes and 30 non-diabetic controls participated after getting a written consent. Weight (kg), height (m) and waist circumference (cm) were measured then the body mass index (kg/m 2 ) was determined. Blood samples were collected after an overnight fasting. HbA1c, lipid profile and serum creatinine were measured using enzymatic methods. Lipocalin-2 was measured using sandwich ELISA. Lipocalin-2 was found significantly higher in patients with type 2 diabetes (P = 0.001). However, it had no significant correlation with any of the studied variables. Females had elevated BMI compared to males in the patients group (P < 0.001). HbA1c, serum creatinine, LDL and total cholesterol were elevated in patients with diabetes (P < 0.02). HDL was lower in the patients (P = 0.002). Significant elevation in HbA1c was found in male patients (P = 0.028) compared to female patients. Patients were further classified into controlled, uncontrolled diabetics, obese and non-obese. There was a significant elevation in waist circumference in uncontrolled diabetics compared to controlled ones. Lipocalin-2 had no significant changes between controlled and uncontrolled diabetics nor non-obese and obese patients. Patients with type 2 diabetes mellitus have elevated level of serum lipocalin-2. There was no significant association found between lipocalin-2 and glycemic control nor obesity.

New animal models reveal that coenzyme Q2 (Coq2) and placenta-specific 8 (Plac8) are candidate genes for the onset of type 2 diabetes associated with obesity in rats.

PubMed

Sasaki, Daiki; Kotoh, Jun; Watadani, Risa; Matsumoto, Kozo

2015-12-01

Obesity is a major risk factor for the onset of type 2 diabetes; however, little is known about the gene(s) involved. Therefore, we developed new animal models of obesity to search for diabetogenic genes associated with obesity. We generated double congenic rat strains with a hyperglycaemic quantitative trait locus (QTL) derived from the Otsuka Long-Evans Tokushima Fatty rat and a fa/fa (Lepr-/-) locus derived from the Zucker Fatty rat; phenotypic analysis for plasma glucose and insulin levels and RNA and protein levels were determined using reverse transcription quantitative PCR and Western blotting analyses, respectively. The double congenic strain F344-fa-nidd2 (Lepr-/- and Nidd2/of) exhibited significantly higher glucose levels and significantly lower hypoglycaemic response to insulin than the obese control strain F344-fa (Lepr-/-). These phenotypes were clearly observed in the obese strains but not in the lean strains. These results indicate that the Nidd2/of locus harbours a diabetogenic gene associated with obesity. We measured the expression of 60 genes in the Nidd2/of QTL region between the strains and found that the mRNA expression levels of five genes were significantly different between the strains under the condition of obesity. However, three of the five genes were differentially expressed in both obese and lean rats, indicating that these genes are not specific for the condition of obesity. Conversely, the other two genes, coenzyme Q2 (Coq2) and placenta-specific 8 (Plac8), were differentially expressed only in the obese rats, suggesting that these two genes are candidates for the onset of type 2 diabetes associated with obesity in rats.

Obesity-Related Genomic Loci Are Associated with Type 2 Diabetes in a Han Chinese Population

PubMed Central

Zhao, Qi; He, Jiang; Chen, Li; Zhao, Zhigang; Li, Qiang; Ge, Jiapu; Chen, Gang; Guo, Xiaohui; Lu, Juming; Weng, Jianping; Jia, Weiping; Ji, Linong; Xiao, Jianzhong; Shan, Zhongyan; Liu, Jie; Tian, Haoming; Ji, Qiuhe; Zhu, Dalong; Zhou, Zhiguang; Shan, Guangliang; Yang, Wenying

2014-01-01

Background and Aims Obesity is a well-known risk factor for type 2 diabetes. Genome-wide association studies have identified a number of genetic loci associated with obesity. The aim of this study is to examine the contribution of obesity-related genomic loci to type 2 diabetes in a Chinese population. Methods We successfully genotyped 18 obesity-related single nucleotide polymorphisms among 5338 type 2 diabetic patients and 4663 controls. Both individual and joint effects of these single nucleotide polymorphisms on type 2 diabetes and quantitative glycemic traits (assessing β-cell function and insulin resistance) were analyzed using logistic and linear regression models, respectively. Results Two single nucleotide polymorphisms near MC4R and GNPDA2 genes were significantly associated with type 2 diabetes before adjusting for body mass index and waist circumference (OR (95% CI) = 1.14 (1.06, 1.22) for the A allele of rs12970134, P = 4.75×10−4; OR (95% CI) = 1.10 (1.03, 1.17) for the G allele of rs10938397, P = 4.54×10−3). When body mass index and waist circumference were further adjusted, the association of MC4R with type 2 diabetes remained significant (P = 1.81×10−2) and that of GNPDA2 was attenuated (P = 1.26×10−1), suggesting the effect of the locus including GNPDA2 on type 2 diabetes may be mediated through obesity. Single nucleotide polymorphism rs2260000 within BAT2 was significantly associated with type 2 diabetes after adjusting for body mass index and waist circumference (P = 1.04×10−2). In addition, four single nucleotide polymorphisms (near or within SEC16B, BDNF, MAF and PRL genes) showed significant associations with quantitative glycemic traits in controls even after adjusting for body mass index and waist circumference (all P values<0.05). Conclusions This study indicates that obesity-related genomic loci were associated with type 2 diabetes and glycemic traits in the Han Chinese population. PMID:25093408

Serum adiposity-induced biomarkers in obese and lean children with recently diagnosed autoimmune type 1 diabetes.

PubMed

Redondo, M J; Rodriguez, L M; Haymond, M W; Hampe, C S; Smith, E O; Balasubramanyam, A; Devaraj, S

2014-12-01

Obesity increases the risk of cardiovascular disease and diabetic complications in type 1 diabetes. Adipokines, which regulate obesity-induced inflammation, may contribute to this association. We compared serum adipokines and inflammatory cytokines in obese and lean children with new-onset autoimmune type 1 diabetes. We prospectively studied 32 lean and 18 obese children (age range: 2-18 yr) with new-onset autoimmune type 1 diabetes and followed them for up to 2 yr. Serum adipokines [leptin, total and high molecular weight (HMW) adiponectin, omentin, resistin, chemerin, visfatin], cytokines [interferon (IFN)-gamma, interleukin (IL)-10, IL-12, IL-6, IL-8, and tumor necrosis factor (TNF)-alpha] and C-reactive protein (CRP) were measured at a median of 7 wk after diagnosis (range: 3-16 wk). Lean children were 71.9% non-Hispanic White, 21.9% Hispanic, and 6.3% African-American, compared with 27.8, 55.6, and 16.7%, respectively, for obese children (p = 0.01). Compared with lean children, obese children had significantly higher serum leptin, visfatin, chemerin, TNF-alpha and CRP, and lower total adiponectin and omentin after adjustment for race/ethnicity and Tanner stage. African-American race was independently associated with higher leptin among youth ≥10 yr (p = 0.007). Leptin levels at onset positively correlated with hemoglobin A1c after 1-2 yr (p = 0.0001) independently of body mass index, race/ethnicity, and diabetes duration. Higher TNF-alpha was associated with obesity and female gender, after adjustment for race/ethnicity (p = 0.0003). Obese children with new-onset autoimmune type 1 diabetes have a proinflammatory profile of circulating adipokines and cytokines that may contribute to the development of cardiovascular disease and diabetic complications. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Physical Interactions and Expression Quantitative Traits Loci Identify Regulatory Connections for Obesity and Type 2 Diabetes Associated SNPs

PubMed Central

Fadason, Tayaza; Ekblad, Cameron; Ingram, John R.; Schierding, William S.; O'Sullivan, Justin M.

2017-01-01

The mechanisms that underlie the association between obesity and type 2 diabetes are not fully understood. Here, we investigated the role of the 3D genome organization in the pathogeneses of obesity and type-2 diabetes. We interpreted the combined and differential impacts of 196 diabetes and 390 obesity associated single nucleotide polymorphisms (SNPs) by integrating data on the genes with which they physically interact (as captured by Hi-C) and the functional [i.e., expression quantitative trait loci (eQTL)] outcomes associated with these interactions. We identified 861 spatially regulated genes (e.g., AP3S2, ELP5, SVIP, IRS1, FADS2, WFS1, RBM6, HORMAD1, PYROXD2), which are enriched in tissues (e.g., adipose, skeletal muscle, pancreas) and biological processes and canonical pathways (e.g., lipid metabolism, leptin, and glucose-insulin signaling pathways) that are important for the pathogenesis of type 2 diabetes and obesity. Our discovery-based approach also identifies enrichment for eQTL SNP-gene interactions in tissues that are not classically associated with diabetes or obesity. We propose that the combinatorial action of active obesity and diabetes spatial eQTL SNPs on their gene pairs within different tissues reduces the ability of these tissues to contribute to the maintenance of a healthy energy metabolism. PMID:29081791

Pediatric obesity: Causes, symptoms, prevention and treatment.

PubMed

Xu, Shumei; Xue, Ying

2016-01-01

Pediatric or childhood obesity is the most prevalent nutritional disorder among children and adolescents worldwide. Approximately 43 million individuals are obese, 21-24% children and adolescents are overweight, and 16-18% of individuals have abdominal obesity. The prevalence of obesity is highest among specific ethnic groups. Obesity increases the risk of heart diseases in children and adults. Childhood obesity predisposes the individual to insulin resistance and type 2 diabetes, hypertension, hyperlipidemia, liver and kidney diseases and causes reproductive dysfunction in adults. Obesity in children is a major health concern of the developed world. The National Health and Nutrition Examination Survey has reported that the prevalence of obesity is on the increase in all the pediatric age groups, in males and females, and in various ethnic and racial groups. Factors, such as eating habits, genetics, environment, metabolism, and lifestyle play an important role in the development of obesity. Over 90% of obesity cases are idiopathic and less than 10% are associated with genetic and hormonal causes. Obesity occurs when the body consumes more calories than it burns, through overeating and underexercising. The symptoms of obesity include breathing disorders, sleep apnea, chronic obstructive pulmonary disease, certain types of cancer such as prostate, bowel, breast and uterine, coronary heart disease, diabetes (type 2 in children), depression, liver and gallbladder problems, gastro-esophageal reflux disease, high blood pressure, high cholesterol, stroke, and joint diseases such as osteoarthritis, pain in knees and lower back. Environmental, behavioral such as consumption of convenience foods, genetic, and family factors contribute to pediatric obesity. Obesity can be countered through lower calorie consumption, weight loss and diet programs, as well as increased physical activity. A number of endogenous molecules including leptin, hypothalamic melanocortin 4 receptor, and mitochondrial uncoupling proteins, are known to affect body weight. These molecules serve as potential targets for the pharmacological manipulation of obesity. Sibutramine and orlistat are primariliy used for the treatment of adult obesity, which produces modest weight loss, of 3-8% compared to placebo. For children and obese adolescents, metformin is used in the case of insulin resistance and hyperinsulinemia. Octreotide is used for hypothalamic obesity. Bariatric surgery is performed for the treatment of severe childhood obesity. The causes, symptoms, prevention and treatment of pediatric obesity are described in the present review.

Obesity and health (image)

MedlinePlus

Obesity increases a person's risk of illness and death due to diabetes, stroke, heart disease, hypertension, high cholesterol, and kidney and gallbladder disease. Obesity may increase the risk for some types of ...

Association between obesity and depression in patients with diabetes mellitus type 2; a study protocol.

PubMed

De la Cruz-Cano, Eduardo; Tovilla-Zarate, Carlos Alfonso; Reyes-Ramos, Emilio; Gonzalez-Castro, Thelma Beatriz; Juarez-Castro, Isela; López-Narváez, Maria Lilia; Fresan, Ana

2015-01-01

Diabetes mellitus and depression are highly prevalent conditions throughout the world and have significant impact on health outcomes. It has been estimated that diabetes mellitus type 2 affects about 246 million people in the world; nevertheless, incidence varies among countries. There is evidence that depression is associated with a poor metabolic control in patients with type 2 diabetes mellitus that present other health problems (such as hypertension and obesity). The aim of this study protocol is to determine if obesity increases the risk for depression in patient with diabetes type 2. The analysis will be reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).The studies suitable for inclusion will be assessed by the Newcastle-Ottawa Scale (NOS) to determine their methodological quality. To identify the studies of interest, we will search on PubMed and EBSCO databases. We will use the following keyword combinations: "Diabetes Mellitus type 2 AND obesity AND depression", "depression AND Diabetes Mellitus type 2", "Diabetes Mellitus type 2 AND body mass index cross sectional study", "depression AND obesity cross-sectional study". Causes for exclusion will be publications that studied patients diagnosed with diabetes mellitus type 1; articles that focused on the treatment and complications of diabetes mellitus type 2; publications that have studied other clinical or psychiatric conditions (for instance, seizure disorder or history of schizophrenia, bipolar disorder, psychotic symptoms or dementia). The results of this study will form the basis for a better understanding of the association between obesity and depression in patients with diabetes mellitus type 2, and will allow development of prediction tools and better interventions. It is evident that several modifiable and non-modifiable risk factors play an important role in the pathogenesis of diabetes among population. Currently, evidence for the deleterious effects of diabetes mellitus type 2 are based on cross-sectional or other observational designs. Therefore, this study will have important implications for future research and public health guidance.

Maternal encouragement and discouragement: Differences by food type and child weight status

PubMed Central

Pesch, Megan H.; Appugliese, Danielle P.; Kaciroti, Niko; Rosenblum, Katherine L.; Miller, Alison; Lumeng, Julie C.

2016-01-01

Childhood obesity prevention practice guidelines recommend that parents encourage the intake of certain types of foods and discourage the intake of others. It is unknown if parents of children of different weight statuses encourage or discourage their child's intake differently based on food type. The objective of this study was to determine the association of child weight status with maternal for four different types of food. A total of 222 mother-child dyads were video-taped during the standardized, sequential presentation of four foods to both participants: cupcakes (familiar dessert), green beans (familiar vegetable), halva (unfamiliar dessert) and artichoke (unfamiliar vegetable). Mother's encouragements and discouragements of child intake were reliably coded for each food type. Poisson regression models were used to test the independent association of child weight status (normal weight, overweight and obese) with encouragement and discouragement for each food type. Mothers of an obese, vs. normal or overweight child, had lower rates of encouragement for a familiar dessert (p = 0.02), and a higher rates of discouragements for a familiar dessert (p=0.001), a familiar vegetable (p=0.01), and an unfamiliar vegetable (p = 0.001). There were no differences in encouragements or discouragements between mothers of an overweight, vs. obese child, for any of the 4 food types. Mothers of obese children may alter their feeding behavior differentially based on food type. Future work should examine how interventions promoting maternal encouragement or discouragement of different food types impact child weight status. PMID:26924561

Maternal overweight and obesity are associated with increased risk of type 1 diabetes in offspring of parents without diabetes regardless of ethnicity.

PubMed

Hussen, Hozan I; Persson, Martina; Moradi, Tahereh

2015-07-01

The incidence of type 1 diabetes in children is increasing in Sweden, as is the prevalence of maternal overweight/obesity. Therefore, the aim of this study was to investigate if maternal overweight/obesity increases the risk of type 1 diabetes in offspring of parents with and without diabetes, and of different ethnicities. The study cohort comprised 1,263,358 children, born in Sweden between 1992 and 2004. Children were followed from birth until diagnosis of type 1 diabetes, emigration, death or end of follow-up in 2009, whichever occurred first. First trimester maternal BMI was calculated (kg/m(2)). Poisson regression was used to calculate incidence rate ratios (IRRs) with 95% CI for type 1 diabetes in the offspring. The risk of type 1 diabetes was increased in offspring of parents with any type of diabetes regardless of parental ethnicity. High first trimester maternal BMI was associated with increased risk of type 1 diabetes only in offspring of parents without diabetes (IRR 1.33 [95% CI 1.20, 1.48]). Increasing incidence of type 1 diabetes in children with non-diabetic parents may partly be explained by increasing prevalence of maternal overweight/obesity.

Indoor integrated navigation and synchronous data acquisition method for Android smartphone

NASA Astrophysics Data System (ADS)

Hu, Chunsheng; Wei, Wenjian; Qin, Shiqiao; Wang, Xingshu; Habib, Ayman; Wang, Ruisheng

2015-08-01

Smartphones are widely used at present. Most smartphones have cameras and kinds of sensors, such as gyroscope, accelerometer and magnet meter. Indoor navigation based on smartphone is very important and valuable. According to the features of the smartphone and indoor navigation, a new indoor integrated navigation method is proposed, which uses MEMS (Micro-Electro-Mechanical Systems) IMU (Inertial Measurement Unit), camera and magnet meter of smartphone. The proposed navigation method mainly involves data acquisition, camera calibration, image measurement, IMU calibration, initial alignment, strapdown integral, zero velocity update and integrated navigation. Synchronous data acquisition of the sensors (gyroscope, accelerometer and magnet meter) and the camera is the base of the indoor navigation on the smartphone. A camera data acquisition method is introduced, which uses the camera class of Android to record images and time of smartphone camera. Two kinds of sensor data acquisition methods are introduced and compared. The first method records sensor data and time with the SensorManager of Android. The second method realizes open, close, data receiving and saving functions in C language, and calls the sensor functions in Java language with JNI interface. A data acquisition software is developed with JDK (Java Development Kit), Android ADT (Android Development Tools) and NDK (Native Development Kit). The software can record camera data, sensor data and time at the same time. Data acquisition experiments have been done with the developed software and Sumsang Note 2 smartphone. The experimental results show that the first method of sensor data acquisition is convenient but lost the sensor data sometimes, the second method is much better in real-time performance and much less in data losing. A checkerboard image is recorded, and the corner points of the checkerboard are detected with the Harris method. The sensor data of gyroscope, accelerometer and magnet meter have been recorded about 30 minutes. The bias stability and noise feature of the sensors have been analyzed. Besides the indoor integrated navigation, the integrated navigation and synchronous data acquisition method can be applied to outdoor navigation.

Quantification of trunk and android lean mass using dual energy x-ray absorptiometry compared to magnetic resonance imaging after spinal cord injury.

PubMed

Rankin, Kathleen C; O'Brien, Laura C; Gorgey, Ashraf S

2018-02-20

To determine whether dual energy x-ray absorptiometry (DXA) compared to magnetic resonance imaging (MRI) may accurately quantify trunk lean mass (LM) after chronic spinal cord injury (SCI) and to investigate the relationships between trunk LM, visceral adiposity, trunk fat mass and basal metabolic rate (BMR). Cross-sectional design and correlational analysis. Research setting in a medical center. Twenty-two men with motor complete paraplegia (n = 14; T4-T11) and tetraplegia (n = 8; C5-C7) were recruited as part of a clinical trial. Not applicable. Trunk and android LM were measured using DXA. The volume of six trunk muscle groups were then measured using MRI to quantify trunk LM-MRI. Subcutaneous and visceral adipose tissue (VAT) cross-sectional areas were also measured using MRI. After overnight fast, BMR was evaluated using indirect calorimetry. Trunk LM-DXA (24 ± 3.3 kg) and android LM-DXA (3.6 ± 0.7 kg) overestimated (P < 0.0001) trunk LM-MRI (1.7 ± 0.5 kg). Trunk LM-MRI = 0.088* log (trunk LM-DXA)-0.415; r 2 =0.29, SEE= 0.44 kg, P = 0.007. Trunk LM-MRI = 1.53* android LM-DXA + 0.126; r 2 =0.26, SEE= 0.21 kg, P = 0.018. Percentage trunk LM-MRI was inversely related to VAT (r=-0.79, P < 0.0001) and trunk fat mass (r=-0.83, P < 0.001). Only trunk LM-DXA was related to BMR (r = 0.61, P = 0.002). Persons with tetraplegia have 13% smaller trunk muscle cross-sectional areas (P = 0.036) compared to those with paraplegia. Trunk LM-DXA and android LM-DXA overestimated trunk LM-MRI. Percentage trunk LM-MRI, but not LM-DXA, was inversely related to trunk central adiposity. The findings highlight the importance of exercising trunk LM to attenuate cardio-metabolic disorders after SCI.

Impaired clearance of influenza A virus in obese, leptin receptor deficient mice is independent of leptin signaling in the lung epithelium and macrophages.

PubMed

Radigan, Kathryn A; Morales-Nebreda, Luisa; Soberanes, Saul; Nicholson, Trevor; Nigdelioglu, Recep; Cho, Takugo; Chi, Monica; Hamanaka, Robert B; Misharin, Alexander V; Perlman, Harris; Budinger, G R Scott; Mutlu, Gökhan M

2014-01-01

During the recent H1N1 outbreak, obese patients had worsened lung injury and increased mortality. We used a murine model of influenza A pneumonia to test the hypothesis that leptin receptor deficiency might explain the enhanced mortality in obese patients. We infected wild-type, obese mice globally deficient in the leptin receptor (db/db) and non-obese mice with tissue specific deletion of the leptin receptor in the lung epithelium (SPC-Cre/LepR fl/fl) or macrophages and alveolar type II cells (LysM-Cre/Lepr fl/fl) with influenza A virus (A/WSN/33 [H1N1]) (500 and 1500 pfu/mouse) and measured mortality, viral clearance and several markers of lung injury severity. The clearance of influenza A virus from the lungs of mice was impaired in obese mice globally deficient in the leptin receptor (db/db) compared to normal weight wild-type mice. In contrast, non-obese, SP-C-Cre+/+/LepR fl/fl and LysM-Cre+/+/LepR fl/fl had improved viral clearance after influenza A infection. In obese mice, mortality was increased compared with wild-type mice, while the SP-C-Cre+/+/LepR fl/fl and LysM-Cre+/+/LepR fl/fl mice exhibited improved survival. Global loss of the leptin receptor results in reduced viral clearance and worse outcomes following influenza A infection. These findings are not the result of the loss of leptin signaling in lung epithelial cells or macrophages. Our results suggest that factors associated with obesity or with leptin signaling in non-myeloid populations such as natural killer and T cells may be associated with worsened outcomes following influenza A infection.

Impact of early psychosocial factors (childhood socioeconomic factors and adversities) on future risk of type 2 diabetes, metabolic disturbances and obesity: a systematic review

PubMed Central

2010-01-01

Background Psychological factors and socioeconomic status (SES) have a notable impact on health disparities, including type 2 diabetes risk. However, the link between childhood psychosocial factors, such as childhood adversities or parental SES, and metabolic disturbances is less well established. In addition, the lifetime perspective including adult socioeconomic factors remains of further interest. We carried out a systematic review with the main question if there is evidence in population- or community-based studies that childhood adversities (like neglect, traumata and deprivation) have considerable impact on type 2 diabetes incidence and other metabolic disturbances. Also, parental SES was included in the search as risk factor for both, diabetes and adverse childhood experiences. Finally, we assumed that obesity might be a mediator for the association of childhood adversities with diabetes incidence. Therefore, we carried out a second review on obesity, applying a similar search strategy. Methods Two systematic reviews were carried out. Longitudinal, population- or community-based studies were included if they contained data on psychosocial factors in childhood and either diabetes incidence or obesity risk. Results We included ten studies comprising a total of 200,381 individuals. Eight out of ten studies indicated that low parental status was associated with type 2 diabetes incidence or the development of metabolic abnormalities. Adjustment for adult SES and obesity tended to attenuate the childhood SES-attributable risk but the association remained. For obesity, eleven studies were included with a total sample size of 70,420 participants. Four out of eleven studies observed an independent association of low childhood SES on the risk for overweight and obesity later in life. Conclusions Taken together, there is evidence that childhood SES is associated with type 2 diabetes and obesity in later life. The database on the role of psychological factors such as traumata and childhood adversities for the future risk of type 2 diabetes or obesity is too small to draw conclusions. Thus, more population-based longitudinal studies and international standards to assess psychosocial factors are needed to clarify the mechanisms leading to the observed health disparities. PMID:20809937

Three novel obese indicators perform better in monitoring management of metabolic syndrome in type 2 diabetes.

PubMed

Ma, Chun-Ming; Lu, Na; Wang, Rui; Liu, Xiao-Li; Lu, Qiang; Yin, Fu-Zai

2017-08-29

The present study evaluated the performance of three novel obese indicators, visceral adiposity index (VAI), lipid accumulation product (LAP) and waist circumference-triglyceride index (WTI), for identifying metabolic syndrome(MetS) in type 2 diabetes. A cross-sectional study was conducted on 711 type 2 diabetes in Qinhuangdao. The MetS was defined as the definition of Chinese Diabetes Society. Receiver operating characteristic curve analyses were performed to assess the accuracy of three obese indicators as diagnostic tests for MetS. The prevalence of MetS was 71.3%. In men, among all three obese indicators, the LAP had the highest area under curve (AUC) value (AUC = 0.894), followed by VAI (AUC = 0.860) and WTI (AUC = 0.855). In women, among all three obese indicators, the LAP had the highest AUC value (AUC = 0.906), followed by WTI (AUC = 0.887) and VAI (AUC = 0.881). However. there was no significant difference between the three obese indicators(P > 0.05). Three obese indicators were effective indicators for the screening of MetS, LAP and WTI are more simple.

Pharmacotherapy for obesity in individuals with type 2 diabetes.

PubMed

Chukir, Tariq; Shukla, Alpana P; Saunders, Katherine H; Aronne, Louis J

2018-02-01

Type 2 diabetes (T2DM) is associated with significant morbidity and mortality. Obesity is one of the main risk factors for T2DM and its management requires a multidisciplinary approach, which may include pharmacotherapy. Areas covered: In this paper, data on efficacy, tolerability and safety of FDA-approved pharmacotherapies for obesity (orlistat, phentermine/topiramate extended-release, lorcaserin, bupropion sustained release/naltrexone sustained release and liraglutide) are reviewed, focusing on individuals with type 2 diabetes. Expert opinion: Obesity is the major pathophysiologic driver of T2DM; conversely 5-10% weight loss leads to significant improvement in glycemic control, lipids and blood pressure. Weight loss maintenance is difficult with lifestyle interventions alone and may require adjunctive therapies. There is good evidence for the efficacy and tolerability of approved anti-obesity pharmacotherapies in individuals with T2DM, with current cardiovascular safety data being most favorable for liraglutide, orlistat and lorcaserin. Given the link between obesity and T2DM, a weight-centric therapeutic approach including use of weight reducing anti-diabetic therapies, and anti-obesity pharmacotherapies is both intuitive and rational to improve glycemic and other metabolic outcomes in patients with T2DM.

Immune Cells Link Obesity-associated Type 2 Diabetes and Periodontitis

PubMed Central

Zhu, M.; Nikolajczyk, B.S.

2014-01-01

The clinical association between obesity-associated type 2 diabetes (T2D) and periodontitis, coupled with the increasing prevalence of these diseases, justifies studies to identify mechanisms responsible for the vicious feed-forward loop between systemic and oral disease. Changes in the immune system are critical for both obesity-associated T2D and periodontitis and therefore may link these diseases. Recent studies at the intersection of immunology and metabolism have greatly advanced our understanding of the role the immune system plays in the transition between obesity and obesity-associated T2D and have shown that immune cells exhibit similar functional changes in obesity/T2D and periodontitis. Furthermore, myeloid and lymphoid cells likely synergize to promote obesity/T2D-associated periodontitis despite complexities introduced by disease interaction. Thus the groundwork is being laid for researchers to exploit existing models to understand immune cell dysfunction and break the devastating relationship between obesity-associated T2D and oral disease. PMID:24393706

Basal Ganglia Dysfunction Contributes to Physical Inactivity in Obesity.

PubMed

Friend, Danielle M; Devarakonda, Kavya; O'Neal, Timothy J; Skirzewski, Miguel; Papazoglou, Ioannis; Kaplan, Alanna R; Liow, Jeih-San; Guo, Juen; Rane, Sushil G; Rubinstein, Marcelo; Alvarez, Veronica A; Hall, Kevin D; Kravitz, Alexxai V

2017-02-07

Obesity is associated with physical inactivity, which exacerbates the health consequences of weight gain. However, the mechanisms that mediate this association are unknown. We hypothesized that deficits in dopamine signaling contribute to physical inactivity in obesity. To investigate this, we quantified multiple aspects of dopamine signaling in lean and obese mice. We found that D2-type receptor (D2R) binding in the striatum, but not D1-type receptor binding or dopamine levels, was reduced in obese mice. Genetically removing D2Rs from striatal medium spiny neurons was sufficient to reduce motor activity in lean mice, whereas restoring G i signaling in these neurons increased activity in obese mice. Surprisingly, although mice with low D2Rs were less active, they were not more vulnerable to diet-induced weight gain than control mice. We conclude that deficits in striatal D2R signaling contribute to physical inactivity in obesity, but inactivity is more a consequence than a cause of obesity. Published by Elsevier Inc.

Pediatric obesity & type 2 diabetes.

PubMed

Dea, Tara L

2011-01-01

This article focuses on (a) identifying obesity and other risk factors for developing type 2 diabetes, (b) differentiating between pediatric type 1 diabetes and type 2 diabetes, and (c) treating pediatric type 2 diabetes. Obesity has significant implications on a child's health, including an increased risk for insulin resistance and progression to type 2 diabetes. Type 2 diabetes in children, characterized by insulin resistance and relative pancreatic b-cell failure due to the increased demand for insulin production, has now reached epidemic proportions. Longitudinal research on pediatric type 2 diabetes, however, is lacking because this epidemic is relatively new. Treatment of type 2 diabetes in children is focused on lifestyle modification with weight management/increased physical activity, and pharmacological management through oral medication or insulin therapy. Because children with type 2 diabetes are at risk for developing diabetes-related complications earlier in life, they need to be closely monitored for comorbidities.

RSTensorFlow: GPU Enabled TensorFlow for Deep Learning on Commodity Android Devices

PubMed Central

Alzantot, Moustafa; Wang, Yingnan; Ren, Zhengshuang; Srivastava, Mani B.

2018-01-01

Mobile devices have become an essential part of our daily lives. By virtue of both their increasing computing power and the recent progress made in AI, mobile devices evolved to act as intelligent assistants in many tasks rather than a mere way of making phone calls. However, popular and commonly used tools and frameworks for machine intelligence are still lacking the ability to make proper use of the available heterogeneous computing resources on mobile devices. In this paper, we study the benefits of utilizing the heterogeneous (CPU and GPU) computing resources available on commodity android devices while running deep learning models. We leveraged the heterogeneous computing framework RenderScript to accelerate the execution of deep learning models on commodity Android devices. Our system is implemented as an extension to the popular open-source framework TensorFlow. By integrating our acceleration framework tightly into TensorFlow, machine learning engineers can now easily make benefit of the heterogeneous computing resources on mobile devices without the need of any extra tools. We evaluate our system on different android phones models to study the trade-offs of running different neural network operations on the GPU. We also compare the performance of running different models architectures such as convolutional and recurrent neural networks on CPU only vs using heterogeneous computing resources. Our result shows that although GPUs on the phones are capable of offering substantial performance gain in matrix multiplication on mobile devices. Therefore, models that involve multiplication of large matrices can run much faster (approx. 3 times faster in our experiments) due to GPU support. PMID:29629431

The Importance of Visual Feedback Design in BCIs; from Embodiment to Motor Imagery Learning.

PubMed

Alimardani, Maryam; Nishio, Shuichi; Ishiguro, Hiroshi

2016-01-01

Brain computer interfaces (BCIs) have been developed and implemented in many areas as a new communication channel between the human brain and external devices. Despite their rapid growth and broad popularity, the inaccurate performance and cost of user-training are yet the main issues that prevent their application out of the research and clinical environment. We previously introduced a BCI system for the control of a very humanlike android that could raise a sense of embodiment and agency in the operators only by imagining a movement (motor imagery) and watching the robot perform it. Also using the same setup, we further discovered that the positive bias of subjects' performance both increased their sensation of embodiment and improved their motor imagery skills in a short period. In this work, we studied the shared mechanism between the experience of embodiment and motor imagery. We compared the trend of motor imagery learning when two groups of subjects BCI-operated different looking robots, a very humanlike android's hands and a pair of metallic gripper. Although our experiments did not show a significant change of learning between the two groups immediately during one session, the android group revealed better motor imagery skills in the follow up session when both groups repeated the task using the non-humanlike gripper. This result shows that motor imagery skills learnt during the BCI-operation of humanlike hands are more robust to time and visual feedback changes. We discuss the role of embodiment and mirror neuron system in such outcome and propose the application of androids for efficient BCI training.

RSTensorFlow: GPU Enabled TensorFlow for Deep Learning on Commodity Android Devices.

PubMed

Alzantot, Moustafa; Wang, Yingnan; Ren, Zhengshuang; Srivastava, Mani B

2017-06-01

Mobile devices have become an essential part of our daily lives. By virtue of both their increasing computing power and the recent progress made in AI, mobile devices evolved to act as intelligent assistants in many tasks rather than a mere way of making phone calls. However, popular and commonly used tools and frameworks for machine intelligence are still lacking the ability to make proper use of the available heterogeneous computing resources on mobile devices. In this paper, we study the benefits of utilizing the heterogeneous (CPU and GPU) computing resources available on commodity android devices while running deep learning models. We leveraged the heterogeneous computing framework RenderScript to accelerate the execution of deep learning models on commodity Android devices. Our system is implemented as an extension to the popular open-source framework TensorFlow. By integrating our acceleration framework tightly into TensorFlow, machine learning engineers can now easily make benefit of the heterogeneous computing resources on mobile devices without the need of any extra tools. We evaluate our system on different android phones models to study the trade-offs of running different neural network operations on the GPU. We also compare the performance of running different models architectures such as convolutional and recurrent neural networks on CPU only vs using heterogeneous computing resources. Our result shows that although GPUs on the phones are capable of offering substantial performance gain in matrix multiplication on mobile devices. Therefore, models that involve multiplication of large matrices can run much faster (approx. 3 times faster in our experiments) due to GPU support.

End-user acceptance of a cloud-based teledentistry system and Android phone app for remote screening for oral diseases.

PubMed

Estai, Mohamed; Kanagasingam, Yogesan; Xiao, Di; Vignarajan, Janardhan; Bunt, Stuart; Kruger, Estie; Tennant, Marc

2017-01-01

Objective This study aimed to evaluate users' acceptance of a teledentistry model utilizing a smartphone camera used for dental caries screening and to identify a number of areas for improvement of the system. Methods A store-and-forward telemedicine platform "Remote-I" was developed to assist in the screening of oral diseases using an image acquisition Android app operated by 17 teledental assistants. A total of 485 images (five images per case) were directly transmitted from the Android app to the server. A panel of five dental practitioners (graders) assessed the images and reported their diagnosis. A user acceptance survey was sent to the graders and smartphone users following completion of the screening program. Results Of the 22 surveys sent out, 20 (91%) were completed. Generally, users showed optimism towards the use of the teledentistry system, and strongly positively assessed items on content and service quality. The majority of graders took less than 15 min to read the images while phone users took 5-10 min to complete the dental photography using the Android app. This study identified a number of factors that are essential for improving the current system, such as optimization of smartphone camera features, the format of the server, and the orientation of images and using oral retractors during photography. Conclusions Users appear to be generally satisfied with the proposed teledentistry model. However, they have specific concerns to address, many of which could be resolved through more effective training, coordination between sites and upgrading the current system.

Milk intake is not associated with low risk of diabetes or overweight-obesity: a Mendelian randomization study in 97,811 Danish individuals.

PubMed

Bergholdt, Helle K M; Nordestgaard, Børge G; Ellervik, Christina

2015-08-01

High dairy/milk intake has been associated with a low risk of type 2 diabetes observationally, but whether this represents a causal association is unknown. We tested the hypothesis that high milk intake is associated with a low risk of type 2 diabetes and of overweight-obesity, observationally and genetically. In 97,811 individuals from the Danish general population, we examined the risk of incident type 2 diabetes and of overweight-obesity by milk intake observationally and by LCT-13910 C/T genotype [polymorphism (rs4988235) upstream from the lactase (LCT) gene], where TT and TC genotypes are associated with lactase persistence and CC with nonpersistence. Observationally for any compared with no milk intake, the HR for type 2 diabetes was 1.10 (95% CI: 0.98, 1.24; P = 0.11), whereas the OR for overweight-obesity was 1.06 (1.02, 1.09; P = 0.002). Median milk intake was 5 glasses/wk (IQR: 0-10) for lactase TT/TC persistence and 3 (0-7) for CC nonpersistence. Genetically for lactase TT/TC persistence compared with CC nonpersistence, the OR was 0.96 (0.86, 1.08; P = 0.50) for type 2 diabetes and 1.06 (1.00, 1.12; P = 0.04) for overweight-obesity. In a stratified analysis for type 2 diabetes, corresponding values in those with and without milk intake were 0.88 (0.76, 1.03; P = 0.11) and 1.35 (1.07, 1.70; P = 0.01) (P-interaction: 0.002), whereas no gene-milk interaction on overweight-obesity was found. For a 1-glass/wk higher milk intake, the genetic risk ratio for type 2 diabetes was 0.99 (0.93, 1.06), and the corresponding observational risk was 1.01 (1.00, 1.01). For overweight-obesity, the corresponding values were 1.01 (1.00, 1.02) genetically and 1.00 (1.00, 1.01) observationally. High milk intake is not associated with a low risk of type 2 diabetes or overweight-obesity, observationally or genetically via lactase persistence. The higher risk of type 2 diabetes in lactase-persistent individuals without milk intake likely is explained by collider stratification bias. © 2015 American Society for Nutrition.

The Role of Age and Excess Body Mass Index in Progression to Type 1 Diabetes in At-Risk Adults.

PubMed

Ferrara, Christine T; Geyer, Susan M; Evans-Molina, Carmella; Libman, Ingrid M; Becker, Dorothy J; Wentworth, John M; Moran, Antoinette; Gitelman, Stephen E; Redondo, Maria J

2017-12-01

Given the global rise in both type 1 diabetes incidence and obesity, the role of body mass index (BMI) on type 1 diabetes pathophysiology has gained great interest. Sustained excess BMI in pediatric participants of the TrialNet Pathway to Prevention (PTP) cohort increased risk for progression to type 1 diabetes, but the effects of age and obesity in adults remain largely unknown. To determine the effect of age and sustained obesity on the risk for type 1 diabetes in adult participants in the TrialNet PTP cohort (i.e., nondiabetic autoantibody-positive relatives of patients with type 1 diabetes). Longitudinally accumulated BMI >25 kg/m2 was calculated to generate a cumulative excess BMI (ceBMI) for each participant, with ceBMI values ≥0 kg/m2 and ≥5 kg/m2 representing sustained overweight or obese status, respectively. Recursive partitioning analysis yielded sex- and age-specific thresholds for ceBMI that confer the greatest risk for type 1 diabetes progression. In this cohort of 665 adults (age 20 to 50 years; median follow-up, 3.9 years), 49 participants developed type 1 diabetes. Age was an independent protective factor for type 1 diabetes progression (hazard ratio, 0.95; P = 0.008), with a threshold of >35 years that reduced risk for type 1 diabetes. In men age >35 years and women age <35 years, sustained obesity (ceBMI ≥5 kg/m2) increased the risk for type 1 diabetes. Age is an important factor for type 1 diabetes progression in adults and influences the impact of elevated BMI, indicating an interplay of excess weight, age, and sex in adult type 1 diabetes pathophysiology. Copyright © 2017 Endocrine Society

Implementation of smart phone video plethysmography and dependence on lighting parameters.

PubMed

Fletcher, Richard Ribón; Chamberlain, Daniel; Paggi, Nicholas; Deng, Xinyue

2015-08-01

The remote measurement of heart rate (HR) and heart rate variability (HRV) via a digital camera (video plethysmography) has emerged as an area of great interest for biomedical and health applications. While a few implementations of video plethysmography have been demonstrated on smart phones under controlled lighting conditions, it has been challenging to create a general scalable solution due to the large variability in smart phone hardware performance, software architecture, and the variable response to lighting parameters. In this context, we present a selfcontained smart phone implementation of video plethysmography for Android OS, which employs both stochastic and deterministic algorithms, and we use this to study the effect of lighting parameters (illuminance, color spectrum) on the accuracy of the remote HR measurement. Using two different phone models, we present the median HR error for five different video plethysmography algorithms under three different types of lighting (natural sunlight, compact fluorescent, and halogen incandescent) and variations in brightness. For most algorithms, we found the optimum light brightness to be in the range 1000-4000 lux and the optimum lighting types to be compact fluorescent and natural light. Moderate errors were found for most algorithms with some devices under conditions of low-brightness (<;500 lux) and highbrightness (>4000 lux). Our analysis also identified camera frame rate jitter as a major source of variability and error across different phone models, but this can be largely corrected through non-linear resampling. Based on testing with six human subjects, our real-time Android implementation successfully predicted the measured HR with a median error of -0.31 bpm, and an inter-quartile range of 2.1bpm.

An evaluation of diabetes targeted apps for Android smartphone in relation to behaviour change techniques.

PubMed

Hoppe, C D; Cade, J E; Carter, M

2017-06-01

Mobile applications (apps) could support diabetes management through dietary, weight and blood glucose self-monitoring, as well as by promoting behaviour change. The present study aimed to evaluate diabetes apps for content, functions and behaviour change techniques (BCTs). Diabetes self-management apps for Android smartphones were searched for on the Google Play Store. Ten apps each from the following search terms were included; 'diabetes', 'diabetes type 1', 'diabetes type 2', 'gestational diabetes'. Apps were evaluated by being scored according to their number of functions and BCTs, price, and user rating. The mean (SD) number of functions was 8.9 (5.9) out of a possible maximum of 27. Furthermore, the mean (SD) number of BCTs was 4.4 (2.6) out of a possible maximum of 26. Apps with optimum BCT had significantly more functions [13.8; 95% confidence interval (CI) = 11.9-15.9] than apps that did not (4.7; 95% CI = 3.2-6.2; P < 0.01) and significantly more BCTs (5.8; 95% CI = 4.8-7.0) than apps without (3.1; 95% CI = 2.2-4.1; P < 0.01). Additionally, apps with optimum BCT also cost more than other apps. In the adjusted models, highly rated apps had an average of 4.8 (95% CI = 0.9-8.7; P = 0.02) more functions than lower rated apps. 'Diabetes apps' include few functions or BCTs compared to the maximum score possible. Apps with optimum BCTs could indicate higher quality. App developers should consider including both specific functions and BCTs in 'diabetes apps' to make them more helpful. More research is needed to understand the components of an effective app for people with diabetes. © 2016 The British Dietetic Association Ltd.

Comparison of β-cell dysfunction and insulin resistance correlating obesity with type 2 diabetes: A cross-sectional study.

PubMed

Liu, Jia; Wang, Ying; Hu, Yanjin; Leng, Song; Wang, Guang

2016-07-01

To assess the contribution of β-cell dysfunction and insulin resistance to type 2 diabetes (T2D) in obese and non-obese Chinese people. In this cross-sectional study, we recruited 1384 newly diagnosed T2D patients and 1712 healthy controls. Insulin resistance was estimated by homeostasis model assessment of insulin resistance (HOMA-IR). β-cell function was estimated by homeostasis model assessment of β-cell function (HOMA-β) and 60min insulinogenic index (IGI60). We compared the insulin resistance and β-cell function of obese and non-obese Chinese patients with and without T2D. 50.18% of control participants and 62.28% of T2D patients were obese (BMI≥25kg/m(2)). HOMA-IR, HOMA-β and IGI60 were significantly higher in obese than non-obese, irrespective of T2D. Non-obese T2D patients had significantly greater HOMA-IR, and lower HOMA-β and IGI60 than non-obese control participants. The obese T2D group had lower HOMA-β and IGI60 than the obese control group. There was no significant difference in HOMA-IR between the obese T2D and obese control groups. Multivariate logistic regression analysis revealed that HOMA-IR was associated with T2D only in non-obese group, and HOMA-β and IGI60 were associated with T2D in both non-obese and obese groups. HOMA-β and IGI60 were associated with T2D in obese and non-obese patients, but HOMA-IR was associated with T2D in non-obese Chinese. Copyright © 2016 Elsevier Inc. All rights reserved.

E-Learning Application of Tarsier with Virtual Reality using Android Platform

NASA Astrophysics Data System (ADS)

Oroh, H. N.; Munir, R.; Paseru, D.

2017-01-01

Spectral Tarsier is a primitive primate that can only be found in the province of North Sulawesi. To study these primates can be used an e-learning application with Augmented Reality technology that uses a marker to confronted the camera computer to interact with three dimensions Tarsier object. But that application only shows tarsier object in three dimensions without habitat and requires a lot of resources because it runs on a Personal Computer. The same technology can be shown three dimensions’ objects is Virtual Reality to excess can make the user like venturing into the virtual world with Android platform that requires fewer resources. So, put on Virtual Reality technology using the Android platform that can make users not only to view and interact with the tarsiers but also the habitat. The results of this research indicate that the user can learn the Tarsier and habitat with good. Thus, the use of Virtual Reality technology in the e-learning application of tarsiers can help people to see, know, and learn about Spectral Tarsier.

Object tracking on mobile devices using binary descriptors

NASA Astrophysics Data System (ADS)

Savakis, Andreas; Quraishi, Mohammad Faiz; Minnehan, Breton

2015-03-01

With the growing ubiquity of mobile devices, advanced applications are relying on computer vision techniques to provide novel experiences for users. Currently, few tracking approaches take into consideration the resource constraints on mobile devices. Designing efficient tracking algorithms and optimizing performance for mobile devices can result in better and more efficient tracking for applications, such as augmented reality. In this paper, we use binary descriptors, including Fast Retina Keypoint (FREAK), Oriented FAST and Rotated BRIEF (ORB), Binary Robust Independent Features (BRIEF), and Binary Robust Invariant Scalable Keypoints (BRISK) to obtain real time tracking performance on mobile devices. We consider both Google's Android and Apple's iOS operating systems to implement our tracking approach. The Android implementation is done using Android's Native Development Kit (NDK), which gives the performance benefits of using native code as well as access to legacy libraries. The iOS implementation was created using both the native Objective-C and the C++ programing languages. We also introduce simplified versions of the BRIEF and BRISK descriptors that improve processing speed without compromising tracking accuracy.

An Energy Efficient ECG Signal Processor Detecting Cardiovascular Diseases on Smartphone.

PubMed

Jain, Sanjeev Kumar; Bhaumik, Basabi

2017-04-01

A novel disease diagnostic algorithm for ECG signal processing based on forward search is implemented in Application Specific Integrated Circuit (ASIC) for cardiovascular disease diagnosis on smartphone. An ASIC is fabricated using 130-nm CMOS low leakage process technology. The area of our PQRST ASIC is 1.21 mm 2 . The energy dissipation of PQRST ASIC is 96 pJ with a supply voltage of 0.9 V. The outputs from the ASIC are fed to an Android application that generates diagnostic report and can be sent to a cardiologist via email. The ASIC and Android application are verified for the detection of bundle branch block, hypertrophy, arrhythmia and myocardial infarction using Physionet PTB diagnostic ECG database. The failed detection rate is 0.69%, 0.69%, 0.34% and 1.72% for bundle branch block, hypertrophy, arrhythmia and myocardial infarction respectively. The AV block is detected in all the three patients in the Physionet St. Petersburg arrhythmia database. Our proposed ASIC together with our Android application is the most suitable for an energy efficient wearable cardiovascular disease detection system.

Beneficial effects of immunotherapy with extracts derived from Actinomycetales on rats with spontaneous obesity and diabetes.

PubMed

Tarrés, María Cristina; Gayol, María Del Carmen; Picena, Juan Carlos; Alet, Nicolás; Bottasso, Oscar; McIntyre, Graham; Stanford, Cynthia; Stanford, John

2012-05-01

To determine whether immunotherapy with heat-killed, selected Actinomycetales species could influence the progression of spontaneous Type 2 diabetes mellitus and obesity in a rat model. Preparations of either Gordonia bronchialis, Tsukamurella inchonensis or a saline placebo were given by three subcutaneous injections, 30 days apart, starting when rats were aged 120 days, just before development of Type 2 diabetes mellitus, and at day 440, when the disease was well established. Bodyweight, blood sugar, cholesterol, triglycerides and insulin levels were measured to determine the effects and at the end of the experiments, animals were subjected to necropsy. The development of Type 2 diabetes mellitus was prevented by both reagents, most effectively by T. inchonensis. In the treatment experiment, the effects of the disease were reduced by both treatments, markedly so by T. inchonensis. In both experiments obesity was reduced in treated animals. The possible mechanisms of action are discussed. Our findings suggest that Type 2 diabetes mellitus in the studied rats is associated with obesity, and that both diabetes and obesity can be prevented or improved by treatment with Actinomycetales immune modulators.

May diabetes patients have trouble sleeping despite not having obesity?

PubMed

Rizzi, Maurizio; Razionale, Giancarlo; Bamberga, Michele; Barrella, Massimo; Kotzalidis, Georgios D; Certan, Diana; Bevilacqua, Maurizio

2014-06-01

Obstructive sleep apnea (OSA) and periodic limb movements during sleep (PLMs) are sleep-related disorders with a high prevalence in type 2 diabetes. Commonly OSA is considered as a consequence of obesity, but several previous studies have shown the presence of OSA in non-obese diabetic patients. A previous study showed higher PLMs prevalence in patients with type 2 diabetes, compared to age-matched controls. We speculated that both OSA and PLMs may reflect the presence of diabetic autonomic neuropathy. To test this hypothesis, we compared a group of 112 non-obese patients with type 2 diabetes with 66 age-, sex-, and body mass index- matched nondiabetic patients. Both groups have been investigated through a set of tests including the Epworth Sleepiness Scale, polysomnography, and the Orthostatic Grading Scale (OGS), a questionnaire to assess the degree of autonomic dysfunction. Diabetic patients with OSA and PLMs scored higher on the OGS than controls. Our results confirm that both OSA and PLMs are related to dysautonomy and may be unrelated to obesity in type 2 diabetes patients.

Improvement of Type 2 Diabetes Mellitus in Obese and Non-Obese Patients after the Duodenal Switch Operation

PubMed Central

Frenken, M.; Cho, E. Y.; Karcz, W. K.; Grueneberger, J.; Kuesters, S.

2011-01-01

Introduction. Type 2 diabetes mellitus (T2DM) is one of the most important obesity-related comorbidities. This study was undertaken to characterise the effect of the biliopancreatic diversion with duodenal switch (BPD-DS) in morbidly obese and nonmorbidly obese diabetic patients. Methods. Outcome of 74 obese diabetic patients after BPD-DS and 16 non-obese diabetic patients after BPD or gastric bypass surgery was evaluated. Insulin usage, HbA1c-levels, and index of HOMA-IR (homeostasis model assessment of insulin resistence) were measured. Results. A substantial fraction of patients is free of insulin and shows an improved insulin sensitivity early after the operation, another fraction gets free of insulin in a 12-month period after the operation and a small fraction of long-term insulin users will not get free of insulin but nevertheless shows an improved metabolic status (less insulin needed, normal HbA1c-levels). Conclusion. BPD-DS leads to an improvement of T2DM in obese and non-obese patients. Nevertheless, more data is needed to clarify indications and mechanisms of action and to adjust our operation techniques to the needs of non-obese diabetic patients. PMID:21461399

Improvement of type 2 diabetes mellitus in obese and non-obese patients after the duodenal switch operation.

PubMed

Frenken, M; Cho, E Y; Karcz, W K; Grueneberger, J; Kuesters, S

2011-01-01

Introduction. Type 2 diabetes mellitus (T2DM) is one of the most important obesity-related comorbidities. This study was undertaken to characterise the effect of the biliopancreatic diversion with duodenal switch (BPD-DS) in morbidly obese and nonmorbidly obese diabetic patients. Methods. Outcome of 74 obese diabetic patients after BPD-DS and 16 non-obese diabetic patients after BPD or gastric bypass surgery was evaluated. Insulin usage, HbA(1c)-levels, and index of HOMA-IR (homeostasis model assessment of insulin resistence) were measured. Results. A substantial fraction of patients is free of insulin and shows an improved insulin sensitivity early after the operation, another fraction gets free of insulin in a 12-month period after the operation and a small fraction of long-term insulin users will not get free of insulin but nevertheless shows an improved metabolic status (less insulin needed, normal HbA(1c)-levels). Conclusion. BPD-DS leads to an improvement of T2DM in obese and non-obese patients. Nevertheless, more data is needed to clarify indications and mechanisms of action and to adjust our operation techniques to the needs of non-obese diabetic patients.

A proteomic approach to obesity and type 2 diabetes

PubMed Central

López-Villar, Elena; Martos-Moreno, Gabriel Á; Chowen, Julie A; Okada, Shigeru; Kopchick, John J; Argente, Jesús

2015-01-01

The incidence of obesity and type diabetes 2 has increased dramatically resulting in an increased interest in its biomedical relevance. However, the mechanisms that trigger the development of diabetes type 2 in obese patients remain largely unknown. Scientific, clinical and pharmaceutical communities are dedicating vast resources to unravel this issue by applying different omics tools. During the last decade, the advances in proteomic approaches and the Human Proteome Organization have opened and are opening a new door that may be helpful in the identification of patients at risk and to improve current therapies. Here, we briefly review some of the advances in our understanding of type 2 diabetes that have occurred through the application of proteomics. We also review, in detail, the current improvements in proteomic methodologies and new strategies that could be employed to further advance our understanding of this pathology. By applying these new proteomic advances, novel therapeutic and/or diagnostic protein targets will be discovered in the obesity/Type 2 diabetes area. PMID:25960181

Defective enamel ultrastructure in diabetic rodents.

PubMed

Atar, M; Atar-Zwillenberg, D R; Verry, P; Spornitz, U M

2004-07-01

We investigated six different types of diabetic rodents. Four expressed a genetic obesity resulting in diabetes. One developed diabetes induced by a diet-dependent obesity, and one with genetic diabetes received anti-diabetic medication. The tooth samples were examined under a scanning electron microscope and with an energy dispersive microanalysis (EDX). The electron micrographs showed severe, varying degrees of damage within the six different diabetic animal types, such as irregular crystallite deposition and prism perforations in genetically obese animals compared to less-disordered prism structures in diet-dependent obesity. Anti-diabetic medication resulted in normal enamel ultrastructure. The EDX analysis revealed a reduction in the amount of calcium and phosphorus in all regions affected by diabetes. Based on these animal studies, we suggest that both juvenile diabetes type I (in infants) and adult diabetes type II (in pregnant mothers, affecting the developing foetus) may affect the normal development of teeth in humans.

Association of Major Dietary Patterns with General and Abdominal Obesity in Iranian Patients with Type 2 Diabetes Mellitus.

PubMed

Ghane Basiri, Marjan; Sotoudeh, Gity; Djalali, Mahmood; Reza Eshraghian, Mohammad; Noorshahi, Neda; Rafiee, Masoumeh; Nikbazm, Ronak; Karimi, Zeinab; Koohdani, Fariba

2015-01-01

The aim of this study was to identify dietary patterns associated with general and abdominal obesity in type 2 diabetic patients. We included 728 patients (35 - 65 years) with type 2 diabetes mellitus in this cross-sectional study. The usual dietary intake of individuals over 1 year was collected using a validated semi-quantitative food frequency questionnaire. Weight, height, and waist circumference were measured according to standard protocol. The two major dietary patterns identified by factor analysis were healthy and unhealthy dietary patterns. After adjustment for potential confounders, subjects in the highest quintile of the healthy dietary pattern scores had a lower odds ratio for the general obesity when compared to the lowest quintile (OR = 0.45, 95 % CI = 0.26 - 0.79, P for trend = 0.02), while patients in the highest quintile of the unhealthy dietary pattern scores had greater odds for the general obesity (OR = 3.2, 95 % CI = 1.8 - 5.9, P for trend < 0.001). There were no significant associations between major dietary patterns and abdominal obesity, even after adjusting for confounding factors. This study shows that in patients with type 2 diabetes mellitus, a healthy dietary pattern is inversely associated and an unhealthy dietary pattern is directly associated with general obesity.

Gene-gene interactions among genetic variants from obesity candidate genes for nonobese and obese populations in type 2 diabetes.

PubMed

Lin, Eugene; Pei, Dee; Huang, Yi-Jen; Hsieh, Chang-Hsun; Wu, Lawrence Shih-Hsin

2009-08-01

Recent studies indicate that obesity may play a key role in modulating genetic predispositions to type 2 diabetes (T2D). This study examines the main effects of both single-locus and multilocus interactions among genetic variants in Taiwanese obese and nonobese individuals to test the hypothesis that obesity-related genes may contribute to the etiology of T2D independently and/or through such complex interactions. We genotyped 11 single nucleotide polymorphisms for 10 obesity candidate genes including adrenergic beta-2-receptor surface, adrenergic beta-3-receptor surface, angiotensinogen, fat mass and obesity associated gene, guanine nucleotide binding protein beta polypeptide 3 (GNB3), interleukin 6 receptor, proprotein convertase subtilisin/kexin type 1 (PCSK1), uncoupling protein 1, uncoupling protein 2, and uncoupling protein 3. There were 389 patients diagnosed with T2D and 186 age- and sex-matched controls. Single-locus analyses showed significant main effects of the GNB3 and PCSK1 genes on the risk of T2D among the nonobese group (p = 0.002 and 0.047, respectively). Further, interactions involving GNB3 and PCSK1 were suggested among the nonobese population using the generalized multifactor dimensionality reduction method (p = 0.001). In addition, interactions among angiotensinogen, fat mass and obesity associated gene, GNB3, and uncoupling protein 3 genes were found in a significant four-locus generalized multifactor dimensionality reduction model among the obese population (p = 0.001). The results suggest that the single nucleotide polymorphisms from the obesity candidate genes may contribute to the risk of T2D independently and/or in an interactive manner according to the presence or absence of obesity.

A comparison of patient-centered economic and clinical outcomes of post-mastectomy breast reconstruction between obese and non-obese patients.

PubMed

Huo, Jinhai; Smith, Benjamin D; Giordano, Sharon H; Reece, Gregory P; Tina Shih, Ya-Chen

2016-12-01

The objectives of this study were to compare, by patient obesity status, the contemporary utilization patterns of different reconstruction surgery types, understand postoperative complication profiles in the community setting, and analyze the financial impact on health care payers and patients. Using data from the MarketScan Health Risk Assessment Database and Commercial Claims and Encounters Database, we identified breast cancer patients who received breast reconstruction surgery following mastectomy between 2009 and 2012. The Cochran-Armitage test was used to evaluate the utilization pattern of breast reconstruction surgery. Multivariable logistic regressions were used to estimate the association between obesity status and infectious, wound, and perfusion complications within one year of surgery. A generalized linear model was used to compare total, complication-related, and out-of-pocket costs. The rate of TE/implant-based reconstruction increased significantly for non-obese patients but not for obese patients during the years analyzed, whereas autologous reconstruction decreased for both patient groups. Obesity was associated with higher odds of infectious, wound, and perfusion complications after TE/implant-based reconstruction, and higher odds of perfusion complications after autologous reconstruction. The adjusted total healthcare costs and out-of-pocket costs were similar for obese and non-obese patients for either type of breast reconstruction surgery. A greater likelihood of one-year complications arose from TE/implant-based vs autologous reconstruction surgery in obese patients. Given that out-of-pocket costs were independent of the type of reconstruction, greater emphasis should be placed on conveying the surgery-related complications to obese patients to aid in patient-based decision making with their plastic surgeons and oncologists. Copyright © 2016 Elsevier Ltd. All rights reserved.

Childhood Obesity and Schools: Evidence from the National Survey of Children's Health

ERIC Educational Resources Information Center

Li, Ji; Hooker, Neal H.

2010-01-01

Background: The international prevalence of childhood obesity and obesity-related diseases has received increasing attention. Applying data from the Centers for Disease Control and Prevention, we explore relationships between childhood obesity and school type, National School Lunch Program (NSLP) and School Breakfast Program (SBP) eligibility,…

Obesity, Metabolic Syndrome, and Physical Activity.

ERIC Educational Resources Information Center

Yeater, Rachel

2000-01-01

Discusses the scope of the problem of obesity in the United States, noting the health risks associated with being overweight or obese (e.g., gallstones, osteoarthritis, sleep apnea, and colon cancer); discussing the association of type-II diabetes mellitus with obesity; examining the effects of exercise on metabolic disease; and looking at…

Coronary artery calcification in obese youth: What are the phenotypic and metabolic determinants?

USDA-ARS?s Scientific Manuscript database

Obesity in adolescence has been associated with increased risk for coronary heart disease in adulthood. This study evaluated subclinical atherosclerosis in obese youth and the underlying risk factors. Ninety obese adolescents (37 normal glucose tolerant, 27 prediabetes, and 26 type 2 diabetes) under...

A typology of beverage taxation: Multiple approaches for obesity prevention and obesity prevention-related revenue generation

PubMed Central

Chriqui, Jamie F; Chaloupka, Frank J; Powell, Lisa M; Eidson, Shelby S

2013-01-01

Obesity is a global problem. Sugar-sweetened beverages (SSB) are a leading contributor of added sugars in individual diets and thus to obesity. Governments have considered taxing SSBs to prevent obesity and generate revenue, but no ‘one-size-fits-all' taxation approach exists. We describes three key considerations for governments interested in exploring beverage taxation: (i) what type of tax to apply plus how and where the tax is collected and presented to consumers; (ii) what types of beverages to tax; and (iii) the amount of tax needed to affect consumption and/or obesity prevention-related revenue generation. We offer examples of existing beverage taxes in the United States and internationally. The information will be useful to policymakers at all levels of government, as they continue to consider beverage taxation policies. PMID:23698157

Beyond gut microbiota: understanding obesity and type 2 diabetes.

PubMed

Lau, Eva; Carvalho, Davide; Pina-Vaz, Cidália; Barbosa, José-Adelino; Freitas, Paula

2015-01-01

Obesity and type 2 diabetes are metabolic diseases that have reached epidemic proportions worldwide. Although their etiology is complex, both result from interplay between behaviour, environment and genetic factors. Within ambient determinants, human overall gut bacteria have been identified as a crucial mediator of obesity and its consequences. Gut microbiota plays a crucial role in gastro-intestinal mucosa permeability and regulates the fermentation and absorption of dietary polyssacharides, which may explain its importance in the regulation of fat accumulation and the resultant development of obesity-related diseases. The main objective of this review is to address the pathogenic association between gut microbiota and obesity and to explore related innovative therapeutic targets. New insights into the role of the small bowel and gut microbiota in diabetes and obesity may make possible the development of integrated strategies to prevent and treat these metabolic disorders.

A typology of beverage taxation: multiple approaches for obesity prevention and obesity prevention-related revenue generation.

PubMed

Chriqui, Jamie F; Chaloupka, Frank J; Powell, Lisa M; Eidson, Shelby S

2013-08-01

Obesity is a global problem. Sugar-sweetened beverages (SSB) are a leading contributor of added sugars in individual diets and thus to obesity. Governments have considered taxing SSBs to prevent obesity and generate revenue, but no 'one-size-fits-all' taxation approach exists. We describes three key considerations for governments interested in exploring beverage taxation: (i) what type of tax to apply plus how and where the tax is collected and presented to consumers; (ii) what types of beverages to tax; and (iii) the amount of tax needed to affect consumption and/or obesity prevention-related revenue generation. We offer examples of existing beverage taxes in the United States and internationally. The information will be useful to policymakers at all levels of government, as they continue to consider beverage taxation policies.

Incretin secretion in obese Korean children and adolescents with newly diagnosed type 2 diabetes.

PubMed

Park, So Hyun; Jung, Min Ho; Cho, Won Kyoung; Park, Mi Sun; Suh, Byung Kyu

2016-01-01

The role of incretins in type 2 diabetes is controversial. This study investigated the association between incretin levels in obese Korean children and adolescents newly diagnosed with type 2 diabetes. We performed a 2-hr oral glucose tolerance test (OGTT) in obese children and adolescents with type 2 diabetes and with normal glucose tolerance. Twelve obese children and adolescents with newly diagnosed type 2 diabetes (DM group) and 12 obese age-matched subjects without type 2 diabetes (NDM group) were included. An OGTT was conducted and insulin, C-peptide, glucagon, glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP) were measured during the OGTT. The mean age of the patients was 13·8 ± 2·0 years, and the mean body mass index (BMI) Z-score was 2·1 ± 0·5. The groups were comparable in age, sex, BMI Z-score and waist:hip ratio. The DM group had significantly lower homeostasis model assessment of β and insulinogenic index values (P < 0·001). The homeostasis model assessment of insulin resistance index was not different between the two groups. Insulin and C-peptide secretions were significantly lower in the DM group than in the NDM group (P < 0·001). Total GLP-1 secretion was significantly higher in the DM group while intact GLP-1 and GIP secretion values were not significantly different between the two groups. Impaired insulin secretion might be important in the pathogenesis of type 2 diabetes in obese Korean children and adolescents, however, which may not be attributed to incretin secretion. © 2015 John Wiley & Sons Ltd.

Translational value of animal models of obesity-Focus on dogs and cats.

PubMed

Osto, Melania; Lutz, Thomas A

2015-07-15

A prolonged imbalance between a relative increase in energy intake over a decrease in energy expenditure results in the development of obesity; extended periods of a positive energy balance eventually lead to the accumulation of abnormally high amounts of fat in adipose tissue but also in other organs. Obesity is considered a clinical state of impaired general heath in which the excessive increase in adipose tissue mass may be associated with metabolic disorders such as type 2 diabetes mellitus, hyperlipidemia, hypertension and cardiovascular diseases. This review discusses briefly the use of animal models for the study of obesity and its comorbidities. Generally, most studies are performed with rodents, such as diet induced obesity and genetic models. Here, we focus specifically on two different species, namely dogs and cats. Obese dogs and cats show many features of human obesity. Interestingly, however, dogs and cats differ from each other in certain aspects because even though obese dogs may become insulin resistant, this does not result in the development of diabetes mellitus. In fact, diabetes in dogs is typically not associated with obesity because dogs present a type 1 diabetes-like syndrome. On the other hand, obese cats often develop diabetes mellitus which shares many features with human type 2 diabetes; feline and human diabetes are similar in respect to their pathophysiology, underlying risk factors and treatment strategies. Our review discusses genetic and endocrine factors in obesity, discusses obesity induced changes in lipid metabolism and includes some recent findings on the role of gut microbiota in obesity. Compared to research in rodent models, the array of available techniques and tools is unfortunately still rather limited in dogs and cats. Hence, even though physiological and pathophysiological phenomena are well described in dogs and cats, the underlying mechanisms are often not known and studies investigating causality specifically are scarce. Copyright © 2015 Elsevier B.V. All rights reserved.

Mobile healthcare information management utilizing Cloud Computing and Android OS.

PubMed

Doukas, Charalampos; Pliakas, Thomas; Maglogiannis, Ilias

2010-01-01

Cloud Computing provides functionality for managing information data in a distributed, ubiquitous and pervasive manner supporting several platforms, systems and applications. This work presents the implementation of a mobile system that enables electronic healthcare data storage, update and retrieval using Cloud Computing. The mobile application is developed using Google's Android operating system and provides management of patient health records and medical images (supporting DICOM format and JPEG2000 coding). The developed system has been evaluated using the Amazon's S3 cloud service. This article summarizes the implementation details and presents initial results of the system in practice.

The Design and Development of BMI Calc Android Application

NASA Astrophysics Data System (ADS)

Mohd Ali, Iliana; Samsudin, Nooraida

2016-11-01

Body mass index is a familiar term for those who are weight conscious. It is the term that let user know about the overall body composition in terms of fat.The available body mass index calculators whether online or on Play Store do not provide Malaysian meal suggestions. Hence, this paper proposes an application for body mass index calculator together with Malaysian meal suggestion. The objectives of the study are to design and develop BMI Calc android application for the purpose of calculating body mass index while embedding meal suggestion module. The design and methodology involve in the process are also presented.

Wireless Control of Miniaturized Mobile Vehicle for Indoor Surveillance

NASA Astrophysics Data System (ADS)

Taha Saquib, Syed M.; Hameed, Sarmad; Usman Ali, Syed M.; Jafri, Raza; Amin, Imran

2013-12-01

This work is based upon electronic automation and Smart Control techniques, which constitute the basis of Control Area Network (CAN) and Personal Area Network (PAN). Bluetooth technology has been interfaced with a programmable controller to provide multi-dimensional vehicle control. A network is proposed which contains a remote, mobile host controller and an android operating system based mobile set (Client). The client communicates with a host controller through a Bluetooth device. The system incorporates duplex communication after successful confirmation between the host and the client; the android based mobile unit controls the vehicle through the Bluetooth module.

Implementation and Analysis of Real-Time Streaming Protocols

PubMed Central

Santos-González, Iván; Rivero-García, Alexandra; Molina-Gil, Jezabel; Caballero-Gil, Pino

2017-01-01

Communication media have become the primary way of interaction thanks to the discovery and innovation of many new technologies. One of the most widely used communication systems today is video streaming, which is constantly evolving. Such communications are a good alternative to face-to-face meetings, and are therefore very useful for coping with many problems caused by distance. However, they suffer from different issues such as bandwidth limitation, network congestion, energy efficiency, cost, reliability and connectivity. Hence, the quality of service and the quality of experience are considered the two most important issues for this type of communication. This work presents a complete comparative study of two of the most used protocols of video streaming, Real Time Streaming Protocol (RTSP) and the Web Real-Time Communication (WebRTC). In addition, this paper proposes two new mobile applications that implement those protocols in Android whose objective is to know how they are influenced by the aspects that most affect the streaming quality of service, which are the connection establishment time and the stream reception time. The new video streaming applications are also compared with the most popular video streaming applications for Android, and the experimental results of the analysis show that the developed WebRTC implementation improves the performance of the most popular video streaming applications with respect to the stream packet delay. PMID:28417949

Knowledge and Lifestyle-Associated Prevalence of Obesity among Newly Diagnosed Type II Diabetes Mellitus Patients Attending Diabetic Clinic at Komfo Anokye Teaching Hospital, Kumasi, Ghana: A Hospital-Based Cross-Sectional Study

PubMed Central

Obirikorang, Yaa; Obirikorang, Christian; Odame Anto, Enoch; Acheampong, Emmanuel; Dzah, Nyalako; Akosah, Caroline Nkrumah; Nsenbah, Emmanuella Batu

2016-01-01

This study aimed to determine the knowledge and prevalence of obesity among Ghanaian newly diagnosed type 2 diabetics. This cross-sectional study was conducted among diagnosed type 2 diabetics. Structured questionnaire was used to obtain data. Anthropometric measurements and fasting blood sugar levels were also assessed. Participants had adequate knowledge about the general concept of obesity (72.0%) and method of weight measurement (98.6%) but were less knowledgeable of ideal body weight (4.2%). The commonly known cause, complication, and management of obesity were poor diet (76.9%), hypertension (81.8%), and diet modification (86.7%), respectively. The anthropometric measures were higher among females compared to males. Prevalence of obesity was 61.3% according to WHR classification, 40.8% according to WHtR classification, 26.1% according to WC, and 14.8% according to BMI classification. Being female was significantly associated with high prevalence of obesity irrespective of the anthropometric measure used (p < 0.05). Taking of snacks in meals, eating meals late at night, physical inactivity, excessive fast food intake, and alcoholic beverage intake were associated with increased prevalence of obesity (p < 0.05). Prevalence of obesity is high among diabetic patient and thus increasing effort towards developing and making education programs by focusing on adjusting to lifestyle modifications is required. PMID:26881262

Knowledge and Lifestyle-Associated Prevalence of Obesity among Newly Diagnosed Type II Diabetes Mellitus Patients Attending Diabetic Clinic at Komfo Anokye Teaching Hospital, Kumasi, Ghana: A Hospital-Based Cross-Sectional Study.

PubMed

Obirikorang, Yaa; Obirikorang, Christian; Odame Anto, Enoch; Acheampong, Emmanuel; Dzah, Nyalako; Akosah, Caroline Nkrumah; Nsenbah, Emmanuella Batu

2016-01-01

This study aimed to determine the knowledge and prevalence of obesity among Ghanaian newly diagnosed type 2 diabetics. This cross-sectional study was conducted among diagnosed type 2 diabetics. Structured questionnaire was used to obtain data. Anthropometric measurements and fasting blood sugar levels were also assessed. Participants had adequate knowledge about the general concept of obesity (72.0%) and method of weight measurement (98.6%) but were less knowledgeable of ideal body weight (4.2%). The commonly known cause, complication, and management of obesity were poor diet (76.9%), hypertension (81.8%), and diet modification (86.7%), respectively. The anthropometric measures were higher among females compared to males. Prevalence of obesity was 61.3% according to WHR classification, 40.8% according to WHtR classification, 26.1% according to WC, and 14.8% according to BMI classification. Being female was significantly associated with high prevalence of obesity irrespective of the anthropometric measure used (p < 0.05). Taking of snacks in meals, eating meals late at night, physical inactivity, excessive fast food intake, and alcoholic beverage intake were associated with increased prevalence of obesity (p < 0.05). Prevalence of obesity is high among diabetic patient and thus increasing effort towards developing and making education programs by focusing on adjusting to lifestyle modifications is required.

Unusual Suspects in the Development of Obesity-Induced Inflammation and Insulin Resistance: NK cells, iNKT cells, and ILCs.

PubMed

Bonamichi, Beatriz Dal Santo Francisco; Lee, Jongsoon

2017-08-01

The notion that obesity-induced inflammation mediates the development of insulin resistance in animal models and humans has been gaining strong support. It has also been shown that immune cells in local tissues, in particular in visceral adipose tissue, play a major role in the regulation of obesity-induced inflammation. Specifically, obesity increases the numbers and activation of proinflammatory immune cells, including M1 macrophages, neutrophils, Th1 CD4 T cells, and CD8 T cells, while simultaneously suppressing anti-inflammatory cells such as M2 macrophages, CD4 regulatory T cells, regulatory B cells, and eosinophils. Recently, however, new cell types have been shown to participate in the development of obesity-induced inflammation and insulin resistance. Some of these cell types also appear to regulate obesity. These cells are natural killer (NK) cells and innate lymphoid cells (ILCs), which are closely related, and invariant natural killer T (iNKT) cells. It should be noted that, although iNKT cells resemble NK cells in name, they are actually a completely different cell type in terms of their development and functions in immunity and metabolism. In this review, we will focus on the roles that these relatively new players in the metabolism field play in obesity-induced insulin resistance and the regulation of obesity. Copyright © 2017 Korean Diabetes Association.

Surgery in the treatment of type 2 diabetes mellitus.

PubMed

Maleckas, A; Venclauskas, L; Wallenius, V; Lönroth, H; Fändriks, L

2015-03-01

The prevalence of diabetes is increasing worldwide, and most of the cases are type 2 diabetes mellitus. The relationship between type 2 diabetes mellitus and obesity is well established, and surgical treatment is widely used for obese patients with type 2 diabetes mellitus. The aim was to present current knowledge about the possible mechanisms responsible for glucose control after surgical procedures and to review the surgical treatment results. Medical literature was searched for the articles presenting the impact of surgical treatment on glycemic control, long-term results, and possible mechanisms of action among obese individuals with type 2 diabetes mellitus. Remission of type 2 diabetes mellitus after bariatric surgery depends on the definition of the remission used. Complete remission rate after surgery with the new criteria is lower than was considered before. Randomized controlled studies demonstrate that surgery is superior to best medical treatment for the patients with type 2 diabetes mellitus. The recurrence of type 2 diabetes mellitus after bariatric surgery is observed in up to 40% of cases with ≥ 5 years of follow-up. Despite the recurrence of type 2 diabetes mellitus in this group, better glycemic control and lower risk of macrovascular complications are present. Incretin effects on glycemic control after bariatric surgery are well described, but the role of other possible mechanisms (bile acids, microbiota, intestinal gluconeogenesis) in humans is unclear. Surgery is an effective treatment of type 2 diabetes mellitus in obese patients. The most optimal surgical procedure for the treatment of obese patients with type 2 diabetes mellitus is still to be established. More research is needed to explore the mechanisms of glycemic control after bariatric surgery. © The Finnish Surgical Society 2015.

Friends Like Me: Associations in Overweight/Obese Status among Adolescent Friends by Race/Ethnicity, Sex, and Friendship Type.

PubMed

Bruening, Meg; MacLehose, Richard; Eisenberg, Marla E; Kim, Sunkyung; Story, Mary; Neumark-Sztainer, Dianne

2015-12-01

Little is known about how interpersonal friend relationships are associated with obesity in young people, particularly with regard to how race/ethnicity, type of friendship, and sex affect the association between friends' and adolescents' weight status. This study examined associations in weight status among adolescents and their friends, exploring magnitudes of associations across friendship type, sex, and race/ethnicity. As part of EAT-2010 (Eating and Activity in Teens), friend nominations and anthropometrics were obtained from adolescents (n = 2099: 54% female; 80% nonwhite; mean age: 14.2 ± 1.9 years). Generalized estimating equation logistic regression models were used to test associations between adolescents' overweight/obese status and friends' (i.e., friend group, female friends, male friends, female best friends, and male best friends) overweight/obese status. Interactions by adolescent race/ethnicity were examined. The majority of significant associations were observed among white female adolescents' who had a 22-40% higher prevalence of overweight/obesity if their friends were overweight compared to white females whose friends were not overweight. In contrast, there were few significant differences for other adolescent female and male racial/ethnic groups for girls and boys. Results for friend groups and best friends were generally similar to one another. The association between friend and adolescent overweight/obese status depended on adolescents' sex, race/ethnicity, and friendship type. Given the similarities among friends, obesity interventions targeting youth, especially white females, should consider involving friends.

Natural food science based novel approach toward prevention and treatment of obesity and type 2 diabetes: recent studies on brown rice and γ-oryzanol.

PubMed

Kozuka, Chisayo; Yabiku, Kouichi; Takayama, Chitoshi; Matsushita, Masayuki; Shimabukuro, Michio

2013-01-01

The prevalences of obesity and type 2 diabetes mellitus are dramatically increasing, and there is a strong need for more effective and safer therapies. However, some of drugs show limited efficacy and considerable adverse effects. Furthermore, artificial energy-dense foods and non-caloric foods may promote overeating and weight gain. In this context, a natural food-based approach may represent a valuable means of tackling the obesity-diabetes syndrome. Although recent studies have shown that brown rice improves glucose intolerance and prevents obesity and type 2 diabetes in humans, the underlying molecular mechanisms remain unclear. We found that one of the major components of brown rice, γ-oryzanol (Orz), plays an important role in the metabolically beneficial effects of brown rice. Orz acts as a chemical chaperone and decreases high fat diet (HFD)-induced endoplasmic reticulum (ER) stress in the hypothalamus, thereby leading to a significant shift in preference from fatty to healthy foods. Orz also decreases HFD-induced ER stress in pancreatic β-cells and improves β-cell function. Notably, Orz directly acts on pancreatic islets and enhances glucose-stimulated insulin secretion (GSIS). This evidence highlights food preference as a promising therapeutic target in obesity-diabetes syndrome and suggests that brown rice and Orz may have potential for the treatment of obesity and type 2 diabetes in humans. © 2013 Asian Oceanian Association for the Study of Obesity. Published by Elsevier Ltd. All rights reserved.

Lorcaserin for weight management

PubMed Central

Taylor, James R; Dietrich, Eric; Powell, Jason

2013-01-01

Type 2 diabetes and obesity commonly occur together. Obesity contributes to insulin resistance, a main cause of type 2 diabetes. Modest weight loss reduces glucose, lipids, blood pressure, need for medications, and cardiovascular risk. A number of approaches can be used to achieve weight loss, including lifestyle modification, surgery, and medication. Lorcaserin, a novel antiobesity agent, affects central serotonin subtype 2A receptors, resulting in decreased food intake and increased satiety. It has been studied in obese patients with type 2 diabetes and results in an approximately 5.5 kg weight loss, on average, when used for one year. Headache, back pain, nasopharyngitis, and nausea were the most common adverse effects noted with lorcaserin. Hypoglycemia was more common in the lorcaserin groups in the clinical trials, but none of the episodes were categorized as severe. Based on the results of these studies, lorcaserin was approved at a dose of 10 mg twice daily in patients with a body mass index ≥30 kg/m2 or ≥27 kg/m2 with at least one weight-related comorbidity, such as hypertension, type 2 diabetes mellitus, or dyslipidemia, in addition to a reduced calorie diet and increased physical activity. Lorcaserin is effective for weight loss in obese patients with and without type 2 diabetes, although its specific role in the management of obesity is unclear at this time. This paper reviews the clinical trials of lorcaserin, its use from the patient perspective, and its potential role in the treatment of obesity. PMID:23788837

Lorcaserin for weight management.

PubMed

Taylor, James R; Dietrich, Eric; Powell, Jason

2013-01-01

Type 2 diabetes and obesity commonly occur together. Obesity contributes to insulin resistance, a main cause of type 2 diabetes. Modest weight loss reduces glucose, lipids, blood pressure, need for medications, and cardiovascular risk. A number of approaches can be used to achieve weight loss, including lifestyle modification, surgery, and medication. Lorcaserin, a novel antiobesity agent, affects central serotonin subtype 2A receptors, resulting in decreased food intake and increased satiety. It has been studied in obese patients with type 2 diabetes and results in an approximately 5.5 kg weight loss, on average, when used for one year. Headache, back pain, nasopharyngitis, and nausea were the most common adverse effects noted with lorcaserin. Hypoglycemia was more common in the lorcaserin groups in the clinical trials, but none of the episodes were categorized as severe. Based on the results of these studies, lorcaserin was approved at a dose of 10 mg twice daily in patients with a body mass index ≥30 kg/m(2) or ≥27 kg/m(2) with at least one weight-related comorbidity, such as hypertension, type 2 diabetes mellitus, or dyslipidemia, in addition to a reduced calorie diet and increased physical activity. Lorcaserin is effective for weight loss in obese patients with and without type 2 diabetes, although its specific role in the management of obesity is unclear at this time. This paper reviews the clinical trials of lorcaserin, its use from the patient perspective, and its potential role in the treatment of obesity.

Prevalence and predictors of osteopenia and osteoporosis in postmenopausal Chinese women with type 2 diabetes.

PubMed

Zhou, Yijun; Li, Yan; Zhang, Dan; Wang, Jiahe; Yang, Hongwu

2010-12-01

To determine the prevalence and biochemical/hormonal determinants of osteopenia/osteoporosis in postmenopausal Chinese women with type 2 diabetes. This cross-sectional study was carried out in 890 postmenopausal women with type 2 diabetes and 689 age-matched non-diabetic women. Of the total subjects included in both groups were classified as obese (BMI ≥ 25 kg/m²) and non-obese (BMI< 25 kg/m²). Bone mineral density (BMD) at the sites (lumbar spine, femoral neck, and hip), obtained by dual X-ray absorptiometry and some other relevant clinical and laboratory indices of bone mineral metabolism were investigated. The prevalence of osteopenia and that of osteoporosis were evaluated. BMDs, T- and Z-scores at the total hip, femoral neck and ward's triangle were significantly lower in non-obese diabetic women than those in BMI-matched control subjects (P < 0.038). Obese diabetic patients and control subjects had similar BMDs and T- and Z-scores at various skeletal regions. Osteopenia/osteoporosis was more common at the hip and femoral neck in non-obese diabetic women than in obese diabetic women and control subjects (P = 0.026). On multiple linear regression analysis, which was adjusted for the sex hormone concentration, BMI, fasting insulin level, and serum osteocalcin were positively associated with BMDs at the hip and lumbar spine. Age, mean HbA₁(c) levels, and NTx/Cr showed negative correlation (P < 0.0284) with BMD at the lumbar spine and femoral neck. Postmenopausal non-obese women with type 2 diabetes have lower BMD levels and higher osteopenia/osteoporosis rate than BMI-matched control subjects. Impaired bone formation may occur in Chinese postmenopausal women with type 2 diabetes. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

MAP4K4 and IL-6+ Th17 cells play important roles in non-obese type 2 diabetes.

PubMed

Chuang, Huai-Chia; Tan, Tse-Hua

2017-01-07

Obesity is a causal factor of type 2 diabetes (T2D); however, people without obesity (including lean, normal weight, or overweight) may still develop T2D. Non-obese T2D is prevalent in Asia and also frequently occurs in Europe. Recently, multiple evidences oppose the notion that either obesity or central obesity (visceral fat accumulation) promotes non-obese T2D. Several factors such as inflammation and environmental factors contribute to non-obese T2D. According to the data derived from gene knockout mice and T2D clinical samples in Asia and Europe, the pathogenesis of non-obese T2D has been unveiled recently. MAP4K4 downregulation in T cells results in enhancement of the IL-6 + Th17 cell population, leading to insulin resistance and T2D in both human and mice. Moreover, MAP4K4 single nucleotide polymorphisms and epigenetic changes are associated with T2D patients. Interactions between MAP4K4 gene variants and environmental factors may contribute to MAP4K4 attenuation in T cells, leading to non-obese T2D. Future investigations of the pathogenesis of non-obese T2D shall lead to development of precision medicine for non-obese T2D.

Failure of Hyperglycemia and Hyperinsulinemia to Compensate for Impaired Metabolic Response to an Oral Glucose Load

PubMed Central

Hussain, M; Janghorbani, M; Schuette, S; Considine, RV; Chisholm, RL; Mather, KJ

2014-01-01

Objective To evaluate whether the augmented insulin and glucose response to a glucose challenge is sufficient to compensate for defects in glucose utilization in obesity and type 2 diabetes, using a breath test measurement of integrated glucose metabolism. Methods Non-obese, obese normoglycemic and obese Type 2 diabetic subjects were studied on 2 consecutive days. A 75g oral glucose load spiked with 13C-glucose was administered, measuring exhaled breath 13CO2 as an integrated measure of glucose metabolism and oxidation. A hyperinsulinemic euglycemic clamp was performed, measuring whole body glucose disposal rate. Body composition was measured by DEXA. Multivariable analyses were performed to evaluate the determinants of the breath 13CO2. Results Breath 13CO2 was reduced in obese and type 2 diabetic subjects despite hyperglycemia and hyperinsulinemia. The primary determinants of breath response were lean mass, fat mass, fasting FFA concentrations, and OGTT glucose excursion. Multiple approaches to analysis showed that hyperglycemia and hyperinsulinemia were not sufficient to compensate for the defect in glucose metabolism in obesity and diabetes. Conclusions Augmented insulin and glucose responses during an OGTT are not sufficient to overcome the underlying defects in glucose metabolism in obesity and diabetes. PMID:25511878

The l-α-Lysophosphatidylinositol/GPR55 System and Its Potential Role in Human Obesity

PubMed Central

Moreno-Navarrete, José María; Catalán, Victoria; Whyte, Lauren; Díaz-Arteaga, Adenis; Vázquez-Martínez, Rafael; Rotellar, Fernando; Guzmán, Rocío; Gómez-Ambrosi, Javier; Pulido, Marina R.; Russell, Wendy R.; Imbernón, Mónica; Ross, Ruth A.; Malagón, María M.; Dieguez, Carlos; Fernández-Real, José Manuel; Frühbeck, Gema; Nogueiras, Ruben

2012-01-01

GPR55 is a putative cannabinoid receptor, and l-α-lysophosphatidylinositol (LPI) is its only known endogenous ligand. We investigated 1) whether GPR55 is expressed in fat and liver; 2) the correlation of both GPR55 and LPI with several metabolic parameters; and 3) the actions of LPI on human adipocytes. We analyzed CB1, CB2, and GPR55 gene expression and circulating LPI levels in two independent cohorts of obese and lean subjects, with both normal or impaired glucose tolerance and type 2 diabetes. Ex vivo experiments were used to measure intracellular calcium and lipid accumulation. GPR55 levels were augmented in the adipose tissue of obese subjects and further so in obese patients with type 2 diabetes when compared with nonobese subjects. Visceral adipose tissue GPR55 correlated positively with weight, BMI, and percent fat mass, particularly in women. Hepatic GPR55 gene expression was similar in obese and type 2 diabetic subjects. Circulating LPI levels were increased in obese patients and correlated with fat percentage and BMI in women. LPI increased the expression of lipogenic genes in visceral adipose tissue explants and intracellular calcium in differentiated visceral adipocytes. These findings indicate that the LPI/GPR55 system is positively associated with obesity in humans. PMID:22179809

Substance Abuse and Mental Health Services Administration (SAMHSA) Behavioral Health Disaster Response App.

PubMed

Seligman, Jamie; Felder, Stephanie S; Robinson, Maryann E

2015-10-01

The Substance Abuse and Mental Health Services Administration (SAMHSA) in the Department of Health and Human Services offers extensive disaster behavior health resources to assist disaster survivors in preparing for, responding to, and recovering from natural and manmade disasters. One of SAMHSA's most innovative resources is the SAMHSA Behavioral Health Disaster Response App (SAMHSA Disaster App). The SAMHSA Disaster App prepares behavioral health responders for any type of traumatic event by allowing them to access disaster-related materials and other key resources right on their phone, at the touch of a button. The SAMHSA Disaster App is available on iPhone, Android, and BlackBerry devices.

Adipose tissue macrophages in the Development of Obesity-induced Inflammation, Insulin Resistance and Type 2 Diabetes

PubMed Central

Lee, Jongsoon

2014-01-01

It has been increasingly accepted that chronic subacute inflammation plays an important role in the development of insulin resistance and Type 2 Diabetes in animals and humans. Particularly supporting this is that suppression of systemic inflammation in Type 2 Diabetes improves glycemic control; this also points to a new potential therapeutic target for the treatment of Type 2 Diabetes. Recent studies strongly suggest that obesity-induced inflammation is mainly mediated by tissue resident immune cells, with particular attention being focused on adipose tissue macrophages (ATMs). This review delineates the current progress made in understanding obesity-induced inflammation and the roles ATMs play in this process. PMID:23397293

Prevalence of type 2 diabetes and obesity in rural Mapuche population from Chile.

PubMed

Pérez-Bravo, F; Carrasco, E; Santos, J L; Calvillán, M; Larenas, G; Albala, C

2001-03-01

The aim of this study was to estimate the prevalence of Type 2 diabetes, impaired glucose tolerance (IGT), and obesity in the Mapuche natives from rural areas in Chile. This cross-sectional study involved men (n = 95) and women (n = 224) older than 20 y from an aboriginal ethnic group (Mapuches), residing in rural communities from the south of Chile. Prevalence of Type 2 diabetes and IGT was calculated according to the World Health Organization criteria. Data on age, degree of ancestral purity, obesity, and hypertension were also obtained. The prevalence of Type 2 diabetes in rural Mapuche natives was estimated as 3.2% (95% CI: 0.7--9.0) in men and 4.5% (95% CI: 2.2--8.1) in women. The overall prevalence of obesity was 56.1% (95% CI: 50.5--61.6): 40.0% (95% CI: 30.1--40.8) in men and 62.9% (95% CI: 56.3--69.3) in women (P value < 0.001). These data suggest that the prevalence of obesity and Type 2 diabetes has been increasing during recent years in the Mapuche communities. The prevalence estimated in this study is higher than that reported 15 y ago. This suggests an important role of lifestyle changes as a possible explanation for epidemiologic transition.

Metabolic effects of exercise on childhood obesity: a current view

PubMed Central

Paes, Santiago Tavares; Marins, João Carlos Bouzas; Andreazzi, Ana Eliza

2015-01-01

OBJECTIVE: To review the current literature concerning the effects of physical exercise on several metabolic variables related to childhood obesity. DATA SOURCE: A search was performed in Pubmed/MEDLINE and Web of Science databases. The keywords used were as follows: Obesity, Children Obesity, Childhood Obesity, Exercise and Physical Activity. The online search was based on studies published in English, from April 2010 to December 2013. DATA SYNTHESIS: Search queries returned 88,393 studies based on the aforementioned keywords; 4,561 studies were selected by crossing chosen keywords. After applying inclusion criteria, four studies were selected from 182 eligible titles. Most studies found that aerobic and resistance training improves body composition, lipid profile and metabolic and inflammatory status of obese children and adolescents; however, the magnitude of these effects is associated with the type, intensity and duration of practice. CONCLUSIONS: Regardless of the type, physical exercise promotes positive adaptations to childhood obesity, mainly acting to restore cellular and cardiovascular homeostasis, to improve body composition, and to activate metabolism; therefore, physical exercise acts as a co-factor in fighting obesity. PMID:25662015

Antiobesity Pharmacotherapy for Patients with Type 2 Diabetes: Focus on Long-Term Management

PubMed Central

Jeon, Won Seon

2014-01-01

Type 2 diabetes and obesity have a complex relationship; obesity is linked to insulin resistance, the precursor to type 2 diabetes. The management of obesity is an important method to delay onset of diabetes and improve the glycemic durability of antidiabetic agents. However, insulin and some of the oral hypoglycemic agents used to treat diabetes cause significant weight gain, and it is difficult for patients with diabetes to reduce and maintain their weight by life-style changes alone. Thus, antiobesity medications or bariatric surgery may be a necessary adjunct for certain obese patients with diabetes. In 2012, the U.S. Food and Drug Administration (FDA) approved lorcaserin and phentermine/topiramate extended-release for the management of chronic weight, and approval for naltrexone/bupropion sustained-release as an adjunct to exercise and reduced caloric intake followed in 2014. Liraglutide is pending FDA approval for antiobesity drug. Here we review the efficacy of approved and new promising drugs for the management of obesity. PMID:25559569

Gut microbiota and obesity: lessons from the microbiome.

PubMed

Cani, Patrice D

2013-07-01

The distal gut harbours microbial communities that outnumber our own eukaryotic cells. The contribution of the gut microbiota to the development of several diseases (e.g. obesity, type 2 diabetes, steatosis, cardiovascular diseases and inflammatory bowel diseases) is becoming clear, although the causality remains to be proven in humans. Global changes in the gut microbiota have been observed by a number of culture-dependent and culture-independent methods, and while the latter have mostly included 16S ribosomal RNA gene analyses, more recent studies have utilized DNA sequencing of whole-microbial communities. Altogether, these high-throughput methods have facilitated the identification of novel candidate bacteria and, most importantly, metabolic functions that might be associated with obesity and type 2 diabetes. This review discusses the association between specific taxa and obesity, together with the techniques that are used to characterize the gut microbiota in the context of obesity and type 2 diabetes. Recent results are discussed in the framework of the interactions between gut microbiota and host metabolism.

A feasibility study on smartphone accelerometer-based recognition of household activities and influence of smartphone position.

PubMed

Della Mea, Vincenzo; Quattrin, Omar; Parpinel, Maria

2017-12-01

Obesity and physical inactivity are the most important risk factors for chronic diseases. The present study aimed at (i) developing and testing a method for classifying household activities based on a smartphone accelerometer; (ii) evaluating the influence of smartphone position; and (iii) evaluating the acceptability of wearing a smartphone for activity recognition. An Android application was developed to record accelerometer data and calculate descriptive features on 5-second time blocks, then classified with nine algorithms. Household activities were: sitting, working at the computer, walking, ironing, sweeping the floor, going down stairs with a shopping bag, walking while carrying a large box, and climbing stairs with a shopping bag. Ten volunteers carried out the activities for three times, each one with a smartphone in a different position (pocket, arm, and wrist). Users were then asked to answer a questionnaire. 1440 time blocks were collected. Three algorithms demonstrated an accuracy greater than 80% for all smartphone positions. While for some subjects the smartphone was uncomfortable, it seems that it did not really affect activity. Smartphones can be used to recognize household activities. A further development is to measure metabolic equivalent tasks starting from accelerometer data only.

Obesity as an important risk factor for certain types of cancer.

PubMed

Davoodi, Sayed Hossain; Malek-Shahabi, Talieh; Malekshahi-Moghadam, Ali; Shahbazi, Roghieh; Esmaeili, Saeideh

2013-01-01

Cancer could be described as the uncontrolled and unrestricted growth of malignant cells in any place of the body. It is a multifactorial disease which either heredity or environmental factors (such as nutrition, physical inactivity, alcohol, obesity, exposure to sun, environmental pollutants, infections) chip in incidence of cancer. In recent years, several researchers have focused on obesity as a potent cancer risk factor. Scientificevidences have suggested that obesity has associated with increased risk for a plenty of different types of cancer. The evidences are the most consistent for endometrial cancer, breast cancer between the postmenopausal women, and renal cell cancer. More contradictoryresults have reported about the colorectal, prostate, and pancreatic cancer. Although numerous studies have done according to the obesity and cancer relation or joint, but the molecular mechanisms in which obesity could increase the risks of cancer, have been poorly understood.

Using Android and Open Data Kit Technology in Data Management for Research in Resource-Limited Settings in the Niger Delta Region of Nigeria: Cross-Sectional Household Survey

PubMed Central

Maleghemi, Sylvester

2017-01-01

Background Data collection in Sub-Saharan Africa has traditionally been paper-based. However, the popularization of Android mobile devices and data capture software has brought paperless data management within reach. We used Open Data Kit (ODK) technology on Android mobile devices during a household survey in the Niger Delta region of Nigeria. Objective The aim of this study was to describe the pros and cons of deploying ODK for data management. Methods A descriptive cross-sectional household survey was carried out by 6 data collectors between April and May 2016. Data were obtained from 1706 persons in 601 households across 6 communities in 3 states in the Niger Delta. The use of Android mobile devices and ODK technology involved form building, testing, collection, aggregation, and download for data analysis. The median duration for data collection per household and per individual was 25.7 and 9.3 min, respectively. Results Data entries per device ranged from 33 (33/1706, 1.93%) to 482 (482/1706, 28.25%) individuals between 9 (9/601, 1.5%) and 122 (122/601, 20.3%) households. The most entries (470) were made by data collector 5. Only 2 respondents had data entry errors (2/1706, 0.12%). However, 73 (73/601, 12.1%) households had inaccurate date and time entries for when data collection started and ended. The cost of deploying ODK was estimated at US $206.7 in comparison with the estimated cost of US $466.7 for paper-based data management. Conclusions We found the use of mobile data capture technology to be efficient and cost-effective. As Internet services improve in Africa, we advocate their use as effective tools for health information management. PMID:29191798

Medical applications: a database and characterization of apps in Apple iOS and Android platforms.

PubMed

Seabrook, Heather J; Stromer, Julie N; Shevkenek, Cole; Bharwani, Aleem; de Grood, Jill; Ghali, William A

2014-08-27

Medical applications (apps) for smart phones and tablet computers are growing in number and are commonly used in healthcare. In this context, there is a need for a diverse community of app users, medical researchers, and app developers to better understand the app landscape. In mid-2012, we undertook an environmental scan and classification of the medical app landscape in the two dominant platforms by searching the medical category of the Apple iTunes and Google Play app download sites. We identified target audiences, functions, costs and content themes using app descriptions and captured these data in a database. We only included apps released or updated between October 1, 2011 and May 31, 2012, with a primary "medical" app store categorization, in English, that contained health or medical content. Our sample of Android apps was limited to the most popular apps in the medical category. Our final sample of Apple iOS (n = 4561) and Android (n = 293) apps illustrate a diverse medical app landscape. The proportion of Apple iOS apps for the public (35%) and for physicians (36%) is similar. Few Apple iOS apps specifically target nurses (3%). Within the Android apps, those targeting the public dominated in our sample (51%). The distribution of app functions is similar in both platforms with reference being the most common function. Most app functions and content themes vary considerably by target audience. Social media apps are more common for patients and the public, while conference apps target physicians. We characterized existing medical apps and illustrated their diversity in terms of target audience, main functions, cost and healthcare topic. The resulting app database is a resource for app users, app developers and health informatics researchers.

Development of Portable Automatic Number Plate Recognition System on Android Mobile Phone

NASA Astrophysics Data System (ADS)

Mutholib, Abdul; Gunawan, Teddy S.; Chebil, Jalel; Kartiwi, Mira

2013-12-01

The Automatic Number Plate Recognition (ANPR) System has performed as the main role in various access control and security, such as: tracking of stolen vehicles, traffic violations (speed trap) and parking management system. In this paper, the portable ANPR implemented on android mobile phone is presented. The main challenges in mobile application are including higher coding efficiency, reduced computational complexity, and improved flexibility. Significance efforts are being explored to find suitable and adaptive algorithm for implementation of ANPR on mobile phone. ANPR system for mobile phone need to be optimize due to its limited CPU and memory resources, its ability for geo-tagging image captured using GPS coordinates and its ability to access online database to store the vehicle's information. In this paper, the design of portable ANPR on android mobile phone will be described as follows. First, the graphical user interface (GUI) for capturing image using built-in camera was developed to acquire vehicle plate number in Malaysia. Second, the preprocessing of raw image was done using contrast enhancement. Next, character segmentation using fixed pitch and an optical character recognition (OCR) using neural network were utilized to extract texts and numbers. Both character segmentation and OCR were using Tesseract library from Google Inc. The proposed portable ANPR algorithm was implemented and simulated using Android SDK on a computer. Based on the experimental results, the proposed system can effectively recognize the license plate number at 90.86%. The required processing time to recognize a license plate is only 2 seconds on average. The result is consider good in comparison with the results obtained from previous system that was processed in a desktop PC with the range of result from 91.59% to 98% recognition rate and 0.284 second to 1.5 seconds recognition time.

Open Source Dataturbine (OSDT) Android Sensorpod in Environmental Observing Systems

NASA Astrophysics Data System (ADS)

Fountain, T. R.; Shin, P.; Tilak, S.; Trinh, T.; Smith, J.; Kram, S.

2014-12-01

The OSDT Android SensorPod is a custom-designed mobile computing platform for assembling wireless sensor networks for environmental monitoring applications. Funded by an award from the Gordon and Betty Moore Foundation, the OSDT SensorPod represents a significant technological advance in the application of mobile and cloud computing technologies to near-real-time applications in environmental science, natural resources management, and disaster response and recovery. It provides a modular architecture based on open standards and open-source software that allows system developers to align their projects with industry best practices and technology trends, while avoiding commercial vendor lock-in to expensive proprietary software and hardware systems. The integration of mobile and cloud-computing infrastructure represents a disruptive technology in the field of environmental science, since basic assumptions about technology requirements are now open to revision, e.g., the roles of special purpose data loggers and dedicated site infrastructure. The OSDT Android SensorPod was designed with these considerations in mind, and the resulting system exhibits the following characteristics - it is flexible, efficient and robust. The system was developed and tested in the three science applications: 1) a fresh water limnology deployment in Wisconsin, 2) a near coastal marine science deployment at the UCSD Scripps Pier, and 3) a terrestrial ecological deployment in the mountains of Taiwan. As part of a public education and outreach effort, a Facebook page with daily ocean pH measurements from the UCSD Scripps pier was developed. Wireless sensor networks and the virtualization of data and network services is the future of environmental science infrastructure. The OSDT Android SensorPod was designed and developed to harness these new technology developments for environmental monitoring applications.

The role of body mass index, insulin, and adiponectin in the relation between fat distribution and bone mineral density.

PubMed

Zillikens, M Carola; Uitterlinden, André G; van Leeuwen, Johannes P T M; Berends, Anne L; Henneman, Peter; van Dijk, Ko Willems; Oostra, Ben A; van Duijn, Cornelia M; Pols, Huibert A P; Rivadeneira, Fernando

2010-02-01

Despite the positive association between body mass index (BMI) and bone mineral density (BMD) and content (BMC), the role of fat distribution in BMD/BMC remains unclear. We examined relationships between BMD/BMC and various measurements of fat distribution and studied the role of BMI, insulin, and adiponectin in these relations. Using a cross-sectional investigation of 2631 participants from the Erasmus Rucphen Family study, we studied associations between BMD (using dual-energy X-ray absorptiometry (DXA]) at the hip, lumbar spine, total body (BMD and BMC), and fat distribution by the waist-to-hip ratio (WHR), waist-to-thigh ratio (WTR), and DXA-based trunk-to-leg fat ratio and android-to-gynoid fat ratio. Analyses were stratified by gender and median age (48.0 years in women and 49.2 years in men) and were performed with and without adjustment for BMI, fasting insulin, and adiponectin. Using linear regression (adjusting for age, height, smoking, and use of alcohol), most relationships between fat distribution and BMD and BMC were positive, except for WTR. After BMI adjustment, most correlations were negative except for trunk-to-leg fat ratio in both genders. No consistent influence of age or menopausal status was found. Insulin and adiponectin levels did not explain either positive or negative associations. In conclusion, positive associations between android fat distribution and BMD/BMC are explained by higher BMI but not by higher insulin and/or lower adiponectin levels. Inverse associations after adjustment for BMI suggest that android fat deposition as measured by the WHR, WTR, and DXA-based android-to-gynoid fat ratio is not beneficial and possibly even deleterious for bone.

Polymorphism of the Transcription Factor 7-Like 2 Gene (TCF7L2) Interacts with Obesity on Type-2 Diabetes in the PREDIMED Study Emphasizing the Heterogeneity of Genetic Variants in Type-2 Diabetes Risk Prediction: Time for Obesity-Specific Genetic Risk Scores.

PubMed

Corella, Dolores; Coltell, Oscar; Sorlí, Jose V; Estruch, Ramón; Quiles, Laura; Martínez-González, Miguel Ángel; Salas-Salvadó, Jordi; Castañer, Olga; Arós, Fernando; Ortega-Calvo, Manuel; Serra-Majem, Lluís; Gómez-Gracia, Enrique; Portolés, Olga; Fiol, Miquel; Díez Espino, Javier; Basora, Josep; Fitó, Montserrat; Ros, Emilio; Ordovás, José M

2016-12-06

Nutrigenetic studies analyzing gene-diet interactions of the TCF7L2-rs7903146 C > T polymorphism on type-2 diabetes (T2D) have shown controversial results. A reason contributing to this may be the additional modulation by obesity. Moreover, TCF7L2-rs7903146 is one of the most influential variants in T2D-genetic risk scores (GRS). Therefore, to increase the predictive value (PV) of GRS it is necessary to first see whether the included polymorphisms have heterogeneous effects. We comprehensively investigated gene-obesity interactions between the TCF7L2-rs7903146 C > T polymorphism on T2D (prevalence and incidence) and analyzed other T2D-polymorphisms in a sub-sample. We studied 7018 PREDIMED participants at baseline and longitudinally (8.7 years maximum follow-up). Obesity significantly interacted with the TCF7L2-rs7903146 on T2D prevalence, associations being greater in non-obese subjects. Accordingly, we prospectively observed in non-T2D subjects ( n = 3607) that its association with T2D incidence was stronger in non-obese (HR: 1.81; 95% CI: 1.13-2.92, p = 0.013 for TT versus CC) than in obese subjects (HR: 1.01; 95% CI: 0.61-1.66; p = 0.979; p -interaction = 0.048). Accordingly, TCF7L2-PV was higher in non-obese subjects. Additionally, we created obesity-specific GRS with ten T2D-polymorphisms and demonstrated for the first time their higher strata-specific PV. In conclusion, we provide strong evidence supporting the need for considering obesity when analyzing the TCF7L2 effects and propose the use of obesity-specific GRS for T2D.

The associations between chronotype, a healthy diet and obesity.

PubMed

Maukonen, Mirkka; Kanerva, Noora; Partonen, Timo; Kronholm, Erkki; Konttinen, Hanna; Wennman, Heini; Männistö, Satu

2016-01-01

Unhealthy diet has been associated with obesity. Evening type has been associated with unhealthier food and nutrient intake that could predict a higher risk of obesity among them as compared to morning type. However, thus far no study has examined the interrelationships between chronotype, a healthy diet and obesity. We examined whether a healthy diet mediates the association between chronotype and obesity and whether chronotype modifies the association between a healthy and obesity. The National FINRISK 2007 Study included 4421 subjects aged 25-74 years. Diet was assessed using a validated food frequency questionnaire. Baltic Sea diet score (BSDS), including nine dietary components, was used as a measure of adherence to a healthy Nordic diet. Weight, height, body fat percentage and waist circumference were measured, and body mass index values were calculated. Chronotype was assessed using a shortened version of Horne and Östberg's morningness-eveningness questionnaire (MEQ). The sum score calculated from MEQ was either used as a continuous variable or divided into tertiles of which the lowest tertile demonstrated evening preference and the highest tertile demonstrated morning preference. A series of regression analyses were conducted to determine whether the BSDS mediates the association between chronotype and obesity. Likelihood ratio test was used to determine whether chronotype modifies the association between the BSDS and the obesity measures. After testing the interaction, chronotype-stratified analysis for the association between the BSDS and obesity measures was determined by linear regression. Generally, the evening types had lower adherence to the BSDS and were more often smokers (men), physically inactive and had lower perceived health than the other chronotypes (p < 0.05). The poorer health behavior of this group, however, was not manifested in their obesity measures, and no evidence that the BSDS would mediate the association between chronotype and obesity was found (p > 0.05). No evidence that chronotype would modify the association between the BSDS and obesity was found either (p > 0.05).

Physical activity reduces the risk of incident type 2 diabetes in general and in abdominally lean and obese men and women: the EPIC-InterAct Study.

PubMed

Ekelund, U; Palla, L; Brage, S; Franks, P W; Peters, T; Balkau, B; Diaz, M J T; Huerta, J M; Agnoli, C; Arriola, L; Ardanaz, E; Boeing, H; Clavel-Chapelon, F; Crowe, F; Fagherazzi, G; Groop, L; Føns Johnsen, N; Kaaks, R; Khaw, K T; Key, T J; de Lauzon-Guillain, B; May, A; Monninkhof, E; Navarro, C; Nilsson, P; Nautrup Østergaard, J; Norat, T; Overvad, K; Palli, D; Panico, S; Redondo, M L; Ricceri, F; Rolandsson, O; Romaguera, D; Romieu, I; Sánchez Pérez, M J; Slimani, N; Spijkerman, A; Teucher, B; Tjonneland, A; Travier, N; Tumino, R; Vos, W; Vigl, M; Sharp, S; Langeberg, C; Forouhi, N; Riboli, E; Feskens, E; Wareham, N J

2012-07-01

We examined the independent and combined associations of physical activity and obesity with incident type 2 diabetes in men and women. The InterAct case-cohort study consists of 12,403 incident type 2 diabetes cases and a randomly selected subcohort of 16,154 individuals, drawn from a total cohort of 340,234 participants with 3.99 million person-years of follow-up. Physical activity was assessed by a four-category index. Obesity was measured by BMI and waist circumference (WC). Associations between physical activity, obesity and case-ascertained incident type 2 diabetes were analysed by Cox regression after adjusting for educational level, smoking status, alcohol consumption and energy intake. In combined analyses, individuals were stratified according to physical activity level, BMI and WC. A one-category difference in physical activity (equivalent to approximately 460 and 365 kJ/day in men and women, respectively) was independently associated with a 13% (HR 0.87, 95% CI 0.80, 0.94) and 7% (HR 0.93, 95% CI 0.89, 0.98) relative reduction in the risk of type 2 diabetes in men and women, respectively. Lower levels of physical activity were associated with an increased risk of diabetes across all strata of BMI. Comparing inactive with active individuals, the HRs were 1.44 (95% CI 1.11, 1.87) and 1.38 (95% CI 1.17, 1.62) in abdominally lean and obese inactive men, respectively, and 1.57 (95% CI 1.19, 2.07) and 1.19 (95% CI 1.01, 1.39) in abdominally lean and obese inactive women, respectively. Physical activity is associated with a reduction in the risk of developing type 2 diabetes across BMI categories in men and women, as well as in abdominally lean and obese men and women.

Body adiposity and type 2 diabetes: increased risk with a high body fat percentage even having a normal BMI.

PubMed

Gómez-Ambrosi, Javier; Silva, Camilo; Galofré, Juan C; Escalada, Javier; Santos, Silvia; Gil, María J; Valentí, Victor; Rotellar, Fernando; Ramírez, Beatriz; Salvador, Javier; Frühbeck, Gema

2011-07-01

Obesity is the major risk factor for the development of prediabetes and type 2 diabetes. BMI is widely used as a surrogate measure of obesity, but underestimates the prevalence of obesity, defined as an excess of body fat. We assessed the presence of impaired glucose tolerance or impaired fasting glucose (both considered together as prediabetes) or type 2 diabetes in relation to the criteria used for the diagnosis of obesity using BMI as compared to body fat percentage (BF%). We performed a cross-sectional study including 4,828 (587 lean, 1,320 overweight, and 2,921 obese classified according to BMI) white subjects (66% females), aged 18-80 years. BMI, BF% determined by air-displacement plethysmography (ADP) and conventional blood markers of glucose metabolism and lipid profile were measured. We found a higher than expected number of subjects with prediabetes or type 2 diabetes in the obese category according to BF% when the sample was globally analyzed (P < 0.0001) and in the lean BMI-classified subjects (P < 0.0001), but not in the overweight or obese-classified individuals. Importantly, BF% was significantly higher in lean (by BMI) women with prediabetes or type 2 diabetes as compared to those with normoglycemia (NG) (35.5 ± 7.0 vs. 30.3 ± 7.7%, P < 0.0001), whereas no differences were observed for BMI. Similarly, increased BF% was found in lean BMI-classified men with prediabetes or type 2 diabetes (25.2 ± 9.0 vs. 19.9 ± 8.0%, P = 0.008), exhibiting no differences in BMI or waist circumference. In conclusion, assessing BF% may help to diagnose disturbed glucose tolerance beyond information provided by BMI and waist circumference in particular in male subjects with BMI <25 kg/m(2) and over the age of 40.

Serum Progranulin Concentrations May Be Associated With Macrophage Infiltration Into Omental Adipose Tissue

PubMed Central

Youn, Byung-Soo; Bang, Sa-Ik; Klöting, Nora; Park, Ji Woo; Lee, Namseok; Oh, Ji-Eun; Pi, Kyung-Bae; Lee, Tae Hee; Ruschke, Karen; Fasshauer, Mathias; Stumvoll, Michael; Blüher, Matthias

2009-01-01

OBJECTIVE—Progranulin is an important molecule in inflammatory response. Chronic inflammation is frequently associated with central obesity and associated disturbances; however, the role of circulating progranulin in human obesity, type 2 diabetes, and dyslipidemia is unknown. RESEARCH DESIGN AND METHODS—For the measurement of progranulin serum concentrations, we developed an enzyme-linked immunosorbent assay (ELISA). Using this ELISA, we assessed circulating progranulin in a cross-sectional study of 209 subjects with a wide range of obesity, body fat distribution, insulin sensitivity, and glucose tolerance and in 60 individuals with normal (NGT) or impaired (IGT) glucose tolerance or type 2 diabetes before and after a 4-week physical training program. Progranulin mRNA and protein expression was measured in paired samples of omental and subcutaneous adipose tissue (adipocytes and cells of the stromal vascular fraction) from 55 lean or obese individuals. Measurement of Erk activation and chemotactic activity induced by progranulin in vitro was performed using THP-1–based cell migration assays. RESULTS—Progranulin serum concentrations were significantly higher in individuals with type 2 diabetes compared with NGT and in obese subjects with predominant visceral fat accumulation. Circulating progranulin significantly correlates with BMI, macrophage infiltration in omental adipose tissue, C-reactive protein (CRP) serum concentrations, A1C values, and total cholesterol. Multivariable linear regression analyses revealed CRP levels as the strongest independent predictor of circulating progranulin. The extent of in vitro progranulin-mediated chemotaxis is similar to that of monocyte chemoattractant protein-1 but independent of Gα. Moreover, in type 2 diabetes, but not in IGT and NGT individuals, physical training for 4 weeks resulted in significantly decreased circulating progranulin levels. CONCLUSIONS—Elevated progranulin serum concentrations are associated with visceral obesity, elevated plasma glucose, and dyslipidemia. We identified progranulin as a novel marker of chronic inflammation in obesity and type 2 diabetes that closely reflects omental adipose tissue macrophage infiltration. Physical training significantly reduces elevated circulating progranulin in patients with type 2 diabetes. PMID:19056610

Genetic & epigenetic approach to human obesity

PubMed Central

Rao, K. Rajender; Lal, Nirupama; Giridharan, N.V.

2014-01-01

Obesity is an important clinical and public health challenge, epitomized by excess adipose tissue accumulation resulting from an imbalance in energy intake and energy expenditure. It is a forerunner for a variety of other diseases such as type-2-diabetes (T2D), cardiovascular diseases, some types of cancer, stroke, hyperlipidaemia and can be fatal leading to premature death. Obesity is highly heritable and arises from the interplay of multiple genes and environmental factors. Recent advancements in Genome-wide association studies (GWAS) have shown important steps towards identifying genetic risks and identification of genetic markers for lifestyle diseases, especially for a metabolic disorder like obesity. According to the 12th Update of Human Obesity Gene Map there are 253 quantity trait loci (QTL) for obesity related phenotypes from 61 genome wide scan studies. Contribution of genetic propensity of individual ethnic and racial variations in obesity is an active area of research. Further, understanding its complexity as to how these variations could influence ones susceptibility to become or remain obese will lead us to a greater understanding of how obesity occurs and hopefully, how to prevent and treat this condition. In this review, various strategies adapted for such an analysis based on the recent advances in genome wide and functional variations in human obesity are discussed. PMID:25579139

Fasting and post-prandial adipose tissue lipoprotein lipase and hormone-sensitive lipase in obesity and type 2 diabetes.

PubMed

Costabile, G; Annuzzi, G; Di Marino, L; De Natale, C; Giacco, R; Bozzetto, L; Cipriano, P; Santangelo, C; Masella, R; Rivellese, A A

2011-05-01

Fasting and post-prandial abnormalities of adipose tissue (AT) lipoprotein lipase (LPL) and hormone- sensitive lipase (HSL) activities may have pathophysiological relevance in insulin-resistant conditions. The aim of this study was to evaluate activity and gene expression of AT LPL and HSL at fasting and 6 h after meal in two insulin-resistant groups - obese with Type 2 diabetes and obese without diabetes - and in non-diabetic normal-weight controls. Nine obese subjects with diabetes, 10 with obesity alone, and 9 controls underwent measurements of plasma levels of glucose, insulin, and triglycerides before and after a standard fat-rich meal. Fasting and post-prandial (6 h) LPL and HSL activities and gene expressions were determined in abdominal subcutaneous AT needle biopsies. The diabetic obese subjects had significantly lower fasting and post-prandial AT heparin-releasable LPL activity than only obese and control subjects (p<0.05) as well as lower mRNA LPL levels. HSL activity was significantly reduced in the 2 groups of obese subjects compared to controls in both fasting condition and 6 h after the meal (p<0.05), while HSL mRNA levels were not different. There were no significant changes between fasting and 6 h after meal measurements in either LPL or HSL activities and gene expressions. Lipolytic activities in AT are differently altered in obesity and Type 2 diabetes being HSL alteration associated with both insulin-resistant conditions and LPL with diabetes per se. These abnormalities are similarly observed in the fasting condition and after a fat-rich meal.

[History and development trend of minimally invasive surgical treatment for obesity and diabetes in China].

PubMed

Ding, Dan; Zheng, Chengzhu

2016-08-25

Obesity and type 2 diabetes mellitus have already become one of the most serious society-facing problems. Since the first report in the 1950s, gastrointestinal surgery has greatly developed as the golden standard in obesity treatment. With the convincing research and evidence, it is found that gastrointestinal surgery not only can cause weight loss, but can relieve, even cure many metabolic diseases associated with obesity, especially for type 2 diabetes mellitus. The operational manners, including adjustable gastric banding, Roux-en-Y gastric bypass, mini gastric bypass, sleeve gastrectomy, etc., are proved to be safe and effective in treating obesity and type 2 diabetes mellitus, and all of these operations can be performed with laparoscopy. Currently, gastrointestinal surgeons are focusing on the operation treatment for type 2 diabetes mellitus, and more and more gastrointestinal operations are applied in many medical centers in China. However, there are a lot of details that need to be standardized. It is believed, with the evolution of surgical technique, standardization of diagnosis and treatment, and breakthrough in the basic research, the metabolic surgery will get more development in the future.

Understanding the Impact of Socio-Economic Factors on Navy Accessions

DTIC Science & Technology

2015-09-01

concern for the future of our military force. With an increase in childhood obesity rates and decrease in the level of inactivity, Type 2 Diabetes...the course of our literature review, it was noted in a number of studies and articles on recruiting for military service, that obesity was a growing...Lee, 2007). With the increase in the proportions of obese adolescents and those with Type 2 diabetes, a disease disqualifying for military service

Retinal vessel response to flicker light in children and adolescents with type 1 diabetes mellitus and overweight or obesity.

PubMed

Schiel, Ralf; Vilser, Walthard; Kovar, Felix; Kramer, Guido; Braun, Anke; Stein, Günter

2009-03-01

It was the goal of the trial to assess cardiovascular risk factors in children and adolescents with type 1 diabetes mellitus or overweight/obesity. All children and adolescents (n=77 [n=45 patients with diabetes mellitus, n=32 patients with overweight/obesity]) admitted to our hospital during the period from 01/07 to 31/08/2006 were included in the trial. Socio-demographic and laboratory data (age, sex, diabetes duration, BMI, BMI-SDS, HbA1c, fasting blood glucose, oGTT in patients with overweight/obesity, lipids, CRP, TSH, creatinine, and microalbuminuria) were assessed. The diameter of a retinal arterial and a venous segment was measured continuously on-line with a Dynamic Vessel Analyzer, carotid intima-media thickness (IMT) was measured, and 24-h-blood pressure monitoring was applied. Flicker light stimulation induces a comparable arterial dilatation in patients with type 1 diabetes and overweight/obesity. Univariate ANOVA in patients with type 1 diabetes shows an influence of diastolic blood pressure on arterial dilatation. Other factors such as BMI, age, diabetes duration, smoking, sex, HbA1c and insulin dose/kg had no effect. In children and adolescents with diabetes or overweight/obesity retinal vascular alterations seem to be more sensitive and already present before the occurrence of classic cardiovascular markers.

RLIP76 Protein Knockdown Attenuates Obesity Due to a High-fat Diet*

PubMed Central

Singhal, Sharad S.; Figarola, James; Singhal, Jyotsana; Reddy, Marpadga A.; Liu, Xueli; Berz, David; Natarajan, Rama; Awasthi, Sanjay

2013-01-01

Feeding a Western high-fat diet (HFD) to C57BL/6 mice induces obesity, associated with a chronic inflammatory state, lipid transport, and metabolic derangements, and organ system effects that particularly prominent in the kidneys. Here, we report that RLIP76 homozygous knock-out (RLIP76−/−) mice are highly resistant to obesity as well as these other features of metabolic syndrome caused by HFD. The normal increase in pro-inflammatory and fibrotic markers associated with HFD induced obesity in wild-type C57B mice was broadly and nearly completely abrogated in RLIP76−/− mice. This is a particularly striking finding because chemical markers of oxidative stress including lipid hydroperoxides and alkenals were significantly higher in RLIP76−/− mice. Whereas HFD caused marked suppression of AMPK in wild-type C57B mice, RLIP76−/− mice had baseline activation of AMP-activated protein kinase, which was not further affected by HFD. The baseline renal function was reduced in RLIP76−/− mice as compared with wild-type, but was unaffected by HFD, in marked contrast to severe renal impairment and glomerulopathy in the wild-type mice given HFD. Our findings confirm a fundamental role of RLIP76 in regulating the function of obesity-promoting pro-inflammatory cytokines, and provide a novel mechanism for targeted therapy of obesity and metabolic syndrome. PMID:23821548

Dyslipidemia, Hypertension and Diabetes Metaflammation. A Unique Mechanism for 3 Risk Factors.

PubMed

Morales-Villegas, E

2014-07-01

The main current threat to the human race is the correlation and synergy between two determining triumvirates of atherosclerosis, cardiovascular disease and death. The first triumvirate is constituted by obesity, metaflammation and insulin resistance; the second triumvirate is constituted by atherogenic dyslipidemia, hypertension and type 2 diabetes mellitus. The etiopathogenic driving force for both triumvirates is the global epidemic of obesity. Metaflammation and insulin resistance are associated with obesity; in turn, insulin resistance determines a high risk for the development of atherogenic dyslipidemia, hypertension and type 2 diabetes mellitus, the three of them being factors responsible for vascular endothelial injury and substrates involved in the genesis of atherosclerosis, cardiovascular disease and death. The present chapter will address both triumvirates. Firstly, the current concepts of obesity, metaflammation and insulin resistance will be reviewed; emphasizing the second (metaflammation) for being a concept that has revolutionized and integrated our understanding of the harmful effects of obesity. Secondly, the impact of insulin resistance in the regulation of intermediary metabolism and endothelial function will be addressed; this will facilitate the understanding of the inextricable link between atherogenic dyslipidemia, hypertension and type 2 diabetes mellitus. Thus, this chapter aims to present to the clinician the best knowledge to link epidemics of obesity and cardiovascular death, through the sequence of metaflammation, insulin resistance and cardiovascular risk factors (mixed dyslipidemia, hypertension and type 2 diabetes mellitus).

Endocrine system and obesity.

PubMed

Ashburn, Doyle D; Reed, Mary Jane

2010-10-01

Obesity is associated with significant alterations in endocrine function. An association with type 2 diabetes mellitus and dyslipidemia has been well documented. This article highlights the complexities of treating endocrine system disorders in obese patients. Copyright © 2010. Published by Elsevier Inc.

Microbiota-induced obesity requires farnesoid X receptor.

PubMed

Parséus, Ava; Sommer, Nina; Sommer, Felix; Caesar, Robert; Molinaro, Antonio; Ståhlman, Marcus; Greiner, Thomas U; Perkins, Rosie; Bäckhed, Fredrik

2017-03-01

The gut microbiota has been implicated as an environmental factor that modulates obesity, and recent evidence suggests that microbiota-mediated changes in bile acid profiles and signalling through the bile acid nuclear receptor farnesoid X receptor (FXR) contribute to impaired host metabolism. Here we investigated if the gut microbiota modulates obesity and associated phenotypes through FXR. We fed germ-free (GF) and conventionally raised (CONV-R) wild-type and Fxr-/- mice a high-fat diet (HFD) for 10 weeks. We monitored weight gain and glucose metabolism and analysed the gut microbiota and bile acid composition, beta-cell mass, accumulation of macrophages in adipose tissue, liver steatosis, and expression of target genes in adipose tissue and liver. We also transferred the microbiota of wild-type and Fxr -deficient mice to GF wild-type mice. The gut microbiota promoted weight gain and hepatic steatosis in an FXR-dependent manner, and the bile acid profiles and composition of faecal microbiota differed between Fxr-/- and wild-type mice. The obese phenotype in colonised wild-type mice was associated with increased beta-cell mass, increased adipose inflammation, increased steatosis and expression of genes involved in lipid uptake. By transferring the caecal microbiota from HFD-fed Fxr-/- and wild-type mice into GF mice, we showed that the obesity phenotype was transferable. Our results indicate that the gut microbiota promotes diet-induced obesity and associated phenotypes through FXR, and that FXR may contribute to increased adiposity by altering the microbiota composition. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

California Wellness Study: American Indians and Obesity

PubMed Central

Hodge, Felicia Schanche; Kotkin-Jaszi, Suzanne T.

2011-01-01

This paper identifies the prevalence and predictors of obesity among California’s American Indian adults. A cross-sectional study was conducted at 13 rural sites. Indian healthcare clinics served as the sampling frame and were selected because of their proximity and access to the target population. Four-hundred and fifty adult American Indians participated; 74 percent were female and 26 percent were male. The average age was 40, ranging from 18–74. Measures included socio-demographics, general health, BMI, type 2 diabetes, exercise and dietary habits. Eighty-two percent were overweight, obese or morbidly obese. Chi-square tests revealed three variables significantly associated with BMI categories: having type 2 diabetes, female gender and poor general health status. A logistic regression model for obese/morbidly obese (BMI > 30) versus overweight/normal (BMI < 30) persons found gender and diabetes status as significant predictors, while general health status showed trend. Females had 1.59 greater odds of being obese than males (p=0.04). Those that do not have diabetes are less likely to be obese (p=0.02). Those that do not have good general health were 2.5 times more likely to be obese than those that have good general health (p=0.06). Overall goodness of fit was significant (p=0.0009). It is important to identify individuals and population who are normal/overweight, obese/morbidly obese so support and interventions can be planned and implemented. PMID:21625381

A graduated food addiction classification approach significantly differentiates obesity among people with type 2 diabetes.

PubMed

Raymond, Karren-Lee; Kannis-Dymand, Lee; Lovell, Geoff P

2016-10-01

This study examined a graduated severity level approach to food addiction classification against associations with World Health Organization obesity classifications (body mass index, kg/m 2 ) among 408 people with type 2 diabetes. A survey including the Yale Food Addiction Scale and several demographic questions demonstrated four distinct Yale Food Addiction Scale symptom severity groups (in line with Diagnostic and Statistical Manual of Mental Disorders (5th ed.) severity indicators): non-food addiction, mild food addiction, moderate food addiction and severe food addiction. Analysis of variance with post hoc tests demonstrated each severity classification group was significantly different in body mass index, with each grouping being associated with increased World Health Organization obesity classifications. These findings have implications for diagnosing food addiction and implementing treatment and prevention methodologies of obesity among people with type 2 diabetes.

Association of food environment and food retailers with obesity in US adults.

PubMed

Yan, Renfei; Bastian, Nathaniel D; Griffin, Paul M

2015-05-01

The food environment has been shown to be a factor affecting the obesity rate. We studied the association of density of food retailer type with obesity rate in U.S. adults in local regions controlling for socioeconomic factors. Parametric nonlinear regression was used on publically available data (year=2009) at the county level. We used the results of this association to estimate the impact of the addition of a new food retailer type in a geographic region. Obesity rate increased in supercenters (0.25-0.28%) and convenience stores (0.05%) and decreased in grocery stores (0.08%) and specialized food stores (0.27-0.36%). The marginal measures estimated in this work could be useful in identifying regions where interventions based on food retailer type would be most effective. Copyright © 2015 Elsevier Ltd. All rights reserved.

The Effect of 12-Week Passive Aquatic Bodywork on Sympathovagal Balance of Obese Youth

ERIC Educational Resources Information Center

Tufekcioglu, Ertan; Erzeybek, Mustafa Sait; Kaya, Fatih; Ozan, Goksel

2018-01-01

Background: Obesity has been identified as a global epidemic that is associated with numerous comorbidities such as type 2 diabetes, hypertension, cancer, cardiovascular disease. We have investigated the effects of Watsu® therapy and Immersion on HRV parameters of obese male subjects. Methods and Results: Volunteer 34 obese subjects with BMI above…

AAHD's Health Promotion and Wellness: Part 1--Obesity and Disability

ERIC Educational Resources Information Center

Exceptional Parent, 2011

2011-01-01

Obesity increases the risk of many health conditions, including heart disease, type 2 diabetes, cancers, high blood pressure, lipid disorders, stroke and more. While obesity affects more than one third of all adult Americans, people with disabilities are more likely to be overweight or obese and often have fewer tools for controlling weight at…

A proteomic approach to obesity and type 2 diabetes.

PubMed

López-Villar, Elena; Martos-Moreno, Gabriel Á; Chowen, Julie A; Okada, Shigeru; Kopchick, John J; Argente, Jesús

2015-07-01

The incidence of obesity and type diabetes 2 has increased dramatically resulting in an increased interest in its biomedical relevance. However, the mechanisms that trigger the development of diabetes type 2 in obese patients remain largely unknown. Scientific, clinical and pharmaceutical communities are dedicating vast resources to unravel this issue by applying different omics tools. During the last decade, the advances in proteomic approaches and the Human Proteome Organization have opened and are opening a new door that may be helpful in the identification of patients at risk and to improve current therapies. Here, we briefly review some of the advances in our understanding of type 2 diabetes that have occurred through the application of proteomics. We also review, in detail, the current improvements in proteomic methodologies and new strategies that could be employed to further advance our understanding of this pathology. By applying these new proteomic advances, novel therapeutic and/or diagnostic protein targets will be discovered in the obesity/Type 2 diabetes area. © 2015 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine.

Obese adolescents with type 2 diabetes perform worse than controls on cognitive and behavioral assessments.

PubMed

Brady, Cassandra C; Vannest, Jennifer J; Dolan, Lawrence M; Kadis, Darren S; Lee, Gregory R; Holland, Scott K; Khoury, Jane C; Shah, Amy S

2017-06-01

Children with type 1 diabetes demonstrate worse cognitive performance compared with their peers. Little is known regarding the cognitive and behavioral performance in obese adolescents with type 2 diabetes. Cross sectional evaluation of 20 obese adolescents with type 2 diabetes and 20 healthy adolescents was performed in Cincinnati, Ohio. Cognitive tests that included measures of processing speed, working memory, verbal and semantic fluency and parent reports of executive function and problem behavior were compared. Academic achievement and the relationship between cognitive/behavioral scores and diabetes duration and diabetes control (hemoglobin A1c) were assessed in the type 2 diabetes group only. The type 2 diabetes group had mean duration of diabetes of 2.8 ± 2.2 yr and hemoglobin A1c of 7.9 ± 2.2%. Adolescents with type 2 diabetes scored lower than controls on tests of working and verbal memory and processing speed (all p < 0.05) and worse for Internalizing, Externalizing, and Total Problems behaviors on the Child Behavior Checklist (all p < 0.05). Adolescents with type 2 diabetes scored below the population mean in academic achievement, most notably calculation. Working memory and processing speed were negatively correlated with duration of diabetes (r = -0.50 and -0.47, respectively, p < 0.05). Obese youth with type 2 diabetes score poorly compared with controls on multiple assessments of cognitive function and adaptive behavior. Further work is needed to determine if these effects are driven by obesity, diabetes or other demographic and socioeconomic risk factors. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Management of obesity in patients with type 2 diabetes mellitus in primary care.

PubMed

Mohammad, Shoaib; Ahmad, Jamal

2016-01-01

Obesity and being overweight is the most powerful risk factor accounting for 80-90% of patients with type 2 diabetes mellitus (T2DM). The epidemic of obesity is driving the diabetes epidemic to alarming levels and primary care is becoming an important setting for obesity management in T2DM in India. Yet many primary care providers feel ill-equipped or inadequately supported to address obesity in patients with diabetes. This article reviews the most recent and strongest evidence-based strategies that may aid physicians in management of obesity in patients with T2DM in primary care. A systematic literature search of MEDLINE using the search terms Obesity, Obesity in T2DM, weight loss and Primary Care was conducted. The American Diabetes Association, National Institute for Health, National Institute of Health and Excellence (NICE), Scottish Intercollegiate Guidelines Network (SIGN) and World Health Organization websites were also searched. Most studies in this area are observational in design with few randomized controlled trials (RCTs). Articles and studies involving meta-analysis or RCTs were preferred over other types. Effective weight management treatment in T2DM patient can be implemented in the primary care setting. Evidence based individualized lifestyle and pharmacologic measures supported by behavioral intervention and counseling with appropriate and informed surgical referrals has the potential to improve the success of weight management within primary care. Copyright © 2016 Diabetes India. Published by Elsevier Ltd. All rights reserved.

Comparison of Different Physical Activity Measurement Methods in Adults Aged 45 to 64 Years Under Free-Living Conditions.

PubMed

Lipert, Anna; Jegier, Anna

2017-07-01

To compare physical activity (PA) measured by 4 methods in adults under free-living conditions in relation to selected demographic and anthropometric variables. Cohort study. Department of Sports Medicine. Clinically healthy men (81) and women (69) aged 45 to 64 years. Physical activity monitoring for 7 consecutive days under free-living conditions by pedometer (P) and accelerometer (A) simultaneously and PA questionnaires: International Physical Activity Questionnaire (IPAQ) and Seven-Day Physical Activity Questionnaire Recall (SDPAR) completed after the 7-day PA. Comparison of PA measured by pedometer, IPAQ, and SDPAR with accelerometer with regard to age, body mass, gender, and obesity type. Total energy expenditure (EE) by IPAQ was higher than A (P < 0.001) in both groups regardless of age, body mass, or obesity type. Mean EE value by P was greater than A (P < 0.001) in central-obesity males and lower than A (P < 0.001) in central-obesity females. There were differences in step counts in women, unnoticed in men. SDPAR overestimated total EE in gynoid-obesity males and in central-obesity females compared with A. Ninety-five percent CI was the largest around IPAQ compared with P and SDPAR, with SDPAR showing the best agreement with A. Body mass and obesity type influenced PA measurements. To monitor PA, it is recommended to use pedometer in normal bodyweight and overweight groups while accelerometer is advisable in obese subjects. A combined approach of objective and subjective PA monitoring tools is preferable.

Changes in markers of oxidative stress and DNA damage in human visceral adipose tissue from subjects with obesity and type 2 diabetes.

PubMed

Jones, D A; Prior, S L; Barry, J D; Caplin, S; Baxter, J N; Stephens, J W

2014-12-01

In the past 30 years, prevalence of obesity has almost trebled resulting in an increased incidence of type 2 diabetes mellitus and other co-morbidities. Visceral adipose tissue is believed to play a vital role, but underlying mechanisms remain unclear. Our aim was to investigate changes in markers of oxidative damage in human visceral adipose tissue to determine levels of oxidative burden that may be attributed to obesity and/or diabetes. Visceral adipose tissue samples from 61 subjects undergoing abdominal surgery grouped as lean, obese and obese with type 2 diabetes mellitus, were examined using 3 different markers of oxidative stress. Malondialdehyde (MDA) concentration was measured as a marker of lipid peroxidation, telomere length and Comet assay as markers of oxidative DNA damage. No significant difference in MDA concentration, telomere length and DNA damage was observed between groups, although longer telomere lengths were seen in the obese with diabetes group compared to the obese group (P<0.05). Lower MDA concentration and longer telomere length were seen in subjects with diabetes compared to those without (P<0.05). DNA damage, analysed via Comet assay, was significantly lower in subjects with diabetes compared to those without (P<0.05). A paradoxical decrease in oxidative stress and DNA damage was observed in samples from subjects with type 2 diabetes mellitus. Further work is required to investigate this further, however this phenomenon may be due to an up regulation of antioxidant defences in adipose tissue. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Friends Like Me: Associations in Overweight/Obese Status among Adolescent Friends by Race/Ethnicity, Sex, and Friendship Type

PubMed Central

MacLehose, Richard; Eisenberg, Marla E.; Kim, Sunkyung; Story, Mary; Neumark-Sztainer, Dianne

2015-01-01

Abstract Background: Little is known about how interpersonal friend relationships are associated with obesity in young people, particularly with regard to how race/ethnicity, type of friendship, and sex affect the association between friends' and adolescents' weight status. This study examined associations in weight status among adolescents and their friends, exploring magnitudes of associations across friendship type, sex, and race/ethnicity. Methods: As part of EAT-2010 (Eating and Activity in Teens), friend nominations and anthropometrics were obtained from adolescents (n = 2099: 54% female; 80% nonwhite; mean age: 14.2 ± 1.9 years). Generalized estimating equation logistic regression models were used to test associations between adolescents' overweight/obese status and friends' (i.e., friend group, female friends, male friends, female best friends, and male best friends) overweight/obese status. Interactions by adolescent race/ethnicity were examined. Results: The majority of significant associations were observed among white female adolescents' who had a 22–40% higher prevalence of overweight/obesity if their friends were overweight compared to white females whose friends were not overweight. In contrast, there were few significant differences for other adolescent female and male racial/ethnic groups for girls and boys. Results for friend groups and best friends were generally similar to one another. Conclusions: The association between friend and adolescent overweight/obese status depended on adolescents' sex, race/ethnicity, and friendship type. Given the similarities among friends, obesity interventions targeting youth, especially white females, should consider involving friends. PMID:26655453

Bariatric surgery: an IDF statement for obese Type 2 diabetes

PubMed Central

Dixon, J B; Zimmet, P; Alberti, K G; Rubino, F

2011-01-01

The International Diabetes Federation Taskforce on Epidemiology and Prevention of Diabetes convened a consensus working group of diabetologists, endocrinologists, surgeons and public health experts to review the appropriate role of surgery and other gastrointestinal interventions in the treatment and prevention of Type 2 diabetes. The specific goals were: to develop practical recommendations for clinicians on patient selection; to identify barriers to surgical access and suggest interventions for health policy changes that ensure equitable access to surgery when indicated; and to identify priorities for research. Bariatric surgery can significantly improve glycaemic control in severely obese patients with Type 2 diabetes. It is an effective, safe and cost-effective therapy for obese Type 2 diabetes. Surgery can be considered an appropriate treatment for people with Type 2 diabetes and obesity not achieving recommended treatment targets with medical therapies, especially in the presence of other major co-morbidities. The procedures must be performed within accepted guidelines and require appropriate multidisciplinary assessment for the procedure, comprehensive patient education and ongoing care, as well as safe and standardized surgical procedures. National guidelines for bariatric surgery need to be developed for people with Type 2 diabetes and a BMI of 35 kg/m2 or more. PMID:21480973

Impaired Laparotomy Wound Healing in Obese Rats

PubMed Central

Xing, Liyu; Culbertson, Eric J.; Wen, Yuan; Robson, Martin C.

2015-01-01

Background Obesity increases the risk of laparotomy dehiscence and incisional hernia. The aim of this study was to measure the biological effect of obesity on laparotomy wound healing and the formation of incisional hernias. Methods Normal-weight Sprague–Dawley (SD) and obese Zucker rats were used in an established laparotomy wound healing and incisional ventral hernia model. Mechanical testing was performed on abdominal wall strips collected from laparotomy wounds. Hernia size was measured by digital imaging. Picrosirius staining for collagen isoforms was observed with polarized microscopy. Abdominal wall fibroblasts were cultured to measure collagen matrix remodeling and proliferation. Results Laparotomy wound healing was significantly impaired in obese rats. Mechanical strength was lower than in normal-weight rats. Yield load was reduced in the obese group at all time points. Picrosirius red staining showed increased immature type III collagen content and disorganized type I collagen fibers within laparotomy wounds of obese rats. Wound size was significantly larger in the obese group. Collagen matrix remodeling was impaired with fibroblasts from obese rats, but there was no difference in fibroblast proliferation between the obese and normal-weight groups. Conclusions We observed for the first time that laparotomy wound healing is impaired in obese rats. The recovery of laparotomy wound strength is delayed due to abnormal collagen maturation and remodeling, possibly due to a defect in fibroblast function. Strategies to improve outcomes for laparotomy wound healing in obese patients should include correcting the wound healing defect, possibly with growth factor or cell therapy. PMID:21347822

EEG Recording and Online Signal Processing on Android: A Multiapp Framework for Brain-Computer Interfaces on Smartphone

PubMed Central

Debener, Stefan; Emkes, Reiner; Volkening, Nils; Fudickar, Sebastian; Bleichner, Martin G.

2017-01-01

Objective Our aim was the development and validation of a modular signal processing and classification application enabling online electroencephalography (EEG) signal processing on off-the-shelf mobile Android devices. The software application SCALA (Signal ProCessing and CLassification on Android) supports a standardized communication interface to exchange information with external software and hardware. Approach In order to implement a closed-loop brain-computer interface (BCI) on the smartphone, we used a multiapp framework, which integrates applications for stimulus presentation, data acquisition, data processing, classification, and delivery of feedback to the user. Main Results We have implemented the open source signal processing application SCALA. We present timing test results supporting sufficient temporal precision of audio events. We also validate SCALA with a well-established auditory selective attention paradigm and report above chance level classification results for all participants. Regarding the 24-channel EEG signal quality, evaluation results confirm typical sound onset auditory evoked potentials as well as cognitive event-related potentials that differentiate between correct and incorrect task performance feedback. Significance We present a fully smartphone-operated, modular closed-loop BCI system that can be combined with different EEG amplifiers and can easily implement other paradigms. PMID:29349070

Population resizing on fitness improvement genetic algorithm to optimize promotion visit route based on android and google maps API

NASA Astrophysics Data System (ADS)

Listyorini, Tri; Muzid, Syafiul

2017-06-01

The promotion team of Muria Kudus University (UMK) has done annual promotion visit to several senior high schools in Indonesia. The visits were done to numbers of schools in Kudus, Jepara, Demak, Rembang and Purwodadi. To simplify the visit, each visit round is limited to 15 (fifteen) schools. However, the team frequently faces some obstacles during the visit, particularly in determining the route that they should take toward the targeted school. It is due to the long distance or the difficult route to reach the targeted school that leads to elongated travel duration and inefficient fuel cost. To solve these problems, the development of a certain application using heuristic genetic algorithm method based on the dynamic of population size or Population Resizing on Fitness lmprovement Genetic Algorithm (PRoFIGA), was done. This android-based application was developed to make the visit easier and to determine a shorter route for the team, hence, the visiting period will be effective and efficient. The result of this research was an android-based application to determine the shortest route by combining heuristic method and Google Maps Application Programming lnterface (API) that display the route options for the team.

First aid manual in an android environment.

PubMed

Theodoromanolakis, Panos; Zygouras, Nikolaos; Mantas, John

2013-01-01

The First Aid Manual constitutes a detailed guide which contains useful information and suggested acts for potential pathogenic conditions in everyday life, given in an Android environment. The aim of the project is the capability of eliciting information regarding First Aid, by means of a widespread use device, such as smartphones. For the conduction of the project a database was used, into which the information was incorporated, in order to be later reloaded into the Eclipse environment. It will there receive its final form as an executable file for android cellphones. The executable file axx.apk originated an application which, providing the user with 6 main categories (definition, epidemiological evidence, aggravating factors, symptoms, what to do, what to avoid, acts) gives them access to an easy navigation and enables them to provide first grade care, without the requirement of any previous experience. The more and more advanced needs of the modern lifestyle, combined with technological achievements have created a complex system of social fabric, having of course an effect also on the area of human accidents. Hence, First Aid information given in the environment of a mobile phone can prove to be a useful tool for anyone, in case of an accident.

Android application for determining surgical variables in brain-tumor resection procedures

PubMed Central

Vijayan, Rohan C.; Thompson, Reid C.; Chambless, Lola B.; Morone, Peter J.; He, Le; Clements, Logan W.; Griesenauer, Rebekah H.; Kang, Hakmook; Miga, Michael I.

2017-01-01

Abstract. The fidelity of image-guided neurosurgical procedures is often compromised due to the mechanical deformations that occur during surgery. In recent work, a framework was developed to predict the extent of this brain shift in brain-tumor resection procedures. The approach uses preoperatively determined surgical variables to predict brain shift and then subsequently corrects the patient’s preoperative image volume to more closely match the intraoperative state of the patient’s brain. However, a clinical workflow difficulty with the execution of this framework is the preoperative acquisition of surgical variables. To simplify and expedite this process, an Android, Java-based application was developed for tablets to provide neurosurgeons with the ability to manipulate three-dimensional models of the patient’s neuroanatomy and determine an expected head orientation, craniotomy size and location, and trajectory to be taken into the tumor. These variables can then be exported for use as inputs to the biomechanical model associated with the correction framework. A multisurgeon, multicase mock trial was conducted to compare the accuracy of the virtual plan to that of a mock physical surgery. It was concluded that the Android application was an accurate, efficient, and timely method for planning surgical variables. PMID:28331887

Design and field test equipment of river water level detection based on ultrasonic sensor and SMS gateway as flood early warning

NASA Astrophysics Data System (ADS)

Sulistyowati, Riny; Sujono, Hari Agus; Musthofa, Ahmad Khamdi

2017-06-01

Due to the high rainfall, flood often occurs in some regions, especially in the area adjacent to the river banks that led to the idea to make the river water level detection system as a flood early warning. Several researches have produced flood detection equipment based on ultrasonic sensors and android as flood early warning system. This paper reported the results of a field test detection equipment to measure the river water level of the Bengawansolo River that was conducted in three villages in the district of Bungah, Dukun, and Manyar in Gresik regency. Tests were conducted simultaneously for 21 hours during heavy rainfall. The test results demonstrated the accuracy of the equipment of 97.28% for all categories of observation. The application of AFD (Android Flood Detection) via android smartphone demonstrated its precision in conveying the information of water level as represented by the status of SAFE, STAND, WARNING, and DANGER. Some charts presented from the analysis of data was derived from the data acquisition time of testing that can be used as an evaluation of flooding at some points prone to flood.

EEG Recording and Online Signal Processing on Android: A Multiapp Framework for Brain-Computer Interfaces on Smartphone.

PubMed

Blum, Sarah; Debener, Stefan; Emkes, Reiner; Volkening, Nils; Fudickar, Sebastian; Bleichner, Martin G

2017-01-01

Our aim was the development and validation of a modular signal processing and classification application enabling online electroencephalography (EEG) signal processing on off-the-shelf mobile Android devices. The software application SCALA (Signal ProCessing and CLassification on Android) supports a standardized communication interface to exchange information with external software and hardware. In order to implement a closed-loop brain-computer interface (BCI) on the smartphone, we used a multiapp framework, which integrates applications for stimulus presentation, data acquisition, data processing, classification, and delivery of feedback to the user. We have implemented the open source signal processing application SCALA. We present timing test results supporting sufficient temporal precision of audio events. We also validate SCALA with a well-established auditory selective attention paradigm and report above chance level classification results for all participants. Regarding the 24-channel EEG signal quality, evaluation results confirm typical sound onset auditory evoked potentials as well as cognitive event-related potentials that differentiate between correct and incorrect task performance feedback. We present a fully smartphone-operated, modular closed-loop BCI system that can be combined with different EEG amplifiers and can easily implement other paradigms.

Smartphone applications: A contemporary resource for dermatopathology

PubMed Central

Hanna, Matthew G.; Parwani, Anil V.; Pantanowitz, Liron; Punjabi, Vinod; Singh, Rajendra

2015-01-01

Introduction: Smartphone applications in medicine are becoming increasingly prevalent. Given that most pathologists and pathology trainees today use smartphones, an obvious modality for pathology education is through smartphone applications. “MyDermPath” is a novel smartphone application that was developed as an interactive reference tool for dermatology and dermatopathology, available for iOS and Android. Materials and Methods: “MyDermPath” was developed using Apple Xcode and Google Android SDK. Dermatology images (static and virtual slides) were annotated and configured into an algorithmic format. Each image comprised educational data (diagnosis, clinical information, histopathology, special stains, differential diagnosis, clinical management, linked PubMed references). Added functionality included personal note taking, pop quiz, and image upload capabilities. A website was created (http://mydermpath.com) to mirror the app. Results: The application was released in August 2011 and updated in November 2013. More than 1,100 reference diagnoses, with over 2,000 images are available via the application and website. The application has been downloaded approximately 14,000 times. The application is available for use on iOS and Android platforms. Conclusions: Smartphone applications have tremendous potential for advancing pathology education. “MyDermPath” represents an interactive reference tool for dermatology and dermatopathologists. PMID:26284155

Android-based E-Traffic law enforcement system in Surakarta City

NASA Astrophysics Data System (ADS)

Yulianto, Budi; Setiono

2018-03-01

The urban advancement is always overpowered by the increasing number of vehicles as the need for movement of people and goods. This can lead to traffic problems if there is no effort on the implementation of traffic management and engineering, and traffic law enforcement. In this case, the Government of Surakarta City has implemented various policies and regulations related to traffic management and engineering in order to run traffic in an orderly, safe and comfortable manner according to the applicable law. However, conditions in the field shows that traffic violations still occurred frequently due to the weakness of traffic law enforcement in terms of human resources and the system. In this connection, a tool is needed to support traffic law enforcement, especially in relation to the reporting system of traffic violations. This study aims to develop an Android-based traffic violations reporting application (E-Traffic Law Enforcement) as part of the traffic law enforcement system in Surakarta City. The Android-apps records the location and time of the traffic violations incident along with the visual evidence of the infringement. This information will be connected to the database system to detect offenders and to do the traffic law enforcement process.

Implementation of Wi-Fi Signal Sampling on an Android Smartphone for Indoor Positioning Systems.

PubMed

Liu, Hung-Huan; Liu, Chun

2017-12-21

Collecting and maintaining radio fingerprint for wireless indoor positioning systems involves considerable time and labor. We have proposed the quick radio fingerprint collection (QRFC) algorithm which employed the built-in accelerometer of Android smartphones to implement step detection in order to assist in collecting radio fingerprints. In the present study, we divided the algorithm into moving sampling (MS) and stepped MS (SMS), and describe the implementation of both algorithms and their comparison. Technical details and common errors concerning the use of Android smartphones to collect Wi-Fi radio beacons were surveyed and discussed. The results of signal sampling experiments performed in a hallway measuring 54 m in length showed that in terms of the amount of time required to complete collection of access point (AP) signals, static sampling (SS; a traditional procedure for collecting Wi-Fi signals) took at least 2 h, whereas MS and SMS took approximately 150 and 300 s, respectively. Notably, AP signals obtained through MS and SMS were comparable to those obtained through SS in terms of the distribution of received signal strength indicator (RSSI) and positioning accuracy. Therefore, MS and SMS are recommended instead of SS as signal sampling procedures for indoor positioning algorithms.

Implementation of Wi-Fi Signal Sampling on an Android Smartphone for Indoor Positioning Systems

PubMed Central

Liu, Chun

2017-01-01

Collecting and maintaining radio fingerprint for wireless indoor positioning systems involves considerable time and labor. We have proposed the quick radio fingerprint collection (QRFC) algorithm which employed the built-in accelerometer of Android smartphones to implement step detection in order to assist in collecting radio fingerprints. In the present study, we divided the algorithm into moving sampling (MS) and stepped MS (SMS), and describe the implementation of both algorithms and their comparison. Technical details and common errors concerning the use of Android smartphones to collect Wi-Fi radio beacons were surveyed and discussed. The results of signal sampling experiments performed in a hallway measuring 54 m in length showed that in terms of the amount of time required to complete collection of access point (AP) signals, static sampling (SS; a traditional procedure for collecting Wi-Fi signals) took at least 2 h, whereas MS and SMS took approximately 150 and 300 s, respectively. Notably, AP signals obtained through MS and SMS were comparable to those obtained through SS in terms of the distribution of received signal strength indicator (RSSI) and positioning accuracy. Therefore, MS and SMS are recommended instead of SS as signal sampling procedures for indoor positioning algorithms. PMID:29267234

Environment Modeling Using Runtime Values for JPF-Android

NASA Technical Reports Server (NTRS)

van der Merwe, Heila; Tkachuk, Oksana; Nel, Seal; van der Merwe, Brink; Visser, Willem

2015-01-01

Software applications are developed to be executed in a specific environment. This environment includes external native libraries to add functionality to the application and drivers to fire the application execution. For testing and verification, the environment of an application is simplified abstracted using models or stubs. Empty stubs, returning default values, are simple to generate automatically, but they do not perform well when the application expects specific return values. Symbolic execution is used to find input parameters for drivers and return values for library stubs, but it struggles to detect the values of complex objects. In this work-in-progress paper, we explore an approach to generate drivers and stubs based on values collected during runtime instead of using default values. Entry-points and methods that need to be modeled are instrumented to log their parameters and return values. The instrumented applications are then executed using a driver and instrumented libraries. The values collected during runtime are used to generate driver and stub values on- the-fly that improve coverage during verification by enabling the execution of code that previously crashed or was missed. We are implementing this approach to improve the environment model of JPF-Android, our model checking and analysis tool for Android applications.

Android application for determining surgical variables in brain-tumor resection procedures.

PubMed

Vijayan, Rohan C; Thompson, Reid C; Chambless, Lola B; Morone, Peter J; He, Le; Clements, Logan W; Griesenauer, Rebekah H; Kang, Hakmook; Miga, Michael I

2017-01-01

The fidelity of image-guided neurosurgical procedures is often compromised due to the mechanical deformations that occur during surgery. In recent work, a framework was developed to predict the extent of this brain shift in brain-tumor resection procedures. The approach uses preoperatively determined surgical variables to predict brain shift and then subsequently corrects the patient's preoperative image volume to more closely match the intraoperative state of the patient's brain. However, a clinical workflow difficulty with the execution of this framework is the preoperative acquisition of surgical variables. To simplify and expedite this process, an Android, Java-based application was developed for tablets to provide neurosurgeons with the ability to manipulate three-dimensional models of the patient's neuroanatomy and determine an expected head orientation, craniotomy size and location, and trajectory to be taken into the tumor. These variables can then be exported for use as inputs to the biomechanical model associated with the correction framework. A multisurgeon, multicase mock trial was conducted to compare the accuracy of the virtual plan to that of a mock physical surgery. It was concluded that the Android application was an accurate, efficient, and timely method for planning surgical variables.

Registration system of cloud campus by using android smart tablet.

PubMed

Kamada, Shin; Ichimura, Takumi; Shigeyasu, Tetsuya; Takemoto, Yasuhiko

2014-01-01

Near Field Communication (NFC) standard covers communication protocols and data exchange formats. NFC technology is one of radio-frequency identification (RFID) standards. In Japan, Felica card is a popular way to identify the unique ID. We developed the attendance management system (AMS) as the Android application which works in the smart tablet with NFC. Generally, the AMS in the university is fixed to the wall and each student touches or slides his/her own card to the dedicated equipment. Because a teacher can use his/her own smart tablet and/or smartphone, the attendance records are viewed anytime and anywhere. Moreover, we developed the collecting system between PC and some tablets by using Android beam. Any personal data are encrypted and the file can be transferred over the NFC Bluetooth Handover between PC Linux and smart tablet. By the mining of the collected records, early discovery for chronic non-attenders are extracted in educational affairs section. In this paper, a registration system on the cloud campus system by using the personal smartphone with NFC is developed. The system enables to introduce the university courses that are open to the general public.

Smartphone applications: A contemporary resource for dermatopathology.

PubMed

Hanna, Matthew G; Parwani, Anil V; Pantanowitz, Liron; Punjabi, Vinod; Singh, Rajendra

2015-01-01

Smartphone applications in medicine are becoming increasingly prevalent. Given that most pathologists and pathology trainees today use smartphones, an obvious modality for pathology education is through smartphone applications. "MyDermPath" is a novel smartphone application that was developed as an interactive reference tool for dermatology and dermatopathology, available for iOS and Android. "MyDermPath" was developed using Apple Xcode and Google Android SDK. Dermatology images (static and virtual slides) were annotated and configured into an algorithmic format. Each image comprised educational data (diagnosis, clinical information, histopathology, special stains, differential diagnosis, clinical management, linked PubMed references). Added functionality included personal note taking, pop quiz, and image upload capabilities. A website was created (http://mydermpath.com) to mirror the app. The application was released in August 2011 and updated in November 2013. More than 1,100 reference diagnoses, with over 2,000 images are available via the application and website. The application has been downloaded approximately 14,000 times. The application is available for use on iOS and Android platforms. Smartphone applications have tremendous potential for advancing pathology education. "MyDermPath" represents an interactive reference tool for dermatology and dermatopathologists.

Moving Phones Tick Slower: Creating an Android App to Demonstrate Time Dilation

NASA Astrophysics Data System (ADS)

Underwood, Bret; Zhai, Yunxiao

2016-05-01

Smartphones and tablets are packed with sensors that allow us to take experimental data, essentially making them mobile physics labs. Apps exist that make it easy to capture and analyze data from these sensors, allowing users to study diverse phenomena such as free fall acceleration, the speed of sound, radioactivity, and many others. Commonly, the use of apps in the physics classroom focuses on existing apps rather than on the creation of apps themselves. This is for a good reason-writing an app usually requires advanced knowledge of programming languages and experience with app design. These skills are generally regarded as beyond the typical physics student. However, there are app development environments, such as MIT App Inventor 2 for Android, which make the process of creating an app and utilizing the sensors much more accessible to students. Putting the ability to create and configure apps within the reach of students can also help integrate computation into the curriculum. In this article, we discuss our creation of an Android app, Time Dilation Calculator, done as part of a senior undergraduate capstone project, which uses App Inventor and a mobile device's global positioning system (GPS) receiver to calculate the time dilation effect of special relativity.

Apps seeking theories: results of a study on the use of health behavior change theories in cancer survivorship mobile apps.

PubMed

Vollmer Dahlke, Deborah; Fair, Kayla; Hong, Y Alicia; Beaudoin, Christopher E; Pulczinski, Jairus; Ory, Marcia G

2015-03-27

Thousands of mobile health apps are now available for use on mobile phones for a variety of uses and conditions, including cancer survivorship. Many of these apps appear to deliver health behavior interventions but may fail to consider design considerations based in human computer interface and health behavior change theories. This study is designed to assess the presence of and manner in which health behavior change and health communication theories are applied in mobile phone cancer survivorship apps. The research team selected a set of criteria-based health apps for mobile phones and assessed each app using qualitative coding methods to assess the application of health behavior change and communication theories. Each app was assessed using a coding derived from the taxonomy of 26 health behavior change techniques by Abraham and Michie with a few important changes based on the characteristics of mHealth apps that are specific to information processing and human computer interaction such as control theory and feedback systems. A total of 68 mobile phone apps and games built on the iOS and Android platforms were coded, with 65 being unique. Using a Cohen's kappa analysis statistic, the inter-rater reliability for the iOS apps was 86.1 (P<.001) and for the Android apps, 77.4 (P<.001). For the most part, the scores for inclusion of theory-based health behavior change characteristics in the iOS platform cancer survivorship apps were consistently higher than those of the Android platform apps. For personalization and tailoring, 67% of the iOS apps (24/36) had these elements as compared to 38% of the Android apps (12/32). In the area of prompting for intention formation, 67% of the iOS apps (34/36) indicated these elements as compared to 16% (5/32) of the Android apps. Mobile apps are rapidly emerging as a way to deliver health behavior change interventions that can be tailored or personalized for individuals. As these apps and games continue to evolve and include interactive and adaptive sensors and other forms of dynamic feedback, their content and interventional elements need to be grounded in human computer interface design and health behavior and communication theory and practice.

Apps Seeking Theories: Results of a Study on the Use of Health Behavior Change Theories in Cancer Survivorship Mobile Apps

PubMed Central

Fair, Kayla; Hong, Y Alicia; Beaudoin, Christopher E; Pulczinski, Jairus; Ory, Marcia G

2015-01-01

Background Thousands of mobile health apps are now available for use on mobile phones for a variety of uses and conditions, including cancer survivorship. Many of these apps appear to deliver health behavior interventions but may fail to consider design considerations based in human computer interface and health behavior change theories. Objective This study is designed to assess the presence of and manner in which health behavior change and health communication theories are applied in mobile phone cancer survivorship apps. Methods The research team selected a set of criteria-based health apps for mobile phones and assessed each app using qualitative coding methods to assess the application of health behavior change and communication theories. Each app was assessed using a coding derived from the taxonomy of 26 health behavior change techniques by Abraham and Michie with a few important changes based on the characteristics of mHealth apps that are specific to information processing and human computer interaction such as control theory and feedback systems. Results A total of 68 mobile phone apps and games built on the iOS and Android platforms were coded, with 65 being unique. Using a Cohen’s kappa analysis statistic, the inter-rater reliability for the iOS apps was 86.1 (P<.001) and for the Android apps, 77.4 (P<.001). For the most part, the scores for inclusion of theory-based health behavior change characteristics in the iOS platform cancer survivorship apps were consistently higher than those of the Android platform apps. For personalization and tailoring, 67% of the iOS apps (24/36) had these elements as compared to 38% of the Android apps (12/32). In the area of prompting for intention formation, 67% of the iOS apps (34/36) indicated these elements as compared to 16% (5/32) of the Android apps. Conclusions Mobile apps are rapidly emerging as a way to deliver health behavior change interventions that can be tailored or personalized for individuals. As these apps and games continue to evolve and include interactive and adaptive sensors and other forms of dynamic feedback, their content and interventional elements need to be grounded in human computer interface design and health behavior and communication theory and practice. PMID:25830810

Determining rates of overweight and obese status in children using electronic medical records: Cross-sectional study.

PubMed

Birken, Catherine S; Tu, Karen; Oud, William; Carsley, Sarah; Hanna, Miranda; Lebovic, Gerald; Guttmann, Astrid

2017-02-01

To determine the prevalence of overweight and obese status in children by age, sex, and visit type, using data from EMRALD ® (Electronic Medical Record Administrative data Linked Database). Heights and weights were abstracted for children 0 to 19 years of age who had at least one well-child visit from January 2010 to December 2011. Using the most recent visit, the proportions and 95% CIs of patients defined as overweight and obese were compared by age group, sex, and visit type using the World Health Organization growth reference standards. Ontario. Children 0 to 19 years of age who were rostered to a primary care physician participating in EMRALD and had at least one well-child visit from January 2010 to December 2011. Proportion and 95% CI of children with overweight and obese status by age group; proportion of children with overweight and obese status by sex (with male sex as the referent) within each age group; and proportion of children with overweight and obese status at the most recent well-child visit type compared with other visit types by age group. There were 28 083 well-child visits during this period. For children who attended well-child visits, 84.7% of visits had both a height and weight documented. Obesity rates were significantly higher in 1- to 4-year-olds compared with children younger than 1 (6.1% vs 2.3%; P < .001), and in 10- to 14-year-olds compared with 5- to 9-year-olds (12.0% vs 9.0%; P < .05). Both 1- to 4-year-old boys (7.2% vs 4.9%; P < .01) and 10- to 14-year-old boys (14.5% vs 9.6%; P < .05) had higher obesity rates compared with girls. Rates of overweight and obese status were lower using data from well-child visits compared with other visits. Electronic medical records might be useful to conduct population-based surveillance of overweight or obese status in children. Methodologic standards, however, should be developed. Copyright© the College of Family Physicians of Canada.

Determining rates of overweight and obese status in children using electronic medical records

PubMed Central

Birken, Catherine S.; Tu, Karen; Oud, William; Carsley, Sarah; Hanna, Miranda; Lebovic, Gerald; Guttmann, Astrid

2017-01-01

Abstract Objective To determine the prevalence of overweight and obese status in children by age, sex, and visit type, using data from EMRALD® (Electronic Medical Record Administrative data Linked Database). Design Heights and weights were abstracted for children 0 to 19 years of age who had at least one well-child visit from January 2010 to December 2011. Using the most recent visit, the proportions and 95% CIs of patients defined as overweight and obese were compared by age group, sex, and visit type using the World Health Organization growth reference standards. Setting Ontario. Participants Children 0 to 19 years of age who were rostered to a primary care physician participating in EMRALD and had at least one well-child visit from January 2010 to December 2011. Main outcome measures Proportion and 95% CI of children with overweight and obese status by age group; proportion of children with overweight and obese status by sex (with male sex as the referent) within each age group; and proportion of children with overweight and obese status at the most recent well-child visit type compared with other visit types by age group. Results There were 28 083 well-child visits during this period. For children who attended well-child visits, 84.7% of visits had both a height and weight documented. Obesity rates were significantly higher in 1- to 4-year-olds compared with children younger than 1 (6.1% vs 2.3%; P < .001), and in 10- to 14-year-olds compared with 5- to 9-year-olds (12.0% vs 9.0%; P < .05). Both 1- to 4-year-old boys (7.2% vs 4.9%; P < .01) and 10- to 14-year-old boys (14.5% vs 9.6%; P < .05) had higher obesity rates compared with girls. Rates of overweight and obese status were lower using data from well-child visits compared with other visits. Conclusion Electronic medical records might be useful to conduct population-based surveillance of overweight or obese status in children. Methodologic standards, however, should be developed. PMID:28209703

Obesity and metabolic surgery in type 1 diabetes mellitus.

PubMed

Raab, Heike; Weiner, R A; Frenken, M; Rett, K; Weiner, S

2013-03-01

Obesity surgery is an effective method for treating obesity and diabetes mellitus type 2. This type of diabetes can be completely resolved in 78.1% of diabetic patients and can be improved or resolved in 86.6% of diabetic patients. But little is known about bariatric surgery in type 1 diabetes mellitus. We report of 6 female obese patients with diabetes mellitus type 1 who had bariatric surgery. Two of them underwent Roux-en Y gastric bypass (RNYGB), one of them had sleeve gastrectomy and the remaining three had biliopancreatic diversion with duodenal-switch (BPD-DS). Our results showed a remarkable weight reduction as well as an improvement in their blood glucose control and the insulin requirement in the followup years after surgery. Pre-surgery the BMI of our 6 patients ranged between 37.3-46.0 kg/m2 and improved to 25.8-29.0 kg/m2 one year after surgery. HbA1c decreased from 6.7-9.8% pre-surgery to 5.7-8.5% after one year post-surgery. The total amount of daily insulin requirement was reduced from 62-150 IU/day pre-surgery to 15- 54 IU/day after one year. The results are impressive and show an improvement in insulin sensitivity following obesity surgery. However, an optimal blood glucose control still remains very important in the therapy of diabetes mellitus type 1 to avoid long-term-complications. Copyright © AULA MEDICA EDICIONES 2013. Published by AULA MEDICA. All rights reserved.

Interactions of six SNPs in APOA1 gene and types of obesity on low HDL-C disease in Xinjiang pastoral area of China.

PubMed

Wang, Xinping; He, Jia; Guo, Heng; Mu, Lati; Hu, Yunhua; Ma, Jiaolong; Yan, Yizhong; Ma, Rulin; Li, Shugang; Ding, Yusong; Zhang, Mei; Niu, Qiang; Liu, Jiaming; Zhang, Jingyu; Guo, Shuxia

2017-10-02

This study aims to investigate association between six single nucleotide polymorphisms(SNPs) in APOA1 gene and types of obesity with the risk of low level HDL-C in the pastoral area of northwest China. A total of 1267 individuals including 424 patients with low HDL-C disease and 843 health subjects were analyzed based on matched for age, sex. SNPShot technique was used to detect the genotypes of rs670, rs5069, rs5072, rs7116797, rs2070665 and rs1799837 in APOA1 gene. The relationship between above six SNPs and types of obesity with low HDL-C disease was analyzed by binary logistic regression. Carriers with rs670 G allele were more likely to get low HDL-C disease (OR = 1.46, OR95%CI: 1.118-1.915; P = 0.005); The genotypic and allelic frequencies of rs5069, rs5072, rs7116797, rs2070665, rs1799837 revealed no significant differences between cases and controls (P < 0.05); with reference to normal weight, Waist circumference (WC), Waist-to-hip ratio (WHR) individuals, respectively, general obesity measured by BMI had 2.686 times (OR95%CI: 1.695-4.256; P < 0.01), abdominal obesity measured by WC had 1.925 times (OR95%CI: 1.273-2.910; P = 0.002) and abdominal obesity measured by WHR had 1.640 times (OR95%CI: 1.114-2.416; P = 0.012) risk to get low HDL-C disease; APOA1 rs670 interacted with obesity (no matter general obesity or abdominal obesity) on low HDL-C disease. APOA1 gene may be associated with low HDL-C disease in the pastoral area of northwest China; obesity was the risk factor for low HDL-C disease; the low HDL-C disease is influenced by APOA1, obesity, and their interactions.

Epigenetics in adipose tissue, obesity, weight loss and diabetes

USDA-ARS?s Scientific Manuscript database

Given the role that the diet and other environmental factors play in the development of obesity and type 2 diabetes, the implication of different epigenetic processes is being investigated. Although it is well known that the environmental factors can cause cell type-dependent epigenetic changes, inc...