Knowledge-Sparse and Knowledge-Rich Learning in Information Retrieval.
ERIC Educational Resources Information Center
Rada, Roy
1987-01-01
Reviews aspects of the relationship between machine learning and information retrieval. Highlights include learning programs that extend from knowledge-sparse learning to knowledge-rich learning; the role of the thesaurus; knowledge bases; artificial intelligence; weighting documents; work frequency; and merging classification structures. (78…
Semantics driven approach for knowledge acquisition from EMRs.
Perera, Sujan; Henson, Cory; Thirunarayan, Krishnaprasad; Sheth, Amit; Nair, Suhas
2014-03-01
Semantic computing technologies have matured to be applicable to many critical domains such as national security, life sciences, and health care. However, the key to their success is the availability of a rich domain knowledge base. The creation and refinement of domain knowledge bases pose difficult challenges. The existing knowledge bases in the health care domain are rich in taxonomic relationships, but they lack nontaxonomic (domain) relationships. In this paper, we describe a semiautomatic technique for enriching existing domain knowledge bases with causal relationships gleaned from Electronic Medical Records (EMR) data. We determine missing causal relationships between domain concepts by validating domain knowledge against EMR data sources and leveraging semantic-based techniques to derive plausible relationships that can rectify knowledge gaps. Our evaluation demonstrates that semantic techniques can be employed to improve the efficiency of knowledge acquisition.
Reusing Design Knowledge Based on Design Cases and Knowledge Map
ERIC Educational Resources Information Center
Yang, Cheng; Liu, Zheng; Wang, Haobai; Shen, Jiaoqi
2013-01-01
Design knowledge was reused for innovative design work to support designers with product design knowledge and help designers who lack rich experiences to improve their design capacity and efficiency. First, based on the ontological model of product design knowledge constructed by taxonomy, implicit and explicit knowledge was extracted from some…
ERIC Educational Resources Information Center
Wu, Ji-Wei; Tseng, Judy C. R.; Hwang, Gwo-Jen
2015-01-01
Inquiry-Based Learning (IBL) is an effective approach for promoting active learning. When inquiry-based learning is incorporated into instruction, teachers provide guiding questions for students to actively explore the required knowledge in order to solve the problems. Although the World Wide Web (WWW) is a rich knowledge resource for students to…
Advanced Networks in Dental Rich Online MEDiA (ANDROMEDA)
NASA Astrophysics Data System (ADS)
Elson, Bruce; Reynolds, Patricia; Amini, Ardavan; Burke, Ezra; Chapman, Craig
There is growing demand for dental education and training not only in terms of knowledge but also skills. This demand is driven by continuing professional development requirements in the more developed economies, personnel shortages and skills differences across the European Union (EU) accession states and more generally in the developing world. There is an excellent opportunity for the EU to meet this demand by developing an innovative online flexible learning platform (FLP). Current clinical online systems are restricted to the delivery of general, knowledge-based training with no easy method of personalization or delivery of skill-based training. The PHANTOM project, headed by Kings College London is developing haptic-based virtual reality training systems for clinical dental training. ANDROMEDA seeks to build on this and establish a Flexible Learning Platform that can integrate the haptic and sensor based training with rich media knowledge transfer, whilst using sophisticated technologies such as including service-orientated architecture (SOA), Semantic Web technologies, knowledge-based engineering, business intelligence (BI) and virtual worlds for personalization.
Modeling science: Supporting a more authentic epistemology of science
NASA Astrophysics Data System (ADS)
Svoboda, Julia Marie
In this dissertation I argue that model-based inquiry has the potential to create experiences for students to consider how scientific knowledge is generated and evaluated - that is, for students to consider the epistemology of science. I also argue that such epistemically rich experiences can lead to shifts in students' conceptions of the nature of scientific knowledge. The context of this work is a yearlong biological modeling traineeship for undergraduate mathematics and biology majors called Collaborative Learning at the Interface of Mathematics and Biology (CLIMB). I used an ethnographically-based approach to collect detailed field notes, video, documents and interviews with faculty and students in CLIMB. The resulting dataset provides a rich description of the CLIMB program as well as students experiences in this program. Analysis of the CLIMB curriculum revealed that the degree to which students were treated as independent scholars and challenged with authentic problems influenced the productivity of their activity. A more detailed analysis of the nature of modeling tasks revealed that only when models were at the center of their activity did students have opportunities to consider epistemic themes relating to how knowledge is created and critiqued in science. Finally, a case study that followed a single student described how rich epistemically rich experiences with modeling have the potential to shift the ways in which students conceive of scientific knowledge and practice. It also provided evidence that supports the theory that students have complex multidimensional epistemic ecologies as opposed to static views about science. As a whole, this dissertation provides a rich description of how model-based inquiry can support learning about the epistemology of science and suggests that scientific modeling should have a more central role in science education.
ERIC Educational Resources Information Center
Thurmond, Brandi
2011-01-01
This study sought to compare a data-rich learning (DRL) environment that utilized online data as a tool for teaching about renewable energy technologies (RET) to a lecture-based learning environment to determine the impact of the learning environment on students' knowledge of Science, Technology, Engineering, and Math (STEM) concepts related…
Documenting Reproduction and Inequality: Revisiting Jean Anyon's "Social Class and School Knowledge"
ERIC Educational Resources Information Center
Luke, Allan
2010-01-01
Jean Anyon's (1981) "Social Class and School Knowledge" was a landmark work in North American educational research. It provided a richly detailed qualitative description of differential, social class-based constructions of knowledge and epistemological stance. This essay situates Anyon's work in two parallel traditions of critical educational…
The Cognitive Relevance of Indigenous and Rural: Why Is It Critical to Survival?
ERIC Educational Resources Information Center
Kassam, Karim-Aly S.; Avery, Leanne M.; Ruelle, Morgan L.
2017-01-01
Using two case studies of children's knowledge, this paper sheds light on the value, diversity, and necessity of Indigenous and place-based knowledge to science and engineering curricula in rural areas. Rural contexts are rich environments for cultivating contextual knowledge, hence framing a critical pedagogy of teaching and learning. Indigenous…
Incorporating linguistic knowledge for learning distributed word representations.
Wang, Yan; Liu, Zhiyuan; Sun, Maosong
2015-01-01
Combined with neural language models, distributed word representations achieve significant advantages in computational linguistics and text mining. Most existing models estimate distributed word vectors from large-scale data in an unsupervised fashion, which, however, do not take rich linguistic knowledge into consideration. Linguistic knowledge can be represented as either link-based knowledge or preference-based knowledge, and we propose knowledge regularized word representation models (KRWR) to incorporate these prior knowledge for learning distributed word representations. Experiment results demonstrate that our estimated word representation achieves better performance in task of semantic relatedness ranking. This indicates that our methods can efficiently encode both prior knowledge from knowledge bases and statistical knowledge from large-scale text corpora into a unified word representation model, which will benefit many tasks in text mining.
Incorporating Linguistic Knowledge for Learning Distributed Word Representations
Wang, Yan; Liu, Zhiyuan; Sun, Maosong
2015-01-01
Combined with neural language models, distributed word representations achieve significant advantages in computational linguistics and text mining. Most existing models estimate distributed word vectors from large-scale data in an unsupervised fashion, which, however, do not take rich linguistic knowledge into consideration. Linguistic knowledge can be represented as either link-based knowledge or preference-based knowledge, and we propose knowledge regularized word representation models (KRWR) to incorporate these prior knowledge for learning distributed word representations. Experiment results demonstrate that our estimated word representation achieves better performance in task of semantic relatedness ranking. This indicates that our methods can efficiently encode both prior knowledge from knowledge bases and statistical knowledge from large-scale text corpora into a unified word representation model, which will benefit many tasks in text mining. PMID:25874581
Co-op students' access to shared knowledge in science-rich workplaces
NASA Astrophysics Data System (ADS)
Munby, Hugh; Taylor, Jennifer; Chin, Peter; Hutchinson, Nancy L.
2007-01-01
Wenger's (1998) concepts community of practice, brokering, and transfer explain the challenges co-operative (co-op) education students face in relating the knowledge learned in school with what they learn while participating as members of a workplace. The research for this paper is set within the contexts of the knowledge economy and increased collaboration in the workplace. The paper draws on several qualitative studies of work-based education to examine the similarities and differences between learning in the workplace and learning in school, with a focus on science education and science-rich workplaces. Barriers to connecting school knowledge and workplace knowledge include the nature of science (its purpose, accountability, and substance), the structure of knowledge in each setting, the form content knowledge takes, the sequence that the curriculum is presented in, and the gatekeeping that occurs when knowledge is accessed. The paper addresses implications for interventions in school and the workplace, with attention to the transition from school to work, and concludes by pointing to profound obstacles to connecting school knowledge with workplace knowledge.
Framework for measuring adaptive knowledge-rich systems performance.
Bushko, Renata G
2005-01-01
The universe is non repeatable in nature--most of events cannot be prestated and do not repeat themselves. The only way to create systems that are truly useful is to make them adaptive (able to reason by analogy and learn) and rich in knowledge (including common sense knowledge). Adaptive and knowledge-rich health management could get us closer to errorless health care where small incremental adjustments happen all the time preventing occurrence of an error. In the era of adaptive systems we need to have a way to evaluate their performance. Are they truly adaptive? How adaptive are they? Are they accurate enough? Are they fast enough? Are they cost effective? This chapter presents general framework for measuring adaptive knowledge-rich systems' performance and includes among others definitions of adaptiveness factor, britt (a unit of brittleness) and uso-quant (unit of usefulness of a piece of knowledge). Measuring adaptive knowledge-rich systems performance is one of the most important research areas that can have a big pay-off in healthcare now and in the future.
Knowledge-Based Software Development Tools
1993-09-01
GREEN, C., AND WESTFOLD, S. Knowledge-based programming self-applied. In Machine Intelligence 10, J. E. Hayes, D. Mitchie, and Y. Pao, Eds., Wiley...Technical Report KES.U.84.2, Kestrel Institute, April 1984. [181 KORF, R. E. Toward a model of representation changes. Artificial Intelligence 14, 1...Artificial Intelligence 27, 1 (February 1985), 43-96. Replinted in Readings in Artificial Intelligence and Software Engineering, C. Rich •ad R. Waters
ERIC Educational Resources Information Center
Walters, Charles David
2017-01-01
Quantitative reasoning (P. W. Thompson, 1990, 1994) is a powerful mathematical tool that enables students to engage in rich problem solving across the curriculum. One way to support students' quantitative reasoning is to develop prospective secondary teachers' (PSTs) mathematical knowledge for teaching (MKT; Ball, Thames, & Phelps, 2008)…
Supporting Collocation Learning with a Digital Library
ERIC Educational Resources Information Center
Wu, Shaoqun; Franken, Margaret; Witten, Ian H.
2010-01-01
Extensive knowledge of collocations is a key factor that distinguishes learners from fluent native speakers. Such knowledge is difficult to acquire simply because there is so much of it. This paper describes a system that exploits the facilities offered by digital libraries to provide a rich collocation-learning environment. The design is based on…
Species richness alone does not predict cultural ecosystem service value
Graves, Rose A.; Pearson, Scott M.; Turner, Monica G.
2017-01-01
Many biodiversity-ecosystem services studies omit cultural ecosystem services (CES) or use species richness as a proxy and assume that more species confer greater CES value. We studied wildflower viewing, a key biodiversity-based CES in amenity-based landscapes, in Southern Appalachian Mountain forests and asked (i) How do aesthetic preferences for wildflower communities vary with components of biodiversity, including species richness?; (ii) How do aesthetic preferences for wildflower communities vary across psychographic groups?; and (iii) How well does species richness perform as an indicator of CES value compared with revealed social preferences for wildflower communities? Public forest visitors (n = 293) were surveyed during the summer of 2015 and asked to choose among images of wildflower communities in which flower species richness, flower abundance, species evenness, color diversity, and presence of charismatic species had been digitally manipulated. Aesthetic preferences among images were unrelated to species richness but increased with more abundant flowers, greater species evenness, and greater color diversity. Aesthetic preferences were consistent across psychographic groups and unaffected by knowledge of local flora or value placed on wildflower viewing. When actual wildflower communities (n = 54) were ranked based on empirically measured flower species richness or wildflower viewing utility based on multinomial logit models of revealed preferences, rankings were broadly similar. However, designation of hotspots (CES values above the median) based on species richness alone missed 27% of wildflower viewing utility hotspots. Thus, conservation priorities for sustaining CES should incorporate social preferences and consider multiple dimensions of biodiversity that underpin CES supply. PMID:28320953
Species richness alone does not predict cultural ecosystem service value.
Graves, Rose A; Pearson, Scott M; Turner, Monica G
2017-04-04
Many biodiversity-ecosystem services studies omit cultural ecosystem services (CES) or use species richness as a proxy and assume that more species confer greater CES value. We studied wildflower viewing, a key biodiversity-based CES in amenity-based landscapes, in Southern Appalachian Mountain forests and asked ( i ) How do aesthetic preferences for wildflower communities vary with components of biodiversity, including species richness?; ( ii ) How do aesthetic preferences for wildflower communities vary across psychographic groups?; and ( iii ) How well does species richness perform as an indicator of CES value compared with revealed social preferences for wildflower communities? Public forest visitors ( n = 293) were surveyed during the summer of 2015 and asked to choose among images of wildflower communities in which flower species richness, flower abundance, species evenness, color diversity, and presence of charismatic species had been digitally manipulated. Aesthetic preferences among images were unrelated to species richness but increased with more abundant flowers, greater species evenness, and greater color diversity. Aesthetic preferences were consistent across psychographic groups and unaffected by knowledge of local flora or value placed on wildflower viewing. When actual wildflower communities ( n = 54) were ranked based on empirically measured flower species richness or wildflower viewing utility based on multinomial logit models of revealed preferences, rankings were broadly similar. However, designation of hotspots (CES values above the median) based on species richness alone missed 27% of wildflower viewing utility hotspots. Thus, conservation priorities for sustaining CES should incorporate social preferences and consider multiple dimensions of biodiversity that underpin CES supply.
Yu, Fang-fang; Han, Jing; Wang, Xi; Fang, Hua; Liu, Huan; Guo, Xiong
2016-03-01
Kashin-Beck disease (KBD) in western China is not well controlled. The objective of this study is to evaluate prevention and control children with KBD through a meta-analysis of a community-based trial. Web of knowledge, PubMed, Elsevier, the Chinese National Knowledge Infrastructure (CNKI), VIP and Wanfang data had been electronically searched up to February 2015. Search terms included the trial terms "Salt rich selenium" and "Kashin-Beck disease." Eligible studies were prospective trials of salt-rich selenium in endemic villages. Data extraction was performed by two authors using predefined data fields that also included quality evaluation. Of 292 potentially relevant articles initially screened, reporting 11 community-based trials with a total enrollment of 2652 participants were included, from five provinces in China. The pooled odds ratios (OR) and 95 % confidence intervals (CI) of primary prevention in healthy children were 0.16 and 0.08∼0.33, respectively. The OR and 95 % CI of clinical improvement in KBD children were 6.57 and 3.33∼12.93, respectively. The OR of repairing rate of metaphysis lesions was 5.53 (95 % CI 2.92∼10.47) based on X-ray film, which was statistically significantly different in favor of salt-rich selenium. The combined standard mean difference (SMD) of selenium content in hair was 2.54 (95 % CI 1.21∼3.87) which was significantly higher in selenium group. Current evidence showed that supplement salt-rich selenium was effective in reducing new incidence in healthy children and clinical improvement including repairing metaphysis lesions instead of repairing distal end of phalanx lesions in KBD children.
Learning stoichiometry: A comparison of text and multimedia instructional formats
NASA Astrophysics Data System (ADS)
Evans, Karen L.
Even after multiple instructional opportunities, first year college chemistry students are often unable to apply stoichiometry knowledge in equilibrium and acid-base chemistry problem solving. Cognitive research findings suggest that for learning to be meaningful, learners need to actively construct their own knowledge by integrating new information into, and reorganizing, their prior understandings. Scaffolded inquiry in which facts, procedures, and principles are introduced as needed within the context of authentic problem solving may provide the practice and encoding opportunities necessary for construction of a memorable and usable knowledge base. The dynamic and interactive capabilities of online technology may facilitate stoichiometry instruction that promotes this meaningful learning. Entering college freshmen were randomly assigned to either a technology-rich or text-only set of cognitively informed stoichiometry review materials. Analysis of posttest scores revealed a significant but small difference in the performance of the two treatment groups, with the technology-rich group having the advantage. Both SAT and gender, however, explained more of the variability in the scores. Analysis of the posttest scores from the technology-rich treatment group revealed that the degree of interaction with the Virtual Lab simulation was significantly related to posttest performance and subsumed any effect of prior knowledge as measured by SAT scores. Future users of the online course should be encouraged to engage with the problem-solving opportunities provided by the Virtual Lab simulation through either explicit instruction and/or implementation of some level of program control within the course's navigational features.
Implementing Anchored Instruction: Guiding Principles for Curriculum Development.
ERIC Educational Resources Information Center
McLarty, Kim; And Others
A curriculum based on "anchored instruction" was developed to enhance students' literacy development and acquisition of knowledge. The curriculum was designed to create a rich, shared environment that generates interest and enables students to identify and define problems while they explore the content from many perspectives. Based on…
NASA Astrophysics Data System (ADS)
Koji, Yusuke; Kitamura, Yoshinobu; Kato, Yoshikiyo; Tsutsui, Yoshio; Mizoguchi, Riichiro
In conceptual design, it is important to develop functional structures which reflect the rich experience in the knowledge from previous design failures. Especially, if a designer learns possible abnormal behaviors from a previous design failure, he or she can add an additional function which prevents such abnormal behaviors and faults. To do this, it is a crucial issue to share such knowledge about possible faulty phenomena and how to cope with them. In fact, a part of such knowledge is described in FMEA (Failure Mode and Effect Analysis) sheets, function structure models for systematic design and fault trees for FTA (Fault Tree Analysis).
MedTxting: Learning based and Knowledge Rich SMS-style Medical Text Contraction
Liu, Feifan; Moosavinasab, Soheil; Houston, Thomas K.; Yu, Hong
2012-01-01
In mobile health (M-health), Short Message Service (SMS) has shown to improve disease related self-management and health service outcomes, leading to enhanced patient care. However, the hard limit on character size for each message limits the full value of exploring SMS communication in health care practices. To overcome this problem and improve the efficiency of clinical workflow, we developed an innovative system, MedTxting (available at http://medtxting.askhermes.org), which is a learning-based but knowledge-rich system that compresses medical texts in a SMS style. Evaluations on clinical questions and discharge summary narratives show that MedTxting can effectively compress medical texts with reasonable readability and noticeable size reduction. Findings in this work reveal potentials of MedTxting to the clinical settings, allowing for real-time and cost-effective communication, such as patient condition reporting, medication consulting, physicians connecting to share expertise to improve point of care. PMID:23304328
Simpson, Ian Craig; Valle, Araceli; Defior, Sylvia
2017-01-01
Although the importance of vocabulary training in English speaking countries is well recognized and has been extensively studied, the same is not true for Spanish–few evidence based vocabulary studies for Spanish-speaking children have been reported. Here, two rich oral vocabulary training programs (definition and context), based on literature about vocabulary instruction for English-speaking children, were developed and applied in a sample of 100 Spanish elementary school third-graders recruited from areas of predominantly low socio-economic status (SES). Compared to an alternative read-aloud method which served as the control, both explicit methods were more effective in teaching word meanings when assessed immediately after the intervention. Nevertheless, five months later, only the definition group continued to demonstrate significant vocabulary knowledge gains. The definition method was more effective in specifically teaching children word meanings and, more broadly, in helping children organize and express knowledge of words. We recommend the explicit and rich vocabulary instruction as a means to fostering vocabulary knowledge in low SES children. PMID:29186175
Education and Technology in the 21st Century Experiences of Adult Online Learners Using Web 2.0
ERIC Educational Resources Information Center
Bryant, Wanda L.
2014-01-01
The emergence of a knowledge-based and technology-driven economy has prompted adults to seek additional knowledge and skills that will enable them to participate effectively in society. The rapid growth and popularity of the internet tools such as Web 2.0 tools have revolutionized adult learning. Through the rich support of Web 2.0 tools, adult…
Promoting Positive Academic Dispositions Using a Web-Based PBL Environment: The GlobalEd 2 Project
ERIC Educational Resources Information Center
Brown, Scott W.; Lawless, Kimberly A.; Boyer, Mark A.
2013-01-01
Problem-based learning (PBL) is an instructional design approach for promoting student learning, understanding and knowledge development in context rich settings. Previous PBL research has primarily focused on face-to-face learning environments, but current technologies afford PBL designers the opportunities to create online, virtual, PBL…
Linguistic Knowledge and Reasoning for Error Diagnosis and Feedback Generation.
ERIC Educational Resources Information Center
Delmonte, Rodolfo
2003-01-01
Presents four sets of natural language processing-based exercises for which error correction and feedback are produced by means of a rich database in which linguistic information is encoded either at the lexical or the grammatical level. (Author/VWL)
NASA Astrophysics Data System (ADS)
Thurmond, Brandi
This study sought to compare a data-rich learning (DRL) environment that utilized online data as a tool for teaching about renewable energy technologies (RET) to a lecture-based learning environment to determine the impact of the learning environment on students' knowledge of Science, Technology, Engineering, and Math (STEM) concepts related to renewable energy technologies and students' problem solving skills. Two purposefully selected Advanced Placement (AP) Environmental Science teachers were included in the study. Each teacher taught one class about RET in a lecture-based environment (control) and another class in a DRL environment (treatment), for a total of four classes of students (n=128). This study utilized a quasi-experimental, pretest/posttest, control-group design. The initial hypothesis that the treatment group would have a significant gain in knowledge of STEM concepts related to RET and be better able to solve problems when compared to the control group was not supported by the data. Although students in the DRL environment had a significant gain in knowledge after instruction, posttest score comparisons of the control and treatment groups revealed no significant differences between the groups. Further, no significant differences were noted in students' problem solving abilities as measured by scores on a problem-based activity and self-reported abilities on a reflective questionnaire. This suggests that the DRL environment is at least as effective as the lecture-based learning environment in teaching AP Environmental Science students about RET and fostering the development of problem solving skills. As this was a small scale study, further research is needed to provide information about effectiveness of DRL environments in promoting students' knowledge of STEM concepts and problem-solving skills.
Big data analytics in immunology: a knowledge-based approach.
Zhang, Guang Lan; Sun, Jing; Chitkushev, Lou; Brusic, Vladimir
2014-01-01
With the vast amount of immunological data available, immunology research is entering the big data era. These data vary in granularity, quality, and complexity and are stored in various formats, including publications, technical reports, and databases. The challenge is to make the transition from data to actionable knowledge and wisdom and bridge the knowledge gap and application gap. We report a knowledge-based approach based on a framework called KB-builder that facilitates data mining by enabling fast development and deployment of web-accessible immunological data knowledge warehouses. Immunological knowledge discovery relies heavily on both the availability of accurate, up-to-date, and well-organized data and the proper analytics tools. We propose the use of knowledge-based approaches by developing knowledgebases combining well-annotated data with specialized analytical tools and integrating them into analytical workflow. A set of well-defined workflow types with rich summarization and visualization capacity facilitates the transformation from data to critical information and knowledge. By using KB-builder, we enabled streamlining of normally time-consuming processes of database development. The knowledgebases built using KB-builder will speed up rational vaccine design by providing accurate and well-annotated data coupled with tailored computational analysis tools and workflow.
Teachers' Learning While Constructing Technology-Based Instructional Resources
ERIC Educational Resources Information Center
Polly, Drew
2011-01-01
Grounded in a constructionist paradigm, this study examined elementary school teachers' learning while creating technology-rich instructional materials. Sixteen teachers at an elementary school were interviewed about their experience. Using the components of Technological Pedagogical and Content Knowledge as an analytical framework, inductive…
Knowledge-rich temporal relation identification and classification in clinical notes
D’Souza, Jennifer; Ng, Vincent
2014-01-01
Motivation: We examine the task of temporal relation classification for the clinical domain. Our approach to this task departs from existing ones in that it is (i) ‘knowledge-rich’, employing sophisticated knowledge derived from discourse relations as well as both domain-independent and domain-dependent semantic relations, and (ii) ‘hybrid’, combining the strengths of rule-based and learning-based approaches. Evaluation results on the i2b2 Clinical Temporal Relations Challenge corpus show that our approach yields a 17–24% and 8–14% relative reduction in error over a state-of-the-art learning-based baseline system when gold-standard and automatically identified temporal relations are used, respectively. Database URL: http://www.hlt.utdallas.edu/~jld082000/temporal-relations/ PMID:25414383
Indigenous knowledge on landraces and fonio-based food in Benin.
Ballogou, Vénérande Y; Soumanou, Mohamed M; Toukourou, Fatiou; Hounhouigan, Joseph D
2014-01-01
Fonio is a traditional cereal cultivated in many West African countries, where farmers are often the guardians of a rich diversity of landraces or traditional varieties. An investigation conducted in northwest of Benin on indigenous knowledge about fonio landraces and fonio-based traditional foods allowed us to inventory 35 landraces identified by the farmers. Ipormoa, Namba, Icantoni or Kopognakè or Icantoga and Iporhouwan landraces were good to cook paste and couscous and easy to dehusk. Besides, Ipormoa and Iporhouwan landraces had interesting agronomic characteristics. Paste, porridge, and couscous were the main fonio-based foods consumed by farmers in northwest of Benin.
Effect of Gender on the Knowledge of Medicinal Plants: Systematic Review and Meta-Analysis
Torres-Avilez, Wendy; de Medeiros, Patrícia Muniz
2016-01-01
Knowledge of medicinal plants is not only one of the main components in the structure of knowledge in local medical systems but also one of the most studied resources. This study uses a systematic review and meta-analysis of a compilation of ethnobiological studies with a medicinal plant component and the variable of gender to evaluate whether there is a gender-based pattern in medicinal plant knowledge on different scales (national, continental, and global). In this study, three types of meta-analysis are conducted on different scales. We detect no significant differences on the global level; women and men have the same rich knowledge. On the national and continental levels, significant differences are observed in both directions (significant for men and for women), and a lack of significant differences in the knowledge of the genders is also observed. This finding demonstrates that there is no gender-based pattern for knowledge on different scales. PMID:27795730
Yuan, Soe-Tsyr; Sun, Jerry
2005-10-01
Development of algorithms for automated text categorization in massive text document sets is an important research area of data mining and knowledge discovery. Most of the text-clustering methods were grounded in the term-based measurement of distance or similarity, ignoring the structure of the documents. In this paper, we present a novel method named structured cosine similarity (SCS) that furnishes document clustering with a new way of modeling on document summarization, considering the structure of the documents so as to improve the performance of document clustering in terms of quality, stability, and efficiency. This study was motivated by the problem of clustering speech documents (of no rich document features) attained from the wireless experience oral sharing conducted by mobile workforce of enterprises, fulfilling audio-based knowledge management. In other words, this problem aims to facilitate knowledge acquisition and sharing by speech. The evaluations also show fairly promising results on our method of structured cosine similarity.
The HEP Software and Computing Knowledge Base
NASA Astrophysics Data System (ADS)
Wenaus, T.
2017-10-01
HEP software today is a rich and diverse domain in itself and exists within the mushrooming world of open source software. As HEP software developers and users we can be more productive and effective if our work and our choices are informed by a good knowledge of what others in our community have created or found useful. The HEP Software and Computing Knowledge Base, hepsoftware.org, was created to facilitate this by serving as a collection point and information exchange on software projects and products, services, training, computing facilities, and relating them to the projects, experiments, organizations and science domains that offer them or use them. It was created as a contribution to the HEP Software Foundation, for which a HEP S&C knowledge base was a much requested early deliverable. This contribution will motivate and describe the system, what it offers, its content and contributions both existing and needed, and its implementation (node.js based web service and javascript client app) which has emphasized ease of use for both users and contributors.
From Whiteboard to Model: A Preliminary Analysis (Preprint)
2007-01-01
models built for process control emphasize precision, and so on. One’s available knowledge and data also influence the modeling task. Domains such as...chemical engineering and circuit design are knowledge -rich, which enables a realistic expression of the entities and relationships within the...index into the others so that the modeler can move about freely with ease. And third, no matter the richness of knowledge or data about an
The cognitive relevance of Indigenous and rural: Why is it critical to survival?
NASA Astrophysics Data System (ADS)
Kassam, Karim-Aly S.; Avery, Leanne M.; Ruelle, Morgan L.
2017-03-01
Using two case studies of children's knowledge, this paper sheds light on the value, diversity, and necessity of Indigenous and place-based knowledge to science and engineering curricula in rural areas. Rural contexts are rich environments for cultivating contextual knowledge, hence framing a critical pedagogy of teaching and learning. Indigenous and rural place-based knowledge are nuanced and pragmatic in character, and offer solutions to both local and global challenges. Two case studies, drawn from the experience of Lakota and Dakota communities and rural New York State, demonstrate the need to conserve, transmit, and contribute to Indigenous and rural knowledge through experiential and place-based education that bridges the gap between children's knowledge and global STEM. This knowledge is inherently diverse in its complexity and connectivity to habitat, and when viewed in this light, has the capacity to transform our perspectives on educational practices and policies as well as our overall outlook on conserving both ecological as well as cultural diversity worldwide. Because diversity and knowledge are necessary for the survival of life on this planet, an enriched concept of pedagogical pluralism, in terms of multiple ways of knowing, is a necessity.
Veloso, M; Estevão, N; Ferreira, P; Rodrigues, R; Costa, C T; Barahona, P
1997-01-01
This paper introduces an ongoing project towards the development of a new generation HIS, aiming at the integration of clinical and administrative information within a common framework. Its design incorporates explicit knowledge about domain objects and professional activities to be processed by the system together with related knowledge management services and act management services. The paper presents the conceptual model of the proposed HIS architecture, that supports a rich and fully integrated patient data model, enabling the implementation of a dynamic electronic patient record tightly coupled with computerised guideline knowledge bases.
Ontology-based knowledge management for personalized adverse drug events detection.
Cao, Feng; Sun, Xingzhi; Wang, Xiaoyuan; Li, Bo; Li, Jing; Pan, Yue
2011-01-01
Since Adverse Drug Event (ADE) has become a leading cause of death around the world, there arises high demand for helping clinicians or patients to identify possible hazards from drug effects. Motivated by this, we present a personalized ADE detection system, with the focus on applying ontology-based knowledge management techniques to enhance ADE detection services. The development of electronic health records makes it possible to automate the personalized ADE detection, i.e., to take patient clinical conditions into account during ADE detection. Specifically, we define the ADE ontology to uniformly manage the ADE knowledge from multiple sources. We take advantage of the rich semantics from the terminology SNOMED-CT and apply it to ADE detection via the semantic query and reasoning.
How To Manage the Emerging Generational Divide in the Contemporary Knowledge-Rich Workplace.
ERIC Educational Resources Information Center
Novicevic, Milorad M.; Buckley, M. Ronald
2001-01-01
Addresses the manager's dilemmas and options in resolving emerging latent intergenerational conflict in the contemporary knowledge-rich workplace. Topics include a theoretical framework for generational divide management; the polarization in task requirements; social and environmental factors; differences in employee needs and expectations; and…
ERIC Educational Resources Information Center
Petersen, Lori A.; McNeil, Nicole M.
2013-01-01
Educators often use concrete objects to help children understand mathematics concepts. However, findings on the effectiveness of concrete objects are mixed. The present study examined how two factors--perceptual richness and established knowledge of the objects--combine to influence children's counting performance. In two experiments, preschoolers…
78 FR 49760 - Submission for OMB Review; Comment Request
Federal Register 2010, 2011, 2012, 2013, 2014
2013-08-15
... transparent method for identifying high-quality programs that can receive continuing five-year grants without... will employ a mixed-methods design that integrates and layers administrative and secondary data sources, observational measures, and interviews to develop a rich knowledge base about what the DRS accomplishes and how...
ERIC Educational Resources Information Center
Wolf, Maryanne; Gottwald, Stephanie
2016-01-01
Maryanne Wolf's early literacy knowledge is based on her research into deep reading and on periods of enlightened linguistic processes. In her own rich language of conveyance, she brought great inspiration to the Montessori teachers at the Columbia, South Carolina conference. Her presentation on the research of early reading, the acquisition of…
Entrepreneurship Education in the Caribbean: Learning and Teaching Tools
ERIC Educational Resources Information Center
Pounder, Paul A.
2016-01-01
This article reports on research that took place over two academic years (September 2013-April 2015). It provides a rich understanding of entrepreneurship education based on experiential knowledge and best practices from five entrepreneurship educators who have all worked as consultants to entrepreneurs, advisors to the government on…
Multidimensionality of Cultural Practices: Implications for Culturally Relevant Science Education
ERIC Educational Resources Information Center
Ares, Nancy
2011-01-01
Alfred Schademan's close and systematic analysis of the sociohistorical and science-related practices developed by African American men goes a long way in disrupting deficit-based notions of such students' capabilities. The rich resources he identifies open many possibilities for connecting peer and classroom knowledges. This response offers some…
UMass at TREC WEB 2014: Entity Query Feature Expansion using Knowledge Base Links
2014-11-01
bears 270 sun tzu 274 golf instruction 291 sangre de cristo mountains 263 evidence for evolution 300 how to find the mean 262 balding cure 280 view my...internet history 294 flowering plants (b) Worst Query Title 264 tribe formerly living in alabama 295 how to tie a windsor knot 283 hayrides in pa 252...work we leverage the rich semantic knowledge available through these links to understand relevance of documents for a query. We fo- cus on the ad hoc
ERIC Educational Resources Information Center
Brebner, Chris; Jovanovic, Jessie; Lawless, Angela; Young, Jessica
2016-01-01
Young children need rich learning experiences to maximize their potential. Early childhood educators (ECEs) working in childcare have knowledge of individual children as well as skills and professional knowledge that afford opportunities to provide language-rich environments for learning. To successfully work in partnership with ECEs,…
Towards a Knowledge-Rich Learning Environment in Preparatory Secondary Education
ERIC Educational Resources Information Center
van Schaik, Martijn; van Oers, Bert; Terwel, Jan
2011-01-01
In this case study a novel educational programme for students in preparatory vocational education was studied. The research questions were: (1) Which teaching/learning processes occur in a simulated workplace using the concept of a "knowledge-rich" workplace? (2) What is the role of models and modelling in the teaching/learning…
Adaptive Grid Based Localized Learning for Multidimensional Data
ERIC Educational Resources Information Center
Saini, Sheetal
2012-01-01
Rapid advances in data-rich domains of science, technology, and business has amplified the computational challenges of "Big Data" synthesis necessary to slow the widening gap between the rate at which the data is being collected and analyzed for knowledge. This has led to the renewed need for efficient and accurate algorithms, framework,…
A Review and Perspective on Lean in Higher Education
ERIC Educational Resources Information Center
Balzer, William K.; Francis, David E.; Krehbiel, Timothy C.; Shea, Nicholas
2016-01-01
Purpose: The purpose of this paper is to synthesize the accumulated body of research on Lean in higher education, draw conclusions to help guide successful Lean implementations and propose future research directions to establish a rich base of knowledge that informs both practice and research. Design/methodology/approach This literature review…
Knowledge Maps for E-Literacy in ICT-Rich Learning Environments
ERIC Educational Resources Information Center
Taha, Ahmed
2005-01-01
The Web-based information and communication technology (w-ICT) has become a powerful means for delivery and dissemination of digitised information among the emerging virtual learning and business communities. The w-ICT has engendered a growing cybersphere paradigm to accommodate a huge mass of e-resources cast over the Web. Such abundance of…
ERIC Educational Resources Information Center
Robinson, Ann; Dailey, Debbie; Hughes, Gail; Cotabish, Alicia
2014-01-01
To develop Science, Technology, Engineering, and Mathematics (STEM) talents, both researchers and policy developers recommend that educators begin early. In this randomized study, we document the efficacy of teacher professional development and a rich problem-based inquiry curriculum to develop the science talent of elementary students. The…
Gene Isolation Using Degenerate Primers Targeting Protein Motif: A Laboratory Exercise
ERIC Educational Resources Information Center
Yeo, Brandon Pei Hui; Foong, Lian Chee; Tam, Sheh May; Lee, Vivian; Hwang, Siaw San
2018-01-01
Structures and functions of protein motifs are widely included in many biology-based course syllabi. However, little emphasis is placed to link this knowledge to applications in biotechnology to enhance the learning experience. Here, the conserved motifs of nucleotide binding site-leucine rich repeats (NBS-LRR) proteins, successfully used for the…
ERIC Educational Resources Information Center
Korsmo, John; Baker-Sennett, Jacquelyn; Nicholas, Trula
2009-01-01
One challenge experienced by many educators working in pre-professional programs involves designing courses to support students as they learn how to apply subject area knowledge to professional practice. This article describes a successful collaborative community-based project that contextualizes the often abstract and predominately linear…
Semantics of User Interface for Image Retrieval: Possibility Theory and Learning Techniques.
ERIC Educational Resources Information Center
Crehange, M.; And Others
1989-01-01
Discusses the need for a rich semantics for the user interface in interactive image retrieval and presents two methods for building such interfaces: possibility theory applied to fuzzy data retrieval, and a machine learning technique applied to learning the user's deep need. Prototypes developed using videodisks and knowledge-based software are…
Creating Electronic Learning Environments: Games, Flow, and the User Interface.
ERIC Educational Resources Information Center
Jones, Marshall G.
A difficult task in creating rich, exploratory interactive learning environments is building an environment that is truly engaging. Engagement can be defined as the nexus of intrinsic knowledge and/or interest and external stimuli that promote the initial interest in, and continued use of a computer-based learning environment. Complete and total…
Developing the next generation of forest ecosystem models
Christopher R. Schwalm; Alan R. Ek
2002-01-01
Forest ecology and management are model-rich areas for research. Models are often cast as either empirical or mechanistic. With evolving climate change, hybrid models gain new relevance because of their ability to integrate existing mechanistic knowledge with empiricism based on causal thinking. The utility of hybrid platforms results in the combination of...
Opening the Door for IT Leadership Opportunities: New Voices from the Field
ERIC Educational Resources Information Center
Drury, Marilyn
2009-01-01
The growth and increasing criticality of the CIO role in higher education suggests the importance of recognizing and understanding the characteristics of successful CIOs and the environments supporting their success, with the goal of developing new leaders. Although the literature, in general, provides a rich knowledge base concerning IT…
Ramaswami, Anu; Zimmerman, Julie B; Mihelcic, James R
2007-05-15
Knowledge transfer from the developing to the developed world is described in the domain of economics and governance for sustainable development. Three system areas are explored: the structure of commons governance institutions, the process of community-based participatory action research, and the role of microfinance and microenterprise for the development, adoption, and diffusion of sustainable technologies. Case studies from both the developed and developing world demonstrate the effectiveness of social networks and community cooperative strategies in a wide range of sectors. Developing world experiences are shown to be particularly rich in the application of local knowledge and social capital toward sustainable development.
NASA Astrophysics Data System (ADS)
Sabeur, Z. A.; Wächter, J.; Middleton, S. E.; Zlatev, Z.; Häner, R.; Hammitzsch, M.; Loewe, P.
2012-04-01
The intelligent management of large volumes of environmental monitoring data for early tsunami warning requires the deployment of robust and scalable service oriented infrastructure that is supported by an agile knowledge-base for critical decision-support In the TRIDEC project (TRIDEC 2010-2013), a sensor observation service bus of the TRIDEC system is being developed for the advancement of complex tsunami event processing and management. Further, a dedicated TRIDEC system knowledge-base is being implemented to enable on-demand access to semantically rich OGC SWE compliant hydrodynamic observations and operationally oriented meta-information to multiple subscribers. TRIDEC decision support requires a scalable and agile real-time processing architecture which enables fast response to evolving subscribers requirements as the tsunami crisis develops. This is also achieved with the support of intelligent processing services which specialise in multi-level fusion methods with relevance feedback and deep learning. The TRIDEC knowledge base development work coupled with that of the generic sensor bus platform shall be presented to demonstrate advanced decision-support with situation awareness in context of tsunami early warning and crisis management.
Complex learning: the role of knowledge, intelligence, motivation and learning strategies.
Castejón, Juan L; Gilar, Raquel; Pérez, Antonio M
2006-11-01
This work presents the main theories and models formulated with the purpose of offering a global overview on the acquisition of knowledge and skills involved in the initial development of expert competence. Setting from this background, we developed an empirical work whose main purpose is to define those factors in a complex learning situation such as chapter-sized in a knowledge-rich domain. The results obtained in a sample of Master students reveal that the several variables intervening, such as the qualitative organization of knowledge, intellectual ability, motivation, the deliberate use of strategies, and a rich learning environment, contribute in an independent way to provide an explanation for the acquired knowledge.
CARDS: A blueprint and environment for domain-specific software reuse
NASA Technical Reports Server (NTRS)
Wallnau, Kurt C.; Solderitsch, Anne Costa; Smotherman, Catherine
1992-01-01
CARDS (Central Archive for Reusable Defense Software) exploits advances in domain analysis and domain modeling to identify, specify, develop, archive, retrieve, understand, and reuse domain-specific software components. An important element of CARDS is to provide visibility into the domain model artifacts produced by, and services provided by, commercial computer-aided software engineering (CASE) technology. The use of commercial CASE technology is important to provide rich, robust support for the varied roles involved in a reuse process. We refer to this kind of use of knowledge representation systems as supporting 'knowledge-based integration.'
Bagella, Simonetta
2014-04-01
The objective of this study was to clarify the taxon surrogacy hypothesis relative to vascular plants and bryophytes. A literature review was conducted to obtain papers that met the following criteria: (i) they examined species richness values; or (ii) they evaluated the species richness within the same study sites, or under the same spatial variation conditions. Twenty-seven papers were accessed. The richness of the two taxa, compared in 32 cases, positively co-varied in about half of the comparisons. The response to the spatial variation in environmental or human-induced factors of the two taxa in terms of species richness was rather variable. Based on current knowledge, the main documented findings regard forest habitats and nival gradients. In forest habitats, co-variation in species richness is likely when similar environments are analysed and seems to be strengthened for boreal forests. Along the nival gradient, a different response in terms of richness of the two taxa suggests that vascular plants cannot be considered good surrogates for bryophytes. Copyright © 2014 Académie des sciences. Published by Elsevier SAS. All rights reserved.
Game-Based Assessment of Persistence
ERIC Educational Resources Information Center
DiCerbo, Kristen E.
2014-01-01
Interest in 21st century skills has brought concomitant interest in ways to teach and measure them. Games hold promise in these areas, but much of their potential has yet to be proven, and there are few examples of how to use the rich data from games to make inferences about players' knowledge, skills, and attributes. This article builds an…
ERIC Educational Resources Information Center
Feldhusen, John F.; And Others
1992-01-01
The COMET summer residential program at Purdue University (Indiana) offers gifted and talented youth in grades 4-6 a week of intensive study in a single content area. Courses stress specific problem-solving skills and development of a rich knowledge base. Extensive program evaluation by students, teachers, counselors, and parents was highly…
Come on Down ... The Prize Is Right in Your Classroom
ERIC Educational Resources Information Center
Butterworth, William T.; Coe, Paul R.
2004-01-01
"The Price is Right" ("TPIR") is a rich source of examples of applied probability, combinatorics, and game theory. While some of the games played on stage by individual contestants stress a knowledge of pricing, many are also heavily based on probability. "TPIR" stage games are a treasury of interesting modules that can be effective learning tools…
Mechanisms Affecting the Sustainability and Scale-up of a System-Wide Numeracy Reform
ERIC Educational Resources Information Center
Bobis, Janette
2011-01-01
With deliberate system-level reform now being acted upon around the world, both successful and unsuccessful cases provide a rich source of knowledge from which we can learn to improve large-scale reform. Research surrounding the effectiveness of a theory-based system-wide numeracy reform operating in primary schools across Australia is examined to…
ERIC Educational Resources Information Center
McBride, Brent A.; Groves, Melissa; Barbour, Nancy; Horm, Diane; Stremmel, Andrew; Lash, Martha; Bersani, Carol; Ratekin, Cynthia; Moran, James; Elicker, James; Toussaint, Susan
2012-01-01
Research Findings: University-based child development laboratory programs have a long and rich history of supporting teaching, research, and outreach activities in the child development/early childhood education fields. Although these programs were originally developed in order to conduct research on children and families to inform policy and…
Hip-Hop Culture in College Students' Lives: Elements, Embodiment, and Higher Edutainment
ERIC Educational Resources Information Center
Petchauer, Emery
2011-01-01
College campuses have become rich sites of hip-hop culture and knowledge production. Despite the attention that campus personnel and researchers have paid to student life, the field of higher education has often misunderstood the ways that hip-hop culture exists in college students' lives. Based upon in-depth interviews, observations of…
ERIC Educational Resources Information Center
Schroeder, Larissa Bucchi
2011-01-01
Expertise and expert performance has long been a rich area of research. Experts differ from novices in several ways including the depth of their knowledge base, the ability to detect and recognize salient features of problems, more skilled and accurate performance, and strong self-monitoring skills. Advances in neuroscience methods such as…
ERIC Educational Resources Information Center
Reich, Warren Thomas
1988-01-01
Advocates that health-care ethics should start with a knowledge of moral reality based on experience, with patterns of moral behavior expressed not in principles, but in models, images, stories, myths, and paradigms. Notes that this approach offers a rich potential for exchange and collaboration between ethical and communication theories. (SR)
Not so Simple: The Problem with "Evidence-Based Practice" and the EEF Toolkit
ERIC Educational Resources Information Center
Wrigley, Terry
2016-01-01
There are increasing calls for policy and practice to be "evidence informed." At surface value, there may appear much to commend such an approach. However, it is important to understand that "evidence" and "knowledge" are being mobilised in very particular ways. The danger is that rather than promote a rich and lively…
Reasoning about procedural knowledge
NASA Technical Reports Server (NTRS)
Georgeff, M. P.
1985-01-01
A crucial aspect of automated reasoning about space operations is that knowledge of the problem domain is often procedural in nature - that is, the knowledge is often in the form of sequences of actions or procedures for achieving given goals or reacting to certain situations. In this paper a system is described that explicitly represents and reasons about procedural knowledge. The knowledge representation used is sufficiently rich to describe the effects of arbitrary sequences of tests and actions, and the inference mechanism provides a means for directly using this knowledge to reach desired operational goals. Furthermore, the representation has a declarative semantics that provides for incremental changes to the system, rich explanatory capabilities, and verifiability. The approach also provides a mechanism for reasoning about the use of this knowledge, thus enabling the system to choose effectively between alternative courses of action.
Knowledge-based approach to video content classification
NASA Astrophysics Data System (ADS)
Chen, Yu; Wong, Edward K.
2001-01-01
A framework for video content classification using a knowledge-based approach is herein proposed. This approach is motivated by the fact that videos are rich in semantic contents, which can best be interpreted and analyzed by human experts. We demonstrate the concept by implementing a prototype video classification system using the rule-based programming language CLIPS 6.05. Knowledge for video classification is encoded as a set of rules in the rule base. The left-hand-sides of rules contain high level and low level features, while the right-hand-sides of rules contain intermediate results or conclusions. Our current implementation includes features computed from motion, color, and text extracted from video frames. Our current rule set allows us to classify input video into one of five classes: news, weather, reporting, commercial, basketball and football. We use MYCIN's inexact reasoning method for combining evidences, and to handle the uncertainties in the features and in the classification results. We obtained good results in a preliminary experiment, and it demonstrated the validity of the proposed approach.
Knowledge-based approach to video content classification
NASA Astrophysics Data System (ADS)
Chen, Yu; Wong, Edward K.
2000-12-01
A framework for video content classification using a knowledge-based approach is herein proposed. This approach is motivated by the fact that videos are rich in semantic contents, which can best be interpreted and analyzed by human experts. We demonstrate the concept by implementing a prototype video classification system using the rule-based programming language CLIPS 6.05. Knowledge for video classification is encoded as a set of rules in the rule base. The left-hand-sides of rules contain high level and low level features, while the right-hand-sides of rules contain intermediate results or conclusions. Our current implementation includes features computed from motion, color, and text extracted from video frames. Our current rule set allows us to classify input video into one of five classes: news, weather, reporting, commercial, basketball and football. We use MYCIN's inexact reasoning method for combining evidences, and to handle the uncertainties in the features and in the classification results. We obtained good results in a preliminary experiment, and it demonstrated the validity of the proposed approach.
NASA Astrophysics Data System (ADS)
Stimmelmayr, R.; Adams, B.; Harcharek, Q.; Pederson, M.; Brower, H., Jr.; Hepa, T.
2017-12-01
Hunter observations and many studies indicate that the Arctic is undergoing major changes in duration of seasonal sea ice extent and thickness, extreme weather patterns, more maritime traffic etc. Coupled to these environmental changes are noted changes in animal distribution, in migration routes and timing, in breeding season start, and arrival of new species to name just a few. The continuation of all these changes could negatively impact the rich marine mammal resources that are essential to Yupik and Iñupiat subsistence communities. The North Slope Borough Department of wildlife management community based marine mammal health research program aims to support the families and communities, as they, as in the past, continue to adapt to changing environmental conditions, changes in wildlife abundance and accessibility. Our program monitors the health of animals so we can detect diseases and contaminants early on that are of concern to people, provide veterinary medicine science based information to hunters regarding "healthy" and "hunter concern" catches, and address individual and "big picture" concerns about native food health and food security. Our collaborative work depends on IK and the sharing of knowledge. IK is an existing source of an integrated object and event-based data knowledge system with culturally rooted quantitative and qualitative aspects. It is characterized by built-in routine and periodic updating and comparison within a given spatial-temporal coverage (traditional use areas). It is the oldest on the ground wildlife health monitoring system of the Arctic. Hunters and communities provide in a meaningful spatial-temporal scale rich wildlife information and data on traditional subsistence resources. The IK based interpretation of ecological, physiological, behavioral, and pathological phenomena advances and expands western science based biological concepts.
A History of U.S. Navy Airborne and Shipboard Periscope Detection Radar Design and Development
2014-01-01
military applications were originally large ground-based units designed, developed, and employed by the British for detecting inbound German aircraft...evaluation (RDT&E) and the operational employment of PDR sensors has involved a rich and proud history of military endeavor. This history is embodied in...retire from the military and civilian workforce, their knowledge base, their memory, and the lessons learned become lost to subsequent generations
Treatment resistance and psychodynamic psychiatry: concepts psychiatry needs from psychoanalysis.
Plakun, Eric
2012-06-01
Over the last 30 years psychiatry and psychoanalysis have moved in substantially divergent directions. Psychiatry has become rich in methodology but conceptually limited, with a drift toward biological reductionism. Psychoanalysis has remained relatively limited in methodology, but conceptually rich. The rich methodology of psychiatry has led to major contributions in discovering gene by environment interactions, the importance of early adversity, and to recognition of the serious problem posed by treatment resistance. However, psychiatry's biologically reductionistic conceptual focus interferes with the development of a nuanced clinical perspective based on emerging knowledge that might help more treatment resistant patients become treatment responders. This article argues that recognition of the problem of treatment resistance in psychiatry creates a need for it to reconnect with the conceptual richness of psychoanalysis in order to improve patient care. Psychodynamic psychiatry is defined as the relevant intersection of psychiatry and psychoanalysis where this reconnection can occur. I will suggest selected aspects of psychoanalysis that are especially relevant to psychiatry in improving outcomes in work with treatment resistant patients.
Partner for More: Creating and Sustaining Collaboration to Support Campus-Based Rich Media
ERIC Educational Resources Information Center
Hancock, Mara
2010-01-01
Education in the 21st century is diverse not only in content and discipline but also in format and delivery. Today's students have access to a broad range of information, knowledge, ideas, and opinions well beyond their classroom. Never before have learners been able to interact so closely with instructors, mentors, subject-matter experts, and…
Fuzzy Logic as a Tool for Assessing Students' Knowledge and Skills
ERIC Educational Resources Information Center
Voskoglou, Michael Gr.
2013-01-01
Fuzzy logic, which is based on fuzzy sets theory introduced by Zadeh in 1965, provides a rich and meaningful addition to standard logic. The applications which may be generated from or adapted to fuzzy logic are wide-ranging and provide the opportunity for modeling under conditions which are imprecisely defined. In this article we develop a fuzzy…
DOE Office of Scientific and Technical Information (OSTI.GOV)
King-Hele, D.
1992-01-01
In this book, the author describes how orbital research developed to yield a rich harvest of knowledge about the earth and its atmosphere. King-Hele relates a personal account of this research based on analysis of satellite orbits between 1957 and 1990 conducted from the Royal Aircraft Establishment in Farnborough England. The early research methods used before the launch of Sputnik in 1957 are discussed.
The Role of Content Knowledge in Ill-Structured Problem Solving for High School Physics Students
ERIC Educational Resources Information Center
Milbourne, Jeff; Wiebe, Eric
2018-01-01
While Physics Education Research has a rich tradition of problem-solving scholarship, most of the work has focused on more traditional, well-defined problems. Less work has been done with ill-structured problems, problems that are better aligned with the engineering and design-based scenarios promoted by the Next Generation Science Standards. This…
ERIC Educational Resources Information Center
Malekoff, Andrew
2006-01-01
This popular text provides essential knowledge and skills for conducting creative, strengths-based group work with adolescents. A rich introduction to the field, enlivened by numerous illustrations from actual sessions, the book provides principles and guidelines for practice in a wide range of settings. The book covers all phases of group work,…
Bhutanese Students' Views of Nature of Science: a Case Study of Culturally Rich Country
NASA Astrophysics Data System (ADS)
Das, Pabi Maya; Faikhamta, Chatree; Punsuvon, Vittaya
2017-07-01
This study is aimed at exploring ninth-grade Bhutanese students' views of nature of science (NOS). A total of 389 students from middle secondary and higher secondary schools from the eastern, western, southern and central regions of Bhutan took part in this study. To generate a representative population, a stratified random sampling technique was used. An adopted and adapted version of the Students Understanding of Science and Scientific Inquiry (SUSSI) comprised Likert-type items, and open-ended questions were used as a research tool. Quantitative data were analysed using descriptive statistics, and the qualitative data were analysed and categorized into naïve, transitional and informed views. The results indicated that the majority of the Bhutanese students held naïve views on sociocultural embeddedness, scientific laws, scientific theories and science as a body of knowledge. The study has an implication for curriculum developers and teaching professionals, particularly in culturally rich countries, that explicit instruction of NOS should be reframed based on students' cultural backgrounds and their indigenous knowledge.
Discovering indigenous science: Implications for science education
NASA Astrophysics Data System (ADS)
Snively, Gloria; Corsiglia, John
2001-01-01
Indigenous science relates to both the science knowledge of long-resident, usually oral culture peoples, as well as the science knowledge of all peoples who as participants in culture are affected by the worldview and relativist interests of their home communities. This article explores aspects of multicultural science and pedagogy and describes a rich and well-documented branch of indigenous science known to biologists and ecologists as traditional ecological knowledge (TEK). Although TEK has been generally inaccessible, educators can now use a burgeoning science-based TEK literature that documents numerous examples of time-proven, ecologically relevant, and cost effective indigenous science. Disputes regarding the universality of the standard scientific account are of critical importance for science educators because the definition of science is a de facto gatekeeping device for determining what can be included in a school science curriculum and what cannot. When Western modern science (WMS) is defined as universal it does displace revelation-based knowledge (i.e., creation science); however, it also displaces pragmatic local indigenous knowledge that does not conform with formal aspects of the standard account. Thus, in most science classrooms around the globe, Western modern science has been taught at the expense of indigenous knowledge. However, because WMS has been implicated in many of the world's ecological disasters, and because the traditional wisdom component of TEK is particularly rich in time-tested approaches that foster sustainability and environmental integrity, it is possible that the universalist gatekeeper can be seen as increasingly problematic and even counter productive. This paper describes many examples from Canada and around the world of indigenous people's contributions to science, environmental understanding, and sustainability. The authors argue the view that Western or modern science is just one of many sciences that need to be addressed in the science classroom. We conclude by presenting instructional strategies that can help all science learners negotiate border crossings between Western modern science and indigenous science.
Kim, Min Ju; Kim, Kyung Won
2015-10-01
Calcium is important but deficient in diets of young adult women. This study aimed to examine if cognitive factors and eating behaviors differ according to calcium intake based on the Social Cognitive Theory. Subjects were female college students in Seoul, Korea. Three hundred students completed the questionnaire regarding calcium intake, nutrition knowledge, outcome expectations, self-efficacy and eating behaviors. Data on 240 students were analyzed using t-test or χ(2)-test. Subjects were categorized into two groups, high calcium intake (HC, ≥ 650 mg/day) and low calcium intake (LC, < 650 mg/day), according to recommended intakes of calcium for women aged 19-29 years. The LC group constituted 77.9% of total subjects. Nutrition knowledge was not different according to calcium intake. Three out of 12 outcome expectations items were significantly different between the HC and LC groups. Subjects in the HC group agreed more strongly with the practical benefits of consuming calcium-rich foods, including 'taste' (P < 0.01) and 'going well with other snacks' (P < 0.05), compared to those in the LC group. Negative expectations of 'indigestion' were stronger in the LC group than HC group (P < 0.001). Among self-efficacy items, perceived ability of 'eating dairy foods for snacks' (P < 0.001), 'eating dairy foods every day' (P < 0.01), and 'eating calcium-rich side dishes at meals' (P < 0.05) differed significantly between the HC and LC groups. Eating behaviors including more frequent consumption of dairy foods, fruits or fruit juice (P < 0.001), anchovy, seaweeds, green vegetables, protein-rich foods (P < 0.05), and less frequent consumption of sweets or soft drinks (P < 0.01) were significantly related to calcium intake. This study found that outcome expectations, self-efficacy in consuming calcium-rich foods, and eating behaviors are important in explaining calcium intake. Nutrition education needs to address practical benefits, reduce negative expectations of calcium-rich foods, increase self-efficacy, and modify eating behaviors contributing to calcium intake.
Continuity and change: the interpretation of illness in an Anishinaabe (Ojibway) community.
Garro, L C
1990-12-01
Rich descriptions of Anishinaabe medical knowledge and the cultural meanings associated with illness are available in the anthropological literature, especially in the writings of A.I. Hallowell. Most of this work is based on fieldwork carried out prior to 1940 and was often motivated by a desire to reconstruct the pre-contact situation. Since that time, there have been numerous changes affecting health status and health care. This paper examines lay medical knowledge in a contemporary Canadian Anishinaabeg community, with particular attention to change and continuity in the way people explain and respond to the occurrence of illness.
Hippocampome.org: a knowledge base of neuron types in the rodent hippocampus.
Wheeler, Diek W; White, Charise M; Rees, Christopher L; Komendantov, Alexander O; Hamilton, David J; Ascoli, Giorgio A
2015-09-24
Hippocampome.org is a comprehensive knowledge base of neuron types in the rodent hippocampal formation (dentate gyrus, CA3, CA2, CA1, subiculum, and entorhinal cortex). Although the hippocampal literature is remarkably information-rich, neuron properties are often reported with incompletely defined and notoriously inconsistent terminology, creating a formidable challenge for data integration. Our extensive literature mining and data reconciliation identified 122 neuron types based on neurotransmitter, axonal and dendritic patterns, synaptic specificity, electrophysiology, and molecular biomarkers. All ∼3700 annotated properties are individually supported by specific evidence (∼14,000 pieces) in peer-reviewed publications. Systematic analysis of this unprecedented amount of machine-readable information reveals novel correlations among neuron types and properties, the potential connectivity of the full hippocampal circuitry, and outstanding knowledge gaps. User-friendly browsing and online querying of Hippocampome.org may aid design and interpretation of both experiments and simulations. This powerful, simple, and extensible neuron classification endeavor is unique in its detail, utility, and completeness.
Benthic harpacticoid copepods of Jiaozhou Bay, Qingdao
NASA Astrophysics Data System (ADS)
Ma, Lin; Li, Xinzheng
2017-09-01
The species richness of benthic harpacticoid copepod fauna in Jiaozhou Bay, Qingdao, on the southern coast of Shandong Peninsula, has not been comprehensively studied. We present a preliminary inventory of species for this region based on material found in nine sediment samples collected from 2011 to 2012. Our list includes 15 species belonging to 15 genera in 9 families, the most speciose family was the Miraciidae Dana, 1846 (seven species); all other families were represented by single species only. Sediment characteristics and depth are determined to be important environmental determinants of harpacticoid distribution in this region. We briefly detail the known distributions of species and provide a key to facilitate their identification. Both harpacticoid species richness and the species/genus ratio in Jiaozhou Bay are lower than in Bohai Gulf and Gwangyang Bay. The poor knowledge of the distribution of benthic harpacticoids, in addition to low sampling effort in Jiaozhou Bay, likely contribute to low species richness.
Global diversity patterns in sandy beach macrofauna: a biogeographic analysis.
Barboza, Francisco Rafael; Defeo, Omar
2015-09-28
Unlike the advances generated on land, the knowledge of global diversity patterns in marine ecosystems is limited to a small number of studies. For sandy beaches, which dominate the world's ocean shores, previous meta-analyses highlighted the role of beach morphodynamics in explaining species richness patterns. Oceanographic variables and historical processes have not been considered, even though they could be main predictors of community structure. Our work, based on 256 sandy beaches around the world, analysed species richness considering for the first time temperature, salinity and primary productivity. Biogeographic units (realms, provinces and ecoregions) were used to incorporate historical factors in modelling processes. Ecoregions, which implicitly include isolation and coastal complexity among other historical geographic factors, best represented trends in species richness worldwide. Temperature was a main predictor of species richness, which increased from temperate to tropical sandy beaches. Species richness increased with tide range and towards wide beaches with gentle slopes and fine grains, which is consistent with the hypothesis that habitat availability has an important role in structuring sandy beach communities. The role of temperature and habitat availability suggests that ocean warming and sea level rise could affect the distribution of obligate species living in these narrow ecosystems.
Global diversity patterns in sandy beach macrofauna: a biogeographic analysis
Rafael Barboza, Francisco; Defeo, Omar
2015-01-01
Unlike the advances generated on land, the knowledge of global diversity patterns in marine ecosystems is limited to a small number of studies. For sandy beaches, which dominate the world’s ocean shores, previous meta-analyses highlighted the role of beach morphodynamics in explaining species richness patterns. Oceanographic variables and historical processes have not been considered, even though they could be main predictors of community structure. Our work, based on 256 sandy beaches around the world, analysed species richness considering for the first time temperature, salinity and primary productivity. Biogeographic units (realms, provinces and ecoregions) were used to incorporate historical factors in modelling processes. Ecoregions, which implicitly include isolation and coastal complexity among other historical geographic factors, best represented trends in species richness worldwide. Temperature was a main predictor of species richness, which increased from temperate to tropical sandy beaches. Species richness increased with tide range and towards wide beaches with gentle slopes and fine grains, which is consistent with the hypothesis that habitat availability has an important role in structuring sandy beach communities. The role of temperature and habitat availability suggests that ocean warming and sea level rise could affect the distribution of obligate species living in these narrow ecosystems. PMID:26411697
BIM-Based E-Procurement: An Innovative Approach to Construction E-Procurement
2015-01-01
This paper presents an innovative approach to e-procurement in construction, which uses building information models (BIM) to support the construction procurement process. The result is an integrated and electronic instrument connected to a rich knowledge base capable of advanced operations and able to strengthen transaction relationships and collaboration throughout the supply chain. The BIM-based e-procurement prototype has been developed using distinct existing electronic solutions and an IFC server and was tested in a pilot case study, which supported further discussions of the results of the research. PMID:26090518
ERIC Educational Resources Information Center
Hare, Mary; Jones, Michael; Thomson, Caroline; Kelly, Sarah; McRae, Ken
2009-01-01
An increasing number of results in sentence and discourse processing demonstrate that comprehension relies on rich pragmatic knowledge about real-world events, and that incoming words incrementally activate such knowledge. If so, then even outside of any larger context, nouns should activate knowledge of the generalized events that they denote or…
Nagata, Koji
2010-01-01
Peptides and proteins with similar amino acid sequences can have different biological functions. Knowledge of their three-dimensional molecular structures is critically important in identifying their functional determinants. In this review, I describe the results of our and other groups' structure-based functional characterization of insect insulin-like peptides, a crustacean hyperglycemic hormone-family peptide, a mammalian epidermal growth factor-family protein, and an intracellular signaling domain that recognizes proline-rich sequence.
ERIC Educational Resources Information Center
Jih, Huecyhing Janice; Lin, Yenjen; Wu, Szuchien Sofia
The K-12 Gas Station is a national World Wide Web site in Taiwan that serves as the educational portal that provides teachers, parents, pupils, and public communities with rich content for all subject matters in grades K-12. The K-12 Gas Station plays a critical role in the efforts to build up a technology-based learning environment to help…
ERIC Educational Resources Information Center
Flory, Sara Barnard; Burns, Rebecca West
2017-01-01
Similar to other teacher education disciplines, Physical Education Teacher Education (PETE) must adjust to calls for clinically rich teacher preparation because knowledge learned in PETE does not easily transfer to cultures of schools, classrooms, and gymnasia. Opportunity exists to understand more about clinically rich PETE courses, particularly…
MoFvAb: Modeling the Fv region of antibodies
Bujotzek, Alexander; Fuchs, Angelika; Qu, Changtao; Benz, Jörg; Klostermann, Stefan; Antes, Iris; Georges, Guy
2015-01-01
Knowledge of the 3-dimensional structure of the antigen-binding region of antibodies enables numerous useful applications regarding the design and development of antibody-based drugs. We present a knowledge-based antibody structure prediction methodology that incorporates concepts that have arisen from an applied antibody engineering environment. The protocol exploits the rich and continuously growing supply of experimentally derived antibody structures available to predict CDR loop conformations and the packing of heavy and light chain quickly and without user intervention. The homology models are refined by a novel antibody-specific approach to adapt and rearrange sidechains based on their chemical environment. The method achieves very competitive all-atom root mean square deviation values in the order of 1.5 Å on different evaluation datasets consisting of both known and previously unpublished antibody crystal structures. PMID:26176812
Rosero-Toro, Jeison Herley; Romero-Duque, Luz Piedad; Santos-Fita, Dídac; Ruan-Soto, Felipe
2018-03-22
In Colombia, ethnobotanical studies regarding plant cultural significance (CS) in tropical dry forests are scarce and mainly focused on the Caribbean region. Different authors have indicated that the plants with the most uses are those of greater cultural importance. Additionally, gender differences in knowledge and interest in natural resources has been widely recorded. This study evaluated the cultural significance of plants in the Doche community, in the Department of Huila. Furthermore, it evaluates the richness of plant knowledge among local inhabitants, looking for testing the hypothesis that the CS of plants positively correlates to the number of uses people inform about, and that there are significant differences on the richness of ethnobotanical knowledge between men and women in this community. The ethnobotanical categories: "food," "condiment," "economy," "fodder," "firewood," "timber", "medicine," and "others" were established to carry out semi-structured interviews, social cartography, and ethnobotanical walks. The frequency of mention was calculated as a measure of CS. The richness of knowledge of each collaborator was obtained. Non-parametric tests were performed to determine whether differences between the numbers of mentioned species existed between genders and ethnobotanical categories. Finally, Pearson correlation tests determined the relationship between CS and the number of ethnobotanical categories. A hundred useful species were registered in crops and forests. The most abundant categories were medicinal (45 species), firewood (30), and fodder (28). The most culturally significant species according to frequency of mention were Pseudosamanea guachapele, Guazuma ulmifolia, Manihot esculenta, and Musa balbisiana. The species with the most registered uses (five) were Guazuma ulmifolia and Gliricidia sepium. We found a correlation between CS and the number of uses per ethnobotanical category, but no significant difference between genders regarding ethnobotanical knowledge. Frequency of mention provides relevant information about the CS of species. Furthermore, it aids to establish sustainable use of tropical dry forests without loss of resources parting from strategies designed from within the Doche community and based on their ethnobotanical knowledge. We found that the number of uses of a plant is correlated with its degree of cultural importance. On the other hand, no significant differences were found between genders regarding ethnobotanical knowledge; that is, both men and women have similar roles in the community, which allows them to recognize the same uses per species.
Oral Skills and Knowledge of Languages: A Resource in Development.
ERIC Educational Resources Information Center
Negussie, Birgit
Ethiopia is a country with an old and rich oral tradition. The older generation is more knowledgeable than the younger in oral literature, and there is a need to document such knowledge before it is lost. Traditional health knowledge has come into focus as self-care for ailments has become more prevalent. Indigenous knowledge and its transmission…
NASA Astrophysics Data System (ADS)
Wu, Ying-Tien
2013-10-01
This study aims to provide insights into the role of learners' knowledge structures about a socio-scientific issue (SSI) in their informal reasoning on the issue. A total of 42 non-science major university students' knowledge structures and informal reasoning were assessed with multidimensional analyses. With both qualitative and quantitative analyses, this study revealed that those students with more extended and better-organized knowledge structures, as well as those who more frequently used higher-order information processing modes, were more oriented towards achieving a higher-level informal reasoning quality. The regression analyses further showed that the "richness" of the students' knowledge structures explained 25 % of the variation in their rebuttal construction, an important indicator of reasoning quality, indicating the significance of the role of students' sophisticated knowledge structure in SSI reasoning. Besides, this study also provides some initial evidence for the significant role of the "core" concept within one's knowledge structure in one's SSI reasoning. The findings in this study suggest that, in SSI-based instruction, science instructors should try to identify students' core concepts within their prior knowledge regarding the SSI, and then they should try to guide students to construct and structure relevant concepts or ideas regarding the SSI based on their core concepts. Thus, students could obtain extended and well-organized knowledge structures, which would then help them achieve better learning transfer in dealing with SSIs.
Chasin, Rachel; Rumshisky, Anna; Uzuner, Ozlem; Szolovits, Peter
2014-01-01
Objective To evaluate state-of-the-art unsupervised methods on the word sense disambiguation (WSD) task in the clinical domain. In particular, to compare graph-based approaches relying on a clinical knowledge base with bottom-up topic-modeling-based approaches. We investigate several enhancements to the topic-modeling techniques that use domain-specific knowledge sources. Materials and methods The graph-based methods use variations of PageRank and distance-based similarity metrics, operating over the Unified Medical Language System (UMLS). Topic-modeling methods use unlabeled data from the Multiparameter Intelligent Monitoring in Intensive Care (MIMIC II) database to derive models for each ambiguous word. We investigate the impact of using different linguistic features for topic models, including UMLS-based and syntactic features. We use a sense-tagged clinical dataset from the Mayo Clinic for evaluation. Results The topic-modeling methods achieve 66.9% accuracy on a subset of the Mayo Clinic's data, while the graph-based methods only reach the 40–50% range, with a most-frequent-sense baseline of 56.5%. Features derived from the UMLS semantic type and concept hierarchies do not produce a gain over bag-of-words features in the topic models, but identifying phrases from UMLS and using syntax does help. Discussion Although topic models outperform graph-based methods, semantic features derived from the UMLS prove too noisy to improve performance beyond bag-of-words. Conclusions Topic modeling for WSD provides superior results in the clinical domain; however, integration of knowledge remains to be effectively exploited. PMID:24441986
Pettepher, Cathleen C.; Lomis, Kimberly D.; Osheroff, Neil
2016-01-01
Physicians-in-training require skills and attitudes beyond medical knowledge in order to mature into successful clinicians. However, because assessments in pre-clerkship curricula historically have focused almost exclusively on medical knowledge, faculty contributions to early student development often have been limited. To address this challenge and enhance student progress, we re-designed our pre-clerkship curriculum to include settings in which diverse facets of student performance could be observed and fostered. Concurrently, we transitioned to an assessment strategy focused on competency-based milestones. The implementation of this strategy has allowed pre-clerkship science faculty to provide early-stage students with rich holistic feedback designed to stimulate their professional growth. PMID:27752401
Pettepher, Cathleen C; Lomis, Kimberly D; Osheroff, Neil
2016-09-01
Physicians-in-training require skills and attitudes beyond medical knowledge in order to mature into successful clinicians. However, because assessments in pre-clerkship curricula historically have focused almost exclusively on medical knowledge, faculty contributions to early student development often have been limited. To address this challenge and enhance student progress, we re-designed our pre-clerkship curriculum to include settings in which diverse facets of student performance could be observed and fostered. Concurrently, we transitioned to an assessment strategy focused on competency-based milestones. The implementation of this strategy has allowed pre-clerkship science faculty to provide early-stage students with rich holistic feedback designed to stimulate their professional growth.
PROUST: Knowledge-Based Program Understanding.
1983-08-01
undeniably yes. If anything, PROUST is the minimum that is required! The basis for this conclusion is twofold: 1. In Artificial Intelligence research...Role of Plans in Intellegent Teaching Systems. In Brown, J. S. and Sleeman, D. (editors), Intellegent Tutoring Systems. New York. 1981. [8] Goldstein, I...95, 1978. (12] Rich, C. A Formal Representation for Plans in the Programmer’s Apprentice. In Proc. of the Seventh Int. Joint Conf. on Artificial
ERIC Educational Resources Information Center
Lopez, Gerardo R.; Vazquez, Vanessa A.
2006-01-01
This qualitative research study aims to provide rich narratives of parental involvement in households of newcomer Latino immigrants in the Midwest. A total of 20 families participated in this 4-month research study. Findings suggest that parents do get involved in traditional ways but view "consejos" (the giving of sage advice) as a form of…
ERIC Educational Resources Information Center
Deane, Paul; Lawless, René R.; Li, Chen; Sabatini, John; Bejar, Isaac I.; O'Reilly, Tenaha
2014-01-01
We expect that word knowledge accumulates gradually. This article draws on earlier approaches to assessing depth, but focuses on one dimension: richness of semantic knowledge. We present results from a study in which three distinct item types were developed at three levels of depth: knowledge of common usage patterns, knowledge of broad topical…
ERIC Educational Resources Information Center
Williams, John; Lockley, John
2012-01-01
Research has shown that one of the factors that enable effective teachers is their rich "Pedagogical Content Knowledge" (PCK), a special blend of content knowledge and pedagogical knowledge that is built up over time and experience. This form of professional knowledge, first theorized by Shulman (1987), is topic-specific, unique to each…
Morgan, Susan E; Cannon, Thomas
2003-11-01
In spite of increasing interest in the area of African Americans' willingness to donate organs, little empirical knowledge exists that can be used to create more effective public communication campaigns. In this study, 310 African Americans responded to seven knowledge items (based on myths and misconceptions about organ donation) shown in past studies to discriminate between donors and nondonors. The rate of accurate responses varied from 33% to 78% to individual knowledge items. Beliefs that the organ allocation system is inequitable (favoring whites and the rich) and the belief that donors pay extra medical bills strongly distinguished donors from nondonors. In addition, the information sources reported by African Americans willing to donate were more likely to include family members. Implications of these findings to the development of more effective organ donation campaigns targeting African Americans are offered.
Effect of plant diversity on the diversity of soil organic compounds.
El Moujahid, Lamiae; Le Roux, Xavier; Michalet, Serge; Bellvert, Florian; Weigelt, Alexandra; Poly, Franck
2017-01-01
The effect of plant diversity on aboveground organisms and processes was largely studied but there is still a lack of knowledge regarding the link between plant diversity and soil characteristics. Here, we analyzed the effect of plant identity and diversity on the diversity of extractible soil organic compounds (ESOC) using 87 experimental grassland plots with different levels of plant diversity and based on a pool of over 50 plant species. Two pools of low molecular weight organic compounds, LMW1 and LMW2, were characterized by GC-MS and HPLC-DAD, respectively. These pools include specific organic acids, fatty acids and phenolics, with more organic acids in LMW1 and more phenolics in LMW2. Plant effect on the diversity of LMW1 and LMW2 compounds was strong and weak, respectively. LMW1 richness observed for bare soil was lower than that observed for all planted soils; and the richness of these soil compounds increased twofold when dominant plant species richness increased from 1 to 6. Comparing the richness of LMW1 compounds observed for a range of plant mixtures and for plant monocultures of species present in these mixtures, we showed that plant species richness increases the richness of these ESOC mainly through complementarity effects among plant species associated with contrasted spectra of soil compounds. This could explain previously reported effects of plant diversity on the diversity of soil heterotrophic microorganisms.
Effect of plant diversity on the diversity of soil organic compounds
El Moujahid, Lamiae; Michalet, Serge; Bellvert, Florian; Weigelt, Alexandra; Poly, Franck
2017-01-01
The effect of plant diversity on aboveground organisms and processes was largely studied but there is still a lack of knowledge regarding the link between plant diversity and soil characteristics. Here, we analyzed the effect of plant identity and diversity on the diversity of extractible soil organic compounds (ESOC) using 87 experimental grassland plots with different levels of plant diversity and based on a pool of over 50 plant species. Two pools of low molecular weight organic compounds, LMW1 and LMW2, were characterized by GC-MS and HPLC-DAD, respectively. These pools include specific organic acids, fatty acids and phenolics, with more organic acids in LMW1 and more phenolics in LMW2. Plant effect on the diversity of LMW1 and LMW2 compounds was strong and weak, respectively. LMW1 richness observed for bare soil was lower than that observed for all planted soils; and the richness of these soil compounds increased twofold when dominant plant species richness increased from 1 to 6. Comparing the richness of LMW1 compounds observed for a range of plant mixtures and for plant monocultures of species present in these mixtures, we showed that plant species richness increases the richness of these ESOC mainly through complementarity effects among plant species associated with contrasted spectra of soil compounds. This could explain previously reported effects of plant diversity on the diversity of soil heterotrophic microorganisms. PMID:28166250
Zhou, Ming; Zhuang, Weiwei; Yuan, Yunyun; Li, Zhong; Cai, Yunqing
2016-01-01
To investigate university students' knowledge, attitudes and practice (KAP) regarding vitamin D. The students were requested to answer a questionnaire related to vitamin D and sun exposure. The consumption frequency of foods rich in vitamin D was assessed. Additionally, the intake of vitamin D-containing supplements was recorded. A medical university in Nanjing, China. Five hundred and fifteen medical students were included. The highest rate of correct responses for the quiz was 68·0 %, while the lowest was 9·6 %. Most students lacked sun exposure because they did not want to get tanned; 82·7 % of students used some sun protection and sunscreen use was more popular in the female group. The consumption frequency of foods rich in vitamin D was low and 5·6 % of the students used vitamin D supplements. The students' knowledge on vitamin D was derived mainly from the media and health professionals. Most of the students were interested to know more about vitamin D. The present study suggested that medical students had little knowledge and unfavourable behaviours. They should get more health education through the media and health professionals. It is advisable to increase their consumption of foods rich in vitamin D.
Hippocampome.org: a knowledge base of neuron types in the rodent hippocampus
Wheeler, Diek W; White, Charise M; Rees, Christopher L; Komendantov, Alexander O; Hamilton, David J; Ascoli, Giorgio A
2015-01-01
Hippocampome.org is a comprehensive knowledge base of neuron types in the rodent hippocampal formation (dentate gyrus, CA3, CA2, CA1, subiculum, and entorhinal cortex). Although the hippocampal literature is remarkably information-rich, neuron properties are often reported with incompletely defined and notoriously inconsistent terminology, creating a formidable challenge for data integration. Our extensive literature mining and data reconciliation identified 122 neuron types based on neurotransmitter, axonal and dendritic patterns, synaptic specificity, electrophysiology, and molecular biomarkers. All ∼3700 annotated properties are individually supported by specific evidence (∼14,000 pieces) in peer-reviewed publications. Systematic analysis of this unprecedented amount of machine-readable information reveals novel correlations among neuron types and properties, the potential connectivity of the full hippocampal circuitry, and outstanding knowledge gaps. User-friendly browsing and online querying of Hippocampome.org may aid design and interpretation of both experiments and simulations. This powerful, simple, and extensible neuron classification endeavor is unique in its detail, utility, and completeness. DOI: http://dx.doi.org/10.7554/eLife.09960.001 PMID:26402459
Strategies for Teaching Healthy Behavior Conceptual Knowledge
ERIC Educational Resources Information Center
Kloeppel, Tiffany; Kulinna, Pamela Hodges
2012-01-01
By definition, conceptual knowledge is rich in relationships and understanding the kind of knowledge that may be transferred between situations. Despite the lack of importance that Conceptual Physical Education has been given in previous physical education reform efforts, research findings have shown that Conceptual Physical Education along with…
Sharma, Uma Kanta; Pegu, Shyamanta
2011-06-02
Assam is very rich in plant biodiversity as well as in ethnic diversity and has a great traditional knowledge base in plant resources. It is inhabited by the largest number of tribes and they lead an intricate life totally dependent on forest plants. The Mising is the major section and second largest tribal community of Assam and have a rich tradition of religion and culture. Their religious practices and beliefs are based on supernaturalism. A study of the plants related to magico religious beliefs in Dobur Uie of Mising is carried out. The results revealed the use of 30 plants belonging to 23 families. All plant species are used both in religious purpose as well as in the treatment of different ailments. Details of the uses of plants and conservational practices employed in Dobur Uie are provided. Our findings on the use of plants in Dobur Uie ritual reflect that some plants are facing problems for survival and they need urgent conservation before their elimination. Because this elimination may threat the rich tradition of Mising culture. Most of the plants that are domesticated for different rituals are almost same in all Mising populated areas.
2011-01-01
Assam is very rich in plant biodiversity as well as in ethnic diversity and has a great traditional knowledge base in plant resources. It is inhabited by the largest number of tribes and they lead an intricate life totally dependent on forest plants. The Mising is the major section and second largest tribal community of Assam and have a rich tradition of religion and culture. Their religious practices and beliefs are based on supernaturalism. A study of the plants related to magico religious beliefs in Dobur Uie of Mising is carried out. The results revealed the use of 30 plants belonging to 23 families. All plant species are used both in religious purpose as well as in the treatment of different ailments. Details of the uses of plants and conservational practices employed in Dobur Uie are provided. Our findings on the use of plants in Dobur Uie ritual reflect that some plants are facing problems for survival and they need urgent conservation before their elimination. Because this elimination may threat the rich tradition of Mising culture. Most of the plants that are domesticated for different rituals are almost same in all Mising populated areas. PMID:21635766
2016-03-01
Medicinal plants provide indigenous and peasant communities worldwide with means to meet their healthcare needs. Homegardens often act as medicine cabinets, providing easily accessible medicinal plants for household needs. Social structure and social exchanges have been proposed as factors influencing the species diversity that people maintain in their homegardens. Here, we assess the association between the exchange of medicinal knowledge and plant material and medicinal plant richness in homegardens. Using Tsimane' Amazonian homegardens as a case study, we explore whether social organization shapes exchanges of medicinal plant knowledge and medicinal plant material. We also use network centrality measures to evaluate people's location and performance in medicinal plant knowledge and plant material exchange networks. Our results suggest that social organization, specifically kinship and gender relations, influences medicinal plant exchange patterns significantly. Homegardens total and medicinal plant species richness are related to gardeners' centrality in the networks, whereby people with greater centrality maintain greater plant richness. Thus, together with agroecological conditions, social relations among gardeners and the culturally specific social structure seem to be important determinants of plant richness in homegardens. Understanding which factors pattern general species diversity in tropical homegardens, and medicinal plant diversity in particular, can help policy makers, health providers, and local communities to understand better how to promote and preserve medicinal plants in situ. Biocultural approaches that are also gender sensitive offer a culturally appropriate means to reduce the global and local loss of both biological and cultural diversity.
Effects of Working Memory Capacity and Domain Knowledge on Recall for Grocery Prices.
Bermingham, Douglas; Gardner, Michael K; Woltz, Dan J
2016-01-01
Hambrick and Engle (2002) proposed 3 models of how domain knowledge and working memory capacity may work together to influence episodic memory: a "rich-get-richer" model, a "building blocks" model, and a "compensatory" model. Their results supported the rich-get-richer model, although later work by Hambrick and Oswald (2005) found support for a building blocks model. We investigated the effects of domain knowledge and working memory on recall of studied grocery prices. Working memory was measured with 3 simple span tasks. A contrast of realistic versus fictitious foods in the episodic memory task served as our manipulation of domain knowledge, because participants could not have domain knowledge of fictitious food prices. There was a strong effect for domain knowledge (realistic food-price pairs were easier to remember) and a moderate effect for working memory capacity (higher working memory capacity produced better recall). Furthermore, the interaction between domain knowledge and working memory produced a small but significant interaction in 1 measure of price recall. This supported the compensatory model and stands in contrast to previous research.
Learning Ecosystem Complexity: A Study on Small-Scale Fishers' Ecological Knowledge Generation
ERIC Educational Resources Information Center
Garavito-Bermúdez, Diana
2018-01-01
Small-scale fisheries are learning contexts of importance for generating, transferring and updating ecological knowledge of natural environments through everyday work practices. The rich knowledge fishers have of local ecosystems is the result of the intimate relationship fishing communities have had with their natural environments across…
Indigenous Knowledges and the Story of the Bean
ERIC Educational Resources Information Center
Brayboy, Bryan McKinley Jones; Maughn, Emma
2009-01-01
In this article, Bryan McKinley Jones Brayboy and Emma Maughn explore epistemic tensions within an Indigenous teacher preparation program where students question Western systems for creating, producing, reproducing, and valuing knowledge. Grounding their argument in a rich understanding of Indigenous Knowledge Systems, the authors advocate for an…
Structured Statistical Models of Inductive Reasoning
ERIC Educational Resources Information Center
Kemp, Charles; Tenenbaum, Joshua B.
2009-01-01
Everyday inductive inferences are often guided by rich background knowledge. Formal models of induction should aim to incorporate this knowledge and should explain how different kinds of knowledge lead to the distinctive patterns of reasoning found in different inductive contexts. This article presents a Bayesian framework that attempts to meet…
Domain-Specific Knowledge and General Skills in Reading Comprehension.
ERIC Educational Resources Information Center
Kuhara-Kojima, Keiko; Hatano, Giyoo
A study examined whether the reading comprehension of students with rich domain-specific knowledge will be better than that of students without it and whether assessed general skills will be correlated significantly with reading comprehension performance for students without specific knowledge, but negligible for the students with much specific…
Science, Ideology, and "Reading, Writing and Riches."
ERIC Educational Resources Information Center
Nock, David A.; Nelson, Randle W.
1982-01-01
Responds to criticisms of "Reading, Writing and Riches." Treats the following topics: the interrelationship between knowledge, science, and ideology; the multiplicity of paradigms within sociology; the continuing debate between idealists and materialists; the dimensions of socioeconomic class and power; and the use of the comparative…
Mohammadhassanzadeh, Hossein; Van Woensel, William; Abidi, Samina Raza; Abidi, Syed Sibte Raza
2017-01-01
Capturing complete medical knowledge is challenging-often due to incomplete patient Electronic Health Records (EHR), but also because of valuable, tacit medical knowledge hidden away in physicians' experiences. To extend the coverage of incomplete medical knowledge-based systems beyond their deductive closure, and thus enhance their decision-support capabilities, we argue that innovative, multi-strategy reasoning approaches should be applied. In particular, plausible reasoning mechanisms apply patterns from human thought processes, such as generalization, similarity and interpolation, based on attributional, hierarchical, and relational knowledge. Plausible reasoning mechanisms include inductive reasoning , which generalizes the commonalities among the data to induce new rules, and analogical reasoning , which is guided by data similarities to infer new facts. By further leveraging rich, biomedical Semantic Web ontologies to represent medical knowledge, both known and tentative, we increase the accuracy and expressivity of plausible reasoning, and cope with issues such as data heterogeneity, inconsistency and interoperability. In this paper, we present a Semantic Web-based, multi-strategy reasoning approach, which integrates deductive and plausible reasoning and exploits Semantic Web technology to solve complex clinical decision support queries. We evaluated our system using a real-world medical dataset of patients with hepatitis, from which we randomly removed different percentages of data (5%, 10%, 15%, and 20%) to reflect scenarios with increasing amounts of incomplete medical knowledge. To increase the reliability of the results, we generated 5 independent datasets for each percentage of missing values, which resulted in 20 experimental datasets (in addition to the original dataset). The results show that plausibly inferred knowledge extends the coverage of the knowledge base by, on average, 2%, 7%, 12%, and 16% for datasets with, respectively, 5%, 10%, 15%, and 20% of missing values. This expansion in the KB coverage allowed solving complex disease diagnostic queries that were previously unresolvable, without losing the correctness of the answers. However, compared to deductive reasoning, data-intensive plausible reasoning mechanisms yield a significant performance overhead. We observed that plausible reasoning approaches, by generating tentative inferences and leveraging domain knowledge of experts, allow us to extend the coverage of medical knowledge bases, resulting in improved clinical decision support. Second, by leveraging OWL ontological knowledge, we are able to increase the expressivity and accuracy of plausible reasoning methods. Third, our approach is applicable to clinical decision support systems for a range of chronic diseases.
NASA Astrophysics Data System (ADS)
Chamberlin, Shannon Marie
Scientific literacy is the foundation on which both California's currently adopted science standards and the recommended new standards for science are based (CDE, 2000; NRC, 2011). The Writing for Science Literacy (WSL) curriculum focuses on a series of writing and discussion tasks aimed at increasing students' scientific literacy. These tasks are based on three teaching and learning constructs: thought and language, scaffolding, and meta-cognition. To this end, WSL is focused on incorporating several strategies from the Rhetorical Approach to Reading, Writing, Listening and Speaking to engage students in activities designed to increase their scientific literacy; their ability to both identify an author's claim and evidence and to develop their own arguments based on a claim and evidence. Students participated in scaffolded activities designed to strengthen their written and oral discourse, hone their rhetorical skills and improve their meta-cognition. These activities required students to participate in both writing and discussion tasks to create meaning and build their science content knowledge. Students who participated in the WSL curriculum increased their written and oral fluency and were able to accurately write an evidence-based conclusion all while increasing their conceptual knowledge. This finding implies that a discourse rich curriculum can lead to an increase in scientific knowledge.
Gonzales, Gerard Bryan
2017-08-01
In vitro techniques are essential in elucidating biochemical mechanisms and for screening a wide range of possible bioactive candidates. The number of papers published reporting in vitro bioavailability and bioactivity of flavonoids and flavonoid-rich plant extracts is numerous and still increasing. However, even with the present knowledge on the bioavailability and metabolism of flavonoids after oral ingestion, certain inaccuracies still persist in the literature, such as the use of plant extracts to study bioactivity towards vascular cells. There is therefore a need to revisit, even question, these approaches in terms of their biological relevance. In this review, the bioavailability of flavonoid glycosides, the use of cell models for intestinal absorption and the use of flavonoid aglycones and flavonoid-rich plant extracts in in vitro bioactivity studies will be discussed. Here, we focus on the limitations of current in vitro systems and revisit the validity of some in vitro approaches, and not on the detailed mechanism of flavonoid absorption and bioactivity. Based on the results in the review, there is an apparent need for stricter guidelines on publishing data on in vitro data relating to the bioavailability and bioactivity of flavonoids and flavonoid-rich plant extracts.
NASA Astrophysics Data System (ADS)
Lin, Qinhao; Zhang, Guohua; Peng, Long; Bi, Xinhui; Wang, Xinming; Brechtel, Fred J.; Li, Mei; Chen, Duohong; Peng, Ping'an; Sheng, Guoying; Zhou, Zhen
2017-07-01
To investigate how atmospheric aerosol particles interact with chemical composition of cloud droplets, a ground-based counterflow virtual impactor (GCVI) coupled with a real-time single-particle aerosol mass spectrometer (SPAMS) was used to assess the chemical composition and mixing state of individual cloud residue particles in the Nanling Mountains (1690 m a. s. l. ), southern China, in January 2016. The cloud residues were classified into nine particle types: aged elemental carbon (EC), potassium-rich (K-rich), amine, dust, Pb, Fe, organic carbon (OC), sodium-rich (Na-rich) and Other
. The largest fraction of the total cloud residues was the aged EC type (49.3 %), followed by the K-rich type (33.9 %). Abundant aged EC cloud residues that mixed internally with inorganic salts were found in air masses from northerly polluted areas. The number fraction (NF) of the K-rich cloud residues increased within southwesterly air masses from fire activities in Southeast Asia. When air masses changed from northerly polluted areas to southwesterly ocean and livestock areas, the amine particles increased from 0.2 to 15.1 % of the total cloud residues. The dust, Fe, Pb, Na-rich and OC particle types had a low contribution (0.5-4.1 %) to the total cloud residues. Higher fraction of nitrate (88-89 %) was found in the dust and Na-rich cloud residues relative to sulfate (41-42 %) and ammonium (15-23 %). Higher intensity of nitrate was found in the cloud residues relative to the ambient particles. Compared with nonactivated particles, nitrate intensity decreased in all cloud residues except for dust type. To our knowledge, this study is the first report on in situ observation of the chemical composition and mixing state of individual cloud residue particles in China.
Landscape Visualisation on the Internet
NASA Astrophysics Data System (ADS)
Imhof, M. P.; Cox, M. T.; Harvey, D. W.; Heemskerk, G. E.; Pettit, C. J.
2012-07-01
The Victorian Resources Online (VRO) website (http://www.dpi.vic.gov.au/vro) is the principal means for accessing landscapebased information in Victoria. In this paper we introduce a range of online landscape visualisations that have been developed to enhance existing static web content around the nature and distribution of Victoria's landforms and soils as well as associated processes. Flash is used to develop online visualisations that include interactive landscape panoramas, animations of soil and landscape processes and videos of experts explaining features in the field as well as landscape "flyovers". The use of interactive visualisations adds rich information multimedia content to otherwise static pages and offers the potential to improve user's appreciation and understanding of soil and landscapes. Visualisation is becoming a key component of knowledge management activities associated with VRO - proving useful for both "knowledge capture" (from subject matter specialists) and "knowledge transfer" to a diverse user base. A range of useful visualisation products have been made available online, with varying degrees of interactivity and suited to a variety of users. The use of video files, animation and interactive visualisations is adding rich information content to otherwise static web pages. These information products offer new possibilities to enhance learning of landscapes and the effectiveness of these will be tested as the next phase of development.
Learning and Consolidation of New Spoken Words in Autism Spectrum Disorder
ERIC Educational Resources Information Center
Henderson, Lisa; Powell, Anna; Gaskell, M. Gareth; Norbury, Courtenay
2014-01-01
Autism spectrum disorder (ASD) is characterized by rich heterogeneity in vocabulary knowledge and word knowledge that is not well accounted for by current cognitive theories. This study examines whether individual differences in vocabulary knowledge in ASD might be partly explained by a difficulty with consolidating newly learned spoken words…
Building Faculty Capacity through the Learning Sciences
ERIC Educational Resources Information Center
Moy, Elizabeth; O'Sullivan, Gerard; Terlecki, Melissa; Jernstedt, Christian
2014-01-01
Discoveries in the learning sciences (especially in neuroscience) have yielded a rich and growing body of knowledge about how students learn, yet this knowledge is only half of the story. The other half is "know how," i.e. the application of this knowledge. For faculty members, that means applying the discoveries of the learning sciences…
ERIC Educational Resources Information Center
Li, Yongyan
2006-01-01
Despite the rich literature on disciplinary knowledge construction and multilingual scholars' academic literacy practices, little is known about how novice scholars are engaged in knowledge construction in negotiation with various target discourse communities. In this case study, with a focused analysis of a Chinese computer science doctoral…
ERIC Educational Resources Information Center
Kimmerer, Robin Wall
2012-01-01
Scientific ecological knowledge (SEK) is a powerful discipline for diagnosing and analyzing environmental degradation, but has been far less successful in devising sustainable solutions which lie at the intersection of nature and culture. Traditional ecological knowledge (TEK) of indigenous and local peoples is rich in prescriptions for the…
Improving Low-Income Preschoolers' Word and World Knowledge: The Effects of Content-Rich Instruction
ERIC Educational Resources Information Center
Neuman, Susan B.; Kaefer, Tanya; Pinkham, Ashley M.
2016-01-01
This study examined the efficacy of a shared book-reading approach to integrating literacy and science instruction. The purpose was to determine whether teaching science vocabulary using information text could improve low-income preschoolers' word knowledge, conceptual development, and content knowledge in the life sciences. Teachers in 17…
Leadership for a Technology-Rich Educational Environment.
ERIC Educational Resources Information Center
Riedl, Richard; Smith, Tracy; Ware, Anita; Wark, Alan; Yount, Peter
This paper emphasizes the importance of exploring the attitudes, skills, and knowledge that will enable individuals in educational leadership positions to function effectively and to provide support to create and maintain technology-rich educational systems. The discussion is guided by the following five elements, the understanding of which are…
Issues in the classification of disease instances with ontologies.
Burgun, Anita; Bodenreider, Olivier; Jacquelinet, Christian
2005-01-01
Ontologies define classes of entities and their interrelations. They are used to organize data according to a theory of the domain. Towards that end, ontologies provide class definitions (i.e., the necessary and sufficient conditions for defining class membership). In medical ontologies, it is often difficult to establish such definitions for diseases. We use three examples (anemia, leukemia and schizophrenia) to illustrate the limitations of ontologies as classification resources. We show that eligibility criteria are often more useful than the Aristotelian definitions traditionally used in ontologies. Examples of eligibility criteria for diseases include complex predicates such as ' x is an instance of the class C when at least n criteria among m are verified' and 'symptoms must last at least one month if not treated, but less than one month, if effectively treated'. References to normality and abnormality are often found in disease definitions, but the operational definition of these references (i.e., the statistical and contextual information necessary to define them) is rarely provided. We conclude that knowledge bases that include probabilistic and statistical knowledge as well as rule-based criteria are more useful than Aristotelian definitions for representing the predicates defined by necessary and sufficient conditions. Rich knowledge bases are needed to clarify the relations between individuals and classes in various studies and applications. However, as ontologies represent relations among classes, they can play a supporting role in disease classification services built primarily on knowledge bases.
Lu, Hsiao-Pei; Liu, Po-Yu; Wang, Yu-bin; Hsieh, Ji-Fan; Ho, Han-Chen; Huang, Shiao-Wei; Lin, Chung-Yen; Hsieh, Chih-hao; Yu, Hon-Tsen
2018-01-01
Mammalian herbivores rely on microbial activities in an expanded gut chamber to convert plant biomass into absorbable nutrients. Distinct from ruminants, small herbivores typically have a simple stomach but an enlarged cecum to harbor symbiotic microbes; however, knowledge of this specialized gut structure and characteristics of its microbial contents is limited. Here, we used leaf-eating flying squirrels as a model to explore functional characteristics of the cecal microbiota adapted to a high-fiber, toxin-rich diet. Specifically, environmental conditions across gut regions were evaluated by measuring mass, pH, feed particle size, and metabolomes. Then, parallel metagenomes and metatranscriptomes were used to detect microbial functions corresponding to the cecal environment. Based on metabolomic profiles, >600 phytochemical compounds were detected, although many were present only in the foregut and probably degraded or transformed by gut microbes in the hindgut. Based on metagenomic (DNA) and metatranscriptomic (RNA) profiles, taxonomic compositions of the cecal microbiota were dominated by bacteria of the Firmicutes taxa; they contained major gene functions related to degradation and fermentation of leaf-derived compounds. Based on functional compositions, genes related to multidrug exporters were rich in microbial genomes, whereas genes involved in nutrient importers were rich in microbial transcriptomes. In addition, genes encoding chemotaxis-associated components and glycoside hydrolases specific for plant beta-glycosidic linkages were abundant in both DNA and RNA. This exploratory study provides findings which may help to form molecular-based hypotheses regarding functional contributions of symbiotic gut microbiota in small herbivores with folivorous dietary habits. PMID:29354108
A history of the autonomic nervous system: part I: from Galen to Bichat.
Oakes, Peter C; Fisahn, Christian; Iwanaga, Joe; DiLorenzo, Daniel; Oskouian, Rod J; Tubbs, R Shane
2016-12-01
The development of our current understanding of the autonomic nervous system has a rich history with many international contributors. Although our thoughts of an autonomic nervous system arose with the Greeks, the evolution and final understanding of this neural network would not be fully realized until centuries later. Therefore, our current knowledge of this system is based on hundreds of years of hypotheses and testing and was contributed to by many historic figures.
Fuzziness In Approximate And Common-Sense Reasoning In Knowledge-Based Robotics Systems
NASA Astrophysics Data System (ADS)
Dodds, David R.
1987-10-01
Fuzzy functions, a major key to inexact reasoning, are described as they are applied to the fuzzification of robot co-ordinate systems. Linguistic-variables, a means of labelling ranges in fuzzy sets, are used as computationally pragmatic means of representing spatialization metaphors, themselves an extraordinarily rich basis for understanding concepts in orientational terms. Complex plans may be abstracted and simplified in a system which promotes conceptual planning by means of the orientational representation.
Hiiesalu, Inga; Pärtel, Meelis; Davison, John; Gerhold, Pille; Metsis, Madis; Moora, Mari; Öpik, Maarja; Vasar, Martti; Zobel, Martin; Wilson, Scott D
2014-07-01
Although experiments show a positive association between vascular plant and arbuscular mycorrhizal fungal (AMF) species richness, evidence from natural ecosystems is scarce. Furthermore, there is little knowledge about how AMF richness varies with belowground plant richness and biomass. We examined relationships among AMF richness, above- and belowground plant richness, and plant root and shoot biomass in a native North American grassland. Root-colonizing AMF richness and belowground plant richness were detected from the same bulk root samples by 454-sequencing of the AMF SSU rRNA and plant trnL genes. In total we detected 63 AMF taxa. Plant richness was 1.5 times greater belowground than aboveground. AMF richness was significantly positively correlated with plant species richness, and more strongly with below- than aboveground plant richness. Belowground plant richness was positively correlated with belowground plant biomass and total plant biomass, whereas aboveground plant richness was positively correlated only with belowground plant biomass. By contrast, AMF richness was negatively correlated with belowground and total plant biomass. Our results indicate that AMF richness and plant belowground richness are more strongly related with each other and with plant community biomass than with the plant aboveground richness measures that have been almost exclusively considered to date. © 2014 The Authors. New Phytologist © 2014 New Phytologist Trust.
Santiago, Faustino Hernández; Moreno, Jesús Pérez; Cázares, Beatriz Xoconostle; Suárez, Juan José Almaraz; Trejo, Enrique Ojeda; de Oca, Gerardo Mata Montes; Aguilar, Irma Díaz
2016-09-05
Mexico is an important global reservoir of biological and cultural richness and traditional knowledge of wild mushrooms. However, there is a high risk of loss of this knowledge due to the erosion of traditional human cultures which is related with the rapid acculturation linked to high migration of rural populations to cities and the U.S.A., and the loss of natural ecosystems. The Mixtec people, the third largest native group in Mexico only after the Nahua and the Maya, maintain ancient traditions in the use and knowledge of wild mushrooms. Paradoxically, there are few studies of the Mixtec ethnomycology. This study shows our ethnomycological research, mainly focused on knowledge and use of wild mushrooms in communities of the Mixteca Alta, in southeastern Mexico. We hypothesized that among the studied communities those with a combination of higher vegetation cover of natural pine and oak forests, lower soil erosion and higher economic margination had a greater richness and knowledge of wild mushrooms. Our study therefore aimed to record traditional knowledge, use, nomenclature and classification of wild mushrooms in four Mixtec communities and to analyze how these aspects vary according to environmental and cultural conditions among the studied communities. In order to analyze the cultural significance of wild mushrooms for the Mixtec people, 116 non-structured and semi-structured interviews were performed from 2009 to 2014. Information about the identified species, particularly the regional nomenclature and classification, their edibility, toxicity and ludic uses, the habitat of useful mushrooms, traditional recipes and criteria to differentiate between toxic and edible species, and mechanisms of knowledge transmission were studied. The research had the important particularity that the first author is Mixtec, native of the study area. A comparative qualitative analysis between the richness of fungal species used locally and the official information of the natural vegetation cover, soil erosion and economic marginalization in each of the studied communities was conducted. A total of 106 species of mushrooms were identified growing in pine and oak forest, deciduous tropical forest and grassland; among the identified mushrooms we recorded 26 species locally consumed, 18 considered toxic, 6 having ludic uses and the remaining 56 species not being used in the studied areas but some of them having potential as food (56 species) or medicine (28 species). We recorded that 80, 22 and 4 species are ectomycorrhizal, saprotrophic and parasites, respectively. Our study shows that a complex and accurate knowledge related with the use, nomenclature, classification, ecology, gastronomy of wild mushrooms has been developed by Mixtecs; and that there is a relation between natural vegetation cover, lower soil erosion and higher economic marginalization and richness, knowledge and use of mushrooms in the studied communites. Our study showed that conservation and adaptation of ancestral mycological knowledge survives mainly through oral transmition, maintenance of cultural identity, forest protection, preservation native language and also paradoxically through the current socieconomical marginality among the Mixtec people. We also found that those studied communities with a combination of higher vegetation cover of natural pine and oak forests, lower soil erosion and higher economic marginalization showed a greater richness and knowledge of wild mushrooms. Use and sustainable management of wild mushrooms can be an alternative for local integrated development, but local knowledge and traditional worldview should be included into the regional programs of Mixtec biocultural conservation.
Gradient-based reliability maps for ACM-based segmentation of hippocampus.
Zarpalas, Dimitrios; Gkontra, Polyxeni; Daras, Petros; Maglaveras, Nicos
2014-04-01
Automatic segmentation of deep brain structures, such as the hippocampus (HC), in MR images has attracted considerable scientific attention due to the widespread use of MRI and to the principal role of some structures in various mental disorders. In this literature, there exists a substantial amount of work relying on deformable models incorporating prior knowledge about structures' anatomy and shape information. However, shape priors capture global shape characteristics and thus fail to model boundaries of varying properties; HC boundaries present rich, poor, and missing gradient regions. On top of that, shape prior knowledge is blended with image information in the evolution process, through global weighting of the two terms, again neglecting the spatially varying boundary properties, causing segmentation faults. An innovative method is hereby presented that aims to achieve highly accurate HC segmentation in MR images, based on the modeling of boundary properties at each anatomical location and the inclusion of appropriate image information for each of those, within an active contour model framework. Hence, blending of image information and prior knowledge is based on a local weighting map, which mixes gradient information, regional and whole brain statistical information with a multi-atlas-based spatial distribution map of the structure's labels. Experimental results on three different datasets demonstrate the efficacy and accuracy of the proposed method.
Place-based and data-rich citizen science as a precursor for conservation action.
Haywood, Benjamin K; Parrish, Julia K; Dolliver, Jane
2016-06-01
Environmental education strategies have customarily placed substantial focus on enhancing ecological knowledge and literacy with the hope that, upon discovering relevant facts and concepts, participants will be better equipped to process and dissect environmental issues and, therefore, make more informed decisions. The assumption is that informed citizens will become active citizens--enthusiastically lobbying for, and participating in, conservation-oriented action. We surveyed and interviewed and used performance data from 432 participants in the Coastal Observation and Seabird Survey Team (COASST), a scientifically rigorous citizen science program, to explore measurable change in and links between understanding and action. We found that participation in rigorous citizen science was associated with significant increases in participant knowledge and skills; a greater connection to place and, secondarily, to community; and an increasing awareness of the relative impact of anthropogenic activities on local ecosystems specifically through increasing scientific understanding of the ecosystem and factors affecting it. Our results suggest that a place-based, data-rich experience linked explicitly to local, regional, and global issues can lead to measurable change in individual and collective action, expressed in our case study principally through participation in citizen science and community action and communication of program results to personal acquaintances and elected officials. We propose the following tenets of conservation literacy based on emergent themes and the connections between them explicit in our data: place-based learning creates personal meaning making; individual experience nested within collective (i.e., program-wide) experience facilitates an understanding of the ecosystem process and function at local and regional scales; and science-based meaning making creates informed concern (i.e., the ability to discern both natural and anthropogenic forcing), which allows individuals to develop a personalized prioritization schema and engage in conservation action. © 2016 Society for Conservation Biology.
Image processing and applications based on visualizing navigation service
NASA Astrophysics Data System (ADS)
Hwang, Chyi-Wen
2015-07-01
When facing the "overabundant" of semantic web information, in this paper, the researcher proposes the hierarchical classification and visualizing RIA (Rich Internet Application) navigation system: Concept Map (CM) + Semantic Structure (SS) + the Knowledge on Demand (KOD) service. The aim of the Multimedia processing and empirical applications testing, was to investigating the utility and usability of this visualizing navigation strategy in web communication design, into whether it enables the user to retrieve and construct their personal knowledge or not. Furthermore, based on the segment markets theory in the Marketing model, to propose a User Interface (UI) classification strategy and formulate a set of hypermedia design principles for further UI strategy and e-learning resources in semantic web communication. These research findings: (1) Irrespective of whether the simple declarative knowledge or the complex declarative knowledge model is used, the "CM + SS + KOD navigation system" has a better cognition effect than the "Non CM + SS + KOD navigation system". However, for the" No web design experience user", the navigation system does not have an obvious cognition effect. (2) The essential of classification in semantic web communication design: Different groups of user have a diversity of preference needs and different cognitive styles in the CM + SS + KOD navigation system.
Rijal, Arun
2008-11-25
Contribution of indigenous knowledge in developing more effective drugs with minimum or no side effects helped to realise importance of study of indigenous remedies and the conservation of biological resources. This study analysed indigenous knowledge regarding medicinal plants use among the Chepang communities from ward number 3 and 4 of Shaktikhor Village Development Committee located in the central mid hills of Nepal. Data were collected in a one-year period and included interviews with traditional healers and elders. Chepangs are rich in knowledge regarding use of different plants and were using a total 219 plant parts from 115 species including one mushroom (belonging 55 families) for medicinal uses. Out of these, 75 species had 118 different new medicinal uses and 18 of them were not reported in any previous documents from Nepal as medicinal plants. Spiritual belief, economy and limitation of alternative health facilities were cause of continuity of people's dependency on traditional healers. Change in socio-economic activities not only threatened traditional knowledge but also resource base of the area. Enforcement of local institution in management of forest resources and legitimating traditional knowledge and practices could help to preserve indigenous knowledge.
Weather, knowledge base and life-style
NASA Astrophysics Data System (ADS)
Bohle, Martin
2015-04-01
Why to main-stream curiosity for earth-science topics, thus to appraise these topics as of public interest? Namely, to influence practices how humankind's activities intersect the geosphere. How to main-stream that curiosity for earth-science topics? Namely, by weaving diverse concerns into common threads drawing on a wide range of perspectives: be it beauty or particularity of ordinary or special phenomena, evaluating hazards for or from mundane environments, or connecting the scholarly investigation with concerns of citizens at large; applying for threading traditional or modern media, arts or story-telling. Three examples: First "weather"; weather is a topic of primordial interest for most people: weather impacts on humans lives, be it for settlement, for food, for mobility, for hunting, for fishing, or for battle. It is the single earth-science topic that went "prime-time" since in the early 1950-ties the broadcasting of weather forecasts started and meteorologists present their work to the public, daily. Second "knowledge base"; earth-sciences are a relevant for modern societies' economy and value setting: earth-sciences provide insights into the evolution of live-bearing planets, the functioning of Earth's systems and the impact of humankind's activities on biogeochemical systems on Earth. These insights bear on production of goods, living conditions and individual well-being. Third "life-style"; citizen's urban culture prejudice their experiential connections: earth-sciences related phenomena are witnessed rarely, even most weather phenomena. In the past, traditional rural communities mediated their rich experiences through earth-centric story-telling. In course of the global urbanisation process this culture has given place to society-centric story-telling. Only recently anthropogenic global change triggered discussions on geoengineering, hazard mitigation, demographics, which interwoven with arts, linguistics and cultural histories offer a rich narrative of humankind's intersections with the geosphere. To gain public's curiosity for earth-science topics, thus to gain attention of various social groups that all have access to a high density of information, digestible rich messages are needed: earth-science story-telling has to weaves earth-science topics into culturally rich narrations of multiple forms offering a wide range of perspectives to which people can connect.
NASA Astrophysics Data System (ADS)
di Stefano, Marco; Paulsen, Jonas; Lien, Tonje G.; Hovig, Eivind; Micheletti, Cristian
2016-10-01
Combining genome-wide structural models with phenomenological data is at the forefront of efforts to understand the organizational principles regulating the human genome. Here, we use chromosome-chromosome contact data as knowledge-based constraints for large-scale three-dimensional models of the human diploid genome. The resulting models remain minimally entangled and acquire several functional features that are observed in vivo and that were never used as input for the model. We find, for instance, that gene-rich, active regions are drawn towards the nuclear center, while gene poor and lamina associated domains are pushed to the periphery. These and other properties persist upon adding local contact constraints, suggesting their compatibility with non-local constraints for the genome organization. The results show that suitable combinations of data analysis and physical modelling can expose the unexpectedly rich functionally-related properties implicit in chromosome-chromosome contact data. Specific directions are suggested for further developments based on combining experimental data analysis and genomic structural modelling.
Di Stefano, Marco; Paulsen, Jonas; Lien, Tonje G; Hovig, Eivind; Micheletti, Cristian
2016-10-27
Combining genome-wide structural models with phenomenological data is at the forefront of efforts to understand the organizational principles regulating the human genome. Here, we use chromosome-chromosome contact data as knowledge-based constraints for large-scale three-dimensional models of the human diploid genome. The resulting models remain minimally entangled and acquire several functional features that are observed in vivo and that were never used as input for the model. We find, for instance, that gene-rich, active regions are drawn towards the nuclear center, while gene poor and lamina associated domains are pushed to the periphery. These and other properties persist upon adding local contact constraints, suggesting their compatibility with non-local constraints for the genome organization. The results show that suitable combinations of data analysis and physical modelling can expose the unexpectedly rich functionally-related properties implicit in chromosome-chromosome contact data. Specific directions are suggested for further developments based on combining experimental data analysis and genomic structural modelling.
The DAFT/FADA Survey status and latest results
NASA Astrophysics Data System (ADS)
Guennou, L.
2011-12-01
We present here the latest results obtained from the American French collaboration called the Dark energy American French Team/French American DArk energy Team (DAFT/FADA). The goal of the DAFT/FADA collaboration is to carry out a weak lensing tomography survey of z = 0.4-0.9 rich clusters of galaxies. Unlike supernovae or other methods such as cluster of galaxy counts, weak lensing tomography is purely based on geometry and does not depend on knowledge of the physics of the objects used as distance indicators. In addition, the reason for analyzing observations in the direction of clusters is that the shear signal is enhanced by about 10 over the field. Our work will eventually contain results obtained on 91 rich clusters from the HST archive combined with ground based work to obtain photo-zs. This combination of photo-z and weak lensing tomography will enable us to constrain the equation of state of dark energy. We present here the latest results obtained so far in this study.
Support for At-Risk Girls: A School-Based Mental Health Nursing Initiative.
Adamshick, Pamela
2015-09-01
Mental health problems often go undiagnosed or unaddressed until a crisis or extreme event brings the problem to the forefront. Youth are particularly at risk for lack of identification and treatment in regard to mental health issues. This article describes an advanced nursing practice mental health initiative for at-risk teenage girls based on Hildegard Peplau's nursing theory, group process, and healing through holistic health approaches. A support group, RICHES, was developed with focus on core components of relationships, identity, communication, health, esteem, and support. The acronym RICHES was chosen as the name of the support group. Selected themes and issues addressed in this school-based support group are illustrated in case vignettes. Through a collaborative approach with the community and school, this practice initiative presents a unique healing process that extends knowledge in the realm of intervention with at-risk teenage girls. Further research is needed on the efficacy of support groups to modify risk factors and to address goals for primary prevention in at-risk teenage girls. © The Author(s) 2014.
Maier, Dieter; Kalus, Wenzel; Wolff, Martin; Kalko, Susana G; Roca, Josep; Marin de Mas, Igor; Turan, Nil; Cascante, Marta; Falciani, Francesco; Hernandez, Miguel; Villà-Freixa, Jordi; Losko, Sascha
2011-03-05
To enhance our understanding of complex biological systems like diseases we need to put all of the available data into context and use this to detect relations, pattern and rules which allow predictive hypotheses to be defined. Life science has become a data rich science with information about the behaviour of millions of entities like genes, chemical compounds, diseases, cell types and organs, which are organised in many different databases and/or spread throughout the literature. Existing knowledge such as genotype-phenotype relations or signal transduction pathways must be semantically integrated and dynamically organised into structured networks that are connected with clinical and experimental data. Different approaches to this challenge exist but so far none has proven entirely satisfactory. To address this challenge we previously developed a generic knowledge management framework, BioXM™, which allows the dynamic, graphic generation of domain specific knowledge representation models based on specific objects and their relations supporting annotations and ontologies. Here we demonstrate the utility of BioXM for knowledge management in systems biology as part of the EU FP6 BioBridge project on translational approaches to chronic diseases. From clinical and experimental data, text-mining results and public databases we generate a chronic obstructive pulmonary disease (COPD) knowledge base and demonstrate its use by mining specific molecular networks together with integrated clinical and experimental data. We generate the first semantically integrated COPD specific public knowledge base and find that for the integration of clinical and experimental data with pre-existing knowledge the configuration based set-up enabled by BioXM reduced implementation time and effort for the knowledge base compared to similar systems implemented as classical software development projects. The knowledgebase enables the retrieval of sub-networks including protein-protein interaction, pathway, gene--disease and gene--compound data which are used for subsequent data analysis, modelling and simulation. Pre-structured queries and reports enhance usability; establishing their use in everyday clinical settings requires further simplification with a browser based interface which is currently under development.
2011-01-01
Background To enhance our understanding of complex biological systems like diseases we need to put all of the available data into context and use this to detect relations, pattern and rules which allow predictive hypotheses to be defined. Life science has become a data rich science with information about the behaviour of millions of entities like genes, chemical compounds, diseases, cell types and organs, which are organised in many different databases and/or spread throughout the literature. Existing knowledge such as genotype - phenotype relations or signal transduction pathways must be semantically integrated and dynamically organised into structured networks that are connected with clinical and experimental data. Different approaches to this challenge exist but so far none has proven entirely satisfactory. Results To address this challenge we previously developed a generic knowledge management framework, BioXM™, which allows the dynamic, graphic generation of domain specific knowledge representation models based on specific objects and their relations supporting annotations and ontologies. Here we demonstrate the utility of BioXM for knowledge management in systems biology as part of the EU FP6 BioBridge project on translational approaches to chronic diseases. From clinical and experimental data, text-mining results and public databases we generate a chronic obstructive pulmonary disease (COPD) knowledge base and demonstrate its use by mining specific molecular networks together with integrated clinical and experimental data. Conclusions We generate the first semantically integrated COPD specific public knowledge base and find that for the integration of clinical and experimental data with pre-existing knowledge the configuration based set-up enabled by BioXM reduced implementation time and effort for the knowledge base compared to similar systems implemented as classical software development projects. The knowledgebase enables the retrieval of sub-networks including protein-protein interaction, pathway, gene - disease and gene - compound data which are used for subsequent data analysis, modelling and simulation. Pre-structured queries and reports enhance usability; establishing their use in everyday clinical settings requires further simplification with a browser based interface which is currently under development. PMID:21375767
López-Gil, Juan-Miguel; Gil, Rosa; García, Roberto
2016-01-01
This work presents a Web ontology for modeling and representation of the emotional, cognitive and motivational state of online learners, interacting with university systems for distance or blended education. The ontology is understood as a way to provide the required mechanisms to model reality and associate it to emotional responses, but without committing to a particular way of organizing these emotional responses. Knowledge representation for the contributed ontology is performed by using Web Ontology Language (OWL), a semantic web language designed to represent rich and complex knowledge about things, groups of things, and relations between things. OWL is a computational logic-based language such that computer programs can exploit knowledge expressed in OWL and also facilitates sharing and reusing knowledge using the global infrastructure of the Web. The proposed ontology has been tested in the field of Massive Open Online Courses (MOOCs) to check if it is capable of representing emotions and motivation of the students in this context of use. PMID:27199796
NASA Astrophysics Data System (ADS)
Parsons, M. A.; Gearheard, S.; McNeave, C.
2009-12-01
Local and traditional knowledge (LTK) provides rich information about the Arctic environment at spatial and temporal scales that scientific knowledge often does not have access to (e.g. localized observations of fine-scale ecological change potentially from many different communities, or local sea ice and conditions prior to 1950s ice charts and 1970s satellite records). Community-based observations and monitoring are an opportunity for Arctic residents to provide ‘frontline’ observations and measurements that are an early warning system for Arctic change. The Exchange for Local Observations and Knowledge of the Arctic (ELOKA) was established in response to the growing number of community-based and community-oriented research and observation projects in the Arctic. ELOKA provides data management and user support to facilitate the collection, preservation, exchange, and use of local observations and knowledge. Managing these data presents unique ethical challenges in terms of appropriate use of rare human knowledge and ensuring that knowledge is not lost from the local communities and not exploited in ways antithetical to community culture and desires. Local Arctic residents must be engaged as true collaborative partners while respecting their perspectives, which may vary substantially from a western science perspective. At the same time, we seek to derive scientific meaning from the local knowledge that can be used in conjunction with quantitative science data. This creates new challenges in terms of data presentation, knowledge representations, and basic issues of metadata. This presentation reviews these challenges, some initial approaches to addressing them, and overall lessons learned and future directions.
Comparative homegarden medical ethnobotany of Naxi healers and farmers in Northwestern Yunnan, China
2014-01-01
Background Homegardens are ecologically and culturally important systems for cultivating medicinal plants for wellbeing by healers and farmers in Naxi communities of the Sino Himalayan region. The cultivation of medicinal plants in Naxi communities and associated ethnomedical knowledge base for maintaining and utilizing these resources is at risk with expanded commercialization of natural resources, development policies and rapid socio-economic change in China. Research is needed to understand the medicinal plant species maintained in Naxi homegardens, their use and contribution to community wellbeing, and how these practices and knowledge base varies between Naxi healers and farmers in order to develop plans for biodiversity conservation and preservation of ethnomedical practices. The main objective of this study is to document and compare medicinal plant species in Naxi homegardens and associated ethnomedical knowledge between Naxi healers and farmers. Methods Ethnobotanical homegarden surveys were conducted with three Naxi healers and 28 farmer households in two Naxi communities in Lijiang Prefecture in Northwest Yunnan Province of China. Surveys included inventories of medicinal plants in homegardens and semi-structured interviews with homegarden managers to document traditional medicinal uses of inventoried plants. Inventoried plants were classified into 13 ‘usage categories’ of medical condition groupings that impact a system of the body. Finally, plant species richness was calculated for each homegarden and species richness was compared between healers and farmers as well as between study sites using a Least Square Means Tukey HSD function. Results Ethnobotanical surveys at the study sites found that 13% of households rely exclusively on traditional Naxi medicine, 26% exclusively use Western medicine and 61% use a combination of traditional Naxi and Western medicine. A total of 106 medicinal plants were inventoried in Naxi homegardens representing 50 botanical families. Over 85% of inventoried medicinal plants were herbaceous. The most represented families were Asteraceae (12.8%), Ranunculaceae (8.3%), Apiaceae (8.3%), and Polygonaceae (7.3%). The primary medical functions of inventoried plants were to treat inflammation (73 species), circulatory system disorders (62), nervous system disorders (41), detoxification (39), digestive system disorders (33), muscular-skeletal system disorders (26), genitourinary system disorders (26), skin conditions (23), respiratory systems disorders (22), and cold and flu (20). Local herbal experts maintained greater medicinal plant species richness in their homegardens compared to local farmers as well as had greater knowledge of medicinal functions of plants. Healers maintained medicinal plants primarily for healing while farmer households maintained approximately 90% of the medicinal plants in their homegardens for commercialization and the remaining for household healthcare. Conclusions This study highlights the importance of biodiversity and traditional ecological and medical knowledge for human wellbeing and livelihoods in Naxi communities. Conservation efforts and policies are necessary to preserve the ecological and cultural base that maintains medicinal plant use by both healers and farmers in Naxi homegardens of the Sino Himalayan region. PMID:24410825
Microbial Quality, Nutritional Knowledge and Food Hygienic Practices among Street Food Vendors
ERIC Educational Resources Information Center
Gowri, B.; Vasantha Devi, K. P.; Sivakumar, M.
2011-01-01
Since all categories of people from different socio-economic sectors purchase street foods; the street foods should not only be cheap but also hygienic and rich in nutrition. The investigators with their nutrition knowledge had an urge to study the nutrition knowledge of the vendors, whether the foods prepared are nutritionally sound or not?, are…
ERIC Educational Resources Information Center
Wymbs, Cliff; Kijne, Hugo
2003-01-01
This analysis extends the traditional marketing tradeoffs between richness (depth of knowledge) and reach (geographic area coverage) to the emerging technology-mediated education industry, and then specifically evaluates their effect on the teaching of international business. It asserts that interactive learning, particularly as it applies to team…
The Brink of Change: Gender in Technology-Rich Collaborative Learning Environments
ERIC Educational Resources Information Center
Goldstein, Jessica; Puntambeka, Sadhana
2004-01-01
This study was designed to contribute to a small but growing body of knowledge on the influence of gender in technology-rich collaborative learning environments. The study examined middle school students attitudes towards using computers and working in groups during scientific inquiry. Students attitudes towards technology and group work were…
The Role of Content Knowledge in Ill-Structured Problem Solving for High School Physics Students
NASA Astrophysics Data System (ADS)
Milbourne, Jeff; Wiebe, Eric
2018-02-01
While Physics Education Research has a rich tradition of problem-solving scholarship, most of the work has focused on more traditional, well-defined problems. Less work has been done with ill-structured problems, problems that are better aligned with the engineering and design-based scenarios promoted by the Next Generation Science Standards. This study explored the relationship between physics content knowledge and ill-structured problem solving for two groups of high school students with different levels of content knowledge. Both groups of students completed an ill-structured problem set, using a talk-aloud procedure to narrate their thought process as they worked. Analysis of the data focused on identifying students' solution pathways, as well as the obstacles that prevented them from reaching "reasonable" solutions. Students with more content knowledge were more successful reaching reasonable solutions for each of the problems, experiencing fewer obstacles. These students also employed a greater variety of solution pathways than those with less content knowledge. Results suggest that a student's solution pathway choice may depend on how she perceives the problem.
NASA Astrophysics Data System (ADS)
Kvasz, Ladislav
The aim of the article is to provide teachers some ideas about the development of physical knowledge and to make them more receptive to the differences between their and the students thinking. I want to show, that these differences lie not only in the richness of experience, but also in the structure of this experience. I try to point to some of these differences lying in the content, form and meaningfulness. The article is based on an adapted version of Piaget's model of the growth of physical knowledge. The model represents the changes of semantic understanding, formal language and logical structure of a theory during its historical development. I illustrate the model on the development of classical mechanics, but similar changes can be found also in the history of electrodynamics or quantum mechanics. The central idea of the paper is to use this model of the historical development of physical knowledge in analysis of the cognitive processes in physics education.
Relatedness-based Multi-Entity Summarization
Gunaratna, Kalpa; Yazdavar, Amir Hossein; Thirunarayan, Krishnaprasad; Sheth, Amit; Cheng, Gong
2017-01-01
Representing world knowledge in a machine processable format is important as entities and their descriptions have fueled tremendous growth in knowledge-rich information processing platforms, services, and systems. Prominent applications of knowledge graphs include search engines (e.g., Google Search and Microsoft Bing), email clients (e.g., Gmail), and intelligent personal assistants (e.g., Google Now, Amazon Echo, and Apple’s Siri). In this paper, we present an approach that can summarize facts about a collection of entities by analyzing their relatedness in preference to summarizing each entity in isolation. Specifically, we generate informative entity summaries by selecting: (i) inter-entity facts that are similar and (ii) intra-entity facts that are important and diverse. We employ a constrained knapsack problem solving approach to efficiently compute entity summaries. We perform both qualitative and quantitative experiments and demonstrate that our approach yields promising results compared to two other stand-alone state-of-the-art entity summarization approaches. PMID:29051696
An Interactive Immersive Serious Game Application for Kunyu Quantu World Map
NASA Astrophysics Data System (ADS)
Peng, S.-T.; Hsu, S.-Y.; Hsieh, K.-C.
2015-08-01
In recent years, more and more digital technologies and innovative concepts are applied on museum education. One of the concepts applied is "Serious game." Serious game is not designed for entertainment purpose but allows users to learn real world's cultural and educational knowledge in the virtual world through game-experiencing. Technologies applied on serious game are identical to those applied on entertainment game. Nowadays, the interactive technology applications considering users' movement and gestures in physical spaces are developing rapidly, which are extensively used in entertainment games, such as Kinect-based games. The ability to explore space via Kinect-based games can be incorporated into the design of serious game. The ancient world map, Kunyu Quantu, from the collection of the National Palace Museum is therefore applied in serious game development. In general, the ancient world map does not only provide geological information, but also contains museum knowledge. This particular ancient world map is an excellent content applied in games as teaching material. In the 17th century, it was first used by a missionary as a medium to teach the Kangxi Emperor of the latest geologic and scientific spirits from the West. On this map, it also includes written biological knowledge and climate knowledge. Therefore, this research aims to present the design of the interactive and immersive serious game based installation that developed from the rich content of the Kunyu Quantu World Map, and to analyse visitor's experience in terms of real world's cultural knowledge learning and interactive responses.
[A wavelet-transform-based method for the automatic detection of late-type stars].
Liu, Zhong-tian; Zhao, Rrui-zhen; Zhao, Yong-heng; Wu, Fu-chao
2005-07-01
The LAMOST project, the world largest sky survey project, urgently needs an automatic late-type stars detection system. However, to our knowledge, no effective methods for automatic late-type stars detection have been reported in the literature up to now. The present study work is intended to explore possible ways to deal with this issue. Here, by "late-type stars" we mean those stars with strong molecule absorption bands, including oxygen-rich M, L and T type stars and carbon-rich C stars. Based on experimental results, the authors find that after a wavelet transform with 5 scales on the late-type stars spectra, their frequency spectrum of the transformed coefficient on the 5th scale consistently manifests a unimodal distribution, and the energy of frequency spectrum is largely concentrated on a small neighborhood centered around the unique peak. However, for the spectra of other celestial bodies, the corresponding frequency spectrum is of multimodal and the energy of frequency spectrum is dispersible. Based on such a finding, the authors presented a wavelet-transform-based automatic late-type stars detection method. The proposed method is shown by extensive experiments to be practical and of good robustness.
Global Diversity of Ascidiacea
Shenkar, Noa; Swalla, Billie J.
2011-01-01
The class Ascidiacea presents fundamental opportunities for research in the fields of development, evolution, ecology, natural products and more. This review provides a comprehensive overview of the current knowledge regarding the global biodiversity of the class Ascidiacea, focusing in their taxonomy, main regions of biodiversity, and distribution patterns. Based on analysis of the literature and the species registered in the online World Register of Marine Species, we assembled a list of 2815 described species. The highest number of species and families is found in the order Aplousobranchia. Didemnidae and Styelidae families have the highest number of species with more than 500 within each group. Sixty percent of described species are colonial. Species richness is highest in tropical regions, where colonial species predominate. In higher latitudes solitary species gradually contribute more to the total species richness. We emphasize the strong association between species richness and sampling efforts, and discuss the risks of invasive species. Our inventory is certainly incomplete as the ascidian fauna in many areas around the world is relatively poorly known, and many new species continue to be discovered and described each year. PMID:21701684
Minoli, Ignacio; Morando, Mariana; Avila, Luciano Javier
2015-01-01
An accurate estimation of species and population geographic ranges is essential for species-focused studies and conservation and management plans. Knowledge of the geographic distributions of reptiles from Patagonian Argentina is in general limited and dispersed over manuscripts from a wide variety of topics. We completed an extensive review of reptile species of central Patagonia (Argentina) based on information from a wide variety of sources. We compiled and checked geographic distribution records from published literature and museum records, including extensive new data from the LJAMM-CNP (CENPAT-CONICET) herpetological collection. Our results show that there are 52 taxa recorded for this region and the highest species richness was seen in the families Liolaemidae and Dipsadidae with 31 and 10 species, respectively. The Patagónica was the phytogeographic province most diverse in species and Phymaturus was the genus of conservation concern most strongly associated with it. We present a detailed species list with geographical information, richness species, diversity analyses with comparisons across phytogeographical provinces, conservation status, taxonomic comments and distribution maps for all of these taxa.
Minoli, Ignacio; Morando, Mariana; Avila, Luciano Javier
2015-01-01
Abstract An accurate estimation of species and population geographic ranges is essential for species-focused studies and conservation and management plans. Knowledge of the geographic distributions of reptiles from Patagonian Argentina is in general limited and dispersed over manuscripts from a wide variety of topics. We completed an extensive review of reptile species of central Patagonia (Argentina) based on information from a wide variety of sources. We compiled and checked geographic distribution records from published literature and museum records, including extensive new data from the LJAMM-CNP (CENPAT-CONICET) herpetological collection. Our results show that there are 52 taxa recorded for this region and the highest species richness was seen in the families Liolaemidae and Dipsadidae with 31 and 10 species, respectively. The Patagónica was the phytogeographic province most diverse in species and Phymaturus was the genus of conservation concern most strongly associated with it. We present a detailed species list with geographical information, richness species, diversity analyses with comparisons across phytogeographical provinces, conservation status, taxonomic comments and distribution maps for all of these taxa. PMID:25931966
Leveraging biodiversity knowledge for potential phyto-therapeutic applications
Sharma, Vivekanand; Sarkar, Indra Neil
2013-01-01
Objective To identify and highlight the feasibility, challenges, and advantages of providing a cross-domain pipeline that can link relevant biodiversity information for phyto-therapeutic assessment. Materials and methods A public repository of clinical trials information (ClinicalTrials.gov) was explored to determine the state of plant-based interventions under investigation. Results The results showed that ∼15% of drug interventions in ClinicalTrials.gov were potentially plant related, with about 60% of them clustered within 10 taxonomic families. Further analysis of these plant-based interventions identified ∼3.7% of associated plant species as endangered as determined from the International Union for the Conservation of Nature Red List. Discussion The diversity of the plant kingdom has provided human civilization with life-sustaining food and medicine for centuries. There has been renewed interest in the investigation of botanicals as sources of new drugs, building on traditional knowledge about plant-based medicines. However, data about the plant-based biodiversity potential for therapeutics (eg, based on genetic or chemical information) are generally scattered across a range of sources and isolated from contemporary pharmacological resources. This study explored the potential to bridge biodiversity and biomedical knowledge sources. Conclusions The findings from this feasibility study suggest that there is an opportunity for developing plant-based drugs and further highlight taxonomic relationships between plants that may be rich sources for bioprospecting. PMID:23518859
Sharing What We Know about Living a Good Life: Indigenous Approaches to Knowledge Translation
Smylie, Janet; Olding, Michelle; Ziegler, Carolyn
2015-01-01
Knowledge Translation (KT), a core priority in Canadian health research, policy, and practice for the past decade, has a long and rich tradition within Indigenous communities. In Indigenous knowledge systems the processes of “knowing” and “doing” are often intertwined and indistinguishable. However, dominant KT models in health science do not typically recognize Indigenous knowledge conceptualizations, sharing systems, or protocols and will likely fall short in Indigenous contexts. There is a need to move towards KT theory and practice that embraces diverse understandings of knowledge and that recognizes, respects, and builds on pre-existing knowledge systems. This will not only result in better processes and outcomes for Indigenous communities, it will also provide rich learning for mainstream KT scholarship and practice. As professionals deeply engaged in KT work, health librarians are uniquely positioned to support the development and implementation of Indigenous KT. This article provides information that will enhance the ability of readers from diverse backgrounds to promote and support Indigenous KT efforts, including an introduction to Indigenous knowledge conceptualizations and knowledge systems; key contextual issues to consider in planning, implementing, or evaluating KT in Indigenous settings; and contemporary examples of Indigenous KT in action. The authors pose critical reflection questions throughout the article that encourage readers to connect the content with their own practices and underlying knowledge assumptions. PMID:26793244
Katherine J. Elliott; James M. Vose; Duke Rankin
2014-01-01
We synthesized the current information on mesophytic cove forests in the southern Appalachians, assessed the range of variation in herb species composition and diversity in stands with different disturbance histories and environmental conditions, identified key knowledge gaps, and suggested approaches to fill these knowledge gaps. The purpose of this synthesis was to...
Dynamic neural architecture for social knowledge retrieval
Wang, Yin; Collins, Jessica A.; Koski, Jessica; Nugiel, Tehila; Metoki, Athanasia; Olson, Ingrid R.
2017-01-01
Social behavior is often shaped by the rich storehouse of biographical information that we hold for other people. In our daily life, we rapidly and flexibly retrieve a host of biographical details about individuals in our social network, which often guide our decisions as we navigate complex social interactions. Even abstract traits associated with an individual, such as their political affiliation, can cue a rich cascade of person-specific knowledge. Here, we asked whether the anterior temporal lobe (ATL) serves as a hub for a distributed neural circuit that represents person knowledge. Fifty participants across two studies learned biographical information about fictitious people in a 2-d training paradigm. On day 3, they retrieved this biographical information while undergoing an fMRI scan. A series of multivariate and connectivity analyses suggest that the ATL stores abstract person identity representations. Moreover, this region coordinates interactions with a distributed network to support the flexible retrieval of person attributes. Together, our results suggest that the ATL is a central hub for representing and retrieving person knowledge. PMID:28289200
Dynamic neural architecture for social knowledge retrieval.
Wang, Yin; Collins, Jessica A; Koski, Jessica; Nugiel, Tehila; Metoki, Athanasia; Olson, Ingrid R
2017-04-18
Social behavior is often shaped by the rich storehouse of biographical information that we hold for other people. In our daily life, we rapidly and flexibly retrieve a host of biographical details about individuals in our social network, which often guide our decisions as we navigate complex social interactions. Even abstract traits associated with an individual, such as their political affiliation, can cue a rich cascade of person-specific knowledge. Here, we asked whether the anterior temporal lobe (ATL) serves as a hub for a distributed neural circuit that represents person knowledge. Fifty participants across two studies learned biographical information about fictitious people in a 2-d training paradigm. On day 3, they retrieved this biographical information while undergoing an fMRI scan. A series of multivariate and connectivity analyses suggest that the ATL stores abstract person identity representations. Moreover, this region coordinates interactions with a distributed network to support the flexible retrieval of person attributes. Together, our results suggest that the ATL is a central hub for representing and retrieving person knowledge.
Issues in the Classification of Disease Instances with Ontologies
Burgun, Anita; Bodenreider, Olivier; Jacquelinet, Christian
2006-01-01
Ontologies define classes of entities and their interrelations. They are used to organize data according to a theory of the domain. Towards that end, ontologies provide class definitions (i.e., the necessary and sufficient conditions for defining class membership). In medical ontologies, it is often difficult to establish such definitions for diseases. We use three examples (anemia, leukemia and schizophrenia) to illustrate the limitations of ontologies as classification resources. We show that eligibility criteria are often more useful than the Aristotelian definitions traditionally used in ontologies. Examples of eligibility criteria for diseases include complex predicates such as ‘ x is an instance of the class C when at least n criteria among m are verified’ and ‘symptoms must last at least one month if not treated, but less than one month, if effectively treated’. References to normality and abnormality are often found in disease definitions, but the operational definition of these references (i.e., the statistical and contextual information necessary to define them) is rarely provided. We conclude that knowledge bases that include probabilistic and statistical knowledge as well as rule-based criteria are more useful than Aristotelian definitions for representing the predicates defined by necessary and sufficient conditions. Rich knowledge bases are needed to clarify the relations between individuals and classes in various studies and applications. However, as ontologies represent relations among classes, they can play a supporting role in disease classification services built primarily on knowledge bases. PMID:16160339
The Medawar Lecture 2001 Knowledge for vision: vision for knowledge
Gregory, Richard L
2005-01-01
An evolutionary development of perception is suggested—from passive reception to active perception to explicit conception—earlier stages being largely retained and incorporated in later species. A key is innate and then individually learned knowledge, giving meaning to sensory signals. Inappropriate or misapplied knowledge produces rich cognitive phenomena of illusions, revealing normally hidden processes of vision, tentatively classified here in a ‘peeriodic table’. Phenomena of physiology are distinguished from phenomena of general rules and specific object knowledge. It is concluded that vision uses implicit knowledge, and provides knowledge for intelligent behaviour and for explicit conceptual understanding including science. PMID:16147519
Visualizing Access: Knowledge Development in University-Community Partnerships
ERIC Educational Resources Information Center
Strier, Roni; Shechter, Dorit
2016-01-01
This article tackles the need to democratize processes of knowledge production in the context of university-community partnerships. These partnerships, which are a rich source of academic research, allow universities to create more reciprocal relationships with communities, especially those affected by social inequalities. Through their social…
Researching Student Motivation
ERIC Educational Resources Information Center
Alkaabi, Sultan Ali R.; Alkaabi, Warda; Vyver, Glen
2017-01-01
Motivation has been studied by different scientists in different fields of knowledge such as biology, psychology, and education for a long period, which has cultivated a wealth of knowledge in these disciplines. The richness in motivation theories poses complexity in motivation research. Due to these complexities, many researchers focus on using a…
Królak, Maria; Jeżewska-Zychowicz, Marzena; Sajdakowska, Marta; Gębski, Jerzy
2017-01-01
The average daily intake of fiber is still too low in relation to nutritional recommendations, as was found in several studies. Therefore, it is necessary to recommend ways to increase fiber intake in the diet. Increasing the consumption of bread rich in fiber as a substitute of white bread is one of the ways to increase fiber intake. The aim of this study was to find out whether nutrition knowledge and perception of dietary fiber affected the frequency of eating wholemeal bread and white bread fortified with fiber. The data were collected in 2014 through a cross-sectional quantitative survey that was performed under the Bioproduct project among a group of 1013 Polish adults. The associations between variables were investigated using multiple regression analysis. The respondents’ general knowledge on nutrition influenced their knowledge on fiber intake (correlation coefficient r = 0.30). Respondents with a greater knowledge perceived higher benefits of consuming cereal products that were fortified with fiber (r = 0.78), and attached greater importance to the information on the label (r = 0.39) as well. The nutrition knowledge determined the familiarity with fiber-enriched bread and the consumption of this product (r = 0.40) to a greater degree than the frequency of wholemeal bread consumption (r = −0.10). The respondents’ perception of dietary fiber was observed to play a partial mediation role between the knowledge on nutrition and the consumption of both kinds of breads, suggesting that it can be an important predictor of bread consumption. To increase the consumption of bread that is rich in fiber, emphasis should be laid on specific information on fiber, referring to food products as well as on individual’s perception of those products. The said information should be reinforced along with overall communication regarding nutrition to influence the bread-related decisions. PMID:29144429
Królak, Maria; Jeżewska-Zychowicz, Marzena; Sajdakowska, Marta; Gębski, Jerzy
2017-11-16
The average daily intake of fiber is still too low in relation to nutritional recommendations, as was found in several studies. Therefore, it is necessary to recommend ways to increase fiber intake in the diet. Increasing the consumption of bread rich in fiber as a substitute of white bread is one of the ways to increase fiber intake. The aim of this study was to find out whether nutrition knowledge and perception of dietary fiber affected the frequency of eating wholemeal bread and white bread fortified with fiber. The data were collected in 2014 through a cross-sectional quantitative survey that was performed under the Bioproduct project among a group of 1013 Polish adults. The associations between variables were investigated using multiple regression analysis. The respondents' general knowledge on nutrition influenced their knowledge on fiber intake (correlation coefficient r = 0.30). Respondents with a greater knowledge perceived higher benefits of consuming cereal products that were fortified with fiber ( r = 0.78), and attached greater importance to the information on the label ( r = 0.39) as well. The nutrition knowledge determined the familiarity with fiber-enriched bread and the consumption of this product ( r = 0.40) to a greater degree than the frequency of wholemeal bread consumption ( r = -0.10). The respondents' perception of dietary fiber was observed to play a partial mediation role between the knowledge on nutrition and the consumption of both kinds of breads, suggesting that it can be an important predictor of bread consumption. To increase the consumption of bread that is rich in fiber, emphasis should be laid on specific information on fiber, referring to food products as well as on individual's perception of those products. The said information should be reinforced along with overall communication regarding nutrition to influence the bread-related decisions.
Traditional Lebanese recipes based on wild plants: an answer to diet simplification?
Batal, Malek; Hunter, Elizabeth
2007-06-01
The challenge posed by the nutrition transition occurring throughout the world is enormous: rates of chronic disease, particularly overweight and obesity and cardiovascular disease, have reached alarming levels-often occurring in parallel with high levels of micronutrient deficiencies. Lebanon is no exception. And yet this Mediterranean country enjoys a rich biodiversity, with thousands of endemic species and an equally rich culinary history, largely based on its local biodiversity, including wild edible plants. To record traditional Lebanese recipes based on wild edible plants and to investigate their potential to contribute to a more diversified diet. A series of nine focus group meetings was conducted with key informants knowledgeable in wild edible plant identification, harvesting, and use. Common recipes based on wild edible plants were collected and standardized from rural communities where collection of wild edible plants is common. Nutrient analysis and food-composition analysis were performed, including comparisons with processed dishes that are increasingly common in the Lebanese diet, revealing that the wild edible plant-based dishes offered a healthier alternative. Since traditional recipes often use items from several food groups in one dish, they can be a good model for diet diversification. The promotion of the collection and use of wild edible plants and their derived products can lead to improved nutrition.
Quellmalz, Edys S; Pellegrino, James W
2009-01-02
Large-scale testing of educational outcomes benefits already from technological applications that address logistics such as development, administration, and scoring of tests, as well as reporting of results. Innovative applications of technology also provide rich, authentic tasks that challenge the sorts of integrated knowledge, critical thinking, and problem solving seldom well addressed in paper-based tests. Such tasks can be used on both large-scale and classroom-based assessments. Balanced assessment systems can be developed that integrate curriculum-embedded, benchmark, and summative assessments across classroom, district, state, national, and international levels. We discuss here the potential of technology to launch a new era of integrated, learning-centered assessment systems.
Planning bioinformatics workflows using an expert system.
Chen, Xiaoling; Chang, Jeffrey T
2017-04-15
Bioinformatic analyses are becoming formidably more complex due to the increasing number of steps required to process the data, as well as the proliferation of methods that can be used in each step. To alleviate this difficulty, pipelines are commonly employed. However, pipelines are typically implemented to automate a specific analysis, and thus are difficult to use for exploratory analyses requiring systematic changes to the software or parameters used. To automate the development of pipelines, we have investigated expert systems. We created the Bioinformatics ExperT SYstem (BETSY) that includes a knowledge base where the capabilities of bioinformatics software is explicitly and formally encoded. BETSY is a backwards-chaining rule-based expert system comprised of a data model that can capture the richness of biological data, and an inference engine that reasons on the knowledge base to produce workflows. Currently, the knowledge base is populated with rules to analyze microarray and next generation sequencing data. We evaluated BETSY and found that it could generate workflows that reproduce and go beyond previously published bioinformatics results. Finally, a meta-investigation of the workflows generated from the knowledge base produced a quantitative measure of the technical burden imposed by each step of bioinformatics analyses, revealing the large number of steps devoted to the pre-processing of data. In sum, an expert system approach can facilitate exploratory bioinformatic analysis by automating the development of workflows, a task that requires significant domain expertise. https://github.com/jefftc/changlab. jeffrey.t.chang@uth.tmc.edu. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com
Planning bioinformatics workflows using an expert system
Chen, Xiaoling; Chang, Jeffrey T.
2017-01-01
Abstract Motivation: Bioinformatic analyses are becoming formidably more complex due to the increasing number of steps required to process the data, as well as the proliferation of methods that can be used in each step. To alleviate this difficulty, pipelines are commonly employed. However, pipelines are typically implemented to automate a specific analysis, and thus are difficult to use for exploratory analyses requiring systematic changes to the software or parameters used. Results: To automate the development of pipelines, we have investigated expert systems. We created the Bioinformatics ExperT SYstem (BETSY) that includes a knowledge base where the capabilities of bioinformatics software is explicitly and formally encoded. BETSY is a backwards-chaining rule-based expert system comprised of a data model that can capture the richness of biological data, and an inference engine that reasons on the knowledge base to produce workflows. Currently, the knowledge base is populated with rules to analyze microarray and next generation sequencing data. We evaluated BETSY and found that it could generate workflows that reproduce and go beyond previously published bioinformatics results. Finally, a meta-investigation of the workflows generated from the knowledge base produced a quantitative measure of the technical burden imposed by each step of bioinformatics analyses, revealing the large number of steps devoted to the pre-processing of data. In sum, an expert system approach can facilitate exploratory bioinformatic analysis by automating the development of workflows, a task that requires significant domain expertise. Availability and Implementation: https://github.com/jefftc/changlab Contact: jeffrey.t.chang@uth.tmc.edu PMID:28052928
A remote sensing research agenda for mapping and monitoring biodiversity
NASA Technical Reports Server (NTRS)
Stoms, D. M.; Estes, J. E.
1993-01-01
A remote sensing research agenda designed to expand the knowledge of the spatial distribution of species richness and its ecological determinants and to predict its response to global change is proposed. Emphasis is placed on current methods of mapping species richness of both plants and animals, hypotheses concerning the biophysical factors believed to determine patterns of species richness, and anthropogenic processes causing the accelerating rate of extinctions. It is concluded that biodiversity should be incorporated more prominently into the global change and earth system science paradigms.
ERIC Educational Resources Information Center
Buehl, Doug
2017-01-01
To understand complex disciplinary texts, students need to possess a rich store of background knowledge. But what happens if students don't have that knowledge? In this article, Doug Buehl explores frontloading strategies that can bridge the gap between what students know and what they need to know to comprehend a disciplinary text. He outlines…
Global patterns and predictors of fish species richness in estuaries.
Vasconcelos, Rita P; Henriques, Sofia; França, Susana; Pasquaud, Stéphanie; Cardoso, Inês; Laborde, Marina; Cabral, Henrique N
2015-09-01
1. Knowledge of global patterns of biodiversity and regulating variables is indispensable to develop predictive models. 2. The present study used predictive modelling approaches to investigate hypotheses that explain the variation in fish species richness between estuaries over a worldwide spatial extent. Ultimately, such models will allow assessment of future changes in ecosystem structure and function as a result of environmental changes. 3. A comprehensive worldwide data base was compiled of the fish assemblage composition and environmental characteristics of estuaries. Generalized Linear Models were used to quantify how variation in species richness among estuaries is related to historical events, energy dynamics and ecosystem characteristics, while controlling for sampling effects. 4. At the global extent, species richness differed among marine biogeographic realms and continents and increased with mean sea surface temperature, terrestrial net primary productivity and the stability of connectivity with a marine ecosystem (open vs. temporarily open estuaries). At a smaller extent (within a marine biogeographic realm or continent), other characteristics were also important in predicting variation in species richness, with species richness increasing with estuary area and continental shelf width. 5. The results suggest that species richness in an estuary is defined by predictors that are spatially hierarchical. Over the largest spatial extents, species richness is influenced by the broader distributions and habitat use patterns of marine and freshwater species that can colonize estuaries, which are in turn governed by history contingency, energy dynamics and productivity variables. Species richness is also influenced by more regional and local parameters that can further affect the process of community colonization in an estuary including the connectivity of the estuary with the adjacent marine habitat, and, over smaller spatial extents, the size of these habitats. In summary, patterns of species richness in estuaries across large spatial extents seem to reflect from global to local processes acting on community colonization. The importance of considering spatial extent, sampling effects and of combining history and contemporary environmental characteristics when exploring biodiversity is highlighted. © 2015 The Authors. Journal of Animal Ecology published by John Wiley & Sons on behalf of the British Ecological Society.
Wei, Z.; Zhu, Y.; Zhang, W.; ...
2015-03-27
Lithium-rich material owns a particularly high capacity owing to the activation of electrochemical inactive Li 2MnO 3 phase. But at the same time, MnO 2 phase formed after Li 2MnO 3 activation confronts a severe problem of converting to spinel phase, and resulting in voltage decay. To our knowledge, this phenomenon is inherent property of layered manganese oxide materials and can hardly be overcome. Based on this, unlike previous reports, herein we design a method for the first time to accelerate the phase transformation by tuning the charge upper-limit voltage at a high value, so the phase transformation process canmore » be finished in a few cycles. Then material structure remains stable while cycling at a low upper-limit voltage. By this novel method voltage decay is eliminated significantly.« less
NASA Astrophysics Data System (ADS)
Hand, Brian; Cavagnetto, Andy; Chen, Ying-Chih; Park, Soonhye
2016-04-01
Given current concerns internationally about student performance in science and the need to shift how science is being learnt in schools, as a community, we need to shift how we approach the issue of learning and teaching in science. In the future, we are going to have to close the gap between how students construct and engage with knowledge in a media-rich environment, and how school classroom environments engage them. This is going to require a shift to immersive environments where attention is paid to the knowledge bases and resources students bring into the classroom. Teachers will have to adopt adaptive pedagogical approaches that are framed around a more nuanced understanding of epistemological orientation, language and the nature of prosocial environments.
Proteome analysis of snake venom toxins: pharmacological insights.
Georgieva, Dessislava; Arni, Raghuvir K; Betzel, Christian
2008-12-01
Snake venoms are an extremely rich source of pharmacologically active proteins with a considerable clinical and medical potential. To date, this potential has not been fully explored, mainly because of our incomplete knowledge of the venom proteome and the pharmacological properties of its components, in particular those devoid of enzymatic activity. This review summarizes the latest achievements in the determination of snake venom proteome, based primarily on the development of new strategies and techniques. Detailed knowledge of the venom toxin composition and biological properties of the protein constituents should provide the scaffold for the design of new more effective drugs for the treatment of the hemostatic system and heart disorders, inflammation, cancer and consequences of snake bites, as well as new tools for clinical diagnostic and assays of hemostatic parameters.
The Semanticscience Integrated Ontology (SIO) for biomedical research and knowledge discovery
2014-01-01
The Semanticscience Integrated Ontology (SIO) is an ontology to facilitate biomedical knowledge discovery. SIO features a simple upper level comprised of essential types and relations for the rich description of arbitrary (real, hypothesized, virtual, fictional) objects, processes and their attributes. SIO specifies simple design patterns to describe and associate qualities, capabilities, functions, quantities, and informational entities including textual, geometrical, and mathematical entities, and provides specific extensions in the domains of chemistry, biology, biochemistry, and bioinformatics. SIO provides an ontological foundation for the Bio2RDF linked data for the life sciences project and is used for semantic integration and discovery for SADI-based semantic web services. SIO is freely available to all users under a creative commons by attribution license. See website for further information: http://sio.semanticscience.org. PMID:24602174
Describing functional requirements for knowledge sharing communities
NASA Technical Reports Server (NTRS)
Garrett, Sandra; Caldwell, Barrett
2002-01-01
Human collaboration in distributed knowledge sharing groups depends on the functionality of information and communication technologies (ICT) to support performance. Since many of these dynamic environments are constrained by time limits, knowledge must be shared efficiently by adapting the level of information detail to the specific situation. This paper focuses on the process of knowledge and context sharing with and without mediation by ICT, as well as issues to be resolved when determining appropriate ICT channels. Both technology-rich and non-technology examples are discussed.
Yun Chen; Hui Yang
2014-01-01
The rapid advancements of biomedical instrumentation and healthcare technology have resulted in data-rich environments in hospitals. However, the meaningful information extracted from rich datasets is limited. There is a dire need to go beyond current medical practices, and develop data-driven methods and tools that will enable and help (i) the handling of big data, (ii) the extraction of data-driven knowledge, (iii) the exploitation of acquired knowledge for optimizing clinical decisions. This present study focuses on the prediction of mortality rates in Intensive Care Units (ICU) using patient-specific healthcare recordings. It is worth mentioning that postsurgical monitoring in ICU leads to massive datasets with unique properties, e.g., variable heterogeneity, patient heterogeneity, and time asyncronization. To cope with the challenges in ICU datasets, we developed the postsurgical decision support system with a series of analytical tools, including data categorization, data pre-processing, feature extraction, feature selection, and predictive modeling. Experimental results show that the proposed data-driven methodology outperforms traditional approaches and yields better results based on the evaluation of real-world ICU data from 4000 subjects in the database. This research shows great potentials for the use of data-driven analytics to improve the quality of healthcare services.
Genung, Mark A; Fox, Jeremy; Williams, Neal M; Kremen, Claire; Ascher, John; Gibbs, Jason; Winfree, Rachael
2017-07-01
The relationship between biodiversity and the stability of ecosystem function is a fundamental question in community ecology, and hundreds of experiments have shown a positive relationship between species richness and the stability of ecosystem function. However, these experiments have rarely accounted for common ecological patterns, most notably skewed species abundance distributions and non-random extinction risks, making it difficult to know whether experimental results can be scaled up to larger, less manipulated systems. In contrast with the prolific body of experimental research, few studies have examined how species richness affects the stability of ecosystem services at more realistic, landscape scales. The paucity of these studies is due in part to a lack of analytical methods that are suitable for the correlative structure of ecological data. A recently developed method, based on the Price equation from evolutionary biology, helps resolve this knowledge gap by partitioning the effect of biodiversity into three components: richness, composition, and abundance. Here, we build on previous work and present the first derivation of the Price equation suitable for analyzing temporal variance of ecosystem services. We applied our new derivation to understand the temporal variance of crop pollination services in two study systems (watermelon and blueberry) in the mid-Atlantic United States. In both systems, but especially in the watermelon system, the stronger driver of temporal variance of ecosystem services was fluctuations in the abundance of common bee species, which were present at nearly all sites regardless of species richness. In contrast, temporal variance of ecosystem services was less affected by differences in species richness, because lost and gained species were rare. Thus, the findings from our more realistic landscapes differ qualitatively from the findings of biodiversity-stability experiments. © 2017 by the Ecological Society of America.
Modelling the atmosphere of the carbon-rich Mira RU Virginis
NASA Astrophysics Data System (ADS)
Rau, G.; Paladini, C.; Hron, J.; Aringer, B.; Groenewegen, M. A. T.; Nowotny, W.
2015-11-01
Context. We study the atmosphere of the carbon-rich Mira RU Vir using the mid-infrared high spatial resolution interferometric observations from VLTI/MIDI. Aims: The aim of this work is to analyse the atmosphere of the carbon-rich Mira RU Vir with hydrostatic and dynamic models, in this way deepening the knowledge of the dynamic processes at work in carbon-rich Miras. Methods: We compare spectro-photometric and interferometric measurements of this carbon-rich Mira AGB star with the predictions of different kinds of modelling approaches (hydrostatic model atmospheres plus MOD-More Of Dusty, self-consistent dynamic model atmospheres). A geometric model fitting tool is used for a first interpretation of the interferometric data. Results: The results show that a joint use of different kinds of observations (photometry, spectroscopy, interferometry) is essential for shedding light on the structure of the atmosphere of a carbon-rich Mira. The dynamic model atmospheres fit the ISO spectrum well in the wavelength range λ = [2.9,25.0] μm. Nevertheless, a discrepancy is noticeable both in the SED (visible) and in the interferometric visibilities (shape and level), which is a possible explanation are intra-/inter-cycle variations in the dynamic model atmospheres, as well as in the observations. The presence of a companion star and/or a disk or a decrease in mass loss within the past few hundred years cannot be excluded, but these explanations are considered unlikely. Based on observations made with ESO telescopes at La Silla Paranal Observatory under programme IDs: 085.D-0756 and 093. D-0708.Appendix A is available in electronic form at http://www.aanda.org
DOE Office of Scientific and Technical Information (OSTI.GOV)
Reiche, Helmut Matthias; Vogel, Sven C.
New in situ data for the U-C system are presented, with the goal of improving knowledge of the phase diagram to enable production of new ceramic fuels. The none quenchable, cubic, δ-phase, which in turn is fundamental to computational methods, was identified. Rich datasets of the formation synthesis of uranium carbide yield kinetics data which allow the benchmarking of modeling, thermodynamic parameters etc. The order-disorder transition (carbon sublattice melting) was observed due to equal sensitivity of neutrons to both elements. This dynamic has not been accurately described in some recent simulation-based publications.
Factors influencing consumption of nutrient rich forest foods in rural Cameroon.
Fungo, Robert; Muyonga, John H; Kabahenda, Margaret; Okia, Clement A; Snook, Laura
2016-02-01
Studies show that a number of forest foods consumed in Cameroon are highly nutritious and rich in health boosting bioactive compounds. This study assessed the knowledge and perceptions towards the nutritional and health promoting properties of forest foods among forest dependent communities. The relationship between knowledge, perceptions and socio-demographic attributes on consumption of forest foods was also determined. A total of 279 females in charge of decision making with respect to food preparation were randomly selected from 12 villages in southern and eastern Cameroon and interviewed using researcher administered questionnaires. Multivariate logistic regression analysis was used to identify the factors affecting consumption of forest foods. Baillonella toxisperma (98%) and Irvingia gabonesis (81%) were the most known nutrient rich forest foods by the respondents. About 31% of the respondents were aware of the nutritional value and health benefits of forest foods. About 10%-61% of the respondents expressed positive attitudes to questions related with health benefits of specific forest foods. Consumption of forest foods was found to be higher among polygamous families and also positively related to length of stay in the forest area and age of respondent with consumption of forest foods. Education had an inverse relationship with use of forest foods. Knowledge and positive attitude towards the nutritional value of forest foods were also found to positively influence consumption of forest foods. Since knowledge was found to influence attitude and consumption, there is need to invest in awareness campaigns to strengthen the current knowledge levels among the study population. This should positively influence the attitudes and perceptions towards increased consumption of forest foods. Copyright © 2015 Elsevier Ltd. All rights reserved.
Bragadóttir, Helga; Gunnarsdóttir, Sigrún; Ingason, Helgi T
2013-05-01
This paper describes the development and piloting of electronic standardized measures on nursing work (e-SMNW) for rich data gathering on the work and work environment of registered nurses (RNs) and practical nurses (PNs). Efficient and valid methods are needed to measure nursing work to enhance the optimal use of the nursing workforce for safe patient care. The study combined human factors engineering (HFE) and nursing knowledge to develop electronic standardized measures for observational studies on nursing work in acute care. The work and work environment of RNs and PNs in acute care medical and surgical inpatient units was successfully measured using e-SMNW. With predetermined items of work activities and influencing factors in the work of nurses, and full use of computer technology, multi-layered rich standardized data were gathered, analysed and displayed. The combination of nursing knowledge, HFE and computer technology enables observational data collection for a rich picture of the complex work of nursing. Information collected by standardized and multi-layered measures makes it easier to identify potential improvements, with regard to influencing factors and management of the work and work environment of nurses. Further use of computer technology in health services research is encouraged. © 2012 Blackwell Publishing Ltd.
Adolescents' Theories about Economic Inequality: Why Are Some People Poor While Others Are Rich?
ERIC Educational Resources Information Center
Flanagan, Constance A.; Kim, Taehan; Pykett, Alisa; Finlay, Andrea; Gallay, Erin E.; Pancer, Mark
2014-01-01
Open-ended responses of an ethnically and socioeconomically diverse sample of 593 12- to 19-year-olds (M = 16 years old, SD = 1.59) were analyzed to explain why some people in the United States are poor and others are rich. Adolescents had more knowledge and a more complex understanding of wealth than of poverty and older adolescents had more…
Chemical name extraction based on automatic training data generation and rich feature set.
Yan, Su; Spangler, W Scott; Chen, Ying
2013-01-01
The automation of extracting chemical names from text has significant value to biomedical and life science research. A major barrier in this task is the difficulty of getting a sizable and good quality data to train a reliable entity extraction model. Another difficulty is the selection of informative features of chemical names, since comprehensive domain knowledge on chemistry nomenclature is required. Leveraging random text generation techniques, we explore the idea of automatically creating training sets for the task of chemical name extraction. Assuming the availability of an incomplete list of chemical names, called a dictionary, we are able to generate well-controlled, random, yet realistic chemical-like training documents. We statistically analyze the construction of chemical names based on the incomplete dictionary, and propose a series of new features, without relying on any domain knowledge. Compared to state-of-the-art models learned from manually labeled data and domain knowledge, our solution shows better or comparable results in annotating real-world data with less human effort. Moreover, we report an interesting observation about the language for chemical names. That is, both the structural and semantic components of chemical names follow a Zipfian distribution, which resembles many natural languages.
ERIC Educational Resources Information Center
Polly, Drew
2015-01-01
Preparing pre-service teachers to effectively integrate technology in the classroom requires rich experiences that deepen their knowledge of technology, pedagogy, and content and the intersection of these aspects. This study examined elementary education pre-service teachers' development of skills and knowledge in a technology integration course…
Transforming Data into Knowledge
ERIC Educational Resources Information Center
Mills, Lane
2006-01-01
School systems can be data rich and information poor if they do not understand and manage their data effectively. The task for school leaders is to put existing data into a format that lends itself to answering questions and improving outcomes for the students. Common barriers to transforming data into knowledge in education settings often include…
Teacher Research on Funds of Knowledge: Learning from Households. Educational Practice Report: 6.
ERIC Educational Resources Information Center
Gonzalez, Norma; And Others
The conceptualization of working-class Latino students' households as being rich in funds of knowledge has engendered transformative consequences for teachers, parents, students, and researchers. The qualitative study of their own students' households by teachers is a viable method for bridging the gap between school and community. An assumption…
Examining the Relative Contributions of Content Knowledge and Strategic Processing to Comprehension
ERIC Educational Resources Information Center
Aukerman, Maren; Brown, Rachel; Mokhtari, Kouider; Valencia, Sheila; Palincsar, Annemarie
2015-01-01
The essays below were prepared following the LRA session organized by Janice Almasi entitled, "Examining the relative contributions of content knowledge and strategic processing to comprehension." What unites these essays are the personal and historical stances that each writer has taken; in addition, the essays are rich with…
ERIC Educational Resources Information Center
Burns, Rebecca West; Badiali, Bernard J.
2015-01-01
Preparing teachers in clinically rich contexts requires teacher educators who are skilled and knowledgeable about university coursework as well as the complexities of classrooms. Retired teachers or principals have often assumed the role of field supervisor, bringing to their work extensive practitioner knowledge but often lacking theoretical…
ERIC Educational Resources Information Center
Dove, Jane
2012-01-01
Tropical rainforests are biologically rich ecosystems, which are threatened by a variety of different human activities. This study focuses on students' knowledge and understanding of rainforest locations, their reasons for protecting these environments and their familiarity with selected concepts about rainforest vegetation and soil. These…
Reyes-García, Victoria; Fernández-Llamazares, Álvaro; Guèze, Maximilien; Garcés, Ariadna; Mallo, Miguel; Vila-Gómez, Margarita; Vilaseca, Marina
2016-01-01
Local knowledge has been proposed as a place-based tool to ground-truth climate models and to narrow their geographic sensitivity. To assess the potential role of local knowledge in our quest to understand better climate change and its impacts, we first need to critically review the strengths and weaknesses of local knowledge of climate change and the potential complementarity with scientific knowledge. With this aim, we conducted a systematic, quantitative meta-analysis of published peer-reviewed documents reporting local indicators of climate change (including both local observations of climate change and observed impacts on the biophysical and the social systems). Overall, primary data on the topic are not abundant, the methodological development is incipient, and the geographical extent is unbalanced. On the 98 case studies documented, we recorded the mention of 746 local indicators of climate change, mostly corresponding to local observations of climate change (40%), but also to observed impacts on the physical (23%), the biological (19%), and the socioeconomic (18%) systems. Our results suggest that, even if local observations of climate change are the most frequently reported type of change, the rich and fine-grained knowledge in relation to impacts on biophysical systems could provide more original contributions to our understanding of climate change at local scale. PMID:27642368
Who is Amazonia? The ‘salt of the matter’ for indigenous sustainability
NASA Astrophysics Data System (ADS)
Heckenberger, Michael
2013-12-01
The recent article ‘Ash salts and bodily affects: Witoto environmental knowledge as sexual education’ (Echeverri and Román-Jitdutjaãno 2013 Environ. Res. Lett. 8 015008) considers indigenous people and their distinctive knowledge systems in the western Amazon. These complex systems provide richly detailed practical knowledge about life in these tropical forests, which today many see as well populated and rich in cultural heritage. Through a careful analysis of ash salts and salt-making and the technologies and bodily affects associated with it, the authors suggest native Amazonian peoples see environmental knowledge not in terms of natural resources but instead how they interact with and produce human bodies in social networks, as a form of sexual education and, by extension, public health. It also highlights the critical importance of social relations as part of research, and the politics of nature, with important implications for contemporary debate and research on biodiversity, sustainability, climate change and human rights, specifically what types of agreements are entailed in scientific research that is not only robust but socially responsible.
Dissipation of ‘dark energy’ by cortex in knowledge retrieval
NASA Astrophysics Data System (ADS)
Capolupo, Antonio; Freeman, Walter J.; Vitiello, Giuseppe
2013-03-01
We have devised a thermodynamic model of cortical neurodynamics expressed at the classical level by neural networks and at the quantum level by dissipative quantum field theory. Our model is based on features in the spatial images of cortical activity newly revealed by high-density electrode arrays. We have incorporated the mechanism and necessity for so-called dark energy in knowledge retrieval. We have extended the model first using the Carnot cycle to define our measures for energy, entropy and temperature, and then using the Rankine cycle to incorporate criticality and phase transitions. We describe the dynamics of two interactive fields of neural activity that express knowledge, one at high and the other at low energy density, and the two operators that create and annihilate the fields. We postulate that the extremely high density of energy sequestered briefly in cortical activity patterns can account for the vividness, richness of associations, and emotional intensity of memories recalled by stimuli.
Dissipation of 'dark energy' by cortex in knowledge retrieval.
Capolupo, Antonio; Freeman, Walter J; Vitiello, Giuseppe
2013-03-01
We have devised a thermodynamic model of cortical neurodynamics expressed at the classical level by neural networks and at the quantum level by dissipative quantum field theory. Our model is based on features in the spatial images of cortical activity newly revealed by high-density electrode arrays. We have incorporated the mechanism and necessity for so-called dark energy in knowledge retrieval. We have extended the model first using the Carnot cycle to define our measures for energy, entropy and temperature, and then using the Rankine cycle to incorporate criticality and phase transitions. We describe the dynamics of two interactive fields of neural activity that express knowledge, one at high and the other at low energy density, and the two operators that create and annihilate the fields. We postulate that the extremely high density of energy sequestered briefly in cortical activity patterns can account for the vividness, richness of associations, and emotional intensity of memories recalled by stimuli. Copyright © 2013 Elsevier B.V. All rights reserved.
A Self-Organizing Incremental Neural Network based on local distribution learning.
Xing, Youlu; Shi, Xiaofeng; Shen, Furao; Zhou, Ke; Zhao, Jinxi
2016-12-01
In this paper, we propose an unsupervised incremental learning neural network based on local distribution learning, which is called Local Distribution Self-Organizing Incremental Neural Network (LD-SOINN). The LD-SOINN combines the advantages of incremental learning and matrix learning. It can automatically discover suitable nodes to fit the learning data in an incremental way without a priori knowledge such as the structure of the network. The nodes of the network store rich local information regarding the learning data. The adaptive vigilance parameter guarantees that LD-SOINN is able to add new nodes for new knowledge automatically and the number of nodes will not grow unlimitedly. While the learning process continues, nodes that are close to each other and have similar principal components are merged to obtain a concise local representation, which we call a relaxation data representation. A denoising process based on density is designed to reduce the influence of noise. Experiments show that the LD-SOINN performs well on both artificial and real-word data. Copyright © 2016 Elsevier Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
Poux, F.; Neuville, R.; Billen, R.
2017-08-01
Reasoning from information extraction given by point cloud data mining allows contextual adaptation and fast decision making. However, to achieve this perceptive level, a point cloud must be semantically rich, retaining relevant information for the end user. This paper presents an automatic knowledge-based method for pre-processing multi-sensory data and classifying a hybrid point cloud from both terrestrial laser scanning and dense image matching. Using 18 features including sensor's biased data, each tessera in the high-density point cloud from the 3D captured complex mosaics of Germigny-des-prés (France) is segmented via a colour multi-scale abstraction-based featuring extracting connectivity. A 2D surface and outline polygon of each tessera is generated by a RANSAC plane extraction and convex hull fitting. Knowledge is then used to classify every tesserae based on their size, surface, shape, material properties and their neighbour's class. The detection and semantic enrichment method shows promising results of 94% correct semantization, a first step toward the creation of an archaeological smart point cloud.
Social knowledge and signals in primates.
Bergman, Thore J; Sheehan, Michael J
2013-07-01
Primates are notable for having a rich and detailed understanding of their social environment and there has been great interest in the evolution and function of social knowledge in primates. Indeed, primates have been shown to have impressive understandings of not only other group members but also the complex relationships among them. To be useful, however, social knowledge requires memories from previous encounters and observations about individual traits that are stable. Here, we argue that social systems or traits that make social knowledge more costly or less accurate will favor signals that either supplement or replace social knowledge. Thus, the relationship between signals and social knowledge can be complementary or antagonistic depending on the type of signal. Our goal in this review is to elucidate the relationships between signals and social knowledge in primates. We categorize signals into three types, each with different relationships to social knowledge. (1) Identity signals directly facilitate social knowledge, (2) current-state signals supplement information gained through social knowledge, and (3) badges of status replace social knowledge. Primates rely extensively on identity information, but it remains to be determined to what extent this is based on receiver perception of individual variation or senders using identity signals. Primates frequently utilize current-state signals including signals of intent to augment their interactions with familiar individuals. Badges of status are rare in primates, and the cases where they are used point to a functional and evolutionary trade-off between badges of status and social knowledge. However, the nature of this relationship needs further exploration. © 2012 Wiley Periodicals, Inc.
Deep-sea benthic community and environmental impact assessment at the Atlantic Frontier
NASA Astrophysics Data System (ADS)
Gage, John D.
2001-05-01
The seabed community provides a sensitive litmus for environmental change. North Sea analysis of benthic populations provides an effective means for monitoring impacts from man's interventions, such as offshore oil exploitation and fishing, against baseline knowledge of the environment. Comparable knowledge of the benthic biology in the deep waters of the Atlantic Frontier beyond the N.E. Atlantic shelf edge is poorly developed. But uncertainties should not encourage assumptions and extrapolations from the better-known conditions on the continental shelf. While sampling at present still provides the best means to assess the health of the deepwater benthic habitat, protocols developed for deep-sea fauna should be applied. These are necessary because of (a) lower faunal densities, (b) higher species richness, (c) smaller body size, and (d) to ensure comparability with other deep-sea data. As in the North Sea, species richness and relative abundance can be analysed from quantitative samples in order to detect impacts. But analysis based on taxonomic sufficiency above species level is premature, even if arguably possible for coastal communities. Measures also need to ensure identifications are not forced to more familiar coastal species without proper study. Species-level analysis may be applied to seabed photographs of megafauna in relation to data on bottom environment, such as currents and the sediment, to monitor the health of the deep-water community. Although the composition of higher taxa in the benthic community is broadly similar to soft sediments on the shelf, concordance in sensitivities is speculative. Moreover, new organisms occur, such as giant protozoan xenophyophores, unknown on the continental shelf, whose sensitivities remain conjectural. Past knowledge of the benthic biology of the deep-water areas off Scotland is based on scattered stations and some more focussed, multidisciplinary studies, and should be significantly augmented by the results from the oil industry-funded Atlantic Margin Environmental Study cruises in 1996 and 1998. A predominantly depth-related pattern in variability applies here as found elsewhere in the deep ocean, and just sufficient knowledge-based predictive power exists to make comprehensive, high-resolution grid surveys unnecessary for the purpose of broad-scale environmental assessment. But new, small-scale site surveys remain necessary because of local-scale variability. Site survey should be undertaken in the context of existing knowledge of the deep sea in the UK area of the Atlantic Frontier and beyond, and can itself usefully be structured as tests of a projection from the regional scale to reduce sampling effort. It is to the benefit of all stakeholders that environmental assessment aspires to the highest scientific standards and contributes meaningfully to context knowledge. By doing so it will reduce uncertainties in future impact assessments and hence contribute usefully to environmental risk management.
Tserpes, George; Lampadariou, Nikolaos; Stergiou, Kostantinos I.
2017-01-01
Knowledge on biodiversity patterns of demersal megafaunal species in the Mediterranean and particularly in its eastern basin is still very scarce. In the present study, fine-scale diversity patterns in relation to depth were analyzed for three major megafaunal groups (fish, cephalopods and crustaceans) in three subareas of the eastern Mediterranean (Crete, Cyclades and Dodecanese islands). The analysis was based on data from the Mediterranean International Trawl Survey conducted during 2005–2014 and the relationship between depth and two different diversity measures (species richness and Shannon-Weaver) was examined using Generalized Additive Modeling (GAM) techniques. Species richness of fish decreased with depth in two of the three subareas (Cyclades, Dodecanese), while the opposite was true for crustaceans in all subareas. Cephalopods had higher species richness at intermediate depths, near the shelf break. Significant differences among subareas were found, with Crete showing a distinct species richness-depth pattern, which was more obvious for fish and cephalopods. The differences among subareas were also highlighted based on the occurrence of alien species of Indo-Pacific origin, which were more frequent in Crete. Our results suggested that the importance of depth-related factors in structuring communities was higher for cephalopods and less important for fish, and that Crete showed a distinct diversity-depth relationship, a fact that can be attributed to its specific geographical and oceanographic characteristics. These results support the current GFCM/FAO’s characterization of Crete as a unique geographic subarea. The findings of the study contribute to understanding the causes of underlying diversity patterns and would assist various environmental management actions, particularly those related to the establishment of marine-protected areas. PMID:28873395
Menasria, Taha; Neffar, Souad; Chafaa, Smail; Bradai, Lyès; Chaibi, Rachid; Mekahlia, Mohamed Nacer; Bendjoudi, Djamel; Si Bachir, Abdelkrim
2015-01-01
The current study highlights some knowledge on the diversity and structure of insect communities and trophic groups living in Sabkha Djendli (semi-arid area of Northeastern Algeria). The entomofauna was monthly sampled from March to November 2006 using pitfall traps at eight sites located at the vicinity of the Sabkha. Structural and diversity parameters (species richness, Shannon index, evenness) were measured for both insect orders and trophic guilds. The canonical correspondence analysis (CCA) was applied to determine how vegetation parameters (species richness and cover) influence spatial and seasonal fluctuations of insect assemblages. The catches totalled 434 insect individuals classified into 75 species, 62 genera, 31 families and 7 orders, of which Coleoptera and Hymenoptera were the most abundant and constant over seasons and study stations. Spring and autumn presented the highest values of diversity parameters. Individual-based Chao-1 species richness estimator indicated 126 species for the total individuals captured in the Sabkha. Based on catch abundances, the structure of functional trophic groups was predators (37.3%), saprophages (26.7%), phytophages (20.5%), polyphages (10.8%), coprophages (4.6%); whereas in terms of numbers of species, they can be classified as phytophages (40%), predators (25.3%), polyphages (13.3%), saprophages (12%), coprophages (9.3%). The CCA demonstrated that phytophages and saprophages as well as Coleoptera and Orthoptera were positively correlated with the two parameters of vegetation, especially in spring and summer. While the abundance of coprophages was positively correlated with species richness of plants, polyphage density was positively associated with vegetation cover. The insect community showed high taxonomic and functional diversity that is closely related to diversity and vegetation cover in different stations of the wetland and seasons. PMID:25825682
Cuddy, Colleen; Brewer, Karen; Fitzpatrick, Bronson; Faraino, Richard; Trainor, Angela; Ciotoli, Carlo
2001-01-01
The NYU Ehrman Medical Library worked with the NYU Health Center to establish a base line analysis of the Center staff's knowledge and skills about medical information resources and how they apply them to clinical problem solving in their practice. Based on the results of this survey, the library conducted a targeted 12-month training program in how to select and use electronic resources for clinical problem solving. The survey was repeated and analyzed for significant self-reported change in information-seeking behavior and information skills. The poster presents the statistically significant changes and a set of the resultant research hypotheses.
ERIC Educational Resources Information Center
Choudry, Aziz; Bleakney, David
2013-01-01
Trade unions and other sites of community-labour organizing such as workers centres are rich, yet contested spaces of education and knowledge production in which both non-formal and informal / incidental forms of learning occur. Putting forward a critique of dominant strands of worker education, the authors ask what spaces exist for social…
ERIC Educational Resources Information Center
Namdar, Bahadir
2017-01-01
The purpose of this study was to investigate preservice science teachers' collaborative knowledge building through socioscientific argumentation on healthy eating in a multiple representation-rich computer supported collaborative learning (CSCL) environment. This study was conducted with a group of preservice science teachers (n = 18) enrolled in…
ERIC Educational Resources Information Center
Tyson, Ruhi
2018-01-01
The approach of vocational Bildung didactics has been developed to investigate practical knowledge in matters of education for Bildung and phronesis (practical wisdom). Case narratives of unusual richness or success are at the core of the approach, each case representing an articulation of someone's practical knowledge. The concept of a practice…
Teaching science vs. the apprentice model--do we really have the choice?
Marckmann, G
2001-01-01
The debate about the appropriate methodology of medical education has been (and still is) dominated by the opposing poles of teaching science versus teaching practical skills. I will argue that this conflict between scientific education and practical training has its roots in the underlying, more systematic question about the conceptual foundation of medicine: how far or in what respects can medicine be considered to be a science? By analyzing the epistemological status of medicine I will show that the internal aim of medicine ("promoting health through the prevention and treatment of disease") differs from the internal aim of science ("the methodological and systematic acquisition of knowledge"). Therefore, medicine as a whole discipline should not be considered as a science. However, medicine can be conceptually and methodologically scientific in so much as it is based on scientific knowledge. There is evidence from cognitive science research that diagnostic reasoning not only relies on the application of scientific knowledge but also--especially in routine cases--on a process of pattern recognition, a reasoning strategy based on the memory of previously encountered patients. Hence, medical education must contain both: the imparting of scientific knowledge and the rich exposure to concrete cases during practical training. Hence, the question of teaching science vs. the apprentice model will not be "either-or" but rather "both--but in which proportion?"
Local Knowledge and Conservation of Seagrasses in the Tamil Nadu State of India
2011-01-01
Local knowledge systems are not considered in the conservation of fragile seagrass marine ecosystems. In fact, little is known about the utility of seagrasses in local coastal communities. This is intriguing given that some local communities rely on seagrasses to sustain their livelihoods and have relocated their villages to areas with a rich diversity and abundance of seagrasses. The purpose of this study is to assist in conservation efforts regarding seagrasses through identifying Traditional Ecological Knowledge (TEK) from local knowledge systems of seagrasses from 40 coastal communities along the eastern coast of India. We explore the assemblage of scientific and local traditional knowledge concerning the 1. classification of seagrasses (comparing scientific and traditional classification systems), 2. utility of seagrasses, 3. Traditional Ecological Knowledge (TEK) of seagrasses, and 4. current conservation efforts for seagrass ecosystems. Our results indicate that local knowledge systems consist of a complex classification of seagrass diversity that considers the role of seagrasses in the marine ecosystem. This fine-scaled ethno-classification gives rise to five times the number of taxa (10 species = 50 local ethnotaxa), each with a unique role in the ecosystem and utility within coastal communities, including the use of seagrasses for medicine (e.g., treatment of heart conditions, seasickness, etc.), food (nutritious seeds), fertilizer (nutrient rich biomass) and livestock feed (goats and sheep). Local communities are concerned about the loss of seagrass diversity and have considerable local knowledge that is valuable for conservation and restoration plans. This study serves as a case study example of the depth and breadth of local knowledge systems for a particular ecosystem that is in peril. Key words: local health and nutrition, traditional ecological knowledge (TEK), conservation and natural resources management, consensus, ethnomedicine, ethnotaxa, cultural heritage PMID:22112297
2012-01-01
Background We propose a new quantitative measure that enables the researcher to make decisions and test hypotheses about the distribution of knowledge in a community and estimate the richness and sharing of information among informants. In our study, this measure has two levels of analysis: intracultural and intrafamily. Methods Using data collected in northeastern Brazil, we evaluated how these new estimators of richness and sharing behave for different categories of use. Results We observed trends in the distribution of the characteristics of informants. We were also able to evaluate how outliers interfere with these analyses and how other analyses may be conducted using these indices, such as determining the distance between the knowledge of a community and that of experts, as well as exhibiting the importance of these individuals' communal information of biological resources. One of the primary applications of these indices is to supply the researcher with an objective tool to evaluate the scope and behavior of the collected data. PMID:22420565
Araújo, Thiago Antonio Sousa; Almeida, Alyson Luiz Santos; Melo, Joabe Gomes; Medeiros, Maria Franco Trindade; Ramos, Marcelo Alves; Silva, Rafael Ricardo Vasconcelos; Almeida, Cecília Fátima Castelo Branco Rangel; Albuquerque, Ulysses Paulino
2012-03-15
We propose a new quantitative measure that enables the researcher to make decisions and test hypotheses about the distribution of knowledge in a community and estimate the richness and sharing of information among informants. In our study, this measure has two levels of analysis: intracultural and intrafamily. Using data collected in northeastern Brazil, we evaluated how these new estimators of richness and sharing behave for different categories of use. We observed trends in the distribution of the characteristics of informants. We were also able to evaluate how outliers interfere with these analyses and how other analyses may be conducted using these indices, such as determining the distance between the knowledge of a community and that of experts, as well as exhibiting the importance of these individuals' communal information of biological resources. One of the primary applications of these indices is to supply the researcher with an objective tool to evaluate the scope and behavior of the collected data.
Sexual selection predicts species richness across the animal kingdom.
Janicke, Tim; Ritchie, Michael G; Morrow, Edward H; Marie-Orleach, Lucas
2018-05-16
Our improving knowledge of the animal tree of life consistently demonstrates that some taxa diversify more rapidly than others, but what contributes to this variation remains poorly understood. An influential hypothesis proposes that selection arising from competition for mating partners plays a key role in promoting speciation. However, empirical evidence showing a link between proxies of this sexual selection and species richness is equivocal. Here, we collected standardized metrics of sexual selection for a broad range of animal taxa, and found that taxonomic families characterized by stronger sexual selection on males show relatively higher species richness. Thus, our data support the hypothesis that sexual selection elevates species richness. This could occur either by promoting speciation and/or by protecting species against extinction. © 2018 The Author(s).
iSMART: Ontology-based Semantic Query of CDA Documents
Liu, Shengping; Ni, Yuan; Mei, Jing; Li, Hanyu; Xie, Guotong; Hu, Gang; Liu, Haifeng; Hou, Xueqiao; Pan, Yue
2009-01-01
The Health Level 7 Clinical Document Architecture (CDA) is widely accepted as the format for electronic clinical document. With the rich ontological references in CDA documents, the ontology-based semantic query could be performed to retrieve CDA documents. In this paper, we present iSMART (interactive Semantic MedicAl Record reTrieval), a prototype system designed for ontology-based semantic query of CDA documents. The clinical information in CDA documents will be extracted into RDF triples by a declarative XML to RDF transformer. An ontology reasoner is developed to infer additional information by combining the background knowledge from SNOMED CT ontology. Then an RDF query engine is leveraged to enable the semantic queries. This system has been evaluated using the real clinical documents collected from a large hospital in southern China. PMID:20351883
Talsma, Elise F.; Melse-Boonstra, Alida; de Kok, Brenda P. H.; Mbera, Gloria N. K.; Mwangi, Alice M.; Brouwer, Inge D.
2013-01-01
Background Biofortification of cassava with pro-vitamin A can potentially reduce vitamin A deficiency in low-income countries. However, little is known about consumer acceptance of this deep yellow variety of cassava compared to the commonly available white varieties. We aimed to determine the sensory and cultural acceptability of the consumption of pro-vitamin A rich cassava in order to identify key factors predicting the intention to consume pro-vitamin A rich cassava by families with school-aged children in Eastern Kenya. Methods Sensory acceptability was measured by replicated discrimination tests and paired preference tests among 30 children (7–12 yr) and 30 caretakers (18–45 yr) in three primary schools. Cultural acceptability was assessed with a questionnaire based on the combined model of The Theory of Planned Behavior and The Health Belief Model in one primary school among 140 caretakers of children aged 6 to 12 years. Correlations and multivariate analyses were used to determine associations between summed scores for model constructs. Results Caretakers and children perceived a significant difference in taste between white and pro-vitamin A rich cassava. Both preferred pro-vitamin A rich cassava over white cassava because of its soft texture, sweet taste and attractive color. Knowledge about pro-vitamin A rich cassava and it's relation to health (‘Knowledge’ ((β = 0.29, P = <.01)) was a strong predictor of ‘Health behavior identity’. Worries related to bitter taste and color (‘Perceived barriers 1’ (β = −0.21, P = .02)), the belief of the caretaker about having control to prepare cassava (‘Control beliefs’ (β = 0.18, P = .02)) and activities like information sessions about pro-vitamin A rich cassava and recommendations from health workers (‘Cues to action’(β = 0.51, P = <.01)) were the best predictors of intention to consume pro-vitamin A rich cassava. Conclusions Pro-vitamin A rich cassava is well accepted by school children in our study population. PMID:24023681
NASA Astrophysics Data System (ADS)
Baidya, Abu Saeed; Sen, Atlanta; Pal, Dipak C.
2018-06-01
The Khetri Copper Belt (KCB), a part of the Proterozoic Delhi-Aravalli fold belt in western India, hosts several Cu deposits, which are known to contain considerable Au, Ag, Co and Ni. Although many Co-bearing phases have been reported from the KCB and adjacent areas, detailed textural and geochemical data are either unavailable or scant except for mackinawite. In this study, we describe the textures and compositions (determined by EPMA) of two very rare Co-rich phases, namely cobaltian mackinawite (containing up to 12.68 wt.% Co, 1.90 wt.% Ni and 2.52 wt.% Cu) and cobalt-pentlandite (containing up to 49.30 wt.% Co and 10.19 wt.% Ni), identified based on composition, from the Madan-Kudan deposit. To the best of our knowledge, neither cobalt-pentlandite nor such highly Co-rich mackinawite have previously been reported from this area. The common sulphide minerals viz. chalcopyrite, pyrrhotite and rare pyrite occur in chalcopyrite-pyrrhotite ± pyrite-magnetite-chlorite-blue amphibole (Cl-rich hastingsite-pargasite-sadanagaite) ± marialitic scapolite ± allanite ± uraninite veins in amphibole-bearing feldspathic quartzite and garnetiferous chlorite schist. Cobaltian mackinawite is invariably associated with chalcopyrite and occurs as exsolution and inclusion within chalcopyrite or outside, but at the contact of chalcopyrite. On the other hand, cobalt-pentlandite is invariably associated with pyrrhotite and shows similar textural relation with pyrrhotite as that of mackinawite with chalcopyrite. Mineralogically diverse undeformed sulphide veins comprising Cl-rich amphibole and locally Cl-rich marialitic scapolite suggests epigenetic hydrothermal mineralization involving Cl-rich saline fluid in the Madan-Kudan deposit. Transport of metals, derived from a mafic source rock with high intrinsic Ni:Co ratio, by Cl-rich fluid can suitably explain the high Co:Ni ratio of the studied ore minerals. Presence of such highly Co-rich phases and other circumstantial evidences, enumerated in this work, are consistent with variants of Fe oxide (-Cu-Au) (IOCG) style mineralization, at least for some stages of mineralization in the Madan-Kudan deposit.
Altieri, Roberto; Sameshima, Tetsuro; Pacca, Paolo; Crobeddu, Emanuela; Garbossa, Diego; Ducati, Alessandro; Zenga, Francesco
2017-04-01
Petroclival meningiomas are a challenge for neurosurgeons due to the complex anatomy of the region that is rich of vessels and nerves. A perfect and detailed knowledge of the anatomy is very demanding in neurosurgery, especially in skull base surgery. The authors describe the microsurgical anatomy to perform an anterior petrosectomy based on their anatomical and surgical experience and perform a literature review. The temporal bone is the most complex and fascinating bone of skull base. The apex is located in the angle between the greater wing of the sphenoid and the occipital bone. Removing the petrous apex exposes the clivus. The approach directed through the temporal bone in this anatomical area is referred to as an anterior petrosectomy. The area that must be drilled is the rhomboid fossa that is defined by the Kawase, premeatal, and postmeatal triangles. In Division of Neurosurgery - University of Turin, 130 patients, from August 2013 to September 2015, underwent surgical resection of intracranial meningiomas. In this group, we have operated 7 PCMs and 5 of these were approached performing an anterior petrosectomy with good results. In our conclusions, we feel that this surgery require an advanced knowledge of human anatomy and a specialized training in interpretation of radiological and microsurgical anatomy both in the dissection lab and in the operating room.
A Study of Faculty Approaches to Teaching Undergraduate Physical Chemistry Courses
NASA Astrophysics Data System (ADS)
Mack, Michael Ryan
Chemistry education researchers have not adequately studied teaching and learning experiences at all levels in the undergraduate chemistry curriculum leaving gaps in discipline-based STEM education communities understanding about how the upper- division curricula works (National Research Council, 2012b; Towns, 2013). This study explored faculty approaches to teaching in upper-division physical chemistry course settings using an interview-based methodology. Two conceptualizations of approaches to teaching emerged from a phenomenographic analysis of interview transcripts: (1) faculty beliefs about the purposes for teaching physical chemistry and (2) their conceptions of their role as an instructor in these course settings. Faculty who reported beliefs predominantly centered on helping students develop conceptual knowledge and problem-solving skills in physical chemistry often worked with didactic models of teaching, which emphasized the transfer of expert knowledge to students. When faculty expressed beliefs that were more inclusive of conceptual, epistemic, and social learning goals in science education they often described more student-centered models of teaching and learning, which put more responsibilities on them to facilitate students' interactive engagement with the material and peers during regularly scheduled class time. Knowledge of faculty thinking, as evinced in a rich description of their accounts of their experience, provides researchers and professional developers with useful information about the potential opportunities or barriers that exist for helping faculty align their beliefs and goals for teaching with research-based instructional strategies.
A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information.
Wei, Wei; Gao, Bin; Liu, Tie-Yan; Wang, Taifeng; Li, Guohui; Li, Hang
2016-04-01
Graph-based ranking has been extensively studied and frequently applied in many applications, such as webpage ranking. It aims at mining potentially valuable information from the raw graph-structured data. Recently, with the proliferation of rich heterogeneous information (e.g., node/edge features and prior knowledge) available in many real-world graphs, how to effectively and efficiently leverage all information to improve the ranking performance becomes a new challenging problem. Previous methods only utilize part of such information and attempt to rank graph nodes according to link-based methods, of which the ranking performances are severely affected by several well-known issues, e.g., over-fitting or high computational complexity, especially when the scale of graph is very large. In this paper, we address the large-scale graph-based ranking problem and focus on how to effectively exploit rich heterogeneous information of the graph to improve the ranking performance. Specifically, we propose an innovative and effective semi-supervised PageRank (SSP) approach to parameterize the derived information within a unified semi-supervised learning framework (SSLF-GR), then simultaneously optimize the parameters and the ranking scores of graph nodes. Experiments on the real-world large-scale graphs demonstrate that our method significantly outperforms the algorithms that consider such graph information only partially.
Using Modern Technologies to Capture and Share Indigenous Astronomical Knowledge
NASA Astrophysics Data System (ADS)
Nakata, Martin; Hamacher, Duane W.; Warren, John; Byrne, Alex; Pagnucco, Maurice; Harley, Ross; Venugopal, Srikumar; Thorpe, Kirsten; Neville, Richard; Bolt, Reuben
2014-06-01
Indigenous Knowledge is important for Indigenous communities across the globe and for the advancement of our general scientific knowledge. In particular, Indigenous astronomical knowledge integrates many aspects of Indigenous Knowledge, including seasonal calendars, navigation, food economics, law, ceremony, and social structure. Capturing, managing, and disseminating this knowledge in the digital environment poses a number of challenges, which we aim to address using a collaborative project emerging between experts in the higher education, library, archive and industry sectors. Using Microsoft's WorldWide Telescope and Rich Interactive Narratives technologies, we propose to develop software, media design, and archival management solutions to allow Indigenous communities to share their astronomical knowledge with the world on their terms and in a culturally sensitive manner.
Lötsch, Jörn; Kringel, Dario
2018-06-01
The novel research area of functional genomics investigates biochemical, cellular, or physiological properties of gene products with the goal of understanding the relationship between the genome and the phenotype. These developments have made analgesic drug research a data-rich discipline mastered only by making use of parallel developments in computer science, including the establishment of knowledge bases, mining methods for big data, machine-learning, and artificial intelligence, (Table ) which will be exemplarily introduced in the following. © 2018 The Authors Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.
Queralt-Rosinach, Núria; Piñero, Janet; Bravo, Àlex; Sanz, Ferran; Furlong, Laura I
2016-07-15
DisGeNET-RDF makes available knowledge on the genetic basis of human diseases in the Semantic Web. Gene-disease associations (GDAs) and their provenance metadata are published as human-readable and machine-processable web resources. The information on GDAs included in DisGeNET-RDF is interlinked to other biomedical databases to support the development of bioinformatics approaches for translational research through evidence-based exploitation of a rich and fully interconnected linked open data. http://rdf.disgenet.org/ support@disgenet.org. © The Author 2016. Published by Oxford University Press.
ERIC Educational Resources Information Center
Ellis, Raquel
2017-01-01
Desert Elementary is a suburban Phoenix K-5 school. The school has undergone a significant change in its approach to reading instruction due to the Common Core State Standards (CCSS) instructional shift of building knowledge through content rich nonfiction. Teachers implemented this shift in their classrooms through a 16-month professional…
ERIC Educational Resources Information Center
Takayama, Keita
2016-01-01
Against the current infatuation with Asia in Australian education, this article rearticulates the notion of "Asia literacy" to explore new ways of researching on/with/through Asia. Drawing on the post-colonial critique of Western social science knowledge, I first demonstrate the problematic nature of Australian knowledge production on…
ERIC Educational Resources Information Center
Wagner, Glenn
2017-01-01
Student-generated questions and ideas about our universe are the start of a rich and highly motivating learning environment. Using their curiosity-driven questions and ideas, students form Knowledge Building groups or "communities" where they plan, set goals, design questions for research, and assess the progress of their work, tasks…
The History of the Discovery of Blood Circulation: Unrecognized Contributions of Ayurveda Masters
ERIC Educational Resources Information Center
Patwardhan, Kishor
2012-01-01
Ayurveda, the native healthcare system of India, is a rich resource of well-documented ancient medical knowledge. Although the roots of this knowledge date back to the Vedic and post-Vedic eras, it is generally believed that a dedicated branch for healthcare was gradually established approximately between 400 BCE and 200 CE. Probably because the…
ERIC Educational Resources Information Center
Byrne, Jenny
2011-01-01
This paper describes the expressed models that children aged 7, 11, and 14 years have about micro-organisms and microbial activity. These were elicited using a variety of data collection techniques that complemented each other, resulting in a rich dataset, and provided information about the level of knowledge and progression of ideas across the…
ERIC Educational Resources Information Center
Singh-Pillay, Asheena; Alant, Busisiwe P.; Nwokocha, Godson
2017-01-01
The discussion on how to integrate African indigenous knowledge (IK) into mainstream Science and Technology schooling prevails. Nigeria's colonised school curriculum is antithetical to its rich IK heritage. Guided by postcolonial theory, and the need for a culturally relevant and decolonised curriculum, this paper sought to explore seven basic 7-9…
NASA Astrophysics Data System (ADS)
Moxey, L.; Dias, R. K.; Legaspi, E.
2011-12-01
During the summer of 2011, the Mālama Ke Ahupua`a (to care of our watershed) GEARUP summer program provided 25 under-served and under-represented minority public high school students (Hawaiian, part-Hawaiian, Filipino, Pacific Islanders) from Farrington High School (Kalihi, Honolulu) with a hands-on place-based multidiscipline course located within Manoa Valley (Ahupua`a O Kona) with the objective of engaging participants in scientific environmental investigations while exploring Hawaii's linkages between traditional knowledge, culture and science. The 4-week field program enabled students to collect samples along the perennial Manoa Stream and conduct water quality assessments throughout the Manoa watershed. Students collected science quality data from eight different sampling stations by means of field- and laboratory-based quantitative water quality testing equipment and GPS/GIS technology. While earning Hawaii DOE academic credits, students were able to document changes along the stream as related to pollution and urbanization. While conducting the various scientific investigations, students also participated in cultural fieldtrips and activities that highlighted the linkages between historical sustainable watershed uses by native Hawaiian communities, and their connections with natural earth processes. Additionally, students also participated in environmental service-learning projects that highlight the Hawaiian values of laulima (teamwork), mālama (to care for), and imi `ike (to seek knowledge). By contextualizing and merging hands-on place-based earth science inquiry with native Hawaiian traditional knowledge, students experienced the natural-cultural significance of their ahupua`a (watershed). This highlighted the advantages for promoting environmental literacy and geoscience education to under-served and under-represented minority populations in Hawaii from a rich native Hawaiian cultural framework.
Highly Efficient and Stable Sn-Rich Perovskite Solar Cells by Introducing Bromine.
Lee, Seojun; Kang, Dong-Won
2017-07-12
Compositional engineering of recently arising methylammonium (MA) lead (Pb) halide based perovskites is an essential approach for finding better perovskite compositions to resolve still remaining issues of toxic Pb, long-term instability, etc. In this work, we carried out crystallographic, morphological, optical, and photovoltaic characterization of compositional MASn 0.6 Pb 0.4 I 3-x Br x by gradually introducing bromine (Br) into parental Pb-Sn binary perovskite (MASn 0.6 Pb 0.4 I 3 ) to elucidate its function in Sn-rich (Sn:Pb = 6:4) perovskites. We found significant advances in crystallinity and dense coverage of the perovskite films by inserting the Br into Sn-rich perovskite lattice. Furthermore, light-intensity-dependent open circuit voltage (V oc ) measurement revealed much suppressed trap-assisted recombination for a proper Br-added (x = 0.4) device. These contributed to attaining the unprecedented power conversion efficiency of 12.1% and V oc of 0.78 V, which are, to the best of our knowledge, the highest performance in the Sn-rich (≥60%) perovskite solar cells reported so far. In addition, impressive enhancement of photocurrent-output stability and little hysteresis were found, which paves the way for the development of environmentally benign (Pb reduction), stable monolithic tandem cells using the developed low band gap (1.24-1.26 eV) MASn 0.6 Pb 0.4 I 3-x Br x with suggested composition (x = 0.2-0.4).
NASA Astrophysics Data System (ADS)
Kurth, Lori Ann
2000-10-01
In light of continuing poor performance by American students in school science, feminists and sociocultural researchers have demonstrated that we need to look beyond content to address the science needs of all school children. In this study I examined issues of discourse norms, knowledge, language and subjectivities (meaning personal and social observations and characteristics) in elementary science. Over a two-year period, I used an interpretive methodological approach to investigate science experiences in two first-second and second grade classrooms. I first established some of the norms and characteristics of the discourse communities through case studies of new students attempting to gain entry to whole class conversations. I then examined knowledge, a central focus of science education addressed by a variety of theoretical approaches. In these classrooms students co-constructed and built knowledge in their whole class science conversations sometimes following convergent (similar knowledge) and, at other times, divergent (differing knowledge) paths allowing for broader discourse. In both paths, there was gendered construction of knowledge in which same gender students elaborated the reasoning of previous speakers. In conjunction with these analyses, I examined what knowledge sources the students used in their science conversations. Students drew on a variety of informal and formal knowledge sources including personal experiences, other students, abstract logic and thought experiments, all of which were considered valid. In using sources from both in and out of school, students' knowledge bases were broader than traditional scientific content giving greater access and richness to their conversations. The next analysis focused on students' use of narrative and paradigmatic language forms in the whole class science conversations. Traditionally, only paradigmatic language forms have been used in science classrooms. The students in this study used both narrative and paradigmatic language by drawing on stories of personal experience as well as canonical scientific argument. As had the varied knowledge paths and sources, the use of both language forms contributed to a broader and richer scientific discourse. Finally, in studying students' written discourse through their journals, I found that students had expanded views of science as they incorporated many aspects of their subjective selves including self and human elements, thinking, emotions, etc. in their writing and drawing. The enactment of knowledge, language and subjectivities in these discourse communities was unique, rich and meaningful highlighting a broader, more accessible vision of science. I advocate that knowledge, language and subjectivities should be central concepts in the practices of science communities as demonstrated in these classrooms. In establishing and integrating these concepts, the use of alternative and traditional modes of expression should be supported as both necessary and complementary. Students and teachers must also jointly construct classroom discourse norms, talk and writing in specific ways in order to provide a safe, comfortable and meaningful learning environment. Many teachers, students and scientists would benefit from broader visions of science, which enrich scientific knowledge and practice and engage and value participants from many backgrounds.
Biorefining of wheat straw using an acetic and formic acid based organosolv fractionation process.
Snelders, Jeroen; Dornez, Emmie; Benjelloun-Mlayah, Bouchra; Huijgen, Wouter J J; de Wild, Paul J; Gosselink, Richard J A; Gerritsma, Jort; Courtin, Christophe M
2014-03-01
To assess the potential of acetic and formic acid organosolv fractionation of wheat straw as basis of an integral biorefinery concept, detailed knowledge on yield, composition and purity of the obtained streams is needed. Therefore, the process was performed, all fractions extensively characterized and the mass balance studied. Cellulose pulp yield was 48% of straw dry matter, while it was 21% and 27% for the lignin and hemicellulose-rich fractions. Composition analysis showed that 67% of wheat straw xylan and 96% of lignin were solubilized during the process, resulting in cellulose pulp of 63% purity, containing 93% of wheat straw cellulose. The isolated lignin fraction contained 84% of initial lignin and had a purity of 78%. A good part of wheat straw xylan (58%) ended up in the hemicellulose-rich fraction, half of it as monomeric xylose, together with proteins (44%), minerals (69%) and noticeable amounts of acids used during processing. Copyright © 2014 Elsevier Ltd. All rights reserved.
Wildlife-friendly farming benefits rare birds, bees and plants.
Pywell, Richard F; Heard, Matthew S; Bradbury, Richard B; Hinsley, Shelley; Nowakowski, Marek; Walker, Kevin J; Bullock, James M
2012-10-23
Agricultural intensification is a leading cause of global biodiversity loss, especially for threatened and near-threatened species. One widely implemented response is 'wildlife-friendly farming', involving the close integration of conservation and extensive farming practices within agricultural landscapes. However, the putative benefits from this controversial policy are currently either unknown or thought unlikely to extend to rare and declining species. Here, we show that new, evidence-based approaches to habitat creation on intensively managed farmland in England can achieve large increases in plant, bee and bird species. In particular, we found that habitat enhancement methods designed to provide the requirements of sensitive target biota consistently increased the richness and abundance of both rare and common species, with 10-fold to greater than 100-fold more rare species per sample area than generalized conventional conservation measures. Furthermore, targeting landscapes of high species richness amplified beneficial effects on the least mobile taxa: plants and bees. Our results provide the first unequivocal support for a national wildlife-friendly farming policy and suggest that this approach should be implemented much more extensively to address global biodiversity loss. However, to be effective, these conservation measures must be evidence-based, and developed using sound knowledge of the ecological requirements of key species.
Evidence-based periodontal therapy: An overview
Vijayalakshmi, R.; Anitha, V.; Ramakrishnan, T.; Sudhakar, Uma
2008-01-01
Dentists need to make clinical decisions based on limited scientific evidence. In clinical practice, a clinician must weigh a myriad of evidences every day. The goal of evidence-based dentistry is to help practitioners provide their patients with optimal care. This is achieved by integrating sound research evidence with personal clinical expertise and patient values to determine the best course of treatment. Periodontology has a rich background of research and scholarship. Therefore, efficient use of this wealth of research data needs to be a part of periodontal practice. Evidence-based periodontology aims to facilitate such an approach and it offers a bridge from science to clinical practice. The clinician must integrate the evidence with patient preference, scientific knowledge, and personal experience. Most important, it allows us to care for our patients. Therefore, evidence-based periodontology is a tool to support decision-making and integrating the best evidence available with clinical practice. PMID:20142947
Denison, Stephanie; Trikutam, Pallavi; Xu, Fei
2014-08-01
A rich tradition in developmental psychology explores physical reasoning in infancy. However, no research to date has investigated whether infants can reason about physical objects that behave probabilistically, rather than deterministically. Physical events are often quite variable, in that similar-looking objects can be placed in similar contexts with different outcomes. Can infants rapidly acquire probabilistic physical knowledge, such as some leaves fall and some glasses break by simply observing the statistical regularity with which objects behave and apply that knowledge in subsequent reasoning? We taught 11-month-old infants physical constraints on objects and asked them to reason about the probability of different outcomes when objects were drawn from a large distribution. Infants could have reasoned either by using the perceptual similarity between the samples and larger distributions or by applying physical rules to adjust base rates and estimate the probabilities. Infants learned the physical constraints quickly and used them to estimate probabilities, rather than relying on similarity, a version of the representativeness heuristic. These results indicate that infants can rapidly and flexibly acquire physical knowledge about objects following very brief exposure and apply it in subsequent reasoning. PsycINFO Database Record (c) 2014 APA, all rights reserved.
Testing Drugs and Trying Cures: Experiment and Medicine in Medieval and Early Modern Europe.
Leong, Elaine; Rankin, Alisha
2017-01-01
This article examines traditions of testing drugs (as substances) and trying cures (on patients) in medieval and early modern Europe. It argues that the history of drug testing needs to be a more central story to overall histories of scientific experiment. The practice of conducting thoughtful-and sometimes contrived-tests on drugs has a rich and varied tradition dating back to antiquity, which expanded in the Middle Ages and early modern period. Learned physicians paired text-based knowledge (reason) with hands-on testing (experience or experiment) in order to make claims about drugs' properties or effects on humans. Lay practitioners similarly used hands-on testing to gain knowledge of pharmaceutical effects. Although drug testing practices expanded in scale, actors, and sites, therpublished a work extolling the virtues of drugs froe was significant continuity from the Middle Ages to the eighteenth century.
Computational knowledge integration in biopharmaceutical research.
Ficenec, David; Osborne, Mark; Pradines, Joel; Richards, Dan; Felciano, Ramon; Cho, Raymond J; Chen, Richard O; Liefeld, Ted; Owen, James; Ruttenberg, Alan; Reich, Christian; Horvath, Joseph; Clark, Tim
2003-09-01
An initiative to increase biopharmaceutical research productivity by capturing, sharing and computationally integrating proprietary scientific discoveries with public knowledge is described. This initiative involves both organisational process change and multiple interoperating software systems. The software components rely on mutually supporting integration techniques. These include a richly structured ontology, statistical analysis of experimental data against stored conclusions, natural language processing of public literature, secure document repositories with lightweight metadata, web services integration, enterprise web portals and relational databases. This approach has already begun to increase scientific productivity in our enterprise by creating an organisational memory (OM) of internal research findings, accessible on the web. Through bringing together these components it has also been possible to construct a very large and expanding repository of biological pathway information linked to this repository of findings which is extremely useful in analysis of DNA microarray data. This repository, in turn, enables our research paradigm to be shifted towards more comprehensive systems-based understandings of drug action.
Model for Semantically Rich Point Cloud Data
NASA Astrophysics Data System (ADS)
Poux, F.; Neuville, R.; Hallot, P.; Billen, R.
2017-10-01
This paper proposes an interoperable model for managing high dimensional point clouds while integrating semantics. Point clouds from sensors are a direct source of information physically describing a 3D state of the recorded environment. As such, they are an exhaustive representation of the real world at every scale: 3D reality-based spatial data. Their generation is increasingly fast but processing routines and data models lack of knowledge to reason from information extraction rather than interpretation. The enhanced smart point cloud developed model allows to bring intelligence to point clouds via 3 connected meta-models while linking available knowledge and classification procedures that permits semantic injection. Interoperability drives the model adaptation to potentially many applications through specialized domain ontologies. A first prototype is implemented in Python and PostgreSQL database and allows to combine semantic and spatial concepts for basic hybrid queries on different point clouds.
Vaz-Silva, W; Oliveira, R M; Gonzaga, A F N; Pinto, K C; Poli, F C; Bilce, T M; Penhacek, M; Wronski, L; Martins, J X; Junqueira, T G; Cesca, L C C; Guimarães, V Y; Pinheiro, R D
2015-08-01
The region of Volta Grande do Xingu River, in the state of Pará, presents several kinds of land use ranging from extensive cattle farming to agroforestry, and deforestation. Currently, the Belo Monte Hydroelectric Power Plant affects the region. We present a checklist of amphibians and reptiles of the region and discuss information regarding the spatial distribution of the assemblies based on results of Environmental Programmes conducted in the area. We listed 109 amphibian (Anura, Caudata, and Gymnophiona) and 150 reptile (Squamata, Testudines, and Crocodylia) species. The regional species richness is still considered underestimated, considering the taxonomic uncertainty, complexity and cryptic diversity of various species, as observed in other regions of the Amazon biome. Efforts for scientific collection and studies related to integrative taxonomy are needed to elucidate uncertainties and increase levels of knowledge of the local diversity.
Electronic Mail and Organizational Knowledge: Media use in a Global Corporation
1993-12-01
in a message , without subjecting these marginal parties to the burdens of interruption and information overload. Thi2 d:.-~ , for Publicý QPP’Oved...richness: (a) the availability of instant feedback, (b) the capacity of the medium to transmit multiple cues, (c) the use of natural language, and (d) the...complex, emotional , and social interaction. Both the media richness and social presence theories lead to a congruency hypothesis that people whose jobs
The "periodic table" of the genetic code: A new way to look at the code and the decoding process.
Komar, Anton A
2016-01-01
Henri Grosjean and Eric Westhof recently presented an information-rich, alternative view of the genetic code, which takes into account current knowledge of the decoding process, including the complex nature of interactions between mRNA, tRNA and rRNA that take place during protein synthesis on the ribosome, and it also better reflects the evolution of the code. The new asymmetrical circular genetic code has a number of advantages over the traditional codon table and the previous circular diagrams (with a symmetrical/clockwise arrangement of the U, C, A, G bases). Most importantly, all sequence co-variances can be visualized and explained based on the internal logic of the thermodynamics of codon-anticodon interactions.
NASA Astrophysics Data System (ADS)
Kiger, Brandon S.
The increasing worldwide demand for energy will provide Energy Rich Regions (ERRs) the opportunity to increase their wealth and quality of living. However, a reoccurring pattern of boom and bust cycles in ERRs suggests the need for more sustainable development strategies. A mixed methods approach (case study) is employed to explore the "wicked human problems" occurring in one community, Moundsville, WV and to discover development patterns that might inform sustainable development strategies for the future. This study explores briefly the distant past development patterns, and in greater detail the pre-boom and most current boom in natural gas. First, data will be derived from a conceptual "Energy Rich Region Template" that explores the sustainability of development from the inclusive wealth forms of natural, human, and physical capital. The qualitative data analysis software (MAXQDA) is used to systematically collect and organize data and information into a community-wide knowledge base (specifically the seven years of city council minutes). This framework can assist future research dedicated to similar cases. Furthermore, this case may support communities and or policymakers in the development of a programming guide for converting the natural capital into other reproducible capital forms, thus avoiding the development cycle of boom and bust.
Logue, Jürg Brendan; Langenheder, Silke; Andersson, Anders F; Bertilsson, Stefan; Drakare, Stina; Lanzén, Anders; Lindström, Eva S
2012-01-01
A central goal in ecology is to grasp the mechanisms that underlie and maintain biodiversity and patterns in its spatial distribution can provide clues about those mechanisms. Here, we investigated what might determine the bacterioplankton richness (BR) in lakes by means of 454 pyrosequencing of the 16S rRNA gene. We further provide a BR estimate based upon a sampling depth and accuracy, which, to our knowledge, are unsurpassed for freshwater bacterioplankton communities. Our examination of 22 669 sequences per lake showed that freshwater BR in fourteen nutrient-poor lakes was positively influenced by nutrient availability. Our study is, thus, consistent with the finding that the supply of available nutrients is a major driver of species richness; a pattern that may well be universally valid to the world of both micro- and macro-organisms. We, furthermore, observed that BR increased with elevated landscape position, most likely as a consequence of differences in nutrient availability. Finally, BR decreased with increasing lake and catchment area that is negative species–area relationships (SARs) were recorded; a finding that re-opens the debate about whether positive SARs can indeed be found in the microbial world and whether positive SARs can in fact be pronounced as one of the few ‘laws' in ecology. PMID:22170419
The distribution of cultural and biological diversity in Africa.
Moore, Joslin L; Manne, Lisa; Brooks, Thomas; Burgess, Neil D; Davies, Robert; Rahbek, Carsten; Williams, Paul; Balmford, Andrew
2002-01-01
Anthropologists, biologists and linguists have all noted an apparent coincidence in species diversity and human cultural or linguistic diversity. We present, to our knowledge, one of the first quantitative descriptions of this coincidence and show that, for 2 degrees x 2 degrees grid cells across sub-Saharan Africa, cultural diversity and vertebrate species diversity exhibit marked similarities in their overall distribution. In addition, we show that 71% of the observed variation in species richness and 36% in language richness can be explained on the basis of environmental factors, suggesting that similar factors, especially those associated with rainfall and productivity, affect the distributions of both species and languages. Nevertheless, the form of the relationships between species richness and language richness and environmental factors differs, and it is unlikely that comparable mechanisms underpin the similar patterns of species and language richness. Moreover, the fact that the environmental factors considered here explain less than half of the variation in language richness indicates that other factors, many of which are likely to be historical or social, also influence the distribution of languages. PMID:12204124
Abundances in red giant stars - Carbon and oxygen isotopes in carbon-rich molecular envelopes
NASA Technical Reports Server (NTRS)
Wannier, P. G.; Sahai, R.
1987-01-01
Millimeter-wave observations have been made of isotopically substituted CO toward the envelopes of 11 carbon-rich stars. In every case, C-13O was detected and model calculations were used to estimate the C-12/C-13 abundance ratio. C-17O was detected toward three, and possibly four, envelopes, with sensitive upper limits for two others. The CO-18 variant was detected in two envelopes. New results include determinations of oxygen isotopic ratios in the two carbon-rich protoplanetary nebulae CRL 26688 and CRL 618. As with other classes of red giant stars, the carbon-rich giants seem to be significantly, though variably, enriched in O-17. These results, in combination with observations in interstellar molecular clouds, indicate that current knowledge of stellar production of the CNO nuclides is far from satisfactory.
Mineralogy controls on reactive transport of Marcellus Shale waters.
Cai, Zhang; Wen, Hang; Komarneni, Sridhar; Li, Li
2018-07-15
Produced or flowback waters from Marcellus Shale gas extraction (MSWs) typically are highly saline and contain chemicals including trace metals, which pose significant concerns on water quality. The natural attenuation of MSW chemicals in groundwater is poorly understood due to the complex interactions between aquifer minerals and MSWs, limiting our capabilities to monitor and predict. Here we combine flow-through experiments and process-based reactive transport modeling to understand mechanisms and quantify the retention of MSW chemicals in a quartz (Qtz) column, a calcite-rich (Cal) column, and a clay-rich (Vrm, vermiculite) column. These columns were used to represent sand, carbonate, and clay-rich aquifers. Results show that the types and extent of water-rock interactions differ significantly across columns. Although it is generally known that clay-rich media retard chemicals and that quartz media minimize water-rock interactions, results here have revealed insights that differ from previous thoughts. We found that the reaction mechanisms are much more complex than merely sorption and mineral precipitation. In clay rich media, trace metals participate in both ion exchange and mineral precipitation. In fact, the majority of metals (~50-90%) is retained in the solid via mineral precipitation, which is surprising because we typically expect the dominance of sorption in clay-rich aquifers. In the Cal column, trace metals are retained not only through precipitation but also solid solution partitioning, leading to a total of 75-99% retention. Even in the Qtz column, trace metals are retained at unexpectedly high percentages (~20-70%) due to precipitation. The reactive transport model developed here quantitatively differentiates the relative importance of individual processes, and bridges a limited number of experiments to a wide range of natural conditions. This is particularly useful where relatively limited knowledge and data prevent the prediction of complex rock-contaminant interactions and natural attenuation. Copyright © 2018 Elsevier B.V. All rights reserved.
Harvesting Intelligence in Multimedia Social Tagging Systems
NASA Astrophysics Data System (ADS)
Giannakidou, Eirini; Kaklidou, Foteini; Chatzilari, Elisavet; Kompatsiaris, Ioannis; Vakali, Athena
As more people adopt tagging practices, social tagging systems tend to form rich knowledge repositories that enable the extraction of patterns reflecting the way content semantics is perceived by the web users. This is of particular importance, especially in the case of multimedia content, since the availability of such content in the web is very high and its efficient retrieval using textual annotations or content-based automatically extracted metadata still remains a challenge. It is argued that complementing multimedia analysis techniques with knowledge drawn from web social annotations may facilitate multimedia content management. This chapter focuses on analyzing tagging patterns and combining them with content feature extraction methods, generating, thus, intelligence from multimedia social tagging systems. Emphasis is placed on using all available "tracks" of knowledge, that is tag co-occurrence together with semantic relations among tags and low-level features of the content. Towards this direction, a survey on the theoretical background and the adopted practices for analysis of multimedia social content are presented. A case study from Flickr illustrates the efficiency of the proposed approach.
Franco, Eduardo L.; de Sanjose, Silvia; Broker, Thomas R.; Stanley, Margaret A.; Chevarie-Davis, Myriam; Isidean, Sandra D.; Schiffman, Mark
2015-01-01
The recognition that human papillomavirus (HPV) infection is the central, necessary cause of cervical cancer paved the way to new fronts of prevention via improved screening methods and HPV vaccination. Much has been learned in all fronts, from the molecular basis of our understanding of how HPV causes disease to the health economics of preventive strategies at the individual and population levels. Progress in other areas of cancer control has yet to show the same multi- and trans-disciplinary gains seen in research on HPV-associated malignancies, which is one of the unequivocal success stories in disease prevention. Yet, as an embarrassment of riches, much more research is needed to fill the gaps in knowledge that remain before we are able to reap the benefits from the knowledge translation from all fronts. Public health research on setting-specific implementation of HPV-based preventive strategies and more concerted advocacy to counter barriers facing the adoption of these strategies are likely to yield major dividends in reducing the burden of HPV-associated diseases. PMID:23199961
Knowledge Management for Command and Control
2004-06-01
interfaces relies on rich visual and conceptual understanding of what is sketched, rather than the pattern-recognition technologies that most systems use...recognizers) required by other approaches. • The underlying conceptual representations that nuSketch uses enable it to serve as a front end to knowledge...constructing enemy-intent hypotheses via mixed visual and conceptual analogies. II.C. Multi-ViewPoint Clustering Analysis (MVP-CA) technology To
The Intention to Share: Professionals' Knowledge Sharing Behaviors in Online Communities
ERIC Educational Resources Information Center
Alajmi, Bibi M.
2011-01-01
Since the 1990s, the rise of some online communities as well as the decline of others has caught the attention of academia as well as of practice. One assumption for the decline of some online communities is the lack of the rich knowledge content that is believed to be the source of competitiveness and sustainability of any online community.…
Thinking About Multiword Constructions: Usage-Based Approaches to Acquisition and Processing.
Ellis, Nick C; Ogden, Dave C
2017-07-01
Usage-based approaches to language hold that we learn multiword expressions as patterns of language from language usage, and that knowledge of these patterns underlies fluent language processing. This paper explores these claims by focusing upon verb-argument constructions (VACs) such as "V(erb) about n(oun phrase)." These are productive constructions that bind syntax, lexis, and semantics. It presents (a) analyses of usage patterns of English VACs in terms of their grammatical form, semantics, lexical constituency, and distribution patterns in large corpora; (b) patterns of VAC usage in child-directed speech and child language acquisition; and (c) investigations of VAC free-association and psycholinguistic studies of online processing. We conclude that VACs are highly patterned in usage, that this patterning drives language acquisition, and that language processing is sensitive to the forms of the syntagmatic construction and their distributional statistics, the contingency of their association with meaning, and spreading activation and prototypicality effects in semantic reference. Language users have rich implicit knowledge of the statistics of multiword sequences. Copyright © 2017 Cognitive Science Society, Inc.
Realising the knowledge spiral in healthcare: the role of data mining and knowledge management.
Wickramasinghe, Nilmini; Bali, Rajeev K; Gibbons, M Chris; Schaffer, Jonathan
2008-01-01
Knowledge Management (KM) is an emerging business approach aimed at solving current problems such as competitiveness and the need to innovate which are faced by businesses today. The premise for the need for KM is based on a paradigm shift in the business environment where knowledge is central to organizational performance . Organizations trying to embrace KM have many tools, techniques and strategies at their disposal. A vital technique in KM is data mining which enables critical knowledge to be gained from the analysis of large amounts of data and information. The healthcare industry is a very information rich industry. The collecting of data and information permeate most, if not all areas of this industry; however, the healthcare industry has yet to fully embrace KM, let alone the new evolving techniques of data mining. In this paper, we demonstrate the ubiquitous benefits of data mining and KM to healthcare by highlighting their potential to enable and facilitate superior clinical practice and administrative management to ensue. Specifically, we show how data mining can realize the knowledge spiral by effecting the four key transformations identified by Nonaka of turning: (1) existing explicit knowledge to new explicit knowledge, (2) existing explicit knowledge to new tacit knowledge, (3) existing tacit knowledge to new explicit knowledge and (4) existing tacit knowledge to new tacit knowledge. This is done through the establishment of theoretical models that respectively identify the function of the knowledge spiral and the powers of data mining, both exploratory and predictive, in the knowledge discovery process. Our models are then applied to a healthcare data set to demonstrate the potential of this approach as well as the implications of such an approach to the clinical and administrative aspects of healthcare. Further, we demonstrate how these techniques can facilitate hospitals to address the six healthcare quality dimensions identified by the Committee for Quality Healthcare.
To ontologise or not to ontologise: An information model for a geospatial knowledge infrastructure
NASA Astrophysics Data System (ADS)
Stock, Kristin; Stojanovic, Tim; Reitsma, Femke; Ou, Yang; Bishr, Mohamed; Ortmann, Jens; Robertson, Anne
2012-08-01
A geospatial knowledge infrastructure consists of a set of interoperable components, including software, information, hardware, procedures and standards, that work together to support advanced discovery and creation of geoscientific resources, including publications, data sets and web services. The focus of the work presented is the development of such an infrastructure for resource discovery. Advanced resource discovery is intended to support scientists in finding resources that meet their needs, and focuses on representing the semantic details of the scientific resources, including the detailed aspects of the science that led to the resource being created. This paper describes an information model for a geospatial knowledge infrastructure that uses ontologies to represent these semantic details, including knowledge about domain concepts, the scientific elements of the resource (analysis methods, theories and scientific processes) and web services. This semantic information can be used to enable more intelligent search over scientific resources, and to support new ways to infer and visualise scientific knowledge. The work describes the requirements for semantic support of a knowledge infrastructure, and analyses the different options for information storage based on the twin goals of semantic richness and syntactic interoperability to allow communication between different infrastructures. Such interoperability is achieved by the use of open standards, and the architecture of the knowledge infrastructure adopts such standards, particularly from the geospatial community. The paper then describes an information model that uses a range of different types of ontologies, explaining those ontologies and their content. The information model was successfully implemented in a working geospatial knowledge infrastructure, but the evaluation identified some issues in creating the ontologies.
Internet-Based Laboratory Immersion: When The Real Deal is Not Available
NASA Astrophysics Data System (ADS)
Meisner, Gerald; Hoffman, Harol
2004-11-01
Do you want all of your students to investigate equilibrium conditions in the physics lab, but don't have time for lab investigations? Do your under-prepared students need basic, careful and detailed remedial work to help them succeed? LAAPhysics provides an answer to these questions by means of robust online physics courseware based on: (1) a sound, research-based pedagogy (2) a rich laboratory environment with skills and operational knowledge transferable to the wet lab' and (3) a paradigm which is economically scalable. LAAPhysics provides both synchronous and asynchronous learning experiences for an introductory, algebra-based course for students (undergraduate, AP High School, seekers of a second degree), those seeking career changes, and pre-service and in-service teachers. We have developed a simulated physics laboratory comprised of virtual lab equipment and instruments, associated curriculum modules and virtual guidance for real time feedback, formative assessment and collaborative learning.
Parker, Brian Corey; Myrick, Florence
2012-07-01
The use of the high-fidelity human patient simulator (HPS)-based clinical scenario in undergraduate nursing education is a powerful learning tool, well suited to modern nursing students' preference for immersive construction of knowledge through the provision of contextually rich reality-based practice and social discourse. The purpose of this study was to explore the social-psychological processes that occur within HPS-based clinical scenarios. Grounded theory method was used to study students and faculty sampled from a Western Canadian baccalaureate nursing program. The process of leveled coding generated a substantive theory that has the potential to enable educators to empower students through the use of fading support, a twofold process composed of adaptive scaffolding and dynamic assessment that challenges students to realistically self-regulate and transform their frame of reference for nursing practice, while limiting the threats that traditional HPS-based curriculum can impose. Copyright 2012, SLACK Incorporated.
Species richness in soil bacterial communities: a proposed approach to overcome sample size bias.
Youssef, Noha H; Elshahed, Mostafa S
2008-09-01
Estimates of species richness based on 16S rRNA gene clone libraries are increasingly utilized to gauge the level of bacterial diversity within various ecosystems. However, previous studies have indicated that regardless of the utilized approach, species richness estimates obtained are dependent on the size of the analyzed clone libraries. We here propose an approach to overcome sample size bias in species richness estimates in complex microbial communities. Parametric (Maximum likelihood-based and rarefaction curve-based) and non-parametric approaches were used to estimate species richness in a library of 13,001 near full-length 16S rRNA clones derived from soil, as well as in multiple subsets of the original library. Species richness estimates obtained increased with the increase in library size. To obtain a sample size-unbiased estimate of species richness, we calculated the theoretical clone library sizes required to encounter the estimated species richness at various clone library sizes, used curve fitting to determine the theoretical clone library size required to encounter the "true" species richness, and subsequently determined the corresponding sample size-unbiased species richness value. Using this approach, sample size-unbiased estimates of 17,230, 15,571, and 33,912 were obtained for the ML-based, rarefaction curve-based, and ACE-1 estimators, respectively, compared to bias-uncorrected values of 15,009, 11,913, and 20,909.
High temperature behavior of B2-based ruthenium aluminide systems
NASA Astrophysics Data System (ADS)
Cao, Fang
Ru-modified NiAl-based bond coats have the potential to improve the durability of Superalloy-Thermal Barrier Coating systems (TBCs) for advanced gas turbine engines. A fundamental understanding of the high temperature mechanical behavior across the Ni-Al-Ru B2 phase field can provide direction for the development of these new bond coats for TBCs. The purpose of this study has been to describe the fundamental processes of creep deformation in single phase B2 Ru-Al-Ni ternary alloys which would form the basis for the bond coats. To accomplish this, five ternary alloys with compositions located within the B2 field across the NiAl-RuAl phase region were fabricated and investigated. Special emphasis was placed on characterizing creep deformation and describing the operative creep mechanisms in these alloys. At room temperature, brittle failure was observed in the Ni-rich alloys in compression, while improved strength and ductility were displayed in two Ru-rich ternary alloys at temperatures up to 700°C. Exceptional creep strength was observed in these alloys, as compared to other high melting temperature B2 intermetallics. A continuous increase of the melting temperature and creep resistance with the increasing of the Ru/Ni ratio in these alloys was observed. Post-creep dislocation analyses identified the presence of <100> and <110> edge dislocations in the Ni-rich alloys, while uniformly distributed jogged <100> screw dislocations predominated in the Ru-rich ternary alloys. A transition of the creep mechanism from viscous glide controlled to jogged screw motion in these Ru-Al-Ni ternary B2 alloys with increasing Ru/Ni ratio is demonstrated by the characteristics of the creep deformation process, stress change creep tests, post-creep dislocation analyses, and numerical modeling. Additionally, the knowledge of the cyclic oxidation behavior of ruthenium aluminide-based alloy is essential, as many high-temperature applications for which this intermetallic might be utilized undergo repeated severe thermal cycling. Thus the second portion of this thesis focuses on the characterization of the cyclic oxidation properties of RuAl-based alloys. The cyclic oxidation behavior of six RuAl-based alloys was studied in air over the temperature range of 1000°C to 1300°C. Oxidation kinetics have been shown to be influenced by microstructure as well as the addition of platinum.
Platelet-Rich Blood Derivatives for Stem Cell-Based Tissue Engineering and Regeneration
Kaushik, Gaurav; Leijten, Jeroen; Khademhosseini, Ali
2016-01-01
Platelet rich blood derivatives have been widely used in different fields of medicine and stem cell based tissue engineering. They represent natural cocktails of autologous growth factor, which could provide an alternative for recombinant protein based approaches. Platelet rich blood derivatives, such as platelet rich plasma, have consistently shown to potentiate stem cell proliferation, migration, and differentiation. Here, we review the spectrum of platelet rich blood derivatives, discuss their current applications in tissue engineering and regenerative medicine, reflect on their effect on stem cells, and highlight current translational challenges. PMID:27047733
Reid, Thomas; Chaganti, Subba Rao; Droppo, Ian G; Weisener, Christopher G
2018-06-01
Baseline biogeochemical surveys of natural environments is an often overlooked field of environmental studies. Too often research begins once contamination has occurred, with a knowledge gap as to how the affected area behaved prior to outside (often anthropogenic) influences. These baseline characterizations can provide insight into proposed bioremediation strategies crucial in cleaning up chemical spill sites or heavily mined regions. Hence, this study was conducted to survey the in-situ microbial activity within freshwater hydrocarbon-rich environments cutting through the McMurray formation - the geologic strata constituting the oil sands. We are the first to report in-situ functional variations among these freshwater microbial ecosystems using metatranscriptomics, providing insight into the in-situ gene expression within these naturally hydrocarbon-rich sites. Key genes involved in energy metabolism (nitrogen, sulfur and methane) and hydrocarbon degradation, including transcripts relating to the observed expression of methane oxidation are reported. This information provides better linkages between hydrocarbon impacted environments, closing knowledge gaps for optimizing not only oil sands mine reclamation but also enhancing microbial reclamation strategies in various freshwater environments. These finding can also be applied to existing contaminated environments, in need of efficient reclamation efforts. Copyright © 2018 Elsevier Ltd. All rights reserved.
The use of wild vertebrates in contemporary Spanish ethnoveterinary medicine.
González, José A; Amich, Francisco; Postigo-Mota, Salvador; Vallejo, José Ramón
2016-09-15
This review documents the wide and varied repertoire of traditional practices based on the use of wild vertebrates in Spanish ethnoveterinary medicine (EVM) from the early 20th century to the present. Empirical practices, both ritual and magical, are recorded, and these EVM data are compared with those of other countries in the Mediterranean Region and Latin America. The data collected here could form a scientific foundation for future inventories of traditional knowledge and help in the discovery of new drugs for livestock. A qualitative systematic review of international and national databases in the fields of ethnobiology, ethnoveterinary medicine, folklore and ethnography was made. Information was obtained from more than 60 documentary sources. We recorded the use of 30 wild vertebrates and a total of 84 empirical remedies based on the use of a single species. The two most relevant zoological groups are reptiles and mammals. A wide diversity of body parts or products have been and are used. The meat and skin of snakes are the animal products most commonly used. These zootherapeutic resources have been and are used to treat or prevent ca. 50 animal diseases or conditions, in particular digestive and reproductive ailments, together with some infectious diseases. Sheep, cattle and equines form the group of domestic animals in which the greatest number of useful species are employed. In addition, many remedies and practices of the magical type are documented. In comparison with other culturally related areas, this is a rich heritage. Contemporary Spanish EVM practices amass a great richness of wild animal-based remedies. A diversity of animal parts or products have been used, offering a cultural heritage that could be a fundamental step in the discovery of new and low-cost drugs for treating livestock and alternative materials for pharmaceutical purposes. This overview contributes to the inventory of some uses and rituals seriously threatened by the progressive loss of local veterinary knowledge. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Bhatia, Poonam; Prakash, Ranjana; Prakash, N Tejo
2013-01-01
In an effort to produce selenium (Se)-fortifying edible mushrooms, five species of oyster mushroom (Pleurotus sp.), were cultivated on Se-rich wheat straw collected from a seleniferous belt of Punjab, India. Total selenium was analyzed in the selenium hyperaccumulated wheat straw and the fruiting bodies. Significantly high levels (p<0.0001) of Se uptake were observed in fruiting bodies of all mushrooms grown on Se-rich wheat straw. To the best of our knowledge, accumulation and quantification of selenium in mushrooms has hitherto not been reported with substrates naturally enriched with selenium. The results demonstrate the potential of selenium-rich agricultural residues as substrates for production of Se-enriched mushrooms and the ability of different species of oyster mushrooms to absorb and fortify selenium. The study envisages potential use of selenium-rich agricultural residues towards cultivation of Se-enriched mushrooms for application in selenium supplementation or neutraceutical preparations.
Pathways and Bioenergetics of Anaerobic Carbon Monoxide Fermentation.
Diender, Martijn; Stams, Alfons J M; Sousa, Diana Z
2015-01-01
Carbon monoxide can act as a substrate for different modes of fermentative anaerobic metabolism. The trait of utilizing CO is spread among a diverse group of microorganisms, including members of bacteria as well as archaea. Over the last decade this metabolism has gained interest due to the potential of converting CO-rich gas, such as synthesis gas, into bio-based products. Three main types of fermentative CO metabolism can be distinguished: hydrogenogenesis, methanogenesis, and acetogenesis, generating hydrogen, methane and acetate, respectively. Here, we review the current knowledge on these three variants of microbial CO metabolism with an emphasis on the potential enzymatic routes and bio-energetics involved.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Campa, Julia; Estrada, Juan; Flaugher, Brenna
2017-02-03
The knowledge of the scatter in the mass-observable relation is a key ingredient for a cosmological analysis based on galaxy clusters in a photometric survey. We demonstrate here how the linear bias measured in the correlation function for clusters can be used to determine the value of the scatter. The new method is tested in simulations of a 5.000 square degrees optical survey up to z~1, similar to the ongoing Dark Energy Survey. The results indicate that the scatter can be measured with a precision of 5% using this technique.
Pathways and Bioenergetics of Anaerobic Carbon Monoxide Fermentation
Diender, Martijn; Stams, Alfons J. M.; Sousa, Diana Z.
2015-01-01
Carbon monoxide can act as a substrate for different modes of fermentative anaerobic metabolism. The trait of utilizing CO is spread among a diverse group of microorganisms, including members of bacteria as well as archaea. Over the last decade this metabolism has gained interest due to the potential of converting CO-rich gas, such as synthesis gas, into bio-based products. Three main types of fermentative CO metabolism can be distinguished: hydrogenogenesis, methanogenesis, and acetogenesis, generating hydrogen, methane and acetate, respectively. Here, we review the current knowledge on these three variants of microbial CO metabolism with an emphasis on the potential enzymatic routes and bio-energetics involved. PMID:26635746
Sampling effort and estimates of species richness based on prepositioned area electrofisher samples
Bowen, Z.H.; Freeman, Mary C.
1998-01-01
Estimates of species richness based on electrofishing data are commonly used to describe the structure of fish communities. One electrofishing method for sampling riverine fishes that has become popular in the last decade is the prepositioned area electrofisher (PAE). We investigated the relationship between sampling effort and fish species richness at seven sites in the Tallapoosa River system, USA based on 1,400 PAE samples collected during 1994 and 1995. First, we estimated species richness at each site using the first-order jackknife and compared observed values for species richness and jackknife estimates of species richness to estimates based on historical collection data. Second, we used a permutation procedure and nonlinear regression to examine rates of species accumulation. Third, we used regression to predict the number of PAE samples required to collect the jackknife estimate of species richness at each site during 1994 and 1995. We found that jackknife estimates of species richness generally were less than or equal to estimates based on historical collection data. The relationship between PAE electrofishing effort and species richness in the Tallapoosa River was described by a positive asymptotic curve as found in other studies using different electrofishing gears in wadable streams. Results from nonlinear regression analyses indicted that rates of species accumulation were variable among sites and between years. Across sites and years, predictions of sampling effort required to collect jackknife estimates of species richness suggested that doubling sampling effort (to 200 PAEs) would typically increase observed species richness by not more than six species. However, sampling effort beyond about 60 PAE samples typically increased observed species richness by < 10%. We recommend using historical collection data in conjunction with a preliminary sample size of at least 70 PAE samples to evaluate estimates of species richness in medium-sized rivers. Seventy PAE samples should provide enough information to describe the relationship between sampling effort and species richness and thus facilitate evaluation of a sampling effort.
EnRICH: Extraction and Ranking using Integration and Criteria Heuristics.
Zhang, Xia; Greenlee, M Heather West; Serb, Jeanne M
2013-01-15
High throughput screening technologies enable biologists to generate candidate genes at a rate that, due to time and cost constraints, cannot be studied by experimental approaches in the laboratory. Thus, it has become increasingly important to prioritize candidate genes for experiments. To accomplish this, researchers need to apply selection requirements based on their knowledge, which necessitates qualitative integration of heterogeneous data sources and filtration using multiple criteria. A similar approach can also be applied to putative candidate gene relationships. While automation can assist in this routine and imperative procedure, flexibility of data sources and criteria must not be sacrificed. A tool that can optimize the trade-off between automation and flexibility to simultaneously filter and qualitatively integrate data is needed to prioritize candidate genes and generate composite networks from heterogeneous data sources. We developed the java application, EnRICH (Extraction and Ranking using Integration and Criteria Heuristics), in order to alleviate this need. Here we present a case study in which we used EnRICH to integrate and filter multiple candidate gene lists in order to identify potential retinal disease genes. As a result of this procedure, a candidate pool of several hundred genes was narrowed down to five candidate genes, of which four are confirmed retinal disease genes and one is associated with a retinal disease state. We developed a platform-independent tool that is able to qualitatively integrate multiple heterogeneous datasets and use different selection criteria to filter each of them, provided the datasets are tables that have distinct identifiers (required) and attributes (optional). With the flexibility to specify data sources and filtering criteria, EnRICH automatically prioritizes candidate genes or gene relationships for biologists based on their specific requirements. Here, we also demonstrate that this tool can be effectively and easily used to apply highly specific user-defined criteria and can efficiently identify high quality candidate genes from relatively sparse datasets.
NASA Astrophysics Data System (ADS)
Semken, S. C.; Godsey, H. S.; Tsosie, W. B., Jr.
2017-12-01
Place-based, culturally-integrated approaches to teaching geoscience and environmental science are aligned with traditional indigenous education, and illustrate the premise that leveraging the cultural capital of Native Americans and other underrepresented groups renders more inclusive and relevant teaching. Situating learning within local landscapes, environments, and communities; and meaningfully connecting mainstream science with Native science and knowledge of place enables students to construct new knowledge that is scaffolded by their own worldview and experiences, and helps lessen any sense of discontinuity that may arise from apparently disparate interpretations of Earth processes. We drew on this philosophy in implementing a multi-year program of summer professional-development workshops for K-12 teachers in the Colorado Plateau and Intermountain regions, many of whom work in schools that serve majority Native American student populations. Through collaboration of geoscientists, Diné (Navajo) cultural experts, and master teachers, we developed and implemented inquiry-rich field excursions in which learning about Earth-system features and processes on the Plateau utilized factual and conceptual knowledge from mainstream geoscience and Diné geoscience (tsé na'alkaah) alike, as well as on other forms of local place knowledge such as Diné toponymy and history. Participants used concepts such as the dynamic interactions of Earth (Nahasdzaan) and Sky (Yádilhil) systems and the natural order (nitsahakees, nahat'a, iina, siihasin) to interpret natural landscape features (e.g., desert landforms, Plateau stratigraphy, Laramide structures) as well as anthropogenic impacts (e.g., uranium extraction and its environmental and health effects) in the field. We will share specific examples of place-based, culturally integrated curriculum and assessment from this program.
Toward equality of biodiversity knowledge through technology transfer.
Böhm, Monika; Collen, Ben
2015-10-01
To help stem the continuing decline of biodiversity, effective transfer of technology from resource-rich to biodiversity-rich countries is required. Biodiversity technology as defined by the Convention on Biological Diversity (CBD) is a complex term, encompassing a wide variety of activities and interest groups. As yet, there is no robust framework by which to monitor the extent to which technology transfer might benefit biodiversity. We devised a definition of biodiversity technology and a framework for the monitoring of technology transfer between CBD signatories. Biodiversity technology within the scope of the CBD encompasses hard and soft technologies that are relevant to the conservation and sustainable use of biodiversity, or make use of genetic resources, and that relate to all aspects of the CBD, with a particular focus on technology transfer from resource-rich to biodiversity-rich countries. Our proposed framework introduces technology transfer as a response indicator: technology transfer is increased to stem pressures on biodiversity. We suggest an initial approach of tracking technology flow between countries; charting this flow is likely to be a one-to-many relationship (i.e., the flow of a specific technology from one country to multiple countries). Future developments should then focus on integrating biodiversity technology transfer into the current pressure-state-response indicator framework favored by the CBD (i.e., measuring the influence of technology transfer on changes in state and pressure variables). Structured national reporting is important to obtaining metrics relevant to technology and knowledge transfer. Interim measures, that can be used to assess biodiversity technology or knowledge status while more in-depth indicators are being developed, include the number of species inventories, threatened species lists, or national red lists; databases on publications and project funding may provide measures of international cooperation. Such a pragmatic approach, followed by rigorous testing of specific technology transfer metrics submitted by CBD signatories in a standardized manner may in turn improve the focus of future targets on technology transfer for biodiversity conservation. © 2015 Society for Conservation Biology.
Nnamani, Catherine Veronica; Ajayi, Sunday Adesola; Oselebe, Happiness Ogba; Atkinson, Christopher John; Igboabuchi, Anastasia Ngozi
2017-01-01
The southeastern part of Nigeria is one of the major hotspots of useful plant genetic resources. These endemic species are associated with a rich indigenous knowledge and cultural diversity in relation to their use and conservation. Sphenostylis stenocarpa (ex. A. Rich.) Harms., (African Yam Bean (AYB)), is one such crop within the family of Fabaceae. Its nutritional and eco-friendly characteristics have value in ameliorating malnutrition, hidden hunger and environmental degradation inherent in resource-poor rural and semi-rural communities throughout Africa. However, lack of information from the custodians of this crop is limiting its sustainable development. Therefore, ethnobotanical surveys on the diversity, uses, and constraints limiting the cultivation and use of the crop in southeastern Nigeria were carried out. Five-hundred respondents were randomly selected and data collected through oral interviews and focused group discussion (FGD). Semi-structured questionnaires (SSQ) were also used to elicit information from a spectrum of AYB users comprising community leaders, farmers, market women and consumers in five States. Results showed that the majority of the respondents lacked formal education and were of the age group of 40–50 years, while the female gender dominated with limited access to land and extension officers. Seed coat colour largely determined utilization. Long cooking time, requirement for staking materials, aging of farmers and low market demand were among the major constraints limiting further cultivation and utilization of AYB. In-situ conservation was by hanging dried fruits by the fireside, beside the house, storing in earthenware, calabash gourds, cans and bottles. It is concluded that there is urgent need to scale up conservation through robust linkages between contemporary scientific domains and indigenous peoples in order to harness and incorporate the rich indigenous knowledge in local communities for enhanced scientific knowledge, biodiversity conservation and its sustainable utilization for food security. PMID:28704944
Nnamani, Catherine Veronica; Ajayi, Sunday Adesola; Oselebe, Happiness Ogba; Atkinson, Christopher John; Igboabuchi, Anastasia Ngozi; Ezigbo, Eucharia Chizoba
2017-07-12
The southeastern part of Nigeria is one of the major hotspots of useful plant genetic resources. These endemic species are associated with a rich indigenous knowledge and cultural diversity in relation to their use and conservation. Sphenostylis stenocarpa ( e x. A. Rich.) Harms., (African Yam Bean (AYB)), is one such crop within the family of Fabaceae. Its nutritional and eco-friendly characteristics have value in ameliorating malnutrition, hidden hunger and environmental degradation inherent in resource-poor rural and semi-rural communities throughout Africa. However, lack of information from the custodians of this crop is limiting its sustainable development. Therefore, ethnobotanical surveys on the diversity, uses, and constraints limiting the cultivation and use of the crop in southeastern Nigeria were carried out. Five-hundred respondents were randomly selected and data collected through oral interviews and focused group discussion (FGD). Semi-structured questionnaires (SSQ) were also used to elicit information from a spectrum of AYB users comprising community leaders, farmers, market women and consumers in five States. Results showed that the majority of the respondents lacked formal education and were of the age group of 40-50 years, while the female gender dominated with limited access to land and extension officers. Seed coat colour largely determined utilization. Long cooking time, requirement for staking materials, aging of farmers and low market demand were among the major constraints limiting further cultivation and utilization of AYB. In-situ conservation was by hanging dried fruits by the fireside, beside the house, storing in earthenware, calabash gourds, cans and bottles. It is concluded that there is urgent need to scale up conservation through robust linkages between contemporary scientific domains and indigenous peoples in order to harness and incorporate the rich indigenous knowledge in local communities for enhanced scientific knowledge, biodiversity conservation and its sustainable utilization for food security.
Anania Shirakatsi's Life and Activities
NASA Astrophysics Data System (ADS)
Nazaryan, L. S.
2014-10-01
Anania Shirakatsi is one of the greatest scientists who made an important contribution to the field of exact sciences in Armenia, a brilliant scientist and philosopher of the 7th century; actually the founder of exact sciences in Armenian reality. Unfortunately, out of Shirakatsi's rich heritage only some fragments of his works in the fields of Mathematics, Cosmography, Calendarology, Metrology, which are of great value for the history of exact sciences, got to us. There is a valuable source about Anania Shirakatsi's life and work; the author has left his autobiography. From Shirakatsi's autobiography we learn that he was born in the village Aneank (Shirakavan) at the beginning of the 7th century. He got his elementary education in the local monastery school, later being eager to improve his knowledge, he went to West Armenia. He had to travel a lot about West Armenia seeking an advanced specialist in Mathematics. He was leaving for Constantinople but on his way to Signup he learns that in Trapeze a great Greek scientist, Tyukhik lives: "a wise man, popular with the kings, an expert on Armenian Language and Literature". Shirakatsi changed his way and went to Trapeze. Shirakatsi had been at Tyukhik's school for 8 years; he became proficient in exact science and came back to his native land with rich knowledge base. Here he opened a school and devoted himself to teaching and research. He wrote research works in Astronomy, Mathematics, Geography, Calendarology, Metrology and in other fields of science.
The Knowledge Capsules: Very Short Films on Earth Science for Mainstream Audiences
NASA Astrophysics Data System (ADS)
Kerlow, Isaac
2015-04-01
The Knowledge Capsules are outreach and communication videos that present practical science research to mainstream audiences and take viewers on a journey into different aspects of Earth science and natural hazards. The innovative shorts are the result of an interdisciplinary development and production process. They include a combination of interviews, visualizations of scientific research, and documentation of fieldwork. They encapsulate research insights about volcanoes, tsunamis, and climate change in Southeast Asia. These short films were actively distributed free-of-charge during 2012-2014 and all of them are available online. The paper provides an overview of the motivations, process and accomplished results. Our approach for producing the Knowledge Capsules includes: an engaging mix of information and a fresh delivery style, a style suitable for a primary audience of non-scientists, a simple but experientially rich production style, Diagrams and animations based on the scientists' visuals, and a running time between five and twenty minutes. The completed Knowledge Capsules include: "Coastal Science" on Coastal Hazards, "The Ratu River Expedition" on Structural Geology, "Forensic Volcano Petrology by Fidel Costa, Volcano Petrology, "A Tale of Two Tsunamis" on Tsunami Stratigraphy, "Unlocking Climate Secrets" on Marine Geochemistry, and "Earth Girl 2: A Casual Strategy Game to Prepare for the Tsunami" on Natural Hazards and Science Outreach.
NASA Astrophysics Data System (ADS)
Galford, G. L.; Nash, J. L.
2016-12-01
Large-scale analyses like the National Climate Assessment (NCA) contain a wealth of information critical to national and regional responses to climate change but tend to be insufficiently detailed for action at state or local levels. Many states now develop assessments (SCAs) to provide relevant, actionable information to state and local authorities. These assessments generate new or additional primary information, build networks and inform stakeholders. Based on our experience in the Vermont Climate Assessment (VCA), we present a SCA framework to engage local decision makers, using a fluid network of scientific experts and knowledge brokers to conduct subject area prioritization, data analysis, and writing. Knowledge brokers bridged the scientific and stakeholder communities, providing a two-way flow of information by capitalizing on their existing networks. Rich citizen records of climate and climate change impacts associated a human voice, a memorable story, or personal observation with a climate record, improving climate information salience. This engagement process that created salient climate information perceived as credible and legitimate by local and state decision makers. We present this framework as an effective structure for SCAs to foster interaction among scientists, knowledge brokers and stakeholders. We include a qualitative impact evaluation and lessons learned for future SCAs.
Patterns of usage for a Web-based clinical information system.
Chen, Elizabeth S; Cimino, James J
2004-01-01
Understanding how clinicians are using clinical information systems to assist with their everyday tasks is valuable to the system design and development process. Developers of such systems are interested in monitoring usage in order to make enhancements. System log files are rich resources for gaining knowledge about how the system is being used. We have analyzed the log files of our Web-based clinical information system (WebCIS) to obtain various usage statistics including which WebCIS features are frequently being used. We have also identified usage patterns, which convey how the user is traversing the system. We present our method and these results as well as describe how the results can be used to customize menus, shortcut lists, and patient reports in WebCIS and similar systems.
Reflective practice: a framework for case manager development.
Brubakken, Karen; Grant, Sara; Johnson, Mary K; Kollauf, Cynthia
2011-01-01
The role of a nurse case manager (NCM) incorporates practice that is built upon knowledge gained in other roles as well as components unique to case management. The concept of reflective practice was used in creating a framework to recognize the developmental stages that occur within community based case management practice. The formation of this framework and its uses are described in this article. The practice setting is a community based case management department in a large midwestern metropolitan health care system with Magnet recognition. Advanced practice nurses provide care for clients with chronic health conditions. Twenty-four narratives were used to identify behaviors of community based case managers and to distinguish stages of practice. The behaviors of advanced practice found within the narratives were labeled and analyzed for similarities. Related behaviors were grouped and descriptor statements were written. These statements grouped into 3 domains of practice: relationship/partnership, coordination/collaboration, and clinical knowledge/decision making. The statements in each domain showed practice variations from competent to expert, and 3 stages were determined. Reliability and validity of the framework involved analysis of additional narratives. The reflective practice process, used for monthly case review presentations, provides opportunity for professional development and group learning focused on improving case manager practice. The framework is also being used in orientation as new case managers acclimate to the role. Reflective writing has unveiled the richness and depth of nurse case manager practice. The depth of knowledge and skills involved in community-based case management is captured within this reflective practice framework. This framework provides a format for describing community based case manager practice development over the course of time and has been used as a tool for orientation and peer review.
Ljubicic, Marija; Saric, Marijana Matek; Rumbak, Ivana; Baric, Irena Colic; Komes, Drazenka; Satalic, Zvonimir; Guiné, Raquel P F
2017-08-01
This cross-sectional study is aimed at identifying the level of understanding of the health benefits of dietary fibre in the prevention of disease, as well as the association between that understanding and fibre consumption in the Croatian population. We believe that nutritional knowledge is important for the consumption of healthy food which includes also a positive reflection on food habits and health. Only well-informed consumers can shop effectively for food rich in dietary fibre and thereby derive the health benefits that fibre can offer. We suppose the association between that understanding and fibre consumption in the Croatian population. However, this knowledge is not the only important determinant; food purchases are influenced by socioeconomic and demographic factors. Our hypothesis is that the level of knowledge about fibre and fibre consumption varies with age, gender, education level and urban or rural environment. It is our assumption that life styles, environmental conditions and education can affect the level of knowledge and perception about healthy eating habits. If this assumption is accurate, targeted education campaigns to educate and sensitise the population about fibre-rich foods and the health benefits of fibre is a priority. Public health programmes are urgently needed, particularly in rural areas, to sensitise the population to fulfill the recommended fibre intake, high-fibre food sources and the mechanisms by which fibre can help prevent disease. Copyright © 2017 Elsevier Ltd. All rights reserved.
Preparing kids for the new baby.
Storr, G B; Robinson, P
1998-03-01
Sibling prenatal classes are a natural extension of nursing's interest and expertise in childbirth preparation for expectant couples. From parents' perspective, these classes have the potential to decrease sibling rivalry and facilitate parental coping with older children's concerns about a new baby. From a nurse educator's perspective, sibling prenatal classes offer a rich learning experience for students by providing an opportunity to integrate knowledge about pregnancy and birth with communication skills and child development knowledge.
Clarke, H. David; Horton, Jonathan L.
2014-01-01
In response to the American Association for the Advancement of Science's Vision and Change in Undergraduate Biology Education initiative, we infused authentic, plant-based research into majors’ courses at a public liberal arts university. Faculty members designed a financially sustainable pedagogical approach, utilizing vertically integrated curricular modules based on undergraduate researchers’ field and laboratory projects. Our goals were to 1) teach botanical concepts, from cells to ecosystems; 2) strengthen competencies in statistical analysis and scientific writing; 3) pique plant science interest; and 4) allow all undergraduates to contribute to genuine research. Our series of inquiry-centered exercises mitigated potential faculty barriers to adopting research-rich curricula, facilitating teaching/research balance by gathering publishable scholarly data during laboratory class periods. Student competencies were assessed with pre- and postcourse quizzes and rubric-graded papers, and attitudes were evaluated with pre- and postcourse surveys. Our revised curriculum increased students’ knowledge and awareness of plant science topics, improved scientific writing, enhanced statistical knowledge, and boosted interest in conducting research. More than 300 classroom students have participated in our program, and data generated from these modules’ assessment allowed faculty and students to present 28 contributed talks or posters and publish three papers in 4 yr. Future steps include analyzing the effects of repeated module exposure on student learning and creating a regional consortium to increase our project's pedagogical impact. PMID:25185223
An ethnobotanical perspective on traditional fermented plant foods and beverages in Eastern Europe.
Sõukand, Renata; Pieroni, Andrea; Biró, Marianna; Dénes, Andrea; Dogan, Yunus; Hajdari, Avni; Kalle, Raivo; Reade, Benedict; Mustafa, Behxhet; Nedelcheva, Anely; Quave, Cassandra L; Łuczaj, Łukasz
2015-07-21
Fermented food and beverages represent an important part of the worldwide foodscape, medicinal food domain and domestic strategies of health care, yet relevant traditional knowledge in Europe is poorly documented. Review of primary ethnographic literature, archival sources and a few ad-hoc ethnobotanical field studies in seven selected Eastern European countries (Albania, Belarus, Bulgaria, Estonia, Hungary, Kosovo, and Poland) were conducted. Current or recently abandoned uses of 116 botanical taxa, belonging to 37 families in fermented food or medicinal food products were recorded. These findings demonstrate a rich bio-cultural diversity of use, and also a clear prevalence of the use of fruits of the tannin- and phenolic-rich Rosaceae species in alcoholic, lactic- and acetic acid fermented preparations. In the considered countries, fermentation still plays (or has played until recent years) a crucial role in folk cuisines and this heritage requires urgent and in-depth evaluation. Future studies should be aimed at further documenting and also bio-evaluating the ingredients and processes involved in the preparation of homemade fermented products, as this can be used to support local, community-based development efforts to foster food security, food sovereignty, and small-scale local food-based economies. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
Bisone, Sara; Gautier, Mathieu; Masson, Matthieu; Forquet, Nicolas
2017-01-01
Over the last 10 years soil-based constructed wetlands for discharge of treated wastewater (TWW) are commonly presented as a valuable option to provide tertiary treatment. The uncomplete knowledge in soil modifications and a lack of clear design practices laid the foundation of this work. The aim of this study was to determine optimal hydraulic loads and to observe the main critical parameters affecting treating performances and hydraulic loads acceptance. For this purpose, a soil rich in clay and backfill was chosen to perform column infiltration tests with TWW. Two loading rates and two loading modes were compared to study the influence of an intermittent feeding. Inlet and outlet waters were periodically analysed and columns were instrumented with balances, tensiometers, O 2 and temperature probes. Soil physico-chemical characteristics were also taken into account to better understand the modification of the soil. One of the main expectations of tertiary treatment is to improve phosphate removal. A particular attention was thus given to phosphorus retention. The interest of an intermittent feeding in presence of a soil with high clay content was showed. This study highlighted that an intermittent feeding could make possible the use of a clay-rich soil for water infiltration.
Bridging the semantic gap in sports
NASA Astrophysics Data System (ADS)
Li, Baoxin; Errico, James; Pan, Hao; Sezan, M. Ibrahim
2003-01-01
One of the major challenges facing current media management systems and the related applications is the so-called "semantic gap" between the rich meaning that a user desires and the shallowness of the content descriptions that are automatically extracted from the media. In this paper, we address the problem of bridging this gap in the sports domain. We propose a general framework for indexing and summarizing sports broadcast programs. The framework is based on a high-level model of sports broadcast video using the concept of an event, defined according to domain-specific knowledge for different types of sports. Within this general framework, we develop automatic event detection algorithms that are based on automatic analysis of the visual and aural signals in the media. We have successfully applied the event detection algorithms to different types of sports including American football, baseball, Japanese sumo wrestling, and soccer. Event modeling and detection contribute to the reduction of the semantic gap by providing rudimentary semantic information obtained through media analysis. We further propose a novel approach, which makes use of independently generated rich textual metadata, to fill the gap completely through synchronization of the information-laden textual data with the basic event segments. An MPEG-7 compliant prototype browsing system has been implemented to demonstrate semantic retrieval and summarization of sports video.
Wildlife-friendly farming benefits rare birds, bees and plants
Pywell, Richard F.; Heard, Matthew S.; Bradbury, Richard B.; Hinsley, Shelley; Nowakowski, Marek; Walker, Kevin J.; Bullock, James M.
2012-01-01
Agricultural intensification is a leading cause of global biodiversity loss, especially for threatened and near-threatened species. One widely implemented response is ‘wildlife-friendly farming’, involving the close integration of conservation and extensive farming practices within agricultural landscapes. However, the putative benefits from this controversial policy are currently either unknown or thought unlikely to extend to rare and declining species. Here, we show that new, evidence-based approaches to habitat creation on intensively managed farmland in England can achieve large increases in plant, bee and bird species. In particular, we found that habitat enhancement methods designed to provide the requirements of sensitive target biota consistently increased the richness and abundance of both rare and common species, with 10-fold to greater than 100-fold more rare species per sample area than generalized conventional conservation measures. Furthermore, targeting landscapes of high species richness amplified beneficial effects on the least mobile taxa: plants and bees. Our results provide the first unequivocal support for a national wildlife-friendly farming policy and suggest that this approach should be implemented much more extensively to address global biodiversity loss. However, to be effective, these conservation measures must be evidence-based, and developed using sound knowledge of the ecological requirements of key species. PMID:22675140
MBSE-Driven Visualization of Requirements Allocation and Traceability
NASA Technical Reports Server (NTRS)
Jackson, Maddalena; Wilkerson, Marcus
2016-01-01
In a Model Based Systems Engineering (MBSE) infusion effort, there is a usually a concerted effort to define the information architecture, ontologies, and patterns that drive the construction and architecture of MBSE models, but less attention is given to the logical follow-on of that effort: how to practically leverage the resulting semantic richness of a well-formed populated model to enable systems engineers to work more effectively, as MBSE promises. While ontologies and patterns are absolutely necessary, an MBSE effort must also design and provide practical demonstration of value (through human-understandable representations of model data that address stakeholder concerns) or it will not succeed. This paper will discuss opportunities that exist for visualization in making the richness of a well-formed model accessible to stakeholders, specifically stakeholders who rely on the model for their day-to-day work. This paper will discuss the value added by MBSE-driven visualizations in the context of a small case study of interactive visualizations created and used on NASA's proposed Europa Mission. The case study visualizations were created for the purpose of understanding and exploring targeted aspects of requirements flow, allocation, and comparing the structure of that flow-down to a conceptual project decomposition. The work presented in this paper is an example of a product that leverages the richness and formalisms of our knowledge representation while also responding to the quality attributes SEs care about.
Karatayev, Vadim A; Karatayev, Alexander Y; Burlakova, Lyubov E; Rudstam, Lars G
2014-01-01
Changes in nutrient loading and invasive species are among the strongest human-driven disturbances in freshwater ecosystems, but our knowledge on how they affect the biodiversity of lakes is still limited. We conducted a detailed historical analysis of the mollusc community of Oneida Lake based on our comprehensive lakewide study in 2012 and previous surveys dating back to 1915. In the early 20th century, the lake had a high water clarity, with abundant macrophytes and benthic algae, and hosted the most diverse molluscan community in New York State, including 32 gastropod and 9 unionid species. By the 1960s, lake turbidity increased during a period of anthropogenic eutrophication, resulting in a 38% decline in species richness and a 95% reduction in abundance of native gastropods grazing on benthic algae. Following the invasion of Dreissena spp. in 1991 and subsequent increases in water clarity, native gastropod species richness expanded by 37% and abundance increased 20-fold by 2012. In contrast, filter-feeding unionids were unaffected by increased turbidity during the period of eutrophication but were extirpated by dreissenids. Through contrasting effects on turbidity, eutrophication and Dreissena spp. have likely driven the observed changes in native grazing gastropods by affecting the abundance of light-limited benthic algae. Given the high species richness and ecological importance of benthic grazers, monitoring and managing turbidity is important in preserving molluscan diversity.
Current concepts in platelet transfusion
Mohanty, Dipika
2009-01-01
This is the era of component therapy. Therefore there is a need for rational use of platelet concentrate. Lot of knowledge has been added recently in the field of platelet specially about the platelet rich plasma and its application in clinical practice. The current review focuses on improvement in preparation of platelet rich plasma, the procedure to make the same more safe and its rational use. Furthermore newer aspects of platelet concentrate use in surgical practice and for regenerative medicine has also been discussed. It also covers some progress and hurdles in preparation of platelet substitutes. PMID:20041092
Linking Indigenous Knowledge and Observed Climate Change Studies
NASA Technical Reports Server (NTRS)
Alexander, Chief Clarence; Bynum, Nora; Johnson, Liz; King, Ursula; Mustonen, Tero; Neofotis, Peter; Oettle, Noel; Rosenzweig, Cynthia; Sakakibara, Chie; Shadrin, Chief Vyacheslav;
2010-01-01
We present indigenous knowledge narratives and explore their connections to documented temperature and other climate changes and observed climate change impact studies. We then propose a framework for enhancing integration of these indigenous narratives of observed climate change with global assessments. Our aim is to contribute to the thoughtful and respectful integration of indigenous knowledge with scientific data and analysis, so that this rich body of knowledge can inform science, and so that indigenous and traditional peoples can use the tools and methods of science for the benefit of their communities if they choose to do so. Enhancing ways of understanding such connections are critical as the Intergovernmental Panel on Climate Change Fifth Assessment process gets underway.
Curran, Janet; Abidi, Syed Sibte Raza
2006-01-01
Peer to peer knowledge sharing is recognized as a key contributor to the development of expert practice for health care professionals. Emergency departments with access to extensive expertise, such as in urban hospital settings, present greater potential for rich collaborative learning opportunities as compared with rural settings where expertise is at times scarce. Collaborative technologies such as electronic discussion boards may assist in leveling the "knowledge" playing field and increase opportunities for the growth of a strong social network for emergency clinicians. A social network perspective is used to explore the effectiveness of a discussion forum to support knowledge sharing among emergency practitioners in rural and urban emergency departments in Nova Scotia.
Using Data-Rich Instruction for Climate Change Education: Road Blocks and Pathways
NASA Astrophysics Data System (ADS)
Nyman, M.; Ellwein, A. L.; Daniel, M.; Connealy, S.
2011-12-01
The plethora of web-based databases provides an opportunity to develop and support authentic, inquiry-based teaching strategies that use real climate data in K-12 science classrooms. Classroom use of real climate data has the potential to improve student ability to "do" science by developing students' critical thinking skills such as evaluation of data, using evidence to support conclusions, and providing opportunities to build scientific, technical and communication skills in addressing real-world problems. However, there are roadblocks to implementing data-rich instruction including the fact that many climate datasets are not accessible to those without training and may require advanced technical, math and data skills to utilize. In June 2011 we convened an Innovation Working Group (IWG), Using Climate Data in Classrooms, sponsored by NM EPSCoR to consider issues and strategies for effective data-rich climate science education. The IWG participants concluded that developing data literacy skills is essential for students and teachers to participate in data-rich projects. This includes knowledge of models, facility with working and interpreting data and comfort with ambiguity that is inherent in climate science. As an outcome of the workshop, we are developing a data literacy survey that will be used to gather information from pre- and in-service teachers about their data skills and the instructional methods that teachers use to develop students' data literacy. Survey results will be used to re-design pre-service teacher training and develop teacher professional development programs at two institutions, the University of New Mexico and Western State. A challenge to using data-rich instruction is the volume of data available and the myriad formats in which it is presented. A first-level web search on "climate data" results in well over 10 million hits, a signature of the formidable task of choosing which site is best suited for instruction. During the IWG, participants reviewed 14 data portals and data-rich climate websites and found that they generally lacked sufficient organization or documentation to be useful for K-12 teachers or their students. For example, in rating the 'ease of data access' only 4 websites out of 14 were rated as being easy to use. Clearly, the accessibility of web-hosted climate data must be improved in order to catalyze the development and use of data-rich, inquiry-based climate change instruction in K-12 classrooms. Another outcome of the IWG is the formation of a teacher advisory board that will develop specific guidelines to make climate data portals useful to K-12 teachers and students. The advisory group will work with developers of one climate data website in an iterative process that will be documented for dissemination to other related projects. Only through teacher input can large-scale efforts to coordinate and disseminate climate information be successfully translated to K-12 science instruction.
Rich context information for just-in-time adaptive intervention promoting physical activity.
Cruciani, F; Nugent, C; Cleland, I; McCullagh, P
2017-07-01
Sedentary lifestyle and inadequate levels of physical activity represent two serious health risk factors. Nevertheless, within developed countries, 60% of people aged over 60 are deemed to be sedentary. Consequently, interest in behavior change to promote physical activity is increasing. In particular, the role of emerging mobile apps to facilitate behavior change has shown promising results. Smart technologies can help in providing rich context information including an objective assessment of the level of physical activity and information on the emotional and physiological state of the person. Collectively, this can be used to develop innovative persuasive solutions for adaptive behavior change. Such solutions offer potential in reducing levels of sedentary behavior. This work presents a study exploring new ways of employing smart technologies to facilitate behavior change. It is achieved by means of (i) developing a knowledge base on sedentary behaviors and recommended physical activity guidelines, and (ii) a context model able to combine information on physical activity, location, and a user's diary to develop a context-aware virtual coach with the ability to select the most appropriate behavior change strategy on a case by case basis.
Summarizing Audiovisual Contents of a Video Program
NASA Astrophysics Data System (ADS)
Gong, Yihong
2003-12-01
In this paper, we focus on video programs that are intended to disseminate information and knowledge such as news, documentaries, seminars, etc, and present an audiovisual summarization system that summarizes the audio and visual contents of the given video separately, and then integrating the two summaries with a partial alignment. The audio summary is created by selecting spoken sentences that best present the main content of the audio speech while the visual summary is created by eliminating duplicates/redundancies and preserving visually rich contents in the image stream. The alignment operation aims to synchronize each spoken sentence in the audio summary with its corresponding speaker's face and to preserve the rich content in the visual summary. A Bipartite Graph-based audiovisual alignment algorithm is developed to efficiently find the best alignment solution that satisfies these alignment requirements. With the proposed system, we strive to produce a video summary that: (1) provides a natural visual and audio content overview, and (2) maximizes the coverage for both audio and visual contents of the original video without having to sacrifice either of them.
Mcnaughton, Susan; Barrow, Mark; Bagg, Warwick; Frielick, Stanley
2016-01-01
Practice-based learning integrates the cognitive, psychomotor, and affective domains and is influenced by students' beliefs, values, and attitudes. Concept mapping has been shown to effectively demonstrate students' changing concepts and knowledge structures. This article discusses how concept mapping was modified to capture students' perceptions of the connections between the domains of thinking and knowing, emotions, behavior, attitudes, values, and beliefs and the specific experiences related to these, over a period of eight months of practice-based clinical learning. The findings demonstrate that while some limitations exist, modified concept mapping is a manageable way to gather rich data about students' perceptions of their clinical practice experiences. These findings also highlight the strong integrating influence of beliefs and values on other areas of practice, suggesting that these need to be attended to as part of a student's educational program.
Mcnaughton, Susan; Barrow, Mark; Bagg, Warwick; Frielick, Stanley
2016-01-01
Practice-based learning integrates the cognitive, psychomotor, and affective domains and is influenced by students’ beliefs, values, and attitudes. Concept mapping has been shown to effectively demonstrate students’ changing concepts and knowledge structures. This article discusses how concept mapping was modified to capture students’ perceptions of the connections between the domains of thinking and knowing, emotions, behavior, attitudes, values, and beliefs and the specific experiences related to these, over a period of eight months of practice-based clinical learning. The findings demonstrate that while some limitations exist, modified concept mapping is a manageable way to gather rich data about students’ perceptions of their clinical practice experiences. These findings also highlight the strong integrating influence of beliefs and values on other areas of practice, suggesting that these need to be attended to as part of a student's educational program. PMID:29349311
Classification of clinically useful sentences in clinical evidence resources.
Morid, Mohammad Amin; Fiszman, Marcelo; Raja, Kalpana; Jonnalagadda, Siddhartha R; Del Fiol, Guilherme
2016-04-01
Most patient care questions raised by clinicians can be answered by online clinical knowledge resources. However, important barriers still challenge the use of these resources at the point of care. To design and assess a method for extracting clinically useful sentences from synthesized online clinical resources that represent the most clinically useful information for directly answering clinicians' information needs. We developed a Kernel-based Bayesian Network classification model based on different domain-specific feature types extracted from sentences in a gold standard composed of 18 UpToDate documents. These features included UMLS concepts and their semantic groups, semantic predications extracted by SemRep, patient population identified by a pattern-based natural language processing (NLP) algorithm, and cue words extracted by a feature selection technique. Algorithm performance was measured in terms of precision, recall, and F-measure. The feature-rich approach yielded an F-measure of 74% versus 37% for a feature co-occurrence method (p<0.001). Excluding predication, population, semantic concept or text-based features reduced the F-measure to 62%, 66%, 58% and 69% respectively (p<0.01). The classifier applied to Medline sentences reached an F-measure of 73%, which is equivalent to the performance of the classifier on UpToDate sentences (p=0.62). The feature-rich approach significantly outperformed general baseline methods. This approach significantly outperformed classifiers based on a single type of feature. Different types of semantic features provided a unique contribution to overall classification performance. The classifier's model and features used for UpToDate generalized well to Medline abstracts. Copyright © 2016 Elsevier Inc. All rights reserved.
Exploring FlyBase Data Using QuickSearch.
Marygold, Steven J; Antonazzo, Giulia; Attrill, Helen; Costa, Marta; Crosby, Madeline A; Dos Santos, Gilberto; Goodman, Joshua L; Gramates, L Sian; Matthews, Beverley B; Rey, Alix J; Thurmond, Jim
2016-12-08
FlyBase (flybase.org) is the primary online database of genetic, genomic, and functional information about Drosophila species, with a major focus on the model organism Drosophila melanogaster. The long and rich history of Drosophila research, combined with recent surges in genomic-scale and high-throughput technologies, mean that FlyBase now houses a huge quantity of data. Researchers need to be able to rapidly and intuitively query these data, and the QuickSearch tool has been designed to meet these needs. This tool is conveniently located on the FlyBase homepage and is organized into a series of simple tabbed interfaces that cover the major data and annotation classes within the database. This unit describes the functionality of all aspects of the QuickSearch tool. With this knowledge, FlyBase users will be equipped to take full advantage of all QuickSearch features and thereby gain improved access to data relevant to their research. © 2016 by John Wiley & Sons, Inc. Copyright © 2016 John Wiley & Sons, Inc.
Lucas, Rico; Groeneveld, Jürgen; Harms, Hauke; Johst, Karin; Frank, Karin; Kleinsteuber, Sabine
2017-01-01
In times of global change and intensified resource exploitation, advanced knowledge of ecophysiological processes in natural and engineered systems driven by complex microbial communities is crucial for both safeguarding environmental processes and optimising rational control of biotechnological processes. To gain such knowledge, high-throughput molecular techniques are routinely employed to investigate microbial community composition and dynamics within a wide range of natural or engineered environments. However, for molecular dataset analyses no consensus about a generally applicable alpha diversity concept and no appropriate benchmarking of corresponding statistical indices exist yet. To overcome this, we listed criteria for the appropriateness of an index for such analyses and systematically scrutinised commonly employed ecological indices describing diversity, evenness and richness based on artificial and real molecular datasets. We identified appropriate indices warranting interstudy comparability and intuitive interpretability. The unified diversity concept based on 'effective numbers of types' provides the mathematical framework for describing community composition. Additionally, the Bray-Curtis dissimilarity as a beta-diversity index was found to reflect compositional changes. The employed statistical procedure is presented comprising commented R-scripts and example datasets for user-friendly trial application. © FEMS 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Huang, Camillan
2003-01-01
Technology has created a new dimension for visual teaching and learning with web-delivered interactive media. The Virtual Labs Project has embraced this technology with instructional design and evaluation methodologies behind the simPHYSIO suite of simulation-based, online interactive teaching modules in physiology for the Stanford students. In addition, simPHYSIO provides the convenience of anytime web-access and a modular structure that allows for personalization and customization of the learning material. This innovative tool provides a solid delivery and pedagogical backbone that can be applied to developing an interactive simulation-based training tool for the use and management of the Picture Archiving and Communication System (PACS) image information system. The disparity in the knowledge between health and IT professionals can be bridged by providing convenient modular teaching tools to fill the gaps in knowledge. An innovative teaching method in the whole PACS is deemed necessary for its successful implementation and operation since it has become widely distributed with many interfaces, components, and customizations. This paper will discuss the techniques for developing an interactive-based teaching tool, a case study of its implementation, and a perspective for applying this approach to an online PACS training tool. Copyright 2002 Elsevier Science Ltd.
2012-01-01
Background Up till now, nomadic communities in Africa have been the primary focus of ethnoveterinary research. Although mainly arable and/or mixed arable/pastoral farmers, Ameru of central Kenya are known to have a rich history of ethnoveterinary knowledge. Their collective and accumulative ethnoveterinary knowledge (EVK) is likely to be just as rich and worth documenting. The aim of the study was to document and analyse the ethnoveterinary knowledge of the Ameru. Methods Non-alienating, dialogic, participatory action research (PAR) and participatory rural appraisal (PRA) approaches involving 21 women and men aged between 50 and 79 years old were utilized. A combination of snowball and purposive sampling methods were used to select 21 key respondents. The methods comprised a set of triangulation approach needed in EVK for non-experimental validation of ethnoknowledge of the Ameru. Results A total of 48 plant species distributed in 26 families were documented with details of diseases/ill-health conditions, parts of plants used and form of preparation and administration methods applied to different animal groups. Of these families, Fabaceae had the highest number of species (16.67%), followed by Solanaceae (12.5%), Asteraceae and Euphorbiacea (each comprising 8.33%), Lamiaceae (6.25%), Apocynaceae and Boraginaceae (each comprising 4.17%), while the rest of the 19 families, each was represented by a single plant species. About 30 livestock diseases/ill-health conditions were described, each treated by at least one of the 48 plant species. Most prevalent diseases/ill-health conditions included: - anaplasmosis, diarrhea, East Coast fever, pneumonia, helminthiasis, general weakness and skin diseases involving wounds caused by ectoparasites. Conclusion The study showed that there was a rich knowledge and ethnopractices for traditional animal healthcare amongst the Ameru. This study therefore provides some groundwork for elucidating the efficacy of some of these plants, plant products and ethnopractices in managing livestock health as further research may lead to discovery of useful ethnopharmaceutical agents applicable in livestock industry. PMID:23044218
Reusable Social Networking Capabilities for an Earth Science Collaboratory
NASA Astrophysics Data System (ADS)
Lynnes, C.; Da Silva, D.; Leptoukh, G. G.; Ramachandran, R.
2011-12-01
A vast untapped resource of data, tools, information and knowledge lies within the Earth science community. This is due to the fact that it is difficult to share the full spectrum of these entities, particularly their full context. As a result, most knowledge exchange is through person-to-person contact at meetings, email and journal articles, each of which can support only a limited level of detail. We propose the creation of an Earth Science Collaboratory (ESC): a framework that would enable sharing of data, tools, workflows, results and the contextual knowledge about these information entities. The Drupal platform is well positioned to provide the key social networking capabilities to the ESC. As a proof of concept of a rich collaboration mechanism, we have developed a Drupal-based mechanism for graphically annotating and commenting on results images from analysis workflows in the online Giovanni analysis system for remote sensing data. The annotations can be tagged and shared with others in the community. These capabilities are further supplemented by a Research Notebook capability reused from another online analysis system named Talkoot. The goal is a reusable set of modules that can integrate with variety of other applications either within Drupal web frameworks or at a machine level.
Leveraging the power of music to improve science education
NASA Astrophysics Data System (ADS)
Crowther, Gregory J.; McFadden, Tom; Fleming, Jean S.; Davis, Katie
2016-01-01
We assessed the impact of music videos with science-based lyrics on content knowledge and attitudes in a three-part experimental research study of over 1000 participants (mostly K-12 students). In Study A, 13 of 15 music videos were followed by statistically significant improvements on questions about material covered in the videos, while performance on 'bonus questions' not covered by the videos did not improve. Video-specific improvement was observed in both basic knowledge and genuine comprehension (levels 1 and 2 of Bloom's taxonomy, respectively) and after both lyrics-only and visually rich versions of some videos. In Study B, musical versions of additional science videos were not superior to non-musical ones in their immediate impact on content knowledge, though musical versions were significantly more enjoyable. In Study C, a non-musical video on fossils elicited greater immediate test improvement than the musical version ('Fossil Rock Anthem'); however, viewers of the music video enjoyed a modest advantage on a delayed post-test administered 28 days later. Music video viewers more frequently rated their video as 'fun', and seemed more likely to revisit and/or share the video. Our findings contribute to a broader dialogue on promising new pedagogical strategies in science education.
Michael Polanyi on the Education and Knowledge of Scientists
NASA Astrophysics Data System (ADS)
Jacobs, Struan
Rich in insights, groundbreaking in its interpretations, Personal Knowledge deserves to be better known. Modestly contributing to this end, the present paper explains why teachers addressing the nature of science should spend time on Polanyi. Outlining his intellectual career (from medicine to the cutting edge of chemical research, to the analysis of science and society), his ideas on education of scientists, on research and knowledge are then examined. Much of what he found in science - personal knowledge, intellectual passion, faith, trust, tacit understanding, method rules embodied in practice but seldom amenable to formulation - contradicted the orthodox understanding of it. He presaged Kuhn, Feyerabend, and the constructivists, yet insisted that science produces true knowledge about reality. Tension between tradition and innovation characterizes Polanyi's thought, as it does Polanyian scientific research.
Knowledge sharing and organizational learning in the context of hospital infection prevention.
Rangachari, Pavani
2010-01-01
Recently, hospitals that have been successful in preventing infections have labeled their improvement approaches as either the Toyota Production System (TPS) approach or the Positive Deviance (PD) approach. PD has been distinguished from TPS as being a bottom-up approach to improvement, as against top-down. Facilities that have employed both approaches have suggested that PD may be more effective than TPS for infection prevention. This article integrates organizational learning, institutional, and knowledge network theories to develop a theoretical framework for understanding the structure and evolution of effective knowledge-sharing networks in health care organizations, that is, networks most conducive to learning and improvement. Contrary to arguments put forth by hospital success stories, the framework suggests that networks rich in brokerage and hierarchy (ie, top-down, "TPS-like" structures) may be more effective for learning and improvement in health care organizations, compared with a networks rich in density (ie, bottom-up, "PD-like" structures). The theoretical framework and ensuing analysis help identify several gaps in the literature related to organization learning and improvement in the infection prevention context. This, in turn, helps put forth recommendations for health management research and practice.
Hoelzer, Simon; Schweiger, Ralf K; Rieger, Joerg; Meyer, Michael
2006-01-01
The organizational structures of web contents and electronic information resources must adapt to the demands of a growing volume of information and user requirements. Otherwise the information society will be threatened by disinformation. The biomedical sciences are especially vulnerable in this regard, since they are strongly oriented toward text-based knowledge sources. Here sustainable improvement can only be achieved by using a comprehensive, integrated approach that not only includes data management but also specifically incorporates the editorial processes, including structuring information sources and publication. The technical resources needed to effectively master these tasks are already available in the form of the data standards and tools of the Semantic Web. They include Rich Site Summaries (RSS), which have become an established means of distributing and syndicating conventional news messages and blogs. They can also provide access to the contents of the previously mentioned information sources, which are conventionally classified as 'deep web' content.
NASA Astrophysics Data System (ADS)
Calder, E. S.; Sparks, R. S. J.; Gardeweg, M. C.
2000-12-01
Investigations have been made on the distribution of pumice and lithic clasts in the lithic rich Soncor ignimbrite (26.5 ka) and the 1993 pumice flow deposits of Lascar Volcano, Chile. The Soncor ignimbrite shows three main lithofacies which grade into one another. Coarse lithic breccias range from matrix poor stratified varieties, irregular shaped sheets and elongate hummocks in proximal environments, to breccia lenses with pumiceous ignimbrite matrix. Massive, lithic rich facies comprise the bulk of the ignimbrite. Pumice rich facies are bimodal with abundant large pumice clasts (often with reverse grading), rare lithic clasts and occur distally and on high ground adjacent to deep proximal valleys. In the 1993 pyroclastic flow deposits lithic rich facies are deposited on slopes up to 14° whereas pumice rich facies are deposited only on slopes <4°. Lithic rich parts show a thin pumice rich corrugated surface which can be traced into the pumice rich facies. The high lithic content in the Soncor ignimbrite is attributed to the destruction of a pre-existing dome complex, deep explosive cratering into the interior of the volcano and erosion during pyroclastic flow emplacement. Lithic clasts incorporated into the flows during erosion of the basement substrate have been distinguished from those derived from the vent. Categorisation of these lithics and knowledge of the local geology allows these clasts to be used as tracers to interpret former flow dynamics. Lithic populations demonstrate local flow paths and show that lithics are picked up preferentially where flows move around or over obstacles, or through constrictions. Eroded lithics can be anomalously large, particularly close to the location of erosion. Observations of both the Soncor ignimbrite and the 1993 deposits show that lithic rich parts of flows were much more erosive than pumice rich parts. Both the Soncor and 1993 deposits are interpreted as resulting from predominantly high concentration granular suspensions where particle-particle interactions played a major role. The concentrated flows segregated from more expanded and turbulent suspension currents within a few kilometres of the source. During emplacement some degree of internal mixing is inferred to have occurred enabling entrained lithics to migrate into flow interiors. The facies variations and distributions and the strong negative correlation between maximum pumice and lithic clast size are interpreted as the consequence of efficient density segregation within the concentrated flows. The frictional resistance of the lithic rich part is greater so that it deposits on steeper slopes and generally closer to the source. The lower density and more mobile pumice rich upper portions continued to flow and sequentially detached from the lithic rich base of the flow. Pumice rich portions moved to the margins and distal parts of the flow so that distal deposits are lithic poor and non-erosive. The flows are therefore envisaged as going though several important transformations. Proximally, dense, granular flow, undercurrents are formed by rapid sedimentation of suspension currents. Medially to distally the undercurrents evolve to flows with significantly different rheology and mobility characteristics as lithic clasts are sedimented out and distal flows become dominated by pumice.
Hybrid modeling of microbial exopolysaccharide (EPS) production: The case of Enterobacter A47.
Marques, Rodolfo; von Stosch, Moritz; Portela, Rui M C; Torres, Cristiana A V; Antunes, Sílvia; Freitas, Filomena; Reis, Maria A M; Oliveira, Rui
2017-03-20
Enterobacter A47 is a bacterium that produces high amounts of a fucose-rich exopolysaccharide (EPS) from glycerol residue of the biodiesel industry. The fed-batch process is characterized by complex non-linear dynamics with highly viscous pseudo-plastic rheology due to the accumulation of EPS in the culture medium. In this paper, we study hybrid modeling as a methodology to increase the predictive power of models for EPS production optimization. We compare six hybrid structures that explore different levels of knowledge-based and machine-learning model components. Knowledge-based components consist of macroscopic material balances, Monod type kinetics, cardinal temperature and pH (CTP) dependency and power-law viscosity models. Unknown dependencies are set to be identified by a feedforward artificial neural network (ANN). A semiparametric identification schema is applied resorting to a data set of 13 independent fed-batch experiments. A parsimonious hybrid model was identified that describes the dynamics of the 13 experiments with the same parameterization. The final model is specific to Enterobacter A47 but can be easily extended to other microbial EPS processes. Copyright © 2017 Elsevier B.V. All rights reserved.
NASA Astrophysics Data System (ADS)
Elmesky, Rowhea
2013-06-01
This article describes the substance, structure, and rationale of a learning progression in genetics spanning kindergarten through twelfth grade (K-12). The learning progression is designed to build a foundation towards understanding protein structure and activity and should be viewed as one possible pathway to understanding concepts of genetics and ultimately protein expression, based on the existing research. The kindergarten through fifth grade segment reflects findings that show children have a rich knowledge base and sophisticated cognitive abilities, and therefore, is designed so that elementary-aged children can learn content in deep and abstract manners, as well as apply scientific explanations appropriate to their knowledge level. The article also details the LP segment facilitating secondary students' understanding by outlining the overlapping conceptual frames which guide student learning from cell structures and functions to cell splitting (both cell division and gamete formation) to genetics as trait transmission, culminating in genetics as protein expression. The learning progression product avoids the use of technical language, which has been identified as a prominent source of student misconceptions in learning cellular biology, and explicit connections between cellular and macroscopic phenomena are encouraged.
Climate and landscape explain richness patterns depending on the type of species' distribution data
NASA Astrophysics Data System (ADS)
Tsianou, Mariana A.; Koutsias, Nikolaos; Mazaris, Antonios D.; Kallimanis, Athanasios S.
2016-07-01
Understanding the patterns of species richness and their environmental drivers, remains a central theme in ecological research and especially in the continental scales where many conservation decisions are made. Here, we analyzed the patterns of species richness from amphibians, reptiles and mammals at the EU level. We used two different data sources for each taxon: expert-drawn species range maps, and presence/absence atlases. As environmental drivers, we considered climate and land cover. Land cover is increasingly the focus of research, but there still is no consensus on how to classify land cover to distinct habitat classes, so we analyzed the CORINE land cover data with three different levels of thematic resolution (resolution of classification scheme ˗ less to more detailed). We found that the two types of species richness data explored in this study yielded different richness maps. Although, we expected expert-drawn range based estimates of species richness to exceed those from atlas data (due to the assumption that species are present in all locations throughout their region), we found that in many cases the opposite is true (the extreme case is the reptiles where more than half of the atlas based estimates were greater than the expert-drawn range based estimates). Also, we detected contrasting information on the richness drivers of biodiversity patterns depending on the dataset used. For atlas based richness estimates, landscape attributes played more important role than climate while for expert-drawn range based richness estimates climatic variables were more important (for the ectothermic amphibians and reptiles). Finally we found that the thematic resolution of the land cover classification scheme, also played a role in quantifying the effect of land cover diversity, with more detailed thematic resolution increasing the relative contribution of landscape attributes in predicting species richness.
Using the DOE Knowledge Base for Special Event Analysis
DOE Office of Scientific and Technical Information (OSTI.GOV)
Armstrong, H.M.; Harris, J.M.; Young, C.J.
1998-10-20
The DOE Knowledge Base is a library of detailed information whose purpose is to support the United States National Data Center (USNDC) in its mission to monitor compliance with the Comprehensive Test Ban Treaty (CTBT). One of the important tasks which the USNDC must accomplish is to periodically perform detailed analysis of events of high interest, so-called "Special Events", to provide the national authority with information needed to make policy decisions. In this paper we investigate some possible uses of the Knowledge Base for Special Event Analysis (SEA), and make recommendations for improving Knowledge Base support for SEA. To analyzemore » an event in detail, there are two basic types of data which must be used sensor-derived data (wave- forms, arrivals, events, etc.) and regiohalized contextual data (known sources, geological characteristics, etc.). Cur- rently there is no single package which can provide full access to both types of data, so for our study we use a separate package for each MatSeis, the Sandia Labs-developed MATLAB-based seismic analysis package, for wave- form data analysis, and ArcView, an ESRI product, for contextual data analysis. Both packages are well-suited to pro- totyping because they provide a rich set of currently available functionality and yet are also flexible and easily extensible, . Using these tools and Phase I Knowledge Base data sets, we show how the Knowledge Base can improve both the speed and the quality of SEA. Empirically-derived interpolated correction information can be accessed to improve both location estimates and associated error estimates. This information can in turn be used to identi~ any known nearby sources (e.g. mines, volcanos), which may then trigger specialized processing of the sensor data. Based on the location estimate, preferred magnitude formulas and discriminants can be retrieved, and any known blockages can be identified to prevent miscalculations. Relevant historic events can be identilled either by spatial proximity searches or through waveform correlation processing. The locations and waveforms of these events can then be made available for side-by-side comparison and processing. If synthetic modeling is thought to be warranted, a wide variety of rele- vant contextu~l information (e.g. crustal thickness and layering, seismic velocities, attenuation factors) can be retrieved and sent to the appropriate applications. Once formedj the synthetics can then be brought in for side-by-side comparison and fhrther processing. Based on our study, we make two general recommendations. First, proper inter-process communication between sensor data analysis software and contextual data analysis sofisvare should be developed. Second, some of the Knowl- edge Base data sets should be prioritized or winnowed to streamline comparison with observed quantities.« less
Araújo, Maria Aparecida de Moura; da Rocha, Antônio Elielson Sousa; Miranda, Izildinha de Souza; Barbosa, Reinaldo Imbrozio
2017-01-01
Studies on plant communities in the Amazon have reported that different hydro-edaphic conditions can affect the richness and the species composition of different ecosystems. However, this aspect is poorly known in the different savanna habitats. Understanding how populations and plant communities are distributed in these open vegetation areas is important to improve the knowledge about which environmental variables influence the occurrence and diversity of plants in this type of regional ecosystem. Thus, this study investigated the richness and composition of plant species in two savanna areas of the northern Brazilian Amazonia, using the coverage (%) of the different life forms observed under different hydro-edaphic conditions as a structural reference. We report 128 plant species classified in 34 botanical families distributed in three savanna habitats with different levels of hydro-edaphic restrictions. In this study, the habitats are conceptually presented and they integrate environmental information (edaphic factors and drainage type), which determines differences between floristic composition, species richness and coverage (%) of plant life forms.
International collaborations in learning and teaching: perspectives from a visiting professorship.
Spring, Hannah; Kunkel, Marita; Gilman, Isaac; Henderson, Nancy; White, John
2016-09-01
This article provides a reflection on the outcomes of an international collaboration between health librarians and academics at York St John University and Pacific University Oregon. In particular, it describes how a month-long visiting professorship from an academic with a clinical librarian background at the Faculty of Health and Life Sciences helped to develop and inform teaching practice in the areas of information literacy and evidence-based health practice on health programmes at Pacific University. Perspectives are offered from both institutions on the rich exchange of knowledge and practice that took place during the visit and the ongoing impact it has had on teaching practices. H. S. © 2016 Health Libraries Group.
Summarization of an online medical encyclopedia.
Fiszman, Marcelo; Rindflesch, Thomas C; Kilicoglu, Halil
2004-01-01
We explore a knowledge-rich (abstraction) approach to summarization and apply it to multiple documents from an online medical encyclopedia. A semantic processor functions as the source interpreter and produces a list of predications. A transformation stage then generalizes and condenses this list, ultimately generating a conceptual condensate for a given disorder topic. We provide a preliminary evaluation of the quality of the condensates produced for a sample of four disorders. The overall precision of the disorder conceptual condensates was 87%, and the compression ratio from the base list of predications to the final condensate was 98%. The conceptual condensate could be used as input to a text generator to produce a natural language summary for a given disorder topic.
Mass spectrometry-based analysis of whole-grain phytochemicals.
Koistinen, Ville Mikael; Hanhineva, Kati
2017-05-24
Whole grains are a rich source of several classes of phytochemicals, such as alkylresorcinols, benzoxazinoids, flavonoids, lignans, and phytosterols. A high intake of whole grains has been linked to a reduced risk of some major noncommunicable diseases, and it has been postulated that a complex mixture of phytochemicals works in synergy to generate beneficial health effects. Mass spectrometry, especially when coupled with liquid chromatography, is a widely used method for the analysis of phytochemicals owing to its high sensitivity and dynamic range. In this review, the current knowledge of the mass spectral properties of the most important classes of phytochemicals found in cereals of common wheat, barley, oats, and rye is discussed.
Milcu, Alexandru; Eugster, Werner; Bachmann, Dörte; Guderle, Marcus; Roscher, Christiane; Gockele, Annette; Landais, Damien; Ravel, Olivier; Gessler, Arthur; Lange, Markus; Ebeling, Anne; Weisser, Wolfgang W; Roy, Jacques; Hildebrandt, Anke; Buchmann, Nina
2016-08-01
The impact of species richness and functional diversity of plants on ecosystem water vapor fluxes has been little investigated. To address this knowledge gap, we combined a lysimeter setup in a controlled environment facility (Ecotron) with large ecosystem samples/monoliths originating from a long-term biodiversity experiment (The Jena Experiment) and a modeling approach. Our goals were (1) quantifying the impact of plant species richness (four vs. 16 species) on day- and nighttime ecosystem water vapor fluxes; (2) partitioning ecosystem evapotranspiration into evaporation and plant transpiration using the Shuttleworth and Wallace (SW) energy partitioning model; and (3) identifying the most parsimonious predictors of water vapor fluxes using plant functional-trait-based metrics such as functional diversity and community weighted means. Daytime measured and modeled evapotranspiration were significantly higher in the higher plant diversity treatment, suggesting increased water acquisition. The SW model suggests that, at low plant species richness, a higher proportion of the available energy was diverted to evaporation (a non-productive flux), while, at higher species richness, the proportion of ecosystem transpiration (a productivity-related water flux) increased. While it is well established that LAI controls ecosystem transpiration, here we also identified that the diversity of leaf nitrogen concentration among species in a community is a consistent predictor of ecosystem water vapor fluxes during daytime. The results provide evidence that, at the peak of the growing season, higher leaf area index (LAI) and lower percentage of bare ground at high plant diversity diverts more of the available water to transpiration, a flux closely coupled with photosynthesis and productivity. Higher rates of transpiration presumably contribute to the positive effect of diversity on productivity. © 2016 by the Ecological Society of America.
NASA Astrophysics Data System (ADS)
Rodrigues, L.; Valente, T.; Correia, A.; Alves, A.; Foing, B.; Davies, G. R.
2012-04-01
In the acid mine drainage of Valdarcas, northern Portugal, Fe-rich tubular and spherical macroaccretions are directly associated with the presence of eukaryotic microorganisms. This raises the question whether they are biogenically-derived or the result of an abiotic process mediated by microeukaryotic phototrophs. The drainage water at Valdarcas is characterized by very low pH values (pH<3.5), high metal solubility and presence of iron colloids. Mineralogical analysis (XRD and SEM) of the precipitates indicates a mixture of goethite, schwertmannite and jarosite. Euglenophyta and Chlorophyta acidophilic algal were previously identified in this site. The spatial distribution of Euglena mutabilis indicated that it has a preference to grow up on schwertmannite-rich precipitates. Field observations demonstrate the existence of oxygenated microenvironments created by algal activity suggesting that algae influence iron minerals precipitation, especially schwertmannite. The mineral-microorganism interactions are relevant to understanding this unique and extreme environment. Further investigations regarding the mineralogical and chemical characterization of these deposits, and the identification of microorganisms involved in the process could be helpful to enhance our knowledge of past Fe formations throughout Earth's primordial environment. It is expectable that this information will contribute to establish a framework for recognition of biosignatures on other planets and extraterrestrial bodies. In this study, results on the chemical and mineralogical composition of the structures are presented. The biological context is characterised based on observations made by optical microscopy complemented with molecular data on the microbial communities obtained by culture independent methods. The results are discussed within the context of two models: the studied Fe-rich stromatolites are microeukaryotic-mediated as described by previous workers from similar environments or are the consequence of inorganic precipitation of reduced iron species (Fe(III)) due to the oxygen generated by the photosynthesis?
Most theoretical and empirical studies of productivity–species richness relationships fail to consider linkages among trophic levels. We quantified productivity–richness relationships in detritus-based, water-filled tree-hole communities for two trophic levels: invertebrate consu...
Eduardo, Anderson A
2016-09-07
The positive influence of biodiversity on ecosystem processes was the focus of intense debate in ecology throughout the recent decades, becoming accepted and treated as a new paradigm in contemporary ecology. However, the available literature in this research field extensively explores species richness as an unidimensional measure for biodiversity. The present study explores how different components of biological diversity (number of genotypes, species, and functional groups) can influence an ecosystem process (biomass fixation). A mathematical model was employed and the simulation results showed that species richness per se does not affect the ecosystem productivity. Genotypic richness affected positively the ecosystem, but only if the genotypes are functionally complementary. The functional groups richness always affected positively the simulated ecosystem process. When together, richness at the different components of biological diversity showed stronger effect on ecosystem, and the scenarios with high species, genotypes and functional groups richness were the most productive ones. The results also allowed to observe that the ecosystems which are diverse in terms of functional groups and genotypes can be less susceptible to species loss. Finally, it is argued that a multiple dimension approach to biodiversity is relevant to advance the current knowledge on the relation between biodiversity and ecosystem functioning. Copyright © 2016 Elsevier Ltd. All rights reserved.
An Integrated Theatre Production for School Nutrition Promotion Program
Bush, Robert; Box, Selina; McCallum, David; Khalil, Stephanie
2018-01-01
In the context of stubbornly high childhood obesity rates, health promotion activities in schools provide a potential avenue to improve children’s nutritional behaviours. Theatre production has a rich history as a health behaviour promotion strategy but lacks sound, outcome-based evaluation. This study evaluated the effect of an integrated, two-part, place-based theatre performance program with 212 students in five schools in a regional urban and semi-rural area. The program included a theatre performance and a healthy eating competition. A brief survey assessed student healthy eating knowledge and attitudes at three time points. Nutrition behaviour was measured by scoring the contents of children’s lunch boxes before, during and up to six weeks after the intervention. Statistical analysis tested change over time on five variables (Knowledge, Attitude, Sometimes foods, Everyday foods, Overall lunch box score). Results showed that both components of the integrated program improved nutrition knowledge and that the theatre performance improved children’s healthy eating attitudes. All three lunch box scores peaked after the integrated program and remained significantly higher than baseline at 4–6 weeks follow-up. Interaction effects were identified for school catchment area on four of the five dependent variables. Evaluation of this integrated theatre production program indicates the potential benefit of taking a “super-setting” approach. It demonstrates an effect from students taking home information they had learned and incorporating it into lunch box preparation. It also showed consistent effects for school geographical catchment. This study suggests that, with careful, theory-based design, theatre productions in schools can improve student nutritional activities. PMID:29498690
An Integrated Theatre Production for School Nutrition Promotion Program.
Bush, Robert; Capra, Sandra; Box, Selina; McCallum, David; Khalil, Stephanie; Ostini, Remo
2018-03-02
In the context of stubbornly high childhood obesity rates, health promotion activities in schools provide a potential avenue to improve children's nutritional behaviours. Theatre production has a rich history as a health behaviour promotion strategy but lacks sound, outcome-based evaluation. This study evaluated the effect of an integrated, two-part, place-based theatre performance program with 212 students in five schools in a regional urban and semi-rural area. The program included a theatre performance and a healthy eating competition. A brief survey assessed student healthy eating knowledge and attitudes at three time points. Nutrition behaviour was measured by scoring the contents of children's lunch boxes before, during and up to six weeks after the intervention. Statistical analysis tested change over time on five variables (Knowledge, Attitude, Sometimes foods, Everyday foods, Overall lunch box score). Results showed that both components of the integrated program improved nutrition knowledge and that the theatre performance improved children's healthy eating attitudes. All three lunch box scores peaked after the integrated program and remained significantly higher than baseline at 4-6 weeks follow-up. Interaction effects were identified for school catchment area on four of the five dependent variables. Evaluation of this integrated theatre production program indicates the potential benefit of taking a "super-setting" approach. It demonstrates an effect from students taking home information they had learned and incorporating it into lunch box preparation. It also showed consistent effects for school geographical catchment. This study suggests that, with careful, theory-based design, theatre productions in schools can improve student nutritional activities.
NASA Astrophysics Data System (ADS)
Etkina, Eugenia; Gitomer, Drew; Iaconangelo, Charles; Phelps, Geoffrey; Seeley, Lane; Vokos, Stamatis
2018-06-01
Research into teacher learning and practice over the last three decades shows that the teachers of a specific subject need to possess knowledge that is different from the knowledge of other content experts. Yet this specialized version of content knowledge that teachers need to plan instruction, respond to student ideas, and assess student understanding in real time is a theoretically elusive construct. It is crucial for the fields of precollege teacher preparation, teacher professional education, and postsecondary faculty professional development to (a) clarify the construct that underlies this specialized content knowledge, (b) operationalize it in some domain, (c) measure it in both static contexts and as it is enacted in the classroom, and (d) correlate its presence with "richness" of classroom instruction and its effect on student learning. This paper documents a piece of a multiyear, multi-institutional effort to investigate points (a)-(d) in the domain of energy in the first high school physics course. In particular, we describe the framework that we developed to clarify content knowledge for teaching in the context of high school energy learning. We then outline the process through which we developed, tested, and refined a "paper-and-pencil" assessment administered on a computer and discuss the substantive and psychometric features of several items based on a field test of the final form of the assessment. We choose to discuss these items for a dual purpose: to illustrate the application of our general framework and to present performance findings from a sample of 362 practicing high school teachers of physics.
When fragments link: a bibliometric perspective on the development of fragment-based drug discovery.
Romasanta, Angelo K S; van der Sijde, Peter; Hellsten, Iina; Hubbard, Roderick E; Keseru, Gyorgy M; van Muijlwijk-Koezen, Jacqueline; de Esch, Iwan J P
2018-05-05
Fragment-based drug discovery (FBDD) is a highly interdisciplinary field, rich in ideas integrated from pharmaceutical sciences, chemistry, biology, and physics, among others. To enrich our understanding of the development of the field, we used bibliometric techniques to analyze 3642 publications in FBDD, complementing accounts by key practitioners. Mapping its core papers, we found the transfer of knowledge from academia to industry. Co-authorship analysis showed that university-industry collaboration has grown over time. Moreover, we show how ideas from other scientific disciplines have been integrated into the FBDD paradigm. Keyword analysis showed that the field is organized into four interconnected practices: library design, fragment screening, computational methods, and optimization. This study highlights the importance of interactions among various individuals and institutions from diverse disciplines in newly emerging scientific fields. Copyright © 2018. Published by Elsevier Ltd.
Beauchamp, Tom L; Wobber, Victoria
2014-04-01
Literature on the mental capacities and cognitive mechanisms of the great apes has been silent about whether they can act autonomously. This paper provides a philosophical theory of autonomy supported by psychological studies of the cognitive mechanisms that underlie chimpanzee behavior to argue that chimpanzees can act autonomously even though their psychological mechanisms differ from those of humans. Chimpanzees satisfy the two basic conditions of autonomy: (1) liberty (the absence of controlling influences) and (2) agency (self-initiated intentional action), each of which is specified here in terms of conditions of understanding, intention, and self-control. In this account, chimpanzees make knowledge-based choices reflecting a richly information-based and socially sophisticated understanding of the world. Finally, two major theories of autonomy (Kantian theory and two-level theory) are rejected as too narrow to adequately address these issues, necessitating the modifications made in the present approach.
Ecological periodic tables: in principle and practice (in OIKOS)
“Science is organized knowledge.” Immanuel Kant (1724–1804) Ecological periodic tables are an information organizing system with categorical habitat types as elements and predictably recurring (periodic) properties of a target biotic community, such as its relative species rich...
ERIC Educational Resources Information Center
Glaser, Robert
This paper briefly reviews research on tasks in knowledge-rich domains including developmental studies, work in artificial intelligence, studies of expert/novice problem solving, and information processing analysis of aptitude test tasks that have provided increased understanding of the nature of expertise. Particularly evident is the finding that…
iSTEM: Tinkering with Buoyancy
ERIC Educational Resources Information Center
Lee, Mi Yeon
2014-01-01
In the technology-rich twenty-first century, students are required to actively construct their knowledge and collaboratively engage in problem solving by using such skills as adaptability, communication, self-management, and systematic thinking. In accordance with this necessity, science, technology, engineering, and mathematics (STEM) education…
NASA Astrophysics Data System (ADS)
Purkiss, C.
2015-12-01
In many professional development programs, teachers attend workshops to learn new knowledge and skills and then are expected to go back to their classrooms and implement what they learned. Often skills or an activity is learned but does not necessarily get practiced in the classroom. Very few professional development programs add direct, immediate practice with children where teachers can try out immediately the new activities or the knowledge they have just learned. In this case, the program directors wanted to see that, by having children to practice with in a non-threatening, low stakes environment, if participants would incorporate the activities and knowledge learned during the workshop into their classrooms in a more immediate way. Would immediate practice help participants internalize the new knowledge and skills and thus create a fund of knowledge that they would use immediately on their return to the classroom. As part of a grant for professional development for underserved elementary teachers on climate literacy, an innovative children's camp was added to a summer intensive workshop. Prior to the summer workshop, participants completed an eight-week online graduate level course on the basics of inquiry-based science. Participants then attended the intensive three-week workshop to gain knowledge in weather and climate and how to teach these concepts in their classrooms. The workshop was rich in materials and resources for participants. During the third week of the workshop, teachers were camp leaders to 100 elementary students in grades 3 through 5 who were participating in "Climate Camp". Various evaluation and assessments were completed during the program on all participants. Through various evaluation methods, it was found that there was a positive transfer of knowledge to the classroom.
Quinn, Courtney E; Quinn, John E; Halfacre, Angela C
2015-10-01
The interest in improved environmental sustainability of agriculture via biodiversity provides an opportunity for placed-based research on the conceptualization and articulation of ecosystem services. Yet, few studies have explored how farmers conceptualize the relationship between their farm and nature and by extension ecosystem services. Examining how farmers in the Southern Piedmont of South Carolina discuss and explain the role of nature on their farm, we create a detail-rich picture of how they perceive ecosystem services and their contributions to the agroeconomy. Using 34 semi-structured interviews, we developed a detail-rich qualitative portrait of these farmers' conceptualizations of ecosystem services. Farmers' conceptualization of four ecosystem services: provisioning, supporting, regulating, and cultural are discussed, as well as articulation of disservices. Results of interviews show that most interviewees expressed a basic understanding of the relationship between nature and agriculture and many articulated benefits provided by nature to their farm. Farmers referred indirectly to most services, though they did not attribute services to biodiversity or ecological function. While farmers have a general understanding and appreciation of nature, they lack knowledge on specific ways biodiversity benefits their farm. This lack of knowledge may ultimately limit farmer decision-making and land management to utilize ecosystem services for environmental and economic benefits. These results suggest that additional communication with farmers about ecosystem services is needed as our understanding of these benefits increases. This change may require collaboration between conservation biology professionals and extension and agriculture professionals to extended successful biomass provisioning services to other ecosystem services.
Natural Products in Caries Research: Current (Limited) Knowledge, Challenges and Future Perspective
Jeon, J.-G; Rosalen, P.L.; Falsetta, M.L.; Koo, H.
2011-01-01
Dental caries is the most prevalent and costly oral infectious disease worldwide. Virulent biofilms firmly attached to tooth surfaces are prime biological factors associated with this disease. The formation of an exopolysaccharide-rich biofilm matrix, acidification of the milieu and persistent low pH at the tooth-biofilm interface are major controlling virulence factors that modulate dental caries pathogenesis. Each one offers a selective therapeutic target for prevention. Although fluoride, delivered in various modalities, remains the mainstay for the prevention of caries, additional approaches are required to enhance its effectiveness. Available antiplaque approaches are based on the use of broad-spectrum microbicidal agents, e.g. chlorhexidine. Natural products offer a rich source of structurally diverse substances with a wide range of biological activities, which could be useful for the development of alternative or adjunctive anticaries therapies. However, it is a challenging approach owing to complex chemistry and isolation procedures to derive active compounds from natural products. Furthermore, most of the studies have been focused on the general inhibitory effects on glucan synthesis as well as on bacterial metabolism and growth, often employing methods that do not address the pathophysiological aspects of the disease (e.g. bacteria in biofilms) and the length of exposure/retention in the mouth. Thus, the true value of natural products in caries prevention and/or their exact mechanisms of action remain largely unknown. Nevertheless, natural substances potentially active against virulent properties of cariogenic organisms have been identified. This review focuses on gaps in the current knowledge and presents a model for investigating the use of natural products in anticaries chemotherapy. PMID:21576957
Andean rural children's views of the environment: A qualitative study
NASA Astrophysics Data System (ADS)
Maurial, Mahia
Andean rural children's drawings and narratives about their crops and the immediate biological environment are rich tools to understand local views of the environment. Children's drawings and narratives were collected and linked to interviews as well as participant observation gathered from parents, leaders and teachers. The research sites are the community of Willca and the school of Mayu. Fieldwork was completed in 1998. In the conceptual framework I distinguish between two dissimilar knowledges, school knowledge and local knowledge. These knowledges produce two dissimilar views of the environment. I further analyze relationships of knowledge and power and argue that school knowledge overpowers local knowledge. Concomitantly, I studied set of ideas associated with two knowledges aforementioned: superacion (surpass) and regeneration (Apffel-Marglin 1995). Although these ideas coexist in peoples' minds they are not linked or effectively connected. In order to link local knowledge and school knowledge together, I propose the integration of environmental studies and art education to enhance a local sense of place (Blandy et. al 1993) in Andean and other schools. This will contribute to grassroots educational policy.
Perut, Francesca; Dallari, Dante; Rani, Nicola; Baldini, Nicola; Granchi, Donatella
Regenerative strategies based on the use of platelet concentrates as an autologous source of growth factors (GF) has been proposed to promote the healing of long bone nonunions. However, the relatively high failure rate stimulates interest in growing knowledge and developing solutions to obtain the best results from the regenerative approach. In this study we evaluated whether a cell-based assay system could be able to recognize patients who will benefit or not from the use of autologous platelet preparations. The autologous serum was used in culture medium to promote the osteogenic differentiation of normal bone-marrow stromal cells (BMSC). Blood samples were collected from 16 patients affected by aseptic long bone nonunion who were candidates to the treatment with autologous platelet-rich fibrin. The osteoinductive effect was detected by measuring the BMSC proliferation, the mineralization activity, and the expression of bone-related genes. Serum level of basic fibroblast growth factor (bFGF) was considered as a representative marker of the delivery of osteogenic GFs from platelets. Laboratory results were related to the characteristics of the disease before the treatment and to the outcome at 12 months. Serum samples from "good responders" showed significantly higher levels of bFGF and were able to induce a significantly higher proliferation of BMSC, while no significant differences were observed in terms of osteoblast differentiation. BMSC-based assay could be a useful tool to recognize patients who have a low probability to benefit from the use of autologous platelet concentrate to promote the healing of long bone nonunion.
Seijas, Roberto; Rius, Marta; Ares, Oscar; García-Balletbó, Montserrat; Serra, Iván; Cugat, Ramón
2015-04-01
To determine whether the use of plasma rich in growth factors accelerates healing of the donor site in bone-tendon-bone anterior cruciate ligament (ACL) reconstruction (patellar graft). The use of the patellar graft presents post-operative problems such as anterior knee pain, which limits its use and leads to preference being taken for alternative grafts. A double-blind, randomized, clinical trial was performed comparing two groups of patients who underwent ACL reconstruction using patellar tendon graft and comparing the use of plasma rich in growth factors at the donor site after graft harvest in terms of local regeneration by ultrasound assessment. The plasma rich in growth factors group shows earlier donor site regeneration in comparison with the control group (2 months earlier), with significant differences in the first 4 months of the follow-up. The application of plasma rich in growth factors shows accelerated tissue regeneration processes with respect to the control group. This fact, together with the previously published with similar conclusions, can create a knowledge basis in order to set out new recovery guidelines following ACL reconstruction. Therapeutic study, Level I.
Models for Building Knowledge in a Technology-Rich Setting: Teacher Education
ERIC Educational Resources Information Center
MacKinnon, Gregory R.; Aylward, M. Lynn
2009-01-01
Technology offers promising opportunities for creating new types of classroom learning environments. This paper describes three technology models used by teacher education interns: electronic portfolios, negotiative concept mapping, cognote-supported electronic discussions. As implemented in the current study, these models invoke graduated…
78 FR 35038 - Proposed Information Collection Activity; Comment Request
Federal Register 2010, 2011, 2012, 2013, 2014
2013-06-11
..., reliable, and transparent method for identifying high-quality programs that can receive continuing five... the system is working. The study will employ a mixed-methods design that integrates and layers administrative and secondary data sources, observational measures, and interviews to develop a rich knowledge...
Pennington, Victoria E.; Palmquist, Kyle A.; Bradford, John B.; Lauenroth, William K.
2017-01-01
Article for outlet: Plant Ecology. Abstract: Big sagebrush (Artemisia tridentata Nutt.) plant communities are widespread non-forested drylands in western North American and similar to all shrub steppe ecosystems world-wide are composed of a shrub overstory layer and a forb and graminoid understory layer. Forbs account for the majority of plant species diversity in big sagebrush plant communities and are important for ecosystem function. Few studies have explored the geographic patterns of forb species richness and composition and their relationships with environmental variables in these communities. Our objectives were to examine the small and large-scale spatial patterns in forb species richness and composition and the influence of environmental variables. We sampled forb species richness and composition along transects at 15 field sites in Colorado, Idaho, Montana, Nevada, Oregon, Utah, and Wyoming, built species-area relationships to quantify differences in forb species richness at sites, and used Principal Components Analysis and nonmetric multidimensional scaling to identify relationships among environmental variables and forb species richness and composition. We found that species richness was most strongly correlated with soil texture, while species composition was most related to climate. The combination of climate and soil texture influences water availability, with important consequences for forb species richness and composition, which suggests climate-change induced modification of soil water availability may have important implications for plant species diversity in the future. Our paper is the first to our knowledge to examine forb biodiversity patterns in big sagebrush ecosystems in relation to environmental factors across the big sagebrush region.
Species richness and trophic diversity increase decomposition in a co-evolved food web.
Baiser, Benjamin; Ardeshiri, Roxanne S; Ellison, Aaron M
2011-01-01
Ecological communities show great variation in species richness, composition and food web structure across similar and diverse ecosystems. Knowledge of how this biodiversity relates to ecosystem functioning is important for understanding the maintenance of diversity and the potential effects of species losses and gains on ecosystems. While research often focuses on how variation in species richness influences ecosystem processes, assessing species richness in a food web context can provide further insight into the relationship between diversity and ecosystem functioning and elucidate potential mechanisms underpinning this relationship. Here, we assessed how species richness and trophic diversity affect decomposition rates in a complete aquatic food web: the five trophic level web that occurs within water-filled leaves of the northern pitcher plant, Sarracenia purpurea. We identified a trophic cascade in which top-predators--larvae of the pitcher-plant mosquito--indirectly increased bacterial decomposition by preying on bactivorous protozoa. Our data also revealed a facultative relationship in which larvae of the pitcher-plant midge increased bacterial decomposition by shredding detritus. These important interactions occur only in food webs with high trophic diversity, which in turn only occur in food webs with high species richness. We show that species richness and trophic diversity underlie strong linkages between food web structure and dynamics that influence ecosystem functioning. The importance of trophic diversity and species interactions in determining how biodiversity relates to ecosystem functioning suggests that simply focusing on species richness does not give a complete picture as to how ecosystems may change with the loss or gain of species.
Species Richness and Trophic Diversity Increase Decomposition in a Co-Evolved Food Web
Baiser, Benjamin; Ardeshiri, Roxanne S.; Ellison, Aaron M.
2011-01-01
Ecological communities show great variation in species richness, composition and food web structure across similar and diverse ecosystems. Knowledge of how this biodiversity relates to ecosystem functioning is important for understanding the maintenance of diversity and the potential effects of species losses and gains on ecosystems. While research often focuses on how variation in species richness influences ecosystem processes, assessing species richness in a food web context can provide further insight into the relationship between diversity and ecosystem functioning and elucidate potential mechanisms underpinning this relationship. Here, we assessed how species richness and trophic diversity affect decomposition rates in a complete aquatic food web: the five trophic level web that occurs within water-filled leaves of the northern pitcher plant, Sarracenia purpurea. We identified a trophic cascade in which top-predators — larvae of the pitcher-plant mosquito — indirectly increased bacterial decomposition by preying on bactivorous protozoa. Our data also revealed a facultative relationship in which larvae of the pitcher-plant midge increased bacterial decomposition by shredding detritus. These important interactions occur only in food webs with high trophic diversity, which in turn only occur in food webs with high species richness. We show that species richness and trophic diversity underlie strong linkages between food web structure and dynamics that influence ecosystem functioning. The importance of trophic diversity and species interactions in determining how biodiversity relates to ecosystem functioning suggests that simply focusing on species richness does not give a complete picture as to how ecosystems may change with the loss or gain of species. PMID:21673992
Shirima, Deo D; Totland, Ørjan; Moe, Stein R
2016-11-01
The relative importance of resource heterogeneity and quantity on plant diversity is an ongoing debate among ecologists, but we have limited knowledge on relationships between tree diversity and heterogeneity in soil nutrient availability in tropical forests. We expected tree species richness to be: (1) positively related to vertical soil nutrient heterogeneity; (2) negatively related to mean soil nutrient availability; and (3) more influenced by nutrient availability in the upper than lower soil horizons. Using a data set from 60, 20 × 40-m plots in a moist forest, and 126 plots in miombo woodlands in Tanzania, we regressed tree species richness against vertical soil nutrient heterogeneity, both depth-specific (0-15, 15-30, and 30-60 cm) and mean soil nutrient availability, and soil physical properties, with elevation and measures of anthropogenic disturbance as co-variables. Overall, vertical soil nutrient heterogeneity was the best predictor of tree species richness in miombo but, contrary to our prediction, the relationships between tree species richness and soil nutrient heterogeneity were negative. In the moist forest, mean soil nutrient availability explained considerable variations in tree species richness, and in line with our expectations, these relationships were mainly negative. Soil nutrient availability in the top soil layer explained more of the variation in tree species richness than that in the middle and lower layers in both vegetation types. Our study shows that vertical soil nutrient heterogeneity and mean availability can influence tree species richness at different magnitudes in intensively utilized tropical vegetation types.
Orchid Species Richness along Elevational and Environmental Gradients in Yunnan, China
Zhang, Shi-Bao; Chen, Wen-Yun; Huang, Jia-Lin; Bi, Ying-Feng; Yang, Xue-Fei
2015-01-01
The family Orchidaceae is not only one of the most diverse families of flowering plants, but also one of the most endangered plant taxa. Therefore, understanding how its species richness varies along geographical and environmental gradients is essential for conservation efforts. However, such knowledge is rarely available, especially on a large scale. We used a database extracted from herbarium records to investigate the relationships between orchid species richness and elevation, and to examine how elevational diversity in Yunnan Province, China, might be explained by mid-domain effect (MDE), species–area relationship (SAR), water–energy dynamics (WED), Rapoport’s Rule, and climatic variables. This particular location was selected because it is one of the primary centers of distribution for orchids. We recorded 691 species that span 127 genera and account for 88.59% of all confirmed orchid species in Yunnan. Species richness, estimated at 200-m intervals along a slope, was closely correlated with elevation, peaking at 1395 to 1723 m. The elevational pattern of orchid richness was considerably shaped by MDE, SAR, WED, and climate. Among those four predictors, climate was the strongest while MDE was the weakest for predicting the elevational pattern of orchid richness. Species richness showed parabolic responses to mean annual temperature (MAT) and mean annual precipitation (MAP), with maximum richness values recorded at 13.7 to 17.7°C for MAT and 1237 to 1414 mm for MAP. Rapoport’s Rule also helped to explain the elevational pattern of species richness in Yunnan, but those influences were not entirely uniform across all methods. These results suggested that the elevational pattern of orchid species richness in Yunnan is collectively shaped by several mechanisms related to geometric constraints, size of the land area, and environments. Because of the dominant role of climate in determining orchid richness, our findings may contribute to a better understanding of the potential effects of climate change on orchid diversity, and the development of conservation strategies for orchids. PMID:26555336
Discovery of the leinamycin family of natural products by mining actinobacterial genomes
Xu, Zhengren; Guo, Zhikai; Hindra; Ma, Ming; Zhou, Hao; Gansemans, Yannick; Zhu, Xiangcheng; Huang, Yong; Zhao, Li-Xing; Jiang, Yi; Cheng, Jinhua; Van Nieuwerburgh, Filip; Suh, Joo-Won; Duan, Yanwen
2017-01-01
Nature’s ability to generate diverse natural products from simple building blocks has inspired combinatorial biosynthesis. The knowledge-based approach to combinatorial biosynthesis has allowed the production of designer analogs by rational metabolic pathway engineering. While successful, structural alterations are limited, with designer analogs often produced in compromised titers. The discovery-based approach to combinatorial biosynthesis complements the knowledge-based approach by exploring the vast combinatorial biosynthesis repertoire found in Nature. Here we showcase the discovery-based approach to combinatorial biosynthesis by targeting the domain of unknown function and cysteine lyase domain (DUF–SH) didomain, specific for sulfur incorporation from the leinamycin (LNM) biosynthetic machinery, to discover the LNM family of natural products. By mining bacterial genomes from public databases and the actinomycetes strain collection at The Scripps Research Institute, we discovered 49 potential producers that could be grouped into 18 distinct clades based on phylogenetic analysis of the DUF–SH didomains. Further analysis of the representative genomes from each of the clades identified 28 lnm-type gene clusters. Structural diversities encoded by the LNM-type biosynthetic machineries were predicted based on bioinformatics and confirmed by in vitro characterization of selected adenylation proteins and isolation and structural elucidation of the guangnanmycins and weishanmycins. These findings demonstrate the power of the discovery-based approach to combinatorial biosynthesis for natural product discovery and structural diversity and highlight Nature’s rich biosynthetic repertoire. Comparative analysis of the LNM-type biosynthetic machineries provides outstanding opportunities to dissect Nature’s biosynthetic strategies and apply these findings to combinatorial biosynthesis for natural product discovery and structural diversity. PMID:29229819
Discovery of the leinamycin family of natural products by mining actinobacterial genomes.
Pan, Guohui; Xu, Zhengren; Guo, Zhikai; Hindra; Ma, Ming; Yang, Dong; Zhou, Hao; Gansemans, Yannick; Zhu, Xiangcheng; Huang, Yong; Zhao, Li-Xing; Jiang, Yi; Cheng, Jinhua; Van Nieuwerburgh, Filip; Suh, Joo-Won; Duan, Yanwen; Shen, Ben
2017-12-26
Nature's ability to generate diverse natural products from simple building blocks has inspired combinatorial biosynthesis. The knowledge-based approach to combinatorial biosynthesis has allowed the production of designer analogs by rational metabolic pathway engineering. While successful, structural alterations are limited, with designer analogs often produced in compromised titers. The discovery-based approach to combinatorial biosynthesis complements the knowledge-based approach by exploring the vast combinatorial biosynthesis repertoire found in Nature. Here we showcase the discovery-based approach to combinatorial biosynthesis by targeting the domain of unknown function and cysteine lyase domain (DUF-SH) didomain, specific for sulfur incorporation from the leinamycin (LNM) biosynthetic machinery, to discover the LNM family of natural products. By mining bacterial genomes from public databases and the actinomycetes strain collection at The Scripps Research Institute, we discovered 49 potential producers that could be grouped into 18 distinct clades based on phylogenetic analysis of the DUF-SH didomains. Further analysis of the representative genomes from each of the clades identified 28 lnm -type gene clusters. Structural diversities encoded by the LNM-type biosynthetic machineries were predicted based on bioinformatics and confirmed by in vitro characterization of selected adenylation proteins and isolation and structural elucidation of the guangnanmycins and weishanmycins. These findings demonstrate the power of the discovery-based approach to combinatorial biosynthesis for natural product discovery and structural diversity and highlight Nature's rich biosynthetic repertoire. Comparative analysis of the LNM-type biosynthetic machineries provides outstanding opportunities to dissect Nature's biosynthetic strategies and apply these findings to combinatorial biosynthesis for natural product discovery and structural diversity.
How scientific experiments are designed: Problem solving in a knowledge-rich, error-rich environment
NASA Astrophysics Data System (ADS)
Baker, Lisa M.
While theory formation and the relation between theory and data has been investigated in many studies of scientific reasoning, researchers have focused less attention on reasoning about experimental design, even though the experimental design process makes up a large part of real-world scientists' reasoning. The goal of this thesis was to provide a cognitive account of the scientific experimental design process by analyzing experimental design as problem-solving behavior (Newell & Simon, 1972). Three specific issues were addressed: the effect of potential error on experimental design strategies, the role of prior knowledge in experimental design, and the effect of characteristics of the space of alternate hypotheses on alternate hypothesis testing. A two-pronged in vivo/in vitro research methodology was employed, in which transcripts of real-world scientific laboratory meetings were analyzed as well as undergraduate science and non-science majors' design of biology experiments in the psychology laboratory. It was found that scientists use a specific strategy to deal with the possibility of error in experimental findings: they include "known" control conditions in their experimental designs both to determine whether error is occurring and to identify sources of error. The known controls strategy had not been reported in earlier studies with science-like tasks, in which participants' responses to error had consisted of replicating experiments and discounting results. With respect to prior knowledge: scientists and undergraduate students drew on several types of knowledge when designing experiments, including theoretical knowledge, domain-specific knowledge of experimental techniques, and domain-general knowledge of experimental design strategies. Finally, undergraduate science students generated and tested alternates to their favored hypotheses when the space of alternate hypotheses was constrained and searchable. This result may help explain findings of confirmation bias in earlier studies using science-like tasks, in which characteristics of the alternate hypothesis space may have made it unfeasible for participants to generate and test alternate hypotheses. In general, scientists and science undergraduates were found to engage in a systematic experimental design process that responded to salient features of the problem environment, including the constant potential for experimental error, availability of alternate hypotheses, and access to both theoretical knowledge and knowledge of experimental techniques.
NASA Astrophysics Data System (ADS)
Goel, V.; Mishra, S.; Ahlawat, A. S.; Sharma, C.; Kotnala, R. K.
2017-12-01
Aerosol particles are generally considered as chemically homogeneous spheres in the retrieval techniques of ground and space borne observations which is not accurate approach and can lead to erroneous observations. For better simulation of optical and radiative properties of aerosols, a good knowledge of aerosol's morphology, chemical composition and internal structure is essential. Till date, many studies have reported the morphology and chemical composition of particles but very few of them provide internal structure and spatial distribution of different chemical species within the particle. The research on the effect of particle internal structure and its contribution to particle optics is extremely limited. In present work, we characterize the PM10 particles collected form typical arid (the Thar Desert, Rajasthan, India) and typical urban (New Delhi, India) environment using microscopic techniques. The particles were milled several times to investigate their internal structure. The EDS (Energy Dispersive X-ray Spectroscopy) spectra were recorded after each milling to check the variation in the chemical composition. In arid environment, Fe, Ca, C, Al, and Mg rich shell was observed over a Si rich particle whereas in urban environment, shell of Hg, Ag, C and N was observed over a Cu rich particle. Based on the observations, different model shapes [homogenous sphere and spheroid; heterogeneous sphere and spheroid; core shell] have been considered for assessing the associated uncertainties with the routine modeling of optical properties where volume equivalent homogeneous sphere approximation is considered. The details will be discussed during presentation.
NASA Astrophysics Data System (ADS)
França, Susana; Vasconcelos, Rita P.; Fonseca, Vanessa F.; Tanner, Susanne E.; Reis-Santos, Patrick; Costa, Maria José; Cabral, Henrique N.
2012-07-01
Statistical models predicting species distributions are essential not only to increase knowledge on species but for their application in conservation and ecologically-based management. The variation of fish species richness and abundance in the most representative habitats (saltmarsh, mudflat and subtidal) in five estuaries along the Portuguese coast was analysed through seasonal sampling surveys in 2009. Generalized additive models (GAM) were developed to describe the variation of species richness and abundances with a set of geomorphologic, hydrologic and environmental characteristics from the sampled estuaries and habitats. GAM were chosen as the complex interactions dominating these ecosystems and species distribution are non-linear. Final models built for each estuary and for all estuaries together performed well during the calibration phase and also during the validation phase, where an unused data sub-set from each estuary was used. There was not a similar combination of variables retained by the models for the studied estuaries but factors such as the area of the habitat, the distance to estuary mouth, percentage of mud in the sediment and depth were commonly retained. The partial effect of these predictor variables on the variation of species richness and abundance in the estuaries varied markedly and the importance of preserving the heterogeneity of habitats within estuaries was highlighted. Models for each individual estuary performed better than models for estuaries combined. Predictive models could be useful as a preliminary tool to prepare long-term conservation plans at different scales.
Karatayev, Vadim A.; Karatayev, Alexander Y.; Burlakova, Lyubov E.; Rudstam, Lars G.
2014-01-01
Changes in nutrient loading and invasive species are among the strongest human-driven disturbances in freshwater ecosystems, but our knowledge on how they affect the biodiversity of lakes is still limited. We conducted a detailed historical analysis of the mollusc community of Oneida Lake based on our comprehensive lakewide study in 2012 and previous surveys dating back to 1915. In the early 20th century, the lake had a high water clarity, with abundant macrophytes and benthic algae, and hosted the most diverse molluscan community in New York State, including 32 gastropod and 9 unionid species. By the 1960s, lake turbidity increased during a period of anthropogenic eutrophication, resulting in a 38% decline in species richness and a 95% reduction in abundance of native gastropods grazing on benthic algae. Following the invasion of Dreissena spp. in 1991 and subsequent increases in water clarity, native gastropod species richness expanded by 37% and abundance increased 20-fold by 2012. In contrast, filter-feeding unionids were unaffected by increased turbidity during the period of eutrophication but were extirpated by dreissenids. Through contrasting effects on turbidity, eutrophication and Dreissena spp. have likely driven the observed changes in native grazing gastropods by affecting the abundance of light-limited benthic algae. Given the high species richness and ecological importance of benthic grazers, monitoring and managing turbidity is important in preserving molluscan diversity. PMID:25010705
Boundary work for implementing adaptive management: A water sector application.
Adem Esmail, Blal; Geneletti, Davide; Albert, Christian
2017-09-01
Boundary work, defined as effort to mediate between knowledge and action, is a promising approach for facilitating knowledge co-production for sustainable development. Here, we investigate a case study of knowledge co-production, to assess the applicability of boundary work as a conceptual framework to support implementing adaptive management in the water sector. We refer to a boundary work classification recently proposed by Clark et al., (2016), based on three types of knowledge uses, i.e. enlightenment, decision-, and negotiation-support, and three types of sources, i.e. personal expertise, single, and multiple communities of expertise. Our empirical results confirm boundary work has been crucial for the three types of knowledge use. For enlightenment and decision-support, effective interaction among knowledge producers and users was achieved through diverse boundary work practices, including joint agenda setting, and sharing of data and expertise. This initial boundary work eased subsequent knowledge co-production for decision-support and negotiations, in combination with stepping up of cooperation between relevant actors, suitable legislation and pressure for problem solving. Our analysis highlighted the temporal dimension matters - building trust around enlightenment first, and then using this as a basis for managing knowledge co-production for decision-, and negotiation support. We reconfirmed that boundary work is not a single time achievement, rather is a dynamic process, and we emphasized the importance of key actors driving the process, such as water utilities. Our results provide a rich case study of how strategic boundary work can facilitate knowledge co-production for adaptive management in the water sector. The boundary work practices employed here could also be transferred to other cases. Water utilities, as intermediaries between providers and beneficiaries of the important water-related ecosystem service of clean water provision, can indeed serve as key actors for initiating such boundary work practices. Copyright © 2017 Elsevier B.V. All rights reserved.
Method of coating an iron-based article
DOE Office of Scientific and Technical Information (OSTI.GOV)
Magdefrau, Neal; Beals, James T.; Sun, Ellen Y.
A method of coating an iron-based article includes a first heating step of heating a substrate that includes an iron-based material in the presence of an aluminum source material and halide diffusion activator. The heating is conducted in a substantially non-oxidizing environment, to cause the formation of an aluminum-rich layer in the iron-based material. In a second heating step, the substrate that has the aluminum-rich layer is heated in an oxidizing environment to oxidize the aluminum in the aluminum-rich layer.
NASA Astrophysics Data System (ADS)
Malik, Muhammad Danie Al; Kholilah, Nenik; Kurniasih, Eka Maya; Sembiring, Andrianus; Pertiwi, Ni Putu Dian; Ambariyanto, Ambariyanto; Munasik, Munasik; Meyer, Christopher
2018-02-01
Decapod is known as cryptofauna which is also important component of coral reef biodiversity. Dead corals are one of the area which usually used by decapods to live. This research aims to observe the diversity of cryptofauna (decapods) and the correlation between the number of decapods with the volume of dead corals. Ten dead corals, Pocillopora sp., were collected at 5 m depth at Bunaken Island. These dead corals were measured their volume and all decapods found were counted and identified up to family level. The richness and abundance were analyzed using ACE (Abundance-Based Coverage Estimates) and Chao 1. The results show that there were in total 474 decapods from 13 families found within all ten dead corals. Xanthidae was showed as the most abundance family among all, with 161 individual. Diversity index of decapods was found at medium category with value of 2.01. Rarefaction curve based on richness and abundance showed an estimation of 13 families. The result also indicated that the asymptote stage was reached on the 10th dead coral samples. The correlation between decapod with the volume of dead coral were showed significant positive correlation (r = 0.673, p<0.05). This result provides benefits to basic knowledge about diversity of decapod which one of cryptofauna as component fauna have a habitat on coral reef ecosystem.
Effect of nutrient-based fertilisers of olive trees on olive oil quality.
Tekaya, Meriem; Mechri, Beligh; Bchir, Amani; Attia, Faouzi; Cheheb, Hechmi; Daassa, Mohamed; Hammami, Mohamed
2013-06-01
This work was conducted to determine the effects of two nutrient-based fertilisers on the general physicochemical characteristics (including free fatty acid content, peroxide value and UV spectrophotometric characteristics), fatty acid profile, total phenols, o-diphenols and phytosterol composition of olive oil. Foliar applications were carried out in two successive years and included four treatments: TC (control, without foliar nutrition), T1 (rich in nitrogen, applied at the start of vegetation, 10 days later and 20 days later), T2 (rich in boron, magnesium, sulfur and manganese, applied at the beginning of flowering and 10 days later) and T3 (T1+T2). At the end of the experiment (after 2 years), oils were extracted and analysed. No effect was found on either general physicochemical characteristics or fatty acid composition. Foliar fertilisation caused a significant decrease in both polyphenol and o-diphenol contents. Total sterol content was unaffected by foliar fertilisation. However, the phytosterol composition of the oil, particularly its β-sitosterol level, was markedly improved after foliar nutrient application. Principal component analysis of the phytosterol composition showed discrimination between the control oil and the oils from T1, T2 and T3 treatments. The results of this study extend the current knowledge of such cross-talk between plant nutrition and quality of oil. © 2012 Society of Chemical Industry.
Rovero, Francesco; Martin, Emanuel; Rosa, Melissa; Ahumada, Jorge A.; Spitale, Daniel
2014-01-01
Medium-to-large mammals within tropical forests represent a rich and functionally diversified component of this biome; however, they continue to be threatened by hunting and habitat loss. Assessing these communities implies studying species’ richness and composition, and determining a state variable of species abundance in order to infer changes in species distribution and habitat associations. The Tropical Ecology, Assessment and Monitoring (TEAM) network fills a chronic gap in standardized data collection by implementing a systematic monitoring framework of biodiversity, including mammal communities, across several sites. In this study, we used TEAM camera trap data collected in the Udzungwa Mountains of Tanzania, an area of exceptional importance for mammal diversity, to propose an example of a baseline assessment of species’ occupancy. We used 60 camera trap locations and cumulated 1,818 camera days in 2009. Sampling yielded 10,647 images of 26 species of mammals. We estimated that a minimum of 32 species are in fact present, matching available knowledge from other sources. Estimated species richness at camera sites did not vary with a suite of habitat covariates derived from remote sensing, however the detection probability varied with functional guilds, with herbivores being more detectable than other guilds. Species-specific occupancy modelling revealed novel ecological knowledge for the 11 most detected species, highlighting patterns such as ‘montane forest dwellers’, e.g. the endemic Sanje mangabey (Cercocebus sanjei), and ‘lowland forest dwellers’, e.g. suni antelope (Neotragus moschatus). Our results show that the analysis of camera trap data with account for imperfect detection can provide a solid ecological assessment of mammal communities that can be systematically replicated across sites. PMID:25054806
Agoraphobia and the Modern Learner
ERIC Educational Resources Information Center
Dron, Jon; Anderson, Terry
2014-01-01
Read/write social technologies enable rich pedagogies that centre on sharing and constructing content but have two notable weaknesses. Firstly, beyond the safe, nurturing environment of closed groups, students participating in more or less public network- or set-oriented communities may be insecure in their knowledge and skills, leading to…
GIS Enabled PBl Pedagogy: The Effects on Students' Learning in the Classroom
ERIC Educational Resources Information Center
Liu, Yan; Laxman, Kumar
2009-01-01
In efforts aimed at acquainting learners with "how to learn" skills rather than static content knowledge, more student centric instructional approaches are being increasingly adopted in informing curriculum design and delivery. Technology-rich problem solving environments offer great promise in scaffolding and facilitating…
Bigrams and the Richness of the Stimulus
ERIC Educational Resources Information Center
Kam, Xuan-Nga Cao; Stoyneshka, Iglika; Tornyova, Lidiya; Fodor, Janet D.; Sakas, William G.
2008-01-01
Recent challenges to Chomsky's "poverty of the stimulus" thesis for language acquisition suggest that children's primary data may carry "indirect evidence" about linguistic constructions despite containing no instances of them. Indirect evidence is claimed to suffice for grammar acquisition, without need for innate knowledge. This article reports…
America's Culturally Different Children.
ERIC Educational Resources Information Center
Donelson, Kenneth, Ed.
1969-01-01
To maintain within a national unity the richness of cultural diversity that has made America great, school curriculums should develop in the child a knowledge of the country's varying cultures. Teachers should initiate for children meaningful experiences with other cultures to help them appreciate the differences and similarities among people. One…
Dimensions of Drug Information
ERIC Educational Resources Information Center
Sharp, Mark E.
2011-01-01
The high number, heterogeneity, and inadequate integration of drug information resources constitute barriers to many drug information usage scenarios. In the biomedical domain there is a rich legacy of knowledge representation in ontology-like structures that allows us to connect this problem both to the very mature field of library and…
Constructing Virtual Worlds: Tracing the Historical Development of Learner Practices.
ERIC Educational Resources Information Center
Barab, Sasha A.; Hay, Kenneth E.; Barnett, Michael; Squire, Kurt
2001-01-01
Explored learning and instruction within a technology-rich, collaborative, participatory learning environment by tracking the emergence of shared understanding and products through student and teacher practices. Found that becoming knowledgeably skillful with respect to a particular practice or concept is a multigenerational process, evolving in…
Promoting Transfer of Ecosystems Concepts
ERIC Educational Resources Information Center
Yu, Yawen; Hmelo-Silver, Cindy E.; Jordan, Rebecca; Eberbach, Catherine; Sinha, Suparna
2016-01-01
This study examines to what extent students transferred their knowledge from a familiar aquatic ecosystem to an unfamiliar rainforest ecosystem after participating in a technology-rich inquiry curriculum. We coded students' drawings for components of important ecosystems concepts at pre- and posttest. Our analysis examined the extent to which each…
Patterns of orchid bee species diversity and turnover among forested plateaus of central Amazonia
Machado, Carolina de Barros; Galetti, Pedro Manoel; Oliveira, Marcio; Dirzo, Rodolfo; Fernandes, Geraldo Wilson
2017-01-01
The knowledge of spatial pattern and geographic beta-diversity is of great importance for biodiversity conservation and interpreting ecological information. Tropical forests, especially the Amazon Rainforest, are well known for their high species richness and low similarity in species composition between sites, both at local and regional scales. We aimed to determine the effect and relative importance of area, isolation and climate on species richness and turnover in orchid bee assemblages among plateaus in central Brazilian Amazonia. Variance partitioning techniques were applied to assess the relative effects of spatial and environmental variables on bee species richness, phylogeny and composition. We hypothesized that greater abundance and richness of orchid bees would be found on larger plateaus, with a set of core species occurring on all of them. We also hypothesized that smaller plateaus would possess lower phylogenetic diversity. We found 55 bee species distributed along the nine sampling sites (plateaus) with 17 of them being singletons. There was a significant decrease in species richness with decreasing size of plateaus, and a significant decrease in the similarity in species composition with greater distance and climatic variation among sampling sites. Phylogenetic diversity varied among the sampling sites but was directly related to species richness. Although not significantly related to plateau area, smaller or larger PDFaith were observed in the smallest and the largest plateaus, respectively. PMID:28410432
Patterns of orchid bee species diversity and turnover among forested plateaus of central Amazonia.
Antonini, Yasmine; Machado, Carolina de Barros; Galetti, Pedro Manoel; Oliveira, Marcio; Dirzo, Rodolfo; Fernandes, Geraldo Wilson
2017-01-01
The knowledge of spatial pattern and geographic beta-diversity is of great importance for biodiversity conservation and interpreting ecological information. Tropical forests, especially the Amazon Rainforest, are well known for their high species richness and low similarity in species composition between sites, both at local and regional scales. We aimed to determine the effect and relative importance of area, isolation and climate on species richness and turnover in orchid bee assemblages among plateaus in central Brazilian Amazonia. Variance partitioning techniques were applied to assess the relative effects of spatial and environmental variables on bee species richness, phylogeny and composition. We hypothesized that greater abundance and richness of orchid bees would be found on larger plateaus, with a set of core species occurring on all of them. We also hypothesized that smaller plateaus would possess lower phylogenetic diversity. We found 55 bee species distributed along the nine sampling sites (plateaus) with 17 of them being singletons. There was a significant decrease in species richness with decreasing size of plateaus, and a significant decrease in the similarity in species composition with greater distance and climatic variation among sampling sites. Phylogenetic diversity varied among the sampling sites but was directly related to species richness. Although not significantly related to plateau area, smaller or larger PDFaith were observed in the smallest and the largest plateaus, respectively.
Thompson, Anthony Mark; Gray, Dennis Michael; Jackson, Melvin Robert
2003-05-13
A method for providing a protective coating on a metal-based substrate is disclosed. The method involves the application of an aluminum-rich mixture to the substrate to form a discontinuous layer of aluminum-rich particles, followed by the application of a second coating over the discontinuous layer of aluminum-rich particles. Aluminum diffuses from the aluminum-rich layer into the substrate, and into any bond coat layer which is subsequently applied. Related articles are also described. A method for providing a protective coating on a metal-based substrate is disclosed. The method involves the application of an aluminum-rich mixture to the substrate to form a discontinuous layer of aluminum-rich particles, followed by the application of a second coating over the discontinuous layer of aluminum-rich particles. Aluminum diffuses from the aluminum-rich layer into the substrate, and into any bond coat layer which is subsequently applied. Related articles are also described.
ERIC Educational Resources Information Center
Mahaffy, Peter G.; Holme, Thomas A.; Martin-Visscher, Leah; Martin, Brian E.; Versprille, Ashley; Kirchhoff, Mary; McKenzie, Lallie; Town, Marcy
2017-01-01
As one approach to moving beyond transmitting "inert" ideas to chemistry students, we use the term "teaching from rich contexts" to describe implementations of case studies or context-based learning based on systems thinking that provide deep and rich opportunities for learning crosscutting concepts through contexts. This…
Agile lensing-based non-contact liquid level optical sensor for extreme environments
NASA Astrophysics Data System (ADS)
Reza, Syed Azer; Riza, Nabeel A.
2010-09-01
To the best of the author's knowledge, demonstrated is the first opto-fluidic technology- based sensor for detection of liquid levels. An opto-fluidic Electronically Controlled Variable Focus Lens (ECVFL) is used to change the spatial intensity profile of the low power optical beam falling on the liquid surface. By observing, tuning and measuring the liquid surface reflected intensity profile to reach its smallest size, the liquid level is determined through a beam spot size versus ECVFL focal length calibration table. Using a 50 μW 632.8 nm laser wavelength liquid illuminating beam, a proof-of-concept sensor is tested using engine oil, vegetable oil, and detergent fluid with measured liquid levels over a 75 cm range. This non-contact Radio Frequency (RF) modulation-free sensor is particularly suited for hazardous fluids in window-accessed sealed containers including liquid carrying vessels in Electromagnetic Interference (EMI) rich environments.
2017-01-01
Desmostylia is a clade of marine mammals belonging to either Tethytheria or Perissodactyla. Rich fossil records of Desmostylia were found in the Oligocene to Miocene strata of the Northern Pacific Rim, especially in the northwestern region, which includes the Japanese archipelago. Fossils in many shapes and forms, including whole or partial skeletons, skulls, teeth, and fragmentary bones have been discovered from this region. Despite the prevalent availability of fossil records, detailed taxonomic identification based on fragmentary postcranial materials has been difficult owing to to our limited knowledge of the postcranial diagnostic features of many desmostylian taxa. In this study, I propose the utilization of diagnostic characters found in the humerus to identify desmostylian genus. These characters can be used to identify isolated desmostylian humeri at the genus level, contributing to a better understanding of the stratigraphic and geographic distributions of each genus. PMID:29134151
[Consumer knowledge about dietary fibre -- Results of a national questionnaire survey].
Szűcs, Viktória; Harangozó, Júlia; Guiné, Raquel P F
2016-02-21
Dietary fibres are key elements of healthy and balanced diet. The aim of the present study was to explore consumers' knowledge considering fibre, their role in the purchasing decisions, and the cognition of the currently used as well as the possible information sources to encourage the fibre consumption. A questionnaire survey was conducted with 303 respondents. Knowledge about the fibre sources has showed a kind of uncertainty of the respondents, while knowledge about their possible health effects was relatively profound. Internet appeared as a remarkable information source in the topic; however, results pointed out the importance of education, too. Participants more often consuming foodstuffs rich in fibre, women and respondents over 45 years old showed conscious attitudes regarding fibres. Guidelines and education containing authentic information and practical elements are essential, and as a result, consumers' latent knowledge will appear in their conscious food choice decisions.
JOSPT Experiences Tremendous Growth, Change in 14 Years With Editor-in-Chief Simoneau in Charge.
Nyland, John A
2015-12-01
As Editor-in-Chief, Dr Guy G. Simoneau and his editorial board have taken JOSPT from an acceptable US-based journal to a highly influential worldwide force behind contemporary orthopaedic and sports physical therapy research and practice. Today, the bridge Dr Simoneau constructed spans the orthopaedic and sports physical therapy globe for the betterment of clinical practice and research. His work fully supports JOSPT's latest strategic plan to provide value-added knowledge translation, develop a broader authorship and readership, increase global marketing of the JOSPT brand, and expand current relationships to new partners and stakeholders. The bridge places JOSPT on very firm footing, tying its rich history to the promise of an exciting and successful future.
Nematode taxonomy: from morphology to metabarcoding
NASA Astrophysics Data System (ADS)
Ahmed, M.; Sapp, M.; Prior, T.; Karssen, G.; Back, M.
2015-11-01
Nematodes represent a species rich and morphologically diverse group of metazoans inhabiting both aquatic and terrestrial environments. Their role as biological indicators and as key players in nutrient cycling has been well documented. Some groups of nematodes are also known to cause significant losses to crop production. In spite of this, knowledge of their diversity is still limited due to the difficulty in achieving species identification using morphological characters. Molecular methodology has provided very useful means of circumventing the numerous limitations associated with classical morphology based identification. We discuss herein the history and the progress made within the field of nematode systematics, the limitations of classical taxonomy and how the advent of high throughput sequencing is facilitating advanced ecological and molecular studies.
The future of neuropathology in childhood.
Rorke, L B
2000-11-01
The current state of knowledge of pediatric neuropathology is based upon a rich historical heritage dating back many centuries and representing the genius of many people, although, relatively speaking, little specific attention was paid to the unique issues relating to infants and children. Aside from descriptions of morphological features of disease (including tumors), advances in understanding basic pathogenetic mechanisms have flowered only in the recent past. Most exciting has been the progress in molecular biology and genetics, which has yielded a phenomenal bank of information in a short time, uncovering details of genes involved in development of the nervous system and specifically associated with various types of tumors. The future of pediatric neuropathology requires partnership with molecular geneticists whose studies hold promise of defining morphology.
Hidden Markov model analysis of force/torque information in telemanipulation
NASA Technical Reports Server (NTRS)
Hannaford, Blake; Lee, Paul
1991-01-01
A model for the prediction and analysis of sensor information recorded during robotic performance of telemanipulation tasks is presented. The model uses the hidden Markov model to describe the task structure, the operator's or intelligent controller's goal structure, and the sensor signals. A methodology for constructing the model parameters based on engineering knowledge of the task is described. It is concluded that the model and its optimal state estimation algorithm, the Viterbi algorithm, are very succesful at the task of segmenting the data record into phases corresponding to subgoals of the task. The model provides a rich modeling structure within a statistical framework, which enables it to represent complex systems and be robust to real-world sensory signals.
Microbial Life Under Extreme Energy Limitation
NASA Technical Reports Server (NTRS)
Hoehler, Tori M.; Jorgensen, Bo Barker
2013-01-01
A great number of the bacteria and archaea on Earth are found in subsurface environments in a physiological state that is poorly represented or explained by laboratory cultures. Microbial cells in these very stable and oligotrophic settings catabolize 104- to 106-fold more slowly than model organisms in nutrient-rich cultures, turn over biomass on timescales of centuries to millennia rather than hours to days, and subsist with energy fluxes that are 1,000-fold lower than the typical culture-based estimates of maintenance requirements. To reconcile this disparate state of being with our knowledge of microbial physiology will require a revised understanding of microbial energy requirements, including identifying the factors that comprise true basal maintenance and the adaptations that might serve to minimize these factors.
New statistical scission-point model to predict fission fragment observables
NASA Astrophysics Data System (ADS)
Lemaître, Jean-François; Panebianco, Stefano; Sida, Jean-Luc; Hilaire, Stéphane; Heinrich, Sophie
2015-09-01
The development of high performance computing facilities makes possible a massive production of nuclear data in a full microscopic framework. Taking advantage of the individual potential calculations of more than 7000 nuclei, a new statistical scission-point model, called SPY, has been developed. It gives access to the absolute available energy at the scission point, which allows the use of a parameter-free microcanonical statistical description to calculate the distributions and the mean values of all fission observables. SPY uses the richness of microscopy in a rather simple theoretical framework, without any parameter except the scission-point definition, to draw clear answers based on perfect knowledge of the ingredients involved in the model, with very limited computing cost.
Bilal, Selamawit M; Dinant, GeertJan; Blanco, Roman; Crutzen, Rik; Mulugeta, Afework; Spigt, Mark
2016-07-01
Infant and young child feeding has been recognised as an essential element to improve growth of children, especially in developing countries where malnutrition among children and its dire consequences are very prevalent. However, little attention has been paid on the influence of fathers on child feeding practices, although fathers are very important in raising well-adjusted, happy and successful children. Therefore, this study aimed to assess the influence of fathers' child feeding knowledge and practice on children's dietary diversity. A community-based comparative cross-sectional study was conducted among 850 eligible urban and rural households with children of 6-23 months. The father and mother of the child were interviewed on children's dietary diversity and fathers' knowledge and practice of child feeding. Nearly half (46%) of the children in the rural district did not meet the minimum dietary diversity, and in the urban district, the rate was even worse (72%). Grains were the common food group given to the children in both districts, whereas flesh food was the least commonly consumed food group. Additionally, low vitamin A-rich food and other fruit and vegetable consumption seem to be a problem in both districts. Almost all dimensions of fathers' knowledge and practice were significantly related to children's minimum dietary diversity; especially, fathers' knowledge of food groups was an important predictor (P-value < 0.001) in both districts. Interventions that focus on the fathers' knowledge of child feeding, especially about food groups, are recommended to improve children's dietary diversity in the study communities. © 2014 John Wiley & Sons Ltd.
Araújo, Maria Aparecida de Moura; da Rocha, Antônio Elielson Sousa; Miranda, Izildinha de Souza
2017-01-01
Abstract Background Studies on plant communities in the Amazon have reported that different hydro-edaphic conditions can affect the richness and the species composition of different ecosystems. However, this aspect is poorly known in the different savanna habitats. Understanding how populations and plant communities are distributed in these open vegetation areas is important to improve the knowledge about which environmental variables influence the occurrence and diversity of plants in this type of regional ecosystem. Thus, this study investigated the richness and composition of plant species in two savanna areas of the northern Brazilian Amazonia, using the coverage (%) of the different life forms observed under different hydro-edaphic conditions as a structural reference. New information We report 128 plant species classified in 34 botanical families distributed in three savanna habitats with different levels of hydro-edaphic restrictions. In this study, the habitats are conceptually presented and they integrate environmental information (edaphic factors and drainage type), which determines differences between floristic composition, species richness and coverage (%) of plant life forms. PMID:28848372
Making the Most of Mobility: Virtual Mentoring and Education Practitioner Professional Development
ERIC Educational Resources Information Center
Owen, Hazel D.
2015-01-01
Learning provision, including professional learning, needs to embrace mobility (of knowledge, cultures and contexts--physical and cerebral) to enable education practitioners to interact locally and globally, engage with new literacies, access rich contexts, and to question, co-construct and collaborate. Virtual mentoring, also known as distance,…
Aging Memories: Differential Decay of Episodic Memory Components
ERIC Educational Resources Information Center
Talamini, Lucia M.; Gorree, Eva
2012-01-01
Some memories about events can persist for decades, even a lifetime. However, recent memories incorporate rich sensory information, including knowledge on the spatial and temporal ordering of event features, while old memories typically lack this "filmic" quality. We suggest that this apparent change in the nature of memories may reflect a…
Problem-Solving: Scaling the "Brick Wall"
ERIC Educational Resources Information Center
Benson, Dave
2011-01-01
Across the primary and secondary phases, pupils are encouraged to use and apply their knowledge, skills, and understanding of mathematics to solve problems in a variety of forms, ranging from single-stage word problems to the challenge of extended rich tasks. Amongst many others, Cockcroft (1982) emphasised the importance and relevance of…
"Under the Radar": Educators and Cyberbullying in Schools
ERIC Educational Resources Information Center
Cassidy, Wanda; Brown, Karen; Jackson, Margaret
2012-01-01
Educators play an important role in preventing cyberbullying and encouraging positive online behaviour. In this article we report on the educator portion of a study of cyberbullying at two large, technology-rich secondary schools in Canada. We discuss 17 educators' experiences with cyberbullying, their knowledge of social networking technology,…
Usability Evaluation of an Adaptive 3D Virtual Learning Environment
ERIC Educational Resources Information Center
Ewais, Ahmed; De Troyer, Olga
2013-01-01
Using 3D virtual environments for educational purposes is becoming attractive because of their rich presentation and interaction capabilities. Furthermore, dynamically adapting the 3D virtual environment to the personal preferences, prior knowledge, skills and competence, learning goals, and the personal or (social) context in which the learning…
Chemistry Education: Ten Facets to Shape Us
ERIC Educational Resources Information Center
Talanquer, Vicente
2013-01-01
The chemistry knowledge that we want our students to develop is rich, complex, and multifaceted. However, some teachers and instructors at the secondary school and college levels approach it in rather rigid and unidimensional ways. The central goal of this contribution is to describe and discuss 10 different complementary perspectives or…
Interactive Multimedia in Education and Training
ERIC Educational Resources Information Center
Mishra, Sanjaya, Ed.; Sharma, Ramesh C., Ed.
2005-01-01
"Interactive Multimedia in Education and Training" emerges out of the need to share information and knowledge on the research and practices of using multimedia in various educational settings. The book discusses issues related to planning, designing and development of interactive multimedia in a persuasive tone and style, offering rich research…
Cross-Cutting Interoperability in an Earth Science Collaboratory
NASA Technical Reports Server (NTRS)
Lynnes, Christopher; Ramachandran, Rahul; Kuo, Kuo-Sen
2011-01-01
An Earth Science Collaboratory is: A rich data analysis environment with: (1) Access to a wide spectrum of Earth Science data, (3) A diverse set of science analysis services and tools, (4) A means to collaborate on data, tools and analysis, and (5)Supports sharing of data, tools, results and knowledge
Content-Rich Instruction in Preschool
ERIC Educational Resources Information Center
Neuman, Susan B.
2014-01-01
Universal preschool has the potential to close the knowledge gap--but only if we consider how to best teach preschoolers. Unbridled enthusiasm for universal preschool must be balanced with thoughtful consideration of what goes on in these classrooms, and what activities will most support children's learning. Content-centered classrooms help…
ERIC Educational Resources Information Center
Momatiuk, Yva; Eastcott, John
1998-01-01
The Pribilof Islands Stewardship Program aims to preserve the rich species diversity of the islands and recover the sense of connectedness that once linked local Aleuts and their environment. The summer program draws on both science and traditional knowledge, offering Aleut youth the chance to assist scientists, protect the seals, and participate…
Three-Dimensional Printing: A Journey in Visualization
ERIC Educational Resources Information Center
Poetzel, Adam; Muskin, Joseph; Munroe, Anne; Russell, Craig
2012-01-01
Imagine high school students glued to computer screens--not playing video games but applying their mathematical knowledge of functions to the design of three-dimensional sculptures. Imagine these students engaging in rich discourse as they transform functions of their choosing to design unique creations. Now, imagine these students using…
Effects of cooking methods on starch and sugar composition of sweetpotato storage roots
USDA-ARS?s Scientific Manuscript database
Sweet potato has rich nutrition, good ecological adaptability and high yield. There was a lack of knowledge about the relationship among cooking methods, sugar components and cultivars. The objective of this study was to determine sugar composition of four sweet potato cultivars under three cooking ...
ERIC Educational Resources Information Center
Staking, Kimberlee
2013-01-01
Although university students are key participants in knowledge-making processes, their insights about learning are sparsely documented, and too rarely considered in contemporary conversations in higher education. In centering the insights and experiences of students enrolled in two women's studies courses at the University of Maryland, this…
ERIC Educational Resources Information Center
Bajunid, Ibrahim Ahmad
2001-01-01
Describes efforts by Malaysian society to transform itself using technology into an information-rich knowledge society founded on positive universal values. Locates contemporary educational development within the framework of four government-driven initiatives that provide the direction and resources for educational change. Discusses issues…
Multi-Media and Databases for Historical Enquiry: A Report from the Trenches
ERIC Educational Resources Information Center
Hillis, Peter
2003-01-01
The Victorian period produced a diverse and rich range of historical source materials including census returns, photographs, film, personal reminiscences, music, cartoons, and posters. Recent changes to the history curriculum emphasise the acquisition of enquiry skills alongside developing knowledge and understanding, which necessitates reference…
Serious Fun: Life-Deep Learning of Koi Hobbyists
ERIC Educational Resources Information Center
Liu, Chi-Chang
2012-01-01
Hobby activities can be viewed through the lens of informal, free-choice learning. A wide range of hobbies combine fun and learning-intensive practices, and can contribute to scientific literacy. Hobby learning involves clear goal orientation, persistence and effort, and often results in more richly and strongly connected knowledge; traits highly…
Organizational Storytelling among Academic Reference Librarians
ERIC Educational Resources Information Center
Colón-Aguirre, Mónica
2015-01-01
This study focuses on the roles of organizational stories among librarians who work at the reference desk. Twenty librarians employed in four academic institutions were interviewed. Most of the organizational stories shared among the participants and their colleagues were rich in tacit knowledge and can be classified according to four main roles:…
Science Learning via Multimedia Portal Resources: The Scottish Case
ERIC Educational Resources Information Center
Elliot, Dely; Wilson, Delia; Boyle, Stephen
2014-01-01
Scotland's rich heritage in the field of science and engineering and recent curricular developments led to major investment in education to equip pupils with improved scientific knowledge and skills. However, due to its abstract and conceptual nature, learning science can be challenging. Literature supports the role of multimedia technology in…
Pedagogical Dramas and Transformational Play: Narratively Rich Games for Learning
ERIC Educational Resources Information Center
Barab, Sasha A.; Dodge, Tyler; Ingram-Goble, Adam; Pettyjohn, Patrick; Peppler, Kylie; Volk, Charlene; Solomou, Maria
2010-01-01
Although every era is met with the introduction of powerful technologies for entertainment and learning, videogames represent a new contribution binding the two and bearing the potential to create sustained engagement in a curricular drama where the player's knowledgeable actions shape an unfolding fiction within a designed world. Although…
Rassinoux, A-M
2011-01-01
To summarize excellent current research in the field of knowledge representation and management (KRM). A synopsis of the articles selected for the IMIA Yearbook 2011 is provided and an attempt to highlight the current trends in the field is sketched. This last decade, with the extension of the text-based web towards a semantic-structured web, NLP techniques have experienced a renewed interest in knowledge extraction. This trend is corroborated through the five papers selected for the KRM section of the Yearbook 2011. They all depict outstanding studies that exploit NLP technologies whenever possible in order to accurately extract meaningful information from various biomedical textual sources. Bringing semantic structure to the meaningful content of textual web pages affords the user with cooperative sharing and intelligent finding of electronic data. As exemplified by the best paper selection, more and more advanced biomedical applications aim at exploiting the meaningful richness of free-text documents in order to generate semantic metadata and recently to learn and populate domain ontologies. These later are becoming a key piece as they allow portraying the semantics of the Semantic Web content. Maintaining their consistency with documents and semantic annotations that refer to them is a crucial challenge of the Semantic Web for the coming years.
Fang, Ying; Xun, Fen; Bai, Wenming; Zhang, Wenhao; Li, Linghao
2012-01-01
Although community structure and species richness are known to respond to nitrogen fertilization dramatically, little is known about the mechanisms underlying specific species replacement and richness loss. In an experiment in semiarid temperate steppe of China, manipulative N addition with five treatments was conducted to evaluate the effect of N addition on the community structure and species richness. Species richness and biomass of community in each plot were investigated in a randomly selected quadrat. Root element, available and total phosphorus (AP, TP) in rhizospheric soil, and soil moisture, pH, AP, TP and inorganic N in the soil were measured. The relationship between species richness and the measured factors was analyzed using bivariate correlations and stepwise multiple linear regressions. The two dominant species, a shrub Artemisia frigida and a grass Stipa krylovii, responded differently to N addition such that the former was gradually replaced by the latter. S. krylovii and A. frigida had highly-branched fibrous and un-branched tap root systems, respectively. S. krylovii had higher height than A. frigida in both control and N added plots. These differences may contribute to the observed species replacement. In addition, the analysis on root element and AP contents in rhizospheric soil suggests that different calcium acquisition strategies, and phosphorus and sodium responses of the two species may account for the replacement. Species richness was significantly reduced along the five N addition levels. Our results revealed a significant relationship between species richness and soil pH, litter amount, soil moisture, AP concentration and inorganic N concentration. Our results indicate that litter accumulation and soil acidification accounted for 52.3% and 43.3% of the variation in species richness, respectively. These findings would advance our knowledge on the changes in species richness in semiarid temperate steppe of northern China under N deposition scenario.
Disentangling sampling and ecological explanations underlying species-area relationships
Cam, E.; Nichols, J.D.; Hines, J.E.; Sauer, J.R.; Alpizar-Jara, R.; Flather, C.H.
2002-01-01
We used a probabilistic approach to address the influence of sampling artifacts on the form of species-area relationships (SARs). We developed a model in which the increase in observed species richness is a function of sampling effort exclusively. We assumed that effort depends on area sampled, and we generated species-area curves under that model. These curves can be realistic looking. We then generated SARs from avian data, comparing SARs based on counts with those based on richness estimates. We used an approach to estimation of species richness that accounts for species detection probability and, hence, for variation in sampling effort. The slopes of SARs based on counts are steeper than those of curves based on estimates of richness, indicating that the former partly reflect failure to account for species detection probability. SARs based on estimates reflect ecological processes exclusively, not sampling processes. This approach permits investigation of ecologically relevant hypotheses. The slope of SARs is not influenced by the slope of the relationship between habitat diversity and area. In situations in which not all of the species are detected during sampling sessions, approaches to estimation of species richness integrating species detection probability should be used to investigate the rate of increase in species richness with area.
Controllability of social networks and the strategic use of random information.
Cremonini, Marco; Casamassima, Francesca
2017-01-01
This work is aimed at studying realistic social control strategies for social networks based on the introduction of random information into the state of selected driver agents. Deliberately exposing selected agents to random information is a technique already experimented in recommender systems or search engines, and represents one of the few options for influencing the behavior of a social context that could be accepted as ethical, could be fully disclosed to members, and does not involve the use of force or of deception. Our research is based on a model of knowledge diffusion applied to a time-varying adaptive network and considers two well-known strategies for influencing social contexts: One is the selection of few influencers for manipulating their actions in order to drive the whole network to a certain behavior; the other, instead, drives the network behavior acting on the state of a large subset of ordinary, scarcely influencing users. The two approaches have been studied in terms of network and diffusion effects. The network effect is analyzed through the changes induced on network average degree and clustering coefficient, while the diffusion effect is based on two ad hoc metrics which are defined to measure the degree of knowledge diffusion and skill level, as well as the polarization of agent interests. The results, obtained through simulations on synthetic networks, show a rich dynamics and strong effects on the communication structure and on the distribution of knowledge and skills. These findings support our hypothesis that the strategic use of random information could represent a realistic approach to social network controllability, and that with both strategies, in principle, the control effect could be remarkable.
Z-rich solar particle event characteristics 1972-1976
NASA Technical Reports Server (NTRS)
Zwickl, R. D.; Roelof, E. C.; Gold, R. E.; Krimigis, S. M.; Armstrong, T. P.
1978-01-01
It is found in the reported investigation that Z-rich solar particle events usually have large and prolonged anisotropies in addition to an extremely variable charge composition that varies not only from event to event but also throughout the event. These observations suggest that one can no longer regard the event-averaged composition of solar particle events at low energies as providing an unbiased global sample of the solar atmospheric composition. The variability from event to event and among classes of events is just too great. However, the tendency for the Z-rich events to be associated with both the low-speed solar wind at or just before the onset of solar wind streams and with active regions located in the western hemisphere, indicates that charge composition studies of solar particle events can yield a better knowledge of the flare acceleration process as well as the inhomogeneous nature of magnetic field structure and particle composition in the solar atmosphere.
NO-Rich Diet for Lifestyle-Related Diseases
Kobayashi, Jun; Ohtake, Kazuo; Uchida, Hiroyuki
2015-01-01
Decreased nitric oxide (NO) availability due to obesity and endothelial dysfunction might be causally related to the development of lifestyle-related diseases such as insulin resistance, ischemic heart disease, and hypertension. In such situations, instead of impaired NO synthase (NOS)-dependent NO generation, the entero-salivary nitrate-nitrite-NO pathway might serve as a backup system for NO generation by transmitting NO activities in the various molecular forms including NO and protein S-nitrosothiols. Recently accumulated evidence has demonstrated that dietary intake of fruits and vegetables rich in nitrate/nitrite is an inexpensive and easily-practicable way to prevent insulin resistance and vascular endothelial dysfunction by increasing the NO availability; a NO-rich diet may also prevent other lifestyle-related diseases, including osteoporosis, chronic obstructive pulmonary disease (COPD), and cancer. This review provides an overview of our current knowledge of NO generation through the entero-salivary pathway and discusses its safety and preventive effects on lifestyle-related diseases. PMID:26091235
Present knowledge of electronic properties and charge transport of icosahedral boron-rich solids
NASA Astrophysics Data System (ADS)
Werheit, Helmut
2009-06-01
B12 icosahedra or related structure elements determine the different modifications of elementary boron and numerous boron-rich compounds from α-rhombohedral boron with 12 to YB66 type with about 1584 atoms per unit cell. Typical are well-defined high density intrinsic defects: Jahn-Teller distorted icosahedra, vacancies, incomplete occupancies, statistical occupancies and antisite defects. The correlation between intrinsic point defects and electron deficiencies solves the discrepancy between theoretically predicted metal and experimentally proved semiconducting character. The electron deficiencies generate split-off valence states, which are decisive for the electronic transport, a superposition of band-type and hopping-type conduction. Their share depends on actual conditions like temperature or pre-excitation. The theoretical model of bipolaron hopping is incompatible with numerous experiments. Technical application of the typically p-type icosahedral boron-rich solids requires suitable n-type counterparts; doping and other possibilities are discussed.
Automation of route identification and optimisation based on data-mining and chemical intuition.
Lapkin, A A; Heer, P K; Jacob, P-M; Hutchby, M; Cunningham, W; Bull, S D; Davidson, M G
2017-09-21
Data-mining of Reaxys and network analysis of the combined literature and in-house reactions set were used to generate multiple possible reaction routes to convert a bio-waste feedstock, limonene, into a pharmaceutical API, paracetamol. The network analysis of data provides a rich knowledge-base for generation of the initial reaction screening and development programme. Based on the literature and the in-house data, an overall flowsheet for the conversion of limonene to paracetamol was proposed. Each individual reaction-separation step in the sequence was simulated as a combination of the continuous flow and batch steps. The linear model generation methodology allowed us to identify the reaction steps requiring further chemical optimisation. The generated model can be used for global optimisation and generation of environmental and other performance indicators, such as cost indicators. However, the identified further challenge is to automate model generation to evolve optimal multi-step chemical routes and optimal process configurations.
ERIC Educational Resources Information Center
Tan, Edna; Calabrese Barton, Angela
2018-01-01
We investigated how community ethnography as a pedagogy approach to STEM-rich making supported youth makers from two low-income urban communities engaged in sustained STEM-rich making towards making a difference in their communities. Data is drawn from two-year long ethnographic data across two community-based, youth making programs. We highlight…
Main predictors of periphyton species richness depend on adherence strategy and cell size
Siqueira, Tadeu; Landeiro, Victor Lemes; Rodrigues, Liliana; Bonecker, Claudia Costa; Rodrigues, Luzia Cleide; Santana, Natália Fernanda; Thomaz, Sidinei Magela; Bini, Luis Mauricio
2017-01-01
Periphytic algae are important components of aquatic ecosystems. However, the factors driving periphyton species richness variation remain largely unexplored. Here, we used data from a subtropical floodplain (Upper Paraná River floodplain, Brazil) to quantify the influence of environmental variables (total suspended matter, temperature, conductivity, nutrient concentrations, hydrology, phytoplankton biomass, phytoplankton species richness, aquatic macrophyte species richness and zooplankton density) on overall periphytic algal species richness and on the richness of different algal groups defined by morphological traits (cell size and adherence strategy). We expected that the coefficients of determination of the models estimated for different trait-based groups would be higher than the model coefficient of determination of the entire algal community. We also expected that the relative importance of explanatory variables in predicting species richness would differ among algal groups. The coefficient of determination for the model used to predict overall periphytic algal species richness was higher than the ones obtained for models used to predict the species richness of the different groups. Thus, our first prediction was not supported. Species richness of aquatic macrophytes was the main predictor of periphyton species richness of the entire community and a significant predictor of the species richness of small mobile, large mobile and small-loosely attached algae. Abiotic variables, phytoplankton species richness, chlorophyll-a concentration, and hydrology were also significant predictors, depending on the group. These results suggest that habitat heterogeneity (as proxied by aquatic macrophytes richness) is important for maintaining periphyton species richness in floodplain environments. However, other factors played a role, suggesting that the analysis of species richness of different trait-based groups unveils relationships that were not detectable when the entire community was analysed together. PMID:28742122
EHR Documentation: The Hype and the Hope for Improving Nursing Satisfaction and Quality Outcomes.
OʼBrien, Ann; Weaver, Charlotte; Settergren, Theresa Tess; Hook, Mary L; Ivory, Catherine H
2015-01-01
The phenomenon of "data rich, information poor" in today's electronic health records (EHRs) is too often the reality for nursing. This article proposes the redesign of nursing documentation to leverage EHR data and clinical intelligence tools to support evidence-based, personalized nursing care across the continuum. The principles consider the need to optimize nurses' documentation efficiency while contributing to knowledge generation. The nursing process must be supported by EHRs through integration of best care practices: seamless workflows that display the right tools, evidence-based content, and information at the right time for optimal clinical decision making. Design of EHR documentation must attain a balance that ensures the capture of nursing's impact on safety, quality, highly reliable care, patient engagement, and satisfaction, yet minimizes "death by data entry." In 2014, a group of diverse informatics leaders from practice, academia, and the vendor community formed to address how best to transform electronic documentation to provide knowledge at the point of care and to deliver value to front line nurses and nurse leaders. As our health care system moves toward reimbursement on the basis of quality outcomes and prevention, the value of nursing data in this business proposition will become a key differentiator for health care organizations' economic success.
Students' understandings of electrochemistry
NASA Astrophysics Data System (ADS)
O'Grady-Morris, Kathryn
Electrochemistry is considered by students to be a difficult topic in chemistry. This research was a mixed methods study guided by the research question: At the end of a unit of study, what are students' understandings of electrochemistry? The framework of analysis used for the qualitative and quantitative data collected in this study was comprised of three categories: types of knowledge used in problem solving, levels of representation of knowledge in chemistry (macroscopic, symbolic, and particulate), and alternative conceptions. Although individually each of the three categories has been reported in previous studies, the contribution of this study is the inter-relationships among them. Semi-structured, task-based interviews were conducted while students were setting up and operating electrochemical cells in the laboratory, and a two-tiered, multiple-choice diagnostic instrument was designed to identify alternative conceptions that students held at the end of the unit. For familiar problems, those involving routine voltaic cells, students used a working-forwards problem-solving strategy, two or three levels of representation of knowledge during explanations, scored higher on both procedural and conceptual knowledge questions in the diagnostic instrument, and held fewer alternative conceptions related to the operation of these cells. For less familiar problems, those involving non-routine voltaic cells and electrolytic cells, students approached problem-solving with procedural knowledge, used only one level of representation of knowledge when explaining the operation of these cells, scored higher on procedural knowledge than conceptual knowledge questions in the diagnostic instrument, and held a greater number of alternative conceptions. Decision routines that involved memorized formulas and procedures were used to solve both quantitative and qualitative problems and the main source of alternative conceptions in this study was the overgeneralization of theory related to the particulate level of representation of knowledge. The findings from this study may contribute further to our understanding of students' conceptions in electrochemistry. Furthermore, understanding the influence of the three categories in the framework of analysis and their inter-relationships on how students make sense of this field may result in a better understanding of classroom practice that could promote the acquisition of conceptual knowledge --- knowledge that is "rich in relationships".
High-pressure compressibility and vibrational properties of (Ca,Mn)CO 3
Liu, Jin; Caracas, Razvan; Fan, Dawei; ...
2016-12-01
Knowledge of potential carbon carriers such as carbonates is critical for our understanding of the deep-carbon cycle and related geological processes within the planet. Here we investigated the high-pressure behavior of (Ca,Mn)CO 3 up to 75 GPa by synchrotron single-crystal X-ray diffraction, laser Raman spectroscopy, and theoretical calculations. MnCO 3-rich carbonate underwent a structural phase transition from the CaCO 3-I structure into the CaCO 3-VI structure at 45–48 GPa, while CaCO 3-rich carbonate transformed into CaCO 3-III and CaCO 3-VI at approximately 2 and 15 GPa, respectively. The equation of state and vibrational properties of MnCO 3-rich and CaCO 3-richmore » carbonates changed dramatically across the phase transition. The CaCO 3-VI-structured CaCO 3-rich and MnCO 3-rich carbonates were stable at room temperature up to at least 53 and 75 GPa, respectively. In conclusion, the addition of smaller cations (e.g., Mn 2+, Mg 2+, and Fe 2+) can enlarge the stability field of the CaCO 3-I phase as well as increase the pressure of the structural transition into the CaCO 3-VI phase.« less
Diet-Dependent Modular Dynamic Interactions of the Equine Cecal Microbiota
Kristoffersen, Camilla; Jensen, Rasmus B.; Avershina, Ekaterina; Austbø, Dag; Tauson, Anne-Helene; Rudi, Knut
2016-01-01
Knowledge on dynamic interactions in microbiota is pivotal for understanding the role of bacteria in the gut. We herein present comprehensive dynamic models of the horse cecal microbiota, which include short-chained fatty acids, carbohydrate metabolic networks, and taxonomy. Dynamic models were derived from time-series data in a crossover experiment in which four cecum-cannulated horses were fed a starch-rich diet of hay supplemented with barley (starch intake 2 g kg−1 body weight per day) and a fiber-rich diet of only hay. Cecal contents were sampled via the cannula each h for 24 h for both diets. We observed marked differences in the microbial dynamic interaction patterns for Fibrobacter succinogenes, Lachnospiraceae, Streptococcus, Treponema, Anaerostipes, and Anaerovibrio between the two diet groups. Fluctuations and microbiota interactions were the most pronounced for the starch rich diet, with Streptococcus spp. and Anaerovibrio spp. showing the largest fluctuations. Shotgun metagenome sequencing revealed that diet differences may be explained by modular switches in metabolic cross-feeding between microbial consortia in which fermentation is linked to sugar alcohols and amino sugars for the starch-rich diet and monosaccharides for the fiber-rich diet. In conclusion, diet may not only affect the composition of the cecal microbiota, but also dynamic interactions and metabolic cross-feeding. PMID:27773914
Diet-Dependent Modular Dynamic Interactions of the Equine Cecal Microbiota.
Kristoffersen, Camilla; Jensen, Rasmus B; Avershina, Ekaterina; Austbø, Dag; Tauson, Anne-Helene; Rudi, Knut
2016-12-23
Knowledge on dynamic interactions in microbiota is pivotal for understanding the role of bacteria in the gut. We herein present comprehensive dynamic models of the horse cecal microbiota, which include short-chained fatty acids, carbohydrate metabolic networks, and taxonomy. Dynamic models were derived from time-series data in a crossover experiment in which four cecum-cannulated horses were fed a starch-rich diet of hay supplemented with barley (starch intake 2 g kg -1 body weight per day) and a fiber-rich diet of only hay. Cecal contents were sampled via the cannula each h for 24 h for both diets. We observed marked differences in the microbial dynamic interaction patterns for Fibrobacter succinogenes, Lachnospiraceae, Streptococcus, Treponema, Anaerostipes, and Anaerovibrio between the two diet groups. Fluctuations and microbiota interactions were the most pronounced for the starch rich diet, with Streptococcus spp. and Anaerovibrio spp. showing the largest fluctuations. Shotgun metagenome sequencing revealed that diet differences may be explained by modular switches in metabolic cross-feeding between microbial consortia in which fermentation is linked to sugar alcohols and amino sugars for the starch-rich diet and monosaccharides for the fiber-rich diet. In conclusion, diet may not only affect the composition of the cecal microbiota, but also dynamic interactions and metabolic cross-feeding.
Meléndez, María José; Báez, José Carlos; Serna-Quintero, José Miguel; Camiñas, Juan Antonio; Fernández, Ignacio de Loyola; Real, Raimundo; Macías, David
2017-01-01
Chondrichthyes, which include Elasmobranchii (sharks and batoids) and Holocephali (chimaeras), are a relatively small group in the Mediterranean Sea (89 species) playing a key role in the ecosystems where they are found. At present, many species of this group are threatened as a result of anthropogenic effects, including fishing activity. Knowledge of the spatial distribution of these species is of great importance to understand their ecological role and for the efficient management of their populations, particularly if affected by fisheries. This study aims to analyze the spatial patterns of the distribution of Chondrichthyes species richness in the Mediterranean Sea. Information provided by the studied countries was used to model geographical and ecological variables affecting the Chondrichthyes species richness. The species were distributed in 16 Operational Geographical Units (OGUs), derived from the Geographical Sub-Areas (GSA) adopted by the General Fisheries Commission of the Mediterranean Sea (GFCM). Regression analyses with the species richness as a target variable were adjusted with a set of environmental and geographical variables, being the model that links richness of Chondrichthyes species with distance to the Strait of Gibraltar and number of taxonomic families of bony fishes the one that best explains it. This suggests that both historical and ecological factors affect the current distribution of Chondrichthyes within the Mediterranean Sea.
NASA Astrophysics Data System (ADS)
Stevenson, Kevin; Bean, Jacob; Dragomir, Diana; Fabrycky, Daniel; Kreidberg, Laura; Mills, Sean; Petigura, Erik
2016-08-01
The provenance of planets 1.5 - 2 times the size of the Earth is one of the biggest unresolved mysteries from the Kepler mission. Determining the nature and origins of these exoplanets relies not only on measuring their radii, but also requires knowledge about their masses, atmospheric compositions, and interior structures. With this information, we can more confidently estimate planet mass distributions from measured radii, distinguish between rocky and non-rocky compositions, and better constrain the occurrence rate of Earth-like planets. Last year, Co-I Petigura announced the discovery of a two-transiting-planet system, K2-21, with bodies of 1.6 and 1.9 Earth-radii. The latter is expected to have a volatile-rich atmosphere, but the former lies squarely on the rocky/non-rocky composition boundary. These exoplanets orbit their relatively bright, nearby M dwarf parent star in a near 5:3 resonance and, based on our successful Spitzer observations, exhibit measurable transit timing variations (TTVs). Complete knowledge about their interactions will reveal constraints on the planets' masses, which is important because significant stellar activity makes RV mass measurements impractical. We propose to continue measuring precise transit times of K2-21b and K2-21c with Spitzer and combine that information with existing K2 timing constraints to determine their masses. Understanding the planets' masses is a critical, first step to ultimately determining their atmospheric compositions and internal structures. These planets will provide an excellent test to current statistical arguments that suggest there is a turning point in composition from rocky, true-to-name super-Earths to volatile-rich sub-Neptunes in the range of 1.5 - 2 Earth-radii.
Pimmer, Christoph; Mateescu, Magdalena; Zahn, Carmen; Genewein, Urs
2013-11-27
Despite the widespread use and advancements of mobile technology that facilitate rich communication modes, there is little evidence demonstrating the value of smartphones for effective interclinician communication and knowledge processes. The objective of this study was to determine the effects of different synchronous smartphone-based modes of communication, such as (1) speech only, (2) speech and images, and (3) speech, images, and image annotation (guided noticing) on the recall and transfer of visually and verbally represented medical knowledge. The experiment was conducted from November 2011 to May 2012 at the University Hospital Basel (Switzerland) with 42 medical students in a master's program. All participants analyzed a standardized case (a patient with a subcapital fracture of the fifth metacarpal bone) based on a radiological image, photographs of the hand, and textual descriptions, and were asked to consult a remote surgical specialist via a smartphone. Participants were randomly assigned to 3 experimental conditions/groups. In group 1, the specialist provided verbal explanations (speech only). In group 2, the specialist provided verbal explanations and displayed the radiological image and the photographs to the participants (speech and images). In group 3, the specialist provided verbal explanations, displayed the radiological image and the photographs, and annotated the radiological image by drawing structures/angle elements (speech, images, and image annotation). To assess knowledge recall, participants were asked to write brief summaries of the case (verbally represented knowledge) after the consultation and to re-analyze the diagnostic images (visually represented knowledge). To assess knowledge transfer, participants analyzed a similar case without specialist support. Data analysis by ANOVA found that participants in groups 2 and 3 (images used) evaluated the support provided by the specialist as significantly more positive than group 1, the speech-only group (group 1: mean 4.08, SD 0.90; group 2: mean 4.73, SD 0.59; group 3: mean 4.93, SD 0.25; F2,39=6.76, P=.003; partial η(2)=0.26, 1-β=.90). However, significant positive effects on the recall and transfer of visually represented medical knowledge were only observed when the smartphone-based communication involved the combination of speech, images, and image annotation (group 3). There were no significant positive effects on the recall and transfer of visually represented knowledge between group 1 (speech only) and group 2 (speech and images). No significant differences were observed between the groups regarding verbally represented medical knowledge. The results show (1) the value of annotation functions for digital and mobile technology for interclinician communication and medical informatics, and (2) the use of guided noticing (the integration of speech, images, and image annotation) leads to significantly improved knowledge gains for visually represented knowledge. This is particularly valuable in situations involving complex visual subject matters, typical in clinical practice.
Mateescu, Magdalena; Zahn, Carmen; Genewein, Urs
2013-01-01
Background Despite the widespread use and advancements of mobile technology that facilitate rich communication modes, there is little evidence demonstrating the value of smartphones for effective interclinician communication and knowledge processes. Objective The objective of this study was to determine the effects of different synchronous smartphone-based modes of communication, such as (1) speech only, (2) speech and images, and (3) speech, images, and image annotation (guided noticing) on the recall and transfer of visually and verbally represented medical knowledge. Methods The experiment was conducted from November 2011 to May 2012 at the University Hospital Basel (Switzerland) with 42 medical students in a master’s program. All participants analyzed a standardized case (a patient with a subcapital fracture of the fifth metacarpal bone) based on a radiological image, photographs of the hand, and textual descriptions, and were asked to consult a remote surgical specialist via a smartphone. Participants were randomly assigned to 3 experimental conditions/groups. In group 1, the specialist provided verbal explanations (speech only). In group 2, the specialist provided verbal explanations and displayed the radiological image and the photographs to the participants (speech and images). In group 3, the specialist provided verbal explanations, displayed the radiological image and the photographs, and annotated the radiological image by drawing structures/angle elements (speech, images, and image annotation). To assess knowledge recall, participants were asked to write brief summaries of the case (verbally represented knowledge) after the consultation and to re-analyze the diagnostic images (visually represented knowledge). To assess knowledge transfer, participants analyzed a similar case without specialist support. Results Data analysis by ANOVA found that participants in groups 2 and 3 (images used) evaluated the support provided by the specialist as significantly more positive than group 1, the speech-only group (group 1: mean 4.08, SD 0.90; group 2: mean 4.73, SD 0.59; group 3: mean 4.93, SD 0.25; F 2,39=6.76, P=.003; partial η2=0.26, 1–β=.90). However, significant positive effects on the recall and transfer of visually represented medical knowledge were only observed when the smartphone-based communication involved the combination of speech, images, and image annotation (group 3). There were no significant positive effects on the recall and transfer of visually represented knowledge between group 1 (speech only) and group 2 (speech and images). No significant differences were observed between the groups regarding verbally represented medical knowledge. Conclusions The results show (1) the value of annotation functions for digital and mobile technology for interclinician communication and medical informatics, and (2) the use of guided noticing (the integration of speech, images, and image annotation) leads to significantly improved knowledge gains for visually represented knowledge. This is particularly valuable in situations involving complex visual subject matters, typical in clinical practice. PMID:24284080
Mesoscale Eddies Are Oases for Higher Trophic Marine Life
Godø, Olav R.; Samuelsen, Annette; Macaulay, Gavin J.; Patel, Ruben; Hjøllo, Solfrid Sætre; Horne, John; Kaartvedt, Stein; Johannessen, Johnny A.
2012-01-01
Mesoscale eddies stimulate biological production in the ocean, but knowledge of energy transfers to higher trophic levels within eddies remains fragmented and not quantified. Increasing the knowledge base is constrained by the inability of traditional sampling methods to adequately sample biological processes at the spatio-temporal scales at which they occur. By combining satellite and acoustic observations over spatial scales of 10 s of km horizontally and 100 s of m vertically, supported by hydrographical and biological sampling we show that anticyclonic eddies shape distribution and density of marine life from the surface to bathyal depths. Fish feed along density structures of eddies, demonstrating that eddies catalyze energy transfer across trophic levels. Eddies create attractive pelagic habitats, analogous to oases in the desert, for higher trophic level aquatic organisms through enhanced 3-D motion that accumulates and redistributes biomass, contributing to overall bioproduction in the ocean. Integrating multidisciplinary observation methodologies promoted a new understanding of biophysical interaction in mesoscale eddies. Our findings emphasize the impact of eddies on the patchiness of biomass in the sea and demonstrate that they provide rich feeding habitat for higher trophic marine life. PMID:22272294
Spitsbergen, Jan M.; Kent, Michael L.
2007-01-01
The zebrafish (Danio rerio) is now the pre-eminent vertebrate model system for clarification of the roles of specific genes and signaling pathways in development. The zebrafish genome will be completely sequenced within the next 1–2 years. Together with the substantial historical database regarding basic developmental biology, toxicology, and gene transfer, the rich foundation of molecular genetic and genomic data makes zebrafish a powerful model system for clarifying mechanisms in toxicity. In contrast to the highly advanced knowledge base on molecular developmental genetics in zebrafish, our database regarding infectious and noninfectious diseases and pathologic lesions in zebrafish lags far behind the information available on most other domestic mammalian and avian species, particularly rodents. Currently, minimal data are available regarding spontaneous neoplasm rates or spontaneous aging lesions in any of the commonly used wild-type or mutant lines of zebrafish. Therefore, to fully utilize the potential of zebrafish as an animal model for understanding human development, disease, and toxicology we must greatly advance our knowledge on zebrafish diseases and pathology. PMID:12597434
How to include public health practice and practitioners in a European Network.
Brusaferro, Silvio; Tricarico, Pierfrancesco
2017-10-01
There is a wide range of different Public Health (PH) activities and programs running in Europe. Besides the richness of national traditions, differences exist in numbers of programs, methods adopted, types of engaged professionals, available resources (including public investments), awareness to the problem and finally in health indicators among and within countries. Promoting networks of PH practices and practitioners strengthens the possibility to share knowledge across organizational, sectorial and geographic boundaries, promotes adaptation and local implementation, fosters innovation in the form of knowledge creation by developing more efficient new services and by sharing effective practices within and between organizations and sectors. Nevertheless, strengthening existing networks and promoting new ones requires coordinated efforts based on complex adaptive systems and network science rules, along with the engagement of local, national and European health authorities. Given these premises, networking promotion and development is a promising way to improve health and wealth to European citizens and communities. © The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.
NASA Astrophysics Data System (ADS)
García, Isaías; Benavides, Carmen; Alaiz, Héctor; Alonso, Angel
2013-08-01
This paper describes research on the use of knowledge models (ontologies) for building computer-aided educational software in the field of control engineering. Ontologies are able to represent in the computer a very rich conceptual model of a given domain. This model can be used later for a number of purposes in different software applications. In this study, domain ontology about the field of lead-lag compensator design has been built and used for automatic exercise generation, graphical user interface population and interaction with the user at any level of detail, including explanations about why things occur. An application called Onto-CELE (ontology-based control engineering learning environment) uses the ontology for implementing a learning environment that can be used for self and lifelong learning purposes. The experience has shown that the use of knowledge models as the basis for educational software applications is capable of showing students the whole complexity of the analysis and design processes at any level of detail. A practical experience with postgraduate students has shown the mentioned benefits and possibilities of the approach.
Novak, Mark; Wootton, J. Timothy; Doak, Daniel F.; Emmerson, Mark; Estes, James A.; Tinker, M. Timothy
2011-01-01
How best to predict the effects of perturbations to ecological communities has been a long-standing goal for both applied and basic ecology. This quest has recently been revived by new empirical data, new analysis methods, and increased computing speed, with the promise that ecologically important insights may be obtainable from a limited knowledge of community interactions. We use empirically based and simulated networks of varying size and connectance to assess two limitations to predicting perturbation responses in multispecies communities: (1) the inaccuracy by which species interaction strengths are empirically quantified and (2) the indeterminacy of species responses due to indirect effects associated with network size and structure. We find that even modest levels of species richness and connectance (∼25 pairwise interactions) impose high requirements for interaction strength estimates because system indeterminacy rapidly overwhelms predictive insights. Nevertheless, even poorly estimated interaction strengths provide greater average predictive certainty than an approach that uses only the sign of each interaction. Our simulations provide guidance in dealing with the trade-offs involved in maximizing the utility of network approaches for predicting dynamics in multispecies communities.
Xiong, Wangdan; Fu, Jianyu; Köllner, Tobias G; Chen, Xinlu; Jia, Qidong; Guo, Haobo; Qian, Ping; Guo, Hong; Wu, Guojiang; Chen, Feng
2018-05-01
Microbial terpene synthase-like (MTPSL) genes are a type of terpene synthase genes only recently identified in plants. In contrast to typical plant terpene synthase genes, which are ubiquitous in land plants, MTPSL genes appear to occur only in nonseed plants. Our knowledge of catalytic functions of MTPSLs is very limited. Here we report biochemical characterization of the enzymes encoded by MTPSL genes from two closely related species of hornworts, Anthoceros punctatus and Anthoceros agrestis. Seven full-length MTPSL genes were identified in A. punctatus (ApMTPSL1-7) based on the analysis of its genome sequence. Using homology-based cloning, the apparent orthologs for six of the ApMTPSL genes, except ApMTPSL2, were cloned from A. agrestis. They were designated AaMTPSL1, 3-7. The coding sequences for each of the 13 Anthoceros MTPSL genes were cloned into a protein expression vector. Escherichia coli-expressed recombinant MTPSLs from hornworts were assayed for terpene synthase activities. Six ApMTPSLs and five AaMTPSLs, except for ApMTPSL5 and AaMTPSL5, showed catalytic activities with one or more isoprenyl diphosphate substrates. All functional MTPSLs exhibited sesquiterpene synthase activities. In contrast, only ApMTPSL7 and AaMTPSL7 showed monoterpene synthase activity and only ApMTPSL2, ApMTPSL6 and AaMTPSL6 showed diterpene synthase activity. Most MTPSLs from Anthoceros contain uncanonical aspartate-rich motif in the form of either 'DDxxxD' or 'DDxxx'. Homology-based structural modeling analysis of ApMTPSL1 and ApMTPSL7, which contain 'DDxxxD' and 'DDxxx' motif, respectively, showed that 'DDxxxD' and 'DDxxx' motifs are localized in the similar positions as the canonical 'DDxxD' motif in known terpene synthases. To further understand the role of individual aspartate residues in the motifs, ApMTPSL1 and ApMTPSL7 were selected as two representatives for site-directed mutagenesis studies. No activities were detected when any of the conserved aspartic acid was mutated into alanine. This study provides new information about the catalytic functions of MTPSLs and the functionality of their uncanonical aspartate-rich motifs, and builds a knowledge base for studying the biological importance of MTPSL genes and their terpene products in nonseed plants. Copyright © 2018 Elsevier Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
Alameddine, Ibrahim; Karmakar, Subhankar; Qian, Song S.; Paerl, Hans W.; Reckhow, Kenneth H.
2013-10-01
The total maximum daily load program aims to monitor more than 40,000 standard violations in around 20,000 impaired water bodies across the United States. Given resource limitations, future monitoring efforts have to be hedged against the uncertainties in the monitored system, while taking into account existing knowledge. In that respect, we have developed a hierarchical spatiotemporal Bayesian model that can be used to optimize an existing monitoring network by retaining stations that provide the maximum amount of information, while identifying locations that would benefit from the addition of new stations. The model assumes the water quality parameters are adequately described by a joint matrix normal distribution. The adopted approach allows for a reduction in redundancies, while emphasizing information richness rather than data richness. The developed approach incorporates the concept of entropy to account for the associated uncertainties. Three different entropy-based criteria are adopted: total system entropy, chlorophyll-a standard violation entropy, and dissolved oxygen standard violation entropy. A multiple attribute decision making framework is adopted to integrate the competing design criteria and to generate a single optimal design. The approach is implemented on the water quality monitoring system of the Neuse River Estuary in North Carolina, USA. The model results indicate that the high priority monitoring areas identified by the total system entropy and the dissolved oxygen violation entropy criteria are largely coincident. The monitoring design based on the chlorophyll-a standard violation entropy proved to be less informative, given the low probabilities of violating the water quality standard in the estuary.
Playing spades: The rich resources of African American young men
NASA Astrophysics Data System (ADS)
Schademan, Alfred R.
Research has shown that African American young men as a demographic group occupy the lowest levels of academic performance in both science and mathematics. In spite of this educational problem, little research has been conducted on the knowledge related to these disciplines that these young men learn and develop through everyday cultural practices. Such knowledge is needed in order to: (1) combat the deficit views that many teachers currently hold of African American young men, and (2) inform teachers interested in implementing pedagogies in their classrooms that draw upon the knowledge of African American young men. To add to our knowledge in this field, this study examines the resources that African American young men learn, use, and develop through a card game called Spades. Specifically, the study identifies and analyzes the models and model-based reasoning that the players use in order to win games. The study focuses upon modeling as it is central to both science and mathematics. To imbed player models and reasoning in context, the study employs a syncretic theoretical framework that examines how Spades has changed over time and how it is currently played in a high school setting. The qualitative study uses ethnographic methods combined with play-by-play analyses to reconstruct games and examine player strategies and reasoning that guide their decisions. The study found that the players operate from a number of different models while playing the game. Specifically, the players consider multiple variables and factors, as well as their mathematical relationships, to predict future occurrences and then play cards accordingly. Further, the players use a number of resources to win games including changing the game to maintain a competitive edge, counting cards, selectively memorizing cards played, assessing risk, bluffing, reading partners as well as opponents, reneging, estimating probabilities, and predicting outcomes. The player models and resources bear striking resemblance to what scientists and mathematicians do when modeling. Lastly, the study identifies eight features of Spades that make it a rich context for the learning and development of significant forms of reasoning. Most importantly, Spades is an empowering context through which the players both learn and display their resources and abilities in order to deal with complex situations. Consequently, the study provides evidence that many African American young men routinely employ types of reasoning in everyday practices that are robust and relevant to science and mathematics.
Characterizing fish responses to a river restoration over 21 years based on species' traits.
Höckendorff, Stefanie; Tonkin, Jonathan D; Haase, Peter; Bunzel-Drüke, Margret; Zimball, Olaf; Scharf, Matthias; Stoll, Stefan
2017-10-01
Understanding restoration effectiveness is often impaired by a lack of high-quality, long-term monitoring data and, to date, few researchers have used species' trait information to gain insight into the processes that drive the reaction of fish communities to restoration. We examined fish-community responses with a highly resolved data set from 21 consecutive years of electrofishing (4 years prerestoration and 17 years postrestoration) at multiple restored and unrestored reaches from a river restoration project on the Lippe River, Germany. Fish abundance peaked in the third year after the restoration; abundance was 6 times higher than before the restoration. After 5-7 years, species richness and abundance stabilized at 2 and 3.5 times higher levels relative to the prerestoration level, respectively. However, interannual variability of species richness and abundance remained considerable, illustrating the challenge of reliably assessing restoration outcomes based on data from individual samplings, especially in the first years following restoration. Life-history and reproduction-related traits best explained differences in species' responses to restoration. Opportunistic short-lived species with early female maturity and multiple spawning runs per year exhibited the strongest increase in abundance, which reflected their ability to rapidly colonize new habitats. These often small-bodied and fusiform fishes typically live in dynamic and ephemeral instream and floodplain areas that river-habitat restorations often aim to create, and in this case their increases in abundance indicated successful restoration. Our results suggest that a greater consideration of species' traits may enhance the causal understanding of community processes and the coupling of restoration to functional ecology. Trait-based assessments of restoration outcomes would furthermore allow for easier transfer of knowledge across biogeographic borders than studies based on taxonomy. © 2017 Society for Conservation Biology.
Developing the medicinal plants sector in northern India: challenges and opportunities
Kala, Chandra Prakash; Dhyani, Pitamber Prasad; Sajwan, Bikram Singh
2006-01-01
The medicinal properties of plant species have made an outstanding contribution in the origin and evolution of many traditional herbal therapies. These traditional knowledge systems have started to disappear with the passage of time due to scarcity of written documents and relatively low income in these traditions. Over the past few years, however, the medicinal plants have regained a wide recognition due to an escalating faith in herbal medicine in view of its lesser side effects compared to allopathic medicine in addition the necessity of meeting the requirements of medicine for an increasing human population. Through the realization of the continuous erosion of traditional knowledge of plants used for medicine in the past and the renewed interest at the present time, a need existed to review this valuable knowledge of medicinal plants with the purpose of developing medicinal plants sectors across the different states in India. Our major objectives therefore were to explore the potential in medicinal plants resources, to understand the challenges and opportunities with the medicinal plants sector, and also to suggest recommendations based upon the present state of knowledge for the establishment and smooth functioning of the medicinal plants sector along with improving the living standards of the underprivileged communities. The review reveals that northern India harbors a rich diversity of valuable medicinal plants, and attempts are being made at different levels for sustainable utilization of this resource in order to develop the medicinal plants sector.
Rethinking Social Barriers to Effective Adaptive Management
NASA Astrophysics Data System (ADS)
West, Simon; Schultz, Lisen; Bekessy, Sarah
2016-09-01
Adaptive management is an approach to environmental management based on learning-by-doing, where complexity, uncertainty, and incomplete knowledge are acknowledged and management actions are treated as experiments. However, while adaptive management has received significant uptake in theory, it remains elusively difficult to enact in practice. Proponents have blamed social barriers and have called for social science contributions. We address this gap by adopting a qualitative approach to explore the development of an ecological monitoring program within an adaptive management framework in a public land management organization in Australia. We ask what practices are used to enact the monitoring program and how do they shape learning? We elicit a rich narrative through extensive interviews with a key individual, and analyze the narrative using thematic analysis. We discuss our results in relation to the concept of `knowledge work' and Westley's 2002) framework for interpreting the strategies of adaptive managers—`managing through, in, out and up.' We find that enacting the program is conditioned by distinct and sometimes competing logics—scientific logics prioritizing experimentation and learning, public logics emphasizing accountability and legitimacy, and corporate logics demanding efficiency and effectiveness. In this context, implementing adaptive management entails practices of translation to negotiate tensions between objective and situated knowledge, external experts and organizational staff, and collegiate and hierarchical norms. Our contribution embraces the `doing' of learning-by-doing and marks a shift from conceptualizing the social as an external barrier to adaptive management to be removed to an approach that situates adaptive management as social knowledge practice.
Rethinking Social Barriers to Effective Adaptive Management.
West, Simon; Schultz, Lisen; Bekessy, Sarah
2016-09-01
Adaptive management is an approach to environmental management based on learning-by-doing, where complexity, uncertainty, and incomplete knowledge are acknowledged and management actions are treated as experiments. However, while adaptive management has received significant uptake in theory, it remains elusively difficult to enact in practice. Proponents have blamed social barriers and have called for social science contributions. We address this gap by adopting a qualitative approach to explore the development of an ecological monitoring program within an adaptive management framework in a public land management organization in Australia. We ask what practices are used to enact the monitoring program and how do they shape learning? We elicit a rich narrative through extensive interviews with a key individual, and analyze the narrative using thematic analysis. We discuss our results in relation to the concept of 'knowledge work' and Westley's (2002) framework for interpreting the strategies of adaptive managers-'managing through, in, out and up.' We find that enacting the program is conditioned by distinct and sometimes competing logics-scientific logics prioritizing experimentation and learning, public logics emphasizing accountability and legitimacy, and corporate logics demanding efficiency and effectiveness. In this context, implementing adaptive management entails practices of translation to negotiate tensions between objective and situated knowledge, external experts and organizational staff, and collegiate and hierarchical norms. Our contribution embraces the 'doing' of learning-by-doing and marks a shift from conceptualizing the social as an external barrier to adaptive management to be removed to an approach that situates adaptive management as social knowledge practice.
Science-based occupations and the science curriculum: Concepts of evidence
NASA Astrophysics Data System (ADS)
Aikenhead, Glen S.
2005-03-01
What science-related knowledge is actually used by nurses in their day-to-day clinical reasoning when attending patients? The study investigated the knowledge-in-use of six acute-care nurses in a hospital surgical unit. It was found that the nurses mainly drew upon their professional knowledge of nursing and upon their procedural understanding that included a common core of concepts of evidence (concepts implicitly applied to the evaluation of data and the evaluation of evidence - the focus of this research). This core included validity triangulation, normalcy range, accuracy, and a general predilection for direct sensual access to a phenomenon over indirect machine-managed access. A cluster of emotion-related concepts of evidence (e.g. cultural sensitivity) was also discovered. These results add to a compendium of concepts of evidence published in the literature. Only a small proportion of nurses (one of the six nurses in the study) used canonical science content in their clinical reasoning, a result consistent with other research. This study also confirms earlier research on employees in science-rich workplaces in general, and on professional development programs for nurses specifically: canonical science content found in a typical science curriculum (e.g. high school physics) does not appear relevant to many nurses' knowledge-in-use. These findings support a curriculum policy that gives emphasis to students learning how to learn science content as required by an authentic everyday or workplace context, and to students learning concepts of evidence.
Structured statistical models of inductive reasoning.
Kemp, Charles; Tenenbaum, Joshua B
2009-01-01
Everyday inductive inferences are often guided by rich background knowledge. Formal models of induction should aim to incorporate this knowledge and should explain how different kinds of knowledge lead to the distinctive patterns of reasoning found in different inductive contexts. This article presents a Bayesian framework that attempts to meet both goals and describes [corrected] 4 applications of the framework: a taxonomic model, a spatial model, a threshold model, and a causal model. Each model makes probabilistic inferences about the extensions of novel properties, but the priors for the 4 models are defined over different kinds of structures that capture different relationships between the categories in a domain. The framework therefore shows how statistical inference can operate over structured background knowledge, and the authors argue that this interaction between structure and statistics is critical for explaining the power and flexibility of human reasoning.
An, Gary
2015-01-01
Agent-based modeling has been used to characterize the nested control loops and non-linear dynamics associated with inflammatory and immune responses, particularly as a means of visualizing putative mechanistic hypotheses. This process is termed dynamic knowledge representation and serves a critical role in facilitating the ability to test and potentially falsify hypotheses in the current data- and hypothesis-rich biomedical research environment. Importantly, dynamic computational modeling aids in identifying useful abstractions, a fundamental scientific principle that pervades the physical sciences. Recognizing the critical scientific role of abstraction provides an intellectual and methodological counterweight to the tendency in biology to emphasize comprehensive description as the primary manifestation of biological knowledge. Transplant immunology represents yet another example of the challenge of identifying sufficient understanding of the inflammatory/immune response in order to develop and refine clinically effective interventions. Advances in immunosuppressive therapies have greatly improved solid organ transplant (SOT) outcomes, most notably by reducing and treating acute rejection. The end goal of these transplant immune strategies is to facilitate effective control of the balance between regulatory T cells and the effector/cytotoxic T-cell populations in order to generate, and ideally maintain, a tolerant phenotype. Characterizing the dynamics of immune cell populations and the interactive feedback loops that lead to graft rejection or tolerance is extremely challenging, but is necessary if rational modulation to induce transplant tolerance is to be accomplished. Herein is presented the solid organ agent-based model (SOTABM) as an initial example of an agent-based model (ABM) that abstractly reproduces the cellular and molecular components of the immune response to SOT. Despite its abstract nature, the SOTABM is able to qualitatively reproduce acute rejection and the suppression of acute rejection by immunosuppression to generate transplant tolerance. The SOTABM is intended as an initial example of how ABMs can be used to dynamically represent mechanistic knowledge concerning transplant immunology in a scalable and expandable form and can thus potentially serve as useful adjuncts to the investigation and development of control strategies to induce transplant tolerance. PMID:26594211
An, Gary
2015-01-01
Agent-based modeling has been used to characterize the nested control loops and non-linear dynamics associated with inflammatory and immune responses, particularly as a means of visualizing putative mechanistic hypotheses. This process is termed dynamic knowledge representation and serves a critical role in facilitating the ability to test and potentially falsify hypotheses in the current data- and hypothesis-rich biomedical research environment. Importantly, dynamic computational modeling aids in identifying useful abstractions, a fundamental scientific principle that pervades the physical sciences. Recognizing the critical scientific role of abstraction provides an intellectual and methodological counterweight to the tendency in biology to emphasize comprehensive description as the primary manifestation of biological knowledge. Transplant immunology represents yet another example of the challenge of identifying sufficient understanding of the inflammatory/immune response in order to develop and refine clinically effective interventions. Advances in immunosuppressive therapies have greatly improved solid organ transplant (SOT) outcomes, most notably by reducing and treating acute rejection. The end goal of these transplant immune strategies is to facilitate effective control of the balance between regulatory T cells and the effector/cytotoxic T-cell populations in order to generate, and ideally maintain, a tolerant phenotype. Characterizing the dynamics of immune cell populations and the interactive feedback loops that lead to graft rejection or tolerance is extremely challenging, but is necessary if rational modulation to induce transplant tolerance is to be accomplished. Herein is presented the solid organ agent-based model (SOTABM) as an initial example of an agent-based model (ABM) that abstractly reproduces the cellular and molecular components of the immune response to SOT. Despite its abstract nature, the SOTABM is able to qualitatively reproduce acute rejection and the suppression of acute rejection by immunosuppression to generate transplant tolerance. The SOTABM is intended as an initial example of how ABMs can be used to dynamically represent mechanistic knowledge concerning transplant immunology in a scalable and expandable form and can thus potentially serve as useful adjuncts to the investigation and development of control strategies to induce transplant tolerance.
Learning and consolidation of new spoken words in autism spectrum disorder.
Henderson, Lisa; Powell, Anna; Gareth Gaskell, M; Norbury, Courtenay
2014-11-01
Autism spectrum disorder (ASD) is characterized by rich heterogeneity in vocabulary knowledge and word knowledge that is not well accounted for by current cognitive theories. This study examines whether individual differences in vocabulary knowledge in ASD might be partly explained by a difficulty with consolidating newly learned spoken words and/or integrating them with existing knowledge. Nineteen boys with ASD and 19 typically developing (TD) boys matched on age and vocabulary knowledge showed similar improvements in recognition and recall of novel words (e.g. 'biscal') 24 hours after training, suggesting an intact ability to consolidate explicit knowledge of new spoken word forms. TD children showed competition effects for existing neighbors (e.g. 'biscuit') after 24 hours, suggesting that the new words had been integrated with existing knowledge over time. In contrast, children with ASD showed immediate competition effects that were not significant after 24 hours, suggesting a qualitative difference in the time course of lexical integration. These results are considered from the perspective of the dual-memory systems framework. © 2014 John Wiley & Sons Ltd.
Starrfelt, Jostein; Liow, Lee Hsiang
2016-01-01
The fossil record is a rich source of information about biological diversity in the past. However, the fossil record is not only incomplete but has also inherent biases due to geological, physical, chemical and biological factors. Our knowledge of past life is also biased because of differences in academic and amateur interests and sampling efforts. As a result, not all individuals or species that lived in the past are equally likely to be discovered at any point in time or space. To reconstruct temporal dynamics of diversity using the fossil record, biased sampling must be explicitly taken into account. Here, we introduce an approach that uses the variation in the number of times each species is observed in the fossil record to estimate both sampling bias and true richness. We term our technique TRiPS (True Richness estimated using a Poisson Sampling model) and explore its robustness to violation of its assumptions via simulations. We then venture to estimate sampling bias and absolute species richness of dinosaurs in the geological stages of the Mesozoic. Using TRiPS, we estimate that 1936 (1543–2468) species of dinosaurs roamed the Earth during the Mesozoic. We also present improved estimates of species richness trajectories of the three major dinosaur clades: the sauropodomorphs, ornithischians and theropods, casting doubt on the Jurassic–Cretaceous extinction event and demonstrating that all dinosaur groups are subject to considerable sampling bias throughout the Mesozoic. PMID:26977060
Starrfelt, Jostein; Liow, Lee Hsiang
2016-04-05
The fossil record is a rich source of information about biological diversity in the past. However, the fossil record is not only incomplete but has also inherent biases due to geological, physical, chemical and biological factors. Our knowledge of past life is also biased because of differences in academic and amateur interests and sampling efforts. As a result, not all individuals or species that lived in the past are equally likely to be discovered at any point in time or space. To reconstruct temporal dynamics of diversity using the fossil record, biased sampling must be explicitly taken into account. Here, we introduce an approach that uses the variation in the number of times each species is observed in the fossil record to estimate both sampling bias and true richness. We term our technique TRiPS (True Richness estimated using a Poisson Sampling model) and explore its robustness to violation of its assumptions via simulations. We then venture to estimate sampling bias and absolute species richness of dinosaurs in the geological stages of the Mesozoic. Using TRiPS, we estimate that 1936 (1543-2468) species of dinosaurs roamed the Earth during the Mesozoic. We also present improved estimates of species richness trajectories of the three major dinosaur clades: the sauropodomorphs, ornithischians and theropods, casting doubt on the Jurassic-Cretaceous extinction event and demonstrating that all dinosaur groups are subject to considerable sampling bias throughout the Mesozoic. © 2016 The Authors.
A Feedback Model for Data-Rich Learning Experiences
ERIC Educational Resources Information Center
Pardo, Abelardo
2018-01-01
Feedback has been identified as one of the factors with the largest potential for a positive impact in a learning experience. There is a significant body of knowledge studying feedback and providing guidelines for its implementation in learning environments. In parallel, the areas of learning analytics or educational data mining have emerged to…
Teacher and Student Reflections on ICT-Rich Science Inquiry
ERIC Educational Resources Information Center
Williams, P. John; Otrel-Cass, Kathrin
2017-01-01
Background: Inquiry learning in science provides authentic and relevant contexts in which students can create knowledge to solve problems, make decisions and find solutions to issues in today's world. The use of electronic networks can facilitate this interaction, dialogue and sharing, and adds a new dimension to classroom pedagogy. Purpose: This…
ERIC Educational Resources Information Center
Schueler-Meyer, Alexander
2016-01-01
Flexibility in transforming algebraic expressions is recognized as fundamental for a rich procedural knowledge. Here, flexibility in-depth is proposed as the ability to apply one strategy to a wide range of unfamiliar expressions. In this study, design experiments with four groups of students were conducted to support students' flexibility…
Evaluating Learning in the 21st Century: A Digital Age Learning Matrix
ERIC Educational Resources Information Center
Starkey, Louise
2011-01-01
If the purpose of secondary schooling is to educate the upcoming generation to become active participants in society, evaluation of teaching and learning in the information-rich digital age should be underpinned by relevant theories and models. This article describes an evaluation tool developed using emerging ideas about knowledge creation and…
An Overview of the Environmental Knowledge System for Elementary School Students
ERIC Educational Resources Information Center
Xuehua, Zhang
2004-01-01
Environmental education should set different objectives for different learning subjects. At the elementary school level, the primary goal is to establish environmental awareness so that students can perceptually appreciate and comprehend how rich and colorful the environment is. In this article, the author discusses a systematic approach that can…
Contextual Effect in People with Williams Syndrome
ERIC Educational Resources Information Center
Hsu, Ching-Fen; Tzeng, Ovid J.-L.
2011-01-01
This study was aimed at investigating the semantic integration ability of people with WS in building up a coherent and gist theme from the context of presented sentences. Previous studies have indicated rich lexical semantic knowledge and typical semantic priming in this clinical group, but atypical brainwave patterns have been reported in studies…
Utilization of Online Educational Resources in Teaching: A Moderated Mediation Perspective
ERIC Educational Resources Information Center
Kio, Su Iong; Lau, Meng Chan Virgina
2017-01-01
The study builds on a newly modified Technology Acceptance Model (TAM) to substantiate the motivation and operation of teachers' utilization of online learning resources. A "Comprehensiveness" construct is proposed in the modified TAM to reflect the breadth and depth of rich online knowledge. This new construct serves as the mediator…
Fostering Early Language with Infants and Toddlers
ERIC Educational Resources Information Center
Honig, Alice Sterling
2014-01-01
This articles describes the learning process of infants and toddlers and provides tips that parents and caregivers can use to promote the development of rich language skills, as well as an abiding passion for learning. From the earliest days, talking with babies encourages their knowledge of words. Singing and reading books increases their…
Probing Student Understanding of Scientific Thinking in the Context of Introductory Astrophysics
ERIC Educational Resources Information Center
Steinberg, Richard N.; Cormier, Sebastien; Fernandez, Adiel
2009-01-01
Common forms of testing of student understanding of science content can be misleading about their understanding of the nature of scientific thinking. Observational astronomy integrated with related ideas of force and motion is a rich context to explore the correlation between student content knowledge and student understanding of the scientific…
High School Students' Use of Meiosis When Solving Genetics Problems.
ERIC Educational Resources Information Center
Wynne, Cynthia F.; Stewart, Jim; Passmore, Cindy
2001-01-01
Paints a different picture of students' reasoning with meiosis as they solved complex, computer-generated genetics problems, some of which required them to revise their understanding of meiosis in response to anomalous data. Students were able to develop a rich understanding of meiosis and can utilize that knowledge to solve genetics problems.…
Research Note--Engaged Scholarship: A Signature Research Methodology for Social Work
ERIC Educational Resources Information Center
Delavega, Elena; Lennon-Dearing, Robin; Neely-Barnes, Susan; Soifer, Steve; Crawford, Cicely
2017-01-01
Social work has a rich tradition of engagement. Throughout its history, social work scholars have taken up questions that link knowledge production to its application in practice. Recently, other higher education fields have expressed interest in engagement. Yet, social work scholars have remained relatively silent about what they have to offer…
Summative and Formative Assessments in Mathematics Supporting the Goals of the Common Core Standards
ERIC Educational Resources Information Center
Schoenfeld, Alan H.
2015-01-01
Being proficient in mathematics involves having rich and connected mathematical knowledge, being a strategic and reflective thinker and problem solver, and having productive mathematical beliefs and dispositions. This broad set of mathematics goals is central to the Common Core State Standards for Mathematics. High-stakes testing often drives…
Foundations of Social Work Practice: A Graduate Text.
ERIC Educational Resources Information Center
Mattaini, Mark A., Ed.; Lowery, Christine T., Ed.; Meyer, Carol H., Ed.
As social work enters its second century, dynamic developments in practice and theory, the richness offered by multiple cultures and groups, and changing political and economic climates are potent forces driving advances in social work knowledge and practice. In the context of this professional evolution, this textbook wrestles with and builds on…
Quantifying early-seral forest composition with remote sensing
Rayma A. Cooley; Peter T. Wolter; Brian R. Sturtevant
2016-01-01
Spatially explicit modeling of recovering forest structure within two years following wildfire disturbance has not been attempted, yet such knowledge is critical for determining successional pathways. We used remote sensing and field data, along with digital climate and terrain data, to model and map early-seral aspen structure and vegetation species richness following...
The Future of Natural Selection Knowledge Measurement: A Reply to Anderson et al. (2010)
ERIC Educational Resources Information Center
Nehm, Ross H.; Schonfeld, Irvin Sam
2010-01-01
The development of rich, reliable, and robust measures of the composition, structure, and stability of student thinking about core scientific ideas (such as natural selection) remains a complex challenge facing science educators. In their recent article (Nehm & Schonfeld 2008), the authors explored the strengths, weaknesses, and insights provided…
Automatic Identification of Nutritious Contexts for Learning Vocabulary Words
ERIC Educational Resources Information Center
Mostow, Jack; Gates, Donna; Ellison, Ross; Goutam, Rahul
2015-01-01
Vocabulary knowledge is crucial to literacy development and academic success. Previous research has shown learning the meaning of a word requires encountering it in diverse informative contexts. In this work, we try to identify "nutritious" contexts for a word--contexts that help students build a rich mental representation of the word's…
ERIC Educational Resources Information Center
Zajicek-Farber, Michaela L.
2010-01-01
Children's emergent language develops in a rich context of varied influences afforded by their familial and social environments. Using data collected during a longitudinal prospective service project, this study examined the direct and indirect contributions of parenting knowledge and practices and maternal postnatal depression on emergent…
"Sàng Khôn" as a Theorizing Tool in Mobility Education
ERIC Educational Resources Information Center
Doan, Ngoc Ba
2017-01-01
The current virtual and physical mobility of humans, ideas, knowledge and epistemologies has major implications for education, especially in settings where English is seen as the default medium of instruction. While diversity is inherent in mobility, English-only pedagogy is a denial of the richness and potential of diverse resources learners…
ERIC Educational Resources Information Center
Monaghan, Padraic; Christiansen, Morten H.; Chater, Nick
2007-01-01
Several phonological and prosodic properties of words have been shown to relate to differences between grammatical categories. Distributional information about grammatical categories is also a rich source in the child's language environment. In this paper we hypothesise that such cues operate in tandem for developing the child's knowledge about…
Storage proteins of common bean identified with 2D-PAGE
USDA-ARS?s Scientific Manuscript database
The common bean is a significant source of protein, complex carbohydrates, fiber, and minerals. Seeds of most dry beans contain 15 to 25% protein and are rich in lysine but low in the sulfur containing amino acids cysteine and methionine. Knowledge of common bean proteins is important for research a...
ERIC Educational Resources Information Center
Walkington, Candace; Hayata, Carole A.
2017-01-01
Context personalization is an instructional design principle where tasks are presented to students in the context of their interest areas like sports, music, or video games. Personalization allows for understanding of domain principles to be grounded in concrete and familiar experiences. By making connections to prior knowledge, personalization…
A Framework and a Methodology for Developing Authentic Constructivist e-Learning Environments
ERIC Educational Resources Information Center
Zualkernan, Imran A.
2006-01-01
Semantically rich domains require operative knowledge to solve complex problems in real-world settings. These domains provide an ideal environment for developing authentic constructivist e-learning environments. In this paper we present a framework and a methodology for developing authentic learning environments for such domains. The framework is…
Agility in Business School Education through Richness and Reach: A Conceptual Model
ERIC Educational Resources Information Center
Gupta, Nakul; Bharadwaj, Sangeeta Shah
2013-01-01
Purpose: Pedagogy today has become a function of technology and this relationship becomes all the more promising when used to address the educational needs of the constantly changing and fast evolving business school education. Business schools today are responsible for empowering future managers and leaders with not only the knowledge and…
ERIC Educational Resources Information Center
Lachat, Mary Ann; Williams, Martha; Smith, Stephen C.
2006-01-01
Schools today are more data rich than ever, requiring staff members to develop their data literacy--that is, their knowledge of how to use assessment data with other types of data to identify areas of effectiveness and to target instructional improvement efforts. Administrators and teachers are expected to use combinations of data (diagnostic and…
Environmental heterogeneity predicts species richness of freshwater mollusks in sub-Saharan Africa
NASA Astrophysics Data System (ADS)
Hauffe, T.; Schultheiß, R.; Van Bocxlaer, B.; Prömmel, K.; Albrecht, C.
2016-09-01
Species diversity and how it is structured on a continental scale is influenced by stochastic, ecological, and evolutionary driving forces, but hypotheses on determining factors have been mainly examined for terrestrial and marine organisms. The extant diversity of African freshwater mollusks is in general well assessed to facilitate conservation strategies and because of the medical importance of several taxa as intermediate hosts for tropical parasites. This historical accumulation of knowledge has, however, not resulted in substantial macroecological studies on the spatial distribution of freshwater mollusks. Here, we use continental distribution data and a recently developed method of random and cohesive allocation of species distribution ranges to test the relative importance of various factors in shaping species richness of Bivalvia and Gastropoda. We show that the mid-domain effect, that is, a hump-shaped richness gradient in a geographically bounded system despite the absence of environmental gradients, plays a minor role in determining species richness of freshwater mollusks in sub-Saharan Africa. The western branch of the East African Rift System was included as dispersal barrier in richness models, but these simulation results did not fit observed diversity patterns significantly better than models where this effect was not included, which suggests that the rift has played a more complex role in generating diversity patterns. Present-day precipitation and temperature explain richness patterns better than Eemian climatic condition. Therefore, the availability of water and energy for primary productivity during the past does not influence current species richness patterns much, and observed diversity patterns appear to be in equilibrium with contemporary climate. The availability of surface waters was the best predictor of bivalve and gastropod richness. Our data indicate that habitat diversity causes the observed species-area relationship, and hence, that environmental heterogeneity is a principal driver of freshwater mollusk richness on a continental scale.
National red listing beyond the 2010 target.
Zamin, Tara J; Baillie, Jonathan E M; Miller, Rebecca M; Rodríguez, Jon Paul; Ardid, Ana; Collen, Ben
2010-08-01
Following creation of the 2010 Biodiversity Target under the Convention on Biological Diversity and adoption of the United Nations Millennium Development Goals, information on status and trends of biodiversity at the national level has become increasingly important to both science and policy. National red lists (NRLs) of threatened species may provide suitable data for reporting on progress toward these goals and for informing national conservation priority setting. This information will also become increasingly important for developing species- and ecosystem-based strategies for climate change adaptation. We conducted a thorough global review of NRLs in 109 countries and analyzed gaps in NRL coverage in terms of geography and taxonomy to determine priority regions and taxonomic groups for further investment. We then examined correlations between the NRL data set and gross domestic product (GDP) and vertebrate species richness. The largest geographic gap was in Oceania, followed by middle Africa, the Caribbean, and western Africa, whereas the largest taxonomic gaps were for invertebrates, fungi, and lichens. The comprehensiveness of NRL coverage within a given country was positively correlated with GDP and negatively correlated with total vertebrate richness and threatened vertebrate richness. This supports the assertion that regions with the greatest and most vulnerable biodiversity receive the least conservation attention and indicates that financial resources may be an integral limitation. To improve coverage of NRLs, we propose a combination of projects that target underrepresented taxa or regions and projects that provide the means for countries to create or update NRLs on their own. We recommend improvements in knowledge transfer within and across regions as a priority for future investment.
FoodWiki: Ontology-Driven Mobile Safe Food Consumption System.
Çelik, Duygu
2015-01-01
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being added to processed food, with numerous effects on the food: to add color, stabilize, texturize, preserve, sweeten, thicken, add flavor, soften, emulsify, and so forth. According to World Health Organization, governments have lately focused on legislation to reduce such ingredients or compounds in manufactured foods as they may have side effects causing health risks such as heart disease, cancer, diabetes, allergens, and obesity. By supervising what and how much to eat as well as what not to eat, we can maximize a patient's life quality through avoidance of unhealthy ingredients. Smart e-health systems with powerful knowledge bases can provide suggestions of appropriate foods to individuals. Next-generation smart knowledgebase systems will not only include traditional syntactic-based search, which limits the utility of the search results, but will also provide semantics for rich searching. In this paper, performance of concept matching of food ingredients is semantic-based, meaning that it runs its own semantic based rule set to infer meaningful results through the proposed Ontology-Driven Mobile Safe Food Consumption System (FoodWiki).
Bucek, Pavel; Jaumot, Joaquim; Aviñó, Anna; Eritja, Ramon; Gargallo, Raimundo
2009-11-23
Guanine-rich regions of DNA are sequences capable of forming G-quadruplex structures. The formation of a G-quadruplex structure in a region 140 base pairs (bp) upstream of the c-kit transcription initiation site was recently proposed (Fernando et al., Biochemistry, 2006, 45, 7854). In the present study, the acid-base equilibria and the thermally induced unfolding of the structures formed by a guanine-rich region and by its complementary cytosine-rich strand in c-kit were studied by means of circular dichroism and molecular absorption spectroscopies. In addition, competition between the Watson-Crick duplex and the isolated structures was studied as a function of pH value and temperature. Multivariate data analysis methods based on both hard and soft modeling were used to allow accurate quantification of the various acid-base species present in the mixtures. Results showed that the G-quadruplex and i-motif coexist with the Watson-Crick duplex over the pH range from 3.0 to 6.5, approximately, under the experimental conditions tested in this study. At pH 7.0, the duplex is practically the only species present.
The RICHE taxonomy - an innovative means of classification of child health research.
Alexander, D; Bourek, A; Kilroe, J; Rigby, M; Staines, A
2014-09-01
Research outputs increase inexorably. Health is now a required element in all policies of the European Union. There is a need for a system that helps to navigate the vast body of children's health research, identify pertinent research institutions, discover ongoing and recently funded research projects and identify gaps where there is little knowledge. The European Commission funded the Research Inventory of Child Health in Europe (RICHE) project through the Framework 7 Programme, to identify gaps in child health research in Europe. A necessary first step was to identify and index current research, for which a website repository was created. As a basis for this task, an innovative taxonomy was necessary to encompass the many arenas of children's health and development, including subjects outside the traditional areas of children's health. Drawing inspiration from existing taxonomies, library systems and other forms of classification, a multi-axial approach was selected as the best way to encompass the many influences on children's health. Six axes were identified and their contents defined. All of the axes can be viewed and searched independently, as well as in relation to each other. The axes encompass factors and service areas that impact on children, including health, education, justice, the environment and others. This has created a system that is consistent and impartial, but adaptable to an enormous variety of uses. The taxonomy has been tested and validated by a number of well-respected academics, researchers and practitioners across Europe. It forms the basis of an intuitive and accessible database. This allows research knowledge to be easily identified and for networking to take place. The RICHE taxonomy facilitates retrieval of knowledge - ongoing research as well as findings - in order to inform researchers and policy makers who wish to include children's health as an element of new policy. © 2013 John Wiley & Sons Ltd.
Kerkour, Abdelaziz; Marquevielle, Julien; Ivashchenko, Stefaniia; Yatsunyk, Liliya A; Mergny, Jean-Louis; Salgado, Gilmar F
2017-05-12
Non-canonical base pairing within guanine-rich DNA and RNA sequences can produce G-quartets, whose stacking leads to the formation of a G-quadruplex (G4). G4s can coexist with canonical duplex DNA in the human genome and have been suggested to suppress gene transcription, and much attention has therefore focused on studying G4s in promotor regions of disease-related genes. For example, the human KRAS proto-oncogene contains a nuclease-hypersensitive element located upstream of the major transcription start site. The KRAS nuclease-hypersensitive element (NHE) region contains a G-rich element (22RT; 5'-AGGGCGGTGTGGGAATAGGGAA-3') and encompasses a Myc-associated zinc finger-binding site that regulates KRAS transcription. The NEH region therefore has been proposed as a target for new drugs that control KRAS transcription, which requires detailed knowledge of the NHE structure. In this study, we report a high-resolution NMR structure of the G-rich element within the KRAS NHE. We found that the G-rich element forms a parallel structure with three G-quartets connected by a four-nucleotide loop and two short one-nucleotide double-chain reversal loops. In addition, a thymine bulge is found between G8 and G9. The loops of different lengths and the presence of a bulge between the G-quartets are structural elements that potentially can be targeted by small chemical ligands that would further stabilize the structure and interfere or block transcriptional regulators such as Myc-associated zinc finger from accessing their binding sites on the KRAS promoter. In conclusion, our work suggests a possible new route for the development of anticancer agents that could suppress KRAS expression. © 2017 by The American Society for Biochemistry and Molecular Biology, Inc.
Teaching science through literature
NASA Astrophysics Data System (ADS)
Barth, Daniel
2007-12-01
The hypothesis of this study was that a multidisciplinary, activity rich science curriculum based around science fiction literature, rather than a conventional text book would increase student engagement with the curriculum and improve student performance on standards-based test instruments. Science fiction literature was chosen upon the basis of previous educational research which indicated that science fiction literature was able to stimulate and maintain interest in science. The study was conducted on a middle school campus during the regular summer school session. Students were self-selected from the school's 6 th, 7th, and 8th grade populations. The students used the science fiction novel Maurice on the Moon as their only text. Lessons and activities closely followed the adventures of the characters in the book. The student's initial level of knowledge in Earth and space science was assessed by a pre test. After the four week program was concluded, the students took a post test made up of an identical set of questions. The test included 40 standards-based questions that were based upon concepts covered in the text of the novel and in the classroom lessons and activities. The test also included 10 general knowledge questions that were based upon Earth and space science standards that were not covered in the novel or the classroom lessons or activities. Student performance on the standards-based question set increased an average of 35% for all students in the study group. Every subgroup disaggregated by gender and ethnicity improved from 28-47%. There was no statistically significant change in the performance on the general knowledge question set for any subgroup. Student engagement with the material was assessed by three independent methods, including student self-reports, percentage of classroom work completed, and academic evaluation of student work by the instructor. These assessments of student engagement were correlated with changes in student performance on the standards-based assessment tests. A moderate correlation was found to exist between the level of student engagement with the material and improvement in performance from pre to post test.
Knowledge Discovery from Climate Data using Graph-Based Methods
NASA Astrophysics Data System (ADS)
Steinhaeuser, K.
2012-04-01
Climate and Earth sciences have recently experienced a rapid transformation from a historically data-poor to a data-rich environment, thus bringing them into the realm of the Fourth Paradigm of scientific discovery - a term coined by the late Jim Gray (Hey et al. 2009), the other three being theory, experimentation and computer simulation. In particular, climate-related observations from remote sensors on satellites and weather radars, in situ sensors and sensor networks, as well as outputs of climate or Earth system models from large-scale simulations, provide terabytes of spatio-temporal data. These massive and information-rich datasets offer a significant opportunity for advancing climate science and our understanding of the global climate system, yet current analysis techniques are not able to fully realize their potential benefits. We describe a class of computational approaches, specifically from the data mining and machine learning domains, which may be novel to the climate science domain and can assist in the analysis process. Computer scientists have developed spatial and spatio-temporal analysis techniques for a number of years now, and many of them may be applicable and/or adaptable to problems in climate science. We describe a large-scale, NSF-funded project aimed at addressing climate science question using computational analysis methods; team members include computer scientists, statisticians, and climate scientists from various backgrounds. One of the major thrusts is in the development of graph-based methods, and several illustrative examples of recent work in this area will be presented.
Stevens, Carly J; Payne, Richard J; Kimberley, Adam; Smart, Simon M
2016-01-01
Nitrogen deposition is known to have major impacts on contemporary ecosystems but few studies have addressed how these impacts will develop over coming decades. We consider likely changes to British semi-natural vegetation up to the year 2030 both qualitatively, based on knowledge of species responses from experimental and gradient studies, and quantitatively, based on modelling of species relationships in national monitoring data. We used historical N deposition trends and national predictions of changing deposition to calculate cumulative deposition from 1900 to 2030. Data from the Countryside Survey (1978, 1990 and 1998) was used to parameterise models relating cumulative N deposition to Ellenberg N which were then applied to expected future deposition trends. Changes to habitat suitability for key species of grassland, heathland and bog, and broadleaved woodland to 2030 were predicted using the MultiMOVE model. In UK woodlands by 2030 there is likely to be reduced occurrence of lichens, increased grass cover and a shift towards more nitrophilic vascular plant species. In grasslands we expect changing species composition with reduced occurrence of terricolous lichens and, at least in acid grasslands, reduced species richness. In heaths and bogs we project overall reductions in species richness with decreased occurrence of terricolous lichens and some bryophytes, reduced cover of dwarf shrubs and small increases in grasses. Our study clearly suggests that changes in vegetation due to nitrogen deposition are likely to continue through coming decades. Copyright © 2015 Elsevier Ltd. All rights reserved.
Using change-point models to estimate empirical critical loads for nitrogen in mountain ecosystems.
Roth, Tobias; Kohli, Lukas; Rihm, Beat; Meier, Reto; Achermann, Beat
2017-01-01
To protect ecosystems and their services, the critical load concept has been implemented under the framework of the Convention on Long-range Transboundary Air Pollution (UNECE) to develop effects-oriented air pollution abatement strategies. Critical loads are thresholds below which damaging effects on sensitive habitats do not occur according to current knowledge. Here we use change-point models applied in a Bayesian context to overcome some of the difficulties when estimating empirical critical loads for nitrogen (N) from empirical data. We tested the method using simulated data with varying sample sizes, varying effects of confounding variables, and with varying negative effects of N deposition on species richness. The method was applied to the national-scale plant species richness data from mountain hay meadows and (sub)alpine scrubs sites in Switzerland. Seven confounding factors (elevation, inclination, precipitation, calcareous content, aspect as well as indicator values for humidity and light) were selected based on earlier studies examining numerous environmental factors to explain Swiss vascular plant diversity. The estimated critical load confirmed the existing empirical critical load of 5-15 kg N ha -1 yr -1 for (sub)alpine scrubs, while for mountain hay meadows the estimated critical load was at the lower end of the current empirical critical load range. Based on these results, we suggest to narrow down the critical load range for mountain hay meadows to 10-15 kg N ha -1 yr -1 . Copyright © 2016 Elsevier Ltd. All rights reserved.
Transforming RN education: clinical learning and clinical knowledge development.
Benner, P
1993-04-01
Transforming RN education has the potential for transforming clinical teaching and learning for all students. The returning RN student offers possibilities for clinical learning that the generic student does not have, but this should not cause us to limit the returning RN student to the generic level. Where possible innovative programs should be developed to move the RN student from baccalaureate level to the Master's level. As educators, we should take the opportunity to increase the numbers of nurses who are educationally prepared to move into advanced levels of practice. The returning RN student offers a rich human resource for the profession, and a rich resource for improving our clinical teaching as well as our practice.
Rich Language Analysis for Counterterrorism
NASA Astrophysics Data System (ADS)
Guidère, Mathieu; Howard, Newton; Argamon, Shlomo
Accurate and relevant intelligence is critical for effective counterterrorism. Too much irrelevant information is as bad or worse than not enough information. Modern computational tools promise to provide better search and summarization capabilities to help analysts filter and select relevant and key information. However, to do this task effectively, such tools must have access to levels of meaning beyond the literal. Terrorists operating in context-rich cultures like fundamentalist Islam use messages with multiple levels of interpretation, which are easily misunderstood by non-insiders. This chapter discusses several kinds of such “encryption” used by terrorists and insurgents in the Arabic language, and how knowledge of such methods can be used to enhance computational text analysis techniques for use in counterterrorism.
Xu, Yu
2007-01-01
Nurses from Asian countries make up the majority of immigrant nurses globally. Although there are a limited number of studies on the lived experiences of Asian nurses working in Western countries, the development of nursing science will be impeded if the rich understanding gleaned from these studies is not synthesized. Using Noblit and Hare's (Meta-ethnography: Synthesizing Qualitative Studies. Newbury Park, Calif: Sage; 1988) procedures, a metasynthesis was conducted on 14 studies that met preset selection criteria. Four overarching themes emerged: (a) communication as a daunting challenge; (b) differences in nursing practice; (c) marginalization, discrimination, and exploitation; and (d) cultural differences. Based on the metasynthesis, a large narrative and expanded interpretation was constructed and implications for nursing knowledge development, clinical practice, and policy making are elaborated.
Challenges for future space power systems
NASA Technical Reports Server (NTRS)
Brandhorst, Henry W., Jr.
1989-01-01
The future appears rich in missions that will extend the frontiers of knowledge, human presence in space, and opportunities for profitable commerce. The key to success of these ventures is the availability of plentiful, cost effective electric power and assured, low cost access to space. While forecasts of space power needs are problematic, an assessment of future needs based on terrestrial experience was made. These needs fall into three broad categories-survival, self sufficiency and industrialization. The cost of delivering payloads to orbital locations from low earth orbit (LEO) to Mars was determined and future launch cost reductions projected. From these factors, then, projections of the performance necessary for future solar and nuclear space power options were made. These goals are largely dependent upon orbital location and energy storage needs.
Text Mining of UU-ITE Implementation in Indonesia
NASA Astrophysics Data System (ADS)
Hakim, Lukmanul; Kusumasari, Tien F.; Lubis, Muharman
2018-04-01
At present, social media and networks act as one of the main platforms for sharing information, idea, thought and opinions. Many people share their knowledge and express their views on the specific topics or current hot issues that interest them. The social media texts have rich information about the complaints, comments, recommendation and suggestion as the automatic reaction or respond to government initiative or policy in order to overcome certain issues.This study examines the sentiment from netizensas part of citizen who has vocal sound about the implementation of UU ITE as the first cyberlaw in Indonesia as a means to identify the current tendency of citizen perception. To perform text mining techniques, this study used Twitter Rest API while R programming was utilized for the purpose of classification analysis based on hierarchical cluster.
Modeling Guru: Knowledge Base for NASA Modelers
NASA Astrophysics Data System (ADS)
Seablom, M. S.; Wojcik, G. S.; van Aartsen, B. H.
2009-05-01
Modeling Guru is an on-line knowledge-sharing resource for anyone involved with or interested in NASA's scientific models or High End Computing (HEC) systems. Developed and maintained by the NASA's Software Integration and Visualization Office (SIVO) and the NASA Center for Computational Sciences (NCCS), Modeling Guru's combined forums and knowledge base for research and collaboration is becoming a repository for the accumulated expertise of NASA's scientific modeling and HEC communities. All NASA modelers and associates are encouraged to participate and provide knowledge about the models and systems so that other users may benefit from their experience. Modeling Guru is divided into a hierarchy of communities, each with its own set forums and knowledge base documents. Current modeling communities include those for space science, land and atmospheric dynamics, atmospheric chemistry, and oceanography. In addition, there are communities focused on NCCS systems, HEC tools and libraries, and programming and scripting languages. Anyone may view most of the content on Modeling Guru (available at http://modelingguru.nasa.gov/), but you must log in to post messages and subscribe to community postings. The site offers a full range of "Web 2.0" features, including discussion forums, "wiki" document generation, document uploading, RSS feeds, search tools, blogs, email notification, and "breadcrumb" links. A discussion (a.k.a. forum "thread") is used to post comments, solicit feedback, or ask questions. If marked as a question, SIVO will monitor the thread, and normally respond within a day. Discussions can include embedded images, tables, and formatting through the use of the Rich Text Editor. Also, the user can add "Tags" to their thread to facilitate later searches. The "knowledge base" is comprised of documents that are used to capture and share expertise with others. The default "wiki" document lets users edit within the browser so others can easily collaborate on the same document, even allowing the author to select those who may edit and approve the document. To maintain knowledge integrity, all documents are moderated before they are visible to the public. Modeling Guru, running on Clearspace by Jive Software, has been an active resource to the NASA modeling and HEC communities for more than a year and currently has more than 100 active users. SIVO will soon install live instant messaging support, as well as a user-customizable homepage with social-networking features. In addition, SIVO plans to implement a large dataset/file storage capability so that users can quickly and easily exchange datasets and files with one another. Continued active community participation combined with periodic software updates and improved features will ensure that Modeling Guru remains a vibrant, effective, easy-to-use tool for the NASA scientific community.
Regional and local species richness in an insular environment: Serpentine plants in California
Harrison, S.; Safford, H.D.; Grace, J.B.; Viers, J.H.; Davies, K.F.
2006-01-01
We asked how the richness of the specialized (endemic) flora of serpentine rock outcrops in California varies at both the regional and local scales. Our study had two goals: first, to test whether endemic richness is affected by spatial habitat structure (e.g., regional serpentine area, local serpentine outcrop area, regional and local measures of outcrop isolation), and second, to conduct this test in the context of a broader assessment of environmental influences (e.g., climate, soils, vegetation, disturbance) and historical influences (e.g., geologic age, geographic province) on local and regional species richness. We measured endemic and total richness and environmental variables in 109 serpentine sites (1000-m2 paired plots) in 78 serpentine-containing regions of the state. We used structural equation modeling (SEM) to simultaneously relate regional richness to regionalscale predictors, and local richness to both local-scale and regional-scale predictors. Our model for serpentine endemics explained 66% of the variation in local endemic richness based on local environment (vegetation, soils, rock cover) and on regional endemic richness. It explained 73% of the variation in regional endemic richness based on regional environment (climate and productivity), historical factors (geologic age and geographic province), and spatial structure (regional total area of serpentine, the only significant spatial variable in our analysis). We did not find a strong influence of spatial structure on species richness. However, we were able to distinguish local vs. regional influences on species richness to a novel extent, despite the existence of correlations between local and regional conditions. ?? 2006 by the Ecological Society of America.
The unusual suspect: Land use is a key predictor of biodiversity patterns in the Iberian Peninsula
NASA Astrophysics Data System (ADS)
Martins, Inês Santos; Proença, Vânia; Pereira, Henrique Miguel
2014-11-01
Although land use change is a key driver of biodiversity change, related variables such as habitat area and habitat heterogeneity are seldom considered in modeling approaches at larger extents. To address this knowledge gap we tested the contribution of land use related variables to models describing richness patterns of amphibians, reptiles and passerines in the Iberian Peninsula. We analyzed the relationship between species richness and habitat heterogeneity at two spatial resolutions (i.e., 10 km × 10 km and 50 km × 50 km). Using both ordinary least square and simultaneous autoregressive models, we assessed the relative importance of land use variables, climate variables and topographic variables. We also compare the species-area relationship with a multi-habitat model, the countryside species-area relationship, to assess the role of the area of different types of habitats on species diversity across scales. The association between habitat heterogeneity and species richness varied with the taxa and spatial resolution. A positive relationship was detected for all taxa at a grain size of 10 km × 10 km, but only passerines responded at a grain size of 50 km × 50 km. Species richness patterns were well described by abiotic predictors, but habitat predictors also explained a considerable portion of the variation. Moreover, species richness patterns were better described by a multi-habitat species-area model, incorporating land use variables, than by the classic power model, which only includes area as the single explanatory variable. Our results suggest that the role of land use in shaping species richness patterns goes beyond the local scale and persists at larger spatial scales. These findings call for the need of integrating land use variables in models designed to assess species richness response to large scale environmental changes.
Short-Term Summer Inundation as a Measure to Counteract Acidification in Rich Fens
Mettrop, Ivan S.; Cusell, Casper; Kooijman, Annemieke M.; Lamers, Leon P. M.
2015-01-01
In regions with intensive agriculture, water level fluctuation in wetlands has generally become constricted within narrow limits. Water authorities are, however, considering the re-establishment of fluctuating water levels as a management tool in biodiverse, base-rich fens (‘rich fens’). This includes temporary inundation with surface water from ditches, which may play an important role in counteracting acidification in order to conserve and restore biodiversity. Inundation may result in an increased acid neutralizing capacity (ANC) for two reasons: infiltration of base-rich inundation water into peat soils, and microbial alkalinity generation under anaerobic conditions. The main objectives of this study were to test whether short-term (2 weeks) summer inundation is more effective than short-term winter inundation to restore the ANC in the upper 10 cm of non-floating peat soils, and to explain potential differences. Large-scale field experiments were conducted for five years in base-rich fens and Sphagnum-dominated poor fens. Winter inundation did not result in increased porewater ANC, because infiltration was inhibited in the waterlogged peat and evapotranspiration rates were relatively low. Also, low temperatures limit microbial alkalinity generation. In summer, however, when temperature and evapotranspiration rates are higher, inundation resulted in increased porewater Ca and HCO3 - concentrations, but only in areas with characteristic rich fen bryophytes. This increase was not only due to stronger infiltration into the soil, but also to higher microbial alkalinity generation under anaerobic conditions. In contrast, porewater ANC did not increase in Sphagnum-plots as a result of the ability of Sphagnum spp. to acidify their environment. In both rich and poor fens, flooding-induced P-mobilization remained sufficiently low to safeguard P-limited vegetation. NO3 - and NH4 + dynamics showed no considerable changes either. In conclusion, short-term summer inundation with base-rich and nutrient-poor surface water is considered beneficial in the management of non-floating rich fens, and much more effective than winter inundation. PMID:26637121
The effect of multiple internal representations on context-rich instruction
NASA Astrophysics Data System (ADS)
Lasry, Nathaniel; Aulls, Mark W.
2007-11-01
We discuss n-coding, a theoretical model of multiple internal mental representations. The n-coding construct is developed from a review of cognitive and imaging data that demonstrates the independence of information processed along different modalities such as verbal, visual, kinesthetic, logico-mathematic, and social modalities. A study testing the effectiveness of the n-coding construct in classrooms is presented. Four sections differing in the level of n-coding opportunities were compared. Besides a traditional-instruction section used as a control group, each of the remaining three sections were given context-rich problems, which differed by the level of n-coding opportunities designed into their laboratory environment. To measure the effectiveness of the construct, problem-solving skills were assessed as conceptual learning using the force concept inventory. We also developed several new measures that take students' confidence in concepts into account. Our results show that the n-coding construct is useful in designing context-rich environments and can be used to increase learning gains in problem solving, conceptual knowledge, and concept confidence. Specifically, when using props in designing context-rich problems, we find n-coding to be a useful construct in guiding which additional dimensions need to be attended to.
Refernce Conditions for Streams in the Grand Prairie Natural Division of Illinois
NASA Astrophysics Data System (ADS)
Sangunett, B.; Dewalt, R.
2005-05-01
As part of the Critical Trends Assessment Program (CTAP) of the Illinois Department of Natural Resources (IDNR), 12 potential reference quality stream sites in the Grand Prairie Natural Division were evaluated in May 2004. This agriculturally dominated region, located in east central Illinois, is the most highly modified in the state. The quality of these sites was assessed using a modified Hilsenhoff Biotic Index and species richness of Ephemeroptera, Plecoptera, and Trichoptera (EPT) insect orders and a 12 parameter Habitat Quality Index (HQI). Illinois EPA high quality fish stations, Illinois Natural History Survey insect collection data, and best professional knowledge were used to choose which streams to evaluate. For analysis, reference quality streams were compared to 37 randomly selected meandering streams and 26 randomly selected channelized streams which were assessed by CTAP between 1997 and 2001. The results showed that the reference streams exceeded both taxa richness and habitat quality of randomly selected streams in the region. Both random meandering sites and reference quality sites increased in taxa richness and HQI as stream width increased. Randomly selected channelized streams had about the same taxa richness and HQI regardless of width.
Salerno, Rosina; Salvatella, Roberto; Issa, Julie; Anzola, Maria Carolina
2015-01-01
To identify the intangible elements that characterize the successful effort to fight Chagas disease in the Americas, determine how they contributed to the overall success of the partnership, and learn lessons from the experience that could be applied to other programs. This study was based on the Partnership Assessment Tool (PAT) developed by the Nuffield Institute for Health ("the Institute") at the University of Leeds (London). The PAT draws heavily on scientific literature and the extensive experience of sociologists and health experts working for the Institute. The Pan American Health Organization (PAHO) modified the tool slightly to adapt it to its needs and provide a general structure for the study. The six key principles of the PAT framework were applied in the design of the research questionnaires. The findings show that a successful collaboration requires a clear objective; a good-quality pool of data; and comprehensive qualitative and quantitative knowledge of the problem, its dimensions, and its impact. The collaboration was elaborated from a common idea and a shared, quantified plan based on data gathered by independent scientists plus a strategy with explicit milestones. The clarity of purpose allowed for an improved synergy of efforts and made it possible to resolve differences in opinions and approaches. PAHO's experience with effective collaborations such as the joint initiative to fight Chagas disease provides a rich knowledge base for analysis of the advantages, limitations, and paradigms of community involvement, collaborative practices, and partnerships.
Zhang, Xiao-Bo; Qu, Xian-You; Li, Meng; Wang, Hui; Jing, Zhi-Xian; Liu, Xiang; Zhang, Zhi-Wei; Guo, Lan-Ping; Huang, Lu-Qi
2017-11-01
After the end of the national and local medicine resources census work, a large number of Chinese medicine resources and distribution of data will be summarized. The species richness between the regions is a valid indicator for objective reflection of inter-regional resources of Chinese medicine. Due to the large difference in the size of the county area, the assessment of the intercropping of the resources of the traditional Chinese medicine by the county as a statistical unit will lead to the deviation of the regional abundance statistics. Based on the rule grid or grid statistical methods, the size of the statistical unit due to different can be reduced, the differences in the richness of traditional Chinese medicine resources are caused. Taking Chongqing as an example, based on the existing survey data, the difference of richness of traditional Chinese medicine resources under different grid scale were compared and analyzed. The results showed that the 30 km grid could be selected and the richness of Chinese medicine resources in Chongqing could reflect the objective situation of intercropping resources richness in traditional Chinese medicine better. Copyright© by the Chinese Pharmaceutical Association.
Maleki, Tahereh; Akhani, Hossein
2018-05-10
From ancient times, the applied use of herbs has been common among indigenous people throughout the world. The present survey is a regional ethnobotanical study of Baluchi tribes living in the Mt. Taftan area, Sistan and Baluchistan Province, southeastern Iran. The aim of this study was to document all traditional knowledge and analyze the medicinal plants used in area and also to identify significant plant species for future pharmacological study. Local knowledge was obtained through semi structured and open interviews, in which 51 informants were interviewed. Data were analyzed with Informant Agreement Relative (IAR) and Frequency of Citation (FC) indices. A total number of 106 taxa of medicinal plants were collected from ten villages from the surrounding plains and highlands of Mt. Taftan, out of 446 plant taxa collected or reported as native in the area. Most plants belong to the Irano-Turanian phytogeographical region in which Asteraceae (15%), Lamiaceae (11%), Fabaceae (8%), Rosaceae (7%), Apiaceae (7%) and Brassicaceae (5%) are those predominantly used. The regression analysis shows that families Apiaceae, Lamiaceae, Solanaceae and Rosaceae are more highly used as medicinal than species rich families such as Asteraceae and Fabaceae, which are the richest families in the Iranian flora. The highest FC was recorded for Artemisia spp. (41) and Berberis integerrima (40). The highest IAR Index was obtained for stings (0.86), followed by disorders in the circulatory system (0.7), dental problems (0.70) and injuries (0.69). Comparing our data with major ethnobotanical references in Iran revealed that medicinal applications of 34 taxa have not been cited, including Hyoscyamus malekianus, a local endemic plant using for ailments of toothache and worms. The toxicity of the endemic Semenovia suffruticosa is also reported. As a result of this study we conclude that Taftan area harbours many plant species for which indigenous knowledge provides a background of medicinal importance. The high percentage of medicinal plants proportional to the native flora is 23.8%, compared to the world percentage of 17.1%, is an indication of the rich knowledge and relationship of isolated Baluchi tribes living in Mt. Taftan to the local flora growing in their surroundings. This rich knowledge should be highly regarded as a cultural and ethnobotanical heritage. Furthermore, ethnobotanical results show some weak interrelation between Baluchi tribes living in Iran and Pakistan, probably because of a different flora and/or unfavourable environmental conditions and perhaps local conflicts which might have reduced active cultural exchange. Copyright © 2018 Elsevier B.V. All rights reserved.
Serna-Quintero, José Miguel; Camiñas, Juan Antonio; Fernández, Ignacio de Loyola; Real, Raimundo; Macías, David
2017-01-01
Chondrichthyes, which include Elasmobranchii (sharks and batoids) and Holocephali (chimaeras), are a relatively small group in the Mediterranean Sea (89 species) playing a key role in the ecosystems where they are found. At present, many species of this group are threatened as a result of anthropogenic effects, including fishing activity. Knowledge of the spatial distribution of these species is of great importance to understand their ecological role and for the efficient management of their populations, particularly if affected by fisheries. This study aims to analyze the spatial patterns of the distribution of Chondrichthyes species richness in the Mediterranean Sea. Information provided by the studied countries was used to model geographical and ecological variables affecting the Chondrichthyes species richness. The species were distributed in 16 Operational Geographical Units (OGUs), derived from the Geographical Sub-Areas (GSA) adopted by the General Fisheries Commission of the Mediterranean Sea (GFCM). Regression analyses with the species richness as a target variable were adjusted with a set of environmental and geographical variables, being the model that links richness of Chondrichthyes species with distance to the Strait of Gibraltar and number of taxonomic families of bony fishes the one that best explains it. This suggests that both historical and ecological factors affect the current distribution of Chondrichthyes within the Mediterranean Sea. PMID:28406963
Making an IMPACT: effect of a school-based pilot intervention.
Muth, Natalie Digate; Chatterjee, Avik; Williams, Donna; Cross, Alan; Flower, Kori
2008-01-01
Poor nutrition and inactivity are widespread and contribute to the epidemic problem of childhood obesity. This study examined the effectiveness of a school-based pilot program to improve nutrition and activity in elementary (ES) and high school (HS) students. The Improving Meals and Physical Activity in Children and Teens (IMPACT) school-based curriculum used a train-the-trainer model to improve activity and nutrition. Nine students were recruited from one rural North Carolina high school and trained in the IMPACT curriculum and leadership skills. Four 4th grade classes at a neighboring elementary school were randomized to receive the IMPACT curriculum delivered by the HS students over 12 weeks (two classrooms, 38 students) versus the standard curriculum (two classrooms, 37 students). Pre- and post-intervention surveys were used to assess program effectiveness. ES students in the intervention classes reported increased fruit and vegetable intake (+0.85 servings/day compared with controls; p < 0.05) and improved knowledge of the food group in which to eat the most servings (p < 0.01). ES students who participated in the IMPACT curriculum also reported increased intake of calcium-rich foods and grains, though these results were not statistically significant. Similar though nonsignificant improvements in diet behaviors were reported by the HS students who assisted in delivering the 4th grade curriculum. Study limitations include small sample size, risk of cross-contamination, and short program duration. ES students who participated in the IMPACT curriculum reported improved dietary behaviors and knowledge. School-based curricula such as IMPACT may help improve nutrition among ES students.
The Neurocognitive Development of Episodic Prospection and Its Implications for Academic Achievement
ERIC Educational Resources Information Center
Prabhakar, Janani; Coughlin, Christine; Ghetti, Simona
2016-01-01
Episodic prospection is the ability to mentally simulate personal future events that are rich in contextual detail and plausible for the individual. It therefore incorporates episodic information (who, what, where, and when of a particular event), as well as details about one's self (e.g., knowledge, goals, motivations and desires). The ability to…
Using Student Response Systems to Increase Motivation, Learning, and Knowledge Retention
ERIC Educational Resources Information Center
Radosevich, David J.; Salomon, Roger; Radosevich, Deirdre M.; Kahn, Patricia
2008-01-01
Student response system (SRS) technology is one of many tools available to help instructors create a rich and productive learning environment. David J. Radosevich, Roger Salomon, Deirdre M. Radosevich, and Patricia Kahn describe a study designed to measure the effect of an SRS on student interest and retention. Two sections of an undergraduate…
Learning in Developing Countries: Implications for Workforce Training and Development in Africa
ERIC Educational Resources Information Center
Arthur-Mensah, Nana; Shuck, Brad
2014-01-01
The implementation of e-learning as a strategy has risen exponentially over the last 20 years as more adults use this medium to enhance their skills and acquire knowledge. The utilization of technology offers significant advantages to both learners and organizations in terms of cost, time and rich learning content. E-learning has been widely…
Integrating Information Technology's Competencies into Academic Nursing Education--An Action Study
ERIC Educational Resources Information Center
Gonen, Ayala; Sharon, Dganit; Lev-Ari, Lilac
2016-01-01
Today, in the digital age, we are committed to prepare the future nurse for the information technology-rich workplace, and to help them reducing the "shock reality" upon arriving at the clinical setting. The main aim of the study is to promote the knowledge of Information Competencies Technology among nurses' educators and student. The…
Knowledge Acquisition: Utilizing the Internet To Access Educational Data.
ERIC Educational Resources Information Center
Slowinski, Joseph
The information rich environment of the World Wide Web provides a wealth of opportunities for international and comparative scholars of education to access a variety of electronic resources. These resources come in the form of reports, papers, policy positions, and others, many of which are available full-text if one knows where and how to locate…
Augmenting Oracle Text with the UMLS for enhanced searching of free-text medical reports.
Ding, Jing; Erdal, Selnur; Dhaval, Rakesh; Kamal, Jyoti
2007-10-11
The intrinsic complexity of free-text medical reports imposes great challenges for information retrieval systems. We have developed a prototype search engine for retrieving clinical reports that leverages the powerful indexing and querying capabilities of Oracle Text, and the rich biomedical domain knowledge and semantic structures that are captured in the UMLS Metathesaurus.
The Scaffolding of Emergent Literacy Skills in the Home Environment: A Case Study
ERIC Educational Resources Information Center
Neumann, Michelle M.; Hood, Michelle; Neumann, David L.
2009-01-01
The ways in which parent-child interactions can encourage the development of emergent literacy skills in young children remains to be fully explored. The present report describes how one parent scaffolded her young child's emergent writing and letter knowledge in the home. Environmental print provided many rich and meaningful examples for the…
Getting to Outcomes: A User's Guide to a Revised Indicators Framework for Education Organizing
ERIC Educational Resources Information Center
Gold, Eva; Simon, Elaine; Peralta, Renata
2013-01-01
Research about education organizing has proliferated during the past decade, generating an increasingly rich collection of case studies, national surveys, and other analyses. Research for Action (RFA) has been among those engaged in this work and has drawn on its previous efforts - as well as the knowledge built by community organizing groups and…
Leading Multi-Ethnic Schools: Adjustments in Concepts and Practices for Engaging with Diversity
ERIC Educational Resources Information Center
Shah, Saeeda
2008-01-01
The student population across world is increasingly reflective of diverse cultures, religions and ethnicities. This rich diversity may become a challenge for educational leaders, teachers, and policy-makers in the absence of an understanding of diverse sources of knowledge people draw on for directing their beliefs and daily practices. This paper…
Characterizing the Use of Mathematical Knowledge in Boundary-Crossing Situations at Work
ERIC Educational Resources Information Center
Kent, Phillip; Noss, Richard; Guile, David; Hoyles, Celia; Bakker, Arthur
2007-01-01
The first aim of this article is to present a characterization of the techno-mathematical literacies needed for effective practice in modern, technology-rich workplaces that are both highly automated and increasingly focused on flexible response to customer needs. The second aim is to introduce an epistemological dimension to activity theory,…
Observing Children When Using Computers with a Focus on Their Self-Esteem
ERIC Educational Resources Information Center
Hatzigianni, Maria; Margetts, Kay
2010-01-01
Children are born into a rich technological environment and by the time they attend preschool they already have accumulated a wide variety of technological experiences, skills and knowledge. This paper reports on part of a project undertaken in Melbourne, Australia, which had as a primary aim to explore the existence or not of a relationship…
Tapestry of Tales: Stories of Self, Family, and Community Provide Rich Fabric for Learning
ERIC Educational Resources Information Center
Stuczynski, Amy; Linik, Joyce Riha; Novick, Rebecca; Spraker, Jean; Tucci, Patti; Ellis, Debbie
2005-01-01
This resource guide provides information on how teachers from preschool through high school can use personal, family, and community stories to: (1) Bring students' narrative voice into the classroom; (2) Enrich teaching and learning by tapping into students' knowledge, lives, families, culture, and community; (3) Engage and motivate students to…
ERIC Educational Resources Information Center
Chinnappan, Mohan; McKenzie, Barbra; Fitzsimmons, Phil
2013-01-01
Reforms in Australia about the education of future teachers has placed a high degree of emphasis on the development of knowledge and skills that are necessary for practitioners who will ply their trade in culturally rich and diverse classrooms (Ramsey, 2000). There is now a broad consensus from key stakeholders (Australian Institute for Teaching…
Talking Pictures: Exploiting the Potential of Visual Sources to Generate Productive Pupil Talk
ERIC Educational Resources Information Center
Card, Jane
2012-01-01
Jane Card has long been fascinated by the power of visual sources to stimulate pupil thought and discussion. In previous articles she has shared insights from her own expert practice, fusing deep subject knowledge with careful planning to generate highly skilful questioning. Here she presents another rich example of classroom practice, carefully…
A Course in Evolutionary Biology: Engaging Students in the "Practice" of Evolution. Research Report.
ERIC Educational Resources Information Center
Passmore, Cynthia; Stewart, James
Recent education reform documents emphasize the need for students to develop a rich understanding of evolution's power to integrate knowledge of the natural world. This paper describes a nine-week high school course designed to help students understand evolutionary biology by engaging them in developing, elaborating, and using Charles Darwin's…
Enhancing Outcomes in Early Literacy for Young Children with Disabilities: Strategies for Success
ERIC Educational Resources Information Center
Johnston, Susan S.; McDonnell, Andrea P.; Hawken, Leanne S.
2008-01-01
Emerging literacy has been defined as the "reading and writing knowledge and behavior of children who are not yet conventionally literate" (Justice & Kaderavek, 2002, p. 8). This article provides readers with strategies for meeting the emerging literacy needs of young children with disabilities. Ideas for creating a literacy-rich environment as…
Evaluating the Impact of a Pattern Structure on Communicating Interaction Design Advice
ERIC Educational Resources Information Center
Abraham, Sunil George
2011-01-01
This study reports findings from a controlled experiment evaluating the benefits of structuring design advice as patterns. Over the years, the pattern concept from architecture has become a native within the HCI community and its related discussions on sharing design knowledge. It is argued that the context-rich, and tangible, nature of patterns…