A hybrid dynamic harmony search algorithm for identical parallel machines scheduling

NASA Astrophysics Data System (ADS)

Chen, Jing; Pan, Quan-Ke; Wang, Ling; Li, Jun-Qing

2012-02-01

In this article, a dynamic harmony search (DHS) algorithm is proposed for the identical parallel machines scheduling problem with the objective to minimize makespan. First, an encoding scheme based on a list scheduling rule is developed to convert the continuous harmony vectors to discrete job assignments. Second, the whole harmony memory (HM) is divided into multiple small-sized sub-HMs, and each sub-HM performs evolution independently and exchanges information with others periodically by using a regrouping schedule. Third, a novel improvisation process is applied to generate a new harmony by making use of the information of harmony vectors in each sub-HM. Moreover, a local search strategy is presented and incorporated into the DHS algorithm to find promising solutions. Simulation results show that the hybrid DHS (DHS_LS) is very competitive in comparison to its competitors in terms of mean performance and average computational time.

Integrating Identity Management With Federated Healthcare Data Models

NASA Astrophysics Data System (ADS)

Hu, Jun; Peyton, Liam

In order to manage performance and provide integrated services, health care data needs to be linked and aggregated across data sources from different organizations. The Internet and secure B2B networks offer the possibility of providing near real-time integration. However, there are three major stumbling blocks. One is to standardize and agree upon a common data model across organizations. The second is to match identities between different locations in order to link and aggregate records. The third is to protect identity and ensure compliance with privacy laws. In this paper, we analyze three main approaches to the problem and use a healthcare scenario to illustrate how each one addresses different aspects of the problem while failing to address others. We then present a systematic framework in which the different approaches can be flexibly combined for a more comprehensive approach to integrate identity management with federated healthcare data models.

Software Management Environment (SME): Components and algorithms

NASA Technical Reports Server (NTRS)

Hendrick, Robert; Kistler, David; Valett, Jon

1994-01-01

This document presents the components and algorithms of the Software Management Environment (SME), a management tool developed for the Software Engineering Branch (Code 552) of the Flight Dynamics Division (FDD) of the Goddard Space Flight Center (GSFC). The SME provides an integrated set of visually oriented experienced-based tools that can assist software development managers in managing and planning software development projects. This document describes and illustrates the analysis functions that underlie the SME's project monitoring, estimation, and planning tools. 'SME Components and Algorithms' is a companion reference to 'SME Concepts and Architecture' and 'Software Engineering Laboratory (SEL) Relationships, Models, and Management Rules.'

Strategies for managing impressions of racial identity in the workplace.

PubMed

Roberts, Laura Morgan; Cha, Sandra E; Kim, Sung Soo

2014-10-01

This article deepens understanding of the workplace experiences of racial minorities by investigating racial identity-based impression management (RIM) by Asian American journalists. Racial centrality, directly or indirectly, predicted the use of 4 RIM strategies (avoidance, enhancement, affiliation, and racial humor). Professional centrality also predicted strategy use, which was related to life satisfaction and perceived career success. By shedding light on proactive strategies that individuals use to influence colleagues' impressions of their racial identity, we contribute to research on diversity in organizations, impression management, and racial identity. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

[Meanings attributed to management as an explanation for clinician managers' attitudes and professional identity].

PubMed

Cascón-Pereira, Rosalía; Valverde, Mireia

2014-01-01

To understand the process by which clinician managers construct their professional identities and develop their attitudes toward managing. A qualitative study was performed, based on grounded theory, through in-depth interviews with 20 clinician managers selected through theoretical sampling in two public hospitals of Catalonia (Spain), participant observation, and documentation. Clinician managers' role meanings are constructed by comparing their roles with those of senior managers and clinicians. In this process, clinician managers seek to differentiate themselves from senior managers through the meanings constructed. In particular, they use proximity with reality and clinical knowledge as the main sources of differentiation. This study sheds light on why clinician managers develop adverse attitudes to managing and why they define themselves as clinicians rather than as managers. The explanation lies in the construction of the meanings they assign to managing as the basis of their attitudes to this role and professional identity. These findings have some practical implications for healthcare management. Copyright © 2014. Published by Elsevier Espana.

Developing an Assessment of Sexual Identity Management for Lesbian and Gay Workers.

ERIC Educational Resources Information Center

Anderson, Mary Z.; Croteau, James M.; DiStefano, Teresa M.; Chung, Y. Barry

2001-01-01

Psychometric properties of the Workplace Sexual Identity Management Measure were tested with 172 professionals. Results suggest it successfully assesses a continuum of lesbian and gay identity management strategies (passing, covering, implicitly out, explicitly out). (Contains 27 references.) (SK)

British-Pakistani women's perspectives of diabetes self-management: the role of identity.

PubMed

Majeed-Ariss, Rabiya; Jackson, Cath; Knapp, Peter; Cheater, Francine M

2015-09-01

To explore the effects of type 2 diabetes on British-Pakistani women's identity and its relationship with self-management. Type 2 diabetes is more prevalent and has worse outcomes among some ethnic minority groups. This may be due to poorer self-management and an inadequate match of health services to patient needs. The influence that type 2 diabetes has on British-Pakistani women's identity and subsequent self-management has received limited attention. An explorative qualitative study. Face-to-face semi-structured English and Urdu language interviews were conducted with a purposively selected heterogeneous sample of 15 British-Pakistani women with type 2 diabetes. Transcripts were analysed thematically. Four themes emerged: Perceived change in self emphasised how British-Pakistani women underwent a conscious adaptation of identity following diagnosis; Familiarity with ill health reflected women's adjustment to their changed identity over time; Diagnosis improves social support enabled women to accept changes within themselves and Supporting family is a barrier to self-management demonstrated how family roles were an aspect of women's identities that was resilient to change. The over-arching theme Role re-alignment enables successful self-management encapsulated how self-management was a continuous process where achievements needed to be sustained. Inter-generational differences were also noted: first generation women talked about challenges associated with ageing and co-morbidities; second generation women talked about familial and work roles competing with self-management. The complex nature of British-Pakistani women's self-identification requires consideration when planning and delivering healthcare. Culturally competent practice should recognise how generational status influences self-identity and diabetes self-management in ethnically diverse women. Health professionals should remain mindful of effective self-management occurring alongside, and being

Does identity shape leadership and management practice? Experiences of PHC facility managers in Cape Town, South Africa

PubMed Central

Daire, Judith; Gilson, Lucy

2014-01-01

In South Africa, as elsewhere, Primary Health Care (PHC) facilities are managed by professional nurses. Little is known about the dimensions and challenges of their job, or what influences their managerial practice. Drawing on leadership and organizational theory, this study explored what the job of being a PHC manager entails, and what factors influence their managerial practice. We specifically considered whether the appointment of professional nurses as facility managers leads to an identity transition, from nurse to manager. The overall intention was to generate ideas about how to support leadership development among PHC facility managers. Adopting case study methodology, the primary researcher facilitated in-depth discussions (about their personal history and managerial experiences) with eight participating facility managers from one geographical area. Other data were collected through in-depth interviews with key informants, document review and researcher field notes/journaling. Analysis involved data triangulation, respondent and peer review and cross-case analysis. The experiences show that the PHC facility manager’s job is dominated by a range of tasks and procedures focused on clinical service management, but is expected to encompass action to address the population and public health needs of the surrounding community. Managing with and through others, and in a complex system, requiring self-management, are critical aspects of the job. A range of personal, professional and contextual factors influence managerial practice, including professional identity. The current largely facility-focused management practice reflects the strong nursing identity of managers and broader organizational influences. However, three of the eight managers appear to self-identify an emerging leadership identity and demonstrate related managerial practices. Nonetheless, there is currently limited support for an identity transition towards leadership in this context. Better

Working to Reduce the Effects of Discrimination: Identity Management Strategies in Organizations

ERIC Educational Resources Information Center

Shih, Margaret; Young, Maia J.; Bucher, Amy

2013-01-01

Despite efforts to dispel discrimination, workplace discrimination still occurs. We introduce two classes of identity management strategies individuals use to mitigate the negative consequences of discrimination: identity switching (i.e., deemphasizing target identities and recategorizing to a more positively valued identity) and identity…

Searching for Extended Identity: The Problematised Role of Managing People Development, as Illuminated by the Frontline Management Initiative.

ERIC Educational Resources Information Center

Barratt-Pugh, Llandis

Australia's Frontline Management Initiative (FMI) marks a political move toward workplace learning and provides evidence concerning development of managing identities and management of such workplace learning. The FMI was examined as a technology of identity within the discourse of enterprise and an instrument of textualization of the workplace.…

The Formation of Professional Identity in French "Apprenti" Managers

ERIC Educational Resources Information Center

Angot, Jacques; Malloch, Hedley; Kleymann, Birgit

2008-01-01

Purpose: The paper aims to show how professional identity is constructed at a very early stage of initial management education. In so doing, it questions the notion of "le metier" in management. Design/methodology/approach: The paper is based on a study of the experiences of six French management apprentices (or apprentis) who…

Does identity shape leadership and management practice? Experiences of PHC facility managers in Cape Town, South Africa.

PubMed

Daire, Judith; Gilson, Lucy

2014-09-01

In South Africa, as elsewhere, Primary Health Care (PHC) facilities are managed by professional nurses. Little is known about the dimensions and challenges of their job, or what influences their managerial practice. Drawing on leadership and organizational theory, this study explored what the job of being a PHC manager entails, and what factors influence their managerial practice. We specifically considered whether the appointment of professional nurses as facility managers leads to an identity transition, from nurse to manager. The overall intention was to generate ideas about how to support leadership development among PHC facility managers. Adopting case study methodology, the primary researcher facilitated in-depth discussions (about their personal history and managerial experiences) with eight participating facility managers from one geographical area. Other data were collected through in-depth interviews with key informants, document review and researcher field notes/journaling. Analysis involved data triangulation, respondent and peer review and cross-case analysis. The experiences show that the PHC facility manager's job is dominated by a range of tasks and procedures focused on clinical service management, but is expected to encompass action to address the population and public health needs of the surrounding community. Managing with and through others, and in a complex system, requiring self-management, are critical aspects of the job. A range of personal, professional and contextual factors influence managerial practice, including professional identity. The current largely facility-focused management practice reflects the strong nursing identity of managers and broader organizational influences. However, three of the eight managers appear to self-identify an emerging leadership identity and demonstrate related managerial practices. Nonetheless, there is currently limited support for an identity transition towards leadership in this context. Better

Conversations outside the Comfort Zone: Identity Formation in SME Manager Action Learning

ERIC Educational Resources Information Center

Anderson, Lisa; Gold, Jeff

2009-01-01

In this paper we consider the construction of narrative identity and particularly how managers of small businesses may construct new narrative identities within the activity of the action learning situation. We build on recent work to suggest that the "world" of managers can be explored through a consideration of Vygotsky's socio-cultural theory…

A Contextual Model for Identity Management (IdM) Interfaces

ERIC Educational Resources Information Center

Fuller, Nathaniel J.

2014-01-01

The usability of Identity Management (IdM) systems is highly dependent upon design that simplifies the processes of identification, authentication, and authorization. Recent findings reveal two critical problems that degrade IdM usability: (1) unfeasible techniques for managing various digital identifiers, and (2) ambiguous security interfaces.…

TIA: algorithms for development of identity-linked SNP islands for analysis by massively parallel DNA sequencing.

PubMed

Farris, M Heath; Scott, Andrew R; Texter, Pamela A; Bartlett, Marta; Coleman, Patricia; Masters, David

2018-04-11

Single nucleotide polymorphisms (SNPs) located within the human genome have been shown to have utility as markers of identity in the differentiation of DNA from individual contributors. Massively parallel DNA sequencing (MPS) technologies and human genome SNP databases allow for the design of suites of identity-linked target regions, amenable to sequencing in a multiplexed and massively parallel manner. Therefore, tools are needed for leveraging the genotypic information found within SNP databases for the discovery of genomic targets that can be evaluated on MPS platforms. The SNP island target identification algorithm (TIA) was developed as a user-tunable system to leverage SNP information within databases. Using data within the 1000 Genomes Project SNP database, human genome regions were identified that contain globally ubiquitous identity-linked SNPs and that were responsive to targeted resequencing on MPS platforms. Algorithmic filters were used to exclude target regions that did not conform to user-tunable SNP island target characteristics. To validate the accuracy of TIA for discovering these identity-linked SNP islands within the human genome, SNP island target regions were amplified from 70 contributor genomic DNA samples using the polymerase chain reaction. Multiplexed amplicons were sequenced using the Illumina MiSeq platform, and the resulting sequences were analyzed for SNP variations. 166 putative identity-linked SNPs were targeted in the identified genomic regions. Of the 309 SNPs that provided discerning power across individual SNP profiles, 74 previously undefined SNPs were identified during evaluation of targets from individual genomes. Overall, DNA samples of 70 individuals were uniquely identified using a subset of the suite of identity-linked SNP islands. TIA offers a tunable genome search tool for the discovery of targeted genomic regions that are scalable in the population frequency and numbers of SNPs contained within the SNP island regions

A pragmatic evidence-based clinical management algorithm for burning mouth syndrome.

PubMed

Kim, Yohanan; Yoo, Timothy; Han, Peter; Liu, Yuan; Inman, Jared C

2018-04-01

Burning mouth syndrome is a poorly understood disease process with no current standard of treatment. The goal of this article is to provide an evidence-based, practical, clinical algorithm as a guideline for the treatment of burning mouth syndrome. Using available evidence and clinical experience, a multi-step management algorithm was developed. A retrospective cohort study was then performed, following STROBE statement guidelines, comparing outcomes of patients who were managed using the algorithm and those who were managed without. Forty-seven patients were included in the study, with 21 (45%) managed using the algorithm and 26 (55%) managed without. The mean age overall was 60.4 ±16.5 years, and most patients (39, 83%) were female. Cohorts showed no statistical difference in age, sex, overall follow-up time, dysgeusia, geographic tongue, or psychiatric disorder; xerostomia, however, was significantly different, skewed toward the algorithm group. Significantly more non-algorithm patients did not continue care (69% vs. 29%, p =0.001). The odds ratio of not continuing care for the non-algorithm group compared to the algorithm group was 5.6 [1.6, 19.8]. Improvement in pain was significantly more likely in the algorithm group ( p =0.001), with an odds ratio of 27.5 [3.1, 242.0]. We present a basic clinical management algorithm for burning mouth syndrome which may increase the likelihood of pain improvement and patient follow-up. Key words: Burning mouth syndrome, burning tongue, glossodynia, oral pain, oral burning, therapy, treatment.

Research Management in Portugal: A Quest for Professional Identity

ERIC Educational Resources Information Center

Trindade, Margarida; Agostinho, Marta

2014-01-01

Research managers at science-intensive institutions appear as a continuously evolving group of professionals whose identity is somewhat fragmented, even to themselves. In Portugal, specialized research manager roles have rapidly emerged over the last years alongside the development of a small but consolidated scientific system. In order to get an…

Insertion algorithms for network model database management systems

NASA Astrophysics Data System (ADS)

Mamadolimov, Abdurashid; Khikmat, Saburov

2017-12-01

The network model is a database model conceived as a flexible way of representing objects and their relationships. Its distinguishing feature is that the schema, viewed as a graph in which object types are nodes and relationship types are arcs, forms partial order. When a database is large and a query comparison is expensive then the efficiency requirement of managing algorithms is minimizing the number of query comparisons. We consider updating operation for network model database management systems. We develop a new sequantial algorithm for updating operation. Also we suggest a distributed version of the algorithm.

A pragmatic evidence-based clinical management algorithm for burning mouth syndrome

PubMed Central

Yoo, Timothy; Han, Peter; Liu, Yuan; Inman, Jared C.

2018-01-01

Background Burning mouth syndrome is a poorly understood disease process with no current standard of treatment. The goal of this article is to provide an evidence-based, practical, clinical algorithm as a guideline for the treatment of burning mouth syndrome. Material and Methods Using available evidence and clinical experience, a multi-step management algorithm was developed. A retrospective cohort study was then performed, following STROBE statement guidelines, comparing outcomes of patients who were managed using the algorithm and those who were managed without. Results Forty-seven patients were included in the study, with 21 (45%) managed using the algorithm and 26 (55%) managed without. The mean age overall was 60.4 ±16.5 years, and most patients (39, 83%) were female. Cohorts showed no statistical difference in age, sex, overall follow-up time, dysgeusia, geographic tongue, or psychiatric disorder; xerostomia, however, was significantly different, skewed toward the algorithm group. Significantly more non-algorithm patients did not continue care (69% vs. 29%, p=0.001). The odds ratio of not continuing care for the non-algorithm group compared to the algorithm group was 5.6 [1.6, 19.8]. Improvement in pain was significantly more likely in the algorithm group (p=0.001), with an odds ratio of 27.5 [3.1, 242.0]. Conclusions We present a basic clinical management algorithm for burning mouth syndrome which may increase the likelihood of pain improvement and patient follow-up. Key words:Burning mouth syndrome, burning tongue, glossodynia, oral pain, oral burning, therapy, treatment. PMID:29750091

The Effects of Virtual Communities on Group Identity in Classroom Management

ERIC Educational Resources Information Center

Ho, Tu-Kuang; Lin, Yu-Tzeng

2016-01-01

Group identity is a critical component in developing effective classroom management. While there have been numerous studies on group identity, they have primarily focused on its effects on the physical classroom entity. Advances in information technology, however, have enabled the creation of virtual communities, which have become a vital channel…

Adaptation of the Utrecht-Management of Identity Commitments Scale (U-MICS) to the measurement of the parental identity domain.

PubMed

Piotrowski, Konrad

2018-04-01

The present studies examined the psychometric properties of the Utrecht-Management of Identity Commitments Scale (U-MICS) adapted to the measurement of identity formation in the parental identity domain. As the parental identity domain has only been studied within the neo-Eriksonian approach to a very limited extent, the aim of these studies was to prepare a short, valid and reliable tool for the measurement of parental identity in order to fill this gap. The associations of commitment, in-depth exploration and reconsideration of commitment in the parental domain with well-being and with other identity constructs were analyzed. The results showed that parental identity formation is associated with mothers' satisfaction with life and trait anxiety and with identity formation in other areas as well. The initial results suggest that the adapted version of the U-MICS is a valid and reliable measure that can be used in future studies on parental identity formation. © 2017 The Author. Scandinavian Journal of Psychology published by Scandinavian Psychological Associations and John Wiley & Sons Ltd.

Optimization of identity operation in NMR spectroscopy via genetic algorithm: Application to the TEDOR experiment

NASA Astrophysics Data System (ADS)

Manu, V. S.; Veglia, Gianluigi

2016-12-01

Identity operation in the form of π pulses is widely used in NMR spectroscopy. For an isolated single spin system, a sequence of even number of π pulses performs an identity operation, leaving the spin state essentially unaltered. For multi-spin systems, trains of π pulses with appropriate phases and time delays modulate the spin Hamiltonian to perform operations such as decoupling and recoupling. However, experimental imperfections often jeopardize the outcome, leading to severe losses in sensitivity. Here, we demonstrate that a newly designed Genetic Algorithm (GA) is able to optimize a train of π pulses, resulting in a robust identity operation. As proof-of-concept, we optimized the recoupling sequence in the transferred-echo double-resonance (TEDOR) pulse sequence, a key experiment in biological magic angle spinning (MAS) solid-state NMR for measuring multiple carbon-nitrogen distances. The GA modified TEDOR (GMO-TEDOR) experiment with improved recoupling efficiency results in a net gain of sensitivity up to 28% as tested on a uniformly 13C, 15N labeled microcrystalline ubiquitin sample. The robust identity operation achieved via GA paves the way for the optimization of several other pulse sequences used for both solid- and liquid-state NMR used for decoupling, recoupling, and relaxation experiments.

An Algorithm for Neuropathic Pain Management in Older People.

PubMed

Pickering, Gisèle; Marcoux, Margaux; Chapiro, Sylvie; David, Laurence; Rat, Patrice; Michel, Micheline; Bertrand, Isabelle; Voute, Marion; Wary, Bernard

2016-08-01

Neuropathic pain frequently affects older people, who generally also have several comorbidities. Elderly patients are often poly-medicated, which increases the risk of drug-drug interactions. These patients, especially those with cognitive problems, may also have restricted communication skills, making pain evaluation difficult and pain treatment challenging. Clinicians and other healthcare providers need a decisional algorithm to optimize the recognition and management of neuropathic pain. We present a decisional algorithm developed by a multidisciplinary group of experts, which focuses on pain assessment and therapeutic options for the management of neuropathic pain, particularly in the elderly. The algorithm involves four main steps: (1) detection, (2) evaluation, (3) treatment, and (4) re-evaluation. The detection of neuropathic pain is an essential step in ensuring successful management. The extent of the impact of the neuropathic pain is then assessed, generally with self-report scales, except in patients with communication difficulties who can be assessed using behavioral scales. The management of neuropathic pain frequently requires combination treatments, and recommended treatments should be prescribed with caution in these elderly patients, taking into consideration their comorbidities and potential drug-drug interactions and adverse events. This algorithm can be used in the management of neuropathic pain in the elderly to ensure timely and adequate treatment by a multidisciplinary team.

Campus Single Sign-On und hochschulübergreifendes Identity Management

NASA Astrophysics Data System (ADS)

Hommel, Wolfgang

Das im Rahmen von IntegraTUM für die TUM geschaffene Identity & Access Management System setzt das Paradigma unified login um, d. h. ein Benutzer kann alle für ihn relevanten Dienste innerhalb der Hochschule mit derselben Loginname-/Passwortkombination nutzen. Dieser Artikel zeigt, wie auf Basis der Software Shibboleth und der deutschlandweiten Hochschulföderation DFN-AAI als weitere Mehrwerte das campusweite web single sign-on und die nahtlose Nutzung zahlreicher externer Web-Anwendungen erreicht werden. Als Beispiel für die Abläufe bei der Erschließung neuer Dienste für die hochschulübergreifende Nutzung wird die Anbindung von Learning Management Systemen auf Basis des DFN-AAI E-Learning-Profils diskutiert. Den umfassenden Vorteilen werden schließlich die aktuellen technischen Grenzen bei der Umsetzung des hochschulübergreifenden Identity Management gegenübergestellt.

Identity management strategies among HIV-positive Colombian gay men in London.

PubMed

Jaspal, Rusi; Williamson, Iain

2017-12-01

This study set out to explore the social-psychological aspects of living with HIV among a group of HIV-positive Colombian gay men in London, and the strategies that they deployed to manage ensuing threats to their identities. Focus group and individual interview data were collected from 14 Colombian gay men living with HIV, and were analysed using qualitative thematic analysis and identity process theory. The following themes are discussed: (1) identity struggles and conflicts in Colombia, (2), managing multiple layers of social stigma in England, and (3) changing interpersonal and intergroup dynamics, which highlight the inter-connections between sexual prejudice, sexual risk-taking and HIV stigma. Identity may be chronically threatened due to the multiple layers of stigma, which can limit the coping strategies available to individuals. Findings strongly support the need for action and programmes to highlight and tackle both racism and HIV stigma on the gay scene and to fund more specific resources for sub-communities of gay, bisexual and other men who have sex with men, which employ appropriately trained and culturally competent staff.

Managing and learning with multiple models: Objectives and optimization algorithms

USGS Publications Warehouse

Probert, William J. M.; Hauser, C.E.; McDonald-Madden, E.; Runge, M.C.; Baxter, P.W.J.; Possingham, H.P.

2011-01-01

The quality of environmental decisions should be gauged according to managers' objectives. Management objectives generally seek to maximize quantifiable measures of system benefit, for instance population growth rate. Reaching these goals often requires a certain degree of learning about the system. Learning can occur by using management action in combination with a monitoring system. Furthermore, actions can be chosen strategically to obtain specific kinds of information. Formal decision making tools can choose actions to favor such learning in two ways: implicitly via the optimization algorithm that is used when there is a management objective (for instance, when using adaptive management), or explicitly by quantifying knowledge and using it as the fundamental project objective, an approach new to conservation.This paper outlines three conservation project objectives - a pure management objective, a pure learning objective, and an objective that is a weighted mixture of these two. We use eight optimization algorithms to choose actions that meet project objectives and illustrate them in a simulated conservation project. The algorithms provide a taxonomy of decision making tools in conservation management when there is uncertainty surrounding competing models of system function. The algorithms build upon each other such that their differences are highlighted and practitioners may see where their decision making tools can be improved. ?? 2010 Elsevier Ltd.

Identity and Access Management: Technological Implementation of Policy

ERIC Educational Resources Information Center

von Munkwitz-Smith, Jeff; West, Ann

2004-01-01

Navigating the multiple processes for accessing ever-multiplying campus information systems can be a daunting task for students, faculty, and staff. This article provides a brief overview of Identity and Access Management Services. The authors review key characteristics and components of this new information architecture and address the issue of…

An international consensus algorithm for management of chronic postoperative inguinal pain.

PubMed

Lange, J F M; Kaufmann, R; Wijsmuller, A R; Pierie, J P E N; Ploeg, R J; Chen, D C; Amid, P K

2015-02-01

Tension-free mesh repair of inguinal hernia has led to uniformly low recurrence rates. Morbidity associated with this operation is mainly related to chronic pain. No consensus guidelines exist for the management of this condition. The goal of this study is to design an expert-based algorithm for diagnostic and therapeutic management of chronic inguinal postoperative pain (CPIP). A group of surgeons considered experts on inguinal hernia surgery was solicited to develop the algorithm. Consensus regarding each step of an algorithm proposed by the authors was sought by means of the Delphi method leading to a revised expert-based algorithm. With the input of 28 international experts, an algorithm for a stepwise approach for management of CPIP was created. 26 participants accepted the final algorithm as a consensus model. One participant could not agree with the final concept. One expert did not respond during the final phase. There is a need for guidelines with regard to management of CPIP. This algorithm can serve as a guide with regard to the diagnosis, management, and treatment of these patients and improve clinical outcomes. If an expectative phase of a few months has passed without any amelioration of CPIP, a multidisciplinary approach is indicated and a pain management team should be consulted. Pharmacologic, behavioral, and interventional modalities including nerve blocks are essential. If conservative measures fail and surgery is considered, triple neurectomy, correction for recurrence with or without neurectomy, and meshoma removal if indicated should be performed. Surgeons less experienced with remedial operations for CPIP should not hesitate to refer their patients to dedicated hernia surgeons.

Dialogue, Language and Identity: Critical Issues for Networked Management Learning

ERIC Educational Resources Information Center

Ferreday, Debra; Hodgson, Vivien; Jones, Chris

2006-01-01

This paper draws on the work of Mikhail Bakhtin and Norman Fairclough to show how dialogue is central to the construction of identity in networked management learning. The paper is based on a case study of a networked management learning course in higher education and attempts to illustrate how participants negotiate issues of difference,…

"Managing identities" and parental disclosure of HIV sero-status in Zimbabwe.

PubMed

Muparamoto, Nelson; Chiweshe, Manase Kudzai

2015-01-01

Drawing from a small sample of HIV infected respondents, this paper examines parents' perceptions on the decision to disclose or not to disclose their HIV sero-status to their children. It explores how parents control the information in the interactional ritual with their children. The paper uses Goffman's concept of dramaturgy to analyse how parents manage and control disclosure within a context where HIV and AIDS is associated with stigma. Disclosure is a strategic encounter in which the interactants (parents) manage to create a desired identity or spoil an identity. Qualitative research incorporating focus group discussions and in-depth interviews was used to examine the perceptions of parents who are HIV positive on disclosure of their status to their children. Such a methodological approach allows for a nuanced understanding of the context in which decision to disclose status happens. The study findings show that in a social context involving parents and children as actors there are complex expectations which affect parental disclosure of HIV sero-status to their children. The desire to manage an expected identity militated or enabled disclosure in a parental relationship.

Identity management and privacy languages technologies: Improving user control of data privacy

NASA Astrophysics Data System (ADS)

García, José Enrique López; García, Carlos Alberto Gil; Pacheco, Álvaro Armenteros; Organero, Pedro Luis Muñoz

The identity management solutions have the capability to bring confidence to internet services, but this confidence could be improved if user has more control over the privacy policy of its attributes. Privacy languages could help to this task due to its capability to define privacy policies for data in a very flexible way. So, an integration problem arises: making work together both identity management and privacy languages. Despite several proposals for accomplishing this have already been defined, this paper suggests some topics and improvements that could be considered.

Globus Nexus: A Platform-as-a-Service Provider of Research Identity, Profile, and Group Management.

PubMed

Chard, Kyle; Lidman, Mattias; McCollam, Brendan; Bryan, Josh; Ananthakrishnan, Rachana; Tuecke, Steven; Foster, Ian

2016-03-01

Globus Nexus is a professionally hosted Platform-as-a-Service that provides identity, profile and group management functionality for the research community. Many collaborative e-Science applications need to manage large numbers of user identities, profiles, and groups. However, developing and maintaining such capabilities is often challenging given the complexity of modern security protocols and requirements for scalable, robust, and highly available implementations. By outsourcing this functionality to Globus Nexus, developers can leverage best-practice implementations without incurring development and operations overhead. Users benefit from enhanced capabilities such as identity federation, flexible profile management, and user-oriented group management. In this paper we present Globus Nexus, describe its capabilities and architecture, summarize how several e-Science applications leverage these capabilities, and present results that characterize its scalability, reliability, and availability.

Globus Nexus: A Platform-as-a-Service Provider of Research Identity, Profile, and Group Management

PubMed Central

Lidman, Mattias; McCollam, Brendan; Bryan, Josh; Ananthakrishnan, Rachana; Tuecke, Steven; Foster, Ian

2015-01-01

Globus Nexus is a professionally hosted Platform-as-a-Service that provides identity, profile and group management functionality for the research community. Many collaborative e-Science applications need to manage large numbers of user identities, profiles, and groups. However, developing and maintaining such capabilities is often challenging given the complexity of modern security protocols and requirements for scalable, robust, and highly available implementations. By outsourcing this functionality to Globus Nexus, developers can leverage best-practice implementations without incurring development and operations overhead. Users benefit from enhanced capabilities such as identity federation, flexible profile management, and user-oriented group management. In this paper we present Globus Nexus, describe its capabilities and architecture, summarize how several e-Science applications leverage these capabilities, and present results that characterize its scalability, reliability, and availability. PMID:26688598

Identity Management and Trust Services: Foundations for Cloud Computing

ERIC Educational Resources Information Center

Suess, Jack; Morooney, Kevin

2009-01-01

Increasingly, IT organizations will move from providing IT services locally to becoming an integrator of IT services--some provided locally and others provided outside the institution. As a result, institutions must immediately begin to plan for shared services and must understand the essential role that identity management and trust services play…

Managing Quality, Identity and Adversaries in Public Discourse with Machine Learning

ERIC Educational Resources Information Center

Brennan, Michael

2012-01-01

Automation can mitigate issues when scaling and managing quality and identity in public discourse on the web. Discourse needs to be curated and filtered. Anonymous speech has to be supported while handling adversaries. Reliance on human curators or analysts does not scale and content can be missed. These scaling and management issues include the…

Comparison of genetic algorithm methods for fuel management optimization

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

DeChaine, M.D.; Feltus, M.A.

1995-12-31

The CIGARO system was developed for genetic algorithm fuel management optimization. Tests are performed to find the best fuel location swap mutation operator probability and to compare genetic algorithm to a truly random search method. Tests showed the fuel swap probability should be between 0% and 10%, and a 50% definitely hampered the optimization. The genetic algorithm performed significantly better than the random search method, which did not even satisfy the peak normalized power constraint.

Fuel management optimization using genetic algorithms and expert knowledge

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

DeChaine, M.D.; Feltus, M.A.

1996-09-01

The CIGARO fuel management optimization code based on genetic algorithms is described and tested. The test problem optimized the core lifetime for a pressurized water reactor with a penalty function constraint on the peak normalized power. A bit-string genotype encoded the loading patterns, and genotype bias was reduced with additional bits. Expert knowledge about fuel management was incorporated into the genetic algorithm. Regional crossover exchanged physically adjacent fuel assemblies and improved the optimization slightly. Biasing the initial population toward a known priority table significantly improved the optimization.

Globus Nexus: A Platform-as-a-Service provider of research identity, profile, and group management

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

Chard, Kyle; Lidman, Mattias; McCollam, Brendan

Globus Nexus is a professionally hosted Platform-as-a-Service that provides identity, profile and group management functionality for the research community. Many collaborative e-Science applications need to manage large numbers of user identities, profiles, and groups. However, developing and maintaining such capabilities is often challenging given the complexity of modern security protocols and requirements for scalable, robust, and highly available implementations. By outsourcing this functionality to Globus Nexus, developers can leverage best-practice implementations without incurring development and operations overhead. Users benefit from enhanced capabilities such as identity federation, flexible profile management, and user-oriented group management. In this paper we present Globus Nexus,more » describe its capabilities and architecture, summarize how several e-Science applications leverage these capabilities, and present results that characterize its scalability, reliability, and availability.« less

Genital pain: algorithm for management

PubMed Central

Calixte, Nahomy; Brahmbhatt, Jamin

2017-01-01

Chronic testicular pain although becoming very common in our patient population poses a challenge to the physician, the patient and his family. The pathogenesis of chronic orchialgia (CO) is not well understood. The objective of this paper is to review the current literature on chronic testicular pain and its management and to propose an algorithm for its treatment. Abstracts, original papers and review articles were reviewed during a literature search using words such as testicular pain, CO, and microsurgical anatomy of spermatic cord. Chronic scrotal content pain (CSP) is a difficult condition to treat and could be idiopathic or secondary. Conservative therapy is the first line of treatment attempted to allow the patient to return to his routine activities. When conservative treatment fails, patients can now turn toward surgical options such as microsurgical denervation of the spermatic cord (MDSC) which has a success rate published in the 60–85% range and/or minimally invasive therapies such as microcryoablation of the spermatic cord, Botox or Amniofix injection. There is an increase in referrals for CO. The true pathogenesis is still unclear and the road to complete recovery is unsure for certain patients. This paper proposes an algorithm for the management of patients suffering with CO. PMID:28540232

Professional Identities of Middle Managers: A Case Study in the Faculty of Health and Social Care

ERIC Educational Resources Information Center

Thomas-Gregory, Annette

2014-01-01

This article presents and discusses the findings of a recent study on the professional identities of middle managers in a school of healthcare in a selected Chartered (pre-1992) UK university. Attention focuses on the career backgrounds of the middle managers, perception of identity and the interactional balance between the professional, academic…

Spoiled Group Identities and Backstage Work: A Theory of Stigma Management Rehearsals

ERIC Educational Resources Information Center

O'Brien, John

2011-01-01

How do persons with a stigmatized identity learn potential responses to discrimination and harassment? Drawing on three and a half years of ethnographic data, this paper demonstrates how members of a group of Muslim American youth are socialized in locally dominant stigma management strategies through stigma management rehearsals. Stigma…

Tools for Analyzing Computing Resource Management Strategies and Algorithms for SDR Clouds

NASA Astrophysics Data System (ADS)

Marojevic, Vuk; Gomez-Miguelez, Ismael; Gelonch, Antoni

2012-09-01

Software defined radio (SDR) clouds centralize the computing resources of base stations. The computing resource pool is shared between radio operators and dynamically loads and unloads digital signal processing chains for providing wireless communications services on demand. Each new user session request particularly requires the allocation of computing resources for executing the corresponding SDR transceivers. The huge amount of computing resources of SDR cloud data centers and the numerous session requests at certain hours of a day require an efficient computing resource management. We propose a hierarchical approach, where the data center is divided in clusters that are managed in a distributed way. This paper presents a set of computing resource management tools for analyzing computing resource management strategies and algorithms for SDR clouds. We use the tools for evaluating a different strategies and algorithms. The results show that more sophisticated algorithms can achieve higher resource occupations and that a tradeoff exists between cluster size and algorithm complexity.

A novel symbiotic organisms search algorithm for congestion management in deregulated environment

NASA Astrophysics Data System (ADS)

Verma, Sumit; Saha, Subhodip; Mukherjee, V.

2017-01-01

In today's competitive electricity market, managing transmission congestion in deregulated power system has created challenges for independent system operators to operate the transmission lines reliably within the limits. This paper proposes a new meta-heuristic algorithm, called as symbiotic organisms search (SOS) algorithm, for congestion management (CM) problem in pool based electricity market by real power rescheduling of generators. Inspired by interactions among organisms in ecosystem, SOS algorithm is a recent population based algorithm which does not require any algorithm specific control parameters unlike other algorithms. Various security constraints such as load bus voltage and line loading are taken into account while dealing with the CM problem. In this paper, the proposed SOS algorithm is applied on modified IEEE 30- and 57-bus test power system for the solution of CM problem. The results, thus, obtained are compared to those reported in the recent state-of-the-art literature. The efficacy of the proposed SOS algorithm for obtaining the higher quality solution is also established.

A novel symbiotic organisms search algorithm for congestion management in deregulated environment

NASA Astrophysics Data System (ADS)

Verma, Sumit; Saha, Subhodip; Mukherjee, V.

2017-01-01

In today's competitive electricity market, managing transmission congestion in deregulated power system has created challenges for independent system operators to operate the transmission lines reliably within the limits. This paper proposes a new meta-heuristic algorithm, called as symbiotic organisms search (SOS) algorithm, for congestion management (CM) problem in pool-based electricity market by real power rescheduling of generators. Inspired by interactions among organisms in ecosystem, SOS algorithm is a recent population-based algorithm which does not require any algorithm specific control parameters unlike other algorithms. Various security constraints such as load bus voltage and line loading are taken into account while dealing with the CM problem. In this paper, the proposed SOS algorithm is applied on modified IEEE 30- and 57-bus test power system for the solution of CM problem. The results, thus, obtained are compared to those reported in the recent state-of-the-art literature. The efficacy of the proposed SOS algorithm for obtaining the higher quality solution is also established.

Wildland recreationists’ natural resource management purposes and preferences: a connection to environmental identity

Treesearch

Patricia L. Winter; Deborah J. Chavez

2008-01-01

Wilderness and day use recreationists’ preferences for natural resource management and their perceptions of purposes for management are examined in this paper. Environmental identity (EID) salience is used to help shed light on variations in recreationists’ preferences for how natural resources should be managed. Findings from two studies are reported; the first was...

Use of chronic disease management algorithms in Australian community pharmacies.

PubMed

Morrissey, Hana; Ball, Patrick; Jackson, David; Pilloto, Louis; Nielsen, Sharon

2015-01-01

In Australia, standardized chronic disease management algorithms are available for medical practitioners, nursing practitioners and nurses through a range of sources including prescribing software, manuals and through government and not-for-profit non-government organizations. There is currently no standardized algorithm for pharmacist intervention in the management of chronic diseases.. To investigate if a collaborative community pharmacists and doctors' model of care in chronic disease management could improve patients' outcomes through ongoing monitoring of disease biochemical markers, robust self-management skills and better medication adherence. This project was a pilot pragmatic study, measuring the effect of the intervention by comparing the baseline and the end of the study patient health outcomes, to support future definitive studies. Algorithms for selected chronic conditions were designed, based on the World Health Organisation STEPS™ process and Central Australia Rural Practitioners' Association Standard Treatment Manual. They were evaluated in community pharmacies in 8 inland Australian small towns, mostly having only one pharmacy in order to avoid competition issues. The algorithms were reviewed by Murrumbidgee Medicare Local Ltd, New South Wales, Australia, Quality use of Medicines committee. They constitute a pharmacist-driven, doctor/pharmacist collaboration primary care model. The Pharmacy owners volunteered to take part in the study and patients were purposefully recruited by in-store invitation. Six out of 9 sites' pharmacists (67%) were fully capable of delivering the algorithm (each site had 3 pharmacists), one site (11%) with 2 pharmacists, found it too difficult and withdrew from the study, and 2 sites (22%, with one pharmacist at each site) stated that they were personally capable of delivering the algorithm but unable to do so due to workflow demands. This primary care model can form the basis of workable collaboration between doctors

Solving Identity Management and Interoperability Problems at Pan-European Level

NASA Astrophysics Data System (ADS)

Sánchez García, Sergio; Gómez Oliva, Ana

In a globalized digital world, it is essential for persons and entities to have a recognized and unambiguous electronic identity that allows them to communicate with one another. The management of this identity by public administrations is an important challenge that becomes even more crucial when interoperability among public administrations of different countries becomes necessary, as persons and entities have different credentials depending on their own national legal frameworks. More specifically, different credentials and legal frameworks cause interoperability problems that prevent reliable access to public services in a cross-border scenarios like today's European Union. Work in this doctoral thesis try to analyze the problem in a carefully detailed manner by studying existing proposals (basically in Europe), proposing improvements in defined architectures and performing practical work to test the viability of solutions. Moreover, this thesis will also address the long-standing security problem of identity delegation, which is especially important in complex and heterogeneous service delivery environments like those mentioned above. This is a position paper.

Group affiliation in self-management: support or threat to identity?

PubMed

Bossy, Dagmara; Knutsen, Ingrid Ruud; Rogers, Anne; Foss, Christina

2017-02-01

Self-management is considered important in chronic illness, and contemporary health policy recommends participation in support groups for individuals with chronic conditions. Although withdrawal from or non-participation in support groups is an important problem, there is limited knowledge about individuals' own motivation for participation in or withdrawal from self-management support groups. To investigate how individuals with type 2 diabetes perceive participation in group-based self-management support. This is a qualitative focus group study using a semi-structured interview guide. Sixteen participants diagnosed with type 2 diabetes were included in the study. Individuals with and without group affiliations were mixed in three focus groups to trigger discussions. In the analysis, reoccurring themes of engagement and discussions between participants were focused within a theoretical frame of institutional logic. The focus groups are seen as social spaces where participants construct identity. Both participation and non-participation in group-based self-management support are associated with dealing with the stigma of having type 2 diabetes. Negotiations contribute to constructing an illness dignity as a response to the logic of moral responsibility for the disease. Contemporary policy contributes to societal understandings of individuals with type 2 diabetes as morally inadequate. Our study shows that group-based self-management support may counteract blame and contribute in negotiations of identity for individuals with type 2 diabetes. This mechanism makes participation in groups beneficial for some but stigma inducing for others. © 2016 The Authors. Health Expectations Published by John Wiley & Sons Ltd.

Managing identity impacts associated with disclosure of HIV status: a qualitative investigation

PubMed Central

Frye, Victoria; Fortin, Princess; MacKenzie, Sonja; Purcell, David; Edwards, Lorece V.; Mitchell, Shannon Gwin; Valverde, Eduardo; Garfein, R.; Metsch, Lisa; Latka, Mary H

2011-01-01

Disclosure of HIV status to potential and current sex partners by HIV-positive people (HIVPP) is a complex issue that has received a significant amount of attention. Research has found that disclosure depends upon the evaluation by HIVPP of potential benefits and risks, especially of the risks stemming from the profound social stigma of HIV and AIDS. Drawing on concepts from Goffman’s classic stigma theory and Anderson’s more recently developed cultural-identity theory of drug abuse, we analyzed data from in-depth, post-intervention qualitative interviews with 116 heterosexually active, HIV-positive injection drug users enrolled in a randomized trial of a behavioral intervention to prevent HIV transmission. We explored how disclosure experiences lead to “identity impacts” defined as: (1) identity challenges (i.e. interactions that challenge an individual’s self-concept as a “normal” or non-deviant individual); and (2) identity transformations (i.e. processes whereby an individual comes to embrace a new identity and reject behaviors and values of an old one, resulting in the conscious adoption of a social and/or public identity as an HIV-positive individual). Participants engaged in several strategies to manage the identity impacts associated with disclosure. Implications of these findings for research and prevention programming are discussed. PMID:20024764

[Effects of an integrated self-management program on self-management, glycemic control, and maternal identity in women with gestational diabetes mellitus].

PubMed

Kim, HeeSook; Kim, Sue

2013-02-01

The purpose of the study was to investigate the effects of an integrated self-management program on self-management, glycemic control, and maternal identity in women with gestational diabetes mellitus (GDM). A non-equivalent control group non-synchronized quasi-experimental design was used. A total of 55 women with GDM were recruited from Cheil General Hospital, Seoul, Korea and were assigned to an experimental (n=28) or control group (n=27). The participants were 24-30 weeks pregnant women who had been diagnosed with GDM as of July 30, 2010. The program was conducted as a 1 hour small group meeting 3 out of 5 times and by telephone-counseling 2 out of 5 times. The integrated self-management program was verified by an expert panel. Although there was no significant reduction in HbA1c (U= -1.17, p=.238), there were statistically significant increases in self-management (U= -3.80, p<.001) and maternal identity (U= -4.48, p<.001), and decreased 2-h postprandial glucose levels (U= -2.43, p<.015) in the experimental group compared to the control group. These findings suggest that an integrated self-management program for women with GDM improves self-management, maternal identity, and glycemic control. Further studies are needed to identify the effects of an integrated self-management program on pregnancy and neonatal outcomes.

Use of Management Pathways or Algorithms in Children With Chronic Cough: Systematic Reviews.

PubMed

Chang, Anne B; Oppenheimer, John J; Weinberger, Miles; Weir, Kelly; Rubin, Bruce K; Irwin, Richard S

2016-01-01

Use of appropriate cough pathways or algorithms may reduce the morbidity of chronic cough, lead to earlier diagnosis of chronic underlying illness, and reduce unnecessary costs and medications. We undertook three systematic reviews to examine three related key questions (KQ): In children aged ?14 years with chronic cough (> 4 weeks' duration), KQ1, do cough management protocols (or algorithms) improve clinical outcomes? KQ2, should the cough management or testing algorithm differ depending on the duration and/or severity? KQ3, should the cough management or testing algorithm differ depending on the associated characteristics of the cough and clinical history? We used the CHEST expert cough panel's protocol. Two authors screened searches and selected and extracted data. Only systematic reviews, randomized controlled trials (RCTs), and cohort studies published in English were included. Data were presented in Preferred Reporting Items for Systematic Reviews and Meta-analyses flowcharts and summary tabulated. Nine studies were included in KQ1 (RCT = 1; cohort studies = 7) and eight in KQ3 (RCT = 2; cohort = 6), but none in KQ2. There is high-quality evidence that in children aged ?14 years with chronic cough (> 4 weeks' duration), the use of cough management protocols (or algorithms) improves clinical outcomes and cough management or the testing algorithm should differ depending on the associated characteristics of the cough and clinical history. It remains uncertain whether the management or testing algorithm should depend on the duration or severity of chronic cough. Pending new data, chronic cough in children should be defined as > 4 weeks' duration and children should be systematically evaluated with treatment targeted to the underlying cause irrespective of the cough severity. Copyright © 2016 American College of Chest Physicians. All rights reserved.

Deferred discrimination algorithm (nibbling) for target filter management

NASA Astrophysics Data System (ADS)

Caulfield, H. John; Johnson, John L.

1999-07-01

A new method of classifying objects is presented. Rather than trying to form the classifier in one step or in one training algorithm, it is done in a series of small steps, or nibbles. This leads to an efficient and versatile system that is trained in series with single one-shot examples but applied in parallel, is implemented with single layer perceptrons, yet maintains its fully sequential hierarchical structure. Based on the nibbling algorithm, a basic new method of target reference filter management is described.

Comparison of Controller and Flight Deck Algorithm Performance During Interval Management with Dynamic Arrival Trees (STARS)

NASA Technical Reports Server (NTRS)

Battiste, Vernol; Lawton, George; Lachter, Joel; Brandt, Summer; Koteskey, Robert; Dao, Arik-Quang; Kraut, Josh; Ligda, Sarah; Johnson, Walter W.

2012-01-01

Managing the interval between arrival aircraft is a major part of the en route and TRACON controller s job. In an effort to reduce controller workload and low altitude vectoring, algorithms have been developed to allow pilots to take responsibility for, achieve and maintain proper spacing. Additionally, algorithms have been developed to create dynamic weather-free arrival routes in the presence of convective weather. In a recent study we examined an algorithm to handle dynamic re-routing in the presence of convective weather and two distinct spacing algorithms. The spacing algorithms originated from different core algorithms; both were enhanced with trajectory intent data for the study. These two algorithms were used simultaneously in a human-in-the-loop (HITL) simulation where pilots performed weather-impacted arrival operations into Louisville International Airport while also performing interval management (IM) on some trials. The controllers retained responsibility for separation and for managing the en route airspace and some trials managing IM. The goal was a stress test of dynamic arrival algorithms with ground and airborne spacing concepts. The flight deck spacing algorithms or controller managed spacing not only had to be robust to the dynamic nature of aircraft re-routing around weather but also had to be compatible with two alternative algorithms for achieving the spacing goal. Flight deck interval management spacing in this simulation provided a clear reduction in controller workload relative to when controllers were responsible for spacing the aircraft. At the same time, spacing was much less variable with the flight deck automated spacing. Even though the approaches taken by the two spacing algorithms to achieve the interval management goals were slightly different they seem to be simpatico in achieving the interval management goal of 130 sec by the TRACON boundary.

Intergroup conflict management strategies as related to perceptions of dual identity and separate groups.

PubMed

Bizman, Aharon; Yinon, Yoel

2004-04-01

The authors examined the relations between (a) the perceptions of dual identity and separate groups and (b) intergroup conflict management strategies, in two contexts: the conflict between the secular and religious sectors in Israel and the allocation of resources among organizational subunits. In both contexts, contention (i.e., forcing one's will on the other party) was associated with the perception of separate groups. Only in the organizational context, avoidance (i.e., doing nothing or discontinuing participation in the conflict) was associated with the perception of dual identity. Problem solving (i.e., finding a solution that is acceptable to both parties) was related to the perception of dual identity in the secular-religious context. In the organizational context, this relation appeared only under a low perception of separate groups. Yielding (i.e., satisfying the other party's needs at the expense of one's own) was related to the perception of dual identity in the organizational context. In the secular-religious context, this relation appeared only under a high perception of separate groups. The authors discussed the varying pattern of the associations between (a) the perceptions of dual identity and separate groups and (b) the conflict management strategies in the two contexts in terms of the Dual Concern Model and the perceived feasibility of the strategies.

Diversifying Academic and Professional Identities in Higher Education: Some Management Challenges

ERIC Educational Resources Information Center

Whitchurch, Celia; Gordon, George

2010-01-01

This paper draws on an international study of the management challenges arising from diversifying academic and professional identities in higher education. These challenges include, for instance, the introduction of practice-based disciplines with different traditions such as health and social care, the changing aspirations and expectations of…

Management of Central Venous Access Device-Associated Skin Impairment: An Evidence-Based Algorithm.

PubMed

Broadhurst, Daphne; Moureau, Nancy; Ullman, Amanda J

Patients relying on central venous access devices (CVADs) for treatment are frequently complex. Many have multiple comorbid conditions, including renal impairment, nutritional deficiencies, hematologic disorders, or cancer. These conditions can impair the skin surrounding the CVAD insertion site, resulting in an increased likelihood of skin damage when standard CVAD management practices are employed. Supported by the World Congress of Vascular Access (WoCoVA), developed an evidence- and consensus-based algorithm to improve CVAD-associated skin impairment (CASI) identification and diagnosis, guide clinical decision-making, and improve clinician confidence in managing CASI. A scoping review of relevant literature surrounding CASI management was undertaken March 2014, and results were distributed to an international advisory panel. A CASI algorithm was developed by an international advisory panel of clinicians with expertise in wounds, vascular access, pediatrics, geriatric care, home care, intensive care, infection control and acute care, using a 2-phase, modified Delphi technique. The algorithm focuses on identification and treatment of skin injury, exit site infection, noninfectious exudate, and skin irritation/contact dermatitis. It comprised 3 domains: assessment, skin protection, and patient comfort. External validation of the algorithm was achieved by prospective pre- and posttest design, using clinical scenarios and self-reported clinician confidence (Likert scale), and incorporating algorithm feasibility and face validity endpoints. The CASI algorithm was found to significantly increase participants' confidence in the assessment and management of skin injury (P = .002), skin irritation/contact dermatitis (P = .001), and noninfectious exudate (P < .01). A majority of participants reported the algorithm as easy to understand (24/25; 96%), containing all necessary information (24/25; 96%). Twenty-four of 25 (96%) stated that they would recommend the tool to

"I'm Scared of the Disappointment": Young Adult Smokers' Relational Identity Gaps and Management Strategies as Sites of Communication Intervention.

PubMed

Stanley, Samantha J; Pitts, Margaret Jane

2018-02-22

While cigarette smoking is decreasing among young adults, rates of nicotine consumption through other devices, most notably electronic cigarettes, are on the rise. Framed by communication theory of identity, this study examines young adult smokers' experiences with relational others in regard to their smoking. Focus group discussions and individual interviews convened with 20 young adult cigarette and electronic cigarette smokers revealed identity gaps implicating the relational layer of identity, including personal-relational, enacted-relational, and personal-enacted-relational identity gaps. Participants used communicative and behavioral strategies to manage relational discrepancies. The documented identity gaps and management strategies present opportunities for targeted smoking cessation interventions that amplify dissonance created through identity gaps as a motivational tactic.

The Role of Individual Differences and Situational Variables in the Use of Workplace Sexual Identity Management Strategies.

PubMed

Reed, Louren; Leuty, Melanie E

2016-07-01

Examination of individual difference variables have been largely ignored within research on the use of workplace sexual identity management strategies. The current study examined personality traits (extraversion, openness, and neuroticism), facets of sexual identity development (identity confusion, internalized heterosexism), and situational variables (e.g., perceptions of workplace climate and heterosexism) in explaining the use of management strategies, as well as possible interactions between individual and situational factors. Perceptions of the workplace climate toward lesbian and gay individuals significantly related to the use each of the management strategies, and Internalized Heterosexism was found to significantly predict the use of the Explicitly Out strategy. Most interactions between individual difference and situational variables were not supported, with the exception of an interaction between workplace heterosexism and internalized homophobia in explaining the use of the Explicitly Out strategy.

'Even though it's a small checkbox, it's a big deal': stresses and strains of managing sexual identity(s) on Facebook.

PubMed

Rubin, Jennifer D; McClelland, Sara I

2015-01-01

Facebook offers a socialisation context in which young people from ethnic, gender and sexual minorities must continually manage the potential for prejudice and discrimination in the form of homophobia and racism. In-depth interviews were conducted with eight young women, aged 16-19 years, who self-identified as queer and as women of colour. A detailed analysis of these interviews--focusing in particular on how young people described navigating expectations of rejection from family and friends--offered insight into the psychological and health consequences associated with managing sexual identity(s) while online. The 'closet' ultimately takes on new meaning in this virtual space: participants described trying to develop social relationships within Facebook, which demands sharing one's thoughts, behaviours and ideas, while also hiding and silencing their emerging sexuality. In this 'virtual closet', tempering self-presentation to offset social exclusion has become a continuous, yet personally treacherous, activity during the daily practice of using Facebook.

The NSF Cybersecurity Center of Excellence: Translating Identity Management and Cybersecurity into Scientific Collaboration

NASA Astrophysics Data System (ADS)

Welch, V.

2016-12-01

Scientists care deeply about their collaborations: who is a member, who can access, produce, and correct data, and manager instruments critical to their science missions. The communities of cybersecurity and identity management professionals develop tools to support collaborations and the undertaking of trustworthy science, but there are large cultural and linguistic gaps between these communities and the scientists they service. The National Science Foundation has recently funded a NSF Cybersecurity Center of Excellence to help its community of projects by providing leadership and addressing the challenges of trustworthy science. A key goal of this NSF Center has been translating between the goals of the science community into requirements and risks understood by identity management and cybersecurity communities. This talk will give an update on the Center's efforts and other services it provides to the NSF community to bridge these cultures.

The Construction of Early Career Teachers' Identities: Coping or Managing?

ERIC Educational Resources Information Center

Hong, Ji; Day, Christopher; Greene, Barbara

2018-01-01

This paper examines how early career teachers cope with or manage the challenges that they experience during the transition from pre-service to the first and then the second year of teaching as they seek to establish stable, positive, professional identities and teach effectively in various school and policy contexts. Findings from three waves of…

Exploring medical identity theft.

PubMed

Mancilla, Desla; Moczygemba, Jackie

2009-09-16

The crime of medical identity theft is a growing concern in healthcare institutions. A mixed-method study design including a two-stage electronic survey, telephone survey follow-up, and on-site observations was used to evaluate current practices in admitting and registration departments to reduce the occurrence of medical identity theft. Survey participants were chief compliance officers in acute healthcare organizations and members of the Health Care Compliance Association. Study results indicate variance in whether or how patient identity is confirmed in healthcare settings. The findings of this study suggest that information systems need to be designed for more efficient identity management. Admitting and registration staff must be trained, and compliance with medical identity theft policies and procedures must be monitored. Finally, biometric identity management solutions should be considered for stronger patient identification verification.

Survivable algorithms and redundancy management in NASA's distributed computing systems

NASA Technical Reports Server (NTRS)

Malek, Miroslaw

1992-01-01

The design of survivable algorithms requires a solid foundation for executing them. While hardware techniques for fault-tolerant computing are relatively well understood, fault-tolerant operating systems, as well as fault-tolerant applications (survivable algorithms), are, by contrast, little understood, and much more work in this field is required. We outline some of our work that contributes to the foundation of ultrareliable operating systems and fault-tolerant algorithm design. We introduce our consensus-based framework for fault-tolerant system design. This is followed by a description of a hierarchical partitioning method for efficient consensus. A scheduler for redundancy management is introduced, and application-specific fault tolerance is described. We give an overview of our hybrid algorithm technique, which is an alternative to the formal approach given.

An Evaluation of a Flight Deck Interval Management Algorithm Including Delayed Target Trajectories

NASA Technical Reports Server (NTRS)

Swieringa, Kurt A.; Underwood, Matthew C.; Barmore, Bryan; Leonard, Robert D.

2014-01-01

NASA's first Air Traffic Management (ATM) Technology Demonstration (ATD-1) was created to facilitate the transition of mature air traffic management technologies from the laboratory to operational use. The technologies selected for demonstration are the Traffic Management Advisor with Terminal Metering (TMA-TM), which provides precise timebased scheduling in the terminal airspace; Controller Managed Spacing (CMS), which provides controllers with decision support tools enabling precise schedule conformance; and Interval Management (IM), which consists of flight deck automation that enables aircraft to achieve or maintain precise in-trail spacing. During high demand operations, TMA-TM may produce a schedule and corresponding aircraft trajectories that include delay to ensure that a particular aircraft will be properly spaced from other aircraft at each schedule waypoint. These delayed trajectories are not communicated to the automation onboard the aircraft, forcing the IM aircraft to use the published speeds to estimate the target aircraft's estimated time of arrival. As a result, the aircraft performing IM operations may follow an aircraft whose TMA-TM generated trajectories have substantial speed deviations from the speeds expected by the spacing algorithm. Previous spacing algorithms were not designed to handle this magnitude of uncertainty. A simulation was conducted to examine a modified spacing algorithm with the ability to follow aircraft flying delayed trajectories. The simulation investigated the use of the new spacing algorithm with various delayed speed profiles and wind conditions, as well as several other variables designed to simulate real-life variability. The results and conclusions of this study indicate that the new spacing algorithm generally exhibits good performance; however, some types of target aircraft speed profiles can cause the spacing algorithm to command less than optimal speed control behavior.

Development of a simple algorithm to guide the effective management of traumatic cardiac arrest.

PubMed

Lockey, David J; Lyon, Richard M; Davies, Gareth E

2013-06-01

Major trauma is the leading worldwide cause of death in young adults. The mortality from traumatic cardiac arrest remains high but survival with good neurological outcome from cardiopulmonary arrest following major trauma has been regularly reported. Rapid, effective intervention is required to address potential reversible causes of traumatic cardiac arrest if the victim is to survive. Current ILCOR guidelines do not contain a standard algorithm for management of traumatic cardiac arrest. We present a simple algorithm to manage the major trauma patient in actual or imminent cardiac arrest. We reviewed the published English language literature on traumatic cardiac arrest and major trauma management. A treatment algorithm was developed based on this and the experience of treatment of more than a thousand traumatic cardiac arrests by a physician - paramedic pre-hospital trauma service. The algorithm addresses the need treat potential reversible causes of traumatic cardiac arrest. This includes immediate resuscitative thoracotomy in cases of penetrating chest trauma, airway management, optimising oxygenation, correction of hypovolaemia and chest decompression to exclude tension pneumothorax. The requirement to rapidly address a number of potentially reversible pathologies in a short time period lends the management of traumatic cardiac arrest to a simple treatment algorithm. A standardised approach may prevent delay in diagnosis and treatment and improve current poor survival rates. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Algorithm of first-aid management of dental trauma for medics and corpsmen.

PubMed

Zadik, Yehuda

2008-12-01

In order to fill the discrepancy between the necessity of providing prompt and proper treatment to dental trauma patients, and the inadequate knowledge among medics and corpsmen, as well as the lack of instructions in first-aid textbook and manuals, and after reviewing the dental literature, a simple algorithm for non-professional first-aid management for various injuries to hard (teeth) and soft oral tissues, is presented. The recommended management of tooth avulsion, subluxation and luxation, crown fracture and lip, tongue or gingival laceration included in the algorithm. Along with a list of after-hour dental clinics, this symptoms- and clinical-appearance-based algorithm is suited to tuck easily into a pocket for quick utilization by medics/corpsmen in an emergency situation. Although the algorithm was developed for the usage of military non-dental health-care providers, this method could be adjusted and employed in the civilian environment as well.

Exploring Medical Identity Theft

PubMed Central

Mancilla, Desla; Moczygemba, Jackie

2009-01-01

The crime of medical identity theft is a growing concern in healthcare institutions. A mixed-method study design including a two-stage electronic survey, telephone survey follow-up, and on-site observations was used to evaluate current practices in admitting and registration departments to reduce the occurrence of medical identity theft. Survey participants were chief compliance officers in acute healthcare organizations and members of the Health Care Compliance Association. Study results indicate variance in whether or how patient identity is confirmed in healthcare settings. The findings of this study suggest that information systems need to be designed for more efficient identity management. Admitting and registration staff must be trained, and compliance with medical identity theft policies and procedures must be monitored. Finally, biometric identity management solutions should be considered for stronger patient identification verification. PMID:20169017

Hybrid-optimization algorithm for the management of a conjunctive-use project and well field design

USGS Publications Warehouse

Chiu, Yung-Chia; Nishikawa, Tracy; Martin, Peter

2012-01-01

Hi‐Desert Water District (HDWD), the primary water‐management agency in the Warren Groundwater Basin, California, plans to construct a waste water treatment plant to reduce future septic‐tank effluent from reaching the groundwater system. The treated waste water will be reclaimed by recharging the groundwater basin via recharge ponds as part of a larger conjunctive‐use strategy. HDWD wishes to identify the least‐cost conjunctive‐use strategies for managing imported surface water, reclaimed water, and local groundwater. As formulated, the mixed‐integer nonlinear programming (MINLP) groundwater‐management problem seeks to minimize water‐delivery costs subject to constraints including potential locations of the new pumping wells, California State regulations, groundwater‐level constraints, water‐supply demand, available imported water, and pump/recharge capacities. In this study, a hybrid‐optimization algorithm, which couples a genetic algorithm and successive‐linear programming, is developed to solve the MINLP problem. The algorithm was tested by comparing results to the enumerative solution for a simplified version of the HDWD groundwater‐management problem. The results indicate that the hybrid‐optimization algorithm can identify the global optimum. The hybrid‐optimization algorithm is then applied to solve a complex groundwater‐management problem. Sensitivity analyses were also performed to assess the impact of varying the new recharge pond orientation, varying the mixing ratio of reclaimed water and pumped water, and varying the amount of imported water available. The developed conjunctive management model can provide HDWD water managers with information that will improve their ability to manage their surface water, reclaimed water, and groundwater resources.

Hybrid-optimization algorithm for the management of a conjunctive-use project and well field design

USGS Publications Warehouse

Chiu, Yung-Chia; Nishikawa, Tracy; Martin, Peter

2012-01-01

Hi-Desert Water District (HDWD), the primary water-management agency in the Warren Groundwater Basin, California, plans to construct a waste water treatment plant to reduce future septic-tank effluent from reaching the groundwater system. The treated waste water will be reclaimed by recharging the groundwater basin via recharge ponds as part of a larger conjunctive-use strategy. HDWD wishes to identify the least-cost conjunctiveuse strategies for managing imported surface water, reclaimed water, and local groundwater. As formulated, the mixed-integer nonlinear programming (MINLP) groundwater-management problem seeks to minimize water delivery costs subject to constraints including potential locations of the new pumping wells, California State regulations, groundwater-level constraints, water-supply demand, available imported water, and pump/recharge capacities. In this study, a hybrid-optimization algorithm, which couples a genetic algorithm and successive-linear programming, is developed to solve the MINLP problem. The algorithm was tested by comparing results to the enumerative solution for a simplified version of the HDWD groundwater-management problem. The results indicate that the hybrid-optimization algorithm can identify the global optimum. The hybrid-optimization algorithm is then applied to solve a complex groundwater-management problem. Sensitivity analyses were also performed to assess the impact of varying the new recharge pond orientation, varying the mixing ratio of reclaimed water and pumped water, and varying the amount of imported water available. The developed conjunctive management model can provide HDWD water managers with information that will improve their ability to manage their surface water, reclaimed water, and groundwater resources.

Supervisory Power Management Control Algorithms for Hybrid Electric Vehicles. A Survey

DOE PAGES

Malikopoulos, Andreas

2014-03-31

The growing necessity for environmentally benign hybrid propulsion systems has led to the development of advanced power management control algorithms to maximize fuel economy and minimize pollutant emissions. This paper surveys the control algorithms for hybrid electric vehicles (HEVs) and plug-in HEVs (PHEVs) that have been reported in the literature to date. The exposition ranges from parallel, series, and power split HEVs and PHEVs and includes a classification of the algorithms in terms of their implementation and the chronological order of their appearance. Remaining challenges and potential future research directions are also discussed.

When Social Identities Collide: Commentary on "Gender in the Management Education Classroom"

ERIC Educational Resources Information Center

Patton, Eric

2010-01-01

This commentary to "Gender in the Management Education Classroom" (Bilimoria, O'Neil, Hopkins, & Murphy, 2010) employs social identity and self-categorization theory to analyze the incident described in the article. In any MBA classroom, students are dealing with multiple group memberships. Similar to workplace settings, when the focus is on…

An Algorithm-Based Approach for Behavior and Disease Management in Children.

PubMed

Meyer, Beau D; Lee, Jessica Y; Thikkurissy, S; Casamassimo, Paul S; Vann, William F

2018-03-15

Pharmacologic behavior management for dental treatment is an approach to provide invasive yet compassionate care for young children; it can facilitate the treatment of children who otherwise may not cooperate for traditional in-office care. Some recent highly publicized procedural sedation-related tragedies have drawn attention to risks associated with pharmacologic management. However, it remains widely accepted that, by adhering to proper guidelines, procedural sedation can assist in the provision of high-quality dental care while minimizing morbidity and mortality from the procedure. The purpose of this paper was to propose an algorithm for clinicians to consider when selecting a behavior and disease management strategy for early childhood caries. This algorithm will not ensure a positive outcome but can assist clinicians when counseling caregivers about risks, benefits, and alternatives. It also emphasizes and underscores best-safety practices.

An exploration of mothers' and fathers' views of their identities in chronic-kidney-disease management: parents as students?

PubMed

Swallow, Veronica

2008-12-01

To explore parents' views of their identities as they learn to manage their child's chronic kidney disease. Parents are expected to participate in management and usually learn necessary skills from the multidisciplinary team. Research highlights the importance of professionals defining parents' management roles in chronic disease; but little is known about parents' views on their own identities as the complex and dynamic process of teaching and learning unfolds around their child's condition. According to positioning theory, identity development is a dynamic and fluid process that occurs during interaction, with each person positioning themselves while simultaneously positioning the other person, yet this concept has not been considered in relation to parents' contributions to disease management. A longitudinal, grounded theory study conducted in a UK Children's Kidney Unit. This paper focuses on one aspect of a larger study exploring family learning in disease management. Six mothers and two fathers of six children with a recently diagnosed chronic kidney disease participated in a total of 21 semi-structured interviews during the 18 months after referral to the unit. Interviews included discussion about the parts they played in relation to professionals during the management process. Findings were interpreted within a framework of positioning theory. Parents participated in teaching/learning/assessment that was both planned (involving allocated clinical lessons and tasks) and spontaneous (in response to current situations), to facilitate their participation. They positioned multidisciplinary team members as teachers as well as professionals, simultaneously positioning themselves as students as well as parents. Parents' clinical duties and obligations are not an automatic part of parenting but become part of the broader process of sharing disease management, this can lead to them assuming the additional identity of a 'student'. Involving parents in ongoing

Clinical evaluation of pacemaker automatic capture management and atrioventricular interval extension algorithm.

PubMed

Chen, Ke-ping; Xu, Geng; Wu, Shulin; Tang, Baopeng; Wang, Li; Zhang, Shu

2013-03-01

The present study was to assess the accuracy of automatic atrial and ventricular capture management (ACM and VCM) in determining pacing threshold and the performance of a second-generation automatic atrioventricular (AV) interval extension algorithm for reducing unnecessary ventricular pacing. A total of 398 patients at 32 centres who received an EnPulse dual-chamber pacing/dual-chamber adaptive rate pacing pacemaker (Medtronic, Minneapolis, MN, USA) were enrolled. The last amplitude thresholds as measured by ACM and VCM prior to the 6-month follow-up were compared with manually measured thresholds. Device diagnostics were used to evaluate ACM and VCM and the percentage of ventricular pacing with and without the AV extension algorithm. Modelling was performed to assess longevity gains relating to the use of automaticity features. Atrial and ventricular capture management performed accurately and reliably provided complete capture management in 97% of studied patients. The AV interval extension algorithm reduced the median per cent of right ventricular pacing in patients with sinus node dysfunction from 99.7 to 1.5% at 6-month follow-up and in patients with intermittent AV block (excluding persistent 3° AV block) from 99.9 to 50.2%. On the basis of validated modelling, estimated device longevity could potentially be extended by 1.9 years through the use of the capture management and AV interval extension features. Both ACM and VCM features reliably measured thresholds in nearly all patients; the AV extension algorithm significantly reduced ventricular pacing; and the use of pacemaker automaticity features potentially extends device longevity.

Event-driven management algorithm of an Engineering documents circulation system

NASA Astrophysics Data System (ADS)

Kuzenkov, V.; Zebzeev, A.; Gromakov, E.

2015-04-01

Development methodology of an engineering documents circulation system in the design company is reviewed. Discrete event-driven automatic models using description algorithms of project management is offered. Petri net use for dynamic design of projects is offered.

Velocity of climate change algorithms for guiding conservation and management.

PubMed

Hamann, Andreas; Roberts, David R; Barber, Quinn E; Carroll, Carlos; Nielsen, Scott E

2015-02-01

The velocity of climate change is an elegant analytical concept that can be used to evaluate the exposure of organisms to climate change. In essence, one divides the rate of climate change by the rate of spatial climate variability to obtain a speed at which species must migrate over the surface of the earth to maintain constant climate conditions. However, to apply the algorithm for conservation and management purposes, additional information is needed to improve realism at local scales. For example, destination information is needed to ensure that vectors describing speed and direction of required migration do not point toward a climatic cul-de-sac by pointing beyond mountain tops. Here, we present an analytical approach that conforms to standard velocity algorithms if climate equivalents are nearby. Otherwise, the algorithm extends the search for climate refugia, which can be expanded to search for multivariate climate matches. With source and destination information available, forward and backward velocities can be calculated allowing useful inferences about conservation of species (present-to-future velocities) and management of species populations (future-to-present velocities). © 2014 The Authors. Global Change Biology Published by John Wiley & Sons Ltd.

A novel minimum cost maximum power algorithm for future smart home energy management.

PubMed

Singaravelan, A; Kowsalya, M

2017-11-01

With the latest development of smart grid technology, the energy management system can be efficiently implemented at consumer premises. In this paper, an energy management system with wireless communication and smart meter are designed for scheduling the electric home appliances efficiently with an aim of reducing the cost and peak demand. For an efficient scheduling scheme, the appliances are classified into two types: uninterruptible and interruptible appliances. The problem formulation was constructed based on the practical constraints that make the proposed algorithm cope up with the real-time situation. The formulated problem was identified as Mixed Integer Linear Programming (MILP) problem, so this problem was solved by a step-wise approach. This paper proposes a novel Minimum Cost Maximum Power (MCMP) algorithm to solve the formulated problem. The proposed algorithm was simulated with input data available in the existing method. For validating the proposed MCMP algorithm, results were compared with the existing method. The compared results prove that the proposed algorithm efficiently reduces the consumer electricity consumption cost and peak demand to optimum level with 100% task completion without sacrificing the consumer comfort.

Use of standardized multidimensional evaluation tools and the emergence of the case manager's professional identity in France.

PubMed

Nugue, Mathilde; De Stampa, Matthieu; Couturier, Yves; Somme, Dominique

2012-01-01

In France, the national public health plan proposes a group of innovations including the initiation of case management for older adults in complex situations, particularly those with cognitive disorders. In this context, public authorities asked case managers to use a standardized multidimensional evaluation tool. The results of a qualitative study on the pertinence of such a tool relative to the emergence of this new professional field are described. Early use of an evaluation tool seems to be linked to the emergence of a new professional identity for recently recruited case managers. Factors determining the strength of this link are training tool standardization, computerization, and local structure's involvement. Our results contribute to identifying one of the ways by which professional identity can be changed to become a case manager.

Rewriting Dominant Narratives of the Academy: Women Faculty of Color and Identity Management

ERIC Educational Resources Information Center

Motha, Suhanthie; Varghese, Manka M.

2018-01-01

Drawing on Delgado and Yosso's "counterstory," Yosso's "community cultural wealth," and Alsup's "borderland discourses," the authors, who are women of color academics, use narratives from their lives to discuss the ways in which they draw on resources in managing and reconfiguring their multiple identities within the…

Leadership, New Public Management and the Re-Modelling and Regulation of Teacher Identities

ERIC Educational Resources Information Center

Hall, David; Gunter, Helen; Bragg, Joanna

2013-01-01

This article examines the rapidly shifting relationship between teachers and the state and efforts to re-model teacher identities within the wider context of public sector modernization and the New Public Management. The construction and development of officially authorized and normative discursive practices relating to leadership and the…

We're Decent People: Constructing and Managing Family Identity in Rural Workingclass Communities

ERIC Educational Resources Information Center

Kiter Edwards, Margie L.

2004-01-01

Using grounded theory methodology, I establish family identity management as an important type of invisible work that connects women's household-based domestic activities with community members perceptions and treatment of them and their family members. Detailed observations of household routines and family interactions, as well as in-depth…

Application of Harmony Search algorithm to the solution of groundwater management models

NASA Astrophysics Data System (ADS)

Tamer Ayvaz, M.

2009-06-01

This study proposes a groundwater resources management model in which the solution is performed through a combined simulation-optimization model. A modular three-dimensional finite difference groundwater flow model, MODFLOW is used as the simulation model. This model is then combined with a Harmony Search (HS) optimization algorithm which is based on the musical process of searching for a perfect state of harmony. The performance of the proposed HS based management model is tested on three separate groundwater management problems: (i) maximization of total pumping from an aquifer (steady-state); (ii) minimization of the total pumping cost to satisfy the given demand (steady-state); and (iii) minimization of the pumping cost to satisfy the given demand for multiple management periods (transient). The sensitivity of HS algorithm is evaluated by performing a sensitivity analysis which aims to determine the impact of related solution parameters on convergence behavior. The results show that HS yields nearly same or better solutions than the previous solution methods and may be used to solve management problems in groundwater modeling.

An evaluation and implementation of rule-based Home Energy Management System using the Rete algorithm.

PubMed

Kawakami, Tomoya; Fujita, Naotaka; Yoshihisa, Tomoki; Tsukamoto, Masahiko

2014-01-01

In recent years, sensors become popular and Home Energy Management System (HEMS) takes an important role in saving energy without decrease in QoL (Quality of Life). Currently, many rule-based HEMSs have been proposed and almost all of them assume "IF-THEN" rules. The Rete algorithm is a typical pattern matching algorithm for IF-THEN rules. Currently, we have proposed a rule-based Home Energy Management System (HEMS) using the Rete algorithm. In the proposed system, rules for managing energy are processed by smart taps in network, and the loads for processing rules and collecting data are distributed to smart taps. In addition, the number of processes and collecting data are reduced by processing rules based on the Rete algorithm. In this paper, we evaluated the proposed system by simulation. In the simulation environment, rules are processed by a smart tap that relates to the action part of each rule. In addition, we implemented the proposed system as HEMS using smart taps.

Brief Report: The Identity Style Inventory (ISI-3) and the Utrecht-Management of Identity Commitments Scale (U-MICS)--Factor Structure, Reliability, and Convergent Validity in French-Speaking University Students

ERIC Educational Resources Information Center

Zimmermann, Gregoire; Mahaim, Elodie Biermann; Mantzouranis, Gregory; Genoud, Philippe A.; Crocetti, Elisabetta

2012-01-01

The purpose of this study was to evaluate the factor structure and the reliability of the French versions of the Identity Style Inventory (ISI-3) and the Utrecht-Management of Identity Commitments Scale (U-MICS) in a sample of college students (N = 457, 18-25 years old). Confirmatory factor analyses confirmed the hypothesized three-factor solution…

Globus Identity, Access, and Data Management: Platform Services for Collaborative Science

NASA Astrophysics Data System (ADS)

Ananthakrishnan, R.; Foster, I.; Wagner, R.

2016-12-01

Globus is software-as-a-service for research data management, developed at, and operated by, the University of Chicago. Globus, accessible at www.globus.org, provides high speed, secure file transfer; file sharing directly from existing storage systems; and data publication to institutional repositories. 40,000 registered users have used Globus to transfer tens of billions of files totaling hundreds of petabytes between more than 10,000 storage systems within campuses and national laboratories in the US and internationally. Web, command line, and REST interfaces support both interactive use and integration into applications and infrastructures. An important component of the Globus system is its foundational identity and access management (IAM) platform service, Globus Auth. Both Globus research data management and other applications use Globus Auth for brokering authentication and authorization interactions between end-users, identity providers, resource servers (services), and a range of clients, including web, mobile, and desktop applications, and other services. Compliant with important standards such as OAuth, OpenID, and SAML, Globus Auth provides mechanisms required for an extensible, integrated ecosystem of services and clients for the research and education community. It underpins projects such as the US National Science Foundation's XSEDE system, NCAR's Research Data Archive, and the DOE Systems Biology Knowledge Base. Current work is extending Globus services to be compliant with FEDRAMP standards for security assessment, authorization, and monitoring for cloud services. We will present Globus IAM solutions and give examples of Globus use in various projects for federated access to resources. We will also describe how Globus Auth and Globus research data management capabilities enable rapid development and low-cost operations of secure data sharing platforms that leverage Globus services and integrate them with local policy and security.

A planning algorithm for quantifying decentralised water management opportunities in urban environments.

PubMed

Bach, Peter M; McCarthy, David T; Urich, Christian; Sitzenfrei, Robert; Kleidorfer, Manfred; Rauch, Wolfgang; Deletic, Ana

2013-01-01

With global change bringing about greater challenges for the resilient planning and management of urban water infrastructure, research has been invested in the development of a strategic planning tool, DAnCE4Water. The tool models how urban and societal changes impact the development of centralised and decentralised (distributed) water infrastructure. An algorithm for rigorous assessment of suitable decentralised stormwater management options in the model is presented and tested on a local Melbourne catchment. Following detailed spatial representation algorithms (defined by planning rules), the model assesses numerous stormwater options to meet water quality targets at a variety of spatial scales. A multi-criteria assessment algorithm is used to find top-ranking solutions (which meet a specific treatment performance for a user-defined percentage of catchment imperviousness). A toolbox of five stormwater technologies (infiltration systems, surface wetlands, bioretention systems, ponds and swales) is featured. Parameters that set the algorithm's flexibility to develop possible management options are assessed and evaluated. Results are expressed in terms of 'utilisation', which characterises the frequency of use of different technologies across the top-ranking options (bioretention being the most versatile). Initial results highlight the importance of selecting a suitable spatial resolution and providing the model with enough flexibility for coming up with different technology combinations. The generic nature of the model enables its application to other urban areas (e.g. different catchments, local municipal regions or entire cities).

Report: Improvements Needed in CSB’s Identity and Access Management and Incident Response Security Functions

EPA Pesticide Factsheets

Report #18-P-0030, October 30, 2017. Weaknesses in the Identity and Access Management and Incident Response metric domains leave the CSB vulnerable to attacks occurring and not being detected in a timely manner.

An environment-adaptive management algorithm for hearing-support devices incorporating listening situation and noise type classifiers.

PubMed

Yook, Sunhyun; Nam, Kyoung Won; Kim, Heepyung; Hong, Sung Hwa; Jang, Dong Pyo; Kim, In Young

2015-04-01

In order to provide more consistent sound intelligibility for the hearing-impaired person, regardless of environment, it is necessary to adjust the setting of the hearing-support (HS) device to accommodate various environmental circumstances. In this study, a fully automatic HS device management algorithm that can adapt to various environmental situations is proposed; it is composed of a listening-situation classifier, a noise-type classifier, an adaptive noise-reduction algorithm, and a management algorithm that can selectively turn on/off one or more of the three basic algorithms-beamforming, noise-reduction, and feedback cancellation-and can also adjust internal gains and parameters of the wide-dynamic-range compression (WDRC) and noise-reduction (NR) algorithms in accordance with variations in environmental situations. Experimental results demonstrated that the implemented algorithms can classify both listening situation and ambient noise type situations with high accuracies (92.8-96.4% and 90.9-99.4%, respectively), and the gains and parameters of the WDRC and NR algorithms were successfully adjusted according to variations in environmental situation. The average values of signal-to-noise ratio (SNR), frequency-weighted segmental SNR, Perceptual Evaluation of Speech Quality, and mean opinion test scores of 10 normal-hearing volunteers of the adaptive multiband spectral subtraction (MBSS) algorithm were improved by 1.74 dB, 2.11 dB, 0.49, and 0.68, respectively, compared to the conventional fixed-parameter MBSS algorithm. These results indicate that the proposed environment-adaptive management algorithm can be applied to HS devices to improve sound intelligibility for hearing-impaired individuals in various acoustic environments. Copyright © 2014 International Center for Artificial Organs and Transplantation and Wiley Periodicals, Inc.

A High Fuel Consumption Efficiency Management Scheme for PHEVs Using an Adaptive Genetic Algorithm

PubMed Central

Lee, Wah Ching; Tsang, Kim Fung; Chi, Hao Ran; Hung, Faan Hei; Wu, Chung Kit; Chui, Kwok Tai; Lau, Wing Hong; Leung, Yat Wah

2015-01-01

A high fuel efficiency management scheme for plug-in hybrid electric vehicles (PHEVs) has been developed. In order to achieve fuel consumption reduction, an adaptive genetic algorithm scheme has been designed to adaptively manage the energy resource usage. The objective function of the genetic algorithm is implemented by designing a fuzzy logic controller which closely monitors and resembles the driving conditions and environment of PHEVs, thus trading off between petrol versus electricity for optimal driving efficiency. Comparison between calculated results and publicized data shows that the achieved efficiency of the fuzzified genetic algorithm is better by 10% than existing schemes. The developed scheme, if fully adopted, would help reduce over 600 tons of CO2 emissions worldwide every day. PMID:25587974

Advanced Health Management Algorithms for Crew Exploration Applications

NASA Technical Reports Server (NTRS)

Davidson, Matt; Stephens, John; Jones, Judit

2005-01-01

Achieving the goals of the President's Vision for Exploration will require new and innovative ways to achieve reliability increases of key systems and sub-systems. The most prominent approach used in current systems is to maintain hardware redundancy. This imposes constraints to the system and utilizes weight that could be used for payload for extended lunar, Martian, or other deep space missions. A technique to improve reliability while reducing the system weight and constraints is through the use of an Advanced Health Management System (AHMS). This system contains diagnostic algorithms and decision logic to mitigate or minimize the impact of system anomalies on propulsion system performance throughout the powered flight regime. The purposes of the AHMS are to increase the probability of successfully placing the vehicle into the intended orbit (Earth, Lunar, or Martian escape trajectory), increase the probability of being able to safely execute an abort after it has developed anomalous performance during launch or ascent phases of the mission, and to minimize or mitigate anomalies during the cruise portion of the mission. This is accomplished by improving the knowledge of the state of the propulsion system operation at any given turbomachinery vibration protection logic and an overall system analysis algorithm that utilizes an underlying physical model and a wide array of engine system operational parameters to detect and mitigate predefined engine anomalies. These algorithms are generic enough to be utilized on any propulsion system yet can be easily tailored to each application by changing input data and engine specific parameters. The key to the advancement of such a system is the verification of the algorithms. These algorithms will be validated through the use of a database of nominal and anomalous performance from a large propulsion system where data exists for catastrophic and noncatastrophic propulsion sytem failures.

The medical leadership challenge in healthcare is an identity challenge.

PubMed

Andersson, Thomas

2015-01-01

The purpose of this article is to describe and analyse the identity challenges that physicians with medical leadership positions face. Four qualitative case studies were performed to address the fact that identity is processual, relational and situational. Physicians with managerial roles were interviewed, as well as their peers, supervisors and subordinates. Furthermore, observations were made to understand how different identities are displayed in action. This study illustrates that medical leadership implies identity struggles when physicians have manager positions, because of the different characteristics of the social identities of managers and physicians. Major differences are related between physicians as autonomous individuals in a system and managers as subordinates to the organizational system. There are psychological mechanisms that evoke the physician identity more often than the managerial identity among physicians who are managers, which explains why physicians who are managers tend to remain foremost physicians. The implications of the findings, that there are major identity challenges by being both a physician and manager, suggest that managerial physicians might not be the best prerequisite for medical leadership, but instead, cooperative relationships between physicians and non-physician managers might be a less difficult way to support medical leadership. Acknowledging and addressing identity challenges can be important both in creating structures in organizations and designing the training for managers in healthcare (both physicians and non-physicians) to support medical leadership. Medical leadership is most often related to organizational structure and/or leadership skills, but this paper discusses identity requirements and challenges related to medical leadership.

The importance of social identities in the management of and recovery from 'Diabulimia': A qualitative exploration.

PubMed

Hastings, Amy; McNamara, Niamh; Allan, Jacqueline; Marriott, Mike

2016-12-01

A significant barrier to recovery for individuals with co-morbid eating disorders and type 1 diabetes is the way in which group members self-categorise. Nonetheless, identity issues are neglected during the recovery process. The aim of this paper is to explore how group memberships (and the associated identities) both contribute to and hinder recovery in this cohort. Transcripts from five online focus groups with 13 members of an online support group for individuals with 'Diabulimia' were thematically analysed. Findings suggested that those with whom one shares a recovery identity can be well placed to provide psychological resources necessary for successful recovery although such connections can be damaging if group norms are not managed. Members recognised that other important relationships (including family and friends and health professionals) are also key to recovery; these other group memberships (and the associated identities) can be facilitated through the recovery identity group membership, which allows for external validation of the recovery identity, provides encouragement to disclose the illness to supportive others, and provides information to facilitate positive service interactions. While clinical interventions typically focus on eliminating disordered behaviours, we suggest that these should also include strengthening important group memberships that promote recovery.

A novel fair active queue management algorithm based on traffic delay jitter

NASA Astrophysics Data System (ADS)

Wang, Xue-Shun; Yu, Shao-Hua; Dai, Jin-You; Luo, Ting

2009-11-01

In order to guarantee the quantity of data traffic delivered in the network, congestion control strategy is adopted. According to the study of many active queue management (AQM) algorithms, this paper proposes a novel active queue management algorithm named JFED. JFED can stabilize queue length at a desirable level by adjusting output traffic rate and adopting a reasonable calculation of packet drop probability based on buffer queue length and traffic jitter; and it support burst packet traffic through the packet delay jitter, so that it can traffic flow medium data. JFED impose effective punishment upon non-responsible flow with a full stateless method. To verify the performance of JFED, it is implemented in NS2 and is compared with RED and CHOKe with respect to different performance metrics. Simulation results show that the proposed JFED algorithm outperforms RED and CHOKe in stabilizing instantaneous queue length and in fairness. It is also shown that JFED enables the link capacity to be fully utilized by stabilizing the queue length at a desirable level, while not incurring excessive packet loss ratio.

Family support in the transition to adulthood in Portugal--its effects on identity capital development, uncertainty management and psychological well-being.

PubMed

Oliveira, José Egídio; Mendonça, Marina; Coimbra, Susana; Fontaine, Anne Marie

2014-12-01

In a familistic southern European society such as the Portuguese, the family has historically played a prominent role in supporting the negotiation of transition pathways into adulthood. The present study aimed at capturing (1) the relative weight of parental financial support and autonomy support in contributing to the youngsters' psychological well-being (PWB), and (2) the mediating role of identity capital and uncertainty management in this relationship. A total of 620 participants completed measures of parental support, identity capital, uncertainty management and PWB. Autonomy support was found to be the strongest predictor of PWB, both directly and indirectly through its effects on identity capital and the use of target focused uncertainty management strategies. Conversely, financial support evidenced only a minor indirect impact through the mediation of tangible identity capital. Autonomy stimulation may constitute one of the most developmentally determinant family challenges in assisting the process of coming of age in Portugal. Copyright © 2014 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Identity management, negotiation and resistance among women in the sex trade in London, Ontario.

PubMed

Orchard, Treena; Farr, Sara; Macphail, Susan; Wender, Cass; Young, Dawn

2013-01-01

Sex work, and ideas about women in the trade, have long been represented as tragic and/or threatening. However, such portrayals tell us very little about how women think about themselves and the kinds of work they do. The data for this paper come from an ethnographic, community-based study in London, Ontario, that involves women in street-based, indoor and transactional sex work. This discussion focuses on how women develop different individual identities, including the management of multiple selves, their sexual identities and what we have termed the 'good junkie' identity. We also examine how these women employ aspects of dominant representation of sex workers, namely the low status accorded to those in street-based work and the defamatory term 'whore' or 'ho', when negotiating the moral hierarchies that exist within various kinds of sex work (i.e., stripping, massage parlours) and making sense of their professional and personal lives. The work that goes into the creation and maintenance of the women's divergent identities sheds important light on this complicated and tremendously demanding, yet inadequately understood, aspect of life as women in the sex trade.

"Everybody Puts Their Whole Life on Facebook": Identity Management and the Online Social Networks of LGBTQ Youth.

PubMed

McConnell, Elizabeth; Néray, Bálint; Hogan, Bernie; Korpak, Aaron; Clifford, Antonia; Birkett, Michelle

2018-05-26

Lesbian, gay, bisexual, transgender, and queer (LGBTQ) youth and young adults almost inevitably "come out", or self-disclose their identity to others. Some LGBTQ youth are more uniformly "out", while others may disclose to some groups but not others. This selective disclosure is complicated on real name social media sites, which tend to encourage a unified presentation of self across social contexts. We explore these complications with a cohort of LBGTQ youth on Facebook ( N = 199, M age = 24.13). Herein we ask: How do LBGTQ youth manage the disclosure of their sexual orientation and/or gender identity to different people in their lives? Further, are there identifiable differences in the online social network structure for LGBTQ youth who manage outness in different ways? Finally, how do LGBTQ young people describe their experiences on Facebook? We answer these questions using a mixed methods approach, combining statistical cluster analysis, network visualization, and qualitative data. Our findings illustrate patterns in network structure by outness cluster type, highlighting both the work involved in managing one's online identity as well as the costs to (semi-) closeted individuals including a considerably lower overall network connectivity. In particular, outness to family characterized LGBTQ young people's experiences on Facebook.

Distributed autonomous systems: resource management, planning, and control algorithms

NASA Astrophysics Data System (ADS)

Smith, James F., III; Nguyen, ThanhVu H.

2005-05-01

Distributed autonomous systems, i.e., systems that have separated distributed components, each of which, exhibit some degree of autonomy are increasingly providing solutions to naval and other DoD problems. Recently developed control, planning and resource allocation algorithms for two types of distributed autonomous systems will be discussed. The first distributed autonomous system (DAS) to be discussed consists of a collection of unmanned aerial vehicles (UAVs) that are under fuzzy logic control. The UAVs fly and conduct meteorological sampling in a coordinated fashion determined by their fuzzy logic controllers to determine the atmospheric index of refraction. Once in flight no human intervention is required. A fuzzy planning algorithm determines the optimal trajectory, sampling rate and pattern for the UAVs and an interferometer platform while taking into account risk, reliability, priority for sampling in certain regions, fuel limitations, mission cost, and related uncertainties. The real-time fuzzy control algorithm running on each UAV will give the UAV limited autonomy allowing it to change course immediately without consulting with any commander, request other UAVs to help it, alter its sampling pattern and rate when observing interesting phenomena, or to terminate the mission and return to base. The algorithms developed will be compared to a resource manager (RM) developed for another DAS problem related to electronic attack (EA). This RM is based on fuzzy logic and optimized by evolutionary algorithms. It allows a group of dissimilar platforms to use EA resources distributed throughout the group. For both DAS types significant theoretical and simulation results will be presented.

Applicability of an established management algorithm for destructive colon injuries after abbreviated laparotomy: a 17-year experience.

PubMed

Sharpe, John P; Magnotti, Louis J; Weinberg, Jordan A; Shahan, Charles P; Cullinan, Darren R; Marino, Katy A; Fabian, Timothy C; Croce, Martin A

2014-04-01

For more than a decade, operative decisions (resection plus anastomosis vs diversion) for colon injuries, at our institution, have followed a defined management algorithm based on established risk factors (pre- or intraoperative transfusion requirements of more than 6 units packed RBCs and/or presence of significant comorbid diseases). However, this management algorithm was originally developed for patients managed with a single laparotomy. The purpose of this study was to evaluate the applicability of this algorithm to destructive colon injuries after abbreviated laparotomy (AL) and to determine whether additional risk factors should be considered. Consecutive patients over a 17-year period with colon injuries after AL were identified. Nondestructive injuries were managed with primary repair. Destructive wounds were resected at the initial laparotomy followed by either a staged diversion (SD) or a delayed anastomosis (DA) at the subsequent exploration. Outcomes were evaluated to identify additional risk factors in the setting of AL. We identified 149 patients: 33 (22%) patients underwent primary repair at initial exploration, 42 (28%) underwent DA, and 72 (49%) had SD. Two (1%) patients died before re-exploration. Of those undergoing DA, 23 (55%) patients were managed according to the algorithm and 19 (45%) were not. Adherence to the algorithm resulted in lower rates of suture line failure (4% vs 32%, p = 0.03) and colon-related morbidity (22% vs 58%, p = 0.03) for patients undergoing DA. No additional specific risk factors for suture line failure after DA were identified. Adherence to an established algorithm, originally defined for destructive colon injuries after single laparotomy, is likewise efficacious for the management of these injuries in the setting of AL. Copyright © 2014 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Academic Manager or Managed Academic? Academic Identity Schisms in Higher Education

ERIC Educational Resources Information Center

Winter, Richard

2009-01-01

The relationship between values and academic identity has received scant attention in the higher education literature with some notable exceptions (Churchman, 2006; Harley, 2002; Henkel, 2005). This paper contends that the perceived need to align all academics around corporate values and goals has given rise to academic identity schisms in higher…

Intra-abdominal solid organ injuries: an enhanced management algorithm.

PubMed

Kokabi, Nima; Shuaib, Waqas; Xing, Minzhi; Harmouche, Elie; Wilson, Kenneth; Johnson, Jamlik-Omari; Khosa, Faisal

2014-11-01

The organ injury scale grading system proposed by the American Association for the Surgery of Trauma provides guidelines for operative versus nonoperative management in solid organ injuries; however, major shortcomings of the American Association for the Surgery of Trauma injury scale may become apparent with low-grade injuries, in which conservative management may fail. Nonoperative management of common intra-abdominal solid organ injuries relies increasingly on computed tomographic findings and other clinical factors, including patient age, presence of concurrent injuries, and serial clinical assessments. Familiarity with characteristic imaging features is essential for the prompt diagnosis and appropriate treatment of blunt abdominal trauma. In this pictorial essay, the spectrum of the American Association for the Surgery of Trauma organ injury scale grading system is illustrated, and a multidisciplinary management algorithm for common intra-abdominal solid organ injuries is proposed. Copyright © 2014 Canadian Association of Radiologists. Published by Elsevier Inc. All rights reserved.

The String Stability of a Trajectory-Based Interval Management Algorithm in the Midterm Airspace

NASA Technical Reports Server (NTRS)

Swieringa, Kurt A.

2015-01-01

NASA's first Air Traffic Management (ATM) Technology Demonstration (ATD-1) was created to facilitate the transition of mature ATM technologies from the laboratory to operational use. The technologies selected for demonstration are the Traffic Management Advisor with Terminal Metering (TMA-TM), which provides precise time-based scheduling in the terminal airspace; Controller Managed Spacing (CMS), which provides terminal controllers with decision support tools enabling precise schedule conformance; and Interval Management (IM), which consists of flight deck automation that enables aircraft to achieve or maintain a precise spacing interval behind a target aircraft. As the percentage of IM equipped aircraft increases, controllers may provide IM clearances to sequences, or strings, of IM-equipped aircraft. It is important for these strings to maintain stable performance. This paper describes an analytic analysis of the string stability of the latest version of NASA's IM algorithm and a fast-time simulation designed to characterize the string performance of the IM algorithm. The analytic analysis showed that the spacing algorithm has stable poles, indicating that a spacing error perturbation will be reduced as a function of string position. The fast-time simulation investigated IM operations at two airports using constraints associated with the midterm airspace, including limited information of the target aircraft's intended speed profile and limited information of the wind forecast on the target aircraft's route. The results of the fast-time simulation demonstrated that the performance of the spacing algorithm is acceptable for strings of moderate length; however, there is some degradation in IM performance as a function of string position.

Management of tibial non-unions according to a novel treatment algorithm.

PubMed

Ferreira, Nando; Marais, Leonard Charles

2015-12-01

Tibial non-unions represent a spectrum of conditions that are challenging to treat. The optimal management remains unclear despite the frequency with which these diagnoses are encountered. The aim of this study was to determine the outcome of tibial non-unions managed according to a novel tibial non-union treatment algorithm. One hundred and eighteen consecutive patients with 122 uninfected tibial non-unions were treated according to our proposed tibial non-union treatment algorithm. All patients were followed-up clinically and radiologically for a minimum of six months after external fixator removal. Four patients were excluded because they did not complete the intended treatment process. The final study population consisted of 94 men and 24 women with a mean age of 34 years. Sixty-seven non-unions were stiff hypertrophic, 32 mobile atrophic, 16 mobile oligotrophic and one true pseudoarthrosis. Six non-unions were classified as type B1 defect non-unions. Bony union was achieved after the initial surgery in 113/122 (92.6%) tibias. Nine patients had failure of treatment. Seven persistent non-unions were successfully retreated according to the tibial non-union treatment algorithm. This resulted in final bony union in 120/122 (98.3%) tibias. The proposed tibial non-union treatment algorithm appears to produce high union rates across a diverse group of tibial non-unions. Tibial non-unions however, remain difficult to treat and should be referred to specialist units where advanced reconstructive techniques are practiced on a regular basis. Copyright © 2015 Elsevier Ltd. All rights reserved.

SuperIdentity: Fusion of Identity across Real and Cyber Domains

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

Black, Sue; Creese, Sadie; Guest, Richard

Under both benign and malign circumstances, people now manage a spectrum of identities across both real-world and cyber domains. Our belief, however, is that all these instances ultimately track back for an individual to reflect a single 'SuperIdentity'. This paper outlines the assumptions underpinning the SuperIdentity Project, describing the innovative use of data fusion to incorporate novel real-world and cyber cues into a rich framework appropriate for modern identity. The proposed combinatorial model will support a robust identification or authentication decision, with confidence indexed both by the level of trust in data provenance, and the diagnosticity of the identity factorsmore » being used. Additionally, the exploration of correlations between factors may underpin the more intelligent use of identity information so that known information may be used to predict previously hidden information. With modern living supporting the 'distribution of identity' across real and cyber domains, and with criminal elements operating in increasingly sophisticated ways in the hinterland between the two, this approach is suggested as a way forwards, and is discussed in terms of its impact on privacy, security, and the detection of threat.« less

Algorithms for synthesizing management solutions based on OLAP-technologies

NASA Astrophysics Data System (ADS)

Pishchukhin, A. M.; Akhmedyanova, G. F.

2018-05-01

OLAP technologies are a convenient means of analyzing large amounts of information. An attempt was made in their work to improve the synthesis of optimal management decisions. The developed algorithms allow forecasting the needs and accepted management decisions on the main types of the enterprise resources. Their advantage is the efficiency, based on the simplicity of quadratic functions and differential equations of only the first order. At the same time, the optimal redistribution of resources between different types of products from the assortment of the enterprise is carried out, and the optimal allocation of allocated resources in time. The proposed solutions can be placed on additional specially entered coordinates of the hypercube representing the data warehouse.

Issues of E-Learning Standards and Identity Management for Mobility and Collaboration in Higher Education

ERIC Educational Resources Information Center

Alves, Paulo; Uhomoibhi, James

2010-01-01

Purpose: This paper seeks to investigate and report on the status of identity management systems and e-learning standards across Europe for promoting mobility, collaboration and the sharing of contents and services in higher education institutions. Design/methodology/approach: The present research work examines existing e-learning standards and…

Polynomial time blackbox identity testers for depth-3 circuits : the field doesn't matter.

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

Seshadhri, Comandur; Saxena, Nitin

Let C be a depth-3 circuit with n variables, degree d and top fanin k (called {Sigma}{Pi}{Sigma}(k, d, n) circuits) over base field F. It is a major open problem to design a deterministic polynomial time blackbox algorithm that tests if C is identically zero. Klivans & Spielman (STOC 2001) observed that the problem is open even when k is a constant. This case has been subjected to a serious study over the past few years, starting from the work of Dvir & Shpilka (STOC 2005). We give the first polynomial time blackbox algorithm for this problem. Our algorithm runsmore » in time poly(n)d{sup k}, regardless of the base field. The only field for which polynomial time algorithms were previously known is F = Q (Kayal & Saraf, FOCS 2009, and Saxena & Seshadhri, FOCS 2010). This is the first blackbox algorithm for depth-3 circuits that does not use the rank based approaches of Karnin & Shpilka (CCC 2008). We prove an important tool for the study of depth-3 identities. We design a blackbox polynomial time transformation that reduces the number of variables in a {Sigma}{Pi}{Sigma}(k, d, n) circuit to k variables, but preserves the identity structure. Polynomial identity testing (PIT) is a major open problem in theoretical computer science. The input is an arithmetic circuit that computes a polynomial p(x{sub 1}, x{sub 2},..., x{sub n}) over a base field F. We wish to check if p is the zero polynomial, or in other words, is identically zero. We may be provided with an explicit circuit, or may only have blackbox access. In the latter case, we can only evaluate the polynomial p at various domain points. The main goal is to devise a deterministic blackbox polynomial time algorithm for PIT.« less

Patient Privacy, Consent, and Identity Management in Health Information Exchange

PubMed Central

Hosek, Susan D.; Straus, Susan G.

2013-01-01

Abstract The Military Health System (MHS) and the Veterans Health Administration (VHA) have been among the nation's leaders in health information technology (IT), including the development of health IT systems and electronic health records that summarize patients' care from multiple providers. Health IT interoperability within MHS and across MHS partners, including VHA, is one of ten goals in the current MHS Strategic Plan. As a step toward achieving improved interoperability, the MHS is seeking to develop a research roadmap to better coordinate health IT research efforts, address IT capability gaps, and reduce programmatic risk for its enterprise projects. This article contributes to that effort by identifying gaps in research, policy, and practice involving patient privacy, consent, and identity management that need to be addressed to bring about improved quality and efficiency of care through health information exchange. Major challenges include (1) designing a meaningful patient consent procedure, (2) recording patients' consent preferences and designing procedures to implement restrictions on disclosures of protected health information, and (3) advancing knowledge regarding the best technical approaches to performing patient identity matches and how best to monitor results over time. Using a sociotechnical framework, this article suggests steps for overcoming these challenges and topics for future research. PMID:28083296

A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks.

PubMed

Bordel, Borja; Miguel, Carlos; Alcarria, Ramón; Robles, Tomás

2018-03-07

Nowadays, sensor networks are composed of a great number of tiny resource-constraint nodes, whose management is increasingly more complex. In fact, although collaborative or choreographic task execution schemes are which fit in the most perfect way with the nature of sensor networks, they are rarely implemented because of the high resource consumption of these algorithms (especially if networks include many resource-constrained devices). On the contrary, hierarchical networks are usually designed, in whose cusp it is included a heavy orchestrator with a remarkable processing power, being able to implement any necessary management solution. However, although this orchestration approach solves most practical management problems of sensor networks, a great amount of the operation time is wasted while nodes request the orchestrator to address a conflict and they obtain the required instructions to operate. Therefore, in this paper it is proposed a new mechanism for self-managed and choreographed task execution in sensor networks. The proposed solution considers only a lightweight gateway instead of traditional heavy orchestrators and a hardware-supported algorithm, which consume a negligible amount of resources in sensor nodes. The gateway avoids the congestion of the entire sensor network and the hardware-supported algorithm enables a choreographed task execution scheme, so no particular node is overloaded. The performance of the proposed solution is evaluated through numerical and electronic ModelSim-based simulations.

A Hardware-Supported Algorithm for Self-Managed and Choreographed Task Execution in Sensor Networks

PubMed Central

2018-01-01

Nowadays, sensor networks are composed of a great number of tiny resource-constraint nodes, whose management is increasingly more complex. In fact, although collaborative or choreographic task execution schemes are which fit in the most perfect way with the nature of sensor networks, they are rarely implemented because of the high resource consumption of these algorithms (especially if networks include many resource-constrained devices). On the contrary, hierarchical networks are usually designed, in whose cusp it is included a heavy orchestrator with a remarkable processing power, being able to implement any necessary management solution. However, although this orchestration approach solves most practical management problems of sensor networks, a great amount of the operation time is wasted while nodes request the orchestrator to address a conflict and they obtain the required instructions to operate. Therefore, in this paper it is proposed a new mechanism for self-managed and choreographed task execution in sensor networks. The proposed solution considers only a lightweight gateway instead of traditional heavy orchestrators and a hardware-supported algorithm, which consume a negligible amount of resources in sensor nodes. The gateway avoids the congestion of the entire sensor network and the hardware-supported algorithm enables a choreographed task execution scheme, so no particular node is overloaded. The performance of the proposed solution is evaluated through numerical and electronic ModelSim-based simulations. PMID:29518986

Evaluation of syndromic patient management algorithm for urethral discharge.

PubMed

Djajakusumah, T; Sudigdoadi, S; Keersmaekers, K; Meheus, A

1998-06-01

To determine feasibility, validity, and cost effectiveness of the syndromic approach to male patients with urethral discharge in Bandung, Indonesia. The WHO algorithm on urethral discharge with no microscopy available was evaluated. Patients presented with a complaint of urethral discharge and if discharge was confirmed the algorithm was applied. Treatment covered gonococcal and chlamydial infection (ciprofloxacin 500 mg single oral dose plus doxycycline 100 mg, twice daily orally for 7 days). The gold standard for validation was gonococcal culture and chlamydia antigen detection. 140 male patients with a complaint of urethral discharge were enrolled; 119 had confirmed discharge and entered the decision tree: 107 were followed and 104 (97%) were clinically cured. Of the three patients with persistent discharge, one had a purulent urethral discharge, diagnosed as gonococcal urethritis and he was probably reinfected; two patients had a serous discharge and microbiological tests were negative. Overall, 106 out of 107 patients (99%) were microbiologically cured. Sensitivity of the algorithm is 100% and its positive predictive value (PPV) is 75% or 97% if validated against gold standard microbiological tests or Gram stain, respectively. Cost per patient is rupiah (Rp)5.894 ($US2.56) for the algorithm compared with Rp43.024 ($18.70) for full microbiological diagnosis. The cost estimate for an algorithm of urethral discharge with microscopy available is Rp6.432 ($2.80) The "symptom and sign" algorithm is fully adapted to the prevailing situation in primary healthcare settings, is acceptable to healthcare workers and patients (who are effectively treated at their first visit), is highly cost effective, is 100% sensitive (no false negatives, which is not the case with microbiological diagnosis), and has a high PPV, between 75% and 97%. It is an excellent patient management tool and a sound basis for partner notification so that it should have a major impact on STD

Management of patients infected with airborne-spread diseases: an algorithm for infection control professionals.

PubMed

Rebmann, Terri

2005-12-01

Many US hospitals lack the capacity to house safely a surge of potentially infectious patients, increasing the risk of secondary transmission. Respiratory protection and negative-pressure rooms are needed to prevent transmission of airborne-spread diseases, but US hospitals lack available and/or properly functioning negative-pressure rooms. Creating new rooms or retrofitting existing facilities is time-consuming and expensive. Safe methods of managing patients with airborne-spread diseases and establishing temporary negative-pressure and/or protective environments were determined by a literature review. Relevant data were analyzed and synthesized to generate a response algorithm. Ideal patient management and placement guidelines, including instructions for choosing respiratory protection and creating temporary negative-pressure or other protective environments, were delineated. Findings were summarized in a treatment algorithm. The threat of bioterrorism and emerging infections increases health care's need for negative-pressure and/or protective environments. The algorithm outlines appropriate response steps to decrease transmission risk until an ideal protective environment can be utilized. Using this algorithm will prepare infection control professionals to respond more effectively during a surge of potentially infectious patients following a bioterrorism attack or emerging infectious disease outbreak.

Spontaneous Intracranial Hypotension: A Review and Introduction of an Algorithm For Management.

PubMed

Davidson, Benjamin; Nassiri, Farshad; Mansouri, Alireza; Badhiwala, Jetan H; Witiw, Christopher D; Shamji, Mohammed F; Peng, Philip W; Farb, Richard I; Bernstein, Mark

2017-05-01

Spontaneous intracranial hypotension (SIH) is a condition of low cerebrospinal fluid volume and pressure caused by a leak of cerebrospinal fluid through a dural defect. Diagnosis and management can be difficult, often requiring coordination between multiple disciplines for myelography, blood patching, and possible surgical repair. Patients should be monitored closely, because they can deteriorate into a coma or even death. There are no widely accepted guidelines for the management of SIH. We review the existing SIH literature, illustrate management challenges via a case review, and propose an algorithm developed by neurosurgeons, radiologists, and anesthesiologists intended to simplify and streamline the management of SIH. Copyright © 2017 Elsevier Inc. All rights reserved.

Hybrid Genetic Algorithm - Local Search Method for Ground-Water Management

NASA Astrophysics Data System (ADS)

Chiu, Y.; Nishikawa, T.; Martin, P.

2008-12-01

Ground-water management problems commonly are formulated as a mixed-integer, non-linear programming problem (MINLP). Relying only on conventional gradient-search methods to solve the management problem is computationally fast; however, the methods may become trapped in a local optimum. Global-optimization schemes can identify the global optimum, but the convergence is very slow when the optimal solution approaches the global optimum. In this study, we developed a hybrid optimization scheme, which includes a genetic algorithm and a gradient-search method, to solve the MINLP. The genetic algorithm identifies a near- optimal solution, and the gradient search uses the near optimum to identify the global optimum. Our methodology is applied to a conjunctive-use project in the Warren ground-water basin, California. Hi- Desert Water District (HDWD), the primary water-manager in the basin, plans to construct a wastewater treatment plant to reduce future septic-tank effluent from reaching the ground-water system. The treated wastewater instead will recharge the ground-water basin via percolation ponds as part of a larger conjunctive-use strategy, subject to State regulations (e.g. minimum distances and travel times). HDWD wishes to identify the least-cost conjunctive-use strategies that control ground-water levels, meet regulations, and identify new production-well locations. As formulated, the MINLP objective is to minimize water-delivery costs subject to constraints including pump capacities, available recharge water, water-supply demand, water-level constraints, and potential new-well locations. The methodology was demonstrated by an enumerative search of the entire feasible solution and comparing the optimum solution with results from the branch-and-bound algorithm. The results also indicate that the hybrid method identifies the global optimum within an affordable computation time. Sensitivity analyses, which include testing different recharge-rate scenarios, pond

A duality theorem-based algorithm for inexact quadratic programming problems: Application to waste management under uncertainty

NASA Astrophysics Data System (ADS)

Kong, X. M.; Huang, G. H.; Fan, Y. R.; Li, Y. P.

2016-04-01

In this study, a duality theorem-based algorithm (DTA) for inexact quadratic programming (IQP) is developed for municipal solid waste (MSW) management under uncertainty. It improves upon the existing numerical solution method for IQP problems. The comparison between DTA and derivative algorithm (DAM) shows that the DTA method provides better solutions than DAM with lower computational complexity. It is not necessary to identify the uncertain relationship between the objective function and decision variables, which is required for the solution process of DAM. The developed method is applied to a case study of MSW management and planning. The results indicate that reasonable solutions have been generated for supporting long-term MSW management and planning. They could provide more information as well as enable managers to make better decisions to identify desired MSW management policies in association with minimized cost under uncertainty.

Clustering Millions of Faces by Identity.

PubMed

Otto, Charles; Wang, Dayong; Jain, Anil K

2018-02-01

Given a large collection of unlabeled face images, we address the problem of clustering faces into an unknown number of identities. This problem is of interest in social media, law enforcement, and other applications, where the number of faces can be of the order of hundreds of million, while the number of identities (clusters) can range from a few thousand to millions. To address the challenges of run-time complexity and cluster quality, we present an approximate Rank-Order clustering algorithm that performs better than popular clustering algorithms (k-Means and Spectral). Our experiments include clustering up to 123 million face images into over 10 million clusters. Clustering results are analyzed in terms of external (known face labels) and internal (unknown face labels) quality measures, and run-time. Our algorithm achieves an F-measure of 0.87 on the LFW benchmark (13 K faces of 5,749 individuals), which drops to 0.27 on the largest dataset considered (13 K faces in LFW + 123M distractor images). Additionally, we show that frames in the YouTube benchmark can be clustered with an F-measure of 0.71. An internal per-cluster quality measure is developed to rank individual clusters for manual exploration of high quality clusters that are compact and isolated.

Investigation of energy management strategies for photovoltaic systems - A predictive control algorithm

NASA Technical Reports Server (NTRS)

Cull, R. C.; Eltimsahy, A. H.

1983-01-01

The present investigation is concerned with the formulation of energy management strategies for stand-alone photovoltaic (PV) systems, taking into account a basic control algorithm for a possible predictive, (and adaptive) controller. The control system controls the flow of energy in the system according to the amount of energy available, and predicts the appropriate control set-points based on the energy (insolation) available by using an appropriate system model. Aspects of adaptation to the conditions of the system are also considered. Attention is given to a statistical analysis technique, the analysis inputs, the analysis procedure, and details regarding the basic control algorithm.

Balancing Fairness and Efficiency: The Impact of Identity-Blind and Identity-Conscious Accountability on Applicant Screening

PubMed Central

Self, William T.; Mitchell, Gregory; Mellers, Barbara A.; Tetlock, Philip E.; Hildreth, J. Angus D.

2015-01-01

This study compared two forms of accountability that can be used to promote diversity and fairness in personnel selections: identity-conscious accountability (holding decision makers accountable for which groups are selected) versus identity-blind accountability (holding decision makers accountable for making fair selections). In a simulated application screening process, undergraduate participants (majority female) sorted applicants under conditions of identity-conscious accountability, identity-blind accountability, or no accountability for an applicant pool in which white males either did or did not have a human capital advantage. Under identity-conscious accountability, participants exhibited pro-female and pro-minority bias, particularly in the white-male-advantage applicant pool. Under identity-blind accountability, participants exhibited no biases and candidate qualifications dominated interview recommendations. Participants exhibited greater resentment toward management under identity-conscious accountability. PMID:26660723

Online Identities and Social Networking

NASA Astrophysics Data System (ADS)

Maheswaran, Muthucumaru; Ali, Bader; Ozguven, Hatice; Lord, Julien

Online identities play a critical role in the social web that is taking shape on the Internet. Despite many technical proposals for creating and managing online identities, none has received widespread acceptance. Design and implementation of online identities that are socially acceptable on the Internet remains an open problem. This chapter discusses the interplay between online identities and social networking. Online social networks (OSNs) are growing at a rapid pace and has millions of members in them. While the recent trend is to create explicit OSNs such as Facebook and MySpace, we also have implicit OSNs such as interaction graphs created by email and instant messaging services. Explicit OSNs allow users to create profiles and use them to project their identities on the web. There are many interesting identity related issues in the context of social networking including how OSNs help and hinder the definition of online identities.

Is It Ethical for Patents to Be Issued for the Computer Algorithms that Affect Course Management Systems for Distance Learning?

ERIC Educational Resources Information Center

Moreau, Nancy

2008-01-01

This article discusses the impact of patents for computer algorithms in course management systems. Referring to historical documents and court cases, the positive and negative aspects of software patents are presented. The key argument is the accessibility to algorithms comprising a course management software program such as Blackboard. The…

ECG Sensor Card with Evolving RBP Algorithms for Human Verification.

PubMed

Tseng, Kuo-Kun; Huang, Huang-Nan; Zeng, Fufu; Tu, Shu-Yi

2015-08-21

It is known that cardiac and respiratory rhythms in electrocardiograms (ECGs) are highly nonlinear and non-stationary. As a result, most traditional time-domain algorithms are inadequate for characterizing the complex dynamics of the ECG. This paper proposes a new ECG sensor card and a statistical-based ECG algorithm, with the aid of a reduced binary pattern (RBP), with the aim of achieving faster ECG human identity recognition with high accuracy. The proposed algorithm has one advantage that previous ECG algorithms lack-the waveform complex information and de-noising preprocessing can be bypassed; therefore, it is more suitable for non-stationary ECG signals. Experimental results tested on two public ECG databases (MIT-BIH) from MIT University confirm that the proposed scheme is feasible with excellent accuracy, low complexity, and speedy processing. To be more specific, the advanced RBP algorithm achieves high accuracy in human identity recognition and is executed at least nine times faster than previous algorithms. Moreover, based on the test results from a long-term ECG database, the evolving RBP algorithm also demonstrates superior capability in handling long-term and non-stationary ECG signals.

The Normalized-Rate Iterative Algorithm: A Practical Dynamic Spectrum Management Method for DSL

NASA Astrophysics Data System (ADS)

Statovci, Driton; Nordström, Tomas; Nilsson, Rickard

2006-12-01

We present a practical solution for dynamic spectrum management (DSM) in digital subscriber line systems: the normalized-rate iterative algorithm (NRIA). Supported by a novel optimization problem formulation, the NRIA is the only DSM algorithm that jointly addresses spectrum balancing for frequency division duplexing systems and power allocation for the users sharing a common cable bundle. With a focus on being implementable rather than obtaining the highest possible theoretical performance, the NRIA is designed to efficiently solve the DSM optimization problem with the operators' business models in mind. This is achieved with the help of two types of parameters: the desired network asymmetry and the desired user priorities. The NRIA is a centralized DSM algorithm based on the iterative water-filling algorithm (IWFA) for finding efficient power allocations, but extends the IWFA by finding the achievable bitrates and by optimizing the bandplan. It is compared with three other DSM proposals: the IWFA, the optimal spectrum balancing algorithm (OSBA), and the bidirectional IWFA (bi-IWFA). We show that the NRIA achieves better bitrate performance than the IWFA and the bi-IWFA. It can even achieve performance almost as good as the OSBA, but with dramatically lower requirements on complexity. Additionally, the NRIA can achieve bitrate combinations that cannot be supported by any other DSM algorithm.

The Texas Medication Algorithm Project (TMAP) schizophrenia algorithms.

PubMed

Miller, A L; Chiles, J A; Chiles, J K; Crismon, M L; Rush, A J; Shon, S P

1999-10-01

In the Texas Medication Algorithm Project (TMAP), detailed guidelines for medication management of schizophrenia and related disorders, bipolar disorders, and major depressive disorders have been developed and implemented. This article describes the algorithms developed for medication treatment of schizophrenia and related disorders. The guidelines recommend a sequence of medications and discuss dosing, duration, and switch-over tactics. They also specify response criteria at each stage of the algorithm for both positive and negative symptoms. The rationale and evidence for each aspect of the algorithms are presented.

Management algorithms for cervical cancer screening and precancer treatment for resource-limited settings.

PubMed

Basu, Partha; Meheus, Filip; Chami, Youssef; Hariprasad, Roopa; Zhao, Fanghui; Sankaranarayanan, Rengaswamy

2017-07-01

Management algorithms for screen-positive women in cervical cancer prevention programs have undergone substantial changes in recent years. The WHO strongly recommends human papillomavirus (HPV) testing for primary screening, if affordable, or if not, then visual inspection with acetic acid (VIA), and promotes treatment directly following screening through the screen-and-treat approach (one or two clinic visits). While VIA-positive women can be offered immediate ablative treatment based on certain eligibility criteria, HPV-positive women need to undergo subsequent VIA to determine their eligibility. Simpler ablative methods of treatment such as cryotherapy and thermal coagulation have been demonstrated to be effective and to have excellent safety profiles, and these have become integral parts of new management algorithms. The challenges faced by low-resource countries are many and include, from the management perspective, identifying an affordable point-of-care HPV detection test, minimizing over-treatment, and installing an effective information system to ensure high compliance to treatment and follow-up. © 2017 The Authors. International Journal of Gynecology & Obstetrics published by John Wiley & Sons Ltd on behalf of International Federation of Gynecology and Obstetrics.

An evidence-based algorithm for the management of common peroneal nerve injury associated with traumatic knee dislocation

PubMed Central

Samson, Deepak; Ng, Chye Yew; Power, Dominic

2016-01-01

Traumatic knee dislocation is a complex ligamentous injury that may be associated with simultaneous vascular and neurological injury. Although orthopaedic surgeons may consider CPN exploration at the time of ligament reconstruction, there is no standardised approach to the management of this complex and debilitating complication. This review focusses on published evidence of the outcomes of common peroneal nerve (CPN) injuries associated with knee dislocation, and proposes an algorithm for the management. Cite this article: Deepak Samson, Chye Yew Ng, Dominic Power. An evidence-based algorithm for the management of common peroneal nerve injury associated with traumatic knee dislocation. EFORT Open Rev 2016;1:362-367. DOI: 10.1302/2058-5241.160012. PMID:28461914

Entanglement by Path Identity.

PubMed

Krenn, Mario; Hochrainer, Armin; Lahiri, Mayukh; Zeilinger, Anton

2017-02-24

Quantum entanglement is one of the most prominent features of quantum mechanics and forms the basis of quantum information technologies. Here we present a novel method for the creation of quantum entanglement in multipartite and high-dimensional systems. The two ingredients are (i) superposition of photon pairs with different origins and (ii) aligning photons such that their paths are identical. We explain the experimentally feasible creation of various classes of multiphoton entanglement encoded in polarization as well as in high-dimensional Hilbert spaces-starting only from nonentangled photon pairs. For two photons, arbitrary high-dimensional entanglement can be created. The idea of generating entanglement by path identity could also apply to quantum entities other than photons. We discovered the technique by analyzing the output of a computer algorithm. This shows that computer designed quantum experiments can be inspirations for new techniques.

Entanglement by Path Identity

NASA Astrophysics Data System (ADS)

Krenn, Mario; Hochrainer, Armin; Lahiri, Mayukh; Zeilinger, Anton

2017-02-01

Quantum entanglement is one of the most prominent features of quantum mechanics and forms the basis of quantum information technologies. Here we present a novel method for the creation of quantum entanglement in multipartite and high-dimensional systems. The two ingredients are (i) superposition of photon pairs with different origins and (ii) aligning photons such that their paths are identical. We explain the experimentally feasible creation of various classes of multiphoton entanglement encoded in polarization as well as in high-dimensional Hilbert spaces—starting only from nonentangled photon pairs. For two photons, arbitrary high-dimensional entanglement can be created. The idea of generating entanglement by path identity could also apply to quantum entities other than photons. We discovered the technique by analyzing the output of a computer algorithm. This shows that computer designed quantum experiments can be inspirations for new techniques.

Towards Interconnecting the Nordic Identity Federations

ERIC Educational Resources Information Center

Tveter, Walter M.; Melve, Ingrid; Linden, Mikael

2007-01-01

Purpose: This paper aims to outline considerations for trust management between established national identity federations in education and research. It also aims to discuss policy issues related to cross-federation and to compare existing academic identity federations. The paper seeks to investigate Nordic national federations and to introduce the…

Social and psychological creativity in gay male midlife identity management.

PubMed

Hajek, Christopher

2016-06-01

This study utilizes a qualitative thematic analysis methodology and a social identity theory framework to explore ways in which early midlife gay men report enhancing their social identities through social and psychological creativity. Face-to-face, semi-structured interviews were conducted with forty early midlife gay men (aged 40-53) in four US cities. Men discussed the collective and individual essences of their age and gay identities, including attitudes, beliefs, and behaviours that they embraced to self-enhance at midlife. These discussions emphasized differences from the younger gay outgroup, often in the context of intergenerational interaction. Identified were three strategies (and seven substrategies) that summarized the ways that interviewees constructed their identities in the interest of self-enhancement, specifically in the context of intergenerational comparisons with younger gay men. These strategies may be considered as extensions to social creativity strategies presented in Tajfel and Turner's (Psychology of intergroup relations. Chicago, IL: Nelson, 1986: 7) social identity theory. © 2015 The British Psychological Society.

Finding New Math Identities by Computer

NASA Technical Reports Server (NTRS)

Bailey, David H.; Chancellor, Marisa K. (Technical Monitor)

1996-01-01

Recently a number of interesting new mathematical identities have been discovered by means of numerical searches on high performance computers, using some newly discovered algorithms. These include the following: pi = ((sup oo)(sub k=0))(Sigma) (1 / 16) (sup k) ((4 / 8k+1) - (2 / 8k+4) - (1 / 8k+5) - (1 / 8k+6)) and ((17 pi(exp 4)) / 360) = ((sup oo)(sub k=1))(Sigma) (1 + (1/2) + (1/3) + ... + (1/k))(exp 2) k(exp -2), zeta(3, 1, 3, 1, ..., 3, 1) = (2 pi(exp 4m) / (4m+2)! where m = number of (3,1) pairs. and where zeta(n1,n2,...,nr) = (sub k1 (is greater than) k2 (is greater than) ... (is greater than) kr)(Sigma) (1 / (k1 (sup n1) k2 (sup n2) ... kr (sup nr). The first identity is remarkable in that it permits one to compute the n-th binary or hexadecimal digit of pu directly, without computing any of the previous digits, and without using multiple precision arithmetic. Recently the ten billionth hexadecimal digit of pi was computed using this formula. The third identity has connections to quantum field theory. (The first and second of these been formally established; the third is affirmed by numerical evidence only.) The background and results of this work will be described, including an overview of the algorithms and computer techniques used in these studies.

Social identity and worldview validation: the effects of ingroup identity primes and mortality salience on value endorsement.

PubMed

Halloran, Michael J; Kashima, Emiko S

2004-07-01

In this article, the authors report an investigation of the relationship between terror management and social identity processes by testing for the effects of social identity salience on worldview validation. Two studies, with distinct populations, were conducted to test the hypothesis that mortality salience would lead to worldview validation of values related to a salient social identity. In Study 1, reasonable support for this hypothesis was found with bicultural Aboriginal Australian participants (N = 97). It was found that thoughts of death led participants to validate ingroup and reject outgroup values depending on the social identity that had been made salient. In Study 2, when their student and Australian identities were primed, respectively, Anglo-Australian students (N = 119) validated values related to those identities, exclusively. The implications of the findings for identity-based worldview validation are discussed.

Risk management algorithm for rear-side collision avoidance using a combined steering torque overlay and differential braking

NASA Astrophysics Data System (ADS)

Lee, Junyung; Yi, Kyongsu; Yoo, Hyunjae; Chong, Hyokjin; Ko, Bongchul

2015-06-01

This paper describes a risk management algorithm for rear-side collision avoidance. The proposed risk management algorithm consists of a supervisor and a coordinator. The supervisor is designed to monitor collision risks between the subject vehicle and approaching vehicle in the adjacent lane. An appropriate criterion of intervention, which satisfies high acceptance to drivers through the consideration of a realistic traffic, has been determined based on the analysis of the kinematics of the vehicles in longitudinal and lateral directions. In order to assist the driver actively and increase driver's safety, a coordinator is designed to combine lateral control using a steering torque overlay by motor-driven power steering and differential braking by vehicle stability control. In order to prevent the collision while limiting actuator's control inputs and vehicle dynamics to safe values for the assurance of the driver's comfort, the Lyapunov theory and linear matrix inequalities based optimisation methods have been used. The proposed risk management algorithm has been evaluated via simulation using CarSim and MATLAB/Simulink.

Merkel cell carcinoma: An algorithm for multidisciplinary management and decision-making.

PubMed

Prieto, Isabel; Pérez de la Fuente, Teresa; Medina, Susana; Castelo, Beatriz; Sobrino, Beatriz; Fortes, Jose R; Esteban, David; Cassinello, Fernando; Jover, Raquel; Rodríguez, Nuria

2016-02-01

Merkel cell carcinoma (MCC) is a rare and aggressive neuroendocrine tumor of the skin. Therapeutic approach is often unclear, and considerable controversy exists regarding MCC pathogenesis and optimal management. Due to its rising incidence and poor prognosis, it is imperative to establish the optimal therapy for both the tumor and the lymph node basin, and for treatment to include sentinel node biopsy. Sentinel node biopsy is currently the most consistent predictor of survival for MCC patients, although there are conflicting views and a lack of awareness regarding node management. Tumor and node management involve different specialists, and their respective decisions and interventions are interrelated. No effective systemic treatment has been made available to date, and therefore patients continue to experience distant failure, often without local failure. This review aims to improve multidisciplinary decision-making by presenting scientific evidence of the contributions of each team member implicated in MCC management. Following this review of previously published research, the authors conclude that multidisciplinary team management is beneficial for care, and propose a multidisciplinary decision algorithm for managing this tumor. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

XSIM Final Report: Modelling the Past and Future of Identity Management for Scientific Collaborations

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

Cowles, Robert; Jackson, Craig; Welch, Von

The eXtreme Science Identity Management (XSIM1) research project: collected and analyzed real world data on virtual organization (VO) identity management (IdM) representing the last 15+ years of collaborative DOE science; constructed a descriptive VO IdM model based on that data; used the model and existing trends to project the direction for IdM in the 2020 timeframe; and provided guidance to scientific collaborations and resource providers that are implementing or seeking to improve IdM functionality. XSIM conducted over 20 semi­structured interviews of representatives from scientific collaborations and resource providers, both in the US and Europe; the interviewees supported diverse set ofmore » scientific collaborations and disciplines. We developed a definition of “trust,” a key concept in IdM, to understand how varying trust models affect where IdM functions are performed. The model identifies how key IdM data elements are utilized in collaborative scientific workflows, and it has the flexibility to describe past, present and future trust relationships and IdM implementations. During the funding period, we gave more than two dozen presentations to socialize our work, encourage feedback, and improve the model; we also published four refereed papers. Additionally, we developed, presented, and received favorable feedback on three white papers providing practical advice to collaborations and/or resource providers.« less

Algorithm for Management of the Refractive Aerosinusitis Patient.

PubMed

Boston, Andrew G; McMains, K Christopher; Chen, Philip G; Weitzel, Erik K

2018-02-06

For some career military aviators, their ability to continue on flight status is limited by the pressure and pain of aerosinusitis, which is present only while in the flying environment. Failure to treat their disease process can mean the end of their flying careers and the loss of valuable assets trained with taxpayer dollars. Because some medications commonly used in treatment of sinus diseases are not allowed in aviation, this presents a unique problem for their medical management. Surgical treatment must be aimed at treating to symptom relief and not solely disease mitigation. One alternative is operating "beyond the scope of disease" present during a one-atmosphere clinic visit. A case series of nine career aviators with aerosinusitis treated at one academic military Otolaryngology department in a tertiary care facility. Results from a treatment algorithm that balances symptomatology and staged surgical intervention are reviewed. The primary endpoint was return to flight duty. For patients treated according to this algorithm, the mean time to return to flight duty was 3.8 mo, requiring an average of 1.2 surgeries. To date, 100% of career aviators have returned to flight duty using this method. Refractory aerosinusitis represents a potentially career-ending medical condition for the aviator and lost training costs to the taxpayers. Using the treatment algorithm presented, 100% of aviators were able to return to flight duty; a savings of millions of dollars for taxpayers. Future work will focus on modifications to the surgical techniques to reduce the extent of surgery while maintaining satisfactory results. Additional study should be undertaken to assess generalizability of these results in the broader aviation community. © Association of Military Surgeons of the United States 2018. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Evaluation of a fever-management algorithm in a pediatric cancer center in a low-resource setting.

PubMed

Mukkada, Sheena; Smith, Cristel Kate; Aguilar, Delta; Sykes, April; Tang, Li; Dolendo, Mae; Caniza, Miguela A

2018-02-01

In low- and middle-income countries (LMICs), inconsistent or delayed management of fever contributes to poor outcomes among pediatric patients with cancer. We hypothesized that standardizing practice with a clinical algorithm adapted to local resources would improve outcomes. Therefore, we developed a resource-specific algorithm for fever management in Davao City, Philippines. The primary objective of this study was to evaluate adherence to the algorithm. This was a prospective cohort study of algorithm adherence to assess the types of deviation, reasons for deviation, and pathogens isolated. All pediatric oncology patients who were admitted with fever (defined as an axillary temperature  >37.7°C on one occasion or ≥37.4°C on two occasions 1 hr apart) or who developed fever within 48 hr of admission were included. Univariate and multiple linear regression analyses were used to determine the relation between clinical predictors and length of hospitalization. During the study, 93 patients had 141 qualifying febrile episodes. Even though the algorithm was designed locally, deviations occurred in 70 (50%) of 141 febrile episodes on day 0, reflecting implementation barriers at the patient, provider, and institutional levels. There were 259 deviations during the first 7 days of admission in 92 (65%) of 141 patient episodes. Failure to identify high-risk patients, missed antimicrobial doses, and pathogen isolation were associated with prolonged hospitalization. Monitoring algorithm adherence helps in assessing the quality of pediatric oncology care in LMICs and identifying opportunities for improvement. Measures that decrease high-frequency/high-impact algorithm deviations may shorten hospitalizations and improve healthcare use in LMICs. © 2017 Wiley Periodicals, Inc.

Fuel management optimization using genetic algorithms and code independence

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

DeChaine, M.D.; Feltus, M.A.

1994-12-31

Fuel management optimization is a hard problem for traditional optimization techniques. Loading pattern optimization is a large combinatorial problem without analytical derivative information. Therefore, methods designed for continuous functions, such as linear programming, do not always work well. Genetic algorithms (GAs) address these problems and, therefore, appear ideal for fuel management optimization. They do not require derivative information and work well with combinatorial. functions. The GAs are a stochastic method based on concepts from biological genetics. They take a group of candidate solutions, called the population, and use selection, crossover, and mutation operators to create the next generation of bettermore » solutions. The selection operator is a {open_quotes}survival-of-the-fittest{close_quotes} operation and chooses the solutions for the next generation. The crossover operator is analogous to biological mating, where children inherit a mixture of traits from their parents, and the mutation operator makes small random changes to the solutions.« less

One-year results of an algorithmic approach to managing failed back surgery syndrome

PubMed Central

Avellanal, Martín; Diaz-Reganon, Gonzalo; Orts, Alejandro; Soto, Silvia

2014-01-01

BACKGROUND: Failed back surgery syndrome (FBSS) is a major clinical problem. Different etiologies with different incidence rates have been proposed. There are currently no standards regarding the management of these patients. Epiduroscopy is an endoscopic technique that may play a role in the management of FBSS. OBJECTIVE: To evaluate an algorithm for management of severe FBSS including epiduroscopy as a diagnostic and therapeutic tool. METHODS: A total of 133 patients with severe symptoms of FBSS (visual analogue scale score ≥7) and no response to pharmacological treatment and physical therapy were included. A six-step management algorithm was applied. Data, including patient demographics, pain and surgical procedure, were analyzed. In all cases, one or more objective causes of pain were established. Treatment success was defined as ≥50% long-term pain relief maintained during the first year of follow-up. Final allocation of patients was registered: good outcome with conservative treatment, surgical reintervention and palliative treatment with implantable devices. RESULTS: Of 122 patients enrolled, 59.84% underwent instrumented surgery and 40.16% a noninstrumented procedure. Most (64.75%) experienced significant pain relief with conventional pain clinic treatments; 15.57% required surgical treatment. Palliative spinal cord stimulation and spinal analgesia were applied in 9.84% and 2.46% of the cases, respectively. The most common diagnosis was epidural fibrosis, followed by disc herniation, global or lateral stenosis, and foraminal stenosis. CONCLUSIONS: A new six-step ladder approach to severe FBSS management that includes epiduroscopy was analyzed. Etiologies are accurately described and a useful role of epiduroscopy was confirmed. PMID:25222573

Use of Management Pathways or Algorithms in Children With Chronic Cough: CHEST Guideline and Expert Panel Report.

PubMed

Chang, Anne B; Oppenheimer, John J; Weinberger, Miles M; Rubin, Bruce K; Weir, Kelly; Grant, Cameron C; Irwin, Richard S

2017-04-01

Using management algorithms or pathways potentially improves clinical outcomes. We undertook systematic reviews to examine various aspects in the generic approach (use of cough algorithms and tests) to the management of chronic cough in children (aged ≤ 14 years) based on key questions (KQs) using the Population, Intervention, Comparison, Outcome format. We used the CHEST Expert Cough Panel's protocol for the systematic reviews and the American College of Chest Physicians (CHEST) methodological guidelines and Grading of Recommendations Assessment, Development and Evaluation framework. Data from the systematic reviews in conjunction with patients' values and preferences and the clinical context were used to form recommendations. Delphi methodology was used to obtain the final grading. Combining data from systematic reviews addressing five KQs, we found high-quality evidence that a systematic approach to the management of chronic cough improves clinical outcomes. Although there was evidence from several pathways, the highest evidence was from the use of the CHEST approach. However, there was no or little evidence to address some of the KQs posed. Compared with the 2006 Cough Guidelines, there is now high-quality evidence that in children aged ≤ 14 years with chronic cough (> 4 weeks' duration), the use of cough management protocols (or algorithms) improves clinical outcomes, and cough management or testing algorithms should differ depending on the associated characteristics of the cough and clinical history. A chest radiograph and, when age appropriate, spirometry (pre- and post-β 2 agonist) should be undertaken. Other tests should not be routinely performed and undertaken in accordance with the clinical setting and the child's clinical symptoms and signs (eg, tests for tuberculosis when the child has been exposed). Copyright © 2017 American College of Chest Physicians. All rights reserved.

"Managing by Not Managing": How Gay Engineering Students Manage Sexual Orientation Identity

ERIC Educational Resources Information Center

Hughes, Bryce E.

2017-01-01

From a social constructivist paradigm I explored the experiences of 7 openly gay engineering students to understand how, if at all, they made sense of the intersections between their engineering and sexual orientation identities. By eliciting stories through individual and focus group interviews, a narrative approach allowed me to capture the…

Fuzzy-logic based Q-Learning interference management algorithms in two-tier networks

NASA Astrophysics Data System (ADS)

Xu, Qiang; Xu, Zezhong; Li, Li; Zheng, Yan

2017-10-01

Unloading from macrocell network and enhancing coverage can be realized by deploying femtocells in the indoor scenario. However, the system performance of the two-tier network could be impaired by the co-tier and cross-tier interference. In this paper, a distributed resource allocation scheme is studied when each femtocell base station is self-governed and the resource cannot be assigned centrally through the gateway. A novel Q-Learning interference management scheme is proposed, that is divided into cooperative and independent part. In the cooperative algorithm, the interference information is exchanged between the cell-edge users which are classified by the fuzzy logic in the same cell. Meanwhile, we allocate the orthogonal subchannels to the high-rate cell-edge users to disperse the interference power when the data rate requirement is satisfied. The resource is assigned directly according to the minimum power principle in the independent algorithm. Simulation results are provided to demonstrate the significant performance improvements in terms of the average data rate, interference power and energy efficiency over the cutting-edge resource allocation algorithms.

An algorithm to track laboratory zebrafish shoals.

PubMed

Feijó, Gregory de Oliveira; Sangalli, Vicenzo Abichequer; da Silva, Isaac Newton Lima; Pinho, Márcio Sarroglia

2018-05-01

In this paper, a semi-automatic multi-object tracking method to track a group of unmarked zebrafish is proposed. This method can handle partial occlusion cases, maintaining the correct identity of each individual. For every object, we extracted a set of geometric features to be used in the two main stages of the algorithm. The first stage selected the best candidate, based both on the blobs identified in the image and the estimate generated by a Kalman Filter instance. In the second stage, if the same candidate-blob is selected by two or more instances, a blob-partitioning algorithm takes place in order to split this blob and reestablish the instances' identities. If the algorithm cannot determine the identity of a blob, a manual intervention is required. This procedure was compared against a manual labeled ground truth on four video sequences with different numbers of fish and spatial resolution. The performance of the proposed method is then compared against two well-known zebrafish tracking methods found in the literature: one that treats occlusion scenarios and one that only track fish that are not in occlusion. Based on the data set used, the proposed method outperforms the first method in correctly separating fish in occlusion, increasing its efficiency by at least 8.15% of the cases. As for the second, the proposed method's overall performance outperformed the second in some of the tested videos, especially those with lower image quality, because the second method requires high-spatial resolution images, which is not a requirement for the proposed method. Yet, the proposed method was able to separate fish involved in occlusion and correctly assign its identity in up to 87.85% of the cases, without accounting for user intervention. Copyright © 2018 Elsevier Ltd. All rights reserved.

Adolescents at School: Perspectives on Youth, Identity, and Education.

ERIC Educational Resources Information Center

Sadowski, Michael, Ed.

This collection of papers suggests ways to foster the success of all students in schools and classrooms, focusing on the complex, changing identities young people manage while confronting the challenges of school. The papers are: "Introduction: Why Identity Matters at School" (Michael Sadowski); (1) "Identity and Possibility:…

Adherence to a simplified management algorithm reduces morbidity and mortality after penetrating colon injuries: a 15-year experience.

PubMed

Sharpe, John P; Magnotti, Louis J; Weinberg, Jordan A; Parks, Nancy A; Maish, George O; Shahan, Charles P; Fabian, Timothy C; Croce, Martin A

2012-04-01

Our previous experience with colon injuries suggested that operative decisions based on a defined algorithm improve outcomes. The purpose of this study was to evaluate the validity of this algorithm in the face of an increased incidence of destructive injuries observed in recent years. Consecutive patients with full-thickness penetrating colon injuries over an 8-year period were evaluated. Per algorithm, patients with nondestructive injuries underwent primary repair. Those with destructive wounds underwent resection plus anastomosis in the absence of comorbidities or large pre- or intraoperative transfusion requirements (more than 6 units packed RBCs); otherwise they were diverted. Outcomes from the current study (CS group) were compared with those from the previous study (PS group). There were 252 patients who had full-thickness penetrating colon injuries: 150 (60%) patients had nondestructive colon wounds treated with primary repair and 102 patients (40%) had destructive wounds (CS). Demographics and intraoperative transfusions were similar between CS and PS groups. Of the 102 patients with destructive injuries, 75% underwent resection plus anastomosis and 25% underwent diversion. Despite more destructive injuries managed in the CS group (41% vs 27%), abscess rate (18% vs 27%) and colon-related mortality (1% vs 5%) were lower in the CS. Suture line failure was similar in CS compared with PS (5% vs 7%). Adherence to the algorithm was >90% in the CS (similar to PS). Despite an increase in the incidence of destructive colon injuries, our management algorithm remains valid. Destructive injuries associated with pre- or intraoperative transfusion requirements of more than 6 units packed RBCs and/or significant comorbidities are best managed with diversion. By managing the majority of other destructive injuries with resection plus anastomosis, acceptably low morbidity and mortality can be achieved. Copyright © 2012 American College of Surgeons. Published by Elsevier

An Elementary Algorithm for Autonomous Air Terminal Merging and Interval Management

NASA Technical Reports Server (NTRS)

White, Allan L.

2017-01-01

A central element of air traffic management is the safe merging and spacing of aircraft during the terminal area flight phase. This paper derives and examines an algorithm for the merging and interval managing problem for Standard Terminal Arrival Routes. It describes a factor analysis for performance based on the distribution of arrivals, the operating period of the terminal, and the topology of the arrival routes; then presents results from a performance analysis and from a safety analysis for a realistic topology based on typical routes for a runway at Phoenix International Airport. The heart of the safety analysis is a statistical derivation on how to conduct a safety analysis for a local simulation when the safety requirement is given for the entire airspace.

A rate-constrained fast full-search algorithm based on block sum pyramid.

PubMed

Song, Byung Cheol; Chun, Kang-Wook; Ra, Jong Beom

2005-03-01

This paper presents a fast full-search algorithm (FSA) for rate-constrained motion estimation. The proposed algorithm, which is based on the block sum pyramid frame structure, successively eliminates unnecessary search positions according to rate-constrained criterion. This algorithm provides the identical estimation performance to a conventional FSA having rate constraint, while achieving considerable reduction in computation.

Russian guidelines for the management of COPD: algorithm of pharmacologic treatment

PubMed Central

Aisanov, Zaurbek; Avdeev, Sergey; Arkhipov, Vladimir; Belevskiy, Andrey; Chuchalin, Alexander; Leshchenko, Igor; Ovcharenko, Svetlana; Shmelev, Evgeny; Miravitlles, Marc

2018-01-01

The high prevalence of COPD together with its high level of misdiagnosis and late diagnosis dictate the necessity for the development and implementation of clinical practice guidelines (CPGs) in order to improve the management of this disease. High-quality, evidence-based international CPGs need to be adapted to the particular situation of each country or region. A new version of the Russian Respiratory Society guidelines released at the end of 2016 was based on the proposal by Global Initiative for Obstructive Lung Disease but adapted to the characteristics of the Russian health system and included an algorithm of pharmacologic treatment of COPD. The proposed algorithm had to comply with the requirements of the Russian Ministry of Health to be included into the unified electronic rubricator, which required a balance between the level of information and the simplicity of the graphic design. This was achieved by: exclusion of the initial diagnostic process, grouping together the common pharmacologic and nonpharmacologic measures for all patients, and the decision not to use the letters A–D for simplicity and clarity. At all stages of the treatment algorithm, efficacy and safety have to be carefully assessed. Escalation and de-escalation is possible in the case of lack of or insufficient efficacy or safety issues. Bronchodilators should not be discontinued except in the case of significant side effects. At the same time, inhaled corticosteroid (ICS) withdrawal is not represented in the algorithm, because it was agreed that there is insufficient evidence to establish clear criteria for ICSs discontinuation. Finally, based on the Global Initiative for Obstructive Lung Disease statement, the proposed algorithm reflects and summarizes different approaches to the pharmacological treatment of COPD taking into account the reality of health care in the Russian Federation. PMID:29386887

Russian guidelines for the management of COPD: algorithm of pharmacologic treatment.

PubMed

Aisanov, Zaurbek; Avdeev, Sergey; Arkhipov, Vladimir; Belevskiy, Andrey; Chuchalin, Alexander; Leshchenko, Igor; Ovcharenko, Svetlana; Shmelev, Evgeny; Miravitlles, Marc

2018-01-01

The high prevalence of COPD together with its high level of misdiagnosis and late diagnosis dictate the necessity for the development and implementation of clinical practice guidelines (CPGs) in order to improve the management of this disease. High-quality, evidence-based international CPGs need to be adapted to the particular situation of each country or region. A new version of the Russian Respiratory Society guidelines released at the end of 2016 was based on the proposal by Global Initiative for Obstructive Lung Disease but adapted to the characteristics of the Russian health system and included an algorithm of pharmacologic treatment of COPD. The proposed algorithm had to comply with the requirements of the Russian Ministry of Health to be included into the unified electronic rubricator, which required a balance between the level of information and the simplicity of the graphic design. This was achieved by: exclusion of the initial diagnostic process, grouping together the common pharmacologic and nonpharmacologic measures for all patients, and the decision not to use the letters A-D for simplicity and clarity. At all stages of the treatment algorithm, efficacy and safety have to be carefully assessed. Escalation and de-escalation is possible in the case of lack of or insufficient efficacy or safety issues. Bronchodilators should not be discontinued except in the case of significant side effects. At the same time, inhaled corticosteroid (ICS) withdrawal is not represented in the algorithm, because it was agreed that there is insufficient evidence to establish clear criteria for ICSs discontinuation. Finally, based on the Global Initiative for Obstructive Lung Disease statement, the proposed algorithm reflects and summarizes different approaches to the pharmacological treatment of COPD taking into account the reality of health care in the Russian Federation.

Quantum digital-to-analog conversion algorithm using decoherence

NASA Astrophysics Data System (ADS)

SaiToh, Akira

2015-08-01

We consider the problem of mapping digital data encoded on a quantum register to analog amplitudes in parallel. It is shown to be unlikely that a fully unitary polynomial-time quantum algorithm exists for this problem; NP becomes a subset of BQP if it exists. In the practical point of view, we propose a nonunitary linear-time algorithm using quantum decoherence. It tacitly uses an exponentially large physical resource, which is typically a huge number of identical molecules. Quantumness of correlation appearing in the process of the algorithm is also discussed.

Patients' Data Management System Protected by Identity-Based Authentication and Key Exchange.

PubMed

Rivero-García, Alexandra; Santos-González, Iván; Hernández-Goya, Candelaria; Caballero-Gil, Pino; Yung, Moti

2017-03-31

A secure and distributed framework for the management of patients' information in emergency and hospitalization services is proposed here in order to seek improvements in efficiency and security in this important area. In particular, confidentiality protection, mutual authentication, and automatic identification of patients are provided. The proposed system is based on two types of devices: Near Field Communication (NFC) wristbands assigned to patients, and mobile devices assigned to medical staff. Two other main elements of the system are an intermediate server to manage the involved data, and a second server with a private key generator to define the information required to protect communications. An identity-based authentication and key exchange scheme is essential to provide confidential communication and mutual authentication between the medical staff and the private key generator through an intermediate server. The identification of patients is carried out through a keyed-hash message authentication code. Thanks to the combination of the aforementioned tools, a secure alternative mobile health (mHealth) scheme for managing patients' data is defined for emergency and hospitalization services. Different parts of the proposed system have been implemented, including mobile application, intermediate server, private key generator and communication channels. Apart from that, several simulations have been performed, and, compared with the current system, significant improvements in efficiency have been observed.

Toward "pain-free" statin prescribing: clinical algorithm for diagnosis and management of myalgia.

PubMed

Jacobson, Terry A

2008-06-01

Myalgia, which often manifests as pain or soreness in skeletal muscles, is among the most salient adverse events associated with 3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors (statins). Clinical issues related to statin-associated myotoxicity include (1) incidence in randomized controlled trials and occurrence in postmarketing surveillance databases; (2) potential differences between statins in their associations with such adverse events; and (3) diagnostic and treatment strategies to prevent, recognize, and manage these events. Data from systematic reviews, meta-analyses, clinical and observational trials, and post-marketing surveillance indicate that statin-associated myalgia typically affects approximately 5.0% of patients, as myopathy in 0.1% and as rhabdomyolysis in 0.01%. However, studies also suggest that myalgia is among the leading reasons patients discontinue statins (particularly high-dose statin monotherapy) and that treatment with certain statins (eg, fluvastatin) is unlikely to result in such adverse events. This review presents a clinical algorithm for monitoring and managing statin-associated myotoxicity. The algorithm highlights risk factors for muscle toxicity and provides recommendations for (1) creatine kinase measurements and monitoring; (2) statin dosage reduction, discontinuation, and rechallenge; and (3) treatment alternatives, such as extended-release fluvastatin with or without ezetimibe, low-dose or alternate-day rosuvastatin, or ezetimibe with or without colesevelam. The algorithm should help to inform and enhance patient care and reduce the risk of myalgia and other potentially treatment-limiting muscle effects that might undermine patient adherence and compromise the overall cardioprotective benefits of statins.

Identity Formation in Career Development for Gifted Women.

ERIC Educational Resources Information Center

Phelps, Christine E.

1991-01-01

Necessary developmental tasks concerned with identity development of gifted college women include developing competence, managing emotions, developing autonomy, establishing identity, freeing interpersonal relationships, developing purpose, and developing integrity. These issues may be used as counseling interventions to raise career aspirations.…

Tools for Understanding Identity

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

Creese, Sadie; Gibson-Robinson, Thomas; Goldsmith, Michael

to take into account the difficulty of the inferences, allowing the user to consider different scenarios depending on the perceived resources of the attacker, or to prioritize lines of investigation. It also has a number of interesting visualizations that are designed to aid the user in understanding the model. The tool works by considering the inferences as a graph and runs various graph-theoretic algorithms, with some novel adaptations, in order to deduce various properties. Using the Model To help investigators exploit the model to perform identity attribution, we have developed the Identity Map visualization. For a user-provided set of known starting elements and a set of desired target elements for a given identity, the Identity Map generates investigative workflows as paths through the model. Each path consists of a series of elements and inferences between them that connect the input and output elements. Each path also has an associated confidence level that estimates the reliability of the resulting attribution. Identity Map can help investigators understand the possible ways to make an identification decision and guide them toward the data-collection or analysis steps required to reach that decision.« less

Solving Large-scale Spatial Optimization Problems in Water Resources Management through Spatial Evolutionary Algorithms

NASA Astrophysics Data System (ADS)

Wang, J.; Cai, X.

2007-12-01

A water resources system can be defined as a large-scale spatial system, within which distributed ecological system interacts with the stream network and ground water system. Water resources management, the causative factors and hence the solutions to be developed have a significant spatial dimension. This motivates a modeling analysis of water resources management within a spatial analytical framework, where data is usually geo- referenced and in the form of a map. One of the important functions of Geographic information systems (GIS) is to identify spatial patterns of environmental variables. The role of spatial patterns in water resources management has been well established in the literature particularly regarding how to design better spatial patterns for satisfying the designated objectives of water resources management. Evolutionary algorithms (EA) have been demonstrated to be successful in solving complex optimization models for water resources management due to its flexibility to incorporate complex simulation models in the optimal search procedure. The idea of combining GIS and EA motivates the development and application of spatial evolutionary algorithms (SEA). SEA assimilates spatial information into EA, and even changes the representation and operators of EA. In an EA used for water resources management, the mathematical optimization model should be modified to account the spatial patterns; however, spatial patterns are usually implicit, and it is difficult to impose appropriate patterns to spatial data. Also it is difficult to express complex spatial patterns by explicit constraints included in the EA. The GIS can help identify the spatial linkages and correlations based on the spatial knowledge of the problem. These linkages are incorporated in the fitness function for the preference of the compatible vegetation distribution. Unlike a regular GA for spatial models, the SEA employs a special hierarchical hyper-population and spatial genetic operators

Staying in the Hood: Black Lesbian and Transgender Women and Identity Management in North Philadelphia.

PubMed

Brooks, Siobhan

2016-12-01

The concept Don't Ask, Don't Tell regarding Black LGBT sexuality in Black communities has been an acceptable form of identity management for Black LGBT people. In other words, Black LGBT people are accepted as long as they are not vocal about their sexuality. However, this is changing with the issue of gay marriage, which is creating a space where Black LGBT people are more open about their gender identity and sexuality in heterosexual Black spaces. This new form of openness allows Black LGBT people to "stay in" their communities, as opposed to coming out. In this article I examine how Black LGBT women in North Philadelphia stay in their communities: being politically active regarding LGBT issues, disengaging from LGBT issues, passing, and educating straight Black people about issues affecting the Black LGBT community. I conclude with implications of staying in and intersectionality among Black heterosexual and LGBT women fighting for social change.

Algorithms for the assessment and management of insomnia in primary care

PubMed Central

Hilty, Donald; Young, Julie S; Bourgeois, James A; Klein, Sally; Hardin, Kimberly A

2009-01-01

Insomnia is a leading cause of sleep disturbance in primary care practice affecting >30% of people in the United States and can result in psychological and physiological consequences. We aim for a focused discussion of some of the underpinnings of insomnia and practical tips for management (eg, algorithms). A PubMed search was conducted using English language papers between 1997–2007, with the terms “sleep,” “insomnia”; “primary care” and “clinics”; “comorbid conditions”; “treatment” and “management.” Sleep, psychiatric and medical disorders significantly affect sleep, causing patient suffering, potentially worsening of other disorders and increasing the use of primary care services. We provide an outline for practical assessment and treatment of insomnia in primary care, including the strengths and weaknesses of medications. PMID:19936140

Identity Management and Mental Health Discourse in Social Media

PubMed Central

Pavalanathan, Umashanthi; De Choudhury, Munmun

2015-01-01

Social media is increasingly being adopted in health discourse. We examine the role played by identity in supporting discourse on socially stigmatized conditions. Specifically, we focus on mental health communities on reddit. We investigate the characteristics of mental health discourse manifested through reddit's characteristic ‘throwaway’ accounts, which are used as proxies of anonymity. For the purpose, we propose affective, cognitive, social, and linguistic style measures, drawing from literature in psychology. We observe that mental health discourse from throwaways is considerably disinhibiting and exhibits increased negativity, cognitive bias and self-attentional focus, and lowered self-esteem. Throwaways also seem to be six times more prevalent as an identity choice on mental health forums, compared to other reddit communities. We discuss the implications of our work in guiding mental health interventions, and in the design of online communities that can better cater to the needs of vulnerable populations. We conclude with thoughts on the role of identity manifestation on social media in behavioral therapy. PMID:27376158

Identity Management and Mental Health Discourse in Social Media.

PubMed

Pavalanathan, Umashanthi; De Choudhury, Munmun

2015-05-01

Social media is increasingly being adopted in health discourse. We examine the role played by identity in supporting discourse on socially stigmatized conditions. Specifically, we focus on mental health communities on reddit. We investigate the characteristics of mental health discourse manifested through reddit's characteristic 'throwaway' accounts, which are used as proxies of anonymity. For the purpose, we propose affective, cognitive, social, and linguistic style measures, drawing from literature in psychology. We observe that mental health discourse from throwaways is considerably disinhibiting and exhibits increased negativity, cognitive bias and self-attentional focus, and lowered self-esteem. Throwaways also seem to be six times more prevalent as an identity choice on mental health forums, compared to other reddit communities. We discuss the implications of our work in guiding mental health interventions, and in the design of online communities that can better cater to the needs of vulnerable populations. We conclude with thoughts on the role of identity manifestation on social media in behavioral therapy.

Simple geometric algorithms to aid in clearance management for robotic mechanisms

NASA Technical Reports Server (NTRS)

Copeland, E. L.; Ray, L. D.; Peticolas, J. D.

1981-01-01

Global geometric shapes such as lines, planes, circles, spheres, cylinders, and the associated computational algorithms which provide relatively inexpensive estimates of minimum spatial clearance for safe operations were selected. The Space Shuttle, remote manipulator system, and the Power Extension Package are used as an example. Robotic mechanisms operate in quarters limited by external structures and the problem of clearance is often of considerable interest. Safe clearance management is simple and suited to real time calculation, whereas contact prediction requires more precision, sophistication, and computational overhead.

Identity related to living situation in six individuals with congenital quadriplegia.

PubMed

Robey, Kenneth L

2008-01-01

This study was a preliminary examination of structural aspects of identity, particularly identity associated with living situation, in individuals who have quadriplegia due to cerebral palsy. A hierarchical classes algorithm (HICLAS) was used to construct idiographic 'identity structure' models for three individuals who are living in an inpatient hospital setting and for three individuals living in community-based group residences. Indices derived from the models indicate that the identity 'myself as one who has a disability' was structurally superordinate (i.e., resided at a high hierarchical level) for all six participants, suggesting a high level of importance of this identity in participants' sense of self. The models also indicate that while identity associated with one's particular living situation was superordinate for persons living in the hospital, it was not for persons living in community residences. While conclusions based on this small sample are necessarily limited, the data suggest that identity associated with living situation might differ in structural centrality, and presumably subjective importance, for persons living in inpatient versus community-based settings.

A qualitative investigation of masculine identity after traumatic brain injury.

PubMed

MacQueen, Ruth; Fisher, Paul; Williams, Deirdre

2018-04-30

Men are twice as likely as women to experience a traumatic brain injury (TBI), suggesting that aspects of masculine identity contribute to how people acquire their brain injuries. Research also suggests that masculine identity impacts on how people manage their health experiences. The current study aimed to explore the experience of masculine identity following TBI. Individual interviews were conducted with 10 men aged 21-67 years who had experienced a TBI. All were living in the community. Interpretative phenomenological analysis was used to consider lived experiences and to explore the meaning of the TBI experience in relation to masculine identity. Three superordinate themes emerged from the analysis: doing life and relationships differently, self-perceptions and the perceived view of others, and managing the impact of TBI as a man. These themes are considered in relation to how participants' experiences interacted with dominant social ideals of masculine identity. The findings highlighted how masculine identity may be a valuable aspect of self in considering threats to and reconstruction of self-identity after TBI. Aspects of gender identity should be considered in order to promote engagement, support adjustment and achieve meaningful outcomes in rehabilitation.

Relationship between self-confidence and sex role identity among managerial women and men.

PubMed

Chusmir, L H; Koberg, C S

1991-12-01

The self-confidence and sex role identities of 437 American female and male managers were examined by using three subscales of the Adjective Check List. Results showed that, contrary to stereotypes and older research, female and male managers were strikingly similar. Women and men with cross-sex role identities showed lower levels of self-confidence than those did with androgynous orientations; high self-confidence was linked with masculine and androgynous orientations. The managers were not significantly different in self-confidence when demographic variables and sex role identity were held constant. Sex role identity (but not gender) was a major factor in the level of self-confidence.

Algorithms for optimizing cross-overs in DNA shuffling.

PubMed

He, Lu; Friedman, Alan M; Bailey-Kellogg, Chris

2012-03-21

DNA shuffling generates combinatorial libraries of chimeric genes by stochastically recombining parent genes. The resulting libraries are subjected to large-scale genetic selection or screening to identify those chimeras with favorable properties (e.g., enhanced stability or enzymatic activity). While DNA shuffling has been applied quite successfully, it is limited by its homology-dependent, stochastic nature. Consequently, it is used only with parents of sufficient overall sequence identity, and provides no control over the resulting chimeric library. This paper presents efficient methods to extend the scope of DNA shuffling to handle significantly more diverse parents and to generate more predictable, optimized libraries. Our CODNS (cross-over optimization for DNA shuffling) approach employs polynomial-time dynamic programming algorithms to select codons for the parental amino acids, allowing for zero or a fixed number of conservative substitutions. We first present efficient algorithms to optimize the local sequence identity or the nearest-neighbor approximation of the change in free energy upon annealing, objectives that were previously optimized by computationally-expensive integer programming methods. We then present efficient algorithms for more powerful objectives that seek to localize and enhance the frequency of recombination by producing "runs" of common nucleotides either overall or according to the sequence diversity of the resulting chimeras. We demonstrate the effectiveness of CODNS in choosing codons and allocating substitutions to promote recombination between parents targeted in earlier studies: two GAR transformylases (41% amino acid sequence identity), two very distantly related DNA polymerases, Pol X and β (15%), and beta-lactamases of varying identity (26-47%). Our methods provide the protein engineer with a new approach to DNA shuffling that supports substantially more diverse parents, is more deterministic, and generates more predictable

Is Identical Really Identical? An Investigation of Equivalency Theory and Online Learning

ERIC Educational Resources Information Center

Lapsley, Ruth; Kulik, Brian; Moody, Rex; Arbaugh, J. B.

2008-01-01

This study investigates the validity of equivalency theory among 63 students by comparing two introductory upper-division human resource management courses: one taught online, the other in a traditional classroom. Commonalities included same term, same professor, and identical assignments/tests in the same order, thus allowing a direct comparison…

Patients’ Data Management System Protected by Identity-Based Authentication and Key Exchange

PubMed Central

Rivero-García, Alexandra; Santos-González, Iván; Hernández-Goya, Candelaria; Caballero-Gil, Pino; Yung, Moti

2017-01-01

A secure and distributed framework for the management of patients’ information in emergency and hospitalization services is proposed here in order to seek improvements in efficiency and security in this important area. In particular, confidentiality protection, mutual authentication, and automatic identification of patients are provided. The proposed system is based on two types of devices: Near Field Communication (NFC) wristbands assigned to patients, and mobile devices assigned to medical staff. Two other main elements of the system are an intermediate server to manage the involved data, and a second server with a private key generator to define the information required to protect communications. An identity-based authentication and key exchange scheme is essential to provide confidential communication and mutual authentication between the medical staff and the private key generator through an intermediate server. The identification of patients is carried out through a keyed-hash message authentication code. Thanks to the combination of the aforementioned tools, a secure alternative mobile health (mHealth) scheme for managing patients’ data is defined for emergency and hospitalization services. Different parts of the proposed system have been implemented, including mobile application, intermediate server, private key generator and communication channels. Apart from that, several simulations have been performed, and, compared with the current system, significant improvements in efficiency have been observed. PMID:28362328

Identity Formation in Adolescents from Italian, Mixed, and Migrant Families

ERIC Educational Resources Information Center

Crocetti, Elisabetta; Fermani, Alessandra; Pojaghi, Barbara; Meeus, Wim

2011-01-01

The purpose of this study was to compare identity formation in adolescents from Italian (n = 261), mixed (n = 100), and migrant families (n =148). Participants completed the Italian version of the Utrecht-Management of Identity Commitments Scale that assesses identity processes in educational and relational domains. Within a variable-centered…

Preliminary test results of a flight management algorithm for fuel conservative descents in a time based metered traffic environment. [flight tests of an algorithm to minimize fuel consumption of aircraft based on flight time

NASA Technical Reports Server (NTRS)

Knox, C. E.; Cannon, D. G.

1979-01-01

A flight management algorithm designed to improve the accuracy of delivering the airplane fuel efficiently to a metering fix at a time designated by air traffic control is discussed. The algorithm provides a 3-D path with time control (4-D) for a test B 737 airplane to make an idle thrust, clean configured descent to arrive at the metering fix at a predetermined time, altitude, and airspeed. The descent path is calculated for a constant Mach/airspeed schedule from linear approximations of airplane performance with considerations given for gross weight, wind, and nonstandard pressure and temperature effects. The flight management descent algorithms and the results of the flight tests are discussed.

Spanning Professional and Academic: The Changing Identity of Professional Administrators and Managers in Hong Kong's Higher Education Context

ERIC Educational Resources Information Center

Cheng, Tak-Iak

2017-01-01

This paper builds on Whitchurch's notion of the "blended professional" which aims to examine how mixed professional activity affects professional administrators and managers' identity disposition in universities in Hong Kong. In response to complex missions and demands of contemporary higher education globally, diverse projected-oriented…

Minimal-scan filtered backpropagation algorithms for diffraction tomography.

PubMed

Pan, X; Anastasio, M A

1999-12-01

The filtered backpropagation (FBPP) algorithm, originally developed by Devaney [Ultrason. Imaging 4, 336 (1982)], has been widely used for reconstructing images in diffraction tomography. It is generally known that the FBPP algorithm requires scattered data from a full angular range of 2 pi for exact reconstruction of a generally complex-valued object function. However, we reveal that one needs scattered data only over the angular range 0 < or = phi < or = 3 pi/2 for exact reconstruction of a generally complex-valued object function. Using this insight, we develop and analyze a family of minimal-scan filtered backpropagation (MS-FBPP) algorithms, which, unlike the FBPP algorithm, use scattered data acquired from view angles over the range 0 < or = phi < or = 3 pi/2. We show analytically that these MS-FBPP algorithms are mathematically identical to the FBPP algorithm. We also perform computer simulation studies for validation, demonstration, and comparison of these MS-FBPP algorithms. The numerical results in these simulation studies corroborate our theoretical assertions.

Current management of male-to-female gender identity disorder in the UK.

PubMed

Tugnet, Nicola; Goddard, Jonathan Charles; Vickery, Richard M; Khoosal, Deenesh; Terry, Tim R

2007-10-01

Gender identity disorder (GID), or transsexualism as it is more commonly known, is a highly complex clinical entity. Although the exact aetiology of GID is unknown, several environmental, genetic and anatomical theories have been described. The diagnosis of GID can be a difficult process but is established currently using standards of care as defined by the Harry Benjamin International Gender Dysphoria Association. Patients go through extensive psychiatric assessment, including the Real Life Experience, which entails living in the desired gender role 24 h a day for a minimum period of 12 months. The majority of GID patients will eventually go on to have gender realignment surgery, which includes feminising genitoplasty. The clinical features, diagnostic approach and management of male-to-female GID in the UK are reviewed, including the behavioural, psychological and surgical aspects.

An Efficient Identity-Based Key Management Scheme for Wireless Sensor Networks Using the Bloom Filter

PubMed Central

Qin, Zhongyuan; Zhang, Xinshuai; Feng, Kerong; Zhang, Qunfang; Huang, Jie

2014-01-01

With the rapid development and widespread adoption of wireless sensor networks (WSNs), security has become an increasingly prominent problem. How to establish a session key in node communication is a challenging task for WSNs. Considering the limitations in WSNs, such as low computing capacity, small memory, power supply limitations and price, we propose an efficient identity-based key management (IBKM) scheme, which exploits the Bloom filter to authenticate the communication sensor node with storage efficiency. The security analysis shows that IBKM can prevent several attacks effectively with acceptable computation and communication overhead. PMID:25264955

Claims and Identity: On-Premise and Cloud Solutions

NASA Astrophysics Data System (ADS)

Bertocci, Vittorio

Today's identity-management practices are often a patchwork of partial solutions, which somehow accommodate but never really integrate applications and entities separated by technology and organizational boundaries. The rise of Software as a Service (SaaS) and cloud computing, however, will force organizations to cross such boundaries so often that ad hoc solutions will simply be untenable. A new approach that tears down identity silos and supports a de-perimiterized IT by design is in order.This article will walk you through the principles of claims-based identity management, a model which addresses both traditional and cloud scenarios with the same efficacy. We will explore the most common token exchange patterns, highlighting the advantages and opportunities they offer when applied on cloud computing solutions and generic distributed systems.

Identity Management Systems in Healthcare: The Issue of Patient Identifiers

NASA Astrophysics Data System (ADS)

Soenens, Els

According to a recent recommendation of the European Commission, now is the time for Europe to enhance interoperability in eHealth. Although interoperability of patient identifiers seems promising for matters of patient mobility, patient empowerment and effective access to care, we see that today there is indeed a considerable lack of interoperability in the field of patient identification. Looking from a socio-technical rather than a merely technical point of view, one can understand the fact that the development and implementation of an identity management system in a specific healthcare context is influenced by particular social practices, affected by socio-economical history and the political climate and regulated by specific data protection legislations. Consequently, the process of making patient identification in Europe more interoperable is a development beyond semantic and syntactic levels. In this paper, we gives some examples of today’s patient identifier systems in Europe, discuss the issue of interoperability of (unique) patient identifiers from a socio-technical point of view and try not to ignore the ‘privacy side’ of the story.

A smartphone-based pain management app for adolescents with cancer: establishing system requirements and a pain care algorithm based on literature review, interviews, and consensus.

PubMed

Jibb, Lindsay A; Stevens, Bonnie J; Nathan, Paul C; Seto, Emily; Cafazzo, Joseph A; Stinson, Jennifer N

2014-03-19

Pain that occurs both within and outside of the hospital setting is a common and distressing problem for adolescents with cancer. The use of smartphone technology may facilitate rapid, in-the-moment pain support for this population. To ensure the best possible pain management advice is given, evidence-based and expert-vetted care algorithms and system design features, which are designed using user-centered methods, are required. To develop the decision algorithm and system requirements that will inform the pain management advice provided by a real-time smartphone-based pain management app for adolescents with cancer. A systematic approach to algorithm development and system design was utilized. Initially, a comprehensive literature review was undertaken to understand the current body of knowledge pertaining to pediatric cancer pain management. A user-centered approach to development was used as the results of the review were disseminated to 15 international experts (clinicians, scientists, and a consumer) in pediatric pain, pediatric oncology and mHealth design, who participated in a 2-day consensus conference. This conference used nominal group technique to develop consensus on important pain inputs, pain management advice, and system design requirements. Using data generated at the conference, a prototype algorithm was developed. Iterative qualitative testing was conducted with adolescents with cancer, as well as pediatric oncology and pain health care providers to vet and refine the developed algorithm and system requirements for the real-time smartphone app. The systematic literature review established the current state of research related to nonpharmacological pediatric cancer pain management. The 2-day consensus conference established which clinically important pain inputs by adolescents would require action (pain management advice) from the app, the appropriate advice the app should provide to adolescents in pain, and the functional requirements of the app

A Smartphone-Based Pain Management App for Adolescents With Cancer: Establishing System Requirements and a Pain Care Algorithm Based on Literature Review, Interviews, and Consensus

PubMed Central

Stevens, Bonnie J; Nathan, Paul C; Seto, Emily; Cafazzo, Joseph A; Stinson, Jennifer N

2014-01-01

Background Pain that occurs both within and outside of the hospital setting is a common and distressing problem for adolescents with cancer. The use of smartphone technology may facilitate rapid, in-the-moment pain support for this population. To ensure the best possible pain management advice is given, evidence-based and expert-vetted care algorithms and system design features, which are designed using user-centered methods, are required. Objective To develop the decision algorithm and system requirements that will inform the pain management advice provided by a real-time smartphone-based pain management app for adolescents with cancer. Methods A systematic approach to algorithm development and system design was utilized. Initially, a comprehensive literature review was undertaken to understand the current body of knowledge pertaining to pediatric cancer pain management. A user-centered approach to development was used as the results of the review were disseminated to 15 international experts (clinicians, scientists, and a consumer) in pediatric pain, pediatric oncology and mHealth design, who participated in a 2-day consensus conference. This conference used nominal group technique to develop consensus on important pain inputs, pain management advice, and system design requirements. Using data generated at the conference, a prototype algorithm was developed. Iterative qualitative testing was conducted with adolescents with cancer, as well as pediatric oncology and pain health care providers to vet and refine the developed algorithm and system requirements for the real-time smartphone app. Results The systematic literature review established the current state of research related to nonpharmacological pediatric cancer pain management. The 2-day consensus conference established which clinically important pain inputs by adolescents would require action (pain management advice) from the app, the appropriate advice the app should provide to adolescents in pain, and the

A Combined Energy Management Algorithm for Wind Turbine/Battery Hybrid System

NASA Astrophysics Data System (ADS)

Altin, Necmi; Eyimaya, Süleyman Emre

2018-03-01

From an energy management standpoint, natural phenomena such as solar irradiation and wind speed are uncontrolled variables, so the correlation between the energy generated by renewable energy sources and energy demand cannot always be predicted. For this reason, energy storage systems are used to provide more efficient renewable energy systems. In these systems, energy management systems are used to control the energy storage system and establish a balance between the generated power and the power demand. In addition, especially in wind turbines, rapidly varying wind speeds cause wind power fluctuations, which threaten the power system stability, especially at high power levels. Energy storage systems are also used to mitigate the power fluctuations and sustain the power system's stability. In these systems, another controller which controls the energy storage system power to mitigate power fluctuations is required. These two controllers are different from each other. In this study, a combined energy management algorithm is proposed which can perform both as an energy control system and a power fluctuation mitigation system. The proposed controller is tested with wind energy conversion system modeled in MATLAB/Simulink. Simulation results show that the proposed controller acts as an energy management system while, at the same time, mitigating power fluctuations.

Identity threat at work: how social identity threat and situational cues contribute to racial and ethnic disparities in the workplace.

PubMed

Emerson, Katherine T U; Murphy, Mary C

2014-10-01

Significant disparities remain between racial and ethnic minorities' and Whites' experiences of American workplaces. Traditional prejudice and discrimination approaches explain these gaps in hiring, promotion, satisfaction, and well-being by pointing to the prejudice of people within organizations such as peers, managers, and executives. Grounded in social identity threat theory, this theoretical review instead argues that particular situational cues-often communicated by well-meaning, largely unprejudiced employees and managers-signal to stigmatized groups whether their identity is threatened and devalued or respected and affirmed. First, we provide an overview of how identity threat shapes the psychological processes of racial and ethnic minorities by heightening vigilance to certain situational cues in the workplace. Next, we outline several of these cues and their role in creating and sustaining perceptions of identity threat (or safety). Finally, we provide empirically grounded suggestions that organizations may use to increase identity safety among their employees of color. Taken together, the research demonstrates how situational cues contribute to disparate psychological experiences for racial and ethnic minorities at work, and suggests that by altering threatening cues, organizations may create more equitable, respectful, and inclusive environments where all people may thrive. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

Proposed algorithm for the management of athletes with athletic pubalgia (sports hernia): a case series.

PubMed

Kachingwe, Aimie F; Grech, Steven

2008-12-01

A case series of 6 athletes with a suspected sports hernia. Groin pain in athletes is common, and 1 source of groin pain is athletic pubalgia, or a sports hernia. Description of this condition and its management is scarce in the physical therapy literature. The purpose of this case series is to describe a conservative approach to treating athletes with a likely sports hernia and to provide physical therapists with an algorithm for managing athletes with this dysfunction. Six collegiate athletes (age range, 19-22 years; 4 males, 2 females) with a physician diagnosis of groin pain secondary to possible/probable sports hernia were referred to physical therapy. A method of evaluation was constructed and a cluster of 5 key findings indicative of a sports hernia is presented. The athletes were managed according to a proposed algorithm and received physical therapy consisting of soft tissue and joint mobilization/manipulation, neuromuscular re-education, manual stretching, and therapeutic exercise. Three of the athletes received conservative intervention and were able to fully return to sport after a mean of 7.7 sessions of physical therapy. The other 3 athletes reached this outcome after surgical repair and a mean of 6.7 sessions of physical therapy. Conservative management including manual therapy appears to be a viable option in the management of athletes with a sports hernia. Follow-up randomized clinical trials should be performed to further investigate the effectiveness of conservative rehabilitation compared to a homogeneous group of patients undergoing surgical repair for this condition. Therapy, level 4.

Development of an Interval Management Algorithm Using Ground Speed Feedback for Delayed Traffic

NASA Technical Reports Server (NTRS)

Barmore, Bryan E.; Swieringa, Kurt A.; Underwood, Matthew C.; Abbott, Terence; Leonard, Robert D.

2016-01-01

One of the goals of NextGen is to enable frequent use of Optimized Profile Descents (OPD) for aircraft, even during periods of peak traffic demand. NASA is currently testing three new technologies that enable air traffic controllers to use speed adjustments to space aircraft during arrival and approach operations. This will allow an aircraft to remain close to their OPD. During the integration of these technologies, it was discovered that, due to a lack of accurate trajectory information for the leading aircraft, Interval Management aircraft were exhibiting poor behavior. NASA's Interval Management algorithm was modified to address the impact of inaccurate trajectory information and a series of studies were performed to assess the impact of this modification. These studies show that the modification provided some improvement when the Interval Management system lacked accurate trajectory information for the leading aircraft.

Efficient Record Linkage Algorithms Using Complete Linkage Clustering

PubMed Central

Mamun, Abdullah-Al; Aseltine, Robert; Rajasekaran, Sanguthevar

2016-01-01

Data from different agencies share data of the same individuals. Linking these datasets to identify all the records belonging to the same individuals is a crucial and challenging problem, especially given the large volumes of data. A large number of available algorithms for record linkage are prone to either time inefficiency or low-accuracy in finding matches and non-matches among the records. In this paper we propose efficient as well as reliable sequential and parallel algorithms for the record linkage problem employing hierarchical clustering methods. We employ complete linkage hierarchical clustering algorithms to address this problem. In addition to hierarchical clustering, we also use two other techniques: elimination of duplicate records and blocking. Our algorithms use sorting as a sub-routine to identify identical copies of records. We have tested our algorithms on datasets with millions of synthetic records. Experimental results show that our algorithms achieve nearly 100% accuracy. Parallel implementations achieve almost linear speedups. Time complexities of these algorithms do not exceed those of previous best-known algorithms. Our proposed algorithms outperform previous best-known algorithms in terms of accuracy consuming reasonable run times. PMID:27124604

Efficient Record Linkage Algorithms Using Complete Linkage Clustering.

PubMed

Mamun, Abdullah-Al; Aseltine, Robert; Rajasekaran, Sanguthevar

2016-01-01

Data from different agencies share data of the same individuals. Linking these datasets to identify all the records belonging to the same individuals is a crucial and challenging problem, especially given the large volumes of data. A large number of available algorithms for record linkage are prone to either time inefficiency or low-accuracy in finding matches and non-matches among the records. In this paper we propose efficient as well as reliable sequential and parallel algorithms for the record linkage problem employing hierarchical clustering methods. We employ complete linkage hierarchical clustering algorithms to address this problem. In addition to hierarchical clustering, we also use two other techniques: elimination of duplicate records and blocking. Our algorithms use sorting as a sub-routine to identify identical copies of records. We have tested our algorithms on datasets with millions of synthetic records. Experimental results show that our algorithms achieve nearly 100% accuracy. Parallel implementations achieve almost linear speedups. Time complexities of these algorithms do not exceed those of previous best-known algorithms. Our proposed algorithms outperform previous best-known algorithms in terms of accuracy consuming reasonable run times.

Are we following an algorithm for managing chronic anal fissure? A completed audit cycle☆

PubMed Central

Farkas, Nicholas; Solanki, Kohmal; Frampton, Adam E.; Black, John; Gupta, Ashish; West, Nicholas J.

2015-01-01

Background Anal fissure is one of the commonest proctological diseases with considerable national variation in sequential treatment. We aimed to audit our compliance of chronic anal fissure (CAF) management with national guidance provided by the Association of Coloproctology of Great Britain and Ireland (ACPGBI). Methods We retrospectively audited patients presenting to outpatient clinics with CAF over a 6-month period. Using electronic patient records, notes and clinic letters, we compared their management with ACPGBI algorithm. A prospective re-audit was then performed. Results Forty-one patients were included in the analysis (59% male). Sixty-eight percent (n = 28/41) of patients were appropriately started on conservative dietary therapy, of whom only 7.1% (n = 2/28) had treatment success. Eighty-nine percent (n = 25/28) were then appropriately treated with either topical diltiazem 2% or GTN 0.4%. Overall, 43.9% (n = 18/41) of all patients' entire management strategy adhered to the ACPGBI guidelines. In total, 48.8% (n = 20/41) patients had surgical treatment (excluding Botox), of which only 15% (n = 3/20) had undergone ACPGBI-compliant management. After local dissemination of results and education, the re-audit of 20 patients showed significant improvement in adherence to the guidelines (43.9% vs. 95%; P = 0.0001). Conclusions Topical creams were the most successful treatments (50%; n = 9/18) in ACPGBI-compliant strategies. Importantly, these data suggests that compliance with the ACPGBI algorithm leads to healing without surgery in 83.3% (n = 15/18) of patients, compared to 26.1% (n = 6/23) with non-compliant methods (P = 0.0004). This highlights the benefit of early conservative and medical management of CAF, before attempting surgery. PMID:26858833

Are drug treatment services only for 'thieving junkie scumbags'? Drug users and the management of stigmatised identities.

PubMed

Radcliffe, Polly; Stevens, Alex

2008-10-01

This article uses qualitative interviews with 53 problematic drug users who had dropped out of treatment in England, UK to explore how they describe the stigmatisation of drug users and drug services. It discusses the construction of the category of the junkie through its association with un-controlled heroin use and criminality. It shows how some drug users carefully manage information about their discreditable identities by excluding themselves from this category, while acknowledging its validity for other drug users. The junkie identity was generally seen as shameful and therefore to be avoided, although it holds attractions for some drug users. For many of the interviewees, entry to treatment risked exposing their own activities as shaming, as they saw treatment as being a place that was populated by junkies and where it becomes more difficult to manage discreditable information. The treatment regime, e.g. the routine of supervised consumption of methadone, was itself seen by some as stigmatising and was also seen as hindering progress to the desired 'normal' life of conventional employment. Participation in the community of users of both drugs and drug services was perceived as potentially damaging to the prospects of recovery. This emphasises the importance of social capital, including links to people and opportunities outside the drug market. It also highlights the danger that using the criminal justice system to concentrate prolific offenders in treatment may have the perverse effects of excluding other people who have drug problems and of prolonging the performance of the junkie identity within treatment services. It is concluded that treatment agencies should address these issues, including through the provision of more drug services in mainstream settings, in order to ensure that drug services are not seen to be suitable only for one particularly stigmatised category of drug user.

Competitive evaluation of failure detection algorithms for strapdown redundant inertial instruments

NASA Technical Reports Server (NTRS)

Wilcox, J. C.

1973-01-01

Algorithms for failure detection, isolation, and correction of redundant inertial instruments in the strapdown dodecahedron configuration are competitively evaluated in a digital computer simulation that subjects them to identical environments. Their performance is compared in terms of orientation and inertial velocity errors and in terms of missed and false alarms. The algorithms appear in the simulation program in modular form, so that they may be readily extracted for use elsewhere. The simulation program and its inputs and outputs are described. The algorithms, along with an eight algorithm that was not simulated, also compared analytically to show the relationships among them.

Why do I dread looking old?: A test of social identity theory, terror management theory, and the double standard of aging.

PubMed

Chonody, Jill M; Teater, Barbra

2016-01-01

Outward appearance is one of the means by which age is determined, and fear of looking old may stem from fears about social identity and death. This study explored how social identity theory and terror management theory may help to explain the dread of looking old. University students from the United States, England, and Australia (N = 1,042) completed a questionnaire regarding their attitudes about aging and older adults. Results indicated that sex, age, beliefs about personal aging, and death anxiety explained 30.4% of the variance for participants' dread of looking old. Theoretical hypotheses were supported by our findings.

Advanced order management in ERM systems: the tic-tac-toe algorithm

NASA Astrophysics Data System (ADS)

Badell, Mariana; Fernandez, Elena; Puigjaner, Luis

2000-10-01

The concept behind improved enterprise resource planning systems (ERP) systems is the overall integration of the whole enterprise functionality into the management systems through financial links. Converting current software into real management decision tools requires crucial changes in the current approach to ERP systems. This evolution must be able to incorporate the technological achievements both properly and in time. The exploitation phase of plants needs an open web-based environment for collaborative business-engineering with on-line schedulers. Today's short lifecycles of products and processes require sharp and finely tuned management actions that must be guided by scheduling tools. Additionally, such actions must be able to keep track of money movements related to supply chain events. Thus, the necessary outputs require financial-production integration at the scheduling level as proposed in the new approach of enterprise management systems (ERM). Within this framework, the economical analysis of the due date policy and its optimization become essential to manage dynamically realistic and optimal delivery dates with price-time trade-off during the marketing activities. In this work we propose a scheduling tool with web-based interface conducted by autonomous agents when precise economic information relative to plant and business actions and their effects are provided. It aims to attain a better arrangement of the marketing and production events in order to face the bid/bargain process during e-commerce. Additionally, management systems require real time execution and an efficient transaction-oriented approach capable to dynamically adopt realistic and optimal actions to support marketing management. To this end the TicTacToe algorithm provides sequence optimization with acceptable tolerances in realistic time.

Current management of male‐to‐female gender identity disorder in the UK

PubMed Central

Tugnet, Nicola; Goddard, Jonathan Charles; Vickery, Richard M; Khoosal, Deenesh; Terry, Tim R

2007-01-01

Gender identity disorder (GID), or transsexualism as it is more commonly known, is a highly complex clinical entity. Although the exact aetiology of GID is unknown, several environmental, genetic and anatomical theories have been described. The diagnosis of GID can be a difficult process but is established currently using standards of care as defined by the Harry Benjamin International Gender Dysphoria Association. Patients go through extensive psychiatric assessment, including the Real Life Experience, which entails living in the desired gender role 24 h a day for a minimum period of 12 months. The majority of GID patients will eventually go on to have gender realignment surgery, which includes feminising genitoplasty. The clinical features, diagnostic approach and management of male‐to‐female GID in the UK are reviewed, including the behavioural, psychological and surgical aspects. PMID:17916872

Modelling Systems of Classical/Quantum Identical Particles by Focusing on Algorithms

ERIC Educational Resources Information Center

Guastella, Ivan; Fazio, Claudio; Sperandeo-Mineo, Rosa Maria

2012-01-01

A procedure modelling ideal classical and quantum gases is discussed. The proposed approach is mainly based on the idea that modelling and algorithm analysis can provide a deeper understanding of particularly complex physical systems. Appropriate representations and physical models able to mimic possible pseudo-mechanisms of functioning and having…

Development and test results of a flight management algorithm for fuel conservative descents in a time-based metered traffic environment

NASA Technical Reports Server (NTRS)

Knox, C. E.; Cannon, D. G.

1980-01-01

A simple flight management descent algorithm designed to improve the accuracy of delivering an airplane in a fuel-conservative manner to a metering fix at a time designated by air traffic control was developed and flight tested. This algorithm provides a three dimensional path with terminal area time constraints (four dimensional) for an airplane to make an idle thrust, clean configured (landing gear up, flaps zero, and speed brakes retracted) descent to arrive at the metering fix at a predetermined time, altitude, and airspeed. The descent path was calculated for a constant Mach/airspeed schedule from linear approximations of airplane performance with considerations given for gross weight, wind, and nonstandard pressure and temperature effects. The flight management descent algorithm is described. The results of the flight tests flown with the Terminal Configured Vehicle airplane are presented.

An algorithm for management of deep brain stimulation battery replacements: devising a web-based battery estimator and clinical symptom approach.

PubMed

Montuno, Michael A; Kohner, Andrew B; Foote, Kelly D; Okun, Michael S

2013-01-01

Deep brain stimulation (DBS) is an effective technique that has been utilized to treat advanced and medication-refractory movement and psychiatric disorders. In order to avoid implanted pulse generator (IPG) failure and consequent adverse symptoms, a better understanding of IPG battery longevity and management is necessary. Existing methods for battery estimation lack the specificity required for clinical incorporation. Technical challenges prevent higher accuracy longevity estimations, and a better approach to managing end of DBS battery life is needed. The literature was reviewed and DBS battery estimators were constructed by the authors and made available on the web at http://mdc.mbi.ufl.edu/surgery/dbs-battery-estimator. A clinical algorithm for management of DBS battery life was constructed. The algorithm takes into account battery estimations and clinical symptoms. Existing methods of DBS battery life estimation utilize an interpolation of averaged current drains to calculate how long a battery will last. Unfortunately, this technique can only provide general approximations. There are inherent errors in this technique, and these errors compound with each iteration of the battery estimation. Some of these errors cannot be accounted for in the estimation process, and some of the errors stem from device variation, battery voltage dependence, battery usage, battery chemistry, impedance fluctuations, interpolation error, usage patterns, and self-discharge. We present web-based battery estimators along with an algorithm for clinical management. We discuss the perils of using a battery estimator without taking into account the clinical picture. Future work will be needed to provide more reliable management of implanted device batteries; however, implementation of a clinical algorithm that accounts for both estimated battery life and for patient symptoms should improve the care of DBS patients. © 2012 International Neuromodulation Society.

A Vehicle Management End-to-End Testing and Analysis Platform for Validation of Mission and Fault Management Algorithms to Reduce Risk for NASA's Space Launch System

NASA Technical Reports Server (NTRS)

Trevino, Luis; Patterson, Jonathan; Teare, David; Johnson, Stephen

2015-01-01

The engineering development of the new Space Launch System (SLS) launch vehicle requires cross discipline teams with extensive knowledge of launch vehicle subsystems, information theory, and autonomous algorithms dealing with all operations from pre-launch through on orbit operations. The characteristics of these spacecraft systems must be matched with the autonomous algorithm monitoring and mitigation capabilities for accurate control and response to abnormal conditions throughout all vehicle mission flight phases, including precipitating safing actions and crew aborts. This presents a large and complex system engineering challenge, which is being addressed in part by focusing on the specific subsystems involved in the handling of off-nominal mission and fault tolerance with response management. Using traditional model based system and software engineering design principles from the Unified Modeling Language (UML) and Systems Modeling Language (SysML), the Mission and Fault Management (M&FM) algorithms for the vehicle are crafted and vetted in specialized Integrated Development Teams (IDTs) composed of multiple development disciplines such as Systems Engineering (SE), Flight Software (FSW), Safety and Mission Assurance (S&MA) and the major subsystems and vehicle elements such as Main Propulsion Systems (MPS), boosters, avionics, Guidance, Navigation, and Control (GNC), Thrust Vector Control (TVC), and liquid engines. These model based algorithms and their development lifecycle from inception through Flight Software certification are an important focus of this development effort to further insure reliable detection and response to off-nominal vehicle states during all phases of vehicle operation from pre-launch through end of flight. NASA formed a dedicated M&FM team for addressing fault management early in the development lifecycle for the SLS initiative. As part of the development of the M&FM capabilities, this team has developed a dedicated testbed that

Emergency Department Management of Suspected Calf-Vein Deep Venous Thrombosis: A Diagnostic Algorithm

PubMed Central

Kitchen, Levi; Lawrence, Matthew; Speicher, Matthew; Frumkin, Kenneth

2016-01-01

Introduction Unilateral leg swelling with suspicion of deep venous thrombosis (DVT) is a common emergency department (ED) presentation. Proximal DVT (thrombus in the popliteal or femoral veins) can usually be diagnosed and treated at the initial ED encounter. When proximal DVT has been ruled out, isolated calf-vein deep venous thrombosis (IC-DVT) often remains a consideration. The current standard for the diagnosis of IC-DVT is whole-leg vascular duplex ultrasonography (WLUS), a test that is unavailable in many hospitals outside normal business hours. When WLUS is not available from the ED, recommendations for managing suspected IC-DVT vary. The objectives of the study is to use current evidence and recommendations to (1) propose a diagnostic algorithm for IC-DVT when definitive testing (WLUS) is unavailable; and (2) summarize the controversy surrounding IC-DVT treatment. Discussion The Figure combines D-dimer testing with serial CUS or a single deferred FLUS for the diagnosis of IC-DVT. Such an algorithm has the potential to safely direct the management of suspected IC-DVT when definitive testing is unavailable. Whether or not to treat diagnosed IC-DVT remains widely debated and awaiting further evidence. Conclusion When IC-DVT is not ruled out in the ED, the suggested algorithm, although not prospectively validated by a controlled study, offers an approach to diagnosis that is consistent with current data and recommendations. When IC-DVT is diagnosed, current references suggest that a decision between anticoagulation and continued follow-up outpatient testing can be based on shared decision-making. The risks of proximal progression and life-threatening embolization should be balanced against the generally more benign natural history of such thrombi, and an individual patient’s risk factors for both thrombus propagation and complications of anticoagulation. PMID:27429688

Emergency Department Management of Suspected Calf-Vein Deep Venous Thrombosis: A Diagnostic Algorithm.

PubMed

Kitchen, Levi; Lawrence, Matthew; Speicher, Matthew; Frumkin, Kenneth

2016-07-01

Unilateral leg swelling with suspicion of deep venous thrombosis (DVT) is a common emergency department (ED) presentation. Proximal DVT (thrombus in the popliteal or femoral veins) can usually be diagnosed and treated at the initial ED encounter. When proximal DVT has been ruled out, isolated calf-vein deep venous thrombosis (IC-DVT) often remains a consideration. The current standard for the diagnosis of IC-DVT is whole-leg vascular duplex ultrasonography (WLUS), a test that is unavailable in many hospitals outside normal business hours. When WLUS is not available from the ED, recommendations for managing suspected IC-DVT vary. The objectives of the study is to use current evidence and recommendations to (1) propose a diagnostic algorithm for IC-DVT when definitive testing (WLUS) is unavailable; and (2) summarize the controversy surrounding IC-DVT treatment. The Figure combines D-dimer testing with serial CUS or a single deferred FLUS for the diagnosis of IC-DVT. Such an algorithm has the potential to safely direct the management of suspected IC-DVT when definitive testing is unavailable. Whether or not to treat diagnosed IC-DVT remains widely debated and awaiting further evidence. When IC-DVT is not ruled out in the ED, the suggested algorithm, although not prospectively validated by a controlled study, offers an approach to diagnosis that is consistent with current data and recommendations. When IC-DVT is diagnosed, current references suggest that a decision between anticoagulation and continued follow-up outpatient testing can be based on shared decision-making. The risks of proximal progression and life-threatening embolization should be balanced against the generally more benign natural history of such thrombi, and an individual patient's risk factors for both thrombus propagation and complications of anticoagulation.

A Vehicle Management End-to-End Testing and Analysis Platform for Validation of Mission and Fault Management Algorithms to Reduce Risk for NASAs Space Launch System

NASA Technical Reports Server (NTRS)

Trevino, Luis; Johnson, Stephen B.; Patterson, Jonathan; Teare, David

2015-01-01

The engineering development of the National Aeronautics and Space Administration's (NASA) new Space Launch System (SLS) requires cross discipline teams with extensive knowledge of launch vehicle subsystems, information theory, and autonomous algorithms dealing with all operations from pre-launch through on orbit operations. The nominal and off-nominal characteristics of SLS's elements and subsystems must be understood and matched with the autonomous algorithm monitoring and mitigation capabilities for accurate control and response to abnormal conditions throughout all vehicle mission flight phases, including precipitating safing actions and crew aborts. This presents a large and complex systems engineering challenge, which is being addressed in part by focusing on the specific subsystems involved in the handling of off-nominal mission and fault tolerance with response management. Using traditional model-based system and software engineering design principles from the Unified Modeling Language (UML) and Systems Modeling Language (SysML), the Mission and Fault Management (M&FM) algorithms for the vehicle are crafted and vetted in Integrated Development Teams (IDTs) composed of multiple development disciplines such as Systems Engineering (SE), Flight Software (FSW), Safety and Mission Assurance (S&MA) and the major subsystems and vehicle elements such as Main Propulsion Systems (MPS), boosters, avionics, Guidance, Navigation, and Control (GNC), Thrust Vector Control (TVC), and liquid engines. These model-based algorithms and their development lifecycle from inception through FSW certification are an important focus of SLS's development effort to further ensure reliable detection and response to off-nominal vehicle states during all phases of vehicle operation from pre-launch through end of flight. To test and validate these M&FM algorithms a dedicated test-bed was developed for full Vehicle Management End-to-End Testing (VMET). For addressing fault management (FM

Comparison of photo-matching algorithms commonly used for photographic capture-recapture studies.

PubMed

Matthé, Maximilian; Sannolo, Marco; Winiarski, Kristopher; Spitzen-van der Sluijs, Annemarieke; Goedbloed, Daniel; Steinfartz, Sebastian; Stachow, Ulrich

2017-08-01

Photographic capture-recapture is a valuable tool for obtaining demographic information on wildlife populations due to its noninvasive nature and cost-effectiveness. Recently, several computer-aided photo-matching algorithms have been developed to more efficiently match images of unique individuals in databases with thousands of images. However, the identification accuracy of these algorithms can severely bias estimates of vital rates and population size. Therefore, it is important to understand the performance and limitations of state-of-the-art photo-matching algorithms prior to implementation in capture-recapture studies involving possibly thousands of images. Here, we compared the performance of four photo-matching algorithms; Wild-ID, I3S Pattern+, APHIS, and AmphIdent using multiple amphibian databases of varying image quality. We measured the performance of each algorithm and evaluated the performance in relation to database size and the number of matching images in the database. We found that algorithm performance differed greatly by algorithm and image database, with recognition rates ranging from 100% to 22.6% when limiting the review to the 10 highest ranking images. We found that recognition rate degraded marginally with increased database size and could be improved considerably with a higher number of matching images in the database. In our study, the pixel-based algorithm of AmphIdent exhibited superior recognition rates compared to the other approaches. We recommend carefully evaluating algorithm performance prior to using it to match a complete database. By choosing a suitable matching algorithm, databases of sizes that are unfeasible to match "by eye" can be easily translated to accurate individual capture histories necessary for robust demographic estimates.

A dynamic programming-based particle swarm optimization algorithm for an inventory management problem under uncertainty

NASA Astrophysics Data System (ADS)

Xu, Jiuping; Zeng, Ziqiang; Han, Bernard; Lei, Xiao

2013-07-01

This article presents a dynamic programming-based particle swarm optimization (DP-based PSO) algorithm for solving an inventory management problem for large-scale construction projects under a fuzzy random environment. By taking into account the purchasing behaviour and strategy under rules of international bidding, a multi-objective fuzzy random dynamic programming model is constructed. To deal with the uncertainties, a hybrid crisp approach is used to transform fuzzy random parameters into fuzzy variables that are subsequently defuzzified by using an expected value operator with optimistic-pessimistic index. The iterative nature of the authors' model motivates them to develop a DP-based PSO algorithm. More specifically, their approach treats the state variables as hidden parameters. This in turn eliminates many redundant feasibility checks during initialization and particle updates at each iteration. Results and sensitivity analysis are presented to highlight the performance of the authors' optimization method, which is very effective as compared to the standard PSO algorithm.

Clinical effectiveness of a Bayesian algorithm for the diagnosis and management of heparin-induced thrombocytopenia.

PubMed

Raschke, R A; Gallo, T; Curry, S C; Whiting, T; Padilla-Jones, A; Warkentin, T E; Puri, A

2017-08-01

algorithm incorporating 4Ts scoring and a stratified interpretation of the anti-PF4/H ELISA has good operating characteristics and the potential to improve management of suspected HIT patients. © 2017 International Society on Thrombosis and Haemostasis.

A Fast Approximate Algorithm for Mapping Long Reads to Large Reference Databases.

PubMed

Jain, Chirag; Dilthey, Alexander; Koren, Sergey; Aluru, Srinivas; Phillippy, Adam M

2018-04-30

Emerging single-molecule sequencing technologies from Pacific Biosciences and Oxford Nanopore have revived interest in long-read mapping algorithms. Alignment-based seed-and-extend methods demonstrate good accuracy, but face limited scalability, while faster alignment-free methods typically trade decreased precision for efficiency. In this article, we combine a fast approximate read mapping algorithm based on minimizers with a novel MinHash identity estimation technique to achieve both scalability and precision. In contrast to prior methods, we develop a mathematical framework that defines the types of mapping targets we uncover, establish probabilistic estimates of p-value and sensitivity, and demonstrate tolerance for alignment error rates up to 20%. With this framework, our algorithm automatically adapts to different minimum length and identity requirements and provides both positional and identity estimates for each mapping reported. For mapping human PacBio reads to the hg38 reference, our method is 290 × faster than Burrows-Wheeler Aligner-MEM with a lower memory footprint and recall rate of 96%. We further demonstrate the scalability of our method by mapping noisy PacBio reads (each ≥5 kbp in length) to the complete NCBI RefSeq database containing 838 Gbp of sequence and >60,000 genomes.

Dynamic Capacity Allocation Algorithms for iNET Link Manager

DTIC Science & Technology

2014-05-01

algorithm that can better cope with severe congestion and misbehaving users and traffic flows. We compare the E-LM with the LM baseline algorithm (B-LM...capacity allocation algorithm that can better cope with severe congestion and misbehaving users and traffic flows. We compare the E-LM with the LM

Development of a Management Algorithm for Post-operative Pain (MAPP) after total knee and total hip replacement: study rationale and design.

PubMed

Botti, Mari; Kent, Bridie; Bucknall, Tracey; Duke, Maxine; Johnstone, Megan-Jane; Considine, Julie; Redley, Bernice; Hunter, Susan; de Steiger, Richard; Holcombe, Marlene; Cohen, Emma

2014-08-28

Evidence from clinical practice and the extant literature suggests that post-operative pain assessment and treatment is often suboptimal. Poor pain management is likely to persist until pain management practices become consistent with guidelines developed from the best available scientific evidence. This work will address the priority in healthcare of improving the quality of pain management by standardising evidence-based care processes through the incorporation of an algorithm derived from best evidence into clinical practice. In this paper, the methodology for the creation and implementation of such an algorithm that will focus, in the first instance, on patients who have undergone total hip or knee replacement is described. In partnership with clinicians, and based on best available evidence, the aim of the Management Algorithm for Post-operative Pain (MAPP) project is to develop, implement, and evaluate an algorithm designed to support pain management decision-making for patients after orthopaedic surgery. The algorithm will provide guidance for the prescription and administration of multimodal analgesics in the post-operative period, and the treatment of breakthrough pain. The MAPP project is a multisite study with one coordinating hospital and two supporting (rollout) hospitals. The design of this project is a pre-implementation-post-implementation evaluation and will be conducted over three phases. The Promoting Action on Research Implementation in Health Services (PARiHS) framework will be used to guide implementation. Outcome measurements will be taken 10 weeks post-implementation of the MAPP. The primary outcomes are: proportion of patients prescribed multimodal analgesics in accordance with the MAPP; and proportion of patients with moderate to severe pain intensity at rest. These data will be compared to the pre-implementation analgesic prescribing practices and pain outcome measures. A secondary outcome, the efficacy of the MAPP, will be measured by

A Vehicle Management End-to-End Testing and Analysis Platform for Validation of Mission and Fault Management Algorithms to Reduce Risk for NASA's Space Launch System

NASA Technical Reports Server (NTRS)

Trevino, Luis; Johnson, Stephen B.; Patterson, Jonathan; Teare, David

2015-01-01

The development of the Space Launch System (SLS) launch vehicle requires cross discipline teams with extensive knowledge of launch vehicle subsystems, information theory, and autonomous algorithms dealing with all operations from pre-launch through on orbit operations. The characteristics of these systems must be matched with the autonomous algorithm monitoring and mitigation capabilities for accurate control and response to abnormal conditions throughout all vehicle mission flight phases, including precipitating safing actions and crew aborts. This presents a large complex systems engineering challenge being addressed in part by focusing on the specific subsystems handling of off-nominal mission and fault tolerance. Using traditional model based system and software engineering design principles from the Unified Modeling Language (UML), the Mission and Fault Management (M&FM) algorithms are crafted and vetted in specialized Integrated Development Teams composed of multiple development disciplines. NASA also has formed an M&FM team for addressing fault management early in the development lifecycle. This team has developed a dedicated Vehicle Management End-to-End Testbed (VMET) that integrates specific M&FM algorithms, specialized nominal and off-nominal test cases, and vendor-supplied physics-based launch vehicle subsystem models. The flexibility of VMET enables thorough testing of the M&FM algorithms by providing configurable suites of both nominal and off-nominal test cases to validate the algorithms utilizing actual subsystem models. The intent is to validate the algorithms and substantiate them with performance baselines for each of the vehicle subsystems in an independent platform exterior to flight software test processes. In any software development process there is inherent risk in the interpretation and implementation of concepts into software through requirements and test processes. Risk reduction is addressed by working with other organizations such as S

Guidelines and algorithms for managing the difficult airway.

PubMed

Gómez-Ríos, M A; Gaitini, L; Matter, I; Somri, M

2018-01-01

The difficult airway constitutes a continuous challenge for anesthesiologists. Guidelines and algorithms are key to preserving patient safety, by recommending specific plans and strategies that address predicted or unexpected difficult airway. However, there are currently no "gold standard" algorithms or universally accepted standards. The aim of this article is to present a synthesis of the recommendations of the main guidelines and difficult airway algorithms. Copyright © 2017 Sociedad Española de Anestesiología, Reanimación y Terapéutica del Dolor. Publicado por Elsevier España, S.L.U. All rights reserved.

Expanding the disaster risk management framework: Measuring the constructed level of national identity as a factor of political risk

PubMed Central

2016-01-01

Political risk is identified as a dominant risk category of disaster risk management (DRM) which could negatively affect the success of those measures implemented to reduce disaster risk. Key to political risk is the construct of national identity which, if poorly constructed, could greatly contribute to political risk. This article proposed a tool to measure the construct of national identity and to provide recommendations to strengthen the construct in order to mitigate the exacerbating influence it may have on political risk and ultimately on DRM. The design of the measurement tool consisted of a mixed methodological approach employing both quantitative and qualitative data. The data collection instruments included a literature review (which is shortly provided in the previous sections) and an empirical study that utilised data obtained through structured questionnaires. Although the results of the proposed measuring instrument did not include a representative sample of all the cultures in South Africa, the results alluded to different levels for the construction of national identity among black and white respondents, possibly because of different ideological expectations among these groups. The results of the study should be considered as a validation of the measuring tool and not necessarily of the construct of national identity in South Africa. The measuring tool is thus promising for future studies to reduce political risk and ultimately disaster risk.

A new root-based direction-finding algorithm

NASA Astrophysics Data System (ADS)

Wasylkiwskyj, Wasyl; Kopriva, Ivica; DoroslovačKi, Miloš; Zaghloul, Amir I.

2007-04-01

Polynomial rooting direction-finding (DF) algorithms are a computationally efficient alternative to search-based DF algorithms and are particularly suitable for uniform linear arrays of physically identical elements provided that mutual interaction among the array elements can be either neglected or compensated for. A popular algorithm in such situations is Root Multiple Signal Classification (Root MUSIC (RM)), wherein the estimation of the directions of arrivals (DOA) requires the computation of the roots of a (2N - 2) -order polynomial, where N represents number of array elements. The DOA are estimated from the L pairs of roots closest to the unit circle, where L represents number of sources. In this paper we derive a modified root polynomial (MRP) algorithm requiring the calculation of only L roots in order to estimate the L DOA. We evaluate the performance of the MRP algorithm numerically and show that it is as accurate as the RM algorithm but with a significantly simpler algebraic structure. In order to demonstrate that the theoretically predicted performance can be achieved in an experimental setting, a decoupled array is emulated in hardware using phase shifters. The results are in excellent agreement with theory.

Bringing Federated Identity to Grid Computing

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

Teheran, Jeny

The Fermi National Accelerator Laboratory (FNAL) is facing the challenge of providing scientific data access and grid submission to scientific collaborations that span the globe but are hosted at FNAL. Users in these collaborations are currently required to register as an FNAL user and obtain FNAL credentials to access grid resources to perform their scientific computations. These requirements burden researchers with managing additional authentication credentials, and put additional load on FNAL for managing user identities. Our design integrates the existing InCommon federated identity infrastructure, CILogon Basic CA, and MyProxy with the FNAL grid submission system to provide secure access formore » users from diverse experiments and collab orations without requiring each user to have authentication credentials from FNAL. The design automates the handling of certificates so users do not need to manage them manually. Although the initial implementation is for FNAL's grid submission system, the design and the core of the implementation are general and could be applied to other distributed computing systems.« less

Developing a workable teacher identity: Building and negotiating identity within a professional network

NASA Astrophysics Data System (ADS)

Rostock, Roseanne

The challenge of attracting and retaining the next generation of teachers who are skilled and committed to meeting the growing demands of the profession is of increasing concern to researchers and policy makers, particularly since 45--50% of beginning teachers leave the profession within five years (Ingersoll & Smith, 2003). Reasons for such attrition include compensation, status and working conditions; however, there is growing evidence that a critical factor in new teacher retention hinges on teachers' ability to accomplish the difficult task of forming a workable professional identity in the midst of competing discourses about teaching (Alsup, 2006; Britzman, 2003). There is little research on professional identity development among those beginning teachers at highest risk for attrition (secondary math and science teachers, and those with strong academic backgrounds). This study explores the professional identity development of early-career math and science teachers who are part of the Knowles Science Teaching Foundation's (KSTF) teaching fellowship program, an external support network that aims to address many of the issues leading to high attrition among this particular population of teachers. Using narrative research methods, I examine three case studies of beginning teachers, exploring how they construct professional identity in relation to various discourse communities and negotiate tensions across multiple discourses. The cases identify both dominant discourses and counter-discourses that the teachers draw upon for important identity development resources. They also demonstrate that the way a teacher manages tensions across competing discourses is important to how well one can negotiate a workable professional identity. In particular, they emphasize the importance of engaging in borderland discourses (Gee, 1996) as a way of taking agency in one's own identity development as well as in transforming one's discourse communities. These cases shed light on how

Local flow management/profile descent algorithm. Fuel-efficient, time-controlled profiles for the NASA TSRV airplane

NASA Technical Reports Server (NTRS)

Groce, J. L.; Izumi, K. H.; Markham, C. H.; Schwab, R. W.; Thompson, J. L.

1986-01-01

The Local Flow Management/Profile Descent (LFM/PD) algorithm designed for the NASA Transport System Research Vehicle program is described. The algorithm provides fuel-efficient altitude and airspeed profiles consistent with ATC restrictions in a time-based metering environment over a fixed ground track. The model design constraints include accommodation of both published profile descent procedures and unpublished profile descents, incorporation of fuel efficiency as a flight profile criterion, operation within the performance capabilities of the Boeing 737-100 airplane with JT8D-7 engines, and conformity to standard air traffic navigation and control procedures. Holding and path stretching capabilities are included for long delay situations.

5 CFR 736.103 - Protecting the identity of a source.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 5 Administrative Personnel 2 2012-01-01 2012-01-01 false Protecting the identity of a source. 736.103 Section 736.103 Administrative Personnel OFFICE OF PERSONNEL MANAGEMENT (CONTINUED) CIVIL SERVICE REGULATIONS (CONTINUED) PERSONNEL INVESTIGATIONS Scope § 736.103 Protecting the identity of a source. When a...

5 CFR 736.103 - Protecting the identity of a source.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 5 Administrative Personnel 2 2013-01-01 2013-01-01 false Protecting the identity of a source. 736.103 Section 736.103 Administrative Personnel OFFICE OF PERSONNEL MANAGEMENT (CONTINUED) CIVIL SERVICE REGULATIONS (CONTINUED) PERSONNEL INVESTIGATIONS Scope § 736.103 Protecting the identity of a source. When a...

5 CFR 736.103 - Protecting the identity of a source.

Code of Federal Regulations, 2011 CFR

2011-01-01

... 5 Administrative Personnel 2 2011-01-01 2011-01-01 false Protecting the identity of a source. 736.103 Section 736.103 Administrative Personnel OFFICE OF PERSONNEL MANAGEMENT (CONTINUED) CIVIL SERVICE REGULATIONS (CONTINUED) PERSONNEL INVESTIGATIONS Scope § 736.103 Protecting the identity of a source. When a...

5 CFR 736.103 - Protecting the identity of a source.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 5 Administrative Personnel 2 2014-01-01 2014-01-01 false Protecting the identity of a source. 736.103 Section 736.103 Administrative Personnel OFFICE OF PERSONNEL MANAGEMENT (CONTINUED) CIVIL SERVICE REGULATIONS (CONTINUED) PERSONNEL INVESTIGATIONS Scope § 736.103 Protecting the identity of a source. When a...

5 CFR 736.103 - Protecting the identity of a source.

Code of Federal Regulations, 2010 CFR

2010-01-01

... 5 Administrative Personnel 2 2010-01-01 2010-01-01 false Protecting the identity of a source. 736.103 Section 736.103 Administrative Personnel OFFICE OF PERSONNEL MANAGEMENT (CONTINUED) CIVIL SERVICE REGULATIONS (CONTINUED) PERSONNEL INVESTIGATIONS Scope § 736.103 Protecting the identity of a source. When a...

A robust firearm identification algorithm of forensic ballistics specimens

NASA Astrophysics Data System (ADS)

Chuan, Z. L.; Jemain, A. A.; Liong, C.-Y.; Ghani, N. A. M.; Tan, L. K.

2017-09-01

There are several inherent difficulties in the existing firearm identification algorithms, include requiring the physical interpretation and time consuming. Therefore, the aim of this study is to propose a robust algorithm for a firearm identification based on extracting a set of informative features from the segmented region of interest (ROI) using the simulated noisy center-firing pin impression images. The proposed algorithm comprises Laplacian sharpening filter, clustering-based threshold selection, unweighted least square estimator, and segment a square ROI from the noisy images. A total of 250 simulated noisy images collected from five different pistols of the same make, model and caliber are used to evaluate the robustness of the proposed algorithm. This study found that the proposed algorithm is able to perform the identical task on the noisy images with noise levels as high as 70%, while maintaining a firearm identification accuracy rate of over 90%.

An iris recognition algorithm based on DCT and GLCM

NASA Astrophysics Data System (ADS)

Feng, G.; Wu, Ye-qing

2008-04-01

With the enlargement of mankind's activity range, the significance for person's status identity is becoming more and more important. So many different techniques for person's status identity were proposed for this practical usage. Conventional person's status identity methods like password and identification card are not always reliable. A wide variety of biometrics has been developed for this challenge. Among those biologic characteristics, iris pattern gains increasing attention for its stability, reliability, uniqueness, noninvasiveness and difficult to counterfeit. The distinct merits of the iris lead to its high reliability for personal identification. So the iris identification technique had become hot research point in the past several years. This paper presents an efficient algorithm for iris recognition using gray-level co-occurrence matrix(GLCM) and Discrete Cosine transform(DCT). To obtain more representative iris features, features from space and DCT transformation domain are extracted. Both GLCM and DCT are applied on the iris image to form the feature sequence in this paper. The combination of GLCM and DCT makes the iris feature more distinct. Upon GLCM and DCT the eigenvector of iris extracted, which reflects features of spatial transformation and frequency transformation. Experimental results show that the algorithm is effective and feasible with iris recognition.

[Identity and dissociation in cyberspace. A case of dissociative identity disorder associated with internet role playing].

PubMed

Te Wildt, B T; Kowalewski, E; Meibeyer, F; Huber, T

2006-01-01

By mediating dissociative experiences, the Internet can challenge the boundaries of people's sense of identity. To illustrate this hypothesis, a case of dissociative identity disorder (DID) is presented. A young unemployed woman created and frequently played several characters in an online game. For more than 2 years she spent up to 12 h a day in the Internet, assuming various personalities, which in return intruded upon her neglected real life. During the course of an inpatient psychotherapeutic treatment, the clinical diagnosis of DID was confirmed by psychometric testing. After 12 weeks of psychotherapy, the patient had managed to identify her fragmented identities as character traits and integrated them into her core personality. She rearranged her real everyday life, found a new job, and reduced her online activities. Even though the patient's psychopathology stems from a disposition in terms of a personality disorder with histrionic and narcissistic features, excessive internet role play obviously functioned as a trigger to develop DIS. Conclusively, cyberspace's anonymous interactivity may offer the possibility to explore one's identity while also putting at risk its coherence.

Identification of Patients with Statin Intolerance in a Managed Care Plan: A Comparison of 2 Claims-Based Algorithms.

PubMed

Bellows, Brandon K; Sainski-Nguyen, Amy M; Olsen, Cody J; Boklage, Susan H; Charland, Scott; Mitchell, Matthew P; Brixner, Diana I

2017-09-01

While statins are safe and efficacious, some patients may experience statin intolerance or treatment-limiting adverse events. Identifying patients with statin intolerance may allow optimal management of cardiovascular event risk through other strategies. Recently, an administrative claims data (ACD) algorithm was developed to identify patients with statin intolerance and validated against electronic medical records. However, how this algorithm compared with perceptions of statin intolerance by integrated delivery networks remains largely unknown. To determine the concurrent validity of an algorithm developed by a regional integrated delivery network multidisciplinary panel (MP) and a published ACD algorithm in identifying patients with statin intolerance. The MP consisted of 3 physicians and 2 pharmacists with expertise in cardiology, internal medicine, and formulary management. The MP algorithm used pharmacy and medical claims to identify patients with statin intolerance, classifying them as having statin intolerance if they met any of the following criteria: (a) medical claim for rhabdomyolysis, (b) medical claim for muscle weakness, (c) an outpatient medical claim for creatinine kinase assay, (d) fills for ≥ 2 different statins excluding dose increases, (e) decrease in statin dose, or (f) discontinuation of a statin with a subsequent fill for a nonstatin lipid-lowering therapy. The validated ACD algorithm identified statin intolerance as absolute intolerance with rhabdomyolysis; absolute intolerance without rhabdomyolysis (i.e., other adverse events); or as dose titration intolerance. Adult patients (aged ≥ 18 years) from the integrated delivery network with at least 1 prescription fill for a statin between January 1, 2011, and December 31, 2012 (first fill defined the index date) were identified. Patients with ≥ 1 year pre- and ≥ 2 years post-index continuous enrollment and no statin prescription fills in the pre-index period were included. The MP and

Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible

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

Venkatakrishnan, S. V.; Mohan, K. Aditya; Beattie, Keith

2016-02-14

Synchrotrons such as the Advanced Light Source (ALS) at Lawrence Berkeley National Laboratory are known as user facilities. They are sources of extremely bright X-ray beams, and scientists come from all over the world to perform experiments that require these beams. As the complexity of experiments has increased, and the size and rates of data sets has exploded, managing, analyzing and presenting the data collected at synchrotrons has been an increasing challenge. The ALS has partnered with high performance computing, fast networking, and applied mathematics groups to create a"super-facility", giving users simultaneous access to the experimental, computational, and algorithmic resourcesmore » to overcome this challenge. This combination forms an efficient closed loop, where data despite its high rate and volume is transferred and processed, in many cases immediately and automatically, on appropriate compute resources, and results are extracted, visualized, and presented to users or to the experimental control system, both to provide immediate insight and to guide decisions about subsequent experiments during beam-time. In this paper, We will present work done on advanced tomographic reconstruction algorithms to support users of the 3D micron-scale imaging instrument (Beamline 8.3.2, hard X-ray micro-tomography).« less

Operational algorithm development and refinement approaches

NASA Astrophysics Data System (ADS)

Ardanuy, Philip E.

2003-11-01

Next-generation polar and geostationary systems, such as the National Polar-orbiting Operational Environmental Satellite System (NPOESS) and the Geostationary Operational Environmental Satellite (GOES)-R, will deploy new generations of electro-optical reflective and emissive capabilities. These will include low-radiometric-noise, improved spatial resolution multi-spectral and hyperspectral imagers and sounders. To achieve specified performances (e.g., measurement accuracy, precision, uncertainty, and stability), and best utilize the advanced space-borne sensing capabilities, a new generation of retrieval algorithms will be implemented. In most cases, these advanced algorithms benefit from ongoing testing and validation using heritage research mission algorithms and data [e.g., the Earth Observing System (EOS)] Moderate-resolution Imaging Spectroradiometer (MODIS) and Shuttle Ozone Limb Scattering Experiment (SOLSE)/Limb Ozone Retreival Experiment (LORE). In these instances, an algorithm's theoretical basis is not static, but rather improves with time. Once frozen, an operational algorithm can "lose ground" relative to research analogs. Cost/benefit analyses provide a basis for change management. The challenge is in reconciling and balancing the stability, and "comfort," that today"s generation of operational platforms provide (well-characterized, known, sensors and algorithms) with the greatly improved quality, opportunities, and risks, that the next generation of operational sensors and algorithms offer. By using the best practices and lessons learned from heritage/groundbreaking activities, it is possible to implement an agile process that enables change, while managing change. This approach combines a "known-risk" frozen baseline with preset completion schedules with insertion opportunities for algorithm advances as ongoing validation activities identify and repair areas of weak performance. This paper describes an objective, adaptive implementation roadmap that

An integrated multidisciplinary algorithm for the management of spinal metastases: an International Spine Oncology Consortium report.

PubMed

Spratt, Daniel E; Beeler, Whitney H; de Moraes, Fabio Y; Rhines, Laurence D; Gemmete, Joseph J; Chaudhary, Neeraj; Shultz, David B; Smith, Sean R; Berlin, Alejandro; Dahele, Max; Slotman, Ben J; Younge, Kelly C; Bilsky, Mark; Park, Paul; Szerlip, Nicholas J

2017-12-01

Spinal metastases are becoming increasingly common because patients with metastatic disease are living longer. The close proximity of the spinal cord to the vertebral column limits many conventional therapeutic options that can otherwise be used to treat cancer. In response to this problem, an innovative multidisciplinary approach has been developed for the management of spinal metastases, leveraging the capabilities of image-guided stereotactic radiosurgery, separation surgery, vertebroplasty, and minimally invasive local ablative approaches. In this Review, we discuss the variables that should be considered during the management of these patients and review the role of each discipline and their respective management options to provide optimal care. This work is synthesised into a practical algorithm to aid clinicians in the management of patients with spinal metastasis. Copyright © 2017 Elsevier Ltd. All rights reserved.

Juggling identities of rheumatoid arthritis, motherhood and paid work - a grounded theory study.

PubMed

Feddersen, Helle; Mechlenborg Kristiansen, Tine; Tanggaard Andersen, Pernille; Hørslev-Petersen, Kim; Primdahl, Jette

2018-02-01

To explore how women with rheumatoid arthritis manage their illness, motherhood, and work life. A constructivist, grounded theory approach based on individual interviews and participant observations with 20 women with rheumatoid arthritis who participated in work life and had children living at home or were pregnant. After initial and focused coding Goffman's concepts of social identity were applied. A core category: "Juggling meaningful identities" and three conceptual categories were developed: (1) Work life as the strongest identity marker; (2) Motherhood: a two-sided act; (3) Living with rheumatoid arthritis as an identity? Paid work, motherhood, and illness are linked to the women's social identities. The women construct and change their identities in interactions with children, partners, other parents, colleagues, and employers. The women attribute the highest priority to their professional identity, spending the majority of their time and energy in an effort to appear as "good stable workers". The disease is seen as a hindrance in this regard, and the illness identity is almost completely rejected. In motherhood, the women prioritize close interaction with their children, and deprioritize external activities. Extended outbreaks of the disease and issues regarding the children force the women to deprioritize working life. Implications for rehabilitation Juggling meaningful identities of rheumatoid arthritis, motherhood, and paid work challenge women in managing their everyday lives. Therefore, rehabilitation professionals should support individuals to develop new strategies to manage the challenges they experience regarding juggling motherhood and work ability. Work is a dominant identity marker for women with rheumatoid arthritis therefore, rehabilitation professionals have an important role to play in investigating possible ways for the individual to maintain employment or return to work. Living with rheumatoid arthritis and being a paid worker challenge

Managing risk and marginalizing identities: on the society-of-captives thesis and the harm of social dis-ease.

PubMed

Arrigo, Bruce A

2013-06-01

This article develops the constitutive features of the society-of-captives thesis as suggested by Arrigo and Milovanovic, and Arrigo, Bersot, and Sellers. The relevance of this thesis is briefly explored in relation to the institutional and community-based treatment philosophies that currently inform the mental health and criminal justice systems. This exploration specifies how risk (being human and doing humanness differently) is managed symbolically, linguistically, materially, and culturally. The management of this risk extends to the kept as well as to their keepers, regulators, and watchers (i.e., the society of captives). This article calls for a new clinical praxis (being/doing a critical mindfulness) designed to overcome the totalizing madness (the harm of social dis-ease) that follows from managing risk fearfully and marginalizing identities desperately as reified recursively through society's captivity. The ethical underpinnings of this clinical praxis represent an emergent direction for undertaking correctional policy reform.

Supply chain management using fp-growth algorithm for medicine distribution

NASA Astrophysics Data System (ADS)

Wahana, A.; Maylawati, D. S.; Irfan, M.; Effendy, H.

2018-03-01

Distribution of drugs evenly in accordance with the needs of Public Health Center (Puskesmas) become one of the responsibilities by the Health Office in Indonesia. This study aims to provide recommendations for distribution of drugs from the Department of Health according to the needs of each Puskesmas. Because often the distribution of drugs is not in accordance with the needs of medicines stock of each Puskesmas. This causes the possibility of drug stock void in Puskesmas in need, while there is excess stock of drugs in Puskesmas that do not need. Supply Chain Management (SCM) is applied as a controlling drug stock at Puskesmas in order to avoid drug vacuum or excess drug that eventually unused. In addition, the Frequent Pattern Growth (FP-Growth) algorithm that generates frequent item sets is used to provide drug distribution recommendations by looking at the highest frequency of drug occurrences and frequent drug frequencies. Based on testing black box system conducted in Health Office Purwakarta regency of Indonesia which oversees 20 Puskesmas with 100 data of drug distribution transactions, it can be concluded that system functionality is running well and SCM successfully implemented to arrange distribution process of medicine well. Furthermore FP-Growth algorithm was able to provide recommendations for distribution of drugs with a high success rate. This is evidenced by the test results with various combinations of input parameters, FP-Growth is able to produce the right frequent item sets.

BIBLIO: A Reprint File Management Algorithm

ERIC Educational Resources Information Center

Zelnio, Robert N.; And Others

1977-01-01

The development of a simple computer algorithm designed for use by the individual educator or researcher in maintaining and searching reprint files is reported. Called BIBLIO, the system is inexpensive and easy to operate and maintain without sacrificing flexibility and utility. (LBH)

Efficient algorithms for polyploid haplotype phasing.

PubMed

He, Dan; Saha, Subrata; Finkers, Richard; Parida, Laxmi

2018-05-09

Inference of haplotypes, or the sequence of alleles along the same chromosomes, is a fundamental problem in genetics and is a key component for many analyses including admixture mapping, identifying regions of identity by descent and imputation. Haplotype phasing based on sequencing reads has attracted lots of attentions. Diploid haplotype phasing where the two haplotypes are complimentary have been studied extensively. In this work, we focused on Polyploid haplotype phasing where we aim to phase more than two haplotypes at the same time from sequencing data. The problem is much more complicated as the search space becomes much larger and the haplotypes do not need to be complimentary any more. We proposed two algorithms, (1) Poly-Harsh, a Gibbs Sampling based algorithm which alternatively samples haplotypes and the read assignments to minimize the mismatches between the reads and the phased haplotypes, (2) An efficient algorithm to concatenate haplotype blocks into contiguous haplotypes. Our experiments showed that our method is able to improve the quality of the phased haplotypes over the state-of-the-art methods. To our knowledge, our algorithm for haplotype blocks concatenation is the first algorithm that leverages the shared information across multiple individuals to construct contiguous haplotypes. Our experiments showed that it is both efficient and effective.

Closed Loop System Identification with Genetic Algorithms

NASA Technical Reports Server (NTRS)

Whorton, Mark S.

2004-01-01

High performance control design for a flexible space structure is challenging since high fidelity plant models are di.cult to obtain a priori. Uncertainty in the control design models typically require a very robust, low performance control design which must be tuned on-orbit to achieve the required performance. Closed loop system identi.cation is often required to obtain a multivariable open loop plant model based on closed-loop response data. In order to provide an accurate initial plant model to guarantee convergence for standard local optimization methods, this paper presents a global parameter optimization method using genetic algorithms. A minimal representation of the state space dynamics is employed to mitigate the non-uniqueness and over-parameterization of general state space realizations. This control-relevant system identi.cation procedure stresses the joint nature of the system identi.cation and control design problem by seeking to obtain a model that minimizes the di.erence between the predicted and actual closed-loop performance.

A multiobjective optimization model and an orthogonal design-based hybrid heuristic algorithm for regional urban mining management problems.

PubMed

Wu, Hao; Wan, Zhong

2018-02-01

In this paper, a multiobjective mixed-integer piecewise nonlinear programming model (MOMIPNLP) is built to formulate the management problem of urban mining system, where the decision variables are associated with buy-back pricing, choices of sites, transportation planning, and adjustment of production capacity. Different from the existing approaches, the social negative effect, generated from structural optimization of the recycling system, is minimized in our model, as well as the total recycling profit and utility from environmental improvement are jointly maximized. For solving the problem, the MOMIPNLP model is first transformed into an ordinary mixed-integer nonlinear programming model by variable substitution such that the piecewise feature of the model is removed. Then, based on technique of orthogonal design, a hybrid heuristic algorithm is developed to find an approximate Pareto-optimal solution, where genetic algorithm is used to optimize the structure of search neighborhood, and both local branching algorithm and relaxation-induced neighborhood search algorithm are employed to cut the searching branches and reduce the number of variables in each branch. Numerical experiments indicate that this algorithm spends less CPU (central processing unit) time in solving large-scale regional urban mining management problems, especially in comparison with the similar ones available in literature. By case study and sensitivity analysis, a number of practical managerial implications are revealed from the model. Since the metal stocks in society are reliable overground mineral sources, urban mining has been paid great attention as emerging strategic resources in an era of resource shortage. By mathematical modeling and development of efficient algorithms, this paper provides decision makers with useful suggestions on the optimal design of recycling system in urban mining. For example, this paper can answer how to encourage enterprises to join the recycling activities

Efficient sequential and parallel algorithms for record linkage.

PubMed

Mamun, Abdullah-Al; Mi, Tian; Aseltine, Robert; Rajasekaran, Sanguthevar

2014-01-01

Integrating data from multiple sources is a crucial and challenging problem. Even though there exist numerous algorithms for record linkage or deduplication, they suffer from either large time needs or restrictions on the number of datasets that they can integrate. In this paper we report efficient sequential and parallel algorithms for record linkage which handle any number of datasets and outperform previous algorithms. Our algorithms employ hierarchical clustering algorithms as the basis. A key idea that we use is radix sorting on certain attributes to eliminate identical records before any further processing. Another novel idea is to form a graph that links similar records and find the connected components. Our sequential and parallel algorithms have been tested on a real dataset of 1,083,878 records and synthetic datasets ranging in size from 50,000 to 9,000,000 records. Our sequential algorithm runs at least two times faster, for any dataset, than the previous best-known algorithm, the two-phase algorithm using faster computation of the edit distance (TPA (FCED)). The speedups obtained by our parallel algorithm are almost linear. For example, we get a speedup of 7.5 with 8 cores (residing in a single node), 14.1 with 16 cores (residing in two nodes), and 26.4 with 32 cores (residing in four nodes). We have compared the performance of our sequential algorithm with TPA (FCED) and found that our algorithm outperforms the previous one. The accuracy is the same as that of this previous best-known algorithm.

Multi-period response management to contaminated water distribution networks: dynamic programming versus genetic algorithms

NASA Astrophysics Data System (ADS)

Bashi-Azghadi, Seyyed Nasser; Afshar, Abbas; Afshar, Mohammad Hadi

2018-03-01

Previous studies on consequence management assume that the selected response action including valve closure and/or hydrant opening remains unchanged during the entire management period. This study presents a new embedded simulation-optimization methodology for deriving time-varying operational response actions in which the network topology may change from one stage to another. Dynamic programming (DP) and genetic algorithm (GA) are used in order to minimize selected objective functions. Two networks of small and large sizes are used in order to illustrate the performance of the proposed modelling schemes if a time-dependent consequence management strategy is to be implemented. The results show that for a small number of decision variables even in large-scale networks, DP is superior in terms of accuracy and computer runtime. However, as the number of potential actions grows, DP loses its merit over the GA approach. This study clearly proves the priority of the proposed dynamic operation strategy over the commonly used static strategy.

Constructing nurses' professional identity through social identity theory.

PubMed

Willetts, Georgina; Clarke, David

2014-04-01

The profession of nursing continues to struggle with defining and clarifying its professional identity. The definitive recognition of nursing as a profession was the moving of training from the hospital apprentice model to the tertiary sector. However, this is only part of the story of professional identity in nursing. Once training finishes and enculturation into the workplace commences, professional identity becomes a complicated social activity. This paper proposes social identity theory as a valuable research framework to assist with clarifying and describing the professional identity of nurses. The paper outlines the key elements of a profession and then goes on to describe the main concepts of social identity theory. Lastly, a connection is made between the usefulness of using social identity theory in researching professional identity in nursing, recognizing the contextual nature of the social activity of the profession within its workplace environment. © 2013 Wiley Publishing Asia Pty Ltd.

Implementation and impact of a consensus diagnostic and management algorithm for complicated pneumonia in children.

PubMed

Pillai, Dinesh; Song, Xiaoyan; Pastor, William; Ottolini, Mary; Powell, David; Wiedermann, Bernhard L; DeBiasi, Roberta L

2011-12-01

Variable treatment exists for children with bacterial pneumonia complications such as pleural effusion and empyema. Subspecialists at an urban academic tertiary children's hospital created a literature-based diagnosis and management algorithm for complicated pneumonia in children. We proposed that algorithm implementation would reduce use of computed tomography (CT) for diagnosis of pleural infection, thereby decreasing radiation exposure, without increased adverse outcomes. A cross-sectional study was undertaken in children (3 months to 20 years old) with principal or secondary diagnosis codes for empyema and/or pleural effusion in conjunction with bacterial pneumonia. Study cohorts consisted of subjects admitted 15 months before (cohort 1, n = 83) and after (cohort 2, n = 87) algorithm implementation. Data were collected using clinical and financial data systems. Imaging studies and procedures were identified using Current Procedural Terminology codes. Statistical analysis included χ test, linear and ordinal regression, and analysis of variance. Age (P = 0.56), sex (P = 0.30), diagnoses (P = 0.12), and severity level (P = 0.84) were similar between cohorts. There was a significant decrease in CT use in cohort 2 (cohort 1, 60% vs cohort 2, 17.2%; P = 0.001) and reduction in readmission rate (7.7% vs 0%; P = 0.01) and video-assisted thoracoscopic surgery procedures (44.6% vs 28.7; P = 0.03), without concomitant increases in vancomycin use (34.9% vs 34.5%; P = 0.95) or hospital length of stay (6.4 vs 7.6 days; P = 0.4). Among patients who received video-assisted thoracoscopic surgery drainage (n = 57), there were no significant differences between cohorts in median time from admission to video-assisted thoracoscopic surgery (2 days; P = 0.29) or median duration of chest tube drainage (3 vs 4 days; P = 0.10). There was a statistically nonsignificant trend for higher rate of pathogen identification in cohort 2 (cohort 1, 33% vs cohort 2, 54.1%; P = 0

Current management of gender identity disorder in childhood and adolescence: guidelines, barriers and areas of controversy.

PubMed

Shumer, Daniel E; Spack, Norman P

2013-02-01

The approach to gender identity disorder (GID) in childhood and adolescence has been rapidly evolving and is in a state of flux. In an effort to form management recommendations on the basis of the available literature, The Endocrine Society published clinical practice guidelines in 2009. The guidelines recommend against sex role change in prepubertal children, but they recommend the use of gonadotropin-releasing hormone (GnRH) agonists to suppress puberty in adolescence, and the use of cross-sex hormones starting around age 16 for eligible patients. In actual practice, the approach to GID is quite variable due to continued lack of consensus and specific barriers to treatment that are unique to GID. Recent literature has focused on the mental health approach to prepubertal children with GID and short-term outcomes using pubertal suppression and cross-sex steroids in adolescents with GID. This review will describe the literature published since the release of The Endocrine Society guidelines regarding the management of GID in both children and adolescents.

Resolving an identity crisis: Implicit drinking identity and implicit alcohol identity are related but not the same.

PubMed

Ramirez, Jason J; Olin, Cecilia C; Lindgren, Kristen P

2017-09-01

Two variations of the Implicit Association Test (IAT), the Drinking Identity IAT and the Alcohol Identity IAT, assess implicit associations held in memory between one's identity and alcohol-related constructs. Both have been shown to predict numerous drinking outcomes, but these IATs have never been directly compared to one another. The purpose of this study was to compare these IATs and evaluate their incremental predictive validity. US undergraduate students (N=64, 50% female, mean age=21.98years) completed the Drinking Identity IAT, the Alcohol Identity IAT, an explicit measure of drinking identity, as well as measures of typical alcohol consumption and hazardous drinking. When evaluated in separate regression models that controlled for explicit drinking identity, results indicated that the Drinking Identity IAT and the Alcohol Identity IAT were significant, positive predictors of typical alcohol consumption, and that the Drinking Identity IAT, but not the Alcohol Identity IAT, was a significant predictor of hazardous drinking. When evaluated in the same regression models, the Drinking Identity IAT, but not the Alcohol Identity IAT, was significantly associated with typical and hazardous drinking. These results suggest that the Drinking Identity IAT and Alcohol Identity IAT are related but not redundant. Moreover, given that the Drinking Identity IAT, but not the Alcohol Identity IAT, incrementally predicted variance in drinking outcomes, identification with drinking behavior and social groups, as opposed to identification with alcohol itself, may be an especially strong predictor of drinking outcomes. Copyright © 2017 Elsevier Ltd. All rights reserved.

ALGOS: the development of a randomized controlled trial testing a case management algorithm designed to reduce suicide risk among suicide attempters

PubMed Central

2011-01-01

Background Suicide attempts (SA) constitute a serious clinical problem. People who attempt suicide are at high risk of further repetition. However, no interventions have been shown to be effective in reducing repetition in this group of patients. Methods/Design Multicentre randomized controlled trial. We examine the effectiveness of «ALGOS algorithm»: an intervention based in a decisional tree of contact type which aims at reducing the incidence of repeated suicide attempt during 6 months. This algorithm of case management comprises the two strategies of intervention that showed a significant reduction in the number of SA repeaters: systematic telephone contact (ineffective in first-attempters) and «Crisis card» (effective only in first-attempters). Participants who are lost from contact and those refusing healthcare, can then benefit from «short letters» or «postcards». Discussion ALGOS algorithm is easily reproducible and inexpensive intervention that will supply the guidelines for assessment and management of a population sometimes in difficulties with healthcare compliance. Furthermore, it will target some of these subgroups of patients by providing specific interventions for optimizing the benefits of case management strategy. Trial Registration The study was registered with the ClinicalTrials.gov Registry; number: NCT01123174. PMID:21194496

Partnership in optimizing management of reflux symptoms: a treatment algorithm for over-the-counter proton-pump inhibitors.

PubMed

Boardman, Helen F; Delaney, Brendan C; Haag, Sebastian

2015-01-01

Uncomplicated heartburn and acid regurgitation are increasingly treated and managed using over-the-counter medications. However, with over-the-counter availability of antacids, alginates, histamine 2 receptor antagonists (H2RAs), and proton-pump inhibitors (PPIs), consumers need guidance as to appropriate options and how to use them. Relevant guidelines, studies, and reviews were identified via literature searches of PubMed/Medline and Google Scholar, as well as cross-referencing from the identified papers. Antacids, alginates, and H2RAs are best suited to management of occasional heartburn, taken either before provocative meals or other triggers or on demand when symptoms arise. Over-the-counter PPIs are appropriate options across the range of symptom severity/frequency typically encountered in the pharmacy, but may be particularly appropriate for treatment of those with frequent and/or very bothersome heartburn. A 2-4 week course of daily PPIs can lead to complete resolution of frequent heartburn. Counseling is important to ensure that patients understand that failure of symptoms to resolve or a rapid return of symptoms while taking a PPI is an indication to consult a doctor, whereas a return of symptoms after a period of months may be an indication for just another course of treatment. The need for effective communication and for ensuring use of the correct medication in the over-the-counter setting puts much of the responsibility for management of heartburn and acid regurgitation on the pharmacist. A proposed algorithm that details when and how to use available over-the-counter medications is presented. This algorithm also highlights alarm features and atypical symptoms indicative of other underlying conditions that should be referred directly to a physician. Implementation of a simple algorithm will empower pharmacists and consumers alike and ensure consistent and appropriate care.

The congestion control algorithm based on queue management of each node in mobile ad hoc networks

NASA Astrophysics Data System (ADS)

Wei, Yifei; Chang, Lin; Wang, Yali; Wang, Gaoping

2016-12-01

This paper proposes an active queue management mechanism, considering the node's own ability and its importance in the network to set the queue threshold. As the network load increases, local congestion of mobile ad hoc network may lead to network performance degradation, hot node's energy consumption increase even failure. If small energy nodes congested because of forwarding data packets, then when it is used as the source node will cause a lot of packet loss. This paper proposes an active queue management mechanism, considering the node's own ability and its importance in the network to set the queue threshold. Controlling nodes buffer queue in different levels of congestion area probability by adjusting the upper limits and lower limits, thus nodes can adjust responsibility of forwarding data packets according to their own situation. The proposed algorithm will slow down the send rate hop by hop along the data package transmission direction from congestion node to source node so that to prevent further congestion from the source node. The simulation results show that, the algorithm can better play the data forwarding ability of strong nodes, protect the weak nodes, can effectively alleviate the network congestion situation.

New nurse transition: success through aligning multiple identities.

PubMed

Leong, Yee Mun Jessica; Crossman, Joanna

2015-01-01

The purpose of this paper is to explore the perceptions of new nurses in Singapore of their experiences of role transition and to examine the implications for managers in terms of employee training, development and retention. This qualitative study was conducted using a constructivist grounded theory approach. In total 26 novice nurses and five preceptors (n=31) from five different hospitals participated in the study. Data were collected from semi-structured interviews and reflective journal entries and analysed using the constant comparative method. The findings revealed that novice nurses remained emotionally and physically challenged when experiencing role transition. Two major constructs appear to play an important part in the transition process; learning how to Fit in and aligning personal with professional and organisational identities. The findings highlight factors that facilitate or impede Fitting in and aligning these identities. Although the concept of Fitting in and its relation to the attrition of novice nurses has been explored in global studies, that relationship has not yet been theorised as the dynamic alignment of multiple identities. Also, whilst most research around Fitting in, identity and retention has been conducted in western countries, little is known about these issues and their interrelationship in the context of Singapore. The study should inform decision making by healthcare organisations, nurse managers and nursing training institutions with respect to improving the transition experience of novice nurses.

Multi-vehicle detection with identity awareness using cascade Adaboost and Adaptive Kalman filter for driver assistant system.

PubMed

Wang, Baofeng; Qi, Zhiquan; Chen, Sizhong; Liu, Zhaodu; Ma, Guocheng

2017-01-01

Vision-based vehicle detection is an important issue for advanced driver assistance systems. In this paper, we presented an improved multi-vehicle detection and tracking method using cascade Adaboost and Adaptive Kalman filter(AKF) with target identity awareness. A cascade Adaboost classifier using Haar-like features was built for vehicle detection, followed by a more comprehensive verification process which could refine the vehicle hypothesis in terms of both location and dimension. In vehicle tracking, each vehicle was tracked with independent identity by an Adaptive Kalman filter in collaboration with a data association approach. The AKF adaptively adjusted the measurement and process noise covariance through on-line stochastic modelling to compensate the dynamics changes. The data association correctly assigned different detections with tracks using global nearest neighbour(GNN) algorithm while considering the local validation. During tracking, a temporal context based track management was proposed to decide whether to initiate, maintain or terminate the tracks of different objects, thus suppressing the sparse false alarms and compensating the temporary detection failures. Finally, the proposed method was tested on various challenging real roads, and the experimental results showed that the vehicle detection performance was greatly improved with higher accuracy and robustness.

Multi-vehicle detection with identity awareness using cascade Adaboost and Adaptive Kalman filter for driver assistant system

PubMed Central

Wang, Baofeng; Qi, Zhiquan; Chen, Sizhong; Liu, Zhaodu; Ma, Guocheng

2017-01-01

Vision-based vehicle detection is an important issue for advanced driver assistance systems. In this paper, we presented an improved multi-vehicle detection and tracking method using cascade Adaboost and Adaptive Kalman filter(AKF) with target identity awareness. A cascade Adaboost classifier using Haar-like features was built for vehicle detection, followed by a more comprehensive verification process which could refine the vehicle hypothesis in terms of both location and dimension. In vehicle tracking, each vehicle was tracked with independent identity by an Adaptive Kalman filter in collaboration with a data association approach. The AKF adaptively adjusted the measurement and process noise covariance through on-line stochastic modelling to compensate the dynamics changes. The data association correctly assigned different detections with tracks using global nearest neighbour(GNN) algorithm while considering the local validation. During tracking, a temporal context based track management was proposed to decide whether to initiate, maintain or terminate the tracks of different objects, thus suppressing the sparse false alarms and compensating the temporary detection failures. Finally, the proposed method was tested on various challenging real roads, and the experimental results showed that the vehicle detection performance was greatly improved with higher accuracy and robustness. PMID:28296902

[Womanhood today--identity experiences and identity crises].

PubMed

Kast, V

1985-01-01

Modern women's identity crises and the various possibilities of identification along the way towards a new identity can be seen as her attempts to develop out of the depressive situation that her once normal role identity had, to a large extent, placed her in. Under this aspect, even concepts of living that are seen by many to be problematic can be justified as leading along the way towards identity, which is so essential for human relationships and interpersonal empathy.

Development of Professional Identity in SMEs.

ERIC Educational Resources Information Center

Puurula, Arja; Lofstrom, Erika

This paper describes a study of the development of professional identity among employees in small and medium sized enterprises (SMEs) participating in large-scale company-wide training programs. Managers and employees in 175 SMEs in Finland participated. These two research questions were posed: (1) are there differences in the perceptions of…

Efficient sequential and parallel algorithms for record linkage

PubMed Central

Mamun, Abdullah-Al; Mi, Tian; Aseltine, Robert; Rajasekaran, Sanguthevar

2014-01-01

Background and objective Integrating data from multiple sources is a crucial and challenging problem. Even though there exist numerous algorithms for record linkage or deduplication, they suffer from either large time needs or restrictions on the number of datasets that they can integrate. In this paper we report efficient sequential and parallel algorithms for record linkage which handle any number of datasets and outperform previous algorithms. Methods Our algorithms employ hierarchical clustering algorithms as the basis. A key idea that we use is radix sorting on certain attributes to eliminate identical records before any further processing. Another novel idea is to form a graph that links similar records and find the connected components. Results Our sequential and parallel algorithms have been tested on a real dataset of 1 083 878 records and synthetic datasets ranging in size from 50 000 to 9 000 000 records. Our sequential algorithm runs at least two times faster, for any dataset, than the previous best-known algorithm, the two-phase algorithm using faster computation of the edit distance (TPA (FCED)). The speedups obtained by our parallel algorithm are almost linear. For example, we get a speedup of 7.5 with 8 cores (residing in a single node), 14.1 with 16 cores (residing in two nodes), and 26.4 with 32 cores (residing in four nodes). Conclusions We have compared the performance of our sequential algorithm with TPA (FCED) and found that our algorithm outperforms the previous one. The accuracy is the same as that of this previous best-known algorithm. PMID:24154837

New Century, New Identities: Building on a Typology of Nonheterosexual College Men

ERIC Educational Resources Information Center

Dilley, Patrick

2010-01-01

Drawing on recent ethnographic studies of nonheterosexual youth, nonheterosexual identity development, and online collegiate identity management, this article outlines an extension of prior typological work concerning nonheterosexual male college students proposed by the author. Two new types ("Twitter Twinks" and "Lads Without Labels") are…

The Applications of Genetic Algorithms in Medicine.

PubMed

Ghaheri, Ali; Shoar, Saeed; Naderan, Mohammad; Hoseini, Sayed Shahabuddin

2015-11-01

A great wealth of information is hidden amid medical research data that in some cases cannot be easily analyzed, if at all, using classical statistical methods. Inspired by nature, metaheuristic algorithms have been developed to offer optimal or near-optimal solutions to complex data analysis and decision-making tasks in a reasonable time. Due to their powerful features, metaheuristic algorithms have frequently been used in other fields of sciences. In medicine, however, the use of these algorithms are not known by physicians who may well benefit by applying them to solve complex medical problems. Therefore, in this paper, we introduce the genetic algorithm and its applications in medicine. The use of the genetic algorithm has promising implications in various medical specialties including radiology, radiotherapy, oncology, pediatrics, cardiology, endocrinology, surgery, obstetrics and gynecology, pulmonology, infectious diseases, orthopedics, rehabilitation medicine, neurology, pharmacotherapy, and health care management. This review introduces the applications of the genetic algorithm in disease screening, diagnosis, treatment planning, pharmacovigilance, prognosis, and health care management, and enables physicians to envision possible applications of this metaheuristic method in their medical career.].

The Applications of Genetic Algorithms in Medicine

PubMed Central

Ghaheri, Ali; Shoar, Saeed; Naderan, Mohammad; Hoseini, Sayed Shahabuddin

2015-01-01

A great wealth of information is hidden amid medical research data that in some cases cannot be easily analyzed, if at all, using classical statistical methods. Inspired by nature, metaheuristic algorithms have been developed to offer optimal or near-optimal solutions to complex data analysis and decision-making tasks in a reasonable time. Due to their powerful features, metaheuristic algorithms have frequently been used in other fields of sciences. In medicine, however, the use of these algorithms are not known by physicians who may well benefit by applying them to solve complex medical problems. Therefore, in this paper, we introduce the genetic algorithm and its applications in medicine. The use of the genetic algorithm has promising implications in various medical specialties including radiology, radiotherapy, oncology, pediatrics, cardiology, endocrinology, surgery, obstetrics and gynecology, pulmonology, infectious diseases, orthopedics, rehabilitation medicine, neurology, pharmacotherapy, and health care management. This review introduces the applications of the genetic algorithm in disease screening, diagnosis, treatment planning, pharmacovigilance, prognosis, and health care management, and enables physicians to envision possible applications of this metaheuristic method in their medical career.] PMID:26676060

Systematic review: predicting and optimising response to anti-TNF therapy in Crohn's disease - algorithm for practical management.

PubMed

Ding, N S; Hart, A; De Cruz, P

2016-01-01

Nonresponse and loss of response to anti-TNF therapies in Crohn's disease represent significant clinical problems for which clear management guidelines are lacking. To review the incidence, mechanisms and predictors of primary nonresponse and secondary loss of response to formulate practical clinical algorithms to guide management. Through a systematic literature review, 503 articles were identified which fit the inclusion criteria. Primary nonresponse to anti-TNF treatment affects 13-40% of patients. Secondary loss of response to anti-TNF occurs in 23-46% of patients when determined according to dose intensification, and 5-13% of patients when gauged by drug discontinuation rates. Recent evidence suggests that the mechanisms underlying primary nonresponse and secondary loss of response are multifactorial and include disease characteristics (phenotype, location, severity); drug (pharmacokinetic, pharmacodynamic or immunogenicity) and treatment strategy (dosing regimen) related factors. Clinical algorithms that employ therapeutic drug monitoring (using anti-TNF tough levels and anti-drug antibody levels) may be used to determine the underlying cause of primary nonresponse and secondary loss of response respectively and guide clinicians as to which patients are most likely to respond to anti-TNF therapy and help optimise drug therapy for those who are losing response to anti-TNF therapy. Nonresponse or loss of response to anti-TNF occurs commonly in Crohn's disease. Clinical algorithms utilising therapeutic drug monitoring may establish the mechanisms for treatment failure and help guide the subsequent therapeutic approach. © 2015 John Wiley & Sons Ltd.

Nuclear fuel management optimization using genetic algorithms

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

DeChaine, M.D.; Feltus, M.A.

1995-07-01

The code independent genetic algorithm reactor optimization (CIGARO) system has been developed to optimize nuclear reactor loading patterns. It uses genetic algorithms (GAs) and a code-independent interface, so any reactor physics code (e.g., CASMO-3/SIMULATE-3) can be used to evaluate the loading patterns. The system is compared to other GA-based loading pattern optimizers. Tests were carried out to maximize the beginning of cycle k{sub eff} for a pressurized water reactor core loading with a penalty function to limit power peaking. The CIGARO system performed well, increasing the k{sub eff} after lowering the peak power. Tests of a prototype parallel evaluation methodmore » showed the potential for a significant speedup.« less

The Scatter Search Based Algorithm to Revenue Management Problem in Broadcasting Companies

NASA Astrophysics Data System (ADS)

Pishdad, Arezoo; Sharifyazdi, Mehdi; Karimpour, Reza

2009-09-01

The problem under question in this paper which is faced by broadcasting companies is how to benefit from a limited advertising space. This problem is due to the stochastic behavior of customers (advertiser) in different fare classes. To address this issue we propose a mathematical constrained nonlinear multi period model which incorporates cancellation and overbooking. The objective function is to maximize the total expected revenue and our numerical method performs it by determining the sales limits for each class of customer to present the revenue management control policy. Scheduling the advertising spots in breaks is another area of concern and we consider it as a constraint in our model. In this paper an algorithm based on Scatter search is developed to acquire a good feasible solution. This method uses simulation over customer arrival and in a continuous finite time horizon [0, T]. Several sensitivity analyses are conducted in computational result for depicting the effectiveness of proposed method. It also provides insight into better results of considering revenue management (control policy) compared to "no sales limit" policy in which sooner demand will served first.

Algorithmic Case Pedagogy, Learning and Gender

ERIC Educational Resources Information Center

Bromley, Robert; Huang, Zhenyu

2015-01-01

Great investment has been made in developing algorithmically-based cases within online homework management systems. This has been done because publishers are convinced that textbook adoption decisions are influenced by the incorporation of these systems within their products. These algorithmic assignments are thought to promote learning while…

PTM Along Track Algorithm to Maintain Spacing During Same Direction Pair-Wise Trajectory Management Operations

NASA Technical Reports Server (NTRS)

Carreno, Victor A.

2015-01-01

Pair-wise Trajectory Management (PTM) is a cockpit based delegated responsibility separation standard. When an air traffic service provider gives a PTM clearance to an aircraft and the flight crew accepts the clearance, the flight crew will maintain spacing and separation from a designated aircraft. A PTM along track algorithm will receive state information from the designated aircraft and from the own ship to produce speed guidance for the flight crew to maintain spacing and separation

Patient Privacy, Consent, and Identity Management in Health Information Exchange: Issues for the Military Health System.

PubMed

Hosek, Susan D; Straus, Susan G

2013-01-01

The Military Health System (MHS) and the Veterans Health Administration (VHA) have been among the nation's leaders in health information technology (IT), including the development of health IT systems and electronic health records that summarize patients' care from multiple providers. Health IT interoperability within MHS and across MHS partners, including VHA, is one of ten goals in the current MHS Strategic Plan. As a step toward achieving improved interoperability, the MHS is seeking to develop a research roadmap to better coordinate health IT research efforts, address IT capability gaps, and reduce programmatic risk for its enterprise projects. This article contributes to that effort by identifying gaps in research, policy, and practice involving patient privacy, consent, and identity management that need to be addressed to bring about improved quality and efficiency of care through health information exchange. Major challenges include (1) designing a meaningful patient consent procedure, (2) recording patients' consent preferences and designing procedures to implement restrictions on disclosures of protected health information, and (3) advancing knowledge regarding the best technical approaches to performing patient identity matches and how best to monitor results over time. Using a sociotechnical framework, this article suggests steps for overcoming these challenges and topics for future research.

Brief report: the Utrecht-Management of Identity Commitments Scale (U-MICS): gender and age measurement invariance and convergent validity of the Turkish version.

PubMed

Morsunbul, Umit; Crocetti, Elisabetta; Cok, Figen; Meeus, Wim

2014-08-01

The purpose of this study was to evaluate the factor structure and convergent validity of the Turkish version of the Utrecht-Management of Identity Commitments Scale (U-MICS). Participants were 1201 (59.6% females) youth aged between 12 and 24 years (M(age) = 17.53 years, SD(age) = 3.25). Results indicated that the three-factor model consisting of commitment, in-depth exploration, and reconsideration of commitment provided a very good fit to the data and applied equally well to boys and girls as well as to three age groups (early adolescents, middle adolescents, and emerging adults). Significant relations between identity processes and self-concept clarity, personality, internalizing and externalizing problem behaviors, and parental relationships supported convergent validity. Thus, the Turkish version of U-MICS is a reliable tool for assessing identity in Turkish-speaking respondents. Copyright © 2014 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Harmony search algorithm: application to the redundancy optimization problem

NASA Astrophysics Data System (ADS)

Nahas, Nabil; Thien-My, Dao

2010-09-01

The redundancy optimization problem is a well known NP-hard problem which involves the selection of elements and redundancy levels to maximize system performance, given different system-level constraints. This article presents an efficient algorithm based on the harmony search algorithm (HSA) to solve this optimization problem. The HSA is a new nature-inspired algorithm which mimics the improvization process of music players. Two kinds of problems are considered in testing the proposed algorithm, with the first limited to the binary series-parallel system, where the problem consists of a selection of elements and redundancy levels used to maximize the system reliability given various system-level constraints; the second problem for its part concerns the multi-state series-parallel systems with performance levels ranging from perfect operation to complete failure, and in which identical redundant elements are included in order to achieve a desirable level of availability. Numerical results for test problems from previous research are reported and compared. The results of HSA showed that this algorithm could provide very good solutions when compared to those obtained through other approaches.

Algorithmic Management for Improving Collective Productivity in Crowdsourcing.

PubMed

Yu, Han; Miao, Chunyan; Chen, Yiqiang; Fauvel, Simon; Li, Xiaoming; Lesser, Victor R

2017-10-02

Crowdsourcing systems are complex not only because of the huge number of potential strategies for assigning workers to tasks, but also due to the dynamic characteristics associated with workers. Maximizing social welfare in such situations is known to be NP-hard. To address these fundamental challenges, we propose the surprise-minimization-value-maximization (SMVM) approach. By analysing typical crowdsourcing system dynamics, we established a simple and novel worker desirability index (WDI) jointly considering the effect of each worker's reputation, workload and motivation to work on collective productivity. Through evaluating workers' WDI values, SMVM influences individual workers in real time about courses of action which can benefit the workers and lead to high collective productivity. Solutions can be produced in polynomial time and are proven to be asymptotically bounded by a theoretical optimal solution. High resolution simulations based on a real-world dataset demonstrate that SMVM significantly outperforms state-of-the-art approaches. A large-scale 3-year empirical study involving 1,144 participants in over 9,000 sessions shows that SMVM outperforms human task delegation decisions over 80% of the time under common workload conditions. The approach and results can help engineer highly scalable data-driven algorithmic management decision support systems for crowdsourcing.

Exercisers' identities and exercise dependence: the mediating effect of exercise commitment.

PubMed

Lu, Frank Jing-Horng; Hsu, Eva Ya-Wen; Wang, Junn-Ming; Huang, Mei-Yao; Chang, Jo-Ning; Wang, Chien-Hsin

2012-10-01

The purpose of this study was to examine the associations of exercise identity, exercise commitment, exercise dependence, and, particularly, the mediating effects of exercise commitment on the relationship between exercise identity and exercise dependence. 253 Taiwanese regular exercisers completed measures, including the Exercise Dependence Scale-Revised, the Exercise Identity Scale, the Exercise Commitment Scale, and the Godin Leisure Time Exercise Questionnaire. Results showed that exercise identity, exercise dependence, and two types of exercise commitment were moderately to highly correlated. Furthermore, structural equation modelling indicated that a "have to" commitment partially mediated the relationship between exercise identity and exercise dependence. Based on the mediating role of a "have to" commitment, the findings are particularly informative to exercise instructors and for exercise program managers.

Cubic scaling algorithms for RPA correlation using interpolative separable density fitting

NASA Astrophysics Data System (ADS)

Lu, Jianfeng; Thicke, Kyle

2017-12-01

We present a new cubic scaling algorithm for the calculation of the RPA correlation energy. Our scheme splits up the dependence between the occupied and virtual orbitals in χ0 by use of Cauchy's integral formula. This introduces an additional integral to be carried out, for which we provide a geometrically convergent quadrature rule. Our scheme also uses the newly developed Interpolative Separable Density Fitting algorithm to further reduce the computational cost in a way analogous to that of the Resolution of Identity method.

Spontaneous Intramuscular Hematomas of the Abdomen and Pelvis: A New Multilevel Algorithm to Direct Transarterial Embolization and Patient Management.

PubMed

Popov, Milen; Sotiriadis, Charalampos; Gay, Frederique; Jouannic, Anne-Marie; Lachenal, Yann; Hajdu, Steven D; Doenz, Francesco; Qanadli, Salah D

2017-04-01

To report our experience using a multilevel patient management algorithm to direct transarterial embolization (TAE) in managing spontaneous intramuscular hematoma (SIMH). From May 2006 to January 2014, twenty-seven patients with SIMH had been referred for TAE to our Radiology department. Clinical status and coagulation characteristics of the patients are analyzed. An algorithm integrating CT findings is suggested to manage SIMH. Patients were classified into three groups: Type I, SIMH with no active bleeding (AB); Type II, SIMH with AB and no muscular fascia rupture (MFR); and Type III, SIMH with MFR and AB. Type II is furthermore subcategorized as IIa, IIb and IIc. Types IIb, IIc and III were considered for TAE. The method of embolization as well as the material been used are described. Continuous variables are presented as mean ± SD. Categorical variables are reported as percentages. Technical success, clinical success, complications and 30-day mortality (d30 M) were analyzed. Two patients (7.5%) had Type IIb, four (15%) Type IIc and 21 (77.5%) presented Type III. The detailed CT and CTA findings, embolization procedure and materials used are described. Technical success was 96% with a complication rate of 4%. Clinical success was 88%. The bleeding-related thirty-day mortality was 15% (all with Type III). TAE is a safe and efficient technique to control bleeding that should be considered in selected SIMH as soon as possible. The proposed algorithm integrating CT features provides a comprehensive chart to select patients for TAE. 4.

LAWS simulation: Sampling strategies and wind computation algorithms

NASA Technical Reports Server (NTRS)

Emmitt, G. D. A.; Wood, S. A.; Houston, S. H.

1989-01-01

In general, work has continued on developing and evaluating algorithms designed to manage the Laser Atmospheric Wind Sounder (LAWS) lidar pulses and to compute the horizontal wind vectors from the line-of-sight (LOS) measurements. These efforts fall into three categories: Improvements to the shot management and multi-pair algorithms (SMA/MPA); observing system simulation experiments; and ground-based simulations of LAWS.

Insulin algorithms in the self-management of insulin-dependent diabetes: the interactive 'Apple Juice' program.

PubMed

Williams, A G

1996-01-01

The 'Apple Juice' program is an interactive diabetes self-management program which runs on a lap-top Macintosh Powerbook 100 computer. The dose-by-dose insulin advisory program was initially designed for children with insulin-dependent (type 1) diabetes mellitus. It utilizes several different insulin algorithms, measurement formulae, and compensation factors for meals, activity, medication and the dawn phenomenon. It was developed to assist the individual with diabetes and/or care providers, in determining specific insulin dosage recommendations throughout a 24 h period. Information technology functions include, but are not limited to automated record keeping, data recall, event reminders, data trend/pattern analyses and education. This paper highlights issues, observations and recommendations surrounding the use of the current version of the software, along with a detailed description of the insulin algorithms and measurement formulae applied successfully with the author's daughter over a six year period.

Gender identity disorder and its medico-legal considerations.

PubMed

Sharma, B R

2007-01-01

The general belief among behavioural scientists and physicians is that gender identity disorder or transsexualism is an identifiable and incapacitating disease which can be diagnosed and successfully treated by reassignment surgery in carefully selected patients. Although many advances have been made in the reassignment surgery techniques, phalloplasty still remains a major challenge; to date, no ideal technique has been developed. The new gender created by the reassignment surgery has, in turn, led to many legal complications for post-operative transsexuals because, in many developed and the developing countries, transsexuals are not given a legal identity, thereby adding to their agonies and miseries. This article examines the historical perspective, genesis and management of gender identity disorder, or transsexualism, and draws attention to the medico-legal considerations.

Clinical management algorithm of uveitis associated with juvenile idiopathic arthritis: interdisciplinary panel consensus.

PubMed

Bou, Rosa; Adán, Alfredo; Borrás, Fátima; Bravo, Beatriz; Calvo, Inmaculada; De Inocencio, Jaime; Díaz, Jesús; Escudero, Julia; Fonollosa, Alex; de Vicuña, Carmen García; Hernández, Victoria; Merino, Rosa; Peralta, Jesús; Rúa, María-Jesús; Tejada, Pilar; Antón, Jordi

2015-05-01

Uveitis associated with juvenile idiopathic arthritis (JIA) typically involves the anterior chamber segment, follows an indolent chronic course, and presents a high rate of uveitic complications and a worse outcome as compared to other aetiologies of uveitis. Disease assessment, treatment, and outcome measures have not been standardized. Collaboration between pediatric rheumatologists and ophthalmologists is critical for effective management and prevention of morbidity, impaired vision, and irreparable visual loss. Although the Standardization of Uveitis Nomenclature Working Group recommendations have been a great advance to help clinicians to improve consistency in grading and reporting data, difficulties arise at the time of deciding the best treatment approach in the individual patient in routine daily practice. For this reason, recommendations for a systematized control and treatment strategies according to clinical characteristics and disease severity in children with JIA-related uveitis were developed by a panel of experts with special interest in uveitis associated with JIA. A clinical management algorithm organized in a stepwise regimen is here presented.

Transformation of Professional Identity in an Experienced Primary School Principal: A New Zealand Case Study

ERIC Educational Resources Information Center

Robertson, Sylvia

2017-01-01

School principals have unique identities that influence capacity to manage change. This New Zealand study explores professional identity in educational leadership and addresses a lesser researched area of identity transformation in longer-serving principals. Principals were asked how they perceived themselves as changing or changed as they led…

National and Gender Measurement Invariance of the Utrecht-Management of Identity Commitments Scale (U-MICS): A 10-Nation Study With University Students.

PubMed

Crocetti, Elisabetta; Cieciuch, Jan; Gao, Cheng-Hai; Klimstra, Theo; Lin, Ching-Ling; Matos, Paula Mena; Morsünbül, Ümit; Negru, Oana; Sugimura, Kazumi; Zimmermann, Grégoire; Meeus, Wim

2015-12-01

The purpose of this study was to examine the psychometric properties of the Utrecht-Management of Identity Commitments Scale (U-MICS), a self-report measure aimed at assessing identity processes of commitment, in-depth exploration, and reconsideration of commitment. We tested its factor structure in university students from a large array of cultural contexts, including 10 nations located in Europe (i.e., Italy, the Netherlands, Poland, Portugal, Romania, and Switzerland), Middle East (i.e., Turkey), and Asia (i.e., China, Japan, and Taiwan). Furthermore, we tested national and gender measurement invariance. Participants were 6,118 (63.2% females) university students aged from 18 to 25 years (Mage = 20.91 years). Results indicated that the three-factor structure of the U-MICS fitted well in the total sample, in each national group, and in gender groups. Furthermore, national and gender measurement invariance were established. Thus, the U-MICS can be fruitfully applied to study identity in university students from various Western and non-Western contexts. © The Author(s) 2015.

Trajectory-Oriented Approach to Managing Traffic Complexity: Trajectory Flexibility Metrics and Algorithms and Preliminary Complexity Impact Assessment

NASA Technical Reports Server (NTRS)

Idris, Husni; Vivona, Robert A.; Al-Wakil, Tarek

2009-01-01

This document describes exploratory research on a distributed, trajectory oriented approach for traffic complexity management. The approach is to manage traffic complexity based on preserving trajectory flexibility and minimizing constraints. In particular, the document presents metrics for trajectory flexibility; a method for estimating these metrics based on discrete time and degree of freedom assumptions; a planning algorithm using these metrics to preserve flexibility; and preliminary experiments testing the impact of preserving trajectory flexibility on traffic complexity. The document also describes an early demonstration capability of the trajectory flexibility preservation function in the NASA Autonomous Operations Planner (AOP) platform.

The application of Firefly algorithm in an Adaptive Emergency Evacuation Centre Management (AEECM) for dynamic relocation of flood victims

NASA Astrophysics Data System (ADS)

ChePa, Noraziah; Hashim, Nor Laily; Yusof, Yuhanis; Hussain, Azham

2016-08-01

Flood evacuation centre is defined as a temporary location or area of people from disaster particularly flood as a rescue or precautionary measure. Gazetted evacuation centres are normally located at secure places which have small chances from being drowned by flood. However, due to extreme flood several evacuation centres in Kelantan were unexpectedly drowned. Currently, there is no study done on proposing a decision support aid to reallocate victims and resources of the evacuation centre when the situation getting worsens. Therefore, this study proposes a decision aid model to be utilized in realizing an adaptive emergency evacuation centre management system. This study undergoes two main phases; development of algorithm and models, and development of a web-based and mobile app. The proposed model operates using Firefly multi-objective optimization algorithm that creates an optimal schedule for the relocation of victims and resources for an evacuation centre. The proposed decision aid model and the adaptive system can be applied in supporting the National Security Council's respond mechanisms for handling disaster management level II (State level) especially in providing better management of the flood evacuating centres.

Management and prevention of refeeding syndrome in medical inpatients: An evidence-based and consensus-supported algorithm.

PubMed

Friedli, Natalie; Stanga, Zeno; Culkin, Alison; Crook, Martin; Laviano, Alessandro; Sobotka, Lubos; Kressig, Reto W; Kondrup, Jens; Mueller, Beat; Schuetz, Philipp

2018-03-01

Refeeding syndrome (RFS) can be a life-threatening metabolic condition after nutritional replenishment if not recognized early and treated adequately. There is a lack of evidence-based treatment and monitoring algorithm for daily clinical practice. The aim of the study was to propose an expert consensus guideline for RFS for the medical inpatient (not including anorexic patients) regarding risk factors, diagnostic criteria, and preventive and therapeutic measures based on a previous systematic literature search. Based on a recent qualitative systematic review on the topic, we developed clinically relevant recommendations as well as a treatment and monitoring algorithm for the clinical management of inpatients regarding RFS. With international experts, these recommendations were discussed and agreement with the recommendation was rated. Upon hospital admission, we recommend the use of specific screening criteria (i.e., low body mass index, large unintentional weight loss, little or no nutritional intake, history of alcohol or drug abuse) for risk assessment regarding the occurrence of RFS. According to the patient's individual risk for RFS, a careful start of nutritional therapy with a stepwise increase in energy and fluids goals and supplementation of electrolyte and vitamins, as well as close clinical monitoring, is recommended. We also propose criteria for the diagnosis of imminent and manifest RFS with practical treatment recommendations with adoption of the nutritional therapy. Based on the available evidence, we developed a practical algorithm for risk assessment, treatment, and monitoring of RFS in medical inpatients. In daily routine clinical care, this may help to optimize and standardize the management of this vulnerable patient population. We encourage future quality studies to further refine these recommendations. Copyright © 2017 Elsevier Inc. All rights reserved.

An improved harmony search algorithm for emergency inspection scheduling

NASA Astrophysics Data System (ADS)

Kallioras, Nikos A.; Lagaros, Nikos D.; Karlaftis, Matthew G.

2014-11-01

The ability of nature-inspired search algorithms to efficiently handle combinatorial problems, and their successful implementation in many fields of engineering and applied sciences, have led to the development of new, improved algorithms. In this work, an improved harmony search (IHS) algorithm is presented, while a holistic approach for solving the problem of post-disaster infrastructure management is also proposed. The efficiency of IHS is compared with that of the algorithms of particle swarm optimization, differential evolution, basic harmony search and the pure random search procedure, when solving the districting problem that is the first part of post-disaster infrastructure management. The ant colony optimization algorithm is employed for solving the associated routing problem that constitutes the second part. The comparison is based on the quality of the results obtained, the computational demands and the sensitivity on the algorithmic parameters.

Gender identity and the management of the transgender patient: a guide for non-specialists.

PubMed

Joseph, Albert; Cliffe, Charlotte; Hillyard, Miriam; Majeed, Azeem

2017-04-01

In this review, we introduce the topic of transgender medicine, aimed at the non-specialist clinician working in the UK. Appropriate terminology is provided alongside practical advice on how to appropriately care for transgender people. We offer a brief theoretical discussion on transgenderism and consider how it relates to broader understandings of both gender and disease. In respect to epidemiology, while it is difficult to assess the exact size of the transgender population in the UK, population surveys suggest a prevalence of between 0.2 and 0.6% in adults, with rates of referrals to gender identity clinics in the UK increasing yearly. We outline the legal framework that protects the rights of transgender people, showing that is not legal for physicians to deny transgender people access to services based on their personal beliefs. Being transgender is often, although not always, associated with gender dysphoria, a potentially disabling condition in which the discordance between a person's natal sex (that assigned to them at birth) and gender identity results in distress, with high associated rates of self-harm, suicidality and functional impairment. We show that gender reassignment can be a safe and effective treatment for gender dysphoria with counselling, exogenous hormones and surgery being the mainstay of treatment. The role of the general practitioner in the management of transgender patients is discussed and we consider whether hormone therapy should be initiated in primary care in the absence of specialist advice, as is suggested by recent General Medical Council guidance.

Scheduling Earth Observing Fleets Using Evolutionary Algorithms: Problem Description and Approach

NASA Technical Reports Server (NTRS)

Globus, Al; Crawford, James; Lohn, Jason; Morris, Robert; Clancy, Daniel (Technical Monitor)

2002-01-01

We describe work in progress concerning multi-instrument, multi-satellite scheduling. Most, although not all, Earth observing instruments currently in orbit are unique. In the relatively near future, however, we expect to see fleets of Earth observing spacecraft, many carrying nearly identical instruments. This presents a substantially new scheduling challenge. Inspired by successful commercial applications of evolutionary algorithms in scheduling domains, this paper presents work in progress regarding the use of evolutionary algorithms to solve a set of Earth observing related model problems. Both the model problems and the software are described. Since the larger problems will require substantial computation and evolutionary algorithms are embarrassingly parallel, we discuss our parallelization techniques using dedicated and cycle-scavenged workstations.

"It Was Not Me That Was Sick, It Was the Building": Rhetorical Identity Management Strategies in the Context of Observed or Suspected Indoor Air Problems in Workplaces.

PubMed

Finell, Eerika; Seppälä, Tuija; Suoninen, Eero

2018-07-01

Suffering from a contested illness poses a serious threat to one's identity. We analyzed the rhetorical identity management strategies respondents used when depicting their health problems and lives in the context of observed or suspected indoor air (IA) problems in the workplace. The data consisted of essays collected by the Finnish Literature Society. We used discourse-oriented methods to interpret a variety of language uses in the construction of identity strategies. Six strategies were identified: respondents described themselves as normal and good citizens with strong characters, and as IA sufferers who received acknowledge from others, offered positive meanings to their in-group, and demanded recognition. These identity strategies located on two continua: (a) individual- and collective-level strategies and (b) dissolved and emphasized (sub)category boundaries. The practical conclusion is that professionals should be aware of these complex coping strategies when aiming to interact effectively with people suffering from contested illnesses.

DeMAID/GA USER'S GUIDE Design Manager's Aid for Intelligent Decomposition with a Genetic Algorithm

NASA Technical Reports Server (NTRS)

Rogers, James L.

1996-01-01

Many companies are looking for new tools and techniques to aid a design manager in making decisions that can reduce the time and cost of a design cycle. One tool that is available to aid in this decision making process is the Design Manager's Aid for Intelligent Decomposition (DeMAID). Since the initial release of DEMAID in 1989, numerous enhancements have been added to aid the design manager in saving both cost and time in a design cycle. The key enhancement is a genetic algorithm (GA) and the enhanced version is called DeMAID/GA. The GA orders the sequence of design processes to minimize the cost and time to converge to a solution. These enhancements as well as the existing features of the original version of DEMAID are described. Two sample problems are used to show how these enhancements can be applied to improve the design cycle. This report serves as a user's guide for DeMAID/GA.

E-dating, identity and HIV prevention: theorising sexualities, risk and network society.

PubMed

Davis, Mark; Hart, Graham; Bolding, Graham; Sherr, Lorraine; Elford, Jonathan

2006-05-01

This paper addresses how London gay men use the internet to meet sexual partners, or for e-dating. Based on qualitative interviews conducted face-to-face or via the internet, this research develops an account of how information technologies mediate the negotiation of identity and risk in connection with sexual practice. E-dating itself is a bricolage, or heterogeneous DIY practice of internet-based-communication (IBC). A central aspect of IBC is "filtering" in and out prospective e-dates based on the images and texts used to depict sexual identities. Interpretations and depictions of personal HIV risk management approaches in IBC are framed by the meanings of different identities, such as the stigma associated with being HIV positive. This paper argues for a sexualities perspective in a theory of network society. Further, HIV prevention in e-dating can potentially be addressed by considering the interplay of the HIV prevention imperatives associated with different HIV serostatus identities. There is a case for encouraging more explicit IBC about risk in e-dating and incorporating the expertise of e-daters in prevention activity. There is also a need to rethink traditional conceptions of risk management in HIV prevention to make space for the risk management bricolage of network society.

Comparison of new and existing algorithms for the analysis of 2D radioxenon beta gamma spectra

DOE PAGES

Deshmukh, Nikhil; Prinke, Amanda; Miller, Brian; ...

2017-01-13

The aim of this study is to compare radioxenon beta–gamma analysis algorithms using simulated spectra with experimentally measured background, where the ground truth of the signal is known. We believe that this is among the largest efforts to date in terms of the number of synthetic spectra generated and number of algorithms compared using identical spectra. We generate an estimate for the minimum detectable counts for each isotope using each algorithm. The paper also points out a conceptual model to put the various algorithms into a continuum. Finally, our results show that existing algorithms can be improved and some newermore » algorithms can be better than the ones currently used.« less

Comparison of new and existing algorithms for the analysis of 2D radioxenon beta gamma spectra

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

Deshmukh, Nikhil; Prinke, Amanda; Miller, Brian

2017-01-13

The aim of this paper is to compare radioxenon beta-gamma analysis algorithms using simulated spectra with experimentally measured background, where the ground truth of the signal is known. We believe that this is among the largest efforts to date in terms of the number of synthetic spectra generated and number of algorithms compared using identical spectra. We generate an estimate for the Minimum Detectable Counts (MDC) for each isotope using each algorithm. The paper also points out a conceptual model to put the various algorithms into a continuum. Our results show that existing algorithms can be improved and some newermore » algorithms can be better than the currently used ones.« less

A network identity authentication system based on Fingerprint identification technology

NASA Astrophysics Data System (ADS)

Xia, Hong-Bin; Xu, Wen-Bo; Liu, Yuan

2005-10-01

Fingerprint verification is one of the most reliable personal identification methods. However, most of the automatic fingerprint identification system (AFIS) is not run via Internet/Intranet environment to meet today's increasing Electric commerce requirements. This paper describes the design and implementation of the archetype system of identity authentication based on fingerprint biometrics technology, and the system can run via Internet environment. And in our system the COM and ASP technology are used to integrate Fingerprint technology with Web database technology, The Fingerprint image preprocessing algorithms are programmed into COM, which deployed on the internet information server. The system's design and structure are proposed, and the key points are discussed. The prototype system of identity authentication based on Fingerprint have been successfully tested and evaluated on our university's distant education applications in an internet environment.

Identity and stammering: negotiating hesitation, side-stepping repetition, and sometimes avoiding deviation.

PubMed

Butler, Clare

2013-09-01

Individuals who experience speech dysfluency are often stigmatised because their speech acts differ from the communicative norm. This article is located in and seeks to further the identity debates in exploring how individuals who are subject to the intermittent emergence of a stigmatised characteristic manage this randomised personal discrediting in their identity work. Through a series of focus groups and semi-structured interviews participants grudgingly report their management approaches which include concealing, drafting in unwitting others, role-playing and segregating self from their stammer. In describing how they manage their stammer they detail their use of the social space in a number of ways, including as a hiding place; a site for 'it' (the stammer); a gap in which to switch words; and a different area in which to perform. This study offers important insights, increasing our understanding of the often hidden negotiations of identity work and the sometime ingenious use of space in the management of a social stigma. © 2013 The Author. Sociology of Health & Illness © 2013 Foundation for the Sociology of Health & Illness/John Wiley © Sons Ltd. Published by John Wiley © Sons Ltd.

Artifact removal algorithms for stroke detection using a multistatic MIST beamforming algorithm.

PubMed

Ricci, E; Di Domenico, S; Cianca, E; Rossi, T

2015-01-01

Microwave imaging (MWI) has been recently proved as a promising imaging modality for low-complexity, low-cost and fast brain imaging tools, which could play a fundamental role to efficiently manage emergencies related to stroke and hemorrhages. This paper focuses on the UWB radar imaging approach and in particular on the processing algorithms of the backscattered signals. Assuming the use of the multistatic version of the MIST (Microwave Imaging Space-Time) beamforming algorithm, developed by Hagness et al. for the early detection of breast cancer, the paper proposes and compares two artifact removal algorithms. Artifacts removal is an essential step of any UWB radar imaging system and currently considered artifact removal algorithms have been shown not to be effective in the specific scenario of brain imaging. First of all, the paper proposes modifications of a known artifact removal algorithm. These modifications are shown to be effective to achieve good localization accuracy and lower false positives. However, the main contribution is the proposal of an artifact removal algorithm based on statistical methods, which allows to achieve even better performance but with much lower computational complexity.

Job satisfaction and gender identity of women managers and non-managers.

PubMed

Lipińska-Grobelny, Agnieszka; Wasiak, Katarzyna

2010-01-01

This work investigates different cognitive aspects of job satisfaction (co-workers, supervisor, job content, working facilities, organization and management, opportunities for development, income), positive and negative affect at work and their relations to gender role orientation of women occupying managerial and non-managerial positions. The sample of 122 women (60 managers and 62 non-managers) completed a battery of instruments such as: the Bem Sex Role Inventory, the Job Description Inventory by Neuberger and Allerbeck and the Job Affect Scale by Brief et al. Most women managers represented androgynous and masculine types, while women non-managers belonged to androgynous and feminine types. Moreover, women with various degrees of sex-typing showed positive and negative affect at work. The most satisfied with income were masculine women managers, the least--feminine women non-managers. These results may be applied in designing of motivational instruments to enhance job effectiveness and to eliminate unproductive behaviours such as absenteeism, high staff turnover.

Validation of two algorithms for managing children with a non-blanching rash.

PubMed

Riordan, F Andrew I; Jones, Laura; Clark, Julia

2016-08-01

Paediatricians are concerned that children who present with a non-blanching rash (NBR) may have meningococcal disease (MCD). Two algorithms have been devised to help identify which children with an NBR have MCD. To evaluate the NBR algorithms' ability to identify children with MCD. The Newcastle-Birmingham-Liverpool (NBL) algorithm was applied retrospectively to three cohorts of children who had presented with NBRs. This algorithm was also piloted in four hospitals, and then used prospectively for 12 months in one hospital. The National Institute for Health and Care Excellence (NICE) algorithm was validated retrospectively using data from all cohorts. The cohorts included 625 children, 145 (23%) of whom had confirmed or probable MCD. Paediatricians empirically treated 324 (52%) children with antibiotics. The NBL algorithm identified all children with MCD and suggested treatment for a further 86 children (sensitivity 100%, specificity 82%). One child with MCD did not receive immediate antibiotic treatment, despite this being suggested by the algorithm. The NICE algorithm suggested 382 children (61%) who should be treated with antibiotics. This included 141 of the 145 children with MCD (sensitivity 97%, specificity 50%). These algorithms may help paediatricians identify children with MCD who present with NBRs. The NBL algorithm may be more specific than the NICE algorithm as it includes fewer features suggesting MCD. The only significant delay in treatment of MCD occurred when the algorithms were not followed. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Blind quantum computation with identity authentication

NASA Astrophysics Data System (ADS)

Li, Qin; Li, Zhulin; Chan, Wai Hong; Zhang, Shengyu; Liu, Chengdong

2018-04-01

Blind quantum computation (BQC) allows a client with relatively few quantum resources or poor quantum technologies to delegate his computational problem to a quantum server such that the client's input, output, and algorithm are kept private. However, all existing BQC protocols focus on correctness verification of quantum computation but neglect authentication of participants' identity which probably leads to man-in-the-middle attacks or denial-of-service attacks. In this work, we use quantum identification to overcome such two kinds of attack for BQC, which will be called QI-BQC. We propose two QI-BQC protocols based on a typical single-server BQC protocol and a double-server BQC protocol. The two protocols can ensure both data integrity and mutual identification between participants with the help of a third trusted party (TTP). In addition, an unjammable public channel between a client and a server which is indispensable in previous BQC protocols is unnecessary, although it is required between TTP and each participant at some instant. Furthermore, the method to achieve identity verification in the presented protocols is general and it can be applied to other similar BQC protocols.

Governance and Corporate Identity in Network Universities.

ERIC Educational Resources Information Center

Smith, Robert

1992-01-01

A discussion of university autonomy and institutional image is presented with reference to politics at the newly established University of New England (Australia). Elements of institutional image or identity are examined, including (1) symbolic issues such as logo and location of administration; (2) leadership and management structures; (3)…

JOURNAL CLUB: Plagiarism in Manuscripts Submitted to the AJR: Development of an Optimal Screening Algorithm and Management Pathways.

PubMed

Taylor, Donna B

2017-04-01

The objective of this study was to investigate the incidence of plagiarism in a sample of manuscripts submitted to the AJR using CrossCheck, develop an algorithm to identify significant plagiarism, and formulate management pathways. A sample of 110 of 1610 (6.8%) manuscripts submitted to AJR in 2014 in the categories of Original Research or Review were analyzed using CrossCheck and manual assessment. The overall similarity index (OSI), highest similarity score from a single source, whether duplication was from single or multiple origins, journal section, and presence or absence of referencing the source were recorded. The criteria outlined by the International Committee of Medical Journal Editors were the reference standard for identifying manuscripts containing plagiarism. Statistical analysis was used to develop a screening algorithm to maximize sensitivity and specificity for the detection of plagiarism. Criteria for defining the severity of plagiarism and management pathways based on the severity of the plagiarism were determined. Twelve manuscripts (10.9%) contained plagiarism. Nine had an OSI excluding quotations and references of less than 20%. In seven, the highest similarity score from a single source was less than 10%. The highest similarity score from a single source was the work of the same author or authors in nine. Common sections for duplication were the Materials and Methods, Discussion, and abstract. Referencing the original source was lacking in 11. Plagiarism was undetected at submission in five of these 12 articles; two had been accepted for publication. The most effective screening algorithm was to average the OSI including quotations and references and the highest similarity score from a single source and to submit manuscripts with an average value of more than 12% for further review. The current methods for detecting plagiarism are suboptimal. A new screening algorithm is proposed.

Spontaneous Intramuscular Hematomas of the Abdomen and Pelvis: A New Multilevel Algorithm to Direct Transarterial Embolization and Patient Management

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

Popov, Milen; Sotiriadis, Charalampos; Gay, Frederique

PurposeTo report our experience using a multilevel patient management algorithm to direct transarterial embolization (TAE) in managing spontaneous intramuscular hematoma (SIMH).Materials and MethodsFrom May 2006 to January 2014, twenty-seven patients with SIMH had been referred for TAE to our Radiology department. Clinical status and coagulation characteristics of the patients are analyzed. An algorithm integrating CT findings is suggested to manage SIMH. Patients were classified into three groups: Type I, SIMH with no active bleeding (AB); Type II, SIMH with AB and no muscular fascia rupture (MFR); and Type III, SIMH with MFR and AB. Type II is furthermore subcategorized asmore » IIa, IIb and IIc. Types IIb, IIc and III were considered for TAE. The method of embolization as well as the material been used are described. Continuous variables are presented as mean ± SD. Categorical variables are reported as percentages. Technical success, clinical success, complications and 30-day mortality (d30 M) were analyzed.ResultsTwo patients (7.5%) had Type IIb, four (15%) Type IIc and 21 (77.5%) presented Type III. The detailed CT and CTA findings, embolization procedure and materials used are described. Technical success was 96% with a complication rate of 4%. Clinical success was 88%. The bleeding-related thirty-day mortality was 15% (all with Type III).ConclusionTAE is a safe and efficient technique to control bleeding that should be considered in selected SIMH as soon as possible. The proposed algorithm integrating CT features provides a comprehensive chart to select patients for TAE.Level of Evidence4.« less

An Improved Hierarchical Genetic Algorithm for Sheet Cutting Scheduling with Process Constraints

PubMed Central

Rao, Yunqing; Qi, Dezhong; Li, Jinling

2013-01-01

For the first time, an improved hierarchical genetic algorithm for sheet cutting problem which involves n cutting patterns for m non-identical parallel machines with process constraints has been proposed in the integrated cutting stock model. The objective of the cutting scheduling problem is minimizing the weighted completed time. A mathematical model for this problem is presented, an improved hierarchical genetic algorithm (ant colony—hierarchical genetic algorithm) is developed for better solution, and a hierarchical coding method is used based on the characteristics of the problem. Furthermore, to speed up convergence rates and resolve local convergence issues, a kind of adaptive crossover probability and mutation probability is used in this algorithm. The computational result and comparison prove that the presented approach is quite effective for the considered problem. PMID:24489491

An improved hierarchical genetic algorithm for sheet cutting scheduling with process constraints.

PubMed

Rao, Yunqing; Qi, Dezhong; Li, Jinling

2013-01-01

For the first time, an improved hierarchical genetic algorithm for sheet cutting problem which involves n cutting patterns for m non-identical parallel machines with process constraints has been proposed in the integrated cutting stock model. The objective of the cutting scheduling problem is minimizing the weighted completed time. A mathematical model for this problem is presented, an improved hierarchical genetic algorithm (ant colony--hierarchical genetic algorithm) is developed for better solution, and a hierarchical coding method is used based on the characteristics of the problem. Furthermore, to speed up convergence rates and resolve local convergence issues, a kind of adaptive crossover probability and mutation probability is used in this algorithm. The computational result and comparison prove that the presented approach is quite effective for the considered problem.

Bringing social identity to work: the influence of manifestation and suppression on perceived discrimination, job satisfaction, and turnover intentions.

PubMed

Madera, Juan M; King, Eden B; Hebl, Michelle R

2012-04-01

In the current article, we explored whether manifesting or suppressing an identity (race/ethnicity, gender, age, religion, sexual orientation, or disability) at work is related to perceived discrimination, job satisfaction, and turnover intentions. Participants included 211 working adults who completed an online survey. The results showed that efforts to suppress a group identity were positively (and behavioral manifestations of group identity negatively) related to perceived discrimination, which predicted job satisfaction and turnover intentions. These results suggest that diverse employees actively manage their nonwork identities while at work and that these identity management strategies have important consequences. PsycINFO Database Record (c) 2012 APA, all rights reserved.

Social identity change: shifts in social identity during adolescence.

PubMed

Tanti, Chris; Stukas, Arthur A; Halloran, Michael J; Foddy, Margaret

2011-06-01

This study investigated the proposition that adolescence involves significant shifts in social identity as a function of changes in social context and cognitive style. Using an experimental design, we primed either peer or gender identity with a sample of 380 early- (12-13 years), mid- (15-16 years), and late-adolescents (18-20 years) and then measured the effect of the prime on self-stereotyping and ingroup favouritism. The findings showed significant differences in social identity across adolescent groups, in that social identity effects were relatively strong in early- and late-adolescents, particularly when peer group identity rather than gender identity was salient. While these effects were consistent with the experience of change in educational social context, differences in cognitive style were only weakly related to ingroup favouritism. The implications of the findings for theory and future research on social identity during adolescence are discussed. Crown Copyright © 2010. Published by Elsevier Ltd. All rights reserved.

Comparative Associations Between Achieved Bicultural Identity, Achieved Ego Identity, and Achieved Religious Identity and Adaptation Among Australian Adolescent Muslims.

PubMed

Abu-Rayya, Hisham M; Abu-Rayya, Maram H; White, Fiona A; Walker, Richard

2018-04-01

This study examined the comparative roles of biculturalism, ego identity, and religious identity in the adaptation of Australian adolescent Muslims. A total of 504 high school Muslim students studying at high schools in metropolitan Sydney and Melbourne, Australia, took part in this study which required them to complete a self-report questionnaire. Analyses indicated that adolescent Muslims' achieved religious identity seems to play a more important role in shaping their psychological and socio-cultural adaptation compared to adolescents' achieved bicultural identity. Adolescents' achieved ego identity tended also to play a greater role in their psychological and socio-cultural adaptation than achieved bicultural identity. The relationships between the three identities and negative indicators of psychological adaptation were consistently indifferent. Based on these findings, we propose that the three identity-based forces-bicultural identity development, religious identity attainment, and ego identity formation-be amalgamated into one framework in order for researchers to more accurately examine the adaptation of Australian adolescent Muslims.

Stochastic characterization of phase detection algorithms in phase-shifting interferometry

DOE PAGES

Munteanu, Florin

2016-11-01

Phase-shifting interferometry (PSI) is the preferred non-contact method for profiling sub-nanometer surfaces. Based on monochromatic light interference, the method computes the surface profile from a set of interferograms collected at separate stepping positions. Errors in the estimated profile are introduced when these positions are not located correctly. In order to cope with this problem, various algorithms that minimize the effects of certain types of stepping errors (linear, sinusoidal, etc.) have been developed. Despite the relatively large number of algorithms suggested in the literature, there is no unified way of characterizing their performance when additional unaccounted random errors are present. Here,more » we suggest a procedure for quantifying the expected behavior of each algorithm in the presence of independent and identically distributed (i.i.d.) random stepping errors, which can occur in addition to the systematic errors for which the algorithm has been designed. As a result, the usefulness of this method derives from the fact that it can guide the selection of the best algorithm for specific measurement situations.« less

Swiss identity smells like chocolate: Social identity shapes olfactory judgments

PubMed Central

Coppin, Géraldine; Pool, Eva; Delplanque, Sylvain; Oud, Bastiaan; Margot, Christian; Sander, David; Van Bavel, Jay J.

2016-01-01

There is extensive evidence that social identities can shape people’s attitudes and behavior, but what about sensory judgments? We examined the possibility that social identity concerns may also shape the judgment of non-social properties—namely, olfactory judgment. In two experiments, we presented Swiss and non-Swiss participants with the odor of chocolate, for which Switzerland is world-famous, and a control odor (popcorn). Swiss participants primed with Swiss identity reported the odor of chocolate (but not popcorn) as more intense than non-Swiss participants (Experiments 1 and 2) and than Swiss participants primed with individual identity or not primed (Experiment 2). The self-reported intensity of chocolate smell tended to increase as identity accessibility increased—but only among Swiss participants (Experiment 1). These results suggest that identity priming can counter-act classic sensory habituation effects, allowing identity-relevant smells to maintain their intensity after repeated presentations. This suggests that social identity dynamically influences sensory judgment. We discuss the potential implications for models of social identity and chemosensory perception. PMID:27725715

Swiss identity smells like chocolate: Social identity shapes olfactory judgments.

PubMed

Coppin, Géraldine; Pool, Eva; Delplanque, Sylvain; Oud, Bastiaan; Margot, Christian; Sander, David; Van Bavel, Jay J

2016-10-11

There is extensive evidence that social identities can shape people's attitudes and behavior, but what about sensory judgments? We examined the possibility that social identity concerns may also shape the judgment of non-social properties-namely, olfactory judgment. In two experiments, we presented Swiss and non-Swiss participants with the odor of chocolate, for which Switzerland is world-famous, and a control odor (popcorn). Swiss participants primed with Swiss identity reported the odor of chocolate (but not popcorn) as more intense than non-Swiss participants (Experiments 1 and 2) and than Swiss participants primed with individual identity or not primed (Experiment 2). The self-reported intensity of chocolate smell tended to increase as identity accessibility increased-but only among Swiss participants (Experiment 1). These results suggest that identity priming can counter-act classic sensory habituation effects, allowing identity-relevant smells to maintain their intensity after repeated presentations. This suggests that social identity dynamically influences sensory judgment. We discuss the potential implications for models of social identity and chemosensory perception.

Evaluation of Algorithms for a Miles-in-Trail Decision Support Tool

NASA Technical Reports Server (NTRS)

Bloem, Michael; Hattaway, David; Bambos, Nicholas

2012-01-01

Four machine learning algorithms were prototyped and evaluated for use in a proposed decision support tool that would assist air traffic managers as they set Miles-in-Trail restrictions. The tool would display probabilities that each possible Miles-in-Trail value should be used in a given situation. The algorithms were evaluated with an expected Miles-in-Trail cost that assumes traffic managers set restrictions based on the tool-suggested probabilities. Basic Support Vector Machine, random forest, and decision tree algorithms were evaluated, as was a softmax regression algorithm that was modified to explicitly reduce the expected Miles-in-Trail cost. The algorithms were evaluated with data from the summer of 2011 for air traffic flows bound to the Newark Liberty International Airport (EWR) over the ARD, PENNS, and SHAFF fixes. The algorithms were provided with 18 input features that describe the weather at EWR, the runway configuration at EWR, the scheduled traffic demand at EWR and the fixes, and other traffic management initiatives in place at EWR. Features describing other traffic management initiatives at EWR and the weather at EWR achieved relatively high information gain scores, indicating that they are the most useful for estimating Miles-in-Trail. In spite of a high variance or over-fitting problem, the decision tree algorithm achieved the lowest expected Miles-in-Trail costs when the algorithms were evaluated using 10-fold cross validation with the summer 2011 data for these air traffic flows.

Performance of the "CCS Algorithm" in real world patients.

PubMed

LaHaye, Stephen A; Olesen, Jonas B; Lacombe, Shawn P

2015-06-01

With the publication of the 2014 Focused Update of the Canadian Cardiovascular Society Guidelines for the Management of Atrial Fibrillation, the Canadian Cardiovascular Society Atrial Fibrillation Guidelines Committee has introduced a new triage and management algorithm; the so-called "CCS Algorithm". The CCS Algorithm is based upon expert opinion of the best available evidence; however, the CCS Algorithm has not yet been validated. Accordingly, the purpose of this study is to evaluate the performance of the CCS Algorithm in a cohort of real world patients. We compared the CCS Algorithm with the European Society of Cardiology (ESC) Algorithm in 172 hospital inpatients who are at risk of stroke due to non-valvular atrial fibrillation in whom anticoagulant therapy was being considered. The CCS Algorithm and the ESC Algorithm were concordant in 170/172 patients (99% of the time). There were two patients (1%) with vascular disease, but no other thromboembolic risk factors, which were classified as requiring oral anticoagulant therapy using the ESC Algorithm, but for whom ASA was recommended by the CCS Algorithm. The CCS Algorithm appears to be unnecessarily complicated in so far as it does not appear to provide any additional discriminatory value above and beyond the use of the ESC Algorithm, and its use could result in under treatment of patients, specifically female patients with vascular disease, whose real risk of stroke has been understated by the Guidelines.

An algorithm for the Baker-Campbell-Hausdorff formula

NASA Astrophysics Data System (ADS)

Matone, Marco

2015-05-01

A simple algorithm, which exploits the associativity of the BCH formula, and that can be generalized by iteration, extends the remarkable simplification of the BakerCampbell-Hausdorff (BCH) formula, recently derived by Van-Brunt and Visser. We show that if [ X, Y] = uX + vY + cI, [ Y, Z] = wY + zZ + dI, and, consistently with the Jacobi identity, [ X, Z] = mX + nY + pZ + eI, then

Optical identity authentication technique based on compressive ghost imaging with QR code

NASA Astrophysics Data System (ADS)

Wenjie, Zhan; Leihong, Zhang; Xi, Zeng; Yi, Kang

2018-04-01

With the rapid development of computer technology, information security has attracted more and more attention. It is not only related to the information and property security of individuals and enterprises, but also to the security and social stability of a country. Identity authentication is the first line of defense in information security. In authentication systems, response time and security are the most important factors. An optical authentication technology based on compressive ghost imaging with QR codes is proposed in this paper. The scheme can be authenticated with a small number of samples. Therefore, the response time of the algorithm is short. At the same time, the algorithm can resist certain noise attacks, so it offers good security.

Technical note: Efficient online source identification algorithm for integration within a contamination event management system

NASA Astrophysics Data System (ADS)

Deuerlein, Jochen; Meyer-Harries, Lea; Guth, Nicolai

2017-07-01

Drinking water distribution networks are part of critical infrastructures and are exposed to a number of different risks. One of them is the risk of unintended or deliberate contamination of the drinking water within the pipe network. Over the past decade research has focused on the development of new sensors that are able to detect malicious substances in the network and early warning systems for contamination. In addition to the optimal placement of sensors, the automatic identification of the source of a contamination is an important component of an early warning and event management system for security enhancement of water supply networks. Many publications deal with the algorithmic development; however, only little information exists about the integration within a comprehensive real-time event detection and management system. In the following the analytical solution and the software implementation of a real-time source identification module and its integration within a web-based event management system are described. The development was part of the SAFEWATER project, which was funded under FP 7 of the European Commission.

Job shop scheduling model for non-identic machine with fixed delivery time to minimize tardiness

NASA Astrophysics Data System (ADS)

Kusuma, K. K.; Maruf, A.

2016-02-01

Scheduling non-identic machines problem with low utilization characteristic and fixed delivery time are frequent in manufacture industry. This paper propose a mathematical model to minimize total tardiness for non-identic machines in job shop environment. This model will be categorized as an integer linier programming model and using branch and bound algorithm as the solver method. We will use fixed delivery time as main constraint and different processing time to process a job. The result of this proposed model shows that the utilization of production machines can be increase with minimal tardiness using fixed delivery time as constraint.

Definitive airway management after pre-hospital supraglottic airway insertion: Outcomes and a management algorithm for trauma patients.

PubMed

Hernandez, Matthew C; Aho, Johnathon M; Zielinski, Martin D; Zietlow, Scott P; Kim, Brian D; Morris, David S

2018-01-01

Prehospital airway management increasingly involves supraglottic airway insertion and a paucity of data evaluates outcomes in trauma populations. We aim to describe definitive airway management in traumatically injured patients who necessitated prehospital supraglottic airway insertion. We performed a single institution retrospective review of multisystem injured patients (≥15years) that received prehospital supraglottic airway insertion during 2009 to 2016. Baseline demographics, number and type of: supraglottic airway insertion attempts, definitive airway and complications were recorded. Primary outcome was need for tracheostomy. Univariate and multivariable statistics were performed. 56 patients met inclusion criteria and were reviewed, 78% were male. Median age [IQR] was 36 [24-56] years. Injuries comprised blunt (94%), penetrating (4%) and burns (2%). Median ISS was 26 [22-41]. Median number of prehospital endotracheal intubation (PETI) attempts was 2 [1-3]. Definitive airway management included: (n=20, 36%, tracheostomy), (n=10, 18%, direct laryngoscopy), (n=6, 11%, bougie), (n=9, 15%, Glidescope), (n=11, 20%, bronchoscopic assistance). 24-hour mortality was 41%. Increasing number of PETI was associated with increasing facial injury. On regression, increasing cervical and facial injury patterns as well as number of PETI were associated with definitive airway control via surgical tracheostomy. After supraglottic airway insertion, operative or non-operative approaches can be utilized to obtain a definitive airway. Patients with increased craniofacial injuries have an increased risk for airway complications and need for tracheostomy. We used these factors to generate an evidence based algorithm that requires prospective validation. Level IV - Retrospective study. Retrospective single institution study. Copyright © 2017 Elsevier Inc. All rights reserved.

Contemplation and the "Performative Absolute": Submission and Identity in Managerial Modernity

ERIC Educational Resources Information Center

Roberts, Richard H.

2013-01-01

Practices derived from the "vita contemplativa" and other spiritual sources are drawn upon by management, but as the power of human resources management (HRM) is extended so the relationship between "contemplation" and the surrender of self-identity required by HRM demands critical examination. The conscious construction of the…

Managing Digital Identity on Twitter: The Case of School Administrators

ERIC Educational Resources Information Center

Cho, Vincent; Jimerson, Jo Beth

2017-01-01

What does it mean to be and to act like a school leader online? Although many school leaders might be comfortable navigating issues of identity in face-to-face environments, online environments may present new and unprecedented challenges. These challenges may range from concerns about privacy and surveillance to questions about how best to…

Heuristic rules embedded genetic algorithm for in-core fuel management optimization

NASA Astrophysics Data System (ADS)

Alim, Fatih

The objective of this study was to develop a unique methodology and a practical tool for designing loading pattern (LP) and burnable poison (BP) pattern for a given Pressurized Water Reactor (PWR) core. Because of the large number of possible combinations for the fuel assembly (FA) loading in the core, the design of the core configuration is a complex optimization problem. It requires finding an optimal FA arrangement and BP placement in order to achieve maximum cycle length while satisfying the safety constraints. Genetic Algorithms (GA) have been already used to solve this problem for LP optimization for both PWR and Boiling Water Reactor (BWR). The GA, which is a stochastic method works with a group of solutions and uses random variables to make decisions. Based on the theories of evaluation, the GA involves natural selection and reproduction of the individuals in the population for the next generation. The GA works by creating an initial population, evaluating it, and then improving the population by using the evaluation operators. To solve this optimization problem, a LP optimization package, GARCO (Genetic Algorithm Reactor Code Optimization) code is developed in the framework of this thesis. This code is applicable for all types of PWR cores having different geometries and structures with an unlimited number of FA types in the inventory. To reach this goal, an innovative GA is developed by modifying the classical representation of the genotype. To obtain the best result in a shorter time, not only the representation is changed but also the algorithm is changed to use in-core fuel management heuristics rules. The improved GA code was tested to demonstrate and verify the advantages of the new enhancements. The developed methodology is explained in this thesis and preliminary results are shown for the VVER-1000 reactor hexagonal geometry core and the TMI-1 PWR. The improved GA code was tested to verify the advantages of new enhancements. The core physics code

Unified treatment algorithm for the management of crotaline snakebite in the United States: results of an evidence-informed consensus workshop

PubMed Central

2011-01-01

Background Envenomation by crotaline snakes (rattlesnake, cottonmouth, copperhead) is a complex, potentially lethal condition affecting thousands of people in the United States each year. Treatment of crotaline envenomation is not standardized, and significant variation in practice exists. Methods A geographically diverse panel of experts was convened for the purpose of deriving an evidence-informed unified treatment algorithm. Research staff analyzed the extant medical literature and performed targeted analyses of existing databases to inform specific clinical decisions. A trained external facilitator used modified Delphi and structured consensus methodology to achieve consensus on the final treatment algorithm. Results A unified treatment algorithm was produced and endorsed by all nine expert panel members. This algorithm provides guidance about clinical and laboratory observations, indications for and dosing of antivenom, adjunctive therapies, post-stabilization care, and management of complications from envenomation and therapy. Conclusions Clinical manifestations and ideal treatment of crotaline snakebite differ greatly, and can result in severe complications. Using a modified Delphi method, we provide evidence-informed treatment guidelines in an attempt to reduce variation in care and possibly improve clinical outcomes. PMID:21291549

"Unhomely" Academic Developer Identities: More Post-Colonial Explorations

ERIC Educational Resources Information Center

Manathunga, Catherine

2007-01-01

Academic developers are very often disciplinary migrants, performing hybrid, liminal roles at the "fault lines" between teachers and learners, between academics and managers, and between teaching and research. As a result, their identities as scholars can be described as "unhomely." While this in-between space is uncomfortable…

Research of improved banker algorithm

NASA Astrophysics Data System (ADS)

Yuan, Xingde; Xu, Hong; Qiao, Shijiao

2013-03-01

In the multi-process operating system, resource management strategy of system is a critical global issue, especially when many processes implicating for the limited resources, since unreasonable scheduling will cause dead lock. The most classical solution for dead lock question is the banker algorithm; however, it has its own deficiency and only can avoid dead lock occurring in a certain extent. This article aims at reducing unnecessary safety checking, and then uses the new allocation strategy to improve the banker algorithm. Through full analysis and example verification of the new allocation strategy, the results show the improved banker algorithm obtains substantial increase in performance.

Ambiguous genitalia, gender-identity problems, and sex reassignment.

PubMed

Dittmann, R W

1998-01-01

This article discusses general issues with regard to gender-identity problems, sex reassignment, and clinical management in patients with ambiguous genitalia, based on a detailed case history of a patient with penile agenesis who has been followed more than 20 years. After initial uncertainty, the patient began to grow up as a boy, lived from the fourth year of life as a girl and young woman, and lived from late puberty on as a man. Over his lifetime he experienced extensive corrective surgery plus hormonal substitution therapy. Pre- and perinatal hormonal conditions, phenomenology of the genitalia, sex of rearing, timing of sex reassignment and corrective surgery, for example, appear to be important components for the development of gender-role behavior, gender identity, and sexual orientation of intersex patients. Findings and retrospective considerations for this patient suggest the need for careful differential activities in diagnostic workup, approaches to sex assignment and possible reassignment, and the clinical management of patients and families.

A high-performance spatial database based approach for pathology imaging algorithm evaluation

PubMed Central

Wang, Fusheng; Kong, Jun; Gao, Jingjing; Cooper, Lee A.D.; Kurc, Tahsin; Zhou, Zhengwen; Adler, David; Vergara-Niedermayr, Cristobal; Katigbak, Bryan; Brat, Daniel J.; Saltz, Joel H.

2013-01-01

Background: Algorithm evaluation provides a means to characterize variability across image analysis algorithms, validate algorithms by comparison with human annotations, combine results from multiple algorithms for performance improvement, and facilitate algorithm sensitivity studies. The sizes of images and image analysis results in pathology image analysis pose significant challenges in algorithm evaluation. We present an efficient parallel spatial database approach to model, normalize, manage, and query large volumes of analytical image result data. This provides an efficient platform for algorithm evaluation. Our experiments with a set of brain tumor images demonstrate the application, scalability, and effectiveness of the platform. Context: The paper describes an approach and platform for evaluation of pathology image analysis algorithms. The platform facilitates algorithm evaluation through a high-performance database built on the Pathology Analytic Imaging Standards (PAIS) data model. Aims: (1) Develop a framework to support algorithm evaluation by modeling and managing analytical results and human annotations from pathology images; (2) Create a robust data normalization tool for converting, validating, and fixing spatial data from algorithm or human annotations; (3) Develop a set of queries to support data sampling and result comparisons; (4) Achieve high performance computation capacity via a parallel data management infrastructure, parallel data loading and spatial indexing optimizations in this infrastructure. Materials and Methods: We have considered two scenarios for algorithm evaluation: (1) algorithm comparison where multiple result sets from different methods are compared and consolidated; and (2) algorithm validation where algorithm results are compared with human annotations. We have developed a spatial normalization toolkit to validate and normalize spatial boundaries produced by image analysis algorithms or human annotations. The validated data

IdentityMap Visualization of the Super Identity Model

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

None

The Super Identity Model is a collaboration with six United Kingdom universities to develop use cases used to piece together a person's identity across biological, cyber, psychological, and biographical domains. PNNL visualized the model in a web-based application called IdentityMap. This is the first step in a promising new field of research. Interested future collaborators are welcome to find out more by emailing superid@pnnl.gov.

IdentityMap Visualization of the Super Identity Model

ScienceCinema

None

2018-06-08

The Super Identity Model is a collaboration with six United Kingdom universities to develop use cases used to piece together a person's identity across biological, cyber, psychological, and biographical domains. PNNL visualized the model in a web-based application called IdentityMap. This is the first step in a promising new field of research. Interested future collaborators are welcome to find out more by emailing superid@pnnl.gov.

Patient identity management for secondary use of biomedical research data in a distributed computing environment.

PubMed

Nitzlnader, Michael; Schreier, Günter

2014-01-01

Dealing with data from different source domains is of increasing importance in today's large scale biomedical research endeavours. Within the European Network for Cancer research in Children and Adolescents (ENCCA) a solution to share such data for secondary use will be established. In this paper the solution arising from the aims of the ENCCA project and regulatory requirements concerning data protection and privacy is presented. Since the details of secondary biomedical dataset utilisation are often not known in advance, data protection regulations are met with an identity management concept that facilitates context-specific pseudonymisation and a way of data aggregation using a hidden reference table later on. Phonetic hashing is proposed to prevent duplicated patient registration and re-identification of patients is possible via a trusted third party only. Finally, the solution architecture allows for implementation in a distributed computing environment, including cloud-based elements.

Mistaken identity: activating conservative political identities induces "conservative" financial decisions.

PubMed

Morris, Michael W; Carranza, Erica; Fox, Craig R

2008-11-01

Four studies investigated whether activating a social identity can lead group members to choose options that are labeled in words associated with that identity. When political identities were made salient, Republicans (but not Democrats) became more likely to choose the gamble or investment option labeled "conservative." This shift did not occur in a condition in which the same options were unlabeled. Thus, the mechanism underlying the effect appears to be not activated identity-related values prioritizing low risk, but rather activated identity-related language (the group label "conservative"). Indeed, when political identities were salient, Republicans favored options labeled "conservative" regardless of whether the options were low or high risk. Finally, requiring participants to explain the label "conservative" before making their choice did not diminish the effect, which suggests that it does not merely reflect inattention to content or construct accessibility. We discuss the implications of these results for the literatures on identity, priming, choice, politics, and marketing.

Applicability of an established management algorithm for colon injuries following blunt trauma.

PubMed

Sharpe, John P; Magnotti, Louis J; Weinberg, Jordan A; Shahan, Charles P; Cullinan, Darren R; Fabian, Timothy C; Croce, Martin A

2013-02-01

Operative management at our institution for all colon injuries have followed a defined algorithm (ALG) based on risk factors originally identified for penetrating injuries. The purpose of this study was to evaluate the applicability of the ALG to blunt colon injuries. Patients with blunt colon injuries during 13 years were identified. As per the ALG, nondestructive (ND) injuries are treated with primary repair. Patients with destructive wounds (serosal tear of ≥50% colon circumference, mesenteric devascularization, and perforations) and concomitant risk factors (transfusion of >6 U packed red blood cells and/or presence of significant comorbidities) are diverted, while patients with no risk factors undergo resection plus anastomosis (RA). Outcomes included suture line failure (SLF), abscess, and mortality. Stratification analysis was performed to determine additional risk factors in the management of blunt colon injuries. A total 151 patients were identified: 76 with destructive injuries and 75 with ND injuries. Of those with destructive injuries, 44 (59%) underwent RA and 29 (39%) underwent diversion. All ND injuries underwent primary repair. Adherence to the ALG was 95%: three patients with destructive injuries underwent primary repair, and five patients with risk factors underwent RA. There were three SLFs (2%) (one involved deviation from the ALG) and eight abscesses (5%). Colon-related mortality was 2.1%. Stratification analysis based on mesenteric involvement, degree of shock, and need for abbreviated laparotomy failed to identify additional risk factors for SLF following RA for blunt colon injuries. Adherence to an ALG, originally defined for penetrating colon injuries, simplified the management of blunt colon injuries. ND injuries should be primarily repaired. For destructive wounds, management based on a defined ALG achieves an acceptably low morbidity and mortality rate. Prognostic/epidemiologic study, level III; therapeutic study, level IV.

Navigating Identities: Subtle and Public Agency of Bicultural Gay Youth.

PubMed

Cense, Marianne; Ganzevoort, R Ruard

2017-01-01

Young people who discover their sexual attraction to people of the same sex often go through a period of ambivalence or distress, especially when they grow up in an environment that condemns homosexuality. The Dutch sociopolitical context makes the expression of same-sex desires among those with non-Dutch roots even more complicated and risky, as prevailing schemes of interpretation render the two identities incompatible. This study explores the expressions of same-sex desires and identities as well as the different forms of agency of bicultural gay youth. In-depth interviews with 14 young adults reveal how young people negotiate bicultural identities in Dutch society that brings to the fore complexities in managing diverse sexual identities and strong religious and cultural affiliations in tandem. Their strategies have the effect of questioning dominant discourses and transcend the oppositional dichotomy between sexual and ethnic forms of sociocultural otherness.

Polynomial-time algorithms for building a consensus MUL-tree.

PubMed

Cui, Yun; Jansson, Jesper; Sung, Wing-Kin

2012-09-01

A multi-labeled phylogenetic tree, or MUL-tree, is a generalization of a phylogenetic tree that allows each leaf label to be used many times. MUL-trees have applications in biogeography, the study of host-parasite cospeciation, gene evolution studies, and computer science. Here, we consider the problem of inferring a consensus MUL-tree that summarizes a given set of conflicting MUL-trees, and present the first polynomial-time algorithms for solving it. In particular, we give a straightforward, fast algorithm for building a strict consensus MUL-tree for any input set of MUL-trees with identical leaf label multisets, as well as a polynomial-time algorithm for building a majority rule consensus MUL-tree for the special case where every leaf label occurs at most twice. We also show that, although it is NP-hard to find a majority rule consensus MUL-tree in general, the variant that we call the singular majority rule consensus MUL-tree can be constructed efficiently whenever it exists.

Feasibility of using algorithm-based clinical decision support for symptom assessment and management in lung cancer.

PubMed

Cooley, Mary E; Blonquist, Traci M; Catalano, Paul J; Lobach, David F; Halpenny, Barbara; McCorkle, Ruth; Johns, Ellis B; Braun, Ilana M; Rabin, Michael S; Mataoui, Fatma Zohra; Finn, Kathleen; Berry, Donna L; Abrahm, Janet L

2015-01-01

Distressing symptoms interfere with the quality of life in patients with lung cancer. Algorithm-based clinical decision support (CDS) to improve evidence-based management of isolated symptoms seems promising, but no reports yet address multiple symptoms. This study examined the feasibility of CDS for a Symptom Assessment and Management Intervention targeting common symptoms in patients with lung cancer (SAMI-L) in ambulatory oncology. The study objectives were to evaluate completion and delivery rates of the SAMI-L report and clinician adherence to the algorithm-based recommendations. Patients completed a web-based symptom assessment and SAMI-L created tailored recommendations for symptom management. Completion of assessments and delivery of reports were recorded. Medical record review assessed clinician adherence to recommendations. Feasibility was defined as 75% or higher report completion and delivery rates and 80% or higher clinician adherence to recommendations. Descriptive statistics and generalized estimating equations were used for data analyses. Symptom assessment completion was 84% (95% CI=81-87%). Delivery of completed reports was 90% (95% CI=86-93%). Depression (36%), pain (30%), and fatigue (18%) occurred most frequently, followed by anxiety (11%) and dyspnea (6%). On average, overall recommendation adherence was 57% (95% CI=52-62%) and was not dependent on the number of recommendations (P=0.45). Adherence was higher for anxiety (66%; 95% CI=55-77%), depression (64%; 95% CI=56-71%), pain (62%; 95% CI=52-72%), and dyspnea (51%; 95% CI=38-64%) than for fatigue (38%; 95% CI=28-47%). The CDS systems, such as SAMI-L, have the potential to fill a gap in promoting evidence-based care. Copyright © 2015 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Developmental endocrine influences on gender identity: implications for management of disorders of sex development.

PubMed

Byne, William

2006-11-01

When a baby is born, the first medical pronouncement is usually, "It's a boy," or "It's a girl." In most cases, this pronouncement is based simply upon the appearance of the child's external genitalia. Due to variations in the process of sexual differentiation, sometimes the gender that should be assigned is not apparent from inspection of the external genitalia, either because they are "ambiguous" or because their appearance is not congruent with the internal anatomy. Decisions must be made not only about the most appropriate gender to assign the infant but also about the medical and rearing practices that will facilitate optimal psychological development and quality of life for the affected individual. This article will review the approach to managing gender disorders that has evolved since the 1950s. Three issues are identified as central to current shifts that are occurring in the management of these disorders: (a) increased understanding of the biological substrates of gender identity; (b) questions regarding the indications for irreversible cosmetic genital surgeries as a means of reinforcing gender assignments in infancy, and (c) ethical issues pertaining to informed consent and who is entitled to give it, particularly with regard to surgical gender reassignments in infancy. In keeping with the neuropsychiatry theme of this issue, the focus of this article is on prenatal sexual differentiation of the brain as it pertains to the question of psychosexual neutrality at birth.

[Algorithms for treatment of complex hand injuries].

PubMed

Pillukat, T; Prommersberger, K-J

2011-07-01

The primary treatment strongly influences the course and prognosis of hand injuries. Complex injuries which compromise functional recovery are especially challenging. Despite an apparently unlimited number of injury patterns it is possible to develop strategies which facilitate a standardized approach to operative treatment. In this situation algorithms can be important guidelines for a rational approach. The following algorithms have been proven in the treatment of complex injuries of the hand by our own experience. They were modified according to the current literature and refer to prehospital care, emergency room management, basic strategy in general and reconstruction of bone and joints, vessels, nerves, tendons and soft tissue coverage in detail. Algorithms facilitate the treatment of severe hand injuries. Applying simple yes/no decisions complex injury patterns are split into distinct partial problems which can be managed step by step.

A Clustering Algorithm for Ecological Stream Segment Identification from Spatially Extensive Digital Databases

NASA Astrophysics Data System (ADS)

Brenden, T. O.; Clark, R. D.; Wiley, M. J.; Seelbach, P. W.; Wang, L.

2005-05-01

Remote sensing and geographic information systems have made it possible to attribute variables for streams at increasingly detailed resolutions (e.g., individual river reaches). Nevertheless, management decisions still must be made at large scales because land and stream managers typically lack sufficient resources to manage on an individual reach basis. Managers thus require a method for identifying stream management units that are ecologically similar and that can be expected to respond similarly to management decisions. We have developed a spatially-constrained clustering algorithm that can merge neighboring river reaches with similar ecological characteristics into larger management units. The clustering algorithm is based on the Cluster Affinity Search Technique (CAST), which was developed for clustering gene expression data. Inputs to the clustering algorithm are the neighbor relationships of the reaches that comprise the digital river network, the ecological attributes of the reaches, and an affinity value, which identifies the minimum similarity for merging river reaches. In this presentation, we describe the clustering algorithm in greater detail and contrast its use with other methods (expert opinion, classification approach, regular clustering) for identifying management units using several Michigan watersheds as a backdrop.

Ethnic Identity in Everyday Life: The Influence of Identity Development Status

PubMed Central

Yip, Tiffany

2013-01-01

The current study explores the intersection of ethnic identity development and significance in a sample of 354 diverse adolescents (mean age 14). Adolescents completed surveys 5 times a day for 1 week. Cluster analyses revealed 4 identity clusters: diffused, foreclosed, moratorium, achieved. Achieved adolescents reported the highest levels of identity salience across situations, followed by moratorium adolescents. Achieved and moratorium adolescents also reported a positive association between identity salience and private regard. For foreclosed and achieved adolescents reporting low levels of centrality, identity salience was associated with lower private regard. For foreclosed and achieved adolescents reporting high levels of centrality, identity salience was associated with higher private regard. PMID:23581701

Teacher Educators: Their Identities, Sub-Identities and Implications for Professional Development

ERIC Educational Resources Information Center

Swennen, Anja; Jones, Ken; Volman, Monique

2010-01-01

In this article we address the question: "What sub-identities of teacher educators emerge from the research literature about teacher educators and what are the implications of the sub-identities for the professional development of teacher educators?" Like other professional identities, the identity of teacher educators is a construction of various…

Bridging Identities and Disciplines: Advances and Challenges in Understanding Multiple Identities

ERIC Educational Resources Information Center

Phinney, Jean S.

2008-01-01

The chapters in this volume address the need for a better understanding of the development of intersecting identities over age and context. The chapters provide valuable insights into the development of identities, particularly group identities. They highlight common processes across identities, such as the role of contrast and comparison and the…

Food Culture, Preferences and Ethics in Dysphagia Management.

PubMed

Kenny, Belinda

2015-11-01

Adults with dysphagia experience difficulties swallowing food and fluids with potentially harmful health and psychosocial consequences. Speech pathologists who manage patients with dysphagia are frequently required to address ethical issues when patients' food culture and/ or preferences are inconsistent with recommended diets. These issues incorporate complex links between food, identity and social participation. A composite case has been developed to reflect ethical issues identified by practising speech pathologists for the purposes of illustrating ethical concerns in dysphagia management. The case examines a speech pathologist's role in supporting patient autonomy when patients and carers express different goals and values. The case presents a 68-year-old man of Australian/Italian heritage with severe swallowing impairment and strong values attached to food preferences. The case is examined through application of the dysphagia algorithm, a tool for shared decision-making when patients refuse dietary modifications. Case analysis revealed the benefits and challenges of shared decision-making processes in dysphagia management. Four health professional skills and attributes were identified as synonymous with shared decision making: communication, imagination, courage and reflection. © 2015 John Wiley & Sons Ltd.

Autonomous sensor manager agents (ASMA)

NASA Astrophysics Data System (ADS)

Osadciw, Lisa A.

2004-04-01

Autonomous sensor manager agents are presented as an algorithm to perform sensor management within a multisensor fusion network. The design of the hybrid ant system/particle swarm agents is described in detail with some insight into their performance. Although the algorithm is designed for the general sensor management problem, a simulation example involving 2 radar systems is presented. Algorithmic parameters are determined by the size of the region covered by the sensor network, the number of sensors, and the number of parameters to be selected. With straight forward modifications, this algorithm can be adapted for most sensor management problems.

Surgical management of early endometrial cancer: an update and proposal of a therapeutic algorithm.

PubMed

Falcone, Francesca; Balbi, Giancarlo; Di Martino, Luca; Grauso, Flavio; Salzillo, Maria Elena; Messalli, Enrico Michelino

2014-07-26

In the last few years technical improvements have produced a dramatic shift from traditional open surgery towards a minimally invasive approach for the management of early endometrial cancer. Advancement in minimally invasive surgical approaches has allowed extensive staging procedures to be performed with significantly reduced patient morbidity. Debate is ongoing regarding the choice of a minimally invasive approach that has the most effective benefit for the patients, the surgeon, and the healthcare system as a whole. Surgical treatment of women with presumed early endometrial cancer should take into account the features of endometrial disease and the general surgical risk of the patient. Women with endometrial cancer are often aged, obese, and with cardiovascular and metabolic comorbidities that increase the risk of peri-operative complications, so it is important to tailor the extent and the radicalness of surgery in order to decrease morbidity and mortality potentially derivable from unnecessary procedures. In this regard women with negative nodes derive no benefit from unnecessary lymphadenectomy, but may develop short- and long-term morbidity related to this procedure. Preoperative and intraoperative techniques could be critical tools for tailoring the extent and the radicalness of surgery in the management of women with presumed early endometrial cancer. In this review we will discuss updates in surgical management of early endometrial cancer and also the role of preoperative and intraoperative evaluation of lymph node status in influencing surgical options, with the aim of proposing a management algorithm based on the literature and our experience.

A Dual Identity Approach for Conceptualizing and Measuring Children's Gender Identity.

PubMed

Martin, Carol Lynn; Andrews, Naomi C Z; England, Dawn E; Zosuls, Kristina; Ruble, Diane N

2017-01-01

The goal was to test a new dual identity perspective on gender identity by asking children (n = 467) in three grades (M age  = 5.7, 7.6, 9.5) to consider the relation of the self to both boys and girls. This change shifted the conceptualization of gender identity from one to two dimensions, provided insights into the meaning and measurement of gender identity, and allowed for revisiting ideas about the roles of gender identity in adjustment. Using a graphical measure to allow assessment of identity in young children and cluster analyses to determine types of identity, it was found that individual and developmental differences in how similar children feel to both genders, and these variations matter for many important personal and social outcomes. © 2016 The Authors. Child Development © 2016 Society for Research in Child Development, Inc.

Efficient computation of kinship and identity coefficients on large pedigrees.

PubMed

Cheng, En; Elliott, Brendan; Ozsoyoglu, Z Meral

2009-06-01

With the rapidly expanding field of medical genetics and genetic counseling, genealogy information is becoming increasingly abundant. An important computation on pedigree data is the calculation of identity coefficients, which provide a complete description of the degree of relatedness of a pair of individuals. The areas of application of identity coefficients are numerous and diverse, from genetic counseling to disease tracking, and thus, the computation of identity coefficients merits special attention. However, the computation of identity coefficients is not done directly, but rather as the final step after computing a set of generalized kinship coefficients. In this paper, we first propose a novel Path-Counting Formula for calculating generalized kinship coefficients, which is motivated by Wright's path-counting method for computing inbreeding coefficient. We then present an efficient and scalable scheme for calculating generalized kinship coefficients on large pedigrees using NodeCodes, a special encoding scheme for expediting the evaluation of queries on pedigree graph structures. Furthermore, we propose an improved scheme using Family NodeCodes for the computation of generalized kinship coefficients, which is motivated by the significant improvement of using Family NodeCodes for inbreeding coefficient over the use of NodeCodes. We also perform experiments for evaluating the efficiency of our method, and compare it with the performance of the traditional recursive algorithm for three individuals. Experimental results demonstrate that the resulting scheme is more scalable and efficient than the traditional recursive methods for computing generalized kinship coefficients.

Critical incidents in nursing academics: discovering a new identity.

PubMed

Aguayo-González, Mariela; Castelló-Badía, Montserrat; Monereo-Font, Carles

2015-01-01

a qualitative study that followed the principles of the grounded theory in order to analyze the professional identity of nursing academics through the analysis of the most disturbing critical incidents. semi-structured interviews were conducted with seven nurses who worked as professors and researchers in a private university in Barcelona. the resulting empirical material was organized into two categories: characterization of critical incidents and responsiveness to the incident. the professional identity of nurses regarding the academic area is still under construction and inexperience is the major obstacle in the management of critical incidents in the teaching career.

The Identity Mapping Project: Demographic differences in patterns of distributed identity.

PubMed

Gilbert, Richard L; Dionisio, John David N; Forney, Andrew; Dorin, Philip

2015-01-01

The advent of cloud computing and a multi-platform digital environment is giving rise to a new phase of human identity called "The Distributed Self." In this conception, aspects of the self are distributed into a variety of 2D and 3D digital personas with the capacity to reflect any number of combinations of now malleable personality traits. In this way, the source of human identity remains internal and embodied, but the expression or enactment of the self becomes increasingly external, disembodied, and distributed on demand. The Identity Mapping Project (IMP) is an interdisciplinary collaboration between psychology and computer Science designed to empirically investigate the development of distributed forms of identity. Methodologically, it collects a large database of "identity maps" - computerized graphical representations of how active someone is online and how their identity is expressed and distributed across 7 core digital domains: email, blogs/personal websites, social networks, online forums, online dating sites, character based digital games, and virtual worlds. The current paper reports on gender and age differences in online identity based on an initial database of distributed identity profiles.

Computational plasticity algorithm for particle dynamics simulations

NASA Astrophysics Data System (ADS)

Krabbenhoft, K.; Lyamin, A. V.; Vignes, C.

2018-01-01

The problem of particle dynamics simulation is interpreted in the framework of computational plasticity leading to an algorithm which is mathematically indistinguishable from the common implicit scheme widely used in the finite element analysis of elastoplastic boundary value problems. This algorithm provides somewhat of a unification of two particle methods, the discrete element method and the contact dynamics method, which usually are thought of as being quite disparate. In particular, it is shown that the former appears as the special case where the time stepping is explicit while the use of implicit time stepping leads to the kind of schemes usually labelled contact dynamics methods. The framing of particle dynamics simulation within computational plasticity paves the way for new approaches similar (or identical) to those frequently employed in nonlinear finite element analysis. These include mixed implicit-explicit time stepping, dynamic relaxation and domain decomposition schemes.

Neurodegeneration and Identity.

PubMed

Strohminger, Nina; Nichols, Shaun

2015-09-01

There is a widespread notion, both within the sciences and among the general public, that mental deterioration can rob individuals of their identity. Yet there have been no systematic investigations of what types of cognitive damage lead people to appear to no longer be themselves. We measured perceived identity change in patients with three kinds of neurodegenerative disease: frontotemporal dementia, Alzheimer's disease, and amyotrophic lateral sclerosis. Structural equation models revealed that injury to the moral faculty plays the primary role in identity discontinuity. Other cognitive deficits, including amnesia, have no measurable impact on identity persistence. Accordingly, frontotemporal dementia has the greatest effect on perceived identity, and amyotrophic lateral sclerosis has the least. We further demonstrated that perceived identity change fully mediates the impact of neurodegenerative disease on relationship deterioration between patient and caregiver. Our results mark a departure from theories that ground personal identity in memory, distinctiveness, dispositional emotion, or global mental function. © The Author(s) 2015.

The Identity and Identity Identification of Teachers

ERIC Educational Resources Information Center

Qu, Zhengwei

2008-01-01

When we tend to analyze the living conditions of teachers, system arrangement and identity identification can be considered a significant method for analysis. In reality, there appears a phenomenon of overlapping identification in the identity identification of teachers in China, which leads to plural selections in the identification manners of…

Does Everyone Have a Musical Identity?: Reflections on "Musical Identities"

ERIC Educational Resources Information Center

Gracyk, Theodore

2004-01-01

The book, "Musical Identities" (Raymond MacDonald, David Hargreaves, Dorothy Miell, eds.; Oxford and New York: Oxford University Press, 2002) consists of 11 essays on the psychology of music. The editors divided the essays into two groups: those on developing musical identities ("identities in music" involving recognizable…

Korean Adoptee Identity: Adoptive and Ethnic Identity Profiles of Adopted Korean Americans.

PubMed

Beaupre, Adam J; Reichwald, Reed; Zhou, Xiang; Raleigh, Elizabeth; Lee, Richard M

2015-12-01

Adopted Korean adolescents face the task of grappling with their identity as Koreans and coming to terms with their adoptive status. In order to explore these dual identities, the authors conducted a person-centered study of the identity profiles of 189 adopted Korean American adolescents. Using cluster analytic procedures, the study examined patterns of commitment to ethnic and adoptive identities, revealing six conceptually unique identity clusters. Analyzing the association between these identity profiles and psychological adjustment, the study found that the identity profiles were undifferentiated with respect to behavioral development and risk behaviors. However, group differences were found on life satisfaction, school adjustment, and family functioning. Results confirm the importance of considering the collective impact of multiple social identities on a variety of outcomes. The social implications of the results are discussed. © 2015 Wiley Periodicals, Inc.

Perspectives on Sexual Identity Formation, Identity Practices, and Identity Transitions Among Men Who Have Sex With Men in India.

PubMed

Tomori, Cecilia; Srikrishnan, Aylur K; Ridgeway, Kathleen; Solomon, Sunil S; Mehta, Shruti H; Solomon, Suniti; Celentano, David D

2018-01-01

Men who have sex with men (MSM) remain at high risk for HIV infection. Culturally specific sexual identities, encompassing sexual roles, behavior, and appearance, may shape MSM's experiences of stigmatization and discrimination, and affect their vulnerability to HIV. This multi-site qualitative study (n = 363) encompassing 31 focus group discussions (FGDs) and 121 in-depth interviews (IDIs) across 15 sites in India investigated sexual identity formation, identity practices, and transitions and their implications for HIV prevention. IDIs and FGDs were transcribed, translated, and underwent thematic analysis. Our findings document heterogeneous sexual identity formation, with MSM who have more gender nonconforming behaviors or appearance reporting greater family- and community-level disapproval, harassment, violence, and exclusion. Concealing feminine aspects of sexual identities was important in daily life, especially for married MSM. Some participants negotiated their identity practices in accordance with socioeconomic and cultural pressures, including taking on identity characteristics to suit consumer demand in sex work and on extended periods of joining communities of hijras (sometimes called TG or transgender women). Participants also reported that some MSM transition toward more feminine and hijra or transgender women identities, motivated by intersecting desires for feminine gender expression and by social exclusion and economic marginalization. Future studies should collect information on gender nonconformity stigma, and any changes in sexual identity practices or plans for transitions to other identities over time, in relation to HIV risk behaviors and outcomes.

The Family as a Site for Gendered Ethnic Identity Work among Asian Indian Immigrants

ERIC Educational Resources Information Center

Mehrotra, Meeta; Calasanti, Toni M.

2010-01-01

Research on immigrants often points to the family as a source of support and a location for oppression. Using in-depth interviews with 38 first-generation immigrant Indians, this study adds to this literature by exploring families as sites of identity work where first-generation immigrants manage their gendered ethnic identities. Relocation into a…

Modeling in the State Flow Environment to Support Launch Vehicle Verification Testing for Mission and Fault Management Algorithms in the NASA Space Launch System

NASA Technical Reports Server (NTRS)

Trevino, Luis; Berg, Peter; England, Dwight; Johnson, Stephen B.

2016-01-01

Analysis methods and testing processes are essential activities in the engineering development and verification of the National Aeronautics and Space Administration's (NASA) new Space Launch System (SLS). Central to mission success is reliable verification of the Mission and Fault Management (M&FM) algorithms for the SLS launch vehicle (LV) flight software. This is particularly difficult because M&FM algorithms integrate and operate LV subsystems, which consist of diverse forms of hardware and software themselves, with equally diverse integration from the engineering disciplines of LV subsystems. M&FM operation of SLS requires a changing mix of LV automation. During pre-launch the LV is primarily operated by the Kennedy Space Center (KSC) Ground Systems Development and Operations (GSDO) organization with some LV automation of time-critical functions, and much more autonomous LV operations during ascent that have crucial interactions with the Orion crew capsule, its astronauts, and with mission controllers at the Johnson Space Center. M&FM algorithms must perform all nominal mission commanding via the flight computer to control LV states from pre-launch through disposal and also address failure conditions by initiating autonomous or commanded aborts (crew capsule escape from the failing LV), redundancy management of failing subsystems and components, and safing actions to reduce or prevent threats to ground systems and crew. To address the criticality of the verification testing of these algorithms, the NASA M&FM team has utilized the State Flow environment6 (SFE) with its existing Vehicle Management End-to-End Testbed (VMET) platform which also hosts vendor-supplied physics-based LV subsystem models. The human-derived M&FM algorithms are designed and vetted in Integrated Development Teams composed of design and development disciplines such as Systems Engineering, Flight Software (FSW), Safety and Mission Assurance (S&MA) and major subsystems and vehicle elements

A longitudinal integration of identity styles and educational identity processes in adolescence.

PubMed

Negru-Subtirica, Oana; Pop, Eleonora Ioana; Crocetti, Elisabetta

2017-11-01

Identity formation is a main adolescent psychosocial developmental task. The complex interconnection between different processes that are at the basis of one's identity is a research and applied intervention priority. In this context, the identity style model focuses on social-cognitive strategies (i.e., informational, normative, and diffuse-avoidant) that individuals can use to deal with identity formation. The 3-factor identity dimensional model examines the interplay between identity processes of commitment, in-depth exploration, and reconsideration of commitment in different life domains. Theoretical integrations between these models have been proposed, but there is a dearth of studies unraveling their longitudinal links in specific identity domains. We addressed this gap by testing in a 3-wave longitudinal study the bidirectional associations between identity styles and educational identity processes measured during 1 academic year. Participants were 1,151 adolescents (58.7% female). Results highlighted that the informational style was related over time to higher levels of educational commitment and in-depth exploration, whereas the diffuse-avoidant style was related to lower levels of commitment and higher levels of reconsideration of commitment. Educational commitment was positively related to the informational and normative styles; in-depth exploration was positively related to the informational style; and reconsideration of commitment was positively related to the diffuse-avoidant style. These relations were not moderated by adolescents' gender and age. Hence, identity styles and educational identity processes reinforce each other during 1 academic year. Theoretical integrations between these models, suggestions for integration with other identity approaches (e.g., narrative identity models), and practical implications are discussed. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Identity Styles and Religiosity: Examining the Role of Identity Commitment

ERIC Educational Resources Information Center

Grajales, Tevni E.; Sommers, Brittany

2016-01-01

This study observed the role of identity styles, identity commitment, and identity statuses in predicting religiosity in a sample of undergraduate students attending a Seventh-day Adventist university (N = 138). Two structural models were evaluated via path analysis. Results revealed two strong models for the prediction of religiosity. Identity…

Validating the Western Trauma Association algorithm for managing patients with anterior abdominal stab wounds: a Western Trauma Association multicenter trial.

PubMed

Biffl, Walter L; Kaups, Krista L; Pham, Tam N; Rowell, Susan E; Jurkovich, Gregory J; Burlew, Clay Cothren; Elterman, J; Moore, Ernest E

2011-12-01

The optimal management of stable patients with anterior abdominal stab wounds (AASWs) remains a matter of debate. A recent Western Trauma Association (WTA) multicenter trial found that exclusion of peritoneal penetration by local wound exploration (LWE) allowed immediate discharge (D/C) of 41% of patients with AASWs. Performance of computed tomography (CT) scanning or diagnostic peritoneal lavage (DPL) did not improve the D/C rate; however, these tests led to nontherapeutic (NONTHER) laparotomy (LAP) in 24% and 31% of cases, respectively. An algorithm was proposed that included LWE, followed by either D/C or admission for serial clinical assessments, without further imaging or invasive testing. The purpose of this study was to evaluate the safety and efficacy of the algorithm in providing timely interventions for significant injuries. A multicenter, institutional review board-approved study enrolled patients with AASWs. Management was guided by the WTA AASW algorithm. Data on the presentation, evaluation, and clinical course were recorded prospectively. Two hundred twenty-two patients (94% men, age, 34.7 years ± 0.3 years) were enrolled. Sixty-two (28%) had immediate LAP, of which 87% were therapeutic (THER). Three (1%) died and the mean length of stay (LOS) was 6.9 days. One hundred sixty patients were stable and asymptomatic, and 81 of them (51%) were managed entirely per protocol. Twenty (25%) were D/C'ed from the emergency department after (-) LWE, and 11 (14%) were taken to the operating room (OR) for LAP when their clinical condition changed. Two (2%) of the protocol group underwent NONTHER LAP, and no patient experienced morbidity or mortality related to delay in treatment. Seventy-nine (49%) patients had deviations from protocol. There were 47 CT scans, 11 DPLs, and 9 laparoscopic explorations performed. In addition to the laparoscopic procedures, 38 (48%) patients were taken to the OR based on test results rather than a change in the patient's clinical

Political, religious and occupational identities in context: placing identity status paradigm in context.

PubMed

Solomontos-Kountouri, Olga; Hurry, Jane

2008-04-01

This study critically contrasts global identity with domain-specific identities (political, religious and occupational) and considers context and gender as integral parts of identity. In a cross-sectional survey, 1038 Greek Cypriot adolescents (449 boys and 589 girls, mean age 16.8) from the three different types of secondary schools (state, state technical and private) and from different SES completed part of the Extended Objective Measure of Ego Identity Status-2 (EOMEIS-2). The macro-context of Greek Cypriot society is used to understand the role of context in adolescents' identities. Results showed that Greek Cypriot young people were not in the same statuses across their global, political, religious and occupational identities. This heterogeneity in the status of global identity and of each identity domain is partially explained by differences in gender, type of school and SES (socio-economic status). The fact that identity status is found to be reactive to context suggests that developmental stage models of identity status should place greater emphasis on context.

Algorithms for in-season nutrient management in cereals

USDA-ARS?s Scientific Manuscript database

The demand for improved decision making products for cereal production systems has placed added emphasis on using plant sensors in-season, and that incorporate real-time, site specific, growing environments. The objective of this work was to describe validated in-season sensor based algorithms prese...

Nocardial scleritis: A case report and a suggested algorithm for disease management based on a literature review.

PubMed

Cunha, Laura Pires da; Juncal, Verena; Carvalhaes, Cecília Godoy; Leão, Sylvia Cardoso; Chimara, Erica; Freitas, Denise

2018-06-01

To report a case of nocardial scleritis and to propose a logical treatment algorithm based on a literature review. It is important to suspect a nocardial infection when evaluating anterior unilateral scleritis accompanied by multiple purulent or necrotic abscesses, especially in male patients with a history of chronic ocular pain and redness, trauma inflicted by organic materials, or recent ophthalmic surgery. A microbiological investigation is essential. In positive cases, a direct smear reveals weakly acid-fast organisms or Gram-positive, thin, beading and branching filaments. Also, the organism (usually) grows on blood agar and Lowenstein-Jensen plates. An infection can generally be fully resolved by debridement of necrotic areas and application of topical amikacin drops accompanied by systemic sulfamethoxazole-trimethoprim. Together with the case report described, we review data on a total of 43 eyes with nocardial scleritis. Our proposed algorithm may afford a useful understanding of this sight-threatening disease, facilitating easier and faster diagnosis and management.

Management Development in the NHS: Nurses and Managers, Discourses and Identities

ERIC Educational Resources Information Center

Sambrook, Sally

2006-01-01

Purpose: Aims to provide a brief discussion of discourses of HRD, then a brief review of HRD within the NHS, including stakeholders in HRD, and particularly management development. To explore some of the different discourses used by different managers, particularly those with a nursing background and those without, and the possible reasons for the…

Using a generalised identity reference model with archetypes to support interoperability of demographics information in electronic health record systems.

PubMed

Xu Chen; Berry, Damon; Stephens, Gaye

2015-01-01

Computerised identity management is in general encountered as a low-level mechanism that enables users in a particular system or region to securely access resources. In the Electronic Health Record (EHR), the identifying information of both the healthcare professionals who access the EHR and the patients whose EHR is accessed, are subject to change. Demographics services have been developed to manage federated patient and healthcare professional identities and to support challenging healthcare-specific use cases in the presence of diverse and sometimes conflicting demographic identities. Demographics services are not the only use for identities in healthcare. Nevertheless, contemporary EHR specifications limit the types of entities that can be the actor or subject of a record to health professionals and patients, thus limiting the use of two level models in other healthcare information systems. Demographics are ubiquitous in healthcare, so for a general identity model to be usable, it should be capable of managing demographic information. In this paper, we introduce a generalised identity reference model (GIRM) based on key characteristics of five surveyed demographic models. We evaluate the GIRM by using it to express the EN13606 demographics model in an extensible way at the metadata level and show how two-level modelling can support the exchange of instances of demographic identities. This use of the GIRM to express demographics information shows its application for standards-compliant two-level modelling alongside heterogeneous demographics models. We advocate this approach to facilitate the interoperability of identities between two-level model-based EHR systems and show the validity and the extensibility of using GIRM for the expression of other health-related identities.

Identity and Intimacy during Adolescence: Connections among Identity Styles, Romantic Attachment and Identity Commitment

ERIC Educational Resources Information Center

Kerpelman, Jennifer L.; Pittman, Joe F.; Cadely, Hans Saint-Eloi; Tuggle, Felicia J.; Harrell-Levy, Marinda K.; Adler-Baeder, Francesca M.

2012-01-01

Integration of adult attachment and psychosocial development theories suggests that adolescence is a time when capacities for romantic intimacy and identity formation are co-evolving. The current study addressed direct, indirect and moderated associations among identity and romantic attachment constructs with a diverse sample of 2178 middle…

Managing injuries of hepatic duct confluence variants after major hepatobiliary surgery: An algorithmic approach

PubMed Central

Fragulidis, Georgios; Marinis, Athanasios; Polydorou, Andreas; Konstantinidis, Christos; Anastasopoulos, Georgios; Contis, John; Voros, Dionysios; Smyrniotis, Vassilios

2008-01-01

AIM:To investigate injuries of anatomy variants of hepatic duct confluence during hepatobiliary surgery and their impact on morbidity and mortality of these procedures. An algorithmic approach for the management of these injuries is proposed. METHODS: During a 6-year period 234 patients who had undergone major hepatobiliary surgery were retrospectively reviewed in order to study postoperative bile leakage. Diagnostic workup included endoscopic and magnetic retrograde cholangiopancreatography (E/MRCP), scintigraphy and fistulography. RESULTS: Thirty (12.8%) patients who developed postoperative bile leaks were identified. Endoscopic stenting and percutaneous drainage were successful in 23 patients with bile leaks from the liver cut surface. In the rest seven patients with injuries of hepatic duct confluence, biliary variations were recognized and a stepwise therapeutic approach was considered. Conservative management was successful only in 2 patients. Volume of the liver remnant and functional liver reserve as well as local sepsis were used as criteria for either resection of the corresponding liver segment or construction of a biliary-enteric anastomosis. Two deaths occurred in this group of patients with hepatic duct confluence variants (mortality rate 28.5%). CONCLUSION: Management of major biliary fistulae that are disconnected from the mainstream of the biliary tree and related to injury of variants of the hepatic duct confluence is extremely challenging. These patients have a grave prognosis and an early surgical procedure has to be considered. PMID:18494057

Validation of YCAR algorithm over East Asia TCCON sites

NASA Astrophysics Data System (ADS)

Kim, W.; Kim, J.; Jung, Y.; Lee, H.; Goo, T. Y.; Cho, C. H.; Lee, S.

2016-12-01

In order to reduce the retrieval error of TANSO-FTS column averaged CO2 concentration (XCO2) induced by aerosol, we develop the Yonsei university CArbon Retrieval (YCAR) algorithm using aerosol information from TANSO-Cloud and Aerosol Imager (TANSO-CAI), providing simultaneous aerosol optical depth properties for the same geometry and optical path along with the FTS. Also we validate the retrieved results using ground-based TCCON measurement. Particularly this study first utilized the measurements at Anmyeondo, the only TCCON site located in South Korea, which can improve the quality of validation in East Asia. After the post screening process, YCAR algorithms have higher data availability by 33 - 85 % than other operational algorithms (NIES, ACOS, UoL). Although the YCAR algorithm has higher data availability, regression analysis with TCCON measurements are better or similar to other algorithms; Regression line of YCAR algorithm is close to linear identity function with RMSE of 2.05, bias of - 0.86 ppm. According to error analysis, retrieval error of YCAR algorithm is 1.394 - 1.478 ppm at East Asia. In addition, spatio-temporal sampling error of 0.324 - 0.358 ppm for each single sounding retrieval is also analyzed with Carbon Tracker - Asia data. These results of error analysis reveal the reliability and accuracy of latest version of our YCAR algorithm. Both XCO2 values retrieved using YCAR algorithm on TANSO-FTS and TCCON measurements show the consistent increasing trend about 2.3 - 2.6 ppm per year. Comparing to the increasing rate of global background CO2 amount measured in Mauna Loa, Hawaii (2 ppm per year), the increasing trend in East Asia shows about 30% higher trend due to the rapid increase of CO2 emission from the source region.

Shades of American Identity: Implicit Relations between Ethnic and National Identities

PubMed Central

Devos, Thierry; Mohamed, Hafsa

2015-01-01

The issue of ethnic diversity and national identity in an immigrant nation such as the USA is a recurrent topic of debate. We review and integrate research examining the extent to which the American identity is implicitly granted or denied to members of different ethnic groups. Consistently, European Americans are implicitly conceived of as being more American than African, Asian, Latino, and even Native Americans. This implicit American = White effect emerges when explicit knowledge or perceptions point in the opposite direction. The propensity to deny the American identity to members of ethnic minorities is particularly pronounced when targets (individuals or groups) are construed through the lenses of ethnic identities. Implicit ethnic–national associations fluctuate as a function of perceivers’ ethnic identity and political orientation, but also contextual or situational factors. The tendency to equate being American with being White accounts for the strength of national identification (among European Americans) and behavioral responses including hiring recommendations and voting intentions. The robust propensity to deny the American identity to ethnic minority groups reflects an exclusionary national identity. PMID:27011765

Surgical Management of Early Endometrial Cancer: An Update and Proposal of a Therapeutic Algorithm

PubMed Central

Falcone, Francesca; Balbi, Giancarlo; Di Martino, Luca; Grauso, Flavio; Salzillo, Maria Elena; Messalli, Enrico Michelino

2014-01-01

In the last few years technical improvements have produced a dramatic shift from traditional open surgery towards a minimally invasive approach for the management of early endometrial cancer. Advancement in minimally invasive surgical approaches has allowed extensive staging procedures to be performed with significantly reduced patient morbidity. Debate is ongoing regarding the choice of a minimally invasive approach that has the most effective benefit for the patients, the surgeon, and the healthcare system as a whole. Surgical treatment of women with presumed early endometrial cancer should take into account the features of endometrial disease and the general surgical risk of the patient. Women with endometrial cancer are often aged, obese, and with cardiovascular and metabolic comorbidities that increase the risk of peri-operative complications, so it is important to tailor the extent and the radicalness of surgery in order to decrease morbidity and mortality potentially derivable from unnecessary procedures. In this regard women with negative nodes derive no benefit from unnecessary lymphadenectomy, but may develop short- and long-term morbidity related to this procedure. Preoperative and intraoperative techniques could be critical tools for tailoring the extent and the radicalness of surgery in the management of women with presumed early endometrial cancer. In this review we will discuss updates in surgical management of early endometrial cancer and also the role of preoperative and intraoperative evaluation of lymph node status in influencing surgical options, with the aim of proposing a management algorithm based on the literature and our experience. PMID:25063051

Identity configurations: a new perspective on identity formation in contemporary society.

PubMed

Schachter, Elli P

2004-02-01

This paper deals with the theoretical construct of "identity configuration." It portrays the different possible ways in which individuals configure the relationship among potentially conflicting identifications in the process of identity formation. In order to explicate these configurations, I analyzed narratives of identity development retold by individuals describing personal identity conflicts that arise within a larger context of sociocultural conflict. Thirty Jewish modern orthodox young adults were interviewed regarding a potentially conflictual identity issue (i.e. their religious and sexual development). Their deliberations, as described in the interviews, were examined, and four different configurations were identified: a configuration based on choice and suppression; an assimilative and synthesizing configuration; a confederacy of identifications; and a configuration based on the thrill of dissonance. The different configurations are illustrated through exemplars, and the possible implications of the concept of "configuration" for identity theory are discussed.

Computing the Expected Cost of an Appointment Schedule for Statistically Identical Customers with Probabilistic Service Times

PubMed Central

Dietz, Dennis C.

2014-01-01

A cogent method is presented for computing the expected cost of an appointment schedule where customers are statistically identical, the service time distribution has known mean and variance, and customer no-shows occur with time-dependent probability. The approach is computationally efficient and can be easily implemented to evaluate candidate schedules within a schedule optimization algorithm. PMID:24605070

Distilling the Verification Process for Prognostics Algorithms

NASA Technical Reports Server (NTRS)

Roychoudhury, Indranil; Saxena, Abhinav; Celaya, Jose R.; Goebel, Kai

2013-01-01

The goal of prognostics and health management (PHM) systems is to ensure system safety, and reduce downtime and maintenance costs. It is important that a PHM system is verified and validated before it can be successfully deployed. Prognostics algorithms are integral parts of PHM systems. This paper investigates a systematic process of verification of such prognostics algorithms. To this end, first, this paper distinguishes between technology maturation and product development. Then, the paper describes the verification process for a prognostics algorithm as it moves up to higher maturity levels. This process is shown to be an iterative process where verification activities are interleaved with validation activities at each maturation level. In this work, we adopt the concept of technology readiness levels (TRLs) to represent the different maturity levels of a prognostics algorithm. It is shown that at each TRL, the verification of a prognostics algorithm depends on verifying the different components of the algorithm according to the requirements laid out by the PHM system that adopts this prognostics algorithm. Finally, using simplified examples, the systematic process for verifying a prognostics algorithm is demonstrated as the prognostics algorithm moves up TRLs.

Non-Algorithmic Issues in Automated Computational Mechanics

DTIC Science & Technology

1991-04-30

Tworzydlo, Senior Research Engineer and Manager of Advanced Projects Group I. Professor I J. T. Oden, President and Senior Scientist of COMCO, was project...practical applications of the systems reported so far is due to the extremely arduous and complex development and management of a realistic knowledge base...software, designed to effectively implement deep, algorithmic knowledge, * and 0 "intelligent" software, designed to manage shallow, heuristic

Extreme-Scale Algorithms & Software Resilience (EASIR) Architecture-Aware Algorithms for Scalable Performance and Resilience on Heterogeneous Architectures

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

Demmel, James W.

This project addresses both communication-avoiding algorithms, and reproducible floating-point computation. Communication, i.e. moving data, either between levels of memory or processors over a network, is much more expensive per operation than arithmetic (measured in time or energy), so we seek algorithms that greatly reduce communication. We developed many new algorithms for both dense and sparse, and both direct and iterative linear algebra, attaining new communication lower bounds, and getting large speedups in many cases. We also extended this work in several ways: (1) We minimize writes separately from reads, since writes may be much more expensive than reads on emergingmore » memory technologies, like Flash, sometimes doing asymptotically fewer writes than reads. (2) We extend the lower bounds and optimal algorithms to arbitrary algorithms that may be expressed as perfectly nested loops accessing arrays, where the array subscripts may be arbitrary affine functions of the loop indices (eg A(i), B(i,j+k, k+3*m-7, …) etc.). (3) We extend our communication-avoiding approach to some machine learning algorithms, such as support vector machines. This work has won a number of awards. We also address reproducible floating-point computation. We define reproducibility to mean getting bitwise identical results from multiple runs of the same program, perhaps with different hardware resources or other changes that should ideally not change the answer. Many users depend on reproducibility for debugging or correctness. However, dynamic scheduling of parallel computing resources, combined with nonassociativity of floating point addition, makes attaining reproducibility a challenge even for simple operations like summing a vector of numbers, or more complicated operations like the Basic Linear Algebra Subprograms (BLAS). We describe an algorithm that computes a reproducible sum of floating point numbers, independent of the order of summation. The algorithm depends only on

Portable Health Algorithms Test System

NASA Technical Reports Server (NTRS)

Melcher, Kevin J.; Wong, Edmond; Fulton, Christopher E.; Sowers, Thomas S.; Maul, William A.

2010-01-01

A document discusses the Portable Health Algorithms Test (PHALT) System, which has been designed as a means for evolving the maturity and credibility of algorithms developed to assess the health of aerospace systems. Comprising an integrated hardware-software environment, the PHALT system allows systems health management algorithms to be developed in a graphical programming environment, to be tested and refined using system simulation or test data playback, and to be evaluated in a real-time hardware-in-the-loop mode with a live test article. The integrated hardware and software development environment provides a seamless transition from algorithm development to real-time implementation. The portability of the hardware makes it quick and easy to transport between test facilities. This hard ware/software architecture is flexible enough to support a variety of diagnostic applications and test hardware, and the GUI-based rapid prototyping capability is sufficient to support development execution, and testing of custom diagnostic algorithms. The PHALT operating system supports execution of diagnostic algorithms under real-time constraints. PHALT can perform real-time capture and playback of test rig data with the ability to augment/ modify the data stream (e.g. inject simulated faults). It performs algorithm testing using a variety of data input sources, including real-time data acquisition, test data playback, and system simulations, and also provides system feedback to evaluate closed-loop diagnostic response and mitigation control.

Identity Federation and Its Importance for NASA's Future: The SharePoint Extranet Pilot

NASA Technical Reports Server (NTRS)

Baturin, Rebecca R.

2013-01-01

My project at Kennedy Space Center (KSC) during the spring 2013 Project Management and Systems Engineering Internship was to functionalJy test and deploy the SharePoint Extranet system and ensure successful completion of the project's various lifecycle milestones as described by NASA Procedural Requirement (NPR) 7 120.7. I worked alongside NASA Project Managers, Systems Integration Engineers, and Information Technology (IT) Professionals to pilot this collaboration capability between NASA and its External Partners. The use of identity federation allows NASA to leverage externally-issued credentials of other federal agencies and private aerospace and defense companies, versus the traditional process of granting and maintaining full NASA identities for these individuals. This is the first system of its kind at NASA and it will serve as a pilot for the Federal Government. Recognizing the novelty of this service, NASA's initial approach for deployment included a pilot period where nearby employees of Patrick Air Force Base would assist in testing and deployment. By utilizing a credential registration process, Air Force users mapped their Air Force-issued Common Access Cards (CAC) to a NASA identity for access to the External SharePoint. Once the Air Force stands up an Active Directory Federation Services (ADFS) instance within their Data Center and establishes a direct trust with NASA, true identity federation can be established. The next partner NASA is targeting for collaboration is Lockheed Martin (LMCO), since they collaborate frequently for the ORION Program. Through the use of Exostar as an identity hub, LMCO employees will be able to access NASA data on a need to know basis, with NASA ultimately managing access. In a time when every dollar and resource is being scrutinized, this capability is an exciting new way for NASA to continue its collaboration efforts in a cost and resource effective manner.

"I'm Not an Immigrant!": Resistance, Redefinition, and the Role of Resources in Identity Work

ERIC Educational Resources Information Center

Killian, Caitlin; Johnson, Cathryn

2006-01-01

In this paper we examine the identity negotiation processes of North African immigrant women in France. Participants engaged in various forms of identity work, including selective association and management of appearance, as well as resisting others' attempts to categorize them as immigrants. Given that these women have chosen to move to France…

Developing an algorithm of informative markers for evaluation of chimerism after allogeneic bone marrow transplantation.

PubMed

Sellathamby, S; Balasubramanian, P; Sivalingam, S; Shaji, R V; Mathews, V; George, B; Viswabandya, A; Srivastava, A; Chandy, M

2006-04-01

Analysis of chimerism by polymerase chain reaction amplification of STR or VNTR has become a routine procedure for the evaluation of engraftment after allogeneic stem cell transplantation. Knowledge of the frequency of different STR or VNTR alleles in unrelated individuals in a population is useful for forensic work. In the context of HLA identical sibling bone marrow transplantation the informativeness of these markers needs to be evaluated. We evaluated five STRs (THO1, VWA, FES, ACTBP2, and F13A1) and 1 VNTR (APOB) for informativeness in stem cell transplants from HLA identical sibling donors. All four markers used individually allowed us to discriminate 20-56% of the patient donor pairs. Using a combination of all these markers along with a polymorphic marker in the beta-globin gene and the sex chromosome specific amelogenin marker, we were able to discriminate 99% of the patient donor pairs. We have established an algorithm for evaluating chimerism following HLA identical sibling donor transplants in the Indian population using molecular markers in 310 patients. Analysis of heterozygote frequencies in different populations is similar suggesting that this algorithm can be used universally for transplant centers to evaluate chimerism following allogeneic bone marrow transplantation.

Classification of Cough as a Symptom in Adults and Management Algorithms: CHEST Guideline and Expert Panel Report.

PubMed

Irwin, Richard S; French, Cynthia L; Chang, Anne B; Altman, Kenneth W

2018-01-01

We performed systematic reviews using the population, intervention, comparison, outcome (PICO) format to answer the following key clinical question: Are the CHEST 2006 classifications of acute, subacute and chronic cough and associated management algorithms in adults that were based on durations of cough useful? We used the CHEST Expert Cough Panel's protocol for the systematic reviews and the American College of Chest Physicians (CHEST) methodological guidelines and Grading of Recommendations Assessment, Development, and Evaluation framework. Data from the systematic reviews in conjunction with patient values and preferences and the clinical context were used to form recommendations or suggestions. Delphi methodology was used to obtain the final grading. With respect to acute cough (< 3 weeks), only three studies met our criteria for quality assessment, and all had a high risk of bias. As predicted by the 2006 CHEST Cough Guidelines, the most common causes were respiratory infections, most likely of viral cause, followed by exacerbations of underlying diseases such as asthma and COPD and pneumonia. The subjects resided on three continents: North America, Europe, and Asia. With respect to subacute cough (duration, 3-8 weeks), only two studies met our criteria for quality assessment, and both had a high risk of bias. As predicted by the 2006 guidelines, the most common causes were postinfectious cough and exacerbation of underlying diseases such as asthma, COPD, and upper airway cough syndrome (UACS). The subjects resided in countries in Asia. With respect to chronic cough (> 8 weeks), 11 studies met our criteria for quality assessment, and all had a high risk of bias. As predicted by the 2006 guidelines, the most common causes were UACS from rhinosinus conditions, asthma, gastroesophageal reflux disease, nonasthmatic eosinophilic bronchitis, combinations of these four conditions, and, less commonly, a variety of miscellaneous conditions and atopic cough in Asian

Lesbian Teachers' Identity, Power and the Public/Private Boundary

ERIC Educational Resources Information Center

Rudoe, Naomi

2010-01-01

This article examines lesbian teachers' negotiation of the public/private boundary in the school, focusing on identity management in the context of the heterosexualised space of this public institution. The study is based on interviews conducted with six lesbian teachers working in London secondary schools. I examine the teachers' responses, and…

Polynomial-Time Algorithms for Building a Consensus MUL-Tree

PubMed Central

Cui, Yun; Jansson, Jesper

2012-01-01

Abstract A multi-labeled phylogenetic tree, or MUL-tree, is a generalization of a phylogenetic tree that allows each leaf label to be used many times. MUL-trees have applications in biogeography, the study of host–parasite cospeciation, gene evolution studies, and computer science. Here, we consider the problem of inferring a consensus MUL-tree that summarizes a given set of conflicting MUL-trees, and present the first polynomial-time algorithms for solving it. In particular, we give a straightforward, fast algorithm for building a strict consensus MUL-tree for any input set of MUL-trees with identical leaf label multisets, as well as a polynomial-time algorithm for building a majority rule consensus MUL-tree for the special case where every leaf label occurs at most twice. We also show that, although it is NP-hard to find a majority rule consensus MUL-tree in general, the variant that we call the singular majority rule consensus MUL-tree can be constructed efficiently whenever it exists. PMID:22963134

An Effective Algorithm for Management of Noses with Thick Skin.

PubMed

Guyuron, Bahman; Lee, Michelle

2017-04-01

Thicker nasal skin blunts the definition of the underlying osseocartilaginous frame and the delicate topography of the nose posing additional challenges in producing desirable tip definition. Despite the recognized challenge in this patient population, there is a paucity of literature on how to overcome this problem. The goal of this article is to provide a systematic algorithm to manage patients with thick nasal skin. Approach to the thick nasal skin patient begins with an evaluation of the etiology of their skin thickness. Skin thickness secondary to sebaceous overactivity is diminished with the use of retinoic acid derivatives, lasers or isotretinoin (Accutane), commonly under the advice of the dermatologist. Rhinoplasty maneuvers include open technique, raising a healthy and reasonably thick skin flap overlying the tip, removing the remaining fat overlying and between the domes, creating a firm cartilaginous frame and eliminating dead space using the supratip suture reported by the senior author, and trimming redundant nasal skin envelope when indicated. This systematic approach has been greatly effective in achieving often predictable and aesthetically pleasing rhinoplasty results. This journal requires that authors assign a level of evidence to each article. For a full description of these evidence-based medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Textual blocks rectification method based on fast Hough transform analysis in identity documents recognition

NASA Astrophysics Data System (ADS)

Bezmaternykh, P. V.; Nikolaev, D. P.; Arlazarov, V. L.

2018-04-01

Textual blocks rectification or slant correction is an important stage of document image processing in OCR systems. This paper considers existing methods and introduces an approach for the construction of such algorithms based on Fast Hough Transform analysis. A quality measurement technique is proposed and obtained results are shown for both printed and handwritten textual blocks processing as a part of an industrial system of identity documents recognition on mobile devices.

Personal Identity in Italy

ERIC Educational Resources Information Center

Crocetti, Elisabetta; Rabaglietti, Emanuela; Sica, Luigia Simona

2012-01-01

This chapter discusses specifics of identity formation in Italian adolescents and emerging adults. We review consistent evidence illustrating that, in Italy, a progressive deferral of transition to adulthood strongly impacts youth identity development by stimulating identity exploration and postponement of identity commitments. We also consider…

‘Stealing me from myself’: identity and recovery in personal accounts of mental illness

PubMed Central

Bruce, Kevin; Saedi, Goal Auzeen; Weis, Teresa; Green, Carla A.

2013-01-01

Objectives To understand and promote recovery from serious mental illnesses, it is important to study the perspectives of individuals who are coping with mental health problems. The aim of the present study was to examine identity-related themes in published self-narratives of family members and individuals with serious mental illness. It adds to the body of research addressing how identity affects the process of recovery and identifies potential opportunities for using published narratives to support individuals as they move toward positive identities that facilitate recovery. Method Forty-five personal accounts from individuals with severe mental illness, which were published in two prominent research journals between 1998 and 2003, were qualitatively analysed. Results Individuals with mental illness and their family members described a loss of self and identity that had to be overcome, or at least managed, for recovery to become possible. Writers described (i) a loss of self, (ii) the duality of (ill/well) selves, (iii) perceptions of normality, (iv) specific concerns about parenting and identity, and (v) hope and reconciliation. Conclusions Individuals’ stories of their experiences of severe mental illness describe severe challenges managing identity. Efforts to publish personal accounts that focus on strengths-based patient-centred stories, rather than on deficits, could be helpful to provide hope for patients. These published narratives highlight the importance of moving recovery and hope to the forefront among patient, family, and clinician groups. Increasing such information and role models can provide important resources to individuals working to redefine themselves and create a sense of self-worth and stable identity that will support productive, happy lives. PMID:18465375

Column generation algorithms for virtual network embedding in flexi-grid optical networks.

PubMed

Lin, Rongping; Luo, Shan; Zhou, Jingwei; Wang, Sheng; Chen, Bin; Zhang, Xiaoning; Cai, Anliang; Zhong, Wen-De; Zukerman, Moshe

2018-04-16

Network virtualization provides means for efficient management of network resources by embedding multiple virtual networks (VNs) to share efficiently the same substrate network. Such virtual network embedding (VNE) gives rise to a challenging problem of how to optimize resource allocation to VNs and to guarantee their performance requirements. In this paper, we provide VNE algorithms for efficient management of flexi-grid optical networks. We provide an exact algorithm aiming to minimize the total embedding cost in terms of spectrum cost and computation cost for a single VN request. Then, to achieve scalability, we also develop a heuristic algorithm for the same problem. We apply these two algorithms for a dynamic traffic scenario where many VN requests arrive one-by-one. We first demonstrate by simulations for the case of a six-node network that the heuristic algorithm obtains very close blocking probabilities to exact algorithm (about 0.2% higher). Then, for a network of realistic size (namely, USnet) we demonstrate that the blocking probability of our new heuristic algorithm is about one magnitude lower than a simpler heuristic algorithm, which was a component of an earlier published algorithm.

Evolutionary Approach for Relative Gene Expression Algorithms

PubMed Central

Czajkowski, Marcin

2014-01-01

A Relative Expression Analysis (RXA) uses ordering relationships in a small collection of genes and is successfully applied to classiffication using microarray data. As checking all possible subsets of genes is computationally infeasible, the RXA algorithms require feature selection and multiple restrictive assumptions. Our main contribution is a specialized evolutionary algorithm (EA) for top-scoring pairs called EvoTSP which allows finding more advanced gene relations. We managed to unify the major variants of relative expression algorithms through EA and introduce weights to the top-scoring pairs. Experimental validation of EvoTSP on public available microarray datasets showed that the proposed solution significantly outperforms in terms of accuracy other relative expression algorithms and allows exploring much larger solution space. PMID:24790574

Comparison of various contact algorithms for poroelastic tissues.

PubMed

Galbusera, Fabio; Bashkuev, Maxim; Wilke, Hans-Joachim; Shirazi-Adl, Aboulfazl; Schmidt, Hendrik

2014-01-01

Capabilities of the commercial finite element package ABAQUS in simulating frictionless contact between two saturated porous structures were evaluated and compared with those of an open source code, FEBio. In ABAQUS, both the default contact implementation and another algorithm based on an iterative approach requiring script programming were considered. Test simulations included a patch test of two cylindrical slabs in a gapless contact and confined compression conditions; a confined compression test of a porous cylindrical slab with a spherical porous indenter; and finally two unconfined compression tests of soft tissues mimicking diarthrodial joints. The patch test showed almost identical results for all algorithms. On the contrary, the confined and unconfined compression tests demonstrated large differences related to distinct physical and boundary conditions considered in each of the three contact algorithms investigated in this study. In general, contact with non-uniform gaps between fluid-filled porous structures could be effectively simulated with either ABAQUS or FEBio. The user should be aware of the parameter definitions, assumptions and limitations in each case, and take into consideration the physics and boundary conditions of the problem of interest when searching for the most appropriate model.

A Distributed and Energy-Efficient Algorithm for Event K-Coverage in Underwater Sensor Networks

PubMed Central

Jiang, Peng; Xu, Yiming; Liu, Jun

2017-01-01

For event dynamic K-coverage algorithms, each management node selects its assistant node by using a greedy algorithm without considering the residual energy and situations in which a node is selected by several events. This approach affects network energy consumption and balance. Therefore, this study proposes a distributed and energy-efficient event K-coverage algorithm (DEEKA). After the network achieves 1-coverage, the nodes that detect the same event compete for the event management node with the number of candidate nodes and the average residual energy, as well as the distance to the event. Second, each management node estimates the probability of its neighbor nodes’ being selected by the event it manages with the distance level, the residual energy level, and the number of dynamic coverage event of these nodes. Third, each management node establishes an optimization model that uses expectation energy consumption and the residual energy variance of its neighbor nodes and detects the performance of the events it manages as targets. Finally, each management node uses a constrained non-dominated sorting genetic algorithm (NSGA-II) to obtain the Pareto set of the model and the best strategy via technique for order preference by similarity to an ideal solution (TOPSIS). The algorithm first considers the effect of harsh underwater environments on information collection and transmission. It also considers the residual energy of a node and a situation in which the node is selected by several other events. Simulation results show that, unlike the on-demand variable sensing K-coverage algorithm, DEEKA balances and reduces network energy consumption, thereby prolonging the network’s best service quality and lifetime. PMID:28106837

A Distributed and Energy-Efficient Algorithm for Event K-Coverage in Underwater Sensor Networks.

PubMed

Jiang, Peng; Xu, Yiming; Liu, Jun

2017-01-19

For event dynamic K-coverage algorithms, each management node selects its assistant node by using a greedy algorithm without considering the residual energy and situations in which a node is selected by several events. This approach affects network energy consumption and balance. Therefore, this study proposes a distributed and energy-efficient event K-coverage algorithm (DEEKA). After the network achieves 1-coverage, the nodes that detect the same event compete for the event management node with the number of candidate nodes and the average residual energy, as well as the distance to the event. Second, each management node estimates the probability of its neighbor nodes' being selected by the event it manages with the distance level, the residual energy level, and the number of dynamic coverage event of these nodes. Third, each management node establishes an optimization model that uses expectation energy consumption and the residual energy variance of its neighbor nodes and detects the performance of the events it manages as targets. Finally, each management node uses a constrained non-dominated sorting genetic algorithm (NSGA-II) to obtain the Pareto set of the model and the best strategy via technique for order preference by similarity to an ideal solution (TOPSIS). The algorithm first considers the effect of harsh underwater environments on information collection and transmission. It also considers the residual energy of a node and a situation in which the node is selected by several other events. Simulation results show that, unlike the on-demand variable sensing K-coverage algorithm, DEEKA balances and reduces network energy consumption, thereby prolonging the network's best service quality and lifetime.

Talkin' Musical Identities Blues

ERIC Educational Resources Information Center

Lamb, Roberta

2004-01-01

After reading the book "Musical Identities" (Raymond MacDonald, David Hargreaves, Dorothy Miell, eds.; Oxford and New York: Oxford University Press, 2002), this author states she finds it difficult to separate "identities in music" from "music in identities." In fact, she cannot conceive of music apart from identity.…

Human identity versus gender identity: The perception of sexual addiction among Iranian women.

PubMed

Moshtagh, Mozhgan; Mirlashari, Jila; Rafiey, Hassan; Azin, Ali; Farnam, Robert

2017-07-01

This qualitative study was conducted to explore the images of personal identity from the perspective of women with sexual addiction. The data required for the study were collected through 31 in-depth interviews. Sensing a threat to personal identity, dissatisfaction with gender identity, dissociation with the continuum of identity, and identity reconstruction in response to threat were four of the experiences that were common among women with sexual addiction. Painful emotional experiences appear to have created a sense of gender and sexual conflict or weakness in these women and thus threatened their personal identity and led to their sexual addiction.

Who do we think we are? Analysing the content and form of identity work in the English National Health Service.

PubMed

McDermott, Imelda; Checkland, Kath; Harrison, Stephen; Snow, Stephanie; Coleman, Anna

2013-01-01

The language used by National Health Service (NHS) "commissioning" managers when discussing their roles and responsibilities can be seen as a manifestation of "identity work", defined as a process of identifying. This paper aims to offer a novel approach to analysing "identity work" by triangulation of multiple analytical methods, combining analysis of the content of text with analysis of its form. Fairclough's discourse analytic methodology is used as a framework. Following Fairclough, the authors use analytical methods associated with Halliday's systemic functional linguistics. While analysis of the content of interviews provides some information about NHS Commissioners' perceptions of their roles and responsibilities, analysis of the form of discourse that they use provides a more detailed and nuanced view. Overall, the authors found that commissioning managers have a higher level of certainty about what commissioning is not rather than what commissioning is; GP managers have a high level of certainty of their identity as a GP rather than as a manager; and both GP managers and non-GP managers oscillate between multiple identities depending on the different situations they are in. This paper offers a novel approach to triangulation, based not on the usual comparison of multiple data sources, but rather based on the application of multiple analytical methods to a single source of data. This paper also shows the latent uncertainty about the nature of commissioning enterprise in the English NHS.

Identities in Harmony: Gender-Work Identity Integration Moderates Frame Switching in Cognitive Processing

ERIC Educational Resources Information Center

Sacharin, Vera; Lee, Fiona; Gonzalez, Richard

2009-01-01

Professional women's identity integration--the perceived compatibility between work and gender identities--plays a role in how task or relationship information is processed. Seventy female business school students were primed with either their professional or their gender identity. Business women with higher identity integration showed an…

Negotiating Contexts to Construct an Identity as a Mathematics Teacher

ERIC Educational Resources Information Center

Hodges, Thomas E.; Cady, Jo Ann

2012-01-01

The authors focused on 1 middle-grades mathematics teacher's identity and her efforts to implement standards-based instructional practices. As professionals, teachers participate in multiple professional communities and must negotiate and manage conflicting agendas. The authors analyze how the contexts of these communities influence the teacher's…

Derivation of a regional active-optical reflectance sensor corn algorithm

USDA-ARS?s Scientific Manuscript database

Active-optical reflectance sensor (AORS) algorithms developed for in-season corn (Zea mays L.) N management have traditionally been derived using sub-regional scale information. However, studies have shown these previously developed AORS algorithms are not consistently accurate when used on a region...

Clinical algorithms to aid osteoarthritis guideline dissemination.

PubMed

Meneses, S R F; Goode, A P; Nelson, A E; Lin, J; Jordan, J M; Allen, K D; Bennell, K L; Lohmander, L S; Fernandes, L; Hochberg, M C; Underwood, M; Conaghan, P G; Liu, S; McAlindon, T E; Golightly, Y M; Hunter, D J

2016-09-01

Numerous scientific organisations have developed evidence-based recommendations aiming to optimise the management of osteoarthritis (OA). Uptake, however, has been suboptimal. The purpose of this exercise was to harmonize the recent recommendations and develop a user-friendly treatment algorithm to facilitate translation of evidence into practice. We updated a previous systematic review on clinical practice guidelines (CPGs) for OA management. The guidelines were assessed using the Appraisal of Guidelines for Research and Evaluation for quality and the standards for developing trustworthy CPGs as established by the National Academy of Medicine (NAM). Four case scenarios and algorithms were developed by consensus of a multidisciplinary panel. Sixteen guidelines were included in the systematic review. Most recommendations were directed toward physicians and allied health professionals, and most had multi-disciplinary input. Analysis for trustworthiness suggests that many guidelines still present a lack of transparency. A treatment algorithm was developed for each case scenario advised by recommendations from guidelines and based on panel consensus. Strategies to facilitate the implementation of guidelines in clinical practice are necessary. The algorithms proposed are examples of how to apply recommendations in the clinical context, helping the clinician to visualise the patient flow and timing of different treatment modalities. Copyright © 2016 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

Thinking identity differently: dynamics of identity in self and institutional boundary

NASA Astrophysics Data System (ADS)

Albrecht, Nancy J.; Fortney, Brian S.

2011-03-01

In research oriented universities, research and teaching are often viewed as separate. Aydeniz and Hodge present one professor's struggles to synthesize an identity from three different spaces, each with competing values and core beliefs. As Mr. G's story unfolds, and he reflects upon his negotiation between teaching and research responsibilities, we seek to expand the discussion by presenting a caution to identity researchers. The caution pertains to construction of understanding on how identities are created, and the role that individual stories take in how identities are created and enacted. In this forum contribution, we present several questions in the hopes of furthering the discussion on identity research, and our understanding of the conceptualization of institutional boundaries and objectivity, as well as questions on participant involvement in the process of research.

Crisis management during anaesthesia: hypotension.

PubMed

Morris, R W; Watterson, L M; Westhorpe, R N; Webb, R K

2005-06-01

Hypotension is commonly encountered in association with anaesthesia and surgery. Uncorrected and sustained it puts the brain, heart, kidneys, and the fetus in pregnancy at risk of permanent or even fatal damage. Its recognition and correction is time critical, especially in patients with pre-existing disease that compromises organ perfusion. To examine the role of a previously described core algorithm "COVER ABCD-A SWIFT CHECK", supplemented by a specific sub-algorithm for hypotension, in the management of hypotension when it occurs in association with anaesthesia. Reports of hypotension during anaesthesia were extracted and studied from the first 4000 incidents reported to the Australian Incident Monitoring Study (AIMS). The potential performance of the COVER ABCD algorithm and the sub-algorithm for hypotension was compared with the actual management as reported by the anaesthetist involved. There were 438 reports that mentioned hypotension, cardiovascular collapse, or cardiac arrest. In 17% of reports more than one cause was attributed and 550 causative events were identified overall. The most common causes identified were drugs (26%), regional anaesthesia (14%), and hypovolaemia (9%). Concomitant changes were reported in heart rate or rhythm in 39% and oxygen saturation or ventilation in 21% of reports. Cardiac arrest was documented in 25% of reports. As hypotension was frequently associated with abnormalities of other vital signs, it could not always be adequately addressed by a single algorithm. The sub-algorithm for hypotension is adequate when hypotension occurs in association with sinus tachycardia. However, when it occurs in association with bradycardia, non-sinus tachycardia, desaturation or signs of anaphylaxis or other problems, the sub-algorithm for hypotension recommends cross referencing to other relevant sub-algorithms. It was considered that, correctly applied, the core algorithm COVER ABCD would have diagnosed 18% of cases and led to resolution in

Social Identity in People with Multiple Sclerosis: An Examination of Family Identity and Mood.

PubMed

Barker, Alex B; Lincoln, Nadina B; Hunt, Nigel; dasNair, Roshan

2018-01-01

Mood disorders are highly prevalent in people with multiple sclerosis (MS). MS causes changes to a person's sense of self. The Social Identity Model of Identity Change posits that group membership can have a positive effect on mood during identity change. The family is a social group implicated in adjustment to MS. The objectives of this study were to investigate whether family identity can predict mood in people with MS and to test whether this prediction was mediated by social support and connectedness to others. This cross-sectional survey of 195 participants comprised measures of family identity, family social support, connectedness to others, and mood. Family identity predicted mood both directly and indirectly through parallel mediators of family social support and connectedness to others. Family identity predicted mood as posited by the Social Identity Model of Identity Change. Involving the family in adjustment to MS could reduce low mood.

Management of locally advanced rectal cancer in the elderly: a critical review and algorithm

PubMed Central

Maloney-Patel, Nell; Malhotra, Usha; Wang, Shang-Jui; Chokhavatia, Sita; Dalal, Ishita; Poplin, Elizabeth; Jabbour, Salma K.

2018-01-01

Colorectal cancer incidence and death rates have been declining over the past 10 years. However, it remains the second leading cause of death in men ages 60–79 and the third leading cause of death in men over 80 and in women over 60 years old. However, there is little data specific to the treatment of the elder patient, since few of these patients are included in trials. With the advent of improved therapies, there are many alternative options available. Still, no definitive consensus or guidelines have been defined for this particular patient population. The goal of this study is to review the literature on the management of rectal cancer in the elderly and to propose treatment algorithms to help the oncology team in treatment decision-making. PMID:29755777

Narrating and Performing Identity: Literacy Specialists' Writing Identities

ERIC Educational Resources Information Center

McKinney, Marilyn; Giorgis, Cyndi

2009-01-01

In this study, we explored ways that four literacy specialists who worked in three schools that were part of one state's Reading Excellence Act (REA) grant constructed their identities as writers and as teachers of writing. We also explored how they negotiated the performance of those identities in different contexts over a two-year period.…

Bridge health monitoring metrics : updating the bridge deficiency algorithm.

DOT National Transportation Integrated Search

2009-10-01

As part of its bridge management system, the Alabama Department of Transportation (ALDOT) must decide how best to spend its bridge replacement funds. In making these decisions, ALDOT managers currently use a deficiency algorithm to rank bridges that ...

Identity-specific motivation: How distinct identities direct self-regulation across distinct situations.

PubMed

Browman, Alexander S; Destin, Mesmin; Molden, Daniel C

2017-12-01

Research on self-regulation has traditionally emphasized that people's thoughts and actions are guided by either (a) domain-general motivations that emerge from a cumulative history of life experiences, or (b) situation-specific motivations that emerge in immediate response to the incentives present in a particular context. However, more recent studies have illustrated the importance of understanding the interplay between such domain-general and situation-specific motivations across the types of contexts people regularly encounter. The present research, therefore, expands existing perspectives on self-regulation by investigating how people's identities -the internalized roles, relationships, and social group memberships that define who they are-systemically guide when and how different domain-general motivations are activated within specific types of situations. Using the motivational framework described by regulatory focus theory (Higgins, 1997), Studies 1 and 2 demonstrate that people indeed have distinct, identity-specific motivations that uniquely influence their current self-regulation when such identities are active. Studies 3-5 then begin to explore how identity-specific motivations are situated within people's larger self-concept. Studies 3a and 3b demonstrate that the less compatible people's specific identities, the more distinct are the motivations connected to those identities. Studies 4-5 then provide some initial, suggestive evidence that identity-specific motivations are not a separate, superordinate feature of people's identities that then alter how they pursue any subordinate, identity-relevant traits, but instead that such motivations emerge from the cumulative motivational significance of the subordinate traits to which the identities themselves become attached. Implications for understanding the role of the self-concept in self-regulation are discussed. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Social Identity and Preferences*

PubMed Central

Benjamin, Daniel J.; Choi, James J.; Strickland, A. Joshua

2009-01-01

Social identities prescribe behaviors for people. We identify the marginal behavioral effect of these norms on discount rates and risk aversion by measuring how laboratory subjects’ choices change when an aspect of social identity is made salient. When we make ethnic identity salient to Asian-American subjects, they make more patient choices. When we make racial identity salient to black subjects, non-immigrant blacks (but not immigrant blacks) make more patient choices. Making gender identity salient has no effect on intertemporal or risk choices. PMID:20871741

Professional Identity, Adaptation and the Self: Cases of New Zealand School Principals during a Time of Change

ERIC Educational Resources Information Center

Notman, Ross

2017-01-01

There is developing interest in how professional identity can support educational leaders' management of change. This article explores the conceptualisation and interplay of identity formation with adaptive and contingent forms of educational leadership. The article draws on qualitative data obtained from two New Zealand school principals and…

Memory transfer for emotionally valenced words between identities in dissociative identity disorder.

PubMed

Huntjens, Rafaële J C; Peters, Madelon L; Woertman, Liesbeth; van der Hart, Onno; Postma, Albert

2007-04-01

The present study aimed to determine interidentity retrieval of emotionally valenced words in dissociative identity disorder (DID). Twenty-two DID patients participated together with 25 normal controls and 25 controls instructed to simulate DID. Two wordlists A and B were constructed including neutral, positive and negative material. List A was shown to one identity, while list B was shown to another identity claiming total amnesia for the words learned by the first identity. The identity claiming amnesia was tested for intrusions from list A words into the recall of words from list B and recognition of the words learned by both identities. Test results indicated no evidence of total interidentity amnesia for emotionally valenced material in DID. It is argued that dissociative amnesia in DID may more adequately be described as a disturbance in meta-memory functioning instead of an actual retrieval inability.

Family physicians' professional identity formation: a study protocol to explore impression management processes in institutional academic contexts.

PubMed

Rodríguez, Charo; Pawlikowska, Teresa; Schweyer, Francois-Xavier; López-Roig, Sofia; Bélanger, Emmanuelle; Burns, Jane; Hugé, Sandrine; Pastor-Mira, Maria Ángeles; Tellier, Pierre-Paul; Spencer, Sarah; Fiquet, Laure; Pereiró-Berenguer, Inmaculada

2014-09-06

Despite significant differences in terms of medical training and health care context, the phenomenon of medical students' declining interest in family medicine has been well documented in North America and in many other developed countries as well. As part of a research program on family physicians' professional identity formation initiated in 2007, the purpose of the present investigation is to examine in-depth how family physicians construct their professional image in academic contexts; in other words, this study will allow us to identify and understand the processes whereby family physicians with an academic appointment seek to control the ideas others form about them as a professional group, i.e. impression management. The methodology consists of a multiple case study embedded in the perspective of institutional theory. Four international cases from Canada, France, Ireland and Spain will be conducted; the "case" is the medical school. Four levels of analysis will be considered: individual family physicians, interpersonal relationships, family physician professional group, and organization (medical school). Individual interviews and focus groups with academic family physicians will constitute the main technique for data generation, which will be complemented with a variety of documentary sources. Discourse techniques, more particularly rhetorical analysis, will be used to analyze the data gathered. Within- and cross-case analysis will then be performed. This empirical study is strongly grounded in theory and will contribute to the scant body of literature on family physicians' professional identity formation processes in medical schools. Findings will potentially have important implications for the practice of family medicine, medical education and health and educational policies.

Gender Identity and Career Aspiration to Top Management of Malaysian Graduate Students

ERIC Educational Resources Information Center

Karami, Roya; Ismail, Maimunah; Sail, Rahim Md.

2011-01-01

This article examines the relationship between gender identity and career aspirations of a group of Iranian international postgraduate students studying at a Malaysian public university. This study uses the Farmer's Achievement Motivation Theory and Astin's Sociopsychological Model of Career Choice as theoretical framework. The data were collected…

Food for thought: understanding the value, variety and usage of management algorithms for major depressive disorder.

PubMed

Katzman, Martin A; Anand, Leena; Furtado, Melissa; Chokka, Pratap

2014-12-01

By 2020, depression is projected to be among the most important contributors to the global burden of disease. A plethora of data confirms that despite the availability of effective therapies, major depressive disorder continues to exact an enormous toll; this, in part, is due to difficulties reaching complete remission, as well as the specific associated costs of both the disorder's morbidity and mortality. The negative effects of depression include those on patients' occupational functioning, including absenteeism, presenteeism, and reduced opportunities for educational and work success. The use of management algorithms has been shown to improve treatment outcomes in major depressive disorder and may be less costly than "usual care" practices. Nevertheless, many patients with depression remain untreated. As well, even those who are treated often continue to experience suboptimal quality of life. As such, the treatment algorithms in this article may improve outcomes for patients suffering with depression. This paper introduces some of the principal reasons underlying these treatment gaps and examines measures or recommendations that might be changed or strengthened in future practice guidelines to bridge them. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Operational modelling: the mechanisms influencing TB diagnostic yield in an Xpert® MTB/RIF-based algorithm.

PubMed

Dunbar, R; Naidoo, P; Beyers, N; Langley, I

2017-04-01

Cape Town, South Africa. To compare the diagnostic yield for smear/culture and Xpert® MTB/RIF algorithms and to investigate the mechanisms influencing tuberculosis (TB) yield. We developed and validated an operational model of the TB diagnostic process, first with the smear/culture algorithm and then with the Xpert algorithm. We modelled scenarios by varying TB prevalence, adherence to diagnostic algorithms and human immunodeficiency virus (HIV) status. This enabled direct comparisons of diagnostic yield in the two algorithms to be made. Routine data showed that diagnostic yield had decreased over the period of the Xpert algorithm roll-out compared to the yield when the smear/culture algorithm was in place. However, modelling yield under identical conditions indicated a 13.3% increase in diagnostic yield from the Xpert algorithm compared to smear/culture. The model demonstrated that the extensive use of culture in the smear/culture algorithm and the decline in TB prevalence are the main factors contributing to not finding an increase in diagnostic yield in the routine data. We demonstrate the benefits of an operational model to determine the effect of scale-up of a new diagnostic algorithm, and recommend that policy makers use operational modelling to make appropriate decisions before new diagnostic algorithms are scaled up.

Parameterization of Keeling's network generation algorithm.

PubMed

Badham, Jennifer; Abbass, Hussein; Stocker, Rob

2008-09-01

Simulation is increasingly being used to examine epidemic behaviour and assess potential management options. The utility of the simulations rely on the ability to replicate those aspects of the social structure that are relevant to epidemic transmission. One approach is to generate networks with desired social properties. Recent research by Keeling and his colleagues has generated simulated networks with a range of properties, and examined the impact of these properties on epidemic processes occurring over the network. However, published work has included only limited analysis of the algorithm itself and the way in which the network properties are related to the algorithm parameters. This paper identifies some relationships between the algorithm parameters and selected network properties (mean degree, degree variation, clustering coefficient and assortativity). Our approach enables users of the algorithm to efficiently generate a network with given properties, thereby allowing realistic social networks to be used as the basis of epidemic simulations. Alternatively, the algorithm could be used to generate social networks with a range of property values, enabling analysis of the impact of these properties on epidemic behaviour.

Linking User Identities Across the DataONE Federation of Data Repositories

NASA Astrophysics Data System (ADS)

Jones, M. B.; Mecum, B.; Leinfelder, B.; Jones, C. S.; Walker, L.

2016-12-01

DataONE provides services for identifying, authenticating, and authorizing researchers to access and contribute data to repositories within the DataONE federation. In the earth sciences, thousands of institutional and disciplinary repositories have created their own user identity and authentication systems with their own user directory based on a database or web content management systems. Thus, researchers have many identities that are neither linked nor interoperable, making it difficult to reference the identity of these users across systems. Key user information is hidden, and only a non-disambiguated name is often available. From a sample of 160,000 data sets within DataONE, a super-majority of references to the data creators lack even an email address. In an attempt to disambiguate these people via the GeoLink project, we conservatively estimate they represent at least 57,000 unique identities, but without a clear user identifier, there could be as many as 223,000. Interoperability among repositories is critical to improving the scope of scientific synthesis and capabilities for research collaboration. While many have focused on the convenience of Single Sign-On (SSO), we have found that sharing user identifiers is far more useful for interoperability. With an unambiguous user identity in incoming metadata, DataONE has built user-profiles that present that user's data across repositories, that link users and their organizational affiliations, and that allow users to work collaboratively in private groups that span repository systems. DataONE's user identity solution leverages existing systems such as InCommon, CILogon, Google, and ORCID to not further proliferate user identities. DataONE provides a core service allowing users to link their multiple identities so that authenticating with one identity (e.g., ORCID) can authorize access to data protected via another identity (e.g., InCommon). Currently, DataONE is using ORCID identities to link and identify

Brand Identity.

ERIC Educational Resources Information Center

Lawlor, John

1998-01-01

Instead of differentiating themselves by building "brand identities," colleges and universities often focus on competing with price. As a result, fewer and fewer institutions base their identities on value, the combination of quality and price. Methods of building two concepts to influence customers' brand image and brand loyalty are…

Adolescence: Search for an Identity

ERIC Educational Resources Information Center

Kasinath, H. M.

2013-01-01

James Marcia (1991, 1994, 1999, 2002) expanded on Erikson's theory of identity formation. Specifically, he focused on two essential processes in achieving a mature identity: exploration and commitment. Erikson's observations about identity were extended by Marcia, who described four identity statuses: identity diffusion, foreclosure, moratorium…

Integration of On-Line and Off-Line Diagnostic Algorithms for Aircraft Engine Health Management

NASA Technical Reports Server (NTRS)

Kobayashi, Takahisa; Simon, Donald L.

2007-01-01

This paper investigates the integration of on-line and off-line diagnostic algorithms for aircraft gas turbine engines. The on-line diagnostic algorithm is designed for in-flight fault detection. It continuously monitors engine outputs for anomalous signatures induced by faults. The off-line diagnostic algorithm is designed to track engine health degradation over the lifetime of an engine. It estimates engine health degradation periodically over the course of the engine s life. The estimate generated by the off-line algorithm is used to update the on-line algorithm. Through this integration, the on-line algorithm becomes aware of engine health degradation, and its effectiveness to detect faults can be maintained while the engine continues to degrade. The benefit of this integration is investigated in a simulation environment using a nonlinear engine model.

VET Manager Identities: Culture, Philosophy and Professional Practice

ERIC Educational Resources Information Center

Foley, Annette

2011-01-01

Using a post-structural approach this article investigates the working lives of frontline managers in VET and how they negotiate change in their day to day practices and decision making. The article is organised around accounts made by managers from different types of Vocational Education and Training (VET) organisations, namely: Technical and…

Relational identity theory: a systematic approach for transforming the emotional dimension of conflict.

PubMed

Shapiro, Daniel L

2010-10-01

Emotions are a vital dimension in conflicts among nation-states and communities affiliated by common ethnic, economic, or political interests. Yet the individuals most responsible for managing such conflicts--heads of state, CEOs, intellectual or religious leaders--are often blind to the psychological forces affecting their interests. During 20 years of international research, consulting, and teaching, I have developed a program for teaching thought leaders how to apply psychological principles to achieve their aims while also reducing negative outcomes such as violence, social upheaval, and economic displacement. In this article, I present relational identity theory (RIT), a theoretical and intellectual framework I have originated to help people understand and deal with key emotional dimensions of conflict management. I argue that national and communal bonds are essentially tribal in nature, and I describe how a tribe's unaddressed relational identity concerns make it susceptible to what I term the tribes effect, a rigidification of its relational identity. I provide strategies based on RIT for mitigating the tribes effect and thus enhancing global security. (c) 2010 APA, all rights reserved

Identity and Professional Networking.

PubMed

Raj, Medha; Fast, Nathanael J; Fisher, Oliver

2017-06-01

Despite evidence that large professional networks afford a host of financial and professional benefits, people vary in how motivated they are to build such networks. To help explain this variance, the present article moves beyond a rational self-interest account to examine the possibility that identity shapes individuals' intentions to network. Study 1 established a positive association between viewing professional networking as identity-congruent and the tendency to prioritize strengthening and expanding one's professional network. Study 2 revealed that manipulating the salience of the self affects networking intentions, but only among those high in networking identity-congruence. Study 3 further established causality by experimentally manipulating identity-congruence to increase networking intentions. Study 4 examined whether identity or self-interest is a better predictor of networking intentions, providing support for the former. These findings indicate that identity influences the networks people develop. Implications for research on the self, identity-based motivation, and professional networking are discussed.

Men as victims: "victim" identities, gay identities, and masculinities.

PubMed

Dunn, Peter

2012-11-01

The impact and meanings of homophobic violence on gay men's identities are explored with a particular focus on their identities as men and as gay men. Homosexuality can pose a challenge to conventional masculinities, and for some gay men, being victimized on account of sexual orientation reawakens conflicts about their masculinity that they thought they had resolved. Being victimized can reinvoke shame that is rooted in failure or unwillingness to uphold masculine norms. For some gay men, victimization therefore has connotations of nonmasculinity that make being a victim an undesirable status, yet that status must be claimed to obtain a response from criminal justice or victim services. Men who experience homophobic abuse are helped by accepting a victim identity, but only if they can quickly move on from it by reconstructing a masculine gay (nonvictim) identity. This process can be facilitated by agencies such as the police and victim services, provided they help men exercise agency in "fighting back," that is, resisting further victimization and recovering.

Delft-FEWS:A Decision Making Platform to Intergrate Data, Model, Algorithm for Large-Scale River Basin Water Management

NASA Astrophysics Data System (ADS)

Yang, T.; Welles, E.

2017-12-01

In this paper, we introduce a flood forecasting and decision making platform, named Delft-FEWS, which has been developed over years at the Delft Hydraulics and now at Deltares. The philosophy of Delft-FEWS is to provide water managers and operators with an open shell tool, which allows the integratation of a variety of hydrological, hydraulics, river routing, and reservoir models with hydrometerological forecasts data. Delft-FEWS serves as an powerful tool for both basin-scale and national-scale water resources management. The essential novelty of Delft-FEWS is to change the flood forecasting and water resources management from a single model or agency centric paradigm to a intergrated framework, in which different model, data, algorithm and stakeholders are strongly linked together. The paper will start with the challenges in water resources managment, and the concept and philosophy of Delft-FEWS. Then, the details of data handling and linkages of Delft-FEWS with different hydrological, hydraulic, and reservoir models, etc. Last, several cases studies and applications of Delft-FEWS will be demonstrated, including the National Weather Service and the Bonneville Power Administration in USA, and a national application in the water board in the Netherland.

Negotiation of identity in group therapy for aphasia: the Aphasia Café.

PubMed

Simmons-Mackie, Nina; Elman, Roberta J

2011-01-01

There has been increasing interest in ensuring that aphasia intervention includes attention to the negotiation of a robust identity after the life-altering changes that often accompany the onset of aphasia. But how does one go about simultaneously improving communication and positive identity development within aphasia therapy? Socially oriented group therapy for aphasia has been touted as one means of addressing both psychosocial and communicative goals in aphasia. This article describes the results of a sociolinguistic analysis of group therapy for aphasia in which positive personal and group identity are skilfully negotiated. Sociolinguistic microanalysis of discourse in a group therapy session was undertaken. The session, described as group conversation therapy, included eight adults with aphasia, a speech-language pathologist and an assistant. The session was videotaped and transcribed, and the data were analysed to identify 'indices of identity' within the discourse. This included discourse that exposed members' roles, values or beliefs about themselves or others. The data were further analysed to identify 'patterns' of discourse associated with identity. The result is a detailed description of identity-enhancing discourse within group therapy for aphasia. The findings included several categories associated with the negotiation of identity in therapy including: (1) discourse demonstrating that group members were 'being heard', (2) that the competence of group members was assumed, (3) that 'solidarity' existed in the group, (4) that saving face and promoting positive personal identity was important, and (5) that markers of group identity were made visible via discourse that referenced both member inclusion as well as non-member exclusion. The results suggest that it is possible to create identity-enhancing interactions as part of therapy for aphasia; the analysis demonstrates the potential role of the group leader/clinician in managing identity negotiation in

Approaches to drug therapy for COPD in Russia: a proposed therapeutic algorithm.

PubMed

Zykov, Kirill A; Ovcharenko, Svetlana I

2017-01-01

Until recently, there have been few clinical algorithms for the management of patients with COPD. Current evidence-based clinical management guidelines can appear to be complex, and they lack clear step-by-step instructions. For these reasons, we chose to create a simple and practical clinical algorithm for the management of patients with COPD, which would be applicable to real-world clinical practice, and which was based on clinical symptoms and spirometric parameters that would take into account the pathophysiological heterogeneity of COPD. This optimized algorithm has two main fields, one for nonspecialist treatment by primary care and general physicians and the other for treatment by specialized pulmonologists. Patients with COPD are treated with long-acting bronchodilators and short-acting drugs on a demand basis. If the forced expiratory volume in one second (FEV 1 ) is ≥50% of predicted and symptoms are mild, treatment with a single long-acting muscarinic antagonist or long-acting beta-agonist is proposed. When FEV 1 is <50% of predicted and/or the COPD assessment test score is ≥10, the use of combined bronchodilators is advised. If there is no response to treatment after three months, referral to a pulmonary specialist is recommended for pathophysiological endotyping: 1) eosinophilic endotype with peripheral blood or sputum eosinophilia >3%; 2) neutrophilic endotype with peripheral blood neutrophilia >60% or green sputum; or 3) pauci-granulocytic endotype. It is hoped that this simple, optimized, step-by-step algorithm will help to individualize the treatment of COPD in real-world clinical practice. This algorithm has yet to be evaluated prospectively or by comparison with other COPD management algorithms, including its effects on patient treatment outcomes. However, it is hoped that this algorithm may be useful in daily clinical practice for physicians treating patients with COPD in Russia.

Clarus quality checking algorithm documentation report.

DOT National Transportation Integrated Search

2010-12-21

With funding and support from the USDOT RITA IntelliDrive(SM) initiative and direction from the FHWA Road Weather Management Program, NCAR enhanced QCh algorithms that are a part of the current Clarus System. Moreover, NCAR developed new QCh algorith...

Backup Attitude Control Algorithms for the MAP Spacecraft

NASA Technical Reports Server (NTRS)

ODonnell, James R., Jr.; Andrews, Stephen F.; Ericsson-Jackson, Aprille J.; Flatley, Thomas W.; Ward, David K.; Bay, P. Michael

1999-01-01

The Microwave Anisotropy Probe (MAP) is a follow-on to the Differential Microwave Radiometer (DMR) instrument on the Cosmic Background Explorer (COBE) spacecraft. The MAP spacecraft will perform its mission, studying the early origins of the universe, in a Lissajous orbit around the Earth-Sun L(sub 2) Lagrange point. Due to limited mass, power, and financial resources, a traditional reliability concept involving fully redundant components was not feasible. This paper will discuss the redundancy philosophy used on MAP, describe the hardware redundancy selected (and why), and present backup modes and algorithms that were designed in lieu of additional attitude control hardware redundancy to improve the odds of mission success. Three of these modes have been implemented in the spacecraft flight software. The first onboard mode allows the MAP Kalman filter to be used with digital sun sensor (DSS) derived rates, in case of the failure of one of MAP's two two-axis inertial reference units. Similarly, the second onboard mode allows a star tracker only mode, using attitude and derived rate from one or both of MAP's star trackers for onboard attitude determination and control. The last backup mode onboard allows a sun-line angle offset to be commanded that will allow solar radiation pressure to be used for momentum management and orbit stationkeeping. In addition to the backup modes implemented on the spacecraft, two backup algorithms have been developed in the event of less likely contingencies. One of these is an algorithm for implementing an alternative scan pattern to MAP's nominal dual-spin science mode using only one or two reaction wheels and thrusters. Finally, an algorithm has been developed that uses thruster one shots while in science mode for momentum management. This algorithm has been developed in case system momentum builds up faster than anticipated, to allow adequate momentum management while minimizing interruptions to science. In this paper, each mode and

A Longitudinal Integration of Identity Styles and Educational Identity Processes in Adolescence

ERIC Educational Resources Information Center

Negru-Subtirica, Oana; Pop, Eleonora Ioana; Crocetti, Elisabetta

2017-01-01

Identity formation is a main adolescent psychosocial developmental task. The complex interconnection between different processes that are at the basis of one's identity is a research and applied intervention priority. In this context, the identity style model focuses on social-cognitive strategies (i.e., informational, normative, and…

Identity as a 'patchwork': aspects of identity among low-income Brazilian travestis.

PubMed

Garcia, Marcos Roberto Vieira

2009-08-01

This paper is based on findings from a qualitative study that took place within the context of a four-year healthcare programme directed towards low-income travestis in the central area of Sao Paulo, Brazil. Throughout the study the formation of social identity among travestis was investigated through a focus on four axes: gender, body, work and violence. This paper subjects the identity of the travestis to a critical analysis and proposes a view of their sense of self as a 'patchwork' assembled through the assimilation of various fragments of identity common in Brazilian society. The primary identities assimilated by the travestis under study were, in the area of femininity, the submissive woman, the puta ['whore'] and the super-seductive woman and, in the area of masculinity, the viado ['queer'], the malandro ['rascal'] and the bandido ['bandit']. The resulting travesti identity exhibited not only gender ambiguity, but also contradictions among the feminine identities described, as well as among the masculine ones.

A robust human face detection algorithm

NASA Astrophysics Data System (ADS)

Raviteja, Thaluru; Karanam, Srikrishna; Yeduguru, Dinesh Reddy V.

2012-01-01

Human face detection plays a vital role in many applications like video surveillance, managing a face image database, human computer interface among others. This paper proposes a robust algorithm for face detection in still color images that works well even in a crowded environment. The algorithm uses conjunction of skin color histogram, morphological processing and geometrical analysis for detecting human faces. To reinforce the accuracy of face detection, we further identify mouth and eye regions to establish the presence/absence of face in a particular region of interest.

QRS Detection Algorithm for Telehealth Electrocardiogram Recordings.

PubMed

Khamis, Heba; Weiss, Robert; Xie, Yang; Chang, Chan-Wei; Lovell, Nigel H; Redmond, Stephen J

2016-07-01

QRS detection algorithms are needed to analyze electrocardiogram (ECG) recordings generated in telehealth environments. However, the numerous published QRS detectors focus on clean clinical data. Here, a "UNSW" QRS detection algorithm is described that is suitable for clinical ECG and also poorer quality telehealth ECG. The UNSW algorithm generates a feature signal containing information about ECG amplitude and derivative, which is filtered according to its frequency content and an adaptive threshold is applied. The algorithm was tested on clinical and telehealth ECG and the QRS detection performance is compared to the Pan-Tompkins (PT) and Gutiérrez-Rivas (GR) algorithm. For the MIT-BIH Arrhythmia database (virtually artifact free, clinical ECG), the overall sensitivity (Se) and positive predictivity (+P) of the UNSW algorithm was >99%, which was comparable to PT and GR. When applied to the MIT-BIH noise stress test database (clinical ECG with added calibrated noise) after artifact masking, all three algorithms had overall Se >99%, and the UNSW algorithm had higher +P (98%, p < 0.05) than PT and GR. For 250 telehealth ECG records (unsupervised recordings; dry metal electrodes), the UNSW algorithm had 98% Se and 95% +P which was superior to PT (+P: p < 0.001) and GR (Se and +P: p < 0.001). This is the first study to describe a QRS detection algorithm for telehealth data and evaluate it on clinical and telehealth ECG with superior results to published algorithms. The UNSW algorithm could be used to manage increasing telehealth ECG analysis workloads.

Broken identity: the impact of the Holocaust on identity in Romanian and Polish Jews.

PubMed

Prot, Katarzyna

2008-01-01

The paper is based on interviews conducted with Holocaust survivors in Poland (30 interviews) and Romania (55 interviews). It describes how the Holocaust affected survivor identity. Two aspects of identity are analyzed the sense of personal identity and social identity. Each affects the other but they are largely independent and the trauma of the Holocaust impacted each of them differently. Personal identity seems to be unrelated to either the type of trauma or the survivor's social situation. There are no significant differences in that aspect between Polish and Romanian survivors. Social identity is more related to the survivors' social situation prior to and after the trauma. The sense of identity, both personal and social, is dynamic and changes over time.

"They're Different from Who I Am": Making Relevant Identities in the Middle through Talk-in-Interaction

ERIC Educational Resources Information Center

Mossman, Tim

2012-01-01

This qualitative study builds on earlier research on language and identity by focusing on how Canadian Generation 1.5 university students enact their identities through talk-in-interaction. Drawing on (applied) Conversational Analysis (CA) to analyze critically the production and management of social institutions in talk-in-interaction in tandem…

Pruning Rogue Taxa Improves Phylogenetic Accuracy: An Efficient Algorithm and Webservice

PubMed Central

Aberer, Andre J.; Krompass, Denis; Stamatakis, Alexandros

2013-01-01

Abstract The presence of rogue taxa (rogues) in a set of trees can frequently have a negative impact on the results of a bootstrap analysis (e.g., the overall support in consensus trees). We introduce an efficient graph-based algorithm for rogue taxon identification as well as an interactive webservice implementing this algorithm. Compared with our previous method, the new algorithm is up to 4 orders of magnitude faster, while returning qualitatively identical results. Because of this significant improvement in scalability, the new algorithm can now identify substantially more complex and compute-intensive rogue taxon constellations. On a large and diverse collection of real-world data sets, we show that our method yields better supported reduced/pruned consensus trees than any competing rogue taxon identification method. Using the parallel version of our open-source code, we successfully identified rogue taxa in a set of 100 trees with 116 334 taxa each. For simulated data sets, we show that when removing/pruning rogue taxa with our method from a tree set, we consistently obtain bootstrap consensus trees as well as maximum-likelihood trees that are topologically closer to the respective true trees. PMID:22962004

Pruning rogue taxa improves phylogenetic accuracy: an efficient algorithm and webservice.

PubMed

Aberer, Andre J; Krompass, Denis; Stamatakis, Alexandros

2013-01-01

The presence of rogue taxa (rogues) in a set of trees can frequently have a negative impact on the results of a bootstrap analysis (e.g., the overall support in consensus trees). We introduce an efficient graph-based algorithm for rogue taxon identification as well as an interactive webservice implementing this algorithm. Compared with our previous method, the new algorithm is up to 4 orders of magnitude faster, while returning qualitatively identical results. Because of this significant improvement in scalability, the new algorithm can now identify substantially more complex and compute-intensive rogue taxon constellations. On a large and diverse collection of real-world data sets, we show that our method yields better supported reduced/pruned consensus trees than any competing rogue taxon identification method. Using the parallel version of our open-source code, we successfully identified rogue taxa in a set of 100 trees with 116 334 taxa each. For simulated data sets, we show that when removing/pruning rogue taxa with our method from a tree set, we consistently obtain bootstrap consensus trees as well as maximum-likelihood trees that are topologically closer to the respective true trees.