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https://www.readbyqxmd.com/read/28821448/cognitive-impairment-and-gene-expression-alterations-in-a-rodent-model-of-binge-eating-disorder
#1
A Chawla, Z A Cordner, G Boersma, T H Moran
Binge eating disorder (BED) is defined as recurrent, distressing over-consumption of palatable food (PF) in a short time period. Clinical studies suggest that individuals with BED may have impairments in cognitive processes, executive functioning, impulse control, and decision-making, which may play a role in sustaining binge eating behavior. These clinical reports, however, are limited and often conflicting. In this study, we used a limited access rat model of binge-like behavior in order to further explore the effects of binge eating on cognition...
August 15, 2017: Physiology & Behavior
https://www.readbyqxmd.com/read/28819206/network-robustness-assessed-within-a-dual-connectivity-framework-joint-dynamics-of-the-active-and-idle-networks
#2
Alejandro Tejedor, Anthony Longjas, Ilya Zaliapin, Samuel Ambroj, Efi Foufoula-Georgiou
Network robustness against attacks has been widely studied in fields as diverse as the Internet, power grids and human societies. But current definition of robustness is only accounting for half of the story: the connectivity of the nodes unaffected by the attack. Here we propose a new framework to assess network robustness, wherein the connectivity of the affected nodes is also taken into consideration, acknowledging that it plays a crucial role in properly evaluating the overall network robustness in terms of its future recovery from the attack...
August 17, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28816684/a-multiobjective-evolutionary-algorithm-based-on-structural-and-attribute-similarities-for-community-detection-in-attributed-networks
#3
Zhangtao Li, Jing Liu, Kai Wu
Most of the existing community detection algorithms are based on vertex connectivity. While in many real networks, each vertex usually has one or more attributes describing its properties which are often homogeneous in a cluster. Such networks can be modeled as attributed graphs, whose attributes sometimes are equally important to topological structure in graph clustering. One important challenge is to detect communities considering both topological structure and vertex properties simultaneously. To this propose, a multiobjective evolutionary algorithm based on structural and attribute similarities (MOEA-SA) is first proposed to solve the attributed graph clustering problems in this paper...
August 16, 2017: IEEE Transactions on Cybernetics
https://www.readbyqxmd.com/read/28815145/evolving-research-data-sharing-networks-to-clinical-app-sharing-networks
#4
Kavishwar B Wagholikar, Rahul Jain, Eliel Oliveira, Joshua Mandel, Jeffery Klann, Ricardo Colas, Prasad Patil, Kuladip Yadav, Kenneth D Mandl, Thomas Carton, Shawn N Murphy
Research networks for data sharing are growing into a large platform for pragmatic clinical trials to generate quality evidence for shared medical decision-making. Institutions partnering in the networks have made large investments in developing the infrastructure for sharing data. We investigate whether institutions partnering on Patient-Centered Outcomes Research Institute's (PCORI) network can share clinical apps. At two different sites, we imported patient data in PCORI's clinical data model (CDM) format into i2b2 repositories, and adapted the SMART-on-FHIR cell to perform CDM-to-FHIR translation, serving demographics, laboratory results and diagnoses...
2017: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/28812541/systematic-review-of-interventions-for-treating-or-preventing-antipsychotic-induced-tardive-dyskinesia
#5
Hanna Bergman, Dawn-Marie Walker, Adriani Nikolakopoulou, Karla Soares-Weiser, Clive E Adams
BACKGROUND: Antipsychotic medication can cause tardive dyskinesia (TD) - late-onset, involuntary, repetitive movements, often involving the face and tongue. TD occurs in > 20% of adults taking antipsychotic medication (first-generation antipsychotics for > 3 months), with this proportion increasing by 5% per year among those who continue to use these drugs. The incidence of TD among those taking newer antipsychotics is not different from the rate in people who have used older-generation drugs in moderate doses...
August 2017: Health Technology Assessment: HTA
https://www.readbyqxmd.com/read/28808567/community-based-saving-groups-an-innovative-approach-to-overcome-the-financial-and-social-barriers-in-health-care-seeking-by-the-women-in-the-rural-remote-communities-of-pakistan
#6
Babar Tasneem Shaikh, Qayyum Noorani, Shazia Abbas
BACKGROUND: In remote rural areas of Pakistan, access to the maternal, newborn and child health (MNCH) care provided by a skilled health provider is quite difficult. There are many reasons such as women's restricted social mobility, lack of education, disenfranchised in decision making and poverty. To overcome these barriers and impediments in district Chitral, which is the largest territory in terms of geography in province Khyber Pakhtunkhwa, local women of reproductive age, were mobilized to form the Community Based Saving Groups (CBSGs) at the village level...
2017: Archives of Public Health, Archives Belges de Santé Publique
https://www.readbyqxmd.com/read/28808037/separate-mesocortical-and-mesolimbic-pathways-encode-effort-and-reward-learning-signals
#7
Tobias U Hauser, Eran Eldar, Raymond J Dolan
Optimal decision making mandates organisms learn the relevant features of choice options. Likewise, knowing how much effort we should expend can assume paramount importance. A mesolimbic network supports reward learning, but it is unclear whether other choice features, such as effort learning, rely on this same network. Using computational fMRI, we show parallel encoding of effort and reward prediction errors (PEs) within distinct brain regions, with effort PEs expressed in dorsomedial prefrontal cortex and reward PEs in ventral striatum...
August 14, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/28807890/vulnerable-youth-as-prosumers-in-hiv-prevention-studies-using-participatory-action-research
#8
Cath Conn, Shoba Nayar, Dinar Lubis, Carol Maibvisira, Kristel Modderman
BACKGROUND: Stigma, voicelessness, and legislative and rights barriers, coupled with top-down decision making, are the common experiences of vulnerable youth populations that limit their opportunities to participate in vital health promotion efforts such as HIV prevention. OBJECTIVE: To consider new opportunities arising from a digital society for youth to creatively shape HIV prevention. METHODS: Drawing on research with vulnerable youth in Busoga, Uganda; Bulawayo, Zimbabwe; Bangkok, Thailand; and Bali, Indonesia, we explore current youth participation, in theory and practice, while considering new opportunities arising from a digital society for youth to creatively shape HIV prevention...
August 14, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28803565/evidence-informed-decision-making-for-nutrition-african-experiences-and-way-forward
#9
Richmond Aryeetey, Michelle Holdsworth, Christine Taljaard, Waliou Amoussa Hounkpatin, Esi Colecraft, Carl Lachat, Eunice Nago, Tesfaye Hailu, Patrick Kolsteren, Roos Verstraeten
Although substantial amount of nutrition research is conducted in Africa, the research agenda is mainly donor-driven. There is a clear need for a revised research agenda in Africa which is both driven by and responding to local priorities. The present paper summarises proceedings of a symposium on how evidence can guide decision makers towards context-appropriate priorities and decisions in nutrition. The paper focuses on lessons learnt from case studies by the Evidence Informed Decision Making in Nutrition and Health Network implemented between 2015 and 2016 in Benin, Ghana and South Africa...
August 14, 2017: Proceedings of the Nutrition Society
https://www.readbyqxmd.com/read/28801245/episodic-future-thinking-and-future-based-decision-making-in-a-case-of-retrograde-amnesia
#10
Flavia De Luca, Francesca Benuzzi, Elena Bertossi, Davide Braghittoni, Giuseppe di Pellegrino, Elisa Ciaramelli
We investigated episodic future thinking (EFT) and future-based cognition and decision-making in patient SG, who developed a dense retrograde amnesia following hypoxia due to a cardiac arrest. Despite intact general cognitive and executive functioning, SG was unable to remember events from his entire lifetime. He had, however, relatively spared anterograde memory and general semantic knowledge. Voxel-based morphometry detected a reduction of gray matter in the thalamus, cerebellum and fusiform gyrus bilaterally, and, at a reduced threshold, in several regions of the autobiographical memory network, including the hippocampi...
August 9, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/28800619/-what-is-relevant-in-a-text-document-an-interpretable-machine-learning-approach
#11
Leila Arras, Franziska Horn, Grégoire Montavon, Klaus-Robert Müller, Wojciech Samek
Text documents can be described by a number of abstract concepts such as semantic category, writing style, or sentiment. Machine learning (ML) models have been trained to automatically map documents to these abstract concepts, allowing to annotate very large text collections, more than could be processed by a human in a lifetime. Besides predicting the text's category very accurately, it is also highly desirable to understand how and why the categorization process takes place. In this paper, we demonstrate that such understanding can be achieved by tracing the classification decision back to individual words using layer-wise relevance propagation (LRP), a recently developed technique for explaining predictions of complex non-linear classifiers...
2017: PloS One
https://www.readbyqxmd.com/read/28799517/imaging-biomarkers-of-anti-epileptic-drug-action-insights-from-magnetic-resonance-imaging
#12
Lorenzo Caciagli, Fenglai Xiao, Britta Wandschneider, Matthias J Koepp
BACKGROUND: Approximately one third of patients with epilepsy are refractory to medical treatment. Adverse effects associated with anti-epileptic drugs (AEDs) are considered to affect quality of life often more than seizures themselves. Neuroimaging techniques, particularly magnetic resonance imaging (MRI), have proven instrumental in clinical decision making in relation to epilepsy surgery, but may also provide further insights into the mechanisms underlying treatment response and side effects associated with AEDs...
August 9, 2017: Current Pharmaceutical Design
https://www.readbyqxmd.com/read/28799450/comparing-performance-of-methods-used-to-identify-pregnant-women-pregnancy-outcomes-and-child-mortality-in-the-iganga-mayuge-health-and-demographic-surveillance-site-uganda
#13
Daniel Kadobera, Peter Waiswa, Stefan Peterson, Hannah Blencowe, Joy Lawn, Kate Kerber, Nazarius Mbona Tumwesigye
BACKGROUND: In most low and middle-income countries vital events registration for births and child deaths is poor, with reporting of pregnancy outcomes highly inadequate or non-existent. Health and Demographic Surveillance System (HDSS) sites and periodic population-based household-level surveys can be used to identify pregnancies and retrospectively capture pregnancy outcomes to provide data for decision making. However, little is known about the performance of different methods in identifying pregnancy and pregnancy outcomes, yet this is critical in assessing improvements in reducing maternal and newborn mortality and stillbirths...
2017: Global Health Action
https://www.readbyqxmd.com/read/28798701/a-qualitative-investigation-on-patient-empowerment-in-prostate-cancer
#14
Chiara Renzi, Chiara Fioretti, Serena Oliveri, Ketti Mazzocco, Dario Zerini, Ombretta Alessandro, Damaris P Rojas, Barbara A Jereczek-Fossa, Gabriella Pravettoni
Purpose: Men with prostate cancer often describe low levels of empowerment. eHealth interventions may represent useful tools to deliver care and education and to meet patients' needs within an empowerment framework. In order to design a platform for cancer patients' empowerment within the H2020 iManageCancer project, the perspective of the target population for the platform was assessed. The present study aims to assess the qualitative experience of prostate cancer patients during treatment in order to provide insights for clinical practice with a particular focus on the design of a web platform to promote cancer patients' empowerment...
2017: Frontiers in Psychology
https://www.readbyqxmd.com/read/28795254/an-efficient-method-for-kidney-allocation-problem-a-credibility-based-fuzzy-common-weights-data-envelopment-analysis-approach
#15
Sahar Ahmadvand, Mir Saman Pishvaee
Given the perennial imbalance and chronic scarcity between the demand for and supply of available organs, organ allocation is one of the most critical decisions in the management of organ transplantation networks. Organ allocation systems undergo rapid revisions for the sake of improved outcomes in terms of both equity and medical efficiency. This paper presents a Data Envelopment Analysis (DEA)-based model to evaluate the efficiency of possible patient-organ pairs for kidney allocation in order to enhance the fitness of organ allocation under inherent uncertainty in such problem...
August 9, 2017: Health Care Management Science
https://www.readbyqxmd.com/read/28792503/multi-scale-encoding-of-amino-acid-sequences-for-predicting-protein-interactions-using-gradient-boosting-decision-tree
#16
Chang Zhou, Hua Yu, Yijie Ding, Fei Guo, Xiu-Jun Gong
Nowadays a number of computational approaches have been developed to effectively and accurately predict protein interactions. However, most of these methods typically perform worse when other biological data sources (e.g., protein structure information, protein domains, or gene neighborhoods information) are not available. In the present work, we propose a method for predicting protein interactions making full use of physicochemical characteristics of amino acids. A protein sequence is encoded at multi-scale by seven properties, including their qualitative and quantitative descriptions, of amino acids...
2017: PloS One
https://www.readbyqxmd.com/read/28791140/individual-level-movement-bias-leads-to-the-formation-of-higher-order-social-structure-in-a-mobile-group-of-baboons
#17
Tyler R Bonnell, Parry M Clarke, S Peter Henzi, Louise Barrett
In mobile social groups, influence patterns driving group movement can vary between democratic and despotic. The arrival at any single pattern of influence is thought to be underpinned by both environmental factors and group composition. To identify the specific patterns of influence driving travel decision-making in a chacma baboon troop, we used spatially explicit data to extract patterns of individual movement bias. We scaled these estimates of individual-level bias to the level of the group by constructing an influence network and assessing its emergent structural properties...
July 2017: Royal Society Open Science
https://www.readbyqxmd.com/read/28790900/maladaptive-decision-making-in-adults-with-a-history-of-adolescent-alcohol-use-in-a-preclinical-model-is-attributable-to-the-compromised-assignment-of-incentive-value-during-stimulus-reward-learning
#18
Lauren C Kruse, Abigail G Schindler, Rapheal G Williams, Sophia J Weber, Jeremy J Clark
According to recent WHO reports, alcohol remains the number one substance used and abused by adolescents, despite public health efforts to curb its use. Adolescence is a critical period of biological maturation where brain development, particularly the mesocorticolimbic dopamine system, undergoes substantial remodeling. These circuits are implicated in complex decision making, incentive learning and reinforcement during substance use and abuse. An appealing theoretical approach has been to suggest that alcohol alters the normal development of these processes to promote deficits in reinforcement learning and decision making, which together make individuals vulnerable to developing substance use disorders in adulthood...
2017: Frontiers in Behavioral Neuroscience
https://www.readbyqxmd.com/read/28783497/incorporating-model-uncertainty-into-the-evaluation-of-interventions-to-reduce-microcontaminant-loads-in-rivers
#19
P Gimeno, R Marcé, Ll Bosch, J Comas, Ll Corominas
Models of microcontaminant fate and transport in wastewater treatment plants (WWTPs) and rivers have been developed and used to assist decision-making in the field of water management. These models come with parameter uncertainties that must be properly incorporated in the decision-making process. The main goal of this study is to evaluate how the magnitudes of key model parameter uncertainties influence the selection of end-of-pipe interventions (at WWTPs) designed to reduce the microcontaminant loads in rivers...
July 17, 2017: Water Research
https://www.readbyqxmd.com/read/28779940/choices-between-chinese-and-western-medicine-in-hong-kong-interactions-of-institutional-environment-health-beliefs-and-treatment-outcomes
#20
Kai Sing Sun, Yeung Hung Cheng, Yuk Tsan Wun, Tai Pong Lam
BACKGROUND: About 15-20% of the general public in Hong Kong consult TCM practitioners. This study explored the decision making process involved in Hong Kong Chinese's choice between TCM and western medicine. METHODS: Eight focus group interviews (six to eight participants per group) and four individual interviews were conducted. RESULTS: The participants kept an "old fashioned" concept of TCM. Many saw TCM as a non-scientific practice and had stronger trust on the credibility of western medicine...
August 2017: Complementary Therapies in Clinical Practice
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