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https://www.readbyqxmd.com/read/29119693/the-neural-representation-of-social-status-in-the-extended-face-processing-network
#1
Jessica E Koski, Jessica A Collins, Ingrid R Olson
Social status is a salient cue that shapes our judgment and memory for other people and ultimately guides our social interactions. Despite the pervasive influence of status on social behavior, how information about the status of others is represented in the brain remains unclear. Here, we tested the hypothesis that social-status information is embedded in our neural representations of other individuals. Participants learned to associate faces with names, job titles that that varied in associated status, and explicit markers of reputational status (star ratings)...
November 9, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/29084280/maximum-entropy-methods-for-extracting-the-learned-features-of-deep-neural-networks
#2
Alex Finnegan, Jun S Song
New architectures of multilayer artificial neural networks and new methods for training them are rapidly revolutionizing the application of machine learning in diverse fields, including business, social science, physical sciences, and biology. Interpreting deep neural networks, however, currently remains elusive, and a critical challenge lies in understanding which meaningful features a network is actually learning. We present a general method for interpreting deep neural networks and extracting network-learned features from input data...
October 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/29067872/selective-neural-sensitivity-to-familial-threat-in-adolescents-with-weak-family-bonds
#3
Paul B Sharp, Wendy Heller, Eva H Telzer
Familial stressors, such as weak familial connectedness, are associated with the development of maladaptive threat processing, yet little is known regarding how weak familial bonds impinge on biological mechanisms of threat processing. The present study leveraged multivoxel pattern analysis of fMRI data to compare the neural encoding of familial and nonfamilial threatening and non-threatening stimuli in adolescents who endorsed varying levels of connectedness to their families. Adolescents (N=22, Mage= 14.38 years) reporting lower family connectedness one year earlier showed elevated sensitivity to familial threat, but not to nonfamilial threat in a neural network associated with threat processing, comprising left and right amygdala, and right inferior and middle temporal gyri...
October 25, 2017: Social Neuroscience
https://www.readbyqxmd.com/read/29061891/the-conceptual-foundations-of-network-based-diffusion-analysis-choosing-networks-and-interpreting-results
#4
Will Hoppitt
Network-based diffusion analysis (NBDA) is a statistical technique for detecting the social transmission of behavioural innovations in groups of animals, including humans. The strength of social transmission is inferred from the extent to which the diffusion (spread) of the innovation follows a social network. NBDA can have two goals: (a) to establish whether social transmission is occurring and how strong its effects are; and/or (b) to establish the typical pathways of information transfer. The technique has been used in a range of taxa, including primates, cetaceans, birds and fish, using a range of different types of network...
December 5, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/29052021/a-new-approach-to-predict-user-mobility-using-semantic-analysis-and-machine-learning
#5
Roshan Fernandes, Rio D'Souza G L
Mobility prediction is a technique in which the future location of a user is identified in a given network. Mobility prediction provides solutions to many day-to-day life problems. It helps in seamless handovers in wireless networks to provide better location based services and to recalculate paths in Mobile Ad hoc Networks (MANET). In the present study, a framework is presented which predicts user mobility in presence and absence of mobility history. Naïve Bayesian classification algorithm and Markov Model are used to predict user future location when user mobility history is available...
October 19, 2017: Journal of Medical Systems
https://www.readbyqxmd.com/read/29017620/familial-aggregation-of-matrics-consensus-cognitive-battery-scores-in-a-large-sample-of-outpatients-with-schizophrenia-and-their-unaffected-relatives
#6
A Mucci, S Galderisi, M F Green, K Nuechterlein, P Rucci, D Gibertoni, A Rossi, P Rocca, A Bertolino, P Bucci, G Hellemann, M Spisto, D Palumbo, E Aguglia, G Amodeo, M Amore, A Bellomo, R Brugnoli, B Carpiniello, L Dell'Osso, F Di Fabio, M di Giannantonio, G Di Lorenzo, C Marchesi, P Monteleone, C Montemagni, L Oldani, R Romano, R Roncone, P Stratta, E Tenconi, A Vita, P Zeppegno, M Maj
BACKGROUND: The increased use of the MATRICS Consensus Cognitive Battery (MCCB) to investigate cognitive dysfunctions in schizophrenia fostered interest in its sensitivity in the context of family studies. As various measures of the same cognitive domains may have different power to distinguish between unaffected relatives of patients and controls, the relative sensitivity of MCCB tests for relative-control differences has to be established. We compared MCCB scores of 852 outpatients with schizophrenia (SCZ) with those of 342 unaffected relatives (REL) and a normative Italian sample of 774 healthy subjects (HCS)...
October 11, 2017: Psychological Medicine
https://www.readbyqxmd.com/read/28989752/cultural-investment-and-urban-socio-economic-development-a-geosocial-network-approach
#7
Xiao Zhou, Desislava Hristova, Anastasios Noulas, Cecilia Mascolo, Max Sklar
Being able to assess the impact of government-led investment onto socio-economic indicators in cities has long been an important target of urban planning. However, owing to the lack of large-scale data with a fine spatio-temporal resolution, there have been limitations in terms of how planners can track the impact and measure the effectiveness of cultural investment in small urban areas. Taking advantage of nearly 4 million transition records for 3 years in London from a popular location-based social network service, Foursquare, we study how the socio-economic impact of government cultural expenditure can be detected and predicted...
September 2017: Royal Society Open Science
https://www.readbyqxmd.com/read/28968847/multidimensional-neuroanatomical-subtyping-of-autism-spectrum-disorder
#8
Seok-Jun Hong, Sofie L Valk, Adriana Di Martino, Michael P Milham, Boris C Bernhardt
Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders with multiple biological etiologies and highly variable symptoms. Using a novel analytical framework that integrates cortex-wide MRI markers of vertical (i.e., thickness, tissue contrast) and horizontal (i.e., surface area, geodesic distance) cortical organization, we could show that a large multi-centric cohort of individuals with ASD falls into 3 distinctive anatomical subtypes (ASD-I: cortical thickening, increased surface area, tissue blurring; ASD-II: cortical thinning, decreased distance; ASD-III: increased distance)...
September 14, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28947389/experience-of-clandestine-use-of-medical-abortion-among-university-students-in-chile-a-qualitative-study
#9
Irma Palma Manríquez, Claudia Moreno Standen, Andrea Álvarez Carimoney, Alondra Richards
OBJECTIVES: o explore the ways in which medical abortion pills are obtained and used by university students in Chile in a clandestine context. STUDY DESIGN: Using a qualitative approach, we conducted in-depth interviews with 30 young women who had had a medical abortion between 2006 and 2016 while attending university. We recorded the details of their pathways to abortion and their experience of abortion, and how they used networks in the university to find the pills and learn how to use them...
September 22, 2017: Contraception
https://www.readbyqxmd.com/read/28931014/phonological-memory-in-sign-language-relies-on-the-visuomotor-neural-system-outside-the-left-hemisphere-language-network
#10
Yuji Kanazawa, Kimihiro Nakamura, Toru Ishii, Toshihiko Aso, Hiroshi Yamazaki, Koichi Omori
Sign language is an essential medium for everyday social interaction for deaf people and plays a critical role in verbal learning. In particular, language development in those people should heavily rely on the verbal short-term memory (STM) via sign language. Most previous studies compared neural activations during signed language processing in deaf signers and those during spoken language processing in hearing speakers. For sign language users, it thus remains unclear how visuospatial inputs are converted into the verbal STM operating in the left-hemisphere language network...
2017: PloS One
https://www.readbyqxmd.com/read/28926778/korean-immigrants-don-t-buy-health-insurance-the-influences-of-culture-on-self-employed-korean-immigrants-focusing-on-structure-and-functions-of-social-networks
#11
Hyunsung Oh, Chung Hyeon Jeong
Culture has been pinpointed as a culprit of disparities in health insurance coverage between Korean immigrants and other ethnic groups. This study explored specific mechanisms by which culture influences a decision to buy health insurance among self-employed Korean immigrants living in ethnic enclaves by focusing on the structure and functions of social networks. Between March and June 2015, we recruited 24 Korean immigrant adults (aged 18 or older) who identified as self-employed and being uninsured for substantial periods before 2014 in Southern California...
September 12, 2017: Social Science & Medicine
https://www.readbyqxmd.com/read/28891109/strengthening-community-mental-health-competence-a-realist-informed-case-study-from-dehradun-north-india
#12
Kaaren Mathias, Jeph Mathias, Isabel Goicolea, Michelle Kermode
Few accounts exist of programmes in low- and middle-income countries seeking to strengthen community knowledge and skills in mental health. This case study uses a realist lens to explore how a mental health project in a context with few mental health services, strengthened community mental health competence by increasing community knowledge, creating safer social spaces and engaging partnerships for action. We used predominantly qualitative methods to explore relationships between context, interventions, mechanisms and outcomes in the "natural setting" of a community-based mental health project in Dehradun district, Uttarakhand, North India...
September 11, 2017: Health & Social Care in the Community
https://www.readbyqxmd.com/read/28889104/machine-learning-analysis-identifies-drosophila-grunge-atrophin-as-an-important-learning-and-memory-gene-required-for-memory-retention-and-social-learning
#13
Balint Z Kacsoh, Casey S Greene, Giovanni Bosco
High-throughput experiments are becoming increasingly common, and scientists must balance hypothesis-driven experiments with genome-wide data acquisition. We sought to predict novel genes involved in Drosophila learning and long-term memory from existing public high-throughput data. We performed an analysis using PILGRM, which analyzes public gene expression compendia using machine learning. We evaluated the top prediction alongside genes involved in learning and memory in IMP, an interface for functional relationship networks...
November 6, 2017: G3: Genes—Genomes—Genetics
https://www.readbyqxmd.com/read/28878997/social-learning-in-otters
#14
Zosia Ladds, William Hoppitt, Neeltje J Boogert
The use of information provided by others to tackle life's challenges is widespread, but should not be employed indiscriminately if it is to be adaptive. Evidence is accumulating that animals are indeed selective and adopt 'social learning strategies'. However, studies have generally focused on fish, bird and primate species. Here we extend research on social learning strategies to a taxonomic group that has been neglected until now: otters (subfamily Lutrinae). We collected social association data on captive groups of two gregarious species: smooth-coated otters (Lutrogale perspicillata), known to hunt fish cooperatively in the wild, and Asian short-clawed otters (Aonyx cinereus), which feed individually on prey requiring extractive foraging behaviours...
August 2017: Royal Society Open Science
https://www.readbyqxmd.com/read/28876450/what-has-become-of-critique-reassembling-sociology-after-latour
#15
Tom Mills
This paper offers a defence of sociology through an engagement with Actor Network Theory (ANT) and particularly the critique of 'critical' and politically engaged social science developed by Bruno Latour. It argues that ANT identifies some weaknesses in more conventional sociology and social theory, and suggests that 'critical' and 'public' orientated sociologists can learn from the analytical precision and ethnographic sensibilities that characterize ANT as a framework of analysis and a research programme...
September 6, 2017: British Journal of Sociology
https://www.readbyqxmd.com/read/28854930/sex-workers-as-peer-health-advocates-community-empowerment-and-transformative-learning-through-a-canadian-pilot-program
#16
Cecilia Benoit, Lynne Belle-Isle, Michaela Smith, Rachel Phillips, Leah Shumka, Chris Atchison, Mikael Jansson, Charlotte Loppie, Jackson Flagg
BACKGROUND: Social marginalization and criminalization create health and safety risks for sex workers and reduce their access to health promotion and prevention services compared to the general population. Community empowerment-based interventions that prioritize the engagement of sex workers show promising results. Peer-to-peer interventions, wherein sex workers act as educators of their colleagues, managers, clients and romantic partners, foster community mobilization and critical consciousness among sex workers and equip them to exercise agency in their work and personal lives...
August 30, 2017: International Journal for Equity in Health
https://www.readbyqxmd.com/read/28834849/a-review-of-digital-social-and-mobile-technologies-in-health-professional-education
#17
Vernon Curran, Lauren Matthews, Lisa Fleet, Karla Simmons, Diana L Gustafson, Lyle Wetsch
INTRODUCTION: Digital, social, and mobile technologies (DSMTs) can support a wide range of self-directed learning activities, providing learners with diverse resources, information, and ways to network that support their learning needs. DSMTs are increasingly used to facilitate learning across the continuum of health professional education (HPE). Given the diverse characteristics of DSMTs and the formal, informal, and nonformal nature of health professional learning, a review of the literature on DSMTs and HPE could inform more effective adoption and usage by regulatory organizations, educators, and learners...
July 2017: Journal of Continuing Education in the Health Professions
https://www.readbyqxmd.com/read/28818075/perspectives-of-basic-wheelchair-users-on-improving-their-access-to-wheelchair-services-in-kenya-and-philippines-a-qualitative-study
#18
Emma Williams, Elizabeth Hurwitz, Immaculate Obaga, Brenda Onguti, Adovich Rivera, Tyrone Reden L Sy, R Lee Kirby, Jamie Noon, Deepti Tanuku, Anthony Gichangi, Eva Bazant
BACKGROUND: The United Nations has called for countries to improve access to mobility devices when needed. The World Health Organization has published guidelines on the provision of manual wheelchairs in less-resourced settings. Yet little is known about the extent to which appropriate wheelchairs are available and provided according to international guidelines. This study's purpose was to describe wheelchair users' experiences receiving services and acquiring wheelchair skills in urban and peri-urban areas of Kenya and the Philippines...
August 17, 2017: BMC International Health and Human Rights
https://www.readbyqxmd.com/read/28729114/altered-intrinsic-functional-connectivity-in-the-latent-period-of-epileptogenesis-in-a-temporal-lobe-epilepsy-model
#19
Hyoin Lee, Seungmoon Jung, Peter Lee, Yong Jeong
The latent period, a seizure-free phase, is the duration between brain injury and the onset of spontaneous recurrent seizures (SRSs) during epileptogenesis. The latent period is thought to involve several progressive pathophysiological events that lead to the evolution of the chronic epilepsy phase. Hence, it is vital to investigate the changes in the latent period during epileptogenesis in order to better understand temporal lobe epilepsy (TLE), and to achieve early diagnosis and appropriate management of the condition...
October 2017: Experimental Neurology
https://www.readbyqxmd.com/read/28708848/predicting-all-cause-risk-of-30-day-hospital-readmission-using-artificial-neural-networks
#20
Mehdi Jamei, Aleksandr Nisnevich, Everett Wetchler, Sylvia Sudat, Eric Liu
Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients. Large scale adoption of Electronic Health Records (EHR) has created the opportunity to proactively identify patients with high risk of hospital readmission, and apply effective interventions to mitigate that risk. To that end, in the past, numerous machine-learning models have been employed to predict the risk of 30-day hospital readmission. However, the need for an accurate and real-time predictive model, suitable for hospital setting applications still exists...
2017: PloS One
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