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  1. Article ; Online: Introduction to the special issue on the HEALing Communities Study.

    El-Bassel, Nabila / Jackson, Rebecca D / Samet, Jeffrey / Walsh, Sharon L

    Drug and alcohol dependence

    2020  Volume 217, Page(s) 108327

    Abstract: ... profoundly affected by fatal opioid overdose. This special issue shares scientific advancements ...

    Abstract The severity of the overdose epidemic underscores the urgent need for innovative and high impact interventions that promote the rapid penetration and scale up of evidence-based practices (EBPs) in communities profoundly affected by fatal opioid overdose. This special issue shares scientific advancements in implementation research design and evaluation of a novel data-driven community-based intervention. The HEALing (Helping End Addiction Long-Term) Communities Study (HCS) is a four-year study that is designed to examine the effectiveness of the Communities That HEAL (CTH) intervention. The CTH intervention supports the dissemination of EBPs in 67 communities across four high-burdened states-Kentucky, Massachusetts, New York, and Ohio. The diversity in these communities in terms of rural-urban status, race-ethnicity and other social determinants of health facilitates generalizability of results to other communities across the US. The nine papers in this special issue describe critical elements that constitute the HCS framework and design. This includes the implementation of EBPs that have a substantial impact on fatal and non-fatal opioid overdose, the Opioid-overdose Reduction Continuum of Care Approach, communication campaigns to increase awareness and demand for EBPs and reduce stigma against people with OUD and MOUD interventions, and the process of community engagement. This includes how to form community coalitions and gain their commitment, and steps taken to mobilize coalitions to pursue EBP implementation and ensure EBPs are adapted for community needs. The collective papers in this issue demonstrate that the design of any complex study must adapt to unanticipated temporal events, including the rapidly emerging COVID-19 crisis. Readers will learn about the scientific process of the design and implementation of a community-engaged intervention, its methodologies, guiding conceptual models, and research implementation strategies that can be applied to address other health issues.
    MeSH term(s) Behavior Therapy/methods ; COVID-19/epidemiology ; COVID-19/psychology ; Community Health Services/methods ; Community Health Services/trends ; Drug Overdose/diagnosis ; Drug Overdose/epidemiology ; Drug Overdose/prevention & control ; Evidence-Based Practice/methods ; Evidence-Based Practice/trends ; Humans ; Substance-Related Disorders/epidemiology ; Substance-Related Disorders/psychology ; Substance-Related Disorders/therapy
    Keywords covid19
    Language English
    Publishing date 2020-10-01
    Publishing country Ireland
    Document type Introductory Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 519918-9
    ISSN 1879-0046 ; 0376-8716
    ISSN (online) 1879-0046
    ISSN 0376-8716
    DOI 10.1016/j.drugalcdep.2020.108327
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Integrative Biological Network Analysis to Identify Shared Genes in Metabolic Disorders.

    Tenekeci, Samet / Isik, Zerrin

    IEEE/ACM transactions on computational biology and bioinformatics

    2022  Volume 19, Issue 1, Page(s) 522–530

    Abstract: ... an integrative network analysis model to identify shared disease genes in metabolic syndrome (MS), type 2 ... we identified 22 shared genes for MS-CAD and T2D-CAD. Moreover, 19 out of these genes were directly or ...

    Abstract Identification of common molecular mechanisms in interrelated diseases is essential for better prognoses and targeted therapies. However, complexity of metabolic pathways makes it difficult to discover common disease genes underlying metabolic disorders; and it requires more sophisticated bioinformatics models that combine different types of biological data and computational methods. Accordingly, we built an integrative network analysis model to identify shared disease genes in metabolic syndrome (MS), type 2 diabetes (T2D), and coronary artery disease (CAD). We constructed weighted gene co-expression networks by combining gene expression, protein-protein interaction, and gene ontology data from multiple sources. For 90 different configurations of disease networks, we detected the significant modules by using MCL, SPICi, and Linkcomm graph clustering algorithms. We also performed a comparative evaluation on disease modules to determine the best method providing the highest biological validity. By overlapping the disease modules, we identified 22 shared genes for MS-CAD and T2D-CAD. Moreover, 19 out of these genes were directly or indirectly associated with relevant diseases in the previous medical studies. This study does not only demonstrate the performance of different biological data sources and computational methods in disease-gene discovery, but also offers potential insights into common genetic mechanisms of the metabolic disorders.
    MeSH term(s) Cluster Analysis ; Computational Biology ; Diabetes Mellitus, Type 2/genetics ; Gene Expression Profiling ; Gene Ontology ; Gene Regulatory Networks/genetics ; Humans
    Language English
    Publishing date 2022-02-03
    Publishing country United States
    Document type Journal Article
    ISSN 1557-9964
    ISSN (online) 1557-9964
    DOI 10.1109/TCBB.2020.2993301
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Modifications to the HEALing Communities Study in response to COVID-19 related disruptions.

    Walters, Scott T / Chandler, Redonna K / Clarke, Thomas / El-Bassel, Nabila / Glasgow, Lashawn M / Jackson, Rebecca D / Oga, Emmanuel A / Samet, Jeffrey H / Walsh, Sharon L / Zarkin, Gary A

    Drug and alcohol dependence

    2021  Volume 222, Page(s) 108669

    Language English
    Publishing date 2021-03-13
    Publishing country Ireland
    Document type Letter ; Research Support, N.I.H., Extramural
    ZDB-ID 519918-9
    ISSN 1879-0046 ; 0376-8716
    ISSN (online) 1879-0046
    ISSN 0376-8716
    DOI 10.1016/j.drugalcdep.2021.108669
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Characterizing Factors of Employment Status in Persons With Major Depressive Disorder.

    Chen, Fang-Pei / Samet, Sharon / Gorroochurn, Prakash / O'Hara, Kathleen M

    Evaluation & the health professions

    2016  Volume 39, Issue 3, Page(s) 263–281

    Abstract: Employment is fundamental to mental health recovery. The aim of this study is to construct a parsimonious profile indicating employment potential of people with major depressive disorder (MDD) to facilitate clinical assessment on employment participation. ...

    Abstract Employment is fundamental to mental health recovery. The aim of this study is to construct a parsimonious profile indicating employment potential of people with major depressive disorder (MDD) to facilitate clinical assessment on employment participation. Data were drawn from Waves 1 (2001-2002) and 2 (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions. We included participants who had MDD at Wave 1 and were interviewed in both waves (N = 2,864). We conducted Classification and Regression Tree (CART) analysis to identify key characterizing factors of Wave 2 employment among 32 Wave 1 risk and protective factors. The results show that 82.1% of those employed at Wave 1 were likely to be employed at Wave 2. Among those unemployed at Wave 1, 51% of those motivated to work, measured by work-seeking behavior in the prior year, were likely to be employed at Wave 2. Among those unemployed and motivated to work, better functional mental health was associated with employment (>25.3 vs. ≤25.3). Results highlight the importance of motivation to work, shown in active work seeking, in facilitating employment despite clinical conditions.
    Language English
    Publishing date 2016-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603792-6
    ISSN 1552-3918 ; 0163-2787
    ISSN (online) 1552-3918
    ISSN 0163-2787
    DOI 10.1177/0163278715619738
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Lack of Association Between Recent Cannabis Use and Advanced Liver Fibrosis Among HIV-positive Heavy Drinkers.

    Fuster, Daniel / So-Armah, Kaku / Cheng, Debbie M / Coleman, Sharon M / Gnatienko, Natalia / Lioznov, Dmitry / Krupitsky, Evgeny M / Freiberg, Matthew S / Samet, Jeffrey H

    Current HIV research

    2021  Volume 19, Issue 4, Page(s) 324–331

    Abstract: Aim: This study aimed to analyze the association between any past-month cannabis use and advanced liver fibrosis.: Background: Cannabinoid receptors play a role in acute and chronic liver injury, but human studies addressing the impact of cannabis ... ...

    Abstract Aim: This study aimed to analyze the association between any past-month cannabis use and advanced liver fibrosis.
    Background: Cannabinoid receptors play a role in acute and chronic liver injury, but human studies addressing the impact of cannabis use on liver fibrosis have shown mixed results.
    Objective: The objective of this study was to explore and estimate the association between pastmonth cannabis use and advanced liver fibrosis (ALF) in a cohort of Russian HIV-positive individuals with heavy alcohol use and a high prevalence of hepatitis C virus (HCV) coinfection.
    Methods: Baseline data were analyzed from participants of the ZINC study, a trial that enrolled HIV-positive Russian patients without prior antiretroviral therapy. Cannabis use during the prior month was assessed at study entry. ALF was defined as FIB-4>3.25 and APRI>1.5. Transient elastography was used to detect advanced liver fibrosis among participants with FIB-4 values in the intermediate range (between 1.45 and 3.25).
    Results: Participants (n=248) were mostly male (72.6%), young (median age of 33.9 years), infected with HCV (87.9%), and did not have advanced immunosuppression (median CD4 count 465). Cannabis use was uncommon (12.4%), and the prevalence of advanced liver disease was 21.7%. The prevalence of ALF was similar among those who used cannabis compared to those who did not (25.8% vs. 21.7%). We were unable to detect an association between cannabis use and ALF (adjusted odds ratio: 1.28, 95% confidence interval: 0.53-3.12, p=0.59) in logistic regression models adjusting for age, sex, heavy drinking, BMI, and CD4 cell count.
    Conclusion: In this exploratory study among HIV-positive heavy drinking Russians, we did not detect an association between recent cannabis use and ALF. Larger scale studies, including more participants with cannabis use, are needed to examine this relationship further.
    MeSH term(s) Adult ; Cannabis/adverse effects ; Coinfection ; Female ; HIV Infections/complications ; HIV Infections/epidemiology ; Hepatitis C ; Humans ; Liver Cirrhosis/epidemiology ; Male
    Language English
    Publishing date 2021-05-31
    Publishing country Netherlands
    Document type Clinical Trial ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2192348-6
    ISSN 1873-4251 ; 1570-162X
    ISSN (online) 1873-4251
    ISSN 1570-162X
    DOI 10.2174/1570162X19666210519151320
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: Provable Pathways

    Li, Yingcong / Oymak, Samet

    Learning Multiple Tasks over Multiple Paths

    2023  

    Abstract: ... efficient intelligent systems. A traditional idea in multitask learning (MTL) is building a shared ... of using a shared one-fits-all representation is to construct task-specific representations. To this end ...

    Abstract Constructing useful representations across a large number of tasks is a key requirement for sample-efficient intelligent systems. A traditional idea in multitask learning (MTL) is building a shared representation across tasks which can then be adapted to new tasks by tuning last layers. A desirable refinement of using a shared one-fits-all representation is to construct task-specific representations. To this end, recent PathNet/muNet architectures represent individual tasks as pathways within a larger supernet. The subnetworks induced by pathways can be viewed as task-specific representations that are composition of modules within supernet's computation graph. This work explores the pathways proposal from the lens of statistical learning: We first develop novel generalization bounds for empirical risk minimization problems learning multiple tasks over multiple paths (Multipath MTL). In conjunction, we formalize the benefits of resulting multipath representation when adapting to new downstream tasks. Our bounds are expressed in terms of Gaussian complexity, lead to tangible guarantees for the class of linear representations, and provide novel insights into the quality and benefits of a multipath representation. When computation graph is a tree, Multipath MTL hierarchically clusters the tasks and builds cluster-specific representations. We provide further discussion and experiments for hierarchical MTL and rigorously identify the conditions under which Multipath MTL is provably superior to traditional MTL approaches with shallow supernets.
    Keywords Computer Science - Machine Learning ; Statistics - Machine Learning
    Subject code 004
    Publishing date 2023-03-07
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Battery Energy Storage System Sizing, Lifetime and Techno-Economic Evaluation for Primary Frequency Control

    Umit CETİNKAYA / Ramazan BAYINDIR / Samet AYIK

    Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 10, Iss 2, Pp 177-

    A Data-driven Case Study for Turkey

    2022  Volume 194

    Abstract: The share of renewable energy sources (RES) in power systems has been increasing in recent years ...

    Abstract The share of renewable energy sources (RES) in power systems has been increasing in recent years. Future power systems will have lower inertia and difficult controllability, especially due to intermittent and variable renewable energy that is not dispatchable easily due to its fluctuating nature. Thus, it is necessary to increase the grid’s flexibility to ensure system stability. For this need, new technologies such as battery energy storage systems (BESS) are widely discussed. It is thought to be very useful to create a fast and accurate response in frequency control services with BESSs, especially in low inertia grid conditions. The sizing, charge-discharge control, and lifetime of a BESS providing frequency control service depend heavily on the changes that may occur in the power systems. So, it is a very complex issue to decide on during the investment phase. In this study, the optimum sizing, lifetime, and techno-economic evaluations of BESS providing primary frequency control (PFC) service have been made by grid's frequency data-driven. For this purpose, firstly; the BESS design providing PFC is created for Turkey’s electricity system. Secondly, with the developed algorithm, the number of charge-discharge cycles of the BESS is calculated and the lifetime and capacity fading of the BESS are determined according to the frequency deviation. Finally, economic evaluations have been made for BESS considering the investment- operating costs and PFC market prices.
    Keywords battery energy storage system (bess) ; primary frequency control (pfc) ; lifetime ; capacity fading ; cycles calculation ; techno-economic evaluation ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Science ; Q ; Science (General) ; Q1-390
    Subject code 600
    Language English
    Publishing date 2022-06-01T00:00:00Z
    Publisher Gazi University
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Mediating effect of intolerance of uncertainty in the relationship between coping styles with stress during pandemic (COVID-19) process and compulsive buying behavior.

    Çelik, Samet / Köse, Gözde Güsan

    Progress in neuro-psychopharmacology & biological psychiatry

    2021  Volume 110, Page(s) 110321

    Abstract: ... into a global source of infection for humans in that all media corporations began to repeatedly share breaking ...

    Abstract Novel CoronaVirus Disease (COVID-19) has begun to expand swiftly beyond all borders and turned into a global source of infection for humans in that all media corporations began to repeatedly share breaking news to release the latest data of all countries. The consequence of that has been a heightened level of anxiety among humans and opting for unorthodox consumption behaviors as consumers. In this study the attempt was to analyze human behaviors during the ongoing pandemic process from the perspective of psychology and marketing fields of science. In so doing, interrelation among anxiety, which surfaced because of Covid-19 pandemic, coping style with stress of individuals and compulsive purchase behavior has been explored. Based on these interrelations, a structural model was suggested. Findings of the research indicated that anxiety has high effect on the helpless approach dimension, which is one of the coping styles with stress; and that helpless approach alone has an effect on compulsive buying behavior. Besides, another objective of the study was to evaluate the mediating effect of intolerance of uncertainty between coping style with stress and compulsive buying behavior. That analysis evidenced that intolerance of uncertainty in such an interrelation had a partial mediating effect.
    MeSH term(s) Adaptation, Psychological ; Adolescent ; Adult ; Aged ; Anxiety/epidemiology ; Anxiety/etiology ; Anxiety/psychology ; COVID-19/psychology ; Compulsive Behavior/epidemiology ; Compulsive Behavior/etiology ; Compulsive Behavior/psychology ; Female ; Humans ; Income/statistics & numerical data ; Male ; Middle Aged ; Stress, Psychological/epidemiology ; Stress, Psychological/etiology ; Stress, Psychological/psychology ; Surveys and Questionnaires ; Turkey/epidemiology ; Uncertainty ; Young Adult
    Language English
    Publishing date 2021-04-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 781181-0
    ISSN 1878-4216 ; 0278-5846
    ISSN (online) 1878-4216
    ISSN 0278-5846
    DOI 10.1016/j.pnpbp.2021.110321
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Assessing the Quality and Clarity of YouTube Videos as an Informational Source for Ankle Fractures: A Study of the Turkish Population.

    Gökçeoğlu, Yaşar Samet / İncesu, Ayşe Nur / Dağ, Elif Eda / Özger, Elif Yağmur / Akgül, Turgut

    Cureus

    2024  Volume 16, Issue 3, Page(s) e55891

    Abstract: ... educational quality was suboptimal, with patient-shared videos lacking in depth and accuracy ... for notably lower educational quality in videos shared by patients. Conclusions The findings underscore ... a significant need for healthcare professionals and academic institutions in Turkey to produce and share high ...

    Abstract Background and objective The significance of YouTube as a prominent source of healthcare-related information cannot be overstated. Its influence on patient education is substantial. However, despite its popularity, there has been little research into the quality and comprehensibility of videos related to ankle fractures, a condition with increasing incidence rates, particularly in the context of Turkey. To address this gap in the literature and the growing reliance on digital platforms for health information during the coronavirus disease 2019 (COVID-19) pandemic, this study aims to assess the quality, clarity, and pedagogical value of YouTube videos on ankle fractures for the Turkish population. Methodology A comprehensive examination of 150 YouTube videos concerning ankle fractures, employing exacting inclusion and exclusion criteria to identify 52 videos for in-depth analysis was undertaken. The investigation entailed an assessment of content quality, presentation style, and user interaction, utilizing the criteria established by the Journal of the American Medical Association (JAMA) and the Patient Education Materials Assessment Tool (PEMAT), as well as a novel measurement known as the Ankle Fracture Content Score (AFCS). A statistical analysis was executed to gauge the educational value and dependability of the information presented. Results The majority of ankle fracture management videos were found to be uploaded by medical professionals, covering various aspects such as rehabilitation and patient testimonials. However, the overall educational quality was suboptimal, with patient-shared videos lacking in depth and accuracy. Statistical analysis showed no significant differences in content quality across different uploader categories, except for notably lower educational quality in videos shared by patients. Conclusions The findings underscore a significant need for healthcare professionals and academic institutions in Turkey to produce and share high-quality, reliable, and comprehensible videos on ankle fractures. Leveraging YouTube's extensive reach can significantly improve health literacy among the Turkish public, ensuring access to accurate and trustworthy health information.
    Language English
    Publishing date 2024-03-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.55891
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Data: to share or not to share?

    Samet, Jonathan M

    Epidemiology (Cambridge, Mass.)

    2009  Volume 20, Issue 2, Page(s) 172–174

    MeSH term(s) Congresses as Topic ; Epidemiologic Studies ; Information Dissemination/methods
    Language English
    Publishing date 2009-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1053263-8
    ISSN 1531-5487 ; 1044-3983
    ISSN (online) 1531-5487
    ISSN 1044-3983
    DOI 10.1097/EDE.0b013e3181930df3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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