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Implementing and Evaluating a National Integrated Digital Registry and Clinical Decision Support System in Early Intervention in Psychosis Services (Early Psychosis Informatics Into Care): Co-Designed Protocol

Siân Lowri Griffiths, Graham K Murray, Yanakan Logeswaran, John Ainsworth et al. • JMIR Research Protocols (2024)

BackgroundEarly intervention in psychosis (EIP) services are nationally mandated in England to provide multidisciplinary care to people experiencing first-episode psychosis, which disproportionately affects deprived and ethnic minority yout...

DOAJ Open Access (DOAJ) DOI: 10.2196/50177

Dataset on perception of public college students on underage drinking in Nigeria

Olujide A. Adekeye, Emmanuel O. Amoo, Sussan O. Adeusi, Olufunke O. Chenube et al. • Data in Brief (2019)

Alcohol is the most widely used substance of abuse among youths in Nigeria. Underage drinking poses a serious public health problem in most colleges and despite the health and safety risk, consumption of alcohol is rising. Having recourse t...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2019.103930

Grey matter volume associations with personality functioning in a clinical cohort of female youths

Madelyn Thomson, Marialuisa Cavelti, Ines Mürner-Lavanchy, Silvano Sele et al. • NeuroImage: Clinical (2026)

Borderline Personality Disorder (BPD) is a severe mental illness, although its neurobiological underpinnings remain largely unknown. Structural Magnetic Resonance Imaging (sMRI) in adolescents can offer insights into potential biomarkers to...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2026.103988

Contributions of childhood abuse and neglect to reward neural substrates in adolescence

Ruiyu Yang, Qiongru Yu, Cassidy Elizabeth Owen, Gabriele Ibarra Aspe et al. • NeuroImage: Clinical (2021)

Background: Childhood adverse experiences may come to bear particularly during adolescence, when neural reward systems are developing rapidly and psychopathology spikes. Despite prior work differentiating threat- (abuse) vs. deprivation- (n...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2021.102832

Sex-specific frontal-striatal connectivity differences among adolescents with externalizing disorders

Ya Chai, José R. Chimelis-Santiago, Kristy A. Bixler, Matthew Aalsma et al. • NeuroImage: Clinical (2021)

Background: Sex-specific neurobiological underpinnings of impulsivity in youth with externalizing disorders have not been well studied. The only report of functional connectivity (FC) findings in this area demonstrated sex differences in fr...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2021.102789

Humanitarian diplomacy and the countries of the Global South: Trends and discourses

D. A. Kuznetsov, V. A. Dmitrieva • Вестник Московского Университета. Серия XXV: Международные отношения и мировая политика (2024)

In recent years, discussions about the essence of humanitarization and humanization of international relations have intensified due to the aggravation of economic, social, and ethical problems against the background of a sharp deterioration...

DOAJ Open Access (DOAJ) DOI: 10.48015/2076-7404-2024-16-2-89-124

Generation X, Y and Z values in Ukraine

Nagorniak K. M. • Український соціум (2020)

The paper presents findings of a survey into values of different generations conducted by Academy DTEK jointly with hh.ua|grc During two months of 2019 we polled 2,182 visitors of the Ukrainian Job portal hh.ua|grc (both job seekers and emp...

DOAJ Open Access (DOAJ) DOI: 10.15407/socium2020.02.110

Model of cultivating patriotism in adolescents and "generation Z" youth using the resource of juvenile media

Kosolapova, Larisa Alexandrovna, Myasnikova, Diana Igorevna • Известия Саратовского университета. Новая серия: Серия Философия. Психология. Педагогика (2022)

Introduction. The conducted research is aimed at identifying the methodological foundations, content, methods and mechanisms for organizing the patriotic education in adolescents and "Z generation" youth. The article defines the essential c...

DOAJ Open Access (DOAJ) DOI: 10.18500/1819-7671-2022-22-3-339-344

Support for mask use as a COVID-19 public health measure among a large sample of Canadian secondary school students

Karen A. Patte, Terrance J. Wade, Adam J. MacNeil, Richard E. Bélanger et al. • BMC Public Health (2022)

Abstract Background Youth voice has been largely absent from deliberations regarding public health measures intended to prevent SARS-CoV-2 transmission, despite being one of the populations most impacted by school-based policies. To inform ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12889-022-14011-0

Public Health Communication

• Routledge eBooks (2002)

Contents: Preface. Introduction. R. Hornik, Public Health Communication: Making Sense of Contradictory Evidence. Part I: Deliberate Trials. J.K. Worden, B.S. Flynn, Using Mass Media to Prevent Cigarette Smoking. P. Palmgreen, L. Donohew, E....

OPENALEX DOI: https://doi.org/10.4324/9781410603029

Physical Education's Role in Public Health

James F. Sallis, Thomas L. McKenzie • Research Quarterly for Exercise and Sport (1991)

The public health community is becoming increasingly interested in the potential contributions of school physical education to child health. School physical education is seen as an ideal site for the promotion of regular physical activity b...

OPENALEX DOI: https://doi.org/10.1080/02701367.1991.10608701

Toward a Fit-for-purpose Policy Architecture on Long-term Care in Sub-Saharan Africa: Impasse and a Research Agenda to Overcome it

Isabella Aboderin • Journal of Long-Term Care (2019)

Context: Perspectives from sub-Saharan Africa (SSA) have featured little in the expanding global debate on long-term care (LTC) policy thus far – despite SSA countries’ embrace of global commitments on the development of equitable and susta...

DOAJ Open Access (DOAJ) DOI: 10.31389/jltc.5

Overview of deep learning

Xuedan Du, Yinghao Cai, Shuo Wang, Leijie Zhang • Youth Academic Annual Conference of Chinese Association of Automation (YAC) (2016)

In recent years, deep learning has achieved great success in many fields, such as computer vision and natural language processing. Compared to traditional machine learning methods, deep learning has a strong learning ability and can make be...

OPENALEX DOI: https://doi.org/10.1109/yac.2016.7804882

Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques

Simran Saggu, Hirad Daneshvar, Reza Samavi, Paulo Pires et al. • BMC Medical Informatics and Decision Making (2024)

Abstract Background The proportion of Canadian youth seeking mental health support from an emergency department (ED) has risen in recent years. As EDs typically address urgent mental health crises, revisiting an ED may represent unmet menta...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-024-02450-1

Teens, Tech, and Talk: Adolescents’ Use of and Emotional Reactions to Snapchat’s My AI Chatbot

Gaëlle Vanhoffelen, Laura Vandenbosch, Lara Schreurs • Behavioral Sciences (2025)

Due to technological advancements such as generative artificial intelligence (AI) and large language models, chatbots enable increasingly human-like, real-time conversations through text (e.g., OpenAI’s ChatGPT) and voice (e.g., Amazon’s Al...

DOAJ Open Access (DOAJ) DOI: 10.3390/bs15081037