Professional Activity of a University Teacher: Personal Values and Temporal Perception by N. B. Moskvina, B. E. Fishman

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Psychological Status in Medical Isolation Persons during Outbreak of COVID-19 by Renqi DONG, Xia ZHOU, Xiaonan JIAO, Bingshan GUO, Liping SUN, Qin WANG

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ASSESSING THE ECONOMIC IMPACT OF TERRORISM ON INTERNALLY DISPLACED PERSONS (IDPS) IN NIGERIA by ``ABDULHAMEED KUNLE ALABA, ELIJAH BABASOLA AFOLABI AGBAJE

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Family and Personal Adjustment of Economically Disadvantaged Chinese Adolescents in Hong Kong by Daniel T. L. Shek, Pik Fong Tsui

“…This study attempted to examine the relationship between poverty and adolescent developmental outcomes in the family and personal domains in 3,328 Chinese secondary school students in Hong Kong. …”
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Accessibility and Referential Choice: Personal Pronouns and D-pronouns in Written German by Yvonne Portele, Markus Bader

“…We present a corpus study and a production experiment that investigated the choice between two types of pronouns in written German – personal pronouns and so-called d-pronouns, which have properties of both personal and demonstrative pronouns. …”
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Personal glucose meter-based portable method for creatine kinase assay by Jinhwan Lee, Yejin Oh, Hyoyong Kim, Sangmo Lee, Hyun Gyu Park

Subjects: “…Personal glucose meter…”
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USING ECONOMETRICS TO UNDERSTAND INCLUSION OF PERSONS WITH DISABILITIES IN THE WORKFORCE OF BOSNIA AND HERZEGOVINA by Ensar Šehić, Elman Šatrović, Seid Fijuljanin

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Towards personalized cardiometabolic risk prediction: A fusion of exposome and AI by Zeinab Shahbazi, Slawomir Nowaczyk

“…However, integrating diverse exposome factors into predictive models for personalized health assessments remains a challenge due to the complexity and variability of environmental exposures and lifestyle factors. …”
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A Data Quality Control Program for Computer-Assisted Personal Interviews by Janet E. Squires, Alison M. Hutchinson, Anne-Marie Bostrom, Kelly Deis, Peter G. Norton, Greta G. Cummings, Carole A. Estabrooks

“…We utilize data collected annually for two years from computer-assisted personal interviews with 3004 healthcare aides. Data quality was assessed using both survey and process data. …”
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Mechanisms for Activating the Personal Potential of Students in the Context of Digitalization of University Education by E. N. Shutenko, A. I. Shutenko

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Personalized requirements oriented trustworthy services recommendation based on social network by Pei-yun ZHANG, En-hong CHEN, Bo HUANG

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Media coverage of internally displaced persons in two selected newspapers in Nigeria by Eric Msughter Aondover, Abdulrahman Uba Daushe, Omotola Ogunbola, Perpetua Ogechi Aondover

“…The selected newspapers cover internally displaced persons more in the inside page than the front and back pages. …”
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FORMATION OF THE NEW WORLD VIEW, NEW PERSON, NEW SOCIETY OF THE FUTURE by Valentina A. Voronkova

“…The meaning of the individual in society - to be useful to society and to the person, to be a master, to live in harmony with people and nature. …”
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A person-organization fit Model of Generation Z: Preliminary studies by Magdalena Graczyk-Kucharska, G. Scott Erickson

“…The study looks at developing a person-organization fit model based on the unique characteristics of the new generational cohort, Generation Z, now entering the workforce. …”
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One in a Million: A Case Report of Stiff Person Syndrome by Ruchi Yadav, Neeraj Abrol, Sima Terebelo

“…Stiff person syndrome (SPS) is a rare autoimmune disease caused by lack of inhibition to excitatory neurotransmitters in the central nervous system (CNS) leading to inappropriate motor unit firing. …”
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Equipo de Protección Personal para la Manipulación de Pesticidas by Frederick M. Fishel

“…PI243/PI243: Equipo de Protección Personal para la Manipulación de Pesticidas (ufl.edu) …”
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ROUTE FIRST-CLUSTER SECOND METHOD FOR PERSONAL SERVICE ROUTING PROBLEM by MELİKE KÜBRA EKİZ, MUHAMMET BOZDEMİR, BURCU ÖZCAN TÜRKKAN

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THE IMPACT OF PERSONAL GROWTH AND HOLISTIC THINKING ON PRICE-PERCEIVED QUALITY HEURISTIC by Hüseyin Erbil Özyörük, Bahtışen Kavak

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Personalized lightweight distributed network intrusion detection system in fog computing by Tianpeng YE, Xiang LIN, Jianhua LI, Xuankai ZHANG, Liwen XU

“…With the continuous development of Internet of Things (IoT) technology, there is a constant emergency of new IoT applications with low latency, high dynamics, and large bandwidth requirements.This has led to the widespread aggregation of massive devices and information at the network edge, promoting the emergence and deep development of fog computing architecture.However, with the widespread and in-depth application of fog computing architecture, the distributed network security architecture deployed to ensure its security is facing critical challenges brought by fog computing itself, such as the limitations of fog computing node computing and network communication resources, and the high dynamics of fog computing applications, which limit the edge deployment of complex network intrusion detection algorithms.To effectively solve the above problems, a personalized lightweight distributed network intrusion detection system (PLD-NIDS) was proposed based on the fog computing architecture.A large-scale complex network flow intrusion detection model was trained based on the convolutional neural network architecture, and furthermore the network traffic type distribution of each fog computing node was collected.The personalized model distillation algorithm and the weighted first-order Taylor approximation pruning algorithm were proposed to quickly compress the complex model, breaking through the limitation of traditional model compression algorithms that can only provide single compressed models for edge node deployment due to the high compression calculation overhead when facing a large number of personalized nodes.According to experimental results, the proposed PLD-NIDS architecture can achieve fast personalized compression of edge intrusion detection models.Compared with traditional model pruning algorithms, the proposed architecture achieves a good balance between computational loss and model accuracy.In terms of model accuracy, the proposed weighted first-order Taylor approximation pruning algorithm can achieve about 4% model compression ratio improvement under the same 0.2% model accuracy loss condition compared with the traditional first-order Taylor approximation pruning algorithm.…”
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Stakeholders' perceptions of personal health data sharing: A scoping review. by Prima Alam, Ana Bolio, Leesa Lin, Heidi J Larson

“…The rapid advancement of digital health technologies has heightened demand for health data for secondary uses, highlighting the importance of understanding global perspectives on personal information sharing. This article examines stakeholder perceptions and attitudes toward the use of personal health data to improve personalized treatments, interventions, and research. …”
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