Lay persons in catechesis. Experience and challenges in the case of Slovenia by Tadej Stegu

“…It highlights the main trends and challenges in catechesis and some of the existing solutions that no longer look only at the age of candidates but take into account their maturity and readiness when preparing to receive the sacraments of initiation. The analytical research is further illuminated by the author’s personal experience as a layperson involved in catechesis. …”
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Personalization of thiopurine therapy: Current recommendations and future perspectives by Urbančič Dunja, Pasha Flaka, Šmid Alenka, Mlinarič-Raščan Irena

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Strategies to Increase Personal Resilience in Disaster Response Efforts by Amanda D. Ali, Angela Lindsey, Amy Harder, Lisa Lundy, T. Grady Roberts

“…A basic qualitative research design explored UF/IFAS Extension agents’ hurricane experiences. …”
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Strategies to Increase Personal Resilience in Disaster Response Efforts by Amanda D. Ali, Angela Lindsey, Amy Harder, Lisa Lundy, T. Grady Roberts

“…A basic qualitative research design explored UF/IFAS Extension agents’ hurricane experiences. …”
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"The personal is political": faith and religion in a public university by Isabel Apawo Phiri, Sarojini Nadar

“…Drawing on empirical research with religious women who experience gender-based violence in various forms, the authors argue that when religious beliefs are put into practice without critical introspection, religion becomes dangerous at both the personal and public levels. …”
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Personal or group motivation: which tool is more efficient by G. N. Ryazanova

“…The author reveals the characteristics of the personalities of the collective subgroups on a psycho-emotional basis using the R. …”
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Personalized recommendation model with multi-level latent features by Qing SHEN, Wenbin GUO, Jungang LOU, Qiangguo YU

“…Personalized recommendation has become one of the most effective means to solve information overload, and it is also a hot technology in the research field of massive data mining.However, traditional recommendation algorithms often only use the user’s rating information on the item, and lack a comprehensive consideration of the potential characteristics of the user and the item.The factorization machine, wide neural network, crossover network and deep neural network were combined to extract the shallow latent features, low-order nonlinear latent features, linear cross latent features, and high-order nonlinear latent features of users and items.Thus, a new deep learning personalized recommendation model with multilevel latent features was established.The experimental results on four commonly used data sets show that considering the multi-level potential features of users and items can effectively improve the prediction accuracy of personalized recommendations.Finally, the influence of factors such as the dimensions of the embedding layer and the number of neurons on the prediction performance of the new model was studied.…”
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Exploring corporate reputation variables to measure personal reputations by De la Rey Van der Waldt

“…The research problem is concerned with the fact that personal reputations are not studied with the same intensity as corporate reputations are. …”
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Evaluation of in person learning during the pandemic covid-19 by Mohzana Mohzana, Muh. Fahrurrozi, Hartini Hartini

“…The purpose of this research is to see the availability of sanitation and hygiene facilities, be able to access health service facilities, readiness to apply mandatory areas for cloth masks or transparent masks for those who have deaf disabilities, have a thermogun (a gunshot body temperature gauge), map education unit residents may not carry out activities in the education unit and make an agreement with the education unit committee regarding the readiness to conduct in person learning in the educational unit. …”
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Psychologist. Pedagogue. Person. On the Anniversary of Tatiana Germanovna Goryacheva by E.O. Sedova

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The Story of Non-real Man: personal identity and existentialism by R. L. Kochnev

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Why Does So Matter to Be a Dead Person? by A. V. Nekhaev

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Influence of Personal Preferences on Link Dynamics in Social Networks by Ashwin Bahulkar, Boleslaw K. Szymanski, Nitesh Chawla, Omar Lizardo, Kevin Chan

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To the question of secondary linguistic person: communicator, interpreter, or author? by E. V. Pastukhova, E. A. Tsvetukhina

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Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

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Social media addiction and borderline personality disorder: a survey study by Madison Collins, Jon E. Grant

“…Background and aimsBorderline personality disorder (BPD) is a serious and difficult to treat psychiatric condition characterized by affective and interpersonal instability, impulsivity, and self-image disturbances. …”
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A Meta-Analysis of the Structural Validity of Original and Brief Versions of the Personality Inventory for DSM-5 in Iran by Saeid Komasi, Andre Kerber, Christopher James Hopwood

“…The second aim was to evaluate the factor structure and reliability of the Persian version of the Personality Inventory for DSM-5-Brief Form (PID-5-BF). …”
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Active Ageing Level of Older Persons: Regional Comparison in Thailand by Md. Nuruzzaman Haque

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Frailty and the Risk of Polypharmacy in the Older Person: Enabling and Preventative Approaches by Martin C. Nwadiugwu

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The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and Pharmacometabolomics by Arwa M. Amin, Lim Sheau Chin, Dzul Azri Mohamed Noor, Muhamad Ali SK Abdul Kader, Yuen Kah Hay, Baharudin Ibrahim

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