The analysis of the notions of Russian school principals about digital transformation by A. A. Deryabin, I. E. Boytsov, A. A. Popov, P. D. Rabinovich, K. E. Zavedensky, I. S. Tsarkov

“…The challenge of the pandemic forced educational organisations in Russia to resort to massive transition to distance learning and accelerated digital transformation of schools. …”
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5G Networks Security Mitigation Model: An ANN-ISM Hybrid Approach by Rafiq Ahmad Khan, Habib Ullah Khan, Hathal Salamah Alwageed, Hussein Al Hashimi, Ismail Keshta

“…The proposed model includes state-of-the-art machine learning with traditional information security paradigms to offer an integrated solution to the emerging complex security issues related to 5G. …”
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Informing policy with health labour market analysis to improve availability of family doctors in Tajikistan by Jamoliddin Abdullozoda, Salomudin Yusufi, Sulakshana Nandi, Parvina Makhmudova, Juana Paola Bustamante, Margrieta Langins, Alba Llop-Gironés, Ilker Dastan, Victor Olsavszky, Shukhrat Sultonov, Zebo Najmuddinova, Natasha Azzopardi-Muscat, Tomas Zapata

“…Implementation of the Action Plan will require political commitment, financial resources, strong inter-sectoral collaboration, stakeholder management, and cross-country learning of best practices. Through this process, Tajikistan has shown the way forward in implementing the Central Roadmap for health and well-being in Central Asia and the Framework for Action on the Health and Care Workforce in the WHO European Region.…”
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Towards a sustainable set of European Core Health Indicators (ECHI) by Mariken J. Tijhuis, Eveline A. van der Wilk, Sarka Dankova, Angela Fehr, Silvia Ghirini, Mika Gissler, Romana Haneef, Heidi Lyshol, Emanuele Scafato, Stefanie Seeling, Hanna Tolonen, Thomas Ziese, Irisa Zīle-Velika, Peter W. Achterberg

“…The indicators allow for learning by comparison and the list supports the organisation of national health information systems. …”
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Characterizing immune biomarkers and effector CD8+ T-cell exhaustion in pancreatic adenocarcinoma via single-cell RNA sequencing profiling by Rawaa AlChalabi, Raghda Makia, Semaa A. Shaban, Ahmed AbdulJabbar Suleiman

“…Virtual screening using a deep learning framework, GNINA, explored the inhibitory features of the anti-inflammatory drugs oxaprozin and celecoxib on IL7R. …”
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Managing Water-Ecosystem-Food Nexus using participatory approaches: insights from an innovative methodological approach developed in two Mediterranean areas by Dimitrios Malamataris, Vassilios Pisinaras, Alessandro Pagano, Valentina Baratella, Silvia Vanino, Manuel Bea, Konstantinos Babakos, Anna Chatzi, Stefano Fabiani, Raffaele Giordano, Petros Kafkias, Estrella López-Moya, Christina Papadaskalopoulou, Ivan Portoghese, Dimitris Tassopoulos, Andreas Panagopoulos

“…This paper presents and analyses an effective stakeholder engagement strategy, based on the Learning & Action Alliances (LAA) scheme and aimed at identifying Water-Ecosystems-Food (WEF) Nexus challenges and selecting NbS in two case studies in the Mediterranean area (Greece and Italy). …”
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Patients with Age-related Macular Degeneration Have Increased Susceptibility to Valvular Heart Disease by Natan Lishinsky-Fischer, Itay Chowers, MD, PhD, Yahel Shwartz, MSc, Jaime Levy, MD

“…Moreover, a supervised machine learning model successfully detected the presence of AMD based solemnly on the patient’s history of VHD. …”
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On the thinking of Traditional Chinese Medicine nursing talents cultivation based on the Traditional Chinese Medicine Nursing Inheritance Studio (基于中医护理传承工作站建设浅谈中医护理传承人才培养)... by ZHANG Xuejian (张雪键), TANG Ling (唐玲), ZHANG Dahua (张大华), ZHANG Jing (张敬), LIU Jing (刘静), CUI Yangfang (崔杨芳)

“…The Inheritance Studio of Famous Traditional Chinese Medicine Experts is an important platform and carrier for learning, inheriting, researching and popularizing famous experts, academic ideas and clinical experience, and cultivating TCM talents with characteristic expertise. …”
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The potential endocrine-disrupting of fluorinated pesticides and molecular mechanism of EDPs in cell models by Yalan Liu, Fengzhong Wang, Lin Li, Bei Fan, Zhiqiang Kong, Jianxin Tan, Minmin Li

“…Their actions are complex, affecting behavioral substances throughout the organism, and monitoring some complex biological phenotypes, sex- or age-specific effects, and behavioral learning poses significant challenges. The findings will serve as a reference for future studies on the toxicity of pesticides to humans and other organisms.…”
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Characteristics associated with career self-reliance behaviors of nurses working in nursing homes in Japan: A cross-sectional study by Ayako Nakayama, Junko Hoshino, Masashi Hotta, Mayuri Hashimoto, Naomi Furukawa

“…Conclusion: It is important for nurses working in nursing homes to enrich their nursing practice, continue learning, and be satisfied with their jobs to improve their career self-reliance. …”
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Differential effects of left DLPFC anodal and cathodal tDCS interventions on the brain in children with autism: A randomized controlled trial by Jiannan Kang, Juanmei Wu, Xinping Huang, Wenqin Mao, Xiaoli Li

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Experimental study and model prediction of the influence of different factors on the mechanical properties of saline clay by Hui Cheng, Lingkai Zhang, Chong Shi, Pei Pei Fan

“…The boundary point of the 2% salt content divides the effect of salt ions from promoting free water flow to blocking seepage channels, with the proportion of micropores being the primary influencing factor. (4) Employing statistical theory and machine learning algorithms, dry density, water content, and salinity are used to predict mechanical index values. …”
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Strengthening research preparedness for crises: lessons from Norwegian government agencies in using randomized trials and quasi-experimental methods to evaluate public policy inter... by Unni Gopinathan, Ingeborg Elgersma, Therese Dalsbø, Mona Bjørbæk, Atle Fretheim

“…For instance, the urgency of politicians to implement policies at scale has led to the discontinuation of trials and hindered learning from their effects. The surveyed agencies stressed the importance of legislation providing clear guidelines on when differential treatment can be justified and when informed consent requirements can be waived, as well as faster and clearer processes for managing privacy concerns related to data access. …”
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Pathological and radiological assessment of benign breast lesions with BIRADS IVc/V subtypes. should we repeat the biopsy? by Wesam Rjoop, Anwar Rjoop, Alia Almohtaseb, Lama Bataineh, Zeina Nser Joubi, Maha Gharaibeh, Abdalrahman Al-Qwabah, Yousef Alasheh, Ismail Matalka

“…There is a need for continuous research to improve the diagnosis and treatment of breast lesions and reduce false-positive rates by incorporating other methodologies such as sonoelastography and incorporating deep learning and artificial intelligence in the decision-making to eliminate unnecessary procedures.…”
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Playing hide and seek with primates: A comparative study of Theory of Mind by Aurore San‑Galli, Marie Devaine, Cinzia Trapanese, Shelly Masi, Sébastien Bouret, Jean Daunizeau

“…In fact, the location of the food was chosen by learning algorithms, some of which endowed with artificial ToM. …”
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Comment acquérir une compétence d’oral spontané en situation d’apprentissage institutionnalisée by Günter Schmale

“…These communicative structures are described as lexicogrammatical constructions, i.e. syntactic frameworks whose ‘slots’ are more or less lexically provided and which serve as a basis for foreign language learning. To create motivation and ensure the long-term acquisition of these "constructions", it is necessary to apply a constructivist methodology.…”
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The Undocumented Experience by Izah Tahir

“…When I couldn’t buy something as a child, I learned how to make it, and this shaped me into the artist I am today. …”
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Advancing arabic dialect detection with hybrid stacked transformer models by Hager Saleh, Hager Saleh, Hager Saleh, Abdulaziz AlMohimeed, Rasha Hassan, Mandour M. Ibrahim, Saeed Hamood Alsamhi, Moatamad Refaat Hassan, Sherif Mostafa

“…Recent advances in deep learning (DL) models have shown promise in overcoming potential challenges in identifying Arabic dialects. …”
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Ratio of Skeletal Muscle Mass to Visceral Fat Area Is a Useful Marker for Assessing Left Ventricular Diastolic Dysfunction among Koreans with Preserved Ejection Fraction: An Analys... by Jin Kyung Oh, Yuri Seo, Wonmook Hwang, Sami Lee, Yong-Hoon Yoon, Kyupil Kim, Hyun Woong Park, Jae-Hyung Roh, Jae-Hwan Lee, Minsu Kim

“…This study investigated the association between the ratio of skeletal muscle mass to visceral fat area (SVR) and left ventricular diastolic dysfunction (LVDD) in patients with preserved ejection fraction using random forest machine learning. Methods : In total, 1,070 participants with preserved left ventricular ejection fraction who underwent comprehensive health examinations, including transthoracic echocardiography and bioimpedance body composition analysis, were enrolled. …”
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Quantifying Baryonic Feedback on the Warm–Hot Circumgalactic Medium in CAMELS Simulations by Isabel Medlock, Chloe Neufeld, Daisuke Nagai, Daniel Anglés-Alcázar, Shy Genel, Benjamin D. Oppenheimer, Xavier Sims, Priyanka Singh, Francisco Villaescusa-Navarro

“…Using the SIMBA and IllustrisTNG suites from the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project, we explore the effect of parameters governing the subgrid implementation of stellar and AGN feedback. …”
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