Strategies to mitigate the impact of the COVID-19 pandemic on child and youth well-being: a scoping review protocol by Jeanna Parsons Leigh, Henry T Stelfox, Perri R Tutelman, Diane L Lorenzetti, Melanie C Anglin, Kirsten M Fiest, Stephana Julia Moss, Emily A FitzGerald, Stacie Smith, Micaela Harley, Kathryn Birnie, Sara J Mizen

“…Well-being will be operationalised according to pre-established domains (health and nutrition, connectedness, safety and support, learning and competence, and agency and resilience). …”
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Using a digital health intervention “INTERCEPT” to improve secondary prevention in coronary heart disease (CHD) patients: protocol for a mixed methods non-randomised feasibility st... by Catriona Jennings, Irene Gibson, Marissa Corcoran, John William McEvoy, Lis Neubeck, Lisa Hynes, Faisal Sharif, David Wood, Andrew W Murphy, Molly Byrne

“…This will enable early learning about the processes of recruitment and conducting the assessment prior to full scale deployment of INTERCEPT in the next step implementation phase. …”
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Assessing the Uses, Benefits, and Limitations of Digital Technologies Used by Health Professionals in Supporting Obesity and Mental Health Communication: Scoping Review by Amanda Kearns, Anne Moorhead, Maurice Mulvenna, Raymond Bond

“…Technologies such as virtual learning collaborative dashboards and videoconferencing, supported by automated SMS text messaging and social media (Facebook and WhatsApp groups), were commonly used. …”
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Effects of Simultaneously Performed Dual-Task Training with Aerobic Exercise and Working Memory Training on Cognitive Functions and Neural Systems in the Elderly by Hikaru Takeuchi, Daniele Magistro, Yuka Kotozaki, Kosuke Motoki, Keyvan Kashkouli Nejad, Rui Nouchi, Hyeonjeong Jeong, Chiho Sato, Salvatore Sessa, Ryoichi Nagatomi, Massimiliano Zecca, Atsuo Takanishi, Ryuta Kawashima

“…SDAEWMT improved executive function (performance of a frontal assessment battery); however, there was no evidence of broader transfer effects or enhanced learning with WMT. SDAEWMT resulted in mean diffusivity changes in brain areas involving the dopaminergic system, suggesting that neural tissue changes occurred in these areas. …”
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Residency training programs to support residents working in First Nations, Inuit, and Métis communities by Marghalara Rashid, Julie Nguyen, Wayne Clark, Jessica L. Foulds, Ida John, Ming-Ka Chan, Molly Whalen-Browne, Pamela Roach, Melanie Morris, Sarah Forgie

“…Equipping trainees to provide holistic care, immersing in and learning from First Nations, Inuit and/or Métis communities is essential for developing the next generation of clinicians and preceptors. …”
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Möte mellan tradition och förändring: en forskningsöversikt om undervisning i fritidshem by Helene Elvstrand, Lena Boström, Monica Orwehag

“…ENGLISH ABSTRACT Traditions and Change: A Review Article on Swedish School-age Educare Practice Over the last decade, there has been a shift in the Swedish school-age educare (SAEC) from a social-pedagogical tradition to an increased emphasis on learning and teaching. The phenomenon of teaching is fairly new in SAEC, and several studies show that SAEC teachers experience uncertainty in how this should be interpreted and put into practice. …”
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Historical education of primary school children: from theory to practice by Irina V. Verkhovykh, Natalya P. Shityakova, Inga V. Zabrodina

“…This requires teachers to understand the essence of this process, apply innovative teaching methods and approaches aimed at actively involving students in learning history. The purpose of our research is to determine the essence of the concept of “historical education of primary school children” and the specifics of the organization of this process in primary school. …”
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Autoencoder Reconstruction of Cosmological Microlensing Magnification Maps by Somayeh Khakpash, Federica B. Bianco, Georgios Vernardos, Gregory Dobler, Charles Keeton

“…We introduce a deep-learning model that is trained on pre-computed magnification maps covering the parameter space on a grid of κ , γ , and s . …”
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Pharmacy students’ opinion on mandatory summer internships carried out in community and hospital pharmacies by Lucyna Bułaś, Anna Gołda, Ewa Długosz, Artur Owczarek, Anna Zagaja, Mariola Drozd

“…Results The paper presents the results of selected questions related specifically to the legitimacy of summer internships and learning about professional responsibilities. Altogether 447 questionnaires, evaluating summer internships in both community and hospital pharmacies were collected. …”
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CORELATION OF PARENTS' PROFILES OF CHILDREN WITH LATE CLEFT REPAIR IN SURABAYA CLEFT LIP AND PALATE CENTRE (JANUARY 2015–DECEMBER 2017) by Laras Puspita Ningrum, Iswinarno Doso Saputro, Lobredia Zarasade

“…The  soft  palate  must function  properly before the  patient  starts learning  to  talk,  otherwise  speech disorders such as persistent rhinolalia aperta might arise. …”
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PPARG/SPP1/CD44 signaling pathway in alveolar macrophages: Mechanisms of lipid dysregulation and therapeutic targets in idiopathic pulmonary fibrosis by Ganggang Li, Yuwei Zhang, Huanyu Jiang, Xuanyu Wu, Yanwei Hao, Yuchen Su, Yutong Zou, Wenjia Xian, Fei Wang, Quanyu Du

“…To address this, we analyzed 12 bulk RNA-seq and 2 single-cell RNA-seq datasets from the GEO database using machine learning approaches. As a result, we identified four key lipid-related genes—PPARG, SPP1, CASP3, and PECAM1—that are expressed across various cell types. …”
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Upskilling or deskilling? Measurable role of an AI-supported training for radiology residents: a lesson from the pandemic by Mattia Savardi, Alberto Signoroni, Sergio Benini, Filippo Vaccher, Matteo Alberti, Pietro Ciolli, Nunzia Di Meo, Teresa Falcone, Marco Ramanzin, Barbara Romano, Federica Sozzi, Davide Farina

“…Critical relevance statement Balancing educational benefits and deskilling risks is essential to exploit AI systems as effective learning tools in radiology residency programs. Our work highlights metrics for evaluating these aspects. …”
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Preferred labels and language to improve communication about lesions at low risk of progressing to cancer: qualitative interviews with patients and physicians by Antonio Finelli, Anna R Gagliardi, Frances C Wright, Rachel Kupets, Mavis S Lyons, Clara Baker, Genevieve Chaput, Nicole J Look Hong

“…Patients preferred abnormal cells, particularly when first learning of their diagnosis, and desired additional information to distinguish their diagnosis from cancer and justify treatment. …”
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Proteomic, metabolomic and lipidomic profiles in community acquired pneumonia for differentiating viral and bacterial infections by Samuel Rischke, Robert Gurke, Ann-Sophie Zielbauer, Nicole Ziegler, Lisa Hahnefeld, Michaela Köhm, Aimo Kannt, Maria JGT Vehreschild, Gerd Geisslinger, Gernot Rohde, Carla Bellinghausen, Frank Behrens, CAPNETZ Study group

“…Statistical methods, machine learning and pathway analyses were conducted investigating differences between the infection types. …”
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Development of data-driven algal bloom alert models with low temporal resolution data and application to Hong Kong rivers by Shujie Xu, Zhongnan Ye, Shu-Chien Hsu, Xiaoyi Liu, Chunmiao Zheng

“…This study presents a data-driven algal bloom alert model employing machine learning and data discretization techniques to solve the data issue, utilizing monthly water quality data of 12 rivers and daily weather data in Hong Kong. …”
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UK medical students’ mental health and their intention to drop out: a longitudinal study by Asta Medisauskaite, Antonia Rich, Milou Silkens, Neha Lagisetty

“…Medical schools should improve the learning environment for students and encourage them to seek help to reduce the stigma of mental ill-health symptoms (eg, through education, signposting). …”
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A CNN-RF Hybrid Approach for Rice Paddy Fields Mapping in Indramayu Using Sentinel-1 and Sentinel-2 Data by Dodi Sudiana, Mia Rizkinia, Rahmat Arief, Tiara De Arifani, Anugrah Indah Lestari, Dony Kushardono, Anton Satria Prabuwono, Josaphat Tetuko Sri Sumantyo

“…CNN-RF outperforms other classifiers owing to the hybrid learning combination, which improves the accuracy through feature extraction by CNN and handles complex relationships between features while reducing overfitting by RF. …”
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Types and cost of wellness services provided by a neighborhood-based academic nursing center by Hae-Ra Han, Hae-Ra Han, Yoon-Jae Lee, Yoon-Jae Lee, Jennifer J. Lee, Chun-An Sun, Ophelia Dapaah-Gyimah, Patty Wilson, Catherine Ling, Eric Slade, Eric Slade

“…The next generation of healthcare teams is learning with and from the community creating a holistic educational experience in building skills outside of institutional bedsides. …”
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Radiomorphometric Parameters in Mandibular Panoramic Radiographs of Hypothyroid Patients: A Cross-Sectional Study by Nair A, Patil V, Bhardwaj I, Singhal DK, Smriti K, Chhaparwal Y, Chhaparwal S, Prabhu D

“…Applying newer technologies like machine learning can also help us determine whether mandibular morphometric parameters can predict changes in bone mineral density in hypothyroid cases.Keywords: hypothyroidism, bone mineral density, radiomorphometric indices, panoramic radiographs, osteoporosis…”
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Considerations for adapting digital competencies and training approaches to the public health workforce: an interpretive description of practitioners’ perspectives in Canada by Ihoghosa Iyamu, Swathi Ramachandran, Hsiu-Ju Chang, Andre Kushniruk, Francisco Ibáñez-Carrasco, Catherine Worthington, Hugh Davies, Geoffrey McKee, Adalsteinn Brown, Mark Gilbert

“…Findings demonstrated roles for specialized digital programs as resources for learning within health systems and emphasized hands-on real-world training approaches. …”
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