Machine learning for cardio-oncology: predicting global longitudinal strain from conventional echocardiographic measurements in cancer patients by Tagayasu Anzai, Kenji Hirata, Ken Kato, Kohsuke Kudo

Get full text

Transfer learning radiomic model predicts intratumoral tertiary lymphoid structures in hepatocellular carcinoma: a multicenter study by Juan Chen, Xiong Chen, Kai Fu, Feng Yi, Shichao Long, Mengsi Li, Linhui Zhong, Wenguang Liu, Deng Pan, Ganmian Dai, Wenzheng Li, Yue Ruan, Bocheng Zou

“…After features dimensionality and selection, corresponding features were used to construct transfer learning radiomic (TLR) models for diagnosing iTLS, and model interpretability was explored with pathway analysis in The Cancer Genome Atlas-Liver HCC. …”
Get full text

Perceived organisational support and organisational citizenship behaviour: Key insights from institutions of higher learning in Kabale District, Uganda by Abaho, Felix, Agaba, Moses, Mwazuna, Alice Ngele

“…The findings revealed that all the constructs of perceived organisational support – fair treatment, career development and rewards and recognition – had a strong and positive correlation to organisational citizenship behaviour among institutions of higher learning in Kabale District, as indicated by (r = .662, p < 0.01), (r = .656, p < 0.01) and (r =.729, p < 0.01), respectively. …”
Get full text

Exploring the complexities of thesis writing in the distance mode: postgraduate students’ perspectives, challenges and strategies by Mohamad Yunus, Bachtiar Bachtiar

“…The participants were from seven study programs in the Postgraduate Schools of UT. Findings – The study identifies key themes impacting thesis writing in a distance learning context, including self-discipline, time management, access to resources, technological adaptation, feelings of isolation, motivation and supervisory interaction. …”
Get full text

Physical activity and social-emotional learning in Canadian children: Multilevel perspectives within an early childhood education and care setting by Jasmine Zhang, Imogen M. Sloss, Nicola Maguire, Dillon T. Browne

“…Early childhood education and care programs can support physical activity and socio-emotional skills development. …”
Get full text

The Effect Of Emotional Intelligence And Woring Memory And Selective Attention On Reading Comprehension Of Students With Learning Difficulties In Lebanese Inclusive Schools by Shaza Ismail, Mounah Geha

“…Social emotional learning (SEL) programs have a positive effect on EI competencies and academic achievement. …”
Get full text

The effect of synergistic leadership behaviors on the knowledge hiding of kashan teachers: the mediating role of professional learning community and organizational voice by Razieh Aghababaei

“…Therefore, it is necessary to examine the effective constructs for reducing knowledge hiding; thus, the study aimed to investigate the mediating role of the learning community and organizational voice in the relationship between synergistic leadership behaviors and teachers' knowledge-hiding behaviors.Methodology: The study type was descriptive-correlational, and the statistical population included 3244 teachers in Kashan, with a sample size of 358 people using the Cochran formula. …”
Get full text

The potential role of biomarkers CD28 and PF4 in the pathogenesis of idiopathic pulmonary fibrosis and their impact on the prognosis: an immune microenvironment analysis by Li Yan, Jiang-Han Li, Ai-Li Zhang, He Li, Bo Pang, De-Yang Meng, Qian Fu, Li-Juan Du, Yan Su

“…Abstract Background This study aims to identify and investigate biomarkers associated with mitochondrial-related genes (MRGs) and programmed cell death-related genes (PCDRGs) that concurrently influence the progression of idiopathic pulmonary fibrosis (IPF) and to explore the underlying biological mechanisms involved. …”
Get full text

A randomized trial of adapted versus standard versions of the Transdiagnostic Intervention for Sleep and Circadian Dysfunction implemented via facilitation and delivered by communi... by Allison G. Harvey, Emma R. Agnew, Rafael Esteva Hache, Julia M. Spencer, Marlen Diaz, Estephania Ovalle Patino, Anne Milner, Lu Dong, Amy M. Kilbourne, Daniel J. Buysse, Catherine A. Callaway, Laurel D. Sarfan

Get full text

Deep learning-based FPGA steady-state temperature field reconstruction for nuclear safety level I&C systems by Fanyu Wang, Dongwei Wang, Ke Zhang, Qiang Deng, Qi Chen, Yang Zhao

“…In this work, a U-Net-based deep learning method to reconstruct the temperature field of FPGA using limited measurement points is proposed. …”
Get full text

Integrative multi-omics and machine learning reveal critical functions of proliferating cells in prognosis and personalized treatment of lung adenocarcinoma by Shun Wang, Dingtao Hu, Ruohuang Wang, Jie Huang, Baoqing Wang

“…An integrative machine learning program, comprising 111 algorithms, was developed to construct a Scissor+ proliferating cell risk score (SPRS). …”
Get full text

Prediction of reduced left ventricular ejection fraction using atrial fibrillation or flutter electrocardiograms: A machine-learning study by Soonil Kwon, SooMin Chung, So-Ryoung Lee, Kwangsoo Kim, Junmo Kim, Dahyeon Baek, Hyun-Lim Yang, Eue-Keun Choi, Seil Oh

Get full text

Barriers and facilitators to high-volume evidence-based innovation and implementation in a large, community-based learning health system by Cimone Durojaiye, Stephanie Prausnitz, Jennifer L. Schneider, Tracy A. Lieu, Julie A. Schmittdiel, Smita Rouillard, Yi-Fen Chen, Kristine Lee, Douglas A. Corley

“…The most commonly cited barriers were inadequate resource commitment for next-step implementation (n = 15), insufficient learning/implementation culture (n = 5), and insufficient individual-level willingness/ability for change (n = 5). …”
Get full text

Disulfidptosis-related gene in acute myocardial infarction and its diagnostic value and functions based on bioinformatics analysis and machine learning by Liwen Chen, Jinru Wei, Jinru Wei, Guoxiong Deng, Guoxiong Deng, Guien Xu

“…Disulfidptosis, a novel form of programmed cell death, has been largely unexplored in AMI. …”
Get full text

Faculty development for undergraduate student programmatic assessment: a Brazilian multi-centered longitudinal study by Rodrigo Humberto Flauzino, Maria Paula Panúncio-Pinto, Valdes Roberto Bollela, Luiz Ernesto de Almeida Troncon

“…Local leaders took an initial workshops cycle (20 h), which was followed by 10 similar activities at the various institutions. The program design covered topics on assessment practices and systems using active teaching–learning strategies. …”
Get full text

Developing an Instrument of Performance Assessment to Measure Problem-Solving Skills of Senior High School Students in Physics Inquiry-Based Learning by Alda Novita Sari, Undang Rosidin, Abdurrahman Abdurrahman

Get full text

Software Support for the Higher Mathematics Course at the Technical University by Oleksii Viktorovych Bogdanov, Yurii Pavlovych Butsenko, Olena Ivanivna Balina, Iryna Srhiivna Bezklubenko

Get full text

Examining teachers’ behavioural intention of using generative artificial intelligence tools for teaching and learning based on the extended technology acceptance model by Siu Cheung Kong, Yin Yang, Chunyu Hou

“…To enhance teachers' effective use of GenAI for teaching, teacher development programmes should focus on equipping teachers with comprehensive conceptual knowledge and skills and an understanding of the application of these tools to teaching and learning. …”
Get full text

From Observation to Ethical Inquiry: Course Redesign in Middle Level Educator Preparation by Sarah Straub, Elizabeth Gound

“…This manuscript explores the transformative impact of ethical engagement in the course MLGE 3301: Adolescent Learning, designed for pre-field students in an educator preparation program. …”
Get full text

Short-term residential electricity consumption forecast considering the cumulative effect of temperature, dual decomposition technology and integrated deep learning by Lanlan Wang, Yong Lin, Tingting Song, Yuchun Chen, Kai Li, Junchao Ran

“…A variety of model configurations were constructed using actual data from a coastal province in southern China, and the computational results show that the integrated prediction model exhibits excellent stability and accuracy.…”
Get full text