Identification of a potential miRNA–mRNA regulatory network for ischemic stroke by using bioinformatics methods: a retrospective study based on the Gene Expression Omnibus database... by Zhaoying Chen, Xiaodan Zhang, Xiangjun Qi, Jiyuan Zheng, Niancai He, Bohui Zheng, Nan Zhong, Chengcheng Ji, Yulan Jin, Hu Yu, Weinv Fan, Guoming Chen

“…Bioinformatics analyses, including differential expression analysis and machine learning algorithms, were employed to identify key miRNAs and their target mRNAs. …”
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What is the Role of Medical Informatics in Digital Healthcare? by Mihai TĂRÂŢĂ

“… Medical Informatics plays a fundamental role in modern Digital Healthcare, serving as a bridge between clinical practice, data science, and information technology. It facilitates the efficient collection, storage, retrieval, and application of health data, ultimately improving patient outcomes, reducing costs, and enhancing the healthcare experience. …”
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A Model for Creating and Implementing Ambidextrous Innovation in Iranian Banking by Vahid Khashei Varnamkhasti, Sajad Farsi

“…The first level included the executive process mechanism, organizational learning, and the creation of technological infrastructure. …”
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SELF-ASSESSMENT OF TEACHERS’ READINESS FOR IMPROVING THE TEACHING OF PSYCHOLOGICAL AND PEDAGOGICAL DISCIPLINES: THE RELEVANCE OF RESEARCH FOR UKRAINE by Larysa Petrenko

“…To achieve this aim, the author used the following research methods: meta-analysis of dissertations and scientific publications to determine the essence of the concept of “teachers’ readiness for improving the teaching of psychological and pedagogical disciplines”, its structure and component content; self-assess- ment of the formation levels of the components of the phenomenon; online surveying with the use of Goog- with the use of Goog- Goog- le Forms to collect data and analyse the results; data processing and graphical presentation by means of Microsoft Excel and the Datawrapper digital tool. …”
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The inconsistent pathogenesis of endometriosis and adenomyosis: insights from endometrial metabolome and microbiome by Chao Li, Xinxin Xu, Xiaojie Zhao, Bin Du

“…Additionally, we integrated transcriptomic analysis using nine transcriptomic data sets to investigate the biological basis of these conditions. …”
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Effect of cognitive-communicative model on senior high school students’ proficiency in solving algebraic word problems by Sandra Boamah, Emmanuel Asemani, Emmanuel Kabutey Koranteng, Ronald Osei Mensah

“…Both groups underwent pre-tests and post-tests simultaneously, utilizing a teacher-created achievement test. Analysis of the data through independent sample t-tests indicated that the intervention significantly enhanced the word problem-solving abilities of the experimental group. …”
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Disability training for healthcare workers in Uganda: qualitative findings from the pilot test by Tracey Smythe, Andrew Sentoogo Ssemata, Abdmagidu Menya, Femke Bannink Mbazzi, Hannah Kuper

“…We used an inductive approach for analysis and Kirkpatrick’s Four-Level Training Evaluation Model to assess reactions, learning, behaviour changes, and results. …”
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Artificial Intelligence in Diagnosis and Management of Nail Disorders: A Narrative Review by Vishal Gaurav, Chander Grover, Mehul Tyagi, Suman Saurabh

“…In healthcare, AI encompasses various subfields, including machine learning, deep learning, natural language processing, and expert systems. …”
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Root segmentation of horticultural plants in X-Ray CT images by integrating 2D instance segmentation with 3D point cloud clustering by Mary E. Cassity, Paul C. Bartley, Yin Bao

“…Further experiments showed reducing the training data to 1 % did not significantly impact the segmentation accuracy. …”
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Image-based yield prediction for tall fescue using random forests and convolutional neural networks by Sarah Ghysels, Bernard De Baets, Dirk Reheul, Steven Maenhout

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Development of digital comics to improve reading comprehension and self-efficacy of grade V students by Adisty Ameliya Putri, Sri Sukasih

“…Data were obtained through qualitative and quantitative methods including interviews, classroom observations, student questionnaires, and pretest-posttest instruments. …”
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Living restricted lives - Understanding the impact of isolation, social distancing and other restriction measures on older care home residents and their relatives in England during... by Sarah Sims, Amit Desai, Ruth Harris, Anne Marie Rafferty, Shereen Hussein, Richard Adams, Lindsay Rees, Sally Brearley, Joanne M Fitzpatrick

“…Interviews were audio- and video-recorded with participants' permission and analysed using an inductive orientation to thematic analysis, with coding and theme development driven by the data content.…”
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Lightweight Brain Tumor Segmentation Through Wavelet-Guided Iterative Axial Factorization Attention by Yueyang Zhong, Shuyi Wang, Yuqing Miao, Tao Zhang, Haoliang Li

“…Background/Objectives: The accurate and efficient segmentation of brain tumors from 3D MRI data remains a significant challenge in medical imaging. …”
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Next Generation Human Action Recognition: A Comprehensive Review of State-of-the-Art Signal Processing Techniques by Misha Karim, Shah Khalid, Sungyoung Lee, Sulaiman Almutairi, Abdallah Namoun, Mohammed Abohashrh

“…This review bridges the gap between classical techniques, such as Fourier Transform (FT), Wavelet Transform (WT), and Principal Component Analysis (PCA), and advanced Deep Learning (DL) approaches, including Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) and emerging Transformer-based architectures. …”
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DGNMDA: Dual Heterogeneous Graph Neural Network Encoder for miRNA-Disease Association Prediction by Daying Lu, Qi Zhang, Chunhou Zheng, Jian Li, Zhe Yin

“…GNNs, a class of deep learning architectures tailored for graph data analysis, have greatly facilitated the advancement of miRNA-disease association prediction algorithms. …”
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Effect of concept mapping education on clinical decision-making in nursing students: A randomized controlled trial by Mahla Doustinouri, Fatemeh Sadeghy, Fatemeh Hatefi, Fereshteh Mallahigar, Seyyedeh Mahdiyeh Khastar

“…Nurses' proficiency in proper clinical decision-making significantly improves the quality of nursing care. As an active learning approach, concept mapping education plays a vital role in deep learning and applying critical thinking skills in clinical decision-making. …”
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Prediction of mechanical characteristics of shearer intelligent cables under bending conditions. by Lijuan Zhao, Dongyang Wang, Guocong Lin, Shuo Tian, Hongqiang Zhang, Yadong Wang

“…The model's performance is validated through comparisons with multiple other models, and the contributions of input features to the model's predictions are quantified using Shapley Additive Explanations (SHAP). By learning the stress variation patterns between the optical fiber, power conductor, and control conductor in the shearer cable, the model enables accurate prediction of the stress in other cable conductors based on optical fiber stress data. …”
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Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery by Ching-Chun Chang, Kai Gao, Shuying Xu, Anastasia Kordoni, Christopher Leckie, Isao Echizen

“…Neural backdoors represent insidious cybersecurity loopholes that render learning machinery vulnerable to unauthorised manipulations, potentially enabling the weaponisation of artificial intelligence with catastrophic consequences. …”
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The impact of short videos on young people’s willingness to engage in martial arts: establishing and testing a conditional process model by Hao Zeng, Guangyuan Yao, Xiujie Ma

“…Using short videos featuring martial arts influencer Ling Yun as stimuli, we conducted a mixed-methods study with surveys from 519 adolescents and follow-up interviews. Data were analyzed through path analysis, mediation effect tests, and hierarchical regression. …”
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Multiple model visual feature embedding and selection method for an efficient ocular disease classification by Isha Kansal, Vikas Khullar, Preeti Sharma, Supreet Singh, Junainah Abd Hamid, A. Johnson Santhosh

“…Initial experiments utilized transfer learning models such as DenseNet201, EfficientNetB3, and InceptionResNetV2. …”
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