Design and implementation of a community-based rehabilitation curriculum for training multidisciplinary rehabilitation teams to serve people aging with disabilities by Zaliha Omar, Yohei Otaka, Eiichi Saitoh

“…Thirty-five learners were trained through 36 instructional contact hours and 60 hours of guided self-directed learning. Learners completed pretraining self-reported questionnaires regarding knowledge and experience of CBR. …”
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Development of self-assessment scale of Public health nursing Art to enhance “Strength of Community” (PASC) by Miho Tanaka, Reiko Okamoto, Keiko Koide, Misaki Kiya

“…It is essential to develop a learning programme for public health nurses to acquire public health nursing skills that enhance community strengths and a self-assessment scale for achievement. …”
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Meaning mindset theory: a transdiagnostic approach to mental health promotion and intervention for children by Laura Lynne Armstrong, Emmalyne Watt, Catherine Laura Potter, Brent L. Epperson

“…This program has enhanced meaning mindset—agency over thoughts and behaviors, hope for a future that is good, positive self-concept, and openness to learning, new experiences, and feelings—as well as both internalizing and externalizing mental health. …”
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The crane radar: Development and deployment of an operational eco-digital twin by K. De Koning

“…By showing an example of the crane radar, a real-time digital twin of the common crane (Grus grus) migration, this paper illustrates what digital twins could look like in ecology, and which challenges modellers face towards actual deployment of their digital twin in an operational environment.The most important challenges identified here are: ex ante quality and error control of the input data; accounting for time lags between observations and data availability; harmonising the updating frequencies and temporal resolutions of models and data; developing robust model/software code to keep digital twins alive; the necessity of learning new skills for ecological modellers; and effectively communicating digital twin outputs to stakeholders. …”
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Cells Grouping Detection and Confusing Labels Correction on Cervical Pathology Images by Wenbo Pang, Yi Ma, Huiyan Jiang, Qiming Yu

“…Specifically, we utilize clinical prior knowledge to break down the detection task into multiple sub-tasks for cell grouping detection, aiming to more effectively learn the specific structure of cells. Subsequently, we merge region proposals from grouping detection to achieve refined detection. …”
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Random Forests in Count Data Modelling: An Analysis of the Influence of Data Features and Overdispersion on Regression Performance by Ciza Arsène Mushagalusa, Adandé Belarmain Fandohan, Romain Glèlè Kakaï

“…Machine learning algorithms, especially random forests (RFs), have become an integrated part of the modern scientific methodology and represent an efficient alternative to conventional parametric algorithms. …”
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The Factors Affecting Grade Progress in Language Proficiency of Undergraduate Medical Students by Aivar L. Surji, Hannah K. Surji, Soma Hassan Hussein, Aziza Kavlu

“…Interviews were applied to grasp the contributors' experience with language learning and the factors they encountered. The participants’ responses presented that substantial workload and lengthy breaks were the factors that affected their language development. …”
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BERT-Residual Quantum Language Model Inspired by ODE Multi-Step Method by Shaohui Liang, Yingkui Wang, Shuxin Chen

“…This residual connection method based on the multi-step method can more effectively combine the advantages of BERT representation and quantum density matrix representation to enhance representation learning. Experiments show that in text classification benchmarks, our proposed method generally surpasses baseline models.…”
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Enhancing motor skills and coordination in middle schoolers through innovative physical education programs by Andrada Maria BULZ, Mihai ȘANDRA, Anca Maria SABĂU, Emilia Florina GROSU, Gheorghe Codruț BULZ

“…This study, which involves two hours a week for a school year (8 months), in which children can experience new materials and learning tools during sports lessons, will improve their coordination and motor skills. …”
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Effects of Level of Retrieval Success on Recall-Related Frontal and Medial Temporal Lobe Activations by Daniela Montaldi, Andrew R. Mayes, Anna Barnes, Donald M. Hadley, Jim Patterson, David J. Wyper

“…It is argued that whereas the medial temporal lobe activation increased as the proportion of response words successfully recalled increased, the bilateral frontal lobe activation increased in proportion to retrieval effort, which was greater when learning had been less good.…”
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Terrain Adaptive Estimation of Instantaneous Centres of Rotation for Tracked Robots by Cuifeng Wang, Wenjun Lv, Xiaochuan Li, Mingliang Mei

“…Second, a decision tree-based learning system is used to classify the terrains that the robot traverses, according to the vibration signals gathered by an accelerometer. …”
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GPS TRAJECTORY CLUSTERING FOR SPATIO – TEMPORAL BEHAVIOR ANALYSIS: THE APPLICATION OF HEATMAP TECHNIQUES AND SPATIO- TEMPORAL DUAL GRAPH NEURAL NETWORK by Mais Muhanad, Wadhah R.Baiee

“…Additionally, this thesis introduces a framework for time estimation based on graph-based deep learning, termed Spatio-Temporal Dual Graph Neural II Networks (STDGNN). …”
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Optimizing Clinical Reasoning: Unpacking the Impact of Virtual Patient Educational Duration in Cancer Care and Nursing Students’ Experiences by Masoud Bahrami, Arash Hadadgar, Masoumeh Fuladvandi

“…Notably, the participants exhibited contentment with the learning experience through VPs. Conclusions: The survey found that 85.60% of participants prefer using VPs for clinical reasoning education. …”
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Codeine 3-O-demethylase catalyzed biotransformation of morphinan alkaloids in Escherichia coli: site directed mutagenesis of terminal residues improves enzyme expression, stability... by Garrick W. K. Spencer, Xu Li, Kenny W. L. Lam, George Mutch, Fiona H. Fry, Sally L. Gras

“…Statistical analysis of biotransformation yield, enzyme expression and stability, predicted using changes in Gibbs free energy (ΔΔG) with deep-learning-based model DDmut, suggested that altered enzyme stability and/or expression of soluble protein may contribute to the observed improvements in biotransformation. …”
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Application of Multi-Criteria Decision-Making Models for Assessment of Education Quality in Water Resources Engineering by Mohammad Kazem Ghorbani, Nasser Talebbeydokhti, Hossein Hamidifar, Mehrshad Samadi, Michael Nones, Fatemeh Rezaeitavabe, Shabnam Heidarifar

“…This study aims to demonstrate an extensive methodology with a related algorithm for assessing the quality of education in Water Resource Engineering (WRE) based on Klein’s learning model and using the hybrid fuzzy-AHP-TOPSIS (FAT) method. …”
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Advanced retinal disease detection from OCT images using a hybrid squeeze and excitation enhanced model. by Gülcan Gencer, Kerem Gencer

“…This paper offers a hybrid SE (Squeeze-and-Excitation)-Enhanced Hybrid Model for detecting retinal disorders from OCT images, including DME, Drusen, and CNV, using artificial intelligence and deep learning.<h4>Methods</h4>The model integrates SE blocks with EfficientNetB0 and Xception architectures, which provide high success in image classification tasks. …”
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Features of personal competence of the employees of preventive activity units of the National Police by O. Yu. Shlomin

“…Cadets of the first year of study have the lowest levels of self-efficiency and self-management, as they have not adapted to new learning conditions yet and are not well-informed about future professional activities. …”
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Advances in antiviral strategies targeting mosquito-borne viruses: cellular, viral, and immune-related approaches by Ayyaz Khan, Zakirullah, Shahid Wahab, Seong-Tshool Hong

“…Additionally, it explores immunomodulatory therapies to enhance antiviral responses and emphasizes the potential of drug repurposing, bioinformatics, artificial intelligence, and deep learning in identifying novel antiviral candidates. …”
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PAPEL DO SUPERVISOR ESCOLAR DIANTE DA RELAÇÃO PROFESSOR-ALUNO by Marlons Lino da Cruz, Antonio Marcos de Oliveira Siqueira

“…A bibliographic research was carried out considering the contributions of several authors, trying to emphasize the importance of the good coexistence between educating and educators, as well as the necessity of the pedagogue to take care that the interpersonal dimension between teachers and learners does not negatively interfere in the teaching process. learning. It was concluded the importance of having a school supervisor acting as a mediator of the affections that occur within the school, in order to ensure that the formal educational process happens with quality. …”
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STEPNet: A Spatial and Temporal Encoding Pipeline to Handle Temporal Heterogeneity in Climate Modeling Using AI: A Use Case of Sea Ice Forecasting by Sizhe Wang, Wenwen Li, Chia-Yu Hsu

“…It builds on and extends the architecture of vision and temporal transformer architectures to leverage their power in extracting important hidden relationships over long data ranges. The learning pipeline is designed for flexibility and extendibility, enabling easy integration of different encoders to process diverse data characteristics and meet computational demands. …”
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