Retention of international nurses in receiving country: Voices of Indonesian nurses in Japanese healthcare facilities by Ferry Efendi, Eka Mishbahatul Mar’ah Has, Rifky Octavia Pradipta, Grace Solely Houghty, Hisaya Oda, Yuko Tsujita

“…Results: Six prominent themes and 15 subthemes emerged: 1) organizational factors (caring leader, involvement in decision making, career development, and participation in training); 2) social support systems (group support, colleagues support and friend support); 3) individual drive (lifelong learning and persistent); 4) national policies (government support in public service and flexibility in finding a comfortable placement); 5) family factors (positive support of child education and development and maintaining relationship with spouse); and 6) economic factors (staying due to high salary and increasing income streams). …”
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Exploring the operator experience in automated shuttles: Fatigue, attention, and gaze behaviour by Christer Ahlström, My Weidel, Anna Sjörs Dahlman, Ashleigh Filtness, Anna Anund

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Exploring community stakeholder perspectives of partnership development in community-engaged undergraduate Global Health Education in the UK: a qualitative study by Shyam Sundar Budhathoki, Helen Ward, Dorota Chapko, Christine Pettitt, Keitumetse-Kabelo Murray

“…Partnership development was influenced by the CBOs’ perception of students which caused power differentials in the development of learning plans. Reciprocity refers to a multidirectional benefit pathway resulting from the community involvement programme, which had short-term and anticipated long-term effects. …”
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MDFGNN-SMMA: prediction of potential small molecule-miRNA associations based on multi-source data fusion and graph neural networks by Jianwei Li, Xukun Zhang, Bing Li, Ziyu Li, Zhenzhen Chen

“…Results In this study, we proposed a deep learning method called Multi-source Data Fusion and Graph Neural Networks for Small Molecule-MiRNA Association (MDFGNN-SMMA) to predict potential SM-miRNA associations. …”
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Development of an Augmented Reality-Based Practicum E-Module Integrated with Local Wisdom of Salak Fruit by Heni Mulyani Pohan, Adi Syaputra, Fatma Suryani Harahap, Dinda Yunita, Rabiyatul Adawiyah Siregar, Anouar Ben Mabrouk

“…The integration of augmented reality (AR) technology into education has gained attention as an innovative tool to enhance students' learning experiences, particularly for abstract concepts such as chemical bonding. …”
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Enhancing Educational Systems on Creating Job Opportunities by Promoting Knowledge-Based Economy in the Sultanate of Oman by NourEldin Mohamed Elshaiekh, Said Mohammed Alrashdi, Ahmed Maher Shehata, Naifa Eid Bait bin Saleem

“…Knowledge-based education plays a significant role in enhancing educational systems, resulting in improved learning outcomes, enriched knowledge, job creation, and reduced unemployment. …”
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ORGANIZATION OF INDEPENDENT STUDENT WORK BASED ON STUDENT BLOGGING ACTIVITY by A. A. Gareyev, O. F. Shikhova, Yu. A. Shikhov

“…The developed model, unlike many other models based on using ICT in foreign language teaching, takes into account the necessity of professional orientation of students’ foreign language self-learning. The model involves the use of thesaurus approach to enrich the learner’s vocabulary; and qualimetric approach to identify the level of their professional foreign language competence development. …”
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A qualitative study exploring depressed participants’ experiences of receiving Augmented Depression Therapy (ADepT) by Rebecca Watson, Kim A Wright, Nigel Reed, Barney Dunn, Emily Widnall, Kalliopi Demetriou, Laura Warbrick, Katie Marchant, Nicole Geschwind, Isabella Magner-Parsons, Rachel Barter

“…Helpful aspects of therapy were a positive therapeutic bond, the structure and flow of therapy scaffolding the learning journey, the tools and techniques of therapy helping building wellbeing and booster sessions supporting long-term recovery. …”
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Prediction of sentiment polarity in restaurant reviews using an ordinal regression approach based on evolutionary XGBoost by Dana A. Al-Qudah, Ala’ M. Al-Zoubi, Alexandra I. Cristea, Juan J. Merelo-Guervós, Pedro A. Castillo, Hossam Faris

“…This research aims to intensify the usage of data analytics, machine learning, and sentiment analysis of textual data to classify customers’ reviews, feedback, and ratings of businesses in Jordan’s food and restaurant industry. …”
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Multi-Temporal Image Fusion-Based Shallow-Water Bathymetry Inversion Method Using Active and Passive Satellite Remote Sensing Data by Jie Li, Zhipeng Dong, Lubin Chen, Qiuhua Tang, Jiaoyu Hao, Yujie Zhang

“…Finally, ICESat-2 laser altimeter data are fused with multi-temporal Sentinel-2 satellite data to construct a machine learning framework for coastal bathymetry. The bathymetric control points are extracted from ICESat-2 ATL03 products rather than from field measurements. …”
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Causal Inference for Hypertension Prediction With Wearable E lectrocardiogram and P hotoplethysmogram Signa... by Ke Gon g, Yifan Chen, Xinyue Song, Zhizhong Fu, Xiaorong Ding

“…Finally, we used these features to detect hypertension via machine learning algorithms. Results We validated the proposed method on 405 subjects. …”
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Routine antibiotics for infants less than 6 months of age with growth failure/faltering: a systematic review by Jai K Das, Zulfiqar Ahmed Bhutta, Abigail Smith, Aamer Imdad, Olivia Tsistinas, Emily Tanner-Smith, Melissa François, Fanny F Chen, Momal Sana

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Reconstruction of Partial Glossectomy Defects in Patients with Squamous Cell Carcinoma of Oral Tongue: A Prospective Clinical Study on the Assessment and Comparison of Intraoperati... by Shubhanshi Kangloo, Nitin Bhola, Anchal Agarwal, Raj Kumar Chakraborty, Priyatam Mishra, Saurabh Pillai

“…Furthermore, it has comparatively less postoperative complications as it has less learning curve.…”
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Optimized Application of CGA-SVM in Tight Reservoir Horizontal Well Production Prediction by Chao Wang, Ruogu Wang, Yuhan Lin, Jiafei Zhang, Xiaofei Xie, Zidan Zhao, Yunlin Xu

“…At the same time, on the basis of the previous data processing, the fuzzy set classification method is used to build the model, and the learning model is more close to different types of well production, which enhances the applicability of the model in the field practice. …”
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From Night to Light: A Bibliometric Analysis of the Global Research Trajectory of Sleep Disorders in Parkinson’s Disease by Shi L, Zhao X, Wu J, He C

“…Emerging keywords include machine learning, sleep quality, biomarkers, covid-19, and mouse model.Conclusion: This bibliometric analysis sheds light on the global landscape of PD-related sleep disorder research over the past two decades, highlighting key countries, institutions, authors, and journals driving advancements in the field. …”
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A Line of Sight/Non Line of Sight Recognition Method Based on the Dynamic Multi-Level Optimization of Comprehensive Features by Ziyao Ma, Zhongliang Deng, Zidu Tian, Yingjian Zhang, Jizhou Wang, Jilong Guo

“…Experimental results show that the NLOS/LOS recognition method proposed in this paper has higher accuracy than other deep learning methods.…”
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Tryptophan metabolism-related gene CYP1B1 serves as a shared biomarker for both Parkinson’s disease and insomnia by Xin-Yu Li, Wen-Kai Yu, Jing-Hao Wu, Wen-Jun He, Yu-Nan Cheng, Kai Gao, Yi-Han Wei, Yu-Sheng Li

“…Through Protein–Protein Interaction (PPI) network analysis, Support Vector Machine-Recursive Feature Elimination (SVM-RFE) , and Extreme Gradient Boosting (XGBoost) machine learning, we identified Cytochrome P4501B1 (CYP1B1) and Electron Transfer Flavoprotein Alpha (ETFA) as key hub genes. …”
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Edge-Preserving Probabilistic Downsampling for Reliable Medical Segmentation in Resource-Constrained Environments by Shahzad Ali, Yu Rim Lee, Soo Young Park, Won Young Tak, Soon Ki Jung

“…Downsampling, often necessitated due to resource constraints such as limited memory, development timelines, or the need to accelerate learning from large volumes of unlabeled medical data, results in the loss of fine-grained details, including small objects and thin class boundaries. …”
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Community advisory boards as implementation strategies to center partner and patient voice in community health centers by Rebekka M. Lee, Kamini Mallick, James G. Daly, Vetta Sanders Thompson, Elise Hoffman, Maria Papadopoulos, Stacey Curry

“…Methods: This mixed methods study integrates brief quantitative surveys of community engagement (N = 20) and one-on-one qualitative interviews (N = 13) of staff and community partners engaged in CHC CABs with a cost analysis and qualitative feedback from CHC staff participating in an online learning community (N = 17). Results: Community partners and staff engaged in the CHC CABs reported high ratings of engagement, with all mean ratings of community engagement principles above a 4 (“very good” or “often”) out of 5. …”
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Design of an Improved Method for Visual Rendering in the Metaverse Using CIEM and MSRANet by Janapati Venkata Krishna, Priyanka Singh, Regonda Nagaraju, Setti Vidya Sagar Appaji, Attuluri Uday Kiran, K. Spandana

“…Multi-Scale Residual Attention Network combines residual learning with the attention mechanism at multiple scales, achieving a latency reduction of 25% and an image quality improvement of 10% to balance high visual fidelity with computational efficiency. …”
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