Utilization of Electronic Medical Records and Service Delivery at Medicus Health Care Kabale Municipality. by Kukunda, Tash

“…However, possible solutions were identified which included getting a standby power source, Training the staff, proper planning, and taking safe EMR precautions.…”
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How mindfulness-based training improves stress-related health: a selective review of randomized clinical trials comparing psychological mechanisms of action by Lara M. C. Puhlmann, Lara M. C. Puhlmann, Lara M. C. Puhlmann, Veronika Engert, Veronika Engert, Veronika Engert

“…We examine two comparative frameworks, the prominent Monitor and Acceptance Theory (MAT) and the ReSource training program, an intervention protocol designed to disentangle mindfulness components in a large-scale mental training project. …”
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Frequency transfer and inverse design for metasurface under multi-physics coupling by Euler latent dynamic and data-analytical regularizations by Enze Zhu, Zheng Zong, Erji Li, Yang Lu, Jingwei Zhang, Hao Xie, Ying Li, Wen-Yan Yin, Zhun Wei

“…However, due to limitations of measurement or computation source, training data at some frequencies are hardly accessible, especially for multi-physics problems. …”
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Deep learning for strawberry runner detection integrating ground and aerial imaging by Xue Zhou, Xu Wang, Liyike Ji, Santhi Daggubati, Kai Shen, Vance M. Whitaker

“…The detection model achieved F1-scores of 0.79, 0.81, and 0.82 on the GI, AI5, and AI10 validation datasets, respectively, outperforming the corresponding segmentation models and highlighting the benefit of multi-source training. Notably, for runner detection, aerial imaging at 5 m AGL achieved a strong balance between detection accuracy and imaging efficiency, with an F1-score of 0.81, outperforming both ground-based and higher-altitude aerial imagery. …”
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Unpaired image to image translation for source free domain adaptation in semantic segmentation by Juan An, Zhaoshui He, Jing Guo, Jing Wang, Zhijie Lin, Hao Liang, Ji Tan, Wenqing Su

“…Current SFDA methods commonly utilize source-trained models to generate pseudolabels for unlabelled target data. …”
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“Ensembled transfer learning approach for error reduction in landslide susceptibility mapping of the data scare region” by Ankit Singh, Nitesh Dhiman, K. C. Niraj, Dericks Praise Shukla

“…Two machine learning based model are trained in source area which is then transferred for prediction in target area and a source trained model combined with the knowledge of target is used for the prediction in the target area. …”
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A dynamic simulation method of urban rail traction power supply system based on quantized state time discretization by SHI Xiangwen, LIN Fei, WANG Chao, WU Xiaobo, SHA Donglei, YANG Zhongping

“…Secondly, the dynamic mathematical models of multi-pulse uncontrolled rectifier unit and the power source train of the urban rail traction power supply system were established by using the ordinary differential equations, and the real-time power flow analysis of AC and DC side of the model was implemented by using the mixed simulation method of quantized state time discretization in MATLAB. …”
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Low Saturation Confidence Distribution-based Test-Time Adaptation for cross-domain remote sensing image classification by Yu Liang, Shilei Cao, Juepeng Zheng, Xiucheng Zhang, Jianxi Huang, Haohuan Fu

“…LSCD-TTA adapts a source-trained model on the fly using only the target test data encountered during inference, enabling immediate and efficient adaptation while maintaining high accuracy. …”
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