Control Strategy for PHEB Based on Actual Driving Cycle with Driving Style Characteristic by Jianping Gao, Zhenhai Xu, Xiaojie Gao

“…Then, an identification model to recognize the current condition based on the Learning Vector Quantization (LVQ) neural network has been built and trained offline, which is integrated in the control strategy for PHEB to invoke the corresponding optimized key control parameters in real time. …”
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Collaborative Strategies in Authentic Assessment: Addressing Opportunities and Challenges in Post-Pandemic Indonesia by Ni Komang Sri Mariati

“…These strategies involve intensive communication, joint planning, and continuous evaluation to optimize the implementation of authentic assessment. …”
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Synergy-Dependent Center-of-Mass Control Strategies During Sit-to-Stand Movements by Simone Ranaldi, Leonardo Gizzi, Giacomo Severini, Cristiano De Marchis

“…While this theory has been exploited for a description of the motor control strategies underlying the biomechanical task, the biomechanical correlate of the synergistic activity is yet to be fully described. …”
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Hyperspectral image super-resolution via joint network with spectral-spatial strategy by Yaxin Dong, Bo Yang, Cong Liu, Zemin Geng, Taiping Wang

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Strategies to Improve Environmental Comfort of Institutionalized Older Adults: A Scoping Review by Catarina Lobão, Adriana Coelho, Rocío Gil Gutiérrez, Inês Marçal, Madalena Antunes, Vítor Parola

“…The demographic trends of an aging global population present significant challenges and opportunities for healthcare, particularly in providing optimal care environments for older adults living in long-term care facilities, with it being imperative to ensure these environments provide basic care and promote overall well-being through enhanced environmental comfort. …”
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Exploring the role of virtual reality in preparing emergency responders for mass casualty incidents by Alena Lochmannová

“…Abstract Background The increasing complexity of mass casualty incidents (MCIs) necessitates highly effective training for emergency responders. Traditional training methods, while effective in teaching core skills, often fail to replicate the dynamic, high-pressure environments responders face in real-world crises. …”
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Optimization of Flipped Classroom Teaching Model Based on Social Cognitive Network by Xinyue Wang

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GA-Synthesized Training Framework for Adaptive Neuro-Fuzzy PID Control in High-Precision SPAD Thermal Management by Mingjun Kuang, Qingwen Hou, Jindong Wang, Jianping Guo, Zhengjun Wei

“…This study presents a hybrid adaptive control strategy that integrates genetic algorithm (GA) optimization with an adaptive neuro-fuzzy inference system (ANFIS) for precise thermal regulation of single-photon avalanche diodes (SPADs). …”
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System Reliability Evaluation Based on Convex Combination Considering Operation and Maintenance Strategy by Lijie Li, Limin Jia, Yanhui Wang

“…Starting from the higher requirements on system operational safety and economy, the reliability focused optimal models of multiobjective maintenance strategies were built. …”
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Enhancing wound healing through deep reinforcement learning for optimal therapeutics by Fan Lu, Ksenia Zlobina, Nicholas A. Rondoni, Sam Teymoori, Marcella Gomez

“…By adaptively learning a linear representation of nonlinear wound healing dynamics using deep learning and interactively training a deep reinforcement learning agent for tracking the optimal signal derived from this representation without the need for intricate mathematical modelling, our approach has not only successfully reduced the wound healing time by 45.56% compared to the one without any treatment, but also demonstrates the advantages of offering a safer and more economical treatment strategy. …”
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SOSIALISASI PARENTING: STRATEGI DAN PERSIAPAN MEMILIH SEKOLAH KE JENJANG SELANJUTNYA by Dj Tekhen Hadi Pramudya Hadi

“…The materials presented included guidance on choosing the right school, effective communication techniques, emotional management, educational games that train children's focus and motor skills, and learning strategies that are fun and in accordance with the child's developmental stage. …”
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Braking control strategy of distributed electric vehicle based on vehicle velocity prediction by Meiying Li, Chengxin Li, Xuebo Li, Shu Wang, Xuan Zhao

“…Subsequently, a braking control strategy that integrates vehicle velocity prediction is formulated based on a parallel braking control approach to optimize braking energy recovery. …”
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Process intensification of cultivated meat production through microcarrier addition strategy optimisation by Vincent Bodiou, Nicolas Cristini, Lucrezia De Cristofaro, Tirusha Pareek, Varun Rajagopal, Lola Verrougstraete, Josué M. Heinrich, Mark J. Post, Panagiota Moutsatsou

“…We also demonstrated optimisation of the MC addition strategy by determining an optimal confluence range (15,000 to 25,000 cells/cm2) for MC additions and by maximising the MC expansion ratio to 10, without impairing growth. …”
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The evolving landscape of oral biology education: a comparative study of teaching strategies by Israa Ahmed Radwan, Sara El Moshy, Dina Rady, Nahed Sedky Korany, Fatma A. N. Abouel Maaty, Fatma I. Elfaiedi, Liza M. Monir, Mariam S. Ibrahim, Mai A. Ragab, Nada M. R. Osman, Nesma A. M. Shehata, Yasmin M. El-Ghazawy, Samah S. Mehanny, Marwa M. S. Abbass

“…Perpetual evaluation of teaching strategies is crucial for optimizing student engagement and ensuring the effectiveness of these advancements.…”
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Two-stage optimization based on heterogeneous branch fusion for knowledge distillation. by Gang Li, Pengfei Lv, Yang Zhang, Chuanyun Xu, Zihan Ruan, Zheng Zhou, Xinyu Fan, Ru Wang, Pan He

“…Therefore, this paper proposes two-stage optimization based on heterogeneous branch fusion for knowledge distillation (THFKD), which provides appropriate knowledge to the student model in different stages through a two-stage optimization strategy. …”
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An optimized generative adversarial network for state estimator in electric power systems by Ying-Yi Hong, Yen-Cheng Wang, Weina Zhang

“…Notably, the structure parameters and hyperparameters of both networks are determined using particle swarm optimization, thereby avoiding heuristic selection. With an appropriately designed network architecture and training strategy, the proposed WGAN is capable of performing effectively even when limited datasets are available. …”
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Immediate impact of augmented reality visual training on choroidal thickness and accommodative function: A small sample study by Guo-rui Hu, Zhi-xing Xu, Chang-feng Pan, Zheng-yang Tao, Hang Chu, Zong-yue Lv, Ze-feng Kang, Hong-wei Deng

“…These findings indicate that the integration of AR technology with DTx holds potential as a myopia intervention strategy and highlights a novel direction for further optimization of digital therapeutics.…”
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Hybrid Population Based Training–ResNet Framework for Traffic-Related PM2.5 Concentration Classification by Afaq Khattak, Badr T. Alsulami, Caroline Mongina Matara

“…Subsequent feature importance analysis using a permutation-based strategy, along with SHAP analysis, revealed that humidity and hourly traffic volume were the most influential features. …”
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Research on Train Impulse Suppression Technology Based on Electronic Switch Ground Automatic Passing Neutral Section Device by Fan YANG

“…In view of the serious train impulse caused by the application of the power electronic switch automatic passing neutral section technology, a dynamic moment unloading and loading control strategy was proposed which was suitable for the very short-term network voltage interruption, to realize the train traction force maintaining during the power loss time to actively suppress the train impulse;The generation mechanism of inrush current of transformer under the condition of extremely short-time switching of different phase network voltage was revealed, and the active suppression strategy of inrush current suitable for different phase network voltage switching was put forward; an optimized phase-locked strategy was expounded based on the combination of fast single-phase phase-locked and traditional phase-locked loop with coordinate transformation, which could effectively solve the problems of abnormal train control and traction long recovery time under the condition of passing neutral section with electronic switch. …”
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Optimizing Supply Chain Management to Reduce Food Waste and Loss in Agriculture by Hassan Muntather Muhsin, Hussein Abbas Hameed Abdul, Reddy V. Mallikarjuna

“…As a first step of this research, supply chain management is suggested to be optimized as a key strategy to reduce food waste and loss in agriculture. …”
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