Multi-Stage Restoration Strategy to Enhance Distribution System Resilience with Improved Conditional Generative Adversarial Nets by Wenxia Liu, Yuehan Wang, Qingxin Shi, Qi Yao, Haiyang Wan

“…On the premise of meeting the constraints of emergency microgrids and load characteristics, the optimal MESS configuration scheme and controllable DGs output are achieved to maximize the restoration of the power supply for critical loads. …”
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Energy Recovery Strategy Numerical Simulation for Dual Axle Drive Pure Electric Vehicle Based on Motor Loss Model and Big Data Calculation by Huiyuan Xiong, Xionglai Zhu, Ronghui Zhang

“…Aiming at the braking energy feedback control in the optimal energy recovery of the two-motor dual-axis drive electric vehicle (EV), the efficiency numerical simulation model based on the permanent magnet synchronous motor loss was established. …”
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CTV-MIND: A cortical thickness-volume integrated individualized morphological network model to explore disease progression in temporal lobe epilepsy by Xinyan Liu, Jiaqi Han, Xiating Zhang, Boxuan Wei, Lu Xu, Qilin Zhou, Yuping Wang, Yicong Lin, Jicong Zhang

“…MRI data were collected from 34 postoperative seizure-free TLE patients and 28 age- and sex-matched healthy controls (HC), with patients divided into LONG-TERM and SHORT-TERM groups. …”
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Comparative efficacy and safety of drug-coated balloons versus drug-eluting stents in small vessel coronary artery disease: an updated systematic review and meta-analysis of random... by Monisha Augustine, Mustafa Arain, Muhammad Saqlain Mustafa, Iman Moradi, Matthew Fredericks, Aaliya Rahman, Muhammad Afnan Ashraf, Glawish Sualeh, Rubab khan, Aqsa Saif, Haifa Arain, Dilip Baldevsingh Rajpurohit, Abdalkareem Nael Jameel Maslamani, Behrooz Shojai Rahnama, Javed Iqbal

“…Main text Following PRISMA guidelines, a systematic review identified seven randomized controlled trials (RCTs) comparing DCBs with DES for small vessel CAD. …”
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Impacts of spatial variability in urban hydrological modelling: a case study of the Canal do Mangue Basin in Rio de Janeiro, Brazil by James de Melo Sampaio Júnior, Marcelo de Miranda Reis, Igor da Silva Rocha Paz

“…The study concludes that spatial resolution, interpolation methods, and rain gauge density significantly affect model performance, providing valuable insights for optimizing hydrological modeling in urban basins.…”
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A Unified Framework for Adaptive Beamforming and State Estimation in Dynamic Multi-Lane V2V Networks by Nivetha Kanthasamy, Raghvendra V. Cowlagi, Alexander Wyglinski

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Effectiveness of Project-Based Learning and Think-Pair-Share Cooperative Learning Models in Improving Students’ Learning Outcomes Based on Their Learning Interest by Grace Fine Situngkir, Saliman Saliman

“…These findings emphasize the importance of selecting learning models that are adaptive to students’ characteristics to optimize learning achievement …”
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Exploring mechanisms of effective informal GenAI-supported second language speaking practice: a cognitive-motivational model of achievement emotions by Hanwei Wu, Wentao Liu

“…This study aims to explore these mechanisms through the lens of the cognitive-motivational model of achievement emotions in the control-value theory. …”
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Modeling Cut Rose Yield Over an 18‐Month Period After Compost Amendment Using Repeated Sigmoidal Gompertz Curve Fitting by E. A. deNijs, A. Tietema, R. Bol, E. E. vanLoon

“…Comparison of Generalized Additive Mixed Models with repeated Gompertz growth curves showed that the Gompertz model effectively captured yield dynamics in individual flushes with minimal compromise in model accuracy. …”
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Change Patterns of Desertification and Its Dominant Influencing Factors in China–Mongolia–Russia Economic Corridor Based on MODIS and Feature Space Model by Longhao Wang, Bing Guo, Rui Zhang

“…The optimal feature space model was used to establish the spatial–temporal change patterns of desertification in the CMREC from 2001 to 2020, and then the dominant driving factors were quantitatively determined. …”
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A data-driven reduced-order model for fast prediction of resonant acoustic flow under vertical vibration based on secondary decomposition by Yuqi Gao, Ning Ma, Shifu Zhu, Pengchao Zhang, Hongxing Liu, Zhongyuan Xie

“…Accurate dimensionality reduction models are crucial for constructing real-time computational digital twin systems for process equipment. …”
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Can interactive platform of university science parks enhance the quality of university research outcomes? evidence from a difference-in-differences model by Tianbao Guo, Tianbao Guo, Aowei He, Aowei He, Lei Zhai, Lei Zhai, Shuyi Yan

“…(e) Personnels’ perceived behavioral control anticipated negative emotions, and sense of community all have direct positive effects on innovative intentions. …”
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Using mathematical models to evaluate germination rate and seedlings length of chickpea seed (Cicer arietinum L.) to osmotic stress at cardinal temperatures. by Sikandar Shah, Sami Ullah, Sajjad Ali, Ajmal Khan, Muhammad Ali, Said Hassan

“…Based on the confidence intervals of the model coefficients and (R2: 0.96), the average cardinal temperatures were 4.7, 23 and 44.2°C for the base (Tb), optimal (To) and ceiling (Tc) temperatures respectively. θT1 value was observed maximum at 28°C in -0.2 MPa and decreases with decreasing Ψ (-0.8 MPa). …”
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The Application of Artificial Digital Models in X-Ray Computed Tomography (CT) of the Core in Solving the Problem of Binarization of the Void Space of Reservoir Rocks by O. A. Melkishev, Y. V. Savitsky, S. V. Galkin

“…Using regression and correlation methods, we developed a model to estimate the optimal boundary value for X-ray density in void space allocation.We proposed an algorithm for determining and applying this value in the analysis of core X-ray CT data.This model was tested on real samples that were not used in the development of the forecast model. …”
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Integrating anaerobic digestate effluent into microalgal systems for renewable biomass and wastewater treatment: Effects of dilution, C/N ratio, and growth modelling by Dhomas Indiwara Prana Jhouhanggir, Ambar Pertiwiningrum, Nanung Agus Fitriyanto, Eko Agus Suyono

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Research on the Simulation Model of Dynamic Shape for Forest Fire Burned Area Based on Grid Paths from Satellite Remote Sensing Images by Xintao Ling, Gui Zhang, Ying Zheng, Huashun Xiao, Yongke Yang, Fang Zhou, Xin Wu

“…The hyper-parameters of each model were optimized using grid search method. After analyzing the validation results of models which showed temperature as a non-significant variable, the training and validation process of models above was repeated after excluding temperature. …”
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Development of an electronic health record-based Human Immunodeficiency Virus (HIV) risk prediction model for women, incorporating social determinants of health by Yiyang Liu, Aokun Chen, Hwayoung Cho, Khairul A. Siddiqi, Robert L. Cook, Mattia Prosperi

“…Various machine learning (ML) methods were tested, and Shapley Additive Explanations (SHAP) values were used to interpret the model. Results Our sample included 1,458 women newly diagnosed with HIV and 33,155 controls who had never been diagnosed. …”
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The potential value of traditional Chinese medicine monomers in cerebral ischemia–reperfusion injury: a network meta-analysis based on animal model by Xin Luo, Jing-Yuan Niu, Hui-Sheng Chen

“…This network meta-analysis (NMA) aimed to investigate the optimal treatment strategy of TCM monomers for CIRI in animal models. …”
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Adaptive Dynamic Programming-Based Intelligent Finite-Time Flexible SMC for Stabilizing Fractional-Order Four-Wing Chaotic Systems by Mai The Vu, Seong Han Kim, Duc Hung Pham, Ha Le Nhu Ngoc Thanh, Van Huy Pham, Majid Roohi

“…Following this, a robust model-free control law is designed to counteract uncertainties and input saturation effects. …”
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The performance evolution of Xue and Yamada-Ota models for local thermal non equilibrium effects on 3D radiative casson trihybrid nanofluid by Ahmed M. Galal, Ali Akgül, Sahar Ahmed Idris, Shoira Formanova, Talib K. Ibrahim, Murad Khan Hassani, Abdullah A. Faqihi, Munawar Abbas, Ibrahim Mahariq

“…In systems where material qualities and heat transfer efficiency are crucial, the utilization of Xue model and Yamada-Ota model and to assess the thermal conductivity of the nanofluid adds a comparison dimension and enables optimized design. …”
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