Rapid Quality Assessment of Polygoni Multiflori Radix Based on Near-Infrared Spectroscopy by Bin Jia, Ziying Mai, Chaoqun Xiang, Qiwen Chen, Min Cheng, Longkai Zhang, Xue Xiao

“…After optimizing the model using CARS, R2C increased by 0.15%, 0.41%, and 0.34%, RMSECV decreased by 0.53%, 0.32%, and 0.24%, R2P increased by 0.21%, 0.63%, and 0.35%, RMSEP decreased by 0.36%, 0.41%, and 0.31%, and RPD increased by 1.1, 0.9, and 0.6, significantly improving the predictive capacity of the model. …”
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Longitudinal development of career adaptability in pre-service teachers: the impact of internship experiences and emotion regulation strategies by Huimei Wang, Qianqian Ruan, Xian Liu, Hongyu Long, Zhaolong Guo, Yan Wang, Dongliang Ma

“…The results of the latent growth model showed significant increases in career concern, control, and curiosity over time, whereas career confidence exhibited a gradual decline. …”
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Expanding team-based care for hypertension and cardiovascular risk management with HEARTS in the Americas by Vilma Irazola, Carolina Prado, Andres Rosende, David Flood, Ross Tsuyuki, Carolina Neira Ojeda, Matias Villatoro Reyes, Johanna Otero, Irmgardt Alicia Wellmann, Ileana Fajardo, Emily Ridley, Esteban Londoño, Gloria Giraldo, Edwin Bolastig, Bruna Moreno Dias, Nicolas Haeberer, Pedro Ordunez

“…In Latin America and the Caribbean, hypertension affects more than 30% of adults, yet control rates remain alarmingly low. The HEARTS in the Americas Initiative, led by the Pan American Health Organization, promotes a model of team-based care to enhance risk management for hypertension and cardiovascular diseases within primary health care. …”
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Rail Corrugation Detection of High-Speed Railway Using Wheel Dynamic Responses by Jianbo Li, Hongmei Shi

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PUMPING PRESSURE AND FLOW RATE RELATIONSHIP TO REDUCE ENERGY CONSUMPTION IN IRRIGATION SYSTEMS by Esmeralda CHIORESCU

“…To ensure the necessary flow, the PPS are automated with Supervisory control and data acquisition (SCADA) systems, which optimally control the configuration of the electric pumps in operation and their speed. …”
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Disaster Resilience Evaluation of Mountainous Rural Communities: A Case Study of Representative Villages in the Anning River Basin, Liangshan Prefecture by Wu Yuanfei, Liu Mengying, Tian Bingwei, Tian Renjie, Hu Yifan

“…Pressure resilience was predominantly influenced by the proximity to active faults (C2) and population exposure to geological hazards (C6), whereas response resilience relied on disaster-monitoring equipment (C26) and early warning efficiency (C27). (3) A synergistic optimization strategy was proposed, emphasizing risk zoning and engineering controls (pressure layer), housing retrofitting and social capital cultivation (state layer), and intelligent early warning systems integrated with indigenous knowledge (response layer). …”
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The influence of surface rocking motion on the dynamic responses of drillstring during horizontal well drilling by Liu Yang, Chen Sitong, Wei Shuyong, Tao Haijun, Xiang Xingyun, Ma Tianshou

“…Finally, response surface methodology is adopted for identifying an optimal parameter regime. This work provides actionable guidelines for modulating rocking parameters to balance drag reduction with toolface control.…”
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Mathematical Analysis of the Role of HIV/HBV Latency in Hepatocytes by Hasifa Nampala, Matylda Jablonska-Sabuka, Martin Singull

“…Viral coinfection coupled with lifelong treatment of HIV/HBV necessitates investigation for the optimal control strategy. We propose a coinfection mathematical model with delay and use optimal control theory to analyse the effect of viral latency in hepatocytes on the dynamics of HIV/HBV coinfection. …”
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Machine learning-based approach for reduction of energy consumption in hybrid energy storage electric vehicle by T. Paulraj, Yeddula Pedda Obulesu

“…Additionally, SC assistance leads to smoother traction motor torque, reduced current ripple, and optimized power delivery. A comprehensive model is developed and tested in Simscape to confirm the real-time applicability of this data-driven control strategy for electric vehicles.…”
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A Multi-Mode Dynamic Fusion Mach Number Prediction Framework by Luping Zhao, Weihao Li, Wentao Xu

“…First, single-mode segmented prediction models are constructed on the basis of Multi-output Support Vector Regression (MSVR), with hyperparameters optimized to capture the characteristics of individual modes. …”
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Study on carbon emission accounting and emission reduction path of coal production in coal mine by Xinbo GU, Weidong PAN, A SIhaer Niyazibieke, ‌Zhining ZHAO, Shaohua FENG, Yiwei LI, Jie HUANGFU, Xiaohua WU

“…With the continuous advancement of the dual-carbon strategy, the industry regulatory model will gradually change from the current “energy dual control” to “carbon emission dual control” and emission reduction will become a firm principle. …”
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Development of a novel risk score for diagnosing urinary tract infections: Integrating Sysmex UF-5000i urine fluorescence flow cytometry with urinalysis. by Vo Anh Vinh Trang, Thien Tan Tri Tai Truyen, Minh Thuan Nguyen, Huu Phong Mai, Tri Cuong Phan, Son Hoang Phan, Han My Le Nguyen, Huong-Dung Thi Nguyen, Nguyen Hai Dang Le, Man Nhi Tu, Vo Thanh Vi Huynh, Hoang Tram Anh Nguyen, Dac Bao Han Ho, Ngoc Thuy Uyen Tran, Nguyen Ha Uyen Tran, Bich-Nhat Thi Le, Duc Tuan Doan, Huu Doan Pham, Truong Bao Phan, Phu Phat Pham, Tuan Vinh Nguyen, Phuc Cam Hoang Nguyen

“…For validation, retrospective cases from July to December 2022 were selected with matching controls. Using urine culture as the gold standard, the predictive model was developed with backward stepwise logistic regression. …”
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The use of artificial intelligence and knowledge management in improving corporate governance a case study of mapna company by Somayyeh Tahanpour, Vahid Araei, Mazyar Azimzadeh Irani, Aliasghar Pourezat

“…This concept deals with the way of managing and controlling an organization and its main goal is to ensure transparency, accountability and fairness in corporate decisions. …”
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Green Energy Generation in Buildings: Grid-Tied Distributed Generation Systems (DGS) With Energy Storage Applications to Sustain the Smart Grid Transformation by Antonio Sanchez-Squella, Fernando Yanine, Aldo Barrueto, Antonio Parejo

“…The paper presents a new model based on energy homeostasis for power control and energy management using tariffs differentiation as incentive, considered by ENEL, the largest electric utility in Chile. …”
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DYNAMIC PLANNING INDICATORS FOR OPTIMISING THE ENERGY MODERNISATION OF RESIDENTIAL HOUSING STOCK by S. K. Bayramukov, Z. N. Dolaeva, M. B. Kappusheva

“…A generalised method for optimal control of the housing stock is implemented on the basis of the provided schema for dynamic scheduling of the optimal distribution of funds for energy-saving measures.…”
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Learning atomic forces from uncertainty-calibrated adversarial attacks by Henrique Musseli Cezar, Tilmann Bodenstein, Henrik Andersen Sveinsson, Morten Ledum, Simen Reine, Sigbjørn Løland Bore

“…While already providing great practical value, little is known about the actual prediction errors of MLIPs on adversarial structures and whether these errors can be controlled. We propose the Calibrated Adversarial Geometry Optimization (CAGO) algorithm to discover adversarial structures with user-assigned errors. …”
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Cascading fault path prediction of large-scale wind power grid-connected system based on bi-level multi-objective decision by WU Yuhang, LIU Xiangyu, WANG Tao, GU Xueping

“…The model takes the fault probability and fault consequence as the upper and lower decision-making objectives respectively, and determines the qualified cascading fault path set according to the Pareto optimal solution of the subsequent fault. …”
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Balancing the piezoelectric coefficient and carrier concentration of Bi2WO6−x for ultrahigh piezocatalysis by Ying Wang, Xiaoli Xu, Lingbo Xiao, Lutao Li, Qiuhua Xu, Zhenhai Wen, Laishun Qin, Yanmin Jia, Dong-Liang Peng, Wanping Chen, Da Chen

“…By controlling the solvothermal time and temperature, the oxygen vacancy concentration (COV) was regulated. …”
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Signal Processing and Feature Extraction in Markerless Telerehabilitation by Silvana G. Dellepiane, Federica Ferraro, Camilla Baffigo, Marina Simonini

“…By utilizing a diverse healthy subject group, a reference model is established, providing optimal features for accurate exercise execution. …”
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Computer Simulation of the Thin Film’s Growth Process during Thermal Vacuum Evaporation by T. Su. Chu

“…The thin film’s growth process in intermediately (Stranski-Krastanov) mode was simulated based on Monte Carlo method for determination of active particles’ number, and quasi-Newtonian lattice method for determination of optimal direction of particles’ motion. On this model in any given conditions the fractal growth process was analyzed. …”
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