The dynamic management of nursing resource in nursing management of private hospitals (动态人力资源管理在私立医院护理管理中的应用研究) by XU Wenyan (徐文彦)

“…In this paper, the dynamic management of nursing resource recruitment, with the purpose of a full range of training and transfer the nurse resources rationally, to achieve the optimal use, the optimal distribution and optimal service, thereby alleviating the deficiency of nursing resource in private hospitals, improve the ability of handling emergency manpower deployment, improve nurses' satisfaction and patient satisfaction, improve service quality, eventually improve the market competitiveness, improve the efficiency of the hospital. …”
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Aspirin Exerts Its Antitumor Effect in Esophageal Squamous Cell Carcinoma by Downregulating the Expression of ATAD2 and KIF4A by Man Zhang, Zhenzhen Ren, Xianzeng Wang, Cong Liu, Zhaoyang Zheng, Junwei Zhao, Hongchun Liu

“…Western blot and RT-qPCR were used to detect the interference efficiency and KIF4A expression after si-ATAD2 transfection in EC109 and KYSE30 cells. …”
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NBDNet: A Self-Supervised CNN-Based Method for InSAR Phase and Coherence Estimation by Hongxiang Li, Jili Wang, Chenguang Ai, Yulun Wu, Xiaoyuan Ren

“…The results demonstrate that NBDNet performs well in terms of noise suppression, detail preservation and computation efficiency, validating its potential for high-precision and high-resolution topography reconstruction.…”
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Experimental verification of the six sectors neural DTC approach of squirrel cage induction motors by Abdessmad Milles, Habib Benbouhenni, Noureddine Bensedira, Nicu Bizon, Naamane Debdouche, Ilhami Colak, Ghoulemallah Boukhalfa, Z. M. S. Elbarbary, Mohammed M. Alammar

“…The results obtained showed a high ability of the six sectors’ NN-DTC approach to significantly enhance the quality of torque and current, which confirms the competence of using NNs. …”
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Dense dynamic convolutional network for Bel canto vocal technique assessment by Zhenyi Hou, Xu Zhao, Shanggerile Jiang, Daijun Luo, Xinyu Sheng, Kaili Geng, Kejie Ye, Jiajing Xia, Yitao Zhang, Chenxi Ban, Jiaxing Chen, Yan Zou, Yuchao Feng, Xin Yuan, Guangyu Fan

“…Convolutional Neural Networks (CNNs), renowned for their robust ability to capture spatial hierarchical information, have been widely adopted in various tasks, including audio pattern recognition. …”
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Applicability of China’s First Generation of Global Land Surface Reanalysis Monthly Precipitation Products in the Yangtze River Basin by WANG Wen-peng, ZHANG Xin-yue, CUI Jun-hao, WU Guang-dong, ZHANG Tian-yu, LIU Bo

“…The correlation coefficients of monthly data all exceed 0.9. Nevertheless, the efficiency coefficients during the main flood season (July and August) are below 0.9, slightly lower than those in other months. …”
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Optimizing Virtual Power Plants with Parallel Simulated Annealing on High-Performance Computing by Ali Abbasi, Filipe Alves, Rui A. Ribeiro, João L. Sobral, Ricardo Rodrigues

“…Rigorous simulations highlight the method’s ability to reduce optimization time, maintain solution quality, and scale efficiently, facilitating real-time decision making in energy markets. …”
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Prediction of Reservoir Flow Capacity in Sandstone Formations: A Comparative Analysis of Machine Learning Models by Micheal Ayodeji Ogundero, Taiwo Adelakin, Kehinde Orolu, Isaac Femi Johnson, Theophilus Akinfenwa Fashanu, Kingsley Abhulimen

“…The algorithms were selected for their ability to model complex relationships in reservoir characterization, with Random Forest excelling in high-dimensional data handling, ANN in pattern learning, and SVR in regression-based predictions.  …”
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USE OF A NUMERICAL ANALYTICAL MODEL FOR ASSESSING THE FUNCTIONAL EFFECTIVENESS OF AN INFORMATION PROTECTION SYSTEM BY ANALYSING ITS PROBABILISTIC-TEMPORAL CHARACTERISTICS by V. P. Alferov, A. V. Butskikh, A. V. Krisilov, A. D. Popov, E. A. Rogozin

“…The main advantages of this software environment consist in a high level of visualisation, the ability to modify models to analyse other systems of this type and the availability of integration tools with other software products.Results. …”
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Machine learning techniques in monitoring and controlling friction stir welding process: a critical review by Bhardwaj Kulkarni, Saurabh Tayde, Yashwant Chapke, Swapnil Vyavahare, Avinash Badadhe

“…Abstract The friction stir welding (FSW) technique is a solid-state joining method that presents numerous advantages compared to conventional welding techniques, including enhanced mechanical joint efficiency and the ability to join challenging materials such as aluminium and magnesium. …”
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Verification of a Probabilistic Model and Optimization in Long-Range Networks by José Luis Romero Vázquez, Abel García-Barrientos, José Alberto Del-Puerto-Flores, Francisco R. Castillo Soria, Roilhi F. Ibarra-Hernández, Ulises Pineda Rico, Ernesto Zambrano-Serrano

“…Specifically, it focuses on determining the optimal transmission power required to balance energy efficiency and communication reliability. A distinctive feature of the analysis is its ability to adapt dynamically to varying network conditions, ensuring sustained performance even in environments with high node density or fluctuating traffic loads. …”
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Semantic enhancement and change consistency network for semantic change detection in remote sensing images by Zhenghao Jiang, Biao Wang, Peng Zhang, Yanlan Wu, Zhiyuan Ye, Hui Yang

“…By enhancing the model's ability to extract semantic information from complex land-cover classes, we incorporate multi-scale adaptive modules, leveraging the efficient zero-shot capability of SAM2. …”
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CASSAD: Chroma-Augmented Semi-Supervised Anomaly Detection for Conveyor Belt Idlers by Fahad Alharbi, Suhuai Luo, Abdullah Alsaedi, Sipei Zhao, Guang Yang

“…Idlers are essential to conveyor systems, as well as supporting and guiding belts to ensure production efficiency. Proper idler maintenance prevents failures, reduces downtime, cuts costs, and improves reliability. …”
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Training requirements for agro-food industry in Portugal by Pedro D. Gaspar, Rita Pinheiro, Claudia Domingues, Celestino Almeida, Teresa Paiva, Carlos D. Pereira, Manuela Vaz Velho

“…Agro-food companies are aware that the technical and soft skills of their employees directly influence business performance and, consequently, improving those skills will enhance the effectiveness and efficiency of their companies. This paper presents the main results of the AgriTraining project “Training requirements for the agro-food industry”. …”
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Presenting a multi-objective decision-making model for cost-time trade-off considering the time value of money and solving it using particle swarm optimization by Mohammadreza Shahriari

“…The model is then solved using the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm to analyze the effects of time compression and activity delays on the outcomes.Findings:  The proposed model's results demonstrate its ability to optimize project resource usage by considering current constraints and capacities. …”
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Flexible Load Stochastic Optimal Control of Wind Power-Based Hydrogen Production and Ammonia Synthesis Systems Based on the Itô Process by Guoshan YANG, Jie ZHU, Wenqin SONG, Yiwei QIU, Buxiang ZHOU

“…The case study shows that, compared with deterministic control, the proposed method fully takes advantage of the flexible production of ammonia synthesis and greatly improves the ability of P2A Load to consume the fluctuating wind power.…”
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Taking into account students' psychotypes and using their neuropsychological maps when implementing digital educational technologies within the Metaverse by Galiya Ldokova, Svetlana Frumina, Suad Abdalkareem Alwaely

“…The results of the study can be used to optimize and increase the efficiency of the educational process through the implementation of Metaverse technologies. …”
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Prospects and challenges of energy storage materials: A comprehensive review by Md Mir Shakib Ahmed, Md. Jahid Hasan, Md. Shakil Chowdhury, Md Khaledur Rahman, Md Saiful Islam, Md Shakhawat Hossain, Md. Aminul Islam, Nayem Hossain, Md Hosne Mobarak

“…Through promoting collaboration among scientists, engineers, policymakers, and industry stakeholders, we can address existing constraints, improve energy efficiency, and advance the ability of the energy sector to withstand challenges. …”
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Synergistic enhancement of heavy metal tolerance and reduction by indigenous bacterial consortia of Pseudomonas putida and Pasteurella aerogenes by Karzan Qurbani, Hevy Wsw, Rahel Khdhr, Safin Hussein, Bahra Ibrahim, Avin Mahmood, Lanya Hama, Frishta Ibrahim, Omid Amiri

“…Research will evaluate the consortium’s ability to reduce copper (Cu), zinc (Zn), and nickel (Ni) concentrations in different environments. …”
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Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network by Tianpeng Zhang, Pengfei Ji, Dayong Tian, Rui Xu

“…The indicators of the IPSO-BP model were significantly better than those of the GA-BP model and the BP model, indicating that IPSO-BP model had better generalization ability and could predict COD concentration more effectively. …”
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