Expert assessment of the effectiveness of measures to improve working conditions in foundries by A. M. Lazarenkov, M. A. Sadokha, T. P. Kot

“…Four classes of foundries have been established according to working conditions, which are determined by a complex of factors of the production environment. …”
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Structure-guided drug repurposing identifies aristospan as a potential inhibitor of β-lactamase: insights from virtual screening and molecular dynamics simulations by Moyad Shahwan, Moyad Shahwan, Mohd Shahnawaz Khan, Azna Zuberi, Nojood Altwaijry, Anas Shamsi

“…To explore the interactions further, the best docking pose of Aristospan was selected for MD simulations to assess the thermodynamic stability of the drug-enzyme complex and its conformational changes over 500 ns. …”
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Differentiated GNSS Baseband Jamming Suppression Method Based on Classification Decision Information by Zhongliang Deng, Zhichao Zhang, Xiangchuan Gao, Peijia Liu

“…In complex urban electromagnetic environments, wireless positioning signals are subject to various types of interference, including narrowband, chirp, and pulse jamming. …”
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Application of Convolutional Neural Networks in Animal Husbandry: A Review by Rotimi-Williams Bello, Roseline Oluwaseun Ogundokun, Pius A. Owolawi, Etienne A. van Wyk, Chunling Tu

“…This paper aims to comprehensively review recent advancements and applications of relevant models that are based on CNNs for livestock health monitoring, covering the detection of their various diseases and classification of their behavior, for overall management gain. We selected relevant articles with various experimental results addressing animal detection, localization, tracking, and behavioral monitoring, validating the high-performance accuracy and efficiency of CNNs. …”
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Rational well spacings for CO2 miscible flooding based on superposed relationships between connected sand bodies by JI Yingchun

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Container Liner Shipping System Design Considering Methanol-Powered Vessels by Zhaokun Li, Xinke Yu, Jianning Shang, Kang Chen, Xu Xin, Wei Zhang, Shaoqiang Yu

“…While methanol, including both green and gray methanol, offers environmental benefits, its lower energy density introduces operational complexities. Motivated by the aforementioned background, we establish a bi-level programming model. …”
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Load balancing based on clustering analysis and deep learning for multi-frequency and multi-mode network by Yaxing QIU, Xidong WANG, Sen BIAN, Lei YUE

“…Load balancing is a huge challenge for LTE multi-frequency and multi-mode network.Hundreds of parameters are involved in load balancing for the complex network structure.Therefore,it is difficult to perform precise and meticulous configuration only relying on human experience.In order to cope with the challenge,a load balancing scheme based on clustering analysis and deep learning was proposed.Firstly,the key indicators were selected to identify the network scenes,and then big data and deep learning technologies were used to mine the relationship between data.Finally,the optimum system parameters for different network scenes were found.It has been proved that machine learning technology can greatly improve the accuracy and the efficiency of parameter configuration.…”
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ECONOMIC EVALUATION OF THE EFFECT OF THE APPLICATION OF BIOSTIMULANTS ON SPRING RAPE AND OATS by Angel SAROV, Krasimir KOSTENAROV

“…In a methodological aspect, linear modeling is applied in order to optimize the production structure of a selected agricultural holding. It is concluded that biostimulants have a positive effect on yield and biometrics of treated crops, but the complex economic effect on farm profit is organic.…”
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Technical and Economic Assessment of Technologies for Forage Land Improvement by A. V. Lavrov, A. Kh. Tekushev, S. A. Davydova

“…For a comprehensive technical and economic assessment of traditional, intensive and high-intensity technologies, as well as machine complexes used in forage crop production, the following indicators are selected: labor costs, fuel consumption, metal usage, and specific energy consumption. …”
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Deciphering dengue: novel RNA barcoding segments for enhanced serotype-specific identification and global surveillance of dengue viruses by Shuai Jiang, Gaili Zhao, Yunyun Ding, Shunxing Ye, Zeqi Li, Changqiao You, Yan Yin, Xinhong Guo

“…We designed and used the “Barcoding” software to streamline segment design, integrating automated sequence preprocessing, evaluation of barcode segments, and primer design, significantly reducing manual intervention and enhancing overall efficiency. We also established an online database called “Barcodes” for storing and preparing barcode segments.ConclusionThis work established a standard framework for DENV identification and barcode segment selection, promising significant advancements in the real-time management and control of DENVs, thereby enhancing surveillance capabilities and facilitating targeted interventions in dengue outbreak-prone regions.…”
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Decoupling Technique Using Ferrite-Film Loading for 5G MIMO Applications by Di Wu, Yang Qiu, Guoliang Yu, Rongdi Guo, Guohua Wu, Jiawei Wang, Yi Zhang, Mingmin Zhu, Hao-Miao Zhou

“…Decreasing the mutual coupling between multiple-input-multiple-output (MIMO) antenna elements requires the selection of an appropriate decoupling technique without changing the geometry or operating frequency of the antenna. …”
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Ortho-NeRF: generating a true digital orthophoto map using the neural radiance field from unmanned aerial vehicle images by Shihan Chen, Qingsong Yan, Yingjie Qu, Wang Gao, Junxing Yang, Fei Deng

“…True Digital Orthophoto Maps (TDOMs) have high geometric accuracy and rich image characteristics, making them essential geographic data for national economic and social development. Complex terrain and artificial structures, automatic distortion elimination and occluded area recovery in TDOM generation pose significant challenges. …”
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Research on COP Prediction Model of Chiller Based on PSO-SVR by Zhou Xuan, Cai Panpan, Lian Sizhen, Yan Junwei

“…Since the difficulty of building mechanism model and the structure of COP model of chiller is complex, greatly affected by operating parameter, a COP prediction model of chiller is proposed based on Support Vector Regression, and the parameters are optimized by Particle Swarm Optimization algorithm. …”
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Artificial Intelligence in Wind Turbine Fault Detection and Diagnosis: Advances and Perspectives by Nejad Alagha, Anis Salwa Mohd Khairuddin, Zineddine N. Haitaamar, Obada Al-Khatib, Jeevan Kanesan

“…The global shift toward renewable energy, particularly wind power, underscores the critical need for advanced fault diagnosis systems to optimize wind turbine reliability and efficiency. While traditional diagnostic methods remain foundational, their limitations in addressing the nonlinear dynamics and operational complexity of modern turbines have accelerated the adoption of Artificial Intelligence (AI)-driven approaches. …”
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Business-catalysts as Drivers of Regional Innovation Systems by Sergey Makarov, Ekaterina Ugnich

“…Continuity of the innovation process depends on the efficiency of individual instruments of implementing innovation and indeed on the entire infrastructure. …”
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Multijunction solar cell parameter estimation based on metaheuristic algorithms by Marwa M. Elzalabani, Doaa M. Atia, Aref Y. Eliwa, Belal A. Abou Zalam, Mahmoud S. AbouOmar

“…MJSCs are highly nonlinear and require precise parameter selection. Several mathematical models exist for MJSC parameter estimation— Single Diode Model (SDM), Double Diode Model (DDM), and Triple Diode Model (TDM)—each offering a trade-off between complexity and accuracy, improved efficiency, and reliable operation. …”
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Influence of Electron Transfer Mediators in the Pd(II)-Catalyzed Oxidative Carbonylation of Aniline by Andrea Vavasori, Lucio Ronchin, Luca Pietrobon, Sara Bravo

“…Testing several Pd(II) complexes, metal cocatalysts, and promoters, we have found that the [PdCl₂(dppf)]/FeCl₃/LiBr = 1/1200/200 (mol/mol) system efficiently catalyzes the carbonylation of aniline to form 1,3–diphenylurea selectively (100%) with a TOF of ca. 1177 h⁻¹. …”
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An energy-balanced multi-sensor scheduling scheme for collaborative target tracking in wireless sensor networks by Pengcheng Fu, Hongying Tang, Yongbo Cheng, Baoqing Li, Hanwang Qian, Xiaobing Yuan

“…From simulation results, it is demonstrated that the proposed node scheduling scheme can not only maintain the preset tracking accuracy but also extend network lifespan with a low computation complexity.…”
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A Survey of Open-Source Tools for Transmission and Distribution Systems Research by Jennifer Appiah-Kubi, Alexander A. Anderson, Hayden M. Reeve

“…Increasing awareness of these available resources seeks to accelerate their broader use, leading to more efficient and standardized grid analysis. This review paper (which is part of a larger survey effort that studied over 400 tools in the transmission, distribution, buildings, and electric vehicles space) outlines selected open-source resources that have been developed in power transmission and distribution systems research. …”
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Detection of Stator Faults in Three-Phase Induction Motors Using Stray Flux and Machine Learning by Ailton O. Louzada, Wesley A. Souza, Avyner L. O. Vitor, Marcelo F. Castoldi, Alessandro Goedtel

“…Feature extraction and selection are performed using a hybrid strategy combining random forest-based ranking and collinearity filtering, optimizing classification accuracy while reducing computational complexity. …”
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