Unsupervised Learning for Distributed Downlink Power Allocation in Cell-Free mMIMO Networks by Mattia Fabiani, Asmaa Abdallah, Abdulkadir Celik, Omer Haliloglu, Ahmed M. Eltawil

“…Furthermore, an LSF-based radio unit (RU) selection algorithm is employed to activate only the contributing RUs, allowing efficient utilization of network resources. …”
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Invasive common milkweed strongly simplifies insect flower-visiting networks by Edina Török, Riho Marja, Ágota Réka Szabó, Róbert Gallé, Péter Batáry

“…Functional complementarity and the cluster coefficient of networks were significantly higher in milkweed-invaded areas compared to control areas during milkweed flowering. …”
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Research on Data Repair of Pile-Type Adjustable Wind Turbine Foundation Monitoring Based on FST-ATTNet by WEI Huanwei, ZHAO Jizhang, ZHENG Xiao, TAN Fang, LIU Cong

“…Removing all attention mechanisms results in further performance degradation, with <italic>R</italic>² of 0.90 and <italic>MSE</italic> of 1.20, highlighting their importance in the prioritization of selective features. Removing the KAN network results in <italic>R</italic>² of 0.92 and <italic>MSE</italic> of 1.09, indicating its contribution to modeling complex time series patterns. …”
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Research and application of dynamic simulation method for water accumulation in goaf by Guijin BIAN

“…After the mining of the coal mining face is completed, the internal environment of the goaf formed is complex, and it is very difficult to accurately detect the range of accumulated water and calculate the amount of accumulated water. …”
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Intra- and Inter-Examiner Reliability of Kinovea for Hip Flexion Angle Measurement During Straight Leg Raise Test by Gabriel Rabanal-Rodríguez, Marcos José Navarro-Santana, Juan Antonio Valera-Calero, Ana Muñoz-Rodríguez, Elías Hernández-González, Gustavo Plaza-Manzano

“…Intra- and inter-examiner reliability were assessed using the Intraclass Correlation Coefficient (ICC), Standard Error of Measurement (SEM), and Minimal Detectable Change (MDC). …”
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Comparison of the Regression Method and The Neural Network Method in Specific Cases of Engineering Practice by Križan Peter, Svátek Michal, Matúš Miloš, Hanko Lukáš

“…The aim of the analysis was to create models for both selected statistical methods that would sufficiently describe the given process and subsequently compare them. …”
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The use of big data on the labor market in HR business processes of organizations in the Republic of Belarus by Alena V. Vankevich, Iryna N. Kalinouskaya

“…A significant regional differentiation of wages was revealed (coefficient of variation 23.8 %), while the average wages in the metropolitan region exceeds the national average ones by 25 %. …”
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Dynamic Characteristics Analysis of the DI-SO Cylindrical Spur Gear System Based on Meshing Conditions by Yong Zhu, Shida Zhang, Shengnan Tang, Zhengxi Chang, Renyong Lin, Lingbo Zhang

“…In practical operation, the stability of the DI-SO cylindrical spur gear system is influenced by complex excitations. These excitations lead to nonlinear vibration, meshing instability, and noise, which affect the performance and reliability of the entire equipment. …”
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Solving Phosphorus Fertilization-Related Drip Irrigation Emitter Clogging by Adding Mn²⁺ by Tianyu Xu, Sanlin Bao, Qiuyue Yu, Yu Gao

“…The new precipitates were generated, which caused more severe and complex blockage of drip irrigation emitters. Songhua River water was selected as the irrigation water. …”
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Development and Evaluation of Machine Learning Models for Air-to-Land Temperature Conversion Using the Newly Established Kunlun Mountain Gradient Observation System by Yongkang Li, Qing He, Yongqiang Liu, Amina Maituerdi, Yang Yan, Jiao Tan

“…The results demonstrated that the CatBoost algorithm outperformed the others under complex terrain and climatic conditions, achieving a coefficient of determination (R²) of 0.997 and the lowest root mean square error (RMSE) of 0.627 °C, indicating superior robustness and accuracy. …”
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Speckle Noise Removal in OCT Images via Wavelet Transform and DnCNN by Fangfang Li, Qizhou Wu, Bei Jia, Zhicheng Yang

“…The quality of OCT images is a crucial factor influencing diagnostic effectiveness, highlighting the importance of OCT image denoising. (2) Methods: The OCT image undergoes a Discrete Wavelet Transform (DWT) to decompose it into multiple scales, isolating high-frequency wavelet coefficients that encapsulate fine texture details. These high-frequency coefficients are further processed using a Shift-Invariant Wavelet Transform (SWT) to generate an additional set of coefficients, ensuring an enhanced feature preservation and reduced artifacts. …”
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AASNet: A Novel Image Instance Segmentation Framework for Fine-Grained Fish Recognition via Linear Correlation Attention and Dynamic Adaptive Focal Loss by Jianlei Kong, Shunong Tang, Jiameng Feng, Lipo Mo, Xuebo Jin

“…However, underwater fish recognition faces challenges in complex aquatic environments, which hinder accurate detection and behavioral analysis. …”
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Study on the fusion of improved YOLOv8 and depth camera for bunch tomato stem picking point recognition and localization by Guozhu Song, Jian Wang, Rongting Ma, Yan Shi, Yaqi Wang

“…The experimental results demonstrate that the algorithm accurately identifies and locates the picking points of string tomatoes under complex background conditions, with the identification success rate of the picking points reaching 91.3%. …”
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Sabot Discard Characteristics under Different Spin Rates of the Rifled Barrel Launching APFSDS by Chengqing Zhang, Huiyuan Wang, Ting Liu, Yingxian Duo

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Comparative study of Normal-phase versus reversed-phase HPTLC methods for the concurrent quantification of three antiviral agents against COVID19: Remdesivir, favipiravir and Molnu... by Dina Salah El-Kafrawy, Amira H. Abo-Gharam

“…Abstract The pursuit of sustainability in analytical chemistry is a multifaceted, challenging and complex endeavor. This requires continuous and competitive attempts to achieve the sustainable development goals at every step of the analytical methodology by adhering to the principles of green, blue and white analytical chemistry. …”
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Network analysis of depression emotion suppression digital burnout and protective psychological factors by Yuting Zhan, Xu Ding

“…Abstract This study employed network analysis to investigate the complex relationship between emotion regulation strategies and depression, with particular focus on digital burnout as a contemporary stressor and the moderating role of various psychological protective factors. …”
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Analysis of Hg(II) Metal by Voltammetric Method Using a Carbon Electrode Modified with EDTA from Used Tire Waste by Sukoma Sukoma, Sagir Alva, Eka Safitri, Julinawati Julinawati, Mustanir Mustanir, Syafrizal Fonna, Muhammad Ihsan, Fitri Dara, Meri Dayanti, Ahmad Kamal Arifin, Khairi Suhud

“…EDTA plays a role in metal complexation due to its strong response to mercury metal. …”
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Modeling Organizational Justice and Job Satisfaction with the Mediating Role of Organizational Indifference by Ali soboohi, hadi hematian, Abolfazl danaee

“…Therefore, studying occupational behavior is one of the most difficult and complex tasks due to the multiplicity and overlap of variables that affect human behavior, interrelationships, and the instability of these variables. …”
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Influence of the nature of organic solvents on the process of separation of antioxidative additive in a transformer oil by a gas-chromatographic method by Duy Hung Nguyen, Yu. V. Snigireva, A. V. Taneeva, V. F. Novikov

“…The dependence of the relative retained volume of aliphatic alcohols on the selectivity coefficient of separation with Ionol is linear. …”
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State of Health Estimation for Lithium-Ion Batteries Based on TCN-RVM by Yu Zhao, Yonghong Xu, Yidi Wei, Liang Tong, Yiyang Li, Minghui Gong, Hongguang Zhang, Baoying Peng, Yinlian Yan

“…Firstly, five health factors are extracted from IC curves, and the strong correlation between these features and SOH is verified using both Pearson and Spearman coefficients, ensuring the physical rationality and statistical significance of feature selection. …”
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