The Transformative Influence of Artificial Intelligence on Supply Chain Management by Tarihal Balakrishna, Kaliwal Rohit, Ammanagi Ashok

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Performance evaluation of anti-avalanche measures at the «Krasnaya Polyana» ski resort by D. I. Korovina, A. S. Turchaninova, S. A. Sokratov

“…For the first time, a qualitative and quantitative evaluation of the effectiveness of anti-avalanche measures was carried out for the territory of the «Krasnaya Polyana» ski resort, located in the Western Caucasus on the Aibga ridge. …”
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Multi-Objective Optimization of Daylighting–Thermal Performance in Cold-Region University Library Atriums: A Parametric Design Approach by Yunong Gao, Shuting Zhao, Yong Huang, Hui Pan

“…This paper aims to explore the quantitative law of design elements on light–heat balance at the early stage of architectural design and to provide a theoretical basis and reference blueprint for improving the comprehensive decision-making ability of architects in sustainable design and realizing integrated and efficient program decision-making.…”
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Identification of the key material degradation mechanisms affecting silicon solar cells: Systematic literature review by Eshetu Tadesse Ymer, Hirpa Gelgele Lemu, Mesay Alemu Tolcha

“…Specific degradation mechanisms include Potential-Induced Degradation, which can cause up to 30% efficiency loss by reducing short-circuit current density and open-circuit voltage, and Light-Induced Degradation, contributing up to 10% efficiency reduction. …”
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A Lightweight Semantic- and Graph-Guided Network for Advanced Optical Remote Sensing Image Salient Object Detection by Jie Liu, Jinpeng He, Huaixin Chen, Ruoyu Yang, Ying Huang

“…This module incorporates non-local operations under graph convolution domain to deeply explore high-order relationships between adjacent layers, while utilizing depth-wise separable convolution blocks to significantly reduce computational cost. Extensive quantitative and qualitative experiments demonstrate that the proposed model achieves excellent performance with only 2.70 M parameters and 1.38 G FLOPs, while delivering an impressive inference speed of 108 FPS, striking a balance between efficiency and accuracy to meet practical application needs.…”
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Optimum Design of a Photovoltaic Inverter System Based on Ga, Pso and Gwo Algorithms with a Mppt Sliding Mode Control by Alberto Coronado-Mendoza, Mónica Camas-Náfate, Jesús Sergio Artal-Sevil, José Antonio Domínguez-Navarro

“…However, the performance of these systems is highly influenced by atmospheric conditions and load variations, necessitating the development of performance indices to enhance their efficiency and energy quality. In this study, four performance indices are proposed to evaluate the efficiency and energy quality of photovoltaic systems quantitatively. …”
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Effect of microscopic pore–throat structure heterogeneity on waterflooding seepage characteristics of tight sandstone reservoirs by Zhang Quanpei, Yang Chen, Tian Yu, Liu Hui, Xiao Wen, Wang Zhikun, Mi Zhongrong, Li Zheyu, Huo Yong, Li Yong, Min Jie, Zhang Duoduo, Chen Linzi, Duan Qiong

“…In this study, 13 cores from the Dingbian area of the Ordos Basin were examined using casting thin sections, X-ray diffraction, high-pressure mercury injection (HPMI), and nuclear magnetic resonance (NMR). These analyses quantitatively characterized mineral composition, petrophysical properties, PTS heterogeneity, and fluid mobility. …”
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REALIZING SCIENTIFIC POTENTIAL OF UNIVERSITY OF ECONOMICS ('10 SCIENTIFIC LEADERS' MODEL) by Irina A. Kalinina

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INTEGRATED APPROACH TO ANALYSING THE RELATIONSHIP BETWEEN FACTORS, WORKING CONDITIONS, AND PERFORMANCE INDICATORS IN THE FOREIGN MARKET ENTRY OF RUSSIAN SMES by T. A. Gileva

“…It also examines methods for assessing export efficiency, both quantitative and qualitative. The result is a landscape of quality models linking factors and working conditions to the performance of Russian export-oriented SMEs, comprising four primary models, is created.…”
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The Use of Artificial Intelligence Technologies in Energy and Climate Security by Igbal A. Guliev, Agil Mammadov, Kanan Ibrahimli

“…The concept of parametric optimization (PO) is used as an effective method for solving the applied problem of testing the hypothesis of managing energy costs and energy efficiency based on AI in order to achieve optimal performance of the technical system and compliance with the Sustainable Development Goals (SDGs) in the field of climate security. …”
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Environmental sustainability and management (ES & EM) practices among Service Sector Institutions in Kathmandu, Nepal by Sindhu Karki, Pratik Karki, Prakat Karki

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Enhancing underwater acoustic communication networks with RIS: Precise performance analysis over κ − μ shadowed fading distribution by Moloy Kumar Ghosh, Mostafa Zaman Chowdhury

“…This study also evaluates another important performance metric, Energy Efficiency (EE), which is vital for UAC networks with constrained power sources. …”
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Impact of ultraviolet radiation on filtering facepiece respirators and SARS-CoV-2 detection by Khaled Al-Hadyan, Najla Al-Harbi, Sara Bin Judia, Maha Al-Ghamdi, Ibtihaj Alsharif, Layla Alharbi, Maha Al-Mozaini, Belal Moftah, Belal Moftah, Salem Al-Ghamdi, Ghazi Alsbeih, Ghazi Alsbeih

“…This study aims to evaluate the impact of UV-C irradiation on the filtration efficiency (FE) of various FFR types and SARS-CoV-2 RNA degradation.MethodWe evaluated the effect of UV-C irradiation (60–900 mJ/cm2) on the FE using various particle sizes (PSs, 0.3–5 μm) representing seven common FFR types (3M-8210, 3M-1860, Gerson 1730, Medline, Benehal, KN95 “duck shape,” and KN95 “molded shape”) and the stability of the SARS-CoV-2 RNA genes (E, RdRp2, RdRp4, and N) using reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR).ResultsFollowing UV-C exposure, the FE of the FFRs at all PSs was >98%, with no significant differences among them (p > 0.05). …”
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Binocular Video-Based Automatic Pixel-Level Crack Detection and Quantification Using Deep Convolutional Neural Networks for Concrete Structures by Liqu Liu, Bo Shen, Shuchen Huang, Runlin Liu, Weizhang Liao, Bin Wang, Shuo Diao

“…Results indicate that, by incorporating channel attention and spatial attention mechanisms in the MBConv module, the detection accuracy of the improved EfficientNetV2 increased by 1.6% compared with the original EfficientNetV2. …”
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THERMAL EFFECTIVENESS OF THE GAS FLOW VORTICAL HEAT-RELEASE INTENSIFICATION AT AXIAL AND TRANSVERSAL FLOWING-AROUND THE ROUND-TUBULAR SURFACES. Part 1 by V. B. Kuntysh, A. V. Sukhotskiy, A. V. Yatsevich

“…Coefficient estimates the thermal effectiveness quantitatively and represents the relation of heat-emission coefficients of surface i being examined to basesurface k assumed standard. …”
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Frequency Spectrum Adaptor for Remote Sensing Image–Text Retrieval by Ziyi Wan, Enyuan Zhao, Jie Nie, Ze Zhang, Zhiqiang Wei, Nan Zheng, Yuting Zhao

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Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications by Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique

“…The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards more efficient approaches. Neuromorphic Continual Learning (NCL) appears as an emerging solution, by leveraging the principles of Spiking Neural Networks (SNNs) and their inherent advantages (e.g., sparse spike-driven operations and bio-plausible learning rules) for improving energy efficiency and performance, thereby enabling efficient CL algorithms (e.g., unsupervised learning approach) executed in dynamically-changed environments with resource-constrained computing systems. …”
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Prediction of coal dust particle size after spraying dust reduction in roadway based on orthogonal experiment and regression analysis by Bingyou JIANG, Yuqian ZHANG, Changfei YU, Ben JI, Haoyu WANG, Zhuang LIU

“…The results show that: the coal dust D90 after spray dust reduction decreases with the increase of the distance from the dust source to the spray frame, increases and then decreases with the increase of wind speed, and increases with the increase of water supply pressure, and there is a strong positive correlation between full dust, exhaled dust reduction efficiency and D90, the better the spray dust reduction effect, the larger the coal dust D90 after spray dust reduction; the weighting-based prediction model of coal dust D90 after dust spraying has higher accuracy and smaller error, and can accurately characterize the quantitative relationship between coal dust D90 after dust spraying and three influencing factors, namely, the distance of the spray frame from the dust source, the wind speed of the roadway, and the water supply pressure of the nozzle.…”
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Optimizing Virtual Power Plants Cooperation via Evolutionary Game Theory: The Role of Reward–Punishment Mechanisms by Lefeng Cheng, Pengrong Huang, Mengya Zhang, Kun Wang, Kuozhen Zhang, Tao Zou, Wentian Lu

“…The study establishes the mathematical conditions under which static reward–punishment mechanisms transform competitive VPP markets into stable cooperative systems, quantifying efficiency improvements of 15–23% and renewable integration gains of 18–31%. …”
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Energy Security of Local Government Units in the Face of the Energy Crisis in 2022–2023 by Sławomir Stec, Elżbieta Jadwiga Szymańska, Jolanta Stec-Rusiecka, Kornelia Osieczko-Potoczna, Artur Stec

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