Analyzing the Effects of Sewing Compression on Thermal Efficiency in Baffled Jackets with an Advanced Walking Thermal Manikin by Hassan Saeed, Adnan Ahmed Mazari, Md Tanzir Hasan

“…Thermal resistance and insulation efficiency are evaluated using the Thermetrics thermal manikin “Sonny” under dynamic (walking) conditions to analyze the thermal resistance difference between the two types of sewing methods as well as the effects of motion on insulation. …”
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Enhancing Solar Plant Efficiency: A Review of Vision-Based Monitoring and Fault Detection Techniques by Ioannis Polymeropoulos, Stavros Bezyrgiannidis, Eleni Vrochidou, George A. Papakostas

“…The results indicate that shading anomalies significantly impact the performance of PV units, while the top five fault detection methodologies, according to preset evaluation criteria, involve deep learning methods, such as CNNs and YOLO variations.…”
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Compensated beam model for efficient and accurate FE elastic simulation of strut-based lattice structures by Raffaele De Biasi, Mohammad Salman Yasin, Matteo Perini, Matteo Benedetti, Filippo Berto

“…While methods like asymptotic homogenization offer efficient alternatives, it falls short in capturing lattice real topology and therefore localized effects triggering fatigue failure. …”
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Inter-Object Navigation of Unmanned Aerial Vehicles to Increase the Efficiency and Accuracy of Inspection of Power Lines by Tymochko O., Fustii V., Kolesnyk G., Olizarenko S., Kalashnyk G., Kulish R., Tymoschuk O., Galinskji D.

“…The drone route planning problem was represented by a multi-agent variation of the classical traveling salesman problem and was solved by the ant colony method. …”
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Modelling of compositional gradient for reservoir fluid in a gas condensate deposit with account for scattered liquid hydrocarbons by Ekaterina V. Kusochkova, Ilya M. Indrupskii, Dmitrii V. Surnachev, Yuliya V. Alekseeva, Aleksandr N. Drozdov

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Iterative Methods for Nonlinear Systems Applied to Grid Impedance Estimation: A Comparative Study by Jefferson R. P. de Assis, Andréia da S. Gomes, Hugo M. T. C. Gomes, Fabiano F. Costa, Wellington F. Felipe, Maurício B. de R. Corrêa, Darlan A. Fernandes

“…To compare the performance between the methods, the following merit figures were listed: execution time, number of iterations required to deliver the estimates, percentage error, efficiency index, computational efficiency, computational efficiency index, and stability of the iterative method. …”
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Adopting drone technology for blood delivery: a feasibility study to evaluate its efficiency and sustainability by Pammi Gauba, Anita Nangia, Shalini Bahadur, Sangeeta Pahuja, Shweta Dang, Rambha Pathak, Kiran Agarwal, Sunita Sharma, Deepti Ambalkar, Manoj Jha, Ranju Singh, Priyanka Virdi, Rakesh Gupta, Shambhavee Singh, Ravindra Pandey, Bhuvan Adhlakha, Pragati Agarwal, Kuldeep Nigam, Sumit Aggarwal

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Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis by Ben Gabrielson, Hanlu Yang, Trung Vu, Vince Calhoun, Tulay Adali

“…Given the massive sizes of modern datasets, an important challenge is how well computational complexity scales with the data, balanced with how well decompositions approximate the data. Many efficient methods exploit a small subset of the tensor’s elements, representing most of the tensor’s variation via a basis over the subset. …”
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Optimal Dispatch of Multi-Coupling Systems Considering Molten Salt Thermal Energy Storage Retrofit and Cost Allocation Under Rapid Load Variations by Niancheng Zhou, Zhenyu Xu, Yuan Chi, Yao Zou, Fei Xu, Xuhui Dai

“…With the rapid growth of renewable energy generation capacity, integrating thermal power units and renewable energy units at the point of common coupling (PCC) as a coupling system (CS) can significantly enhance the operational reliability and economic efficiency of modern power systems. To better reflect the coordinated operational capability of thermal power units with molten salt thermal storage retrofit (TPUMSTSR) in multi-coupling system (MCS) scheduling, this study proposes a multi-stage optimization-based dispatch method for MCSs. …”
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Tailoring Al-Doped ZnO Nanoparticles via Scalable High-Energy Ball Milling–Solid-State Reaction: Structural, Optical, and Dielectric Insights for Light-Activated Antimicrobial Defe... by Zurayfah Al-Shammari, Imen Massoudi, Amani Rached, Ibtisam Ababutain, Azzah Alghamdi, Reem Aldakheel, Kamal Amin, Essam Kotb, Amor Ben Ali

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Analysis of the Effect of Clarity, Efficiency, Accuracy, Stimulation, and Novelty on the Attraction of Using PayLater Services by Mutiara Cahyani, Siti Jamilah

“…The research method used is quantitative with an associative approach and multiple linear regression analysis techniques through SEM-PLS. …”
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An efficient Quantum Approximate Optimization Algorithm with fixed linear ramp schedule for truss structure optimization by Junsen Xiao, Naruethep Sukulthanasorn, Reika Nomura, Shuji Moriguchi, Kenjiro Terada

“…As a result, the objective function is in a simple format, enabling efficient optimization using QAOA. Third, a fixed linear ramp schedule (FLRS) for variational parameter setting bypasses the classical optimization process, thereby improving the operational efficiency of the framework. …”
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Bladder lesion detection using EfficientNet and hybrid attention transformer through attention transformation by Poonam Sharma, Bhisham Sharma, Dhirendra Prasad Yadav, Deepti Thakral, Julian L. Webber

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Evaluation the efficiency of Trichomonas vaginalis depending on clinical sings , direct examination ,culturing and serological test by Baghdad Science Journal

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Ultrahigh energy density and efficiency BaTiO3-based multilayer ceramic capacitors by Biao He, Bin Zhou, Shiguang Yan, Fei Cao, Xuefeng Chen, Genshui Wang

“…As a result, MLCCs exhibit excellent recoverable energy density (Wrec = 15.7 J∙cm−3) and ultrahigh efficiency (η) of 96.4% (@1614 kV∙cm−1), simultaneously showing good temperature stability over a range of −120‒100 °C (Wrec ≈ 8.9 J∙cm−3 with a variation of less than ±4.85%, @1078 kV∙cm−1) and excellent fatigue resistance (Wrec ≈ 9.2 J∙cm−3 with a variation of less than ±0.82% over 107 cycles, and η greater than 95%, @1078 kV∙cm−1). …”
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Impact of adoption of water-saving technologies on irrigation water use efficiency at the farm household level by ZHANG Yi, LYU Mingyang, HAN Yijun

“…Compared to overall wheat production efficiency, IWUE exhibited greater variation among farmers. …”
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Innovation ARIMA models application to predict pressure variations in water supply networks with open-loop control. Case study in Noja (Cantabria, Spain) by David Muñoz-Rodríguez, Manuel J. González-Ortega, María-Jesús Aguilera-Ureña, Andrés Ortega-Ballesteros, Alberto-Jesus Perea-Moreno

“…This open-loop control method lacks direct feedback between the PRV and CPC, making it challenging to distinguish whether pressure variations originate from normal head losses or abnormal network conditions.Unlike traditional applications of ARIMA focused on water demand forecasting, this study explores its novel use in pressure management within distribution networks, aiming to predict P3 (CPC) pressure based on head losses across a defined hydraulic sector. …”
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A Mixed-Integer Convex Optimization Framework for Cost-Effective Conductor Selection in Radial Distribution Networks While Considering Load and Renewable Variations by Oscar Danilo Montoya, Oscar David Florez-Cediel, Luis Fernando Grisales-Noreña, Walter Gil-González, Diego Armando Giral-Ramírez

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A Practical Method for Determination of Nine Nucleosides in Tricholoma matsutake by UPLC/MS and Quantitative Analysis of Multicomponents Using Single Marker Method by Li Yong, An-Qin Leng, Zhi-Xiang Yang, Ying Xue

“…An ultrasonic extraction method is used for sample preparation. This method was validated to be sensitive, precise, and accurate with the LODs of 0.31–1.9 ng, the overall intraday and interday variations less than 4.08%, and the overall recovery over 89.0%. …”
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Quantitative Analysis of Vertical and Temporal Variations in the Chlorophyll Content of Winter Wheat Leaves via Proximal Multispectral Remote Sensing and Deep Transfer Learning by Changsai Zhang, Yuan Yi, Shuxia Zhang, Pei Li

“…Furthermore, the proposed method exhibits superior estimation accuracy compared to empirical statistical method and traditional machine learning method. …”
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