Effects on the Unit Commitment of a District Heating System Due to Seasonal Aquifer Thermal Energy Storage and Solar Thermal Integration by Joana Verheyen, Christian Thommessen, Jürgen Roes, Harry Hoster

“…There is a high dependency on the configurations, prices, or emissions allocated to electricity procurement. …”
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RpNGS: an automated platform for pathogen identification and monitoring in clinical metagenomics data by Jing Zhou, Yao Tian, Min Yang, Ting Hao, Jun Ma, Shengyu Wang

“…This technology optimizes clinical reporting by autonomously generating standardized reports in Word format. …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…Benchmarking on diverse datasets demonstrated its ability to deliver optimized pipelines and superior performance across various molecular machine-learning tasks.…”
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A novel smart community: Combining a flexible heating system as electrical demand response to enhance local renewable energy integration by Yufei Xi, Yuguang Song, Meng Chen, Jiansheng Zhang, Lin Cheng, Zhe Chen

“…A hybrid solution architecture combining branch-and-reduce with multi-learning-task is proposed to efficiently solve the mixed-integer nonlinear programming (MINLP) model and generate multiple optimal Pareto solutions. Case studies on different system configurations validate the superior performance of the proposed SC in reducing operating costs and carbon emissions while enhancing local renewable energy integration. …”
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A Target Near-Field Scattering Measurement Technique Utilizing 3D Near-Field Imaging via Cylindrical Scanning by Zongkai Yang, Jingcheng Zhao, Weikang Si, Changyu Lou, Xin Zhao, Jungang Miao

“…Wavenumber domain algorithms are initially utilized for the rapid localization of strong scattering sources. Subsequently, morphological image analysis techniques are employed to delineate the regions containing strong scattering sources. …”
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A knowledge graph based remanufacturing equipment resource modeling method. [version 2; peer review: 1 approved, 2 approved with reservations] by Yuyao Guo, Lei Wang, Xuhui Xia, Binyuan Zhang, Xinlan Liu

“…Conclusions This study provides a unified information foundation for mapping and optimizing the resource capabilities of remanufacturing equipment. …”
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A Scalable All-Digital Near-Memory Computing Architecture for Edge AIoT Applications by Masoud Nouripayam, Arturo Prieto, Joachim Rodrigues

“…An open-source RISC-V MCU is chosen as the target platform due to its flexibility and low-power architecture. …”
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Derivation and Experimental Validation of a Parameterized Nonlinear Froude–Krylov Force Model for Heaving-Point-Absorber Wave Energy Converters by Houssein Yassin, Tania Demonte Gonzalez, Gordon Parker, Giorgio Bacelli, Carlos Michelen

“…Wave energy converters (WECs) have gained significant attention as a promising renewable energy source. Optimal control strategies, crucial for maximizing energy extraction, have traditionally relied on linear models based on small motion assumptions. …”
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Modeling and design of compact, permanent-magnet transport systems for highly divergent, broad energy spread laser-driven proton beams by J. De Chant, K. Nakamura, Q. Ji, L. Obst-Huebl, S. Barber, A. M. Snijders, C. G. R. Geddes, J. van Tilborg, A. J. Gonsalves, C. B. Schroeder, E. Esarey

“…We also examine the ability of certain configurations to tune and select beam energies, critical for specific applications. …”
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Is the Existing Measles Vaccination Schedule in the Russian Federation Effective? by O. V. Tsvirkun, A. G. Gerasimova, N. V. Turaeva, N. T. Tikhonova, A. A. Melnikova, A. A. Vatolina

“…The Pearson coefficient was used to determine the correlation.Results and discussions. The configuration of the measles incidence curve in children in the first year of life completely coincides with the dynamics of measles incidence in the general population, and a strong positive correlation (r=+0.99) confirmed the dependence of the incidence of the analyzed age group on the overall incidence. …”
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Design, assembly, and tuning of a multipurpose FPV drone: A flexible and low-cost alternative by Franco Alessandro Arenas Mamani, Gustavo Bryam Capira Malcoaccha, Marco Antonio Blanco Quicaño, Leonardo Gabriel Prado Gutierrez, German Alberto Echaiz Espinoza, Erasmo Sulla Espinoza, Andres Ortiz Salazar

“…To encourage accessibility, reproducibility and further development, open-source design files, including CAD schematics, firmware configurations, and assembly instructions, are provided. …”
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Artificial neural network based enhanced thermal energy storage system for renewable energy using nano-particles by Saima Zainab, Meraj Ali Khan, Sharmeen, Hassan Waqas

“…Combining Latent Heat Storage Systems (LHSS) with renewable (solar) energy sources has improved the sustainability and efficiency of energy systems worldwide. …”
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Dispersive X-ray absorption spectroscopy using independent grazing-incidence focusing and convexly bent Bragg-crystal dispersing optics by Juanjuan Huang, Adam P. Tornheim, Xianbo Shi, Mark Wolfman, Yanna Chen, Steve M. Heald, Shelly D. Kelly, George E. Sterbinsky

“…The use of separate optics for X-ray focusing and energy dispersion provides high spatial resolution and avoids chromatic aberrations inherent in focusing bent-crystal optics, and a modular design makes implementation of the technique at other beamlines possible without requiring modifications to the upstream beamline configurations. Theoretical calculations are performed to determine optimal instrument operating parameters and demonstrate that an energy resolution better than the K-edge core-hole lifetime broadening can be maintained while providing a sufficient bandwidth for X-ray absorption near-edge structure spectroscopy through the full operating range of 5–11 keV. …”
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A Brief Review on the Development Progress of High-Efficiency Klystrons by Soumaya Mandal, Ayan Kumar Bandyopadhyay, Chaitali Koley, Debasish Pal, Taha Selim Ustun, Ahmet Onen

“…This paper presents a brief review on recently emerging bunching formation techniques and configurations, including the Core Oscillation Method (COM), Core Stabilization Method (CSM), Bunch Alignment Collection method (BAC), Kladistron principle, Multigap output structures, novel architecture of Two Stage Multibeam klystrons, and related optimization techniques. …”
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Urban Recreational Space Heat-Emotion Distribution and Matching Pattern Based on Machine Learning: A Case Study of Guangzhou City by Wang Fuyuan, Zhang Zhiyu, Xie Yuanjing, Yang Xinyi, Sun Miao

“…Using Guangzhou as a case study, this study harnesses big data sourced from Ma Feng Wo and Ctrip. Based on machine learning techniques, it discerns recreational emotions and synergizes Geographic Information System (GIS) spatial analysis with heat-emotion matching analysis. …”
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Implementation of a Neural Network for Adaptive PID Tuning in a High-Temperature Thermal System by Juan Carlos Almachi, Ramiro Vicente, Edwin Bone, Jessica Montenegro, Edgar Cando, Salvatore Reina

“…A dataset of 9702 samples was built from eight fixed PID configurations tested under a multi-ramp thermal profile. …”
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Refining hybrid energy systems: elevating PV sustainability, cutting emissions, and maximizing battery cost efficiency in remote areas by Alireza Soleimani, Parsa Roghanian, Mehran Heidari, Mehrdad Heidari, Anna Pinnarelli, Pasquale Vizza, Meisam Mahdavi, Seyedeh Fatemeh Mousavi

“…The study further investigated 11 HRES configurations using HOMER Pro to analyze cost optimization, energy distribution, and renewable energy integration. …”
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Mass transpiration impact on effectiveness of heat transport of ternary hybrid nanofluid with velocity slip by S. Bilal, Muhammad Yasir

“…Admirable utilizations about the dynamical movement of rheological materials over exponentially shrinking configurations in industrial and technological fields have mesmerized investigators. …”
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Simulation study on enhanced heat transfer of annular inner rib tube in geothermal coaxial heat transfer wellbore by Longfei Dong, Yanping Xin, Xiao Wu, Rui Zhang

“…As a clean and renewable energy source, geothermal energy offers several advantages, including high reserves, safety, and stability. …”
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Intelligent deep learning for human activity recognition in individuals with disabilities using sensor based IoT and edge cloud continuum by Mohammed Maray

“…However, the massive number of activity constellations and sensor configurations make the HAR problem challenging to solve deterministically. …”
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