Grid-Connected Solar PV System with Maximum Power Point Tracking and Battery Energy Storage Integrated with Sophisticated Three-Level NPC Inverter by D. Ravi Kishore, T. Vijay Muni, B. Srinivas Raja, Mukesh Pushkarna, B. Srikanth Goud, Kareem M. AboRas, Sadam Alphonse

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Functional Mobility Outcomes in Telehealth and In-Person Assessments for Wheeled Mobility Devices by Mitchell Bell, Richard M. Schein, Joseph Straatmann, Brad E. Dicianno, Mark R. Schmeler

“…The purpose of this study was to compare telehealth and in-person service delivery models for wheeled mobility devices in terms of functional outcomes. We hypothesized that clinically significant improvements in functional mobility measured by the Functional Mobility Assessment (FMA) will occur in individuals receiving both telehealth and in-person clinic evaluations. …”
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Reliability analysis of landing gear operation based on improved support vector machine-based decomposed-coordinated by ZHANG Lei, CHEN Junyu, FENG Jun, FENG Yunwen, LIU Lei

“…The improved support vector machine aims to optimize the performance of the limit state function in each sub-mathematical model by applying multi-stage adaptive point position control of hyperparameters. …”
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Visual function deficits in dyslexic children: a case-control study by Azam Darvishi, Negar Sangsefidi, Javad Heravian Shandiz, Davood Sobhani Rad, Foroozan Narooie-Noori, Masoud Khorrami-Nejad

“…There was no significant difference in visual functions (P > 0.05) except for stereoacuity and contrast sensitivity between the two groups. …”
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Functional connectivity in burnout syndrome: a resting-state EEG study by Natalia Afek, Dmytro Harmatiuk, Magda Gawłowska, João Miguel Alves Ferreira, Krystyna Golonka, Sergii Tukaiev, Sergii Tukaiev, Anton Popov, Anton Popov, Tadeusz Marek

“…For the first time, these analyses point to distinctive aspects of functional connectivity within the alpha3 sub-band in burnout syndrome. …”
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Multi-objective Optimization of Staggered Tube Banks in Cross-flow Using Machine Learning and Genetic Algorithm by A. Tamanaei, F. Kowsary, S. Sahamifar, F. Samadi

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Integrated Machine Learning and Region Growing Algorithms for Enhanced Concrete Crack Detection: A Novel Approach by Wenxuan Yao, Hui Li, Yanlin Li

“…The region growth algorithm is used to expand the threshold from the seed points of the image to obtain the crack recognition results. …”
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The significance of technology-driven entrepreneurship activities: Lessons from SMEs operating in the manufacturing industry by Anil Yigit, Dominik K. Kanbach

“…The framework highlights the TE process in SMEs leading to four output components: (1) corporate-function-related, (2) business-model-related, (3) competitiveness-related, and (4) customer-related. …”
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Revealing Spatiotemporal Urban Activity Patterns: A Machine Learning Study Using Google Popular Times by Mikel Barrena-Herrán, Itziar Modrego-Monforte, Olatz Grijalba

“…This study presents a methodology for analyzing the spatiotemporal use of cities and identifying occupancy patterns taking into consideration urban form and function. The analysis relies on data obtained from Google Popular Times (GPT), transforming the relative occupancy of a large number of points of interest (POI) classified into five categories, for estimating the number of people aggregated within urban nodes during a typical day. …”
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Assessing the accuracy of a machine learning prediction for 2 different shoulder prostheses: an external validation study by Gianluca Caprili, MD, Andrea G. Calamita, MD, Michele Novi, MD, Domenico A. Campanacci, MD, PhD, Simone Nicoletti, MD

“…Background: The integration of machine learning in orthopedic surgery, including shoulder procedures, has garnered increasing interest. …”
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Caminate axe and Chiaruccia di Fano (PU) settlement between Middle Bronze Age 3 and Recent Bronze Age 1. Matched review in relation to interactions between north-eastern Italy and... by Gaia Pignocchi, Elisa Dalla Longa, Giovanni Tasca

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A systematic review on machine learning-aided design of engineered biochar for soil and water contaminant removal by Yunpeng Ge, Kaiyang Ying, Guo Yu, Muhammad Ubaid Ali, Abubakr M. Idris, Abubakr M. Idris, Asfandyar Shahab, Habib Ullah, Habib Ullah

“…For adsorption, surface area and pore volume are distinctly important; in redox reactions for heavy metal removal, functional groups like C-O and C=O play vital roles. …”
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Machine learning-enabled multiscale modeling platform for damage sensing digital twin in piezoelectric composite structures by Somnath Ghosh, Saikat Dan, Preetam Tarafder

“…The DT framework consists of a two-step computational process integrating multiscale-multiphysics modeling with machine learning (ML) tools to detect damage progression in the piezoelectric composite structure using electrical signal measurements at a few surface points. …”
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Machine learning-based radiomics prognostic model for patients with proximal esophageal cancer after definitive chemoradiotherapy by Linrui Li, Zhihui Qin, Juan Bo, Jiaru Hu, Yu Zhang, Liting Qian, Jiangning Dong

“…Radiomics models were established by five machine learning approaches. The optimal radiomics model was selected using receiver operating curve analysis. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…By predicting vector functions from vector input features, we effectively reduced prediction errors. …”
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Testing source elevation versus genotype as predictors of sugar pine performance in a post‐fire restoration planting by Emily V. Moran, Rainbow DeSilva, Courtney Canning, Jessica W. Wright

“…This result, and those of similar previous studies, suggest that “climate matching” using past climate information for existing seed sourcing units is a reasonable starting point for finding seedlings suited to already‐altered planting site climate conditions. …”
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A modified radial basis function interpolation method for aerodynamic load application by ZHENG Wei, XIONG Jun, LIU Jian, JI Kai

“…A modified radial basis function interpolation method is proposed，where neighboring space of the interpolation point is distorted according to its normal vector，thus reducing the interference of non-coplanar sampling points. …”
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High-speed algorithm for carrier frequency recovery and frame synchronization in QPSK-modulated modems by A. V. Sadchenko, O. A. Kushnirenko, E. K. Koshelev, V. I. Bondar

“…In most QPSK modems, the carrier frequency recovery and synchronization recovery tasks are separated and solved with the help of different functional modules, which is not the optimal solution from the point of view of increasing the energy efficiency. …”
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Study on the calculation of surface residual deformation in goaf based on the Gudermann time function by Haiguang Du, Wenchang Wang, Zhilin Dun, Lianwei Ren, Yakun Nan

“…Combined with the probability integral method, the calculation method of the residual subsidence at any point of the ground surface is proposed. Finally, 1176 east working face is adopted for verification, and the results show that the mean absolute error (MAE) and mean absolute percentage error (MAPE) of using the Gudermann time function for maximum subsidence point estimation are 40.23 and 0.17 respectively, and the determinable coefficient is 0.993, and the estimated value matches with the measured value. …”
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SOIL BULK DENSITY AS IMPORTANT MANAGEMENT FACTOR AND ECOSYSTEM SERVICES WELL FUNCTION by Alina EFTENE, Petru IGNAT, Irina-Adriana CHIURCIU, Alexandrina MANEA, Daniela RADUCU, Sorina DUMITRU

“…The two soils had been analyzed to pointed out how soil bulk density is an important key of soil fertility and consequently of the agriculture management and how influence the well function of an important ecosystem services as the „maintenance of soil structure“. …”
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