Design and Implementation of a Comparative Study of Fractional-Order Fuzzy Logic and Conventional PI Controller for Optimizing Stand-Alone DFIG Performance in Wind Energy Systems by Fella Boucetta, Mohamed Toufik Benchouia, Amel Benmouna, Mohamed Chebani, Amar Golea, Mohamed Becherif, Mohammed Saci Chabani

“…This versatility allows for independent tuning of fractional parameters, optimizing the system’s response to transients, steady-state errors, and disturbances. The controller’s flexibility makes it particularly well-suited for nonlinear and dynamically complex stand-alone renewable energy systems. …”
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Experimental validation of an adaptive fuzzy logic controller for MPPT of grid connected PV system by Basem E. Elnaghi, Ahmed M. Ismaiel, Mohamed M. Ismail, Honey A. Zedan, Ahmed A. Salem

“…Specifically, the AFLC demonstrates faster response times, higher convergence rates, decreased peak overshoot, minimal undershoot, and lower the error of the mean square. Additionally, the Compared to conventional Fuzzy Logic Control (FLC) and PI controllers, the AFLC delivers superior efficiency and transient response, and oscillation reduction. …”
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Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images by Bo Wei, Yili Zhang, Linshan Liu, Binghua Zhang, Dianqing Gong, Changjun Gu, Lanhui Li, Basanta Paudel

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Predictive Model for Erosion Rate of Concrete Under Wind Gravel Flow Based on K-Fold Cross-Validation Combined with Support Vector Machine by Yanhua Zhao, Kai Zhang, Aojun Guo, Fukang Hao, Jie Ma

“…It showed average relative errors of 22% and 31.6% for the Bitter and Oka models, respectively. …”
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Optimisation of a Cytogenetic Sample Preparation Procedure for <i>In Vivo</i> Metaphase Analysis of Mammalian Bone Marrow Cells by A. O. Verner, T. M. Ustinova, N. G. Vengerovich

“…Existing procedures for cytogenetic sample preparation require optimisation because of their time and labour intensiveness and potential for artefactual chromosome loss that leads to errors in the interpretation of analytical results.AIM. …”
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Digital twin manifesto for the pathology laboratory by Albino Eccher, Fabio Pagni, Massimo Dominici, Luca Reggiani Bonetti, Stefano Marletta, Enrico Munari, Giorgio Cazzaniga, Anil V Parwani, Vincenzo L’Imperio, Angelo Paolo Dei Tos

“…The framework highlights measurable gains such as up to 90% reduction in labeling errors, 20–30% improvements in slide quality, and 30–50% reductions in diagnostic turnaround time. …”
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Multi-scenario analysis of green water resource efficiency under carbon emission constraints in the Chengdu-Chongqing urban agglomeration, China: A system dynamics approach by Keyao Yu, Zhigang Li

“…Five scenarios are then set up: baseline development, economic priority, green innovation, water-saving and emission reduction, and comprehensive development. These scenarios are used to simulate and predict different development paths and evaluate the impact of various key indicators on GWRE. …”
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Distribution of University Admission Quotas: Problems of Competitive Selection Process by L. M. Nurieva, S. G. Kiselev

“…There will certainly be a deficiency of young specialists due to low mobility of graduates of the Russian higher school and reduction of the contingent of provincial higher education institutions-outsiders. …”
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Use of AI in Mental Health Care: Community and Mental Health Professionals Survey by Shane Cross, Imogen Bell, Jennifer Nicholas, Lee Valentine, Shaminka Mangelsdorf, Simon Baker, Nick Titov, Mario Alvarez-Jimenez

“…Respondents believe AI will offer future advantages for mental health care in terms of accessibility, cost reduction, personalization, and work efficiency. However, they were equally concerned about reducing human connection, ethics, privacy and regulation, medical errors, potential for misuse, and data security. …”
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Synthesis of a reversible quantum Vedic multiplier on IBM quantum computers by Mojtaba Noorallahzadeh, Mohammad Mosleh

“…Vedic multipliers offer a crucial foundation in the design and implementation of digital circuits, recognized for their speed, efficiency, ease of calculations, reduction of errors, and broad applicability. Prior investigations of quantum Vedic multipliers have faced obstacles like elevated Quantum Cost (QC), substantial Garbage Output (GO), Constant Input (CI), augmented Gate Count (GC), and CNOT-V/V+ count, resulting in more resource use and implementation intricacy. …”
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Establishing a Junior Doctor Digital Network to help implement digital transformation by Marie-Therese Angus, Ragaul Rajagopal, Vivienne MacCallum, Marten Lau

“…Introduction: Electronic prescribing systems provide advanced decision support to reduce medication errors, adverse drug interactions, and transcription mistakes.1 Thus, effective electronic prescribing is vital for enhancing patient safety and care. …”
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Predicting the compressive strength of concrete incorporating waste powders exposed to elevated temperatures utilizing machine learning by Islam N. Fathy, Hany A. Dahish, Mohammed K. Alkharisi, Alaa A. Mahmoud, Hala Emad Elden Fouad

“…The XGB model demonstrated the highest R2 of 0.9989, alongside the lowest prediction errors: MAE of 0.1351 MPa, RMSE of 0.1842 MPa, and MAPE of 0.48%. …”
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Multimodal Collaborative Perception for Dynamic Channel Prediction in 6G V2X Networks by Ghazi Gharsallah, Georges Kaddoum

“…Compared to baseline methods&#x2014;namely, a classical LS-LMMSE approach and a wireless-based model that solely relies on channel measurements&#x2014;our framework achieves up to a 30.82% reduction in mean squared error (MSE) and a 32.76% increase in goodput. …”
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Optimization of Sensor Targeting Configuration for Intelligent Tire Force Estimation Based on Global Sensitivity Analysis and RBF Neural Networks by Yu Zhang, Guolin Wang, Haichao Zhou, Jintao Zhang, Xiangliang Li, Xin Wang

“…Three intelligent tire force estimation models with different sensor-targeting configurations were established using radial basis function (RBF) neural networks. The mean relative error (MRE) of intelligent tire force estimation for these models remained within 10%, with Model 3 demonstrating an MRE of less than 2% and estimation errors of 1.42% and 1.10% for longitudinal and lateral forces, respectively, indicating strong generalization performance. …”
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Assessing the factors militating against the effective implementation of electronic health records (EHR) in Nigeria by Abisola Esther BABATOPE, Idowu Peter ADEWUMI, Damola Olanipekun AJISAFE, Kayode Olayiwola ADEPOJU, Adetola Rachael BABATOPE

“…Abstract This study assessed the factors militating against the effective implementation of electronic health records (EHR) in Nigeria, the computerization of patients’ health records with a lot of benefits including improved patients’ satisfaction, improved care processes, reduction of patients’ waiting time, and medication errors. …”
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Tibiofemoral Joint Contact Force Estimation Based on OpenSim Musculoskeletal Modeling by WANG Xiaoling, JIAN Jiawei, XIE Qiurong, LIAN Zhanghui, GUO Chunming, GUO Jiemei, LI Yurong

“…The root mean square error of the estimated and measured peak contact force of the medial and lateral sides were 0.43±0.25 BW and 0.34±0.24 BW, and the errors at the time of peak contact force onset were 44.09±34.66 ms and 67.52±61.19 ms. …”
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A quantum-resilient lattice-based security framework for internet of medical things in healthcare systems by Zeyad Ghaleb Al-Mekhlaf, Murtaja Ali Saare, Jalal Mohammed Hachim Altmemi, Mahmood A. Al-Shareeda, Badiea Abdulkarem Mohammed, Gharbi Alshammari, Reem alrashdi, Yasser A. Alkhabra, Ibrahim Alreshidi

“…This paper proposes a quantum-resistant healthcare security framework based on lattice-based cryptographic primitives such as Learning With Errors (LWE), Ring-LWE (RLWE), and Short Integer Solution (SIS). …”
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Reduced Quality of Life in Elderly Patients with Glaucoma by N. M. Agarkov, A. M. Chukhraev, O. L. Fabrikantov, N. V. Yablokova

“…At the same time, the most pronounced effect of glaucoma has on the reduction of distant vision — 19.5 ± 1.3 points against 69.5 ± 1.8 points (p &lt; 0.001) in the control group. …”
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Advanced AI techniques for classifying Alzheimer’s disease and mild cognitive impairment by Sophie Tascedda, Sophie Tascedda, Sophie Tascedda, Pierfrancesco Sarti, Pierfrancesco Sarti, Veronica Rivi, Claudia Savia Guerrera, Giuseppe Alessio Platania, Mario Santagati, Filippo Caraci, Filippo Caraci, Johanna M. C. Blom, Johanna M. C. Blom

“…By deploying these advanced computational techniques, clinicians could see a reduction in diagnostic errors, facilitating earlier, more precise interventions, and likely to lead to significantly improved outcomes for patients.…”
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Experimental Study of the Kinematics of a Double-Row Planetary Mechanism Using Two Elliptical External Gears by A. A. Prikhodko, N. N. Belina, A. V. Novitskiy, M. M. Shchetinin

“…The development of this area is stimulated by the advancements and reduction in cost of mechanical processing and additive manufacturing technologies, as well as the use of applied mathematical modeling packages for the analysis and synthesis of non-circular gears. …”
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