PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH by S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, M. Selvarathi, T. Jemima Jebaseeli

“…The proposed research applies a few Machine Learning ways to anticipate Parkinson's disease by human guidance, with the dataset acting as the source of the process understanding. By applying the hyperparameter optimization process, the accuracy is estimated. …”
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Polyhydroxyalkanoates (PHAs): Key Challenges in production and sustainable strategies for cost reduction within a circular economy framework by Manaswini Gundlapalli, Sunantha Ganesan

“…Advancements in fermentation process optimization, along with novel downstream processing solutions such as cost-effective extraction methods, green solvents, and solvent recycling, are explored to further reduce production costs. …”
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Production of Single-Cell Oil from a Local Isolate Bacillus subtilis Using Palm Fronds by Wassan Dawood Musa Al-Obeidi, Dhafer F. Al-Rawi, Loay H. Ali

“…Submerged cultures were used to improve SCO production, with optimal conditions determined as pH 7, a temperature of 30°C, carbon source concentration of 3 g/100 ml, inoculum volume of 3 ml/100 ml, inoculum density of 20 × 107 cells, and an incubation period of 72 hours. …”
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Cryopreservation as an assisted reproductive technology by I. R. Abdulazimova, L. L. Mezhidova, R. S. Barkinkhoeva, Z. U. Zarieva, Z. Kh. Abadieva, Kh. R. Magamadova, A. L. Vazikaeva, A. A. Bzhekshieva, D. A. Bogatyreva, E. A. Kauts, M. A. Bayanova, Kh. U. Umarova, Kh. A. Satuev, M. A.F. Qasem

“…These sources were not included in the assessment of method effectiveness but were considered in the context of the timeline for the technologies and ethical-legal aspects. …”
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Device-Independent Quantum Key Distribution Based on Routed Bell Tests by Tristan Le Roy-Deloison, Edwin Peter Lobo, Jef Pauwels, Stefano Pironio

“…We show how to analyze the security of these protocols and compute lower bounds on the key rates using noncommutative polynomial optimization and the Brown-Fawzi-Fawzi method. We determine lower bounds on the asymptotic key rates of several simple two-qubit routed DIQKD protocols based on CHSH or BB84 correlations and compare their performance to standard protocols. …”
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Power Coordination Strategy for Hybrid Energy Storage in AC/DC Microgrids Based on Virtual Impedance-Fuzzy Algorithm by ZHAO Yongxi, GAO Pengchao, FAN Hong

“…Based on this, a power distribution adjustment method is proposed, and fuzzy control rules are derived. …”
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Research on Parameter Distribution Features of Photovoltaic Array under the Cover and Shadow Shading Conditions by Honglu Zhu, Cao Yu, Lingxing Lu, Weiwei Lian, Jianxi Yao, Yang Hu

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Structure-based rational design of covalent probes by Matthew Holcomb, Manuel Llanos, Althea Hansel-Harris, Stefano Forli

“…In this review, we discuss the role of structure-based design in the discovery and optimization of covalent probes, with a special emphasis on computational methods to leverage structural data.…”
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Research on Energy Harvesting Communication System by Jian Feng, Pingyang Wang, Lin Wang, Xing Zhang

“…An extensive survey on the current development status and main research fields was made, and the most common used model, system framework and optimization methods were analyzed carefully. Finally the future development for applying EH to communication systems was concluded.…”
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Harmonizing remote sensing and ground data for forest aboveground biomass estimation by Ying Su, Zhifeng Wu, Xiaoman Zheng, Yue Qiu, Zhuo Ma, Yin Ren, Yanfeng Bai

“…However, the complexity of forest ecosystems and the diversity of geography bring great challenges to traditional biomass estimation methods. This study aims to develop an optimized AGB estimation framework that integrates heterogeneous data sources (i.e., ground survey data, National Forest Continuous Inventory (NFCI) data, and both active and passive remote sensing data) to enhance estimation accuracy and address the needs of future satellite missions and forest monitoring efforts. …”
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Benchmarking <i>K</i>_DP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations by M. Aldana, M. Aldana, S. Pulkkinen, A. von Lerber, M. R. Kumjian, D. Moisseev, D. Moisseev

“…Most of these methods showed a significant reduction in the estimation errors after the optimization, with respect to the default settings. …”
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Deciphering city-level residential AMI data: An unsupervised data mining framework and case study by Han Li, Miguel Heleno, Kaiyu Sun, Wanni Zhang, Luis Rodriguez Garcia, Tianzhen Hong

“…Buildings account for more than one third of global energy consumption and carbon emissions, making the optimization of their energy use crucial for sustainability. …”
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Coordinated Energy Management Strategy for DC Microgrid With Hybrid Energy Storage System: A Real‐Time Case Study by Biks Alebachew Taye

“…The economic viability of solar, wind, and energy storage systems is meticulously evaluated using HOMER Pro software, aiding in the identification of viable energy sources. Once optimized energy resources, energy storage solutions, and load demands are identified, a systematic approach is taken. …”
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Techniques for increasing the efficiency of microclonal propagation of potatoes (review) by Yu. D. Smirnova, E. A. Podolian

“…The application of tissue culture method for propagation of potato plants is the most significant. …”
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A survey of sensors based autonomous unmanned aerial vehicle (UAV) localization techniques by Haiqiao Liu, Qing Long, Bing Yi, Wen Jiang

“…In the context of sensor-assisted multi-source UAV localization, the applications of filtering-based fusion, optimization-based fusion, and deep learning-based fusion methods are discussed. …”
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Exploring the relationship between audio–visual perception in Fuzhou universities and college students' attention restoration quality using machine learning by Shaofeng Chen, Zhengyan Chen, Jiawen Hong, Xiaowen Zhuang, Chenxi Su, Zheng Ding

“…It further explores campus landscape optimization pathways driven by multi-source data, providing scientific basis for sustainable campus planning.MethodsTaking Fuzhou University Town as a case study, this study integrates machine learning technology with multi-source data (street view images, social media text, and PRS-11 questionnaires) to construct a “multi-modal perception mechanism analysis-dynamic evaluation iteration” framework. …”
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Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

“…To address this challenge, we introduce a robust estimation framework based on a three-parameter Weibull distribution in which the location parameter naturally corresponds to the unknown exposure time. Our method employs a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>-divergence criterion—a robust generalization of the standard cross-entropy criterion—optimized via a tailored majorization–minimization (MM) algorithm designed to guarantee a monotonic decrease in the objective function despite the non-convexity typically present in robust formulations. …”
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Dazzle: Oversampled Image Reconstruction and Difference-imaging Photometry for the Nancy Grace Roman Space Telescope by Michael D. Albrow

“…Transient photometry is performed via PSF fitting on difference images, using Nelder–Mead optimization for subpixel accuracy. The software, Dazzle, is available as an open-source Python package built on widely used libraries, offering accessible tools for the detection and characterization of transient phenomena in crowded fields.…”
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Hinged plakin domains provide specialized degrees of articulation in envoplakin, periplakin and desmoplakin. by Caezar Al-Jassar, Pau Bernadό, Martyn Chidgey, Michael Overduin

“…The range of mobility of the two arms about the hinge is revealed by applying the ensemble optimization method to small-angle X-ray scattering data. …”
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Resource allocation scheme in two-way multi-relay OFDM system by Xuan-wei LIANG, Qi ZHU, Guang-jun LIANG

“…A joint optimization scheme for power allocation and subcarrier pairing under high SNR in two-way multi-relay OFDM system was proposed.Unlike those schemes in which relays use subcarriers separately,all the relays were allowed to forward signal on each subcarrier pair for providing much space diversity.With the constraint of total system power,the proposed scheme firstly allocated each relay power with Cauchy inequality with the assuming that the total relay power was fixed.Then the dichotomy was used to calculate the power allocation between the source node and the relay node by maximizing the equivalent channel gain for different subcarrier pairs.Lastly,the power of different subcarrier pairs was allocated by convex programming,and the subcarriers were paired by Hungarian algorithm to obtain the maximum system capacity.There was no optimal power allocation method with low complexity because of the complexity of the power allocation algorithm in two-way multi-relay networks.This algorithm greatly reduces the complexity of power allocation and simulation results show that the proposed scheme outperforms the relay selection scheme and the relays use subcarriers separately scheme.…”
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