Comparison of single-spin to double-spin platelet-rich plasma centrifugation methods in the treatment of androgenic alopecia: a systematic review and meta-analysis of randomized co... by Laura Ghanem, Najwaa Kirmani, María Paula Palacios-Ortiz, Martin Cevallos-Cueva, Daniela Lucía Mendoza-Millán, Daniela Lucía Mendoza-Millán, Gabriel Victor Almeida Nascimento, Virginia Velasco-Tamariz

“…We aim to conduct a systematic review and meta-analysis of randomized controlled trials (RCTs) to compare the efficacy of single-spin versus double-spin centrifugation protocols for PRP in patients with AGA.MethodsWe searched PubMed, Embase, and Cochrane for RCTs comparing single-spin to double-spin PRP in AGA patients. …”
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Employing sentinel-2 time-series and noisy data quality control enhance crop classification in arid environments: A comparison of machine learning and deep learning methods by Zahra Mohammadi Mobarakeh, Saeid Pourmanafi, Mohsen Ahmadi

“…The classification was based on time series spectral bands of Sentinel-2 images and indices of crop growth phenology, providing valuable insights into the growth cycles of different crops in the region. Additionally, a neural network-based method was used to assess and enhance the quality of training data before modeling. …”
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Black holes and thermogeometric optimization by V. Avramov, H. Dimov, M. Radomirov, R. C. Rashkov, T. Vetsov

“…Additionally, we link the scale factor to the sign of thermodynamic curvature, connecting it to the information geometry governing optimal processes. Our results indicate that optimal fluctuations can drive the evaporation of Schwarzschild and Kerr black holes, which may significantly differ from Hawking radiation. …”
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OPTIMALITY IN AGRICULTURE: GENERATING OPTIMAL STRUCTURE OF CULTURES WITHIN A FARM USING GENETIC ALGORITHMS by Victor TIȚA, Doru Anastasiu POPESCU, Nicolae BOLD

“…In this paper we will present a method of determining an optimal repartition of an agricultural surface for a number of cultures based on a genetic algorithm in order for the profit to be maxim. …”
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Low-carbon economic optimization for flexible DC distribution networks based on the hiking optimization algorithm by Ke Wu, Yuefa Guo, Ke Wang, Zhenliang Chen

“…However, the potential of flexible loads—possessing both source and load characteristics—in supporting the low-carbon economic operation of integrated energy systems (IES) remains underexplored. Furthermore, the optimization of IES scheduling is inherently a multi-dimensional nonlinear problem, where traditional intelligent optimization methods struggle to achieve satisfactory solution accuracy. …”
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Optimization procedure for conformance control by Konstantin M. Fedorov, Rodion M. Ganopolsky, Alexander Ya. Gilmanov, Alexander P. Shevelev

“…Currently, due to the significant share of reservoirs with high water cut, it is relevant to use methods that allow reducing the rate of production water cut increase. …”
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A quantitative LC-MS/MS method for residues analysis of 62 plant growth regulators and the investigation of their effects on the quality of traditional Chinese medicinal: Codonopsi... by Hongxu Zhou, Hongxu Zhou, Yue Ren, Yangli Wang, Jing Su, Xiangmin Zhou, Siyu Huang, Rui Yan, Jun Zeng, Min Chen, En Zhang, Xiaohu Chen

“…Here, we developed a simple, high-throughput method using salting-out extraction and LC-MS/MS to analyze 62 PGR residues. …”
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A two‐stage transformer fault diagnosis method based multi‐filter interactive feature selection integrated adaptive sparrow algorithm optimised support vector machine by Hanyu Shi, Mingxia Chen

“…Therefore, this study proposes a novel two‐stage transformer fault diagnosis strategy, which includes a multi‐filter interactive feature selection method (MIFS) constructed, and a diagnosis model ASSA‐SVM based on the adaptive sparrow algorithm (ASSA) optimised support vector machine (SVM). …”
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Development of a method for differential diagnosis of iron deficiency anemia and anemia of chronic disease based on demographic data and routine laboratory tests using machine lear... by N. V. Varekha, N. I. Stuklov, K. V. Gordienko, R. R. Gimadiev, O. B. Shchegolev, S. N. Kislaya, E. V. Gubina, A. A. Gurkina

“…The study of machine learning methods, a branch of artificial intelligence science, is relevant for the development of optimal screening strategies, identification of risk groups, and application of less expensive and more accessible laboratory tests to assess the body iron status.   …”
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Physiological and behavioral data on active and traditional learning in engineering educationMendeley Data by José Roberto Dale Luche, Claudia Regina de Freitas, Blaha Gregory Correia dos Santos Goussain, Messias Borges Silva

“…The dataset is structured to facilitate analyses comparing active and traditional instructional methods. Given its multimodal nature, it can be reused in various educational and physiological research contexts, including investigations into cognitive load, emotional responses, and instructional design optimization.…”
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Sustainable Construction Material Selection Based on Novel Integrated CRIterion Free-Fall Time–SPHERicity of Alternative Decision-Making Model by Miloš Gligorić, Zoran Gligorić, Suzana Lutovac, Svetlana Štrbac-Savić

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Performance of an End-to-End Inventory Demand Forecasting Pipeline Using a Federated Data Ecosystem by Henrique Duarte Moura, Els de Vleeschauwer, Gerald Haesendonck, Ben De Meester, Lynn D’eer, Tom De Schepper, Siegfried Mercelis, Erik Mannens

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LogiTide2DEM: A method for reconstructing intertidal topography in complex tidal flats using logistic regression with multi-temporal Sentinel-2 and Landsat imagery by Yi-Chin Chen, Su-Fen Wang

“…To address these limitations, we propose LogiTide2DEM, a novel method for reconstructing intertidal topography. This method uses logistic regression to determine optimal tide heights for water-land differentiation as surface elevation using multi-temporal Sentinel-2 and Landsat imagery. …”
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Method and Experimental Research of Transmission Line Tower Grounding Body Condition Assessment Based on Multi-Parameter Time-Domain Pulsed Eddy Current Characteristic Signal Extra... by Yun Zuo, Jie Wang, Xiaoju Huang, Yuan Liu, Zhiwu Zeng, Ruiqing Xu, Yawen Chen, Kui Liu, Hongkang You, Jingang Wang

“…Four defects with different corrosion levels were classified using the optimized SVM model, with an accuracy rate of 95%. …”
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HSCCC Straightforward Fast Preparative Method for Isolation of Two Major Cytotoxic Withanolides from <i>Athenaea fasciculata</i> (Vell.) I.M.C. Rodrigues & Stehmann by André Mesquita Marques, Lavínia de Carvalho Brito, Maria Raquel Figueiredo

“…In this study, among 10 different solvent systems, the system composed of <i>n</i>-hexane/ethyl acetate/methanol/water 3:6:2:1 (v/v/v/v) was chosen for optimization. …”
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Occurrence of Uncultured <i>Legionella</i> spp. in Treated Wastewater Effluent and Its Impact on Human Health (SCA.Re.S Project) by Osvalda De Giglio, Giusy Diella, Francesco Bagordo, Antonella Francesca Savino, Angelantonio Calabrese, Mariavirginia Campanale, Francesco Triggiano, Francesca Apollonio, Valentina Spagnuolo, Marco Lopuzzo, Tiziana Grassi, Maria Clementina Caputo, Silvia Brigida, Federica Valeriani, Vincenzo Romano Spica, Maria Teresa Montagna

“…Wastewater treatment plants (WWTPs) provide optimal conditions for the environmental spread of <i>Legionella</i>. …”
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Spatiotemporal Evolution of NPP and Its Influencing Factors in Kunming City Based on the OPGD Model by ZHANG Zhongzhi, ZHAO Junsan, CHEN Guoping, WANG Lin, LIN Yilin, ZHANG Dandan

“…［Objective］ Clarifying the changes in net primary productivity (NPP) and the driving factors is of great significance to measure the carbon sequestration capacity of vegetation and support carbon sink trading. ［Methods］ Net primary productivity data were obtained based on MODIS-NPP data, and combining the Theil-Sen Median trend analysis, Mann-Kendall test, and the characteristics of spatiotemporal variation of NPP in Kunming from 2001 to 2020 were revealed. …”
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Optimal setting automatic excitation controllers for synchronous generators by R. I. Kanafeev, A. D. Zhirnov, T. G. Klimova

“…On the basis of performed measurements obtained after simulating different perturbations are determined optimal settings. …”
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Urbanization and the excess mortgage risk – an optimal mortgage model by Hongxia Zhang, Heeho Kim

“…We propose a new model to theoretically derive and measure both the optimal mortgage level and the degree of urbanization across different regions of China. …”
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Optimal Canceling of the Physiological Tremor for Rehabilitation in Parkinson’s Disease by Behnam Faraji, Zahra Esfahani, Kourosh Rouhollahi, Davood Khezri

“…Furthermore, to enhance the feasibility of the suggested control strategy, the coefficients of the controller were determined using a hybrid version of the harmony search and cuckoo optimization algorithm. Results: The advantages of the applied method include decreasing hand tremors and applied electric field intensity to the brain; consequently, it leads to reducing adverse effects, such as muscle contraction and speech disorders. …”
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