Adaptive delta modulation method for arbitrary adaptation coefficients in the sensor network of the mobile ECG monitoring by О. В. Тимченко, В. І. Лозинський

“…The usage of difference methods for information supply in wireless sensor networks can lead to reduction in their power consumption. …”
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A Narrative Review on Manufacturing Methods Employed in the Production of Mesenchymal Stromal Cells for Knee Osteoarthritis Therapy by Rasmus Roost Aabling, Maria Rusan, Anaïs Marie Julie Møller, Naija Munk-Pedersen, Carsten Holm, Brian Elmengaard, Michael Pedersen, Bjarne Kuno Møller

“…Specific attention was given to two key aspects: (1) the cell culture process employed in manufacturing of autologous or allogeneic MSC products, and (2) the post-culture methods employed in storage, reconstitution and administration of the MSCs. …”
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Earthquake landslide detection method combining post-earthquake coherence increase and polarized vegetation damage by Haoran Liu, Ping Duan, Jia Li, Kang Zhao, Xinrui Yu

“…The method first optimizes coherence data to minimize interference from decoherence factors, then introduces the dual-polarization radar vegetation index (DpRVI) to quantify post-earthquake vegetation damage, and finally uses wavelet transform (WT) to fuse this information with coherence increase data for improved detection accuracy. …”
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A Stability indicating TLC-Densitometric Method for the Determination of Remdesivir in presence of Its Degradation Products by Mai H. Abd El-Fattah, Yasmine Ahmed Sharaf, Heba M. El-Sayed, Said A. Hassan

“…The results were statistically compared with those obtained from a reference HPLC method showing no significant differences. Additionally, the method’s environmental impact was evaluated through a greenness assessment, supporting its suitability for routine quality control applications.…”
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OXITEST as a Screening Method to Evaluate Antioxidant Agents: A Study of Oxidative Stability of Fishmeal by Miguel Albrecht-Ruiz, Jordan Vito-Villa, Pedro Cueva Martínez, Alberto Salas-Maldonado

“…The OXITEST method can be employed as a rapid and cost-effective method to evaluate oxidative stability and the effectiveness of antioxidants in FM.…”
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Comparative Study on Total Organic Carbon Content Logging Prediction Method Based on Machine Learning by TANG Shengshou, YANG Bin, JIN Jiulong, LIU Hongrui, DAI Xingyu, PU Jincheng

“…The results show that natural gamma, resistivity, acoustic time difference, compensated density and compensated neutron log data with high correlation with total organic carbon content are selected as input features by using the sensitive feature mining method. …”
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Biomechanical Comparison of the New-Generation Implant Designed for the Fixation of Patella Fractures with the Tension Band Method by Ahmet Ülker, Ahmet Burak Satılmış, Zafer Uzunay, Tolgahan Cengiz, Abdurrahim Temiz, Mustafa Yaşar, Tansel Mutlu, Uygar Daşar

“…The first group was treated with the traditional tension band method, while the second group received the new-generation implant, designed using finite element analysis (FEA) for optimization. …”
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A Capillary-Based Micro Gas Flow Measurement Method Utilizing Laminar Flow Regime by Yuheng Zheng, Dailiang Xie, Zhengcheng Qin, Zhengwei Huang, Ya Xu, Da Wang, Hong Zheng

“…The fitting curve of the flow rate versus the pressure difference derived from the measurement results maintains an excellent linear correlation (R² > 0.99), thus confirming that this method has practical application value in the field of micro gas flow measurement.…”
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Livestock Biometrics Identification Using Computer Vision Approaches: A Review by Hua Meng, Lina Zhang, Fan Yang, Lan Hai, Yuxing Wei, Lin Zhu, Jue Zhang

“…This review systematically overviews the data collection environments and devices used in related research, providing an analysis of the impact of different scenarios on recognition accuracy. Then, the review delves into the analysis and explication of livestock identification methods, based on extant research outcomes, with a focus on the application and trends of advanced technologies such as deep learning. …”
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Application of various canopy resistance calculation methods in vineyard evapotranspiration simulation at daily scale in Northwest China by Jingying Zhang, Dianyu Chen, Xiaotao Hu, Lucheng Qiu, Shujian Wang, Xuanrong Zhu, La Zhuo, Dongyan Zhang, Linzhe Wu, Linlin Zhang

“…By comparison of 5-year (2018–2022) measured daily ET with the Bowen ratio, a canopy resistance optimization method was developed. The model parameter optimization was based on the Bayesian method. …”
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Analytical methods comparison for soil organic carbon determination in Andean Forest of Sangay National Park-Ecuador by Franklin Enrique Cargua Catagña, Marco Vinicio Rodríguez Llerena, Diego Armando Damián Carrión, Celso Guillermo Recalde Moreno, Guido Patricio Santillán Lima

“…It is observed that the amount of total organic carbon obtained by the DUMAS and LOI method (R2 = 0.99) does not differ significantly. …”
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Analysis of Performance and Energy Efficiency for Multi-User Mimo 6G Network Using Beamforming Methods by Muhammad Farhan Haikal, Yunida Yunida, Nasaruddin Nasaruddin

“… This paper addresses the challenge of high energy consumption in sixth-generation (6G) multi-user multiple-input multiple-output (MU-MIMO) networks by analyzing how different beamforming techniques impact network performance and energy efficiency. …”
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Performance Analysis and Improvement of Machine Learning with Various Feature Selection Methods for EEG-Based Emotion Classification by Sherzod Abdumalikov, Jingeun Kim, Yourim Yoon

“…The following feature selection methods were explored: filter (SelectKBest with analysis of variance (ANOVA) <i>F</i>-test), embedded (least absolute shrinkage and selection operator (LASSO) tuned using Bayesian optimization (BO)), and wrapper (genetic algorithm (GA)) methods. …”
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Self-Sensing of Piezoelectric Micropumps: Gas Bubble Detection by Artificial Intelligence Methods on Limited Embedded Systems by Kristjan Axelsson, Mohammadhossien Sheikhsarraf, Christoph Kutter, Martin Richter

“…This is particularly important for highly concentrated drugs such as insulin. Different types of sensors are used to detect gas bubbles: inline on the fluidic channels or inside the pump chamber itself. …”
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Q-learning-based exponential distribution optimizer with multi-strategy guidance for solving engineering design problems and robot path planning by Fengbin Wu, Shaobo Li, Junxing Zhang, Liya Yu, Xuan Xiong, Libang Wu

“…The results indicate that QMEDO ranks first overall on these design problems and is more robust in finding the optimal solution. We further employed the QMEDO to address the mobile robot path planning problem with different initial conditions and obstacles, and the findings exhibit that our QMEDO ranks first in overall performance, has higher path planning accuracy, and better stability. …”
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Modeling of Ozone Interactions with Various Air Pollutants and Meteorological Factors Using Jaya and Teaching-Learning Based Optimization (TLBO) Algorithms by Nurcan Öztürk

“…The accuracy of Jaya and TLBO methods has been determined and these methods have been carried out with four different functions: quadratic, exponential, linear and power. …”
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Effects of harvest maturity coupled with various drying methods on the quality and aroma composition of gray jujube powder by Zhanxia Liu, Hongbin Wu, Yinglin Du, Xinwen Jin, Tarun Belwal, Hui Yang, Xizhe Fu

“…In addition, gas chromatography–mass spectrometry analysis of volatile compounds of gray jujube powder revealed differences in aroma profiles across maturity stages and drying methods. …”
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Estimation of Silage Maize Plant Moisture Content Based on UAV Multispectral Data and Ensemble Learning Methods by Xuchun Li, Jixuan Yan, Caixia Huang, Weiwei Ma, Zichen Guo, Jie Li, Xiangdong Yao, Qihong Da, Kejing Cheng, Hongyan Yang

“…This methodology offers a scalable, non-invasive alternative for PMC estimation, facilitating data-driven irrigation optimization in regions facing water scarcity.…”
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Load Monitoring Methods for Controlling Training Effectiveness on Physical Conditioning and Planning Involvement: A Narrative Review by Anderson G. Macedo, Tiago A. F. Almeida, Danilo A. Massini, David M. de Oliveira, Mário C. Espada, Ricardo A. M. Robalo, Víctor Hernández-Beltrán, José M. Gamonales, Andréia M. S. Vilela Terra, Dalton M. Pessôa Filho

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Initial production prediction for horizontal wells in tight sandstone gas reservoirs based on data-driven methods by Jian Sun, Jianwen Gao, Kang Tang, Long Ren, Yanjun Zhang, Zhipeng Miao, Zhe Zhang

“…This model achieves a training accuracy of 95% and a testing accuracy of 93.33%, with precision, recall, and F1-score values of 95%, 94.12%, and 93.14%, respectively, and it also has a relatively short training time. The method proposed in this paper successfully realizes IPHTSG prediction, providing a decision-making basis for formulating reasonable development plans and optimizing production parameters. …”
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