Feature Variable Selection Based on VIS-NIR Spectra and Soil Moisture Content Prediction Model Construction by Nan Zhou, Jin Hong, Bo Song, Shichao Wu, Yichen Wei, Tao Wang

“…Because it governs the physical processes of evapotranspiration and rainfall penetration, surface soil moisture is a significant climatic variable. …”
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Trade uncertainty and investments in an emerging country: a Fourier VAR approach by Mert Akyuz, Muhammed Sehid Gorus, Cihan Gunes

“…Design/methodology/approach – The authors adopt the vector autoregression (VAR) model augmented with Fourier terms. …”
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Uncovering Wolbachia diversity upon artificial host transfer. by Daniela I Schneider, Markus Riegler, Wolfgang Arthofer, Hervé Merçot, Christian Stauffer, Wolfgang J Miller

“…Our study demonstrates that infections by multiple Wolbachia strains can shift in prevalence after artificial host transfer driven by either stochastic or selective processes. Trans-infection of Wolbachia can claim fitness costs in new hosts and we speculate that these costs may have driven the shifts of Wolbachia strains that we saw in our model system.…”
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Representations of Resilience in the Conceptual Field of Psychology by I.S. Bulanova, A.M. Dvoinin, V.K. Dvoinina

“…The article suggests the grounds for systematization of ideas about resilience, which make it possible to capture integrative processes and development trends in them. For this purpose, the method of deductive systematization was used, as well as conceptual analysis. …”
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Filament Type Recognition for Additive Manufacturing Using a Spectroscopy Sensor and Machine Learning by Gorkem Anil Al, Uriel Martinez-Hernandez

“…This study presents a novel approach for filament recognition in fused filament fabrication (FFF) processes using a multi-spectral spectroscopy sensor module combined with machine learning techniques. …”
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Adjustment of angle error and tolerance allocation methods for RV reducers by ZHANG Bowen, ZHOU Jianxing, CUI Quanwei, LIN Kaihong, ZHOU Yadong, XU Wenqiang

“…ObjectiveAiming at the problems that angular errors in key load-bearing components such as crankshafts, cycloidal gears, and pin gear shells during processing and manufacturing lead to the reduction of transmission accuracy and stability of rotary vector (RV) reducers, an angular error adjustment method and a tolerance allocation method for RV reducers based on state space models were proposed.MethodsFirstly, taking the BX40E reducer as the research object, the error transmission chain of the reducer was constructed to illustrate the error transmission path of the RV reducer. …”
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MiR-2284b regulation of α-s1 casein synthesis in mammary epithelial cells of dairy goats by Jinxing Hou, Wenfei Li, Xiaolong Xu, Ao Sun, Ganggang Xu, Zefang Cheng, Haoyuan Zhang, Xiaopeng An

“…Using GMECs (goat mammary epithelial cells) as the research object, the CHECK2 vector of the CSN1S1 gene and the overexpression vector of pcDNA 3.1 were constructed, and the mimics of miR-2284b and the interfering RNA of CSN1S1 were synthesized. …”
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Multi-Band Analog Radio-over-Fiber Mobile Fronthaul System for Indoor Positioning, Beamforming, and Wireless Access by Hang Yang, Wei Tian, Jianhua Li, Yang Chen

“…Once the beam is aligned with the target device at maximum gain and the received signal is properly processed, the EVM of millimeter-wave vector signals remains below 11%.…”
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Data driven models for predicting pH of CO2 in aqueous solutions: Implications for CO2 sequestration by Mohammad Rasool Dehghani, Moein Kafi, Hamed Nikravesh, Maryam Aghel, Erfan Mohammadian, Yousef Kazemzadeh, Reza Azin

“…To fill this research gap, this study developed 15 models comprising five machine learning methods: regression trees, support vector regression, Gaussian process regression, bagged trees, and boosted trees, and three optimization algorithms: random search, grid search, and Bayesian optimization. …”
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Two-dimensional QSAR-driven virtual screening for potential therapeutics against Trypanosoma cruzi by Naseer Maliyakkal, Sunil Kumar, Ratul Bhowmik, Harish Chandra Vishwakarma, Prabha Yadav, Bijo Mathew

“…In our study, we developed a standardized and robust machine learning-driven QSAR (ML-QSAR) model using a dataset of 1,183 Trypanosoma cruzi inhibitors curated from the ChEMBL database to speed up the drug discovery process. Following the calculation of molecular descriptors and feature selection approaches, Support Vector Machine (SVM), Artificial Neural Network (ANN), and Random Forest (RF) models were developed and optimized to elucidate and predict the inhibition mechanism of novel inhibitors. …”
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A Multi-Feature Fusion Approach for Road Surface Recognition Leveraging Millimeter-Wave Radar by Zhimin Qiu, Jinju Shao, Dong Guo, Xuehao Yin, Zhipeng Zhai, Zhibing Duan, Yi Xu

“…Firstly, the discriminability of radar echo signals corresponding to different road surface types is verified via statistical analysis. During this process, six-dimensional statistical features that display remarkable differences are extracted. …”
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Prediction of contact resistance of electrical contact wear using different machine learning algorithms by Zhen-bing Cai, Chun-lin Li, Lei You, Xu-dong Chen, Li-ping He, Zhong-qing Cao, Zhi-nan Zhang

“…Abstract H62 brass material is one of the important materials in the process of electrical energy transmission and signal transmission, and has excellent performance in all aspects. …”
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On ensuring joint tightness on the basis of technological induction by G. A. Pilyushina, P. G. Pyrikov, E. A. Pamfilov, V. V. Kapustin

“…Decrease in the smoothing depth, reduction of the ratio of transverse and longitudinal roughness steps, and increase in the contact area are indicated as the target results of the process preparation of the surfaces of the joint parts. …”
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Creation of the development strategy in enterprise based on dynamic SPACE-analysis by Valeriy Balan, Inna Tymchenko

“…SPACE-analysis, analytic hierarchy process (ANP), expert analysis. Results. The authors proposed a methodological approach to the implementation of dynamic SPACE-analysis company. …”
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Pengukuran Kemiripan Makna Menggunakan Cosine Similarity dan Basis Data Sinonim Kata by Ardi Sanjaya, Ahmad Bagus Setiawan, Umi Mahdiyah, Intan Nur Farida, Aprisa Risky Prasetyo

“…This is because the use of ID based on word groups and slices during the weighting process can increase the similarity value. The average similarity value in the use of ID as a calculating vector is 94.48% and the average similarity value in the comparison method or plot is 69.96%. …”
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The role of education and science in the digital transformation of society by E. D. Butenko

“…Presentation of the author’s study of analogies in the development of large-scale government projects. In the process of writing the article, economic, statistical, logical and other methods of studying, processing and summarizing information were used due to specific goals and objectives. …”
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An Iterative Two-Step Method using Thresholding and SVM to Segment Bones from Knee Magnetic Resonance Images by Alireza Norouzi, Narges Habibi, Zahra Nourbakhsh, Mohd Shafry Mohd Rahim

“…The post-processing step utilized a Canny edge filter and image opening to eliminate the undesired area and to more accurately extract the bone. …”
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Commodity Price Recognition and Simulation of Image Recognition Technology Based on the Nonlinear Dimensionality Reduction Method by Yongbin Liu, Jingjie Wang, Wei Bai

“…Although some traditional algorithms have achieved some results in the process of dimensionality reduction, they also expose their respective defects. …”
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A hybrid approach to financial big data analysis using extended ensemble learning and optimized spark streaming by Muhammad Babar

“…The financial sector faces mounting challenges in processing vast volumes of high-velocity data to support intelligent, real-time decision-making. …”
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PSYCHOLOGICAL ASPECTS OF PERSONALITY SELF-REALIZATION by Pinska Olena

“…Acting as a basis for setting the goals and tasks in the self-realization process, value orientations determine the vector and effectiveness of this process, and act as a kind of measure of its productivity. …”
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