Longitudinal Metabolomics Reveals Metabolic Dysregulation Dynamics in Patients with Severe COVID-19 by Ryo Uchimido, Kenjiro Kami, Hiroyuki Yamamoto, Ryo Yokoe, Issei Tsuchiya, Yoko Nukui, Yuki Goto, Mariko Hanafusa, Takeo Fujiwara, Kenji Wakabayashi

“…In this study, we aimed to investigate metabolic dysregulation over time in patients with severe COVID-19 requiring mechanical ventilation (MV). <b>Methods:</b> In this single-center, prospective, observational study, we obtained 236 serum samples from 118 adult patients on MV in an ICU. …”
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The Effect of Combining mHealth and Health Professional–Led Intervention for Improving Health-Related Outcomes in Chronic Diseases: Systematic Review and Meta-Analysis by Masashi Kanai, Takahiro Miki, Toshiya Sakoda, Yuta Hagiwara

“…This has led to the exploration of innovative solutions, such as mobile health (mHealth) technologies. mHealth, which leverages mobile and wireless technologies, has the potential to transform health care delivery by providing continuous, accessible, and personalized care. …”
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Coherence Analysis of Cardiovascular Signals for Detecting Early Diabetic Cardiac Autonomic Neuropathy: Insights into Glycemic Control by Yu-Chen Chen, Wei-Min Liu, Hsin-Ru Liu, Huai-Ren Chang, Po-Wei Chen, An-Bang Liu

“…Insulin treatment led to a recovery of LF_Coh (0.11 ± 0.04) and HF_Coh (0.24 ± 0.12), though differences remained statistically insignificant (<i>p</i> > 0.05 vs. normal). …”
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Screening and identification of evaluation indicators of low phosphorus tolerant germplasm in Gleditsia sinensis Lam. by Chunyun Lu, Xiurong Wang, Yang Zhao, Rong Zou, Feng Xiao

“…Principal component analysis transformed the 25 indicators into 6 independent comprehensive indicators, with a cumulative contribution rate of 86.743%. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…For each rock class, we applied regression techniques—such as random forest (RF), k-nearest neighbors (k-NN), extreme gradient boosting (XGB), and artificial neural networks (ANN)—to estimate the logarithm of capillary pressure. The methods were tested on blind core samples, and performance comparisons among different estimation methods were based on the relative standard error of predictions.Results indicate that NMR data are sensitive to the pore structure of rocks and significantly improve the prediction of capillary pressure and pore throat size distribution. …”
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Measuring Faculty Excellence: Introducing a Model by Anoush Dehnadi Moghadam

“…Excellence Score = Technical Skills × approach to teaching × Professional Competence The multiplication method was chosen because the presence of competence in all three areas is mandatory, meaning that the absence of competence in one area makes the result equale to  zero. …”
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Efficient identification of genomic insertions and surrounding regions in two transgenic maize events using third-generation single-molecule nanopore sequencing technology by Qing Liu, Qi Wang, Lihua Ning, Ziqi Chen, Chuang Zhang, Yang Liu, Buxuan Qian, Jia Guo, Yuejia Yin

“…Utilizing the sequencing results, the study developed specific detection primers for the maize transformation events, establishing a precise method for detecting newly created transgenic maize events, which will contribute to subsequent safety assessments.…”
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Calculation and Dressing Simulation of the Profile of the Form Grinding Wheel for Modified ZI Worms by Jianxin Su, Jiewei Xu

“…After that, space meshing theory and matrix transformation methods are applied. Thus, the meshing equation between the grinding wheel and the tooth surface during the form grinding is constructed. …”
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Comparison of Obama’s and Trump’s Discourse on Illegal Migration through the Prism of Securitisation by А.А. Воропай, Э. Варпаховскис

“… The article examines the transformation of the discourse on illegal immigration as one of the central and controversial topics of American politics (2009-2021). …”
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A Guide to Integrating Expert Opinion and Fuzzy AHP When Generating Weights for Composite Indices by Mohammad Tariq Al Fozaie, Hairunnizam Wahid

“…One of the most reliable weighting systems is the expert weighting system, where experts on the topic being studied are delegated the weight selection process, and the average of their responses are then transformed into weights. The limitation of this method, however, is the high subjectivity, uncertainty, and inconsistency of the expert responses. …”
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Analysis of Reciprocal Thermal Conductivity on Free Convection Flow along a Wavy Vertical Surface by Tinni Saha, Nazma Parveen, Tarikul Islam

“…The boundary layer equations with the associated boundary conditions that govern the flow are converted into a nondimensional form by using an appropriate transformation. In the domain of a vertical plate that is flat, the resulting method of nonlinear PDEs is mapped and then worked out numerically by applying the implicit central finite difference technique with Newton’s quasilinearization method, and the block Thomas algorithm is well known as the Keller-box method. …”
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The influence of grain boundary character distribution on the high-temperature creep behavior and damage mechanism of Inconel 718 by Dongyang Hao, Qian Wang, Haikun Ma, Dayong Wu, Jie Kang, Huicong Dong, Baocai You, Ning Li, Ru Su

“…Thermomechanical processing as the main method of grain boundary engineering (GBE), can modulate the grain boundary character distribution (GBCD) in turn affects the mechanical properties and stability of alloys at high temperature. …”
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ESTIMATION OF THE ASYMMETRIC VERTICAL VARIATION OF THE SOUTHERN AND NORTHERN HEMISPHERES OF THE EARTH by Wen-Bin Shen Wen-Bin Shen, Rong Sun Rong Sun, Yu. Barkin, Ziyu Shen Ziyu Shen

“…In this study, based on three different methods, we calculate average vertical variations of the two hemispheres from velocity field data under the ITRF2008 (International Terrestrial Reference Frame 2008) solution. …”
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Understanding the determinants of the empowered earthworm farmers’ behavior by Yennita Sihombing, Cahyati Setiani, Munir Eti Wulanjari, I Gede Mahatma Yuda Bakti, Sih Damayanti, Sik Sumaedi, Tri Rakhmawati, Samuel Fery Purba, Lintje Hutahaean, Yiyi Sulaeman, Wasito, Istriningsih, Sortha Simatupang

“…Earthworm (Lumbricus rubellus) farming offers a unique solution for poverty alleviation in rural Indonesia by transforming agricultural waste into economic opportunities while supporting sustainable farming practices. …”
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An R package for divergence analysis of omics data. by Wikum Dinalankara, Qian Ke, Donald Geman, Luigi Marchionni

“…This is a novel framework that is significantly different from existing omics data analysis methods: it allows digitization of continuous omics data at the univariate or multivariate level, facilitates sample level analysis, and is applicable on many different omics platforms. …”
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A whole process resilience management practice in coastal engineering by Yingtao Zhou, Yingtao Zhou, Yingtao Zhou, Chenhui Jiang, Yuanshu Jiang, Yu Zhu, Yu Zhu, Yu Zhu, Yan Jin, Xian Wang, Xi Feng, Weibing Feng

“…The proposed scheme incorporates small-scale numerical simulations for the evaluation and employs high-precision remote sensing data collected over different construction periods to assess the coastline’s transformations during the process of construction. …”
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Comparison of the Treatment Efficiency of Bone Marrow-Derived Mesenchymal Stem Cell Transplantation via Tail and Portal Veins in CCl4-Induced Mouse Liver Fibrosis by Nhung Hai Truong, Nam Hai Nguyen, Trinh Van Le, Ngoc Bich Vu, Nghia Huynh, Thanh Van Nguyen, Huy Minh Le, Ngoc Kim Phan, Phuc Van Pham

“…Notably, there were no differences in treatment effects between tail and portal vein administrations. …”
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Optimizing Location of Car-Sharing Stations Based on Potential Travel Demand and Present Operation Characteristics: The Case of Chengdu by Yu Cheng, Xu Chen, Xiaohua Ding, Linting Zeng

“…We try to find a model to estimate a potential travel demand value for each small grid with three data sources: order data, population data, and Point of Interest (POI) data. This problem is transformed into a binary form and five different methods, Logistic Regression, Logistic Regression with LASSO, Naive Bayes, Linear Discriminant Analysis, and Quadratic Discriminant Analysis, are implemented. …”
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A Gradient-Based Recurrent Neural Network for Visual Servoing of Robot Manipulators with Acceleration Command by Zhiguan Huang, Zhengtai Xie, Long Jin, Yuhe Li

“…Differing from the traditional methods, a gradient-based recurrent neural network (GRNN) for solving the visual servoing issue is newly proposed in this article in the light of the gradient descent method. …”
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Stable descriptors in image recognition tasks by V. B. Melekhin, V. M. Khachumov

“…The objective of the study is to determine various stable characteristics of images (semi-invariants and invariants) as descriptors necessary for the formation of a feature space of standards intended for recognizing images of different nature belonging to different classes of objects. …”
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