Identification of Diagnostically Relevant Biomarkers in Patients with Coronary Artery Disease by Comprehensive Analysis by Wu Z, Mo S, Huang Z, Zheng B

“…The purpose of this research is to determine the diagnostic value and therapeutic potential of the endoplasmic reticulum stress (ERS) genes in CAD.Methods: The clinical information and RNA sequence data were obtained from the GEO database and subsequently subjected to a series of optimization and visualization processes using various analytical techniques, including WGCNA, LASSO, SVM-RFE feature selection, random forest (RF), and XGBoost, as well as R software and Cytoscape. …”
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EWT多重分解与若干新型元启发式算法优化的多层感知器月径流预测 by CAI Liang, BAO Yanfei, CUI Dongwen

“…The prediction accuracy of the EWT^Ⅰ/EWT^Ⅱ/EWT^Ⅲ-FLOA/FLA/APO/ECO/PSO-MLP model improves with the increase of EWT decomposition weight. As a concise and efficient time series decomposition method, EWT^III can decompose the original monthly runoff series into more easily modeled and predictable components with a larger scale.…”
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A Novel Depression Risk Prediction Model Using NHANES Data With Mendelian Randomization Validation by Lin Lin, Liqun Zhang, Jingdong Zhang, Dapeng Ding

“…This study aimed to develop and validate a practical depression risk prediction model based on commonly available biochemical markers, facilitating widespread early screening and timely intervention in general clinical settings. Methods We formulated a model for depression, scrutinizing an assortment of biochemical indicators and their bidirectional interrelationships with depression, employing data derived from the National Health and Nutrition Examination Survey (NHANES) and leveraging the Mendelian randomization (MR) approach, a method that utilizes genetic variants as instrumental proxies to ascertain causal nexus between risk determinants and diseases. …”
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Exploring the synergy between fungal CE15 glucuronoyl esterases and xylanases for lignocellulose saccharification by Christina Pentari, Constantinos Katsimpouras, Mireille Haon, Jean-Guy Berrin, Anastasia Zerva, Evangelos Topakas

“…Results In this study, two CE15 glucuronoyl esterases from the white-rot fungi Artolenzites elegans and Trametes ljubarskyi were heterologously expressed in Pichia pastoris and biochemically characterized on the model substrate D-glucuronic acid ester with cinnamyl alcohol and a variety of pretreated lignocellulosic biomasses. The pretreatment method was shown to be a determining factor in revealing both the activity of the esterases on lignocellulose and their synergistic relationships with other hemicellulases. …”
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Strategies for Soil Salinity Mapping Using Remote Sensing and Machine Learning in the Yellow River Delta by Junyong Zhang, Xianghe Ge, Xuehui Hou, Lijing Han, Zhuoran Zhang, Wenjie Feng, Zihan Zhou, Xiubin Luo

“…In response to the global ecological and agricultural challenges posed by coastal saline-alkali areas, this study focuses on Dongying City as a representative region, aiming to develop a high-precision soil salinity prediction mapping method that integrates multi-source remote sensing data with machine learning techniques. …”
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Study on the Photosynthetic Physiological Responses of Greenhouse Young Chinese Cabbage (<i>Brassica rapa</i> L. <i>Chinensis Group</i>) Affected by Particulate Matter Based on Hyp... by Lijuan Kong, Siyao Gao, Jianlei Qiao, Lina Zhou, Shuang Liu, Yue Yu, Haiye Yu

“…Particulate matter affects both the light environment and air quality in greenhouses, obstructing normal gas exchange and hindering efficient physiological activities such as photosynthesis. …”
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Análise da qualidade visual da paisagem da região de Tibagi, PR, aplicando o sensoriamento remoto Landscape quality analysis of Tibagi, Paraná state, applying the remote sensing by Geraldo S. Landovsky, Daniela B. Batista, Hideo Araki

“…<br>The evaluation of landscapes has been showing an efficient tool for purposes of determining the appropriate land uses, considering the potential attraction of the several types of terrestrial surface covering. …”
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A power analysis framework to aid the design of robust semi-field vector control experiments by Andrea M. Kipingu, Dickson W. Lwetoijera, Kija R. Ng’habi, Samson S. Kiware, Mafalda Viana, Paul C. D. Johnson

“…As compared to a single intervention, an additional intervention required an increase in the number of chambers, while short and long experiments were similar in terms of key aspects such as the number of chambers per treatment. Conclusion Determining the most efficient experimental design for a semi-field experiment will depend on a balance of design choices and resource constraints. …”
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Understanding EMS response times: a machine learning-based analysis by Peter Hill, Jakob Lederman, Daniel Jonsson, Peter Bolin, Veronica Vicente

“…The findings aim to inform strategies for enhancing resource allocation and operational efficiency in EMS systems. Methods A retrospective analysis was conducted using over one million EMS missions from Stockholm, Sweden, between 2017 and 2022. …”
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Molecular genetic markers of breast cancer by K. A. Grishina, T. A. Muzaffarova, V. A. Khaylenko, A. V. Karpukhin

“…The tumor gene mutations in BC, which have been characterized by up-to-date methods, can serve as predictive markers for the efficiency of targeted therapy.…”
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Vascular channel reserves in patients with systemic atherosclerosis and type 2 diabetes mellitus by O V Kamenskaya, I Yu Loginova, Asya Stanislavovna Klinkova, Andrey Anatol'evich Karpenko

“…Aims. To determine vascular channel reserves in patients with systemic atherosclerosis and type 2 diabetes mellitus (T2DM). …”
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Decentralized Nonstationary Fuzzy Neural Network with Meta-Learning-Net by Zhen Zhang, Meiling Yu, Hui Jia

“…To address this limitation, we propose a Decentralized NFNN (DNFNN) that overcomes the obstacles in the backward update process and enhances the efficiency of large-scale optimization. Additionally, we demonstrate improved computational efficiency and establish the linear convergence of the proposed decentralized algorithm. …”
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Complex Bronchofibroscopy in the Diagnosis of Pulmonary Complications in Intensive Care Unit Patients by G. E. Roitberg, V. D. Kreimer, I. V Smirnov, O. B., Malova, N. E. Larina, S. A. Tarabarin, I. A. Khomyakova

“…Objective: to determine the efficiency of bronchofibroscopy (BFS) and cytology of bronchoalveolar lavage fluid (BALF) for the diagnosis of pulmonary complications in resuscitation patients with varying acute therapeutic and surgical diseases. …”
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Transformation of Internal Audit in the Context of New Economic Realities by Yu. A. Linovitsky

“…In the course of the research work, the author employed general scientific methods of cognition: observation, analysis and generalisation. …”
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Audit Operasional: Solusi Atas Biaya DeadStock by Christian - Linardo, Carmel - Meiden, Eddy - Winarso

“…In manufacturing company, effectiveness and efficiency of inventory control can affect the corporate earnings significantly. …”
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Juvenile system: Legal status of convicted persons in the Russian Federation and the Republic of Korea by Darya P. Vyshkvarka, Mikael N. Akhmedov

“…The article examines the specifics of regulating the protection of the rights of minors, approaches to solving problems of family problems and methods of social support for children and families. …”
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A qualitative study on the relationship between doctors and nurses offering primary health at KwaNobuhle (Uitenhage) by M.D. Qolohle, H.H. Conradie, G.A. Ogunbanjo, N.H. Malete

“…The positives were personal growth, efficiency at work, opportunity for education and learning at the primary healthcare level. …”
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Uncertainty Analysis and Benchmark for Nuclear Criticality Safety Experiment about Uranium Solution Multiple-unit System by ZHOU Qi1, XIA Zhaodong1, CHENG Yuting1, SUN Xu1, WANG Fan1, LI Dongpeng1, 2, LI Huanxing1, ZHANG Zhenyang1, ZHU Qingfu1

“…To increasing the production efficiency of nuclear fuel cycle, processing equipment with fissile materials is arranged closer to each other than before. …”

Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…Firstly, considering the comprehensive and complex impact of various meteorological factors on wind power generation, the random forest (RF) method was employed. This involves a comprehensive process of carefully determining the importance of various meteorological factor characteristics, systematically and accurately ranking them, and then extracting the truly optimal features that have a significant impact on subsequent predictions. …”
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Model-free photon analysis of diffusion-based single-molecule FRET experiments by Ivan Terterov, Daniel Nettels, Tanya Lastiza-Male, Kim Bartels, Christian Löw, Renee Vancraenenbroeck, Itay Carmel, Gabriel Rosenblum, Hagen Hofmann

“…Model-free methods to quantify FRET efficiency fluctuations would be desirable in this case. …”
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