Effect of Harvest Seasons on Biochemical Components and Volatile Compounds in White Teas from Two Cultivars by Fan Huang, Haijun Wu, Fan Luo, Yingchun Wang, Yulong Ye, Yiyun Gong, Xianlin Ye

“…The flavor profile of white tea emerges from the natural biochemical composition of its tender leaves, a delicate balance profoundly shaped by seasonal growing conditions and tea cultivars. …”
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Seasonal shifts in depth-to-water uptake by young thinned and overstocked lodgepole pine (<i>Pinus contorta</i>) forests under drought conditions in the Okanagan Valley, British Co... by E. C. Ellis, R. D. Guy, X. A. Wei

“…Existing reports are highly variable by climatic region, species, and thinning intensity. …”
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CFD-DEM coupling analysis of the negative pressure inlet structural parameters on the performance of integrated positive-negative pressure seed-metering device by Dandan Han, Wei Li, Yunxia Wang, Qing Wang, Zhijun Wu, Yuchao Wang, You Xu, Lijia Xu

“…The structural parameters of the negative pressure inlet pipe can be accurately predicted using the prediction model developed through regression analysis of the central composite test results. …”
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Confirmatory Factor Analysis and Propensity to Cheat Scale Validation in the Ethiopian Public Higher Education Institutions [version 3; peer review: 1 approved, 2 approved with res... by Tesfaye Semela, Samuel Assefa, Dame Taye

“…In order to measure the underlying variables of propensity towards cheating, a factor model is developed using exploratory factor analysis (EFA), and confirmatory factor analysis was employed to validate the students’ perceived PTC. …”
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「情緒勒索量表」中文化之信效度分析 Development and Psychometric Analysis of an Emotional Blackmail Scale by 郭郡羽 Chun-Yu Kuo1, 黃子格 Zi-Ge Huang, 張仁和 Jen-Ho Chang

“…The analysis tested three models: a single-factor model, a first-order three-factor model (with fear, guilt, and obligation as separate but correlated factors), and a second-order three-factor model (where the three factors are linked to a higher-order emotional blackmail factor). …”
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Development of Women Resilience in the Workplace: A Solution to Break the Glass Ceiling by Farajallah Rahimi, Maral Ahmadi Arpanahi

“…The reliability of the measurement tool in this research was also examined through Cronbach's alpha and composite reliability. FindingsThe findings of the research showed that the variables of interaction with the work environment, job adaptability and human resource management measures as antecedent variables have a positive and significant effect on the resilience of female managers. …”
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Role of the Perceived Social Responsibility of the Company and the Psychological Mechanisms to Achieve the Employees' Creative Behavior (Case Study: Electro Kavir Company of Yazd) by Marziyeh Dehghanizadeh, Fatemeh Keshavarzi Hedesh

“…It should be mentioned that in the present study, the highest indicator is related to the variable of emotional commitment, which has eight items and ten times it, the number becomes 80, so the sample size is sufficient for the research model. …”
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Comportamiento parabólico del crecimiento de capas boradas en los aceros Y8A y X12M // Parabolic behavior of boriding layers growth in Y8A and X12M steels by C. Figueroa Hernández, E. Cañete Cisnero, M. Hurtado Ferrer

“…<br />The boriding process is applied in a mixture of silicon carbide and borax (70 and 30%) at 850, 900 and 950 oC temperature<br />during a period of time 2, 4 and 6 hours. As an independent variable the depth of the coat was selected.<br />It was obtained the parabolic growth coefficients, and the activation energy according to temperature, time and the chemical<br />composition of steel.…”
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Analisis Penerimaan SIMPUS Ditinjau dari Persepsi Pengguna di Puskesmas Mojoagung dengan Metode TAM by Mochammad Choirur Roziqin, Demiawan Rachmatta Putro Mudiono, Nuril Amalia

“…Penelitian ini memiliki tujuan untuk melakukan analisis tehadap penerimaan SIMPUS ditinjau dari persepsi pengguna di Puskesmas Mojoagung dengan menggunakan metode Technology Acceptance Model (TAM). Jenis penelitian yaitu analitik kuantitatif dengan pendekatan cross sectional. …”
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NEURAL NETWORKS INTEGRATION INTO LEGAL RESOURCES FOR ANTI-СORRUPTION MEASURES IN INTERNATIONAL ECONOMIC CO-OPERATION by Oleksii Makarenkov

“…The corrupt dimension of international communication is a constant variable, with a variable volume. The presence of virtuous individuals in top public positions within the world's most powerful nations has been demonstrated to reduce the level of global corruption-driven perversion and vice versa. …”
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Predicted quality benefits of achievable performance benchmarks of chronic heart failure care in China: results from a nationwide observational study by Xi Li, Chao Wang, Jingkun Li, Yupeng Wang, Xiaoqiang Bao, Meina Liu, Qiuju Zhang, Chang Yin, Xudong Ma

“…Objectives This study aimed to set a data-driven achievable performance benchmark, explore the process–outcome association and speculate about the net gain in quality improvement with benchmarking.Design Observational study.Setting Patient survey conducted at 466 secondary and tertiary hospitals across 31 provinces, autonomous regions and municipalities in China.Participants 183 334 patients diagnosed with chronic heart failure (CHF) who were treated at 466 Chinese hospitals from January 2011 through May 2017.Primary independent variables Hospital process composite performance (HPCP).Secondary independent variables Patient-level and hospital-level characteristics.Primary outcome measure Patients getting better or recovered after treatment, in-hospital mortality, length of hospital stay (LOS) and medical cost.Methods HPCP was calculated using denominator-based weights. …”
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Associations between weight gain, integrase inhibitors antiretroviral agents, and gut microbiome in people living with HIV: a cross-sectional study by Julien De Greef, Khoi Nguyen Nguyen, Matthias Van Hul, Anthony Puel, Jean Cyr Yombi, Bernard Vandercam, Anne Vincent, Laure Elens, Leïla Belkhir, Vincent Haufroid, Patrice D. Cani

“…Using multiple linear regression, we identified 4 distinct groups of bacteria associated with either dolutegravir, bictegravir, weight loss or weight gain under treatment, allowing a machine learning model to predict 15.9% of the weight gain variability regardless of sex, age and body mass index (RMSE: 0.0126). …”
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Correlation of plasma insulin-like factor 6 level with risk of acute aortic syndrome and adverse prognosis by DONG Wang, DONG Wang, WANG Ying, ZHANG Mingle

“…Spearman correlation analysis was used to assess the relationship between plasma INSL6 and other variables, receiver operating characteristic (ROC) curve was plotted to evaluate the diagnostic efficacy of INSL6 for AAS occurrence, multivariate conditional logistic regression model was utilized to analyze the association between plasma INSL6 and AAS onset, and Kaplan-Meier survival curve and multivariate Cox proportional hazards regression model was applied to analyze the relationship between acute-phase plasma INSL6 level and adverse prognosis in AAS patients. …”
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ANALYSIS OF PROFITABILITY OF INTEGRATED PRODUCTION PROTEIN CONCENTRATE, LACTOSE POWDER WHEY by Slavica ARSIC, Predrag VUKOVIC

“…In article according to performed research, proposes the possibility of applying the „SuperPro Designer software package“ for modeling and analysis of technical and economic variability, including risk analysis and analysis of the impact of pollution reduction through the whey processing unit with integrated production of concentrated protein (WPC 80) and lactose powder (LAC 80). …”
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Integrating geostatistical methods and deep learning for enhanced 87Sr/86Sr isoscape Estimation: A case study in South Korea by Hyeongmok Lee, Go-Eun Kim, Woo-Jin Shin, Yuyoung Lee, Sanghee Park, Kwang-Sik Lee, Jina Jeong, Seung-Ik Park, Sungwook Choung

“…., lithology, tectonic settings) and geochemical compositions, are used as input variables for training a feedforward deep neural network. …”
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Vegetation canopy height shapes bats’ occupancy: a remote sensing approach by F. C. Martins, S. Godinho, N. Guiomar, D. Medinas, H. Rebelo, P. Segurado, J. T. Marques

“…All species’ best-ranking occupancy models included at least one climatic variable (temperature, humidity, or potential evapotranspiration), demonstrating the importance of climate when predicting bat distribution. …”
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Gut Microbiome Diversity and Uric Acid in Serum and Urine by Cecilie Ness, Dmitri Svistounov, Marit D. Solbu, Natalia Petrenya, Neoma Boardman, Kirsti Ytrehus, Trond G. Jenssen, Andrew Holmes, Stephen J. Simpson, Svetlana N. Zykova

“…We found that Shannon index (standardized β = 0.49, P < 0.001) was positively associated with FEUA after adjustment for sex and “sweet” dietary pattern. This model explained 40% of the variability in FEUA (P < 0.001). …”
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Preparation of land subsidence susceptibility map using machine learning methods based on decision tree (case study: Isfahan–Borkhar) by Negar Ghasemi, Iman Khosravi, Ali Bahrami

“…InSAR techniques allow for high-precision measurements of surface deformation across large areas, making them invaluable in understanding and modeling subsidence patterns. When combined with machine learning approaches, these technologies offer even greater potential for developing predictive models and susceptibility maps, enabling proactive risk management. …”
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Genome-wide identification of key genes related to chloride ion (Cl−) channels and transporters in response to salt stress in birch by Xiuyan Bian, Tao Xie, Jiying Chen, Chunxu Li, Dandan Yin, Wenbo Zhang

“…Birch is a significant afforestation tree species with great ecological, economic, and evolutionary value. It is an excellent model system for studying the acclimation and adaptation of woody plants to extreme environmental conditions due to the current advancements in genomics, genetic variability, and extensive studies with a focus on various biotic and abiotic stresses. …”
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Sugar Maple Litter Decay Rates Are Reduced More Strongly by Drought Than by American Beech Proliferation in the Understory by William F. J. Parsons, Claudele Ghotsa Mekontchou, Audrey Maheu, David Rivest

“…We estimated k‐values (year−1) by extending the linearized exponential decay model to 12 Proliferation‐Exclusion‐Species combinations. …”
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