Multivariate Regression Analysis for Identifying Key Drivers of Harmful Algal Bloom in Lake Erie by Omer Mermer, Ibrahim Demir

“…The correlation analysis revealed that particulate organic nitrogen, turbidity, and particulate organic carbon were the most influential variables for predicting Chl-a and TSS concentrations. …”
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Technological entrepreneurship readiness by Takawira Ndofirepi, Renier Steyn

“…With each of the individual, as well as the composite variables, significant differences were found across the BRICS countries. …”
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Evaluation of fibrinogen and lipoprotein(a) levels in athlete and non-athlete disabled veteran men by mohsen jafari, danyal emamyan

“…Independent sample t-test was used for comparing of dependent variables means between two groups. Results: Analysis of data showed that mean values of fibrinogen and Lp(a) were lower in experimental group compared to control group (p≤0.05). …”
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The Impact of Cell Phone Usage on Fall Risk and Postural Control During Free-Standing by Michalina Gulatowska, Michalina Błażkiewicz

“…The results indicated that smartphone use, especially texting, significantly increased CoP variability in the anteroposterior direction and Fall Risk Test values, highlighting reduced stability. …”
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Systematic Analysis and Modelling of Profit Maximization on Carsharing by Giulio Giorgione, Dzmitry Kliazovich, Luca Bolzani, Francesco Ciari, Francesco Viti

“…In this paper, we propose an experimental method aimed at developing a model for maximizing service profit. …”
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The Effect of Perceived Organizational Support and Transformational Leadership on Employee Performance (Study on Manufactuning Companies in Cirebon) by Ramadhana Farel Laisya Nazay, Astri Leviyani, Budi Agung Prasetya

“… This study aims to conduct an analysis of the effect of Perceived Organizational Support (POS) and Transformational Leadership on employee performance in manufacturing companies in Cirebon City. …”
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Predicting the risk of pulmonary embolism in patients with tuberculosis using machine learning algorithms by Haobo Kong, Yong Li, Ya Shen, Jingjing Pan, Min Liang, Zhi Geng, Yanbei Zhang

“…Using the development cohort, candidate variables were selected via the Recursive Feature Elimination (RFE) method. …”
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Comparison of the Effects of Cyproterone Compound-Spironolactone, Metformin and Pioglitazone on Serum Levels of High Sensitivity C-Reactive Protein and Complement System in Polycys... by Mesbah Shams, Azar Sattarinezhad, Hossainali Rostamipour, Azar Purkhosrow, Elahe Sattarinezhad

“…Additionally, covariance (ANCOVA) analysis was used to examine differences between groups, adjusting for confounding variables. Probability values of ≤ 0.05 were considered statistically significant.ResultsThe C3, C4, and hs-CRP levels were increased in the CC-SP group while significantly decreased in the pioglitazone group (p<0.05). …”
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Factors Influencing Cervical Cancer Screening: A Cross‐Sectional Study Among Ethnically Diverse Women in the Kumasi Metropolis of Ghana by Abdul‐K. Abubakari, Janet Gross, Ibrahim D. Kwaku, Isaac K. Boateng

“…Binary and multivariable logistic regressions were employed to determine the relationships between the dependent and independent variables. Outcome variables with p‐values < 0.05 were considered statistically significant. …”
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Study of component features of essential oils of <i>Rosmarinus officinalis</i> and <i>Salvia sclarea</i> of Crimean origin by R. E. Ermachenkov, A. L. Markov, M. M. Agaev, E. V. Burtseva, I. I. Terninko

“…Despite the presence of developed chromatographic profiles at the moment there is no information about the possible geographical variability of the demanded essential oils of clary sage and rosemary, obtained from local essential oilseed raw materials.Aim. …”
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Predictive modeling of air quality in the Tehran megacity via deep learning techniques by Abdullah Kaviani Rad, Mohammad Javad Nematollahi, Abbas Pak, Mohammadreza Mahmoudi

“…Key driving variables, including temperature, relative humidity, dew point, wind speed, and air pressure, were considered. …”
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A systematic review of the prevalence of schizophrenia. by Sukanta Saha, David Chant, Joy Welham, John McGrath

“…These gradients, and the variability found in prevalence estimate distributions, can provide direction for future hypothesis-driven research.…”
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Complex multifactorial prediction model for life-threatening ventricular arrhythmias in patients with myocardial infarction by E. V. Averyanova, A. A. Tonkoglaz, A. A. Chernova, N. A. Donetskaya, V. E. Oleynikov

“…MRI data established that the scar tissue mass (36,8±23,7 g) and percentage (28,5±19,8%) in the VT group was higher than in the comparison group (16,9 (6,5; 27,9) g (p=0,025) and 13,3 (5,8; 22,2)% (p=0,045), respectively).Univariate regression analysis revealed following factors associated with the VT risk: history of coronary artery disease, high NT-proBNP values, heart rate turbulence, microvolt TWA, end diastolic dimension, GLS, scar tissue mass, scar area from total myocardial mass (%), night-time heart rate variability parameters — ULfP, TINN, SDANN.Conclusion. …”
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PHARMACOTHERAPY POSSIBILITIES OF CARDIOVASCULAR AUTONOMOUS NEUROPATHY IN CHILDREN WITH TYPE 1 DIABETES MELLITUS AT THE PRECLINICAL STAGE by N. V. Malyuzhinskaya, I. N. Shishimorov, O. V. Magnitskaya, K. V. Stepanenko, O. V. Polyakova, G. V. Klitochenko, I. V. Petrova, S. A. Emelyanova, A. P. Skiba

“…Achievement and maintenance of the target values of glycemic control indicators, as well as the absence of glycemic variability, turned out to be clinically significant for reducing the manifestations of neuropathy. …”
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Comparison of circadian blood pressure profile in Stage 2-3 arterial hypertension patients receiving different antihypertensive combinations by S. D. Mayanskaya, E. V. Malysheva, M. V. Potapova, E. B. Frolova, O. Yu. Mikhoparova, L. I. Gornaeva

“…The analysed parameters included: mean values and variability of systolic and diastolic BP (SBP, DBP), time index and pressure load index for SBP and DBP over 24 hours, dayand night-time, magnitude and velocity of SBP and DBP morning surge (MS), and diurnal/nocturnal BP ratio. …”
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Prevalence of Preeclampsia and Associated Factors among Antenatal Care Attending Mothers at Tirunesh Beijing General Hospital, Addis Ababa, Ethiopia by Esubalew Tesfahun, Selam Tadesse, Awraris Hailu, Abebe Minda, Meseret Ekubay, Behailu Tariku, Abinet Dagnaw

“…The presence of statistical association was determined using an adjusted odds ratio (AOR) with a 95% confidence interval (CI). Variables with P values less than 0.05 were considered statically significant. …”
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A Novel Nomogram for Early Identification of CFS-Like Symptoms in University Students with Infectious Mononucleosis by Deping Sun, Yanan Liang, Fuwei Yang, Lan Liu, Yuqin Yan

“…Objective. This study aims to develop and evaluate a nomogram for predicting the risk of chronic fatigue syndrome (CFS)-like symptoms in university students diagnosed with infectious mononucleosis (IM), using clinical characteristics and laboratory findings as predictive variables. …”
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Prediction of suicidal attempts among Chinese adolescents with mood disorders: a clinical study using a machine learning approach by Jianbing Li, Yinqiu Zhao, Chi Yang, Wenqing Li, Zhihao Huang, Changhe Fan

“…However, there is a need for studies of accurate and efficient SA models specifically for use in adolescents with mood disorders due to a lack of existing research integrating risk variables when predicting clinical SA. As such, this study aimed to explore the potential of ML models to predict SA among adolescents with mood disorders. …”
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Spatiotemporal Evaluation of Soil Water Resources and Coupling of Crop Water Demand Under Dryland Conditions by Yaoyu Li, Kaixuan Li, Xifeng Liu, Zhimin Zhang, Zihao Gao, Qiang Wang, Guofang Wang, Wuping Zhang

“…Efficient water management is critical for sustainable dryland agriculture, especially under increasing water scarcity and climate variability. Shanxi Province, a typical dryland region in northern China characterized by pronounced climatic variability and limited soil water availability, faces severe challenges due to uneven precipitation and restricted water resources. …”
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Can the Atherogenic Index of Plasma (AIP) Be a Prognostic Marker for Good Clinical Outcome After Mechanical Thrombectomy for Acute Ischemic Stroke? by Sena Boncuk Ulaş, Türkan Acar, Halil Alper Eryılmaz, Esra Ünal, Yeşim Güzey Aras, Eren Kılıç, Hakan Saçlı, Salih Salihi, Bilgehan Atılgan Acar

“…AIP values were compared between patients with good (mRS 0–2) and poor (mRS 3–6) clinical outcomes. …”
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