Correlation and Path Coefficient Analysis of Seed Yield and Yield Components of French Bean (Phaseolus vulgaris L.) Genotypes in Sub-tropical Region by Santosh Kalauni, Deependra Dhakal

“…This research aims to determine the relationship between yield and yield components of French bean using multivariate statistical techniques. The study was conducted at Horticulture Research Station, Dailekh, Nepal for consecutive three year of 2016-2018. …”
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RGB-D Camera and Fractal-Geometry-Based Maximum Diameter Estimation Method of Apples for Robot Intelligent Selective Graded Harvesting by Bin Yan, Xiameng Li

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Association between calcium intake and risk of congestive heart failure: a cross-sectional study from the 2003–2018 NHANES database by Bo Zhu, Li Wan, Xingyu Chen, Zihan Wang, Haiwei Rao, Qing Li, Chen Huang

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Comparison of perioperative efficacy and indications between laparoscopic capsule-preserving resection and partial nephrectomy for renal angiomyolipoma: a decade-long retrospective... by Haipeng Zhang, Guangcan Yang, Changxiu Tian, Wei Song, Houliang Zhang, Jinliang Ni, Ziming Jiang, Keyi Wang, Bo Peng

“…Abstract Background This study aims to compare and evaluate the clinical efficacy of laparoscopic capsule-preserving resection (LCPR) and laparoscopic partial nephrectomy (LPN) in the treatment of renal angiomyolipoma (RAML). Multivariate regression analysis was employed to identify patient characteristics that are most suited for LCPR. …”
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Microplastics in wastewater and sludge from centralized industrial wastewater treatment plants in Ho Chi Minh City, Vietnam by Thuy-Chung Kieu-Le, Tan-Phong Ngo, Minh-Thanh Lai, Ngoc-Huyen Pham, Ngoc-Bao-Tran Nguyen, Phuoc-Dan Nguyen, Thi-Minh-Tam Le, Emilie Strady

“…Potential risks from sludge were also discussed. Robust multivariate regression analysis of 43 WWTPs worldwide underscored the influent concentrations as the strongest predictor influencing effluent concentrations and offering insights into potential evidence-based strategies aligned with Vietnam's 2030 plastic reduction goals.…”
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Examining the efficacy of treatment outcomes for patients with pulmonary tuberculosis in Western China: A retrospective study in a region of high incidence by Jian Zhou, Jinlan Li, Yong Hu, Shijun Li

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Species assemblages and their drivers differ between trees and lianas in a seasonal evergreen forest in Thailand by Wirong Chanthorn, Thorsten Wiegand, Anuttara Nathalang, Rajapandian Kanagaraj, Stuart Davies, Zhenhua Sun, Nitin K. Tripathi, Maxime Réjou‐Méchain, Warren Y. Brockelman

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Does family CEO enhance corporate performance? The case of Jordan by Zaid Saidat, Tareq O Bani-Khalid, Lara Al-Haddad, Zyad Marashdeh

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Lake pulses driven by glacier melting and climate variability by Songtao Ai, Shoukat Ali Shah, Yi Cai, Jiajun Ling, Xinde Chu, Shijin Wang, Yuande Yang, Runchuan Ouyang, Jiachun An, Wolfgang Rack

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Electrofacies Analysis Using a Geostatistical Approach, Northern Iraq Case Study by Hussein S. Hussein

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Disproportionality analysis of drug-induced erectile dysfunction using FAERS database by Xiaona Tian, Dongqiang Luo, Wenling Zeng, Xinyu Zhou, Yishen Chen, DanDan Dai, Caishan Fang, Jianjun Xiao

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Automated Detection of Poor-Quality Scintigraphic Images Using Machine Learning by Anil K. Pandey, Akshima Sharma, Param D. Sharma, Chandra S. Bal, Rakesh Kumar

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The impact of the transition to a green economy on Romania’s economic growth by Dorina Niță, Nadia Stoicuța, Alina Nițescu, Claudia Isac, Oana Dobre-Baron

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Factors associated with ovine footrot lesions in Uruguayan flocks: a cross-sectional study by Waldemir Santiago Neto, Ana Crescionini, Ludmila Slimovich, Caroline da Silva Silveira, Sofía Salada, Martín Fraga, Sergio Fierro

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Evolution and drivers of water use in Northern China by Xiaokang Zheng, Chao Ma, Hong Lv, Fang Wan, Hao Wang

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Statistical modeling and application of machine learning for antibiotic degradation using UV/persulfate-peroxide based advanced oxidation process by Musfekur Rahman Dihan, Md. Ashraful Alam, Surya Akter, Md. Abdul Gafur, Md. Shahinoor Islam

“…Pearson correlation and statistical multivariate linear regression (MLR) were applied to model the removal% and pHfinal of both antibiotics, along with the three machine learning algorithms, Artificial neural network (ANN), support vector machine (SVM), and Random Forest (RF), to make the same predictions. …”
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Prognostic model for the development of cardiomyopathies based on genetic predictors by S. Yu. Nikulina, O. O. Kuznetsova, G. V. Matyushin, A. A. Chernova, V. N. Maksimov

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Development and validation of a preeclampsia prediction model for the first and second trimester pregnancy based on medical history by Qi Xu, Lili Xing, Ting Zhang, Guoli Liu

“…Factors with univariate logistic analysis outcome of p < 0.2 were incorporated into the multivariate logistic regression analysis model, then variable selection by stepwise regression with AIC as the criterion was executed to finally identify the variables used for modeling. …”
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Association Between Cardiometabolic Index and Blood Pressure: A Cross-Sectional Analysis of the NHANES 2015–2018 Data by Lingyan He, Ling Sun, Haihua Pan, Changlin Zhai

“…The relationship between CMI and systolic blood pressure (SBP)/diastolic blood pressure (DBP) was analyzed using multivariate regression, threshold effect analysis, and subgroup analysis. …”
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THE PLACE OF FINANCIAL INSTRUMENTS IN THE INTELLECTUAL CAPITAL MANAGEMENT SYSTEM OF AN ENTERPRISE by Оксана Сторожук, Володимир Мельник, Оксана Синюк, Оксана Нагірна, Олена Халіна, Богдан Колядко

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