TRENDS IN AVERAGE ANNUAL FOOD CONSUMPTION PER INHABITANT IN ROMANIA by Agatha POPESCU, Irina CHIRCIU, Elena SOARE, Paula STOICEA, Adina IORGA

“…Fixed basis index, growth rate, regression equation, coefficient of determination, graphical method and comparisons were the main procedures used to process. …”
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Longitudinal changes in the intraocular pressure and their related factors among adults aged 40 to 64 years by Hassan Hashemi, Mehdi Khabazkhoob, Mohammad Hassan Emamian, Alireza Jamali, Akbar Fotouhi

“…Abstract To determine the five-year changes in intraocular pressure (IOP) and their related factors among individuals aged 40 to 64 years. …”
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Development and validation of the perceived compassion scale: a reliable tool for assessing patient-centered nursing care by Yasemin Erden, Ayşe Metin, Nurgul Karakurt, Ulviye Aydan Nacak

“…Reliability was evaluated through Cronbach’s Alpha and the split-half method. Statistical analyses were conducted using SPSS 22 and AMOS. …”
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The pharmacokinetic-nephrotoxicity relationships of CMS and CMS-E2 from the perspective of plasma and kidney drug concentrations in rats by Chenxue Guo, Lin Xi, Xingyi Qu, Zhiwei Huang, Size Li, Wanzhen Li, Xiaofen Liu, Jing Zhang

“…Rats were treated intraperitoneally with a single dose of saline, CMS [10, 20 mg/kg of colistin base activity (CBA)], and CMS-E2 (20, 40 mg/kg CBA). An LC-MS/MS method was developed to determine plasma and renal tissue concentrations of CMS/CMS-E2 and colistin/colistin B. …”
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EXPERIMENTAL STUDY OF LOCAL HYDRODYNAMICS AND MASS EXCHANGE PROCESSES OF COOLANT IN FUEL ASSEMBLIES OF PRESSURIZED WATER REACTORS by S. M. Dmitriev, A. A. Barinov, A. N. Pronin, V. D. Sorokin, A. E. Khrobostov

“…The investigation of mass exchange processes consisted of a study of concentration distribution for tracer in experimental model, in determination of attenuation lengths of mass transfer processes behind mixing grids, in calculating of inter-cellar mass exchange coefficient. …”
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Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine by Ibrahim Shomope MS, Kelly M. Percival BS, Nabil M. Abdel Jabbar PhD, Ghaleb A. Husseini PhD

“…RF and SVM models were trained and evaluated using mean absolute error (MAE), mean squared error (MSE), coefficient of determination (R²), and the a20 index as performance metrics. …”
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Impact of resilience, social support, and perceived health status on happiness among nursing students: A cross-sectional study by Nguyen Ngoc Quynh Nga, Diep Thi Tieu Mai, Pham Thi Thuy, Tran Thi Tuyet Linh

“…The ANOVA test, Pearson's correlation coefficient, and multiple linear regression were employed to analyze data with a p-value less than 0.05. …”
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Development of a mental health-related structural stigma measurement framework in the healthcare system setting: A modified Delphi study. by Dristy Gurung, Bhawana Subedi, Brandon A Kohrt, Syed Shabab Wahid, Sauharda Rai, Graham Thornicroft, Petra C Gronholm

“…Smith's salience index was calculated to measure consensus and Kendall's coefficient of concordance to determine the degree of agreement. …”
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Prediction of the Possibility of Hemorrhagic Syndrome during Combined Antiplatelet Therapy According to the Krasnodar Region Registry by Z. G. Tatarintseva, E. D. Kosmacheva, S. V. Kruchinova, V. A. Akinshina, A. A. Khalafyan

“…To develop a model and software module for predicting possible bleeding in patients with ACS combined with AF taking three-component antithrombotic therapy.Materials and Methods. To build prognostic models for the development of hemorrhagic syndrome, a statistical method was used for classification trees and the neural network procedure implemented in the STATISTICA package. …”
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Comparative assessments of myocardial iron load in thalassemia patients between dark blood and bright blood MRI T2* techniques by Jixing Yi, Min Wu, Suzhen Wei, Qiliang Huang, Bumin Liang, Peng Peng, Tao Li, Fengming Xu

“…T2* (DBx-T2*, BBx-T2*) containing all (eight echoes) signals (DB8-T2*, BB8-T2*) and the optimal signal (coefficient of determination R2 > 0.95) were recorded. …”
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Comparative analysis of visible and near-infrared (Vis-NIR) spectroscopy and prediction of moisture ratio using machine learning algorithms for jujube dried under different conditi... by Seda Günaydın, Necati Çetin, Cevdet Sağlam, Kamil Sacilik, Ahmad Jahanbakhshi

“…Among the six mathematical thin-layer models, the Jena & Das model obtained a high coefficient of determination (R2) with experimental data in the three drying methods (open sun, closed shade, and microwave). …”
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Estimation for Reduction Potential Evaluation of CO₂ Emissions from Individual Private Passenger Cars Using Telematics by Masahiro Mae, Ziyang Wang, Shoma Nishimura, Ryuji Matsuhashi

“…CO₂ emissions from individual private passenger cars in 24 car models are estimated by the machine learning model based on random forest regression using data from telematics, and the coefficient of determination for all 24 car models is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mi mathvariant="normal">R</mi><mn>2</mn></msup><mo>=</mo><mn>0.981</mn></mrow></semantics></math></inline-formula>. …”
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Development of machine learning-based standalone GUI application for predicting hydraulic conductivity and compaction parameters of lateritic soils by Lateef Bankole Adamolekun, Muyideen Alade Saliu, Abiodun Ismail Lawal, Ismail Adeniyi Okewale

“…The models’ performance was compared using coefficient of determination (R2), root mean squared error (RMSE), mean absolute percentage error (MAPE) and mean absolute error (MAE). …”
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Gaussian Process Regression Total Nitrogen Prediction Based on Data Decomposition Technology and Several Intelligent Algorithms by WANG Yongshun, CUI Dongwen

“…Total nitrogen (TN) is one of the important indicators to reflect the degree of water pollution and measure the eutrophication status of lakes and reservoirs.To improve the accuracy of TN prediction,based on the empirical wavelet transform (EWT) and wavelet packet transform (WPT) decomposition technology,this paper proposes a Gaussian process regression (GPR) prediction model optimized by osprey optimization algorithm (OOA),rime optimization algorithm (ROA),bald eagle search (BES) and black widow optimization algorithm (BWOA) respectively.Firstly,the TN time series is decomposed into several more regular subsequence components by EWT and WPT respectively.Then,the paper briefly introduces the principles of OOA,ROA,BES,and BWOA algorithms and applies OOA,ROA,BES,and BWOA to optimize GPR hyperparameters.Finally,EWT-OOA-GPR,EWT-ROA-GPR,EWT-BES-GPR,EWT-BWOA-GPR,WPT-OOA-GPR,WPT-ROA-GPR,WPT-BES-GPR,WPT-BWOA-GPR models (EWT-OOA-GPR and other eight models for short) are established to predict the components of TN by the optimized super-parameters.The final prediction results are obtained after reconstruction,and WT-OOA-GPR,WT-ROA-GPR,WT-BES-GPR and WT-BWOA-GPR models based on wavelet transform (WT) are built.Eight models,including EWT-OOA-SVM based on support vector machine (SVM),the paper compares the unoptimized EWT-GPR,WPT-GPR models,and the uncomposed OOA-GPR,ROA-GPR,BES-GPR,and BWOA-GPR models.The models were verified by the monitoring TN concentration time series data of Mudihe Reservoir,an important drinking water source in China,from 2008 to 2022.The results are as follows.① The average absolute percentage error of eight models such as EWT-OOA-GPR for TN prediction is between 0.161% and 0.219%,and the coefficient of determination is 0.999 9,which is superior to other comparison models,with higher prediction accuracy and better generalization ability.② EWT takes into account the advantages of WT and EMD.WPT can decompose low-frequency and high-frequency signals at the same time.Both of them can decompose TN time series data into more regular modal components,significantly improving the accuracy of model prediction,and the decomposition effect is better than that of the WT method.③ OOA,ROA,BES,and BWOA can effectively optimize GPR hyperparameters and improve GPR prediction performance.…”
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Perceptions of Dental Students in Isfahan about Their Learning Environment, and Its Relationship with Academic Burnout by Fatemeh Shojaii, Hajar Shekarchizadeh, Simin Zahra Mohebbi

“…The aim of this study was to determine dental students’ viewpoints on the learning environment in dental schoolsand its relationship with academic burnout.Materials & Methods:In this cross-sectional study, we investigated undergraduate dental students from Isfahan University of Medical Sciences and Islamic Azad University of Isfahan applying a convenient sampling method in 2021. …”
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Active Razor Shell CaO Catalyst Synthesis for Jatropha Methyl Ester Production via Optimized Two-Step Transesterification by A. N. R. Reddy, A. A. Saleh, M. S. Islam, S. Hamdan

“…The regression model adequacy ascertained thru coefficient of determination (R2: 95.81%). A JME yield of 98.80% was noted at C (3.10 wt.%), M (54.24 mol.…”
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The Possibilities of Multiparametric Magnetic Resonance Imaging to Reflect Functional and Structural Graft Changes 1 Year After Kidney Transplantation by Andrejus Bura, Gintare Stonciute-Balniene, Laura Velickiene, Inga Arune Bumblyte, Ruta Vaiciuniene, Antanas Jankauskas

“…T1 mapping by magnetic resonance imaging (MRI) has emerged as a promising method to assess renal structure and function. This study aimed to determine the potential of MRI as a diagnostic tool for evaluating graft function and structural changes in kidney grafts 1 year after transplantation. …”
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Development and validation of the self-regulation of blood donation scale for blood donors by Fahimeh Ranjbar Kermani, Sedigheh Amini Kafi-Abad, Mahtab Maghsudlu, Kamran Mousavi Hosseini, Fatemeh Mohammadali, Atefeh MohammadJafari

“…Background: Because knowledge of blood donor motivation is crucial in guiding recruitment and retention efforts, the present study aimed at developing and validating a new scale as a multidimensional measure of blood donation motivation from the perspective of the self- determination theory. Methods: This study was conducted in three phases from September 2022 to May 2023. …”
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Impact of Land Use Land Cover Changes on Ecosystem Service Values: Implication for Landscape Management by Mersha Engdaye, Degefa Sileshi, Argaw Mekuria, Mengist Wondimagegn

“…Six LULC types were identified using supervised image classification following maximum likelihood method in ArcGIS 10.8 environment. The ESV was estimated following benefit transfer methods based on the coefficients published by Costanza and his team in 2014. …”
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A comprehensive study on in situ stress field characteristics and changes in rock mechanical properties in deep mines in northeastern Yunnan, China by Hui Wang, Bangtao Sun, Cong Cao, Shibo Yu, He Wang, Ye Yuan, Hua Zhong

“…On this basis, a new method using borehole breakouts and drilling‐induced fractures was proposed to determine the stress direction. …”
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