Spatial heterogeneity of menstrual discriminatory practices against Nepalese women: A population-based study using the 2022 Demographic and Health Survey. by Geoffrey Barini, Sharon Amima, Damaris Mulwa, Polycarp Mogeni

“…We explored the spatial heterogeneity of menstrual restriction outcomes using the standard Gaussian kernel density approximation method and the spatial scan statistic. The Poisson regression model with robust standard errors was used to assess the association between the different forms of menstrual restriction and the socio-economic, and demographic factors. …”
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Simulation of reasonable shut-in time for shale oil after volume fracturing by LIAO Kai, ZHANG Shicheng, XIE Bobo

“…Based on the law of change in incremental oil volume, a reasonable shut-in time is identified to be between 30 to 45 days. ③ Considering real working conditions, “fracturing & well shut-in time” is proposed as an indicator for optimizing well shut-in, which aims to improve time efficiency and reduce differences between wells. This paper proposes an evaluation method and simulation workflow for assessing the well shut-in effects of volume fractured horizontal wells, offering valuable guidance in optimizing the reasonable shut-in time for shale oil fractured wells.…”
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Anti-Interference Planning of Flight Path in Terminal Maneuvering Area by Han Yun-Xiang, Zhang Jian-Wei, Zhu Jiang-Ping

“…Determining the conflict-free aircraft path that includes uncertainty while efficiently using the available resource is critical for air transportation. …”
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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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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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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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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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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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Application of Fourier Transform Near-Infrared Spectroscopy and Chemometrics for Quantitative Analysis of Milk of Lime (MOL) Used in the Sugar Industry by Radosław Michał Gruska, Alina Kunicka-Styczyńska, Magdalena Molska

“…The predictive performance was assessed using the coefficient of determination (R²). High predictive accuracy was observed for density (PLS: R² = 0.8274; PCR: R² = 0.8795) and calcium oxide availability (PLS: R² = 0.9035; PCR: R² = 0.9115). …”
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Functional and phylogenetic β diversities and their link with clustering/overdispersion and uniqueness/redundancy by Sandrine Pavoine, Carlo Ricotta

“…Here, we develop a new method for partitioning FP β diversity into elementary components to determine how and why FP β diversity differs from species β diversity, with the latter reflecting only differences in species' abundances between communities. …”
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Utilisation willingness for institutional care by the disabled elderly and its influencing factors based on Andersen’s model: a cross-sectional survey of Henan, China by Yan He, Leping Wan, Haiying Dong, Guangmei Yang, Xiaoxiao Liang

“…In the binary logistic regression analysis, whether living alone (OR (95% CI)=0.596 (0.388 to 0.916)), medical payment method (basic medical insurance for urban employees: OR (95% CI)=2.185 (1.091 to 4.377)), having mental illness (OR (95% CI)=2.078 (1.044 to 4.137)) had a statistically significant difference (p&lt;0.05) on the impact on the willingness of the disabled elderly to receive institutional care. …”
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Impact of bladder volume on renal pelvis dimensions in pediatric hydronephrosis by Ahmet Tanyeri, Emir Hüseyin Nevai, Mehmet Burak Çildağ, Mustafa Gök

“…Method: A retrospective analysis was conducted on 113 children aged 4–9 years who were referred for renal ultrasonography (US) between 2019 and 2023. …”
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Associação entre níveis plasmáticos de homocisteína e acidente vascular cerebral isquêmico: estudo transversal analítico Association between plasmatic levels of homocysteine and st... by Lillian Harboe-Gonçalves, Luiz Sérgio Vaz, Marcelo Buzzi

“…METHOD: Transversal analytic observational study of 104 patients with the diagnosis of ischemic stroke and 98 healthy controls had blood homocysteine analyzed by high performance liquid chromatography. …”
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Assessing the impact of five teaching strategies on the academic performance of senior high school students in financial accounting: A case study in Wa by Mahasus Abubakari Kassim, Samuel Marfo, Karim Abu

“…Using Yamane's sample size determination formula and a simple random sampling method, 200 participants were initially recruited to account for potential attrition. …”
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Wavelet Multiresolution Analysis-Based Takagi–Sugeno–Kang Model, with a Projection Step and Surrogate Feature Selection for Spectral Wave Height Prediction by Panagiotis Korkidis, Anastasios Dounis

“…The predictive scheme with the projection step yields a coefficient of determination of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.9991</mn></mrow></semantics></math></inline-formula>, indicating a high level of accuracy. …”
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Modeling residue formation from crude oil oxidation using tree-based machine learning approaches by Mohammad-Reza Mohammadi, Seyyed-Mohammad-Mehdi Hosseini, Behnam Amiri-Ramsheh, Saptarshi Kar, Ali Abedi, Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour

“…Moreover, it recorded a determination coefficient (R2) value of 0.9993, highlighting its exceptional predictive capability. …”
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