Goals and opportunities of bedside hemostasis screening tests by E. V. Roitman, A. A. Shabalina, M. M. Tanashyan, N. Yu. Dmitrieva

“…The software package «IBM SPSS Statistics», ver. 25 (IBM, USA) was used for statistical analysis. The data is presented as Me [Q1; Q3]. The comparative analysis was performed with nonparametric method using Wilcoxon criterion. …”
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Optimization of dye effluent decolorization by halotolerant Halomonas strain D2 in static culture condition by Ali Partovinia, Maryam Otadi, Amirhossein Alaedini

“…Bioremediation experiments in the aqueous phase of the synthetic model effluent have been performed in shake flask scale and static culture condition in an incubator for 10 days. Then the analysis of the resulted data was performed by analysis of variance. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…The new model integrates cumulative NMR data and densely resampled core measurements as training data, with prediction errors quantified throughout the process. …”
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The impact of dietary metabolizable energy levels on the performance of medium-sized geese: A systematic review by Shuo Wang, Chunbo Wei, Jiaxin Yan, Ying Zhang

“…The analysis included tests for inconsistencies in the results by inconsistency model, assessment of publication bias by funnel plots, and data sorting through the robust error meta-regression model. …”
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Measuring the Effective Factors in the Non-Development of the Sustainable Smart City of Tabriz by Ali Zeynali Azim, Mehri Fadaei Haghi, Amin Alizadeh, Mohammad Jodeiri Abbasi, Reza Fathipour, Mohammadali Sharifi

“…SPSS software was used for data analysis. SEM modeling was done using AMOS software. …”
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Machine Translation Performance for Low-Resource Languages: A Systematic Literature Review by Taofik O. Tafa, Siti Zaiton Mohd Hashim, Mohd Shahizan Othman, Hitham Alhussian, Maged Nasser, Said Jadid Abdulkadir, Sharin Hazlin Huspi, Sarafa O. Adeyemo, Yunusa Adamu Bena

“…A total of 69 relevant articles were examined to evaluate the performance of MT, explore persistent challenges and assess the effectiveness of proposed or used solutions. The analysis shows that while NMT has emerged as the predominant approach, its effectiveness is often reduced by the scarcity of training data and the structural complexity of low-resource languages. …”
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Future variation and uncertainty source decomposition in deep learning bias-corrected CMIP6 global extreme precipitation historical simulation by Xiaohua Xiang, Yongxuan Li, Xiaoling Wu, Zhu Liu, Lei Wu, Biqiong Wu, Chuanxin Jin, Zhiqiang Zeng

“…All corrected data showing mean absolute percentage error (MAPE) were consistently reduced to below 0.1. …”
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Wind speed and direction on predicting wind energy availability for a sustainable ecosystem by B. Baranitharan, D. Sivakumar, M. Perarul Selvan

“…The study discovered that the three-parameter Weibull distribution caused less error in the wind speed data distribution pattern than both the Weibull distribution and beta distribution, based on the results of the Anderson-Darling and Kolmogorov-Smirnov tests. …”
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Modelling flood losses of micro-businesses in Ho Chi Minh City, Vietnam by A. Buch, A. Buch, A. Buch, D. Paprotny, K. Rafiezadeh Shahi, K. Rafiezadeh Shahi, H. Kreibich, N. Sairam

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Human Papillomavirus, Human Immunodeficiency Virus, and Oral Microbiota Interplay in Nigerian Youth (HOMINY): A Prospective Cohort Study Protocol by Jia Liu, Esosa Osagie, Paul Akhigbe, Nosakhare Idemudia, Ozoemene Obuekwe, Ruxton Adebiyi, Nicolas Schlecht, Yana Bromberg, Fidelis E Eki-Udoko, Nosayaba Osazuwa-Peters, Modupe Oluseun Coker

“…Oral HR-HPV infection and persistence are significantly higher in people living with HIV (PLWH). Most data on oral HR-HPV in PLWH come from developed countries or adult cohorts. …”
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Structural equation modeling of factors influencing childhood vaccination in Saudi Arabia by Fatimah O. Hobani, Abeer K. Alharthi, Manal F. Alharbi

“…The model fit indices: P value 0.00, Root Mean Square Error of Approximation (RMSEA)= 0.058, Comparative Fit Index (CFI)= 0.866, Tucker Lewis index (TLI)= 0.911, demonstrate the model's overall fit to the data, which indicates a good model fit. …”
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A web-based platform for optimizing healthcare resource allocation and workload management using agile methodology and WISN theory by Akash Gajanan Prabhune, P S Karpaga Priya, Rohit Chandra, Ankur Thakur, Viany R Srihari, Sachin S Bhat

“…However, manual implementation of the WISN methodology is labour-intensive, error-prone, and time-consuming. To address these challenges, the Platform for Resource Allocation and Optimization for Healthcare Facilities (PRAYOJN) platform was developed as a web-based tool to automate WISN calculations, streamline data analysis, and improve workforce planning. …”
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AI-enhanced automation of building energy optimization using a hybrid stacked model and genetic algorithms: Experiments with seven machine learning techniques and a deep neural net... by Mohammad H. Mehraban, Samad ME Sepasgozar, Alireza Ghomimoghadam, Behrouz Zafari

“…Seven machine learning (ML) models, including Linear Regression (LR), Decision Trees (DT), Random Forest Regressor (RFR), Gradient Boosting Machines (GBM), Support Vector Regressor (SVR), K-Nearest Neighbors (KNN), and Extreme Gradient Boosting (XGB), and a deep Feedforward Neural Network (FNN) are developed and assessed in predicting three key performance metrics: Energy Use Intensity (EUI), Predicted Percentage Dissatisfied (PPD), and Heating Load.A hybrid stacked model, combining FNN with XGB, using GBM meta learner, emerged as the top performer, achieving an impressive Coefficient of Determination (R²) of 0.99 and Mean Absolute Percentage Error (MAPE) of 0.02 across all targets. This model was trained and validated using simulation data from selected areas of London. …”
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Adherence to chemotherapy and associated factors among adult patients with cancer in the Amhara region, Ethiopia, 2022 by Sewunet Ademe, Tariku Mohammed, Afework Edmealem, Belachew Tegegne, Bekalu Bewket, Atsedemariam Andualem, Abebaw Bires

“…For analysis, the data were first imported into Epi-Data version 4.6 and then exported to the Statistical Package for Social Science version 26. …”
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FL-QNNs: Memory Efficient and Privacy Preserving Framework for Peripheral Blood Cell Classification by Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, Bhavani Sankar Panda, Hardik Doshi, Nafeesh Ahmad, Vivek Bhardwaj, Gaurav Sharma

“…Consequently, blood analysis enables clinicians to evaluate a person’s physiological state. …”
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Accurate extraction of ocean tidal constituents from coastal satellite altimeter records by Yanguang Fu, Panlong Wang, Fukai Peng, Yikai Feng, Mehdi Khaki, Xiaolong Mi

“…Global tidal models, though improved by data assimilation, often suffer from reduced accuracy in coastal zones due to limited spatial resolution and insufficient nearshore constraints. …”
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A novel soil moisture evaluation framework incorporating brightness temperature and a high-resolution 1 km summer brightness temperature dataset by Ziyue Zhu, Runze Zhang, Bin Fang, Hyunglok Kim, Hoang Hai Nguyen, Venkataraman Lakshmi

“…The 1 km TB dataset, developed by integrating SMAP’s 9 km SM product with radiative transfer modeling (RTM) and Mironov model, provides enhanced spatial resolution and is focused on areas where vegetation water content (VWC) is below 3 kg/m2, allowing for a more detailed analysis of SM variations. When validated against SMAP TB data, this dataset showed a solid correlation (R2 = 0.921) and a low root mean square error (RMSE = 4.254 K), making it a useful resource for fine-scale SM monitoring. …”
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PREDICTION OF VERTICAL IMPACTION OF LOWER WISDOM TOOTH ACCORDING ORTHOPANTOMOGRAPHY OF LOWER JAW by A.M. Hohol, A.I. Pankevych, I.A. Kolisnyk, D.S. Machulenko, Ya.A. Hohol

“…However, if the prognostic estimate is based on orthopantomogram data rather than cone-beam computed tomography, the Olmos` method demonstrates a lower error rate and a more plausible prediction. …”
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Robust machine learning models for calculating the carbon dioxide desublimation point within natural gas mixtures at low temperature conditions by Walid Abdelfattah, Munthar Kadhim Abosaoda, Dharmesh Sur, Menon Soumya V, Prabhat Kumar Sahu, Kamred Udham Singh, R. Sivaranjani, Rohit Chauhan, Siya Singla, Fereydoon Ranjbar

“…While all models demonstrated excellent predictive accuracy, the GPM model provided superior results among black-box tools, exhibiting a mean absolute percentage error (MAPE) of 0.99 %. Furthermore, the GP equation achieved an overall MAPE of 0.65 % for the CDDT data. …”
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A Novel Method for Describing Texture of Scar Collagen Using Second Harmonic Generation Images by Guannan Chen, Gaoqiang Liu, Xiaoqin Zhu, Mingyu Liu, Encai Zhang, Jichun Li, Kun Zhang, Lihang Lin

“…Generalized boosted regression trees were calculated with the computed data, and R² and root-mean-square error (RMSE) statistical analysis were used to determine accuracy. …”
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