Postoperative nonlethal complications following open heart surgery by Golubović Miodrag, Mihajlović Bogoljub, Kovačević Pavle, Čemerlić-Ađić Nada, Pavlović Katica, Velicki Lazar, Šušak Stamenko

“…Statistical methods of correlation and t-test were used. …”
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Drug-Related Problems and Associated Factors among Patients Admitted with Chronic Kidney Disease at Jimma University Medical Center, Jimma Zone, Jimma, Southwest Ethiopia: A Hospit... by Aster Wakjira Garedow, Eshetu Mulisa Bobasa, Amare Desalegn Wolide, Fantu Kerga Dibaba, Fanta Gashe Fufa, Birtukan Idilu Tufa, Serkadis Debalke, Kabaye Kumela Goro

“…Data were analyzed by using Statistical Package for the Social Sciences (SPSS) version 21.0. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…A Hybrid Framework for Real-Time Data Drift and Anomaly Identification Using Hierarchical Temporal Memory and Statistical Tests: This paper introduces a hybrid framework combining Hierarchical Temporal Memory and Sequential Probability Ratio Test for real-time data drift detection and anomaly identification. …”
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Transcription Analysis of the Myometrium of Labouring and Non-Labouring Women. by Gemma C Sharp, James L Hutchinson, Nanette Hibbert, Tom C Freeman, Philippa T K Saunders, Jane E Norman

“…In this work, gene expression in 48 (22 labouring, 26 non-labouring) lower-segment myometrial samples collected at Caesarean section were analysed using Illumina HT-12 v4.0 BeadChips. Normalised data were compared between labouring and non-labouring groups using traditional statistical methods and a novel network graph approach. …”
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Pore size classification and prediction based on distribution of reservoir fluid volumes utilizing well logs and deep learning algorithm in a complex lithology by Hassan Bagheri, Reza Mohebian, Ali Moradzadeh, Behnia Azizzadeh Mehmandost Olya

“…The three feature selection algorithms utilize statistical computations. These algorithms are utilized to systematically identify and optimize pertinent input features, thereby augmenting model interpretability and predictive efficacy within intricate data-driven endeavors. …”
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Investigation of influence of objective function valley ratio on the determination error of its minimum coordinates by A. V. Smirnov

“…Linear regression analysis and approximation with an artificial neural network model were used for statistical processing of experimental data.Results. …”
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Determinants of Fast-Food Consumption Pattern and Causes of Tendency towards Ready-to-eat Food in Iranian Secondary School Students: A Cross-sectional Study by Esmaeel Abdollahnejad, Arina Karimzad, Masumeh Akbarbegloo

“…Content and face validity of the questionnaire was proved by the faculty members of Khoy University of Medical Sciences. Data were analyzed using descriptive and inferential statistics through SPSS version 19.Results: Our results showed that 68.6% of the participants had a low fast-food consumption pattern. …”
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Prevalence of Dental Fluorosis among Southern Jordanian Population by Amjad M. Al Warawreh, Zaid H. Al Tamimi, Mohammad I. Al Qatawna, Aseel A. Al Momani, Mohammed R. Al Mhaidat, Waddah S. El Naji, Salem AlSaraireh

“…Dental fluorosis status was assessed by using Modified Dean’s Fluorosis Index.” The data collected were subjected to statistical analysis. …”
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Analyzing Visitor Behavior to Enhance Personalized Experiences in Smart Museums: A Systematic Literature Review by Rosen Ivanov, Victoria Velkova

“…The analysis reveals the primary methodologies applied and identifies the visitor behaviors that enable personalized content delivery. Statistical and Data Analysis is the predominant methodology in the reviewed publications. …”
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Weakly Supervised Semantic Segmentation of Mangrove Ecosystem Using Sentinel-1 SAR and Deep Convolutional Neural Networks by Arsalan Ghorbanian, Ardalan Ghorbanian, Seyed Ali Ahmadi, Ali Mohammadzadeh, Amin Naboureh

“…This approach incorporates a U-Net architecture with an EfficientNet-B7 backbone for robust feature extraction, employs Test-Time Augmentation (TTA) with an ensemble strategy to enhance prediction stability, and validates the method’s temporal transferability across multiple years. …”
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Association between Dietary Potassium Intake and Nonalcoholic Fatty Liver Disease and Advanced Hepatic Fibrosis in U.S. Adults by Hao-Kai Chen, Qi-Wen Lan, Yu-Jia Li, Qing Xin, Run-Qi Luo, Jun-Jie Wang

“…The study also sought to identify any potential interactions. Methods. The data employed in this study were obtained from the National Health and Nutrition Examination Survey (NHANES) program, encompassing a period from 2007 to 2018. …”
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A Novel Hybrid Approach to Forecasting Crude Oil Prices Using Local Mean Decomposition, ARIMA, and XGBoost by Jawaria Nasir, Muhammad Aamir, Soofia Iftikhar, A. B. Albidah, Ohud A. Alqasem, Maysaa E. A. Elwahab, Ilyas Khan, Wei Sin Koh

“…The hybrid LMD-SD-ARIMA-XGBOOST model overcomes overfitting by combining statistical and machine learning components, where the decomposition process isolates key features of the data, reducing noise and complexity. …”
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Construction of an indicator library for cities’ sustainable development by Maomao Yan, Feng Yang, Lingna Liu, Dehua Guo, Chao Li

“…In the process of implementing indicators, we further suggest that important indicators with incomplete statistical data should nevertheless be included in the scope of cities’ statistical monitoring. …”
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Prediction models for intraventricular hemorrhage in very preterm infants: a systematic review by Ping Xiong, Yonggang Wei, Lei Li, Houxin Kang, Zhangbin Yu, Hong Tang, Yuanlin Pu

“…It is recommended that future studies augment the sample size and number of events, whilst ensuring that any missing data is addressed in a rational manner. …”
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Characteristics of the Main Factors Affecting Prolonged Spring-summer Extreme Drought Events in Northern Drought-prone Belt by Xiaojuan LU, Yiping LI, Jinsong WANG

“…Purposes Methods Extreme weather and climate events have been exhibiting an intensification under global warming.This intensified extremity thus augments the damaging impacts on both society and the economy.In the Northern Drought-prone Belt （NDPB）， extreme drought events are becoming more frequent and more intense with a broader distribution.In this study， by using statistical analysis and composite analysis， characteristics of the main factors affecting prolonged spring-summer extreme drought events in NDPB are analyzed based on the meteorological drought composite index， precipitation and near-surface air temperature data observed by meteorological stations， reanalysis dataset， sea surface temperature， snow cover， and the sea ice concentration data.Findings Conclusions Results show that the main circulation factors are as follows： the eastward propagating wave trains from Baffin Bay in March， a “positive-negative-positive-negative-positive-negative” geopotential height anomaly from the south of Hudson Bay to the east of Lake Baikal in May， an eastward wave train near the 60°N latitude， the Silk Road wave train and the eastward， weak Western Pacific Subtropical High in June； the main external forcing factors are listed below： the phase transition from La Niña to El Niño， warmer sea surface temperature over the Indian Ocean basin and the central North Atlantic； the shrinking snow cover in the mid-to-high latitudes of Eurasia and between 40°N and 60°N of North America， a snow cover reversal from abnormally high to abnormally low over the Qinghai-Tibet Plateau， a “negative-positive” sea ice concentration anomaly with less near Baffin Bay and Davis Strait but more near Greenland Sea， and a “positive-negative-positive” sea ice concentration anomaly from the Barents Sea to the Kara Sea.…”
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Fostering eco-friendly excellence: exploring the relationship between green human resource practices and organizational environmental performance as perceived by nurses: a cross-se... by Amal Diab Ghanem Atalla, Ayman Mohamed El-Ashry, Sabrein Mahmoud Khalifa Khattab

“…Every query from the nurses was addressed, and justifications were provided. The data was analyzed using statistical techniques such as stepwise regression, ANOVA, t-tests, and Pearson correlation. …”
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Investigation of the Long and Short-Term Relationship Between Exchange Rate and Inflation in Türkiye by İbrahim Aytekin, Seda Bayrakdar, Emre Aksoy

“…Accordingly, in this study, the relationship between the monthly consumer price index, producer price index, and real effective exchange rate in Türkiye between the years 2004-2021 was examined by the time series analysis method. Augmented Dickey-Fuller and Phillips-Perron unit root tests were used to determine the stationarity levels of the data in time series analysis. …”
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A novel deep learning framework with artificial protozoa optimization-based adaptive environmental response for wind power prediction by Sangkeum Lee, Mohammad H. Almomani, Saleh Ali Alomari, Kashif Saleem, Aseel Smerat, Vaclav Snasel, Amir H. Gandomi, Laith Abualigah

“…Additionally, the model demonstrated faster inference times and better statistical significance (p < 0.005) compared to baseline methods. …”
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Impact of a Structured Social Skills Training Program on Adolescents and Young Adults with Level 1 Autism by Leonardo Zoccante, Sara Sabaini, Erika Rigotti, Sophia Marlene Bonatti, Camilla Lintas, Marco Zaffanello

“…Statistical methods included automatic clustering to identify optimal clusters and Pearson’s Chi-square and Fisher’s exact tests to evaluate variable distributions among the clusters. …”
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Physician Attitudes About Ultrasound‐Guided Procedures by Emma Barry, Sanyukta Deshmukh, Vivian Zhang, Antoan Koshar, Haider Butt, Kenneth Rowe, Siamak Moayedi

“…Data analysis included both descriptive and inferential statistical analyses and stratified by categorical descriptors, including variables of formal training, years of experience, and specialty of practice. …”
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