Data-driven analysis in the selective oligomerization of long-chain linear alpha olefin on zeolite catalysts: A machine learning-based parameter study by Sung Woo Lee, Marcel Jonathan Hidajat, Seung Hyeok Cha, Gwang-Nam Yun, Dong Won Hwang

“…The ML methods employed in this study were SHapley Additive exPlanations (SHAP) and Sure Independence Screening and Sparsifying Operator (SISSO). While the SHAP method is a well-validated conventional approach, it has limitations due to its high data requirements. …”
Get full text

Prediction of Traction Requirements and Slippage Percentage for Three Plow Types under Various Operational Conditions by Mustafa F. Almoosa, Salim A. Almaliki, Salah M. S. Al-Atab

Get full text

Prediction of Traction Requirements and Slippage Percentage for Three Plow Types under Various Operational Conditions by Mustafa F. Almoosa, Salim A. Almaliki, Salah M. S. Al-Atab

Get full text

Mathematical analysis of scrub typhus seasonal infection with re-scaled transmission rate considering Northeast India reported data from 2010 to 2022 by Biplab Dhar, Mohammad Sajid

Get full text

Comparison of CATs, CURB-65 and PMEWS as triage tools in pandemic influenza admissions to UK hospitals: case control analysis using retrospective data. by Puja R Myles, Jonathan S Nguyen-Van-Tam, Wei Shen Lim, Karl G Nicholson, Stephen J Brett, Joanne E Enstone, James McMenamin, Peter J M Openshaw, Robert C Read, Bruce L Taylor, Barbara Bannister, Malcolm G Semple

“…This was a case-control analysis using retrospectively collected data from the FLU-CIN cohort (1040 adults, 480 children) with PCR-confirmed A/H1N1 2009 influenza. …”
Get full text

A machine learning analysis of suicidal ideation and suicide attempt among U.S. youth and young adults from multilevel, longitudinal survey data by Molly M. Jacobs, Anne V. Kirby, Jessica M. Kramer, Nicole M. Marlow

Get full text

A comprehensive analysis to reveal the underlying molecular mechanisms of natural killer cell in thyroid carcinoma based on single-cell RNA sequencing data by Xiaoqiong Li, Kejiang Wang, Jiaxin Liu, Yan Li

“…CTSC, FN1, SLC34A2 and TMSB4X identified by Pearson correlation analysis were considered as the hub genes. Receiver operating characteristic analysis suggested that hub genes may be potential diagnostic biomarkers. …”
Get full text

Non-linear relationship between the dietary inflammatory index and stroke risk in metabolically healthy obese individuals: an analysis of NHANES 1999-2023 data by Chuanwei Zhao, Yane Yang, Yunjie Yang, Wenzhou Yang, Lin Mu, Yan Jia

“…This study aimed to explore the association between DII and stroke risk in MHO individuals, using data from the National Health and Nutrition Examination Survey (NHANES) 1999-2023.MethodsWe performed a cross-sectional analysis of the NHANES, including 9872 MHO adults—defined as having a body mass index (BMI) ≥ 30 kg/m2 and no more than three metabolic abnormalities. …”
Get full text

Association of central capillary refill time with mortality in adult trauma patients: a secondary analysis of the crash-2 randomised controlled trial data by Sabrina Jegerlehner, Tim Harris, Martin Mueller, Ben Bloom

“…Methods This retrospective observational study analysed data from the CRASH-2 trial, conducted in 274 hospitals across 40 countries and 5 continents between May 2005 and January 2010. …”
Get full text

Operational risk management during disasters: A case of South African tourism small businesses by Wonder Mahembe, Ashley T. Mutezo

“…The framework was empirically tested on data from 208 tourism industry SMMEs using a quantitative research approach. …”
Get full text

Association between alpha-1-acid glycoprotein and frailty in US females aged 20–49 years: analysis of NHANES data (2015–2023) by Yaru Liu, Yunxun Chen, Lijuan Zhou, Yantao Yin, Yuqiong Cao, Guang Li, Tian Xu, Xianxiu Wen

Get full text

A new uterine endometrium preservation hysteroscopic myomectomy: Introduction of improved procedures and a retrospective analysis of 94 cases by Wataru Isono, Masanori Maruyama

“…In this process, we defined the operation time 60 min or over as the longtime operation (LTO) and the SM sized 3 cm or over as the large submucosal leiomyoma (LSL) for detecting the influential factors, including this procedure, on the difficulty of HM. …”
Get full text

Bioelectrical impedance analysis–derived phase angle predicts possible Sarcopenia in patients on maintenance hemodialysis: a retrospective study by Ying Zeng, Yang Chen, Yujie Yang, Ying Qiu, Ping Fu, Huaihong Yuan

“…The prevalence of sarcopenia among MHD patients is 9.8%, while the prevalence of possible sarcopenia is 45.5%. The receiver operating characteristic (ROC) curve analysis showed that for male patients, the AUC of PhA for predicting possible sarcopenia was 0.798, with a sensitivity of 80.36%, specificity of 69.70%, and a cutoff value of 6.20°. …”
Get full text

Spatial differences and formation mechanisms of innovation ecosystem dynamic operational efficiency along the yellow river by Xiaoni Kong, Shuliang Jin, Hongchao Zhao

“…In the present research, both the economic circulation theory with the Innovation Ecosystem and the Data Envelopment Analysis – Malmquist Productivity Index (DEA-Malmquist) model were adopted to analysis the database from 59 cities along the Yellow River Basin. …”
Get full text

Construction and operation of the power environment monitoring system in Hebei Earthquake Agency by Yanrui Sheng

“…The power environment monitoring system for the new data center collects operational data from subsystems such as the environmental monitoring, access control, video, and cooling, and transmits it to the system platform for effective integration, analysis, and processing. …”
Get full text

Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data by Fadi Alharbi, Nishant Budhiraja, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Harshith Guduru, Mohanad Mohammed

“…The proposed approach combines differential gene expression with DESeq2, Linear Models for Microarray (LIMMA), and Least Absolute Shrinkage and Selection Operator (LASSO) regression to reduce multi-omics data dimensionality while preserving relevant biological features. …”
Get full text

Online Intelligent Monitoring System and Key Technologies for Dam Operation Safety by Shuangping Li, Bin Zhang, Guangqin Tong, Yonghua Li, Zuqiang Liu, Bo Shi, Jun Geng, Dingming Liu, Huawei Wang, Qingsong Ai, Jianxin Ding, Zheng Gan

“…By deeply integrating artificial intelligence (AI), Internet of Things (IOT), big data analysis, and geographic information system + building information modeling (GIS + BIM) ecosystems, we conducted a holistic diagnosis of existing monitoring systems to precisely identify operational pain points. …”
Get full text

DATA MINING IN RELATIONAL SYSTEMS by Valentin Filatov, Valerii Semenets, Oleg Zolotukhin

“…Explore the features of the operational specification of the relational data model. …”
Get full text

Evaluation for the operational risk factors of public transportation process based on entropy weighted- DEMATEL method. by Xiaoyan Qi, Xin Huang, Wenlong Zhu

“…By applying the DEMATEL method to the collected data, it becomes evident that safety consciousness stands out as a pivotal factor, with human initiative emerging as a central element in the operational flow of public transportation. …”
Get full text

Examining effective factors on human forces' productivity in bureau of naval operations by Younes Bahadori

“…These questionnaires completed by people among statistical sample contain 16 close questions which were set up according to Likert 5-grade scale and were distributed as 135 numbers that after returning questionnaire, statistical analysis and data processing were accomplished. Analysis was performed in 2 descriptive and inferential statistics levels. …”
Get full text