Sexually transmitted infections and associated factors among Wollo University students, Northeast Ethiopia by Hilina Ayalew, Gedefaw Abeje, Elsabeth Addisu, Natnael Kebede, Ayalew Hassen Mohammed

“…A simple random sampling technique was employed, and data were collected by pre-tested self-administered questionnaire. …”
Get full text

Effect of trace elements and nutrients on 21 autoimmune diseases: a Mendelian randomization study by Ming-Jie Jia, Hua-Fang Yin, Ying-Chao Liang, Feng Jiang, Hui-Lin Li, Hui-Lin Li

“…Outcome GWAS data were derived from the FinnGen database. MR was employed to explore the causal relationships between 9 trace elements and 6 vitamins and autoimmune diseases. …”
Get full text

Investigating slope stability of multiple stopes prone to instability in the Ziluoyi iron ore mining site by Zhongao Yang, Ziling Song, Xiaohua Ding, Mvondo Nga Michele Victoire, Ali Moussa Abdoul Wahab, Barry Oumar, Fanghui Yang, Abdullahi Yusuf Ibrahim, Zhen Gao, Zhaoxi Long

“…An effective algorithm based on the Morgenstern–Price method is employed and its effectiveness is also proved by comparing its factor of safety results with those of Geo-Slope for various slope structures subjected to different loads. …”
Get full text

Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study by Eman H. Alkhammash

“…This study takes advantage of recent advances in deep learning, employing YOLOv11 variants (YOLO11n, YOLO11s, YOLO11m, YOLO11l, and YOLO11x) to classify fires according to their class, assisting in the selection of the correct fire extinguishers for effective fire control. …”
Get full text

Comparative study on deep and machine learning approaches for predicting wind pressures on tall buildings by Mosbeh R. Kaloop, Abidhan Bardhan, Pijush Samui, Jong Wan Hu, Mohamed Elsharawy

“…Experimental results indicate that the employed DNN model can be effectively used in predicting wind-induced pressures on tall buildings.…”
Get full text

Effectiveness of multimethod, community-based educational interventions on the knowledge and attitude to birth preparedness and complications readiness among women in southwest Nig... by Bosede B Afolabi, Ifeoma P Okafor, Mobolanle R Balogun, Adekemi O Sekoni, Duro C Dolapo, Claudia A Hawkins

“…Most women in both groups had formal education, were employed and had their last antenatal care in health facilities. …”
Get full text

Modelling Hysteresis in Shape Memory Alloys Using LSTM Recurrent Neural Network by Mohammad Reza Zakerzadeh, Seyedkeivan Naseri, Payam Naseri

“…To circumvent the complexity of solving these equations, a black box neural network (NN) has been employed in this research to model a rotary actuator actuated by an SMA wire. …”
Get full text

Bibliometric analysis of glycolysis and prostate cancer research from 2004 to 2024 by Congxu Zhu, Jingjing Yang, Lumei Liu, Bonan Li, Tiansong Sun, Wen Sheng, Qinghu He

“…To achieve this objective, we employed CiteSpace software to generate visualizations that illustrate countries/regions, institutions, journals, and keywords. …”
Get full text

Super-twisting sliding mode control of grid-side inverters for wind power generation systems with parameter perturbation by Weiqi Zhang, Yanmin Wang, Muhammad Zeeshan, Fengling Han, Kai Song

“…Effectively engineered WPGSs employ a three-phase grid side inverter (GSI) with an LCL filter linked to the grid to minimize power loss. …”
Get full text

Cultural adaptation of ENABLE (Educate, Nurture, Advise, Before Life Ends) an early palliative care model for Iranian patients with heart failure and their caregivers: a qualitativ... by Arvin Mirshahi, Ali Khanipour-Kencha, Marie Bakitas, J. Nicholas Odom, Rachel Wells, Arpi Manookian

“…Methods This qualitative study employs reflexive thematic analysis (RTA) to guide the cultural adaptation of the ENABLE model. …”
Get full text

Determination of Vibration Properties and Reliable Frequency Estimation for Synchronous Vibrations Through Improved Blade Tip Timing Techniques Without a Once-per-Revolution Sensor by Marios Sasakaros, Luca Mann, Markus Schafferus, Manfred Wirsum

“…Subsequently, the vibration frequencies are accurately estimated, by employing an improved Multi-Sampling method based on Non-Uniform Fast Fourier Transform. …”
Get full text

A Phenomenological Study of the Role of Store Mannequins on the Experienced Responses of Generation-Y Female Customers by Kobra Najafi, Kambiz Heidarzadeh Hanzaee, Mohsen Khounsiavash

“…Methodology A qualitative methodology was employed in this research, involving the selection of participants to explore the role of mannequins. …”
Get full text

Seven Immune-Related Genes’ Prognostic Value and Correlation with Treatment Outcome in Head and Neck Squamous Cell Carcinoma by Rui Mu, Yuehong Shen, Chuanbin Guo, Xinyun Zhang, Hongyu Yang, Huijun Yang

“…The Cox regression coefficient was employed for calculation of the risk score (RS) of IRG signature. …”
Get full text

Revolutionizing Civil Servant’s Work Behavior through Flexible Working Spaces: Digital Transformation &Green Practices at the Ministry of Finance by Puput Yanita Senja, Wahyu Dian Silviani, Rosana Eri Puspita

“… Introduction/Main Objectives: The COVID-19 pandemic forced the Ministry of Finance of the Republic of Indonesia to carry out a digital transformation by employing the concept of the Flexible Working Space (FWS) to ensure its civil servants can use the Work From Anywhere (WFA) system, including the Work From Home (WFH) system. …”
Get full text

Integrating machine learning and structure-based approaches for repurposing potent tyrosine protein kinase Src inhibitors to treat inflammatory disorders by Muhammad Waleed Iqbal, Muhammad Shahab, Zakir ullah, Guojun Zheng, Irfan Anjum, Gamal A. Shazly, Atrsaw Asrat Mengistie, Xinxiao Sun, Qipeng Yuan

“…Molecular docking and molecular dynamic simulation were subsequently employed to evaluate the binding affinity and stability of the proposed compounds. …”
Get full text

Zenith Tropospheric Delay Forecasting in the European Region Using the Informer–Long Short-Term Memory Networks Hybrid Prediction Model by Zhengdao Yuan, Xu Lin, Yashi Xu, Jie Zhao, Nage Du, Xiaolong Cai, Mengkui Li

“…To address the challenges of incomplete information extraction and gradient explosion in a single neural network when forecasting ZTD long-term, this study introduces an Informer–LSTM Hybrid Prediction Model. This model employs a parallel ensemble learning strategy that combines the strengths of both the Informer and LSTM networks to extract features from ZTD data. …”
Get full text

Identification and validation of prognostic biomarkers in ccRCC: immune-stromal score and survival prediction by Fang Lyu, Yuxin Zhong, Qingliu He, Wen Xiao, Xiaoping Zhang

“…The weighted gene co-expression network analysis (WGCNA) was employed to identify gene modules associated with these scores. …”
Get full text

Preoperative prediction of multiple biological characteristics in colorectal cancer using MRI and machine learning by Qiao-yi Huang, Hui-da Zheng, Bin Xiong, Qi-ming Huang, Kai Ye, Shu Lin, Jian-hua Xu

“…After the manual lesion segmentation, 1781 radiomics features were extracted from the transverse T2-weighted image of MRI (T2W-MRI). We employed Spearman's rank correlation coefficient, greedy recursive deletion strategy, minimum redundancy, maximum relevance, least absolute shrinkage, and selection operator regression were utilized to screen for radiological features. …”
Get full text

Privacy-preserving approach for IoT networks using statistical learning with optimization algorithm on high-dimensional big data environment by Fatma S. Alrayes, Mohammed Maray, Asma Alshuhail, Khaled Mohamad Almustafa, Abdulbasit A. Darem, Ali M. Al-Sharafi, Shoayee Dlaim Alotaibi

“…Besides, the sand cat swarm optimizer (SCSO)-based feature selection (FS) process is employed to decrease the high dimensionality problem. …”
Get full text

Development and validation of a nomogram for predicting cough variant asthma diagnosis by Jiao Min, Xiaomiao Tang, Di Zhang, Jin Yang, Fei Li, Wei Lei

“…Univariate and multivariate logistic regression analyses were employed to construct the model, and the accuracy and consistency of the prediction model were subsequently validated. …”
Get full text