Prevalence of cervical dysplasia and its relationship with socio-demographic characteristics in a low-resource setting by Babatunde Enoch Adewumi, Julius kolajo Dare, Rita Omobosola Alabi, Rosemary Oluwatosin Komolafe, Sonnen Atinge, Enoch Olaoluwa Olatoye, Halimat Eyitayo Issa, Bethrand Ozioma Chukwu, Emmanuel Kokori, Alexander Idu Entonu

“…Informed consent was obtained from each participant, and data were collected through structured questionnaires. …”
Get full text

Cross-Project Defect Prediction Using Transfer Learning with Long Short-Term Memory Networks by Hongwei Tao, Lianyou Fu, Qiaoling Cao, Xiaoxu Niu, Haoran Chen, Songtao Shang, Yang Xian

“…This is because LSTM capture long-term dependencies in sequence data and extract features that contain source code structure and context information. …”
Get full text

Two-layer energy scheduling of electrical and thermal smart grids with energy hubs including renewable and storage units considering energy markets by Walid Aich, Ali Basem, Narinderjit Singh Sawaran Singh, Kuwar Mausam, Zahraa Abed Hussein, Saurav Dixit, Naim Ben Ali, Lotfi Ben Said, Wajdi Rajhi, Loghman Mostafazadeh

Get full text

Experimental Study on CHF Limit of Cr-coated Fuel Cladding under High Temperature and High Pressure Flow Condition by FAN Guanhua, FANG Qifei, YAO Xi, PENG Zhenxun, GUO Ming, CHEN Senyang, LYU Lulu, ZHANG Ge, SU Qianhua, LU Donghua

“…Any discrepancies between the CHF verified among the cladding materials are attributed to departure from nucleate boiling phenomena captured during the experiments with the high-resolution thermocouple temperature data. The main parameters that affect the CHF experimental result are inlet temperature, inlet flow rate, outlet pressure and the rod structure parameters. …”

Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis by Ava Mohammadi, Gonzalo Napoles, Yamisleydi Salgueiro

“…TimeLLM, despite tailored prompting for time-series forecasting, failed to outperform task-specific models, with a test MAE of 2.193, RMSE of 3.473, and sMAPE of 22.89%, highlighting the challenges of adapting foundation models trained on different modalities to structured time-series forecasting. Beyond predictive accuracy, interpretability analysis challenges the assumption that attention mechanisms reliably capture feature importance. …”
Get full text

Advanced Scalable Multi-Beam Focusing for Indoor Optical Wireless Networks With IR Radiative Clusters by Sharadhi Gunathilake, Ampalavanapillai Nirmalathas, Kosala Herath, Malin Premaratne

“…Optical wireless networks emerge as a promising solution to the ever-growing data demand for user-centric indoor applications. …”
Get full text

Dietary intake and growth of HIV exposed and unexposed 6–12 months old infants in South Africa by Phumudzo Tshiambara, Marinel Hoffman, Heather Legodi, Yusentha Balakrishna, Ute Feucht

“…A repeated cross‐sectional study used structured questionnaires to collect socio‐demographic, dietary intake, food group data, and anthropometric measurements in the Siyakhula study. …”
Get full text

Parents in the face of their children’s death education – attitudes and selected differentiating factors by Agnieszka Zamarian

“…They completed a set of questionnaires: The Parents’ Attitude towards Death Education Questionnaire (KRET), the Death Attitude Profile Questionnaire (DAP-R-PL), the Death Fear and Fascination Scale (SLFŚ) and the Personal Experiences Related to Death Scale (SODŚ).Results: The original Questionnaire of Parents’ Attitude towards Death Education (KRET) has a three-factor structure confirmed by confirmatory analyzes (CFA). …”
Get full text

Exploring pre-service teachers’ generative AI readiness and behavioral intentions by Phuong Bui, Tiina Korhonen, Sini Kontkanen, Sorella Karme, Satu Piispa-Hakala, Marjaana Veermans

“…These findings highlight the need for structured AI literacy training in teacher education, emphasizing prompt engineering, evaluative judgment, and strategic AI integration. …”
Get full text

A Qualitative Study on the Supportive Care Needs Preferences of Older Colorectal Cancer Patients: Insights from Patient Experiences by Li X, Wu L, Zhang M, Yao L, Zhou N, Li Y, Song X, Zhou H, Song A, Zhou J

“…Xiaowan Li,1,* Luqing Wu,2,* Mengqi Zhang,3,* Liqun Yao,4,* Na Zhou,1 You Li,5 Xinying Song,6 Huiyue Zhou,1 Anni Song,1 Jiao Zhou1 1Nursing Department, Ninth People’s Hospital of Zhengzhou, Zhengzhou, Henan Province, 450053, People’s Republic of China; 2Department of Critical Care Medicine, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian Province, 361000, People’s Republic of China; 3Breast Surgery Department 3, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450000, People’s Republic of China; 4Weifang Center for Disease and Prevention, Weifang, Shandong Province, 261061, People’s Republic of China; 5General Surgery Department, Ninth People’s Hospital of Zhengzhou, Zhengzhou, Henan Province, 450053, People’s Republic of China; 6School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan Province, 450001, People’s Republic of China*These authors contributed equally to this workCorrespondence: Huiyue Zhou, Ninth People’s Hospital of Zhengzhou, Zhengzhou, Henan Province, 450053, People’s Republic of China, Email ZH_Y221220@163.com Xinying Song, School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan Province, 450001, People’s Republic of China, Email songxinying2021@163.comPurpose: This study employs a qualitative research methodology to explore the genuine feelings of older patients with colorectal cancer (OPCRC) regarding their Supportive Care Needs (SCNs), to understand their specific care requirements and to inform the clinical implementation of targeted intervention programs.Methods: Qualitative research was conducted from November 2024 to January 2025 in Zhengzhou, China. Data were collected through in-depth, semi-structured interviews with OPCRC. …”
Get full text

Post-recovery experience among COVID-19 patients: A population-based online survey in India by Nitin Joseph, Prithvi Rajgopal, Paras Chaudhary, Ananya, Shreya Jain, Harish Yadav, Prajwal Kulkarni

“…Methodology: This cross-sectional study was conducted in Mangalore in March 2022. Data were collected using a semi-structured questionnaire designed as a Google Doc. …”
Get full text

Digital transformation in market research in Peru by Paulo César Callupe-Cueva, Augusto Aliaga-Miranda, Luis Ricardo Flores-Vilcapoma, Christian Efrain Raqui-Ramirez, Bernabé Teodoro Vila-Hinojo, Wilmar Salvador Chavarry-Becerra

“…The methodological framework incorporated structured surveys and Ordinary Least Squares (OLS) estimations, with robust validation procedures and adherence to statistical assumptions. …”
Get full text

Navigating electives: Perspectives from phase III MBBS students and faculty in program evaluation by Sujatha Karjigi, Shyamala KK, Divya Gupta, Karthik R

“…Materials and Methods: A cross-sectional survey in which qualitative data on perceptions of electives were collected through an online survey by a validated semi-structured questionnaire with open-ended questions. …”
Get full text

Mineral Composition of Feed and Mineral Soil Utilization in Haramaya District, East Hararghe Zone, Ethiopia by Sefa Salo, Mengistu Urge, Mohammed Yusuf Kurtu

“…This study was carried out to assess feed resources mineral composition and utilization of mineral soil in the Haramaya district of the East Hararghe Zone, Ethiopia. The survey data was collected from four kebeles using a semi-structured questionnaire from 80 respondents (20 from each kebele) selected randomly. …”
Get full text

Magnitude of Hearing Loss Concerning the Site of Tympanic Membrane Perforation: A Cross-Sectional Study at a Single Institution in Rawalpindi by Maheen Alvie, Sunarays Akhtar, Uswah Haleem, Hareem Azhar, Tooba Abbasi, Kamran Zamurrad Malik

“…Exclusion criteria included profound hearing loss, actively discharging middle ears, cholesteatoma, and cognitive impairment. The data were collected using a structured departmental proforma. …”
Get full text

Biopsychosocial Profile of Chronic Alcohol Users: Insights from a Cross-Sectional Study by Luciana Angela Ignat, Raluca Oana Tipa, Alina Roxana Cehan, Vladimir Constantin Bacârea

“…Personalized, evidence-based interventions tailored to both psychological and socio-professional profiles, combined with structured post-discharge support, are essential for improving long-term recovery and reducing the readmission rates.…”
Get full text

Prevalence and associated factors of reading spectacle coverage among adults aged 35 years and above living in Debre Berhan Town, North Shewa, Ethiopia, 2023 by Matiyas Mamo Bekele, Melkamu Temeselew Tegegn, Nebiyat Feleke Adimassu, Abel Sinshaw Assem, Tarekegn CheklieZeleke, Abebizuhan Zigale Bayabil, Getenet Shumet Birhan, Abebech Fikade Shumye

“…Additionally, it serves as a valuable tool for monitoring progress toward achieving universal eye health coverage worldwide.ObjectiveThe aim of this study was to assess the prevalence and associated factors of reading spectacle coverage among adults aged 35 years and above living in Debre Berhan town, North Shewa, Ethiopia.MethodsA community-based cross-sectional study involving 808 adults was conducted in Debre Berhan town from May 8 to June 8, 2023, utilizing a multistage sampling technique. Data were gathered using a pre-tested, structured questionnaire administered by interviewers. …”
Get full text

Quality of life and its associated factors in patients with severe aortic stenosis undergoing transapical transcatheter aortic valve replacement: a cross-sectional study by Xianfeng Liu, Shanshan Lv, Guixia Li, Xuying Guo, Jing Zheng

“…Clinical, demographic, and behavioral data were collected through structured interviews and medical record review. …”
Get full text

Numerical analysis of pressure-dependent characteristics of gas diffusion coefficient based on a bidisperse diffusion model by Xiaojun FENG, Shishi DENG, Quanlin LIU, Enyuan WANG

“…In the existing bidisperse diffusion model, the gas diffusion coefficient is usually regarded as a constant, which ignores the change of gas diffusion coefficient with gas pressure in the complex pore structure of coal, resulting in the relationship between gas diffusion coefficient and gas pressure has not yet been clarified. …”
Get full text

Influence of exercise interventions on functional movement screen scores in athletes: a systematic review and meta-analysis by Ali Asghar Maleki, Seyed Hamed Mousavi, Mohamad Ali Biabangard, Hooman Minoonejad

“…We conducted comprehensive searches of PubMed, Web of Science, Scopus, and Embase (through May 2025) to identify experimental studies reporting pre–post changes in FMS after structured exercise interventions. Two reviewers independently screened and extracted data, assessed study quality using the PEDro scale and ROBINS-I tool, rated evidence certainty via GRADE, and then performed random-effects meta-analyses in RevMan 5.4 to calculate pooled mean differences (MD) with 95% confidence intervals (CI). …”
Get full text