Predicting lymphovascular space invasion in early-stage cervical squamous cell carcinoma using heart rate variability by Junlong Fang, Ming Liu, Zhijing Song, Yifang Zhang, Bo Shi, Jian Liu, Sai Zhang

“…Preoperative 5-minute electrocardiogram (ECG) data were collected from all patients, and their HRV parameters were analysed, including 7 time-domain parameters, 5 frequency-domain parameters, and 2 nonlinear parameters. …”
Get full text

Improving explainability of post-separation suicide attempt prediction models for transitioning service members: insights from the Army Study to Assess Risk and Resilience in Servi... by Emily R. Edwards, Joseph C. Geraci, Sarah M. Gildea, Claire Houtsma, Jacob A. Holdcraft, Chris J. Kennedy, Andrew J. King, Alex Luedtke, Brian P. Marx, James A. Naifeh, Nancy A. Sampson, Murray B. Stein, Robert J. Ursano, Ronald C. Kessler

“…This report presents results of an attempt to refine the model to address these limitations by re-estimating the model in a larger sample (n = 5909) and attempting to develop embedded models for differential risk of post-separation stressful life events (SLEs) known to mediate the association of model predictions with post-separation nonfatal suicide attempts (SAs; n = 4957). Analysis used data from the Army STARRS Longitudinal Surveys. …”
Get full text

Strategy to improve the confidence level of qualitative screening by high resolution mass spectrometry: A case study of mycotoxins in maize by Yan Gao, Mengyu Feng, Xiuqin Li, Yan Zhang, Jinglei Hu, Kangcong Li, Jianhua Duan, Qinghe Zhang

“…In this study, a qualitative screening method was established using HPLC-HRMS on data dependent acquisition for the analysis of mycotoxins in maize. …”
Get full text

Mamba-YOLO-ML: A State-Space Model-Based Approach for Mulberry Leaf Disease Detection by Chang Yuan, Shicheng Li, Ke Wang, Qinghua Liu, Wentao Li, Weiguo Zhao, Guangyou Guo, Lai Wei

“…Mulberry (<i data-eusoft-scrollable-element="1">Morus</i> spp.), as an economically significant crop in sericulture and medicinal applications, faces severe threats to leaf yield and quality from pest and disease infestations. …”
Get full text

Curricula overlap between optometry and other health science training programmes at the university of Kwazulu-Natal, South Africa by Fathima B. Bux, Fezekile SF Gcabashe, Naairah Lakhi, Moeketsi Maphela, Nkazimulo Mhlongo, Faatima Moolla, Urvashni Nirghin, Diane van Staden

“…Data was analyzed manually within an interpretive paradigm, identifying similarities in themes or wording, and cross-checked amongst group members for reliability. …”
Get full text

Impact of short-term soil disturbance on cadmium remobilization and associated risk in vulnerable regions by Zhong Zhuang, Hao Qi, Siyu Huang, Qiqi Wang, Yanan Wan, Huafen Li

“…This study highlights the potential of hybrid data-driven approaches, combining machine learning, mechanistic model and stochastic prediction to simplify the complex environmental process, allowing for integrated risk evaluations.…”
Get full text

The Issues of Improving the Inclusive Education System in Uzbekistan by L. S. Makhmutkhodjaeva

“…The volume of materials can be conditionally divided into several groups - decrees and resolutions of the government of the Republic of Uzbekistan, reports and studies of international organizations, works of scholars and researchers. An analysis of the historiography of the issue showed that despite of a significant number of studies in the field of education, including inclusive education, there are still no studies that analyze foreign experience and integrate that data on study in the field of inclusive education in the Republic of Uzbekistan. …”
Get full text

Psychological distress in adolescence and later economic and health outcomes in the United States population: A retrospective and modeling study. by Nathaniel Z Counts, Noemi Kreif, Timothy B Creedon, David E Bloom

“…<h4>Methods and findings</h4>This analysis estimated the relationship between psychological distress in those aged 15 to 17 years in 2000 and economic and health outcomes approximately 10 years later, accounting for an array of explanatory variables using machine learning-enabled methods. …”
Get full text

Cutting-edge approaches to specific energy prediction in TBM disc cutters: Integrating COSSA-RF model with three interpretative techniques by Jian Zhou, Zijian Liu, Chuanqi Li, Kun Du, Haiqing Yang

“…For this purpose, an SE prediction database was established for training and validating model performance, encompassing 160 sets of experimental data, each with six input parameters: uniaxial compressive strength (UCS), Brazilian tensile strength (BTS), disc cutter diameter (D), cutter tip width (T), cutter spacing (S), and cutter penetration depth (P), along with a target parameter, SE. …”
Get full text

Application of Gamification Teaching in Disaster Education: Scoping Review by Shiyi Bai, Huijuan Zeng, Qianmei Zhong, Yuqi Shen, Lulu Cao, Mei He

“…Two researchers independently screened the literature according to the inclusion and exclusion criteria and extracted the data. ResultsWe included a total of 16 studies in this review, originating from 8 different countries. …”
Get full text

A systematic review of prescription errors in paediatric care by GD Hannibal, NVNN Vithanage, MT Madhushika, TK Sinhabahu, I Kankananarachchi, PLGC Liyanage

“…Two independent reviewers screened citations based on inclusion and exclusion criteria, resolving disagreements through discussion. Data extraction covered study characteristics, prescribing error types, associated factors, and preventive strategies. …”
Get full text

From Disruption to Reconstruction: Implementing Peer Support in Homelessness During Times of Crisis for Health and Social Care Services by Mathieu Isabel, Daniel Turgeon, Émilie Lessard, Andreea-Cătălina Panaite, Gwenvaël Ballu, Odile-Anne Desroches, Ghislaine Rouly, Antoine Boivin

“…This article presents a narrative case study analysis of the specific data on implementation derived from this project. …”
Get full text

Beyond the Drafting Table; Women’s Journey in Architecture as a STEM Career by Francis O. Okeke, Chinelo A. Ozigbo, Emeka J. Mba, Ikechukwu W. Ozigbo, Peter I. Oforji, Rosemary C. Nnaemeka-Okeke, Chioma A. Okeke, Shuang Guo, Benignus U. Ugwu

“…Using a quantitative research approach, data were collected from 137 respondents through structured questionnaires, representing a 97.93% response rate. …”
Get full text

Assessing the Impact of Traffic Emissions on Fine Particulate Matter and Carbon Monoxide Levels in Hanoi through COVID-19 Social Distancing Periods by Nhung H. Le, Bich-Thuy Ly, Phong K. Thai, Gia-Huy Pham, Ich-Hung Ngo, Van-Nguyet Do, Thuy T. Le, Luan V. Nhu, Ha Dang Son, Yen-Lien T. Nguyen, Duong H. Pham, Tuan V. Vu

“…However, there has not been enough data to determine the main source of this pollution. …”
Get full text

Cultivating healthcare innovators: a cross-sectional study on entrepreneurial abilities and influencing factors among nursing undergraduates by Hongyu Yu, Guimin Wen

“…Methods A cross-sectional survey was conducted at the nursing school of a university. Data was collected from 521 undergraduate nursing students using convenience sampling from March to April 2023. …”
Get full text

Digital leadership in quantity surveying: unveiling key characteristics and their role in driving digital transformation by Darren Vermaak, Gerrit Crafford

“…The research is grounded in qualitative data from semi-structured interviews with directors of South African quantity surveying firms, using an interpretivist approach and an inductive methodology. …”
Get full text

Bridging climate science, policy, and communities: collaborative pathways for climate resilience in the Indo-Pacific by Aditi Modi, Mathew Koll Roxy, Shipra Jain, Chi Huyen Truong, Quang-Van Doan, Christopher Jack, Svetlana Jevrejeva, Arvind Singh, Chirag Dhara, Sahana Ghosh

Get full text

The effect of the burn wounds dressing and mechanical debridement training package on nursing interns’ knowledge and executive functions: A quasi-experimental study by Manizhe Otaghi, Mohamadreza Bastami, Yousef Veisani, Hamid Taghinejad, Alireza Vasiee, Arman Azadi

“…Knowledge and executive function in mechanical debridement of burn wounds were assessed using the KMDBWT and EFMDBWT tools before and two weeks after the intervention. Data were analyzed with a standard error of 0.05 using Kolmogorov-Smirnov, independent t, paired t, chi-square, and analysis of covariance tests by SPSS V.16. …”
Get full text

Novel Application of Quantum Computing for Routing and Spectrum Assignment in Flexi-Grid Optical Networks by Oumayma Bouchmal, Bruno Cimoli, Ripalta Stabile, Juan Jose Vegas Olmos, Carlos Hernandez, Ricardo Martinez, Ramon Casellas, Idelfonso Tafur Monroy

“…Additionally, we conducted a comparative analysis between QAOA, integer linear programming, and deep reinforcement learning methods to evaluate the performance of the quantum-based approach relative to classical techniques. …”
Get full text

Impact of mHealth and eHealth on oral health literacy: A systematic review by Ravinder S Saini, Shubham Chopra, Yahya Ahmed Assiri, Fahad Hussain Alhamoudi, Sunil Kumar Vaddamanu, Mudita Chaturvedi, Mohamed Saheer Kuruniyan, Morteza Banakar, Artak Heboyan

“…Using information and technology, eHealth enhances healthcare services by enabling digital administration and improving data interchange and coordination among providers, but its influence on oral health knowledge and practice is unclear. …”
Get full text