Building National Identity from Within: The Role of Self-Competence in Strengthening National Identity by B. Baydhowi, M. Preston, V. Syahputra, A.D. Cahyani, D. Rabitha

“…Self-competence can be favorably impacted by decision-making skills and self-assurance in one's ability to make personal decisions. …”
Get full text

Impact of Telemedicine Adoption on Hemiplegia in Patients With Stroke in Florida: Longitudinal Observational Study by Yao Li, Mingshan Zhang, Weiling Ke, Wenwen Li

“…ObjectiveThis study aims to assess whether the adoption of telemedicine influences treatment decisions regarding tPA administration in patients with stroke. …”
Get full text

Patient preferences for anti-hyperglycaemic medication for type 2 diabetes mellitus in China: findings from a national survey by Jing Liu, Lei Si, Yingyao Chen, Yanfeng Ren, Liu Liu, Shimeng Liu, Qi Pan, Xiong Ke, Shiyi Bao, Fuming Li, Yijiang Yu, Yan Wei

“…There exists great preference heterogeneity among patients, which should be taken into account in healthcare decision-making processes.…”
Get full text

Prevalence of mental disorders in adult populations from the Global South following exposure to natural hazards: a meta-analysis by A. Kip, S. Valencia, E. Glunz, S. R. Lowe, K.-P. Tam, N. Morina

“…This will enable informed decision making and resource allocation for those in need. …”
Get full text

Digital mapping of soil erodibility factor in response to land use change using machine learning models by Wudu Abiye, Orhan Dengiz

“…The resulting maps provide a valuable baseline for land use planning, natural resource management, and decision-making processes.…”
Get full text

Evaluation of machine learning methods for prediction of heart failure mortality and readmission: meta-analysis by Hamed Hajishah, Danial Kazemi, Ehsan Safaee, Mohammad Javad Amini, Maral Peisepar, Mohammad Mahdi Tanhapour, Arian Tavasol

“…The analysis revealed a significant risk of bias, primarily due to reliance on retrospective data and inadequate sample size justification. Conclusion In conclusion, this review emphasizes the strong potential of ML models in predicting HF readmission and mortality. …”
Get full text

Measuring Stress, Socialization, and Smoking Behaviors Among Lesbian, Gay, Bisexual, Transgender, Queer, and Other Sexual and Gender Minority Adolescents (the Puff Break Research S... by Linda Salgin, Daniel Kellogg, Jonathan Helm, Aaron J Blashill, Mark Myers, Hee-Jin Jun, Andy C Lim, Jerel P Calzo

“…Finally, qualitative thematic analyses to identify robust tailoring variables, intervention options, and decision rules to support future just-in-time-adaptive intervention development are expected to be completed by May 2026. …”
Get full text

Human-Intelligent Information System Collaboration in Digital Twin Environment: Value Proposition, Key Technologies, and Practical Approaches by Fangrui BAI, Shaobo LIANG, Dan WU, Yuheng REN, Fan YANG

“…There are some limitations due to the limited samples, which can be increased in the future to deepen the mining and analysis to optimize the form of human-intelligent information system collaboration in the digital twin ecosystem.…”
Get full text

Rabbit carcasses as important vectors of multidrug-resistant Enterococcus faecalis, but not E. faecium: prevalence and molecular characterization from a study in Poland by Przemysław Knysz, Krzysztof Szkucik, Michał Gondek

“…This may be attributed to its stronger biofilm-forming ability, as E. faecalis was the only species detected in all Enterococcus-positive samples tested. Rabbit carcasses are also an important vector of multidrug-resistant E. faecalis. …”
Get full text

Predicting pathological response of resectable esophageal squamous cell carcinoma to neoadjuvant anti-PD-1 with chemotherapy using serum inflammation indexes by Peng Song, Zhiyuan Yao, Shuai Song, Zengjin Wen, Xiao Sun, Changlei Li, Huansong Yang, Wenjie Jiao, Yong Cui, Dong Chang

“…PNI-based diagnostic models can be used as a practical tool to identify ideal patients for personalized clinical decisions.…”
Get full text

Digital health intervention for children with ADHD to improve mental health intervention, patient experiences, and outcomes: a study protocol by Nancy Herrera, Franceli L. Cibrian, Lucas M. Silva, Jesus Armando Beltran, Sabrina E. B. Schuck, Gillian R. Hayes, Kimberley D. Lakes

“…Thus, 30 participants will complete the intervention, and 30 will complete the active control, with half of the total sample completing a waitlist period. Discussion Individuals with ADHD have complex needs. …”
Get full text

Optimising a multi-strategy implementation intervention to improve the delivery of a school physical activity policy at scale: findings from a randomised noninferiority trial by Cassandra Lane, Luke Wolfenden, Alix Hall, Rachel Sutherland, Patti-Jean Naylor, Chris Oldmeadow, Lucy Leigh, Adam Shoesmith, Adrian Bauman, Nicole McCarthy, Nicole Nathan

“…There was an estimated 93.4% probability of Adapted PACE being considered noninferior (only 6.6% of the posterior samples crossed the noninferiority margin of -16.4 minutes). …”
Get full text

The diagnostic value of a breast cancer diagnosis model based on serum MiRNAs and serum tumor markers by Xiaohui Li, Feng Wang, Faquan Lin, Binbin Xie, Yi Liu, Yi Xiao, Kai Qin, Weicheng Li, Qiyan Zeng

“…Methods Differentially expressed miRNAs were screened from serum samples of BCa patients and healthy individuals via high-throughput sequencing. …”
Get full text

CAU²DNet: A Dual-Branch Deep Learning Network and a Dataset for Slum Recognition with Multi-Source Remote Sensing Data by Xi Lyu, Chenyu Zhang, Lizhi Miao, Xiying Sun, Xinxin Zhou, Xinyi Yue, Zhongchang Sun, Yueyong Pang

“…The two branches adopt a decision-level fusion mechanism for feature fusion, which means that the results of each are weighted and summed using learnable weights to obtain the final output feature map. …”
Get full text

Local Seismicity Analysis of the Western Part of the Taimyr Peninsula According to the Data of the Single Seismic Station “KOLBA” by Konechnaya Yana, Antonovskaya Galina

“…Despite the fact that individually each criteria is not a direct proof of the man-made events nature, their totality can be taken as a decision to exclude the event from the seismic catalog. …”
Get full text

U.S. adults’ attitudes toward abortion as a (non)essential procedure during the COVID-19 pandemic by Kyla M. Cary, Kristen N. Jozkowski, Brandon L. Crawford, Ronna C. Turner, Danielle Layton, Chloe Lohrmann, Jacqueline Y. Paiz

“…Jackson Women’s Health Organization decision eliminated the federal right to abortion, and many states have severely restricted abortion access, making it important to ask—do people consider abortion essential healthcare? …”
Get full text

A novel cross-validated machine learning based Alertix-Cancer Risk Index for early detection of canine malignancies by Hanan Sharif, Hanan Sharif, Reza Arabi Belaghi, Kiran Kumar Jagarlamudi, Sara Saellström, Liya Wang, Henrik Rönnberg, Staffan Eriksson, Staffan Eriksson

“…However, the Alertix-CRI for all malignancies showed an area under the curve (AUC) of 0.98, demonstrating very high discriminatory capacity, with a sensitivity of 90% and a specificity of 97%.ConclusionThese results demonstrate that the novel Alertix-CRI could be used as a decision-support tool helping clinicians to early differentiate dogs with malignant diseases from healthy. …”
Get full text

Development and validation of a prognostic model based on m6A-related lncRNAs to predict prognosis for papillary renal cell cancer patients by Xianlu Zhang, Jiyuan Hu, Haoyuan Zheng, Jiayi Ren, Siyu Mu, Yiming Chen, Guoli Song, Ya-ang Chen, Gejun Zhang

“…Transcriptomic data of pRCC samples were extracted from the TCGA database. The m6A-related lncRNAs were identified by Pearson correlation analysis. …”
Get full text

Machine Learning-Based Mortality Risk Prediction Model in Patients with Sepsis by Zhang Y, Li C, Ji Y, Wei B, Guo S, Mei X, Wang J

“…Further research with larger sample sizes and external validation is warranted to confirm these findings and enhance the model’s applicability.Keywords: sepsis, machine learning, clinical prediction model, sequential organ failure assessment, acute physiology and chronic health evaluation II, vascular endothelial growth factor…”
Get full text

What are the radiographic prevalence and anatomical patterns of maxillary sinus septa in a Turkish cohort? by Ibrahim Burak Yuksel, Sumeyye Celik Ozsoy, Muhammet Emin Arslan, Fatma Altiparmak, Hatice Yilmaz, Ali Altindag, Guldane Magat

“…Ethical approval was obtained from the Ethics Committee of Necmettin Erbakan University, Faculty of Dentistry (Date: 31.10.2024; Decision No: 2024/495).…”
Get full text