Modelling Neonatal Care Pathways for Babies Born Preterm: An Application of Multistate Modelling. by Sarah E Seaton, Lisa Barker, Elizabeth S Draper, Keith R Abrams, Neena Modi, Bradley N Manktelow, UK Neonatal Collaborative

“…Stacked predicted probabilities produced for each week of gestational age provide a useful tool for clinicians when counselling parents about length of stay and for commissioners when considering allocation of resources. …”
Get full text

Enhancing Item Writing Skills In Undergraduate Dental FacultyThrough Constructive Feedback by Yusra Nasir, sabaa amir, Asma Shahid, Tahera Ayub, Navid Rashid Qureshi

“…A non-probability convenience sampling method included all faculty members from the Bachelor of Dental Surgery (BDS) program as participants. …”
Get full text

Prevalence and Description of High‐Grade Intraepithelial Lesions of Cervical Mucosa Cells in a Screening Programme for Cervical Cancer in Isère, France by Christian Balamou, Karine Zysman, Cécile Olicard, Anne Garnier, Arnaud Seigneurin

“…ABSTRACT Objective This study aims to analyse high‐grade intraepithelial lesions (LIEHG) observed in a screening programme from 2010 to 2018 to more accurately describe them and formulate recommendations for best practices in the context of screening evolution following the introduction of an HPV test in primary cervical cancer screening in 2020. Methods This study included 305,940 asymptomatic women aged 25–65 years. …”
Get full text

Optimal Flexibility Provision of Electric Vehicle and Photovoltaic Systems Through Probabilistic Forecasting and Unsuccessful Day-Ahead Market Integration by Anulekha Saha, Arnon Teawnarong, Surachai Chaitusaney

“…Compared to the no-CAF baseline (61.59%), the proposed method reduced utility dependence to 69.10%. Log-normal distributions with low variance (e.g., <inline-formula> <tex-math notation="LaTeX">$\sigma =0.1$ </tex-math></inline-formula> for PV and <inline-formula> <tex-math notation="LaTeX">$\sigma =0.5$ </tex-math></inline-formula> for EV) have consistently achieved strong performance across mean absolute error, root mean square error, and coverage probability metrics&#x2014;delivering accurate forecasts while supporting long-term contracts and grid planning. …”
Get full text

Estimated direct costs of non‐small cell lung cancer by stage at diagnosis and disease management phase: A whole‐disease model by Alessandra Buja, Michele Rivera, Anna De Polo, Eugenio di Brino, Marco Marchetti, Manuela Scioni, Giulia Pasello, Alberto Bortolami, Vincenzo Rebba, Marco Schiavon, Fiorella Calabrese, Giovanni Mandoliti, Vincenzo Baldo, PierFranco Conte

“…This study estimated the direct costs of care for patients with NSCLC by stage at diagnosis, and management phase of pathway recommended in local and international guidelines. Methods Based on the most up‐to‐date guidelines, we developed a very detailed “whole‐disease” model listing the probabilities of all potentially necessary diagnostic and therapeutic actions involved in the management of each stage of NSCLC. …”
Get full text

An application of minimization for ensuring balanced study arms in a group-randomized COVID-19 educational intervention trial by Xu Zhang, Mohammad H. Rahbar, Amirali Tahanan, Cici Bauer, Marcia C. de Oliveira Otto, Alanna C. Morrison, Belinda Reininger, Maria E. Fernandez

“…When randomizing a set of CBGs, we computed the imbalance scores for all possible assignments and used unequal allocation probabilities to implement randomization. …”
Get full text

Algorithms to Identify Copied and Manipulated Spectrum Occupancy Data in Cognitive Radio Networks by Joseph Tolley, Carl B. Dietrich

“…Further, we recommend that the proposed techniques be used in conjunction with other SSDF thwarting methods that use statistics, probability, or machine learning, and can identify a wider range of SSDF attacks, albeit more slowly and less reliably than the proposed methods can identify the specific types of SSDF attacks for which they are effective. …”
Get full text

Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…The AMA employs both quantitative and qualitative methods for operational risk modeling, leveraging databases to collect statistical data and utilizing the loss distribution approach (LDA) to model frequency and severity distributions. …”
Get full text

Frailty Is Associated With Decreased Survival in Adult Patients With Nonoperative and Operative Traumatic Subdural Hemorrhage: A Retrospective Cohort Study of 381,754 Patients by Evan N. Courville, MD, Oluwafemi P. Owodunni, MD, MPH, Jordyn T. Courville, BS, Syed F. Kazim, MD, PhD, Alexander J. Kassicieh, BS, Allyson M. Hynes, MD, Meic H. Schmidt, MD, MBA, Christian A. Bowers, MD

“…Frailty characterized by multisystem impairments significantly predicts poor outcomes, necessitating further investigation. Methods:. A retrospective study examining tSDH patients ≥18 years and assigned an abbreviated injury scale score ≥3, and entered into ACS-TQIP between 2007 and 2020. …”
Get full text

Application of mechanical quantitative techniques in postoperative rehabilitation assessment of anterior cruciate ligament reconstruction: A study protocol. by Zhichun Zhu, Jianyun Zhang, Wenxiang Ouyang, Tiantian Li, Jinsong Xiong, Mi Fan, Jing Guo, Peng Wang, Yongqing Tong, Yulu Yao

“…Categorical data are represented as frequencies (percentages), with intergroup comparisons made using chi-square tests or exact probability methods; continuous data are represented as means ± standard deviations, with intergroup comparisons made using t-tests, analysis of variance, or rank sum tests, and correlation analysis is performed using Spearman's correlation coefficient. …”
Get full text

scRL: Utilizing Reinforcement Learning to Evaluate Fate Decisions in Single-Cell Data by Zeyu Fu, Chunlin Chen, Song Wang, Junping Wang, Shilei Chen

“…Benchmarks on hematopoiesis, mouse endocrinogenesis, acute myeloid leukemia, and gene-knockout and irradiation datasets show that scRL surpasses fifteen state-of-the-art methods in five independent evaluation dimensions, recovering early decision states that precede overt lineage commitment and revealing regulators such as <i>Dapp1</i>. …”
Get full text

Epidemiology of Multiple Myeloma in Novosibirsk (Siberian Federal District) by NV Skvortsova, TI Pospelova, IB Kovynev, GS Soldatova, IN Nechunaeva

“…To analyze major epidemiological parameters of multiple myeloma, i.e. registered incidence, prevalence, mortality, and survival in Novosibirsk, megalopolis in Siberian Federal District. Materials & Methods. The study covered medical records of 335 patients with newly diagnosed multiple myeloma (MM) treated from January 1, 2006 to December 31, 2016 at the Center of Hematology in Novosibirsk. …”
Get full text

Cost Utility Analysis of Internet-Based Cognitive Behavioral Therapy for Major Depressive Disorder: Randomized Controlled Trial by Wenjing Zhou, Yan Chen, Herui Wu, Hao Zhao, Yanzhi Li, Guangduoji Shi, Wanxin Wang, Yifeng Liu, Yuhua Liao, Huimin Zhang, Caihong Gao, Jiejing Hao, Gia Han Le, Roger S McIntyre, Xue Han, Ciyong Lu

“…The seemingly unrelated regression model and the bootstrap method were performed to estimate adjusted ICURs. …”
Get full text

Effects of 8 weeks plyometric training on injury prevention of domestic cricket players: A randomized clinical trial by Aqsa Safdar, Farhan Ahmad, Aisha Amin, Abdul Rehman, Hafiz Muhammad Abu Bakar Rashid

“…Objective: To determine the effects of 8-week plyometric exercises on injury prevention of domestic cricket players. Methods: A randomized clinical trial was conducted at the sports club PAF base Murid, Chakwal. …”
Get full text

Assessing the role of socioeconomic factors-income, education, broadband access, and healthy foods on location-wise disparities in COVID-19 cases by Aindrila Chakraborty, Jaymeen Shah

“…This study examines how the preexisting socioeconomic conditions, income, education, access to broadband internet, and healthy foods affect people’s pandemic-related health-protective behavior and lead to this differential impact in the U.S. Methods This study utilizes a dynamic panel-data-based regression analysis on a nationwide dataset of U.S. counties. …”
Get full text

Outcomes of specialist physiotherapy for functional motor disorder: the Physio4FMD RCT by Glenn Nielsen, Louise Marston, Rachael Maree Hunter, Alan Carson, Laura H Goldstein, Kate Holt, Teresa C Lee, Marie Le Novere, Jonathan Marsden, Irwin Nazareth, Hayley Noble, Markus Reuber, Jon Stone, Ann-Marie Strudwick, Beatriz Santana Suarez, Mark J Edwards

“…In recent years, specialist physiotherapy, informed by an understanding of functional motor disorder, has emerged as a promising treatment, but there is an absence of evidence of its effectiveness from large randomised controlled trials. Methods We conducted a pragmatic, multicentre, randomised controlled trial, comparing specialist physiotherapy for functional motor disorder to treatment as usual, which was defined as community neurological physiotherapy. …”
Get full text

Predicting infection with COVID-19 disease using logistic regression model in Karak City, Jordan [version 3; peer review: 2 approved] by Lina AlTamimi, Liana Dalaeen, Anas Khaleel, Wael Abu Dayyih, Abdallah Ahmed Elbakkoush, Mohammad Niazi, Baker Albadareen, Zainab Zakaraya, Alhareth Ahmad

“…Methods Based on data collected by Google sheet of COVID-19 infected and non-infected persons in Karak city, analysis was applied to predict COVID-19 infection probability using a binary logistic regression model. …”
Get full text

Quantifying the Digitalisation Impact on the EU Economy. Case Study: Germany and Sweden vs. Romania and Greece by Ionescu, R.V., Zlati, M.L., Antohi, V.M., Varlanuta, F.O., Stanciu, S.

“…The analysis covers the period 2013-2025 and quantifies the dynamics of the digitalisation phenomena and processes based on dedicated statistical analyses (frequency series analysis, application of the unicriterion critical probability test, application of the Enter method, performing Pearson correlation tests) by means of the IBM-SPSS 25 software. …”
Get full text

Seasonal movement behavior of domestic goats in response to environmental variability and time of day using Hidden Markov Models by Hua Cheng, Kasper Johansen, Baocheng Jin, Guojun Sun, Matthew F. McCabe

“…The percentage of time allocated to foraging increases hourly from 9:00 am to 8:00 pm across various seasons. …”
Get full text

Interpretable prediction of hospital mortality in bleeding critically ill patients based on machine learning and SHAP by Bingkui Ren, Yuping Zhang, Siying Chen, Jinglong Dai, Junci Chong, Yifei Zhong, Mengkai Deng, Shaobo Jiang, Zhigang Chang

“…The SHapley Additive exPlanations (SHAP) method was applied to interpret the eXtreme Gradient Boosting (XGBoost)model, identifying key prognostic factors in this population. …”
Get full text