Prescriptive Predictors of Mindfulness Ecological Momentary Intervention for Social Anxiety Disorder: Machine Learning Analysis of Randomized Controlled Trial Data by Nur Hani Zainal, Hui Han Tan, Ryan Yee Shiun Hong, Michelle Gayle Newman

“…ObjectivePrecision medicine approaches were thus harnessed to examine prescriptive predictors of optimization to a 14-day fully self-guided mindfulness ecological momentary intervention (MEMI) over a self-monitoring app (SM). MethodsThis study involved 191 participants who had probable SAD. …”
Get full text

The accuracy of an electronic-Surprise-Question defining end-of-life cohorts in a whole adult population by algorithmic digital risk stratification: the Proactive Risk-Based and Da... by Baldev M. Singh, Nisha Kumari-Dewat, Vijay Klaire, Jonathan Lampitt, Amy Palmer, Adam Ryder, Kamran Ahmed, Mona Sidhu, Hannah Jennens, Ananth Viswanath, Emma Parry

“…Summary: Background: Current methods for identifying end-of-life cannot be applied systematically to large populations. …”
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

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

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

Cost-effectiveness analysis of depression case finding followed by alerting patients and their GPs among older adults in northern England: results from a regression discontinuity s... by Qian Zhao, David John Torgerson, Kerry Jane Bell, Joy Ann Adamson, Caroline Marie Fairhurst, Sarah Cockayne, Jennie Lister, Kalpita Baird, David Ekers

“…Participants with baseline Geriatric Depression Scale (GDS) ≥5 were allocated to the intervention arm and those >5 to SoC. …”
Get full text

Population dynamics and monitoring applied to decision-making by M. J. Conroy, D. C. Lee

“…The next paper, by Martin Drechler and Franz Wätzold (Drechler & Wätzold, 2004), considers the problem of optimally allocating a conservation budget over time to maximize the survival probability of an endangered species. …”
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

“…This probability decreased by half after 50 years. We observed that the type of smear was significantly associated with LIEHG detection. …”
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 prespecified analysis plans, we excluded participants from the primary analysis if they were unable to receive their trial-allocated treatment due to COVID-19 lockdown restrictions. …”
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

“…We investigated frailty’s impact on traumatic subdural hematoma (tSDH), examining its relationship with major complications, length of hospital stay (LOS), mortality, high level of care discharges, and survival probabilities following nonoperative and operative management. …”
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

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

Determination of critical period of weeds control in French bean (Phaseolus vulgaris L.) by Mohammad Jahanbakhshi, Saeed Saeedipour

“…The objectives of this study were to determine the CPWC in French bean, to gather specific information on the competition effects of weeds to this crop, and to understand the time during which yield-reducing competition occurs.   Materials & Methods Field experiments were conducted in 2009-2010 at Azad University Shoushtar Branch Agricultural Research Station (32o 15′ N, 48o 28′ E). …”
Get full text

RISK FACTORS OF DEVELOPMENT OF PLANTATSIONNY AFFORESTATION by Elena Kolesnichenko, Ivan Torzhkov, Yana Radyukova, Svetlana Morkovina

“…In article risk factors of activity of structures offorest business in the sphere offorest afforestation (the fires and reproduction of insects wreckers) are allocated and the technique of an assessment of losses on restoration of a plantation at various options of probability of approach of these risk events for mini- is offered, to a midi- and maxirotational plantations. …”
Get full text

Data-Driven Distributionally Robust Optimization for Solar-Powered EV Charging Under Spatiotemporal Uncertainty in Urban Distribution Networks by Tianhao Wang, Xuejiao Zhang, Xiaolin Zheng, Jian Wang, Shiqian Ma, Jian Chen, Mengyu Liu, Wei Wei

“…The first stage determines day-ahead charging schedules, solar utilization levels, and grid allocations across an urban-scale distribution feeder. …”
Get full text

Building radiomics models based on ACR TI-RADS combining clinical features for discriminating benign and malignant thyroid nodules by Xingxing Chen, Xingxing Chen, Lili Zhang, Bin Chen, Jiajia Lu

“…PurposeThe aim of this study was to establish and validate a radiomics model combining the American College of Radiology Thyroid Imaging, Reporting and Data System (ACR TI-RADS) and clinical features and to build a nomogram that could be utilized to enhance the diagnostic performance of malignant thyroid nodules.MethodFrom January 2019 to September 2022, 329 thyroid nodules from 323 patients who had been referred for surgery and had pathological evidence of them were gathered retrospectively and randomly allocated to training and test cohorts (8:2 ratio). …”
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

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

“…Methods In this retrospective cohort study, we derived data from the eICU Collaborative Research Database (eICU-CRD) to develop and evaluate a predictive model. ​…”
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