Some Aspects of the Epidemiology and Diagnostics of Malignant Skin Neoplasms by V. V. Chebotarev, Z. R. Khismatullina, Y. A. Zakirova

“…The use of non-invasive diagnostic tools can increase the accuracy of clinical diagnosis, thus allowing malignant skin tumours to be detected at early stages and the number of unreasonable surgical interventions to be reduced. A belated diagnosis of malignant skin tumours causes diagnostic errors and inadequate management tactics for patients with skin neoplasms. …”
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Artificial Neural Network-based Model for Predicting Cardiologists’ Over-apron Dose in CATHLABs by Reza Fardid, Fatemeh Farah, Hossein Parsaei, Hadi Rezaei, Mohammad Vahid Jorat

“…Handling high-stress tasks in interventional cardiology departments may cause physicians to overlook the use of dosimeters. …”
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A fully automated hybrid approach for processing high-frequency surface settlement data by Changyu Wang, Zude Ding, Annan Zhou, Zekun Zhu

“…The ELM-based data imputation algorithm preserved settlement trends but mitigated data volatility, with an average Mean Absolute Percentage Error (MAPE) of 28.87 %. In addition, the VMD decomposition further reduces data volatilities and eliminated the need for expert-defined denoising parameters. …”
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The status quo and influencing factors of breastfeeding social support in China based on LASSO regression model by Tian Sun, Chanzhi Duan, Yan Wang, Qing Li

“…Conclusion The level of breastfeeding social support remains to be improved; health care providers were suggested to develop targeted intervention according to the influencing factors.…”
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The effect of pilates training on knee functional tests in youth female volleyball player by Sanaz Rahimi, Ali Asghar Norasteh, Mohamad Mottaghitalab

“…Functional assessments included the Landing Error Scoring System (LESS) and the tuck-jump test, conducted pre- and post-intervention. …”
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Effectiveness of Nursing Counseling on Reliefs Psychological Burdens upon women after Mastectomy by Iqbal M. Abbas, Rusul S. Ghazal

“…Methodology: A quasi-experimental design (one group pretest-posttest design) was conducted on non-probability (purposive) sample of thirty women who had received a mastectomy as an intervention group selected during period in 2nd August to 10th November 2011. …”
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Investigating the accuracy of neural networks for blood pressure prediction in the ICU by Charles J. Gillan, Bartosz Gorecki

“…In this environment, patients often receive pharmacological intervention to increase or decrease blood pressure. …”
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Behavioral Perceptions of Oakland University Female College Students towards Human Papillomavirus Vaccination. by Aishwarya Navalpakam, Mohammed Dany, Inaya Hajj Hussein

“…The participants had a mean knowledge score of 53.0% with a standard error of 2.3% translating to a moderately informed population. …”
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Development of an approach to forecast future takeaway outlet growth around schools and population exposure to takeaways in England by Bochu Liu, Oliver Mytton, John Rahilly, Ben Amies-Cull, Nina Rogers, Tom Bishop, Michael Chang, Steven Cummins, Daniel Derbyshire, Suzan Hassan, Yuru Huang, Antonieta Medina-Lara, Bea Savory, Richard Smith, Claire Thompson, Martin White, Jean Adams, Thomas Burgoine

“…Forecast performance was evaluated based on root mean squared error (RMSE) and mean absolute scaled error (MASE) scores in time-series cross-validation. …”
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Impact of an exercise program combined with dietary advice on avoiding insulin prescription in women with gestational diabetes: a randomized controlled trial by Michel Boulvain, Véronique Othenin-Girard, François R. Jornayvaz, Bengt Kayser

“…Two women in the intervention group were excluded from the analysis (one was randomised in error and one was lost to follow-up). …”
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Digoxin for atrial fibrillation and atrial flutter: A systematic review with meta-analysis and trial sequential analysis of randomised clinical trials. by Naqash J Sethi, Emil E Nielsen, Sanam Safi, Joshua Feinberg, Christian Gluud, Janus C Jakobsen

“…We used Trial Sequential Analysis (TSA) to control for random errors. We used GRADE to assess the quality of the body of evidence.…”
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Self-driving lab for the photochemical synthesis of plasmonic nanoparticles with targeted structural and optical properties by Tianyi Wu, Sina Kheiri, Riley J. Hickman, Huachen Tao, Tony C. Wu, Zhi-Bo Yang, Xin Ge, Wei Zhang, Milad Abolhasani, Kun Liu, Alan Aspuru-Guzik, Eugenia Kumacheva

“…Finding reaction conditions for the synthesis of nanoparticles with targeted characteristics is a time-consuming and resource-intensive trial-and-error process, however closed-loop nanoparticle synthesis enables the accelerated exploration of large chemical spaces without human intervention. …”
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Improved resolution of avian influenza virus using Oxford Nanopore R10 sequencing chemistry by Jeremy D. Ratcliff, Brian Merritt, Hannah Gooden, Jurre Y. Siegers, Abhinaya Srikanth, Sokhoun Yann, Sonita Kol, Sarath Sin, Songha Tok, Erik A. Karlsson, Peter M. Thielen

“…This accelerates the ability to respond quickly to outbreaks, potentially improving impacts on public health, agriculture, and the economy by enabling more accurate and timely interventions.…”
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Psychological and Social Factors in Jury Decision-Making: An Analysis of the Influence of Implicit Bias and Prejudice by João Miguel Alves Ferreira, Sergii Tukaiev

“…This review also explores the role of psychological and legal interventions aimed at minimising the impact of implicit bias and prejudice on jury decisions. …”
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Construction and validation of a presenteeism prediction model for ICU nurses in China by Jijun Wu, Yuxin Li, Yuxin Li, Xiaoli Liu, Yuting Fan, Ping Dai, Baixia Chen, Zhenfan Liu, Xian Rong, Xiaoli Zhong

“…The model can effectively identify ICU nurses with high presenteeism and provide a reference basis for developing targeted interventions to reduce presenteeism among ICU nurses.…”
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A systemic approach to accident prevention: How control factors influence accident severity and losses across industries. by Jian Liu, Zhuqing Zhang, Rui Feng

“…Accidents are often attributed to frontline operator errors, overshadowing higher-level organizational and regulatory factors. …”
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eXplainable Artificial Intelligence for Hip Fracture Recognition by Enrique Queipo-de-Llano, Marius Ciurcau, Alejandro Paz-Olalla, Belén Díaz-Agudo, Juan A. Recio-García

“…Detecting hip fractures from X-rays is a critical area where artificial intelligence can significantly reduce diagnostic errors, minimize reliance on advanced imaging techniques, and expedite the diagnostic process and subsequent surgical interventions. …”
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Negative control-calibrated difference-in-difference analyses: addressing unmeasured confounding in RWD with application to racial/ethnic differences by Dazheng Zhang, Bingyu Zhang, Huiyuan Wang, Yiwen Lu, Charles J. Wolock, Wenjie Hu, Linbo Wang, George Hripcsak, Yong Chen

“…We propose a negative control-calibrated difference-in-difference (NC-DiD) approach that uses negative control outcomes (NCOs) both before and after the intervention to detect and adjust for such confounding. …”
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Inter-player Variability Within the Same Positional Status in High-level Men's Volleyball by João Bernardo Martins, José Afonso, Ademilson Mendes, Letícia Santos, Isabel Mesquita

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Effects of aerobic training on brachial artery flow-mediated dilation in healthy adults: a meta-analysis of inter-individual response differences in randomized controlled trials by Armin H. Paravlic, Kristina Drole

“…The standard deviation of change scores in the intervention and control groups suggests that most of the variation in the observed change from pre-to-post intervention is due to other factors (e.g., measurement error, biological variability etc.) unrelated to the intervention itself. …”
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