The impostor phenomenon among surgeons and surgeons in training: a scoping review by Chunlan Jin, Jian Ling, Zuhuan Xu, Tao Lin, Weiqin Chen

“…Future directions may focus on early interventions aimed at identifying and managing IP.…”
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Extraction Method of Coronary Artery Blood Vessel Centerline in CT Coronary Angiography by Xiaodong Sheng, Tao Fan, Xiaoqi Jin, Jing Jin, Zhixian Chen, Guanqun Zheng, Min Lu, Zongcheng Zhu

“…Aiming at the problem that the traditional coronary artery centerline extraction method is computationally intensive and requires a large number of manual interventions, a fully automatic coronary artery centerline tracking extraction method is proposed. …”
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Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy by Mahadee Al Mobin

“…Comparative analysis reveals that downscaling provided a $$28.5\%$$ 28.5 % improvement in accuracy and an $$89.3\%$$ 89.3 % reduction in mean absolute percentage error (MAPE) over non-downscaled data which has been proven to be statistically significant using the Wilcoxon signed rank test, illustrating the substantial advantages of employing downscaling for effective DENV forecasting. …”
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Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

“…Extensive Monte Carlo simulations demonstrate that our approach outperforms conventional estimation methods in terms of bias and mean squared error as well as in estimating the incubation period. …”
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Crop Yield Prediction: Data Structure and Ai-Powered Methods by V. K. Kalichkin, K. Yu. Maksimovich, O. A. Aleshchenko, V. V. Aleshchenko

“…Comparative analysis demonstrates that deep learning and hybrid approaches outperform traditional machine learning methods in terms of prediction accuracy, as measured by standard error metrics. (Conclusions) The findings confirm the advantages of deep learning methods (mean R² = 0.85) and hybrid approaches (mean R² = 0.87) in crop yield prediction under varying conditions and management interventions. …”
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A latent Markov modelling approach to the evaluation of circulating cathodic antigen strips for schistosomiasis diagnosis pre- and post-praziquantel treatment in Uganda. by Artemis Koukounari, Christl A Donnelly, Irini Moustaki, Edridah M Tukahebwa, Narcis B Kabatereine, Shona Wilson, Joanne P Webster, André M Deelder, Birgitte J Vennervald, Govert J van Dam

“…With the recent resolution on schistosomiasis elimination by the 65th World Health Assembly, appropriate diagnostic tools to inform interventions are keys to their success. We present a discrete Markov chains modelling framework that deals with the longitudinal study design and the measurement error in the diagnostic methods under study. …”
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An Advanced Generative AI-Based Anomaly Detection in IEC61850-Based Communication Messages in Smart Grids by Aydin Zaboli, Yong-Hwa Kim, Junho Hong

“…The proposed ToD model demonstrates significant advantages over the human-in-the-loop (HITL) approach, particularly in error rate, adaptability, and scalability. Specifically, compared to HITL, the ToD model achieves a reduction in false positives (FPs) of up to 20% and enhances the accuracy of AD by up to 17.5%, resulting in a general accuracy of 97.5%. …”
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Comparison of visual functions among early and late onset myopia by Salai Dhavamathi Janarthanan, Shonraj Ballae Ganeshrao, Kathleen Watt, Manali Hazarika, Ramesh S. Ve, Vijaya Pai H, Aiswaryah Radhakrishnan

“…Abstract Early-onset myopia (EOM) progresses more rapidly and sets a higher risk of developing high myopia, whereas late-onset myopia (LOM) is typically associated with lower refractive error. However, differences in visual function between these groups remain underexplored. …”
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Physiological stress differentially impacts cognitive performance during—and memory following—simulated police encounters with persons experiencing a mental health crisis by Hannah Marlatte, Hannah Marlatte, Paula M. Di Nota, Judith P. Andersen

“…These results have practical implications in operational, training, evaluation, and testimonial police contexts and can inform future interventions aimed to improve outcomes when navigating stressful encounters, including crisis intervention.…”
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Volume and Structure of the Population’s Need for High-Tech Ophthalmological Care in Azerbaijan by B. Kh. Gadzhieva

“…The volume of demand of the population of Azerbaijan for GPs by type of indications and interventions was established per 100 thousand population with the determination of the average error of the indicator.Results. 14.5 ± 0.3 % of ophthalmological patients received high­tech ophthalmological care. …”
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Correlates of light and moderate-to-vigorous objectively measured physical activity in four-year-old children. by Esther M F van Sluijs, Alison M McMinn, Hazel M Inskip, Ulf Ekelund, Keith M Godfrey, Nicholas C Harvey, Simon J Griffin

“…<h4>Results</h4>LPA minutes were greater in children whose mothers reported more PA (vs. inactive: regression coefficient±standard error: 6.70±2.94 minutes), and without other children in the neighbourhood to play with (-6.33±2.44). …”
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A robot process automation based mobile application for early prediction of chronic kidney disease using machine learning by Md. Hasan Imam Bijoy, Md. Jueal Mia, Md. Mahbubur Rahman, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

“…Such integration has the potential to transform CKD management, facilitating early interventions and personalized treatment plans through advanced machine-learning applications.…”
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Exploring the factors that promote or diminish a psychologically safe environment: a qualitative interview study with critical care staff by Stephen Brett, Eleanor Murray, Clare Leon-Villapalos, Kate Grailey

“…Team leaders can use these data to help foster a culture of openness, innovation and error prevention while minimising the risk of negative implications…”
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Predicting Adjustment of students based on School Culture: the mediating role of Quality of life at School by Seyed Alireza Ghasemi, Hossein Khosravi, Minoo Miri, Hadi Pourshafei, Faezeh Khosravi

“…The goodness-of-fit index of the root of the approximation error is equal to0.076 and the standard root of the residual variance is equal to0.054, which indicates the good fit of the model. …”
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Anxiety among pregnant women in Addis Ababa, Ethiopia. by Hanna Melesse, Tigest Shifraw, Yemane Berhane

“…Poisson regression with a robust error variance estimate was used to calculate the prevalence ratio to identify the associated factors; the results were presented with an adjusted prevalence ratio (APR) and a 95% CI.…”
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Effect of Board Accountability on Financial Performance of Selected SACCOs in Kiruhura District, Uganda. by Kyabarongo, Benon, Agaba, Moses, Byamukama, Eliab Mpora, Sunday, Arthur, Sekiwu, Denis

“…In spite of the several interventions by Bank Uganda, a number of banks and other financial institutions have failed to operate forcing the regulators to intervene to ensure sanity in the financial system. …”
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Effect of Board Accountability on Financial Performance of Selected SACCOs in Kiruhura District, Uganda. by Kyabarongo, Benon, Agaba, Moses, Byamukama, Eliab Mpora, Sunday, Arthur, Sekiwu, Denis

“…In spite of the several interventions by Bank Uganda, a number of banks and other financial institutions have failed to operate forcing the regulators to intervene to ensure sanity in the financial system. …”
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Impact of medical school on quality of life and mental health in Brazil: a cross-sectional comparative study by Marina Silveira de Resende, Isabelle Martins Santos, Eduardo Cardoso de Moura, Renata de Almeida Pedro, Marcelo Gobbo

“…Longitudinal research is necessary to assess the long-term impact of these interventions and to further explore systemic inequalities affecting student well-being.…”
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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

“…We also checked the performance of these models by three parameters Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE) and noticed the better performance of RFR model. …”
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Postoperative human motion evaluation in orthopedics based on kinematic constraints and improved IMU-generated data processing algorithm. by Linzhi Xie, Zhengnan Li

“…The method has high accuracy and applicability, which can effectively improve the monitoring efficiency of postoperative human motion assessment in orthopedics, reduce the error of postoperative human motion assessment in orthopedics, and effectively support personalized management and intervention, further providing reference for the optimization of postoperative human motion assessment in orthopedics.…”
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