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

“…Abstract Background The impostor phenomenon (IP), is a condition in which people think they are incapable of success and tend to attribute their success to external causes such as luck, error, or knowing the appropriate individuals. It has been confirmed as a contributor to burnout for practicing physicians, residents, and medical students. …”
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Validation of the Nepalese Version of the Quality of Recovery-15 (QoR-N) Questionnaire in Patients Undergoing Elective Surgery by Chitra Thapa, Sabin Gauchan, Sulav Acharya, Mohan Raj Sharma

“…The recruitment rate was 100%, and completion rate was 94.33%. Conclusions: The Quality of Recovery scale-N demonstrated acceptable validity, reliability, responsiveness, and clinical feasibility, and is suitable for use in Nepalese patients undergoing elective surgery. …”
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The cultural validation of two scales to assess social stigma in leprosy. by Ruth M H Peters, Dadun, Wim H Van Brakel, Marjolein B M Zweekhorst, Rita Damayanti, Joske F G Bunders, Irwanto

“…The exploratory factor analysis indicated for both scales an adequate fit as unidimensional scale. A standard error of measurement of 2.38 was found in the EMIC-CSS and of 1.78 in the SDS. …”
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The Reliability and Validity of a Novel Clinical Test for Assessing Shoulder Rotation ROM in Collegiate Baseball Players: Functional Assessment of System Tension of the Shoulder (F... by Steven Dischiavi, Jesse Perry, Connor Burk, Jeremy Chiang, Chris Bleakley

“…Intra-class correlation coefficient (ICC), standard error of measurement (SEM) and minimum detectable change (MDC) were calculated. …”
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Age estimation from morphometric features of maxillary central incisors using CBCT images by Sara Hilmi Kazzaz, Tavga Mustafa Faris, Miwan Salahalddin Abdulrahman, Mohammed Taha Ahmed Baban, Ranjdar Mahmood Talabani, Kazhan Omer Abdalrahman

“…In males, the equation derived from multiplanar linear measurements demonstrated a standard error of estimate (SEE) of ± 10.84 years, with a coefficient of determination (R²) of 0.49. …”
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An ensemble prediction approach to weekly Dengue cases forecasting based on climatic and terrain conditions by Sougata Deb, Cleta Milagros Libre Acebedo, Gomathypriya Dhanapal, Chua Matthew Chin Heng

“…Results: The proposed ensemble prediction achieved a mean absolute error of 21.55, 4.26 points lower than the 25.81 obtained by a standard negative binomial model. …”
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Specificity Analysis of Genome Based on Statistically Identical K-Words With Same Base Combination by Hyein Seo, Yong-Joon Song, Kiho Cho, Dong-Ho Cho

“…In order to find important ratios representing genomic characteristics, a reference value is calculated that results in a minimum error when classifying data by ratio alone. Finally, we propose a genetic algorithm-based search algorithm to select a minimum set of ratios useful for classification. …”
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Enhanced Electroacoustic Tomography with Supervised Learning for Real‐time Electroporation Monitoring by Zhuoran Jiang, Yifei Xu, Leshan Sun, Shreyas Srinivasan, Q. Jackie Wu, Liangzhong Xiang, Lei Ren

“…Quantitatively, the enhanced single‐view images achieved a low‐intensity error (RMSE: 0.018), high signal‐to‐noise ratio (PSNR: 35.15), and high structural similarity (SSIM: 0.942) compared to the reference full‐view images. …”
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Determination of the dynamic characteristics of a gear pump by the load variation method using special bench systems by V. I. Sanchugov, P. D. Rekadze

“…The bench systems yielding the calculation of the dynamic characteristics of the pump with a minimum error based on the condition of matching the dynamic load and the source of vibrations were analyzed. …”
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Allocating the Sample Size in Phase II and III Trials to Optimize Success Probability by Daniele De Martini

“…</p><p>{\bf Results} For example, when 5 doses are evaluated in phase II and 2 parallel phase III confirmatory trials (one-tail type I error $=2.5\%$, power $=90\%$) are considered with 2 groups each, $k=24$ is needed to obtain $OSP\simeq 75\%$, with $r_{opt}\simeq 50\%$. …”
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Investigation of Antibody Pharmacokinetics in Male Reproductive System and Its Characterization Using a Translational PBPK Model by Sree Ojili, Dhaval K. Shah

“…<b>Conclusions</b>: The combination of the experimental data and novel PBPK model presented here provides unprecedented insights into the antibody distributions in different male reproductive tissues. …”
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Performance of the Direct Sequence Spread Spectrum Underwater Acoustic Communication System with Differential Detection in Strong Multipath Propagation Conditions by Jan H. SCHMIDT, Iwona KOCHAŃSKA, Aleksander M. SCHMIDT

“…The performed experiments allowed to draw important conclusions for the designing of a physical layer of the shallow-water UAC system. …”
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Measurement of level of PTSD with the International Trauma Questionnaire (ITQ): bias and precision when using full ordinal or dichotomized items by Tine Nielsen, Ask Elklit, Sabrina Brødsgaard Nielsen, Mikkel Auning-Hansen, Svend Kreiner, Maria Louison Vang

“…Measurement by scores over dichotomized items increased the standard error of measurement and reduced the reliability to a level, where psychometric theory would conclude that the measure of PTSD was inapplicable. …”
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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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Specialized Medical Weight Management Intervention for High-Risk Obesity by Gitanjali Srivastava, Chelsea Paris, Jessica Johnson, Emma Barnes, Brittany L. Cunningham, C. J. Stimson, Kevin D. Niswender, Sabrina J. Poon

“…Mean weight loss from the initial program start date was 6.28% (+/-0.48% standard error of mean [SEM]; 95% confidence interval [CI] 5.34-7.23%). …”
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A Social Media Study of Portrayals of Bipolar Disorders on YouTube: Content and Thematic Analyses by Eric Mayor, Lucas M Bietti

“…ConclusionsOverall, our results underline the complexity and richness of the depiction of the diagnosis of BD and its narrative context, and highlight the importance of the moment of the diagnosis, medication, and psychotherapy. …”
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An approach to measuring language-specific brain function in developmental language disorder by Caroline Larson, Jason C. Crutcher, Hannah R. Thomas, Michael C. Stevens

“…Purpose: Evidence characterizing brain function in developmental language disorder (DLD) is limited because measured brain function may reflect individual variability in task performance and error processing. This methodological study began characterizing language-specific brain function by administering the adaptive semantic matching paradigm during functional magnetic resonance imaging (fMRI) to individuals with DLD and by using a Bayesian analytical approach appropriate for small clinical samples. …”
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Assessing the accuracy of adherence and sexual behaviour data in the MDP301 vaginal microbicides trial using a mixed methods and triangulation model. by Robert Pool, Catherine M Montgomery, Neetha S Morar, Oliver Mweemba, Agnes Ssali, Mitzy Gafos, Shelley Lees, Jonathan Stadler, Andrew Nunn, Angela Crook, Richard Hayes, Sheena McCormack

“…The main reasons for inaccuracies are participants forgetting, interviewer error, desirability bias, problems with the definition and delineation of key concepts (e.g. …”
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Drug exposure in register-based research-An expert-opinion based evaluation of methods. by Antti Tanskanen, Heidi Taipale, Marjaana Koponen, Anna-Maija Tolppanen, Sirpa Hartikainen, Riitta Ahonen, Jari Tiihonen

“…In the expert-opinion based evaluation, the lowest error rates were observed with data-driven method PRE2DUP.…”
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Application of the generalized point source method for solving boundary value problems of mathematical physics by Sergey Yu. Knyazev, Elena E. Shcherbakova

“…The dependences of the numerical solution error on the number of linear equations in the resulting system are obtained. …”
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