Assessment of the attitude and fears of the physicians of Pakistan regarding artificial intelligence: a cross-sectional survey in 2024 by Abdur Rehman Khalid, Farooq Ahmad, Smak Ahmed, Muhammad Ahrar Bin Naeem, Noor ul Ain, Hassan Mehmood, Aasma Sajawal, Muhammad Umar, Aiman Atta, Hassaan Amin, Shahid Mahmood

“…Abstract Background and aim Artificial intelligence has emerged as a transformative tool in healthcare, enhancing diagnostic accuracy, advancing genetic studies, and improving personalized medicine by reducing human error. However, its integration also raises ethical concerns such as potential bias, privacy issues, and uncertainties over decision-making authority. …”
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Does a priming warm-up influence the incidence of [Formula: see text] during a ramp test and verification phase? by JianBo Qiao, Paul Rosbrook, Daniel K Sweet, Riana R Pryor, David Hostler, David Looney, J Luke Pryor

“…However, the incidence rate of [Formula: see text] during the ramp test was the same between visits (73%), and maximal oxygen uptake was not different between visits after the ramp test (normal, 4.0 ± 0.8; primed, 4.0 ± 0.7 L·min-1, p = 0.230) and verification phase (normal, 3.8 ± 0.6; primed, 3.8 ± 0.7 L·min-1, p = 0.924) using a Holm-Bonferroni correction for controlling family-wise error rate. [Formula: see text] Kinetics were not different between visits during the ramp test (normal, 10.8 ± 1.1; primed, 10.8 ± 1.2 mL·min-1·W-1, p = 0.407). …”
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Leveraging machine learning for duration of surgery prediction in knee and hip arthroplasty – a development and validation study by Benedikt Langenberger, Daniel Schrednitzki, Andreas Halder, Reinhard Busse, Christoph Pross

“…Results On test data in the multi-hospital setting, the mean absolute error (MAE) was 12.13 min (HA) / 13.61 min (KA) for XGBoost. …”
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El Objeto Extraño Retenido y su relación con Enfermería: Revisión sistemática exploratoria by María Fernanda Meza-Galindo, Eduardo Ensaldo-Carrasco, Gladis Patricia Aristizábal-Hoyos, Miguel Ángel Lezana Fernández, Fernando Meneses González

“…Se identificaron 19 tipos de factores contribuyentes asociados a fallas organizacionales (p.ej. fallas de comunicación), al conteo quirúrgico (p.ej. error en el conteo) y al paciente p.ej. índice de masa corporal). …”
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Psychometric properties of screening tools for mild cognitive impairment in older adults based on COSMIN guidelines: a systematic review by Shasha Wen, Dongmei Cheng, Nana Zhao, Xinyu Chen, Xianying Lu, Yue Li, Huanle Liu, Jing Gao, Chaoming Hou, Ran Xu

“…No data were found on cross-cultural validity/measurement invariance, measurement error, or responsiveness. The final three instruments, AV-MoCA, HKBC, and Qmci-G, received class A recommendations and were recommended for use. …”
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A Cross-sectional Study on Stature Estimation from Arm Lengths among North Indian Population using Machine Learning by Arunima Dutta, Gyamar Anya

“…The decision forest model achieved an accuracy of 0.951 and a Root Mean Square Error (RMSE) of 1.75. Conclusion: The present study suggests that stature shows strong correlations with forearm length and TAL for both sexes. …”
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Current status and influencing factors of pelvic floor muscle training adherence in rectal cancer patients with prophylactic ostomy by LIU Na, PI Hongying, GAO Na

“…The random forest algorithm identified 7 key predictors when the minimum error was achieved at a λ value of 2.293. The top 7 variables in importance ranking were PFMT self-efficacy, total knowledge-attitude-practice (KAP) score, education level, primary caregiver, tumor location, stoma reversal time, and chemoradiotherapy. …”
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The Impact of Climate Change on the Content and Spatial Distribution of the Total Dissolved Solids in Bandar-e-Gaz Coastal Aquifer by Mohammad Mehdi Ansarifar, Meysam Salarijazi, Khalil Ghorbani, Abdolreza Kaboli

“…Besides, the mean of absolute error or MAPE was used to determine the precision of the model. …”
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The Use of Melatoninergic Antidepressants for Stabilization of Remission in Depression Comorbid with Alcohol Abuse, Anxiety or Neuropsychiatric Disorders: A Systematic Review by Svetlana G. Klimanova, Dmitriy S. Radionov, Natalya I. Shova, Yuliia V. Kotsyubinskaya, Yuliia V. Yarygina, Anna A. Berezina, Nataliya A. Sivakova, Diana A. Starunskaya, Olga N. Yakunina, Aleksandra E. Andrianova, Denis V. Zakharov, Ksenia V. Rybakova, Tatiana A. Karavaeva, Anna V. Vasileva, Vladimir A. Mikhailov, Evgeny M. Krupitsky

“…The quality of the selected studies was assessed using the Cochrane Risk of Bias tool, which is used to evaluate the risk of systematic errors in clinical studies. The results were presented as a narrative synthesis and grouped by the comorbidities evaluated. …”
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Study of the Reactor Control System of MSHIM in AP1000 by Xinyu Wei, Fuyu Zhao

“…According to the mechanism analysis and simulation of power control system of MSHIM in AP1000, a modified MSHIM (Mechanical Shim) control strategy is presented, which employs the error between the reactor coolant average temperature and its reference value as the unique control signal with a P-controller added. …”
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Establishing a generalized model for accurate prediction of higher heating values of substances with large ash fractions by Peng Jiang, Lin Li, Han Lin, Tuo Ji, Liwen Mu, Yuanhui Ji, Xiaohua Lu, Jiahua Zhu

“…Furthermore, the accuracy was compared to previous literature in terms of correlation coefficient (R2), root mean square error (RMSE), and mean absolute error (MAE). Results revealed that this model provided attractive accuracy with R2 = 0.854, RMSE = 0.900, and MAE = 0.773 within a wide range of ash content from 0 to 83.32 wt%. …”
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Cycloplegia Improves the Inter-Optometrist Repeatability of Subjective Refraction by Carlos Carpena-Torres, Maria Rodríguez-Lafora, Cristina Pastrana, Ana Privado-Aroco, María Serramito, Laura Batres, Gonzalo Carracedo

“…However, the use of cycloplegia improved the inter-optometrist repeatability of M (<i>r</i> = 0.37 D) compared to the non-cycloplegic measurements (<i>r</i> = 0.62 D). Conclusions: These results suggest that accommodation in young hyperopes is likely a primary source of error that could explain the discrepancies in subjective refraction between optometrists.…”
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PROSES BERPIKIR KOMPUTASIONAL SISWA BERDASARKAN PRIOR KNOWLEDGE by Gunawan Gunawan, Joko Purwanto, Fitrianto Eko Subekti

“…Students can present problems visually, explain the flow of solution ideas used, write down the steps in detail and precisely, and check all solutions and final conclusions. Students in the low prior knowledge category need to improve at the design and algorithm stages—students' errors in interpreting the problem abstractly so that there is some misinformation. …”
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Failure mode and effects analysis applied to the administration of liquid medication by oral syringes by Eva María Guerra-Alia, Sonia Chamorro-Rubio, Eva Delgado-Silveira, Isabel Muñoz-Ojeda, Teresa Bermejo-Vicedo, Ángeles Fernández-Puentes, Marta García-Collía, Jesús María Aranaz-Andrés

“…The stages of oral administration process of liquid medication were analysed, identifying the most critical and establishing the potential modes of failure that can cause errors. The impact associated with each mode of failure was calculated using the Risk Priority Number (RPN). …”
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Criterion and Construct Validity of the Pocket-Worn RISE Device to Assess Movement Behaviour in Community-Dwelling People with Stroke by Camille F. M. Biemans, Laura van der Heiden, Cindy Veenhof, Olaf W. Verschuren, Johanna M. A. Visser-Meily, Martijn F. Pisters, Yvonne A. W. Hartman

“…The mean absolute percentage error and mean percentage error were below the predefined 20% threshold for SB and PA. …”
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Caregiver Contribution to Self-Care of Chronic Illness Inventory: Evaluation of Measurement Properties in a Middle-Income Country by Sajmira Adëraj, Alta Arapi, Rocco Mazzotta, Alessandro Stievano, Dasilva Taci, Dhurata Ivziku, Vicente Bernalte-Martí, Ercole Vellone, Gennaro Rocco, Maddalena De Maria

“…The construct’s validity was supported. The measurement error was adequate. <b>Conclusions:</b> The Albanian version of the CC to Self-Care of the Chronic Illness Inventory features sound measurement properties and is a valid and reliable instrument for assessing caregiver contribution to patient self-care behaviors in the Albanian population.…”
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Revisiting sylvian fissure dissection - A preliminary investigation into surgical process modelling for evaluating surgical proficiency by Félix Buyck, Jef Vandemeulebroucke, Ine Dirks, Jan Frederick Cornelius, Johnny Duerinck, Sebastien Froelich, Henry Schroeder, Wietse Geens, Frederick Van Gestel, Michaël Bruneau

“…Introduction: Understanding the factors that contribute to efficient surgical behaviour and the prevention of technical errors poses a significant challenge in neurosurgery. …”
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Embracing uncertainty in cerebrospinal fluid dynamics: A Bayesian approach to analysing infusion studies by Jeremi Chabros, Michal M. Placek, Ka Hing Chu, Erta Beqiri, Peter J. Hutchinson, Zofia Czosnyka, Marek Czosnyka, Alexis Joannides, Peter Smielewski

“…We evaluated the accuracy and reliability of both methods by analysing erroneous prediction rates and curve fitting errors. Results: The Bayesian method surpasses the gradient descent approach, reflected in reduced inaccurate prediction rates and an improved goodness of model fit. …”
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Performance evaluation in pediatric cardiopulmonary resuscitation after clinical simulation: A quasi-experimental study by Claudia Maria Baroni Fernandes, Eduardo Maranhão Gubert, Izabel Meister Coelho, Rafaella Fadel Friedlaender, Rosiane Guetter Mello

“…As for compression frequency, in M0 15 did not score, M1 50% errors (significant difference), and 66.7% erros in M2. …”
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Benchmark study of three statistical methods for six intact rock failure criteria constrained by different rock strength data by Peng-fei He, Xin Li, Xu-long Yao, Zhi-gang Tao, Yan-ting Du

“…Third, as the complexity of conventional test data increases or when true triaxial test data are used to estimate strength parameters for a three-dimensional failure criterion, it is essential to evaluate the outlier-proneness by analyzing the prediction error. If the kurtosis of the prediction error is less than 3, the least square method is preferred. …”
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