Cochlear and Bone Conduction Implants in Asymmetric Hearing Loss and Single-Sided Deafness: Effects on Localization, Speech in Noise, and Quality of Life by Oana Astefanei, Cristian Martu, Sebastian Cozma, Luminita Radulescu

“…Results: In adult CI users, localization error significantly decreased from 81.9° ± 15.8° to 43.7° ± 13.5° (<i>p</i> < 0.001). …”
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Strategies to foster stakeholder engagement in residency coaching: a CFIR-Informed qualitative study across diverse stakeholder groups by Marzena Sasnal, Rachel M. Jensen, Uyen T. Mai, Carl A. Gold, Aussama K. Nassar, James R. Korndorffer, Arden M. Morris, Rebecca K. Miller-Kuhlmann

“…Introduction Coaching interventions in graduate medical education have proven successful in increasing technical and communication skills, reducing errors, and improving patient care. …”
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Refining guidelines for the care of paediatric perioperative patients in a rural health care facility by Michelle Hibberson

“…As such, nonpharmacological and, if required, pharmacological interventions were employed to reduce the incidence of preoperative anxiety. …”
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Spatial heterogeneity of menstrual discriminatory practices against Nepalese women: A population-based study using the 2022 Demographic and Health Survey. by Geoffrey Barini, Sharon Amima, Damaris Mulwa, Polycarp Mogeni

“…The Poisson regression model with robust standard errors was used to assess the association between the different forms of menstrual restriction and the socio-economic, and demographic factors. …”
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Investigation of bending angle algorithm and path planning for puncture needles in transjugular intrahepatic portosystemic shunt by Qinmei Liao, Bing Li, Xihao Hu, Xiaoyun Huang, Jiacheng Guo, Yuanzhong Zhu, Wenjing He

“…Data from 32 patients who successfully underwent TIPS procedures were retrospectively collected for clinical validation and statistical analysis. Results The error between the tip position of the puncture needle catheter modeled with Bézier curves and the actual puncture needle was 0.15 cm, while the error for the arc modeling was 0.19 cm. …”
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Machine learning assisted estimation of total solids content of drilling fluids by B.T. Gunel, Y.D. Pak, A.Ö. Herekeli, S. Gül, B. Kulga, E. Artun

“…Further optimization of the random forests model resulted in a mean absolute percentage error (MAPE) of 3.9% and 9.6% and R2 of 0.99 and 0.93 for the training and testing sets, respectively. …”
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Challenges in Blood Pressure Self-Measurement by Stefan Wagner, Thomas Skjødeberg Toftegaard, Olav W. Bertelsen

“…Therefore, we suggest applying context-aware technological support tools to better detect and quantify user errors. This may allow us to develop solutions that could overcome or compensate for such errors in the future.…”
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The Use of Explainable Machine Learning for the Prediction of the Quality of Bulk-Tank Milk in Sheep and Goat Farms by Daphne T. Lianou, Yiannis Kiouvrekis, Charalambia K. Michael, Natalia G. C. Vasileiou, Ioannis Psomadakis, Antonis P. Politis, Angeliki I. Katsafadou, Eleni I. Katsarou, Maria V. Bourganou, Dimitra V. Liagka, Dimitrios C. Chatzopoulos, Nikolaos M. Solomakos, George C. Fthenakis

“…Tools found with the lowest mean absolute percentage error (MAPE) between the five tools used to test predictions for each target value were selected. …”
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Hospitalization, mortality, and health service delivery pattern among Iranian Hajj pilgrims by age, sex, and province in 2013–22 by Pirhossein Kolivand, Pirhossein Kolivand, Peyman Saberian, Jalal Arabloo, Peyman Namdar, Taher Doroudi, Taher Doroudi, Ali Marashi, Masoud Behzadifar, Fereshte Karimi, Soheila Rajaei, Behzad Raei, Seyed Jafar Ehsanzadeh, Arash Parvari, Samad Azari, Samad Azari

“…Effective strategic planning, focused interventions, and strong health surveillance systems are essential to reduce risks and build resilience for future events…”
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Wealth-related inequalities in undernutrition among under-five children in sub-Saharan Africa by Rahel Mulatie Anteneh, Natnael Moges, Asaye Alamneh Gebeyehu, Denekew Tenaw Anley, Ermias Sisay Chanie, Sintayehu Simie Tsega, Ermiyas Alemayehu, Melaku Ashagrie Belete, Natnael Kebede, Zufan Alamrie Asmare, Matyas Adugna, Zekaryas Ewnetu Gashu, Anteneh Mengist Dessie, Melkamu Aderajew Zemene

“…To effectively reduce these disparities, it is essential to implement integrated interventions during early life that address the multiple challenges faced by disadvantaged children. …”
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Landscape fragmentation reduces but shape complexity enhances soil loss: Evidence from the plain grain-producing area along the Yangtze River in China by Shunqian Gao, Wenyi Yang, Xingyu Tan, Shumi Liu, Yangbiao Li, Xingzi Yu, Zhen Wang, Zhanhang Zhou, Chen Zeng

“…Then the influencing mechanism of landscape pattern on soil loss at the sub-watershed level was revealed by ordinary least square (OLS) and spatial error model (SEM). The results showed that: (1) A decrease in total soil loss from 2005 to 2015, associated with rapid farmland decline due to intensified anthropogenic activities, followed by a sharp increase from 2015 to 2019, largely driven by extensive farmland reclamation projects. (2) Contrary to conventional understanding, patch density (PD) was found to be negatively correlated with soil loss, attributed to human interventions such as agricultural facility construction and ecological ridges that disrupt runoff pathways and increase surface roughness. …”
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Dental magnetic resonance imaging for bone loss assessment and disease activity classification in severe periodontitis by Arne Lauer, Luisa Schulte, Artid Skenderi, Nouha Tekiki, Alexander Juerchott, Meysam Sohani, Maurice Ruetters, Franz Sebastian Schwindling, Peter Rammelsberg, Mathias Nittka, Sabine Heiland, Martin Bendszus, Tim Hilgenfeld

“…Overall, T1W + C and T2W dMRI strongly correlated with CBCT (rs = 0.86 [95% CI: 0.82–0.89], p < 0.001 and rs = 0.91 [95% CI: 0.88–0.93], p < 0.001 respectively) but volume was significantly overestimated by dMRI (median percentage error of T1W + C-T2W: 19–55%). A T2W-mismatch was found in 44.1% and correlated with bleeding (85.8% vs. 70.9%, p = 0.005), giving 47.5% sensitivity and 71.2% specificity. …”
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Clinical and Developmental Outcomes After 50 Years of Newborn Bloodspot Screening for Classical Galactosaemia in the Republic of Ireland by D. Pereira, E. Loftus, C. E. Thompson, F. Boyle, J. McNulty, R. Boruah, E. Crushell, C. Howard, J. Hughes, A. A. Monavari, E. P. Treacy, A. Beegan, N. Jordan, Y. Rogers, A. Collins, J. J. Brady, M. Elsammak, P. D. Mayne, I. Knerr

“…ABSTRACT Classical Galactosaemia (CG) is an inborn error of carbohydrate metabolism. In untreated neonates, CG leads to a multi‐organ toxicity with life‐threatening symptoms. …”
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Closing the gap while standing still: clinimetric properties of a low-cost balance platform and a user-friendly app for posturography by Tom Vredeveld, John F. Stins, Annelies J. van Vliet, Vincent C.M. Tuinder, Stephan P.J. Ramaekers, Michel W. Coppieters, Annelies L. Pool-Goudzwaard

“…Power spectra analysis of both force plates revealed larger measurement error by the WBB in medio-lateral direction in tasks requiring minimal postural adjustments. …”
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Efficacy of sensorimotor training combined with core strength training for low back pain in adult idiopathic scoliosis: a study protocol for a randomized controlled trial by Tongtong Zhang, Xin Li, Xuan Zhou, Nan Chen, Qing Du, Hong Yu, Xiaoqing Zhu, Qimeng Fan, Juping Liang, Zhengquan Chen, Xiangyue Zhou

“…All groups will receive the intervention three times a week for 12 weeks. Sessions will be conducted in the hospital, and no home programme will be provided. …”
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Autoencoder-Driven Fiducial Landmark Identification in 3D Brain MRI for Neuroimaging Alignment by G. Deepali, H. Anitha, B. P. Swathi, M. V. Suhas

“…However, manual annotation of these landmarks is time-consuming, prone to human error, and further complicated by variations in MRI acquisition protocols and incomplete head coverage. …”
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AI-Driven Insect Detection, Real-Time Monitoring, and Population Forecasting in Greenhouses by Dimitrios Kapetas, Panagiotis Christakakis, Sofia Faliagka, Nikolaos Katsoulas, Eleftheria Maria Pechlivani

“…The ARIMAX model performed best with a Mean Square Error (MSE) of 75.61, corresponding to an average deviation of 8.61 insects per day between predicted and actual insect counts. …”
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Evaluation of Factors Influencing Assistant Referee Decisions in Determining "Offside" in Football by Anatoly Abdula, Stanislav Marulin

“…The human factor and referee errors are an inherent part of football. The number of mistakes can be significantly reduced, but it cannot be completely eliminated. …”
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Atropine (0.05%) for rapid progressive childhood myopia (ARM study) by Rohit Saxena, Vinay Gupta, Himani Thakur, Rebika Dhiman, Thirumurthy Velpandian, Swati Phuljhele, Namrata Sharma

“…Methods: This prospective interventional single-arm clinical trial included children aged between 6–12 years, spherical equivalent refractive (SER) error between − 2 and − 6D, and having documented myopia progression of >0.75D in the preceding year. …”
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Medication use in the neonatal intensive care unit in a tertiary hospital in China from 2020 to 2023 by Yi Wang, Linhong Song, Yanhua Wang, Jun Li, Yuanyuan Xie, Lei Yan, Huixia Zhou, Siqi Hu

“…Conclusions Our retrospective study will not only help identify and evaluate interventions to reduce medication errors but also aid healthcare systems and providers in understanding, implementing, and enhancing these interventions to improve the safety and quality of care for newborns. …”
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