Cost-effectiveness of financial incentives to improve glycemic control in adults with diabetes: A pilot randomized controlled trial. by Leonard E Egede, Rebekah J Walker, Clara E Dismuke-Greer, Sarah Pyzyk, Aprill Z Dawson, Joni S Williams, Jennifer A Campbell

“…<h4>Results</h4>The ICER to decrease HbA1c by 1% was $1,100 for all three arms, however, bootstrapped standard errors differed with Group 1 having twice the variation around the ICER coefficient as Groups 2 and 3. …”
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“It's the patient that suffers from poor communication”: Analyzing communication gaps and associated consequences in handover events from nurses’ experiences by Roger A. Atinga, Mtebi Nkrabia Gmaligan, Alice Ayawine, John K. Yambah

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Preferences for written corrective feedback among field-dependent and field-independent EFL Learners: A mixed-methods investigation by Mohamad Reza Farangi, Naser Rashidi, Mohamad Jokar

“…Both FI and FD learners preferred their errors to be corrected. FI learners favored indirect feedback promoting autonomy, while FD learners preferred explicit corrections emphasizing teacher responsibility. …”
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The impact of workplace relationships on nurse-reported quality of care and patient safety in the North West Province. by Naledi Tlhako, Siedine Knobloch Coetzee, Olateju Jumoke Ajanaku, Erika Fourie

“…Collegial nurse-physician relationships were experienced as contributing positively to the practice environment, and had the most impact on adverse events, namely medication errors, patient falls after admission and healthcare-associated infections. …”
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Optical detection of single and multiple seeding using an innovative shape-recognition algorithm by Ali Ghaffarnezhad, Hossein Navid, Hadi Karimi

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Email invitations to publish: Academically sound (such as SAFP) versus potentially predatory journals by Gina Joubert, Omololu Aluko

“…Emails from non-accredited journals were significantly (p  0.01) more likely to contain grammatical errors (63% vs. 0%) and flattering remarks regarding the recipient or his or her research work (49% vs. 0%), and to indicate the journal’s International Standard Serial Number (ISSN) (67% vs. 13%). …”
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Influence of Preclinical Training on Root Canal Treatment Technical Quality and Confidence Level of Undergraduate Dental Students by Reem M. Barakat, Manal Matoug-Elwerfelli, Rahaf A. Almohareb, Hanan A. Balto

“…However, more teeth treated by attendees were of adequate obturation length (p=0.015) and lacked procedural errors (p=0.004). Significantly more elective course attendees rated their undergraduate endodontic training as adequate (p=0.002), but there was no significant difference in the level of confidence between the attendees and the non-attendees. …”
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Mathematics Anxiety and Undergraduate Nursing Students: A Mixed Methods Study by Jen Austerberry, Thomas Mathew, Jacqueline Johnston, Maria Murphy, Kolsoom Safari, Christine Murray, Lisa McKenna

“…Around three‐quarters reported some level of fear of mathematics, while many lacked confidence, fear of making errors and/or harming patients and negative childhood experiences of mathematics. …”
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Students Narratives of Ethical Dilemmas and Professionalism Issues During a Rotation in Surgery by Gilles Beauchamp, Ramses Wassef, Bryn Williams-Jones

“… Background: The education of medical students necessitates teaching not only the science of medicine but also the skills needed for ethical reflection and moral reasoning as well as professionalism. …”
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Study on the evolution patterns and predictive modeling of ambient air quality in oasis cities of arid regions: a case study of Urumqi by Bian Jing, Ren Xiaofeng

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Knee Osteoarthritis Detection and Classification Using Autoencoders and Extreme Learning Machines by Jarrar Amjad, Muhammad Zaheer Sajid, Ammar Amjad, Muhammad Fareed Hamid, Ayman Youssef, Muhammad Irfan Sharif

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Attitudes and Familiarity of Hospital Administrative and Medical Staff Towards Artificial Intelligence: A cross-sectional study in Turkey by Beyza Büyükkaya, Selma Altındiş, Gazi Ünlü

“…In contrast, attitudes were divided regarding AI’s ability to reduce healthcare costs, minimize errors, offer a competitive advantage, assist in decision-making, and optimize healthcare resources. …”
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‘I can’t understand why others don’t screen more’: a qualitative study exploring why Australian general practitioners screen for primary aldosteronism by Sanne Peters, Jun Yang, Grant Russell, Abhir Krishan Nainani

“…Knowledge of the screening process, cost and convenience of performing the aldosterone–renin ratio, conceptualisation of risk related to PA, and a desire to improve clinical care were influencing factors that modified the GPs’ screening experience.Conclusion Our findings suggest that knowledge gaps, practical limitations of the aldosterone–renin ratio, and errors in diagnostic reasoning were challenges of routine PA screening. …”
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Diving into discomfort: orofacial pain dynamic—A systematic review by Lubna A. Alolaiwi, Fawziah A. Alzahrani, Sulaiman A. AlShammari

“…These strategies should focus on dental care, ergonomic interventions, oral hygiene education, equipment fitting, and clenching management.…”
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The state and dynamics of the wavefront of the eye in children with different refractions engaged in regular sport activities (badminton) by E. P. Tarutta, N. A. Tarasova, G. A. Markossian, N. V. Khodzhabekyan, S. G. Harutyunyan, S. Georgiev

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A preference analysis and justification of Arabic written corrective feedback among instructors and undergraduates by Mohd Azrul Azlen Abd Hamid, Muhammad Sabri Sahrir, Khairil Azwar Razali

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Synthesis of the Kallman's filter of the second order at observation of radial range and speed by S. A. Gorshkov, V. N. Zavizhenets

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THEORY OF NORMAL syndrome and PLUS-decoding by V. A. Lipnitski, A. O. Aliaksiuk

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Drug-Resistant Tuberculosis Hotspots in Oliver Reginald Tambo District Municipality, Eastern Cape, South Africa by Lindiwe Modest Faye, Mojisola Clara Hosu, Teke Apalata

“…The Linear Regression model predicts a continued decline to zero cases by 2026, with an R² = 0.865, a mean squared error (MSE) of 507.175, and a mean absolute error (MAE) of 18.65. …”
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Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for Staphylococcus aureus via metagenomic sequencing by Xuefeng Jia, Yongfen Xiong, Yanping Xu, Fangyuan Chen, Peng Han, Jieming Qu, Quanli He, Guanhua Rao

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