Visual function deficits in dyslexic children: a case-control study by Azam Darvishi, Negar Sangsefidi, Javad Heravian Shandiz, Davood Sobhani Rad, Foroozan Narooie-Noori, Masoud Khorrami-Nejad

“…Both groups underwent complete ophthalmic examinations to measure corrected distance visual acuity, refractive errors, latent and manifest deviations, stereoacuity, near point of accommodation (NPA), and contrast sensitivity (CS). …”
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Evaluation of prescribing patterns of sodium valproate in neurological disease patients: a quasi-experimental pretest–posttest design study by Rehab H. Werida, Salima El-Sherif, Rania Shoshan, Naglaa F. Khedr

“…Medical history, drug-drug interactions, antipsychotic combinations, medication errors, and dosages were among the information gathered. …”
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Relationship between go/no-go task, physical activity, and physical fitness in preschool children by Noriaki Watanabe, Masayoshi Kamijo, Kazuki Ashida, Fumihito Sasamori, Masao Okuhara, Koji Terasawa

“…Conclusion A significant correlation was found between physical attributes (step counts, exercise step counts of 4 METs or more, muscle strength, balance function, walking ability, and endurance) of 3 to 5-year-old children and the number of errors made in the go/no go task. …”
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Effect of a closed-loop medication order executive system on safe medication administration at a tertiary hospital: a quasi-experimental study by Xuwen Yin, Haiyan Song, Jieyu Lu, Jing Yang, Rong Wang, Zheng Lin, Shudi Jiang, Hui Yuan, Xumei Wang, Dongmei Xu, Chunhong Gao, Yuan Zhou, Jiayi Xu, Chen Chen, Chenyu Gu, Qingqing Diao, Fang Li, Zejuan Gu

“…Background: Closed-loop electronic medication management systems are effective measures for preventing medication errors (MEs). However, there is limited evidence supporting this, and few studies have evaluated the long-term effects of these systems on safe medication. …”
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An Evaluation of the Effects of Human Factors and Ergonomics on Health Care and Patient Safety Practices: A Systematic Review. by Xuanyue Mao, Pengli Jia, Longhao Zhang, Pujing Zhao, Ying Chen, Mingming Zhang

“…<h4>Background</h4>From the viewpoint of human factors and ergonomics (HFE), errors often occur because of the mismatch between the system, technique and characteristics of the human body. …”
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Demographic and Clinical Profile of Patients who Underwent Refractive Surgery Screening by Robert Edward T. Ang, MD, Erwin E. Camus, MD, Mark Christian R. Rivera, MD, Dennis C. Vizconde, MD, Lilette Marie B. Canilao, MD, Niccolo Zandro R. Valencia, MD

“…Conclusion: Patients who underwent screening for refractive surgery were young, mostly female, with myopic refractive errors. …”
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USER ACCEPTANCE OF MOBILE-JKN: INSIGHTS FROM THE TECHNOLOGY ACCEPTANCE MODEL by Ferina Septiani Damanik, Anna Wahyuni Widayanti, Chairun Wiedyaningsih

“…Most users accessed the app through self-access (48%), frequently used features were membership information (28%), and encountered issues such as application errors (25%). Conclusion: The app was deemed relevant, accurate, easy to use, and beneficial. …”
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Effect of magnesium added to local anesthetics for caudal anesthesia on postoperative pain in pediatric surgical patients: A systematic review and meta-analysis with Trial Sequenti... by Hiromasa Kawakami, Takahiro Mihara, Nobuhito Nakamura, Koui Ka, Takahisa Goto

“…The rate of adverse events was comparable between treatment groups.<h4>Conclusion</h4>Caudal magnesium may reduce the need for rescue analgesia after surgery, but further randomized clinical trials with a low risk of bias and a low risk of random errors are necessary to assess the effect of caudal magnesium on postoperative pain and adverse events.…”
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Peer review for handoff education in a transition to residency course: A prospective cohort study by Rajiv Trehan, Catherine Chen, Raman Bhalla

“…Abstract Background and Aims Association of American Medical Colleges (AAMC) and Accreditation Council for Graduate Medical Education (ACGME) mandate training in handoff delivery for students and residents. Communication errors, including errors during handoffs of patient care, account for over 2/3 of sentinel events. …”
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Natural Language Processing for Enhanced Clinical Decision Support in Allergy Verification for Medication Prescriptions by Juan Pablo Botero-Aguirre, MS, Michael Andrés García-Rivera, MS

“…The model detected prescription errors in 0.96% of cases, with a sensitivity of 75.73% and specificity of 99.98%. …”
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Development and performance testing of a positioning system for tank floor in-service inspection robots by Yewei KANG, Changfang WU, Zhenghong GUO

“…ResultsThe results of verification through physical experiments and numerical simulations demonstrated that by utilizing a multiple-measure compensation mechanism, the developed positioning system achieved positional errors of no more than 10 cm and directional angle errors of less than 5° , thus meeting the requirements for precise robot positioning in tank environments. …”
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Exploring Usability of a Clinical Decision Support System for Cancer Care: A User‐Centered Study by Darya Chyzhyk, Maddi Arregi, Maria Errazquin, Ainhoa Ariceta, Macarena Sevilla, Roberto Álvarez, Maider Alberich Inchausti

“…Only two out of six patients encountered errors during the login activities, but these errors were unrelated to product safety. …”
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Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting by Zhihong Lv, Rui Sun, Xin Liu, Shuo Wang, Xiaowei Guo, Yuan Lv, Min Yao, Junhua Zhou

“…The performance of these models was evaluated using three metrics: root mean square error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE). …”
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Demographic characteristics and ocular needs of children attending child eye clinics in Cross River State, Nigeria: a retrospective analysis of clinical records by Nathan Congdon, Ciaran O'Neill, Lynne Lohfeld, Ving Fai Chan, Diarmuid O’Donovan, Ai Chee Yong, Christine Graham, Anne Effiom Ebri, Sara E O’Connor

“…Of those children, 71.2% (n=827) were diagnosed with refractive error. For management, 48.6% (n=1833) were prescribed spectacles and 40.5% (n=1527) were prescribed ocular medications. …”
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Human Factors Studies to Assess the Usability of the Faricimab Prefilled Syringe by Barakat MR, Kwong Jr HM, Marcon G, O'Leary OE, Paris LP, Schneider P, Tang Y, Graff JM

“…No use errors were observed during the actual-use study. …”
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Enhancing intraoral radiographic technique: introducing “Nallan's Lines” by Nallan CSK Chaitanya, Vivek Padmanabhan, Md Sofiqul Islam, Nada Tawfig Hashim, Riham Mohammed, Neeharika Satyajyothi Allam, Jouma Jalal Omar, Ahmed Zakaria, Shaga Pranathi, Mamindla Apoorva

“…To determine if radiographic training affected the performance of volunteers and specialists, a Chi-Square Test was conducted to compare error rates. No statistically significant differences were observed between the two groups, both before and after training.ConclusionThe adoption of Nallan's lines may enhance the accuracy and quality of intraoral radiographic images. …”
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A New Immersion and Invariance Control and Stable Deep Learning Fuzzy Approach for Power/Voltage Control Problem by Mohammad Hosein Sabzalian, Khalid A. Alattas, Mauricio Aredes, Abdullah K. Alanazi, Hala M. Abo-Dief, Ardashir Mohammadzadeh, Saleh Mobayen, Bruno Wanderley Franca, Afef Fekih

“…The objective function of T2FLC is to minimize the tracking error in presence of perturbations. The adaptation rules are derived such that the I&#x0026;I stabilization criterions are satisfied. …”
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Mine microseismic signal denoising method and application based on Adaboost_LSTM prediction by Xueyi SHANG, Yong CHEN, Jie CHEN, Linlin CHEN, Yuanyuan PU

“…Overall, the P-wave arrival picking error of the denoised signals using the S/L-AIC method remains generally within 10 ms. …”
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Improving prediction accuracy of hospital arrival vital signs using a multi-output machine learning model: a retrospective study of JSAS-registry data by Yasuyuki Kawai, Koji Yamamoto, Keisuke Tsuruta, Keita Miyazaki, Hideki Asai, Hidetada Fukushima

“…Model performance was assessed by comparing the predicted values with the actual hospital arrival measurements using mean absolute error, R² score, residual standard deviation, and Spearman’s correlation coefficient. …”
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Impact of reference EOP time series on EOP prediction evaluation by Aleksander Partyka, Justyna Śliwińska-Bronowicz, Henryk Dobslaw, Jolanta Nastula, Małgorzata Wińska

“…We also carried out a mean absolute error (MAE) analysis. VLBI-based series from International VLBI Service for Geodesy and Astrometry (IVS) and U.S. …”
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