PARAFFIN: A software tool for Pathology Report Automated Feedback for Improved Education of anatomic pathology trainees by Clarissa E. Jordan, Justin E. Juskewitch, Andrew P. Norgan

“…Many trainees attempt to keep track of their cases and later look up final pathology reports in the laboratory information system (LIS); however, this manual and time-consuming process is prone to error and may prevent them from spending time reviewing and learning from these reports. …”
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Implementation of an information system for tuberculosis in healthcare facilities in Indonesia: evaluation of its effectiveness and challenges by Rita Dian Pratiwi, Bachti Alisjahbana, Yanri Wijayanti Subronto, Sigit Priyanta, Suharna Suharna

“…Results The evaluation indicated that user convenience and timeliness require improvement, as well as the match between the system and the real world and error prevention, as shown in the heuristic evaluation of the SITB user interface. …”
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Ultrasound differential diagnosis of different forms of stomatogenic maxillary sinusitis by S. D. Varzhapetyan

“….), as fractions (percent) and the error of share. Statistical analysis of the absolute values has been determined by Student's method, comparison of share - by xi-square method. …”
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Death recollection moderates stress-influenced depression in Thai boarding school students by Justin DeMaranville, Tinakon Wongpakaran, Nahathai Wongpakaran, Danny Wedding

“…The moderation effect was significant: B = 0.133, standard error = 0.061, 95% CI = .253 to .013 after controlling for the meditation frequency of the population. …”
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Pharmacokinetic study of voriconazole administered orally at 50 mg/kg in nursehound sharks (Scyliorhinus stellaris) and udulate skates (Raja undulata) by Daniela Cañizares-Cooz, Daniel García-Párraga, Teresa Álvaro-Álvarez, Sonia Rubio-Langre, Teresa Encinas, Pablo Morón-Elorza

“…Results The mean peak plasma concentration (Cmax) ± standard error of the mean (SEM) after oral administration of 50 mg/kg of voriconazole was 3.32 ± 0.92 µg/ml in nursehound sharks and 10.53 ± 0.91 µg/ml in undulate skates. …”
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Comparative Evaluation of Decision Tree (M5) and Least Square Support Vector Machine (LS-SVM) Models for Groundwater Level Prediction in the Mashhad Plain by Vajihe Ramezani saani, Mahdi Zarei, Seyed Morteza Seyedian

“…A comparison of the results of the models indicated that the LS-SVM model is more sensitive to changes in input parameters than the M5 model, such that the decision tree model, unlike the least squares support vector machine model, provided acceptable results in all scenarios.Conclusions: In summary, the comparison of the models used suggests that the appropriate selection of climatic parameters and the examination and analysis of data have a significant impact on the accuracy of predictions.…”
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A prospective association between dietary mushroom intake and the risk of type 2 diabetes: the Korean Genome and Epidemiology Study–Cardiovascular Disease Association Study by Yu-Mi Kim, Hye Won Woo, Min-Ho Shin, Sang Baek Koh, Hyeon Chang Kim, Mi Kyung Kim

“…Additionally, no significant interaction was found regarding the risk of type 2 diabetes between dietary mushroom consumption and participants’ gender or other factors. CONCLUSIONS Dietary mushroom consumption was inversely linked with the risk of type 2 diabetes incidence in both genders, indicating the beneficial role of mushrooms in preventing the disease.…”
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Research on Change Point Detection during Periods of Sharp Fluctuations in Stock Prices–Based on Bayes Method <i>β</i>-ARCH Models by Fenglin Tian, Yong Wang, Qi Qin, Boping Tian

“…As their residuals follow a generalized error distribution, the problem of estimating the change point parameters of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>β</mi></semantics></math></inline-formula>-ARCH model is solved by combining the Kalman filtering method and the Bayes method innovatively, and we give a method for parameter estimation of the Bayes factors for the occurrences of change points, the expected values of the change point positions, and the variance of the change points. …”
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Evaluating a Customized Version of ChatGPT for Systematic Review Data Extraction in Health Research: Development and Usability Study by Jayden Sercombe, Zachary Bryant, Jack Wilson

“… Abstract BackgroundSystematic reviews are essential for synthesizing research in health sciences; however, they are resource-intensive and prone to human error. The data extraction phase, in which key details of studies are identified and recorded in a systematic manner, may benefit from the application of automation processes. …”
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Prediction and Stage Classification of Pressure Ulcers in Intensive Care Patients by Machine Learning by Mürsel Kahveci, Levent Uğur

“…Stage IV: 142 mg/L; <i>p</i> < 0.001). <b>Conclusions:</b> This study shows that machine learning algorithms offer high accuracy and generalization potential in pressure ulcer classification. …”
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Fast Hadamard-Encoded 7T Spectroscopic Imaging of Human Brain by Chan Hong Moon, Frank S. Lieberman, Hoby P. Hetherington, Jullie W. Pan

“…., N-acetyl aspartate, creatine, and choline), uses cascaded multi-slice RF excitation pulses to minimize the chemical shift dispersion error. The J-refocused sequence targets coupled spin systems (i.e., glutamate and myo-inositol) using simultaneous multi-slice excitation to maintain the same TE across all slices. …”
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Riboflavin Transporter Deficiency Type 2: Expanding the Phenotype of the Lebanese Founder Mutation p.Gly306Arg in the <i>SLC52A2</i> Gene by Jean-Marc T. Jreissati, Leonard Lawandos, Julien T. Jreissati, Pascale E. Karam

“…<b>Background</b>: Riboflavin transporter deficiency type 2 is an ultra-rare, yet treatable, inborn error of metabolism. This autosomal recessive disorder is caused by pathogenic mutations in the <i>SLC52A2</i> gene leading to progressive ataxia, polyneuropathy, and hearing and visual impairment. …”
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Construction of mathematical models to predict M25 and M10 coke quality indices by E. N. Stepanov, A. N. Smirnov, D. I. Alekseev

“…In addition, the minimization of the predictive error on a new sample was taken into account which was not used in training and testing.Research Results. …”
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RESEARCH INTO SPEECH-TO-TEXT TRANFROMATION MODULE IN THE PROPOSED MODEL OF A SPEAKER’S AUTOMATIC SPEECH ANNOTATION by Olesia Barkovska

“…The following results were obtained: demonstrates the reduction of the word error level descriptor by almost 1.5 times, which influences the quality of word recognition from the audio and may potentially lead to obtaining higher-quality output text data. …”
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Measurement properties of sexual function assessment questionnaires in women with endometriosis: A systematic review following COSMIN guidelines by Anne Oppenheimer, Florence Boitrelle, Alba Nicolas‐Boluda, Arnaud Fauconnier

“…Properties evaluated were: structural validity, internal consistency, cross‐cultural validity, reliability, measurement error, criterion validity, construct validity, and responsiveness. …”
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Investigation of the influencing factors on subjective evaluation in initial and end-of-day silicone hydrogel contact lens wear by Han-Yin Sun, Ren-Yu Yang, Ya-Yu Chen

“…During the first visit (Day 1), ocular health, refractive error, visual acuity, first and average non-invasive tear break-up time (F-NITBUT and A-NITBUT), and subjective ratings were measured without lenses and 15 min after wearing Somofilcon A daily disposable lenses. …”
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Toward the standardization of radiopharmaceutical therapies: a technical note evaluating a clinical dosimetry workflow for single-time-point 177Lu SPECT/CT-based therapies by Taehyung Peter Kim, Wendy Siman, Vivek Mishra, Santiago Aguirre, Siju C. George

“…The accuracy and variability of the dosimetry workflow were evaluated using percent error and the coefficient of variation (CV) of mean absorbed doses. …”
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Prevalence of visual impairment and outcomes of cataract surgery in Chaonan, South China. by Xiujuan Zhang, Emmy Y Li, Christopher Kai-Shun Leung, David C Musch, Xin Tang, Chongren Zheng, Mingguang He, David F Chang, Dennis Shun-Chiu Lam

“…The principal cause of blindness and SVI was cataract, accounting for 67.1% and 67.6% respectively, and the principal cause of VI was refractive error (46.9%). One hundred and fifty five out of 3484 (4.4%) people (211 eyes) had cataract surgery. …”
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Artificial Intelligence in Wound Care: A Narrative Review of the Currently Available Mobile Apps for Automatic Ulcer Segmentation by Davide Griffa, Alessio Natale, Yuri Merli, Michela Starace, Nico Curti, Martina Mussi, Gastone Castellani, Davide Melandri, Bianca Maria Piraccini, Corrado Zengarini

“…Traditional methods, such as manual segmentation, are time-consuming and error-prone. This review evaluates the potential of artificial intelligence AI-powered mobile apps for automated ulcer segmentation and their application in clinical settings. …”
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Evaluation of energy intake by brief-type self-administered diet history questionnaire among male patients with stable/at risk for chronic obstructive pulmonary disease by Yosuke Yamada, Satoshi Sasaki, Shigeho Tanaka, Yuki Nishida, Satoshi Nakae, Fuminori Katsukawa, Hidetoshi Nakamura, Toru Shirahata, Hideaki Sato, Sanehiro Yogi

“…Age, weight, anxiety and interleukin 6 were responsible for 61.7% of the variance in the difference between both EIs in a multiple regression model.Conclusions The BDHQ underestimated EI among male patients with stable/at risk for COPD, but this estimation error was within an acceptable range compared with previous studies. …”
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