Development platform for artificial pancreas algorithms. by Mohamed Raef Smaoui, Remi Rabasa-Lhoret, Ahmad Haidar

“…Protocols include trial duration in days, mealtimes and amounts, variability in mealtimes and amounts, carbohydrate counting errors, snacks, and onboard insulin levels.<h4>Results</h4>The platform facilitates development by solving the ODE model in the cloud on large CPU-optimized machines, providing a 62% improvement in memory, speed and CPU utilization. …”
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Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park by WANG Dinghui, SUONAN Cairang, YU Hongyan, DU Yangong

“…[Conclusion] The species diversity of the Qinghai spruce forest is relatively low and is significantly influenced by tree height, species richness, and the Simpson index. …”
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A Relay Optimization Method for NOMA-Based Power Line Communication Systems by Lenian Zhang, Yuntao Yue, Peng Li, Dong Liu, Haoran Ren

“…Experiments validate the effectiveness of the LSTM model in predicting CSI data in a NOMA communication system, demonstrating generally good performance despite some prediction errors. Simulation results show that this approach significantly enhances system performance, reduces power consumption, and meets constraints on system capacity, bit error rate (BER), and signal-to-interference-plus-noise ratio (SINR) in complex PLC environments. …”
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Age-stratified analysis of adverse event signals for clarithromycin: a disproportionality analysis using the FDA Adverse Event Reporting System by Haiyan Mai, Zhenpo Zhang, Yankun Liang, Jingping Zheng, Ling Su

“…Abnormal product taste, taste disorder, and medication errors related to drug interactions specified in the package insert were the strongest signals in the age groups 0–17, 18–44, 45–64, and ⩾65 years, respectively. …”
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A Compensator Microelectromechanical Acceleration Transducer with a Piezoelectric Sensing Element and Optical Reading by V. I. Busurin, K. A. Korobkov, Lwin Htoo Zaw

“…In order to improve manufacturability, to extend the measurement range and to reduce errors of acceleration transducers with optical tunneling, compensation circuits with a piezoelectric actuator as an active sensor can be used.Aim. …”
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Enolases: Limitations for Implementation in Clinical Practice (Critical Review) by A. М. Golubev

“…Criteria for selecting relevant publications from PubMed and Elibrary were based on a presence of authors' recommendations or current guidelines on clinical use of ENOs for diagnostic or prognostic purposes.Specific properties of human ENO isoenzymes were reviewed, clinical aspects and recommendations for their clinical use, as well as methodological and procedural errors in ENO testing were considered.The following controversial issues were identified: the measured level of ENOs does not characterize the true enzymatic activity of their numerous molecular isoforms; identification of specific ENO isoforms using antibodies to structural subunits does not allow assessment of the true content and enzymatic activity of potentially circulating isoenzymes (e.g., gamma-gamma and alpha-gamma ENOs); the concept of cell specificity ascribed to heterodimers (in particular, gamma-alpha enolase is considered to be neuron-specific) is not supported by the results of the available studies, since this heterodimeric form of ENO is present in a variety of human tissues; some procedural issues are not taken into account (e.g., latent hemolysis, lack of standardized assessment methods, etc.).Conclusion. …”
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Development and Validation of a Computer Vision-Based Tool for Automated 3D Dental Model Arch Prediction by Juan David Tamayo Quintero, Juan Bernardo Gómez Mendoza, Sonia Victoria Guevara Pérez

“…Our validations employed attribute agreement analysis, the root mean squared error, the sum of squared errors, and a Gage R&R Study. …”
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Features of management strategy for the implementation of innovations aimed at improving the competitiveness of the enterprise by V. S. Alieva

“…This  approach  leads  to  a  large  number  of  errors  and  an increase in the losses of the enterprise. …”
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Investigating the Reliability of the Knee Joint Flexors and Extensors Muscles Length Tests Modified to Meet the Requirements of Scientific Research by Rafał Gnat, Anna Gogola, Agnieszka Polaczek, Piotr Woźniak, Tomasz Wolny

“…The following indices of reliability were calculated: Intraclass correlation coefficients (ICC), standard errors of measurement, and smallest detectable differences. …”
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Assessing Nurses’ Knowledge Regarding the Application of Artificial Intelligence Among Nursing Practice by Mai M. Yaseen, Fatmah H. Alsharif, Reem A. Altaf, Taif W. Asiri, Rifan M. Bagies, Salwa B. Alharbi, Bothinah A. Altaf

“…Limitation: Nurses were not included in previous studies on AI, and most nursing participants need more interest in AI. Conclusion: The study’s results showed that nurses have positive opinions of AI in the healthcare industry, which will help them speed up procedures and reduce medical errors. …”
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Hyperosmolar Coma: Diagnostic Difficulties on the Clinical Example by L. M. Farkhutdinova

“…Hyperosmolar state often develops in older patients with polymorbidity, and neurological symptoms predominate in the clinical picture, which also complicates diagnosis and causes diagnostic errors. The article presents a clinical case of hyperosmolar hyperglycemic state, the diagnosis of which caused difficulties at all stages, including postmortem pathological examination. …”
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Research on Dynamic Outpatient Respiratory Nosocomial Infection Control Methods Through Multi-Data Prediction by Wang Y, Ma W, Yang Y, Zhao H, Zhao Z, Zhao X

“…The mean absolute percentage errors (MAPE) of the data selected to estimate the time range of the high-risk and low-risk periods were 15.8%, 9.2%, 15.4%, 16.8%, 25.6%. …”
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New management grading for pig farms: management grading system using pig carcass weight, back fat thickness and k-means algorithm by Youngho Lim, Jaeyoung Kim, Gwantae Kim, Jungseok Choi

“…In the regression analysis of the five primal cuts (shoulder blade, shoulder picnic, loin, belly, and ham) production (kg) for each group, all regression equations showed low errors (MAE<0.7), indicating that the model can predict the production of primal cuts by group. …”
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Three-point flanged optic piercing intrascleral fixation of multifocal intraocular lenses by Youngsub Eom, Hyun Sun Jeon, Seong-Jae Kim, Dong Hyun Kim, Jong Suk Song, Dooho Brian Kim

“…Preoperative and postoperative uncorrected distance visual acuity (UDVA), postoperative uncorrected intermediate visual acuity (UIVA) at 66 cm, uncorrected near visual acuity (UNVA) at 40 cm, residual refractive errors, and the amount of IOL decentration were evaluated. …”
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Clinical assessment of female sexual hormones and some antioxidant vitamins in Iraqi women with polycystic ovary syndrome according to body mass index and blood group variables by Ashwaq A. SHENTA, Abbas D.M. Al-MALIKI

“…Conclusion. Effect of the blood group and BMI on the values of the female sexual hormones (LH, FSH and PRL) and the vitamins (A, E and C). …”
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Refractive and Biometric Outcomes in Patients with Retinopathy of Prematurity Treated with Intravitreal Injection of Ranibizumab as Compared with Bevacizumab: A Clinical Study of C... by Yen-Chih Chen, San-Ni Chen, Benjamin Chi-Lan Yang, Kun-Hsien Lee, Chih-Chun Chuang, Chieh-Yin Cheng

“…Comparisons in biometric finding showed that IVB patients had shallower anterior chamber depth (p=0.01). Conclusion. Both IVR and IVB showed low refractive errors, even followed at the corrected age of 3 years. …”
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From single to multiple assessments in a foundational mathematics course for engineering students: what do we gain? by Yusuf Feyisara Zakariya, Yusuf Feyisara Zakariya, Morten Tellenes Berg, Thomas Gjesteland, Ramatu Ematum Umahaba, Mukhtar Oluwafemi Abanikannda

“…Although students appreciated the flexibility of digital examinations, they noted limitations in feedback on minor errors.ConclusionThis research highlights the effectiveness of multiple low-stakes assessments in enhancing a supportive learning environment and suggests that digital tools can improve engagement and understanding in mathematics. …”
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High-throughput image-based monitoring of cell aggregation and microspheroid formation. by Thomas Deckers, Toon Lambrechts, Stefano Viazzi, Gabriella Nilsson Hall, Ioannis Papantoniou, Veerle Bloemen, Jean-Marie Aerts

“…In addition, the different morphological features were validated, obtaining average relative errors between 0.78-4.50%. On average, a spheroid was processed 73 times faster than a human operator. …”
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CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalities by Rashik Shahriar Akash, Radiful Islam, SM Saiful Islam Badhon, KSM Tozammel Hossain

“…Traditional diagnostic methods like Pap smears and cervical biopsies rely heavily on the skills of cytologists, making the process prone to errors. This study aims to develop CerviXpert, a multi-structural convolutional neural network designed to classify cervix types and detect cervical cell abnormalities efficiently. …”
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Recognizing and counting Dendrocephalus brasiliensis (Crustacea: Anostraca) cysts using deep learning. by Angelica Christina Melo Nunes Astolfi, Gilberto Astolfi, Maria Gabriela Alves Ferreira, Thaynara D'avalo Centurião, Leyzinara Zenteno Clemente, Bruno Leonardo Marques Castro de Oliveira, João Vitor de Andrade Porto, Kennedy Francis Roche, Edson Takashi Matsubara, Hemerson Pistori, Mayara Pereira Soares, William Marcos da Silva

“…Experiments showed evidence that YOLOv3 is superior to Faster R-CNN, achieving an accuracy rate of 83,74%, R2 of 0.88, RMSE (Root Mean Square Error) of 3.49, and MAE (Mean Absolute Error) of 2.24 on cyst detection and counting. …”
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