Experience of neuronet diagnosis and prediction of peptic ulcer disease by results of risk factors’ analysis by V. A. Lazarenko, A. E. Antonov, V. K. Markapuram, K. Awad

“…The maximum of absolute prognosis error in the clinical testing set did not exceed 2.2 at p = 0.95 and 2.3 years at p = 0.99.Conclusion.  …”
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Prediction of the remaining useful life of a milling machine using machine learning by Abbas Al-Refaie, Majd Al-atrash, Natalija Lepkova

“…Several ML algorithms were applied and the results were evaluated using five measures involving Accuracy, Mean Absolute Error (MAE), Mean Squared Error (MSE), R-squared, and R-squared adjusted. …”
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One-way Video Transmission Technology for Urban Rail Transit Based on EndpointDevices by ZHANG Lidong, XU Ziheng, WANG Kun

“…UPET (unidirectional private exchange tunnel) technology is employed for the design of one-way transmission channels, and FEC (forward error correction) technology is used for error correction and verification design. …”
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Assessing and adjusting for bias in ecological analysis using multiple sample datasets by Qingfeng Li

“…Both adjustment methods effectively mitigate this bias, with the measurement-error-adjusted estimator showing particular robustness in real-world applications. …”
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Determinants Factors in Predicting Life Expectancy Using Machine Learning by B. Kouame Amos, I. V. Smirnov

“…For model selection, the Akaike information criterion, the coefficient of variation and the mean square error were used. R2 and the mean square error were used.   …”
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Methods Research on Correction for Intracranial Metal Artifacts Based on Prior Image Utilization by Zonggui CHEN, Ningning WEI, Zhoufan LI, Guihong PAN, Minjiang HUANG

“…Conclusion: This algorithm effectively suppresses metal artifacts while preserving image edge information.…”
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A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data by Guang-Hui Fu, Min-Jie Zong, Feng-Hua Wang, Lun-Zhao Yi

“…SPLS can obtain much lower mean square of prediction error (MSE) than Enet. So SPLS is more suitable when the attention is to get better model fitting accuracy. …”
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RELIABILITY AND SENSITIVITY OF COUNTERMOVEMENT JUMP-DERIVED VARIABLES IN DETECTING DIFFERENT FATIGUE LEVELS by Débora Aparecida Knihs, Daniele Detanico, Daniel Rocha da Silva, Juliano Dal Pupo

“…Intraclass coefficient correlation, typical error, smallest worthwhile change and magnitude-based inference were analyzed. …”
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Automated radiographic assessment of lower limb alignment using deep learning in a data-constrained clinical setting by Luca Häfliger, Andrea Cina, Louis Leuthard, Hannes A. Rüdiger, Vincent A. Stadelmann

“…Conclusion The proposed approach demonstrates high accuracy and reliability for automated lower limb alignment assessment, offering a robust solution for clinical research with limited annotated datasets.…”
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Comparison of Static and Dynamic Balance of Athletes of Different Sports in Conditions With and Without Posture Disturbances by Mostafa Shadkanlu Ostad, Ali Asghar Norasteh, Hamed Babagoltabar Samakoush

“…Static balance was assessed using the Balance Error Scoring System and dynamic balance measurement was done using the Star Excursion Balance Test. …”
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Punctate Inner Choroidopathy by Mariana Sá-Cardoso, Arnaldo Dias-Santos, Natália Nogueira, Heloísa Nascimento, Rubens Belfort-Mattos

“…Laboratory and imaging evaluation for evidence of autoimmune and infectious diseases were negative. Conclusion. The PIC is a relatively uncommon condition. …”
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Length‐weight relationships of Baikal omul <i>Coregonus migratorius</i> during the feeding season in the Selenga area, Russia by P. N. Anoshko, M. M. Makarov, D. A. Ustarbekova, E. V. Dzyuba

“…There were no significant differences between fish of different sexes and MEG, the coefficients differing at the level of statistical error. It is shown that the LWR in fish during feeding periods of different years is quite stable.Conclusion. …”
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Neural network-based evaluation method for alignment state of air spring vibration isolation device by Zhiwei LIU, Liang SHI, Song LIU

“…The model exhibits strong generalizability across different device types, with a prediction error of less than 0.5 and an alignment prediction accuracy of 96.29%.ConclusionThe proposed model does not rely on system parameters and performs well in predicting the states of alignment for both small and large devices. …”
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Heidelberg retina tomography II parameters in evaluating high- and normal-pressure glaucoma progression by Risović Dušica, Gvozdenović Ranko, Marjanović Ivan, Abazi Zihret, Stamenković Miroslav

“…The results of 73 eyes of 73 patients with HPG and NPG were analyzed in relation to age, refractive error, quality of HRT images and stereometric parameters. …”
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Computed Tomography-Based Estimation of Facial Soft-Tissue Thickness for Forensic Facial Reconstruction among Manipuri Population by Dhimi Nongmeikapam, Smitha Rani, Swathi Kumareswar, Nitin V. Muralidhar, K. Stavelin Abhinandithe, N. Divyashree

“…In comparison with values of other Indian populations, differences were observed in certain landmarks. Conclusion: This study plays a part in the growing database of FSTT globally. …”
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Relief as a reward: hedonic and neural responses to safety from pain. by Siri Leknes, Michael Lee, Chantal Berna, Jesper Andersson, Irene Tracey

“…Of the brain regions that are involved in mediating pleasure, the nucleus accumbens also signals unexpected reward and positive prediction error. We hypothesized that accumbens activity reflects the level of negative expectation and subsequent pleasant relief. …”
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Brain Imaging and Ultrastructural Studies of the Effect of Electroacupuncture on Improving Learning and Memory Impairments in the Focal Cerebral Isch-emia Rats by Ruhui LIN, Kunqiang YU, Xiaojie LI, Congkuai ZHAO, Chunyan LI

“…The learning and memory ability of the rats was evaluated by Morris water maze, the cerebral infarction volume was detected by the small animal MRI and TTC staining, the brain ultrastructure was observed by transmission electron microscopic (TEM).Results:The time finding the plat and the error rate significantly reduced in the EA group in comparison with that in the IC group, while the cerebral infarction volume significantly decreased and the brain ultrastructure(mitochondria, nuclear membrane, etc.)of the rats was improved significantly, which showed that there was a statistically significant difference between the groups(<italic>P</italic>&lt;0.05).Conclusion:Electroacupuncture at <italic>Baihui</italic> and <italic>Shenting</italic> could improve the ability of learning and memory after MCAO by reducing the cerebral infarction volume and protecting the brain ultrastructure in rats.…”
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Visual impairment and blindness among children: A literature review by Soukaina Loulidi, Mohamed Loukid, Samia Boussaa

“…Moreover, cataract, corneal opacities, corneal scar were the main causes in low-income countries, while retinopathy of prematurity, cataract and refractive error were the main causes in moderate-high-income countries. …”
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Medical students’ perspectives on effective and ineffective teaching behaviors in lectures by KwangHo Mun, Hye Jin Park

“…Results Effective behaviors included appropriate voice volume, clear pronunciation, error-free lecture materials, clear explanations of learning objectives, and humor. …”
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INDIRECT MEASUREMENT METHODOLOGY OF CARGO WEIGHT LIFTED BY THE EXCAVATOR IN THE CRANE MODE by M. S. Korytov, I. K. Kanin

“…The relative reduced measurement error in the range of boom angles’ measurement and the crane-excavator handle was less than ten percent. …”
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