Deep-learning-based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy by Yuta Tokuoka, Tsutomu Endo, Takashi Morikura, Yuki Hiradate, Masahito Ikawa, Akira Funahashi

“…The maximum prediction accuracy of our approach was 79.58% which rose to 98.33% with allowance for a prediction error of $$\pm 1$$ stage. Remarkably, although the model was not explicitly trained on the stage transition patterns, it inferred the patterns involved in the spermatogenesis. …”
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Distributed Fusion Filtering in Networked Systems with Random Measurement Matrices and Correlated Noises by Raquel Caballero-Águila, Irene García-Garrido, Josefa Linares-Pérez

“…The distributed fusion state estimation problem is addressed for sensor network systems with random state transition matrix and random measurement matrices, which provide a unified framework to consider some network-induced random phenomena. …”
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Critical flicker frequency measurement training by V. V. Rozhentsov

“…Measured CFF value was noted on the plane in the coordinates «CFF value — the number of measurement», a graph of CFF values was drawn as a function F = f (Ni), where Ni — number of i-th measurement, i = 1, 2,…, k, k — number of measurements to obtain a quasi-stationary mode when the transition process is completed. In the quasi-stationary mode we were performed a specified number of measurements and then calculated the CFF estimate as the mean value of test results obtained in the quasi-stationary mode.Results: Reducing the random component of the CFF measurement error of study group of 10 pre-trained subjects was received in 8 of them and varies from 31.3 to 78.6 %.Conclusion: Analyzing the dynamics of CFF values obtained during its measurement and performing a statistical analysis of the measurements obtained in the quasi-stationary mode, we can improve the accuracy of CFF estimate.…”
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Magic-Induced Computational Separation in Entanglement Theory by Andi Gu, Salvatore F.E. Oliviero, Lorenzo Leone

“…This separation induces a computational phase transition: entanglement-related tasks are efficiently solvable in the ED phase, but become intractable in the MD phase. …”
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Effects of different wearable sensors and locomotion tasks on machine learning-based joint moment prediction by Jonas Weber, Bernd J. Stetter

“…Leave-one-subject-out cross-validations were conducted, and correlation coefficients (r), root mean square errors (RMSE) and relative root mean square errors (relRMSE) were determined to compare model performances. …”
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High-fidelity QND readout and measurement back-action in a tantalum-based high-coherence fluxonium qubit by Gaurav Bothara, Srijita Das, Kishor V. Salunkhe, Madhavi Chand, Jay Deshmukh, Meghan P. Patankar, R. Vijay

“…We find that the measurement fidelity and the QND nature are limited by state-mixing errors, and our results suggest that a careful study of measurement-induced transitions in the fluxonium is needed to further optimize the readout performance.…”
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Residential Electrical Load Forecasting Based on a Real-Time Evidential Time Series Prediction Method by M. Mroueh, M. Doumiati, C. Francis, M. Machmoum

“…Using lagged power values and weather data, the predictors generate estimated power values along with corresponding uncertainty or error levels. A mass function is assigned to each predictor, taking into account both prediction and error data, even when some information is missing. …”
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Combined Localization Method for Multimodal Wheel-Track Robots in Sheltered Space by Jiazhen Lin, Zhong Su, Hui Zhao, Yuxin Zhao, Xinkai Wang, Hao Zhou

“…This accounts for only 0.31% of the total distance traveled in the outdoor experiments, with an average error of 0.1611 meters. In the context of relative positioning within the underground tunnel, the localization error was measured at 0.2143 meters, representing a mere 0.2306% of the total distance covered in the tunnel. …”
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Soiling Forecasting for Parabolic Trough Collector Mirrors: Model Validation and Sensitivity Analysis by Areti Pappa, Johannes Christoph Sattler, Siddharth Dutta, Panayiotis Ktistis, Soteris A. Kalogirou, Orestis Spiros Alexopoulos, Ioannis Kioutsioukis

“…The model demonstrated robust performance, particularly under dry summer conditions, with normalized root mean square errors (NRMSE) below 1%. Sedimentation emerged as the dominant soiling mechanism, while the contributions of impaction and Brownian motion varied according to site-specific environmental conditions. …”
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The potential of combining passenger rail with freight: A New York City case study by Pouria Bacher, Jacqueline M. Klopp, Martina Ortbauer, Maximilian Lackner

“…We visualized a freight train timetable and graph, analyzed meet-errors between freight and passenger trains, and formulated prevention policies. …”
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Model predictive control for quad active bridge DC-DC converter for more electric aircraft applications by Ahmed Hamed Ahmed Adam, Jiawei Chen, Minghan Xu, Salah Kamel, Guma Ali

“…An adaptive step is implemented for quick transitions, significantly reducing computational demands. …”
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CINNAMON-GUI: Revolutionizing Pap Smear Analysis with CNN-Based Digital Pathology Image Classification [version 1; peer review: 2 approved] by Luca Zammataro

“…Methods CINNAMON-GUI is an open-source digital pathology tool based on CNNs for classifying Pap smear images. Transitioning to a Shiny app in Python, it offers enhanced user interface and interactivity. …”
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Analysis of chemical reactive nanofluid flow on stretching surface using numerical soft computing approach for thermal enhancement by Saleem Nasir, Abdallah S. Berrouk, Taza Gul

“…Using the comparative configurations of MSE, error histograms, state transitions, correlation, and regression, the reliability and competence of the stochastic technique are verified.…”
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Writing skills improvement and development of critical thinking by S. Revutska

“…The main requirements for the Complex for improving writing skills are as follows: grammatical competence (words and rules) is supposed to be basically formed; critical thinking skills should correspond to the accompanying mental operations; it is mandatory to work on words and phrases  that enable logical transitions between between pieces of information in narration ; it is mandatory to work on techniques that train emotional control, the ability to communicate effectively under pressure while maintaining neutrality; and the development of cooperation skills and self-organization with the use of digital tools is essential. …”
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Analysing the ML-Based Algorithms for GNSS Data Bit Synchronization and Decoding by Bheki Madonsela, Emmanuel Wanyama Mukubwa, Innocent E. Davidson

“…The satellite constellation and environmental errors have a significant impact on the navigation system. …”
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Unraveling Patient Safety Culture Trends in U.S. Hospital Settings: A Yearly Retrospective Analysis by Hassan Alabdullah, Waldemar Karwowski

“…Key strengths across all years included “Supervisor/Manager Expectations” and “Teamwork within Units”, while persistent weaknesses were observed in “Nonpunitive Response to Error” and “Handoffs and Transitions”. Hospitals in the Southern and Central regions reported the highest positive perceptions. …”
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Experimental determination of effective porosity in terrestrial shale reservoirs and logging characterization methods： A case study of shale of Es4UC in Boxing Subsag by CHEN Bing

“…Two conventional logging evaluation models were established， containing lithology indicators （natural Gamma） and physical property indicators （interval transit time and neutron porosity）. The calculation results have high accuracy， and the relative errors are all below ±12%， which meets the requirements of reserve estimation regulation， achieving accurate characterization of effective porosity of shale reservoirs， and the models were successfully applied in reserve reporting.…”
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FORECASTING NICKEL PRICES WITH THE AUTOMATIC CLUSTERING FUZZY TIME SERIES MARKOV APPROACH by M. Al Haris, Wulan Sari, Fatkhurokhman Fauzi, Muhammad Sam'an

“…Subsequently, forecasting was based on these fuzzy relations and a Markov chain transition probability matrix involving three stages to enhance forecast accuracy. …”
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Improving phenological event identification in trees using manually measured dendrometer data: conventional approaches vs. the novel two-stage threshold approach by Przemysław A. Jankowski, Przemysław A. Jankowski, Rafael Calama, Jorge Aldea, Matías García, Guillermo Madrigal, Marta Pardos

“…The method’s reliance on direct growth rate transitions, rather than smoothed curves or arbitrary percentiles, reduced errors associated with hydration-related stem fluctuations. …”
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Modeling of single-point line meshing gears based on cubic NURBS surface interpolation by CHEN Chong, GU Liyao, ZHU Pengcheng

“…ObjectiveThe gear profile equation of point-line meshing gear is a complex piecewise function, and the modeling error of the gear tooth profile equation is large. …”
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