Case Study of Hail Size Distribution in Bayannur Area based on Two-Dimensional Video Disdrometer by Yan LIU, Debin SU, Ning Yang, Liang Wang

“…A hail event with rainfall was observed on July 27， 2020 using a two-dimensional video distrometer （2DVD） deployed at Wuyuan National Meteorological Station， Wuyuan County， Bayannur City， Inner Mongolia.After quality controlled of the 2DVD data based on the relationship between particle diameter and empirical local particle terminal fall velocity are used then for the analysis of， the particle number distribution （ND） under different diameter-velocity and different diameter-axis ratios， and the evolution of parameters such as particle spectrum， median volume diameter， mass-weighted average diameter， total number of particles density and precipitation intensity during this precipitation process have been analyzed.The results show that： （1） The measured terminal falling velocity of raindrops with a diameter of 0.1~0.5 mm is larger than the terminal falling velocity calculated by the empirical formula， and the falling velocity of hail with diameter of 5.0~10.4 mm is 7.2~9.0 m·s-1， which is less than the local particle terminal velocity.The axial ratio of small raindrops with a diameter of 0.1~2.0 mm is 0.9~1.1， the axial ratio of big raindrops with a diameter of 2~5 mm is 0.7~1.0， and the axial ratio of hail particles with a diameter of 5.0~10.4 mm is 0.5~1.0.（2） By the 2DVD observation， the event discussed in this paper is a precipitation process of rain followed by hail， hail-rain mixture and then rain again.The hail-spectrum width is 10.4 mm.There are three maximum diameters in the minute-by-minute precipitation particle spectrum.And there is a short period of no precipitation between rainfall and hail.The spectrum width and particle number concentration increase and decrease simultaneously with time.During the hailfall stage， each parameter increases sharply to the peak.（3） The M-P distribution is used to simulate the raindrop spectrum and hail spectrum during the hailfall period， the simulated spectrum is larger than that observed by 2DVD.The logarithmic root mean square error between the simulated raindrop spectrum and the measured one is 1.02， and the root mean square error between the simulated hail spectrum and the measured spectrum is 2.21.…”
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Translating human information into robot tasks: action sequence recognition and robot control based on human motions by Taichi Obinata, Kazutomo Baba, Kazutomo Baba, Akira Uehara, Akira Uehara, Hiroaki Kawamoto, Hiroaki Kawamoto, Yoshiyuki Sankai, Yoshiyuki Sankai, Yoshiyuki Sankai

“…In this study, aiming to reduce the workload on researchers and ensure reproducibility in trial-and-error tasks, we proposed and developed a system that collects human motion data, recognizes action sequences, and transfers both physical information (including skeletal coordinates) and task information to a robot. …”
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A Polar-Coded PAPR Reduction Scheme Based On Hybrid Index Modulation by Si-Yu Zhang, Xinwei Yue, Behnam Shahrrava, Yuexia Zhang, Gongpu Wang

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D-optimal candexch algorithm-enhanced machine learning UV-spectrophotometry for five-analyte determination in novel anti-glaucoma formulations and ocular fluids: four-color sustain... by Omkulthom Al kamaly, Lateefa A. Al-Khateeb, Michael K. Halim, Noha S. katamesh, Galal Magdy, Ahmed Emad F. Abbas

“…The optimized MCR-ALS model outperforms in predictive ability, with recovery percentages of 98–102%, low root mean square errors of calibration and prediction, favorable bias-corrected mean square error of prediction, relative root mean square error within acceptable limits, and adequate limits of detection for pharmaceutical analysis. …”
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The effect of the burn wounds dressing and mechanical debridement training package on nursing interns’ knowledge and executive functions: A quasi-experimental study by Manizhe Otaghi, Mohamadreza Bastami, Yousef Veisani, Hamid Taghinejad, Alireza Vasiee, Arman Azadi

“…Knowledge and executive function in mechanical debridement of burn wounds were assessed using the KMDBWT and EFMDBWT tools before and two weeks after the intervention. Data were analyzed with a standard error of 0.05 using Kolmogorov-Smirnov, independent t, paired t, chi-square, and analysis of covariance tests by SPSS V.16. …”
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Exploring the Dynamics of Dietary Self-Monitoring Adherence Among Participants in a Digital Behavioral Weight Loss Program: Model Development Study by Hui Lin, Min Yang, Zhiheng Zhou, Yu Zhang, Ning Deng

“…Model performance was evaluated using mean square error, root mean square error (RMSE), and goodness of fit. …”
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Facilitating comprehensive child health monitoring within REDCap - an open-source code for real-time Z-score assessments by Priyanka Mendon, Michael Witsch, Marianne Becker, Aurélie Adamski, Michel Vaillant

“…Conclusion The integration with REDCap streamlines data collection and analysis, eliminating the need for separate software and data exports. …”
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Comparative informative value of three blood pressure measurement methods in antihypertensive therapy effectiveness assessment by V. M. Gorbunov, R. G. Oganov, E. V. Platonova, A. D. Deev

“…Results. «Error» prevalence for dispersion of averaged 24-hour BPM data was 19-40%, averaged BPSC data – 7-22%. …”
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Coordinate Transformation between Global and Local Datums Based on Artificial Neural Network with K-Fold Cross-Validation: A Case Study, Ghana by Yao Yevenyo Ziggah, Hu Youjian, Alfonso Rodrigo Tierra, Prosper Basommi Laari

“…The statistical analysis of the results revealed that incorrect data partition could lead to a false reportage on the predictive performance of the transformation model. …”
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Explainable AI for lung cancer detection via a custom CNN on CT images by Mohamed Hammad, Mohammed ElAffendi, Ahmed A. Abd El-Latif, Abdelhamied A. Ateya, Gauhar Ali, Pawel Plawiak

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Forecasting extremes of football players’ performance in matches by Michał Nowak, Bartosz Bok, Artur Wilczek, Łukasz Oleksy, Mariusz Kamola

“…The data were collected from January to June 2023. The collected training and matched data average is 9000 records per month. …”
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Development and validation of COVID-19 vaccination perception (CoVaP) instrument among healthcare workers in Malaysia by Siti Nur Aisyah Zaid, Azidah Abdul Kadir, Mohd Noor Norhayati, Basaruddin Ahmad, Muhamad Saiful Bahri Yusoff, Anis Safura Ramli, Jasy Suet Yan Liew

“…The data were analysed using Analysis of Moment Structure version 28.0 and Statistical Packages for the Social Sciences version 26. …”
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Tablets Development Based on Clover Meadow Grass Phytosubstance Using Design of the Experiment Method and QdD Tools by A. N. Golubev, Th. I. Nguen, V. V. Sorokin, I. E. Kauhova

“…CMAs affect the critical quality attributes (CQA) of the dosage form, which determine the effectiveness of the composition.Based on the initial data analysis, optimal content boundaries for each component were established. …”
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Prediction of Soil Carbon Sequestration in Rangelands Regarding the Depth and Elevation of Sample Locations using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case Study: Lar Wat... by zeinab jafarian, zhila ghorbani

“…In the modeling part, the ANFIS model with higher accuracy (R2 = 0.4736) and lower error (RMSE = 0.0274) predicted the soil CS related to a regression model with lower accuracy (R2 = 0.4308) and higher error (RMSE = 0.069). …”
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Is the social withdrawal subscale a valid instrument to assess social withdrawal among colorectal cancer survivors with permanent stomas? A validation study by Guopeng Li, Xudong He, Qi Yao, Xiaoling Dong

“…Confirmatory factor analysis (CFA), reliability analysis, and tests for convergent and discriminant validity were performed with the second sample of 245 survivors. …”
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Machine learning-based hydrograph modeling with LSTM: A case study in the Jatigede Reservoir Catchment, Indonesia by Neil Andika, Piter Wongso, Faizal Immaddudin Wira Rohmat, Siska Wulandari, Ammar Fadhil, Riswanto Rosi, Nabila Siti Burnama

“…Sensitivity analysis revealed a significant decline in model performance when applied to a partial dataset, highlighting the importance of data representativeness in model calibration. …”
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Developing a Simple Electricity Consumption Prediction Formula for the Pre-Introduction Prediction for Electric Buses by Yiyuan Fang, Wei-hsiang Yang, Yuto Ihara, Yushi Kamiya

“…Finally, we validate the validity and accuracy of the constructed formula using electric buses and their on-road operational data that we developed earlier. The verification results showed that, after obtaining vehicle-side and road-/operation-side information, the theoretical formula constructed in this study achieved an electricity consumption prediction with an average error of 6% (high-accuracy method). …”
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SC-GROG followed by L+S reconstruction with multiple sparsity constraints for accelerated Golden-angle-radial DCE-MRI. by Faisal Najeeb, Kashif Amjad, Irfan Ullah, Hammad Omer

“…Additionally, GRASP uses NUFFT gridding to map Golden-angle-radial data to Cartesian grid before NL-CG based CS reconstruction. …”
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A Retrospective Study to Evaluate the Quality Assurance of Thyroid Profile In A Tertiary Care Clinical Biochemistry Laboratory by Harish Rangareddy, Shashidhar Kurpad Nagaraj, Prabhavathi Kannala

“…The data considered included Bio-Rad Lyphochek Immunoassay Internal Quality Control (IQC) Control and Bio-Rad External Quality Assurance Scheme (EQAS) Immunoassay monthly program data. …”
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Numerical Simulation and Holdup Prediction of Oil-Water Two-Phase in Low Yield Shale Oil Near Horizontal Wells by QIN Honglong, LIU Junfeng, SHI Shoubo, DAI Yuexiang

“…This approach achieved accurate water holdup predictions for near-horizontal well oil-water two-phase flow under diverse conditions. Comparative analysis with experimental data demonstrated high prediction accuracy, with a relative error of 3.222%, meeting the validation requirements for downhole instrument water holdup measurements.…”
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