Impact of Stochastically Perturbed Terminal Velocities on Convective-Scale Ensemble Forecasts of Precipitation by Shizhang Wang, Xiaoshi Qiao, Jinzhong Min

“…This work demonstrates the sensitivity of precipitation ensemble forecasts to terminal velocity perturbations and the potential benefits of adopting these perturbations; however, whether the perturbations actually result in significant improvements in precipitation forecast skill needs further study.…”
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Smartphone-based health monitoring in India: Data collection and evaluation for pulse rate estimation by Achal Shetty, Sanjana S. Narasimhamurthy, KS Nataraj, Srilakshmi M. Prabhu, Neha Jagadeesh, Kunal Katre, Sumit Kumar, Neelesh Kapoor, Sudhir P. Haladi, Sankalp Gulati

“…Conclusion: Results indicate that the smartphone-based PPG signal captures sufficient information of the cardiac cycle to reliably estimate the pulse rate. …”
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Procedural aspects of the crime scene inspection as an investigative (search) activity: some issues for discussion by Y. Yu. Koniushenko

“…Based on the experience of the United States, including the Crime Scene Units and The Crime Scene Investigations Bureau, it was concluded that during the crime scene inspection to identify, capture and seize relevant objects,  which carry information about the circumstances of the criminal offense, a group of specialists from different fields of knowledge in accordance with their specialization but not one specialist should be involved according to Part 3 of Art. 237 of the PCP of Ukraine. …”
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Effects of Housing Systems on Production Performance, Egg Quality, Tonic Immobility and Feather Score in Laying Hens by Mert Erek, Erdal Matur

“…The housing system did not impact fearfulness; however, the deep‐litter housing increased the sensitivity to touch or capture. Whole body and regional plumage condition scores of free‐range hens elicited more favourable results than those kept in conventional cages. …”
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Feature engineering on climate data with machine learning to understand time-lagging effects in pasture yield predictionGitHub by Thirunavukarasu Balasubramaniam, Wathsala Anupama Mohotti, Kenneth Sabir, Richi Nayak

“…To address this, our study proposes an averaging-based feature engineering approach, effectively capturing the varying temporal dependencies across pasture species and also allowing interpretation of the dependencies. …”
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Application, opportunities, and challenges of digital technologies in the decarbonizing shipping industry: a bibliometric analysis by Guangnian Xiao, Lei Pan, Fengbo Lai

“…Concerning emission prediction, future research efforts could focus on integrating more diverse external data sources into emission prediction models, adopting emerging technology applications, such as ship-based carbon capture (SBCC), introducing blockchain into smart emission monitoring systems, etc. …”
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Intra-Individual Variation in the Jump Smash for Elite Malaysian Male Badminton Players by Yuvaraj Ramasamy, Yeap Ming Wei, Harley Towler, Mark King

“…Twenty-five jump smashes were recorded using a 3D motion capture system, with the three fastest (95.0 ± 3.6 m·s⁻¹) and three slowest (85.8 ± 5.8 m·s⁻¹) smashes per participant categorised into different groups. …”
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Distributed delays in a hybrid model of tumor-Immune system interplay by Giulio Caravagna, Alex Graudenzi, Alberto d’Onofrio

“…Thus, we follow this approach to model tumor cells, effector cells and Interleukin-2, in order to capture the Immune surveillance effect.   We here present a hybrid model with a generic delay kernel accounting that,due to many complex phenomena such as chemical transportation and cellular differentiation,the tumor-induced recruitment of effectors exhibits a lag period. …”
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Automated potato tuber mass estimation and grading with multiangle 2D images by Ayush K. Sharma, Lincoln Zotarelli, Alina Zare, Lakesh K. Sharma

“…Physical data of potato tubers from 23 different cultivars were collected, and their 2D images were captured under controlled light conditions from top and side angles. …”
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Effects of Payloads on Non-exhaust PM Emissions from A Hybrid Electric Vehicle during A Braking Sequence by Worawat Songkitti, Sutthiphong Sa-ard-iam, Chalermpol Plengsa-Ard, Ekathai Wirojaskunchai

“…The PM emission pattern during braking sequence is captured by the current PM measuring setup as seen in the literature. …”
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IMTLM-Net: improved multi-task transformer based on localization mechanism network for handwritten English text recognition by Qianfeng Zhang, Feng Liu, Wanru Song

“…Moreover, the localization mechanism (LM) is applied to enhance font structure feature extraction from image data, which in turn improves the model’s ability to capture complex details. Numerous experiments demonstrate that the proposed method achieves state-of-the-art results in handwritten text recognition.…”
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Extensive paralogism in the environmental pangenome: a key factor in the ecological success of natural SAR11 populations by Carmen Molina-Pardines, Jose M. Haro-Moreno, Francisco Rodriguez-Valera, Mario López-Pérez

“…Furthermore, this study demonstrates the power of long-read metagenomics in capturing the full genetic diversity of environmental SAR11 populations, overcoming the limitations of second-generation sequencing technologies in genome assembly. …”
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Importancia de la formación continua del profesorado en el área técnica y profesional by Víctor Servilio Arboleda García, Nixon Rolando Coronel Bermeo, Segress García Hevia

“…La información que sustentó la importancia, perspectivas y desafíos en la formación continua de los docentes, proviene de un estudio descriptivo con el cual se caracterizó las condiciones actuales que los docentes presentan con respecto a su formación y la manera como los conocimientos actualizados aportan al rendimiento académico de los estudiantes. …”
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Resilience in Crisis: A Longitudinal Study of Entrepreneurial Responses to COVID-19 pandemic by Yi Zhang, Xiaochen Bu

“…Semi-structured interviews were conducted with two Chinese entrepreneurs to capture evolving dynamics. Data analysis emphasises thematic coding and content analysis to identify the dimensions influencing entrepreneurs’ resilience and adaptability in the post-COVID-19 era. …”
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Constructing Attention-LSTM-VAE Power Load Model Based on Multiple Features by Chaoyue Ma, Ying Wang, Feng Li, Huiyan Zhang, Yong Zhang, Haiyan Zhang

“…Finally, the Attention-LSTM-VAE model is constructed to capture the temporal variations laws of load. The dataset includes 2 years of load values and weather data collected in Caojiaping, Hunan Province, China. …”
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Clinical utility of smartphone-based digital infrared thermal imaging in predicting vascular compromise in free flaps by Padmalakshmi Bharathi Mohan, S. Dineshkumar, Devi Prasad Mohapatra, Prasanth Penumadu, M.T. Friji, Ravi Kumar Chittoria

“…Digital thermal imaging captures and displays the infrared radiation emitted from an object. …”
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The influence of the processes of digitalization of the economy on the activities of non-financial institutions by G. N. Ryazanova, A. A. Sazanova, S. L. Sazanova

“…In the Russian Federation the development of digital technologies in various fields of activity is of great importance, which is reflected in official documents, targeted government programs, business analysts and business practices. All this actualizes the study of the problem of management transformation in non-financial organizations under the influence of the spread of digital technologies.The article examines the strategic challenges facing non-financial organizations of Russia in the digital economy. …”
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Information processes in Virtual 3D reconstruction of Roman Three-Bay Double Arch of Musti (Tunisia) by Jakub Franczuk

“…The study highlights the use of tools like Reality Capture, Archicad, Rhino, and Grasshopper to reconstruct historical monuments, focusing on accuracy in modeling and detailed parametric representations. …”
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Towards unbiased skin cancer classification using deep feature fusion by Ali Atshan Abdulredah, Mohammed A. Fadhel, Laith Alzubaidi, Ye Duan, Monji Kherallah, Faiza Charfi

“…The results demonstrate SWNet’s superiority, achieving an accuracy of 99.86% and an F1 score of 99.95%, underscoring its efficacy in gradient propagation and feature capture across various levels. This research highlights the significant potential of SWNet in advancing skin cancer detection and classification, providing a robust tool for accurate and early diagnosis. …”
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Propensity Score Matching: should we use it in designing observational studies? by Fei Wan

“…Common distance metrics cannot capture this “chance” nature in covariate imbalance, instead reflecting increasing variability in chance imbalance as units are pruned and the sample size diminishes. …”
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