Distributed delays in a hybrid model of tumor-Immune system interplay by Giulio Caravagna, Alex Graudenzi, Alberto d’Onofrio

“…A tumor is kinetically characterized by the presence of multiple spatio-temporal scales in which its cells interplay with, for instance, endothelial cells or Immune system effectors, exchanging various chemical signals. By its nature, tumor growth is an ideal object of hybrid modeling where discrete stochastic processes model low-numbers entities, and mean-field equations model abundant chemical signals. …”
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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

“…Despite their abundance, challenges in recovering the full genetic diversity of natural populations have hindered our understanding of the eco-evolutionary mechanisms driving intra-species variation. …”
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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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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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Improvement of reading platforms assisted by the spring framework: A recommendation technique integrating the KGMRA algorithm and BERT model by Yawen Su

“…The KGMRA algorithm leverages knowledge graphs to extract rich associative information and employs multi-relational networks to capture the semantic relationships between articles effectively. …”
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Highly Sensitive Immunosensing of Carcinoembryonic Antigen Based on Gold Nanoparticles Dotted PB@PANI Core-Shell Nanocubes as a Signal Probe by Dexiang Feng, Lingzhi Chen, Ke Zhang, Shuangshuang Zhu, Meichen Ying, Peng Jiang, Menglan Fu, Yan Wei, Lihua Li

“…Importantly, to further enhance the electrical conductivity and biocompatibility of PB@PANI and to further enhance the electrochemical signal and capture a large amount of Ab2, Au NPs were doped on the surface of PB@PANI to form Au NPs/PB@PANI nanocomposites. …”
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Preseason Workload in Collegiate Baseball Pitchers by Bennett Tabaracci, Shraddha Sudhir, Matthew Gauthier, Lindsay Hannigan

“… # Study Design Descriptive Epidemiology Study # Methods Nine baseball pitchers wore an inertial measurement unit on the forearm during all preseason training. Movements were captured at 100Hz and classified as a throw when the forearm velocity was greater than 800°/second. …”
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An Inverted Residual Cross Head Knowledge Distillation Network for Remote Sensing Scene Image Classification by Cuiping Shi, Mengxiang Ding, Liguo Wang

“…First, an inverted residual attention module is designed to extract and leverage both local and global information effectively, enhancing the model's ability to capture complex details while retaining contextual information. …”
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Influence of Bidirectional Impact Loading on Anomalously Low-Friction Effect in Block Rock Media by Liping Li, Weijun Li, Jupeng Tang, Jiaqing Lv

“…Finally, this study denotes that it is great significance to investigate the bidirectional impact loading in order to capture the mechanism of anomalously low-friction effect.…”
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Neural Network for Enhancing Robot-Assisted Rehabilitation: A Systematic Review by Nafizul Alam, Sk Hasan, Gazi Abdullah Mashud, Subodh Bhujel

“…CNNs improve motion intention estimation and control accuracy, while LSTM networks capture temporal muscle activity patterns for real-time rehabilitation. …”
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Socio-Economic dynamics of octopus fisheries for the livelihood sustainability of small-scale fishers in East Java, Indonesia by Indrabudi Terry, Triyanti Riesti, Safitri Widya, Candra Wirawan Arief Mochamad

“…This study explores the socio-economic complexities of octopus capture fishing and its implications for livelihood sustainability. …”
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Online profiling of volunteers in public health emergencies: insights from COVID-19 in China by Hongzhou Shen, Qirui Chen, Changcheng Li

“…Conclusions The proposed online profiling model objectively captures the characteristics of volunteers during public health emergencies. …”
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Mapping Temperature Zone of Ethiopia for Binder Performance Grading System by Mahlet G. Mihretu, Habtamu M. Zelelew

“…Additionally, the empirical parameters derived from this test do not fully capture the stress–strain relationships of pavement performance. …”
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