A codon usage-based approach for the stratification of Influenza A across recent spillovers by Tommaso Alfonsi, Matteo Chiara, Anna Bernasconi

“…The approach developed in this work provides a scalable framework for IAV genomic surveillance, offering insights into viral evolution and shared patterns of codon usage preferences. …”
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Text-mining metadata: What can titles tell us of the history of modern and contemporary art? by Mike Bowman

“…The use of topic modelling, parts-of-speech tagging and word counting allows me to identify large-scale and long-run patterns in the language used in the titles of those artworks. …”
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Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model. by Gahao Chen, Ziwei Yang

“…This framework enables probabilistic estimation of treatment resistance likelihood while providing transparent feature contribution analyses essential for developing patient-specific management protocols.…”
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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

“…Objective and rationale: Children's clinical pain phenotypes are complex, and there is a lack of objective biological diagnostic markers and cognitive patterns. Detecting physiological signals through wearable devices simplifies disease diagnosis and holds the potential for remote medical applications. …”
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Review of Modern Forest Fire Detection Techniques: Innovations in Image Processing and Deep Learning by Berk Özel, Muhammad Shahab Alam, Muhammad Umer Khan

“…Furthermore, we explore the utilization of deep learning and machine learning in training intelligent algorithms to recognize fire patterns and features. Through a comprehensive examination of current research and development, this review aims to provide insights into the potential and future directions of fire detection and extinguishing using image processing, computer vision, and deep learning.…”
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Analysis of Tim-3 as a therapeutic target in prostate cancer by Yongrui Piao, Xuanshun Jin

“…The relationships between Tim-3 expression and clinicopathological features were analyzed. Immunohistochemical expression of Tim-3 was examined in our large numbers of paraffin-fixed prostate tissues. …”
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Feedback control architecture and the bacterial chemotaxis network. by Abdullah Hamadeh, Mark A J Roberts, Elias August, Patrick E McSharry, Philip K Maini, Judith P Armitage, Antonis Papachristodoulou

“…Bacteria move towards favourable and away from toxic environments by changing their swimming pattern. This response is regulated by the chemotaxis signalling pathway, which has an important feature: it uses feedback to 'reset' (adapt) the bacterial sensing ability, which allows the bacteria to sense a range of background environmental changes. …”
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Discriminative graph regularized representation learning for recognition. by Jinshan Qi, Rui Xu

“…Specifically, DGRL first integrates dimension reduction into ridge regression rather than treated them as two irrelevant steps, which enables us to capture the underlying subspace structure and correlation patterns among classes. Additionally, a graph regularizer that fully utilizes the local class information is developed and introduced to the new framework so as to enhance the classification accuracy and prevent overfitting. …”
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Optimizing Public Spaces for Age-Friendly Living: Renovation Strategies for 1980s Residential Communities in Hangzhou, China by Min Gong, Ning Wang, Yubei Chu, Yiyao Wu, Jiadi Huang, Jing Wu

“…Semi-structured interviews with elderly residents identify key concerns and establish a preliminary evaluation framework, while a Likert-scale questionnaire quantifies the satisfaction with age-friendly features across four communities. The assessment reveals that key age-friendliness issues, including poor traffic safety, dispersed activity spaces, and insufficiently adapted facilities, are closely linked to the linear usage patterns within the spatial framework of the grid layouts. …”
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Hereditary colorectal cancer: genetics and screening diagnostics by O. I. Kit, D. I. Vodolazhsky, Yu. A. Gevorkyan, N. V. Soldatkina, F. N. Grechkin, M. A. Kozhushko, I. Yu. Yefimova

“…CRC is one of the most widespread oncologic diseases and takes the leading positions for morbidity and mortality in the pattern of neoplastic diseases in Russia. In 30% of cases disease development is associated to genetic predisposition, however only 5% of all CRC cases are linked to established hereditary syndromes, such as Lynch syndrome (hereditary non-polyposis colorectal cancer), family adenomatous polyposis, MUTYH-associated polyposis, juvenile polyposis, hereditary mixed polyposis syndrome, Peutz-Jeghers syndrome and serrated polyposis syndrome. …”
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Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI by Yanan Li, Jingfa Yao, Wenhui Yang, Zhao Wei, Peng Luan, Guifa Teng

“…This study introduces a non-destructive, quantitative method using low-field MRI to assess moisture mobility and content distribution in cherry tomatoes. This study developed an advanced 3D non-local mean denoising model to enhance tissue feature analysis and applied an optimized TransUNet model for structural segmentation, obtaining multi-echo data from six tissue types. …”
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Study of complexity factor and stability of dynamical systems in $$f(\mathcal {G})$$ f ( G ) gravity by M. Zeeshan Gul, W. Ahmad, M. M. M. Nasir, Faisal Javed, Orhan Donmez, Bander Almutairi

“…We select the identical complexity factor for the structure as used in the non-static scenario, while considering the analogous criterion for the most elementary pattern of development. This technique involves formulating structural scalars that illustrate the fundamental features of the system. …”
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Computational Analysis Method for Multi-subject Behavior in Public Spaces Based on Targeted Computer Vision Tracking by Chao YAN, Siyan LIU, Shanshu HE, Leiqing XU

“…Subsequently, computational analysis and visualization methods for revealing the interaction behaviors of different groups are explored, which involves a pedestrian identification threshold model based on human proportion characteristics that enables targeted identification and differentiation of children from adults, and a dedicated analysis module designed to visualize behavioral patterns of each identified crowd and thereby provide visual patterns for the spatial-temporal distributions of different crowds. …”
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Early signs of strong El Niño–Southern Oscillation episodes by Wenxiu Zhong, Arnold Sullivan, Gian Luca Eusebi Borzelli, Ziguang Li

“…Additionally, we find that the spatial standard deviations of the sea surface temperature anomaly in Niño-3 and Niño-4 region, rapidly decrease in the first half of ENSO developing year. This feature is fundamentally distinct from that in neutral years, suggesting that the cycle of ENSO persistence goes beyond the SPB and sea surface temperature anomalies in those two Niño regions are the most predictable.…”
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A cartographic generalization method for 3D visualization of trajectories in space–time cubes: case study of epidemic spread by Fei Yang, Jie Shen, Fengzhen Zhu, Junrui Zhang

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Decoration Samples of Mushaf Rosettes from the Xth-XIIth Centuries in the TSMK F. Edhem Karatay Catalog by Yusuf Bilen, Ayşegül Şenlik

“…The rosettes in Mushafs have been evaluated in terms of composition, color, motif, pattern construction and stylistic features. A detailed examination of the rosettes in question in terms of illumination will be valuable in terms of determining the historical development process of illumination art and its effects on the contemporary understanding of decoration.…”
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Neuropathic Cystinosis: A Rare Case Report by Ahmed Muthana, Rabab Farhan Thejeal, Ikhlas Ali Ahmed

“…The child had a few dysmorphic features such as frontal bossing and wrist widening. …”
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Organization of Medical Care to Children with Road Traffic Injury in the Rostov Region by I.I. Babich, T. V. Vygonskaya, F. G. Sharshov, Ye. A. Spiridonova, S. A. Rumyantsev, E. E. Rostorguyev

“…By keeping in mind the specific features of the emergency medical system existing in the region, the authors propose its further development, by organizing interregional centers on the basis of a number of central regional hospitals for the treatment of children with traumatic lesions (among other things, by allocating pediatric beds in the intensive care units). …”
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APPLICATION OF THE EVOLUTIONARY PARADIGM TO DESIGNING ARCHITEСTURE OF A NEURAL NETWORK FOR RECOGNIZING THE DISTORTED TEXT by Y. A. Bury, D. I. Samal

“…And if today it is impossible to determine the exact architecture of the links in biological neural systems, then at least one can try to reproduce the very process of their formation in order to obtain a more universal algorithm than those developed to the present moment.In opposite to them we form the final structure of the core of the classification system by evolutionary process, taking into account the knowledge about the features of the development and construction of the nervous system of vertebrates.Applying of the approach makes it possible to abstract from the limitations of existing neural network algorithms, caused by the scope of application of specific types of their structures.…”
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Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning by Arvind Prasad, Wael Mohammad Alenazy, Naved Ahmad, Gauhar Ali, Hanaa A. Abdallah, Sadique Ahmad

“…Additionally, we developed a hybrid deep learning model integrating RegNet and FBNet architectures to enhance feature extraction and classification performance. …”
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