Subdivision of river channel sand micro-scale facies with feature attention spatio-temporal network by Ruipu Zhao, Lili Zeng, Chendong Fu, Xiaoqing Zhao

“…Meanwhile, the spatio-temporal feature extraction module fully leverages spatial and sequential information from the logging data, enabling precise identification of river channel sand sedimentary micro-scale facies.ResultsThis method, applied to a real-world oilfield for residual oil development, subdivides deltaic river channel sand sedimentary micro-scale facies into four distinct types. …”
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The resurgence of monkeypox: Epidemiology, clinical features, and public health implications in the post-smallpox eradication era by Parminder Singh, Sathvik Belagodu Sridhar, Javedh Shareef, Sirajunisa Talath, Priyanka Mohapatra, Mahalaqua Nazli Khatib, Suhas Ballal, Mandeep Kaur, Deepak Nathiya, Shilpa Sharma, G.V. Siva Prasad, Aashna Sinha, Amit Varma, Ganesh Bushi, Abhay M. Gaidhane, Prakasini Satapathy, Muhammed Shabil, Renu Sah, Jaffar A. Al-Tawfiq, Ranjit Sah, Alfonso J. Rodriguez-Morales

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Using Genetic Algorithm in Optimizing Decision Trees for Credit Scoring of Banks Customers by Mahmood i Alborz, Mohammad Ebrahim Mohammad Pourzarandi, mohammad khanbabaei

“…Genetic algorithm can help in credit scoring of customers by choosing appropriate features and building optimum decision trees. Development process in pattern recognition and CRISP process are used in credit scoring of customers in construction of this model. …”
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Changes in objective characteristics in brain electrical activity in newborns as a function of birth weight by Anastasiya E. Runnova, Yuliya A. Zhuravleva, Evgeniy N. Egorov, Evgeniya E. Drozhdeva

“…Statistical estimations of the number and duration of oscillatory patterns developing in different EEG frequency ranges were performed. …”
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Features of heat and mechanical characteristics of pulsating flows in gas-air paths of piston engines with turbocharging by L. V. Plotnikov, Y. M. Brodov, B. P. Zhilkin, N. I. Grigoriev

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Deep learning based local feature classification to automatically identify single molecule fluorescence events by Shuqi Zhou, Yu Miao, Haoren Qiu, Yuan Yao, Wenjuan Wang, Chunlai Chen

“…In this study, we introduce DEBRIS (Deep lEarning Based fRagmentatIon approach for Single-molecule fluorescence event identification), a deep-learning model focusing on classifying local features and capable of automatically identifying steady fluorescence signals and dynamically emerging signals of different patterns. …”
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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…This synergy enables effective learning of local features and long-term temporal patterns, resulting in precise predictions. …”
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Early Detection of ITSC Faults in PMSMs Using Transformer Model and Transient Time-Frequency Features by Ádám Zsuga, Adrienn Dineva

“…The Transformer model, leveraging self-attention mechanisms, captures both local transient patterns and long-range dependencies within the time-frequency feature space. …”
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Clustering analysis of vehicle traveling and parking behavior based on license plate recognition data: Suzhou case by Kexin Wang, Xiang Wang, Xiangxi Liu, Yutong Wang

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Conserved functional features of natural killer cell subsets in chicken, human, and murine immune systems by Seung Je Woo, Jaeryeong Kim, Hong Jo Lee, Kyung Youn Lee, Kyung Je Park, Jin-Kyoo Kim, Jin Lee Kim, Byung Chul Park, Minseok Seo, Jae Yong Han

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EEG-based schizophrenia diagnosis using deep learning with multi-scale and adaptive feature selection by Alanoud Al Mazroa, Majdy M. Eltahir, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K, Jaehyuk Cho

“…There is a pressing need to develop an objective and effective diagnostic method for this specific type of schizophrenia. …”
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Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning by Jungpil Shin, Abu Saleh Musa Miah, Koki Hirooka, Md. Al Mehedi Hasan, Md. Maniruzzaman

“…While this method can capture broad patterns, it has several limitations, including a lack of focus on dynamic change, oversimplified feature representation, a lack of directional information, and missing micro-movements or subtle variations. …”
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Dissecting the genetic features and evolution of Staphylococcus aureus sequence type 88: a global perspective by Ye Jin, Chenyang Gao, Gaoqin Teng, Zhenchao Zhou, Wangxiao Zhou, Man Huang

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Microbiome role in pancreatic diseases development by Yu. V. Evsyutina, V. T. Ivashkin

“…Intestinal barrier dysfunction, bacterial overgrowth syndrome and endotoxinemia are features of acute pancreatitis. Image-recognition systems (toll-like and NOD-like receptors) and microorganism-associated molecular patterns play important role in these processes. …”
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Specific features of bronchial inflammation in asthma patients with airway hyper-responsiveness to cold and osmotic stimuli by Aleksey B. Pirogov, Anna G. Prikhodko, Sergey V. Zinov’ev, Eugen A. Borodin, Elena V. Ushakova, Galina A. Makarova, Juliy M. Perelman

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Optimized driver fatigue detection method using multimodal neural networks by Shengli Cao, Peihua Feng, Wei Kang, Zeyi Chen, Bo Wang

“…Two advanced neural network models were developed and evaluated: a multimodal feature combination model and a multimodal feature coupled model. …”
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Dynamic electro‐clinical features in Guanidinoacetate N‐methyltransferase deficiency: A familial case series by Mariapaola Schifino, Emanuele Bartolini, Stefano Pagano, Camilla Meossi, Rosa Pasquariello, Roberta Battini

“…The youngest, diagnosed and treated earlier with supplementation, did not develop epilepsy. More research is needed to understand electro‐clinical features of this condition and the long‐term effects of early or late dietary treatment.…”
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Evolutionary dynamics of Orchid DL paralogs: gene duplication, functional divergence, and expression patterns across Orchid subfamilies by Francesca Lucibelli, Angela Carfora, Annette Becker, Katrin Ehlers, Serena Aceto

“…The study of transcription factor genes, such as the YABBY gene DROOPING LEAF, is crucial for understanding the molecular mechanisms underlying orchid development and evolution. This study aims to elucidate the evolutionary dynamics and expression patterns of DL genes across orchid subfamilies. …”
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Study on the gas outflow pattern and outflow prediction model of the return mining face under complex geological conditions by Yi Sun, Lulin Zheng, Hong Lan, Zhaoxing Yu, Jin Wang, Bo Li, Feng Yang, Fangbo Wen

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Gene expression noise in spatial patterning: hunchback promoter structure affects noise amplitude and distribution in Drosophila segmentation. by David M Holloway, Francisco J P Lopes, Luciano da Fontoura Costa, Bruno A N Travençolo, Nina Golyandina, Konstantin Usevich, Alexander V Spirov

“…Insofar as many of these are common features of genes (e.g. multiple regulatory sites, cooperativity, self-feedback), the current results contribute to the general understanding of the reproducibility and determinacy of spatial patterning in early development.…”
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