Heat syndrome types prediction of traditional Chinese medicine in acute ischemic stroke through deep learning: a pilot study by Xiongwu Yu, Xiongwu Yu, Lingqian He, Qi Wang, Zhongyun Zhang, Zhongyun Zhang, Huaiqiu Zhu, Huaiqiu Zhu, Juexian Song

“…The model with the comprehensive feature dataset achieved an accuracy of 0.95, F1 score of 0.95, and AUC of 0.91 on the test set, exhibiting better performance overall compared to predictions based solely on TCM pattern characteristics or laboratory indicators. …”
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Deep learning driven interpretable and informed decision making model for brain tumour prediction using explainable AI by Khan Muhammad Adnan, Taher M. Ghazal, Muhammad Saleem, Muhammad Sajid Farooq, Chan Yeob Yeun, Munir Ahmad, Sang-Woong Lee

“…The advent of deep learning has made it a powerful tool for complex image analysis tasks, such as detecting brain Tumours, by learning advanced patterns from images. However, deep learning models are often considered “black box” systems, where the reasoning behind predictions remains unclear. …”
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Study of the Relationship between the Sonographic Appearance of the Ovaries in Polycystic Ovary Syndrome and Different PCO Phenotypes by Farideh Marmazi, Mojgan Barati, Kobra Shojaei, Elham Farhadi, Golnar Izadi

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Historical commentary in the Russian language lesson as a pedagogical genre by Konstantin A. Kalinin

“…Historical commentary on linguistic facts and patterns helps to understand the cause-and-effect relationships of those phenomena, the study of which is impossible without referring to the history of the development of the Russian language. …”
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Anomaly Detection and Business Process Orchestration for Low-Code Platform in Power System Based on Deep-Cross Model With Data Balancing by Jin Huang, Ming Sheng Xu, Chang Ming Zhu, Guo An Wang

“…Third, we implement a hierarchical feature interaction mechanism that enables both explicit and implicit learning of high-order patterns, resulting in a 35% improvement in anomaly pattern recognition over traditional deep learning approaches. …”
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Personality typology, emotional needs, and romantic relationship stability in Chinese college students: A cultural perspective on MBTI dynamics by Jiaxin Li, Gu Fang, Yiyang Li

“…Structural equation modeling further indicated that gender and personality interactions influence emotional stability, with distinct patterns observed among NT, SJ, and SP types. A U-shaped pattern of emotional stability across academic years was identified, with freshmen showing the highest levels, declining in juniors, and slightly recovering in seniors. …”
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Electric vehicle charging station demand prediction model deploying data slotting by A.V. Sreekumar, R.R. Lekshmi

“…One major challenge associated with development of machine learning models is the inherent uncertainty in electric vehicle charging behaviour that includes variations in charging patterns, user preferences, and vehicle types. …”
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Leveraging LSTM and ensemble classifiers for enhanced food waste classification by Khalaf Alsalem

“…The proposed feature extraction approach detects temporal patterns in feature data, improving the robustness of decisions and making this method suitable for waste classification applications. …”
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The Space Conceptual Models and Water Vapor Characteristics of Typical Rainstorms during Plum Rain Season by Ying Tian, Rong Yao, Enrong Zhao, Qian Yao, Xiaolong Pan

“…The daily precipitation of LLVSP cases has extremity feature. The occurrence and development of rainstorms are well coordinated with the systems on lower levels. …”
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Spatiotemporal Heterogeneity and Zoning Strategies of Multifunctional Trade-Offs and Synergies in Cultivated Land in the Hexi Corridor by Kaichun Zhou, Zixiang Sun, Tingting Ma, Yulin Li, Binggeng Xie

“…Through self-organizing feature map analysis, the cultivated land in the Hexi Corridor is divided into four functional areas: agricultural production-dominant areas, agricultural social security areas, ecological agriculture areas, and balanced development areas, and management objectives are proposed. …”
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Application of Deep Learning Algorithm for Web Shell Detection in Web Application Security System by Rezky Yuranda, Edi Surya Negara

“…Through preprocessing techniques such as opcode extraction and feature selection, useful pattern recognition for web shell detection is achieved. …”
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Real-time Diagnosis and Prediction of Grounding Insulation Fault inTrain Power Supply System by QIN Fangfang, ZHENG Caihui, LI Xueming, LI Peng

“…In order to solve the problem of fault location and real-time evaluation of fault development trend, it proposed a real-time diagnosis and prediction method based on signal feature pattern recognition. …”
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Fluid Equation-Based and Data-Driven Simulation of Special Effects Animation by Yujuan Deng

“…Finally, the 3D motion trajectory of the point feature object and the motion pattern at a certain moment are shown, and the method in this paper obtains more ideal results, which proves the effectiveness of the method.…”
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O perspectivă inedită asupra romanului latin by Carmen-Nicola Jumara

“…We realize that Petronius’s and Apuleius’s perspective represent an element of continuity in the development of the novel. The next feature of the novel under debate is the one of the intrigue. …”
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Prediction of crystalline structure evolution during solidification of aluminum at different cooling rates using a hybrid neural network model by Rafi B. Dastagir, Shorup Chanda, Farsia K. Chowdhury, Shahereen Chowdhury, K. Arafat Rahman

“…By combining the temporal pattern descriptors of LSTMs with the feature extraction potential of convolutional neural networks (CNN), the hybrid Conv1D-LSTM model achieves higher accuracy in predicting crystal structural evolution curves, in contrast to the performance of standalone LSTM and CNN models. …”
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Tipping the balance: robustness of tip cell selection, migration and fusion in angiogenesis. by Katie Bentley, Giovanni Mariggi, Holger Gerhardt, Holger Gerhardt, Paul A Bates

“…A novel filopodia-adhesion driven migration mechanism is presented and validated against in vivo data. Due to the unique feature of ongoing lateral inhibition, 'stabilised' tip/stalk cell patterns show sensitivity to the formation of new cell-cell junctions during fusion: we predict cell fates can reverse. …”
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Research and analysis of urban-rural residential carbon emissions in China by Ailin Liang, Zhao Tian, Chengzhi Xiang

“…The per capita residential carbon emissions of urban areas are relatively low, while the per capita residential carbon emissions of rural areas are relatively high, show a distribution pattern of rural>urban-rural fringe >urban. The results can help the Chinese government balance the needs of urban-rural development in different levels of cities, so as to formulate targeted carbon emission reduction policies and achieve low-carbon goals.…”
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Effectiveness of using a slider-crank mechanism for waffle background milling by I. N. Drozdov, A. Yu. Popov

“…The paper presents the design of an experimental cutting tool feed drive based on a slider-crank mechanism. A feature of the technology of milling a regular waffle background pattern is the need for regular repetition of cells, usually rectangular shape. …”
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A model for maxilloturbinate morphogenesis in seals. by Jonathan E Kings, Lars P Folkow, Øyvind Hammer, Signe Kjelstrup, Matthew J Mason, Fengzhu Xiong, Eirik G Flekkøy

“…The maxilloturbinates of Arctic seals develop into particularly elaborate labyrinthine patterns, which are well adapted to retain heat and moisture from exhaled gas. …”
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Ultrafast Laser High-Aspect-Ratio Extreme Nanostructuring of Glass beyond λ/100 by Guodong Zhang, Anton Rudenko, Razvan Stoian, Guanghua Cheng

“…The ultimate feature size is key in ultrafast laser material processing. …”
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