3D Pulse Image Detection and Pulse Pattern Recognition Based on Subtle Motion Magnification Technology by Chongyang YAO, Yongxin CHOU, Zhiwei LIANG, Haiping YANG, Jicheng LIU, Dongmei LIN

“…To address the problem of large reconstruction errors in 3D pulse signals caused by excessively small out-of-plane displacement of the contact membrane in the existing traditional Chinese medicine fingertip tactile binocular vision detection technology, this study proposes a 3D pulse image detection method based on subtle motion magnification technology and explores its application in pulse pattern recognition. Firstly, a 3D pulse image detection system based on binocular vision to obtain pulse image signals is developed as experimental data. …”
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Predicting drug-target interactions using machine learning with improved data balancing and feature engineering by Md. Alamin Talukder, Mohsin Kazi, Ammar Alazab

“…The framework leverages comprehensive feature engineering, utilizing MACCS keys to extract structural drug features and amino acid/dipeptide compositions to represent target biomolecular properties. …”
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Unlocking telecommuting patterns before, during, and after the COVID-19 pandemic: An explainable AI-driven study by Adedolapo Ogungbire, Suman Kumar Mitra

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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 structure of the local detector of the reprint model of the object in the image by A. A. Kulikov

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Deep Learning Model for Feature Extraction and Anomaly Recognition in High-Dimensional Energy Metering Data by Huakun Que, Zetao Jiang, Zhifeng Zhou, Yongsheng He, Xin Liu

“…Methods: High-dimensional metering data from a city energy provider is processed using a Convolutional Autoencoder (CAE) to extract deep features and reduce dimensionality. These features are then fed into a Cascaded Long Short-Term Memory (CLSTM) network, which identifies anomalous patterns in the data. …”
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Visualizing Relaxation in Wearables: Multi-Domain Feature Fusion of HRV Using Fuzzy Recurrence Plots by Puneet Arya, Mandeep Singh, Mandeep Singh

“…Among six evaluated classifiers, support vector machine (SVM) achieved the highest performance, with 96.6% accuracy and 100% specificity using only three selected features. Our approach offers both human-interpretable visual feedback through FRP and accurate automated detection, making it highly promising for objectively monitoring real-time stress and developing biofeedback systems in wearable devices.…”
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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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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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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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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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Identification of pharmacophore synergism for optimization of estrogen receptor beta binders for hormone dependent forms of breast cancer by Rania A. Hussien, Fatmah Ali S. Alasmary, Vijay H. Masand, Abdul Samad, Rahul D. Jawarkar, Gaurav S. Masand, Sami A. Al-Hussain, Magdi E.A. Zaki

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Antitumor effect of recombinant interferon-gamma in an experimental model of Ehrlich’s bilateral solid carcinoma by V. G. Isaeva, L. Y. Grivtsova, L. P. Zhovtun, S. M. Samborsky, N. A. Falaleeva

“…Thus, a distinct, statistically significant antitumor effect of IFNγ was established in relation to a tumor with a multicentric growth pattern.…”
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Sleep problems and sensory features in children with low-average cognitive abilities and autism spectrum disorder by Sumie Iwasaki, Yuko Yoshimura, Chiaki Hasegawa, Sanae Tanaka, Takashi Ikeda, Ken Yaoi, Tetsu Hirosawa, Mitsuru Kikuchi

“…Abstract Children with Autism Spectrum Disorder (ASD) often have more sleep disturbances than typically developing children. These sleep disturbances have been suggested to be associated with atypical sensory features in children with ASD. …”
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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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Scattering of Elastic Waves by an Inhomogeneous Boundary in the Acoustic Testing of Permanent Joints by A. R. Baev, N. V. Levkovich, A. L. Mayorov, M. V. Asadchaya

“…It has a significant effect on the field pattern and its angular amplitude extrema — minima and maxima of different orders when the defect boundary is moved relative to the center of the acoustic beam spot.The features of the evolution of the structure of the scattering field are established, which make it possible to identify optimal conditions for the detection of weakly reflective defects in sound. …”
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Genome-Wide Analysis of GATA Transcription Factor Family in Quinoa (Chenopodium quinoa): Identification, Characterization, and Expression Profiles by Thi Man Le, Hong Viet La, Ha Duc Chu, Chau Thuy Pham, Quyen Thi Ha, Thi Ngoc Quynh Le, Thi Thanh Huyen Tran, Van Tien Tran, Huy Gioi Dong, Minh Hong Pham, Vinh Thanh Tran, Thi Bich Ngoc Chu, Phi Bang Cao

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Detecting Malware C&C Communication Traffic Using Artificial Intelligence Techniques by Mohamed Ali Kazi

“…These feature selection algorithms are also compared with a manual feature selection approach to determine whether a manual, automated, or hybrid feature selection approach would be more suitable for this type of problem.…”
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Modeling inter-city population flows: a Deep Radiation model with multisource geographic features by Jingjing Liu, Lei Xu, Le Ma, Chao Wang, Nengcheng Chen

“…By replacing linear equations with a feedforward neural network, our model predicts migration flows based on an expanded set of features across four dimensions: economic development, urbanization, infrastructure, and environmental factors. …”
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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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