Genome-wide analysis of CHYR gene family and BnA03.CHYR.1 functional verification under salt stress in Brassica napus L. by Yanli Guo, Qingxiao Ren, Manman Song, Xiangxiang Zhang, Heping Wan, Fei Liu

“…Each BnCHYR group shared similar patterns in the distribution of conserved domains. …”
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A Multimodal Pain Sentiment Analysis System Using Ensembled Deep Learning Approaches for IoT-Enabled Healthcare Framework by Anay Ghosh, Saiyed Umer, Bibhas Chandra Dhara, G. G. Md. Nawaz Ali

“…The first phase focuses on detecting the facial region from a video sequence, a crucial step for extracting facial patterns indicative of pain. In the second phase, the system extracts discriminant and divergent features from the facial region using deep learning techniques, utilizing some convolutional neural network (CNN) architectures, which are further refined through transfer learning and fine-tuning of parameters, alongside fusion techniques aimed at optimizing the model’s performance. …”
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A case study of extreme rainstorm in northern Xinjiang under the influence of large-scale circulation and topography by Jiangang Li, Jiangang Li, Jiangang Li, Jiangang Li, Boyuan Li, Cailian Jiang, Yufei Jiang, Yufei Jiang, Yufei Jiang, Yufei Jiang, Jinru Zhang, Jinru Zhang, Jinru Zhang, Jinru Zhang, Lianmei Yang, Lianmei Yang, Lianmei Yang, Lianmei Yang, Na Li

“…This triggered the rapid development and maintenance of Meso-β-scale convective cloud clusters, resulting in localized short-duration precipitation. …”
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The Microchimerism Literature Atlas by Michael Christian Gruber, Daniel Kummer, Katja Sallinger, Henderson James Cleaves, Arsev Umur Aydinoğlu, Thomas Kroneis

“…The MCLA is being developed as an essential resource for the MC research community while its framework is easily adaptable for custom literature datasets, enabling its use in other research fields.…”
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Classification of Beef, Goat, and Pork using GLCM Texture-Based Backpropagation Neural Network by Irma Saraswati, Rian Fahrizal, Anugrah Nuur Fauzan, Muchtar Ali Setyo Yudono

“…This research makes a significant contribution to developing a meat identification system that safeguards consumers and promotes awareness of food safety issues. …”
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The Architectural Production of India’s Everyday Modernism: Middle-class Housing in Pune, (1960-1980) by Sarah Melsens, Inge Bertels, Amit Srivastava

“…The large-scale appropriation of modernist architectural features in everyday housing projects in postcolonial India is remarkable. …”
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A Comprehensive Analysis of Imbalance Signal Prediction in the Japanese Electricity Market Using Machine Learning Techniques by Kaiyao Jiang, Yuji Yamada

“…By incorporating a diverse range of features—including lagged imbalance data, weather forecast errors specific to Japan, and temporal patterns—we demonstrate that the prediction accuracy of imbalance signals is significantly improved compared to a baseline reflecting random forecasts based on class distribution observed during the initial training period. …”
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The use of artificial intelligence to analyze and optimize financial flows by М. А. Miakisheva

“…The article systematizes modern ideas about the features of using artificial intelligence tools in order to analyze and optimize financial flows. …”
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Human-Aware Control for Physically Interacting Robots by Reza Sharif Razavian

“…The holistic model is shown to replicate salient features of human movements. The human-aware controller’s ability to predict and minimize the user’s neuromuscular effort in a collaborative task is also demonstrated in simulations.…”
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Visual Multiple-object Tracking Algorithm Based on Motion Consistency by YANG Hailang, LYU Yu, JIANG Guotao, PI Zhichao, LUO Shuo, CHEN Meilin

“…The algorithm aims to improve the stability in tracking multiple objects with similar appearance features and motion patterns, while maintaining stability in normal cases. …”
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Temporal Fusion Transformer-Based Trading Strategy for Multi-Crypto Assets Using On-Chain and Technical Indicators by Ming Che Lee

“…By combining multi-source features—such as Spent Output Profit Ratio (SOPR), Total Value Locked (TVL), active addresses (AA), exchange net flow (ENF), Realized Cap HODL Waves, and the Crypto Fear and Greed Index—with classical signals like Relative Strength Index (RSI) and moving average convergence divergence (MACD), the model captures behavioral patterns, investor sentiment, and price dynamics in a unified structure. …”
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Research Progress on Information Model of Urban Green Space by Wei ZHANG, Yahan YAN

“…To meet the practical needs of urban green space planning and management, this research conducts digital simulations of the geometric forms and attribute information of green space plants, and proposes directions for further improvement of green space information models, including the construction of modeling standards, the development of sharing platforms, and the research on generative algorithms.ResultsThe structures and characteristics of green space plants differ from those of other urban components, and their digital representation methods need to be explored based on the spatial morphological features of the vegetation in green spaces. …”
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Multiscale Contextual Mamba: Advancing Psychiatric Disorder Detection across Multisite Functional Magnetic Resonance Imaging Datasets via State Space Modeling by Shusheng Li, Yang Bo, Yuchu Chen, Jianfeng Cao, Bo Bi, Ting Ma, Chenfei Ye

“…Leveraging functional neuroimaging data offers an opportunity to develop more robust, data-driven approach for psychiatric disorder detection. …”
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Neuroendocrine tumors of the digestive system: pathologic and molecular characteristics by V. V. Delektorskaya

“…Morphology alone and immunophenotypic features have no specific predictive implications. …”
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Research on Oil and Gas-Bearing Zone Prediction and Identification Based on the SVD–K-Means Algorithm—A Case Study of the WZ6-1 Oil-Bearing Structure in the Beibu Gulf Basin, South... by Zhilong Chen, Renyi Wang, Biao Xu, Jianghang Zhu

“…The WZ6-1 oil-bearing structure in the Beibu Gulf Basin of the South China Sea has well-developed faults with significant variations in fault sealing capacity, resulting in a complex and highly variable distribution of oil, gas, and water, and limited understanding of hydrocarbon accumulation patterns. …”
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Effects of Reduced Frequency on the Aerodynamic Characteristics of a Pitching Airfoil at Moderate Reynolds Numbers by Teng Zhou, Huijing Cao, Ben Zhao

“…As the pitching frequency increases, the maximum lift coefficient achieved in one pitching cycle decreases, and the direction of the lift hysteresis loop changes as the pitching frequency exceeds a certain value, leading to a change in the lift of the sign at the zero-incidence moment, which is a result of the instantaneous flow patterns on the airfoil surface. As the pitching frequency increases, flow unsteadiness develops less in one pitching cycle, and the time duration in which the turbulence boundary layer can be detected in one pitching cycle shrinks. …”
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Transformation of a Literary Character’s Identity in the Artistic Mirror of Buryat Novels: from Soviet to Рost-Soviet by Jing Ruge, Irina S. Boldonova

“…In this article, the authors make an attempt based on an analysis from the point of view of neo-historicism to look again at the history of the development of Buryat novels, to analyze the features of constructing the identity of the main characters in works written by famous Buryat writers at different historical stages. …”
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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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Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

“…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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Various Forms of Tuberculosis in Patients with Inflammatory Bowel Diseases Treated with Biological Agents by Adam Krusiński, Anna Grzywa-Celińska, Katarzyna Szewczyk, Luiza Grzycka-Kowalczyk, Justyna Emeryk-Maksymiuk, Janusz Milanowski

“…It is important to reiterate that every patient qualifying for a biologic agent should undergo testing to accurately identify latent tuberculosis, as well as precise monitoring for the possible development of one of the various forms or patterns of tuberculosis during treatment.…”
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