Precursor of Okhotsk blocking high in the cold vortex induced rainfall event over North China: a case study in July 2017 by Zhiqi Yan, Wanyi Sun, Congwen Zhu

“…Our results show the CV is originated from 90º to 100ºE, caused by the upstream positive potential vorticity (PV) advection at 200 hPa. The WNPSH, featured by 30–90 day intraseasonal oscillation (ISO), transports moisture to North China, while OKBH characterized by 10–30 day ISO further transports moisture northward and establishes a downstream blocking pattern. …”
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Relationships of a new fossorial Microcambevinae catfish species from southern Brazil supporting multiple dorsal-fin losses in Listrura (Siluriformes, Trichomycteridae) by Wilson J. E. M. Costa, Caio R. M. Feltrin, José L. O. Mattos, Paulo J. Vilardo, Axel M. Katz

“…Extreme reduction or loss of fins is a common evolutionary feature in fossorial and semifossorial trichomycterids. …”
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SLAMF receptors: key regulators of tumor progression and emerging targets for cancer immunotherapy by Jia Li, Tao Fan, Di Wang, Chu Xiao, Ziqin Deng, Wenpeng Cai, Yu Ji, Chunxiang Li, Jie He

“…Abstract The signaling lymphocytic activation molecule family (SLAMF) consists of nine distinct cell surface receptors predominantly expressed on immune cells, each characterized by unique structural features, expression patterns, downstream signaling pathways, and biological functions. …”
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A study on flare minimisation in EUV lithography by post‐layout re‐allocation of wire segments by Sudipta Paul, Pritha Banerjee, Susmita Sur‐Kolay

“…Abstract The feature size in Integrated Circuits (ICs) has been scaling down aggressively, thereby posing more challenges in their manufacturability. …”
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A Deep Learning based Optimization Model for Based Computer Interface of Wheelchair Directional Control by Zaid Raad Saber Zubair

“… An efficient recognition model is highly recommended while trying to analyze brain signal pattern for Motor Imagery (MI) signal. Therefore, this study aims to develop an optimized model based on a deep learning approach using Multi-Layer Perceptron (MLP) in order to help a large community of disability people by allowing them to control the wheelchair using their MI Brain signal. …”
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The contrasted impacts of grasshoppers on soil microbial activities in function of primary production and herbivore diet by Ibanez, Sébastien, Foulquier, Arnaud, Brun, Charles, Colace, Marie-Pascale, Piton, Gabin, Bernard, Lionel, Gallet, Christiane, Clément, Jean-Christophe

“…Herbivory can have contrasted impacts on soil microbes and nutrient cycling, which has stimulated the development of conceptual frameworks exploring the links between below- and aboveground processes. …”
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The ZTF Source Classification Project. III. A Catalog of Variable Sources by Brian F. Healy, Michael W. Coughlin, Ashish A. Mahabal, Theophile Jegou du Laz, Andrew Drake, Matthew J. Graham, Lynne A. Hillenbrand, Jan van Roestel, Paula Szkody, LeighAnna Zielske, Mohammed Guiga, Muhammad Yusuf Hassan, Jill L. Hughes, Guy Nir, Saagar Parikh, Sungmin Park, Palak Purohit, Umaa Rebbapragada, Draco Reed, Daniel Warshofsky, Avery Wold, Joshua S. Bloom, Frank J. Masci, Reed Riddle, Roger Smith

“…We also identify the most important features for XGB classification and compare the performance of the two ML algorithms, finding a pattern of higher precision among XGB classifiers. …”
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Proliferative Verrucous Leukoplakia: A Diagnostic Challenge in a Clinical and Histopathological Context—With Reflections on the Health Reality in Brazil by Michele Di Benedetto, Gabriela de Figueiredo Meira, Milena Martins da Rocha, Mariel Ruivo Biancardi, Jéssica Barroso Barbosa, Jeconias Câmara, Gerson de Oliveira Paiva Neto, Roberto Luiz de Menezes Martinho, Cássia Maria Fischer Rubira, Silvia Helena de Carvalho Sales Peres

“…However, due to the diverse histological features observed in PVL, identifying clinical criteria and histological patterns that can be applied by unfamiliar professionals is challenging. …”
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Dynamics of changes in population immunity to the SARS-CоV-2 virus in residents the Irkutsk region in the context of the COVID-19 pandemic by S. V. Balakhonov, V. I. Dubrovina, A. B. Pyatidesyatnikova, D. D. Briukhova, N. O. Kiseleva, K. M. Korytov, V. V. Voitkova, A. N. Perezhogin, M. V. Chesnokova, T. A. Gavrilova, A. A. Seledtcov

“…A comprehensive study of the patterns of development and manifestations of the epidemic process of the new coronavirus infection COVID-19 is an urgent line of research. …”
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THE ESSENCE OF AN IMAGE IN ENGLISH-AMERICAN IMAGISM: SINGULAR VERSUS UNIVERSAL by Yevheniya S. Chernokova.

“…Hulme) the images still preserve the inner affinity with the signified objects (concepts) as seen in Romantic and Symbolic image “patterns”. And throughout Imagism development, this inner affinity is being weakened until a distant outer resemblance is left. …”
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Research Status and Direction of Chronic Obstructive Pulmonary Disease Complicated with Coronary Heart Disease: A Bibliometric Analysis from 2005 to 2024 by Bian H, Zhu S, Xing W, Qi L, Xue J, Peng X, Jin Z, Zhao H

“…Through keyword clustering analysis, we categorized all keywords into three distinct groups: management strategies for COPD and CHD; diseases associated with both conditions; and epidemiological characteristics concerning their burden—current hotspots include multimorbidity factors such as hypertension and obesity alongside outcomes like diagnosis during COVID-19 pandemic implications within societal contexts are highlighted here too.Conclusion: Presently focused research on COPD coupled with CHD primarily revolves around five key areas: pathogenesis exploration, early diagnostic techniques, COVID-19 infection, dynamics intervention, methodologies, and treatment protocol development efforts. To improve the early detection rate of COPD complicated with CHD, the main development direction in the future is to extract computed tomography (CT) features using imaging omics and establish an early prediction model. …”
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A Kansei-Oriented Morphological Design Method for Industrial Cleaning Robots Integrating Extenics-Based Semantic Quantification and Eye-Tracking Analysis by Qingchen Li, Yiqian Zhao, Yajun Li, Tianyu Wu

“…First, we used web crawlers to harvest user-generated descriptors for industrial floor-cleaning robots and applied Extenics theory to quantify and filter key perceptual imagery features. Second, eye-tracking experiments captured users’ visual-attention patterns during robot observation, allowing us to identify pivotal design elements and assemble a sample repository. …”
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Investigation of brain response to acquisition and learning the second languages based on EEG signals and machine learning techniques by Talal A. Aldhaheri, Sonali B. Kulkarni, Pratibha R. Bhise, Baraq Ghaleb

“…By comparing brain activity patterns between Arabic and Hindi, this study contributes to neurolinguistics and offers data that can be used to develop more effective language learning strategies and interventions.…”
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An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…Artificial intelligence has the ability to learn from any pattern between a set of input and output data and involves various techniques including neural networks. …”
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Prospects for the discovery of rich uranium ores in the Kryvorizko-Kremenchutska mineragenic zone of the Ukrainian Shield by G. A. Kalashnyk

“…The main regularities of the formation and location of uranium ore objects of the hydrothermal vein-stock type in the Kryvorizko-Kremenchutska mineragenic zone have been study, taking into account the features of the deep structure of the Ukrainian Shield’s lithosphere. …”
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Integration of geospatial techniques and machine learning in land parcel prediction by Nekkanti Haripavan, Subhashish Dey, Chimakurthi Harika Mani Chandana

“…By harnessing the temporal and spectral information captured by Earth observation satellites, we aim to identify patterns and trends in land parcel changes. These insights are used to train and fine-tune our machine learning models, which will subsequently forecast future land parcel developments. …”
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Heart Rate Variability-Based Stress Detection and Fall Risk Monitoring During Daily Activities: A Machine Learning Approach by Ines Belhaj Messaoud, Ornwipa Thamsuwan

“…K-means clustering identified three distinct physiological states based on HRV features, such as the high-frequency band power and the root mean square of successive differences between normal heartbeats, suggesting patterns that may reflect stress levels. …”
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Application of an improved LSTM model based on FECA and CEEMDAN VMD decomposition in water quality prediction by Jie Long, Chong Lu, Yiming Lei, Zhong Yuan Chen, Yihan Wang

“…Then, a VMD-enhanced LSTM architecture embedded with FECA was developed to adaptively prioritize frequency-specific features, thereby improving the model’s ability to handle nonlinear patterns. …”
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A Novel Metaheuristic-Based Methodology for Attack Detection in Wireless Communication Networks by Walaa N. Ismail

“…By focusing on the most relevant features, this attention mechanism makes the model suitable for complex and high-dimensional traffic patterns typical of 5G communication. …”
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P4HA2 promotes proliferation, invasion, and metastasis through regulation of the PI3K/AKT signaling pathway in oral squamous cell carcinoma by Zengpeng Chi, Qimin Wang, Xin Wang, Dagang Li, Lei Tong, Yu Shi, Fang Yang, Qingyuan Guo, Jiawei Zheng, Zhenggang Chen

“…Various databases, including TCGA, TIMER, UALCAN, GEPIA, and K-M plotter, along with paraffin-embedded samples, were used to ascertain P4HA2 expression in cancer and its correlation with clinicopathological features. P4HA2 knockdown and overexpression cell models were developed to assess its oncogenic roles and mechanisms. …”
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