Thrombocytopenia in critically ill trauma patients is associated with the pattern and duration of postinjury organ dysfunction by Andrea Rossetto, Simon Kerner, Ella Ykema, Harriet E. Allan, Paul C. Armstrong, Elaine Cole, Paul Vulliamy

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Patch-Based Texture Feature Extraction Towards Improved Clinical Task Performance by Tao Lian, Chunyan Deng, Qianjin Feng

“…Texture features can capture microstructural patterns and tissue heterogeneity, playing a pivotal role in medical image analysis. …”
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PFVnet, a feature enhancement network for low recognition coal and rock images by Cai Han, Zhenwen Liu, Shenglei Zhao, Yubo Li, Yanwei Duan, Xinzhou Yang, Chuanbo Hao

“…We characterized the grayscale and texture feature patterns of coal-rock media under varying degrees of interference and established a comprehensive multi-element image training sample library. …”
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Machine Learning-Driven Acoustic Feature Classification and Pronunciation Assessment for Mandarin Learners by Gulnur Arkin, Tangnur Abdukelim, Hankiz Yilahun, Askar Hamdulla

“…Based on acoustic feature analysis, this study systematically examines the differences in vowel pronunciation characteristics among Mandarin learners at various proficiency levels. …”
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Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer by Qiying Song, Shihe Liu, Di Wu, Aizhen Cai

“…LASSO cox regression method was used to screen feature genes and develop the PCD score (PCDS). Immune cell infiltration, immune checkpoint expression, Tumor Immune Dysfunction and Exclusion (TIDE) algorithm and drug sensitivity analysis were used to explore immunotherapy response. …”
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Advancing sustainable agricultural: A novel framework for mapping annual 30-m resolution national-level irrigated croplands by Enyu Du, Fang Chen, Huicong Jia, Jinwei Dong, Lei Wang, Yu Chen

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A novel Swin transformer based framework for speech recognition for dysarthria by Rabbia Mahum, Ismaila Ganiyu, Lotfi Hidri, Ahmed M. El-Sherbeeny, Haseeb Hassan

“…Firstly, the speech is converted into mel-spectrograms to reflect the maximum patterns of voice signals. Despite the ST’s initial aim to effectively extract the local and global visual features, it still prioritizes global features. …”
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Design of Matching and Decoupling Networks With Radiation Pattern Control for Two-Element Antenna Arrays by Son Vu, Hung Luyen

“…We present an analytical approach for designing a matching and decoupling network (MDN) with radiation pattern control feature for two-element arrays. The antenna radiation pattern can be synthesized by formulating the S-matrix of the MDN to provide the desired excitation signals to the two antenna elements. …”
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Deep Learning with Dual-Channel Feature Fusion for Epileptic EEG Signal Classification by Bingbing Yu, Mingliang Zuo, Li Sui

“…However, the manual classification of these patterns is labor-intensive, time-consuming, and depends heavily on specialized expertise. …”
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Reconstructing coastal ponds functional classification: Integration of multi-feature remote sensing by Yijun Tong, Chen Lin, Ke Song, Tingchen Jiang, Ronghua Ma, Wenzhuo Cui, Danhua Ma, Jianchun Chen, Zhenxing Wang, Xiaofen Bai

“…Above all, the PWS classification system and data products developed in this study reveal the diverse relationships among “functional types-remote sensing features-geographical patterns” regarding PWS, implicating a crucial foundation for clarifying the ecological functional value of PWS and appropriate planning in the coastal zone.…”
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Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

“…The efficient malware identification method developed can cope with the constantly evolving malware threats.…”
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Distributed Photovoltaic Communication Anomaly Detection Based on Spatiotemporal Feature Collaborative Modeling by Li Di, Zhuo Lv, Hao Chang, Junfei Cai

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XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

“…This performance profile indicates adept navigation of the delicate balance between missed diagnoses and unnecessary interventions. Feature importance analysis revealed a multifaceted risk landscape, where screening test results contributed substantial predictive power (approximately 60%), complemented by demographic and behavioral factors, including age, reproductive history, and contraceptive usage patterns. …”
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Vegetation Succession Patterns at Sperry Glacier’s Foreland, Glacier National Park, MT, USA by Ami Bryant, Lynn M. Resler, Dianna Gielstra, Thomas Pingel

“…Plant colonization patterns on deglaciated terrain give insight into the factors influencing alpine ecosystem development. …”
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STRUCTURAL AND DYNAMIC DISTRIBUTION PATTERNS OF OIL FIELDS IN THE CENTRAL PART OF THE VOLGA-URAL ANTECLISE by S. Yu. Kolodyazhny, A. I. Nekrasov

“…Tectonical and development features of the central part of the Volga-Ural anteclise and the Sura-Kama (SK) shear zone are considered in connection with the distribution patterns of oil fields. …”
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Unsupervised feature selection based on generalized regression model with linear discriminant constraints by Xiangguang Dai, Mingyu Guan, Facheng Dai, Wei Zhang, Tingji Zhang, Hangjun Che, Xiangqin Dai

“…Benefited from this, the relationships and patterns within the high-dimensional data are retained in the reduced-dimensional feature space. …”
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Distribution patterns of gas content in Vorobyov deposits within the southern dip of the Buzuluk depression by D. D. Mikhalchenko, P. N. Strakhov, G. N. Potemkin, I. D. Loginov

“…Despite the relatively high level of knowledge, due to the complex structure and features of fluid dynamics, the development of mature deposits is accompanied by a number of challenges and remains relevant for further research.Aim. …”
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N6-methyladenine identification using deep learning and discriminative feature integration by Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. AlQahtani, Nijad Ahmad

“…In this study, we present Deep-N6mA, a novel Deep Neural Network (DNN) model incorporating optimal hybrid features for precise 6 mA site identification. The proposed framework captures complex patterns from DNA sequences through a comprehensive feature extraction process, leveraging k-mer, Dinucleotide-based Cross Covariance (DCC), Trinucleotide-based Auto Covariance (TAC), Pseudo Single Nucleotide Composition (PseSNC), Pseudo Dinucleotide Composition (PseDNC), and Pseudo Trinucleotide Composition (PseTNC). …”
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Intelligent pattern design using 3D modelling technology for urban sculpture designing by Wei Wan

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Is Arend Lijphart’s Pattern Still Valid? Political Parties, Interest Groups, Pluralism and Corporatism by Jacek Sroka

“…This may not completely undermine one of the important features that distinguish majoritarian and consensual patterns of democracy, but it should certainly encourage updating their analyses, assessments and predictions of further development trajectories. …”
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