An enhanced machine learning approach with stacking ensemble learner for accurate liver cancer diagnosis using feature selection and gene expression data by Amena Mahmoud, Eiko Takaoka

“…We employed a feature selection process to identify the most relevant gene expressions associated with liver cancer. …”
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Passive Radar Low Slow Small Detection Dataset (LSS-PR-1.0) and Multi-domain Feature Extraction and Analysis Methods by Xiaolong CHEN, Guilin RAO, Jian GUAN, Jinhao WANG, Hongyong WANG, Caisheng ZHANG, Jianxin YI, Xianrong WAN, Yunhua RAO

“…On this basis, four categories of ten multi-domain feature extraction and analysis methods are proposed, including time-domain features (relative average amplitude), frequency-domain features (spectral features, Doppler waterfall plot, and range Doppler features), time-frequency-domain features, and motion features (heading difference, trajectory parameters, speed variation interval, speed variation coefficient, and acceleration). …”
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A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning by Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang

“…To mitigate the interference of dynamic features, we propose a normalization feature learning block (NFLBlock) as the core component of NFLM for processing sequences. …”
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A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques by Suganya Athisayamani, Tamilazhagan S, A. Robert Singh, Jae-Yong Hwang, Gyanendra Prasad Joshi

“…This approach effectively captures both structured features and non-linear patterns, making it suitable for datasets with complex dependencies. …”
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Enhanced Tolerance to Antifungals as a General Feature of Rho⁻ Mutants in Yeast Species: Implications to Positive Selection of Respiratory Deficiency by Zachary Johnson, Farhan Nadim, Mikhajlo K. Zubko

“…We observed partial (not complete) inhibition in WT, with four different types of ZOI patterns that were species- and antifungal-specific. …”
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Retrieval of Soil Moisture in the Yutian Oasis, Northwest China by 3D Feature Space Based on Optical and Radar Remote Sensing Data by Yilizhati Aili, Ilyas Nurmemet, Shiqin Li, Xiaobo Lv, Xinru Yu, Aihepa Aihaiti, Yu Qin

“…Through systematic analysis of feature space partitioning patterns across soil moisture gradients, the Optical–Radar Soil Moisture Retrieval Index (ORSMRI) was proposed, and fitting analysis was conducted by measured soil moisture. …”
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Magnitude of Biofilm Formation and Antimicrobial Resistance Pattern of Bacteria Isolated from Urinary Catheterized Inpatients of Jimma University Medical Center, Southwest Ethiopia by Netsanet Awoke, Tesfaye Kassa, Lule Teshager

“…Biofilm formation is one of the features of most bacteria. Catheterization in medicine is a source of highly resistant bacterial infections, and those bacteria respond poorly to antimicrobial therapy. …”
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Improvement of classification accuracy of functional near-infrared spectroscopy signals for hand motion and motor imagery using a common spatial pattern algorithm by Omid Asadi, Mahsan Hajihosseini, Sima Shirzadi, Zahra Einalou, Mehrdad Dadgostar

“…Signals from 20-channel fNIRS were utilized, with input features including statistical descriptors such as mean, variance, slope, skewness, and kurtosis. …”
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A functional MRI study of altered spontaneous brain activity pattern in patients with congenital comitant strabismus using amplitude of low-frequency fluctuation by Tan G, Huang X, Zhang Y, Wu A, Zhong Y, Wu K, Zhou F, Shao Y

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Assessing eco-physiological patterns of Ailanthus altissima (Mill.) Swingle and differences with native vegetation using Copernicus satellite data on a Mediterranean Island by Flavio Marzialetti, Vanessa Lozano, André Große-Stoltenberg, Maria Laura Carranza, Michele Innangi, Greta La Bella, Simonetta Bagella, Giovanni Rivieccio, Gianluigi Bacchetta, Lina Podda, Giuseppe Brundu

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Computational simulation of short-range order structures in high-entropy alloys: a review on formation patterns, multiscale characterization, and performance modulation mechanisms by Hongyang Liu, Bo Chen, Rong Chen, Jingzhi He, Dongdong Kang, Jiayu Dai

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CHEMICAL COMPOSITION AND TRACE ELEMENT PATTERN OF A PYRRHOTITE-PYRITE NODULE FROM THE DERGAMYCH CO-BEARING MASSIVE SULFIDE DEPOSIT, SOUTH URALS by I.Yu. Melekestseva, V.V. Maslennikov, N.P. Safina, D.A. Artemyev

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Life history traits explain the intra-seasonal abundance pattern of rare land snail species Vertigo moulinsiana: bridging the theory-application gap by Anna M. Lipińska, Adam M. Ćmiel, Dariusz Halabowski

“…These insights provide a practical framework for conservation by identifying critical periods of vulnerability and habitat features (e.g., subnivium-like refugia) that can buffer populations against climate extremes and should be prioritized in management planning. …”
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High-Performance Triboelectric Nanogenerator with Double-Side Patterned Surfaces Prepared by CO₂ Laser for Human Motion Energy Harvesting by Dong-Yi Lin, Chen-Kuei Chung

“…Compared to TENGs with flat friction layers and single-side-patterned friction layers, the double-side-patterned MW-MC-TENG demonstrates superior output performance due to increased cone deformation and contact area. …”
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Spatial Differentiation in Urban Thermal Environment Pattern from the Perspective of the Local Climate Zoning System: A Case Study of Zhengzhou City, China by Jinghu Pan, Bo Yu, Yuntian Zhi

“…Seasonal variations, variations in LCZ types, and variations in the spatial distribution pattern of LCZ are responsible for the spatial differences in the thermal environment in the study area. …”
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Satellite A-DInSAR pattern recognition for seismic vulnerability mapping at city scale: insights from the L’Aquila (Italy) case study by Alessandra Sciortino, Roberta Marini, Vincenzo Guerriero, Paolo Mazzanti, Marco Spadi, Marco Tallini

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Investigating Spatial Heterogeneity Patterns and Coupling Coordination Effects of the Cultural Ecosystem Service Supply and Demand: A Case Study of Taiyuan City, China by Xin Huang, Cheng Li, Jie Zhao, Shuang Chen, Minghui Gao, Haodong Liu

“…Key findings include the following: (1) A pronounced spatial heterogeneity in CES supply distribution, exhibiting a core-to-periphery diminishing gradient, with inverse correlations observed among different CES categories. (2) Accessibility, topographic features, and fractional vegetation cover emerged as primary drivers of spatial supply differentiation, while climatic factors and elevation exerted non-negligible influences on this Loess Plateau urban system. (3) Four spatial mismatch patterns were identified through the supply–demand analysis: high supply–high demand (38.1%), low supply–low demand (37.2%), low supply–high demand (13.6%), and high supply–low demand (10.9%). …”
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Assessment of liver involvement in Wilson’s disease with different liver echo patterns based on liver stiffness evaluated on Transient elastography and Sound Touch Viscoelastograph... by Yan Li, Baoqi Li, Fu Jin, Juan Juan Ni, Jing Ping Wang

“…The 6 types of liver echo patterns were classified into three groups: fatty liver pattern, coarse pattern, and nodule pattern. …”
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Common and disease-specific patterns of functional connectivity and topology alterations across unipolar and bipolar disorder during depressive episodes: a transdiagnostic study by Hao Sun, Rui Yan, Zhilu Chen, Xiaoqin Wang, Yi Xia, Lingling Hua, Na Shen, Yinghong Huang, Qiudong Xia, Zhijian Yao, Qing Lu

“…However, due to some common clinical and pathophysiological features, it is a clinical challenge to distinguish them, especially in the early stages of BD. …”
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Diagnostic patterns of haemoglobinopathies: A prospective observational study using high-performance liquid chromatography in a remote tertiary care center of Telangana. by Dr. Sumayya, Dr . Charitha Sravanthi Battu, Dr . K Raja Kumar

“…The remaining 105 cases (57.7%) were unclassified on HPLC alone but showed features suggestive of iron deficiency anemia, anemia of chronic disease, or borderline hemoglobinopathy patterns. …”
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