The BBX family and their response to abiotic stress in ginger (Zingiber officinale Roscoe) by Jia-Yu Shi, Yun-Rui Tang, Hong-Lei Li, Hai-Tao Xing

“…A comprehensive analysis was conducted on the gene features, conserved protein motifs, chromosome location, phylogenetic relationships, and gene duplication events in ZoBBXs. …”
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Long-Term Spatiotemporal Evolution Characteristics and Driving Force Analysis of Landscape Stability in the Forest–Grassland Ecotone of the Greater Khingan Mountains, Inner Mongoli... by Qingchi Han, Jinzhuo Wu, Wenshu Lin

“…Previous studies mainly focus on environmentally sensitive features and landscape risk pressures caused by edge effects, ignoring the landscape restoration and stability changes brought about by high species diversity. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…Quasi-periodic patterns (QPPs) are prominent spatiotemporal brain dynamics observed in functional neuroimaging data, reflecting the alternation of high and low activity across brain regions and their propagation along cortical gradients. …”
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Multi-scale feature pyramid network with bidirectional attention for efficient mural image classification. by Shulan Wang, Siyu Liu, Mengting Jin, Pingmei Fan

“…First, a lightweight Feature Pyramid Network (FPN) is embedded into DenseNet201 to fuse multi-scale texture features (28 × 28 × 256, 14 × 14 × 512, 7 × 7 × 1024). …”
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Occluded face recognition using optimum features based on efficient preprocessing and machine learning by Rajesh H. Khobragade, Dinesh B. Bhoyar, Ajay Paithane, Suresh Kurumbanshi

“…The preprocessing stage involves obtaining two sets of images based on contrast correction and anisotropic filtering and then averaging them. Optimum quality features are then extracted from the mean color and grayscale image using diverse descriptors such as Gabor, Linear Binary Patterns based on Haar Wavelet components, Histogram of Gaussian features, Statistical global features based on first order, wavelet components, and color histograms. …”
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Spatial and temporal evolution of land use and habitat quality in arid regions – a case of Northwest China by Wen Feng, Dong Wei, Xu Fei, Lu Chunyang

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Day-ahead photovoltaic power forecasting with multi-source temporal-feature convolutional networks by Ziming Ouyang, Zhaohui Li, Xiangdong Chen

“…MSTFCN employs parallel convolution to capture local temporal patterns and improves global feature representation via a channel attention mechanism. …”
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Neural representation of sensorimotor features in language-motor areas during auditory and visual perception by Yuanyi Zheng, Jianfeng Zhang, Yang Yang, Min Xu

“…We found that both language-motor and sensory areas generally encode production-related motoric features across modalities, indicating cooperative interactions between motor and sensory systems. …”
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Detection Method for Three-Phase Electricity Theft Based on Multi-Dimensional Feature Extraction by Wei Bai, Lan Xiong, Yubei Liao, Zhengyang Tan, Jingang Wang, Zhanlong Zhang

“…In light of this, we propose the Catch22-Conv-Transformer method, a multi-dimensional feature extraction-based approach tailored for the detection of anomalous electricity usage patterns. …”
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Early Prediction of Battery Lifetime Using Centered Isotonic Regression with Quantile-Transformed Features by Muhammad Arslan Khan, Yixing Wang, Benben Jiang

“…First, we apply quantile transformation (QT) to both features and battery cycle lives to improve their correlation. …”
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Topological Features in Profiling the Antimalarial Activity Landscape of Anilinoquinolines: A Multipronged QSAR Study by Shreekant Deshpande, Mohammad Goodarzi, Seturam B. Katti, Yenamandra S. Prabhakar

“…The antimalarial activity of a series of 4-anilinoquinolines was modeled with topological and other functional descriptors using feature selection approaches CP-MLR and GA. Five models were identified from each approach to explain the activity of the compounds. …”
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Terrain and Atmosphere Classification Framework on Satellite Data Through Attentional Feature Fusion Network by Antoni Jaszcz, Dawid Połap

“…The neural architecture model takes into account different types of features by extracting them by focusing on spatial, local patterns and multi-scale representation. …”
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Sensitivity of mesoscale modeling to urban morphological feature inputs and implications for characterizing urban sustainability by Melissa R. Allen-Dumas, Levi T. Sweet-Breu, Christa M. Brelsford, Linying Wang, Joshua R. New, Brett C. Bass

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The interplay between angiogenesis-associated genes and molecular, clinical, and immune features in bladder cancer by Xiaoxiao Guo, Jingxin Yang, Rui Cao, Gangyue Hao

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Enhancing Restoration in Urban Waterfront Spaces: Environmental Features, Visual Behavior, and Design Implications by Shiqin Zhou, Chang Lin, Quanle Huang

“…While urban waterfront spaces are recognized for their mental restorative potential, the specific environmental features and individual visual behaviors that drive these benefits remain inadequately understood. …”
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Comparative experimental study of different bearings vibration using FFT and statistical feature extraction by Wafa Abd Soud, Baqer Ihsan A.

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Molecular, physiological and functional features underlying antipsychotic medication use related cortical thinning by Lauri Tuominen, Reetta-Liina Armio, Justine Y. Hansen, Maija Walta, Nikolaos Koutsouleris, Heikki Laurikainen, Raimo K. R. Salokangas, Bratislav Misic, Jarmo Hietala

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Vibrational spectroscopy unveils distinct cell cycle features of cancer stem cells in melanoma by Bensu Rüya Uslu, Berrin Ozdil, Enver Tarhan, Serdar Özçelik, Hüseyin Aktuğ, Günnur Güler

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SwinDenoising: A Local and Global Feature Fusion Algorithm for Infrared Image Denoising by Wenhao Wu, Xiaoqing Dong, Ruihao Li, Hongcai Chen, Lianglun Cheng

“…This method leverages the powerful feature extraction capabilities of Swin Transformers to capture both local and global image features, thereby enhancing the denoising process. …”
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Looming Detection in Complex Dynamic Visual Scenes by Interneuronal Coordination of Motion and Feature Pathways by Bo Gu, Jianfeng Feng, Zhuoyi Song

“…Existing insect‐inspired looming detection models typically rely on either motion‐pathway or feature‐pathway signals, yet both are susceptible to dynamic visual scene interference. …”
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