Mutational features of chromids and chromosomes in Pseudoalteromonas provide new insights into the evolution of secondary replicons by Wanyue Jiang, Jiao Pan, Tongtong Lin, Yaohai Wang, Yanze Wang, Rongxiao Zhang, Xiaoming Zhou, Yu Zhang

“…Currently, there is a lack of understanding of the mutation features and evolutionary patterns of these different replicons. …”
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Clinical burden of major depressive disorder with versus without prominent anhedonia using a real-world electronic health records and claims linked database by Hrishikesh Kale, Stevan Geoffrey Severtson, Becca S. Feldman, Tiina Drissen, Nilanjana Dwibedi, Andrew J. Cutler, Carl D. Marci

“…Abstract Background Anhedonia is a core feature of major depressive disorder (MDD), yet the clinical burden in real-world settings is not well understood. …”
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Improved cloud tracking method tolerant to streaky features: application to Venusian cloud images by Yusuke Nara, Takeshi Imamura

“…By accounting for streaky features in 365-nm images obtained by the Ultraviolet Imager (UVI) on the Akatsuki spacecraft, velocity vectors were obtained in a broad latitudinal range from the equator to high latitudes, where streak patterns have prevented reliable cloud tracking in previous studies. …”
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A study of dynamical features and novel soliton structures of complex-coupled Maccari's system by Naseem Abbas, Amjad Hussain, Mohsen Bakouri, Thoraya N. Alharthi, Ilyas Khan

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PERSONAL FEATURES OF CHILDREN AND ADOLESCENTS ILL WITH RESPIRATORY TUBERCULOSIS EXPOSED AND NOT EXPOSED TO THE SOURCE OF INFECTION by N. V. Zolotova, A. A. Akhtyamova, V. V. Streltsov, G. V. Baranova, E. S. Ovsyankina, N. V. Yukhimenko

“…Specific personal features of 296 children and adolescents exposed to tuberculosis and those with unidentified exposure were comparatively analyzed. …”
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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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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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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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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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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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Sex differences in features of atherosclerotic plaques as revealed by various imaging techniques: historical review by Dalya Laban, Alice Kattan, Lamia Ait-Abdellah, Hema Krishna, Hema Krishna, Elizabeth Le Master, Irena Levitan

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Spatiotemporal wind speed forecasting using conditional local convolution and multidimensional meteorology features by Meng Wang, Juanle Wang, Mingming Yu, Fei Yang

“…Furthermore, the spatial distribution of the local convolution weights aligns with local wind velocity patterns in Inner Mongolia, enhancing model interpretability. …”
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Unveiling key pathomic features for automated diagnosis and Gleason grade estimation in prostate cancer by Valentina Brancato, Mario Verdicchio, Carlo Cavaliere, Francesco Isgrò, Marco Salvatore, Marco Aiello

“…SHapley Additive exPlanations method was used to investigate models’ interpretability, estimating the importance of pathomic features and their impact on prediction models. Results Wavelet features were consistently prominent in “High-grade vs Low-grade” classification task, together with local binary pattern descriptors. …”
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Observer-generated maps of diagnostic facial features enable categorization and prediction of emotion expressions by Martin Wegrzyn, Laura Münst, Jessica König, Maximilian Dinter, Johanna Kissler

“…For happiness, fear and anger, the face half which was highlighted the most was also the half whose visibility led to higher recognition accuracies.The results suggest that diagnostic facial features are distributed in unique patterns for each expression, which observers seem to intuitively extract and use when categorizing facial displays of emotion.…”
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A Unified Approach to Voice Classification: Leveraging Spectrograms, Mel Spectrograms, and Statistical Features by Muhammad Talha, Huma Ghafoor, Seung Yeob Nam

“…This study presents a multi-input neural network architecture for voice classification that integrates two parallel convolutional neural networks (CNNs) for spectrogram and Mel spectrogram images, along with a fully connected dense network for six handpicked numerical statistical features from time domain signal. The outputs from these branches are flattened and merged, enabling the model to learn complementary patterns from both visual and numerical modalities. …”
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Imaging features of pancreatic extragastrointestinal stromal tumors: a case report and literature review by Jian-Xia Xu, Meng-Yin Gu, Yi-Hua Wang, Xiao-Shan Huang, Jia-Qi Duan, Xiao-Zhong Zheng, Xi-Xi Chen, Ri-Sheng Yu, Jun-Yi Xiang

“…Notably, the imaging characteristics of this pEGISTs displayed several distinctive features, including intralesional “island-like” enhancement, peripheral nodular enhancement, and prominent vascular “staghorn” patterns. …”
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New Appliance Signatures for NILM Based on Mono-Fractal Features and Multi-Fractal Formalism by Anam Mughees, Muhammad Kamran, Neelam Mughees, Abdullah Mughees, Krzysztof Ejsmont

“…Mono-fractal features, including fractal dimension and Hurst exponent, are extracted alongside Lacunarity and Multifractal features comprising the singularity spectrum and Hölder exponents. …”
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