Clinical and imaging features of parenchymal and non-parenchymal neuro-Behçet’s disease: a systematic review of case reports and series by Omar Al-omoush, Majd M. AlBarakat, Deya’a Alasmar, Ali Al-Khalaileh, Ahmad Alzoubi, Husam Tarakhan, Zaid Shakhatreh, Zaid Hatamleh, Mohammed Abu-saleh, Othman Saleh, Abdalrahman Altiti, Wafa’ A. Hazaymeh, Sakhr Alshwayyat, Hamdah Hanifa, Ethar Hazaimeh

“…Recognizing these patterns can help diagnose and treat the disease earlier.…”
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Clinical Features of Type B Insulin Resistance in Japanese Patients: Case Report and Survey-Based Case Series Study by Yusuke Hirota, Hirotsugu Suwanai, Toshimasa Yamauchi, Takashi Kadowaki

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Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer by Liangrui Pan, Qingchun Liang, Wenwu Zeng, Yijun Peng, Zhenyu Zhao, Yiyi Liang, Jiadi Luo, Xiang Wang, Shaoliang Peng

“…VERN captures spatial topological features with feature sharing and skip connections to enhance model training. …”
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Quantitative comparison between single-photon emission computed tomography and positron emission tomography imaging of lung ventilation with 99mTc-technegas and 68Ga-gallgas in pat... by Enrique Gustavo Cuna, Juan Pablo Gambini, Liliana Servente, Eduardo Savio, Henry William Engler, Gabriel Adrián González, Omar Alonso

“…A high correlation (Pearson correlation coefficient >0.9) was found between 16 texture features measured from SPECT and 7 features measured from PET and FEV1. …”
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Risk Factors and Vascular Features Associated With Local Recurrence in Pancreatic Cancer Post‐Pancreaticoduodenectomy: A Retrospective Cohort Study by Ting‐Kai Liao, Ying Jui Chao, Wei‐Hsun Lu, Ping‐Jui Su, Chih‐Jung Wang, Yan‐Shen Shan

“…This study highlights potential risk factors, recurrence patterns, and associated vascular features for early identification. …”
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Features of the modelled stress-strain state dynamics prior to the M7.1 2019 Ridgecrest earthquake in Southern California by Bondur V., Gokhberg M., Garagash I., Alekseev Dmitry Aleksandrovich

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Weighing temporal fluctuations of drought features in Rwanda through the implementation of the standardized precipitation evapotranspiration index and standardized precipitation in... by Kazora Jonah, Zhu Weijun, Kyaw Oo Than, Temesgen Gebremariam Asfaw, Emmanuel Adu Gyamfi Kedjanyi, Abraham Okrah, Akimana Diane, Mathieu Mbati Mugunga

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The beginnings of vernacular scientific discourse: genres and linguistic features in some early issues of the Journal des Sçavans and the Philosophical Transactions by David BANKS

“…This article looks in detail at some of the linguistic features of one issue of the Journal des Sçavans (9 March 1665), and one issue of the Philosophical Transactions (3 July 1665). …”
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Enhanced Extraction of Activation Time and Contractility From Myocardial Strain Data Using Parameter Space Features and Computational Simulations by Borut Kirn

“…Each pair generated a simulated strain pattern, and by scanning the grid, we identified cohorts of similar strain patterns for each simulation. …”
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Multi-Dimensional AE Signal Features in Eccentrically Loaded Concrete Structures: A Machine Learning Classification for Damage Progression by Shilong Ding, Alipujiang Jierula, Abudusaimaiti Kali, Tong Han, Tae-Min Oh

“…This study employed K-means clustering algorithm and Gaussian mixture models (GMMs) to analyze AE signal features from reinforced concrete (RC) columns undergoing failure under the eccentric compression loading of different eccentricity. …”
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Hidden features: CD36/SR-B2, a master regulator of macrophage phenotype/function through metabolism by Yuge Chen, Xuejia Zhang, Xuejia Zhang, Shengbin Huang, Shengbin Huang, Maria Febbraio

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Behavioral Phenotype, Electroclinical Features, and Treatment Options in Twins with Lrp2 Candidate Variants (Donnay–Barrow/Foar Syndrome) by Alessia Mingarelli, Giovanni Battista Pipitone, Giacomo Torini, Maria Grazia Patricelli, Martina Totaro, Clara Colonna, Paola Carrera, Federico Raviglione

“…During follow-up, at the age of 7, the main clinical features of the patients included insomnia, autistic features, severe psychomotor delay, and absent speech. …”
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Prediction Model and Knowledge Discovery for Roof Stress in Mined-Out Areas Integrating 3D Scanning Image Features by Yong Yang, Kepeng Hou, Huafen Sun, Linning Guo, Yalei Zhe

“…To address these issues, this study innovatively integrates 3D laser scanning image features into the prediction of roof stress in mined-out areas. …”
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TECTONIC AND EROSION FEATURES, AND THEIR INFLUENCE ON ZONAL DISTRIBUTION OF THE UPPER TRIASSIC AND THE LOWER CRETACEOUS SEDIMENTS IN THE EUPHRATES GRABEN AREA, SYRIA by I. Yousef, V. P. Morozov, Mohammad El Kadi, Abdullah Alaa

“…We have investigated the tectonic and erosion features of the Upper Triassic (Mulussa F Formation) and Lower Cretaceous (Rutbah Formation) sediments in the Euphrates graben area and analysed their influence on changes in the thickness and zonal distribution patterns of these sediments. …”
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Comparative analysis of deep neural network architectures for renewable energy forecasting: enhancing accuracy with meteorological and time-based features by Sunawar Khan, Tehseen Mazhar, Muhammad Amir Khan, Tariq Shahzad, Wasim Ahmad, Afsha Bibi, Mamoon M. Saeed, Habib Hamam

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Study of component features of essential oils of <i>Rosmarinus officinalis</i> and <i>Salvia sclarea</i> of Crimean origin by R. E. Ermachenkov, A. L. Markov, M. M. Agaev, E. V. Burtseva, I. I. Terninko

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Exploring functional zone-dependent nonlinear associations between objective features and subjective perceptions: A case study in Beijing by Zixuan Wang, Xiang Zhang, Yuchuan Zhou, Yiyi Jiang, Haibin Xu

“…However, the nonlinear associations between zone-specific objective features (e.g., greenery, traffic lights) and subjective perceptions (e.g., beauty and boredom) remain underexplored. …”
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Evaluating cognitive decline detection in aging populations with single-channel EEG features based on two studies and meta-analysis by Lior Molcho, Neta B. Maimon, Talya Zeimer, Ofir Chibotero, Sarit Rabinowicz, Vered Armoni, Noa Bar On, Nathan Intrator, Ady Sasson

“…Abstract Timely detection of cognitive decline is paramount for effective intervention, prompting researchers to leverage EEG pattern analysis, focusing particularly on cognitive load, to establish reliable markers for early detection and intervention. …”
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Spectral Components of Honey Bee Sound Signals Recorded Inside and Outside the Beehive: An Explainable Machine Learning Approach to Diurnal Pattern Recognition by Piotr Książek, Urszula Libal, Aleksandra Król-Nowak

“…Extra Trees and Convolutional Neural Network (CNN) classifiers were trained to identify diurnal activity patterns. Analysis focused on feature importance, particularly spectral characteristics. …”
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Exploring the relationship between features calculated from contextual embeddings and EEG band power during sentence reading in Chinese by Yao Wang, Yao Wang, Yao Wang, Tiantian Xue, Tiantian Xue, Tiantian Xue, Xingyu Yang, Xingyu Yang, Xingyu Yang

“…Building on this framework, we hypothesize that cumulative distance metrics between contextual embeddings of adjacent linguistic units (words/Chinese characters) in sentence contexts may quantitatively reflect neural activation intensity during reading comprehension.MethodsUsing large-scale EEG datasets collected during reading tasks, we systematically investigated the relationship between these computationally derived distance features and frequency-specific band power measures associated with neural activity.ResultsIn conclusion, gamma-band power exhibited associations with various NLP features in the ChineseEEG dataset, whereas no comparable gamma-specific effects were observed in the ZuCo1.0 dataset. …”
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