Keratoacanthoma versus Squamous-Cell Carcinoma: Histopathological Features and Molecular Markers by Hisham F. Bahmad, Kalin Stoyanov, Teresita Mendez, Sally Trinh, Kristy Terp, Linda Qian, John Alexis

“…Various ancillary tests, including immunohistochemical (IHC) staining, have been proposed to differentiate between these entities, though mixed patterns of expression can limit the diagnostic utility of these techniques. …”
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Features of Investment Activity in Agriculture in the South of Russia and Ways of its Activation by Vladimir Ivanovich Trukhachev, Igor Yurievitch Sklyarov, Yuliya Mikhailovna Sklyarova, Vitaliy Zelimkhanovich Mazloev, Anna Vladimirovna Volkogonova

“…The relevance of this article on the topic: “Features of Investment Activity in Agriculture in the South of Russia and Ways of its Activation” is that at the present time, as a result of the systemic crisis of the Russian economy, a set of objective prerequisites for improving the financial and credit mechanisms in the agro industrial complex has been formed. …”
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LANGUAGE SPACE OF NEURAL NETWORKS: FEATURES AND DIFFERENCES FROM NATURAL LANGUAGE by Natalia B. Egorchenkova, Olga V. Korobova

“…These features include attachment to keywords in the task, potential loss of the main idea, inconsistency with required style, repetition of similar ideas, lack of specific facts or personal experiences, and limitations in vocabulary, linguistic patterns, and grammatical structures. …”
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Clinical features and outcomes of Rhegmatogenous Retinal Detachments in Acute Retinal Necrosis by Shabtab Nasir, Samreen Mehfooz, Soumyava Basu, Rajeev R. Pappuru, Mudit Tyagi

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High‐Fidelity Computational Microscopy via Feature‐Domain Phase Retrieval by Shuhe Zhang, An Pan, Hongbo Sun, Yidong Tan, Liangcai Cao

“…Feature‐domain consistency tells that certain features, such as edges, textures, or patterns of an image, remain invariant in different image transformations, degradations, or representations. …”
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Plantar pressure classification and feature extraction based on multiple fusion algorithms by Xiaotian Bai, Xiao Hou, Yiling Song, Zhengyan Tang, Hongfeng Huo, Jingmin Liu

“…Analysis of variance compared the differences in features between various plantar pressure distribution patterns. …”
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Keywords, morpheme parsing and syntactic trees: features for text complexity assessment by Dmitry A. Morozov, Ivan A. Smal, Timur A. Garipov, Anna V. Glazkova

“…In most situations, morphemic characteristics turned out to be more effective than previously described methods for assessing the lexical complexity of a text: the frequency of words and the occurrence of word-formation patterns. The use of an extensive set of syntactic features allowed, in most cases, to improve the quality of work of neural network models in comparison with the previously described set.…”
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CDFA: Calibrated deep feature aggregation for screening synergistic drug combinations by Xiaorui Kang, Xiaoyan Liu, Quan Zou, Quan Zou, Tiantian Li, Ximei Luo, Ximei Luo

“…Concretely, CDFA utilizes a novel cell line representation based on the protein information and gene expression capturing complementary biological determinants of drug response. Besides, a novel feature aggregation network is proposed based on the Transformer to model the intricate interactions between drug pairs and cell lines through multi-head attention mechanisms, enabling discovery of non-linear synergy patterns. …”
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Evaluation of Features in Probably Benign and Malignant Nonmass Enhancement in Breast MRI by Nasrin Ahmadinejad, Fahimeh Azizinik, Pershang Khosravi, Ala Torabi, Amirhassan Mohajeri, Arvin Arian

“…MRI features of NME findings including the location, size, distribution and enhancement pattern, kinetic curve, diffusion restriction, and also pathology result or 6-12-month follow-up MRI were evaluated and analyzed in each group (probably benign or suspicious NME). …”
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Methane Concentration Inversion Based on Multi-Feature Fusion and Stacking Integration by Yanling Han, Wei Li, Congqin Yi, Ge Song, Yun Zhang

“…The method leverages the series-parallel cascade structure between multiple base models and meta-models to learn different feature representations and patterns in the original data, fully exploring the intrinsic relationships between various feature factors and methane concentration. …”
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Young-Onset Amyotrophic Lateral Sclerosis: Genetic Structure and Phenotypic Features by Denis V. Shevchuk, Natalya Yu. Abramycheva, Arina R. Protsenko, Darya A. Grishinа, Angelina G. Makarova, Maria N. Zakharova

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ROCK FRACTURES NEAR FAULTS: SPECIFIC FEATURES OF STRUCTURAL‐PARAGENETIC ANALYSIS by Yu. P. Burzunova

“…The new approach to structural‐paragenetic analysis of near‐fault fractures [Seminsky, 2014, 2015] and specific features of its application are discussed. This approach was tested in studies of fracturing in West Pribaikalie and Central Mongolia. …”
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An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

“…However, these methods often fall short in detecting sophisticated and evolving threats, particularly those involving subtle variations or mutations of known attack patterns. To address this challenge, our study presents the “Optimized Random Forest (Opt-Forest),” an innovative ensemble model that combines decision forest approaches with genetic algorithms (GAs) for enhanced intrusion detection. …”
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How key features of early development shape deep convective systems by Sophie Abramian, Caroline Muller, Camille Risi, Thomas Fiolleau, Rémy Roca

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Morphodynamic Features of Contrast-Enhanced Mammography and Their Correlation with Breast Cancer Histopathology by Claudio Ventura, Marco Fogante, Elisabetta Marconi, Barbara Franca Simonetti, Silvia Borgoforte Gradassi, Nicola Carboni, Enrico Lenti, Giulio Argalia

“…This study investigates the relationship between CEM morphodynamic features and histopathological characteristics of BC. …”
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Isolated carcinomatosis of the abdominal cavity in women: the features of immunophenotypes and morphometric parameters. by О. V. Poslavska, I. S. Shponka, O. A. Savchenko, M. Yu. Petrova

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Differentiating biomarker features and familial characteristics of B-SNIP psychosis Biotypes by David A. Parker, Rebekah L. Trotti, Jennifer E. McDowell, Sarah K. Keedy, Matcheri S. Keshavan, Godfrey D. Pearlson, Elliot S. Gershon, Elena I. Ivleva, Ling-Yu Huang, Kodiak Sauer, S. Kristian Hill, John A. Sweeney, Carol A. Tamminga, Brett A. Clementz

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Radiological features of gait phenotypes in patients with idiopathic normal pressure hydrocephalus by Silvia Nicolosi, Silvia Nicolosi, Massimiliano Todisco, Massimiliano Todisco, Matteo Paoletti, Eduardo Caverzasi, Eduardo Caverzasi, Francesco Tarantino, Elena Ballante, Francesca Valentino, Roberta Zangaglia, Silvia Figini, Silvia Figini, Giuseppe Cosentino, Giuseppe Cosentino, Claudio Pacchetti, Anna Pichiecchio, Anna Pichiecchio

“…We aimed to understand the neuroimaging correlates of iNPH phenotyping into different gait patterns, by assessing specific radiological features and their correlations with clinical scores.MethodsWe enrolled 86 probable iNPH patients (53 males; age range: 69–88 years), who underwent a comprehensive clinical assessment, including neuropsychological tests, and a conventional MRI scan. …”
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Morphological Features of Red Blood Cells in Patients with Severe Concomitant Injury by V. V. Moroz, E. A. Myagkova, V. A. Sergunova, O. E., Gudkova, D. A. Ostapchenko, A. M Chernysh, V. I. Reshetnyak

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Palm Vein Verification Using Multiple Features and Locality Preserving Projections by Ali Mohsin Al-juboori, Wei Bu, Xiangqian Wu, Qiushi Zhao

“…New palm vein features extraction methods, global feature extracted based on wavelet coefficients and locality preserving projections (WLPP), and local feature based on local binary pattern variance and locality preserving projections (LBPV_LPP) have been proposed. …”
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