Modelling effective soil depth at field scale from soil sensors and geomorphometric indices by Mauricio Castro Franco, Marisa Domenech, José Luis Costa, Virginia Carolina Aparicio

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Sodium-dependent phosphate transporter NaPi2b as a candidate for targeted therapy: features of structure, function, and expression by R. G. Kiyamova, R. A. Vlasenkova, L. F. Bulatova

“…The tumor-specific conformation of the large extracellular domain of the NaPi2b transporter, mutations, and features of expression of the transporter gene in normal and pathological conditions show that NaPi2b is a promising target for the development of highly selective targeted drugs against it for the treatment of cancer and metabolic disorders.…”
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Literary Elite in Processes of Socio-Cultural Modernization of Russia in 1830-1850: Main Identificational Features and Peculiarities of Status and Role Identification by T. F. Arzhanykh

“…Socio-political and psychological factors that influenced the choice of axiological meanings and behaviour patterns of various reference groups of literary and historiosophical orientation are analysed. …”
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Analysis of the spatial distribution of the Siberian silk moth outbreak area based on terrain features in the Siberian mountain southern taiga forests by Svetlana M. Sultson, Andrey A. Goroshko, Denis A. Demidko, Pavel V. Mikhaylov, Olga A. Slinkina, Nadezhda N. Kulakova

“…This study aims to investigate the spatiotemporal patterns of the Siberian silkmoth outbreak by analyzing orographic data from mountainous southern taiga forests in Siberia. …”
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Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea. by Injae Seo, Minkyoung Kim, Jong Wook Kim, Beakcheol Jang

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Prediction of time averaged wall shear stress distribution in coronary arteries’ bifurcation varying in morphological features via deep learning by Mohammad Hossein Sarkhosh, Mohammad Hossein Sarkhosh, Hadis Edrisnia, Mohammad Reza Raveshi, Mahkame Sharbatdar

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Uncovering How Information Quality Shapes Diverse User Engagement on Content Community Platforms: Harnessing Deep Learning for Feature Extraction by Yanzi Wang, Min Wang, Zhen Zhu, Haoxiang Ye

“…By utilizing a negative binomial model, our analysis reveals significant differences in antecedents between retweets and likes/comments while also highlighting variations in the impact levels of specific content quality features between likes and comments. These findings suggest contrasting patterns regarding how content quality features influence information production and dissemination on CCPs, underscoring the necessity for platform sponsors to develop adaptive mechanisms aligned with their strategic objectives for incentivizing specific quality features.…”
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Immunophenotypic features of bone marrow tumor cell in Burkitt lymphoma/leukemia: B-lineage acute lymphoblastic leukemia diagnostics opportunities by I. A. Demina, T. Yu. Verzhbitskaya, S. A. Kashpor, S. A. Plyasunova, M. E. Dubrovina, L. G. Fechina, N. V. Myakova, E. V. Samochatova, A. A. Maschan, A. M. Popov

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Comparative Analysis of AlexNet, ResNet-50, and VGG-19 Performance for Automated Feature Recognition in Pedestrian Crash Diagrams by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

“…This study contributes novel insights to pedestrian safety research by leveraging image processing technology, and highlights CNNs’ potential use in detecting concealed pedestrian crash patterns. The results lay the groundwork for future research, and offer promise in supporting safety initiatives and facilitating countermeasures’ development for researchers, planners, engineers, and agencies.…”
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A Feature Selection Method by using Chaotic Cuckoo Search Optimization Algorithm with Elitist Preservation and Uniform Mutation for Data Classification by Le Wang, Yuelin Gao, Jiahang Li, Xiaofeng Wang

“…Feature selection is an essential step in the preprocessing of data in pattern recognition and data mining. …”
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Clinicopathological features of two ultra-rare cases of malignant perivascular epithelioid cell tumors (PEComas) involving the uterus with recent updates by Bharat Rekhi, Santosh Menon

“…Herein, we present the clinicopathological features of two such cases, including their diagnostic implications with recent updates. …”
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Prevalence and Antimicrobial-Resistant Features of Shigella Species in East Africa from 2015–2022: A Systematic Review and Meta-Analysis by Basha Ayele, Getenet Beyene, Mekdelawit Alemayehu, Aman Dekebo, Zeleke Mekonnen, Gashaw Nigussie

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Enhancing the FFT-LSTM Time-Series Forecasting Model via a Novel FFT-Based Feature Extraction–Extension Scheme by Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk

“…To achieve this, the authors developed a feature extraction–extension scheme, where the extraction component focuses on obtaining the phase and amplitude of complex numbers through fast Fourier transform (FFT) and the extension component expands the time intervals by enriching them with the corresponding frequency characteristics of each individual time point. …”
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Atypical ductal hyperplasia diagnosed by US-guided core needle biopsy: clinical, pathological and US features associated with upgrading to malignancy by Jun Kang Li, Yong Jie Xu, Rui Lan Niu, Nai Qin Fu, Zhi Ying Jin, Shi Yu Li, Yu Chen Liu, Zhi Li Wang

“…Predictors included in the model were age, the pathological pattern of ADH with intraductal papilloma or ADH alone, Ki-67 positivity, and imaging-pathological discordance. …”
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Development of areal-level individualized homologous functional parcellations in youth by Jinlong Li, Yu Zhang, Xinyu Wu, Mufan Xue, Zhiming Wang, Shuo Lv, Ruoqi Yang, Wenjing Zhu, Xuesong Li, Tianyi Yan, Guoyuan Yang

“…However, the developmental trajectory patterns based on homologous areal-level brain parcellations remain elusive. …”
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On the Development of New Forensic Tools for Detection of Human Skin Prints by V. A. Vasil’ev, T. A. Ermakova, Yu. A. Druzhinin, I. B. Afanas’ev, Yu. T. Yudina

“…The authors propose new model compositions of fingerprint powders considering the reviewed common patterns: non-magnetic and luminescent magnetic. The features of prints bearing surfaces and developed fingerprint powders have been evaluated by applying electronic microscopy methods (scanning and probe microscopy). …”
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Characterisation of patients who develop atrial fibrillation-induced cardiomyopathy by Guy Lloyd, Mehul Dhinoja, Richard J Schilling, Ross J Hunter, Nikhil Ahluwalia, Shohreh Honarbakhsh, Anthony W C Chow, Hakam Abbass

“…It is unclear why some patients develop AIC.Hypothesis Patients with AIC have a subtle cardiomyopathic process that precedes their AF-mediated LVEF reduction. …”
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Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development by Jung-Hoon Sul, Lasitha Piyathilaka, Diluka Moratuwage, Sanura Dunu Arachchige, Amal Jayawardena, Gayan Kahandawa, D. M. G. Preethichandra

“…It also highlights both traditional filtering techniques and advanced methods, such as wavelet transforms, empirical mode decomposition, and adaptive filtering. Feature extraction techniques are explored to support pattern recognition and motion classification. …”
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An interpretable machine learning approach for predicting and grading hip osteoarthritis using gait analysis by Qing Yang, Xinyu Ji, Yuyan Zhang, Shaoyi Du, Bing Ji, Wei Zeng

“…Purpose The purpose of this study is to evaluate the efficacy of lower extremity kinematic gait data for detecting and rating the severity of unilateral hip OA using machine learning algorithms. Methods First, a feature extraction framework is developed to derive several discriminative spatiotemporal and nonlinear features from lower extremity kinematic gait data. …”
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MultiRepPI: a cross-modal feature fusion-based multiple characterization framework for plant peptide-protein interaction prediction by Yu Zhiguo, Li Zixuan, Li Peng

“…First, most methods fail to adequately integrate multimodal information such as sequence, structure, and disorder properties, leading to inadequate characterization of complex interaction patterns. Second, existing models have difficulty in capturing cross-dependent features between peptides and proteins, limiting the prediction performance. …”
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