Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature review by Ruoling Gao, Jiaying Liu, Qingdian Cong, Zhilan Huang, Guoping Zhu, Xuan Jin, Jibo Hu

“…A literature review was carried out on the clinical features and imaging findings of the hepatic perivascular epithelioma, and cases with liver PEComa and kidney AML were described.…”
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Cytological Features of a Variant NUT Midline Carcinoma of the Lung Harboring the NSD3-NUT Fusion Gene: A Case Report and Literature Review by Shiho Kuroda, Shioto Suzuki, Akira Kurita, Mari Muraki, Yoichiro Aoshima, Fumihiko Tanioka, Haruhiko Sugimura

“…Conclusion. The cytological features of a variant NMC of the lung are described for the first time.…”
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MRI Parameters and Clinicopathologic Features in Predicting Hepatocellular Carcinomas With Aggressive-Related Marker Expression, Defined by Epithelial Cell Adhesion Molecule and Gl... by Li Y, Huo L, Liu L, Jia N, Song B

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Epidemiologic features of Guillain-Barré syndrome in São Paulo, Brazil Aspectos epidemiológicos da síndrome de Guillain-Barré em São Paulo, Brasil by Maria Sheila Guimarães Rocha, Sônia Maria Dozzi Brucki, Alzira Alves de Siqueira Carvalho, Úrsula Waleska Poti Lima

“…We evaluate some epidemiological features of GBS in a sample of cases treated at a tertiary hospital in São Paulo, Brazil. …”
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Prediction of obesity levels based on physical activity and eating habits with a machine learning model integrated with explainable artificial intelligence by Yasin Görmez, Fatma Hilal Yagin, Burak Yagin, Yalin Aygun, Hulusi Boke, Georgian Badicu, Matheus Santos De Sousa Fernandes, Abedalrhman Alkhateeb, Mahmood Basil A. Al-Rawi, Mohammadreza Aghaei, Mohammadreza Aghaei

“…The use of SHAP and LIME increases model transparency, facilitating the identification of specific lifestyle patterns linked to obesity risk. These findings help to formulate more precise intervention techniques guided by a reliable and understandable predictive framework.…”
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Development of New Electricity System Marginal Price Forecasting Models Using Statistical and Artificial Intelligence Methods by Mehmet Kızıldağ, Fatih Abut, Mehmet Fatih Akay

“…This study addresses the challenges of SMP prediction in Turkey by proposing a comprehensive forecasting framework that integrates machine learning, deep learning, and statistical models. Advanced feature selection techniques, such as Minimum Redundancy Maximum Relevance (mRMR) and Maximum Likelihood Feature Selector (MLFS), are employed to refine model inputs. …”
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METHOD OF CONTENT-DEPENDENT WATERMARKING IMAGES BASED ON SECURITY VISUAL SECRET SHARING SCHEME by A. A. Boriskevich

“…A method of content-dependent watermarking images without embedding digital watermark based on visual secret sharing scheme, which allows to encrypt the digital watermark as a noise like secret and public shadow images using binary content-dependent wavelet-pattern with visually significance features and code table and to reconstruct the digital watermark by means of performing a logical operation (AND, OR or XOR) on a secret and a public shadow images. …”
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A diagnostic system for detecting COVID-19 patients depending on lexicon semantic and Biterm Topic Model-Based Feature Selection on WhatsApp Messages Classification by Raghad Hatem, Noor Hussein Eliwe

“…Our methodology combines Word2Vec embeddings with lexical-semantic enrichment using ConceptNet, creating a comprehensive system that can detect subtle linguistic patterns associated with COVID-19 symptoms and experiences. …”
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Distribution of sublittoral vegetation at the continental coast of the Okhotsk Sea (within the limits of Khabarovsk Region) by Alexander A. Dulenin

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Analysis of Dynamic, Thermodynamic, and Synoptic conditions of heavy rainfall Events in the South-East of Iran by Bohlool Alijani, Keramat Hashemi, Mohsen Abbasnia, Sima Pourhashemi

“…Then, the maps of spatial patterns have been drawn with the resolution in cell size of 2.5٭2.5 degree.­ …”
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SPECIES COMPOSITION AND TERRITORIAL DISTRIBUTION OF BIRDS IN PIEDMONT DAGESTAN by E. V. Vilkov

“…Information on the following points was obtained for the first time: composition of bird species, their average abundance, residence status, faunal‐genetic structure, ecological pattern of the avifauna, as well as the features of territorial distribution of birds in Piedmont Dagestan.Methods. …”
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Genome-wide analysis of the BoBZR1 family genes and transcriptome analysis in Brassica oleracea by Muhammad Asad Ullah, Muhammad Hamza, Rozia Gull, Muhammad Shafiq, Abdul Wahid, Shahab Ahmad, Tayebeh Ahmadi, Mehdi Rahimi

“…A complete genome-wide analysis identified 12 BZR1 genes in B. oleracea, categorized into three groups based on their gene motif and structural features. These BoBZR1s were found on eight different chromosomes. …”
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Magnetic Resonance Imaging Texture Analysis Based on Intraosseous and Extraosseous Lesions to Predict Prognosis in Patients with Osteosarcoma by Yu Mori, Hainan Ren, Naoko Mori, Munenori Watanuki, Shin Hitachi, Mika Watanabe, Shunji Mugikura, Kei Takase

“…<b>Methods:</b> Thirty-four patients underwent pretreatment MRI and were diagnosed as having OS by surgical resection or biopsy between September 2008 and June 2018. Histological patterns and 3-year survival were recorded. Manual segmentation was performed in intraosseous, extraosseous, and entire lesions on T1-weighted, T2-weighted, and contrast-enhanced T1-weighted images to extract texture features and perform principal component analysis. …”
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A Correlational Study on Architectural Design and Thermal Distribution Patterns Using a Novel Multi-Terminal Approach in Cylindrical Li-Ion Cell-Integrated Battery Packs by Sagar D, Raja Ramar, Shama Ravichandran

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Identifying student help-seeking behavior patterns and help-seeking tendencies from student problem-solving and help-seeking behavior data: An educational data mining approach by Chih-Yueh Chou, Wei-Han Chen

“…This study applied an educational data mining approach, including clustering and classification, to analyze students’ problem-solving and help-seeking data in a computer assisted learning system to identify student help-seeking behavior patterns and tendencies. First, nine observable problem-solving and help-seeking features for identifying help-seeking behavior patterns were established. …”
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Rethinking the regulations and development patterns of villages connected to the city; approaches based on generic codes at macro level(Case study: Perjikola and Bala lamouk villag... by Hadi pendar

“…Process based on generative codes based on flexibility, sustainability and evolution of the most fundamental features in action at the neighborhood scale. The research was conducted based on logical reasoning. …”
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Development and validation of a machine learning model for predicting vulnerable carotid plaques using routine blood biomarkers and derived indicators: insights into sex-related ri... by Yimin E, Zhichao Yao, Maolin Ge, Guijun Huo, Jian Huang, Yao Tang, Zhanao Liu, Ziyi Tan, Yuqi Zeng, Junjie Cao, Dayong Zhou

“…RCS modeling further revealed distinct sex-related patterns in plaque vulnerability across biomarker value ranges. …”
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Distribution patterns of HLA-A^*, B^*, DRB1^* allele groups among persons who underwent COVID-19 by L. N. Bubnova, I. E. Pavlova, A. S. Berkos, M. A. Terentyeva, T. V. Glazanova, L. V. Erokhina, E. V. Belyaeva, A. V. Chechetkin, N. S. Bashketova, I. G. Chkhindzheria, M. А. Kozhemyakina, D. V. Azarov, R. N. Kuznetsova, Areg A. Totolyan

“…Many studies have focused on search of specific alleles associated with both susceptibility and resistance to this disease. Separate HLA patterns were reported already. These patterns may be either universal to several populations, or rather peculiar, since distribution of HLA genes is different for various populations, depending on the living conditions, including specific protection from environmental pathogens. …”
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Structure and usage do not explain each other: an analysis of German word-initial clusters by Wiese Richard, Orzechowska Paula

“…The present study focuses on German word-initial consonant clusters and asks whether feature-based phonotactic preferences correlate with patterns of type and token frequencies in present-day usage. …”
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AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Ravinesh C. Deo, Abdul Hafeez-Baig, Tracy Kolbe-Alexander, Niranjana Sampathila, U. Rajendra Acharya

“…The MSCBs employ four parallel 1D convolutional layers with different kernel sizes, enabling the model to extract multi-scale features critical for learning patterns in complex environmental data. …”
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