Detection of LUAD-Associated Genes Using Wasserstein Distance in Multiomics Feature Selection by Shaofei Zhao, Siming Huang, Lingli Yang, Weiyu Zhou, Kexuan Li, Shige Wang

“…These results highlight the complexity of multiomics integration and the need for advanced feature selection techniques to uncover biologically meaningful patterns. …”
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Gender and age features of clinical and psychopathological phenomenology of depressive disorders in modern times by О. O. Belov, N. H. Pshuk

“…The aim of the work was to study the gender and age features of the clinical and psychopathological phenomenology of depressive disorders at the present stage. …”
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Plastid genomic features and phylogenetic placement in Rosa (Rosaceae) through comparative analysis by Hui Jiang, Shuilian He, Jun He, Yunjuan Zuo, Wenling Guan, Yan Zhao, Xuejiao Li, Jing Meng

“…Conclusions By assembling the largest known dataset of Rosa plastomes, the plastid genomic features across the genus were comprehensively studied before reconstructing a phylogenetic tree with a well-resolved backbone. …”
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The Human Pathology Atlas for deciphering the prognostic features of human cancersResearch in context by Meng Yuan, Cheng Zhang, Kalle Von Feilitzen, Martin Zwahlen, Mengnan Shi, Xiangyu Li, Hong Yang, Xiya Song, Hasan Turkez, Mathias Uhlén, Adil Mardinoglu

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Study of the interval width of features for improving forecasting efficiency of the transport flow intensity by I. N. Pugachev, N. G. Sheshera, D. Yе. Grigorov

“…Logicaland statistical validity of the selection automation of interval rages are the main feature of this method. This is necessary not only for grouping features, but also for increasing their value in a joint analysis. …”
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The clinical features, muscle pathology, and role of autophagy in anti-Ku-positive patients by Lingya Qiao, Ying Lin, Mengyang Liu, Jiaqi Liu, Ke Li, Juan Chen, Qiang Shi

“…Muscle biopsy demonstrated two patterns: a neurogenic atrophy pattern and a myositis pattern characterized by a varying degree of necrotizing fibers (100%) with rimmed vacuoles (50%) or non-rimmed vacuoles (50%). …”
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Features of mismatch negativity in an at-risk mental state with the traits associated with the autistic spectrum by Naohito Kaneko, Naohito Kaneko, Yuko Higuchi, Yuko Higuchi, Noa Tsujii, Shimako Nishiyama, Shimako Nishiyama, Yukiko Akasaki, Kazuya Nagasawa, Kazuya Nagasawa, Daiki Sasabayashi, Daiki Sasabayashi, Michio Suzuki, Michio Suzuki, Tsutomu Takahashi, Tsutomu Takahashi

“…This study aimed to determine whether ARMS individuals with ASD traits exhibit different MMN patterns compared to ARMS individuals without such traits and healthy controls.MethodsForty-nine individuals with ARMS and 45 healthy controls were enrolled. …”
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Imaging features and prognostic significance of immune checkpoint inhibitor–related pneumonitis in NSCLC by Xueqi Wang, Jingyi Yang, Jiahui E, Fan Liu, Qiliang Wang, Yuwei Zhang, Jing Wang, Ying Liu

“…Fifty-one patients (50.0%) were identified as having organizing pneumonia (OP) pattern, followed by nonspecific interstitial pneumonia (NSIP) pattern in 28 patients (27.4%), hypersensitivity pneumonitis (HP) pattern in 6 patients (5.9%), and diffuse alveolar damage (DAD) pattern in 2 patients (2.0%). …”
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Non‐Invasive Follicular Thyroid Neoplasm With Papillary‐Like Nuclear Features (NIFTPs) by Howard Her‐Juing Wu, Tieying Hou

“…ABSTRACT Over the past few years, follicular‐patterned thyroid nodules with nuclear features of papillary thyroid carcinoma (PTC) have been further subclassified based on molecular profiling, histologic features, and clinical behavior. …”
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Analyzing the Relationship Between UHF Partial Discharge Signal Features and Transferred Charge by vahid javandel, Asghar Akbari Azirani, Mohammad Ardebili, Peter Werle

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Specific features of comorbidity in rheumatoid arthritis patients in different follow-up years by N. M. Nikitina, I. A. Afanasyev, T. A. Romanova, A. P. Rebrov

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VCINet: Visual Cue-Inspired Feature Learning Network for SAR Building Segmentation by Mengyu Wang, Zhiyuan Yan, Wenhui Diao, Xudong Hu, Yingchao Feng, Linlin Xin, Junxi Li, Xian Sun

“…First, to improve intraclass variance and emphasize internal consistency, an elaborately designed pattern guidance module is introduced. We systematically study the stable spatial pattern of buildings and leverage the variogram function to model the characteristic to constrain deep network training. …”
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Neurofibromatosis Type 1 Presenting with Plexiform Neurofibromas in Two Patients: MRI Features by Ahmet Mesrur Halefoglu

“…It is inherited in an autosomal dominant pattern. Multiple cutaneous neurofibromas are hallmark lesions of NF1. …”
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TWO-STAGE INTELLIGENT FAULT DIAGNOSIS OF MOTORS BASED ON VISUAL IMAGE FEATURES

“…Aiming at the new challenges in efficiency and reliability in the field of fault diagnosis in recent years,a coarsefine fault diagnosis method for induction motors based on the symmetrized dot pattern(SDP)was proposed.In this method,firstly,the vibration signals of each faulty motor were converted into snowflake images by SDP method,and then a two-stage fault diagnosis framework of coarse-fine classification was designed for image feature extraction and classification.In the coarse classification stage,the color histogram features and the support vector machine(SVM)were used to diagnose the samples,and a threshold was selected to determine the samples for the coarse classification.In the fine classification stage,Gist features that can extract image details and SVM were used to diagnose the remaining samples.Experimental results show that the proposed method combines the advantages of color histogram features and Gist features,can achieve the most reliable diagnosis with relatively high efficiency,and has certain anti-noise ability.…”
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Breast Cancer Diagnosis Using Bagging Decision Trees with Improved Feature Selection by Deepak Dudeja, Ajit Noonia, S. Lavanya, Vandana Sharma, Varun Kumar, Sumaiya Rehan, R. Ramkumar

“…A feature optimization scheme was also introduced in the selection of data points during the training phase, which effectively increased accuracy.…”
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Familial Interstitial Pulmonary Fibrosis: A Large Family with Atypical Clinical Features by Ranji Chibbar, John A Gjevre, Francis Shih, Heather Neufeld, Edmond G Lemire, Derek A Fladeland, Donald W Cockcroft

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Active adaptolates featuring motility-induced percolating structures with an adaptive packing geometry by Aritra K. Mukhopadhyay, Peter Schmelcher, Benno Liebchen

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Multilevel Feature Fusion-Based GCN for Rumor Detection with Topic Relevance Mining by Shenyu Chen, Meng Li, Weifeng Yang

“…However, existing methods for detecting rumors generally only learn pattern features or text content features from the whole propagation process, which fall short in capturing multilevel features with topic relevance of text content from social media data. …”
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Feature extraction and fault diagnosis of gearbox based on ICEEMDAN, MPE, RF and SVM by DING Xiaofeng, ZHANG Yuhua

“…Finally, the importance of such features was evaluated by the RF algorithm, and the sensitive features with high importance were selected to form the optimal feature subset as the input to SVM for fault pattern recognition. …”
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Skin Lesion Diagnosis Through Deep Learning and Hybrid Texture Feature Augmentation by Irpan Adiputra Pardosi, Roni Yunis, Arwin Halim

“…The framework integrates handcrafted features with Convolutional Neural Networks (CNNs) to enhance classification accuracy. …”
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