A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection by Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, Abdulbasit A. Darem, Ali M. Al-Sharafi, Ahmad A. Alzahrani, Menwa Alshammeri, Abdulwhab Alkharashi

“…Digital image fakes mean adding infrequent patterns to the unique images, which causes a heterogeneous method in image properties. …”
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Clinical features, radiological findings and prognosis of microscopic polyangiitis with interstitial lung disease: a retrospective matched control study by Qingzhong Song, Yajuan Liu, Tingting Wu, Yun Zhang, Yanjing Yan, Shengwen Xiao

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SSFAN: A Compact and Efficient Spectral-Spatial Feature Extraction and Attention-Based Neural Network for Hyperspectral Image Classification by Chunyang Wang, Chao Zhan, Bibo Lu, Wei Yang, Yingjie Zhang, Gaige Wang, Zongze Zhao

“…Finally, the MLP Block processes the input features through a series of linear transformations, GELU activation functions, and Dropout layers, capturing complex patterns and relationships within the data, and concludes with an argmax layer for classification. …”
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Survival feature and trend of female breast cancer: A comprehensive review of survival analysis from cancer registration data by Dan-Dan Tang, Zhuo-Jun Ye, Wan-Wan Liu, Jing Wu, Jing-Yu Tan, Yan Zhang, Qun Xu, Yong-Bing Xiang

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Clinical features and antibiotic resistance in pediatric pneumococcal meningitis in Southern Vietnam, 2012–2023: A multicenter retrospective study by Hieu Cong Truong, Thanh Van Phan, Hung Thanh Nguyen, Thang Vinh Ho, Dai Thi Trang Vo, Thuong Vu Nguyen, Trung Vu Nguyen, Niko Speybroeck

“…This study investigates the clinical features, cerebrospinal fluid (CSF) findings, serotype distribution, and antibiotic resistance patterns in Vietnamese children aged 1–59 months with pneumococcal meningitis (PM). …”
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Continuous Short-Term Pain Assessment in Temporomandibular Joint Therapy Using LSTM Models Supported by Heat-Induced Pain Data Patterns by Aleksandra Badura, Maria Bienkowska, Andrzej Mysliwiec, Ewa Pietka

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Identification of anoikis-related molecular patterns and the novel risk model to predict prognosis, tumor microenvironment infiltration and immunotherapy response in bladder cancer by Luochen Zhu, Feng Xiao, Yi Hou, Shenjun Huang, Yanyan Xu, Xiaohong Guo, Xinwei Dong, Chunlu Xu, Xiaolei Zhang, Haijuan Gu

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Data Compactness Versus Prediction Performance: Achieving Both by Pruning Redundant Samples With Dominant Patterns and Hamming Distance Based Sampling Scheme by Abdul Majeed, Seong Oun Hwang

“…Our sampling scheme has five key steps: data pre-processing, dominant pattern extraction by exploiting correlations between features, Hamming distance-based data classification into diverse and less diverse parts, data clustering for redundant-sample pruning from less diverse parts, and fine-tuning/synthesizing the final data. …”
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LEFT HEART STRUCTURE AND FUNCTION IN PATIENTS WITH RHEUMATOID ARTHRITIS: ASSOCIATION WITH THE CLINICAL AND IMMUNOLOGICAL FEATURES OF THE DISEASE AND THE PRESENCE OF ARTERIAL HYPERT... by D A Khalilova, B D Nazarov, Yor Umarovich Saidov, R N Zubaidov

“…Objective: to study the pattern and possible pathogenetic aspects of LCC structural and functional changes in patients with RA in view of the clinical and immunological features of the disease and the presence of AH. …”
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Streamlining diagnosis of melanoma metastasis to the breast: A case report emphasizing distinctive MRI features as crucial diagnostic tool by Andrew Chan, MD, Hal Berman, MD, Saeed Kamil Zaid, MD, Sandeep Ghai, MD, Supriya Kulkarni, MD, Vivianne Freitas, MD, MSc

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A Case of Follicular Tumor of Uncertain Malignant Potential (FT-UMP) with Glomeruloid Features Showing Capsular Mucinous Degeneration by Daniela Cabibi, Andrea Mondello, Ada Maria Florena, Giulia Rimi, Antonino Giulio Giannone, Calogero Cipolla, Maria Rosaria Valerio, Giuseppa Graceffa

“…It is characterized by a “glomeruloid” architectural pattern of growth. We present a case of follicular tumor with glomeruloid features, with Alcian Blue positive mucinous stromal degeneration in foci of questionable capsular microinvasion. …”
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Psychological Features of 7-8 Grade Students Interaction with Hypertext: A Theoretical and Experimental Study Using an Eye Tracker by N.A. Borisenko, A.A. Ganicheva, K.V. Mironova, S.V. Shishkova

“…</strong> In the process of reading, teenagers used not the F-pattern, but the commitment pattern. This result is largely explained by the specifics of working with educational hypertext, when students are given the instruction to read analytically. …”
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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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Improving cancer detection through computer-aided diagnosis: A comprehensive analysis of nonlinear and texture features in breast thermograms. by Hamed Khodadadi, Shima Nazem

“…The method segments suspicious masses, extracts relevant features, and classifies them as benign or malignant. …”
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Structured-illumination reflectance imaging for the evaluation of microorganism contamination in pork: effects of spectral and imaging features on its prediction performance by Binjing Zhou, Xiaohua Liu, Yan Ge, Kang Tu, Jing Peng, Juan Francisco García-Martín, Jie Wu, Weijie Lan, Leiqing Pan

“…The prediction performances based on different spectrum and the textural features of direct component and amplitude component images demodulated from the SIRI pattern, as well as their data fusion were comprehensively compared. …”
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Image tampering detection using dynamic histogram equalization based LIOP features and novel scaled K-means +  + clustering by Zahid Mehmood, Muhammad Bilal, Asmaa Munshi, Adnan Mustafa Cheema, Junaid Rashid, Jungeun Kim

“…The CMFD approach proposed in this article is based on the dynamic histogram equalization (DHE), local intensity order pattern (LIOP) as a feature descriptor, and a novel scaled K-means +  + (sK-means + +) clustering to detect small regions. …”
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Evaluation of comorbidity burden on disease progression and mortality in patients with interstitial pneumonia with autoimmune features: A retrospective cohort study. by Elena K Joerns, Michelle A Ghebranious, Traci N Adams, Una E Makris

“…<h4>Background</h4>Interstitial pneumonia with autoimmune features (IPAF) is a subset of interstitial lung disease that manifests with features of autoimmunity while not meeting classification criteria for a defined rheumatic disease. …”
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Direction and velocity kinematic features of point-light displays grasping actions are differentially coded within the action observation network by Settimio Ziccarelli, Antonino Errante, Leonardo Fogassi

“…Previous research showed that the action observation network (AON) may encode some action kinematic features. However, our understanding of how direction and velocity are encoded within the AON is still limited. …”
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Impact of tertiary Gleason pattern 5 on prostate cancer aggressiveness: Lessons from a contemporary single institution radical prostatectomy series by Zachary B. Koloff, Daniel A. Hamstra, John T. Wei, Jeffrey S. Montgomery, Scott A. Tomlins, Angela J. Wu, Todd M. Morgan, Javed Siddiqui, Kellie Paich, Arul M. Chinnaiyan, Felix Y. Feng, Alon Z. Weizer, Lakshmi P. Kunju, Brent K. Hollenbeck, David C. Miller, Ganesh S. Palapattu, Rohit Mehra

“…Objective: To better evaluate tertiary Gleason pattern reporting and to evaluate the impact of tertiary Gleason pattern 5 (TP5) on prostate cancer pathological features and biochemical recurrence at our large single institution. …”
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MELAS: clinical features, muscle biopsy and molecular genetics MELAS: manifestações clínicas, biópsia muscular e estudo molecular by Paulo José Lorenzoni, Rosana H. Scola, Cláudia S. Kamoi Kay, Raquel C. Arndt, Aline A. Freund, Isac Bruck, Mara Lúcia S.F. Santos, Lineu C. Werneck

“…METHOD: Ten patients with MELAS were studied with correlation between clinical findings, laboratorial data, electrophysiology, histochemical and molecular features. RESULTS: Blood lactate was increased in eight patients. …”
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