Integrated Geospatial Characterization of Geomorphological and Structural Features in Parts of Enugu, Southeastern Nigeria: Implications for Regional Geology and Land Use by Nkiru Nwokeabia Charity, Ifeanyi Odoh Benard, Arinzechukwu Odinye, Callista Igwebudu Nwanneka, Peter Ezealaji Ifeanyi

“…This study explores the spatial distribution of land cover and geomorphological features in Enugu East, North, and South LGAs, using Land Use/Land Cover (LULC) classification, slope analysis, drainage density, and lineament density. …”
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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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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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Uses of the Light Verb in Chinese EFL Learners’ and English L1 Undergraduates’ Writing: A Corpus-Pattern-Analysis-Based Investigation by Qin Luo, Wulin Ma

“…In addition, Chinese undergraduates are more likely than L1 undergraduates to overuse high-frequency patterns and semantic roles but underuse low-frequency ones, which may result in a lack of diversity in the range of patterns and complements. …”
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Solar and Wind 24 H Sequenced Prediction Using L-Transform Component and Deep LSTM Learning in Representation of Spatial Pattern Correlation by Ladislav Zjavka

“…Node-by-node feature selection and dynamical PDE representation of DfL are evaluated along with long-short-term memory (LSTM) recurrent processing of deep learning (DL), capturing complex spatio-temporal patterns. …”
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Deciphering a profiling based on multiple post-translational modifications functionally associated regulatory patterns and therapeutic opportunities in human hepatocellular carcino... by Yuanxiang Lao, Yirong Jin, Songfeng Wu, Ting Fang, Qiang Wang, Longqin Sun, Beicheng Sun

“…Conclusion Together, this proteome profiling represents a comprehensive study detailing regulatory patterns based on multiple PTMs of HCC.…”
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Intrauterine growth patterns in rural Ethiopia compared with WHO and INTERGROWTH-21st growth standards: A community-based longitudinal study. by Meselech Roro, Wakgari Deressa, Bernt Lindtjørn

“…Adequate intrauterine growth (IUG) is a basic feature of a healthy pregnancy. The aim of our study was to assess IUG patterns in a rural and drought-affected population in the Rift Valley area of the Adami Tullu district in Oromia, Ethiopia.…”
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Identifying the place without text annotations: an assembled neural network framework for content-based raster map retrieval with cartographical morphological pattern by Xiran Zhou, Yi Wen, Zhenfeng Shao, Wenwen Li, Guochao Hu, Xiao Xie, Ruoran Li, Qunshan Zhao

“…The experiments prove that the feature maps generated from deep learning models can represent the shape characteristics of the target place, and our proposed integrated framework enables effective volunteered map retrieval based on cartographical morphological patterns. …”
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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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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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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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Quantifying the time-varying period and time lag features of groundwater response: Dynamic impacts of precipitation-fed groundwater recharge by Xiaoran Yin, Longcang Shu, Zhe Wang, Yuxi Li, Long Zhou, Chao Lv, Shuang Li, Bo Liu, Chengpeng Lu

“…Conventional methods relying on stationary hydrological assumptions fail to capture the time-varying and spatially heterogeneous features of groundwater responses, potentially leading to mechanistic misinterpretations. …”
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Identifying patterns of high intraoperative blood pressure variability in noncardiac surgery using explainable machine learning: a retrospective cohort study by Zheng Zhang, Jian Wu, Yi Duan, Linwei Liu, Yaru Liu, Jinghan Wang, Li Xiao, Zhifeng Gao

“…SHapley Additive exPlanations (SHAP) values were used to interpret model outputs and assess feature importance.Results Among 47,520 noncardiac surgeries, 1,996 (4.2%) were classified as HIBPV. …”
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