Disseminated intravascular coagulation by Satoshi Gando, Marcel Levi, Cheng-Hock Toh

“…Cell death, damage-associated molecular patterns (including histones), crosstalk between hypoxic inflammation and coagulation, and the serine protease network (comprising coagulation and fibrinolysis, the Kallikrein–Kinin system, and complement pathways) play major roles in DIC pathogenesis. …”
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Quantitative assessment method for firefighting danger based on numerical simulation of forest fire spread in canyon wind fields. by Ao Wang, Chenghu Wang, Guiyun Gao, Ningyu Wu, Haiyan Su

“…Forest firefighting incidents frequently occur in mountainous and canyon regions which are characterized by complex topography, primarily because of variable local wind patterns that create conditions conducive to the spread of forest fires. …”
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Experimental and Computational Study on the Tensile and Flexural Properties of Polylactic Acid filled with Boron Nitride Nanoplatelets by Harishbabu Sundarasetty, Santosh Kumar Sahu

“…This integrated approach underscores the efficacy of BNNP fillers in enhancing the mechanical attributes of PLA, yielding significant perspectives for developing eco-friendly composite materials exhibiting superior performance features. …”
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Comparative Analysis of the Consumer Protection, Considering the Globalisation and Technological Changes, within Member States of the European Union by Iulian Viorel Braşoveanu, Laura Obreja Braşoveanu, Simona Maşcu

“…Recent globalization and technological changes have produced significant changes in consumption patterns, shopping online becoming increasingly more important. …”
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Enhancing Stock Price Forecasting with CNN-BiGRU-Attention: A Case Study on INDY by Madilyn Louisa, Gumgum Darmawan, Bertho Tantular

“…The results showed that the CNN-BiGRU-AM model achieved high accuracy with a Mean Absolute Percentage Error (MAPE) below 3%, indicating its effectiveness in capturing long-term patterns. The CNN helped extract local features and reduce noise, the BiGRU captured bidirectional temporal dependencies, and the Attention Mechanism allocated weights to the most relevant historical information. …”
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Examining the role of semiotics in social media-driven information campaigns by Mayor Inna Gurung, Nitin Agarwal

“…Engagement was measured by likes, while diffusion patterns followed the SEIZ epidemiological model. Findings show that posts featuring SCP symbols consistently received more interaction, even when follower counts were equal. …”
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Signatures of Varying Climate on Geomorphic and Topologic Characteristics of Channel Networks by Aysan H. Bavojdan, Sevil Ranjbar, Dingbao Wang, Arvind Singh

“…Investigating the geomorphic and topologic properties of these networks is crucial for quantifying the roles of processes in creating distinct patterns of channel networks and developing models to predict the network dynamics under changing environment. …”
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Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

“…The proposed hybrid model integrates LSTM to identify temporal features of players’ motion and CNN to recognize spatial patterns across the court. …”
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Rapid change in Chernozem properties during their Holocene evolution: a case study of paleosols buried under kurgans in the pre-Ural steppe, Russia by Olga Khokhlova

“…An extensive chronosequence of Chernozem-type soils developed on loamy sands was studied in the pre-Ural steppe, Russia. …”
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Nutritional Assessment of Patients with Type-2 Diabetes in a Tertiary Level Hospital in a Low-and Middle-income Country by Rama Subba, Asmita Luitel, Rinku Joshi, Bhupal Baniya

“…This study was carried out to understand the dietary patterns of diabetic patients along with other factors including compliance and clinical features so that effective interventions can be taken for proper management of disease. …”
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V-STAR: A Cloud-Based Tool for Satellite Detection and Mapping of Volcanic Thermal Anomalies by Simona Cariello, Arianna Beatrice Malaguti, Claudia Corradino, Ciro Del Negro

“…Through its intuitive interface, V-STAR provides a comprehensive visualization of key volcanic features. The resulting analyses reveal hidden patterns in thermal data, contributing to improved disaster risk reduction strategies associated with volcanic hazards.…”
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Comparative Proteomic and Phosphoproteomic Analyses Reveal Molecular Signatures of Myocardial Infarction and Transverse Aortic Constriction in Aged Mouse Models by Fang Lin, Yue Ding, Xiaoting Liang

“…Understanding the molecular mechanisms underlying hypertension and CHD in aged populations is crucial for developing targeted therapies and improving clinical outcomes. …”
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Short-Term Energy Consumption Forecasting Analysis Using Different Optimization and Activation Functions with Deep Learning Models by Mehmet Tahir Ucar, Asim Kaygusuz

“…Regression methods, machine learning, and deep learning methods are used to learn different patterns from data and develop a consumption prediction model. …”
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Two Novel Multidimensional Data Analysis Approaches Using InSAR Products for Landslide Prone Areas by Hamit Beran Gunce, Bekir Taner San

“…Overall, the integration of InSAR with statistical and multidimensional analysis significantly enhances the detection and interpretation of ground deformation patterns in landslide-prone areas.…”
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Methodological approaches to identifying and mapping fields of specific crops on a basis of high-resolution satellite images using phenological, geographic, and regional statistica... by Alexey Unagaev, Irina Korotkova, Natalia Efremova

“…Currently, methods for mapping agricultural crops have been predominantly developed for a number of the most important and popular crops. …”
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Artificial Intelligence Approach in Hip Prosthesis Identification and Addressing Radiographic Outcome Measures by Omar Musbahi, MSc, ChM, Savvas Hadjixenophontos, MEng, Saran S. Gill, Iris Soteriou, Bsc, Kyriacos Pouris, Bsc, Takuro Ueno, PhD, Justin P. Cobb, MCh

“…Methods: Using a computer vision and pattern recognition algorithm, the femur shaft and prosthesis regions were identified, and their respective angles were extracted for NSA calculation. …”
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Mapping gene associations in human mitochondria using clinical disease phenotypes. by Curt Scharfe, Henry Horng-Shing Lu, Jutta K Neuenburg, Edward A Allen, Guan-Cheng Li, Thomas Klopstock, Tina M Cowan, Gregory M Enns, Ronald W Davis

“…This classification of phenotypic features of each gene allowed for the comparison of diseases between different genes. …”
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Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome by Yifei He, Yoonmi Hong, Ye Wu

“…Except for tracking algorithms, different fiber filtering methods, along with the various biological features themselves, displayed more variable patterns of laterality change. …”
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COGNITIVE MODELING OF KNOWLEDGE MANAGEMENT MECHANISMS IN THE TRAINING OF SPECIALISTS by Liubava Chernova, Lyudmyla Chernova

“…The article also considers the possibility of the main provisions of the theory of knowledge management in the educational process, as improving the quality of training is the goal of any educational system. The article develops a cognitive model of the knowledge management mechanism, on the basis of cognitive analysis revealed useful patterns that reflect the influence of factors of different physical nature on the results of training. …”
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Pure pancreatic hepatoid carcinoma: a surgical case report and literature review by Takahiro Tomino, Mizuki Ninomiya, Rumi Matono, Fumiya Narutomi, Yumi Oshiro, Kenji Watanabe, Daisuke Taniguchi, Sho Nishimura, Yoko Zaitsu, Yuichiro Kajiwara, Tomoyuki Yokota, Kazuhito Minami, Takashi Nishizaki

“…Immunohistochemically, the tumor cells were positive for hepatocyte paraffin 1, and a canalicular pattern was confirmed on the polyclonal carcinoembryonic antigen staining. …”
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