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Early esophageal cancer with mucosal bridging in the resting room: A case report.

World J Gastrointest Endosc

January 2025

Department of Gastroenterology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, Anhui Province, China.

Background: Patients diagnosed with esophageal mucosal bridges often experience symptoms such as chest pain and dysphagia, which pose considerable challenges for endoscopic surgical interventions.

Case Summary: We present a case involving early-stage esophageal cancer discovered in a resting room, notable for the rare manifestation of esophageal mucosal bridging. Following a comprehensive multidisciplinary discussion and the development of a treatment strategy, we proceeded with endoscopic submucosal dissection for the patient.

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Detecting anomalies in smart wearables for hypertension: a deep learning mechanism.

Front Public Health

January 2025

Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia.

Introduction: The growing demand for real-time, affordable, and accessible healthcare has underscored the need for advanced technologies that can provide timely health monitoring. One such area is predicting arterial blood pressure (BP) using non-invasive methods, which is crucial for managing cardiovascular diseases. This research aims to address the limitations of current healthcare systems, particularly in remote areas, by leveraging deep learning techniques in Smart Health Monitoring (SHM).

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Introduction: Cyber situational awareness is critical for detecting and mitigating cybersecurity threats in real-time. This study introduces a comprehensive methodology that integrates the Isolation Forest and autoencoder algorithms, Structured Threat Information Expression (STIX) implementation, and ontology development to enhance cybersecurity threat detection and intelligence. The Isolation Forest algorithm excels in anomaly detection in high-dimensional datasets, while autoencoders provide nonlinear detection capabilities and adaptive feature learning.

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Low fracture toughness, low-temperature degradation (LTD) susceptibility, and inadequate soft tissue integration greatly limit the application of zirconia ceramic abutment. Integrating the "surface" of hard all-ceramic materials into the gingival soft tissue and simultaneously promoting the "inner" LTD resistance and fracture toughness is challenging. Composite ceramics are effective in improving the comprehensive properties of materials.

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Background: Laser therapy has emerged as an innovative approach for managing various nail conditions, offering precise targeting, minimal invasiveness, and favorable safety profiles. This review analyzes the literature on laser therapy for nail indications, encompassing onychomycosis, nail psoriasis, nail warts, ingrown toenails, onychodystrophy, nail pigmentation disorders, and nail tumors.

Methods: PubMed and Google Scholar databases were searched to identify articles on laser therapy using specific key terms related to nail conditions (e.

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