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Background: The therapeutic armamentarium for heart failure with preserved ejection fraction (HFpEF) remains notably constrained. A factor contributing to this problem could be the scarcity of in vitro models for HFpEF, which hinders progress in developing new therapeutic strategies. Here, we aimed at developing a novel, comorbidity-inspired, human, in vitro model for HFpEF.

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Introduction: In the rapidly advancing field of 'omics research, there is an increasing demand for sophisticated bioinformatic tools to enable efficient and consistent data analysis. As biological datasets, particularly metabolomics, become larger and more complex, innovative strategies are essential for deciphering the intricate molecular and cellular networks.

Methods: We introduce a pioneering analytical approach that combines Principal Component Analysis (PCA) with Graphical Lasso (GLASSO).

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Challenges in Rehabilitation of a Tetanus Patient With Severe Complications.

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December 2024

Department of Rehabilitation Medicine, School of Medicine, Showa University, Tokyo, JPN.

Tetanus is a rare but life-threatening neurological disorder caused by neurotoxins produced by . Although mortality rates have significantly decreased with modern intensive care, severe cases remain challenging due to prolonged Intensive Care Unit (ICU) stays, complications, and rehabilitation barriers. We report the case of an 81-year-old male with a history of hypertension and femoral neck fracture who developed severe tetanus following a contaminated forehead laceration.

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Reverse Hill-Sachs lesions (RHSL) are common complications associated with posterior shoulder dislocations and represent a significant challenge for preserving joint stability and function. If untreated, these compression fractures of the anteromedial humeral head can compromise the integrity of the joint, predisposing patients to recurrent instability and arthropathy. While various treatment modalities exist, achieving an anatomic reduction of the defect while preserving the articular cartilage remains a desirable outcome, particularly in acute settings.

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Urban sensing in the era of large language models.

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January 2025

Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China.

Urban sensing has become increasingly important as cities evolve into the centers of human activities. Large language models (LLMs) offer new opportunities for urban sensing based on commonsense and worldview that emerged through their language-centric framework. This paper illustrates the transformative impact of LLMs, particularly in the potential of advancing next-generation urban sensing for exploring urban mechanisms.

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