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Artikel Jurnal
Advancing the hydrogen production economy: A comprehensive review of technologies, sustainability, and future prospects
The transition to a hydrogen-based economy presents a promising solution to the challenges posed by unsustainable energy systems and reliance on fossil fuels. This comprehensive review explores various hydrogen production methods, emphasizing their technological advancements, sustainability…
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Artikel Jurnal
Digital health technologies and inequalities: A scoping review of potential impacts and policy recommendations
Digital health technologies hold promises for reducing health care costs, enhancing access to care, and addressing labor shortages. However, they risk exacerbating inequalities by disproportionately benefitting a subset of the population. Use of digital technologies accelerated during the Covid-19…
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Alveolar fibroblast lineage orchestrates lung inflammation and fibrosis
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Artikel Jurnal
Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications
Abstract The increasing prevalence of Artificial Intelligence (AI) in higher education underscores the necessity to explore its implications on ethical, social, and educational dynamics within the sector. This study aims to comprehensively investigate the impact of AI on higher education in Saudi…
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AI-Assisted Detection of Biomarkers by Sensors and Biosensors for Early Diagnosis and Monitoring
The steady progress in consumer electronics, together with improvement in microflow techniques, nanotechnology, and data processing, has led to implementation of cost-effective, user-friendly portable devices, which play the role of not only gadgets but also diagnostic tools. Moreover, numerous…
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A superlattice interface and S-scheme heterojunction for ultrafast charge separation and transfer in photocatalytic H2 evolution
The rapid recombination of photoinduced charge carriers in semiconductors fundamentally limits their application in photocatalysis. Herein, we report that a superlattice interface and S-scheme heterojunction based on Mn0.5Cd0.5S nanorods can significantly promote ultrafast charge separation and…
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Update on Diagnosis and Management of Kawasaki Disease: A Scientific Statement From the American Heart Association
Kawasaki disease (KD), an acute self-limited febrile illness that primarily affects children
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Accurate RNA 3D structure prediction using a language model-based deep learning approach
Accurate prediction of RNA three-dimensional (3D) structures remains an unsolved challenge. Determining RNA 3D structures is crucial for understanding their functions and informing RNA-targeting drug development and synthetic biology design. The structural flexibility of RNA, which leads to the…
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A 10-micrometer-thick nanomesh-reinforced gas-permeable hydrogel skin sensor for long-term electrophysiological monitoring
Hydrogel-enabled skin bioelectronics that can continuously monitor health for extended periods is crucial for early disease detection and treatment. However, it is challenging to engineer ultrathin gas-permeable hydrogel sensors that can self-adhere to the human skin for long-term daily use (>1…
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A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision
Machine vision, an interdisciplinary field that aims to replicate human visual perception in computers, has experienced rapid progress and significant contributions. This paper traces the origins of machine vision, from early image processing algorithms to its convergence with computer science…
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Demystification and Actualisation of Data Saturation in Qualitative Research Through Thematic Analysis
The concept of saturation in qualitative research is a widely debated topic. Saturation refers to the point at which no new data or themes are emerging from the data set, which indicates that the data have been fully explored. It is considered an important concept as it helps to ensure that the…
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Diabetes mellitus—Progress and opportunities in the evolving epidemic
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An Overview of the Recent Advances in Antimicrobial Resistance
Antimicrobial resistance (AMR), frequently considered a major global public health threat, requires a comprehensive understanding of its emergence, mechanisms, advances, and implications. AMR's epidemiological landscape is characterized by its widespread prevalence and constantly evolving patterns…
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Implementation of the lake parameterisation scheme FLake into the numerical weather prediction model COSMO
The application of the lake model FLake to represent the effect of lakes in numerical weather prediction (NWP) and climate models is discussed.As a lake parameterisation scheme FLake is implemented into the limited-area NWP model COSMO.Results from a numerical experiment with the coupled…
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Urban heat mitigation by green and blue infrastructure: Drivers, effectiveness, and future needs
The combination of urbanization and global warming leads to urban overheating and compounds the frequency and intensity of extreme heat events due to climate change. Yet, the risk of urban overheating can be mitigated by urban green-blue-grey infrastructure (GBGI), such as parks, wetlands, and…
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KAT8-catalyzed lactylation promotes eEF1A2-mediated protein synthesis and colorectal carcinogenesis
Aberrant lysine lactylation (Kla) is associated with various diseases which are caused by excessive glycolysis metabolism. However, the regulatory molecules and downstream protein targets of Kla remain largely unclear. Here, we observed a global Kla abundance profile in colorectal cancer (CRC) that…
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Cognition and Memory after Covid-19 in a Large Community Sample
BACKGROUND: Cognitive symptoms after coronavirus disease 2019 (Covid-19), the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), are well-recognized. Whether objectively measurable cognitive deficits exist and how long they persist are unclear. METHODS: We invited…
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Artikel Jurnal
Do you create your content yourself? Using generative artificial intelligence for social media content creation diminishes perceived brand authenticity
Recent studies have demonstrated the potential of generative artificial intelligence (GenAI) in enhancing marketing content. However, its impact on consumer behavior has remained empirically untested. In response to social media platforms mandating the disclosure of GenAI content, we investigate…
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