Upsurge of glacier-related hazards in High Mountain Asia (HMA) has been evident in recent years due to global warming. While many glacial-related hazards are instantaneous, some large landslides were preceded by slow gravitational deformation, which can be predicted to evade catastrophes. Here, we present robust evidence of historical deformation in 2021 Chamoli rock-ice avalanche of Himalaya using space imaging techniques. Multi-temporal satellite data provide evidence of a precursor event in 2016 and expansion of a linear fracture along joint planes, indicating 2021 rock-ice avalanche is a retrogressive wedge failure. The deformation history shows that the fracture propagated at a velocity of ~0.07 m day until September 2020, and with an accelerated velocity (~0.14 m day on average) lately. Analysis of recent similar cases in HMA supported our inference on global warming-induced glacier retreat and thermomechanical effects in enhancing the weakening of fractured rock masses in tectonically active mountain belts. Recent advances in Earth observation and seismic monitoring system can offer clues to the location and timing of impending catastrophic failures in high mountain regions.
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http://dx.doi.org/10.1016/j.scitotenv.2022.155380 | DOI Listing |
Giant cell arteritis (GCA), a systemic vasculitis affecting large and medium-sized arteries, poses significant diagnostic and management challenges, particularly in preventing irreversible complications like vision loss. Recent advancements in artificial intelligence (AI) technologies, including machine learning (ML) and deep learning (DL), offer promising solutions to enhance diagnostic accuracy and optimize treatment strategies for GCA. This systematic review, conducted according to the PRISMA 2020 guidelines, synthesizes existing literature on AI applications in GCA care, with a focus on diagnostic accuracy, treatment outcomes, and predictive modeling.
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January 2025
Laboratorio de Interacciones Bióticas, Centro de Investigación en Ciencias Biológicas, Universidad Autónoma de Tlaxcala, San Felipe Ixtacuixtla, Tlaxcala, Mexico.
Background: Understanding the diversity and distribution of fungal communities at a regional scale is important since fungi play a crucial role in ecosystem functioning. Our study used environmental metagenomics to determine fungal communities in mountainous forest soils in the central highlands of Mexico.
Methods: We used four different bioinformatic workflows to profile fungal assemblages, .
Sci Rep
January 2025
Department of Biochemistry, Bahauddin Zakariya University, Multan, 66000, Punjab, Pakistan.
Rocky Mountain Spotted Fever, caused by the gram-negative intracellular bacteria Rickettsia rickettsii, is a serious tick-borne infection with a fatality rate of 20-30%, if not treated. Since it is the most serious rickettsial disease in North America, modified prevention and treatment strategies are of critical importance. In order to find new therapeutic targets and create multiepitope vaccines, this study integrated subtractive proteomics with reverse vaccinology.
View Article and Find Full Text PDFEnviron Res
January 2025
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Earth Critical Zone and Flux Research Station of Xing'an Mountains, Chinese Academy of 15 Sciences, Daxing'anling 165200, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 10049, China. Electronic address:
Accurate quantifying of methane (CH) emissions is a critical aspect of current research on regional carbon budgets. However, due to limitations in observational data, research methodologies, and an incomplete understanding of process mechanisms, significant uncertainties persist in the assessment of wetland CH fluxes in China. In this study, we developed a machine learning model by integrating measured CH fluxes with related environmental data to produce a high-resolution (1 km) dataset of CH fluxes from China's wetlands for the period 2000-2020.
View Article and Find Full Text PDFJ Integr Plant Biol
January 2025
Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
The publication of several high-quality genomes has contributed greatly to clarifying the evolution of citrus. However, due to their complex genetic backgrounds, the origins and evolution of many citrus species remain unclear. We assembled de novo the 294-Mbp chromosome-level genome of a more than 200-year-old primitive papeda (DYC002).
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