DISTRIBUTED RANDOM BEACON FOR BLOCKCHAIN BASED ON SHARE RECOVERY THRESHOLD SIGNATURE


Mutational analysis of epidermolysis bullosa in Taiwan by whole-exome sequencing complemented by RNA sequencing: a series of 77 patients

Abstract Background Epidermolysis bullosa (EB) is a heterogeneous group of hereditary skin diseases characterized by skin fragility.Primary data on Taiwanese population remain scarce.Methods We gathered clinical information from EB patients at National Cheng Kung University Hospital from Oversized Chair January, 2012, to June, 2021.Diagnostic tests

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Medhårs och mothårs

When doing cultural history research, the researcher can come across already established opinions of what the history is in a field.Aitologies, lists of heroes and masters, turning point anecdotes and written histories are present as more or less taken for granted within a community.This is a convenient starting-point and background material for a

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Unraveling the relationship between key aroma components and sensory properties of fragrant peanut oils based on flavoromics and machine learning

Key aroma components of 33 fragrant peanut oils with different aroma types were screened by combined using Slicing and Carving Knives flavoromics and machine learning.A total of 108 volatile compounds were identified and 100 kinds of them were accurately quantified, and 38 compounds out of them were with odorant activity value ≥1.The 33 peanut oi

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Arthropod-based biotic integrity indices: A novel tool for evaluating the ecological condition of native forests in the Azores archipelago

Island ecosystems are experiencing a significant decline in biodiversity, with forest biodiversity being particularly affected by several biodiversity erosion drivers.This alarming situation highlights the urgent need for conservation managers to develop more accurate and efficient tools to assess and monitor the quality status of sites.To address

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