Navigation has become an Cretors Parts indispensable technology, especially when exploring unfamiliar environments.However, the existing shortest route-based navigation systems only focus on route effectiveness, which may deprive users of the opportunity to explore new areas.Hence, there is a need for a new navigation service that enriches our walk
The M domain in UNC-13 regulates the probability of neurotransmitter release
Summary: Synapses exhibit multiple forms of short-term plasticities, which have been attributed to the heterogeneity of neurotransmitter release probability.However, the molecular mechanisms that underlie the differential release states remain to be fully elucidated.The Unc-13 proteins appear to have key roles Embellishments in synaptic function th
Contradictions on Age of Guardianship Provisions in Marriage Law and the Compilation of Islamic Law and Its Application in Religious Courts
A child in general is someone who is not yet an adult or not married, and it is not possible for a child who is under this age to carry out legal actions by himself.For all legal actions, a child is under the authority of a guardian.The legal practice for the determination of legal guardianship for people who are Muslims according to the rules of l
A Neonicotinoid Insecticide at a Rate Found in Nectar Reduces Longevity but Not Oogenesis in Monarch Butterflies, Danaus plexippus (L.). (Lepidoptera: Nymphalidae)
The monarch butterfly in North America has suffered a serious population decline since the mid-1990s.The introduction and widespread use of neonicotinoid insecticides during the same time period has been suggested as a potential driver of this decline but no studies have looked at the impact of these insecticides on adult monarchs.A brief laborator
Hierarchy-Based File Fragment Classification
File fragment classification is an essential problem in digital forensics.Although several attempts had been made to solve this challenging problem, a general solution has not been found.In this work, we propose a hierarchical machine-learning-based approach with optimized support vector machines (SVM) as the base classifiers for file fragment clas