Uranium, vital for nuclear fuel production, holds immense potential in both the nuclear and environmental sectors.Rising demand for uranium is accompanied by dwindling ore reserves, thus impeding the a&d ej-123 advancement of sustainable nuclear energy development.Therefore, it is imperative to extract uranium from seawater and radioactive wastewat
A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning
Knowledge of odor sex shop arles thresholds is very important for the perfume industry.Due to the difficulty associated with measuring odor thresholds, empirical models capable of estimating these values can be an invaluable contribution to the field.This work developed a framework based on scientific machine learning strategies.A transfer learning
ENVIRONMENTAL AND SOCIAL INFORMATION DISCLOSURE QUALITY AND FINANCIAL PERFORMANCE OF LISTED MANUFACTURING COMPANIES IN NIGERIA
The General perception of investors and other stakeholders is that self-developed environmental and social information disclosure (ESID) of companies lack quality required to make informed business decision which may impact company operating cash flow (OCF).Although, poor quality caruso rhodiola ESID often damaged company reputation and cause compe
Identification of robust and interpretable brain signatures of autism and clinical symptom severity using a dynamic time-series deep neural network
Introduction Autism spectrum disorder (ASD) is among the most common and pervasive neurodevelopmental disorders.Yet, click here despite decades of research, the neurobiology of ASD is still poorly understood, as inconsistent findings preclude the identification of robust and interpretable neurobiological markers and predictors of clinical symptoms.
GreenMicro: Identifying Microservices From Use Cases in Greenfield Development
Microservices architecture is a new paradigm for developing a software system as a collection of independent services that communicate via lightweight protocols.In greenfield development, identifying the microservices is not a trivial task, as there is no legacy code lying around and no old development to start with.Thus, identification of microser