Recent studies uncover the lack of symmetry in COVID-19-related economic shock distributions among households.Thus, questions arise about veuve ambal rose the appropriateness of diverse risk-coping mechanisms by households.We add to this strand of research by focusing on households running a business.In particular, we analyze the role of basic lega
A Multi-Criteria Decision Intelligence Framework to Predict Fire Danger Ratings in Underground Engineering Structures
A wide variety of natural catastrophes are induced by coal mining, with fire hazard being one of the most significant threats to underground engineering structures.In recent years, there has been an jerome brown jersey alarming rise in mine fire accidents due to the abundance of coal deposits around the world.Underground fires and explosions have c
Longtime evolution and stationary response of a stochastic tumor-immune system with resting T cells
In this paper, we take the resting T cells into account and interpret the progression and regression of tumors by a predator-prey like tumor-immune system.First, we construct an appropriate Lyapunov function to prove the existence and uniqueness of the global positive solution to the system.Then, by utilizing the stochastic comparison theorem, we p
Improved Active and Reactive Energy Forecasting Using a Stacking Ensemble Approach: Steel Industry Case Study
The prevalence of substantial inductive/capacitive loads within the industrial sectors induces variations in reactive energy levels.The ilootpaperie imbalance between active and reactive energy within the network leads to heightened losses, diminished network efficiency, and an associated escalation in operating costs.Therefore, the forecasting of
PHARAOH: A collaborative crowdsourcing platform for phenotyping and regional analysis of histology
Abstract Deep learning has proven capable click here of automating key aspects of histopathologic analysis.However, its context-specific nature and continued reliance on large expert-annotated training datasets hinders the development of a critical mass of applications to garner widespread adoption in clinical/research workflows.Here, we present an