Abstract Background Pregnancy in Type 1 diabetic patients is a precarious condition, both for mother and fetus with increased the risk of prematurity and, immediately after delivery with risk of respiratory distress syndrome and hypoglycaemia in newborns.A strict control and monitoring of diabetes throughout pregnancy is important in reducing the i
Management of Chronic Hyperplastic Pulpitis in Mandibular Molars of Middle Aged Adults- A Multidisciplinary Approach
The molar tooth of children and young adults is a common site for chronic hyperplastic pulpitis (pulp polyp).It rarely occurs in middle aged adults.This condition is usually characterized by extensive involvement of the pulp, dictating the extraction of involved tooth.Extraction of permanent molars can lead to transient or permanent malocclusion, a
Prediction of Large Solar Flares Based on SHARP and High-energy-density Magnetic Field Parameters
The existing flare prediction primarily relies on photospheric magnetic field parameters from the entire active region (AR), such as Space-Weather HMI Activity Region Patches (SHARP) parameters.However, these parameters may not capture the details of the AR evolution preceding flares.The magnetic structure within the core area of an AR is essential
Effectiveness of orofacial myofunctional therapy in orthodontic patients: A systematic review
OBJECTIVE: The aim of the present systematic review was to determine the existence of scientific evidence demonstrating the Scale effectiveness of orofacial myofunctional therapy (OMT) as an adjuvant to orthodontic treatment in individuals with orofacial disorders.A further aim was to assess the methodological quality of the studies included in the
A Novel Fault Diagnosis of Induction Motor by Using Various Soft Computation Techniques: BESO-RDFA
This paper presents a Scale hybrid prediction technique for fault detection of induction machines.The established hybrid forecast scheme signifies the combined execution of Bald-Eagle- Search-Optimization (BESO) and Random-Decision-Forest-Algorithm (RDFA), called as BESO-RDFA prediction scheme.This proposed technique is used to predict the fault wi