ABSTRACT Objective: The aim of the present literature review was to compile data on the frequency of morphological and attachment types of the upper and lower labial frenum in different populations and investigate the association between the attachment level of 6.23 the upper labial frenum and the occurrence of diastemas.Methods: Searches were cond
Analyzing the Performance of Double Spiral Tube Ground Heat Exchangers in a Zero-Energy Building Using Measurement Data
A ground-source heat pump (GSHP) system is a renewable energy technology that effectively reduces greenhouse gas emissions and consequently mitigates the progression of global warming.The thermal Sunglasses efficiency of ground heat exchangers (GHEs) is a critical component in the GSHP system that must be accurately estimated for its long-term oper
A descriptive assessment of a broad range of food-related parenting practices in a diverse cohort of parents of preschoolers using the novel Real-Time Parent Feeding Practices Survey
Abstract Background Much of the research to-date on food parenting has evaluated typical use of various parent feeding practices via questionnaire.The Real-Time Parent Feeding Practices Measurement survey was developed for use within an Ecological Momentary Assessment (EMA) protocol to capture momentary use of parent feeding practices in real-time.
Review of deep learning approaches in solving rock fragmentation problems
One of the most significant challenges of the mining industry is resource yield estimation from visual data.An example would be identification of the rock chunk distribution parameters in an open pit.Solution of this task allows one to estimate blasting quality and other parameters of open-pit mining.This task is of the utmost importance, as it is
WaSP-ECG: A Wave Segmentation Pretraining Toolkit for Electrocardiogram Analysis
IntroductionRepresentation learning allows artificial intelligence (AI) models to learn useful features from large, unlabelled datasets.This can reduce the need for labelled data across a range of downstream tasks.It was hypothesised that wave segmentation would be a useful form of electrocardiogram (ECG) representation learning.In addition to redu