A novel deep neural network structure for software fault prediction.

Software fault prediction is crucial to compute the potential occurrence of faults within the software components, before code testing or execution. Machine learning, especially deep learning, has been applied to predict faults, but both encounter challenges such as insufficient accuracy, imbalanced data, overfitting, and complex structure. Moreover, deep learning yields superior predictions when working with large datasets.

Effect of antibiotic growth promoters (AGPs) on feed conversion ratio (FCR) of broiler chickens: A meta-analysis.

Antibiotics have been used for a long time as growth promoters in the poultry industry for growth and health benefits. However, recent studies reflected little, no, or negative impacts of using antibiotics for growth promotion purposes. This study was designed to examine the overall effect of antibiotic supplementation on the feed conversion ratio (FCR) in broiler chickens as a performance indicator and assess different covariates for explaining heterogeneity in response to the use of antibiotics as growth promoters.

Altered anthropometrics and HA1c levels, but not dyslipidemia, are associated with elevated hs-CRP levels in middle-aged adults: A population-based analysis.

Population-based studies of cardiovascular disease markers, such as hs-CRP, are crucial. However, studies exploring the effect of metabolic indices on hs-CRP while controlling for confounding variables adequately in middle-aged adults are limited. Using Wave 5 data from the National Longitudinal Study of Adolescent Health (Add Health), we examined the impact of various metabolic indices on hs-CRP in adults aged 32-42, controlling for eight allergic and infectious factors that may elevate hs-CRP levels.

The prevalence of depression, anxiety, and sleep disorder among dental students: A systematic review and meta-analysis.

Background: Despite the increasing concern, the literature lacks a comprehensive synthesis of the prevalence of depression, anxiety, and sleep disturbances among dental students.

Methods: We conducted a systematic review following Cochrane Manual for Systematic Reviews of Interventions and PRISMA guidelines. Our search, spanning databases like Medline, Web of Science, and Scopus, covered data until June 5, 2023.

A systematic review of peptide nucleic acids (PNAs) with antibacterial activities: Efficacy, potential and challenges.

Peptide nucleic acids (PNAs) are synthetic molecules that are like DNA/RNA, but with different building blocks. PNAs target and bind to mRNAs and disrupt the function of a targeted gene, hence they have been studied as potential antibacterials. The aim of this systematic review was to provide an in-depth analysis of the current status of PNAs as antibacterial agents, define the characteristics of the effective PNA constructs, and address the gap in advancing PNAs to become clinically competent agents.