E3S Web of Conferences最新文献

Tuberculosis (TB) stigma is one barrier to TB testing, treatment uptake and treatment completion. Therefore, stigma measurement must be approached through rigorous scientific methodology in order to accurately and reliably estimate the impact of TB stigma on treatment outcomes. The aim of this systematic review is to evaluate the methods and instruments used to measure TB stigma and interrogate strategies used to culturally validate measures of TB stigma in global research. Two reviewers used the PRISMA method to extract and analyze the existing body of literature on TB stigma in Sub-Saharan Africa. A thorough search was performed using three data bases generating 2,302 independent studies. After systematic screening, this review includes 28 studies. Of those studies, 13 used a psychometrically validated instrument while 15 used informal questionnaires or proxy variables to measure stigma. Psychometric appraisal was limited due to the number of studies that measured stigma using unvalidated questionnaires or proxy variables. The Patient and Community Perceptions of TB scales validated by Van Rie et al. were the most commonly used instruments to measure TB stigma; additionally, many instruments were not culturally or linguistically validated in Sub-Saharan Africa. Our appraisal emphasizes the need for reliable and valid instruments to measure TB stigma in low- and middle-income countries most affected by TB.

Small number of clusters combined with cluster level heterogeneity poses a great challenge for the data analysis. We have published a weighted Jackknife approach to address this issue applying weighted cluster means as the basic estimators. The current study proposes a new version of the weighted delete-one-cluster Jackknife analytic framework, which employs Ordinary Least Squares or Generalized Least Squares estimators as the fundamentals. Algorithms for computing estimated variances of the study estimators have also been derived. Wald test statistics can be further obtained, and the statistical comparison in the outcome means of two conditions is determined using the cluster permutation procedure. The simulation studies show that the proposed framework produces estimates with higher precision and improved power for statistical hypothesis testing compared to other methods.

Introduction: We aimed to determine the effect of regular exercise on aerobic capacity, strength values, and plasma levels of Nerve Growth Factor (NGF) and Neurotrophin-3 (NT-3) in patients with multiple sclerosis (MS) and investigate its effects on MS symptoms including cognitive impairment, fatigue, balance disorders, and quality of life (QOL).

Methods: Forty-three relapsing-remitting MS patients with an Expanded Disability Status Scale (EDSS) score of 4 or less participated in the study. Participants were divided into three groups: aerobic group, strength group, and control group. The patients in the exercise groups had exercise programs three days a week for three months. Aerobic capacity (maximum VO₂ value), strength measurements, and balance tests were done, and NGF and NT-3 plasma levels were analyzed in all participants at the beginning and end of the study. Multiple Sclerosis Quality of Life-54 (MSQoL-54), fatigue impact scale, Pittsburgh Sleep Quality Index (PSQI) and, to evaluate cognitive functions, BICAMS scale were applied.

Results: Aerobic exercise and strength exercise groups had significant increases in VO₂ max, back and leg strength values, and NGF and NT-3 plasma levels (p<0.01). Cognitive functions, fatigue, sleep quality, and QOL significantly improved in the exercise groups (p<0.01). The balance values were also significantly improved in the aerobic group (p<0.01), and althoughimprovement although improvement was observed in the strength group, it was not statistically significant (p>0.05).

Conclusions: Our study provides evidence that regular exercise improves quality of life, cognitive functions, fatigue, and sleep quality in MS patients. The levels of NGF and NT-3, which are important factors in neural regeneration and remyelination, were increased post exercise. It can be suggested that exercise may have a potential effect on MS and slow down the disease process with these results.

Military AI optimists predict future AI assisting or making command decisions. We instead argue that, at a fundamental level, these predictions are dangerously wrong. The nature of war demands decisions based on abductive logic, whilst machine learning (or 'narrow AI') relies on inductive logic. The two forms of logic are not interchangeable, and therefore AI's limited utility in command - both tactical and strategic - is not something that can be solved by more data or more computing power. Many defence and government leaders are therefore proceeding with a false view of the nature of AI and of war itself.

Enzymatic biotransformation of xenobiotics by the human microbiota mediates diet-drug-microbe-host interactions and affects human health. Most research on xenobiotics has focused on the gut microbiota while neglecting other body sites, yet over two-thirds of pharmaceuticals are primarily excreted in urine. As a result, the urinary microbiota is exposed to many xenobiotics in much higher concentrations than in the gut. Microbial xenobiotic biocatalysis in the bladder has implications for urinary tract infections and the emergence of antibiotic resistance. However, we have limited knowledge of biotransformations catalyzed by the urinary microbiota. In this perspective, we investigated differences in physicochemical conditions and microbial community composition between the gut and urinary tract. We used a comparative enzyme class mining approach to profile the distribution of xenobiotic-transforming enzyme homologs in genomes of urinary bacteria. Our analysis revealed a discontinuous distribution of enzyme classes even among closely related organisms. We detected diverse amidase homologs involved in pharmaceutical and dietary additive biotransformation pathways, pinpointing microbial candidates to validate for their involvement in xenobiotic transformations in urine. Overall, we highlight the biocatalytic potential of urinary tract bacteria as a lens to study how the human microbiota may respond and adapt to xenobiotic inputs.

Purpose  Ophthalmology residency training heavily relies on visual and pattern recognition-based learning. In parallel with traditional reference texts, online internet search via Google Image Search (GIS) is commonly used and offers an accessible fund of reference images for ophthalmology trainees seeking rapid exposure to images of retinal pathology. However, the accuracy and quality of this tool within this context is unknown. We aim to evaluate the accuracy and quality of GIS images of selected retinal pathologies. Methods  A cross-sectional study was performed of GIS of 15 common and 15 rare retinal diseases drawn from the American Academy of Ophthalmology residency textbook series. A total of 300 evaluable image results were assessed for accuracy of images and image source accountability in consultation with a vitreoretinal surgeon. Results  A total of 377 images were reviewed with 77 excluded prior to final analysis. A total of 288 (96%) search results accurately portrayed the retinal disease being searched, whereas 12 (4%) were of an erroneous diagnosis. More images of common retinal diseases were from patient education Web sites than were images of rare diseases ( p  < 0.01). Significantly more images of rare retinal diseases were found in peer-reviewed sources ( p  = 0.01). Conclusions  GIS search results yielded a modest level of accuracy for the purposes of ophthalmic education. Despite the ease and rapidity of accessing multimodal retinal imaging examples, this tool may best be suited as a supplementary resource for learning among residents due to limited accuracy, lack of sufficient supporting information, and the source Web site's focus on patient education.