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Deep learning-based discovery of compounds for blood pressure lowering effects

Health risks from heavy metals in cosmetic products available in the online consumer market

Titanium nitride sensor for selective NO2 detection

Time-series single-cell transcriptomic profiling of luteal-phase endometrium uncovers dynamic characteristics and its dysregulation in recurrent implantation failures

Rifampicin and isoniazid resistance not promote fluoroquinolone resistance in Mycobacterium smegmatis

Background The emergence of drug-resistant Tuberculosis (TB) has made treatment challenging. Although fluoroquinolones (FQs) are used as key drugs in the treatment of multidrug-resistant tuberculosis (MDR-TB), the problem of FQs resistance is becoming increasingly serious. Rifampicin (RIF) resistance is considered a risk factor for FQs resistance. The objective of this study was to investigate the impact of RIF and isoniazid (INH) resistance on the FQs resistance in vitro experiment. Methods FQs resistant strains were selected in vitro from RIF and/or INH resistant Mycobacterium smegmatis (M.sm). The sequencing of the gyrA gene, and the minimum inhibitory concentration (MIC) of FQs (ciprofloxacin, levofloxacin, moxifloxacin and gatifloxacin) were performed for FQs-resistant strains. Results A total of 222 FQs-resistant M.sm strains were selected, all of which had the gyrA mutation. Seven gyrA mutations were detected, with mutations at loci 90 and 94 being the most common. There were no differences in FQs resistance developed from RIF and/or INH resistant M.sm. There was a significant difference in the MIC of the gyrA mutant types to FQs. The highest resistance to FQs was observed in the Gly88Cys mutant strains. M.sm with the identical gyrA mutation showed the highest resistance to ciprofloxacin and relatively low resistance to gatifloxacin and moxifloxacin. Conclusions In this study, we found no evidence that RIF and/or INH resistance directly affects FQs resistance in M.sm in vitro experiments. Resistance profiles of different gryA mutations to the four FQs drugs were also presented. These findings provide a more comprehensive understanding of FQs resistance.

Co-speech gestures influence the magnitude and stability of articulatory movements: evidence for coupling-based enhancement

Exposure to PM2.5 and its components leads to obesity: role of socioeconomic status

Improving the technical and operational characteristics of the railway carriage

Growing meat on autoclaved vegetables with biomimetic stiffness and micro-patterns

Cell-free biodegradable electroactive scaffold for urinary bladder tissue regeneration

Association between composite dietary antioxidant indices and anemia: NHANES 2003–2018

Background There is increasing acknowledgment of the potential role that diet rich in antioxidants may play in the prevention of anemia. As a significant indicator of antioxidant-rich diet, the relationship between the composite dietary antioxidant index (CDAI) and anemia has not been extensively studied. Therefore, this study aims to explore the association between CDAI and anemia. Methods Utilizing datas from the 2003–2018 National Health and Nutrition Examination Survey (NHANES) database. The CDAI was calculated using six dietary antioxidants, based on two 24-hour dietary recall interviews, serving as comprehensive measure of the intake of these antioxidants. Weighted multivariable logistic regression and restricted cubic spline (RCS) analysis was conducted to investigate the association between CDAI and anemia. Furthermore, subgroup analyses were performed to enhance datas reliability. Results A total of 33914 participants were included in the study, among which 3,416 (10.07%) were diagnosed with anemia. The unadjusted model showed negative association between CDAI and anemia (odds ratio [OR]: 0.94; 95% confidence interval [95%CI]: 0.93–0.96; P < 0.001). After adjusting for all covariates, with each increase in CDAI level linked to 3% lower risk of anemia (OR: 0.97; 95%CI: 0.95–0.98; P < 0.001). Moreover, when CDAI was categorized into quartiles, the observed trend persisted (P < 0.001). The RCS analysis revealed linear negative relationship between CDAI and anemia (P for nonlinearity = 0.619). Except for sex, smoking, diabetes and hypertension, no statistically significant interactions were found in any subgroup analysis (P < 0.05 for interaction). Conclusion Our findings suggest that CDAI levels are inversely related to the prevalence of anemia. Consequently, monitoring individuals with low CDAI scores may facilitate the timely identification of anemia and enhance clinical decision-making.

The revised colorectal cancer screening guideline and screening burden at community health centers

Local corner smoothing based on deep learning for CNC machine tools

Computational insights into spin-polarized density functional theory applied to actinide-based perovskites XBkO₃ (X = Sr, Ra, Pb)

A filter inspired by deep-sea glass sponges for oil cleanup under turbulent flow

Integrating electronic health records and GWAS summary statistics to predict the progression of autoimmune diseases from preclinical stages

Trade deregulation and fiscal revenue in selected Pacific Island countries

This paper examines the revenue implications of trade deregulation in a panel of Pacific Island countries from 2010 to 2021. First, we undertake a cross-country analysis of tax revenue, trade, and tax structure. Secondly, we empirically analyze the effect of trade deregulation on trade tax and overall government tax revenue. We find that as the countries have become more deregulated over the decade, the trade tax revenues and direct income tax revenues have declined whereas domestic indirect tax revenues have increased. The empirical estimation reveals the potential Laffer effect for trade tax revenues with respect to trade openness. The effect of regional trade agreements also shows some support for trade tax revenues. Further, the external public debt has a significant positive effect on aggregate tax revenues, while foreign aid has been significant in explaining the decline in both aggregate tax revenues as well as trade tax revenues in the selected Pacific Island countries.

Method for long-term room temperature storage of mouse freeze-dried sperm

DSIA U-Net: deep shallow interaction with attention mechanism UNet for remote sensing satellite images

AI-based visualization of loose connective tissue as a dissectable layer in gastrointestinal surgery

AbstractWe aimed to develop an AI model that recognizes and displays loose connective tissue as a dissectable layer in real-time during gastrointestinal surgery and to evaluate its performance, including feasibility for clinical application. Training data were created under the supervision of gastrointestinal surgeons. Test images and videos were randomly sampled and model performance was evaluated visually by 10 external gastrointestinal surgeons. The mean Dice coefficient of the 50 images was 0.46. The AI model could detect at least 75% of the loose connective tissue in 91.8% of the images (459/500 responses). False positives were found for 52.6% of the images, but most were not judged significant enough to affect surgical judgment. When comparing the surgeon’s annotation with the AI prediction image, 5 surgeons judged the AI image was closer to their own recognition. When viewing the AI video and raw video side-by-side, surgeons judged that in 99% of the AI videos, visualization was improved and stress levels were acceptable when viewing the AI prediction display. The AI model developed demonstrated performance at a level approaching that of a gastrointestinal surgeon. Such visualization of a safe dissectable layer may help to reduce intraoperative recognition errors and surgical complications.