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Analyzing the influence of the bed allocation and utilization efficiency in healthcare institutions on the isolation proportion of Multidrug-resistant organisms (MDROs) to provide data to support prevention and control of MDROs. In this study, the provincial panel data from 2014 to 2020 in China on health resource indicators, including the number of beds per 1,000 population, hospital bed utilization rate, and average hospital stay from 2014 to 2020 in China were used to analyze the relationship between bed allocation or utilization efficiency and MDROs by the panel data quantile regression model. It was shown that the number of beds per 1,000 population had a negative effect on the isolation proportion of methicillin-resistant Staphylococcus aureus, vancomycin-resistant Enterococcus faecalis, vancomycin-resistant Enterococcus faecium, penicillin-resistant Streptococcus pneumoniae, methicillin-resistant coagulase-negative Staphylococcus, and cefotaxime or ceftriaxone resistant Escherichia coli (regression coefficient < 0, P < 0.05). The utilization rate of hospital bed had a positive effect on the isolation proportion of methicillin-resistant Staphylococcus aureus, methicillin-resistant coagulase-negative Staphylococcus, vancomycin-resistant Enterococcus faecium, penicillin-resistant Streptococcus pneumoniae, cefotaxime or ceftriaxone resistant Escherichia coli, carbapenem-resistant Escherichia coli, cefotaxime or ceftriaxone resistant Klebsiella pneumoniae, carbapenem-resistant Klebsiella pneumoniae, carbapenem-resistant Pseudomonas aeruginosa, and carbapenem-resistant Acinetobacter baumannii (regression coefficient > 0, P < 0.05). The average hospital stay had a positive effect on the isolation proportion for several antibiotic-resistant organisms, including methicillin-resistant Staphylococcus aureus, methicillin-resistant coagulase-negative Staphylococcus, vancomycin-resistant Enterococcus faecalis, vancomycin-resistant Enterococcus faecium, penicillin-resistant Streptococcus pneumoniae, cefotaxime or ceftriaxone resistant Escherichia coli, carbapenem-resistant Escherichia coli, quinolone-resistant Escherichia coli, cefotaxime or ceftriaxone resistant Klebsiella pneumoniae, carbapenem-resistant Pseudomonas aeruginosa, and carbapenem-resistant Acinetobacter baumannii (regression coefficient > 0, P < 0.05). Bed allocation and utilization efficiency in healthcare institutions may affect the isolation proportion of MDROs in varying degrees. [ABSTRACT FROM AUTHOR]

Ovarian cancer (OC) is the most deadly gynecological tumor. OC cells utilize cellular metabolic reprogramming to gain a survival advantage, particularly through aberrant lipid metabolic process. As the primary ingredient in exogenous cannabinoids, cannabidiol (CBD) has been confirmed to exhibit antitumor activity in preclinical studies. However, it is still unclear whether CBD can disrupt fatty acid metabolism and induce apoptosis in OC cells. In this study, we have demonstrated that CBD significantly inhibits the proliferation of OCs through a cannabinoid receptor type 1 (CB1R)-mediated manner. Fatty acid metabolic profiling and flow cytometry analysis revealed that CBD has the ability to decrease fatty acid levels and significantly suppress the transcription of genes involved in fatty acid uptake and synthesis in ES-2 cells. In addition, the analysis from RNA-seq and real-time RT-PCR revealed that CBD activated the endoplasmic reticulum (ER) stress pathway. Conversely, by supplementation with unsaturated fatty acid or blocking CB1R, ER stress or reactive oxygen species (ROS) signals with specific inhibitors could significantly relieve CBD induced, dose-dependent, ER stress associated apoptosis, G0-G1 phase arrest, and mitochondrial dysfunction. Taken collectively, these data indicate that CBD may disrupt lipid metabolism, and lead to ER stress-related apoptosis in OCs. Our findings may provide a theoretical mechanism for anti-ovarian cancer using CBD. [ABSTRACT FROM AUTHOR]

Voice or speaker recognition is critical in a wide variety of social contexts. In this study, we investigated the contributions of acoustic, phonological, lexical, and semantic information toward voice recognition. Native English speaking participants were trained to recognize five speakers in five conditions: non-speech, Mandarin, German, pseudo-English, and English. We showed that voice recognition significantly improved as more information became available, from purely acoustic features in non-speech to additional phonological information varying in familiarity. Moreover, we found that the recognition performance is transferable between training and testing in phonologically familiar conditions (German, pseudo-English, and English), but not in unfamiliar (Mandarin) or non-speech conditions. These results provide evidence suggesting that bottom-up acoustic analysis and top-down influence from phonological processing collaboratively govern voice recognition. [ABSTRACT FROM AUTHOR]