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Abstract The presence of high-risk human papillomavirus (HR-HPV) contributes to the development of cervical lesions and cervical cancer. Recent studies suggest that an imbalance in the cervicovaginal microbiota might be a factor in the persistence of HR-HPV infections. In this study, we collected 156 cervicovaginal fluid (CVF) of women with HR-HPV infection, which were divided into three groups (negative for intraepithelial lesions = 78, low/high-grade squamous intraepithelial lesions = 52/26). We performed metabolomics and 16 S rRNA sequencing to identify changes in metabolites and cervicovaginal microbiota among patients with HR-HPV infection and varying grades of cervical lesions. We detected 164 metabolites and 389 flora types in the three groups. Ten CVF metabolites—N-methylalanine, phenylacetaldehyde, succinic acid, 2-3-dihydroxypyridine, DL-p-hydroxylphenyllactic acid, gluconic acid lactone, guanine, glucose-6-phosphate, erythrose, and sucrose showed significant associations with disease severity and distinct separation patterns in HR-HPV-infected patients with LSIL and HSIL, with an area under the curve of 0.928. The most abundant microbial communities in the CVF were Gardnerella. Gardnerella was found to be associated with increased levels of succinic acid, thereby highlighting distinct metabolic profiles. These findings suggest that the development of cervical lesions resulting from persistent HR-HPV infection is associated with significant alterations in systemic metabolism and shifts in the cervicovaginal microbiota, providing valuable insights into the metabolic and microbiota changes linked to disease severity.

Conventional moiré magnifier suffers from high manufacturing cost and poor scalability due to the stringent requirement on alignment between the microfocusing element array and micropattern array (MPA). By superposition of the microreflective element array and MPA together to form hierarchical microstructure, not only the alignment can be done during mold fabrication process, which is easily scalable and compatible to semiconductor, but also the synthetically magnified image is visible as viewed from both front and back side. The investigation of the moiré magnifier with hierarchical microstructure unveils new imaging phenomenon in moiré imaging device, and thereby offers a facile and low-cost platform to address challenges to open up a potential avenue in micro-optic involved three-dimensional display or anti-counterfeiting applications.

Abstract Background Colonoscopy is considered the most effective screening method for colorectal polyps. However, the longevity and complexity of the procedure makes it less desirable to screen for colorectal polyps in the general population. Therefore, it is essential to identify other independent risk factors. In this study, we explored the link between Hp infection, atrophic gastritis, and colorectal polyps to identify a new potential risk factors of colorectal polyps. Methods In this study, atrophic gastritis and intestinal polyps were diagnosed by endoscopy and pathology. All the 792 patients in this retrospective study were divided into sub-groups based on the presence of colorectal polyps. The correlation between polyps and atrophic gastritis was analyzed using the chi-square test and Kruskal-Wallis test. The receiver operating characteristic (ROC) curve was used to compare the predictive value for colorectal polyps between Hp infection and atrophic gastritis. Binary logistic regression was utilized to identify independent risk factors for colorectal polyps. Results Patients with colorectal polyps were primarily male with advanced age, and the number of patients with colorectal polyps had a higher association with smoking, alcohol drinking, and Hp infection than the control group. A positive correlation between the number of colorectal polyps and the severity of atrophic gastritis was observed. ROC analysis showed that atrophic gastritis was a better risk factors for colorectal polyps. Multivariate analysis identified atrophic gastritis as an independent risk factor for colorectal polyps (OR 2.294; 95% CI 1.597–3.296). Conclusions Atrophic gastritis confirmed could be an independent risk factors for colorectal polyps.

Abstract The preparation of monodisperse azobenzene (Azo) polymer microspheres by dispersion polymerization was reported. The photo‐induced fusion of Azo polymer microspheres was successfully achieved during the process of reversible trans‐cis‐trans photoisomerization of Azo units, and induced various unique “microsphere molecular” clusters or “microsphere polymers”. Encouraged by this interesting phenomenon, microsphere clusters of different topological structures were stabilized by the in situ acetal cross‐linking chemistry. The photo‐induced fusion polymerization of monodisperse polymer microspheres provides a new strategy for designing photo‐responsive clusters and allows for control over the mechanical properties of microspheres with high spatiotemporal resolution.

This exploratory study aimed to develop a risk prediction model of vancomycin‐associated nephrotoxicity (VANT) in elderly patients. Clinical information of elderly patients who received vancomycin therapy from January 2016 to June 2018 was retrieved. A total of 255 patients were included in this study. Univariate analysis and multivariable logistic regression analysis revealed that vancomycin trough concentration ≥ 20 mg/L (odds ratio (OR) = 3.009; 95% confidence interval (CI) 1.345–6.732), surgery (OR = 3.357; 95% CI 1.309–8.605), the Charlson Comorbidities Index ≥ 4 points (OR = 2.604; 95% CI 1.172–5.787), concomitant use of cardiotonic drug (OR = 3.283; 95% CI 1.340–8.042), plasma volume expander (OR = 3.459; 95% CI 1.428–8.382), and piperacillin/tazobactam (OR = 2.547; 95% CI 1.680–6.007) were risk factors for VANT in elderly patients. Furthermore, a VANT risk prediction model was developed, which had good discriminative power and was well‐calibrated.

This meta-analysis aims to screen the risk factors for severe illness and death and provide help for early clinical treatment of the new coronavirus (COVID-19). Based on a comprehensive search of PubMed, Embase, and Web of Science databases, we included studies that explored the cause and risk factors for severe illness and death in COVID-19 patients. We evaluated the strength of this relationship using odds ratios (ORs) with 95% confidence intervals (CIs). A total of 17 articles were included; 16 of the 17 articles were from China, and the risk factors associated with severe illness and death were age, sex, and multiple comorbidities. Advanced age (≥65 years, severe illness, OR = 2.62; death, OR = 6.00), male (severe illness, OR = 1.49; death, OR = 1.54), chronic respiratory diseases (severe illness, OR = 5.67; death, OR = 3.72), diabetes (severe illness, OR = 3.27; death, OR = 2.60), hypertension (severe illness, OR = 3.08; death, OR = 3.53), chronic kidney disease (severe illness, OR = 3.59; death, OR = 5.38), and cardiovascular diseases (severe illness, OR = 3.87; death, OR = 4.91) were all risk factors. For COVID-19 patients, advanced age, male, and patients with chronic disease are at higher risk of developing severe illness or even death.

BackgroundTuberculosis is a major public health problem especially in developing countries, the comparative efficacy and safety of fluroquinolones (FQs) for adult patients with newly diagnosed, sputum-positive tuberculosis remains controversial. We aimed to investigate the benefits and risks of FQs-containing (addition/substitution) regimens in this population.MethodsA network meta-analysis was performed to compare FQs (C: ciprofloxacin; O: ofloxacin; Lo: levofloxacin; M: moxifloxacin; G: gatifloxacin) addition/substitution regimen with standard HRZE regimen (ie isoniazid, rifampicin, pyrazinamide and ethambutol) in newly diagnosed, sputum-positive tuberculosis. Medline, Embase and Cochrane Central Register of Controlled Trials were systematically searched, randomized trials with duration longer than 8 weeks were included. The primary outcome was week-8 sputum negativity, and secondary outcomes included treatment failure, serious adverse events and death from all cause.ResultsTwelve studies comprising 6465 participants were included in the network meta-analysis. Löwenstein-Jensen culture method showed that HRZEM (OR 4.96, 95% CI 2.83-8.67), MRZE (OR 1.48, 95% CI 1.19-1.84) and HRZM (OR 1.32, 95% CI 1.08-1.62) had more sputum conversion than HRZE by the eighth week, whereas HRC (OR 0.39, 95% CI 0.19-0.77) and HRZO (OR 0.47, 95% CI 0.24-0.92) were worse than HRZE. Moxifloxacin-containing regimens showed more conversion than HRZE by liquid method at the end of two months. But by the end of treatment, FQs-containing regimens didn't show superiority than HRZE on treatment failure. There were no significant differences between any regimens on other outcomes like serious adverse events and all-cause death.ConclusionThis comprehensive network meta-analysis showed that compared with HRZE, moxifloxacin-containing regimens could significantly increase sputum conversion by the eighth week for patients with newly diagnosed pulmonary tuberculosis while HRC and HRZO regimens were inferior. But all the FQs-containing regimens did not show superiority in other outcomes (such as treatment failure, serious adverse events and all-cause death). Thus, HRZE is still an effective regimen for this population. Although moxifloxacin-containing regimens have deomonstrated their potential, FQs-containing regimens should be used with great caution to avoid widespread FQs-resistance worldwide.

The article discusses the challenges faced by blockchain technology in terms of scalability, security, and privacy protection. It highlights the limitations of current blockchain applications and the risks they pose to investors and sensitive data. Various research directions are proposed to address these bottlenecks, including improving consensus mechanisms, sharding the network, and enhancing security through cryptographic technology. The article also provides a summary of 11 high-quality papers accepted for a special issue, covering topics such as smart contract vulnerability detection, graph-based sharding schemes, NFT security, and decentralized reputation management mechanisms. [Extracted from the article]

With the support of our government's commitment to the energy sector, the installed capacity of wind power will continue to grow. However, due to the instability of wind power, accurate prediction of wind power output is essential for effective grid dispatch. In addition, data privacy and protection have become paramount in today's society. Traditional wind forecasting methods rely on centralized data, which raises concerns about data privacy and data silos. To address these challenges, we propose a hybrid approach that combines federated learning and deep learning for wind power forecasting. In our proposed method, we use a bidirectional long short-term memory (BILSTM) neural network as the basic prediction model to improve the prediction accuracy. Then, the model is integrated into the federated learning framework to form the Fed-BILSTM prediction method. In addition, we have introduced cloud computing technology into the Fed-BILSTM method, using cloud resources for model training and parameter update. Participants share model parameters instead of sharing raw data, which solves data privacy concerns. We compared Fed-BILSTM with traditional forecasting methods. Experimental results show that the proposed Fed-BILSTM is better than the traditional prediction method in terms of prediction accuracy. What's more, Fed-BILSTM can effectively protect data privacy compared to traditional centralized forecasting methods while ensuring prediction performance. [ABSTRACT FROM AUTHOR]