Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence and Genetype Distribution of Human Papillomavirus in Women with Condyloma Acuminatum in Henan Province, Central China

Purpose This study aims to analyze the distribution of human papillomavirus (HPV) genotypes and the associations of demographic characteristics with HPV infection among women with condyloma acuminatum (CA) in Henan Province of China. Methods From January 2019 to October 2022, 702 women with CA were sampled for HPV subtypes and surveyed by questionnaire at Henan Provincial People′s Hospital. The HPV genotype was tested by flow-through hybridization after polymerase chain reaction (PCR). Results The location of warts was mainly vulva. The age of the subjects was mainly distributed in the 20–29-year-old, followed by 30–39-year-old. The most common subtypes were HPV 6 (43.59%), 11 (24.93%), 16 (11.82%), 52 (7.83%), 58 (7.55%), 51 (7.26%), 61 (5.70%), 39 (5.56%), 18 (5.13%), and 54 (4.70%), our results also suggested that HPV 6 and 11 were the dominant genotypes in each age group. The infection of low-risk HPV (LR-HPV) (74.50%) and single HPV (47.01%) were the main categories. In terms of educational level, women with senior high school or above were inclined to infect single and pure-LR HPV. Unmarried status, sometimes or never condom use increased the chances of multiple, pure high-risk (HR) and mixed HPV infections. Women with multiple sex partners were more likely to cause multiple and mixed HPV infections. Conclusion Our experimental data on the prevalence and subtype distribution of HPV in women with CA could provide valuable reference for preventing CA in Henan Province. The application of the nine-valent vaccine provides a broad prospect for female CA prevention.
Labour market reforms in brazil (2017-2021): An analysis of the effects of recent flexibilization on labor market legislation

The main objective of this work is to analyze the effects of Brazilian Labor Market Reform (BLMR) in the short run and, based on identified changes in the economy in recent decades, to verify how these changes have affected the labor market. Four methods were used in a complementary way: (i) employment quality index; (ii) panel data estimation method; (iii) synthetic control method and (iv) microdata analysis. We observed that there was no considerable increase in the quality of employment and formal employment and the rate of unemployment did not decrease after the implementation of these changes. Part of this dynamic is cyclical and related to exogenous shocks, such as the COVID pandemic on the Brazilian economy. Finally, according to econometric analysis, the rate of unemployment in Brazil is more responsive to investment rates and the business environment than to unit labor cost and changes in labor legislation.
Development of a Hybrid En3DVar Data Assimilation System and Comparisons with 3DVar and EnKF for Radar Data Assimilation with Observing System Simulation Experiments

AbstractA hybrid ensemble–3DVar (En3DVar) system is developed and compared with 3DVar, EnKF, “deterministic forecast” EnKF (DfEnKF), and pure En3DVar for assimilating radar data through perfect-model observing system simulation experiments (OSSEs). DfEnKF uses a deterministic forecast as the background and is therefore parallel to pure En3DVar. Different results are found between DfEnKF and pure En3DVar: 1) the serial versus global nature and 2) the variational minimization versus direct filter updating nature of the two algorithms are identified as the main causes for the differences. For 3DVar (EnKF/DfEnKF and En3DVar), optimal decorrelation scales (localization radii) for static (ensemble) background error covariances are obtained and used in hybrid En3DVar. The sensitivity of hybrid En3DVar to covariance weights and ensemble size is examined. On average, when ensemble size is 20 or larger, a 5%–10% static covariance gives the best results, while for smaller ensembles, more static covariance is benefic.
Composite Membrane for Sodium Polysulfide Hybrid Redox Flow Batteries

Non-aqueous redox flow batteries (NARFBs) using earth-abundant materials, such as sodium and sulfur, are promising long-duration energy storage technologies. NARFBs utilize organic solvents, which enable higher operating voltages and potentially higher energy densities compared with their aqueous counterparts. Despite exciting progress throughout the past decade, the lack of low-cost membranes with adequate ionic conductivity and selectivity remains as one of the major bottlenecks of NARFBs. Here, we developed a composite membrane composed of a thin (<25 µm) Na+-Nafion coating on a porous polypropylene scaffold. The composite membrane significantly improves the electrochemical stability of Na+-Nafion against sodium metal, exhibiting stable Na symmetric cell performance for over 2300 h, while Na+-Nafion shorted by 445 h. Additionally, the composite membrane demonstrates a higher room temperature storage modulus than the porous polypropylene scaffold and Na+-Nafion separately while maintaining high Na+ conductivity (0.24 mS/cm at 20 °C). Our method shows that a composite membrane utilizing Na+-Nafion is a promising approach for sodium-based hybrid redox flow batteries.
Physical Activity and the Impact of Continued Exercise on Health-Related Quality of Life Prior to and during Pregnancy: A German Cohort Study

The goal of this study was to examine how regular physical activity before and during pregnancy affected life quality throughout pregnancy. Between July 2020 and May 2021, 218 pregnant women were recruited from 11 outpatient clinics for this survey. Data were collected prospectively in a panel format beginning with the 10th gestational week over a 20-week period. Prior to pregnancy, a previous time point was also defined. The International Physical Activity Questionnaire, the EQ-5D-3L questionnaire, and the EQ-VAS questionnaire were used to collect data on the duration and intensity of daily physical exercises, as well as to assess health-related quality of life and self-estimated health status. The final survey included data from 113 women. During pregnancy, physical activity decreased dramatically. The duration of strenuous activities, but not moderate activities, was significantly reduced. Continuous physical activity independently predicted higher life quality scores at all points of assessment. Cases who participated in moderate and strenuous activities on a regular basis had higher self-estimated health status scores than cases who only participated in moderate activity. Instead of focusing solely on specific types of physical activity, we believe that strategies for motivating all pregnant women to be constantly active should be developed.
The role of delta neutrophil index in early identification of severe acute pancreatitis in adult patients: a prospective diagnostic accuracy study

Objective: The primary outcome of this study is to evaluate the diagnostic performance of the initial delta neutrophil index (DNI) for early identification of severe acute pancreatitis (SAP). Material and Methods: All diagnoses and definitions were made according to the revised Atlanta classification. DNI (delta neutrophil index) was measured automatically using a hematology analyzer. The study included patients aged 18 years and older who were admitted with abdominal pain consistent with acute pancreatitis. The exclusion criteria encompassed patients with a known diagnosis of pancreatic malignancy, iatrogenic endoscopic pancreatitis, those presenting with abdominal trauma, and those experiencing exacerbation of chronic pancreatitis. Results: The median DNI for patients who developed SAP was 0.5 (0.29-1.1), while for non-severe patients, it was 0.2 (0.1-0.41). The difference between the two outcome groups was found to be statistically significant (p<0.001). The area under the curve (AUC) for DNI in predicting SAP was 0.727, with a 95% Confidence Interval (CI) of 0.628-0.825. At the optimal cut-off point, the sensitivity of DNI was determined to be 74.3%, with a 95% CI of 56.7%-87.5%. The specificity was calculated as 68.2% (95% CI=61.6%-74.3%). The positive likelihood ratio (LR+) was 2.34, with a 95% CI of 1.78-3.08, and the negative likelihood ratio (LR-) was 0.38, with a 95% CI of 0.21-0.67. Conclusion: Based on the results, the delta neutrophil index (DNI) shows promise as an essential inflammatory marker for the early diagnosis of SAP. While it may not demonstrate high performance as a standalone marker, our study indicates that DNI could serve as an independent predictor for this outcome. The significant difference observed in DNI values between patients who developed SAP and non-severe patients suggests its potential clinical significance in identifying severe acute pancreatitis cases at an early stage. Further investigations and validation studies are warranted to strengthen the reliability and generalizability of DNI as a diagnostic tool for SAP. Integrating DNI with other relevant clinical and laboratory parameters may enhance its diagnostic accuracy and contribute to more effective patient management strategies. With appropriate intervention and follow-up, the early identification of SAP using DNI may lead to improved patient outcomes and reduced complications, benefiting both the patients and the healthcare system.
A Systematic Review of Population-Based Studies Assessing Knowledge, Attitudes, Acceptance, and Hesitancy of Pregnant and Breastfeeding Women towards the COVID-19 Vaccine

The anti-SARS-CoV-2 vaccination is recommended for pregnant women due to the high risk of complications. However, pregnancy has been associated with vaccine hesitancy. Our review aims at summarizing the existing literature about anti-SARS-CoV-2 vaccine hesitancy in pregnant and lactating women. The research was conducted on PubMed/MEDLINE, ExcerptaMedica Database (EMBASE), and Scopus, according to PRISMA guidelines. Articles regarding the COVID-19 vaccine’s acceptance and/or refusal by pregnant and lactating women were selected. Only observational, population-based studies were included. The Joanna Briggs Institute quality assessment tools were employed. A total of 496 articles were retrieved, and after the selection process, 21 papers were included in the current analysis. All the included studies were cross-sectional, mostly from Europe and North America. The sample sizes ranged between 72 and 25,111 subjects. All of them included pregnant subjects, except one that focused on breastfeeding women only. Vaccine hesitancy rates ranged from 26% to 57% among different studies. Fear of adverse events and lack of knowledge were shown to be the main drivers of hesitancy. Approximately half of the studies (11/21) were classified as low quality, the remaining (9/21) were classified as moderate, and only one study was classified as high quality. Primigravidae were also shown to be more likely to accept anti-SARS-CoV-2 vaccination. Our findings confirm significant anti-SARS-CoV-2 vaccine hesitancy among pregnant women. Information gaps should be addressed to contain concerns related to adverse events.
Multi-Connection to the Sky: Energy-Efficient Beamforming for Multi-Satellite Uplink Transmission With Lens Antenna Array

With the ever-increasing densification of low Earth orbit constellations, lens antenna array has become an attractive option for ground terminals to simultaneously connect to multiple satellites with improved coverage under insufficient energy supply. To this end, an optimization problem is formulated for maximizing the energy efficiency (EE) of the system by respecting the uplink transmit power budget and the quality-of-service (QoS) constraints. This problem has a discrete non-concave objective function and is solved with reduced computational complexity using zero forcing-based precoding and problem decomposition. The proposed algorithm iterates between the following three steps. In the first step, zero forcing-based fully-digital precoder is first optimized under a fixed number of RF chains by adopting Dinkelbach’s algorithm. Then, a hybrid analog-digital precoding based on analog beam selection and baseband digital precoding is designed to approximate the optimal fully-digital precoder under Euclidean distance criteria. On this basis, simulated annealing algorithm (SAA) is applied to further optimize the number of required RF chains with the aim of reducing total energy cost. Simulation results demonstrate that the proposed design achieves an improved performance in EE comparing with existing schemes with fixed number of RF chains by up to 15%.
Analysis of Accountability Determination in Bireuen Regency Islamic Boarding

The purpose of this research is to investigate the impact of charismatic leadership, human resource competence, and the use of technology on increasing the accountability of Islamic boarding schools. The descriptive and verification methods were used in this study. In this study, the population consisted of all 164 Islamic boarding schools in Bireuen Regency. The population characteristics (sampling frame) included active Islamic boarding schools with more than 500 students. There were 33 Islamic boarding schools that fit the demographics. The sample was determined by a census. A questionnaire is the data collection instrument. Questionnaires were distributed to Islamic boarding school leaders, teachers, and accounting/administration/finance department heads. There were 99 total respondents. The collected data were analyzed using a structural equation model and a PLS approach (SEM). The findings revealed that charismatic leadership and HR competence had a positive and significant impact on accountability. While technology has no discernible positive impact on accountability.
Enhancing Maize Transformation and Targeted Mutagenesis through the Assistance of Non-Integrating Wus2 Vector

Efficient genetic transformation is a prerequisite for rapid gene functional analyses and crop trait improvements. We recently demonstrated that new T-DNA binary vectors with NptII/G418 selection and a compatible helper plasmid can efficiently transform maize inbred B104 using our rapid Agrobacterium-mediated transformation method. In this work, we implemented the non-integrating Wuschel2 (Wus2) T-DNA vector method for Agrobacterium-mediated B104 transformation and tested its potential for recalcitrant inbred B73 transformation and gene editing. The non-integrating Wus2 (NIW) T-DNA vector-assisted transformation method uses two Agrobacterium strains: one carrying a gene-of-interest (GOI) construct and the other providing an NIW construct. To monitor Wus2 co-integration into the maize genome, we combined the maize Wus2 expression cassette driven by a strong constitutive promoter with a new visible marker RUBY, which produces the purple pigment betalain. As a GOI construct, we used a previously tested CRISPR-Cas9 construct pKL2359 for Glossy2 gene mutagenesis. When both GOI and NIW constructs were delivered by LBA4404Thy- strain, B104 transformation frequency was significantly enhanced by about two-fold (10% vs. 18.8%). Importantly, we were able to transform a recalcitrant inbred B73 using the NIW-assisted transformation method and obtained three transgene-free edited plants by omitting the selection agent G418. These results suggest that NIW-assisted transformation can improve maize B104 transformation frequency and provide a novel option for CRISPR technology for transgene-free genome editing.
Some results on backward equations and stochastic partial differential equations with singularities

This thesis is devoted to the study of some problems in the field of backward stochastic differential equations (BSDE), and their applications to partial differential equations.In the first chapter, we introduce the notion of backward doubly stochastic differential equations (BDSDE) with singular terminal condition. A first work consists to study the case of BDSDE with monotone generator. We then obtain existing result by an approximating scheme built considering a truncation of the terminal condition. The last part of this chapter aim to establish the link with stochastic partial differential equations, using a weak solution approach developed by Bally, Matoussi in 2001.The second chapter is devoted to the BSDEs with singular terminal conditions and jumps. As in the previous chapter the tricky part will be to prove continuity in T. We formulate sufficient conditions on the jumps in order to obtain it. A section is then dedicated to establish a link between a minimal solution of our BSDE and partial integro-differential equations.The last chapter is dedicated to doubly reflected second order backward stochastic differential equations (2DRBSDE). We have been looking to establish existence and uniqueness for such equations. In order to obtain this, we had to focus first on the upper reflection problem for 2BSDEs. We combined then these results to those already existing to give a well-posedness context to 2DRBSDE. Uniqueness is established as a straight consequence of a representation property. Existence is obtained using shifted spaces, and regular conditional probability distributions. A last part is then consecrated to the link with some Dynkin games and Israeli options.
Exploring the relationship between multiple dimensions of subjective socioeconomic status and self-reported physical and mental health: the mediating role of affect

Introduction This study aimed to investigate the predictive effects of two types of subjective socioeconomic status on self-reported physical and mental health. Specifically, we examined the MacArthur Scale (MacArthur) which measures perceived socioeconomic rank in the society and a novel scale called ComSim, which assessed how participants compared themselves socioeconomically to others coming from a similar socioeconomic background. We also considered the influence of income, education, and personal relative deprivation (PRD) in these analyses. Additionally, we explored whether these effects were mediated through negative and positive affect. Methods The data were collected through a cross-sectional, two-wave survey of 294 women and 294 men, with a mean age 41.6 years. Participants were recruited via an online platform. Results The results from multivariate regression models revealed that socioeconomic status measured with both the MacArthur Scale and ComSim significantly predicted both self-reported health measures, whereas income and education did not predict any of these measures in the full multivariate models. PRD only predicted self-reported mental health. Mediation analyses showed that negative and positive affect mediated the relationships between socioeconomic status measured by ComSim and self-reported health measures. Discussion These findings are discussed in the context of the similarity hypothesis of social comparison theory. The results underscore the importance of considering multiple dimensions when examining socioeconomic health disparities.
Evaluation of reanalysis estimates of precipitation, radiation and temperature over Benin (West Africa)

In West Africa, climatic data issues, especially availability and quality, remain a significant constraint to the development and application of distributed hydrological modeling. As alternatives to ground-based observations, reanalysis products have received increasing attention in recent years. This study aims to evaluate three reanalysis products, namely, ERA5, WFDE5, and MERRA2, from 1981 to 2019 to determine their ability to represent four hydrological climates variables over a range of space and timescales in Benin. The variables from the reanalysis products are compared to point station data-based metrics Kling Gupta Efficiency (KGE), Mean Absolute Error (MAE), correlation, and Relative Error in Precipitation Annual (REPA). The results show that ERA5 presents a better correlation for annual mean temperature (between 0.74-0.90) compared to WFDE5 (0.63-0.78) and MERRA2 (0.25-0.65). Both ERA5 and WFDE5 are able to reproduce the observed upward trend of temperature (0.2°C/decade) in the region. We noted a systematic cold bias of ~1.3°C in all reanalyses except WFDE5 (~0.1°C). On the monthly timescale, the temperature of the region is better reproduced by ERA5 and WFDE5 (KGE ≥ 0.80) compared to MERRA2 (KGE < 0.5). At all timescales, WFDE5 produces the best MAE scores for longwave (LW) and shortwave (SW) radiation followed by ERA5. WFDE5 also provides the best estimates for the annual precipitation (REPA ∈ ]-25, 25[ and KGE ≥ 50% at most stations). ERA5 produces similar results, but MERRA2 performs poorly in all the metrics. Additionally, ERA5 and WFDE5 reproduce the bimodal rainfall regime in southern Benin, unlike MERRA2, but all products have too many small rainfall events.
The Role of Dividend Policy as An Intervening of Financial Performance on Company Value

When investors want to invest in a stock on the stock exchange, the first thing to look at, apart from the company's fundamental performance, is the stock price. One of the ratios that is widely used in making investment decisions is the ratio of stock prices to the company's book value (Price To Book Value). The book value of the company is the value of the company's assets divided by the number of shares issued by the company. In other words, the book value of the shares is the fair value of the issuer's shares, which reflects the company's fundamental performance. This study aims to determine the effect of Firm Size, Financial Leverage, Economic Value Added, Market Value Added on Price to Book Value with Dividend Payout Ratio as an intervening variable. The research subjects are companies that are members of IDX 30 on the Indonesia Stock Exchange during the 2017-2021 period. The method of data analysis is multiple linear regression using R Studio software. The results showed that Firm Size had an effect on the Dividend Payout Ratio. While Financial Leverage, Economic Value Added, Market Value Added have no effect on the Dividend Payout Ratio. Financial Leverage and Market Value Added have an effect on Price to Book Value, but Firm Size and Economic Value Added have no effect on Price to Book Value. Dividend Payout Ratio is only able to mediate Firm Size on Price to Book Value.
Blocking the CGRP Receptor: Differences across Human Vascular Beds

Multiple drugs targeting the calcitonin gene-related peptide (CGRP) receptor have been developed for the treatment of migraine. Here, the effect of the small-molecule CGRP receptor antagonist zavegepant (0.1 nM–1 µM) on CGRP-induced relaxation in isolated human coronary arteries (HCAs) was investigated. A Schild plot was constructed and a pA2 value was calculated to determine the potency of zavegepant. The potency and Schild plot slopes of atogepant, olcegepant, rimegepant, telcagepant, ubrogepant and zavegepant in HCAs and human middle meningeal arteries (HMMAs), obtained from our earlier studies, were compared. Zavegepant shifted the concentration–response curve to CGRP in HCAs. The corresponding Schild plot slope was not different from unity, resulting in a pA2 value of 9.92 ± 0.24. No potency difference between HCAs and HMMAs was observed. Interestingly, olcegepant, atogepant and rimegepant, with a Schild plot slope < 1 in HCAs, were all >1 log unit more potent in HMMAs than in HCAs, while telcagepant, ubrogepant and zavegepant, with a Schild plot slope not different from unity, showed similar (<1 log difference) potency across both tissues. As a Schild plot slope < 1 may point to the involvement of multiple receptors, it is important to further identify the receptors involved in the relaxation to CGRP in HCAs, which may be used to improve the cardiovascular safety of future antimigraine drugs.