Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Factors of Incompliance To Breastfeeding in Hepatitis B Virus-Infected Mothers Taking Nucleos(t)ide Analogs During Pregnancy for Prevention of Mother-To-Child Transmission

Background: We encourage Hepatitis B virus-infected mothers to breastfeed postpartum, even when continuing pregnancy category B nucleos(t)ide analogs treatment. However, a large proportion of the Hepatitis B virus-infected mothers were not compliance to the breastfeeding recommendation. This study aimed to investigate the causes and influencing factors of incompliance to breastfeeding recommendation in Hepatitis B virus-infected mothers receiving nucleos(t)ide analogs treatment during pregnancy for preventing mother-to-child transmission.Methods: A total of 155 mothers with chronic hepatitis B receiving nucleos(t)ide analogs treatment for preventing mother-to-child transmission during the late gestational period were included and divided into the exclusive breastfeeding (n=63), mixed feeding (n=34), and artificial feeding (n=58) groups according to the feeding types postpartum. Independent variables associated with feeding types were analyzed by logistic regression analysis.Results: Compared to the breastfeeding and mixed feeding groups, the artificial feeding group had significantly higher parity, later postpartum timing of stopping nucleos(t)ide analogs treatment, and lower proportion of having knowledge of nucleos(t)ide analogs medications (all P<0.05). In addition, multivariate logistic regression analysis confirmed that higher parity, later postpartum timing of stopping nucleos(t)ide analogs treatment, and lacking knowledge of medication were independent factors associated with incompliance to breastfeeding. Conclusion: Hepatitis B virus-infected mothers with later postpartum timing of stopping nucleos(t)ide analogs treatment and less knowledge of medication were more likely to incompliance to breastfeeding recommendation. Strengthening health education may be an important method to improve compliance to breastfeeding.
Characterization and modeling of thermal protective fabrics under Molotov cocktail exposure

This study aims to characterize and model the thermal protective fabrics usually used in workwear under Molotov cocktail exposure. Physical properties of the fabrics were measured; and, thermal protective performances of the fabrics were evaluated under a fire exposure generated from the laboratory-simulated Molotov cocktail. The performance was calculated in terms of the amount of thermal energy transmitted through the fabrics; additionally, the time required to generate a second-degree burn on wearers’ bodies was predicted from the calculated transmitted thermal energy. For the characterization, the parameters that affected the protective performance were identified and discussed with regards to the theory of heat and mass transfer. The relationships between the properties of the fabric systems and the protective performances were statistically analyzed. The significant fabric properties affecting the performance were further employed in the empirical modeling techniques − Multiple Linear Regression (MLR) and Artificial Neural Network (ANN) for predicting the protective performance. The Coefficient of Determination (R2) and Root Mean Square Error (RMSE) of the developed MLR and ANN models were also compared to identify the best-fit model for predicting the protective performance. This study found that thermal resistance and evaporative resistance are two significant properties (P-Values < 0.05) that negatively affect the transmitted thermal energy through the fabric systems. Also, R2 and RMSE values of ANN model were much higher (R2 = 0.94) and lower (RMSE = 37.42), respectively, than MLR model (R2 = 0.73; RMSE = 191.38); therefore, ANN is the best-fit model to predict the protective performance. In summary, this study could build an in-depth understanding of the parameters that can affect the protective performance of fabrics used in the workwear of high-risk sectors employees and would provide them better occupational health and safety.
A Point Prevalence Survey Of Antimicrobial Prescribing In A South Indian Tertiary Hospital; Using Global PPS Tool

Identifying the targets for improving antimicrobial prescription and development of antimicrobial stewardship interventions can better serve to combat the situation of antimicrobial resistance. The primary objective was to determine the prevalence of antimicrobial use at tertiary care teaching hospital with both acute and long-term care patients. A periodical point prevalence survey was done in a tertiary care hospital of South India during 2019 using manual and webbased GLOBAL-PPS tool. Of 945 patients eligible for the study, 645 (69.5 %) received at least one antibiotic, with highest rates in the adult surgical ward and pediatrics. Of 645 therapeutic antibiotic prescriptions, 58.6% prescriptions have an infectious indication of them, 62.6% are community-acquired infections. Third-generation cephalosporins were the most prescribed antibiotics. The prevalence of antibiotic use is very high, and our study evidence that the country needs a robust antimicrobial stewardship intervention program.
Policing COVID-19 physical distancing measures: managing defiance and fostering compliance among individuals least likely to comply

ABSTRACT Physical distancing measures have become the first line of defence for slowing COVID-19 virus transmission. However, studies have demonstrated that compliance with physical distancing restrictions has not been uniform. Police have also encountered widespread resentment of the restrictions, defiance, and people purposefully flouting restrictions. In this study, we examined factors associated with compliance with COVID-19 restrictions among those who held defiant attitudes toward police during the early stages of the pandemic in Australia. The study draws on survey data collected from 1595 Australians during the initial lockdown period in Australia. Regression analysis was applied to determine if two forms of defiance toward police (resistance and disengagement) were associated with reduced compliance with restrictions while controlling for other known correlates of compliance. We also identified factors that were associated with compliance among highly resistant and disengaged individuals. Findings indicate that defiant individuals were significantly less likely to comply with physical distancing restrictions. Among highly resistant and disengaged individuals, recent police-initiated encounters that were deemed to be procedurally unjust were also associated with reduced compliance. In addition, highly disengaged individuals were less likely to comply if they were concerned about ongoing loss of freedoms post-COVID-19. The implications of the findings for defiance and compliance research, as well as for COVID-19 policing strategies, are discussed.
The Communication Network of Online Prostitution in Twitter

Humans widely use Twitter for various communication purposes. One advancement in communication due to the inception of this technology is online prostitution, which enables Twitter users to quickly, openly, and vulgarly flirt. Prostitution is no longer a taboo in Eastern society. This study aims to obtain an overview of online prostitution communication networks on Twitter, using the Social Media Analysis method with Sentimentviz application. The results show that intact communication networks were formed between actors, irrespective of the limited number. Twitter accounts are used to promote commercial sex services by each actor through their timeline and hashtags such as #openbo, #realangel, #bispak, #bisyar. At the group level, some actors have a unique position to help service marketing by retweeting messages and functioning as pimps. As for ego-centered networks, most actors stand-alone without being associated with others in promoting commercial sex services.
Assessing the potential for reducing violence against young children through an adapted parenting program embedded within the public health system: Findings from a pre-post trial in Thailand

BackgroundThis pre-post trial of the Parenting for Lifelong Health for Young Children program in Thailand aimed to: 1) explore the feasibility of study evaluation approaches; 2) assess the feasibility of delivering an adapted program; 3) report indicative effects on child maltreatment and related outcomes; and 4) examine intervention content associated with key mechanisms of change perceived by caregivers and facilitators.Method:Sixty primary caregivers of children aged 2–9 years were recruited for an 8-week parenting program embedded within the local health system. Mixed-methods approaches included quantitative caregiver-report and observational data from standardized instruments, and qualitative data from individual and group interviews with caregivers and program facilitators. Analyses involved Wilcoxon signed-rank tests, paired t-tests, Friedman’s ANOVA, and thematic analysis.ResultsParticipants reported that most (65%) were grandparents or great-grandparents. Study retention and response rates were high, and enrolled caregivers attended an average of 93% of sessions. Primary outcomes showed caregiver-reported pre-post reductions in overall child maltreatment (d=-0.58, p < 0.001), as well as reductions in physical (d=-0.58, p < 0.001) and emotional abuse (d=-0.40, p < 0.001). Combined caregiver report and observational assessments using the HOME Inventory showed reductions in abusive and harsh parenting (d=-0.52, p < 0.001). Secondary outcomes demonstrated decreases in child neglect; dysfunctional parenting; poor child monitoring and supervision; parental sense of inefficacy; child behavior problems; daily report on child problem behavior; parent overall depression, anxiety, and stress; and attitudes supporting physical punishment and harsh discipline. There were increases in overall positive parenting, daily positive parenting behavior, as well as HOME Inventory assessments on parent-child relationships. Thematic analyses from interviews and focus group data identified six key program themes associated with strengthened parent-child relationships, reduced child behavior problems, improved attitudes and strategies toward discipline, and improved management of parental stress.ConclusionsThis study represents one of few evaluations to test the feasibility of an evidence-based parenting program embedded within routine public health service delivery in a low- or middle-income country. Findings show preliminary effectiveness in reducing child maltreatment, improvements on 22 of 24 secondary outcomes, and perceived mechanisms of change that support quantitative findings. Prospects are promising for program scalability, pending randomized controlled trial results.Trial registration11/01/2019, ClinicalTrials.gov, ID# NCT03539341
Degradation of sulfamethazine antibiotics in Fenton‐like system using Fe3O4 magnetic nanoparticles as catalyst

In this study, Fe3O4 magnetic nanoparticles (MNPs) were synthesized, characterized and used for the degradation of sulfamethazine (SMT). The results showed that Fe3O4 MNPs were efficient and reusable heterogeneous catalytic for SMT degradation in a Fenton‐like system. More than 80% of the SMT was degraded under optimal conditions: initial pH of 3.0, 20 mM of H2O2, Fe3O4 MNPs dose of 1.0 g/L, and initial concentration of SMT 20 mg/L (initial total organic carbon: 10.4 mg/L). Among the parameters that affect SMT degradation, initial pH is of crucial importance to degrade SMT in the Fenton‐like system. A possible pathway of SMT degradation was proposed based on detected products in the solution. The Fe3O4 MNPs exhibited high stability and reusability. The SMT removal remained at 80% over five runs with the catalyst. Slight agglomeration and dissolution of Fe3O4 MNPs after reactions were observed by X‐ray diffraction and field emission scanning electron microscopy analysis. The SMT removal and mineralization could be enhanced using Fe3O4 MNPs/powder‐activated carbon (PAC) composite as catalyst. The removal efficiency of SMT and TOC increased to 94.7% and 80.8% in optimal conditions, respectively, in Fenton‐like system catalyzed by Fe3O4 MNPs/PAC composite. © 2017 American Institute of Chemical Engineers Environ Prog, 36: 1743–1753, 2017
Analysis of Earthquake Forecasting in India Using Supervised Machine Learning Classifiers

Earthquakes are one of the most overwhelming types of natural hazards. As a result, successfully handling the situation they create is crucial. Due to earthquakes, many lives can be lost, alongside devastating impacts to the economy. The ability to forecast earthquakes is one of the biggest issues in geoscience. Machine learning technology can play a vital role in the field of geoscience for forecasting earthquakes. We aim to develop a method for forecasting the magnitude range of earthquakes using machine learning classifier algorithms. Three different ranges have been categorized: fatal earthquake; moderate earthquake; and mild earthquake. In order to distinguish between these classifications, seven different machine learning classifier algorithms have been used for building the model. To train the model, six different datasets of India and regions nearby to India have been used. The Bayes Net, Random Tree, Simple Logistic, Random Forest, Logistic Model Tree (LMT), ZeroR and Logistic Regression algorithms have been applied to each dataset. All of the models have been developed using the Weka tool and the results have been noted. It was observed that Simple Logistic and LMT classifiers performed well in each case.
Variations of HCHO and BTX, human health risk and indoor renovation characteristics of newly renovated rental apartments in Beijing, China

The popularity of decoration and refurbishment of rental apartments in China may give rise to indoor VOC levels, posing health threats to tenants. A questionnaire was conducted on the renovation characteristics and tenant information of rental apartments in Beijing. The study selected 143 rental bedrooms to study the characteristics of HCHO and BTX (benzene, toluene and xylene) and assessed the health risks of tenants. The results showed that the median of HCHO concentration was 0.07 mg/m3, within one to three months of renovation. The concentration declined to 0.03 mg/m3 after one year. However, BTX concentration was increased by four times after one year of renovation, probably due to tenants’ move-in. The mean of inhalation lifetime cancer risk for HCHO and benzene was calculated as 1.15–3.63 (10−5) and 2.46–7.9 (10−5), respectively, indicating probable risk. The tenants’ health risks were: infant > teenager > adult and male > female. Benzene in rental homes posed the greater health risk to humans than previous studies conducted in ordinary residences. The results show that 45.29% of rental apartments are renovated before the new tenants move in, and 86.27% of tenants have a lease length of less than three years. These behaviours may cause exacerbation of pollutant levels in rental apartments.
Capital Allocation Rules and the No-Undercut Property

This paper makes the point on a well known property of capital allocation rules, namely the one called no-undercut. Its desirability in capital allocation stems from some stability game theoretical features that are related to the notion of core, both for finite and infinite games. We review these aspects, by relating them to the properties of the risk measures that are involved in capital allocation problems. We also discuss some problems and possible extensions that arise when we deal with non-coherent risk measures.
A new elite? Higher education as seen through the lens of young people working in innovative technologies

This research explores the significance of higher education among 53 young people from Romania who received prizes in technical competitions, mainly for innovations in robotics and IT. Findings suggest they held strong views on higher education. For some, the conventional roles of university were still, pertinent. However, opting out university or dropping out as a choice were unanticipated findings. This research tentatively suggests that – at least in Romania – higher education in general and technical universities in particular, may fail some young people who are innovative and highly able. The paper communicates to the international literature on university dropout by signaling that the conventional view framed by a sense of failure or social disadvantage, may not always hold. It argues that the social inclusion focus of the ‘widening agenda' cannot entirely account for some recent transformations in young people’s sense of self and their personal notions of achievement.
Isolation and Biochemical Characterization of Indigenous Rhizobium Strains from Root Nodules of Field Grown Soybean Crop

The Golden bean, soybean is one of the legumes that have the ability to fix atmospheric nitrogen. It contains 40 % vegetable protein, 20 % oil, 21% Carbohydrates and 11.5% Iron (Purohit and Kumar, 1998). The soyprotein’s high biological value, protein efficiency ratio and essential amino acid pattern make it superior to most of plant proteins. New cultivars of soybean are being developed continuously (Akhandeet al., 2007). It is therefore important to screen these cultivars on the basis of efficient indigenous Rhizobia to determine their performance in terms of yield and adaptation to different ecologies. The bacteria colonize within root nodules, where it converts atmospheric nitrogen to ammonia and provides organic nitrogenous compounds to the plants. It has been proven that plant productivity increases when the Rhizobia are present in rhizosphere. It provides the major biological source of fixed nitrogen in agricultural soils. A well established practice for maintaining soil fertility has been International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 10 Number 01 (2021) Journal homepage: http://www.ijcmas. com
Geostatistical Analysis of the Spatial Correlation between Territorial Anthropization and Flooding Vulnerability: Application to the DANA Phenomenon in a Mediterranean Watershed

Climate change is making intense DANA (depresión aislada en niveles altos) type rains a more frequent phenomenon in Mediterranean basins. This trend, combined with the transformation of the territory derived from diffuse anthropization processes, has created an explosive cocktail for many coastal towns due to flooding events. To evaluate this problem and the impact of its main guiding parameters, a geostatistical analysis of the territory based on GIS indicators and an NDVI (Normalized Difference Vegetation Index) analysis is developed. The assessment of the validity of a proposed methodology is applied to the case study of the Campo de Cartagena watershed located around the Mar Menor, a Mediterranean coastal lagoon in Southeastern Spain. This area has suffered three catastrophic floods derived from the DANA phenomenon between 2016 and 2019. The results show that apart from the effects derived from climate change, the real issue that amplifies the damage caused by floods is the diffuse anthropization process in the area, which has caused the loss of the natural hydrographic network that traditionally existed in the basin.
NUTRIENT INTAKE, DIGESTIBILITY AND RUMEN STUDIES IN GOATS FED VARYING LEVELS OF CASSAVA PEELS AND BREWER'S DRIED GRAIN

Dry matter intake, nutrient digestibility and some rumen and blood metabolites were investigated in goats fed five diets composed of cassava peel and brewer's dried grains (BDG) in the ratios of approximately 82:8, 69:20, 57:33, 44:45 and 32:58. Urea and molasses were included in each diet at 2% and 7.5% respectively and the crude protein levels of the diets were approximately 8%, 11%, 14%, 17% and 20%. There were no significant (P > 0.05) differences in Dry matter and Organic matter intake but N intake Increased up to Diet 4. There were dietary effects on the digestibility of DM, N, crude fibre, acid detergent fibre, either extract, nitrogen free extract and energy but not 0M. The highest digestibility values were obtained on diet 4 for most of the nutrients. The concentrations of rumen ammonia and blood plasma urea increased from Diet 1 to Diet 5. There were significant (P < 0.05) dietary effect on rumen fluid ph. Rumen protozoal count increased from Diet 1 to Diet 5. The depression in digestibility of Diet 5 would indicate that BDG should not be included at up to 58% in the diet of goats.
Are female business travelers willing to travel during COVID-19? An exploratory study

The outbreak of the COVID-19 pandemic has significantly impacted the tourism industry. A successful recovery from the pandemic requires a clear understanding of the ‘new normal’, including tourists’ perceived risks, safety perceptions, attitudes, and willingness to travel. Guided by the Risk Perception Attitude (RPA) Framework, this study investigated female business travelers’ risk perception attitude and willingness to travel in the COVID-19 climate. This study segmented the sample into four distinct RPA groups, including the Avoidance, Proactive, Responsive, and Indifference groups. These groups differ in some demographic characteristics and the strength of willingness to travel. Findings also showed that anxiety, perceived safety, and consumer confidence mediate the relationships between the sample’s RPA and willingness to travel, but the exact relationship varies by groups. Finally, this paper discussed the theoretical contributions and practical implications of this study.
ResDock: Protein-Protein Docking Using Shape Complementarity of Surface Residues

ResDock is a new method to improve the performance of protein-protein complex structure prediction. It utilizes shape complementarity of the protein surfaces to generate the conformation space. The use of an appropriate scoring function helps to select the feasible structures. An interplay between pose generation phase and scoring phase enhance the performance of the proposed ab initio technique.
Ultrasound Derived Measurements Ability to Predict Max Aerobic Performance

2 Abstract 1 The purpose of this study was to determine the relationship between EI, CSA, and 2 aerobic performance, and to develop a model to predict aerobic performance. Twenty aerobically 3 trained participants had a panoramic ultrasound taken of their rectus femoris and vastus lateralis 4 muscles on their right leg before performing a maximal aerobic cycling test. Ultrasound derived 5 echo intensity and cross-sectional area were compared to peak oxygen consumption (VO 2 ) and 6 maximal power output. Pearson’s product coefficients were used to determine the relationship 7 between ultrasound measurements and aerobic performance values, while a multiple regression 8 model was used to determine what indicators predict in maximal VO 2 and max watt output. 9 Results indicated a significant negative relationship between echo intensity (p<0.05) for max 10 power and VO 2 and a positive relationship with cross-sectional area (p<0.05) for max power and 11 VO 2 . Stepwise regression revealed that muscle echo intensity, cross-sectional area, and sex were 12 good predictors of both max Power and VO 2 . These findings demonstrate that higher quality 13 muscle values (lower echo intensity) and larger muscle size have a higher aerobic performance 14 output than smaller lower quality muscle. 15 16 23