Miracle-dz/UniFAR-FTUs huggingface dataset:
Gaia Data Release 2

Context. The second Gaia data release is based on 22 months of mission data with an average of 0.9 billion individual CCD observations per day. A data volume of this size and granularity requires a robust and reliable but still flexible system to achieve the demanding accuracy and precision constraints that Gaia is capable of delivering. Aims. We aim to describe the input data, the treatment of blue photometer/red photometer (BP/RP) low-resolution spectra required to produce the integrated GBP and GRP fluxes, the process used to establish the internal Gaia photometric system, and finally, the generation of the mean source photometry from the calibrated epoch data for Gaia DR2. Methods. The internal Gaia photometric system was initialised using an iterative process that is solely based on Gaia data. A set of calibrations was derived for the entire Gaia DR2 baseline and then used to produce the final mean source photometry. The photometric catalogue contains 2.5 billion sources comprised of three different grades depending on the availability of colour information and the procedure used to calibrate them: 1.5 billion gold, 144 million silver, and 0.9 billion bronze. These figures reflect the results of the photometric processing; the content of the data release will be different due to the validation and data quality filters applied during the catalogue preparation. The photometric processing pipeline, PhotPipe, implements all the processing and calibration workflows in terms of Map/Reduce jobs based on the Hadoop platform. This is the first example of a processing system for a large astrophysical survey project to make use of these technologies. Results. The improvements in the generation of the integrated G–band fluxes, in the attitude modelling, in the cross-matching, and and in the identification of spurious detections led to a much cleaner input stream for the photometric processing. This, combined with the improvements in the definition of the internal photometric system and calibration flow, produced high-quality photometry. Hadoop proved to be an excellent platform choice for the implementation of PhotPipe in terms of overall performance, scalability, downtime, and manpower required for operations and maintenance.
Variability in epifaunal assemblages between Sargassum muticum and Zostera marina: a functional group approach

Marine macrophytes are globally important to coastal ecosystems, providing refugia, nutrients and important ecological processes. The structure and composition of macrophytes have a bottom-up effect on the epifauna they support. Due to their wide-reaching effects, invasive algae are considered one of the greatest threats facing marine ecosystems. Sargassum muticum is a Japanese algae increasing its non-native range in coastal habitats globally. A highly dispersive algae, able to colonise soft substratum, it is considered a threat to seagrass beds across the North East Atlantic. In Salcombe Estuary, Devon, beds of Zostera marina have seen increasing levels of invasion by S. muticum. Here, the epifaunal communities of Z. marina and S. muticum within the estuary were sampled and analysed. Z. marina hosted 1041 individuals from 36 taxa, with 11 unique species, whilst S. muticum hosted 2106 individuals from 37 taxa with 12 unique species. The community assemblages of S. muticum were characterised by higher abundance but lower diversity and species richness. Trophic functionality is compared using the functional group approach designed by Fauchald and Jumars (1979), with S. muticum hosting higher levels of surface detritivores and jawed carnivores, whilst Z. marina hosted higher numbers of suspension feeders and herbivores. Across both plants, a positive relationship was found between species diversity and functional diversity. The results suggest that a change in macrophyte assemblage could radically alter associated assemblages and thus functionality. Due to Covid-19 restrictions, data sampling was limited to one weekend in late October, so further studies would be required to test temporal and spatial variability between habitats.
Why Has PEAD Declined Over Time? The Role of Earnings News Persistence

Post-earnings-announcement drift (PEAD) has declined significantly in recent decades, and the prevailing explanation is that increased arbitraging activities have led to its attenuation. We propose a new explanation based on a decline in the persistence of earnings news, which causes a deterioration in the usefulness of the PEAD anomaly signal. In our empirical analyses, we show that the persistence of standardized unexpected earnings (SUE) declines over time and variation in SUE persistence significantly explains variation in PEAD over time. In fact, once we account for declining SUE persistence, the downward trend in PEAD is no longer significant. The role of SUE persistence in explaining declining PEAD survives when we control for several proxies for arbitraging activities. Overall, we conclude that the decline in the persistence of earnings news is a key driver behind the attenuation of PEAD. the sample selection. We a final firm-quarter sample of 526,715 observations, which varies in subsequent tables due to missing
Repurposed prophylaxis strategies for COVID-19: a review

Efficient therapeutic strategies are needed to counter the COVID-19 pandemic, caused by the SARS-CoV-2 virus. In a context where specific vaccines are not yet available, the containment of the pandemic would be facilitated with efficient prophylaxis. We screened several clinical trials repositories and platforms in search of the prophylactic strategies that are investigated against COVID-19 in late April 2020. Up to we found 68 clinical trials targeting medical workers (n=43, 63%), patients relatives (n=16, 24%) or individuals at risk of severe COVID-19 (n=5, 7%). (Hydroxy)chloroquine was the most frequently evaluated treatment (n=46, 68%), before BCG vaccine 7%). Sixty-one (90%) clinical trials were randomized with a median of planned 600 (IQR The investigated prophylaxis strategies cover both pre- and post-exposure prophylaxis and study numerous immune enhancers and antivirals, although most research efforts are focused on (hydroxy)chloroquine.
CitySAT: a System for the Semantic Answer Type Prediction Task

This paper describes the CitySAT system that we developed for the DBpedia Answer Type (AT) prediction task of the SMART 2021 challenge. The challenge can be interpreted as a multi-class classification task that takes natural language questions and returns pairs of the predicted answer category and types. For training, we merged the SMART 2021 DBpedia dataset with the 2020 dataset given for the previous year’s AT task. In this study, three local Machine Learning (ML) models are deployed to cover the three different types of task and question (category prediction, literal type prediction and resource type prediction). The best model obtains a 98.36% accuracy for the category prediction using a Logistic Regression (LR) classifier. Similarly, another LR model results in 97.90% accuracy for the literal type prediction task. Lastly we also built a Multi-Layer Perceptron (MLP) model to deal with several ontology classes ( ∼ 760 classes for DBpedia) in the resource type prediction task. The best MLP model achieves 79.34% on the merged training dataset. The final system output obtained a 98.4% accuracy, 84.2% NDCG@5, and 85.4% NDCG@10 on the (official) test dataset.
Balancing Equity and Effectiveness for Electric Vehicle Subsidies

Subsidizing greenhouse-gas-reducing consumer products is politically popular, but recent literature on subsides ignore effects on product entry and interactions with other climate policies. This paper considers welfare and distributional effects of subsidies for electric vehicles. I compare subsidy scenarios using a new equilibrium model of the US new vehicles market that endogenizes vehicle entry and accounts for interactions among subsidies and other policies. Income-based subsidies are more effective and more equitable than uniform subsidies. Accounting for interactions with other policies substantially reduces estimated efficacy and increases progressivity of income-based subsidies.
Ryegrass endophyte-related heat stress in cattle

Heat stress in Northland cattle has been shown to be similar to tall fescue toxicosis as described in south-east USA, but incidence has not been correlated with the presence of tall fescue on farms. Tall fescue toxicosis results from grazing endophyte-infected tall fescue, and is caused by the alkaloid ergovaline. Cases are described of cattle suffering typical symptoms of ergovaline poisoning, though they had negligible access to tall fescue. Pasture surveys have shown ergovaline levels in ryegrass pastures to often be sufficient to cause toxicosis. Ambient temperatures interact with ingestion of toxin to cause heat stress. It is suggested that usual weather conditions in New Zealand temper the negative effects of the toxin. Higher temperatures increase the levels of ergovaline in pasture, and increase the sensitivity of livestock to it. Heat stress in North Island cattle probably usually results from the interaction of particular environmental conditions with the grazing of perennial ryegrass.
Surgical Site Infection following Emergency Caesarean Section – incidence and associated risk factors

Aim: The aims of this study were to 1) quantify the incidence of Surgical Site Infection (SSI) in patients who have had an emergency Caesarean Section (CS); 2) identify the risk factors and associated factors that play a major role in the development of those SSI’s. Methods: A retrospective cohort study with data collected from Mid Yorkshire Trust Pinderfields General Hospital, Wakefield. The study sample consisted of 206 patients (101 SSI patients and 105 non-SSI patients) who had emergency CSs carried out between January and December 2017. Simple logistic regression and multiple logistic regression were then carried out to determine any significant risk factors. Results: From the period between January and December 2017 there were 105 SSIs for patients who had undergone an emergency CS. Patient BMI (kg/m 2 ) was a statistically significant predictor at the 5% significance level for SSI occurrence (p<0.001). The odds ratio of 1.17 indicated that a unit change in BMI was associated with raised odds of SSI of 17%. Other risk factors including: patient age had a P value of 0.102 and O.R. 1.05, Recoded diabetes status had a P value of 0.142 and O.R. 2.10 and Pre-operative vaginal swab taken had a P value of 0.114 and O.R. 0.594 making them all non-significant risk factors. Conclusion: This study was carried in order to help add knowledge to an area currently lacking it, as at the time of writing there are no studies that have investigated SSI and its associated risk factors for emergency CS. Advances in this area of study would allow for the improving of guidelines and thus patient care, giving medical professionals the information they need to reduce SSI’s in patients and therefore reduce patient suffering. This study identified BMI (kg/m 2 ) as the only significant risk factor for the development of an SSI in emergency CS. Further research will be needed to be conducted however, to strengthen this study’s findings and improve upon the lack of knowledge for emergency CS and its associated risk factors. C-section C-section risk factors, obesity risk factor for C-section, obesity financial obesity figures UK, skin closure techniques and materials caesarean section, smoking wound healing, smoking surgical site infection, C-section NICE guidelines, SSI diabetes, economic burden SSI’s.
Preconditions of teachers’ collaborative practice: New insights based on time-sampling data

Previous findings on the preconditions of teachers’ collaboration are inconsistent. This might be related to the research methods used to assess the teachers’ collaborative practice. Retrospective assessments by self-report on a relatively general level prevail. The validity of these self-reports is limited, however. In contrast, time-sampling methods have the potential to investigate collaborative practice specifically and longitudinally as a day-to-day process over time validly. But to date, no research on collaborative activities in schools based on time-sampling methods is available. In this study, we extended the current state of research by analysing the variability and preconditions of teachers’ collaboration at four secondary schools over three weeks based on time-sampling data collected by a newly developed online practice log. Recorded were collaborative activities outside of teaching with a focus on administrative and organisational tasks and on school subject-specific tasks. The results revealed that teachers’ collaborative activities varied significantly between weekdays, showing a linear decrease from Monday to Friday, regardless of the content of collaboration. Collaboration that focused on administrative-organisational tasks seemed to be quite stable over the weeks and was hardly influenced by teachers’ individual characteristics. Instead, collaborative activities that focused on school subject-specific tasks varied significantly between weeks; moreover, they were influenced by teachers’ leadership role and gender. The results indicate that rather stable routinised patterns of day-to-day collaboration over the weeks decrease the influence of teachers’ individual characteristics. Hence, by collecting data that is closer to content-specific day-to-day collaborative activities, time-sampling methods can be seen as a driver for new insights.
A study on stock price prediction through analysis of sales growth performance and macro-indicators using artificial intelligence

Since the stock price is a measure of the future value of the company, when analyzing the stock price, the company's growth potential, such as sales and profits, is considered and invested in stocks. In order to set the criteria for selecting stocks, institutional investors look at current industry trends and macroeconomic indicators, first select relevant fields that can grow, then select related companies, analyze them, set a target price, then buy, and sell when the target price is reached. Stock trading is carried out in the same way. However, general individual investors do not have any knowledge of investment
Poor Working Relationship between Doctors and Hospital Managers: A Systematic Review

What This Study Adds We conducted a systematic review on the effect of tension between doctors and hospital managers on the quality of care provided in hospital or healthcare centres; 15 (qualitative, quantitative and mixed) primary papers were reviewed. This qualitative systematic study found considerable evidence of organisational factors that contributes to poor working relationships between doctors and managers Abstract Background: The problem of poor relationships between doctors and hospital managers is a common feature of many healthcare systems worldwide, including the United Kingdom's NHS. Despite the significant impact that a poor working relationship between doctors and managers could have on the quality of care, there is limited research in this area. Objectives: To investigate the organisational factors, contributing to the poor working relationship between doctors and hospital managers with a view to recommend potential solutions to address them. Methods: We performed a systematic literature review; a comprehensive search of AMED, MEDLINE, CINAHL, Plus with Full Text, SportDiscus and EBSCO EBooks from January 2000 to July 2019 and updated in March 2022, and no further article was found that meets the selection criteria. Mixed methods, qualitative studies and quantitative studies published in English language in peer reviewed journals between January 2000 and March 2022 were included. Study selection, data extraction and appraisal of study were undertaken by the authors. Quality criteria were selected from CASP Checklist. Results: A total of 49,340 citations were retrieved and screened for eligibility, 41 articles were assessed as full text and 15 met the inclusion criteria. These include 2 mixed method studies, 8 qualitative studies, and 5 quantitative studies. A thematic analysis was undertaken, and narrative summaries used to synthesise the findings. Conclusion: The findings of this systematic review show strong evidence of poor collaboration and lack of effective communication that contribute to poor working relationships between physicians and hospital administrators. The results from this review may guide the development of a hospital plan that involves both doctors and managers in the decision making process regarding the quality of patient care, which could potentially enhance the relationship between the two groups as it would build trust between them.
Effectiveness of COVID-19 mRNA vaccine booster dose relative to primary series during a period of Omicron circulation

During a period of Omicron variant circulation, we estimated relative VE of COVID-19 mRNA booster vaccination versus primary two-dose series in an ongoing community cohort. Relative VE was 66% (95% CI: 46%, 79%) favoring the booster dose compared to primary series vaccination. Our results support current booster recommendations.
Assessment of magnitude and spectrum of cardiovascular disease admissions and outcomes in Saint Paul Hospital Millennium Medical College, Addis Ababa: A retrospective study

Abstract Background: Cardiovascular diseases remain the leading cause of death in the world and approximately 80% of all cardiovascular-related deaths occur in low and middle income countries including Ethiopia. Methods: The aim of the study was to assess the magnitude and spectrum of cardiovascular admissions and its outcomes among medical patients admitted to both Medical Ward and ICU of St. Paul Teaching Hospital from 1st of Jan 2020 to 1st of Jan 2021. Results : Out of 1,165 annual medical admissions, the prevalence of cardiovascular diseases(CVD) was 30.3%. About 60%(212) of patients had advanced congestive heart failure of diverse causes. Hypertensive heart disease (HHD) was the next predominant diagnosis (41%), and also the leading cause of cardiac diseases followed by rheumatic valvular heart disease(RVHD) (18%) and Ischemic heart disease (IHD) (12.2%), respectively. Yong age, rural residence and female sex were associated with RVHD(p=0.001). Stroke also accounted for 20% of CVD admission (hemorrhagic stroke-17% Vs Ischemic stroke-83%). Hypertension was the predominate risk factor for CVD and present in 46.7%(168) of patients. The mean hospital stay was 12days and in hospital mortality rate was 24.3%, septic shock being the commonest immediate cause of death followed by fatal arrhythmia, brain herniation, and massive PTE. Conclusion: Cardiovascular diseases were highly prevalent in the study area causing significant morbidity and mortality. Therefore, Comprehensive approach is needed to timely screen for risk reduction, delay or prevent diseases development and subsequent complications.
Understanding and comparing the globe-trotting cancer patient with the locally managed patient: A case control study

Abstract Medical tourism is characterized by people seeking treatment abroad for various medical conditions due to varied reasons, many of whom benefit from specialized care for non-communicable diseases. Conversely, there are associated negative effects such as medical complications and weakened health systems. Currently, there is paucity of scientific evidence on factors influencing seeking treatment benefits abroad. This study sought to compare patient-related factors associated with choice of cancer treatment center locally or abroad, to understand reasons for seeking treatment outside Kenya. Materials and Methods As a case-control study, 254 cancer patients were randomly sampled to compare responses from those who chose to receive treatment abroad or in Kenya. The cases were recruited from Ministry of Health while the controls from Kenyatta National Hospital and Texas Cancer Center. Data was analyzed using SPSS Software Version 21. Descriptive statistics, bivariate and multiple logistic regression analysis was carried out. Level of significance was set at 5%. Results Out of 254 respondents, 174 (69.5%) were treated for cancer in Kenya and 80 (31.5%) in India. We found that cost effectiveness was a significant factor for over 73% of all respondents. The study revealed independent predictors for seeking treatment in India were: monthly income higher than US$ 250; every additional month from diagnosis increased likelihood by 1.16 times; physician advice (Odds Ratio(OR) 66; 95% Confidence Interval(CI) 7.9 -552.9); friends and family (OR 42; 95% CI 7.07-248.6); and perception of better quality of care (OR 22.5; 95% CI 2.2-230.6). Conclusion Reasons patients with cancer sought treatment in India are multifactorial. Several of these can be addressed to reverse out-ward bound medical tourism and position Kenya to be a regional hub as per Kenyas development blueprint. It will require strengthening the health system accordingly and sensitizing the medical fraternity and general public on the same.
Dynamics of anti-Spike IgG antibody titer after the third BNT162b2 COVID-19 vaccination in the Japanese health care workers

Introduction: Many countries are administering a third dose of some coronavirus disease 2019 (COVID-19) vaccines, but the evaluation of vaccine-induced immunity is insufficient. This study aimed to evaluate anti-spike immunoglobulin G (IgG) titers in the health care workers after the third BNT162b2 vaccination. Methods: Dynamics of anti-spike IgG titers were assessed two months following the third BNT162b2 vaccination in 52 participants. All participants received the primary series of vaccination with BNT162b2 and received the third dose eight months after the second vaccination. Associations between anti-spike IgG titer, baseline characteristics, and adverse reactions were also evaluated. Results: The geometric mean titer of anti-spike IgG one month after the third vaccination was 17400 AU/ml, which increased to approximately 30 times immediately before the third vaccination and approximately twice that one month after the second vaccination. In addition, participants with anti-spike IgG titers less than 10000 AU/ml after the second vaccination tended to have higher increases in ant-spike IgG titers before and after the third vaccination. The decline rate of anti-spike IgG was significantly slower after the third vaccination as 35.7% than that after the second vaccination as 59.1%. The anti-spike IgG titer was significantly negatively associated with age (r = -0.31). Participants who had a headache at the vaccination showed significantly higher anti-spike IgG titer than those without a headache. Conclusions: The anti-spike IgG induced by primary immunization with BNT162b2 waned over time. The third dose of BNT162b2 substantially increased the anti-spike IgG with a slower decline rate.