Miracle-dz/UniFAR-FTUs huggingface dataset:
P2Y12 Inhibitors in Acute Coronary Syndromes: A Real-World, Community-Based Comparison of Ischemic and Bleeding Outcomes

Background Randomized trials have shown superiority of the novel P2Y12 inhibitors over clopidogrel in patients with acute coronary syndrome (ACS), but clinical benefit in the community remains controversial. Our objective was to compare the safety and efficacy of clopidogrel to ticagrelor and prasugrel in patients with ACS undergoing percutaneous coronary intervention (PCI) in a real-world population. Methods We conducted a retrospective cohort study of patients with ACS who underwent PCI and were discharged with clopidogrel, ticagrelor, or prasugrel from 2012 to 2018 within Kaiser Permanente Northern California. We used Cox proportional hazard models with propensity-score matching to evaluate the association of the P2Y12 agent with the primary outcomes of all-cause mortality, myocardial infarction (MI), stroke, and bleeding events. Results The study included 15,476 patients (93.1% on clopidogrel, 3.6% on ticagrelor and 3.2% on prasugrel). Compared to the clopidogrel group, ticagrelorand prasugrel patients were younger with less comorbidities. In multivariable models with propensity-score matching, we found a lower risk of all-cause mortality in the ticagrelor vs the clopidogrel group (HR (95% CI) 0.43 (0.20–0.92)), but no differences in the other endpoints, and no difference between prasugrel and clopidogrel among any endpoints. A larger proportion of patients on ticagrelor or prasugrel switched to an alternative P2Y12 agent vs. clopidogrel (p < 0.01), and a higher level of persistence was seen among patients on clopidogrel vs. ticagrelor (p = 0.03) or prasugrel (p < 0.01). Conclusion Among patients with ACS who underwent PCI, we observed a lower risk of all-cause mortality in patients treated with ticagrelor vs clopidogrel, but no difference in other clinical endpoints nor any differences in endpoints between prasugrel vs. clopidogrel users. These results suggest that further study is needed to identify an optimal P2Y12 inhibitor in a real-world population.
Increased Influenza Vaccination Coverage among Members of the Athens Medical Association Amidst COVID-19 Pandemic

Healthcare workers are at high risk of influenza virus infection as well as of transmitting the infection to vulnerable patients who may be at high risk of severe illness. The aim of this cross-sectional study was to investigate the prevalence and related factors of influenza vaccination coverage (2020–2021flu season), among members of the Athens Medical Association in Greece. This survey employed secondary analysis data from a questionnaire-based dataset on COVID-19 vaccination coverage and associated factors from surveyed doctors, registered within the largest medical association in Greece. All members were invited to participate in the anonymous online questionnaire-based survey over the period of 25 February to 13 March 2021. Finally, 1993 physicians (60% males; 40% females) participated in the study. Influenza vaccination coverage was estimated at 76%. Logistic regression analysis demonstrated that older age (OR = 1.02; 95% C.I. = 1.01–1.03), history of COVID-19 vaccination (OR = 2.71; 95% C.I. = 2.07–3.56) and perception that vaccines in general are safe (OR = 16.49; 95% C.I. = 4.51–60.25) were found to be independently associated factors with the likelihood of influenza vaccination coverage. Public health authorities should maximize efforts and undertake additional actions in order to increase the percentage of physicians/health care workers (HCWs) being immunized against influenza. The current COVID-19 pandemic offers an opportunity to focus on tailored initiatives and interventions aiming to improve the influenza vaccination coverage of HCWs in a spirit of synergy and cooperation.
The Relationship between Personal Factors and Behavior of Using Personal Protective Equipment on Workers

Introduction: PT. Kerta Rajasa Raya is an industrial manufacturing company in the manufacturing of Woven Bags and Jumbo Bags. From 2012 to 2017, the total incidence of work accidents reached 844 cases. One of the divisions at PT. Kerta Rajasa Raya which often experiences work accidents is the extruder division. The most frequent accidents experienced by workers in the extruder division are being hit by a cutter and pinched by a roll on the machine. One of the causes of accidents is workers' non-compliance with the use of PPE. This study aims to analyze relationship between personal factors and non-compliance behavior in using PPE by workers. Methods: This study used a quantitative approach with an observational analytical method and a cross-sectional design. The population of this study was workers in the extruder division of PT. Kerta Rajasa Raya with sample of 79 workers, who were chosen through a random sampling technique. The data collection was conducted by the means of observation sheets and questionnaires using Kendall test analysis. Results: The results of the study showed that education level (r = 0.220), years of service (r = 0.216), attitude (r = -0.244) and knowledge (r = -0.210) had a weak relationship with the behavior of using PPE. Conclusion: There was an effect in the relationship between education level, years of servicee, attitude, and knowledge of workers in using personal protective equipement.Keywords: behavior, personal factors, personal protective equipment
Novel Loss-of-Function Variants in CHD2 Cause Childhood-Onset Epileptic Encephalopathy in Chinese Patients

Developmental and epileptic encephalopathy-94 (DEE94) is a severe form of epilepsy characterized by a broad spectrum of neurodevelopmental disorders. It is caused by pathogenic CHD2 variants. While only a few pathogenic CHD2 variants have been reported with detailed clinical phenotypes, most of which lack molecular analysis. In this study, next-generation sequencing (NGS) was performed to identify likely pathogenic CHD2 variants in patients with epilepsy. Three likely pathogenic variants were finally identified in different patients. The seizure onset ages were from two years to six years. Patients 1 and 2 had developmental delays before epilepsy, while patient 3 had intellectual regression after the first seizure onset. The observed seizures were myoclonic, febrile, and generalized tonic-clonic, which had been controlled by different combinations of antiepileptic drugs. Two de novo (c.1809_1809+1delGGinsTT, p.? and c.3455+2_3455+3insTG, p.? ) and one maternal (c.3783G>A, p.W1261*) variant were identified, which were all predicted to be pathogenic/likely pathogenic. Molecular analysis was performed in patient 1, and we detected aberrantly spliced products, proving the pathogenicity of this CHD2 variant. New cases with novel variants, along with a detailed clinical and molecular analysis, are important for a better understanding of CHD2-related epileptic encephalopathy.
Negative Parenting Style and Perceived Non-Physical Bullying at School: The Mediating Role of Negative Affect Experiences and Coping Styles

At present, school bullying incidents frequently occur, attracting increased attention from researchers. In this study, we attempt to explore the impact of parenting styles on perceived school non-physical bullying. Four hundred ninety-two students in the fifth and sixth grades of eight primary schools in Zhejiang province were surveyed. To control any potential confounding factors, a randomized sampling survey method was used to distribute questionnaires. The results showed that negative affect experiences, negative coping styles, negative family parenting styles, and the perceived school non-physical bullying were all positively correlated with each other (p < 0.05). Perceived verbal bullying differed significantly by gender, grade, and only/non-only children (p < 0.05). Perceived relationship bullying significantly differed between grades (p < 0.05). The gender difference in perceived cyberbullying also reached a significant level (p < 0.05). The rejection parenting style was shown to be an important factor that may be associated with students’ perceived school non-physical bullying; it was observed to be directly associated with students’ perceived school non-physical bullying and indirectly associated with students’ perceived school non-physical bullying by influencing negative affect experiences and negative coping styles. In conclusion, negative affect experiences and coping styles may have a chain-like mediating effect between the rejection parenting style and students’ perceived school verbal bullying. Moreover, negative affect experiences may have a partial mediating effect between the rejection parenting style and students’ perceived school cyberbullying, relationship bullying, and non-physical bullying total scores. This study provides first-hand empirical data support for schools, families, and education authorities to guide and manage non-physical bullying incidents in schools. They also provide a theoretical basis for subsequent related research in the field of non-physical bullying.
A Sensitivity Study of the Thermal Tides in the Venusian Atmosphere: Structures and Dynamical Effects on the Superrotation

In order to resolve discrepancy between recent observational and numerical studies on the thermal tides in the Venusian atmosphere, we investigated by means of a general circulation model how the thermal tides are affected by the static stability in and above the upper cloud layer by using three different distributions of the static stability. The results show that the vertical structure of the semidiurnal tide, which propagates vertically, is strongly affected by the static stability. The diurnal tide, which has an equivalent barotropic structure in 62–73 km altitudes, becomes weaker with the higher static stability although its vertical structure is almost unchanged. The horizontal distribution of the thermal tides with the realistic static stability distribution, which is consistent with radio occultation measurements, agrees with the observations at the cloud top. The meridional angular momentum flux associated with the thermal tides is equatorward in low latitudes near the altitude where the equatorial zonal‐mean wind takes its maximum. This result is consistent with the recent Akatsuki UVI observations, suggesting that the thermal tides could contribute to the maintenance of the superrotation in the equatorial region near the cloud top. In the most realistic case, the zonal‐mean zonal wind is effectively accelerated at rates of 0.2–0.5 m s−1 day−1 in low latitudes at altitudes of 52–76 km by both the meridional and vertical angular momentum transports. The thermal tides also induce significant meridional heat flux, which cannot be ignored in the dynamical effect on the zonal‐mean zonal wind.
Current R and D work on near-net-shape continuous casting technologies in Europe

In the last ten years, Europe has been a very active player in the development of new continuous casting techniques for thin slabs or strip.In the thin slab area, SMS, followed by MDH, Danieli and Voest-Alpine, has shown that high speed casting of thin slabs makes it possible to produce flat products economically at the mini-mill scale.British Steel with its Horizontal Caster and the Thyssen/Usinor Sacilor/SMS consortium with the CPR technology are exploring new fields.In the strip casting area, the programs are numerous and cover most of the possible technologies from single-roll to twin roll and belt & roll processes : in Germany (Krupp - VDM), in France (IRSID), in Italy (CSM - ILVA), or in Austria (Voest - Allegheny-Ludlum). Within the European Community, the ECSC Technical Research on Steel has had an important catalytic effect, especially in the field of strip casting.
Uncertainty Shocks and the Monetary-Macroprudential Policy Mix

How should policymakers respond to uncertainty shocks? To analyze the macroeconomic eﬀects of uncertainty shocks associated with various conventional structural shocks, we develop a New Keynesian model with ﬁnancial frictions and time-varying volatility, which features a monetary-macroprudential policy mix. We ﬁnd that it matters whether the economy experiences heightened demand, supply or ﬁnancial uncertainty. More speciﬁcally, the underlying source of uncertainty matters for the shocks’ propagation, aggregate economic outcomes and appropriate policy responses. Financial uncertainty shocks appear to generate stronger eﬀects and a broad complementarity between the interest rate response and the macroprudential policy stance. Supply-side and demand-side uncertainty shocks reveal important trade-oﬀs between price stability and ﬁnancial stability objectives, despite their quantitative eﬀects being overall modest. Importantly, simulating a ﬁnancial turmoil scenario reveals that heightened ﬁnancial uncertainty exacerbates the negative macroeconomic eﬀects triggered by a ﬁrst-moment ﬁnancial shock. Our results underscore the importance of timely and accurate identiﬁcation of uncertainty surges, which is crucial for the appropriate design and calibration of the monetary-macroprudential policy mix.
COMPARISON OF THE LENGTH OF STAY OF COVID-19 PATIENTS WITH COMORBID DIABETES MELLITUS BY GENDER AT HOSPITAL SOUTH LAMPUNG IN 2021

Based on existing data, comorbid hypertension and diabetes mellitus, male gender, and active smoking are risk factors for SARS-CoV-2 infection. Diabetes mellitus (DM) is a metabolic disorder that affects insulin action in glucose absorption. A study conducted by Parveen et al showed that diabetes made the general health condition of COVID-19 patients worse. COVID-19 patients require hospitalization because COVID-19 is a highly contagious respiratory infectious disease, which can cause respiratory, physical, and psychological dysfunction of the patient, also resulting in various dysfunctions, which in turn can reduce the patient's functional capacity. This study aims to determine the difference in length of stay for COVID-19 patients with comorbid diabetes mellitus based on gender at Natar Medika Hospital, South Lampung in 2021. This type of research uses a comparative descriptive research method. The research design used in this study was cross sectional. Samples that met the inclusion and exclusion criteria were 40 patients' medical records. Gender characteristics were dominated by 24 women (60%) and 16 men (40%). A total of 14 female patients (58.3%) and 12 male patients (75%) recovered quickly. While 4 male patients (25%) and 10 female patients (41.7%) recovered for a long time. It is known that there is no significant comparison of length of stay for COVID-19 patients with comorbid diabetes mellitus based on gender where the Mann-Whitney test obtained a significance level (ρ value) of 0,466.
L EARNING T RANSFERABLE P OLICIES B Y I NFERRING A GENT M ORPHOLOGY

The prototypical approach to reinforcement learning involves training policies tailored to a particular agent from scratch for every new morphology. Recent work aims to eliminate the re-training of policies by investigating whether a morphologyagnostic policy, trained on a diverse set of agents with similar task objectives, can be transferred to new agents with unseen morphologies without re-training. This is a challenging problem that required previous approaches to use handdesigned descriptions of the new agent’s morphology. Instead of hand-designing this description, we propose a data-driven method that learns a representation of morphology directly from the reinforcement learning objective. Ours is the first reinforcement learning algorithm that can train a policy to generalize to new agent morphologies without requiring a description of the agent’s morphology in advance. We evaluate our approach on a standard benchmark for agent-agnostic control, and improve over the state of the art in zero-shot generalization. Importantly, our method attains good performance without an explicit description of morphology.
Impact of the Characteristics of Multi-source Entity Matching Tasks on the Performance of Active Learning Methods

Entity matching aims at identifying records in different data sources that describe the same real-world entity. Entity matching is the foundational technique for setting RDF links in the context of the Web of Data. By applying active learning methods for training entity matchers, it is possible to reduce the human labeling effort by selecting informative record pairs for labeling. Although active learning has been extensively studied for the two-data source matching case, it was only recently applied for the task of matching records in multi-source settings, such as the Web of Data. A multi-source matching task has certain inherent characteristics which do not apply for two-source matching tasks and which can be exploited by the active learning query strategy to further reduce the labeling effort. In this paper, we propose a set of profiling dimensions which capture these inherent characteristics of multi-source matching tasks and study their impact on the performance of different active learning methods for training entity matchers. To enable our analysis, we develop ALMSERgen, a multi-source matching task generator and curate a continuum of 252 matching tasks along the suggested profiling dimensions. We use the generated as well as five benchmark tasks to compare the performance of three query strategies: a committee-based strategy, a graph-based strategy, and a strategy that exploits grouping signals. Our results show that graph signals are relevant for multi-source matching tasks involving a large amount of records describing the same-real world entities with heterogeneous attribute values while using grouping signals is beneficial if there exists a small number of groups of matching tasks sharing the same underlying patterns.
Exploring Bhutanese primary school teachers’ technological knowledge

The COVID-19 pandemic has disrupted the normal functions of schools globally. Online learning is a new concept in Bhutan. Nonetheless, classes have begun using various online learning platforms to continue their operations during the pandemic. This study examined primary school teachers’ perceived information technology knowledge and proficiency. The participants of this study consisted of 124 primary teachers from two western districts of Bhutan. Data were collected using an online survey. The study’s findings suggested that although the majority of participants (98.2%) had access to personal digital devices, slow internet connection and high internet data subscription charges (60.7%) were cited as significant challenges. Findings also revealed that a small percentage of the participants, less than 12 (9.7%) teachers in this study preferred to teach entirely in an online learning environment. The results of multiple linear regression suggested that only technological pedagogical knowledge (TPK) [t = 2.68, p = . 008, β = . 236] and perceived information technology proficiency of teachers (PITP) [t = 3.55, p = . 001, β = . 306] were statistically significant predictors of technological knowledge (TK).
Join Cardinality Estimation Graphs: Analyzing Pessimistic and Optimistic Estimators Through a Common Lens

Join cardinality estimation is a fundamental problem that is solved in the query optimizers of database management systems when generating eﬃcient query plans. This problem arises both in systems that manage relational data as well those that manage graph-structured data where systems need to estimate the cardinalities of subgraphs in their input graphs. We focus on graph-structured data in this thesis. A popular class of join cardinality estimators uses statistics about sizes of small size queries to make estimates for larger queries. Statistics-based estimators can be broadly divided into two groups: (i) optimistic estimators that use statistics in formulas that make degree regularity and conditional independence assumptions; and (ii) the recent pessimistic estimators that estimate the sizes of queries using a set of upper bounds derived from linear programs, such as the AGM bound, or tighter bounds, such as the MOLP bound that are based on information theoretic bounds. In this thesis, we introduce a new framework that we call cardinality estimation graph (CEG) that can represent the estimates of both optimistic and pessimistic estimators. We observe that there is generally more than one way to generate optimistic estimates for a query, and the choice has either been ad-hoc or unspeciﬁed in previous work. We empirically show that choosing the largest candidate yields much higher accuracy than pessimistic estimators across diﬀerent datasets and query workloads, and it is an eﬀective heuristic to combat underestimations, which optimistic estimators are known to suﬀer from. To further improve the accuracy, we demonstrate how hash partitioning, an optimization technique designed to improve pessimistic estimators’ accuracy, can be applied to optimistic estimators, and we evaluate the eﬀectiveness. CEGs also We show MOLP acyclic
Provably-Safe Multilingual Software Sandboxing using WebAssembly

Many applications, from the Web to smart contracts, need to safely execute untrusted code. We observe that WebAssembly (Wasm) is ideally positioned to support such applications, since it promises safety and performance, while serving as a compiler target for many high-level languages. However, Wasm’s safety guarantees are only as strong as the implementation that enforces them. Hence, we explore two distinct approaches to producing provably sandboxed Wasm code. One draws on traditional formal methods to produce mathematical, machine-checked proofs of safety. The second carefully embeds Wasm semantics in safe Rust code such that the Rust compiler can emit safe executable code with good performance. Our implementation and evaluation of these two techniques indicate that leveraging Wasm gives us provably-safe multilingual sandboxing with performance comparable to standard, unsafe approaches.
National surveillance of antimicrobial use and antimicrobial resistance in Canadian feedlots

There is public demand for the demonstration of responsible antimicrobial stewardship, especially in the livestock sector. Surveillance can detect temporal trends in antimicrobial use (AMU) and antimicrobial resistance (AMR) that identify emerging issues and research priorities, support stewardship goals, and meet the growing demand for reliable data. In this project, inclusion/exclusion criteria were used to define and randomly enrol eligible feedlots in proportion to feedlot capacity and the number of fed cattle in target provinces. Data was abstracted from both veterinary dispensing and AMU records from randomly sampled production lots closed in the previous calendar year. Composite fecal samples were collected yearly from randomly selected pens of cattle within 30 days of slaughter. Fecal culture identified Escherichia coli , Salmonella spp. , Campylobacter spp. and Enterococcus spp. ; recovered isolates were subject to antimicrobial susceptibility testing (AST) via broth microdilution. Deep-guarded nasopharyngeal (NP) samples were also collected yearly from individual animals at feedlot entry and subsequent re-handling. Sample culture was performed to identify Mannheimia haemolytica, Pasteurella multocida and Histophilus somni, and recovered isolates were subject to AST as described above. Integration of longitudinal surveillance data provides a more comprehensive picture of AMU and AMR in the finishing feedlot sector over time.