Miracle-dz/UniFAR-FTUs huggingface dataset:
Filtering Clean Sample from Noisy Datasets by Creating and Analyzing Artifical Class

A new method for extracting clean samples from noisy labelled classification dataset without using any clean dataset and making any assumption related to noise rate is proposed in this work. The proposed method suggests creating artificial samples, which are mimicking noisy samples and absolutely noisy, to understand behavior of noisy samples during training of a classifier neural network. The proposed method investigates behavior of artificial samples during training to classify other samples as clean or noisy. Performance of clean sample extraction and classifier neural network trained with the extracted clean samples are observed with using proposed method. When presented results are observed, it is proved that the proposed algorithm is sucessful in terms of extracting clean dataset and provides better or similar results with compared algorithms.
Predictive Value of TIMI Risk Index for Angiographic No-reflow after Primary Percutaneous Coronary Intervention

Objective: In patients with acute coronary artery disease, the TIMI risk index (TRI), the thrombolysis in myocardial infarction (TIMI) risk score, and the global registry of acute coronary events (GRACE) risk score (GRS) have all been documented. The aim of this study was to determine the relationship between no-reflow (NRF) and admission TRI, major cardiac events (MACE), and in-hospital mortality in patients undergoing primary percutaneous coronary intervention (P-PCI). Methods: Between March and December 2019, 100 consecutive patients diagnosed with STEMI and treated with PPCI at Tanta Main University Hospital in Tanta, Egypt, were included in the research population. Each patient consented following a thorough history taking, evaluation of coronary risk factors, clinical examination, and electrocardiogram analysis. Additionally, all instances were classified using the Killip method. The GRS, TRS, and TRI values were examined. Results: The GRS, TRS, and TRI scores were significantly associated with increased NRF, MACE, and hospital mortality in STEMI patients treated with P-PCI, suggesting that TRI is a straightforward indicator with fewer parameters that accurately reflects P-PCI success. Conclusion: TRI has been demonstrated to enhance the risk of in-hospital mortality and MACE. TRI uses straightforward and cost-effective ways to test patients who have experienced a STEMI. Additionally, a high TRI may assist in identifying high-risk individuals and developing suitable treatment solutions.
Teacher characteristics and effective teaching among secondary school teachers in calabar education zone, cross river state nigeria

The study examined the influence of teacher characteristics (teacher qualification and year of teaching experience) on effective teaching among secondary school social studies teachers in Calabar education zone of Cross River State Nigeria. To achieve this objective, two hypotheses were formulated and tested. The survey research design was adopted for the study. The sample consist of One hundred and sixty-four (164) teachers in sixty (60) secondary schools in the zone. One structured questionnaire titled “Teacher Characteristics and Effective Teaching Questionnaire’’ (TCETQ) was developed by the researcher and validated by experts in Sociology of Education and in measurement/Evaluation, it had a reliability coefficient of . 75 & . 92 developed using split half reliability method. One-way analysis of variance (ANOVA) was the statistical tool used to test the hypotheses at 0.05 level of significance. The result of the analysis revealed that teachers’ qualification and year of experience significantly influence effective teaching. Based on the findings, it was recommended among others that teachers should be encouraged to frequently go for professional development long and short term courses in order to acquire knowledge that can facilitate delivery and those who have spent more years should see the need to give room for mentor-mentee relationship for the betterment of the system.
GaN metal-oxide-semiconductor high-electron-mobility-transistor with atomic layer deposited Al2O3 as gate dielectric

We report on a GaN metal-oxide-semiconductor high-electron-mobility-transistor (MOS-HEMT) using atomic-layer-deposited (ALD) Al2O3 as the gate dielectric. Compared to a conventional GaN high-electron-mobility-transistor (HEMT) of similar design, the MOS-HEMT exhibits several orders of magnitude lower gate leakage and several times higher breakdown voltage and channel current. This implies that the ALD Al2O3∕AlGaN interface is of high quality and the ALD Al2O3∕AlGaN∕GaN MOS-HEMT is of high potential for high-power rf applications. In addition, the high-quality ALD Al2O3 gate dielectric allows the effective two-dimensional (2D) electron mobility at the AlGaN∕GaN heterojunction to be measured under a high transverse field. The resulting effective 2D electron mobility is much higher than that typical of Si, GaAs or InGaAs metal-oxide-semiconductor field-effect-transistors (MOSFETs).
Transient Current Similarity-Based Protection for Interconnecting Transformers in Wind Farms

Large-scale wind farms are usually integrated into transmission systems through interconnecting transformers. Applying traditional, steady-state, fundamental frequency-based differential protection (DP) strategies in these interconnecting transformers creates challenges. First, the fault current of wind farms might be dominated by non-fundamental frequency components caused by the activation of their own protection systems during low-voltage ride-through (LVRT). Second, the fault current contains low-order components that may affect the second-harmonic restraint algorithm of the transformer DP, thereby blocking the differential relay for a long time. Therefore, a novel transient current similarity-based protection scheme is proposed to deal with these issues. The current protection scheme uses the fundamental frequency and non-fundamental frequency characteristics and can, therefore, reduce the influence of LVRT to a minimum. The proposed method uses transient current (within 15 ms after fault inception) and ignores the features of steady-state fault current. In the proposed method, an improved Hausdorff distance algorithm is used to calculate the similarity of transient current signals at both ends of the interconnecting transformer. The simulation results demonstrate that using a common sampling frequency, the proposed protection scheme reveals current information, correctly identifies magnetizing currents and internal transformer faults in a short period, and achieves superior performance in cases of abnormal data, missing data, and noise.
Heart failure in cardiomyopathies: a position paper from the Heart Failure Association of the European Society of Cardiology

Cardiomyopathies are a heterogeneous group of heart muscle diseases and an important cause of heart failure (HF). Current knowledge on incidence, pathophysiology and natural history of HF in cardiomyopathies is limited, and distinct features of their therapeutic responses have not been systematically addressed. Therefore, this position paper focuses on epidemiology, pathophysiology, natural history and latest developments in treatment of HF in patients with dilated (DCM), hypertrophic (HCM) and restrictive (RCM) cardiomyopathies. In DCM, HF with reduced ejection fraction (HFrEF) has high incidence and prevalence and represents the most frequent cause of death, despite improvements in treatment. In addition, advanced HF in DCM is one of the leading indications for heart transplantation. In HCM, HF with preserved ejection (HFpEF) affects most patients with obstructive, and ∼10% of patients with non‐obstructive HCM. A timely treatment is important, since development of advanced HF, although rare in HCM, portends a poor prognosis. In RCM, HFpEF is common, while HFrEF occurs later and more frequently in amyloidosis or iron overload/haemochromatosis. Irrespective of RCM aetiology, HF is a harbinger of a poor outcome. Recent advances in our understanding of the mechanisms underlying the development of HF in cardiomyopathies have significant implications for therapeutic decision‐making. In addition, new aetiology‐specific treatment options (e.g. enzyme replacement therapy, transthyretin stabilizers, immunoadsorption, immunotherapy, etc.) have shown a potential to improve outcomes. Still, causative therapies of many cardiomyopathies are lacking, highlighting the need for the development of effective strategies to prevent and treat HF in cardiomyopathies.
Numerical approaches to star formation and SuperNovae energy feedback in simulations of galaxy clusters

The goal of this work is to to investigate different numerical approaches and to introduce a new, physically-based sub-grid model for the ISM physics, including a treatment of star formation and Type II supernovae energy feedback (MUPPI, MUlti-Phase Particle Integrator). Our model follows the ISM physics using a system of ordinary differential equations, describing mass and energy flows among the different gas phases in the ISM inside each gas particle. The model also includes the treatment of SNe energy transfer from star-forming particles to their neighbours. We will show in this Thesis how this model is able to reproduce observed ISM properties, while also providing an effective thermal energy feedback and responding to variations in the local hydrodynamical properties of the gas, e.g. crossing of a spiral density wave in a galaxy disk. We believe the model we presented here will be particularly useful in cosmological simulations of formation and evolution of isolated galaxies and galaxy clusters. For this reason, the first application of the present Ph.D. work will therefore be to apply MUPPI to cosmological simulations, with the aim of determine how an improved treatment of star formation and feedback astrophysical processes impacts on many open issues, from the properties of simulated disk galaxies to the properties of cold baryons (galaxies and diffuse stellar component) in galaxy clusters, to the properties of the Intra-Cluster Medium in presence of an effective supernovae thermal feedback.
From Model-Centric to Data-Centric AI: A Paradigm Shift or Rather a Complementary Approach?

At its core, an artificial intelligence (AI) system mainly consists of an algorithm (code) that solves a problem by learning prototypical features from voluminous data clouds. Currently, there are two schools of thought on improving the performance of AI systems: model-centric AI and data-centric AI. In model-centric AI, developers of an AI system successively upgrade a devised model (algorithm/code), while holding the amount and type of data collected fixed. Conversely, practitioners of the data-centric AI keep the model fixed, while continuously improving the quality of data. Despite its dominance over the past three decades, model-centric AI has been recently criticised as being limited to businesses and industries where consumer platforms with hundreds of millions of users can freely rely on generalized solutions. This paper, rather than favoring any of the two approaches, supports a ‘both and’ position. We argue that overcoming the alleged limitation of model-centric AI may well require paying extra attention to the alternative data-centric approach. However, this shouldn't result in reducing interest in model-centric AI. We corroborate our position by the notion that successful ‘problem solving’ requires considering both the way we act upon things (algorithm) as well as harnessing knowledge of their states and properties (data).
The Variations in the Circle of Willis on 64-Multislice Spiral Computed Tomography

Background: The circle of Willis is an anastomotic network of arteries surrounding the base of the brain. People with effective collateral circulation will lower the risk of transient ischemic attack and stroke than those with ineffective collaterals. Objectives: The research aims to study the diameter of arteries and determine the frequency and patterns of anatomical variations in Vietnamese patients' anterior and posterior parts of the Willis polygon. Methods: This descriptive cross-sectional study was conducted in Vietnam at Bach Mai hospital between July 2010 and July 2011. A total of 102 MSCT 64 examinations were conducted on adult patients with suspected cerebrovascular diseases such as stroke, cerebral infarction, etc. The average internal diameter of arteries was estimated using descriptive statistics. Wilcoxon signed-rank test paired t-test to compare diameter on the left and right sides. Results: There are four types of anterior parts and twelve types of posterior parts in the circle of Willis. Of the 102 subjects, 29.41% experienced the anterior part of circle of Willis (CoW), in which aplastic anterior communicating artery (ACoA) is the most common type (21.57%). 70.59% of all subjects have variations in the posterior part of CoW, and bilateral aplastic posterior communicating artery (PCoA) is the most common type (20.59%). We also report the diameter of cerebral artery segments of the circle of Willis. There are six variations in the circle of Willis based on the correlation between pre communicating part P1 of posterior cerebral artery (PCA) (P1) and PCoA diameter. The most popular type is adult configuration (53.92%). Conclusions: We provided the prevalence and the pattern of the brain vascular variants of the circle of Willis in a group of patients diagnosed with ischemic stroke. Understanding the variations and diameter of the circle of Willis is of great importance in interventional radiology for various endovascular interventions in Vietnamese patients.
Cancer Histology and Natural History of Patients with Lung Cancer and Venous Thromboembolism

Simple Summary Cancer is a widely heterogeneous disease, and the natural history of patients with cancer-associated thrombosis may differ according to the cancer site. Lung cancer is the most common malignancy, and a leading cause of death. A number of studies in the literature suggest that patients with adenocarcinoma may have a worse outcome than those with squamous or other types of lung cancer. The aim of the current study was to assess the potential impact of lung cancer histology on the incidence rates of VTE recurrences, major bleeding, or death appearing during the course of anticoagulation, in patients with lung cancer and VTE. Our findings, obtained from a large series of consecutive patients with lung cancer and VTE (482 patients), reveal important differences between patients with adenocarcinoma vs. other histologies in their outcomes during anticoagulation. This might likely help to design better therapeutic strategies for patients with lung cancer. Abstract Background: In patients with lung cancer and venous thromboembolism (VTE), the influence of cancer histology on outcome has not been consistently evaluated. Methods: We used the RIETE registry (Registro Informatizado Enfermedad TromboEmbólica) to compare the clinical characteristics and outcomes during anticoagulation in patients with lung cancer and VTE, according to the histology of lung cancer. Results: As of April 2022, there were 482 patients with lung cancer and VTE: adenocarcinoma 293 (61%), squamous 98 (20%), small-cell 44 (9.1%), other 47 (9.8%). The index VTE was diagnosed later in patients with squamous cancer than in those with adenocarcinoma (median, 5 vs. 2 months). In 50% of patients with adenocarcinoma, the VTE appeared within the first 90 days since cancer diagnosis. During anticoagulation (median 106 days, IQR: 45–214), 14 patients developed VTE recurrences, 15 suffered major bleeding, and 218 died: fatal pulmonary embolism 10, fatal bleeding 2. The rate of VTE recurrences was higher than the rate of major bleeding in patients with adenocarcinoma (11 vs. 6 events), and lower in those with other cancer types (3 vs. 9 events). On multivariable analysis, patients with adenocarcinoma had a non-significantly higher risk for VTE recurrences (hazard ratio [HR]: 3.79; 95%CI: 0.76–18.8), a lower risk of major bleeding (HR: 0.29; 95%CI: 0.09–0.95), and a similar risk of mortality (HR: 1.02; 95%CI: 0.76–1.36) than patients with other types of lung cancer. Conclusions: In patients with lung adenocarcinoma, the rate of VTE recurrences outweighed the rate of major bleeding. In patients with other lung cancers, it was the opposite.
Simple Switching Strategies for dv/dt Reduction in SiC-Device-Based Modular Multilevel Converters

This article presents two simple strategies for output dv/dt reduction in modular multilevel converters through coordination of the switching transients of the submodules. The first method is achieved by adding a delay time between the switching transients of two submodules, which would be switched simultaneously in regular switching strategies of modular multilevel converters. The second method is to inject a reverse dv/dt to the converter's output by switching redundant submodules. Both methods do not affect the switching speeds of the semiconductor devices and require no additional hardware components. They can be applied with different modular multilevel converters modulation strategies. Circuit analysis of the proposed methods and their effects on the converter operation are presented. Simulation and test results of a 1.7-kV SiC-device-based modular multilevel converter are provided to validate the circuit analysis. It is shown that the proposed methods can reduce the converter's output dv/dt to half of a single switching device's dv/dt.
Design of Multi-meter Integration Scheme Based on Electricity Information Acquisition System

Aiming at the characteristics of many kinds of energy metering equipment and low efficiency, a multi-meter integration scheme based on electricity information acquisition system is proposed. As energy metering point number multiplied, electricity information collection system is difficult to adapt to existing power, water, gas, heat energy comprehensive measurement for the development of new forms. The system architecture and communication protocol is difficult to meet the application requirements of multi-meter integration acquisition. In this paper, through the analysis of electricity, water, gas, heat a single acquisition system data acquisition and transmission characteristics, the multi-meter integration heterogeneous network architecture is designed, which can implement centralized collection for the tables data of water, heat, gas and electricity. It can not only meet the water, electricity, gas and heat units for each table data collection, and can meet the basic home users can use data query requirements. That is to expand the new business of power system marketing, and provide support for the efficient social service of water, gas, heat and other public service.
Smoking Is Positively Related and Alcohol Consumption Is Negatively Related to an Increased Risk of Meniere’s Disease

A few prior researchers presumed the impacts of smoking and alcohol on the risk of Meniere’s disease (MD). This study investigated the relationship between smoking, alcohol consumption, and obesity with Meniere’s disease in an adult population. The ≥40-year-old population in the Korean National Health Insurance Service-Health Screening Cohort 2002–2019 was analyzed. A total of 15,208 patients with MD were matched with 499,658 comparison participants. The current smoking, alcohol consumption, and past medical histories were collected. Body mass index (BMI) was grouped into underweight, normal, overweight, obese I, and obese II. The odds of histories of smoking and alcohol consumption and the BMI group for MD were analyzed using conditional logistic regression analysis. These associations were further analyzed in subgroups of age, sex, smoking, alcohol consumption, and BMI. In the overall adult population, smoking and alcohol consumption did not show an association with MD. Being underweight was linked with lower odds for MD (adjusted OR [aOR] = 0.80, 95% CI = 0.68–0.93, p = 0.004). In the male group, smoking was positively associated with MD (aOR = 1.08, 95% CI = 1.00–1.17, p = 0.043), while alcohol consumption was negatively related to MD (aOR = 0.87, 95% CI = 0.81–0.94, p < 0.001). Being underweight was related to a lower risk of MD. In adult men, smoking was predicted to increase, while alcohol consumption was predicted to decrease the risk of MD.
Una revisión de los estimadores óptimos de calibración usando métodos de cuasi-verosimilitud en muestreo bifásico A Revision about Optimal Calibration Estimators Using Quasi-Likelihood Methods under Two-Phase Sampling

Optimal calibration estimators use auxiliary information to produce more efficient estimates. When the auxiliary information is not available, we proceed to design a two-phase sampling where the auxiliary information is gather in the first phase and it is used in the design or estimation of the second phase. We compare the efficiency of the optimal calibration estimators when the relationship between the variable of interest and the auxiliary information is both linear and log-linear. In this last escenario, we make use of the quasi-likelihood method in order to estimate the super-population parameters.
SECURE THE LOGISTICS INFORMATION DATA USING BLOCK CHAIN

A searching and encrypted logistic informational blockchain data query method is presented to ensure the safety of logistics information and to query content quickly and efficiently utilizing’s searchable encryption algorithms paired with the properties of the block chain. The logistical data is first separated into different data files, then encrypted using an asymmetric searchable encryption technique and saved in the cloud server. Each information keyword index is extracted and published to the blockchain. This solution is available at all times. Data can be updated and queried.The research directs in-depth on smart contract technology in algorithm to make query efficiency more better . At last the scheme of this article is solve errorless,completeness and safety . It proves scheme feasibility.
Knowledge, Attitude and Practice of Pap Smear Screening among Women in Gombak District, Selangor

Introduction: Cervical cancer is the third most common cancer among women in Malaysia with an estimation of 1,682 new cases and 944 deaths as reported in the year 2018, and these statistics are expected to increase by the year 2025. Early detection of cervical cancer through Pap smear screening may prevent an increase in incidence. Hence, this study was aimed to determine the knowledge, attitude and practice (KAP) towards Pap smear screening in the urban community. Methods: Cross-sectional study was conducted to determine the prevalence of Pap smear screening and association with KAP among 246 randomly selected women. Primary data was collected by using a self-administered online questionnaire and analysed using SPSS version 23. Results: Prevalence of Pap smear screening was recorded at 46.6%. Mean score for knowledge was 0.858±0.247, the attitude was 0.847±0.156 and practice was 0.423±0.426. There is a significant difference in KAP towards Pap smear screening (p<0.001) whereby practice was lower compared to knowledge and attitude. Although women have good knowledge and attitude towards the topic of Pap smear screening, it does not associate in promoting good practice (V=0.732). Conclusion: KAP analysis revealed that practice is highly correlated with prevalence. Socio-culture factors and fatalistic attitude may play a role in the low results of practice. Conducting more Pap smear awareness campaign with relation to socio-culture may help improve the practice of Pap smear.