Miracle-dz/UniFAR-FTUs huggingface dataset:
Review of Electrocardiography on Inferior Wall Myocardial Infarction

JIM and LAU : Review of Electrocardiography on Inferior Wall Myocardial Infarction. Inferior wall myocardial infarction is a very interesting clinical entity. Apart from different extent of left ventricular infarction, it may present with concomitant right ventricular or atrial infarction. In addition, it is also associated with high incidence of brady-and tachy-arrhythmias. The infarct-related artery can either be the right coronary, left circumflex, or even left anterior descending artery. The short-term prognosis is greatly affected by the development of these complications. ECG is an indispensable tool for the management of this clinical condition. This review concisely illustrates the basic principles of ECG, and gives a brief summary on the diagnostic, topographic, and prognostic value of ECG on the clinical management of inferior wall myocardial infarction. (J HK Coll Cardiol 2007;15:12-31) Acute myocardial infarction, electrocardiography, ST-segment elevation
Uterine incision closure: Is it the culprit in the cesarean scar niche and related complications?

placenta accreta spectrum, rupture/ dehiscence of a the of an early pregnancy on the scar or in the niche at the site of a prior cesarean delivery (CD); it has an incidence of 1 per 1,000 pregnancies. An estimated 52% of CSPs occur after even just one CD. CSP been linked to placenta accreta spectrum and has been shown to be its precursor. Both CSP and placenta accreta spectrum can be consequences of CD and share a common histology of villous or placental attachment/ invasion into the cesarean The incidence of placenta accreta spectrum has risen from 1 in 4,000 live births in the to in 2,500 the in 2016, the incidence of placenta accreta spectrum was reported as 1 per 272 live births.
Attitude and Adherence to COVID-19 Standard Operating Procedures (SOPs) among Malaysians

Introduction: The COVID-19 cases in Malaysia increased dramatically and every individual must comply with Standard Operating Procedures (SOPs) to prevent the high burden on health facilities. Since it has no effective treatment; nonetheless, early recognition of the disease and applying prevention strategies will help to mitigate the virus propagation. This study aimed to determine the attitude and adherence of COVID SOPs among Malaysians. Materials and Methods: A cross-sectional questionnaire-based study was conducted through an online and a total of 206 participants from different states of Malaysia took part in this survey by convenience sampling method. Those who scored ≥ 80% were considered as having a favourable attitude and good adherence to COVID SOPs. Chi-square test and multiple logistic regression were applied to assess the association between sociodemographic characteristics of the respondents, attitude and adherence of COVID SOPs. A p-value less than 0.05 was considered statistically significant. Results: More than two thirds of the respondents had favourable attitude (70.9%; 95% CI: 64.7%, 77.1%) and good adherence to SOP (69.4%; 95% CI: 63.1%, 75.5%). A compliance of < 60% . with SOP measures like carrying hand sanitizers, avoiding visiting the crowded places and red zone areas were common among the respondents. The finding of this study showed that gender has a significant association with attitude (p=0.002). Females were three times more likely to have a positive attitude than males. Conclusion: The Malaysian population studied exhibited a good knowledge, attitude and practice with regard to COVID 19 SOP’s. Self-regulation is notably higher among the Malaysian population however, observing total compliance will require enforcement by the authorities.
Smallholder farmers’ knowledge, perception and practice in pesticide use in South Western Ethiopia

Pesticides are often used to manage pests and enhance agricultural productivity. However, pesticides have negative impacts on human and animal health as well as on the environment if not properly used and handled. Hence, this study aimed at assessing the knowledge, attitude and practices of smallholder farmers in agricultural pesticides utilization in three major cereal producing districts of Jimma zone, Ethiopia. For the study original data collected from 140 randomly selected farmers using a pre-tested structured questionnaire and key informant interviews with district level experts were used. The results showed that 98% of the sample households use pesticides; of which 45% purchase pesticides from open market. Furthermore, while the herbicide 2, 4-D was used by 57% of the households, 48% of the respondents did not know the type of pesticides they used. Only 30% read the instructions and less than 40% understand the signs on pesticide containers. Most households perceived that pesticides are useful; however, 98.5% of them witnessed its negative effects. Some health related discomforts reported include nausea, vomiting, headache, and skin irritation with the respective shares of 68%, 18%, 12% and 2%. Ninety five percent of the respondents believed that it is possible to minimize the negative effects of pesticides. But, 80% use normal clothes for spraying pesticides; 40% wash spray equipments in yard; 23% throw pesticide containers in open field and 32% reuse pesticide containers for other purposes. Findings of the study revealed that there is mismatch among knowledge, perception and practice of the farmers. Hence, it is important to carefully design pesticides supply chain and train farmers to create awareness about the careful use of pesticide, and disposal of the leftover and containers.
How Do Different Types of University Academics Perceive Work from Home Amidst COVID-19 and Beyond?

The COVID-19 pandemic resulted in a massive and unintentional shift to work from home (WFH) or working remotely, as well as broad adoption of web-based platforms. The goal of this research is to uncover the attitudes to WFH among different types of academics in the Sri Lankan higher education sector. An online questionnaire survey was conducted amidst a severe COVID-19 wave during June–September 2021, and 337 valid responses were received. The questionnaire contained 49 questions under four sections excluding demographic questions. The gathered data were analysed using multiple regression models. Results of the study ascertained a significant (p < 0.01) positive attitude among academics towards online teaching (academic orientation), other than academics who from disciplines with more practical components, and there was a significant (p < 0.01) positive attitude among academics to conducting research (research orientation) while WFH. Further, the findings indicate a significant (p < 0.01) negative attitude to WFH when disseminating knowledge and engaging in community services with various stakeholders. When considering the criticality of demographics variables in the new normal, a hybrid working model can be introduced by reaping the benefits of WFH based on different types of academic orientations and their favourability towards the WFH model, rather than reverting to a full physical academic working environment. As a developing country, Sri Lanka can formulate policies on effective hybrid working models for academics to realise the potential from the lessons learned. This experience will enable the country to accomplish or move towards accomplishing the fourth goal of SDGs, quality education by 2030.
An Observational Study to Correlate Maternal Serum and Cord Blood Zinc with Fetal Growth Restriction

Objectives: To study maternal serum and cord blood zinc as causal factor in fetal growth restriction and to find out correlation, if any, between birth weight and maternal serum and cord blood zinc levels. Material and methods: This prospective observational study was carried out on 120 term pregnant women who attended the Department of Obstetrics and Gynaecology, Pt. B. D. Sharma PGIMS, Rohtak, of which, 60 had FGR babies and 60 had normal growth babies. Serum zinc levels were studied in these women and cord blood zinc levels in their neonates. Results: After adjusting for other variables in the multivariable model we found that the mean serum zinc level in study group women was 115.65±6. 36µg/dL at term and 116.91±6. 39µg/dL in late preterm neonates. Also, we found that the mean cord blood zinc levels were 136.03±9. 25µg/dL in study group and 135.24±4. 72µg/dL in control group in term neonates while in late preterm neonates, it was 135.06±9. 52µg/dL in study group and 133.18±6. 58µg/dL in control group. A statistically significant positive correlation was found between birth weight of FGR babies with the maternal serum zinc levels at term and between cord blood zinc levels and birth weight in both preterm and term neonates. Conclusion: Zinc is an essential micronutrient during pregnancy and is needed for fetal development and placental functions. Its role in fetal growth and development, need of supplementation in pregnant women needs to be studied further to demonstrate better clinical outcomes in women with growth retarded fetus. Keywords: Cord blood zinc, Fetal growth restriction, late preterm neonates, maternal zinc, micronutrients, term neonates.
Complex cyanotic congenital heart disease presenting as congenital heart block in a Nigerian infant: case report and literature review

Background: The prevalence of cyanotic congenital heart diseases (CCHD) varies world wide. It accounts for a third of all congenital heart diseases. The common CCHD includes Tetralogy of Fallot(TOF), transposition of the great arteries (TGA), total anomalous pulmonary venous return (TAPVR), truncus arteriosus, and tricuspid atresia (TA). Less common variants include Ebstein’s anomaly, Hypoplastic left heart syndrome, pulmonary atresia, and single ventricle. Children of all ages can be are affected. The commonest presentation is cyanosis. Bradycardia and/or congenital heart block are rare presentations and mostly occur in the presence of an associated congenital atrioventricular block. Case report: We report a case of a 3-month-old female presenting with congenital heart block and bradycardia at 3 months of age and found to have complex cyanotic congenital heart disease on echocardiography. Conclusion: An infant presenting with bradycardia clinically should be screened for congenital heart defect as bradycardia may be an ominous sign of serious underlying cardiac defect.
Bleeding and Thromboembolic Events in Patients with Non-Valvular Atrial Fibrillation Treated with Apixaban or Rivaroxaban

Rivaroxaban and apixaban are effective oral anticoagulants, but their usage has been associated with an increased risk of bleeding events. This study examined the bleeding and thromboembolic events of rivaroxaban and apixaban. Medical records from 114 patients (rivaroxaban n = 64, apixaban n = 80) treated for stroke prevention in atrial fibrillation at a tertiary hospital in Malaysia were retrospectively reviewed. Patients with bleeding or stroke/systemic embolism events were identified and the bleeding risk factors were investigated using logistic regression analysis. Stroke or systemic embolism after treatment with Factor Xa (FXa) inhibitor occurred in 12 (8.33%) of the patients, 5 (3.47%) were ischaemic stroke and 7 (4.86%) of them were presented with myocardial infarction. Bleeding occurred in 32 (22.20%) patients, where 7 (4.90%) were presented with major bleeding (rivaroxaban n = 3, apixaban n = 4), while another 25 (17.40%) experienced clinically relevant non-major bleeding. Furthermore, concomitant antiplatelet used and serum creatinine level were significant predictors of bleeding events (P < 0.05). In conclusion, stroke or systemic embolism events were low for both drugs, but this may be an underestimate of the true prevalence due to the small sample size in the present study.
Improving Winter Wheat Yield Forecasting Based on Multi-Source Data and Machine Learning

To meet the challenges of climate change, population growth, and an increasing food demand, an accurate, timely and dynamic yield estimation of regional and global crop yield is critical to food trade and policy-making. In this study, a machine learning method (Random Forest, RF) was used to estimate winter wheat yield in China from 2014 to 2018 by integrating satellite data, climate data, and geographic information. The results show that the yield estimation accuracy of RF is higher than that of the multiple linear regression method. The yield estimation accuracy can be significantly improved by using climate data and geographic information. According to the model results, the estimation accuracy of winter wheat yield increases dramatically and then flattens out over months; it approached the maximum in March, with R2 and RMSE reaching 0.87 and 488.59 kg/ha, respectively; this model can achieve a better yield forecasting at a large scale two months in advance.
Work Stress and Job Satisfaction of Nurses During The Covid-19 Pandemic

Job satisfaction is a positive emotional state that arises from an assessment of one's work or work experience. Low nurse job satisfaction still occurs in developing countries. The situation of the Covid-19 pandemic resulted in job demands and increased nurse workloads that have the potential to cause work stress. High levels of stress lead to low levels of job satisfaction. The purpose of the study was to determine work stress and job satisfaction in nurses during the COVID-19 pandemic. Research design uses quantitative descriptive. The population in the study was nurses at Anwar Medika Hospital is 295 nurses. The sampling technique uses nonprobability sampling with the total sampling technique. The research instrument adopted the Expanded Nursing Scale (ENSS) questionnaire and The McCloskey/Mueller Satisfaction Scale (MMSS). Data analysis uses descriptive statistical analysis. The results showed that most respondents experienced low work stress level 115 (39%), moderate 132 (44.7%), high 48 r (16.3%). Job satisfaction level was high 102 (34.6%), moderate 175 (59.3%) and low 18 (6.1%). Work stress caused by work fatigue can affect the psychological nurse so it can lead to a decrease in job satisfaction. Preventive measures have an important role in increasing optimism and coping strategies. Nurses who have low work stress levels and emotional exhaustion due to Covid-19 are accompanied by a level of optimism caused by the high level of confidence that they can get through this situation well. Attention to the psychological condition of nurses and conduct work stress management training so that work stress can be controlled to get good job satisfaction .
Metabolomics of Arterial Stiffness

Arterial stiffness (AS) is one of the earliest detectable signs of structural and functional alterations of the vessel wall and an independent predictor of cardiovascular events and death. The emerging field of metabolomics can be utilized to detect a wide spectrum of intermediates and products of metabolism in body fluids that can be involved in the pathogenesis of AS. Research over the past decade has reinforced this idea by linking AS to circulating acylcarnitines, glycerophospholipids, sphingolipids, and amino acids, among other metabolite species. Some of these metabolites influence AS through traditional cardiovascular risk factors (e.g., high blood pressure, high blood cholesterol, diabetes, smoking), while others seem to act independently through both known and unknown pathophysiological mechanisms. We propose the term ‘arteriometabolomics’ to indicate the research that applies metabolomics methods to study AS. The ‘arteriometabolomics’ approach has the potential to allow more personalized cardiovascular risk stratification, disease monitoring, and treatment selection. One of its major goals is to uncover the causal metabolic pathways of AS. Such pathways could represent valuable treatment targets in vascular ageing.
Automatic right ventricle segmentation in cardiac MRI via anisotropic diffusion and SPCNN

Cardiac Magnetic Resonance Image (CMRI) is a significant assistant for the cardiovascular disease clinical diagnosis. The segmentation of right ventricle (RV) is essential for cardiac function evaluation, especially for RV function measurement. Automatic RV segmentation is difficult due to the intensity inhomogeneity and the irregular shape. In this paper, we propose an automatic RV segmentation framework. Firstly, we use the anisotropic diffusion to filter the CMRI. And then, the endocardium is extracted by the simplified pulse coupled neural network (SPCNN) segmentation. At last, the morphologic processors are used to obtain the epicardium. The experiment results show that our method obtains a good performance for both the endocardium and the epicardium segmentation.
Expression Profile of Human Renal Mesangial Cells Is Altered by Infection with Pathogenic Puumala Orthohantavirus

Acute kidney injury (AKI) with proteinuria is a hallmark of infections with Eurasian orthohantaviruses. Different kidney cells are identified as target cells of hantaviruses. Mesangial cells may play a central role in the pathogenesis of AKI by regulation of inflammatory mediators and signaling cascades. Therefore, we examined the characteristics of hantavirus infection on human renal mesangial cells (HRMCs). Receptor expression and infection with pathogenic Puumala virus (PUUV) and low-pathogenic Tula virus (TULV) were explored. To analyze changes in protein expression in infected mesangial cells, we performed a proteome profiler assay analyzing 38 markers of kidney damage. We compared the proteome profile of in vitro-infected HRMCs with the profile detected in urine samples of 11 patients with acute hantavirus infection. We observed effective productive infection of HRMCs with pathogenic PUUV, but only poor abortive infection for low-pathogenic TULV. PUUV infection resulted in the deregulation of proteases, adhesion proteins, and cytokines associated with renal damage. The urinary proteome profile of hantavirus patients demonstrated also massive changes, which in part correspond to the alterations observed in the in vitro infection of HRMCs. The direct infection of mesangial cells may induce a local environment of signal mediators that contributes to AKI in hantavirus infection.
Free energy calculations in associative polymers using molecular dynamics

ABSTRACT In this work, equilibrium molecular dynamics is used to predict the change in the Helmholtz free energy ( ) for solutions of associative polymers of the telechelic type. is calculated using the thermodynamic integration method, wherein molecular chains are simulated in a coarse-grain scale within an NVT ensemble. Simulations take place in the concentration interval , such that aggregate formation is possible. The initial configuration is that of dispersed free chains; the increase of interactions among stickers signals the onset of the micelle formation process. The solution with high concentration experiences substantial micelle aggregation despite little conformation changes. Therein, transient networks among micellar flowers are formed. The decrease in free energy is related to the formation of aggregates to achieve stability. When solutions are thermodynamically stable, the free energy and configurational entropy decrease and increase non-linearly with concentration, respectively. Below critical micellar concentration, this behaviour is associated with a step-by-step process along which the sticker groups gather to form the first thermodynamically stable aggregate. Above critical micellar concentration, the most probable distribution increases with concentration, therefore, free energy decreases with increasing aggregates that form the network.
Power system state estimation based on PMU measurements vs SCADA measurements

Several power system blackouts in the last decade indicate that the power system is being operated close to its stability limits and with lower security margins. Therefore, power system operators have to adopt power system control solutions to support the electric energy consumption increase, the electric energy market development, the renewable energy sources integration (RES) and the aim of greenhouse gases (GHG) reduction. Possible answer are Wide Area Monitoring, Protection and Control systems (WAMPAC), which are based on Synchronized Measurement Technology (SMT). A power system state estimator is one of the basic applications in power system control centres. It is expected that the increase of number of Phasor Measurement Units (PMUs) deployed in the power system would significantly contribute to the power system state estimation. This paper overviews the traditional state estimation theory and gives the application of the SMT in the state estimation. The enhancement of the state estimator’s performances will help the power system operator to make crucial decisions while operating the power system with large amount of the RES.
Computer Self-Efficacy, Task Value, Digital Literacy, Online Learning Perceptions on Indonesian University Students’ Learning Satisfaction

This study examines the relationships of student learning satisfaction with computer self-efficacy, task value, digital literacy, and online learning perception on university students in Indonesia. In this context, a structural equation model is proposed by considering studies in the literature. The proposed model is analyzed and discussed considering the literature. A total of 504 university students from Indonesia participated voluntarily in the study. A scale of readiness for e-learning, a self-regulated online learning scale, and a satisfaction survey were used as data collection tools in the study. The influence of online learning perceptions on online learning satisfaction has a coefficient value of 0.557, indicating that the better students' perceptions of online learning, the higher their online learning satisfaction. Then, the influence of computer self-efficacy on perceptions of online learning has a coefficient value of 0.318, which indicates that the better students' confidence in using computers, the better the perception of online learning. Furthermore, the effect of the task value on the perception of online learning has a coefficient value of 0.316 which means that the higher the student's task value, the higher the perception of online learning. Finally, the influence of digital literacy on the perception of online learning has a coefficient value of 0.122 which means that the higher students' digital literacy, the better the perception of online learning.