HUBUNGAN PENGETAHUAN DENGAN PERILAKU PENCEGAHAN COVID-19 PADA REMAJA

Pengetahuan serta perilaku pencegahan harus dipertimbangkan dalam perencanaan intervensi yang efektif untuk pandemi penyakit coronavirus 2019 (COVID-19) dan dalam meningkatkan kesadaran tentang risiko kesehatan yang ditimbulkan oleh penyakit ini. Tujuan dari penelitian ini ialah untuk mengetahui hubungan antara tingkat pengetahuan dengan perilaku pencegahan Covid-19 pada remaja. Metode yang dipakai dalam penelitian ini adalah deskriptif korelasional dengan menggunakan teknik non-probability sampling yaitu purposive sampling dengan jumlah 111 responden. Kuesioner pedoman pencegahan dan pengendalian COVID-19 disusun oleh Kemenkes RI dalam penelitian Mujiburrahman et al., (2020) digunakan untuk mengukur tingkat pengetahuan dengan perilaku pencegahan terhadap COVID-19. Data yang dianalisa secara univariat ditampilkan dalam bentuk tabel distribusi frekuensi dan presentasi. Analisa secara bivariat dilakukan menggunakan Spearman Rho. Hasil penelitian menunjukan bahwa tingkat pengetahuan berada dalam kategori tinggi (91,89%) dan pada kategori sedang (8,11%). Selain itu juga didapatkan bahwa responden yang menerapkan perilaku pencegahan dengan baik (75,68%) dan yang menerapkan perilaku pencegahan dengan cukup (24,32%).  Analisis menyatakan bahwa tidak terdapat hubungan yang signifikan antara pengetahuan dengan perilaku pencegahan COVID-19 pada remaja dengan nilai sig = 0,611 (p > 0,05). Nilai korelasi dari hasil analisis diperoleh 0,049 berarti adanya hubungan positif dari variable dengan tingkat keeratan lemah. Memiliki tingkat pengetahuan yang tinggi akan diikuti juga dengan penerapan perilaku pencegahan Covid-19 yang baik. Remaja harus mempertahankan perilaku yang positif dalam usaha pencegahan dan pemutusan mata rantai penularan dari Covid-19 dari pengetahuan yang sudah didapat. Knowledge and preventative actions have to be considered in planning an effective intervention for the coronavirus 2019 (COVID-19) pandemic in hopes to increase awareness of health risks from this disease. The objective of this research is to identify the correlation of  the level of knowledge with preventative actions of COVID-19 on teenagers. This research will be executed by correlational descriptive by using a non-probability technique with a sample of 111 respondents. Questionnaire “COVID-19 preventative measures and control” arranged by Kemenkes RI in Mujiburrahman et al., (2020) research is used to measure the level of knowledge with Behavior and preventing COVID-19. The univariate analysis will be shown in the form of a frequency distribution table and presentation. Spearman Rho bivariate analysis will be used. Results of This research showed that respondents have an excellent level of knowledge (91.89%) and a good level of knowledge (8.11%). Other than that, respondents have Great behavior and actions preventing the spread of the virus (75.68%) and satisfactory behavior and actions preventing the virus (24.32%). Analysis showed that there is no significant relationship between knowledge and actions in preventing COVID-19 among teenagers with a sig value = 0.611 (p > 0,05). The correlational value from the analysis. Is 0.049 which means there is a positive relationship from the variable with a weak level of closeness. Having a high knowledge with great preventative actions on COVID-19. Teenagers have to keep up with positive actions in hopes to prevent the transmission of COVID-19 from the knowledge that they have

The Effect of Aerobic General and Sex on Physical Fitness

Gymnastics is a very good sport for the body and physical fitness if we do the exercise correctly. This study aims to 1) Improve physical fitness using aerobic exercise, 2) Give effect to the Gymnastics Club KOPKI Jambi City, 3) Provide aerobic exercise treatment to improve physical fitness, 4) Provide aerobic exercise treatment and gender to distinguish the increase in physical fitness. 5) Seeing gender differences to be able to distinguish levels of physical fitness. This experimental study uses a 2x2 factorial design to determine the effect of variables with various main factors, and the combination of variable levels and the effect of interactions between factors on physical fitness levels. With a total sample of 30 men and 30 women aged 20-29 years. Based on the results of the research conducted, the male gender for low impact got the initial test score of 507.7 for the final test of 560.8 then the male high impact on the initial test of 548.2 for the final test of 628, Second, the female gender on the initial low impact test was 439.6 for the final test of 521.4 on the high impact female initial test of 496.9 and the final test was 583.9. Based on the results of research and discussions that have been carried out, it can be understood that: (1). Overall, there is an increase in physical fitness (Vo2Max) at the Jambi City KOPKI Club as evidenced by the significance value smaller than the 0.05 level as shown in the Hypothesis Testing table. (2). There are differences in the increase in physical fitness (Vo2Max) to aerobic exercise and gender at the KOPKI Gymnastics Club Jambi City seen in the number of test results for each group

Feature Guided Training and Rotational Standardisation for the Morphological Classification of Radio Galaxies

State-of-the-art radio observatories produce large amounts of data which can be used to study the properties of radio galaxies. However, with this rapid increase in data volume, it has become unrealistic to manually process all of the incoming data, which in turn led to the development of automated approaches for data processing tasks, such as morphological classification. Deep learning plays a crucial role in this automation process and it has been shown that convolutional neural networks (CNNs) can deliver good performance in the morphological classification of radio galaxies. This paper investigates two adaptations to the application of these CNNs for radio galaxy classification. The first adaptation consists of using principal component analysis (PCA) during preprocessing to align the galaxies' principal components with the axes of the coordinate system, which will normalize the orientation of the galaxies. This adaptation led to a significant improvement in the classification accuracy of the CNNs and decreased the average time required to train the models. The second adaptation consists of guiding the CNN to look for specific features within the samples in an attempt to utilize domain knowledge to improve the training process. It was found that this adaptation generally leads to a stabler training process and in certain instances reduced overfitting within the network, as well as the number of epochs required for training.Comment: 20 pages, 17 figures, this is a pre-copyedited, author-produced PDF of an article accepted for publication in the Monthly Notices of the Royal Astronomical Societ

Needs Analysis of Development Digital-Based Physical Fitness Test Application

This article aims to describe a needs analysis related to the development of a digital-based physical fitness test application. This physical fitness test application will later help physical education teachers to be able to evaluate the physical fitness of students. The target respondents in this study were students and physical education teachers in South Sumatra. The results showed that, from 115 respondents who filled out questionnaires distributed online via google form, it showed that 105 (91.30%) respondents had done physical fitness tests to students, 3 (2.61%) respondents had never, and 7 (6.09%) respondents answered maybe. And 103 (89.57%) respondents want the development of test and measurement applications related to physical fitness, 2 (1.74%) respondents think “no”, and 10 (8.70%) respondents think "maybe". The conclusion of this study is the need for a digital-based physical fitness test and measurement application, either in the form of a website or mobile application

Association Between Public Reporting of Outcomes With Procedural Management and Mortality for Patients With Acute Myocardial Infarction

AbstractBackgroundPublic reporting of procedural outcomes may create disincentives to provide percutaneous coronary intervention (PCI) for critically ill patients.ObjectivesThis study evaluated the association between public reporting with procedural management and outcomes among patients with acute myocardial infarction (AMI).MethodsUsing the Nationwide Inpatient Sample, we identified all patients with a primary diagnosis of AMI in states with public reporting (Massachusetts and New York) and regionally comparable states without public reporting (Connecticut, Maine, Maryland, New Hampshire, Rhode Island, and Vermont) between 2005 and 2011. Procedural management and in-hospital outcomes were stratified by public reporting.ResultsAmong 84,121 patients hospitalized with AMI, 57,629 (69%) underwent treatment in a public reporting state. After multivariate adjustment, percutaneous revascularization was performed less often in public reporting states than in nonreporting states (odds ratio [OR]: 0.81, 95% confidence interval [CI]: 0.67 to 0.96), especially among older patients (OR: 0.75, 95% CI: 0.62 to 0.91), those with Medicare insurance (OR: 0.75, 95% CI: 0.62 to 0.91), and those presenting with ST-segment elevation myocardial infarction (OR: 0.63, 95% CI: 0.56 to 0.71) or concomitant cardiac arrest or cardiogenic shock (OR: 0.58, 95% CI: 0.47 to 0.70). Overall, patients with AMI in public reporting states had higher adjusted in-hospital mortality rates (OR: 1.21, 95% CI: 1.06 to 1.37) than those in nonreporting states. This was observed predominantly in patients who did not receive percutaneous revascularization in public reporting states (adjusted OR: 1.30, 95% CI: 1.13 to 1.50), whereas those undergoing the procedure had lower mortality (OR: 0.71, 95% CI: 0.62 to 0.83).ConclusionsPublic reporting is associated with reduced percutaneous revascularization and increased in-hospital mortality among patients with AMI, particularly among patients not selected for PCI

Modeling of high-temperature flow stress of VN and Nb-Ti microalloyed steels during hot compressive deformation

A simple mathematical model has been developed which describes the flow curve behavior up to the peak true stress or a true strain of 0.6 in unstable austenite. The hot working behavior was analyzed by compression tests over a temperature range of 750–1000 °C and at strain rates of 0.1–50 s−1. The constitutive behavior focused on the interaction between work hardening and dynamic softening attributed to recovery, recrystallization and dynamic austenite to ferrite transformation. This model extends the application of the well-established Estrin and Mecking (EM) work-hardening model in the unstable austenite region. The work hardening is countered by softening kinetics, represented in this model by JMAK-type expressions for both dynamic transformation and recrystallization. The predicted results correlate well with experimental results in VN and Nb-Ti microalloyed steels.The University of Pretoria and technical support from the Industrial Minerals and Metals Research Institute (IMMRI).http://link.springer.com/journal/116652021-01-09hj2020Materials Science and Metallurgical Engineerin

Effects of roughing on finish rolling simulations in microalloyed strip steels

Please read abstract in the article.http://link.springer.com/journal/116652018-11-10hj2017Materials Science and Metallurgical Engineerin

Bladesense – a novel approach for measuring dynamic helicopter rotor blade deformation

Technologies that allow accurate measurement of rotorblade dynamics can impact almost all areas of the rotorcraft sector; ranging from maintenance all the way to blade design. The BladeSense project initiated in 2016 aims to take a step in developing and demonstrating such a capability using novel fibre optic sensors that allow direct shape measurement. In this article the authors summarise key project activities in modelling and simulation, instrumentation development and ground testing. The engineering approach and associated challenges and achievements in each of these disciplines are discussed albeit briefly. This ranges from the use of computational aerodynamics and structural modelling to predict blade dynamics to the development of direct fibre optic shape sensing that allows measurements above 1kHz over numerous positions on the blade. Moreover, the development of the prototype onboard system that overcomes the challenge of transferring data between the rotating main rotor to the fixed fuselage frames is also discussed

Fluorescent Protein-Based Methods for On-Plate Screening of Gene Insertion

Unlike the commonly used method of blue-white screening for gene insertion, a fluorescent protein-based screening method offers a gain-of-function screening process without using any co-factors and a gene fusion product with a fluorescent protein reporter that is further useful in cell imaging studies. However, complications related to protein-folding efficiencies of the gene insert in fusion with fluorescent protein reporters prevent effective on-plate bacterial colony selection leading to its limited use.Here, we present three methods to tackle this problem. Our first method promotes the folding of the gene insert by using an N-terminal protein such as calmodulin that is well folded and expressed. Under this method, fluorescence was increased more than 30x over control allowing for enhanced screening. Our second method creates a fluorescent protein that is N-terminal to the gene upon insertion, thereby reducing the dependency of the fluorescent protein reporter on the folding of the gene insert. Our third method eliminates any dependence of the fluorescent protein reporter on the folding of the gene insert by using a stop and start sequence for protein translation.The three methods together will expand the usefulness of fluorescence on-plate screening and offer a powerful alternative to blue-white screening

Urinary Epidermal Growth Factor as a Marker of Disease Progression in Children With Nephrotic Syndrome.

Introduction: Childhood-onset nephrotic syndrome has a variable clinical course. Improved predictive markers of long-term outcomes in children with nephrotic syndrome are needed. This study tests the association between baseline urinary epidermal growth factor (uEGF) excretion and longitudinal kidney function in children with nephrotic syndrome. Methods: The study evaluated 191 participants younger than 18 years enrolled in the Nephrotic Syndrome Study Network, including 118 with their first clinically indicated kidney biopsy (68 minimal change disease; 50 focal segmental glomerulosclerosis) and 73 with incident nephrotic syndrome without a biopsy. uEGF was measured at baseline for all participants and normalized by the urine creatinine (Cr) concentration. Renal epidermal growth factor (EGF) mRNA was measured in the tubular compartment microdissected from kidney biopsy cores from a subset of patients. Linear mixed models were used to test if baseline uEGF/Cr and EGF mRNA expression were associated with change in estimated glomerular filtration rate (eGFR) over time. Results: Higher uEGF/Cr at baseline was associated with slower eGFR decline during follow-up (median follow-up = 30 months). Halving of uEGF/Cr was associated with a decrease in eGFR slope of 2.0 ml/min per 1.73 m Conclusion: uEGF/Cr may be a useful noninvasive biomarker that can assist in predicting the long-term course of kidney function in children with incident nephrotic syndrome