Bioinformatic Evaluation of the miRNAs Targeting ACE2 Gene in COVID-19

Introduction: Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), which began in late 2019 in Wuhan, China, has become a global epidemic. Angiotensin 2 converting enzyme (ACE2) acts as a receptor for host function to cause acute coronavirus 2 acute respiratory syndrome (SARS-CoV-2). ACE2 is abundantly expressed in different cells of different human organs. In human physiology, ACE2 is a major player in the renin-angiotensin-aldosterone (RAAS) system by degrading angiotensin II. Many factors have been associated with altered ACE2 expression and the severity and progression of COVID-19, including microRNAs that may be effective in it. Identifying pathological changes due to SARS-CoV-2 infection is important because it has major implications for understanding the pathophysiology of COVID-19 and developing evidence-based treatment strategies. Currently, many intervention strategies are being explored in ongoing clinical trials. Objective: The aim of this study is to use bioinformatics databases to find potential antiviral therapies against SARS-CoV-2 through host microRNAs (miRNAs) that can reduce viral gene expression to inhibit virus entry and replication. Methods: Using different algorithms in TargetScan, DIANA, ENCORI and miRWalk databases, the potential microRNAs were identified that target ACE2. Then, a score table was prepared from the candidate microRNAs, based on the affinity of the seed region of microRNAs and the 3`-UTR region of the ACE2 gene. Finally, microRNAs with higher scores were chosen as candidates for practical analysis. Results: The results of Bioinformatical analysis showed that Has-miR-200c-3p, Has-miR-29a, Has-miR-29c, and Has-miR-942 are most likely to inhibit ACE2. These microRNAs are the most potent factors that might be affected on ACE2 during virulence. Conclusion: It seems that ACE2 is under the control of the miR-200c-3p and plays a crucial role in the pathophysiology process. Therefore, this microRNA can be considered as a suitable new candidate for experimental evaluation.

GROWTH AND DEVELOPMENT OF CHILDREN IN ADOLESCENT MOTHERS IN GUNUNGKIDUL

Early marriage has an impact on knowledge and skills in parenting, which will adversely affect to children growth and development. There are about 1.05% of children under five in Gunung Kidul have delay development. We use descriptive observational research, wich 30 young mothers aged under 21 years. We used questionnaires for completeness of data, invanometer, weight scale, Denver II Form, Z Score table. The results obtained are most respondents arelow education level (66.7%) and mayority as housewives. Toddlers' weight is in accordance with their age, the majority are normal height, but 56.7% of toddlers are delay in their development.

Growth and Development of Children In Adolescent Mother In Gunungkidul

Adolescent mothers with poor knowledge and skills in parenting will adversely affect the development of children. In 2018, children under five in Gunung Kidul experienced developmental delays (1.05%). This study was descriptive observation with 30 respondents of adolescent mothers under 21 years of age. Questionnaires were used to complete the data. Other tools used were infantometer, weight scales, Denver II Form, Z Score table. The results show that predominant respondents have low education (66.7%) and the majority are housewives. The weight of the children is in accordance to their age, the majority of the height is normal, but 56.7% of children experience developmental delays

The establishment of a stroke-associated pneumonia predictive scoring system

Background & Objective: Stroke-associated pneumonia (SAP) is a common complication of ischemic stroke, increasing the length of hospital stay and costs, and affecting prognosis. This study aimed to determine the incidence of SAP, investigate the risk factors that lead to SAP to facilitate a more targeted response to the prevention of SAP. Methods: A retrospective study was performed to analyze the factors that predict SAP in an acute stroke population from a university affiliated hospital in Fujian, China. A SAP risk score table was constructed. Results: A total of 1,016 patients with acute cerebral infarction were enrolled. The incidence of SAP was 13.58%. Multivariate regression analysis found that age, NIHSS, GCS scores, dysphagia, heart failure, creatinine, and proton pump inhibitors (PPIs) use were independently associated with SAP. Based on the data, a SAP risk score table was constructed with age > 75 years -2 points, NIHSS ≥ 16 -2 points, GCS score ≤ 8 -1.5 points, dysphagia - 5 points, heart failure - 1.5 points, creatinine - 1 point, PPIs use - 1.5 points, a total of 14.5 points. The optimal value was 3 points. Conclusions: Age, NIHSS, GCS score, dysphagia, heart failure, creatinine, and PPIs use were predictive of SAP.

Lessons learned after two years of operational high-resolution (1,5 km) WRF simulations in Catalonia and a plan to increase their skill

<p>The WRF-ARW has been the flagship mesoscale model in the Meteorological Service of Catalonia (SMC) since 2012. Several operational runs are performed daily (initialised at 00 and 12 UTC), using both the GFS and the IFS model for initial and boundary conditions, to account for uncertainties in the synoptic evolution. To provide more accurate forecasts to end-users, a convection-allowing simulation with a grid spacing of 1,5 km was added to the operational chain, starting in the summer of 2019. </p><p>However, the verification results show that the improvement over its mother domain (a 3 km simulation with parameterised convection) is irregular because it does not happen for all the variables. For instance, the 2 m temperature forecasts are more reliable for the highest resolution domain but the wind speed at 10 m has a comparable skill. Regarding the precipitation, there is a very slight improvement only for high daily precipitation rates (50 or 80 mm) during some seasons; nevertheless, the results are worse in forecasting the occurrence of precipitation (that is, when considering low daily precipitation quantities). The comparison of the verification results among different model configurations (with various resolutions and initial conditions) can be easily performed by using a skill score table. This table and its design will also be presented in this session. </p><p>Certainly, these results help to conceive strategies to enhance the skill of the 1,5 km simulations for some of the variables that arise as more inaccurate. For instance, it is evaluated to what extent using alternative static fields (changing the model topography or the land category) improves the forecasts of temperature, humidity or wind near the surface. Furthermore, the sensitivity of precipitation forecasts to several physics schemes is tested, seeking an enhancement of their skill. </p>

Strategi Pemasaran Dalam Meningkatkan Penjualan Sepatu Pada Home Industry Yap Yek Di Kota Bukittinggi

The purpose of this study was to determine the chosen marketing strategy in increasing shoe sales at Yap Yek Home Industry in Bukittinggi. Technical analysis of data using the SWOT method, namely analysis of the factors of strength (strength), as well as knowing weaknesses. Meanwhile, analysis of external factors must be able to determine the opportunity (opportunity), and also know the threat (treat) by filling out a questionnaire. After that, these factors are analyzed using the IFE matrix, EFE matrix, SWOT matrix, and weight-score table analysis. Based on the results of the study, it can be concluded that the marketing strategy used by Yap Yek's home industry with the highest total weight score on the Strenghts-Opportunities (S-O) strategy is 3.87. By optimizing the strength to take advantage of existing opportunities. Namely maintaining and improving product quality to attract new customers and retain existing customers, making constant innovations in products, especially in design and color to attract more consumers to use shoe products, maximizing marketing of owned leather shoe products, especially during the holiday season, following every major events and events such as the exhibition of industrial products by providing a bigger discount. Keywords: Marketing Strategy, Sales, SWOT Analysis.

The Perceived Self-Efficacy of Resource Rooms Teachers on Distance Learning Experience in Amman in Terms of Some Variables

This study aimed to examine the perceived self-efficacy of the resource room teachers for the distance learning experience in the capital Amman, Jordan in terms of some variables. To achieve this goal, 124 female resource teachers in government schools in the capital governorate were selected. The perceived self-efficacy measure was used to collect data. It is a valid and reliable measure that contains 25 items. The results showed that the level of perceived self-efficacy of the resource room teachers for the distance learning experience was moderate, as the mean of the overall tool was (3.16) with a moderate evaluation score. Table (3) shown that the averages of the tool's items ranged between (2.15-4.07). These averages didn't indicate statistically significant differences at (α≤0.05) for the variables: specialization, teacher's educational level, and number of students who receive service in the room. The data showed statistically significant differences at the (α≤0.05) for teacher's age variable in favor of the younger group. Also, the data showed statistically significant differences at the (α≤0.05) for the variable years of experience in favor of the least experience, less than 5 years.

Students’ Ability in Translating Narrative Text FromBahasa Indonesia Into English in The Fifth Semester at The English Education Study Program of Universitas Bengkulu

The objective of this research is to find out the students’ ability and the students’ problem in translating narrative text from Bahasa Indonesia into English in the fifth semester at the English education program of Universitas Bengkulu. This research was descriptive quantitative approach. The population of the research was the students’ from the fifth semester of English education study program. The samples were 49 students. The data of this research were collected by using test and interview.The data analysis was done by using Waddington range for students’ translation score table (2001). The result of the research showed that, the percentage of students’ ability in translating narrative text from Bahasa Indonesia into English was 61.22 % in level 3. It means that more than half of the sampels were in adequate level. Based on the interview the students’ problem in translating narrative text from Bahasa Indonesia into English was mostly in lexical and grammatical. Overall, the fifth semester students of English education study program of Universitas Bengkulu were able to translate the narrative text from Bahasa Indonesia into English

LipoDDx: a mobile application for identification of rare lipodystrophy syndromes

Background: Lipodystrophy syndromes are a group of disorders characterized by a loss of adipose tissue once other situations of nutritional deprivation or exacerbated catabolism have been ruled out. With the exception of the HIV-associated lipodystrophy, they have a very low prevalence, which together with their large phenotypic heterogeneity makes their identification difficult, even for endocrinologists and pediatricians. This leads to significant delays in diagnosis or even to misdiagnosis. Our group has developed an algorithm that identifies the more than 40 rare lipodystrophy subtypes described to date. This algorithm has been implemented in a free mobile application, LipoDDx®. Our aim was to establish the effectiveness of LipoDDx®.40 clinical records of patients with a diagnosis of certainty of most lipodystrophy subtypes were analyzed, including subjects without lipodystrophy. The medical records, blinded for diagnosis, were evaluated by 13 physicians, 1 biochemist and 1 dentist. Each evaluator first gave his/her results based on his/her own criteria. Then, a second diagnosis was given using LipoDDx®. The results were analysed based on a score table according to the complexity of each case and the prevalence of the disease.Results: LipoDDx® provides a user-friendly environment, based on usually dichotomous questions or choice of clinical signs from drop-down menus. The final result provided by this app for a particular case can be a low/high probability of suffering a particular lipodystrophy subtype. Without using LipoDDx® the success rate was 17 ± 20%, while with LipoDDx® the success rate was 79 ± 20% (p <0.01).Conclusions: LipoDDx® is a free app that enables the identification of subtypes of rare lipodystrophies, which in this small cohort has around 80% effectiveness, which will be of help to doctors who are not experts in this field. However, it will be necessary to analyze more cases in order to obtain a more accurate efficiency value.

LipoDDx: a mobile application for identification of rare lipodystrophy syndromes

Background: Lipodystrophy syndromes are a group of disorders characterized by a loss of adipose tissue once other situations of nutritional deprivation or exacerbated catabolism have been ruled out. With the exception of the HIV-associated lipodystrophy, they have a very low prevalence, which together with their large phenotypic heterogeneity makes their identification difficult, even for endocrinologists and pediatricians. This leads to significant delays in diagnosis or even to misdiagnosis. Our group has developed an algorithm that identifies the more than 40 rare lipodystrophy subtypes described to date. This algorithm has been implemented in a free mobile application, LipoDDx®. Our aim was to establish the effectiveness of LipoDDx®.40 clinical records of patients with a diagnosis of certainty of most lipodystrophy subtypes were analyzed, including subjects without lipodystrophy. The medical records, blinded for diagnosis, were evaluated by 13 physicians, 1 biochemist and 1 dentist. Each evaluator first gave his/her results based on his/her own criteria. Then, a second diagnosis was given using LipoDDx®. The results were analysed based on a score table according to the complexity of each case and the prevalence of the disease. Results: LipoDDx® provides a user-friendly environment, based on usually dichotomous questions or choice of clinical signs from drop-down menus. The final result provided by this app for a particular case can be a low/high probability of suffering a particular lipodystrophy subtype. Without using LipoDDx® the success rate was 17 ± 20%, while with LipoDDx® the success rate was 79 ± 20% (p <0.01). Conclusions: LipoDDx® is a free app that enables the identification of subtypes of rare lipodystrophies with around 80% effectiveness, which will be of help to doctors who are not experts in this field.