Self Awareness and Mitigation of Learning Loss on Students' Science Learning Outcomes During the Covid 19 Pandemic

This study aimed to analyze the correlation between self-awareness, mitigating learning loss, and student science learning outcomes during the COVID-19 pandemic. Data was collected using a correlational study, a questionnaire, and data analysis using linear regression using the SPSS 16.00 application. The analysis results found that the correlation value or R correlation between self-awareness and learning outcomes was 0.020. The coefficient of determination (R2) was 0.000. In contrast, the regression between learning loss and learning outcomes was R, which was -0.073, the coefficient of determination (R2) was 0.005. The self-awareness regression coefficient on the correlation between self-awareness and learning outcomes is 0.018 or only 0.02%, so the equation becomes Y = 83,287 + 0.018X. In the correlation between self-awareness and learning outcomes, the regression coefficient of learning loss is -.119 or only <0, so the regression equation formed is Y = 94.480 -.199X. Therefore, it can be concluded that self-awareness has no correlation with students' cognitive learning outcomes, and there is no correlation between learning loss mitigation and student learning outcomes during the COVID-19 pandemic

Ventilator-Free Days in Neonatal Ventilator-Associated Pneumonia

Objective To compare the ventilator-free days (VFDs) at day 28 and the short-term outcomes in neonates with and without ventilator-associated pneumonia (VAP and non-VAP groups). Study Design We performed a cohort study in a Thai neonatal intensive care unit between 2014 and 2020 to identify the VFDs in VAP and non-VAP neonates. Univariate and multivariate analyses were performed. Results The incidences of VAP rates were 5.76% (67/1,163 neonates) and 10.86 per 1,000 (92/8,469) ventilator days. The medians (interquartile ranges) of gestational age and birth weight in the VAP vs non-VAP groups were 31 (27–35) vs 34 (30–38) weeks, and 1,495 (813–2,593) vs 2,220 (1,405–2,940) grams (p < 0.001 both), respectively. The medians (interquartile ranges) of VFDs at 28 days in the VAP and non-VAP groups were 5 (0–16) and 24 (20–26) days (<i>p</i> < 0.001). From the univariate analysis, the lower VFDs, longer ventilator days, and higher rates of moderate to severe bronchopulmonary dysplasia (BPD), postnatal steroids for BPD, length of stay, and daily hospital cost in the VAP group were significantly higher than in the non-VAP group. From the multivariate analysis, the VAP group had significantly lower VFDs (regression coefficient = -10.99, standard error = 1.11, <i>p</i> < 0.001) and higher BPD (adjusted risk ratio 18.70; 95% confidence interval 9.17–39.5, <i>p</i> < 0.001) than the non-VAP group. <b>Conclusion</b> Neonatal VAP lead to lower VFDs and a higher frequency of BPD. A multimodal strategy with a VAP prevention bundle care should be used in indicated cases to reduce the occurrence of neonatal VAP.

Artificial Metabolic Networks: enabling neural computation with metabolic networks

Metabolic networks have largely been exploited as mechanistic tools to predict the behavior of microorganisms with a defined genotype in different environments. However, flux predictions by constraint-based modeling approaches are limited in quality unless labor-intensive experiments including the measurement of media intake fluxes, are performed. Using machine learning instead of an optimization of biomass flux - on which most existing constraint-based methods are based - provides ways to improve flux and growth rate predictions. In this paper, we show how Recurrent Neural Networks can surrogate constraint-based modeling and make metabolic networks suitable for backpropagation and consequently be used as an architecture for machine learning. We refer to our hybrid - mechanistic and neural network - models as Artificial Metabolic Networks (AMN). We showcase AMN and illustrate its performance with an experimental dataset of Escherichia coli growth rates in 73 different media compositions. We reach a regression coefficient of R2=0.78 on cross-validation sets. We expect AMNs to provide easier discovery of metabolic insights and prompt new biotechnological applications.

Salivary Cortisol Awakening Response as a Predictor for Depression Severity in Adult Patients with a Major Depressive Episode Performing a Daily Exercise Program

<b><i>Introduction:</i></b> The hypothalamic-pituitary-adrenal axis function in depression has been the subject of considerable interest, and its function has been tested with a variety of methods. We investigated associations between saliva cortisol at awakening and the 24-h urine cortisol output, both measured at study baseline, with endpoint depression scores. <b><i>Methods:</i></b> Patients were admitted to a psychiatric inpatient ward with a major depressive episode and were started on fixed duloxetine treatment. They delivered saliva samples at awakening and 15, 30, and 60 min post-awakening and sampled urine for 24 h. Subsequently, they started a daily exercise program maintained for a 9-week period. Clinician-rated depression severity was blindly assessed with the Hamilton Depression Rating 6-item subscale (HAM-D₆). The cortisol awakening response was quantified by the area under the curve with respect to the ground (AUC_G) and with respect to the rise (AUC_I) using saliva cortisol levels in the 1-h period after awakening. Analysis of expected associations between depression severity, AUC_G, AUC_I, exercise, and 24-h cortisol output was performed in a general linear model. <b><i>Results:</i></b> In all, 35 participants delivered saliva or 24-h urine samples. The mean age was 49.0 years (SD = 11.0) with 48.6% females with a mean baseline HAM-D₆ score of 12.2 (SD = 2.3). In a statistical model investigating the association between HAM-D₆ at week 9 as a dependent variable and AUC_I, concurrent HAM-D₆, gender, smoking, and exercise volume as covariates, we found a significant effect of AUC_I, concurrent HAM-D₆, and exercise. The following statistics were found: AUC_I (regression coefficient 0.008; <i>F</i> value = 9.1; <i>p</i> = 0.007), concurrent HAM-D₆ (regression coefficient 0.70; <i>F</i> value = 8.0; <i>p</i> = 0.01), and exercise (regression coefficient −0.005; <i>F</i> value = 5.7; <i>p</i> = 0.03). The model had an <i>R</i>² of 0.43. The association between HAM-D₆ endpoint scores and the AUC_I showed that higher AUC_I values predicted higher HAM-D₆ endpoint values. The association between HAM-D₆ endpoint scores and the exercise level showed that a high exercise level was associated with lower HAM-D₆ endpoint values. <b><i>Conclusion:</i></b> The results thus showed that high AUC_I values predicted less improvement of depression and high exercise levels predicted more improvement of depression. These findings need to be confirmed in larger samples to test if more covariates can improve prediction of depression severity.

Early Postoperative Extubation is Associated with Shorter Hospitalization and Improved Short-Term Survival in Patients Undergoing Cytoreductive Surgery and Hyperthermic Intraperitoneal Chemotherapy

Background Cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS/HIPEC) is associated with significant operative time, hospital resources, and morbidity. We examine factors associated with hospital length of stay (LOS) and early overall survival (OS) after CRS/HIPEC. Materials and Methods Patients who underwent CRS/HIPEC were evaluated for factors associated with LOS. Institutional learning curve influence was addressed by comparing early vs late cohorts. Variables with P < .200 after univariate analysis were considered for inclusion in multivariate linear regression modeling. Independent factors associated with OS were evaluated using the Kaplan-Meier method. Results Seventy patients underwent CRS/HIPEC (mean age 52.3 years, 64.3% female, and 68.6% Caucasian). Presence of any surgical complication was found in 26 (37.1%), 28 (40%) remained intubated postoperatively, and the mean Peritoneal Carcinomatosis Index (PCI) score was 14.4 ([Formula: see text]10.4). Mean intensive care unit and hospital LOS were 2.9 days ([Formula: see text]2.3) and 9.6 days ([Formula: see text]3.6), respectively. After adjusting for covariates, only shorter time to postoperative ambulation (regression coefficient .92, P = .001) and early extubation (regression coefficient −1.90, P = .018) were associated with decreased hospital LOS on multivariate analysis. Immediate postoperative extubation conferred an independent early survival benefit on Kaplan-Meier analysis (mean OS 714.8 vs 473.4 days, P = .010). There was no difference in hospital LOS or OS between early and late cohorts. Conclusion Early postoperative extubation and shorter time to ambulation are associated with decreased hospital LOS. Moreover, CRS/HIPEC patients extubated immediately postoperatively have an early survival benefit. Every effort should be made to achieve early postoperative extubation and mobilization in CRS/HIPEC patients.

The Effect Of Motor Vehicle Tax Services On Taxpayer Satisfaction In The Samsat Of Bengkulu City

The purpose of this study was to determine the effect of motor vehicle tax services on taxpayer satisfaction at the Bengkulu City SAMSAT office. This type of research is descriptive qualitative research, with data collection techniques used are observation and questionnaires. The data analysis technique used is descriptive quantitative analysis method.The results showed that from simple linear regression showed taxpayer satisfaction (Y) = 4.838 + 0.921X. The constant value of 4.838 means that if there is no tax service of zero (0), then the satisfaction of the taxpayer is 4.838. While the regression coefficient for tax services is 0.921, meaning that if tax services increase by 1%, then taxpayer satisfaction will also increase or increase by 5.759% (4.838 + 0.921).

Design, inverted vat photopolymerization 3D printing, and initial characterization of a miniature force sensor for localized in vivo tissue measurements

Background Tissue healthiness could be assessed by evaluating its viscoelastic properties through localized contact reaction force measurements to obtain quantitative time history information. To evaluate these properties for hard to reach and confined areas of the human body, miniature force sensors with size constraints and appropriate load capabilities are needed. This research article reports on the design, fabrication, integration, characterization, and in vivo experimentation of a uniaxial miniature force sensor on a human forearm. Methods The strain gauge based sensor components were designed to meet dimensional constraints (diameter ≤3.5mm), safety factor (≥3) and performance specifications (maximum applied load, resolution, sensitivity, and accuracy). The sensing element was fabricated using traditional machining. Inverted vat photopolymerization technology was used to prototype complex components on a Form3 printer; micro-component orientation for fabrication challenges were overcome through experimentation. The sensor performance was characterized using dead weights and a LabVIEW based custom developed data acquisition system. The operational performance was evaluated by in vivo measurements on a human forearm; the relaxation data were used to calculate the Voigt model viscoelastic coefficient. Results The three dimensional (3D) printed components exhibited good dimensional accuracy (maximum deviation of 183μm). The assembled sensor exhibited linear behavior (regression coefficient of R2=0.999) and met desired performance specifications of 3.4 safety factor, 1.2N load capacity, 18mN resolution, and 3.13% accuracy. The in vivo experimentally obtained relaxation data were analyzed using the Voigt model yielding a viscoelastic coefficient τ=12.38sec and a curve-fit regression coefficient of R2=0.992. Conclusions This research presented the successful design, use of 3D printing for component fabrication, integration, characterization, and analysis of initial in vivo collected measurements with excellent performance for a miniature force sensor for the assessment of tissue viscoelastic properties. Through this research certain limitations were identified, however the initial sensor performance was promising and encouraging to continue the work to improve the sensor. This micro-force sensor could be used to obtain tissue quantitative data to assess tissue healthiness for medical care over extended time periods.

Analisis Pengaruh Profitabilitas, Likuiditas Dan Solvabilitas Terhadap Nilai Perusahaan Yang Terdaftar Di Bursa Efek Indonesia

The aims of this research is to analyze and prove the impact of profitability as proxied by return on assets, liquidity proxied by current ratio and solvency as proxied by debt to equity ratio partially and simultaneously on firm value in mining companies that listed on IDX for the 2015-2020 period. The research was conducted with a quantitative approach, with a purposive sampling technique. The analysis technique used is multiple linear regression with partial test hypothesis testing (t test), simultaneous test (F test), and multiple determination coefficient test (R2) with the help of SPSS version 25 program. The results of the study show that 1) profitability is proven significant effect on firm value with a regression coefficient of -0.719; 2) liquidity is proven to have a significant effect on firm value with a regression coefficient of -1.160; 3) solvency has a significant effect on firm value with a regression coefficient of -1.354; and 4) profitability, liquidity and solvency proved to have a significant effect on firm value with a regression coefficient of 0.236. It is mean that profitability, liquidity, and solvency variables simultaneously and partially affect the firm value because the value of sig < 5%. This proves that in a mining company to increase the value of the company, it must pay attention to the profitability, liquidity, and solvency of the company.

PENGARUH PENGETAHUAN PERPAJAKAN TERHADAP KEPATUHAN WAJIB PAJAK KENDARAAN BERMOTOR DI KANTOR SAMSAT KOTA TOMOHON

Abstrak Riset ini bermaksud demi mengetahui apakah pengaruh pengetahuan perpajakan terhadap kepatuhan wajib pajak di Kantor SAMSAT Kota Tomohon. Pada riset ini variabel kepatuhan wajib pajak menjadi variabel dependen. Sampel pada pengkajian ini sebanyak 100 wajib pajak serta diambil memakai rumus Slovin. Metode yang dipergunakan dalam riset ini ialah metode survei dengan pendekatan kuantitatif. Pada riset ini data primer dikumpulkan dengan cara teknik pengumpulan data observasi, dokumentasi serta angket/kuesioner, adapun teknik analisis data yang digunakan pada pengkajian ini ialah analisis regresi sederhana dengan uji normalitas, uji linieritas, dan uji hipotesis. Hasil pengkajian ini adanya dampak positif dan signifikan mengenai dampak pengetahuan perpajakan terhadap kepatuhan wajib pajak kendaraan bermotor di mana persamaan regresi sederhana dalam riset ini menunjukkan nilai koefisien Regresi X sebesar 0.072 memperlihatkan ternyata setiap penambahan 1% pengaruh pengetahuan perpajakan, maka nilai kepatuhan wajib pajak kendaraan bermotor bertambah sebesar 0.072. Koefisien regresi tersebut bernilai positif, sehingga dapat dikatakan bahwa dampak variabel X terhadap Y ialah positif. Dengan demikian variabel pengaruh pengetahuan perpajakan berdampak signifikan atas kepatuhan wajib pajak kendaraan bermotor di Kantor Samsat Kota Tomohon. Kata Kunci : Pengetahuan Perpajakan, Kepatuhan Wajib Pajak Abstract This research intends to find out whether the influence of tax knowledge on taxpayer compliance at the Tomohon City SAMSAT Office. In this research, the taxpayer compliance variable becomes the dependent variable. The sample in this study was 100 taxpayers and was taken using the Slovin formula. The method used in this research is a survey method with a quantitative approach. In this research, primary data were collected by means of observation data collection techniques, documentation and questionnaires, while the data analysis techniques used in this study were simple regression analysis with normality test, linearity test, and hypothesis testing. The results of the study are that there is a positive and significant impact on the impact of tax knowledge on motor vehicle taxpayer compliance where the simple regression equation in this research shows the X regression coefficient value of 0.072 showing that all 1% additions affect tax knowledge, then the motor vehicle taxpayer compliance value increases by 0.072. The regression coefficient is positive, so it can be said that the impact of variable X on Y is positive. Thus the variable influence of tax knowledge has a significant impact on motor vehicle taxpayer compliance at the Tomohon City Samsat Office. Keywords: Tax Knowledge, Taxpayer Compliance

Independent assessment of the quality of conditions for implementing educational activities in the region: statistical analysis of the results

Relevance. Currently, the most popular public administration mechanism in the field of education is the assessment of the quality of educational services rendered, an important component of which is an independent assessment of the quality of conditions for implementing educational activities. The use of the ECSI methodology based on structural equation modeling (SEM) can make an important contribution to the development of mechanisms for the independent assessment of the quality of education (IAQE). The research purpose is to study the possibilities of using the method of statistical data analysis for an independent assessment of the quality of conditions for implementing educational activities in the process of clarifying and confirming the results of monitoring studies in education. Materials and methods. Structural equation modeling was used to study data obtained in 1,143 educational institutions of the Sverdlovsk region (Russian Federation) located in 30 municipal districts, 25 cities, 4 closed administrative-territorial entities. The general population of respondents selected for the IAQE was 350,950 people, including parents (legal representatives) – 298,485 people (85%) and students aged over 14 – 52,465 people (15%). Research results. An original methodology for statistical analysis of data from an independent assessment of the quality of education has been developed. The method of structural equation modeling revealed statistically significant links between indicators with integral criteria of structural SEM-models of the IAQE. In particular, the structural SEM-model of the IAQE has a single negative value of the regression coefficient r=-1.32 for the indicator "Availability of information about the organization's teachers on its official website", and the structural SEM-model of the IAQE criterion "Comfort of the conditions in which educational activities are carried out" found the smallest value of the regression coefficient r=0.36 for the indicator "Availability of conditions for organizing the training and education of students with disabilities and disabled people". These results of the statistical analysis of the IAQE allow identifying directions for improving educational and management practices in the region. Conclusion. The developed original methodology can be used to clarify and confirm the results of monitoring studies in the field of independent assessment of the quality of conditions for implementing educational activities in the regions, especially in cases of any questions about the results of the studies conducted and obtaining controversial results.