177,485 research outputs found
Biogenesis of photosynthetic complexes in the chloroplast of Chlamydomonas reinhardtii requires ARSA1, a homolog of prokaryotic arsenite transporter and eukaryotic TRC40 for guided entry of tail-anchored proteins.
as1, for antenna size mutant 1, was obtained by insertion mutagenesis of the unicellular green alga Chlamydomonas reinhardtii. This strain has a low chlorophyll content, 8% with respect to the wild type, and displays a general reduction in thylakoid polypeptides. The mutant was found to carry an insertion into a homologous gene, prokaryotic arsenite transporter (ARSA), whose yeast and mammal counterparts were found to be involved in the targeting of tail-anchored (TA) proteins to cytosol-exposed membranes, essential for several cellular functions. Here we present the characterization in a photosynthetic organism of an insertion mutant in an ARSA-homolog gene. The ARSA1 protein was found to be localized in the cytosol, and yet its absence in as1 leads to a small chloroplast and a strongly decreased chlorophyll content per cell. ARSA1 appears to be required for optimal biogenesis of photosynthetic complexes because of its involvement in the accumulation of TOC34, an essential component of the outer chloroplast membrane translocon (TOC) complex, which, in turn, catalyzes the import of nucleus-encoded precursor polypeptides into the chloroplast. Remarkably, the effect of the mutation appears to be restricted to biogenesis of chlorophyll-binding polypeptides and is not compensated by the other ARSA homolog encoded by the C. reinhardtii genome, implying a non-redundant function
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
The Influence of Self Leadership on Task Commitment Through Self-Efficacy Mediation in Students
This study uses quantitative research methods. The population and samples used were students. The research instrument was a questionnaire, namely aspects of task commitment, self-leadership and self-efficacy. The data analysis method used is SEM-PLS. The results showed hypothesis 1 there is an influence of self-leadership (X) on self-efficacy (M). This influence can be seen from the strength of the relationship (R-value) of 0.542 which is classified as sufficient with an R Square value of 0.293 or 29.3%. This means that the self-leadership variable has a direct effect of 29.3% on self-efficacy. Hypothesis 2 of this study is the effect of self-efficacy on task commitment. This hypothesis is proven correct because the significance value is 0.000 <0.05. The effect can also be seen in the Summary table with an influence strength value (R-value) of 0.549 and a coefficient of determination of 0.302 or 30.2%. This means that the self-efficacy variable (M) has a direct effect of 30.2% on task commitment. Hypothesis 3, namely that there is an effect of self-leadership on task commitment through self-efficacy, this hypothesis is proven by the significance value in the regression coefficient table of 0.000 <0.05. while the calculated R value is 0.580. the coefficient of determination obtained a value of 0.336 or 33.6%. This means that the variables of self-leadership and self-efficacy have an indirect effect of 33.6% on task commitment
The Influence of Stress and Resilience on Procrastination in Adolescents
Procrastination in adolescents does not happen immediately like me, there are several factors that trigger procrastination, including stress and resilience. This study aims to find out whether stress and resilience have an influence on procrastination. The type of research in this research is quantitative using a descriptive research design. The results of the study stated that stress and resilience can affect procrastination by 4.8%, which means that these two variables have very little effect on procrastination. While the significance value is 0.60 > 0.05, which means it is not significant. Specifically, there is a low negative correlation between stress and resilience (r = -0.017), meaning that the higher the individual's resilience, the lower the stress level. There is a strong positive correlation between stress and procrastination (r = 0.202), meaning that the higher the individual's stress level, the higher the procrastination. In addition, procrastination was found to have a small positive correlation with resilience (r = 0.081), meaning that high resilience in individuals can make individuals procrastinate, but with a small percentage. It can be concluded that there is an insignificant effect between stress and resilience on procrastination, which is 4.8% which tends to be small
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Kesejahteraan Psikologi dengan Stres Kerja Karyawan Pada Masa Pandemi Copid-19
This study aims to determine the relationship between psychological well being and work stress on employees of PT work form home during the pandemic. Participants in this study were employees who worked at PT with a total population of 37 participants. The research method used in this study is a quantitative approach, with a non-probabilty sampling technique, namely saturated sampling by taking the entire population of 37 participants. Measurement of psychological well being using the instrument used in this study came from Ryff's character whose research scale has been modified and adapted to the context to be studied. Ryff to measure psychological well being with Cronbach alpha 0.624 while to measure work stress using the work stress scale according to Robbins (2013) and cronbach's alpha of 0.825. The scale is distributed in the form of a questionnaire, with data analysis using IBM SPSS Statistics version 21 and correlation test using product moment from Karl Pearson. The results of data analysis obtained correlation coefficient r r = 0.235; p>0.05. This means that the results of the study do not have a significant relationship. Thus, the research hypothesis which reads that there is a negative relationship between psychological well being and work stress, psychological well being and work stress of employees working from home during the pandemic at PT is rejected
Self-Efficacy, Teacher’s Attitude, and English Language Learning Achievements
Student’s learning achievement is affected by internal and external factors. This study aimed to discover the relationship between self-efficacy and teachers' attitudes with SMP N (State Junior High School) 1 Bantul student learning achievement in English language subjects. The self-efficacy variable is considered the internal factor, while the teacher’s attitude is one of the external factors. This study is quantitative research using the non-experimental research design and correlational approach. The research population involved 320 students of Grade VIII of SMP N 1 Bantul, selected using the cluster random sampling technique. The research data were collected using the self-efficacy scale adapted from Gafoor & Ashraf (2006), the teacher’s attitude scale compiled by Yuzarion (2014), and students’ final semester examination grades from the Even Semester Year 2022/2023. The data analysis technique applied to analyze these data was multiple linear regression using the assistance of the SPSS application. In the minor hypothesis testing, an R-value of .539 was obtained for the self-efficacy variable, and .690 for the teacher attitude variable with a probability value of .000. Based on the results of multiple regression analysis for the major hypothesis, an R-value of .701 was obtained with a probability value of .000. These results mean that there is a strong relationship between self-efficacy and teacher attitudes towards student’s learning achievement. The effective contribution separately for the self-efficacy variable is 8.8% and 40.3% for the teacher attitude variable. The total effective contribution is 49.1%, with the remaining 50.9% influenced by other variables not discussed in this research
Kecerdasan Emosional Terhadap Kecemasan Menghadapi Masa Pensiun Pegawai
The purpose of this study was to determine the effect of emotional intelligence on employee anxiety in facing retirement. The research design used simple linear regression analysis with the Independent variable Emotional Intelligence (X) and the dependent variable Anxiety (Y), the data analysis technique used was the basic assumption test (data normality test, linearity test and homogeneity test), hypothesis testing namely regression test linear. T test and R Square test. The results of the research from a simple linear regression test Y = - 2.870 + 0.866 means that employees who have 86.6% emotional intelligence will be able to suppress the anxiety that exists within themselves so that personal implementation that arises is a calm life and is able to adapt to conditions or the environment . Then the results of the t test (partial) there is an influence between emotional intelligence on anxiety facing retirement, namely -2.563 meaning less than 0.05. And the value of R2 (R Square) is 0.974 or 97.4% while the remaining 2.6% is influenced by other factors such as social support, self-concept and so on which were not examined in this study
Social Support and Psychological Well-being of Students who are Compiling their Final Assignments
The thesis is task end students whose nature must be a condition for graduation. During the work thesis, students experience various obstacles that disturb their psychological well-being. Support social is one of the factors that contribute to Psychological Well-Being. When stressed with academic demands in the form of a thesis, students try to look for support social from the environment family, or friends. Research This uses the approach of descriptive correlational. The population and Sample are Riau University FKIP students. The retrieval technique sample with the Snowball Sampling Technique obtained a sample of 96 samples. The instrument used was the Social Support and Self-Adaptation questionnaire with the results of the instrument validity test with SPSS showing that all the statement items got a value of r-count > r-table, so they were declared valid, and the reliability test with the Cronbach's Alpha test got a value greater than 0.06, so that both The questionnaire was declared reliable.The results of the study found that there is a significant relationship between social support social Psychological Well-Being of students who are doing a thesis
Korelasi Kepribadian Fear Missing Out terhadap Adiksi Impulsive Online Buying di Masa Pandemi Pada Anak dan Remaja
FOMO is the worry, anxiety, or fear that a person experiences when he is not involved in an event, experience, or conversation in his social environment. A person with FOMO syndrome can have an impact on health. However, making purchases based purely on emotional needs creates the possibility of buying things that are not needed and can become uncontrollable behavior. The aim of this study was to find out that FOMO personality has a significant relationship with impulsive online buying addiction during a pandemic in adolescents at Alalak 1 high school. Test the hypothesis of this study using the Product Moment correlation technique. This test examines the relationship between FOMO personality (X) and impulsive online buying addiction (Y). The results of data calculations use the product moment correlation formula to find out how significant the correlation coefficient is between variable X and variable Y. Through these calculations, an r count of 0.616 is obtained with a significant level of 5%, an r table of 0.197 is obtained, which confirms that Fomo has a significant relationship to Addiction Impulsive online buying
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