Uji Daya Antibakteri dan Identifikasi Isolat Senyawa Katekin dari Daun Teh (Camellia Sinensisl. Var Assamica)

Antibacterial is a substance that can interfere with the growth and metabolism of bacteria, so that these substances can inhibit growth or even kill bacteria. This research aimed to utilize natural materials as a natural antibacterial. This study investigated the ability of isolates catechins of tea leaves to inhibit Staphylococcus aureus and spectral identification of these catechins. Catechin compounds was extracted by water, and then fractionated with CHCl3 and ethyl acetate. Ethyl acetate phase was concentrated fractionation results using a rotary evaporator for further separation using thin layer chromatography with various mobile. The results of the study showed that the concentration of isolates of demonstrated to be effective as antibacterial, with MIC 12.5%. UV spectrum measurement showed that the isolates had a maximum absorption at a wavelength of 279 nm while the FTIR spectrophotometer showed that isolates catechin-containing functional groups C = C aromatic absorption 1500-1600 nm^-1 and OH groups, a broad band between 2000 and 3600 nm^-1

Effects of Compost on Nematode Pratylenchus SP. (Tylenchida: Pratylenchidae) Population in Patchouli

Patchouli is seen as one of the most important export commodities in Indonesia. The presence of parasitic nematode Pratylenchus sp. creates a barrier to plant cultivation. Increasing organic content in soil by applying compost in the plantation is one of approaches in controlling the nematode. This research was mainly aimed to study the effects of compost fertilization on the population growth of nematode Pratylenchus sp. and yields on patchouli. These research used a Completely Randomised Design (CRD) consisting of 12 treatments with three replicates. Selected plant was inoculated with nematodes with the following initial population: 100, 200, 300, 400, and 500 nematodes in soil with and without compost. The plant with no inoculation was used as control. The result of the research confirmed that the addition of compost was capable of suppressing the population of nematode Pratylenchus sp. as much as 58.93 - 67.31% and 40.74 - 59.19% in root and in soil of each treatment, respectively. Compost applied in each treatment positively affected the increasing amount of Patchouli oil yielded, and it could also reduce the loss as much as 18.34 - 43.36%. Trichoderma sp. was found to be dominant in compost in the treatment with its population of 2.1 × 104 propogul/g

Analisis Kemenangan H. Supriyadi,s.sos Terpilih Yang Kedua Kalinya Sebagai Calon Anggota Dprd Kota Semarang 2014 – 2019 Dilihat Dari Prespective Politik

H. Supriyadi S.Sos is a PDIP legislators elected a second time, he was also a member of the legislative background of Private and obtain a second vote. Obtaining statistical data acquisition H. Supriyadi S.Sos voice, demonstrated the superiority and the advantages and performed as well as the implementation of the other defeated candidates not elected in the legislative elections contestants Dapil II Semarang form political strategies chosen. Political strategies is an imaging strategy Parties conducted by H. Supriyadi S.Sos, in approaching the community to achieve the goal of winning the legislative elections to gain the sympathy of the public. Formulation of the problem Seen from the point of political strategy, why H. Supriyadi. S.Sos chosen a second time as a member of Parliament Semarang.Descriptive method is a kind of research relating to the collection of data to provide a snapshot of a social phenomenon or state of the subject or the object of the research is based on facts which appear as the descriptive is a type of research relating to the collection of data to provide a snapshot of a social phenomenon or state of the subject or the object of research.The encouraging results of research and background H. Supriyadi.S.Sos become Chairman of the regional council of Semarang that encourages and background became Chairman of the Parliament is that I started my political career in the Indonesian Democratic Party of Struggle (PDIP) as a grass-roots cadres. As a member, at the lowest levels. Being a member of the party, its existence is quite prominent that friends supported his fellow members to occupy the Chair of Children\u27s Village Branch VIII PDI Bulu Lor (1997-2000)

We need to talk about manels: the problem of implicit gender bias in sport and exercise medicine.

In 2015, a website (www.allmalepanels.tumblr. com/) began documenting instances of all-male panels (colloquially known as a ‘manel’). This, along with the Twitter hashtag #manel, has helped drive recognition of the persistent and pervasive gender bias in the composition of experts assembled to present at conferences and other events. Recent social media discussions have similarly highlighted the prevalence of all-male panels in Sport and Exercise Medicine (SEM). While, to our knowledge, all-male panel trends in SEM have not yet formally been documented or published, one need look no further than SEM conference committees, keynote speaker lists, panels and other events to see that it exists in practice. Why, in 2018, is SEM and its related disciplines still failing to identify and acknowledge the role that implicit bias plays in the very structure of our own research, practice and education? SEM is, after all, a profession that contains experts, and serves populations, of all genders. This editorial will introduce the definition, implications and manifestations of implicit gender bias and then explore how the SEM community can begin to address this issue, advance the discussion and develop a more equitable global community

Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts. Data and metadata are stored on the Open Science Framework website [https://osf.io/mhg94/]

A many-analysts approach to the relation between religiosity and well-being

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β=0.120). For the second research question, this was the case for 65% of the teams (median reported β=0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates

A Many-analysts Approach to the Relation Between Religiosity and Well-being

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N = 10, 535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β = 0.120). For the second research question, this was the case for 65% of the teams (median reported β = 0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates

Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts. Data and metadata are stored on the Open Science Framework website (https://osf.io/mhg94/).</p&gt

Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)

This large, international dataset contains survey responses from N = 12,570 students from 100 universities in 35 countries, collected in 21 languages. We measured anxieties (statistics, mathematics, test, trait, social interaction, performance, creativity, intolerance of uncertainty, and fear of negative evaluation), self-efficacy, persistence, and the cognitive reflection test, and collected demographics, previous mathematics grades, self-reported and official statistics grades, and statistics module details. Data reuse potential is broad, including testing links between anxieties and statistics/mathematics education factors, and examining instruments’ psychometric properties across different languages and contexts