Pengaruh Komitmen Kerja, Stres Kerja Dan Disiplin Kerja Terhadap Kinerja Karyawan Bagian Spinning III PT. Apac Inti Corpora

The need for human resources are not small and labor requirements vary with the complex challenges of the work is a problem for a company. PT. APAC INTI CORPORA engaged in textiles that need to maintain human resources work in order to meet the quantity and quality of the product. However, in 2013 the production and performance of any inconsistency unfavorable assessments on the performance of the employee.The purpose of research to determine the effect of work commitment, job stress, and work discipline on employee performance Spinning Part III PT. APAC INTI CORPORA. This research method is explanatory, data collection through interviews with questionnaires. Proportionate stratified random sampling technique is used with a sample of 87 people. The analysis technique used was qualitative and quantitative. Quantitative analysis using validity, reliability test, correlation coefficient, simple and multiple regression analysis, the coefficient of determination, cross tabulation, and tests of significance.Categorization work commitment is high, but there are some that in the low category. Employee stress is low, but there is still residing in the high category. Discipline employees in good condition, although there is still a lack of good condition. The level of employee performance is good, but there are still employees who have low performance. Results and discussion showed the higher commitment to work, the higher the performance of employees, reduced work stress, the higher the performance of employees, and the better labour discipline, the higher the performance of employees, simultaneously work commitment, work stress, and labour discipline affect employee performance.Companies must increase loyalty to employees, to put forward a conducive atmosphere in work activities, and socializing with good rules, provide counseling regarding the standards and efficiency of work, and the need for further research by the company or outside parties on other variables such motivation, job satisfaction, training work, which can affect employee performance improvement

TopiaryExplorer: visualizing large phylogenetic trees with environmental metadata

Motivation: Microbial community profiling is a highly active area of research, but tools that facilitate visualization of phylogenetic trees and associated environmental data have not kept up with the increasing quantity of data generated in these studies

The bacterial pedome associated with foot pathologies in sheep::a case study

Hoof lameness is considered to be a major health issue in sheep, and can impact on both animal welfare and production of livestock. However the causes, although generally assumed to have a microbiological basis, are poorly understood. The work presented here investigated the pedome (the bacterial community of the foot) of sheep which were seen to have one of the following conditions: foot rot; a toe granuloma; Ovine Interdigital Dermatitis (OID) / scald. These were compared relative to samples collected from the healthy feet of the same animals. Samples were collected from commercial lambs from two flocks of sheep (one Beulahs, one Suffolks) at times of routine husbandry work. All animals in the flocks and those which showed signs of lameness (7 per flock) were used for sample collection. Interdigital scrapes were collected from lame feet, together with controls (i.e. non-lame feet) from the same animals. Of the lame feet, 3 were classified as having foot rot, 10 had OID / scald and 1 had a toe granuloma. DNA was isolated from the interdigital scrapes and analysed by next generation sequencing following amplification of DNA by PCR. All foot rot samples showed unusual microbial communities: one having an elevated abundance of Fusobacterium spp.; another with an elevated level of a Corynebacterium sp.; and the third an increased level of a number of unidentified sequences. One of the OID samples also had a high abundance of Fusobacterium spp., and another had a similar pattern of unknown organisms to that seen in the example of the foot rot case. The toe granuloma case showed an elevated level of a Mycoplasma sp. Therefore the organisms described here are different from those previously identified in a similar investigation into this topic. However the other eight OID samples had patterns similar to those in controls. This suggests microbial communities associated with ovine foot rot are complex, and that there are bacteria associated with the condition which remain unknown

A tankönyvellátás változásai a rendszerváltozás után

<p>Percentage of each phylum present in fresh faecal samples collected from domesticated rabbits and rectal samples collected from wild rabbits together with the percentage of sequences which could not be classified within a particular phylum.</p

Methods for comparative metagenomics

<p>Abstract</p> <p>Background</p> <p>Metagenomics is a rapidly growing field of research that aims at studying uncultured organisms to understand the true diversity of microbes, their functions, cooperation and evolution, in environments such as soil, water, ancient remains of animals, or the digestive system of animals and humans. The recent development of ultra-high throughput sequencing technologies, which do not require cloning or PCR amplification, and can produce huge numbers of DNA reads at an affordable cost, has boosted the number and scope of metagenomic sequencing projects. Increasingly, there is a need for new ways of comparing multiple metagenomics datasets, and for fast and user-friendly implementations of such approaches.</p> <p>Results</p> <p>This paper introduces a number of new methods for interactively exploring, analyzing and comparing multiple metagenomic datasets, which will be made freely available in a new, comparative version 2.0 of the stand-alone metagenome analysis tool MEGAN.</p> <p>Conclusion</p> <p>There is a great need for powerful and user-friendly tools for comparative analysis of metagenomic data and MEGAN 2.0 will help to fill this gap.</p

Holistic corpus-based dialectology

This paper is concerned with sketching future directions for corpus-based dialectology. We advocate a holistic approach to the study of geographically conditioned linguistic variability, and we present a suitable methodology, 'corpusbased dialectometry', in exactly this spirit. Specifically, we argue that in order to live up to the potential of the corpus-based method, practitioners need to (i) abandon their exclusive focus on individual linguistic features in favor of the study of feature aggregates, (ii) draw on computationally advanced multivariate analysis techniques (such as multidimensional scaling, cluster analysis, and principal component analysis), and (iii) aid interpretation of empirical results by marshalling state-of-the-art data visualization techniques. To exemplify this line of analysis, we present a case study which explores joint frequency variability of 57 morphosyntax features in 34 dialects all over Great Britain

Short clones or long clones? A simulation study on the use of paired reads in metagenomics

<p>Abstract</p> <p>Background</p> <p>Metagenomics is the study of environmental samples using sequencing. Rapid advances in sequencing technology are fueling a vast increase in the number and scope of metagenomics projects. Most metagenome sequencing projects so far have been based on Sanger or Roche-454 sequencing, as only these technologies provide long enough reads, while Illumina sequencing has not been considered suitable for metagenomic studies due to a short read length of only 35 bp. However, now that reads of length 75 bp can be sequenced in pairs, Illumina sequencing has become a viable option for metagenome studies.</p> <p>Results</p> <p>This paper addresses the problem of taxonomical analysis of paired reads. We describe a new feature of our metagenome analysis software MEGAN that allows one to process sequencing reads in pairs and makes assignments of such reads based on the combined bit scores of their matches to reference sequences. Using this new software in a simulation study, we investigate the use of Illumina paired-sequencing in taxonomical analysis and compare the performance of single reads, short clones and long clones. In addition, we also compare against simulated Roche-454 sequencing runs.</p> <p>Conclusion</p> <p>This work shows that paired reads perform better than single reads, as expected, but also, perhaps slightly less obviously, that long clones allow more specific assignments than short ones. A new version of the program MEGAN that explicitly takes paired reads into account is available from our website.</p

Reticulated origin of domesticated emmer wheat supports a dynamic model for the emergence of agriculture in the fertile crescent

We used supernetworks with datasets of nuclear gene sequences and novel markers detecting retrotransposon insertions in ribosomal DNA loci to reassess the evolutionary relationships among tetraploid wheats. We show that domesticated emmer has a reticulated genetic ancestry, sharing phylogenetic signals with wild populations from all parts of the wild range. The extent of the genetic reticulation cannot be explained by post-domestication gene flow between cultivated emmer and wild plants, and the phylogenetic relationships among tetraploid wheats are incompatible with simple linear descent of the domesticates from a single wild population. A more parsimonious explanation of the data is that domesticated emmer originates from a hybridized population of different wild lineages. The observed diversity and reticulation patterns indicate that wild emmer evolved in the southern Levant, and that the wild emmer populations in south-eastern Turkey and the Zagros Mountains are relatively recent reticulate descendants of a subset of the Levantine wild populations. Based on our results we propose a new model for the emergence of domesticated emmer. During a pre-domestication period, diverse wild populations were collected from a large area west of the Euphrates and cultivated in mixed stands. Within these cultivated stands, hybridization gave rise to lineages displaying reticulated genealogical relationships with their ancestral populations. Gradual movement of early farmers out of the Levant introduced the pre-domesticated reticulated lineages to the northern and eastern parts of the Fertile Crescent, giving rise to the local wild populations but also facilitating fixation of domestication traits. Our model is consistent with the protracted and dispersed transition to agriculture indicated by the archaeobotanical evidence, and also with previous genetic data affiliating domesticated emmer with the wild populations in southeast Turkey. Unlike other protracted models, we assume that humans played an intuitive role throughout the process.Natural Environment Research Council [NE/E015948/1]; Slovak Research and Development Agency [APVV-0661-10, APVV-0197-10]info:eu-repo/semantics/publishedVersio

Functional analysis of metagenomes and metatranscriptomes using SEED and KEGG

Background: Metagenomics is the study of microbial organisms using sequencing applied directly to environmental samples. Technological advances in next-generation sequencing methods are fueling a rapid increase in the number and scope of metagenome projects. While metagenomics provides information on the gene content, metatranscriptomics aims at understanding gene expression patterns in microbial communities. The initial computational analysis of a metagenome or metatranscriptome addresses three questions: (1) Who is out there? (2) What are they doing? and (3) How do different datasets compare? There is a need for new computational tools to answer these questions. In 2007, the program MEGAN (MEtaGenome ANalyzer) was released, as a standalone interactive tool for analyzing the taxonomic content of a single metagenome dataset. The program has subsequently been extended to support comparative analyses of multiple datasets. Results: The focus of this paper is to report on new features of MEGAN that allow the functional analysis of multiple metagenomes (and metatranscriptomes) based on the SEED hierarchy and KEGG pathways. We have compared our results with the MG-RAST service for different datasets. Conclusions: The MEGAN program now allows the interactive analysis and comparison of the taxonomical and functional content of multiple datasets. As a stand-alone tool, MEGAN provides an alternative to web portals for scientists that have concerns about uploading their unpublished data to a website