316 research outputs found

    Pengaruh Budaya Organisasi, Disiplin Kerja Dan Motivasi Kerja Terhadap Peningkatan Kinerja Karyawan PT. Perkebunan Nusantara III Medan

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    Penelitian lini lbertujuan luntuk lmenjelaskan lbahwa lbudaya lorganisasi, ldisiplin lkerja ldan lmotivasi lkerja lberpengaruh lterhadap lpeningkatan lkinerja lkaryawan lPT. lPerkebunan lNusantara lIII lMedan. lInstrumen lyang ldigunakan lialah lkuesioner lguna lmemperoleh ldata. lPopulasi lyang ldigunakan ladalah sebanyak 250 dan 84 berperan lsebagai lsampel, ldimana lsampel ltersebut lberperan lsebagai lresponden. lData lpada lpenelitian lini ldiolah ldengan lprogram laplikasi lSPSS. lDan ldiperoleh lhasil luji lsimultan ldengan lFhitung lsebesar l(36,134) l> lFtabel l(2,49) ldari lhasil ldiatas, ldapat diindikasikan bahwa hasil dari penelitian tersebut Ho ditolak dan Ha dierima. Hal ini ljuga ldidukung ldengan lnilai lsignifikan lsenilai l0,001 l< l0,05. lOleh lkarena litu lvariabel lbebas latau lindependent ldari lbudaya lorganisasi, ldisiplin lkerja, ldan lmotivasi lkerja lsecara lbersama-sama lmemberikan lpengaruh lpada lvariabel lterikat latau ldependen lyaitu lkinerja lkaryawan. lJuga ldiperoleh luji parsial dengan nilai thitung dari variabel bebas atau independen dari budaya organisasi (3,667) > ttabel l(1,990), latau lnilai ldari lsignifikan lt ldari lvariabel lbudaya l(0,001) l< l(0,05), lnilai lthitung lldari lvariabel lbebas latau lindependen ldari ldisiplin lkerja l(2,251) >ttabel l(1,990), latau lnilai ldari lsignifikansi lt ldari lvariabel ldisiplin lkerja l(0,027) l< l(0,05) ldan lnilai lthitung ldari lvariabel lbebas latau lindependen ldari lmotivasi lkerja l(2,960) l> lttabel l(1,990), latau lnilai ldari lsignifikansi lt ldari lvariabel bebas atau independen dari motivasi kerja (0,004) < (0,05). &nbsp

    A Functional Selection Model Explains Evolutionary Robustness Despite Plasticity in Regulatory Networks

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    Evolutionary rewiring of regulatory networks is an important source of diversity among species. Previous evidence suggested substantial divergence of regulatory networks across species. However, systematically assessing the extent of this plasticity and its functional implications has been challenging due to limited experimental data and the noisy nature of computational predictions. Here, we introduce a novel approach to study cis-regulatory evolution, and use it to trace the regulatory history of 88 DNA motifs of transcription factors across 23 Ascomycota fungi. While motifs are conserved, we find a pervasive gain and loss in the regulation of their target genes. Despite this turnover, the biological processes associated with a motif are generally conserved. We explain these trends using a model with a strong selection to conserve the overall function of a transcription factor, and a much weaker selection over the specific genes it targets. The model also accounts for the turnover of bound targets measured experimentally across species in yeasts and mammals. Thus, selective pressures on regulatory networks mostly tolerate local rewiring, and may allow for subtle fine-tuning of gene regulation during evolution

    Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons

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    Single-cell RNA sequencing (RNA-Seq) provides rich information about cell types and states. However, it is difficult to capture rare dynamic processes, such as adult neurogenesis, because isolation of rare neurons from adult tissue is challenging and markers for each phase are limited. Here, we develop Div-Seq, which combines scalable single-nucleus RNA-Seq (sNuc-Seq) with pulse labeling of proliferating cells by 5-ethynyl-2′-deoxyuridine (EdU) to profile individual dividing cells. sNuc-Seq and Div-Seq can sensitively identify closely related hippocampal cell types and track transcriptional dynamics of newborn neurons within the adult hippocampal neurogenic niche, respectively. We also apply Div-Seq to identify and profile rare newborn neurons in the adult spinal cord, a noncanonical neurogenic region. sNuc-Seq and Div-Seq open the way for unbiased analysis of diverse complex tissues.National Institute of Mental Health (U.S.) (Grant U01MH105960)National Institute of Mental Health (U.S.) (Grant 5DP1-MH100706)National Institute of Mental Health (U.S.) (Grant 1R01-MH110049

    Arboretum: Reconstruction and analysis of the evolutionary history of condition-specific transcriptional modules

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    Comparative functional genomics studies the evolution of biological processes by analyzing functional data, such as gene expression profiles, across species. A major challenge is to compare profiles collected in a complex phylogeny. Here, we present Arboretum, a novel scalable computational algorithm that integrates expression data from multiple species with species and gene phylogenies to infer modules of coexpressed genes in extant species and their evolutionary histories. We also develop new, generally applicable measures of conservation and divergence in gene regulatory modules to assess the impact of changes in gene content and expression on module evolution. We used Arboretum to study the evolution of the transcriptional response to heat shock in eight species of Ascomycota fungi and to reconstruct modules of the ancestral environmental stress response (ESR). We found substantial conservation in the stress response across species and in the reconstructed components of the ancestral ESR modules. The greatest divergence was in the most induced stress, primarily through module expansion. The divergence of the heat stress response exceeds that observed in the response to glucose depletion in the same species. Arboretum and its associated analyses provide a comprehensive framework to systematically study regulatory evolution of condition-specific responses.Howard Hughes Medical InstituteBroad Institute of MIT and HarvardNational Institutes of Health (U.S.) (Pioneer Award)National Institutes of Health (U.S.) (R01 2R01CA119176-01)Burroughs Wellcome Fund (Career Award at the Scientific Interface)Alfred P. Sloan Foundatio

    Clinical Characteristics and Outcomes of Patients With Cutibacterium acnes Endocarditis

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    Importance: It is suggested that patients with Cutibacterium acnes endocarditis often present without fever or abnormal inflammatory markers. However, no study has yet confirmed this statement. Objective: To assess the clinical characteristics and outcomes of patients with C acnes endocarditis. Design, Setting, and Participants: A case series of 105 patients presenting to 7 hospitals in the Netherlands and France (4 university hospitals and 3 teaching hospitals) with definite endocarditis according to the modified Duke criteria between January 1, 2010, and December 31, 2020, was performed. Clinical characteristics and outcomes were retrieved from medical records. Cases were identified by blood or valve and prosthesis cultures positive for C acnes, retrieved from the medical microbiology databases. Infected pacemaker or internal cardioverter defibrillator lead cases were excluded. Statistical analysis was performed in November 2022. Main Outcomes and Measures: Main outcomes included symptoms at presentation, presence of prosthetic valve endocarditis, laboratory test results at presentation, time to positive results of blood cultures, 30-day and 1-year mortality rates, type of treatment (conservative or surgical), and endocarditis relapse rates. Results: A total of 105 patients (mean [SD] age, 61.1 [13.9] years; 96 men [91.4%]; 93 patients [88.6%] with prosthetic valve endocarditis) were identified and included. Seventy patients (66.7%) did not experience fever prior to hospital admission, nor was it present at hospitalization. The median C-reactive protein level was 3.6 mg/dL (IQR, 1.2-7.5 mg/dL), and the median leukocyte count was 10.0 × 103/µL (IQR, 8.2-12.2 × 103/µL). The median time to positive blood culture results was 7 days (IQR, 6-9 days). Surgery or reoperation was indicated for 88 patients and performed for 80 patients. Not performing the indicated surgical procedure was associated with high mortality rates. Seventeen patients were treated conservatively, in accordance with the European Society of Cardiology guideline; these patients showed relatively high rates of endocarditis recurrence (5 of 17 [29.4%]). Conclusions and Relevance: This case series suggests that C acnes endocarditis was seen predominantly among male patients with prosthetic heart valves. Diagnosing C acnes endocarditis is difficult due to its atypical presentation, with frequent absence of fever and inflammatory markers. The prolonged time to positivity of blood culture results further delays the diagnostic process. Not performing a surgical procedure when indicated seems to be associated with higher mortality rates. For prosthetic valve endocarditis with small vegetations, there should be a low threshold for surgery because this group seems prone to endocarditis recurrence.</p

    A Novel Bayesian DNA Motif Comparison Method for Clustering and Retrieval

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    Characterizing the DNA-binding specificities of transcription factors is a key problem in computational biology that has been addressed by multiple algorithms. These usually take as input sequences that are putatively bound by the same factor and output one or more DNA motifs. A common practice is to apply several such algorithms simultaneously to improve coverage at the price of redundancy. In interpreting such results, two tasks are crucial: clustering of redundant motifs, and attributing the motifs to transcription factors by retrieval of similar motifs from previously characterized motif libraries. Both tasks inherently involve motif comparison. Here we present a novel method for comparing and merging motifs, based on Bayesian probabilistic principles. This method takes into account both the similarity in positional nucleotide distributions of the two motifs and their dissimilarity to the background distribution. We demonstrate the use of the new comparison method as a basis for motif clustering and retrieval procedures, and compare it to several commonly used alternatives. Our results show that the new method outperforms other available methods in accuracy and sensitivity. We incorporated the resulting motif clustering and retrieval procedures in a large-scale automated pipeline for analyzing DNA motifs. This pipeline integrates the results of various DNA motif discovery algorithms and automatically merges redundant motifs from multiple training sets into a coherent annotated library of motifs. Application of this pipeline to recent genome-wide transcription factor location data in S. cerevisiae successfully identified DNA motifs in a manner that is as good as semi-automated analysis reported in the literature. Moreover, we show how this analysis elucidates the mechanisms of condition-specific preferences of transcription factors

    Osteological and Soft-Tissue Evidence for Pneumatization in the Cervical Column of the Ostrich (Struthio camelus) and Observations on the Vertebral Columns of Non-Volant, Semi-Volant and Semi-Aquatic Birds

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    © 2015 Apostolaki et al. This is an open access article distributed under the terms of the Creative Commons Attribution License [4.0], which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The attached file is the published version of the article

    Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research

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    Variation in Structure and Process of Care in Traumatic Brain Injury: Provider Profiles of European Neurotrauma Centers Participating in the CENTER-TBI Study.

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    INTRODUCTION: The strength of evidence underpinning care and treatment recommendations in traumatic brain injury (TBI) is low. Comparative effectiveness research (CER) has been proposed as a framework to provide evidence for optimal care for TBI patients. The first step in CER is to map the existing variation. The aim of current study is to quantify variation in general structural and process characteristics among centers participating in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. METHODS: We designed a set of 11 provider profiling questionnaires with 321 questions about various aspects of TBI care, chosen based on literature and expert opinion. After pilot testing, questionnaires were disseminated to 71 centers from 20 countries participating in the CENTER-TBI study. Reliability of questionnaires was estimated by calculating a concordance rate among 5% duplicate questions. RESULTS: All 71 centers completed the questionnaires. Median concordance rate among duplicate questions was 0.85. The majority of centers were academic hospitals (n = 65, 92%), designated as a level I trauma center (n = 48, 68%) and situated in an urban location (n = 70, 99%). The availability of facilities for neuro-trauma care varied across centers; e.g. 40 (57%) had a dedicated neuro-intensive care unit (ICU), 36 (51%) had an in-hospital rehabilitation unit and the organization of the ICU was closed in 64% (n = 45) of the centers. In addition, we found wide variation in processes of care, such as the ICU admission policy and intracranial pressure monitoring policy among centers. CONCLUSION: Even among high-volume, specialized neurotrauma centers there is substantial variation in structures and processes of TBI care. This variation provides an opportunity to study effectiveness of specific aspects of TBI care and to identify best practices with CER approaches
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