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A critical review of the Exit-Voice-Loyalty-Neglect literature: limitations, key challenges and directions for future research
The study of human behaviour holds a prominent role in organizational behavior literature. For almost 45 years, the exit, voice, loyalty and neglect typology has attracted scholars' interest and has been linked to employee responses towards dissatisfaction and problematic events in the workplace. This paper reviews the literature and identifies and addresses key theoretical and methodological deficiencies that the exit, voice, loyalty and neglect typology faces that have been either ignored or undeveloped. Moreover, by unpicking this typology as currently portrayed in the existing literature, it proposes key challenges that need to be addressed and provides directions for future research
追加1. 胃切除術後の鼻腔ゾンデ早期抜去について(シンポジウム 中山式切除術をめぐって,第473回千葉医学会例会,第4回佐藤外科例会)
Additional file 4. Proteomic data of strains wild-type, AG553, AG553, AG601 and LL1210 of Clostridium thermocellum
Additional file 7: of Genome-resolved metaproteomic characterization of preterm infant gut microbiota development reveals species-specific metabolic shifts and variabilities during early life
Proteins associated with metaproteome clusters. Shown are top 25 most significantly different protein groups between each metaproteome cluster pair comparison with p-value less than 0.01. Metaproteome clusters are indicated by colored boxes on top of the heatmap. Sample names at the bottom are composed of the infant number (b), day of life (d) and the measurement number (run). (PDF 2441 kb
MOESM5 of The diversity and specificity of the extracellular proteome in the cellulolytic bacterium Caldicellulosiruptor bescii is driven by the nature of the cellulosic growth substrate
Additional file 5: Table S5. Significantly differentially abundant Proteins of Unknown Functions (PUFs) obtained by binary substrates comparison
MOESM3 of The diversity and specificity of the extracellular proteome in the cellulolytic bacterium Caldicellulosiruptor bescii is driven by the nature of the cellulosic growth substrate
Additional file 3: Table S3. Significantly differentially abundant protein in pairiwise comparisons
MOESM2 of The diversity and specificity of the extracellular proteome in the cellulolytic bacterium Caldicellulosiruptor bescii is driven by the nature of the cellulosic growth substrate
Additional file 2: Table S2. Normalized matched ion intensity measurement using mass spectrometry
MOESM4 of The diversity and specificity of the extracellular proteome in the cellulolytic bacterium Caldicellulosiruptor bescii is driven by the nature of the cellulosic growth substrate
Additional file 4: Table S4. Substrate level fold-change matrixes of significant proteins (p value < 0.05 ANOVA)
MOESM1 of The diversity and specificity of the extracellular proteome in the cellulolytic bacterium Caldicellulosiruptor bescii is driven by the nature of the cellulosic growth substrate
Additional file 1. Additional table and figures
MOESM6 of The diversity and specificity of the extracellular proteome in the cellulolytic bacterium Caldicellulosiruptor bescii is driven by the nature of the cellulosic growth substrate
Additional file 6: Table S6. Interproscan annotations of significant Proteins of Unknown Functions (PUFs) that contains signal peptide and obtained by binary substrates
Dynamic control of NFV forwarding graphs with end-to-end deadline constraints
There is a strong industrial drive to use cloud computing technologies and concepts for providing timing sensitive services in the networking domain since it would provide the means to share the physical resources among multiple users and thus increase the elasticity and reduce the costs. In this work, we develop a mathematical model for user-stateless virtual network functions forming a forwarding graph. The model captures uncertainties of the performance of these virtual resources as well as the time-overhead needed to instantiate them. The model is used to derive a service controller for horizontal scaling of the virtual resources as well as an admission controller that guarantees that packets exiting the forwarding graph meet their end-to-end deadline. The Automatic Service and Admission Controller (AutoSAC) developed in this work uses feedback and feedforward making it robust against uncertainties of the underlying infrastructure. Also, it has a fast reaction time to changes in the input