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Work in challenging and uncertain times : the changing employment relationship
\"With new technology, evolving business models and an increased diversity in working practices across organisations, we are facing changes to employment relationships on a scale that rival those of the so-called First Industrial Revolution. The changes are so dramatic, resulting not only in the need for workers to re-skill and adapt and for employers and policy-makers to rethink social protection provision, a complete reassessment of what we have come to know as traditional human resource management and employee relations is now required. In Change and Risk in Employment Relationships, the authors take a refreshing but realistic view of how contemporary work relationships are now organised and managed, and how these might evolve further in the future. Important questions that are addressed in the book include: 'who, precisely, is the employer?'; 'how do we now define a \"career\"?'; 'do we need to redefine or even discard ideas of \"work engagement\"?'; and 'what is now the psychological contract between employer and employee?'. Based on extensive research but written in an accessible and engaging style, each chapter in the book is clearly presented within a common framework, making it an ideal text to be used in the classroom and by practitioners alike. Elements include: the key issue; the regulations within different jurisdictions; interviews with key players and policy-makers; and a summary of what might come next. The book sets out how we might develop a fairer, robust and workable framework for the new economy\"-- Provided by publisher.
Book
Stimulating resistance
Mice that experience an enriched environment are more resistant to tumour growth.
Journal Article
multiGSEA: a GSEA-based pathway enrichment analysis for multi-omics data
Background
Gaining biological insights into molecular responses to treatments or diseases from omics data can be accomplished by gene set or pathway enrichment methods. A plethora of different tools and algorithms have been developed so far. Among those, the gene set enrichment analysis (GSEA) proved to control both type I and II errors well. In recent years the call for a combined analysis of multiple omics layers became prominent, giving rise to a few multi-omics enrichment tools. Each of these has its own drawbacks and restrictions regarding its universal application.
Results
Here, we present the
multiGSEA
package aiding to calculate a combined GSEA-based pathway enrichment on multiple omics layers. The package queries 8 different pathway databases and relies on the robust GSEA algorithm for a single-omics enrichment analysis. In a final step, those scores will be combined to create a robust composite multi-omics pathway enrichment measure.
multiGSEA
supports 11 different organisms and includes a comprehensive mapping of transcripts, proteins, and metabolite IDs.
Conclusions
With
multiGSEA
we introduce a highly versatile tool for multi-omics pathway integration that minimizes previous restrictions in terms of omics layer selection, pathway database availability, organism selection and the mapping of omics feature identifiers.
multiGSEA
is publicly available under the GPL-3 license at
https://github.com/yigbt/multiGSEA
and at bioconductor:
https://bioconductor.org/packages/multiGSEA
.
Journal Article
Recognizing & engaging employees
A guide to improving morale, productivity, and personal achievement at work. Nelson walks you step-by-step through incentives and mechanisms that must be in place for a recognition and engagement program to be effective in the long term.
Book
Impact of enriched environment on motor performance and learning in mice
Neuroscience heavily relies on animal welfare in laboratory rodents as it can significantly affect brain development, cognitive function and memory formation. Unfortunately, laboratory animals are often raised in artificial environments devoid of physical and social stimuli, potentially leading to biased outcomes in behavioural assays. To assess this effect, we examined the impact of social and physical cage enrichment on various forms of motor coordination. Our findings indicate that while enriched-housed animals did not exhibit faster learning in eyeblink conditioning, the peak timing of their conditioned responses was slightly, but significantly, improved. Additionally, enriched-housed animals outperformed animals that were housed in standard conditions in the accelerating rotarod and ErasmusLadder test. In contrast, we found no significant effect of enrichment on the balance beam and grip strength test. Overall, our data suggest that an enriched environment can improve motor performance and motor learning under challenging and/or novel circumstances, possibly reflecting an altered state of anxiety.
Journal Article
Nanoscale lateral displacement arrays for the separation of exosomes and colloids down to 20nm
Deterministic lateral displacement (DLD) pillar arrays are an efficient technology to sort, separate and enrich micrometre-scale particles, which include parasites, bacteria, blood cells and circulating tumour cells in blood. However, this technology has not been translated to the true nanoscale, where it could function on biocolloids, such as exosomes. Exosomes, a key target of 'liquid biopsies', are secreted by cells and contain nucleic acid and protein information about their originating tissue. One challenge in the study of exosome biology is to sort exosomes by size and surface markers. We use manufacturable silicon processes to produce nanoscale DLD (nano-DLD) arrays of uniform gap sizes ranging from 25 to 235nm. We show that at low Peclet (Pe) numbers, at which diffusion and deterministic displacement compete, nano-DLD arrays separate particles between 20 to 110nm based on size with sharp resolution. Further, we demonstrate the size-based displacement of exosomes, and so open up the potential for on-chip sorting and quantification of these important biocolloids.
Journal Article
Ecological networks of dissolved organic matter and microorganisms under global change
Microbes regulate the composition and turnover of organic matter. Here we developed a framework called Energy-Diversity-Trait integrative Analysis to quantify how dissolved organic matter and microbes interact along global change drivers of temperature and nutrient enrichment. Negative and positive interactions suggest decomposition and production processes of organic matter, respectively. We applied this framework to manipulative field experiments on mountainsides in subarctic and subtropical climates. In both climates, negative interactions of bipartite networks were more specialized than positive interactions, showing fewer interactions between chemical molecules and bacterial taxa. Nutrient enrichment promoted specialization of positive interactions, but decreased specialization of negative interactions, indicating that organic matter was more vulnerable to decomposition by a greater range of bacteria, particularly at warmer temperatures in the subtropical climate. These two global change drivers influenced specialization of negative interactions most strongly via molecular traits, while molecular traits and bacterial diversity similarly affected specialization of positive interactions.
Microbes are intimately linked with the fate of organic matter. Here the authors develop an ecological network framework and show how microbes and dissolved organic matter interact along global change drivers of temperature and nutrient enrichment via manipulative field experiments on mountains.
Journal Article