774 research outputs found
The regulation of denitrification in P. denitrificans
Bacterial respiration generates the energy required for bacterial growth. Respiration is not only limited to oxygen but could be fuelled with nitrate in anaerobic environments. Upon signal reception bacteria adjust their respiratory pathway in short time by effectively regulating respiratory gene expression and subsequently engineering the complete removal
of nitrite, nitric oxide and nitrous oxide from the cytoplasm. Comparison of anaerobic and aerobic gene expression data in continuous cultures of Paracoccus denitrificans revealed a majority of highly expressed genes were co-regulated by CPR/FNR type transcriptional regulators. Motif analysis of the upstream region showed similar patterns recognizable by
FNR. P. denitrificans expresses three FNR type regulators that could potentially compete for cognate site binding. Three mutant strains of fnrP, nnrR and narR were used to investigate the transcriptional expression of genes involved in respiration. It was demonstrated that the transcriptional factor FnrP positively regulated the transcription of nar, nor and nap and repressed the expression of nos operon. NnrR positively regulated the nir and nor operons and inhibited the expression of the nar and nos operons, in the latter case due to substrate unavailability. Finally, NarR positively enhanced the expression of the nar operon during the initial stage of anaerobicity. Additionally the expression of the nir and nos operons was repressed in the ÎnarR strain suggesting that NarR may compete for the promoter binding sites and possibly repress the expression of those genes. Additionally, sub-optimal pH inhibited growth and repressed the expression of nirS, norB and nosZ resulting in detectable nitrous oxide emissions. Therefore, the transcription factors FnrP, NnrR and NarR compete for the binding sites upstream of the denitrification operons in a way that optimizes the metabolic rates of denitrification and subsequently eliminates the accumulation of toxic denitrification intermediates. Therefore a new model of regulation of denitrification in P. denitrificans is proposed and discussed
Main transport challenges in South Eastern Europe, after enlargement
This paper looks at the main challenges that are facing the Transport sector in the countries of S. E.
Europe after enlargement. First, it looks at the challenge of setting a common Transport policy and points
as priority areas the questions of: frontier crossings, road transport quotas, working hours (road transport),
restructuring of railways, promotion of Rail Freight âFreewaysâ, new financing schemes through Public
Private Partnerships, and other issues.
Then it looks at the factors that will determine the future transport outlook of the area in both
qualitative and quantitative terms and it finds that there is a web of factors and issues that will play a role,
such as for example the socio-political climate and preferences, the advent of New Technologies, and the
degree of development of the Trans-European Networks.
The paper looks at the âchallengesâ facing the inter-urban and urban transport separately. As regards
the first it concludes that a) higher integration of the transport provider into the whole transport and
logistics chain, and b) closer co-operation and âintegrationâ with the customer, will be the main ones,
while for urban transport the main challenge will be improvement of urban traffic management systems
and, inevitably, demand management measures, as well as implementation and operation of a whole new
series of technologies and systems of urban ICT that will form the Integrated Urban ICT environment of
the future
Defining IT "Business Value" Under Conditions of Economic Uncertainty
Investment in Information Technology (IT) has typically been justified as playing a crucial role in assisting business and other Organisations in conducting their business in a more efficient and effective way. The implied "value" that results from such investments is known as "IT business value" and its definition and measurement under conditions of economic austerity and uncertainty is the main subject of this paper.
The question is why, under such conditions, many Organisations fail to realize the positive impacts expected from IT investment, which by itself is then rather scarce and difficult to attain. To answer this question we concentrate in this paper on the issues of IT business value measurement and more specifically we attempt to answer the research question of how best to define the "business value" of IT and what factors may affect it.
The paper first puts forward the main definitions used for both "IT" and "Business value" in the literature. It then goes on to present and critically examine the most prominent of the existing methodologies for measuring "IT Business value" again by resorting to a relevant literature search. Then, we examine the special influencing factors that are at work in times of economic austerity and uncertainty and puts forward a framework for analyzing IT Business value under conditions of economic austerity. This framework is presented in terms of its elements and a description of their main characteristics and measures (metrics). Finally, before the conclusions, a list of the critical success factors for IT investment is presented which is based on a previous published work of the author
Future Perspectives in HLA Typing Technologies
A wide range of malignant and nonmalignant diseases require hematopoietic stem cell transplantation (HSCT) as last resort therapeutic approach. Graft versus host disease (GVHD), which is one of the major causes of transplant-related mortality, is minimized whenever increased matching of human leukocyte antigens (HLAs) between donor and recipient is present. Suitable donor selection is determined with the utilization of HLA typing. HLAs are highly polymorphic glycoproteins encoded by a region of genes known as the major histocompatibility complex (MHC). Their biological function is to present antigenic peptides to T lymphocytes. However, they also play important role in HSCT acceptance/rejection. During the previous years, various techniques have been acquired in order to better characterize the HLA profile of transplant donors and recipients. This effort is particularly challenging due to MHC size, but most importantly due to high sequence variability in specific regions of the respective genetic loci, between individuals. Initially, HLA typing was performed using serological typing, hybridization techniques, and restriction fragment length polymorphism (RFLP) approaches. Later on, polymerase chain reaction (PCR) based techniques and direct sequencing (dideoxy-based Sanger sequencing) capillary electrophoretic analyses arose. Nowadays, 2nd and 3rd generation sequencing (NGS) technologies show great potential in effectively identifying these polymorphic regions
Recommended from our members
Geometric Multicut
We study the following separation problem: Given a collection of colored objects in the plane, compute a shortest âfenceâ F, i.e., a union of curves of minimum total length, that separates every two objects of different colors. Two objects are separated if F contains a simple closed curve that has one object in the interior and the other in the exterior. We refer to the problem as GEOMETRIC k-CUT, where k is the number of different colors, as it can be seen as a geometric analogue to the well-studied multicut problem on graphs. We first give an O(n4log3n)-time algorithm that computes an optimal fence for the case where the input consists of polygons of two colors and n corners in total. We then show that the problem is NP-hard for the case of three colors. Finally, we give a (2â4/3k)-approximation algorithm
Linking healthcare and societal resilience during the Covid-19 pandemic
Coronavirus disease 2019 (Covid-19) has highlighted the link between public healthcare and the broader context of operational response to complex crises. Data are needed to support the work of the emergency services and enhance governance.
This study develops a Europe-wide analysis of perceptions, needs and priorities of the public affected by the Covid-19 emergency. An online multilingual survey was conducted from mid-May until mid-July 2020. The questionnaire investigates perceptions of public healthcare, emergency management and societal resilience.
In total, N = 3029 valid answers were collected. They were analysed both as a whole and focusing on the most represented countries (Italy, Romania, Spain and the United Kingdom). Our findings highlight some perceived weaknesses in emergency management that are associated with the underlying vulnerability of the global interconnected society and public healthcare systems. The spreading of the epidemic in Italy represented a âtipping pointâ for perceiving Covid-19 as an âemergencyâ in the surveyed countries. The respondents uniformly suggested a preference for gradually restarting activities. We observed a tendency to ignore the cascading effects of Covid-19 and possible concurrence of threats.
Our study highlights the need for practices designed to address the next phases of the Covid-19 crisis and prepare for future systemic shocks. Cascading effects that could compromise operational capacity need to be considered more carefully. We make the case for the reinforcement of cross-border coordination of public health initiatives, for standardization in business continuity management, and for dealing with the recovery at the European level
A sliced-3D approach to finite-difference time-domain modeling by optimizing perfectly matched layers
Estimation in high dimensions: a geometric perspective
This tutorial provides an exposition of a flexible geometric framework for
high dimensional estimation problems with constraints. The tutorial develops
geometric intuition about high dimensional sets, justifies it with some results
of asymptotic convex geometry, and demonstrates connections between geometric
results and estimation problems. The theory is illustrated with applications to
sparse recovery, matrix completion, quantization, linear and logistic
regression and generalized linear models.Comment: 56 pages, 9 figures. Multiple minor change
A comparison of automated approaches to extracting englacial-layer geometry from radar data across ice sheets
- âŠ