Miracle-dz/UniFAR-FTUs huggingface dataset:
Accumulation of Plant Antenna Complexes 1 s Regulated Post-Transcriptional Mechanisms in Tobacco bY

Transgenic tobacco plants expressing antisense RNA directed against the multigene family of the light-harvesting complex of photosystem II (LHCII) were raised and analyzed biochemically and physiologically. A partia1 5'terminal sequence with 509 nucleotides complementary to cab (chlorophyll alb binding protein) genes reduced the amount of transcript to almost undectectable levels. We demonstrated for endogenous genes that a 5' terminal sequence with only 52 to 105 nucleotides complementary to the transit sequence of cab can be equally efficient in gene repression. Chlorophyll content and chlorophyll a-to-chlorophyll b ratios of thylakoid membranes isolated from transgenic plants were unchanged in comparison with the wild type. Photosynthetic oxygen evolution and in vivo-measured chlorophyll fluorescence of the transformants showed that LHCll accumulates to normal levels. The reduced leve1 of cab mRNA did not correlate with the amount of LHCll i n thylakoids. This indicates that transcriptional regulation is not the rate-limiting step in the biogenesis of the LHCll apoprotein. The antenna size of photosystem II is therefore modulated by yet undiscovered posttranscriptional mechanisms.
Probabilistic forecasting of traffic flow using kernel based extreme learning maching and quantum-bahaved particle swarm optimization

Accurate and reliable forecast of traffic flow is important to intelligent transportation systems (ITS). However, due to the non-stationary of traffic flow data, traditional point forecasting can hardly be accurate, so probabilistic forecasting methods are essential for quantification of the potential uncertainties and risks for traffic management. This paper proposes a kernel extreme learning machine (KELM)-based probabilistic forecasting method of traffic flow, and the parameters of KELM are optimized by using Quantum-behaved particle swarm optimization (QPSO) algorithm. To verify its effectiveness, traffic flow prediction using QPSO-KELM are compared with other methods. Experimental results show that QPSO-KELM has higher prediction accuracy at different confidence levels for practical applications in traffic management systems. And it will help traffic managers to make right decisions.
Political representation in the European Union : still democratic in times of crisis?

The search for democratic representation in times of crisis 5 Sandra Kroger Part I: Electoral forms of representation and the democratic crisis of the EU Compounded Representation in the EU: no country for old parliaments? 37 Johannes Pollak Party strategies towards interest groups in a Europeanized Europe 70 Anne Rasmussen and Gert-Jan Lindeboom The Structure of EU-representation and the Crisis 105 John Erik Fossum Representation in the Councils of the EU 140 Daniel Naurin The Committee of the Regions as representative assembly: mission impossible or miracle in the making? 176 Simona Piattoni Part II: Non-electoral forms of representation in multi-level representation in times of crisis Representation and network governance in Europe 216 Martino Maggetti The European Commission and political representation: A new inter-institutional perspective 250 Nieves Perez-Solorzano Borragan and Stijn Smismans The involvement of the constituencies of European umbrella organizations in EU affairs 287 Sandra Kroger Democratic representation in transnational citizens' forums? 324 Dawid Friedrich Mediated representative politics: the Euro-crisis and the politicization of the EU 366 Hans-Jorg Trenz Who is the Guardian for Constitutionalism in Europe after the Financial Crisis? 400 Michelle Everson and Christian Joerges Part III: Concluding essays Representation as the Cornerstone for Efficient and Legitimate Governance 429 Beate Kohler-Koch Concluding Notes: Rethinking Political Representation in a Supranational Context 472 Dario Castiglione
ARE NON-PROFIT IMMIGRATION ORGANIZATIONS READY FOR A COMPREHENSIVE IMMIGRATION REFORM?

The purpose of this study was to explore whether non-profit immigration organizations are ready for a comprehensive immigration reform. Social workers need to recognize that a lack of readiness among non-profit immigration organizations for a comprehensive immigration reform will lead to a lack of required services for undocumented populations. The sample consisted of twelve religious and non-religiously affiliated non-profit immigration organizations. A qualitative research method was used to analyze the data. The results of the study concluded that non-profit immigration organizations are not ready for a CIR. Although the organizations are not ready, several factors were found to affect their readiness for a comprehensive immigration reform. Factors that negatively contributed to their readiness included learned experiences with Deferred Action for Childhood Arrivals (DACA), directors’ perceptions, and funding. Recommendations for better service delivery to undocumented populations include the recommendation that organizations reviewing their plans by addressing these factors.
A Multi-Agent System for Agent Coordination in Uncertain Environments

We present a multi-agent architecture for coordinating large numbers of mobile agents (e.g. robots) cooperating in uncertain environments. Our approach addresses the problem of navigating large numbers of goal-driven agents through an environment whose state is unknown and has to be discovered during navigation. In our approach, each agent uses an approximate POMDP planner for generating contingency plans, and an efficient control brokering scheme for dispatching agents to goal locations. Extensive experimental results have been obtained in the context of natural disaster relief. Our experiments have been carried out in a realistic simulation of Honduras after Hurricane Mitch destroyed most of the country’s infrastructure.
Simple Collaborative Indoor-Outdoor Modelling Using Mobile Augmented Reality

1. Introduction This paper presents some preliminary results from research we have been performing in the area of collaborative 3D modelling with augmented reality (AR). While there has been a wide range of research work investigating problems such as displays and registration (Rolland and Fuchs 2000), tracking (Welch and Foxlin 2002), and user interfaces (Azuma et al. 2001), these systems are primarily focussed on improving the experience for a single, stand-alone user. Previously, we have presented a number of prototypes that allow users to perform real-time 3D modelling using a mobile AR system (Piekarski and Thomas 2003a) (Piekarski and Thomas 2004), but these were standalone applications for single users to operate. In previous papers describing our software architecture (Piekarski and Thomas 2003b), we have described how the ability to support multiuser collaborative systems is possible. In this paper we describe in more detail collaboration applications that we have developed and how they are implemented.
Tigres Workflow Library: Supporting Scientific Pipelines on HPC Systems

The growth in scientific data volumes has resulted in the need for new tools that enable users to operate on and analyze data on large-scale resources. In the last decade, a number of scientific workflow tools have emerged. These tools often target distributed environments, and often need expert help to compose and execute the workflows. Data-intensive workflows are often ad-hoc, they involve an iterative development process that includes users composing and testing their workflows on desktops, and scaling up to larger systems. In this paper, we present the design and implementation of Tigres, a workflow library that supports the iterative workflow development cycle of data-intensive workflows. Tigres provides an application programming interface to a set of programming templates i.e., sequence, parallel, split, merge, that can be used to compose and execute computational and data pipelines. We discuss the results of our evaluation of scientific and synthetic workflows showing Tigres performs with minimal template overheads (mean of 13 seconds over all experiments). We also discuss various factors (e.g., I/O performance, execution mechansims) that affect the performance of scientific workflows on HPC systems.
Iterative Bilingual Lexicon Extraction from Comparable Corpora Using Topic Model and Context Based Methods

In the literature, two main categories of methods have been proposed for bilingual lexicon extraction from comparable corpora, namely topic model and context based methods. In this paper, we present a bilingual lexicon extraction system that is based on a novel combination of these two methods in an iterative process. Our system does not rely on any prior knowledge and the performance can be iteratively improved. To the best of our knowledge, this is the ﬁrst study that iteratively exploits both topical and contextual knowledge for bilingual lexicon extraction. Experiments conduct on Chinese–English and Japanese–English Wikipedia data show that our proposed method performs signiﬁcantly better than a state–of–the–art method that only uses topical knowledge.
Immune pressure selects for Plasmodium falciparum parasites presenting distinct red blood cell surface antigens and inducing strain-specific protection in Saimiri sciureus monkeys

The passive transfer of specific antibodies to a naive splenectomized Saimiri sciureus monkey infected with the Palo Alto FUP/SP strain of Plasmodium falciparum resulted in the emergence of parasites resistant to the transferred antibodies. Molecular typing indicated that the original and resistant parasites were isogenic. Saimiri monkeys primed with original parasites were fully susceptible to a challenge by the resistant ones, and vice versa. This absence of crossprotection indicates that strain-specific determinants would be the major targets of protective immunity developed in these monkeys. Phenotypic analysis showed that the surface of the infected red blood cells differed in both lines. Original parasites formed rosettes, autoagglutinated, presented characteristic knobs at the surface of the infected red blood cell, and did not agglutinate in the presence of a pool of human immune sera. In contrast, the resistant parasites did not form rosettes, did not spontaneously autoagglutinate, presented abnormal flattened knobs, and formed large aggregates in the presence of a pool of human immune sera. The presence of strain-specific determinants at the surface of the resistant parasites was confirmed by surface immunofluorescence and agglutination using homologous Saimiri serum. Neither the original nor the resistant parasites cytoadhered to an amelanotic melanoma cell line, suggesting that cytoadherence and agglutination can be dissociated. These results indicate that parasites that differ by the antigens exposed at the surface of the red blood cell induce strain- specific immunity. Furthermore they show that rosetting and nonrosetting parasites differ in their antigenic properties and do not crossprotect.
Risk of gastrointestinal bleeding and cardiovascular events due to NSAIDs in the diabetic elderly population

Objective We assessed gastrointestinal bleeding (GIB) and cardiovascular (CV) risks such as myocardial infarction or stroke associated with non-steroidal anti-inflammatory drug (NSAID) use among elderly patients with diabetes. Methods Using a nationwide claims database covering 2008–2012, we conducted a cohort study of patients with diabetes aged ≥65 years. Among the 117 610 patients, NSAID users and non-users were propensity score matched, excluding any who had experienced a potentially confounding event in the year prior to cohort entry. Multivariate Cox regression models treating death as competing risk were used. Results There were 2184 (1.86%) cases of GIB and NSAID users had an adjusted HR (aHR) of 1.68 (95% CI 1.54 to 1.83) of GIB risk after adjusting for age, sex, comorbidities and recent medications compared to NSAID non-users. There were 9333 (7.94%) cases of myocardial infarction or stroke with an aHR of 1.20 (95% CI 1.15 to 1.25). The risk of GIB was higher in patients with liver disease and renal failure, while that of CV events was higher in patients who received anticoagulants, antiplatelet agents, aspirin and selective serotonin reuptake inhibitors. The number needed to harm was 111 for GIB and 77 for CV events. Among different NSAIDs, nimesulide increased the risk of GIB and ketorolac increased the risk of CV events compared to celecoxib (aHR 2.60 and 3.13, respectively). Conclusions Elderly patients with diabetes treating NSAIDs had a significantly higher risk of both upper GIB and CV events compared to NSAID non-users, and the risk varied among different NSAIDs regardless of cyclooxygenase-2 activity.
Bone Marrow-Derived Progenitor Cells Augment Venous Remodeling in a Mouse Dorsal Skinfold Chamber Model

The delivery of bone marrow-derived cells (BMDCs) has been widely used to stimulate angiogenesis and arteriogenesis. We identified a progenitor-enriched subpopulation of BMDCs that is able to augment venular remodeling, a generally unexplored area in microvascular research. Two populations of BMDCs, whole bone marrow (WBM) and Lin−/Sca-1+ progenitor cells, were encapsulated in sodium alginate and delivered to a mouse dorsal skinfold chamber model. Upon observation that encapsulated Sca-1+ progenitor cells enhance venular remodeling, the cells and tissue were analyzed on structural and molecular levels. Venule walls were thickened and contained more nuclei after Sca-1+ progenitor cell delivery. In addition, progenitors expressed mRNA transcript levels of chemokine (C-X-C motif) ligand 2 (CXCL2) and interferon gamma (IFNγ) that are over 5-fold higher compared to WBM. Tissues that received progenitors expressed significantly higher protein levels of vascular endothelial growth factor (VEGF), monocyte chemotactic protein-1 (MCP-1), and platelet derived growth factor-BB (PDGF-BB) compared to tissues that received an alginate control construct. Nine days following cell delivery, tissue from progenitor recipients contained 39% more CD45+ leukocytes, suggesting that these cells may enhance venular remodeling through the modulation of the local immune environment. Results show that different BMDC populations elicit different microvascular responses. In this model, Sca-1+ progenitor cell-derived CXCL2 and IFNγ may mediate venule enlargement via modulation of the local inflammatory environment.
Common MicroRNA Signatures in Cardiac Hypertrophic and Atrophic Remodeling Induced by Changes in Hemodynamic Load

Background Mechanical overload leads to cardiac hypertrophy and mechanical unloading to cardiac atrophy. Both conditions produce similar transcriptional changes including a re-expression of fetal genes, despite obvious differences in phenotype. MicroRNAs (miRNAs) are discussed as superordinate regulators of global gene networks acting mainly at the translational level. Here, we hypothesized that defined sets of miRNAs may determine the direction of cardiomyocyte plasticity responses. Methodology/Principal Findings We employed ascending aortic stenosis (AS) and heterotopic heart transplantation (HTX) in syngenic Lewis rats to induce mechanical overloading and unloading, respectively. Heart weight was 26±3% higher in AS (n = 7) and 33±2% lower in HTX (n = 7) as compared to sham-operated (n = 6) and healthy controls (n = 7). Small RNAs were enriched from the left ventricles and subjected to quantitative stem-loop specific RT-PCR targeting a panel of 351 miRNAs. In total, 153 miRNAs could be unambiguously detected. Out of 72 miRNAs previously implicated in the cardiovascular system, 40 miRNAs were regulated in AS and/or HTX. Overall, HTX displayed a slightly broader activation pattern for moderately regulated miRNAs. Surprisingly, however, the regulation of individual miRNA expression was strikingly similar in direction and amplitude in AS and HTX with no miRNA being regulated in opposite direction. In contrast, fetal hearts from Lewis rats at embryonic day 18 exhibited an entirely different miRNA expression pattern. Conclusions Taken together, our findings demonstrate that opposite changes in cardiac workload induce a common miRNA expression pattern which is markedly different from the fetal miRNA expression pattern. The direction of postnatal adaptive cardiac growth does, therefore, not appear to be determined at the level of single miRNAs or a specific set of miRNAs. Moreover, miRNAs themselves are not reprogrammed to a fetal program in response to changes in hemodynamic load.
Angiographic and Clinical Result of Endovascular Treatment in Paraclinoid Aneurysms

Purpose The purpose of this study was to analyze the results of an immediate and mid-term angiographic and clinical follow-up of endovascular treatment for paraclinoid aneurysms. Materials and Methods From January 2002 to December 2012, a total of 113 consecutive patients (mean age: 56.2 years) with 116 paraclinoid saccular aneurysms (ruptured or unruptured) were treated with endovascular coiling procedures. Clinical and angiographic outcomes were retrospectively evaluated. Results Ninety-three patients (82.3%) were female. The mean size of the aneurysm was 5.5 mm, and 101 aneurysms (87.1%) had a wide neck. Immediate catheter angiography showed complete occlusion in 40 aneurysms (34.5%), remnant sac in 51 (43.9%), and remnant neck in 25 (21.6%). Follow-up angiographic studies were performed on 80 aneurysms (69%) at a mean period of 20.4 months. Compared with immediate angiographic results, follow-up angiograms showed no change in 38 aneurysms, improvement in 37 (Fig. 2), and recanalization in 5. There were 6 procedure-related complications (5.2%), with permanent morbidity in one patient. Conclusion Out study suggests that properly selected patients with paraclinoid aneurysms can be successfully treated by endovascular means.
DEPARTMENT OF MANAGEMENT AFDELING FOR VIRKSOMHEDSLEDELSE UNIVERSITY OF AARHUS C DENMARK

This paper extends Dranove et al.'s (1998) framework, which addresses the question regarding the existence of strategic groups, by focusing on the performance implications from firms engaging in strategic interactions between firms from the same group. This paper furthermore considers strategic interactions with firms from different strategic groups, the strength of tie and the larger context. Furthermore, this paper addresses their frameworks confusion of group-level effects with firm level effects that are derived from the firm manner of participation in a network, by defining a network/context effect. We argue that including strategic interactions between firms from different strategic groups enhances their framework, by reducing the importance they attached to mobility barriers in explaining persistence in performance within a strategic group. However, it increases their importance regarding explanations of the opportunities for strategic interactions between strategic groups. As a further contribution these ideas in addition are coupled with the strength and type of the relations, and the larger context in which the relations are imbedded, in order to develop propositions regarding performance implications. The propositions also illuminate the potential dark side of relations and networks. We conclude by discussing the implications for future research on strategic groups. A large amount of research has focused on strategic groups in strategic management. Strategic groups are commonly defined as a set of firms with similar strategies, or as groups of firms that are isolated by common mobility barriers (Hoskisson et al. 1999; Porter, 1979). 1 The theory has enhanced our understanding of substructures within an industry. Despite a large stream of research studying strategic groups across a wide range of industries, there is little consensus regarding the research findings. This lack of consensus concerning a link between strategic group membership and performance has led to severe criticism of the Dranove et al. (1998) points out that perhaps the most critical concern is whether the study of intraindustry groups provides any information that cannot be gleaned from the study of industries and individual firms (i.e. the concept of strategic groups is only important if there is a relationship between group conduct and firm performance). To confront this criticism they offered a working definition of strategic group existence and developed an empirical framework for identifying group-level effects, based on the " New Economics of Industrial Organization " , to distinguish true group-level effects from spurious group-level effects. In their development of the model they focused their …
On Crowd-verification of Biological Networks

Biological networks with a structured syntax are a powerful way of representing biological information generated from high density data; however, they can become unwieldy to manage as their size and complexity increase. This article presents a crowd-verification approach for the visualization and expansion of biological networks. Web-based graphical interfaces allow visualization of causal and correlative biological relationships represented using Biological Expression Language (BEL). Crowdsourcing principles enable participants to communally annotate these relationships based on literature evidences. Gamification principles are incorporated to further engage domain experts throughout biology to gather robust peer-reviewed information from which relationships can be identified and verified. The resulting network models will represent the current status of biological knowledge within the defined boundaries, here processes related to human lung disease. These models are amenable to computational analysis. For some period following conclusion of the challenge, the published models will remain available for continuous use and expansion by the scientific community.