Miracle-dz/UniFAR-FTUs huggingface dataset:
Trauma‐induced alterations in cognition and Arc expression are reduced by previous exposure to 56Fe irradiation

Exposure to ionizing irradiation may affect brain functions directly, but may also change tissue sensitivity to a secondary insult such as trauma, stroke, or degenerative disease. To determine if a low dose of particulate irradiation sensitizes the brain to a subsequent injury, C56BL6 mice were exposed to brain only irradiation with 0.5 Gy of 56Fe ions. Two months later, unilateral traumatic brain injury was induced using a controlled cortical impact system. Three weeks after trauma, animals received multiple BrdU injections and 30 days later were tested for cognitive performance in the Morris water maze. All animals were able to locate the visible and hidden platform during training; however, treatment effects were seen when spatial memory retention was assessed in the probe trial (no platform). Although sham and irradiated animals showed spatial memory retention, mice that received trauma alone did not. When trauma was preceded by irradiation, performance in the water maze was not different from sham‐treated animals, suggesting that low‐dose irradiation had a protective effect in the context of a subsequent traumatic injury. Measures of hippocampal neurogenesis showed that combined injury did not induce any changes greater that those seen after trauma or radiation alone. After trauma, there was a significant decrease in the percentage of neurons expressing the behaviorally induced immediate early gene Arc in both hemispheres, without associated neuronal loss. After combined injury there were no differences relative to sham‐treated mice. Our results suggest that combined injury resulted in decreased alterations of our endpoints compared to trauma alone. Although the underlying mechanisms are not yet known, these results resemble a preconditioning, adaptive, or inducible‐like protective response, where a sublethal or potentially injurious stimulus (i.e., irradiation) induces tolerance to a subsequent and potentially more damaging insult (trauma). © 2010 Wiley Periodicals, Inc.
Hidden Epitopes Emerge in Secondary Influenza Virus-Specific CD8+ T Cell Reponses1

Influenza A virus-specific CD8+ T cell responses in H2b mice are characterized by reproducible hierarchies. Compensation by the DbPB1-F262 epitope is apparent following infection with a variant H3N2 virus engineered to disrupt the prominent DbNP366 and DbPA224 epitopes (a double knockout or DKO). Analysis with a “triple” knockout (TKO) virus, which also compromises DbPB1-F262, did not reveal further compensation to the known residual, minor, and predicted epitopes. However, infection with this deletion mutant apparently switched protective immunity to an alternative Ab-mediated pathway. As expected, TKO virus clearance was significantly delayed in Ab-deficient MHC class II−/− and Ig−/− mice, which were much more susceptible following primary, intranasal infection with the TKO, but not DKO, virus. CD8+ T cell compensation was detected in DKO, but not TKO, infection of Ig-deficient mice, suggestive of cooperation among CD8+ T cell responses. However, after priming with a TKO H1N1 mutant, MHC II−/− mice survived secondary intranasal exposure to the comparable H3N2 TKO virus. Such prime/challenge experiments with the DKO and TKO viruses allowed the emergence of two previously unknown epitopes. The contrast between the absence of compensatory effect following primary exposure and the substantial clonal expansion after secondary challenge suggests that the key factor limiting the visibility of these “hidden” epitopes may be very low naive T cell precursor frequencies. Overall, these findings suggest that vaccine approaches using virus vectors to deliver an Ag may be optimized by disrupting key peptides in the normal CD8+ T cell response associated with common HLA types.
Ubiquitin C-terminal Hydrolase L1 (UCH-L1) Acts as a Novel Potentiator of Cyclin-dependent Kinases to Enhance Cell Proliferation Independently of Its Hydrolase Activity*

Background: Dysregulation of cell proliferation, usually controlled by cyclin-dependent kinases (CDKs), is a hallmark of cancer. Results: Ubiquitin C-terminal hydrolase L1 (UCH-L1) potentiates CDK activities to enhance cell proliferation. Conclusion: Potentiating CDK activities are a newly identified function of UCH-L1 and are involved in cancer growth. Significance: These findings should lead to a better understanding of, and novel therapies against, cancer. Dysregulation of cell proliferation and the cell cycle are associated with various diseases, such as cancer. Cyclin-dependent kinases (CDKs) play central roles in cell proliferation and the cell cycle. Ubiquitin C-terminal hydrolase L1 (UCH-L1) is expressed in a restricted range of tissues, including the brain and numerous types of cancer. However, the molecular functions of UCH-L1 remain elusive. In this study, we found that UCH-L1 physically interacts with CDK1, CDK4, and CDK5, enhancing their kinase activity. Using several mutants of UCH-L1, we showed that this enhancement is dependent upon interaction levels between UCH-L1 and CDKs but is independent of the known ubiquitin-related functions of UCH-L1. Gain- and loss-of-function studies revealed that UCH-L1 enhances proliferation of multiple cell types, including human cancer cells. Inhibition of the interaction between UCH-L1 and cell cycle-associated CDK resulted in the abolishment of UCH-L1-induced enhancement of cell proliferation. RNA interference of UCH-L1 reduced the growth of human xenograft tumors in mice. We concluded that UCH-L1 is a novel regulator of the kinase activities of CDKs. We believe that our findings from this study will significantly contribute to our understanding of cell cycle-associated diseases.
On Multistate Coherent Systems

Recently, several authors have treated multistate systems and given some results. This paper summarizes the several concepts of s-coherency and shows the relationships between them. An interesting theorem for the existence of series and parallel coherent systems is presented. We have proved IFRA and NBU closure theorems under more general situation than has El-Neweihi, et alii and Ross. We discuss our IFR closure theorem.
Intelligent Utilization of Digital Manufacturing Data in Modern Product Emergence Processes

The application of digital manufacturing tools has been continuously increasing in order to deal with product and process complexity in shortened product lifecycles. The resulting comprehensive digital documentation of the product emergence process provides an opportunity to support concurrent engineering processes. By identifying correlations and recurrent patterns with the aid of data mining techniques, tacit planning knowledge can be revealed and reintegrated into new process planning workflows in order to enhance planning efficiency and facilitate decision making. Based on the classification and clustering of both product and process data and the determination of their respective linkages, this paper presents a novel approach for the knowledge-based support of product emergence processes.
The role and contribution of lay community food advisor programmes to public health in Canada

INTRODUCTION: Having members within communities as ‘natural helpers’ may ensure good understanding of local health issues and better delivery of relevant messages. Lay Community Food Advisors (LCFA) may be an effective means to increase coverage of health promotion, empower individuals and communities, help to reduce social exclusion and address the gap in nutritional inequalities. LCFAs may increase awareness of healthy eating and help people translate advice into practice thereby positively influencing patterns of behaviour. However, there is limited evidence supporting these programmes, particularly from a Canadian perspective. Research objectives: To describe the context, drivers and (identify) strategic components of different programme models To determine the role of programmes in addressing healthy eating behaviour (across the socio-economic spectrum) To determine the wider role and impact of programmes in food and public health RESEARCH DESIGN AND METHODOLOGY: A qualitative, case study approach of three key LCFA programmes in Ontario with both exploratory and explanatory aspects. Data collection included key informant interviews using semi-structured questionnaires, overt participant observation and document review. Analysis: Thematic Analysis was utilised as an overarching approach to data analysis, NVivo qualitative tool was utilised for analysis of interviews. The Health Policy Triangle and Multiple Streams Framework were both used as frameworks for policy analysis. FINDINGS: Programme models have been shown to be able to deliver on policy priorities and enable increased capacity at multiple levels: individual, community, organisational and policy. Programmes show examples of being both universally accessible and targeted in their approach, addressing a combination of food literacy and community engagement strategies. Programmes raise tensions around lay helping and issues of access and utilisation of programmes. DISCUSSION: Programmes play a key role in meeting public health policy priorities. Programmes address food literacy set within a social and community context, but may be more challenged to address the underlying determinants of health and raise some tension around whether they can reduce or exacerbate inequalities. However, the absence of programmes can leave a greater gap. Though they remain for the most part downstream with some midstream activity, there are opportunities for more upstream effort. CONCLUSION: Though localised, programmes can address food and public health policy objectives beyond food skills alone. Programmes and their role need to be viewed more broadly, with connections to the wider food system and environment and how they can be both policy levers and policy influencers. As well, programmes should not be seen as the solution to a complex problem that needs more than behavioural intervention, they must complement other strategies to improve public health across the system.
Discussion on the Forward–Backward Configuration Effect of Reader Antennas in a Floor-Installed RFID System

A significant discussion is provided on the configuration of reader antennas (RAs) affecting a robot's positioning performance in a floor-installed RFID infrastructure for two-wheeled robots. RFID systems where IC tags are installed under/on floors have been widely utilized for positioning infrastructures. The RAs should be properly placed on a robot so that such an environment can give full play to its potential capabilities of positioning the robot. This problem calls for guidelines in designing the configuration of RAs. Our previous simulation study extracted an effect involving RA configuration in front of and behind the robot's moving direction (the forward–backward configuration effect), which can be a critical parameter for positioning accuracy, while it lacked a full investigation of the cause of the effect. This paper not only discusses an extraction of the effect, but also presents a detailed discussion on how it occurs through data analysis, a mathematically schematic proof and a control experiment for validation. Our discussions are widely applicable to localization methods using landmarks on/under the floor because our model assumes a simple and general detecting condition.
Pull factors of the shopping malls: an empirical study

This study addresses the following question: “What factors attract customers to the shopping mall? ”, since the commercial attraction of this major retailing format is an undertaken variable. So, the purpose of this paper is to provide an empirical analysis of the main commercial pull factors of the shopping malls in order to attract potential customers. ,For this purpose, the authors provide and empirically test a conceptual model considering the variables convenience, tenant variety and specialisation, internal environment, leisure and communication. Data were analysed through structural equation modelling on a sample of 253 customers. ,The findings suggest that tenant variety and the internal environment of the mall – understood as an adequate tenant mix and a pleasant, attractive environment – are the main determinants of attracting customers. However, the convenience of the shopping mall and the communication activities do not show a significant influence as pull factors. ,The results obtained suggest that marketing managers have numerous tools to influence customers’ intention to visit and patronise shopping malls.
Organizational Learning and ERP Post-implementation Phase: A Situated Learning Perspective

: In this paper, we interpret the sequence of events and issues that led to the ERP failure during the post-implementation phase in a large IT service management company in Australia. For this purpose, we used theoretical frameworks from the domain of organizational and situated learning. We found that several factors created severe complexities and failure at the post-implementation phase of the ERP: 1) staff’s lack of understanding of the SAP-ERP, 2 the interconnection of ERP with business processes, 3) a disconnection between the training that the vendor provided and actual work practices, and 4) management’s and staff’s misunderstanding about the adequacy of the training and staff engagement. Our findings suggest that the theoretical space that situated learning theories provide can enhance our understanding about post-implementation issues.
Ground tracking using a variable structure multiple model particle filter with varying number of particles

This paper studies the problem of ground tracking using a-priori information about the road structure. It presents an efficient variation of the variable structure multiple model particle filter, in which the number of active particles is allowed to vary. The proposed technique decreases the algorithmic computational intensity and can be generalized and used in various multi-model particle filters.
The Effects of Medicare Payment Changes on Nursing Home Staffing

In light of persistent shortcomings in nursing home care quality and evidence that lower nurse staffing levels could be harmful to residents, we examine whether staffing levels are affected by changes in Medicare reimbursement rates. We exploit a 2006 change in Medicare’s methodology for adjusting provider payments for geographic differences in costs, a change that generated plausibly exogenous variation in nursing facility reimbursement rates. Our method compares facilities with higher and lower shares of Medicare resident days, which were differentially exposed to the payment changes we examine. Using panel data on US nursing homes from 2003 through 2009, we find that higher Medicare payments increased nurse staffing hours per resident day. Additional results suggest that changes in Medicare payments did not affect other measures of quality.
Overlapping Status of the Supervisory Functions Implementing Audit Committee and Supervisory Board Simultaneously in China

<p><em>Imposing the mechanism of a single </em><em>A</em><em>udit </em><em>C</em><em>ommittee (AC) on the dual supervisory mechanism of a Board of Directors alongside a </em><em>S</em><em>upervisory </em><em>B</em><em>oard (SB) has raised questions regarding the overlapping status in implementing effective monitoring functions. A functionality checklist of these different governance mechanisms is documented in this article by interviewing five listed companies in China. Both comparisons of regulation and the issues raised in the interview point out the redundancies and gaps in implementing effective supervision through these distinct governance mechanisms. The evidence presented provides useful guidelines of how key operational items of effectiveness and co-ordination can be improved to make supervisory functions in China more effective. </em></p>
Emerging Antiplatelet Therapy for Coronary Artery Disease and Acute Coronary Syndrome

Antiplatelet therapy is used widely with proven benefit for the prevention of further ischemic cardiac complications in patients with known coronary artery disease (CAD) and a history of acute coronary syndrome (ACS). The limitations of conventional antiplatelet therapy with aspirin, clopidogrel, or prasugrel, as well as the fact that rates of recurrent ischemic events still remain high with use of these agents, underscore the need to investigate alternate agents that may further reduce event rates while limiting bleeding risk. The selection of antiplatelet therapy is further influenced by the following: ticagrelor was approved in July 2011 by the United States Food and Drug Administration (FDA),and clopidogrel is slated to become available as a generic productin 2012. We provide an overview of emerging agents for the treatment of CAD and ACS, including the reversible P2Y12 antagonists ticagrelor, cangrelor, and elinogrel, and a new class of oral protease‐activated receptor‐1 (PAR‐1) inhibitors, vorapaxar and atopaxar.The recentlyapproved P2Y12 antagonists prasugrel and ticagrelor demonstrate enhanced ability to prevent adverse cardiac outcomes. However, this comes at a cost of a potential increased risk of bleeding. New adverse effects have also emerged, including dyspnea for all of the reversible P2Y12 antagonists (ticagrelor, cangrelor, and elinogrel) and ventricular pauses for ticagrelor. In addition, the newer P2Y12 antagonists have a faster onset and offset. Two of these agents, cangrelor and elinogrel, are available as intravenous formulations, which may provide additional benefits in patients whoundergo coronary artery bypass graft (CABG) surgery. Trials with the PAR‐1 inhibitors have also shown trends toward reductions in cardiac events, but not without the possibility of increased bleeding. More than ever, as the arsenal of antiplatelet therapy expands, health care providers need to understand the pharmacologic and pharmacodynamic differences between conventional and emerging antiplatelet therapies forpatients with ACS and CAD. Health care providers must also carefully assess patient‐specific factors such as risk of thrombosis, concomitant disease states, age, drug adherence, and aspirin dose, and plan for those patients who will be undergoing CABG when selecting antiplatelet therapy in order to optimally balance bleeding and thrombosis risk.
Strategies to Secure Sustainable Funding for Nonprofit Organizations

Strategies to Secure Sustainable Funding for Nonprofit Organizations by Jasmine Y. Hardy MS, Southern Connecticut State University, 2008 BS, Southern Connecticut State University, 2007 Consulting Capstone Study Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Business Administration Walden University December 2017
Sharp Interface Limit for a Phase Field Model in Structural Optimization

We formulate a general shape and topology optimization problem in structural optimization by using a phase field approach. This problem is considered in view of well-posedness, and we derive optimality conditions with minimal regularity assumptions. We relate the diffuse interface problem to a perimeter penalized sharp interface shape optimization problem in the sense of $\Gamma$-convergence of the reduced objective functional. Additionally, the convergence of the equations of the first variation can be shown. The limit equations can also be derived directly from the problem in the sharp interface setting. Numerical computations demonstrate that the approach can be applied for complex structural optimization problems.
A periodically-switched ODE model for N-bunch beamloading in a storage ring

A new baseband formulation of the coupled cavity/longitudinal-bunch ODEs is derived. Assuming linearity, a model of the form x/spl dot/(t)=A(t)x(t)+B(t)u(t) arises, where A(t) and B(t) are piecewise constant, and periodic with the revolution period T/sub 0/. Such models, known in the control community as (periodic) switched systems, have known (in)stability criteria and control theoretic properties, which can be useful in the analysis and control of multiple bunch beamloading.
Du diagnostic au pronostic de pannes des entraînements électriques

Le diagnostic et le pronostic de pannes des systemes d'entrainement electriques est un enjeu majeur pour assurer la fiabilite et la surete de fonctionnement des outils de production notamment dans les secteurs sensibles (militaire, l'aeronautique, l'aerospatiale et nucleaire, etc.). Le travail de recherche presente dans cette these vise a introduire de nouvelles methodes de diagnostic et de pronostic des defauts d'une machine asynchrone ainsi que des roulements a rouleaux. Ces methodes, orientees donnees, utilisent les donnees de mesure recueillies a partir de capteurs places sur un systeme (machine asynchrone, roulement a rouleaux) afin de construire un vecteur de parametres indicateur de defaut. Les methodes de classification developpees (supervisee, non supervisee) permettent de classer les observations, decrites par le vecteur de parametres, par rapport aux differents modes de fonctionnement, connus ou inconnus du systeme, avec ou sans defauts. Des defauts ont ete crees au rotor et aux roulements de la machine asynchrone, alimentee par le biais d'un onduleur de tension. La classification non supervisee, basee sur l'algorithme des fourmis artificielles, permet d'analyser les observations inconnues et inexplorees afin de mettre en evidence les classes regroupant les observations similaires. Cela permet d'ameliorer la classification et de detecter l'apparition de nouveaux modes de fonctionnement. La classification supervisee, basee sur les modeles de Markov caches, permet d'associer un degre d'appartenance (sous forme d'une probabilite) lors de l'affectation d'une observation a une ou plusieurs classes. Cela permet de definir un indice de fiabilite a l'affectation realisee mais aussi de detecter l'apparition de nouveaux modes de fonctionnement. Ces methodes ne se limitent pas qu'a diagnostiquer les defauts, elles peuvent aussi contribuer au pronostic des defauts. En effet, le pronostic peut etre defini comme une extension du probleme de diagnostic. La prediction d'un defaut est realisee par trois methodes basees sur les modeles de Markov caches pour la detection de l'imminence d'un defaut ainsi que par deux methodes basees sur le systeme neuro-flou (ANFIS pour Adaptive Neuro Fuzzy Inference System et le neurone neuro-flou) pour estimer le temps restant avant son apparition. Des donnees de vieillissement d'un ensemble de roulements a rouleaux ont ete utilisees afin de tester les methodes proposees. Les resultats obtenus montrent l'efficacite de ces methodes pour le diagnostic et le pronostic des defauts dans les entrainements electriques