Miracle-dz/UniFAR-FTUs huggingface dataset:
CPS: Synergy: Resilient Wireless Sensor-Actuator Networks 1. Introduction: Wireless sensor-actuator networks (WSAN) are cyber-physical systems (CPS) consisting of numerous sensing and actuation devices sharing information over a wireless com-

1. Introduction: Wireless sensor-actuator networks (WSAN) are cyber-physical systems (CPS) consisting of numerous sensing and actuation devices sharing information over a wireless communication network. This project studies resilient WSANs where " resilience " means that the system maintains an awareness of surrounding threats while taking actions assuring a return to operational normalcy as quickly as possible. Building resilient WSANs is challenging due to the time-varying nature of these networks. Temporal variations in a network's quality-of-service introduce an unpredictability that appears to be inconsistent with resilience. Appearances, however, can be deceiving. Wireless networking is evolving rapidly with technologies such as IEEE 802.11n and 3GPP LTE pushing bit/rates from 10 5 bps to 10 8 bps. Moreover, recent results determining the minimum bit-rates for control stability suggest that the actual bandwidth needed for resilience is much less than previously believed. We therefore have two trends, higher achievable bit-rates from wireless technologies and lower required bit-rates for control. Exploiting these two trends will enhance our ability to achieve resilience in large-scale complex WSANs. We propose exploting these two trends through a three part effort. The first part involves the development of a hierarchical control architecture based on a sporadic " event-triggered " message passing framework in which sensors and actuators only exchange information when needed. This approach allows us to greatly reduce the peak and average bit rates required for stabilization and resilience. The second part of this project develops wireless networking technologies to support the sporadic bursty traffic generated by our controllers. This work will leverage an emerging paradigm for networking wireless devices known as machine-to-machine (M2M) communication. The third part of this project evaluates the resilience achievable with our approach using a robotic testbed consisting of unmanned ground vehicles (UGV) and air vehicles (UAV) that communicate using a USB dongle employing M2M wireless networking technologies. CPS Relevance: This effort addresses the problem of resilience in CPS. The physical component of our CPS is a multi-robot swarm and the cyber component is the M2M wireless network. The effort addresses the CPS Research Target area Science of CPS through its development of fundamental information theoretic limits and practical approaches for resilient control. It addresses the CPS Research Target area Engineering of CPS with its development of M2M technologies and layered event-triggered architectures for resilient control. The project's synergy comes from its combination of scalable methods in three distinct areas: control, communication, and computer …
False Memory Susceptibility in OEF/OIF Veterans With and Without PTSD

False memory susceptibility was measured in 80 Iraq/Afghanistan veterans with (n = 32) and without posttraumatic stress disorder (PTSD; n = 48) using a modified Deese-Roediger-McDermott (DRM) word list task that included trauma-related critical (nonpresented) lures. PTSD was classified using medical record diagnoses. Participants completed a variety of self-report assessments, including the Beck Depression Inventory, the Anxiety and Stress subscales of the Depression Anxiety Stress Scales, the Dissociative Experiences Scale, and the Tellegen Absorption Scale. Veterans with PTSD displayed global memory impairments on all types of items, except for trauma-related critical lures; on these critical lures, they exhibited false memory levels equal to those seen in veterans without PTSD. The magnitude of most effects were reduced, but not entirely eliminated, when controlling for depression, suggesting that neither PTSD nor co-occurring depression entirely explain these findings. The potential effects of other mental health conditions, such as alcohol dependence, could not be ruled out. Our results support explanations of PTSD that emphasize differential processing of trauma-related information.
Processing-Induced Inhomogeneity of Yield Stress in Polycarbonate Product and Its Influence on the Impact Behavior

In this study, an integrated methodology for impact analysis of polycarbonate (PC) product is proposed which incorporates the processing-induced inhomogeneity of yield stress. A previously developed model is extended to predict the inhomogeneous yield stress distribution along the specimen by using the thermal history experienced during injection molding. A strain rate-dependent elastic-plastic model combining the processing-induced yield stress is applied to model the mechanical behavior of PC. Finite element simulation for notched Izod impact test is then conducted to analyze the impact behaviors of PC specimens with different thermal histories. Numerical results of the fracture energies are compared with experimental measurements.
TGFβ1 Controls PPARγ Expression, Transcriptional Potential, and Activity, in Part, through Smad3 Signaling in Murine Lung Fibroblasts

Transforming growth factor β1 (TGFβ1) promotes fibrosis by, among other mechanisms, activating quiescent fibroblasts into myofibroblasts and increasing the expression of extracellular matrices. Recent work suggests that peroxisome proliferator-activated receptor γ (PPARγ) is a negative regulator of TGFβ1-induced fibrotic events. We, however, hypothesized that antifibrotic pathways mediated by PPARγ are influenced by TGFβ1, causing an imbalance towards fibrogenesis. Consistent with this, primary murine primary lung fibroblasts responded to TGFβ1 with a sustained downregulation of PPARγ transcripts. This effect was dampened in lung fibroblasts deficient in Smad3, a transcription factor that mediates many of the effects of TGFβ1. Paradoxically, TGFβ1 stimulated the activation of the PPARγ gene promoter and induced the phosphorylation of PPARγ in primary lung fibroblasts. The ability of TGFβ1 to modulate the transcriptional activity of PPARγ was then tested in NIH/3T3 fibroblasts containing a PPARγ-responsive luciferase reporter. In these cells, stimulation of TGFβ1 signals with a constitutively active TGFβ1 receptor transgene blunted PPARγ-dependent reporter expression induced by troglitazone, a PPARγ activator. Overexpression of PPARγ prevented TGFβ1 repression of troglitazone-induced PPARγ-dependent gene transcription, whereas coexpression of PPARγ and Smad3 transgenes recapitulated the TGFβ1 effects. We conclude that modulation of PPARγ is controlled by TGFβ1, in part through Smad3 signals, involving regulation of PPARγ expression and transcriptional potential.
Entrepreneurship and corruption : integrating institutions, rationality and social norms; paper presented at the symposium: Re/Constructing corruption: Towards an interdisciplinary framework, May 2003, University of East Anglia, Norwich

This article develops an interdisciplinary theoretical framework for the analysis of corruption, in which rationality, formal institutions and social norms play a role. It employs a well-known Theory of action in empirical social sciences - the "Theory of Planned Behaviour" by I. Ajzen (1991). Including modificatiopns by the "New Institutional Economics" by North (1991), as well as the approaches from Social Psychology (Bentler and Speckart 1979) and Sociology (Coleman 1991), we have generated a microfounded and empirically tesable "theory of corruption and its prediciton". This complex theory is based on the integration of findings in corruption research in Economics, Law, Sociology and Culture.
Dietary Polyphenols and Obesity

The prevalence of overweight and obesity and their associated metabolic disorders are considered a major threat to the public’s health. While several diet and exercise programs are available for weight loss and prevention of weight regain, progress is often slow and disappointing. Recently, natural bioactive phytochemicals present in foods have been discovered for their potential health benefit effects on the prevention of chronic disorders such as cancer, cardiovascular disease, inflammatory and metabolic diseases including obesity. Polyphenols are a class of naturally-occurring phytochemicals, of which some such as catechins, anthocynines, resveratrol and curcumin have been shown to modulate physiological and molecular pathways that are involved in energy metabolism, adiposity, and obesity. The potential in vivo, beneficial effects of these polyphenols on adiposity and obesity as complementary agents in the up-regulation of energy expenditure have emerged by investigating these compounds in cell cultures, animal models of obesity and in some human clinical and epidemiological studies. In this brief review, the efficacy of the above-named polyphenols and their potential efficacy to modulate obesity and some associated disorders are discussed.
International Asset Allocations and Capital Flows: The Benchmark Effect

This paper studies channels through which well-known benchmark indexes impact asset allocations and capital flows across countries. The study uses unique monthly micro-level data of benchmark compositions and mutual fund investments during 1996-2012. Benchmarks have important effects on equity and bond mutual fund portfolios across funds with different degrees of activism. Benchmarks explain, on average, around 70 percent of country allocations and have significant impact even on active funds. Benchmark effects are important after controlling for industry, macroeconomic, and country-specific, time-varying effects. Reverse causality does not drive the results. Exogenous, pre-announced changes in benchmarks result in movements in asset allocations mostly when these changes are implemented (not when announced). By impacting country allocations, benchmarks affect capital flows across countries through direct and indirect channels, including contagion. They explain apparently counterintuitive movements in capital flows, generating outflows from countries when upgraded and with large market capitalization and better relative performance.
Cost-Effectiveness of Single- Versus Generic Multiple-Tablet Regimens for Treatment of HIV-1 Infection in the United States

Background The possibility of incorporating generics into combination antiretroviral therapy and breaking apart once-daily single-tablet regimens (STRs), may result in less efficacious medications and/or more complex regimens with the expectation of marked monetary savings. A modeling approach that assesses the merits of such policies in terms of lifelong costs and health outcomes using adherence and effectiveness data from real-world U.S. settings. Methods A comprehensive computer-based microsimulation model was developed to assess the lifetime health (life expectancy and quality adjusted life-years—QALYs) and economic outcomes in HIV-1 infected patients initiating STRs compared with multiple-table regimens including generic medications where possible (gMTRs). The STRs considered included tenofovir disoproxil fumarate/emtricitabine and efavirenz or rilpivirine or elvitegravir/cobicistat. gMTRs substitutions included each counterpart to STRs, including generic lamivudine for emtricitabine and generic versus branded efavirenz. Results Life expectancy is estimated to be 1.301 years higher (discounted 0.619 QALY gain) in HIV-1 patients initiating a single-tablet regimen in comparison to a generic-based multiple-table regimen. STRs were associated with an average increment of $26,547.43 per patient in medication and $1,824.09 in other medical costs due to longer survival which were partially offset by higher inpatients costs ($12,035.61) with gMTRs treatment. Overall, STRs presented incremental lifetime costs of $16,335.91 compared with gMTRs, resulting in an incremental cost-effectiveness ratio of $26,383.82 per QALY gained. Conclusions STRs continue to represent good value for money under contemporary cost-effectiveness thresholds despite substantial price reductions of generic medications in the U. S.
Community Structures in Classical Network Models

Abstract Communities (or clusters) are ubiquitous in real-world networks. Researchers from different fields have proposed many definitions of communities, which are usually thought of as a subset of nodes whose vertices are well connected with other vertices in the set and have relatively fewer connections with vertices outside the set. In contrast to traditional research that focuses mainly on detecting and/or testing such clusters, we propose a new definition of community and a novel way to study community structure, with which we are able to investigate mathematical network models to test whether they exhibit the small-community phenomenon, i.e., whether every vertex in the network belongs to some small community. We examine various models and establish both positive and negative results: we show that in some models, the small-community phenomenon exists, while in some other models, it does not.
Tripzoom: an app to improve your mobility behavior

Mobile devices can help to solve urban traffic problems by improving personal mobility and making transport, traveling, and commuting for individual users more flexible, sustainable, and rewarding. For that purpose, the tripzoom application combines mobility data and patterns from mobile sensing, a dynamic incentive system, and community feedback from social networks. This paper gives an overview of tripzoom, its features, and technical realization, and explains how users can take advantage of it to monitor, manage, and improve their mobility behavior.
Mechanisms Growth by Both Angiogenesis-dependent and-independent Factor Receptor Activity in Glioma Cells Impedes Tumor Inhibition of Fibroblast Growth Factor / Fibroblast Growth

We undertook a series of systematic studies to address the role of fibroblast growth factor/fibroblast growth factor receptor (FGF/FGFR) activity in tumor growth and angiogenesis. We expressed dominant-negative FGFR2 (FGFR2-DN) or FGFR1 (FGFR1-DN) in glioma C6 cells by using constitutive or tetracycline-regulated expression systems. Anchorage-dependent or independent growth was inhibited in FGFR-DNexpressing cells. Tumor development after xenografting FGFR-DNexpressing cells in immunodeficient mice or after transplantation in rat brain was strongly inhibited. Quantification of microvessels demonstrated a significant decrease in vessel density in tumors derived from FGFR-DNexpressing cells. Furthermore, in a rabbit corneal assay, the angiogenic response after implantation of FGFR-DN-expressing cells was decreased. In tumors expressing FGFR-DN, vascular endothelial growth factor expression was strongly inhibited as compared with control tumor. These results indicate that inhibition of FGF activity may constitute a dominant therapeutic strategy in the treatment of FGF-producing cerebral malignancies and may disrupt both angiogenesis-dependent and -independent signals required for glioma growth and invasion.
Electrical motor for liquid gas pump

This paper presents the design and investigation of performance characteristics of 3-phase high voltage squirrel-cage submerged motor. The motor is intended to work at cryogenic temperature -161degC in liquefied natural gas (LNG). The motor is designed to drive a cargo pump for unloading LNG carrier. The time-stepping finite element method of transients analysis in induction motor working in cryogenic temperature has been presented. The non-linearity of the magnetic circuit, the movement of the rotor and skewed slots have been taken into account. This method is used to determine the steady state and dynamic performance of the high voltage squirrel-cage submerged motor. The results of simulations and measurements of constructed model motor have been presented
Evaluation of Nutritional and Antioxidant Status of Lepidium latifolium Linn.: A Novel Phytofood from Ladakh

Lepidium latifolium Linn. (perennial pepperweed) is one of the preferred phytofoods among cold arid region of Ladakh, India and its leaves contribute significantly to people's diet. This study was conducted to determine its nutritive value and antioxidant activity. Plant samples from three different locations were selected in the present study. Results showed that this plant is an excellent source of glucosinolates, notably sinigrin that is present in very high amount (∼70–90%). Its value ranged from 149 to 199 µg per g fresh weight. Fatty acid composition analysis showed that its leaves were abundant in unsaturated fatty acids, specifically linolenic acid (18∶3) whose percentage is about 50%. Higher glucose and crude protein along with higher nitrogen to sulfur ratio, supplements the nutritive value of this plant. Based on total phenol, flavanoids, free radical scavenging activity and DNA protective activity showed that this ecotype of perennial pepperweed contains high antioxidant properties. The percentage inhibition for O2 − scavenging activity ranged from 41.3% to 83.9%. Higher content of phenols (26.89 to 50.51 mg gallic acid equivalents per g dry weight) and flavanoids (38.66 to 76.00 mg quercetin equivalents per g dry weight) in leaves could be responsible for the free radical scavenging activity of this plant. Depending upon the location of the plants, variations were observed in different activities. Based on the systematic evaluation in this study, preparations of Lepidium latifolium from Ladakh can be promoted as substitute to dietary requirements.
A novel iron loss reduction technique for distribution transformers based on a combined genetic algorithm - neural network approach

The paper presents an effective method to reduce the iron losses of wound core distribution transformers based on a combined neural network/genetic algorithm approach. The originality of the work presented is that it tackles the iron loss reduction problem during the transformer production phase, while previous works concentrated on the design phase. More specifically, neural networks effectively use measurements taken at the first stages of core construction in order to predict the iron losses of the assembled transformers, while genetic algorithms are used to improve the grouping process of the individual cores by reducing iron losses of assembled transformers. The proposed method has been tested on a transformer manufacturing industry. The results demonstrate the feasibility and practicality of this approach. Significant reduction of transformer iron losses is observed in comparison to the current practice leading to important economic savings for the transformer manufacturer.
The Effect of Consumption and Production Structure on Growth and Distribution: A Micro to Macro Model

The paper offers a theoretical analysis of long-run economic growth as an outcome of structural changes. We model the microeconomic behaviour of firms in the final good and capital sectors, and the evolution of classes of workers/consumers. We carefully craft economic behaviour onto empirical evidence, and solve the model numerically. The results illustrate the microeconomic properties of the simulated growth patterns. In particular, we observe and explain the interactions between technological change, firm organization, income distribution, consumption behaviour and growth. We confirm the relevance and interdependence of these structural changes, and underline their microeconomic sources.
Asian Journal on Energy and Environment an Assessment of the Ashrae Clear Sky Model for Irradiance Prediction in Thailand Nuntiya

In Thailand, the ASHRAE clear sky model is commonly used as a basic tool for solar heat load calculation of air conditioning systems and building designs, in the engineering and the architectural communities. Unfortunately, this model was developed for the atmospheric condition in USA, which was quite different from the condition in Thailand. Joeijoo and Sorapipatana assessed the accuracy of the ASHRAE model in the northern part of Thailand. They found that the model considerable over estimated for global and direct solar radiation, and under estimated for diffuse solar radiation. In this study, an attempt was made in order to improve the accuracy of the model by revising all parameters of the ASHRAE model under the atmospheric condition of Thailand. The five-year data of the solar radiation recorded by Silpakorn University's network in Chiang Mai, Ubon Ratchatani, Nakorn Pathom and Songkhla, , during year 1996-2000, were sorted out for clear sky days. The data of the sorted clear sky days were then used to revise the parameters of the ASHRAE model. Later, two-year data of the clear sky condition, during year 2001-2002, observed by the same network, were used to assess the accuracy and the suitability of the revised ASHRAE model. The comparisons between the revised and the unrevised one were also done. From the study, it found that the predicted solar radiation obtained from the revised ASHRAE model was much more accurate than the unrevised one. The root mean square error (RMSE) of the revised model for global, direct and diffuse radiation, at those stations in the upper part of Thailand (excluded Songkhla) were 5.982%, 13.592% and 28.430%, respectively, and the corresponding mean bias error (MBE) found to be-0.136%,-2.816% and 9.222%, respectively. As compared to the RMSE of the unrevised ASHRAE model for global, direct and diffuse solar radiation were 15.382%, 37.485% and 64.399%, respectively, and the corresponding mean bias error (MBE) were 13.808%, 34.092% and-57.032% , respectively. 524 The root mean square error (RMSE) of the revised model for global, direct and diffuse radiation, at the station in the lower part of Thailand (Songkhla) were 6.096%, 12.101% and 35.792%, respectively, and the corresponding mean bias error (MBE) found to be-1.021%,-5.231% and 18.003%, respectively. As compared to the RMSE of the unrevised ASHRAE model for global, direct and diffuse solar radiation were 6. Although the RMSE of the prediction of the revised model for the diffuse radiation were still …
(yip-09) Secure Heterogenous Multicore Platform through Diversity and Redundancy 5e. Task Number 5f. Work Unit Number 7. Performing Organization Name(s) and Address(es) and Address(es) 8. Performing Organization Report Number Distribution A: Approved for Public Release Standard Form 298 (rev. 8-98) 

Form Approved OMB No. 0704-0188 Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 222024302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. 1. REPORT DATE (DD-MM-YYYY) 31-03-2012 2. REPORT TYPE Final Report 3. DATES COVERED (From To) Mar 2009 – Dec 2011 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER