Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulative assessments of IEEE 802.1 Ethernet AVB and Time-Triggered Ethernet for Advanced Driver Assistance Systems and in-car infotainment

Investigations into the usage of Ethernet in automobiles is in progress in academia, the car industry and companies producing automotive electronic devices. The interest in Ethernet is motivated by the high bandwidth and scalability provided. It is a well experienced technology with support for the Internet Protocol (IP) suite. Ethernet as in-car network is expected to breakthrough in Advanced Driver Assistance Systems (ADAS) involving cameras and in the multimedia domain. Both the IEEE Audio Video Bridging (AVB) standard and Time-Triggered Ethernet (TTE) are promising candidates. This paper presents a simulation study aimed to investigate the behavior of these technologies when supporting ADAS and multimedia traffic on star-based networks under varying workload. The performance under different operating conditions is presented and discussed.
Microsatellite Instability in Sarcoma: Fact or Fiction?

Microsatellite instability (MSI) is a unique molecular abnormality, indicative of a deficient DNA mismatch repair (MMR) system. Described and characterized in the colorectal cancer literature, the MSI-positive phenotype is predictive of disease susceptibility, pathogenesis, and prognosis. The clinical relevance of MSI in colorectal cancer has inspired similar inquisition within the sarcoma literature, although unfortunately, with very heterogeneous results. Evolving detection techniques, ill-defined sarcoma-specific microsatellite loci and small study numbers have hampered succinct conclusions. The literature does suggest that MSI in sarcoma is observed at a frequency similar to that of sporadic colorectal cancers, although there is little evidence to suggest that MSI-positive tumors share distinct biological attributes. Emerging evidence in Ewing sarcoma has demonstrated an intriguing mechanistic role of microsatellite DNA in the activation of key EWS/FLI-target genes. These findings provide an alternative perspective to the biological implications of microsatellite instability in sarcoma and warrant further investigation using sophisticated detection techniques, sensitive microsatellite loci, and appropriately powered study designs.
Motivational Orientations of Students With Disabilities in Western North Carolina Community Colleges

This dissertation examines the motivational orientations of students with disabilities in five North Carolina community colleges. The paper considers the following issues: reasons for community college attendance among disabled students; differences in demographics and motivations among students with and without disabilities; and differences in these motivations by type of disability. A random sample of students, both with and without disabilities, was selected. The Educational Participation Scale (EPS) instrument was mailed to students, and a total of 198 responses were collected. The results of the study indicated that among students with disabilities, a higher proportion of them were female, older, and less likely to have children and work full-time, as compared with their non-disabled peers. In addition to demographic discrepancies between the two groups, students with disabilities also scored higher on four of the EPS factors: social contact, educational preparation, social stimulation, and cognitive interest, indicating that these students enrolled in community colleges for social and academic reasons. The opportunity to meet new people and explore intellectual curiosities encourages them to participate. (Contains 52 references and two appendices, including the EPS instrument.) (JCC) Reproductions supplied by EDRS are the best that can be made from the original document. 1 MOTIVATIONAL ORIENTATIONS OF STUDENTS WITH DISABILITIES IN WESTERN NORTH CAROLINA COMMUNITY COLLEGES A Dissertation Presented to The Faculty of Educational Leadership and Policy Analysis East Tennessee State University In Partial Fulfillment of the Requirements for the Degree Doctor of Education by John H. Humphrey, Jr. May 1999 U.S. DEPARTMENT OF EDUCATION Office of Educational Research end Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) Ifr This document has been reproduced as received from the person or organization originating it. CI Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. 04 PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC)
Sparsity Based Ground Moving Target Imaging via Multi-Channel SAR

State-of-the-art Ground Moving Target Indicator (GMTI) schemes include the Displaced Phase Center Antenna (DPCA) and Along Track Interferometry (ATI) which are commonly used image-based dual- channel techniques for moving target detection. In the present paper, we provide a different perspective for solving GMTI tasks by generalising the ground moving targets imaging as a parameter estimation and an optimisation problem. A sparsity based ground target imaging approach is described to improve the image quality for moving targets and estimate their states. By exploiting the fact that moving targets are highly sparse in the observed scene and feasible velocity space, the proposed method constructs a velocity map for the illuminated region, and combines this map with a sparsity based optimisation algorithm to realise the image formation. The performance of the presented method is demonstrated through GOTCHA airborne SAR data set.
Cardiac Dysregulation and Myocardial Injury in a 6-Hydroxydopamine-Induced Rat Model of Sympathetic Denervation

Background Cardiac sympathetic denervation is found in various cardiac pathologies; however, its relationship with myocardial injury has not been thoroughly investigated. Methods Twenty-four rats were assigned to the normal control group (NC), sympathectomy control group (SC), and a sympathectomy plus mecobalamin group (SM). Sympathectomy was induced by injection of 6-OHDA, after which, the destruction and distribution of sympathetic and vagal nerve in the left ventricle (LV) myocardial tissue were determined by immunofluorescence and ELISA. Heart rate variability (HRV), ECG and echocardiography, and assays for myocardial enzymes in serum before and after sympathectomy were examined. Morphologic changes in the LV by HE staining and transmission electron microscope were used to estimate levels of myocardial injury and concentrations of inflammatory cytokines were used to reflect the inflammatory reaction. Results Injection of 6-OHDA decreased NE (933.1 ± 179 ng/L for SC vs. 3418.1± 443.6 ng/L for NC, P < 0.01) and increased NGF (479.4± 56.5 ng/mL for SC vs. 315.85 ± 28.6 ng/mL for NC, P < 0.01) concentrations. TH expression was reduced, while ChAT expression showed no change. Sympathectomy caused decreased HRV and abnormal ECG and echocardiography results, and histopathologic examinations showed myocardial injury and increased collagen deposition as well as inflammatory cell infiltration in the cardiac tissue of rats in the SC and SM groups. However, all pathologic changes in the SM group were less severe compared to those in the SC group. Conclusions Chemical sympathectomy with administration of 6-OHDA caused dysregulation of the cardiac autonomic nervous system and myocardial injuries. Mecobalamin alleviated inflammatory and myocardial damage by protecting myocardial sympathetic nerves.
Action Research in Doctoral Coursework: Perceptions of Independent Research Experiences

Action research focuses on creating meaningful and authentic change for those involved, whether in a classroom or community. This action research study examined the perceptions and potential benefits of action research coursework within a doctoral program. Participants were a cohort of doctoral students (n=7) that participated in a graduate level action research course. Students in this study experienced shifts in their identities as researchers, knowledge of the methodology, and their perception of the function and value of action research. The authors argue that action research is a viable course option in doctoral programs and the research skills supported through the course and the completion of an independent research project expand research knowledge and prepare doctoral students for dissertation research across a variety of methodologies.
Scalable Architecture for on-Chip Neural Network Training using Swarm Intelligence

This paper presents a novel architecture for on-chip neural network training using particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm with a growing field of applications which has been recently used to train neural networks. The architecture exploits PSO algorithm to evolve network weights as well as a method called layer partitioning to implement neural networks. In the proposed method, a neural network is partitioned into groups of neurons and the groups are sequentially mapped to available functional units. Thus, the architecture is reconfigurable for training and implementing different multilayer feedforward neural networks without the need for modifying the architecture. The implementation is intended for real-time applications regarding hardware cost and speed. The results show that the proposed system provides a trade-off between resource requirements and speed.
Institutional Investors, Analyst Following, and the January Anomaly

Studies have documented that average stock returns for small, low-stock-price firms are higher in January than for the rest of the year. Two explanations have received a great deal of attention: the tax-loss selling hypothesis and the gamesmanship hypothesis. This paper documents that seasonality in returns is not a phenomenon observed only for small firms' stock or those with low prices. Strong seasonality in excess returns is reported for a sample of widely followed firms. Sample firms have unusually low excess returns in January, and returns adjust upward over the remainder of the year. These results are consistent with the gamesmanship hypothesis but not the tax-loss-selling hypothesis. As financial institutions rebalance their portfolios in January to sell the stock of highly visible and low-risk firms, there is downward price pressure in January. In addition, the results suggest that firm visibility explains why seasonality in returns is related to firm size and stock price. Once we control for visibility, market value and uncertainty do not appear to be important determinants of seasonality.
MMSE-DFE Based MIMO Relay System with Correlated Fading Channel

We consider a practical dual-hop nonregenerative multiple-input multiple-output (MIMO) relay system, where the relay node only knows the correlation matrix of the relay-destination channel. A nonlinear minimal mean-squared error (MMSE)-based decision feedback equalizer (DFE) is used at the destination node to retrieve the source signals. We derive the structure of statistically optimal source and relay precoding matrices to minimize a class of objective functions which are multiplicatively Schur-convex with respect to the diagonal elements of the MSE matrix. Simulation results demonstrate that the proposed algorithm has a very close performance compared to MIMO relay system with full channel knowledge at the relay node, and thus is very useful for practical relay systems.
Swim or Sink Together

This article investigates collective team identification and team member alignment (i.e., the existence of short- and long-term team goals and team-based reward structures) as moderators of the association between task and relationship conflicts. Being indicators of cooperative goal interdependence in teams, both moderators are hypothesized to mitigate the positive association between the two conflict types. Findings from 88 development teams confirm the moderating effect for collective team identification, but not for team member alignment. Moreover, the moderating role of collective team identification is found to be dependent on the level of task conflict: It is more effective in decoupling task and relationship conflicts at medium as compared with high or low levels of task conflict.
Predicting numbers of hauled‐out harbour seals: a mathematical model

Summary 1 It was once assumed that commercially important fish make up significant portions of seal diets. As a consequence, prior to the 1970s many seal populations were dramatically reduced by rampant slaughtering. Today, seals and other marine mammals are valued components of marine ecosystems and their numbers are carefully managed. To facilitate management, government statutes mandate the systematic monitoring of seal populations. Population estimates are based on counts of hauled-out seals obtained by aerial survey and radio and satellite telemetry; hence, considerable effort has been devoted to finding optimal times for such counts. We have developed a predictive mathematical model of seal haul-out to assist resource managers in the selection of optimal census times. 2 Haul-out depends on a number of environmental variables. Some of these variables, such as wind speed, can be obtained only as historical data or short-range predictions. Others, such as tide height, are deterministic and can be obtained as long-range predictions. 3 We used deterministic environmental variables to develop mathematical models that describe haul-out dynamics of harbour seals Phoca vitulina during the pupping season at a site in Washington, USA. A list of alternative hypotheses for environmental cues gave rise to a suite of competing models. We used information–theoretic model selection techniques to choose the best model. The selected model was a function of tide height and current direction, and explained 40% of the variability in hourly census data. 4 An assumption that the system recovers rapidly after disturbance introduced two time scales. This allowed the differential equation model to be reduced to an algebraic equation. 5 Synthesis and applications. This study demonstrates that resource managers can use a simple algebraic equation based on deterministic environmental variables to predict times at which to census maximal haul-out in harbour seals. At the Washington site, maximal daily haul-outs during pupping season are predicted to occur during receding tides, approximately midway between high and low tides. The largest maximal daily haul-outs during the pupping season are predicted to occur in the last week of July. The environmental factors correlated with haul-out are, however, site-specific; therefore the model developed for the Washington site will not necessarily hold for other haul-out areas. Managers should carry out the model selection procedure separately for each monitored haul-out site. The general methodology employed in this study can be used to make long-range predictions of diurnal movements for a variety of marine birds and mammals.
Rhetoric and cognition: Pragmatic constraints on argument processing

This chapter defends a cognitive-pragmatic take on rhetorical effectiveness by hypothesising that information-selection mechanisms at play in the interpretation of verbal stimuli positively influence the outcome of subsequent argumentative evaluation. Moreover, this chapter also shows that relevance theory (Sperber and Wilson 1995) is ideally well equipped to develop this assumption. Indeed, this chapter argues that the inclusion of a cognitive pragmatic component in a theory of argumentation can boost the explanatory power of existing accounts, which typically refrain from adopting the sort of cognitive insights offered by relevance theorists (cf. van Eemeren and Grootendorst 2004:? 74). Accordingly, an example from political discourse is discussed in this framework to illustrate its explanatory advantages.
Effects of Age on the Disruption of Cognitive Performance by Exposure to Space Radiation

Exposure to low doses of heavy particles and protons, which will be encountered during long-term exploratory class missions to other planets, can cause deficits in cognitive performance. These deficits are similar to those observed in aged animals. The long-term effects of such exposures and their relationship to the short-term effects and to aging remain to be established. Two-month old rats were exposed to a variety of heavy particles and protons. Recognition memory was tested at two time points following irradiation. The results showed that exposure to doses of radiation that did not disrupt cognitive performance in the younger animals, disrupted performance when the subjects were re-tested at an older age. These results indicate that there is an interaction between the age of the organism and the effects of exposure to space radiation on cognitive performance, such that exposure to doses of heavy particles or protons that may not produce an initial effect on cognitive performance may produce an effect as the organism ages. Because of the interaction between exposure to the types of radiation encountered in space and age, it is possible that participating in exploratory class missions may have consequences for the quality of life after the conclusion of the mission.
Brisbane Adolescent Twin Study: Outline of study methods and research projects

An ongoing program at the Queensland Institute of Medical Research (QIMR) uses a resource of adolescent twins (2720 individuals) and their singleton siblings (1179), constituting 1324 families. A large number (> 500 families) have participated in two main studies (the mole and the cognition studies) with the aim of identifying genetic polymorphisms associated with moliness and cognitive function respectively, as well as several other projects that run in parallel with these studies. Most recently 950 families were invited to participate in a mail and phone study assessing reading ability, taste and smell sensitivity, and health and wellbeing. Although the program measures a broad range of phenotypes, the common focus of all studies is to reveal the genetic architecture underlying the trait, and thereby facilitate the search for quantitative trait loci. The present paper provides an overview of the studies, and highlights the significance of the resource, as well as some of the unique aspects of twin research.
Apache Tez: A Unifying Framework for Modeling and Building Data Processing Applications

The broad success of Hadoop has led to a fast-evolving and diverse ecosystem of application engines that are building upon the YARN resource management layer. The open-source implementation of MapReduce is being slowly replaced by a collection of engines dedicated to specific verticals. This has led to growing fragmentation and repeated efforts with each new vertical engine re-implementing fundamental features (e.g. fault-tolerance, security, stragglers mitigation, etc.) from scratch. In this paper, we introduce Apache Tez, an open-source framework designed to build data-flow driven processing runtimes. Tez provides a scaffolding and library components that can be used to quickly build scalable and efficient data-flow centric engines. Central to our design is fostering component re-use, without hindering customizability of the performance-critical data plane. This is in fact the key differentiator with respect to the previous generation of systems (e.g. Dryad, MapReduce) and even emerging ones (e.g. Spark), that provided and mandated a fixed data plane implementation. Furthermore, Tez provides native support to build runtime optimizations, such as dynamic partition pruning for Hive. Tez is deployed at Yahoo! , Microsoft Azure, LinkedIn and numerous Hortonworks customer sites, and a growing number of engines are being integrated with it. This confirms our intuition that most of the popular vertical engines can leverage a core set of building blocks. We complement qualitative accounts of real-world adoption with quantitative experimental evidence that Tez-based implementations of Hive, Pig, Spark, and Cascading on YARN outperform their original YARN implementation on popular benchmarks (TPC-DS, TPC-H) and production workloads.
Multi-valued dependencies in the presence of lists

Multi-valued depdendencies (MVDs) are an important class of relational constraints. We axiomatise MVDs in data models that support nested list types. In order to capture different data models at a time, an abstract approach based on nested attributes is taken. The set of subattributes of some fixed nested attribute carries the structure of a co-Heyting algebra. This enables us to generalise significant features of MVDs from the relational data model to the presence of lists. It is shown that an MVD is satisfied by some instance exactly when this instance can be decomposed without loss of information. The full power of the algebraic framework allows to provide a sound and complete set of inference rules for the finite implication of MVDs in the context of lists. The presence of the list operator calls for a new inference rule which is not required in the relational data model. Further differences become apparant when the minimality of the inference rules is investigated. The extension of the relational theory of MVDs to the presence of lists allows to specify more real-world constraints and increases therefore the number of application domains.
TESTING EFFECT , CRAMMING , AND RETRIEVABILITY 1 Running head : Testing Effect , Cramming , and Retrievability The testing effect , cramming , and retrievability

Even without feedback, test practice enhances delayed performance compared to study practice. However, students often cram by studying just before an exam rather than testing themselves. Cramming appears irrational, but this may depend on whether items are initially retrievable. In this study, an initial test determined item retrievability. Retrievable or non-retrievable items were subsequently presented for repeated study or test. Collapsing across item retrievability, we obtained a crossover interaction of retention interval and practice type. For retrievable items, however, the crossover interaction was quantitatively different with a smaller study benefit for an immediate test and a larger testing benefit after delay. For non-retrievable items, there was a large study benefit only for an immediate test, no testing benefit at all, and even study practice followed by immediate testing failed to produce a testing benefit after delay. These results indicate that for initially nonretrievable material, cramming may be a rational strategy.
The reporting experiences and support needs of victims of online fraud

This paper presents the results of in-depth interviews conducted with a sample of 80 individuals from across Australia who lodged complaints of online fraud involving losses of $10,000 or more over the preceding four years. Their stories illustrate the financial impact of fraud and the emotional, psychological, interpersonal and physical impacts of their victimisation. They also document the barriers they faced in reporting these crimes. The paper concludes by identifying the support needs of victims of online fraud.
The Cyclical Nature of North-South FDI Flows

In this paper, we examine how the business and interest rate cycles in developed countries affect FDI to developing countries. After aggregating flows into three big source areas (the U.S., Europe and Japan), we find FDI flows to be countercyclical with respect to both output and interest rate cycles in the first two, whereas in Japan they display either no cyclical behavior or mild procyclical behavior. This finding is consistent with the fact that FDI outflows and local investment tend to move in opposite directions during the cycles in the U.S. and Europe, reflecting investors' arbitrage among different investment opportunities. In sum, and contrary to what is usually claimed, we conclude that recessions in industrial countries are likely to increase FDI flows, particularly to those countries with close ties with the U.S. and Europe.