Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring Application Model Instances in System-Level Design

In the PROGRESS Artemis project (1) an architecture work- bench is being developed. A case study (2) has been done in order to eval- uate a set of concepts and techniques encapsulated in the workbench. In this case study we mapped a modified M-JPEG application onto a shared memory multi-processor architecture. We did a design space exploration for alternative architecture instances and mappings. One of the conclusions we draw from this case study is that in the ex- ploration process we need techniques to refine a given application and to generate alternative model instances of the application. Such techniques are necessary for efficient system-level design space exploration. In this pa- per we present algorithmic transformation techniques for deriving a set of application model instances exploiting the task-level parallelism hidden in applications. We include these techniques in a tool called Compaan (3) and give some illustrative examples. I. INTRODUCTION In the system-level design of embedded signal-processing systems, a system designer defines the target system as the pair Application(s) - Architecture template. An example of such pair is shown in the left part of Figure 1. The application specifies the functional behavior of the system. The architecture tem- plate specifies the resources of the system onto which the func- tional behavior is to be mapped. In this stage, a designer has to make some design decisions, for example, how to partition the application into tasks, how to map the tasks onto the archi- tecture template, what kind of communication structure to be used in the architecture template, etc. In order to evaluate dif- ferent design decisions, a system designer uses a model of the target system and does performance analysis for alternative ap- plication instances, architecture instances and mappings thereby exploring the design space of the Application- Architecture tem- plate pair. A general scheme for a design space exploration is the Y-chart paradigm (4). Tools like SPADE (5) and ORAS (6) implement techniques that support the Y-chart paradigm. These techniques are efficient for the exploration of alternative archi- tecture instances and mappings. In this paper, we focus on techniques that support efficient ex- ploration of alternative application instances in system level de- sign. An application instance is every partitioning of an applica- tion into a composition of tasks that can operate in parallel. We use the Kahn Process Network (KPN) model of computation (7) to describe application instances. In the Kahn model, parallel processes communicate via unbounded FIFO channels. In Fig- ure 1, we show a simple application and a set of model instances of this application described as KPNs (KPN 1 to KPN 5). Each application model instance differs from the others in the degree of exploited task-level parallelism. The latter means that the per-
EVALUATION WITH INADEQUATE DATA: THE IMPACT OF THE FRENCH VENDING MACHINE BAN

We estimate the effects of the 2005 ban on vending machines in French schools using the 1998 and 2006 INCA nutrition surveys. These surveys contain no information on the presence of vending machines in schools attended by respondents, but the adoption of a Difference-in-Difference design, and a Regression Discontinuity Design enable us to obtain indirect estimates of the policy impact. Results are consistent and suggest that the measure has had a small but significant impact on teenager nutrition, especially in terms of reduced fat intakes.
Implementing bootstrap in ward´s algorithm to estimate the number of clusters

In this paper we show how bootstrap can be implemented in hierarchical clustering algorithms as a strategy to estimate the number of clusters (k). Wards algorithm was chosen as an example. The estimation of k is based on a similarity coefficient and three statistical stopping rules, pseudo F, pseudo 2 T and CCC. The performance of the estimation procedure was evaluated through Monte Carlo simulation considering data consisting of correlated and uncorrelated variables, nonoverlapping and overlapping clusters. The estimation procedure discussed in this paper can be used with clustering algorithms other than Wards and also to provide initial solutions for non-hierarchical grouping methods.
The Days-of-the-Week Anomaly Change in LME Metal Market ~Nonlinear Approach~

This paper applies nonlinear nonparametric time series analytic tool by Wayland et al. (1993) and also proposes a test by random shuffling to detect existence of periodic pattern in a time series data and analyzes the days-of-the-week effect on London Metal Exchange listed nonferrous metal returns. The proposed technique makes it possible to carry out hypotheses testing which has not been executed. The empirical analysis investigated the interpolated daily spot & futures price indexes of LME since 1989. The
High level of extracellular fermentation and alternative purification of Escherichia coli Asparaginase II

L-Asparaginase II (ansB) from Escherichia coli is an approved therapeutic substance against diverse forms of leukemia. New application for this enzyme in fried food processing as an acrylamide reducing agent has substantially increased the demand for this enzyme. To expand the supply for ansB, we have developed a new fermentation system in combination with a straightforward purification method to obtain higher amounts of enzyme with adequate purity. The extracellular expression system was constructed by replacing the ansB nati ve signal sequence with PelB leader sequence. The fermentation medium was also optimized to obtain the highest extracellular expression. The effects of concentration of IPTG, exact OD600nm for IPTG implementation, and duration of induction were investigated. These modifications increased the expression levels up to 130 U/mL. Finally, two purification methods, column-based and precipitation-based, were compared for their efficiency and purity. Our results demonstrate the ansB production could be increased significantly by manipulating fermentation parameters and by applying innovative purification processes.
A trust-based framework for enhanced absorptive capacity: improving performance, innovation and competitive advantage

In rapidly changing and dynamic environments an organisation must have dynamic capabilities to sustain its competitive advantage among rivals. Knowledge Management research has investigated these capabilities. One such a capability is absorptive capacity (AC) that can be described as the ability of an organisation to acquire, assimilate, transform and exploit knowledge gained from external sources to apply to commercial ends. Although AC has been extensively studied as a construct during the last two decades, survey·based empirical studies have only paid attention to the linear relationship between AC and performance measures. However, trust-related issues have not yet been studied with respect to AC operationalisation in organisations. This research seeks to offer a holistic approach for studying how trust influences AC as an antecedent as well as a fundamental ingredient, bridging knowledge sharing, transfer and absorption. This paper looks at how organisations can enhance their AC with more sophistication by establishing trust culture and by qualifying trust as an antecedent for enhancing AC. The basic premise of this paper is that enhanced absorptive capacity has four interrelated linkages. The first linkage relates to trust values and trust-worthiness leading to knowledge sharing. The second linkage relates to knowledge sharing and its antecedents, leading to knowledge transfer. The third linkage relates to knowledge transfer and its antecedents leading to knowledge absorption, The fourth linkage relates to knowledge absorption and its antecedents enhancing AC. The paper also argues that the effective enhancement of AC demands various enablers in each linkage, such as information technology infrastructu re and social integration mechanisms. A framework is proposed to establish these linkages and to open further research avenues.
Response of bacterial and viral communities to nutrient manipulations in seawater mesocosms

Changes in natural bacterial and viral assemblages were studied in seawater meso- cosms manipulated with inorganic (nitrate + phosphate) and inorganic + organic (glucose) nutrient additions. As inferred from the gel band patterns obtained by DGGE, only moderate changes within the bacterial community took place when mineral nutrients were added alone. Supplementing the mineral nutrients with glucose in excess of what the bacteria could consume led, however, to major changes in band patterns. Based on fluorescence in situ hybridisation (FISH), the major bacterial response was identified as an increase in the population of γ-Proteobacteria with a smaller response in α -Proteobacteria. Sequencing of bands from the DGGE gels indicated that glucose + mineral nutri- ents led to a Vibrio-dominated bacterial community. A specific FISH probe was designed from a band sequence affiliated to Vibrio splendidus, and linked a large-celled bacterial morphotype to the DGGE-gel bands dominating in glucose-amended mesocosms. A similar difference in the response of the viral populations among treatments was demonstrated using pulsed field gel electrophoresis (PFGE). The number of bands on DGGE gels and PFGE gels were similar (mean ratio 0.98). We suggest an interpretation of these results where coexistence of nutrient-competing bacterial hosts is controlled by viral lysis. We also suggest that the success of large bacteria in glucose-replete treat- ments was not based on superior glucose-utilisation abilities, but rather on an advantage in competi- tion for limiting mineral nutrients derived from the combination of a large cell surface with a low cellular content of the limiting element, possible for cells with large C-rich inclusion bodies.
Low genetic diversity and intrapopulation spatial genetic structure of the Atlantic Forest tree, Esenbeckia leiocarpa Engl. (Rutaceae).

Studies on population genetics are the key to designing effective in situ management plans for tree species, in particular, those subjected to pressure from anthropogenic processes, such as forest fragmentation and logging. To investigate genetic diversity, inbreeding and intrapopulation spatial genetic structure (SGS) in a fragmented population of the insect-pollinated tropical tree, Esenbeckia leiocarpa, we developed specific microsatellite markers for this species and mapped and sampled 100 individuals in a forest plot. Two issues were addressed in particular: (i) the level of genetic diversity, inbreeding and effective population size, (ii) whether intrapopulation spatial genetic structure exists. Among the 14 loci developed, we only used the three that presented polymorphism to estimate the genetic parameters. Genetic diversity was low, whereby the average number of alleles per locus (A) was 3.3 and observed (H0) and expected heterozygosities (He) were 0.336 and 0.298, respectively. The average fixation index was significantly higher than zero (F = 0.112), suggesting inbreeding. Significant SGS was found up to 7 m and between 31 to 38 m, indicating that trees growing within these distances may be related. Estimates of the effective population size indicated that the 100 sampled trees correspond to 14 individuals that are neither related nor inbred. Our results suggest that the microsatellite markers developed in this study are suitable for studies on genetic diversity and structure, mating systems, gene flow and SGS in this species.
Wikipedia as a Distributed Problem-Solving Network

Wikipedia, the free online encyclopaedia put together by volunteers, is a prime example of a distributed problem-solving network with a global array of contributors creating a resource that has been compared to leading encyclopedia. The study focused on efforts to maintain the quality of Wikipedia entries and in particular of the use of tagging to signal the need for improvement in entries of Simple Wikipedia.
Credit Crunch, Creditor Protection, and Asset Prices

In a Tobin's q model with productivity and liquidity shocks, we study the mechanism through which strong creditor protection increases the level and lowers the volatility of stock market prices. There are two channels at work: (1) the Tobin's q value under a credit crunch regime increases with creditor protection; and, (2) the probability of a credit crunch falls for given stochastic processes of underlying shocks when creditor protection improves. We test these predictions by using cross-country panel regressions of the stock market price level and volatility, in 40 countries, over the period from 1984 to 2004, at annual frequency. We create indicators for liquidity shocks based on quantity and price measures. Estimated probabilities of big shocks to liquidity are used as forecasts of credit crunch. We find broad empirical support for the hypothesis that creditor protection increases the stock market price level and reduces its volatility directly and via its negative effect on the probability of credit crunch. Our empirical findings are robust to multiple specifications.
Processes of University Organizational Intelligence: Empirical Research

The move of the university from a service profile to a market profile has caused significant concern and dilemmas for academics and university policy makers. Universities are seen to be forced into the market place in ways that are reshaping them in their purposes and in the knowledge they create and disseminate As a theoretical concept, organizational intelligence takes over more and more important place in organizational theory. After thorough scientific literature analyse about organizational intelligence and after its generalization, in this article the organizational intelligence will be understood as the method of organization’s processes planning, which is based on an open and systemic organizations viewpoint and maintaining social relationships stimulating culture. In scientific literature are not dealt with the indicators of university’s effectiveness. That is why university’s effectiveness can be evaluated quite subjectively. The absence of universally accepted indicators of university effectiveness creates assumptions to differently interpret results, which distorts objective view of university effectiveness in the market. In the spring of 2008 the survey of 5 universities was accomplished, in order to evaluate the level of universities’ organizational intelligence according to intelligence processes. The resuls of empirical survey enabled to state, that the university, which has a higher level of organizational intelligence, manifests higher effectiveness. But this survey is only a guide to further research in order to prove the above mentioned interrelation. The results just state the assumption that forming an intelligent university wuold be created premises for the development of university’s processes development.
Social Dance: Steps to Success

Implementing the steps to success staircase preparing your class for success checking students' rhythmic skills introducing basic dance steps and short combinations adding Swing variations for longer combinations adding Cha-Cha variations for longer combinations adding Polka variations for longer combinations adding Fox-trot variations for longer combinations adding Waltz variations for longer combinations adding Rumba variations for longer combinations adding Tango variations for longer combinations adding Salsa / Mambo variations for longer combinations expanding your students' dance options and creativity.
Entity BasEd sEntimEnt analysis Using syntax PattErns and ConvolUtional nEUral nEtwork

This paper provides an alternative method to extracting object-based sentiment in text messages, based on modified method previously proposed by Mingbo [8], in which we first parse the syntax, and then correlate the sentiment with the object of analysis (also referred to as entity by some, therefore, used in this article interchangeably). We show two approaches for the sentiment polarity classification: syntactic rule patterns and convolutional neural network (CNN). Even without domain specific vocabulary and sophisticated classification algorithms, rule-based approach demonstrates an average macro-F1 based rank among the participants, whereas domainspecific vocabularies show a slightly higher macro-F1 score, but still close to an average result. CNN approach uses syntax dependencies and linear word order to obtain more extensive information about object relations. Convolution patterns, designed in this approach, are very similar to rules, obtained with rule-based approach. In our proposed approach, the neural network was trained with different Word2Vec (WV) models; we compared their performance relative to each other. In this paper, we show that learning a domain-specific WV offers slight progress in performance. Resulting macro-F1 score show performance in the into top three of the overall results among the competitors, participating in 2016 SentiRuEval event. Originally, we have not submitted our results to this competition at the time it was held, but had a chance to compare them post-hoc. We also combine the CNN approach with the rule-based approach and discuss the obtained differences in results. All training sets, evaluation metrics and experiments are used according to SentiRuEval 2016.
MODEL TESTS ON THE BELATIONSHIP BETWEEN DEEP--WATEB WAVE CHARACTERISTICS AND LONGSHORE CURRENTS

It has Long been recognized that the movement of Littoral material takes place, in the main, in the onshore regions of a beach where breaking of waves occurs. Waves whose crests in deep water make an angLe o(a with the shore Line, and which break at an angLe C*© , are the mam source of energy for the generation of the forces which manifest themselves in Long-shore currents and the resulting LittoraL transport. This littoraL materiaL is put into motion before, during and after breaking but it is extremeLy difficult to separate the effects of the forces and currents in these three zones. In what foLlows the authors have attempted to measure the intensity of the current around the breaking zone in a highLy ideaLized beach model in which the shore Line is straight, has a constant beach sLope, 0, and is attacked by waves of constant deep-water wave-height, HQ, and period, T. During refraction and shoaLing the angLe of the wave-crests with the shore-Line is reduced from o<o to «s and during this process some of the deep-water energy being transmitted shorewards may be dissipated by friction. The exact vaLue of c*e is a function of ota , H0/L0 , and the friction Loss, but wiLL increase, both theoretscaLLy and experimentally, with increasing H0/L0 , as shown by Brebner and Kamphuis (1963). Based on the angLe of breaking, «*<B , the wave-steepness at breaking, Hg/Lg, the depth of breaking dg, and the beach sLope, 0, it is possibLe to formuLate relationships for the Long-shore current, vj^, using the prmcipLe of conservation of energy and momentum and the principle of continuity.
Determinants of active ageing in Zambia

This study assesses the 2002 world health organisation Active Ageing Framework and how it applies to developing countries using data from Zambia. Up to date, there is little or no evidence of studies conducted to answer whether or not the 2002 world health organisation Active Ageing Framework is applicable to developing countries like Zambia. This study set out to (1) explore which of the determinants of the active ageing framework apply to Africa and Zambia in particular and, (2) the influence of HIV/AIDS on active ageing in general. A non-experimental exploratory research design was used to collect data for this paper. Snowball and purposive sampling was employed to select 690 respondents (284 males and 406 females) for the study. The study reveals that income accessibility (Economic Determinant), functional limitations (Health Determinants), low self-esteem and loneliness (Personal/Behavioural Determinants), low family and peer interactions (Social Determinants) and HIV/AIDS apply to Zambia in determining active ageing. The study suggests that focused research is needed to clarify and specify the role of each determinant, as well as the interactions between determinants in the active ageing process. In fact, the framework proposes that for such studies, a life course approach is required so as to take advantage of transitions and “window of opportunity” for enhancing health, participation and security at different stages. The study also recommends that policies on ageing should be structured to incorporate the applicability of the 2002 world health organisation active ageing framework’s main determinants of active ageing to reflect the Zambian context.
Is work-family conflict a predictor of organisational commitment among rural working women in Ebonyi State, Nigeria?

Public sector organisations in Ebonyi State are grappling with counterproductive behaviours suggestive of employees’ low commitment to their organisations; a situation that has invoked several government interventions aimed at arresting and reversing the trend. As a contribution to this effort, this study was aimed at ascertaining the extent work-family conflict predicts organisational commitment among rural working women in the State. A field-survey approach was adopted to collect quantitative data from 345 rural working women in three Local Government Areas of Ebonyi State, using an 18-item, five-point Likert-scaled questionnaire, which yielded 89 per cent response rate. The results of multiple regression analysis showed that time-based and strainbased family-to-work conflict were significant negative predictors of organisational commitment among rural working women, while behaviour-based family-to-work conflict was an insignificant negative predictor of organisational commitment among the population. These findings show that, though issues relating to family-to-work conflict are not popular in public and organisational policies in this part of the world, these issues are, nonetheless, important predictors of organisational commitment, and should be explored in the bid to improve workers’ commitment and performance in the work place.
A State Transition Approach to Conceptualising Research: the Project Portfolio Management Domain

Project Portfolio Management (PPM) is an area of organisational activity that attempts to govern the selection and of management of an organisation's ICT projects. As a domain of study PPM is characterised by undisciplined diverse opinion as to its nature and a commercial approach to management standards, business literature and software support. In this paper we examine the use of the State-Transition Approach as a possible means for bringing structure to the study of the PPM domain. We demonstrate its effective use for the analysis of the literature, research question formulation, research design and data collection and analysis. We argue that PPM is an example of a class of problematic, complex phenomena of interest to the IS discipline and that an adaptation of the state-transition approach seems to offer a useful conceptual framework for research across that class.