Miracle-dz/UniFAR-FTUs huggingface dataset:
Worst-Case Execution Time Analysis of Parallel Systems

The problem of finding the Worst-Case Execution Time, WCET, of a program executed on a specific hardware architecture is a very challenging task. A lot of effort has been put into analysing sequential programs executing on single-core hardware. The result is a variety of different methods and tools. The author currently works on finding methods for static WCET analysis of parallel software. The emphasis of the work is put on analysing the impact of synchronisation between threads executing on a shared memory architecture. The analysis is done on the software level, so less focus is put on the effects of the actual hardware on which the parallel program executes. The analysis is based on a small parallel programming language incorporating some fundamental synchronisation primitives; locking and unlocking of shared resources. The programming language is formally defined, which allows the correctness of the analysis to be proven.
THROUGH THE EYE OF THE TEACHER: MEMORIES OF AN ELETRONIC GAME BASED ACTIVITY

This article aims to present reports of a continuing education course offered to future English teachers in the city of Rio Branco. The motivation for the development of the course came from an opportunity to share experiences of the course Trace Effects Online Teacher Training offered by the American English Institute in the College of Arts and Sciences at the University of Oregon (UO AEI). Based on social-interactional theory perspective in which knowledge is constructed in a social environment, the inclusion of the game in the classroom can develop collaboratively the construction of new knowledge on various subjects, and thus providing the student a cultural transformation (GEE, 2007; ALVES 2005 and others). In this bias, the report itself is to present the results of a resarch that can contribute to English teachers and trainees, favorable methods to the process of teaching and learning using technology in the classroom, believing that some foundations may be planted seeking to improve the training of teachers to deal with the use of this feature, especially the game Trace Effects, improving therefore their teaching practices.
Electronic structure of the candidate 2D Dirac semimetal SrMnSb2: a combined experimental and theoretical study

SrMnSb22 is suggested to be a magnetic topological semimetal. It contains square, 2D Sb planes with non-symmorphic crystal symmetries that could protect band crossings, offering the possibility of a quasi-2D, robust Dirac semi-metal in the form of a stable, bulk (3D) crystal. Here, we report a combined and comprehensive experimental and theoretical investigation of the electronic structure of SrMnSb22, including the first ARPES data on this compound. SrMnSb22 possesses a small Fermi surface originating from highly 2D, sharp and linearly dispersing bands (the Y-states) around the (0,π/a)-point in k-space. The ARPES Fermi surface agrees perfectly with that from bulk-sensitive Shubnikov de Haas data from the same crystals, proving the Y−states to be responsible for electrical conductivity in SrMnSb22. DFT and tight binding (TB) methods are used to model the electronic states, and both show good agreement with the ARPES data. Despite the great promise of the latter, both theory approaches show the Y-states to be gapped above EF, suggesting trivial topology. Subsequent analysis within both theory approaches shows the Berry phase to be zero, indicating the non-topological character of the transport in SrMnSb22, a conclusion backed up by the analysis of the quantum oscillation data from our crystals.
Do Technical Skills Correlate with Non-Technical Skills During Crisis Resource Management?

Introduction: Both technical skills (TS) and non-technical skills (NTS) are indicators to ensuring the patient safety during critical care practice and effective crisis resource management (CRM). These skills are usually assessed and taught individually. Objectives: To assess the relationship between the TS and NTS in CRM. Method: Extended literature review using electronic data bases such Google Scholar, Pubmed and Medline via Ovid databases. Results: The TS and NTS were significantly correlated. Conclusion: The TS and NTS should be treated as relevant factors to achieve an efficient CRM practice. Therefore, both TS and NTS are not independent of each other in intraoperative crisis management. More studies needed to evaluate the influence of NTS on the performance of TS.
Model Based Analysis of Shimmy in a Racing Bicycle

In this paper we are presenting a model of a racing bicycle, developed in Modelica language within the Dymola environment. The main purpose is to investigate the dynamic response of the bicycle and its modes of vibration, referring in particular to shimmy. This phenomenon occurs at high speeds and consists of sudden oscillations of the front assembly around the steering axis. Lateral accelerations on the horizontal tube of the frame can reach 5-10 g with a frequency that varies between 5-10 Hz. Even if it is quite uncommon, shimmy is a topic of great relevance, because it may be extremely dangerous for the rider. Thanks to this model, we can show that the main elements which contribute to the rise of the oscillations are the lateral compliance of the frame and the tyres’ deformation.
Regional and environmental effects of the EU enlargement and Euro zone

Awareness of regional economic disparities has been long established. It is clear that regional disparities still play an important role in quality of life. Particularly in Europe and in the European Union, extensive research has been boosted on regional disparities and how they are influenced by the economic integration and the Economic Monetary Union. This paper proposes a theoretical framework for regional classifications and rankings based on the development of environmental indices. This framework is being used to classify European Union countries according to the extent to which they are influenced by supply-side (producer) and demand-side (consumer) responses to their specific bundle of economic and environmental attributes. This classification provides information about the relative attractiveness to producers and consumers of the combination of economic and environmental attributes indigenous to each region. It can also assist on the regional and environmental policies of the European Union by proposing an appropriate mix of environmental and regional policies for each country under examination based on a number of characteristics (high productivity, low productivity, high amenity, low amenity).
Why is It so Hard to Solve Long Divisions for 10-Year-Old Children?

Although division is considered as the most difficult arithmetic operation to solve, it is also the less studied. The aim of the present study was to explore the contribution of some cognitive abilities (knowledge of multiplicative facts, attentional and spatial capacities) of 10-year-old children to their achievement in solving long divisions, and to define the factors that make long divisions difficult. Although the size of the operands predicted performance, the number of processing steps required to perform each division was the best predictor of achievement. Moreover, increased attention capacity and better knowledge in multiplicative facts favoured division solving, whereas spatial capacity did not contribute for unique variance. Finally, the decrease in performance when solution requires more processing steps was stronger in children with lower attentional capacity.
ANTENNA ARRAY CONFIGURATION EFFECTS ON THE RADIATION PATTERN AND BER OF THE MODIFIED ADAPTIVE CMA IN CDMA BASED SYSTEMS

Abstract– A time-varying multipath channel model for wireless systems as an extended form of Gaussian Wide Sense Stationary Uncorrelated Scattering (GWSSUS) model and a modified adaptive Constant Modulus Algorithm (CMA) for use in a CDMA system environment are presented. The large angular spread of the signal sources is considered. The post-correlation model (PCM) of data structure is used in CMA, too. The modified adaptive CMA algorithm has faster convergence and causes better radiation patterns in different array geometries to track signal sources. Comparing the signal to noise ratio at the output of the algorithm for uniform linear and circular arrays with theoretical results proves the efficiency of the presented algorithm. BER performance of the algorithm for different element numbers of uniform linear and circular array antennas with DBPSK modulation is also studied.
Information Stochasticity between Developed and Emerging Markets: Evidence from US-India

The globalization of economic systems and the increased pace of information transmission have amplified the contagion effect of risk, especially during financial crises, as a crisis in one region can extend internationally. Rezaei, F. , & Moradi, A. (2012), Shah, A. , et al (2010). In this context, the present study scrutinizes the relations and distinctiveness of price movements of emerging market (India) with developed market (US) applying open and close values of daily stock market indices from January 2001 to May 2012, using Co-integration tests, Vector error correction Model, Granger causality relationship, Impulse responses function and Variance decomposition method. The results of Co-integration tests and VECM collectively exhibit that both long-run and short-run relationships exist between the stock markets of US-India. In addition, these were magnified in the short-run during the 2007-2009 US financial crisis. From the impulse response results it can be inferred that innovations in NYSE close returns affect both open and close returns of Indian and US markets, with an increased effect on the Indian market. Similar impact is found in the case of NIFTY close returns as well. From the Variance decomposition analysis it is evident that US close and open returns marginally explain the variance of NIFTY close returns. During crisis the impact has almost doubled. In the short run US returns granger cause Indian market returns. The findings implicate that the (US index) developed market acts as a conducing indicator and information stochasticity from the US index swiftly affect the emerging stock market (Indian market).
Comparative Study on Separation of Proteins from Whey Waste bySolvent Sublation in Batch and Continuous Mode

The work is based on investigation on the separation of proteins from whey waste collected from local confectionery. Separation phenomenon involves solvent sublation technique both in batch and continuous mode. The objective of this work was to make a comparative study of afore mentioned batch and continuous method. The effect of pH, initial feed, concentration of feed, nitrogen gas flow rate, surfactant concentration, ionic strength, concentration of organic solvent and temperature were investigated in details. The amount of protein recovered in single continuous mode after 5 hr was 3644 mg, %Rp (90%), total volume (8100 ml), effective concentration (49.5 mcg/ml). The VFR 14 cc/min, %Rp was nearly 1.3 times more in continuous solvent sublation technique in comparison to the batch mode at optimum pH and GFR.
DETECTION OF ROOF BOUNDARIES USING LIDAR DATA AND AERIAL PHOTOGRAPHY

OF THESIS DETECTION OF ROOF BOUNDARIES USING LIDAR DATA AND AERIAL PHOTOGRAPHY The recent growth in inexpensive laser scanning sensors has created entire fields of research aimed at processing this data. One application is determining the polygonal boundaries of roofs, as seen from an overhead view. The resulting building outlines have many commercial as well as military applications. My work in this area has created a segmentation algorithm where the descriptive features are computationally and theoretically simpler than previous methods. A support vector machine is used to segment data points using these features, and their use is not common for roof detection to date. Despite the simplicity of the feature calculations, the accuracy of our algorithm is similar to previous work. I also describe a basic polygonal extraction method, which is acceptable for basic roofs.
STATISTICAL LEARNING WITH APPLICATIONS IN HIGH DIMENSIONAL DATA AND HEALTH CARE ANALYTICS

Title of dissertation: STATISTICAL LEARNING WITH APPLICATIONS IN HIGH DIMENSIONAL DATA AND HEALTH CARE ANALYTICS Yimei Fan, Doctor of Philosophy, 2017 Dissertation directed by: Professor Ilya Ryzhov Department of Decision, Operations and Information Technologies Statistical learning has been applied in business and health care analytics. Predictive models are fit using hierarchically structured data: common characteristics of products and customers are represented as categorical variables, and each category can be split up into multiple subcategories at a lower level of the hierarchy. Hundreds of thousands of binary variables may be required to model the hierarchy, necessitating the use of variable selection to screen out large numbers of irrelevant or insignificant features. We propose a new dynamic screening method, based on the distance correlation criterion, designed for hierarchical binary data. Our method can screen out large parts of the hierarchy at the higher levels, avoiding the need to explore many lower-level features and greatly reducing the computational cost of screening. The practical potential of the method is demonstrated in a case application involving a large volume of B2B transaction data. While statistical inference has been widely used for decision and policy making in health care, we particularly focused on how providers get paid for some common procedures. We explored a few rich datasets and discovered large variations among providers for how much payers/insurers have paid, aka allowed payment. Then we proposed to incorporate available providers’ attributes with regression model to explain the possible reasons for those payment variations. STATISTICAL LEARNING WITH APPLICATIONS IN HIGH DIMENSIONAL DATA AND HEALTH CARE ANALYTICS
Alzheimer Caregivers: A Study of Associations between Neuropsychiatric Symptoms, Caregiver Coping Strategies, and Quality Of Life

People with Alzheimer’s Disease (AD) exhibit neuropsychiatric symptoms (NPS) that may negatively impact specific areas of caregiving for care recipients. Additionally, Problem-Focused (PF) and Emotion-Focused (EF) coping strategies have been shown to be differently related to depression in AD caregivers. The present study explored relationships between care recipient NPS, caregiver quality of life (QOL) and caregiver coping strategies. Alzheimer’s caregivers were recruited from support groups and aging and disabilities services offices in the Portland, OR, area. Twenty caregivers completed the Neuropsychiatric Inventory Questionnaire (NPI-Q), Caregiver Quality of Life questionnaire (CGQOL), and Ways of Coping-Revised (WOC-R). Pearson product moment correlations indicated a negative trend between Planful Problem Solving coping strategies and Assistance in Instrumental Activities of Daily Living (IADLS) r(18) = -. 519. A positive trend was found between NPI-Q scores with Assistance in IADLS r(18) = . 457 and Assistance in ADLS r(18) = . 415. Exploratory analyses indicated a negative trend between Escape-Avoidance coping strategies and Role Limitations Due to Caregiving, r(18) = -. 498, p =. 025 as well as caregiver Personal Time, r(18) = -. 520, p = . 019, Assistance in IADLS, r(18) = -. 440, p = . 052 and Assistance in ADLS, r(18) = -. 466, p = . 038. Part correlations controlled for several care recipient and caregiver variables. Pearson product moment correlations revealed that relationship to the care recipient, caregiver age, and caregiver ethnicity, and caregiver attendance at support groups affected correlation strengths. Further studies should investigate how caregiver coping strategies mediate the relationship between NPS in people with AD and caregiver QOL.
Chiral magnetic effect in protoneutron stars and magnetic field spectral evolution

We investigate the evolution of the chiral magnetic instability in a protoneutron star and compute the resulting magnetic power and helicity spectra. The instability may act during the early cooling phase of the hot protoneutron star after supernova core collapse, where it can contribute to the buildup of magnetic fields of strength up to the order of 1014 G. The maximal field strengths generated by this instability, however, depend considerably on the temperature of the protoneutron star, on density fluctuations and turbulence spectrum of the medium. At the end of the hot cooling phase the magnetic field tends to be concentrated around the submillimeter to cm scale, where it is subject to slow resistive damping.
REDUCTION OF LEAKAGE POWER IN CMOS MUX USING LEAKAGE CONTROL TRANSISTOR IN 90nm TECHNOLOGY

The scaling down of technology results in scaling of threshold voltage thereby increasing the sub-threshold leakage current. Lector is a technique for designing CMOS circuits in which two leakage control transistors are introduced between PUN and PDN to reduce the leakage current without affecting the dynamic power dissipation, which made Lector a better technique in leakage power reduction when compared to all other existing leakage reduction techniques. This paper presents the analysis of leakage current in MUX using Lector technique by 90nm technology.
Life Time Maximization of Wireless Sensor Node by Event Based Detection: An Experimental Approach

Summary Lifetime maximization is the key element in the design of sensorbased network applications. The lifetime is a critical parameter for wireless sensor network (WSN) which is defined as the maximum time of delivering certain data to the base node before sensor node runs out of energy available with it initially. Extending lifetime of battery-operated devices is a key design issue that allows uninterrupted information exchange among distributed nodes in wireless networks. In this paper, we consider event detection method to maximize the life time of WSN. Event based detection has always been an important application in the practical deployment of WSN. Threshold based event detection method works well in our application. The energy consumption sources of the WSN are analyzed for the significant characteristics of a specific event. This analysis is utilized to observe the increase in life time of wireless sensor node.
Forest and water relations in miombo woodlands : need for understanding of complex stand management

Miombo is a significant biome covering about 10% of the African landmass. Climate semi-aridity is the main edaphic determinant. Range of annual rainfall and dry season length is high, but the unimodal rainfall distribution is common for all miombo. Water is increasingly an issue of trade-off between different land uses and increasing demand on biomass production. This review gives a basic description of major components in the relations between tree cover and water in semi-arid landscapes. From this, in lack of relevant research within miombo landscapes, a scientifically based discussion is given on how future uses and management of these complex woodlands could serve in better management of scarce water resources and in what ways more research in these aspects could enlighten this discussion. It is concluded that, like for other semi-arid landscapes, there is need for understanding and developing more complex stand management to optimize biomass production and water use efficiency. At the same time climate change adaptation will add to this need of deepened biophysical process understanding.
Effect of Regulatory Reform on the Efficiency of Mobile Telecommunications

Regulatory reform of the mobile telecommunications sector has been introduced to improve productivity and competitiveness. We use Data Envelopment Analysis and Stochastic Frontier Analysis, and a second-stage econometric analysis to identify the effect of different aspects of reform on productivity and its constituent parts across twenty-two firms from seven countries over 1998-2007. While measures of firm performance are sensitive to the choice of methodology, we find robust evidence that competition and independent regulation improve firm efficiency. Privatized firms are not necessarily more efficient, but can improve productivity more quickly than their public counterparts.
Numerical analysis of reactant transport in the novel tubular polymer electrolyte membrane fuel cells

In present work, numerical analysis of three novel PEM fuel cells with tubular geometry was conducted. Tree different cross section was considered for PEM, namely: circular, square and triangular. Similar boundary and operational conditions is applied for all the geometries. At first, the obtained polarization curve for basic architecture fuel cells was validated with experimental data and then results of novel tubular three architectures were compared with basic conventional geometry. The results showed that for one case in V=0.4 volt, circular and square tubular models gives up to 27.5 and 8 percent outlet current density more than base model, whereas in triangular model predicts the decrease of 14.37 percent compared to the base model. Because square tubular and in particular circular tubular models doesn’t have sharp edges, uniform reaction could take place in allover the catalyst layer of cathode and anode electrodes and therefore the distribution of the hydrogen, oxygen and water is uniform. Also circular geometry due to use of all the reaction surface and lacking of dead zones produces higher power outputs. The temperature distribution in lateral direction in the reaction zone for three configurations indicates that maximum temperature for circular tubular has the lowest values in comparison to two other cases that is resulting from uniform surface reaction for this geometry. The results presented in this paper can be used for designing novel architecture of fuel cells.
A comparison of alternative approaches for the automated organisation of design information

Due to the ever-increasing amount of information available within modern engineering organisations, improved approaches need to be developed to allow for the automated organisation of documents (since pre-organised information can be more easily retrieved at search time). This paper presents a comparison of different approaches that can be used to organise textual design information within engineering organisations. Two types of information organisation strategies are presented and their advantages and disadvantages discussed: (i) document clustering and (ii) document classification (or categorisation).
MARKETING SYSTEM AT ENTERPRISES

The demand for innovations at the enterprises of different industries grows every year. Innovative enterprises exist due to the unique products. The relevance of marketing activities while working with the innovation leaves no doubt. In this paper, we consider the marketing mix in introducing a new product to market. The innovations marketing system is developed on the basis of various Russian and foreign methods of innovative products introduction. A complex of marketing communications was thoroughly revealed by the example of the Russian company. The results of the research are methodological and practical marketing recommendations for company representatives. We used the methods of an experimental and theoretical level: synthesis, analysis and hypothesis. Information for the creation of marketing innovations complex was synthesized. The analysis of the company current situation and a list of new strategies on pricing and the introduction of new products were proposed. Profiles of potential consumers were compiled hypothetically. © 2017 Published by Future Academy www.FutureAcademy. org.uk