Miracle-dz/UniFAR-FTUs huggingface dataset:
A TABLE LOOKUP-LESS METHOD FOR CORRECTLY ROUNDED IEEE-754 ELEMENTARY FUNCTIONS

This thesis presents a hardware-oriented method for computing correctly rounded IEEE-754 single-precision floating-point elementary functions. The method presents a table “lookup-less” approach using a minimax approximation polynomial of a high degree within a single wide range as opposed to the currently dominant table-based designs that have to use large look-up tables while maintaining low-degree piecewise polynomials to achieve the accuracy required for correct rounding. The method is firstly applied to trigonometric functions for argument values |x| < 253. Range reduction and polynomial evaluation steps are carried out using a standard double-precision fused-multiply add (FMA) with the help of a simple control unit and combinational logic to support the range reduction, the implicit reconstruction and the final rounding steps. The method uses a single low-cost range reduction algorithm for all arguments without penalizing small and intermediate argument values. This approach makes computing correctly rounded trigonometric functions for a very large range of arguments possible entirely at the hardware level with reasonable logic resources and low memory requirements that can be less than 700 bits. This memory is 3.5 to 5 times smaller than the state-of-the-art faithful quadratic minimax table-based designs that cover a reduced range. Although the thesis addresses the round-to-nearest mode, the method can be easily applied to the directed rounding modes. Moreover, the method is applied for 2x and log2(x) within reduced intervals. We also argue that the method can be extended to involve the double-precision case for trigonometric functions.
The Wine Sector in the Digital Era: An Empirical Evaluation of E-qualityOpportunities

Wine quality has been viewed as critical to the success of online businesses, with the growing understanding that it is one of the main aspects of customer satisfaction and loyalty. The aim of this research is to analyze the multi item web quality construct in its relationship with loyalty intention and satisfaction. The study aims to contribute to the literature by addressing two hypotheses: 1) Does loyalty moderate the relationship between satisfaction and the multi-item construct of web-quality? 2) Does satisfaction moderate the relationship between loyalty and the multi-item construct of web-quality? In order to answer these research questions a questionnaire and an interview were used on a sample of 2.782 users of the nine wine consortia web sites of Friuli Venezia Giulia between November 2013 and November 2014. Friuli Venezia Giulia is an Italian Region of ancient winemaking traditions situated in Italy’s northeast and borders Slovenia and Austria. The web consortia aim to regulate, promote and support the regional wine tradition in Italy and abroad. During the filed research data was gathered trough a structured questionnaire that was comprised using a multi-item scales which referred to the seven dimensions of web quality derived from the literature review (i.e., usability, design, processing speed, information quality, contact, navigability and content). Two moderated regression analyses were conducted to investigate first the moderating effects of loyalty on the relationship between web quality and satisfaction and secondly the moderating effect of satisfaction the relationship between web quality and loyalty. Specifically the results show that usability, design, contacts, navigability and contents are the five items of e-quality that have the main positive influence on customer satisfaction, instead of the processing speed that has a negative impact; when we consider customer loyalty as a dependent variable; the main effects are presented by all the seven items.
A Secured IoT Based Advanced Health Care System for Medical Field using Sensor Network

In day to day life health awareness and controlling system is important to monitor those patient’s physiological parameters frequently. In the recent health awareness environment those usage of IOT innovation organization acquires accommodation of professionals and also patients, since they are connected to different medical fields. A sensor node needs to be arranged on the apparent of the patient body will gather the entire signal from those wireless sensor and also send them of the body sensor node. Those connected sensor nodes on the patient’s body can make in the structure of a wireless body sensor network furthermore they have the capacity with sense those heart beat rate, temperature of surroundings. That basic focus to this system may be on transmitting the individuals’ patient’s health watching parameters through wireless communication in crucial conditions. We propose a secure IOT built health awareness monitoring and will check that saline level of the patient.
NEW SPECIES AND CLADISTIC REANALYSIS OF THE SPIDER GENUS MONAPIA (ARANEAE, ANYPHAENIDAE, AMAUROBIOIDINAE)

The known range of the South American genus Monapia, previously known only from temperate South American forests, is expanded to central and eastern Argentina and Uruguay. A mono- phyletic group of five species with spinose forelegs is proposed, including M. angusta, newly transferred from Arachosia, plus four new species: M. charrua, M. guenoana, M. fierro and M. carolina. One new species, M. tandil (from Buenos Aires Province), is proposed to be the sister group of Monapia vittata. A data matrix with 43 characters for the 13 species of the genus (plus 9 amaurobioidine outgroups) was cladistically analyzed. Although relationships among species are mostly resolved, the basal phylogeny of the genus remains unclear. The previous hypothesis of relationships of Monapia alupuranis unsupported in this new analysis. Additional records are given for M. lutea and M. dilaticollis.
Integrative Diabetes and Cardiovascular Diseases Effect of Progressive Resistance Training along with Aerobic Training on Glycemic Control in Type 2 Diabetes

Background and Objective: Diabetes is a disease characterized by high blood glucose. About 220 million people have Type 2 Diabetes Mellitus (T2DM) in the world today. Objective: To find out the effect of progressive resistance training along with aerobic exercise on glycemic control in type 2 diabetes. Methods: 30 participants, who fulfilled selection criteria, were included in the study and they were randomly divided in two groups. Group A (n=15) performed the aerobic training and Group B (n=15) performed progressive resisted training along with aerobic training. Both groups were trained eight weeks of treatment consisting of five sessions weekly. HbA1c, BMI and SF 36 score were measured at baseline and posttest. Wilcoxon signed ranks test was used for the comparison between the pre and posttest values within the group and Mann Whitney U test was used for comparison between the pre and posttest values of the two groups. Results: There is significant reduction in the HbA1c and improvement in BMI and SF 36 score (p< 0.05) in both the groups but group B shows more significant difference than group A. Conclusion: The result of present study indicates that progressive resisted training along with aerobic training is effective on glycemic control in type 2 diabetes.
Pluto 4 D — Australia ’ s fi rst 4 D over a gas fi eld is an outstanding success

The Pluto 4D seismic survey is Australia’s first 4D survey acquired over a gas field and has been an outstanding success despite the prior high technical risk of not being able to detect 4D differences above the background noise. At the time of the Pluto 4D monitor survey, the Pluto field had been on production for three years and nine months and produced approximately 1 Tcf of gas. The first monitor survey was acquired by PGS between November 2015 and February 2016 using dual sources and 12 streamers of 7050m (geostreamer configuration). Also of note was the use of steerable sources to assist with repeatability, and towing the streamers at 20m to minimise noise. Data was processed by CGG to pre-stack depth migration (PreSDM), took 12 months to deliver and required significant interaction between Woodside geoscientists and CGG to ensure an excellent 4D product. 4D feasibility studies carried out before acquisition showed that saturation changes (related to water ingress) were expected to show strong 4D responses near the gas water contact (GWC) and would be interpretable if the monitor survey was run after approximately three to four years of production. If the monitor survey was delayed, it showed that the pressure response became too large, swamped the 4D differences and made interpretation difficult or impossible. Strong ‘hardening’ responses on the 4D difference volumes are interpreted as water ingress into the field. Hardening responses are seen in all reservoir sequences in the Triassic from the TR27 to the TR32 units and range from strong (obvious) to weak (possible). Several examples are shown – the strongest response is seen in the large Triassic (TR27.3) valley within an essentially shale prone unit, which shows water ingress into the valley and moving upwards from the GWC towards the producing well. The results/insights from the 4D data have provided excellent control points for the history matching of the Pluto Field.
Environmental and biological requirements of post-smolt Atlantic salmon (Salmo salar L.) in closed-containment aquaculture systems

Production of Atlantic salmon (Salmo salar L.), exceeds 2 million tonnes globally, and accounts for 90% of the salmon on the market. Presently, the predominant production of post-smolt Atlantic salmon occurs in open sea cages. Environmental concerns, during the production phase at sea are limiting further growth of the industry. In closed-containment aquaculture systems (CCS), the cultured fish are separated from the natural environment by a physical barrier; these can be land-based systems or closed units in the sea. Using CCS to shorten the time fish are reared in open sea cages has been highlighted as key to solving important challenges the industry is facing today. However, there is a lack of knowledge on the biological and environmental requirements of post-smolt Atlantic salmon in CCS. This thesis aims to provide insight on the effects of some key husbandry conditions on post-smolt performance and welfare in both seaand land-based CCS. Commercial feasibility of farming post-smolt Atlantic salmon in CCS in the sea relies on maximizing fish density. To assess stocking density limits, five different densities (25, 50, 75, 100 and 125 kg m) were maintained in flow-through seawater systems for eight weeks. Increased stocking density had a negative effect on growth and feed utilization, and increasing density from 100 kg m to 125 kg m lead to a 42 % decrease in growth rate. After eight weeks, primary (elevated plasma cortisol) and secondary (hydro-mineral and acid-base) stress responses were observed in the highest density treatment compared to other treatments. Densities of 100 kg m or more also increased pectoral fin damage and cataracts. Fish stocked at the medium (75 kg m) density displayed more robust telencephalic activation of both stress and neural plasticity responses, compared to fish in the lowest (25 kg m) and highest (125 kg m) densities. Overall, the results suggest that stocking density can be maximized up 75 kg m without compromising performance and welfare in Atlantic salmon post-smolts in CCS in sea. Given the peak expression of genes that are important for cognition and memory, densities around 75 kg m may in fact be optimal for welfare. Determining the mass-specific water flow (SWF) required by post-smolts will largely influence the design and dimensioning of closed-containment systems in the sea. Prominent physiological
Computational study of water mist for a tunnel fire application

This work deals with the study of the phenomena involved when a water mist is sprayed in a tunnel fire environment. It relies on an extensive use of numerical simulations using the CFD code Fire Dynamics Simulator. The first chapter of this thesis provides an overview of the tunnel fire characteristics and the phenomena involved when the water mist is sprayed. A bibliographical review on the research on tunnel fires with or without any mitigation system is conducted, allowing to outline the reason and the context for this research. In the second and third chapters, the computational tool undergoes testing. It is verified and validated based on comparison with analytical solutions and experimental cases of increasing complexity : from the laboratory scale for assessing one particular part of the water spray model (chapter 2) up to the tunnel scale (chapter 3). For the last case, the code validation makes use of the results of a reduced scale (1/3rd) tunnel fire test campaign conducted between 2005 and 2008. Once the validation is achieved, the computational tool is used intensively in the third chapter in order to improve the understanding of the interaction phenomena between water mist, tunnel longitudinal ventilation and fire. In particular, the water mist influence on the tunnel air flow is studied, the water mist heat contribution is quantified and the heat transfered to the droplets is identified. Furthermore, the CFD code is used to assess the impact of the longitudinal air velocity, the heat release rate and the water droplet size on the water mist efficiency. The last chapter illustrates how a CFD code can be used on a given situation, here a compartment fire test campaign, in order to foresee the interaction between the water mist, the smoke layer and the smoke extraction.
KONSTANTIN RYKOV QUASI-LINEAR MODELING OF POWER SATURATION IN BIPOLAR JUNCTION TRANSISTORS Master’s thesis

TAMPERE UNIVERSITY OF TECHNOLOGY Master’s Degree Programme in Electrical Engineering RYKOV, KONSTANTIN: Quasi-Linear Modeling of Power Saturation in Bipolar Junction Transistors Master of Science Thesis, 57 pages, 1 Appendix page November 2013 Major subject: Radio Frequency Electronics Examiners: Professor Leena Ukkonen, Postdoctoral Researcher Toni Björninen.
Anhydrobiosis in the free-living antarctic nematode Panagrolaimus davidi (Nematoda: Rhabditida)

The antarctic nematode Panagrolaimus davidi Timm, 1971 can survive exposure to 99 % and 76 % relative hwnidity but will orny survive anhydrobiotically at 0 % relative humidity if it is first dried at a higher relative humidity. Varying the water content of agar films showed an optimum rate of drying for survival but desiccation on agar fUms did not significantly enhance survival compared with drying from water at 99 % relative humidity. Slow rates of water loss allowed the nematodes to coil during desiccation. Increasing the severity of desiccation increased the lag phase before recovery upon rehydration. P. davidi is a slow-rate survivor, relying on slow rates of water loss from its moss habitat.
media an appropriate data source to improve travel demand 1 estimation models ?

1 2 Social media data has emerged as an innovative data source for traffic analysis. In this 3 paper, we evaluate the effectiveness of including Twitter data into the 4 Origin-Destination (OD) trip estimation. 1.3 million of geo-tagged tweets in the 5 Greater Sydney Area for more than two months are collected, and information such as 6 Twitter OD trips, the number of friends and followers of Twitter users are extracted as 7 the independent variables in the OD trip regression model. The Random Forest 8 regression technique is applied to develop the OD trip regression. The performance of 9 the models considering Twitter data and not including Twitter data are compared via 10 10-fold cross-validation method. The results indicate that the accuracy and stability of 11 the RF regression model can be improved if we consider Twitter data in the 12 independent variables. Inspired from this finding, we conclude that social media data 13 can be an effective data source to improve the prediction of traditional travel demand 14 models. The regression results at the suburb level also suggest that the heterogeneity 15 of socio-demographic features across suburbs will affect the model performance. To 16 further improve the prediction, it is necessary to categorize suburbs into groups based 17 on socio-demographic characteristics such as population density and distance to city 18 center, and develop a separate OD trip regression model for each group. 19 20 21 22
All-optical switching using a new photonic crystal directional coupler

In this paper all-optical switching in a new photonic crystal directional coupler is performed. The structure of the switch consists of a directional coupler and a separate path for a control signal called “control waveguide”. In contrast to the former reported structures in which the directional couplers are made by removing a row of rods entirely , the directional coupler in our optical switch is constructed by two reduced-radius line-defect waveguides separated by the control waveguide. Furthermore, in our case the background material has the nonlinear Kerr property. Therefore, in the structure of this work, no frequency overlap occurs between the control waveguide mode and the directional coupler modes. It is shown that such a condition provides a very good isolation between the control and the probe signals at the output ports. In the control waveguide, nonlinear Kerr effect causes the required refractive index change by the presence of a high power control (pump) signal. Even and odd modes of the coupler are investigated by applying the distribution of the refractive index change in the nonlinear region of a super-cell so that a switching length of about 94 µm is obtained at the wavelength of 1.55 µm. Finally, all-optical switching of the 1.55 µm probe signal using a control signal at the wavelength of 1.3 µm, is simulated through the finite-difference time-domain method, where both signals are desirable in optical communication systems. A very high extinction ratio of 67 dB is achieved and the temporal characteristics of the switch are demonstrated.
The NMMB/BSC-CTM: a multiscale online chemical weather prediction system

Abstract: The model NMMB/BSC-CTM is a new fully on-line chemical weather prediction system under development at the Earth Sciences Department of the Barcelona Supercomputing Center in collaboration with several research institutions. The basis of the development is the NCEP new global/regional Nonhydrostatic Multiscale Model on the B grid (NMMB). Its unified nonhydrostatic dynamical core allows regional and global simulations and forecasts. A mineral dust module has been coupled within the NMMB. The new system, NMMB/BSCDUST, simulates the atmospheric life cycle of the eroded desert dust. The main characteristics are its on-line coupling of the dust scheme with the meteorological driver, the wide range of applications from meso to global scales, and the dust shortwave and longwave radiative feedbacks on meteorology. In order to complement such development, the BSC works also in the implementation of a fully on-line gas-phase chemical mechanism. Chemical species are advected and mixed at the corresponding time steps of the meteorological tracers using the same numerical scheme of the NMMB. Advection is Eulerian, positive definite and monotone. The final objective of the work is to develop a fully chemical weather prediction system, namely NMMB/BSC-CTM, able to resolve gas-aerosol-meteorology interactions from global to local scales. Future efforts will be oriented to incorporate a multi-component aerosol module within the system with the aim to solve the life-cycle of relevant aerosols at global scale (dust, sea salt, sulfate, black carbon and organic carbon). In the present contribution we describe the status of development of the system and first evaluation results of the gas-phase chemistry.
ID 15-IOBSERVER : SPECIES RECOGNITION VIA COMPUTER VISION

This paper is about the design of an automated computer vision system that is able to recognize the species of fish individuals that are classified into a fishing vessel and produces a report file with that information. This system is called iObserver and it is a part of project Life-iSEAS (Life program). A very first version of the system has been tested at the oceanographic vessel “Miguel Oliver”. At the time of writing a more advanced prototype is being tested onboard other oceanographic vessel: “Vizconde de Eza”. We will describe the hardware design and the algorithms used by the computer vision software.
Macroeconomic Variables Impact on Stock Market Performance in the Short & Long Run: A Pakistan Perspective

This study, based on 128 monthly observations, examines the impact of 11 macroeconomic variables on stock market performance in short and long run. The Johansen’s Co-integration test, Granger Causality test and Correlations test are used for empirical purposes. The timespan of study range from January 2005 to August 2015. The results states positive long run relationship between Stock Index and CPI, Money supply and oil prices. The negative long run relationship is found between stock returns and Exchange Rate, Foreign exchange reserve, Gold prices and Interest rate. However the results of Foreign Direct Investment, Index of industrial production, Imports and Exports are found insignificant for Johansen’s Co-integration. The Granger causality results states that causality runs from exchange rate to Index to FDI, Foreign exchange reserve, interest rate and exports. The only bidirectional causality is found between Crude oil prices and Index. To conclude, Stock index shows short and long run relationship with macroeconomic indicators and these can be used to predict each other. Keywords: Johansen’s Co-integration test, Granger Causality test, Karachi Stock exchange, Macroeconomic Variables
Agricultural Economics and Interdisciplinary Work

Before getting to the main substance of this paper, I’d like to express my gratitude to the Southern Agricultural Economics Association for the honor of receiving the Lifetime Achievement award. Throughout my career, I’ve enjoyed the support of the Association and would encourage all folks beginning their careers to stay connected to our professional organizations. In addition to outlets for research, the professional associations provide opportunities for informal information exchange, service, and networking. I’d also like to thank colleagues both within the agricultural economics profession and outside it and my students past and present for making my career rewarding. I’d especially like to thank Dr. James Richardson, my one-time dissertation advisor and long-time mentor and friend, for giving me the foundation to conduct and publish applied research. Additionally, I would like to thank Dr. Ron Kay, from whom I learned a great deal about teaching during that long-ago year I spent as his teaching assistant. Teaching has proven to be one of the most rewarding and also one of the most challenging aspects of my career, and I was immensely thankful to have come to my job at Auburn having benefited from my association with a master teacher.