Miracle-dz/UniFAR-FTUs huggingface dataset:
Complex query processing in multiprocessor database machines

High performance multiprocessor database machines have been made feasible with the advent of cheap, powerful microprocessors and large main memories. However, exploiting these platforms to support high speed complex query processing has lagged behind the hardware technology. The thrust of this dissertation has concentrated on developing strategies for efficiently processing join queries consisting of on the order of 10 joins in a parallel database machine with hundreds of processors. Although the algorithms were developed with a shared-nothing architecture in mind, the algorithms can be applied to shared-memory systems with little modification. For queries that join only a few relations, we have found that the parallel Hybrid hash-join algorithm dominates under most circumstances, except when the join attribute values of the building relation are highly skewed. For multi-way join queries, a subset of the optimization search space of query plans called right-deep query plans is identified as being particularly important in this highly-parallel environment. Several algorithms are proposed for processing right-deep query plans and results from a simulation model are presented that demonstrate that right-deep plans can indeed offer significant performance advantages over the more traditional left-deep plans under many conditions. ftn*This research was partially supported by the Defense Advanced Research Projects Agency under contract N00039-86-C-0578, by the National Science Foundation under grant DCR-8512862, by a DARPA/NASA sponsored Graduate Research Assistantship in Parallel Processing, by a Digital Equipment Corporation External Research Grant, and by a research grant from the Tandem Computer Corporation.
The Analysis of Gene Expression Data: Methods and Software

This book presents practical approaches for the analysis of data from gene expression micro-arrays. It describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences.
INFLUENCE OF PHYSIOLOGICAL FACTORS ON MYCELIAL GROWTH OF BOTRYODIPLODIA THEOBROMAE PAT . , ISOLATED FROM ANNONA MURICATA

Influence of physiological factors on the mycelial growth of Botryodiplodia theobromae Pat. , isolated from Annona muricata was investigated in the Forestry and Environment Laboratory (Pathology unit). The experiment was laid in Completely Randomized Design (CRD) with three replicates. Botryodiplodia theobromae, 0 is the major causal organism of soursop fruit. This fungus grew and sporulated at a room temperature 28 ± 2 C using Potato Dextrose Agar (PDA) culture medium. Maximum pigment formation occurred on PDA (white 95%, black 25%). However, addition of 15g of glucose to Potato Agar Medium (PA) showed minimum pigment formation (white 25%, black 75%). The addition of 10g of glucose into potato agar significantly increased the mycelial growth of B. theobromae (28.6 ± 0.7mm – 32.0 ± 0.4mm). The highest number of pcyndia formed on Potato Agar (PA) without glucose was (10) and 15g of glucose recorded 4 pcyndia. Results revealed that there was no significant difference (P ≥ 0.05) on the growth of test fungus in both continuous light and darkness. These results will be useful for the study of fungi physiology and soursop consumer's awareness on the dangers of infected fruits. It is observed that low population and poor yield in soursop may be due to the influence of deforestation, oil and gas activities within the region. It is recommended that post harvest losses could be reduced through proper handling and storing of fruits to avoid wounds and it consequent infections by B. theobromae.
Designing and implementing a domain-specific language

Apparatus is provided for automatically scanning electronically each well of a multi-well tray containing many liquid samples. A light source, preferably a single source, is passed through the wells to an array of photosensitive cells, one for each well. There is also a calibrating or comparison cell receiving the light. Electronic apparatus reads each cell in sequence, quickly completing the scan without physical movement of any parts. The resultant signals are compared with the signal from the comparison cell and with other signals or stored data and determinations are made and displayed or printed out. Thereby, and by the methods of the invention, such matters as minimum inhibitory concentrations (MIC) of drugs and identification of microorganisms are achieved.
SME Internationalization and Distant Emerging Economies : Exploring the Market Entry Role of Asian Global Cities

This paper suggests a tentative conceptual framework to study the internationalization of foreign/OECD-based SMEs (Small and Medium-sized Enterprises) attracted by fast growing emerging markets, such as China and other Asian economies, and the supportive role of global cities as market gate focal points providing a wide range of financial and non-financial services facilitating emerging market entry. In other words, the hypothesis is that a number of global cities (about 75 cities are classified and ranked as such worldwide) play an important business intermediation role, including vis-à-vis distant and difficult regional emerging markets.
Research Readiness Self-Assessment

Abstract Librarians and learning researchers at Central Michigan University collaboratively developed an online tool that assesses how student research attitudes and perceptions correlate to their actual research skills in order to educate them about state-of-the-art library resources and prepare them to write high-quality research papers. This article describes the reasons for developing the assessment as well as the design process and technical characteristics.
An “ Arms Race ” in Vehicle Purchases : Evidence from Quasi-Random Neighbor Accidents

I analyze a vehicle arms race as a potential contributing factor to the rise in the size of the U.S. vehicle fleet. In order to identify an arms race effect, I analyze salient outcomes in which large vehicles produce in vehicle accidents. Using a difference-in-differences approach, I exploit the quasi-randomness of deaths in fatal accidents to identify changes in household vehicle purchasing behavior. I find that households neighboring an individual who died in an accident respond by purchasing significantly larger and safer vehicles. Exploiting the relationship between the size of the cars involved in the accident and the severity of the outcome, I explore how these weights may impact vehicle adoption through means other than victim fatality. I test for an indirect response by neighbors to the weight of the opposing vehicle involved in the accident. I find that neighbors of those involved in the accident respond to a 1,000 pound increase in opposing vehicle weight by increasing average household weight by up to 20 pounds.
THE EFFECT OF WHOLE BODY VIBRATION TRANING ON EXPLOSIVE POWER AND SPEED IN MALE NON ATHLETE STUDENTS UDC 796 . 015 . 26

Whole body vibration training (WBVT) as a new method of neuromuscular training has been considered and it has been vastly studied as a factor for strong mechanical stimulation in the neural system, bone tissue and muscles. The aim of this study was to investigate the effects of whole body vibration training on the explosive power and speed of male non-athlete students. For this purpose twenty students from the University of Kurdistan (Mean; age: 21/5 ± 1/4 yr, Weight: 71/5 ± 5/5 kg, Height: 174 ± 5/5 cm, BMI: 23/67 ± 1/30) were recruited and randomly divided into an experimental (EG) (n=10) and a control group (CG) (n=10). The EG were treated for four weeks, three session per week with 5 sets of 1 minute in a squat of 110◦ body position, for a total of five minutes per day. The subjects of the CG were asked to maintain their normal activity and avoid strength training. The subjects were tested at the beginning and the end of treatment with a specific functional test. The data were analyzed using SPSS and the Paired-t test statistical method. The results showed a remarkable and statistically significant enhancement in the EG with a 7.8% increase in explosive power (P≤0/002), and there was a significant difference in EG speed (5m: P≤ 0.001, 10m: P≤0.042 and 20m: P≤0.001) at the post-test. But no significant difference was found in the CG for this performance (P≥0.05, P≥0.05). Overall, we can conclude that whole body vibration probably can have an effect on explosive power and speed. Hence, WBVT can be used as a new method of training for athletes.
Fundamentals of Methodology - Part I: Definitions and First Principles

This eight-part series of papers presents a selection of semantic, analytic and metaphysical considerations at the heart of methodology. By 'selection' I mean that they are what a structuralist considers to be its salient and necessary tools and principles - not necessarily those that the broader 'community of scholars' finds companionable. The first paper offers a review of the series followed by analytical definitions featuring - relation, fact, principle, paradigm, methodology and theory. It concludes with a look at some 'first principles' governing paradigmatics. Future numbers treat generally of structures and signs-the metaphysical considerations necessary to paradigmatic analysis. Papers devoted to specific methods include one on frames, another on proverbs and parables. Another treats of interpolation, extrapolation and form-content analysis. Notably missing from this treatment are specialized tools of higher mathematics and formal logic that are the darlings of modern philosophy. They have their place and utility - just not in philosophy.
Outage Analysis of OFDM‐Based Cognitive AF Relay Network in the Presence of Narrowband Interference

Orthogonal frequency‐division multiplexing (OFDM) is one of the most widely used technologies in current wireless communication systems and standards. Cognitive radio (CR) provides a robust solution to the problem of spectrum congestion as it offers opportunistic usage of frequency bands that are not occupied by primary users. Due to the underlying sensing, spectrum shaping, scaling, and interoperable capabilities of OFDM, it has been adapted as a best transmission technology for CR wireless systems. However, the performance of an OFDM‐based CR wireless system is affected by the existence of narrowband interference (NBI) from other users. Further, due to carrier frequency offset in NBI sources, NBI energy may spread over all subcarriers of an OFDM signal. In this paper, a fixed Amplify‐and‐Forward (AF) relay that operates at a frequency band that is different from that of direct mode is introduced to suppress the effect of NBI. Analytical expressions are derived for outage probability in direct, AF‐relay, and incremental relaying modes. The outage performance of the proposed AF relay–based CR network is proven to be better than that of direct mode.
KNOWLEDGE DISCOVERY IN ARTIFICIAL NEURAL NETWORKS AND REGRESSION MODELS

In this paper, Artificial Neural Networks (ANN) and Regression Analysis models were considered to determine which ofthem performs better. Prediction was done using one hidden layer and three processing elements in the ANN model.Furthermore, prediction was done using regression analysis. The parameters of regression model were estimated using LeastSquare method. To determine the better prediction, mean square errors (MSE) attached to ANN and regression models wereused. Seven real series were fitted and predicted with in both models. It was found out that the mean square error attached to ANNmodel was smaller than regression model which made ANN a better model in prediction.Keywords: Artificial Neural Networks, Regression, Least Square, Processing Element, Hidden Layer, Mean Square Error.
Comparison Between SVM & Other Classifiers For SER

In this paper we approach to speech emotion recognition using support vector machine. Speech emotion recognition play important role in the field of Human Computer Interaction with wide range of application. To recognize the emotion from audio signal, many systems have been developed. The different classifier which is used for speech emotion recognition is reviewed in this paper. Emotion recognition is totally depends on speaker & utterance (Phrase). The support vector machine is used as classifier to classify different emotions such as anger, happiness, sadness, neutral & fear. The features extracting from these speech are the energy, pitch, linear prediction cepstrum coefficient (LPC), Mel frequency cepstrum coefficients (MFCC). This paper approaches towards the effectiveness, accuracy, simplicity of SVM classifier for designing the real time speech emotion recognition system.
A COMPARISON OF UNCERTAINTY AND SENSITIVITY ANALYSIS TECHNIQUES FOR COMPUTER MODELS

Uncertainty analysis and sensitivity analysis are important elements in the development and implementation of computer models for complex processes. Typically, there are many uncertainties associated with both the development and the application of such models. Understanding of these uncertainties and their causes is required to effectively interpret model behavior. Many different techniques have been proposed for performing uncertainty and sensitivity analyses. The objective of the present study is to compare several widely used techniques on three models having large uncertainties and varying degrees of complexity in order to highlight some of the problem areas that must be addressed in actual applications. The following approaches to uncertainty and sensitivity analysis are considered: (1) response surface methodology based on input determined from a fractional factorial design, (2) Latin hypercube sampling with and without regression analysis, and (3) differential analysis. These techniques are compared on the basis of (1) ease of implementation, (2) flexibility, (3) estimation of the cumulative distribution function of the output, and (4) adaptability to different methods of sensitivity analysis. With respect to these criteria, the technique using Latin hypercube sampling and regression analysis gives the best results overall. The models used in the comparisons are well documented, thus makingmore » it possible for researchers to make comparisons of other techniques with the results in this study. « less
UWB Cognitive Radios

In this chapter we present UWB communication as a potential candidate for cognitive radio technology. Cognitive radios are intelligent radios that could adopt itself by sensing and learning the radio environment and optimize its transmission strategies to maximize the utilization of the scarce radio resources such as the radio spectrum. This has been motivated by the radio regulatory bodies around the world (EC, 2007; FCC, 2003) to utilize unused radio spectrum known as white space in the spatio-temporal domain. In the recent years UWB communication has emerged as a potential candidate for the CR technology due to its ability to share the spectrum with others for short range wireless communications. In this context we present the concept of cognitive radios and the necessary techniques to adopt UWB as cognitive radios in this chapter. Especially, we enhance on the fundamentals of cognitive radios and spectrum sensing which enable the UWB radio to learn the radio environment. We also touch upon other cognitive radio related topics that are related to UWB communications such as dynamic spectrum access, interference mitigation and localization techniques. Furthermore, we present some potential applications for the use of UWB based cognitive radios which are derived from the European Union funded projects EUWB (EUWB, 2008) which is one of the biggest UWB projects that the world has seen so far, and the C2POWER project (C2POWER, 2010) which is related to energy efficiency in short range wireless communications with the use of cognitive radios. In this chapter we do not consider the technological aspects related to the use of cognitive radios for energy efficiency but only consider the use of cognitive radios for dynamic spectrum access. However, at the end of the chapter we present a scenario for the use of cognitive radios for energy efficiency derived from (C2POWER, 2010). In the material presented in this chapter we mainly consider the high data rate UWB radios based on the Multi-Band Orthogonal Frequency Division Multiplexing (MB-OFDM) technique following the Wimedia specifications (Wimedia-PHY, 2009). The OFDM based transceiver design makes it feasible for the UWB radio to sense the radio environment and dynamically change the transmission parameters accordingly. This makes the UWB 11
How Collaborative Innovation and Technology in Educational Ecosystem Can Meet the Challenges Raised by the 4 th Industrial Revolution

It is commonly agreed and extensively discussed nowadays that we are standing in front of a revolution, the 4 Industrial Revolution, that is significantly changing the way that we live, work and relate to one another. In this new and challenging era, the experts call for leaders and citizens to “together shape a future that works for all by putting people first, empowering them and constantly reminding ourselves that all of these new technologies are first and foremost tools made by people for people. ” (Schwab, 2016a). These new technologies that feature the 4 Industrial Revolution are blending a variety of domains coming from the physical, digital and biological/science worlds, affecting all the areas of economy and industry. How Collaborative Innovation and Technology in Educational Ecosystem Can Meet the Challenges Raised by the 4th Industrial Revolution
SOME STRUCTURAL POINTS OF NON-LINEAR HRV ANALYSIS REVISITED

In this paper we analyze the heart rate signal and compute the correlation dimension that is required so that we may describe it as a result of a non linear and complex process. We present our results which, although coherent with other methods, are unique in their application as well as in their acquisition. The basic analysis tool used here is the Method of Delays (MOD), for which we show that the use of the Euclidean norm, as opposed to the commonly used infinity norm, produces better results. We also use the False Nearest Neighbors and the Approximate Entropy methods. Finally, we address certain aspects of data acquisition that may not be receiving the attention we believe they deserve. The above methods are applied with the process we propose to a group of long-term ECG recordings demonstrating coronary pathology and another group where the ECGs appear normal, showing no sign of coronary artery disease. All of the above applications, when used carefully and as illustrated in our work, produce clear and clinically significant results.
Uniform , dynamic and discriminatory pricing

Although the theoretical literature has provided strong reasons why airlines in practice use fare distributions to manage their flights’ yield, the economic empirical analysis has only just begun to address the implications that such pricing approach has on the dynamics of fares. We denote as ‘uniform pricing’ the time spell during which a fare distribution remains unaltered. The data indicate that the mean duration of uniform pricing spells ranges between 20 and 42 hours during the last fortnight of the booking period; a flight’s load factor, and its rate of variation, negatively and positively impact on spells’ duration. Overall, no support is found for the assumption that airlines adjust fares instantaneously. ‘Dynamic pricing’ identifies the airline’s decision to end the spell by revising the distributions by pushing some seats’ fares either up or down. ‘Discriminatory pricing’ is represented by those instances of ‘dynamic pricing’ where seats’ fares are exclusively increased. JEL Classification: D22, L11, L93.
Single Pass Algorithm for Text Clustering by Encoding Documents into Tables

This research proposes a modified version of single pass algorithm specialized for text clustering. Encoding documents into numerical vectors for using the traditional version of single pass algorithm causes the two main problems: huge dimensionality and sparse distribution. Therefore, in order to address the two problems, this research modifies the single pass algorithm into its version where documents are encoded into not numerical vectors but other forms. in the proposed version, documents are mapped into tables and the operation on two tables is defined for using the single pass algorithm. The goal of this research is to improve the performance of single pass algorithm for text clustering by modifying it into the specialized version.
variability on structural health monitoring Effects of environmental and operational

References html#ref-list-1 http://rsta.royalsocietypublishing. org/content/365/1851/539.full. This article cites 23 articles Rapid response 1851/539 http://rsta.royalsocietypublishing. org/letters/submit/roypta;365/ Respond to this article Email alerting service here in the box at the top right-hand corner of the article or click Receive free email alerts when new articles cite this article sign up
Effect of Drying Methods on Some Chemical Characteristics of Hazelnuts (Corylus avellana L.) During Storage

This study was conducted to determine the effects of different drying methods of sun-dried (grass and concrete ground) machine drying on chemical properties of Levant quality hazelnut in coastal region (Ordu, Turkey) during storage. In conventional drying, only solar energy was used and the drying time was about 50-58 h (concrete ground and grass ground, respectively), and in the drying machine it lasted about 30 h. After the drying and storage time, while the highest rancimat value (5.73 h) and the lowest peroxide value (0.27 meqO 2 kg) were found in the drying machine and the concrete ground gave the lowest free fatty acid (0.04 %). At the end of the storage period, the lowest free fatty acid and peroxide value were determined on concrete ground (0.29 %) and on drying machine (0.00 meqO 2 kg), respectively. In addition, total aflatoksin and aflatoxin B 1 were not detected in any drying methods during storage. As a result, the drying machine was more effective than the other two drying methods for nut quality and preservation. In addition, it has been observed that hazelnuts can be stored for 24 months without significant change in nut quality in room conditions.