Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamics and 3-axes control of a spacecraft with flexible structures

This paper describes the dynamics and control of a spacecraft with flexible structures in gravitational field. We propose a simple model of the spacecraft. The motion of the model is controlled only by reaction wheels. Focusing especially on the time for damping, the effect of control gains for suppressing the vibrations is examined. The effect of three-axes attitude control of the model at various attitudes in gravitational field is clarified, considering the gravity gradient torques. Simulation results of orbital motion suggest two important conclusions. One is that the orbital periodic vibrations occur due to the reaction wheels at a certain attitude. The other is that the amplitude of the orbital periodic vibrations depends on the control gains for the attitude angles of the rigid body.
Effect of Gender on the Psychological Wellbeing of Nurses in Enugu Metropolis

This study examined Gender as a predictor of psychological wellbeing of Nurses in Enugu Metropolis. The design of the study used is Cohort. The area of the study is Enugu Metropolis. The population of the study is Two hundred and fifty (250) Nurses. The sample and sampling technique used are two hundred and fifty purposively selected. The instruments used to collect data was Warwick Edinburgh Mental Wellbeing scales. This indicated responses from the two hundred and fifty (250) Nurses. The instruments were validated by three experts, two from measurements and evaluation and one from psychology education. ANOVA was used to analyze responses from participants. Results show that gender did not predict psychological wellbeing among Nurses. Result indicated that gender did not predict psychological wellbeing with (β= -0.2, t= -0.31). This clearly agrees with the hypothesis that gender will not significantly predict psychological wellbeing among Nurses. Hence the hypothesis which stated that gender has no significant impact on the psychological wellbeing of nurses in Enugu Metropolis was confirmed. Keywords: Gender, Psychological, Wellbeing, Nurses
Fisheries and stock assessment of shilig, Leuciscus vorax Heckel, 1843 in East Hammar marsh, Southern Iraq

The fisheries and stock assessment of shilig Leuciscus vorax (Aspius vorax) the in East Hammar marsh, which is the first study to assess this species in southern Iraq. A total of 5751 specimens was collected by several fishing gears for a period of January in 2009 until May in 2010. Total lengths of L. vorax were ranged from 3.7 to 55.6 cm was as total length. The species constituted 6.4% from the total catch by seine net and the catch rate ranged from 0.84 kg/hr in May 2009 to 3.33 kg/hr in January 2010 and rate 2.01 kg/hr. The length-weight relationship obtained was W= 0.0068 x L3.0425. The fish stock was assessed by lengths, frequency technique using FiSAT program. Growth, mortality parameters and exploitation rate estimated were: L∞= 65.1 cm, K= 0.22, Z= 0.96, M= 0.5, F= 0.46, E= 0.48, E0.1= 0.411 and Emax= 0.52. Recruitment pattern of the species exhibited single pulse modal contributed 45% of the total recruits for the period April-September with a peak during June-August. The mature individuals of L. vorax were exposed to fishing before the spawning season in Eastern Al-Hammar marsh, because the value Lc (18.3 cm) is lower than Lm (21.5 cm). Therefore, this study suggests increasing the mesh size and regulating the fishing effort.
Study on Online Social Support Behavior towards Emotional Eating

Emotional eating is an increase in impulsive and emotional food intake that occurs in response to negative emotions. Establishing proper eating habits is one of the critical factors in maintaining good health. However, people with emotional eating experience negative emotions such as stress and helplessness, responds with abnormally increased appetite, resulting in overeating or excessive eating behaviors. Emotional eating does not only contributes to obesity, cardiovascular disease, depression, and other physical and mental illnesses, but it also triggers many eating disorders such as nervous anorexia or bulimia nervosa. Therefore, awareness of emotional eating behavior, and immediate and ongoing observation, diagnosis and management by experts are needed. Nowadays, lots of users with certain disorder participate on online communities, seeking for social support. Social support provided on them are found out to be more effective when the social support seeking and providing behavior makes a match. This study aims to establish a basis for providing adequate feedback to users who show emotional eating symptoms in online communities by analyzing the posts and comments of users, and analyzing their interaction patterns regarding social support seeking and providing behavior. To this end, data from /r/loseit, a group of weight-management subgroups of Reddit, were collected to classify posts with emotional eating symptoms, and to analyze social support seeking and providing behavior of users who displayed emotional eating behaviors through LDA Topic Modeling. Based on these analysis, human coding was performed to investigate patterns of social support provided. The analysis found social support seeking patterns, including expressing nega-
An Empirical Comparative Study on Methodologies of Sentimental Analysis

This decade has a rapid growth over the field of data extractions, retrievals, and mining. Sentiment Analysis (SA) is the process of computationally deriving meaning from human-generated textual information. Textual classifications and processing approaches vary as per the methodologies found out till date. The limitations of methodology along with the results of how this can be addressed are an essential insight. Understanding and using the correct method is the important aspect behind the improved and accurate results
Undergraduate Dissertation: Incremental Answer Set Programming

This document presents a series of algorithms for computing the answer sets of an AnsProlog programs. They focus on the efficient calculation of the effect that small changes on a logic program’s rule base have on the programs answer sets rather than computing from no initial knowledge. In application domains where the program is developed or altered in stages and solutions are required for each stage this provides a more efficient approach than recomputing the program completely each time. Also discussed is an implementation of this theory in an interactive answer set computation tool. Finally a discussion of quantitive assessment methods and a qualitative assessment of the algorithms and implementation are presented and future development discussed.
Luminescent Lanthanide Labels

This chapter describes the properties of luminescent lanthanide complexes that can be used in biological solutions for luminescence based labelling applications. The particular photo-physical specifications of this family of luminescent labels will be described, followed by the chemical and physico-chemical requirements necessary to reach high luminescence and good labelling activity. Following these criteria, examples of the literature will be detailed, following a classification based on the chemically activated function used in the labelling process.
Application of Statistical Models to Select Tile Size Minimizing the Execution Time of Parallelized Tiled Loop Nests

: The reduction of software development time is an important practical problem to be dealt with by contemporary computer science. Resolving this problem is an object of research carried out both in scientiﬁc and industrial centres. One of the main areas of this research is compilation. Within compilation, a computer program written in a programming language comprehensible for a man is converted into an executable form comprehensible for a computer. Applying appropriately selected transformations (tiling also known as blocking) during compilation, one can transform a program, written in a given programming language and for a given hardware platform, to various yet semantically equivalent executables which however differ in execution times. The paper presents a statistical model which allows for selecting from semantically equivalent, tiled source code variants of a given program the variants with best anticipated execution times. The paper also demonstrates how the elaborated model can be applied in iterative compilation for shortening software development time.
Model-based gas leakage detection and isolation in a pressurized system via Laguerre spectrum analysis

This paper deals with gas-leakage detection and isolation in a fine coal injection vessel for a blast furnace process. Functions describing the expected time-domain behaviour of different leakages are developed, thus reducing the leakage isolation problem to pattern recognition. In order to lower the computational burden while preserving the essential dynamic behaviour of a leakage, a truncated Laguerre series representation is used. The generalized likelihood ratio method is employed to compare the Laguerre spectrum of the residual with the Laguerre spectra of the predefined typical leakage functions. Tests of the developed algorithm have been successfully performed at SSAB Tunnplat, Lulea.
Cement foam stability : link with cement paste rheological properties

Cement foams advantages compared to normal concrete is their low density, low material need and thermal insulation properties. To better understand how the morphology of the cement foam affects its properties, we create solid cement foam with well controlled structure. This involves two steps: the creation of the fresh cement foam with chosen structure, and the stability of this structure up to cement hardening. Our cement foam fabrication protocol allows us to obtain fresh cement foams samples with very well controlled parameters. For each sample, all the bubbles have the same size, and we can select the content of air, water, cement and surfactant. This technique consists in mixing a well-controlled precursor aqueous foam stabilized by surfactant, with a cement paste prepared separately. First, we study the interaction of surfactants and cement paste. Some surfactants cannot stabilize foam in cement paste highly alkaline solution. Some others, mainly anionic surfactants, adsorb on cement grains surface, which modifies interactions between cement grains and consequently the yield stress of the cement paste. At low surfactant concentration, cement grain surface becomes hydrophobic and yield stress increases due to hydrophobic attraction between cement grains. At high surfactant concentration, adsorbed micelles create a steric repulsion between cement grains and make yield stress of cement paste drop. In a second chapter, we study the effect of bubbles on the yield stress of aerated cement paste. To compare the results with the literature, the measured yield stress is normalized by the yield stress of the suspending cement paste, i.e. taking into account the effect of surfactant. For a surfactant with low affinity to cement grains surface, results are consistent with literature, whereas reduced yield stress is much higher than expected when surfactant strongly adsorb on cement grain surface. This effect is attributed to the change of the bubble surface properties due to the adsorption of hydrophobic cement grains at the air-liquid interface. Then, we focus on cement foam stability, at air content 83%. We first study three series of experiments at given water-to-cement ratio and bubble size. For each series, the yield stress of the cement paste is changed by addition of superplasticizer or high amount of anionic surfactant. Unexpectedly, the best foam stability is obtained for relatively low yield stress. Rheological measurements on the fresh cement foams allowed us to understand this improved stability as a consequence of the reorganization of cement grains into denser packing. In a second part on stability, we study the influence of bubble size, water-to-cement ratio and surfactant content. A stability criterion is defined from the bubble size and the interstitial cement paste yield stress. Eventually, we observe that cement foam structure affects water imbibition velocity and mechanical resistance to compression of hardened cement foams
Currency exchange rate forecasting by error backpropagation

The paper describes a neural network system for forecasting time series and its application to a non-trivial task in forecasting currency exchange rates. The architecture consists of a two-layer backpropagation network with a fixed number of inputs modelling a window moving along the time series in fixed steps to capture the regularities in the underlying data. Several network configurations are described and the results are analysed. The effect of varying the window and step size is also discussed as are the effects of overtraining. The error backpropagation network was trained with currency exchange data for the period 1988-9 on hourly updates. The first 200 trading days were used as the training set and the following three months as the test set. The network is evaluated both for long term forecasting without feedback (i.e. only the forecast prices are used for the remaining trading days) and for short term forecasting with hourly feedback. By careful network design and analysis of the training set, the backpropagation learning procedure is an active way of forecasting time series. The network learns the training set near perfect and shows accurate prediction, making at least 20% profit on the last 60 trading days of 1989. <<ETX>>
Summation Calculations for Reactor Antineutrino Spectra, Decay Heat and Delayed Neutron Fractions Involving New TAGS Data and Evaluated Databases

Three observables of interest for present and future reactors depend on the β decay properties of the fission products: antineutrinos from reactors, the reactor decay heat and delayed neutron emission. In these proceedings, we present new results from summation calculations of the first two quantities quoted above, performed with evolved independent yields coupled with fission product decay data, from various nuclear data bases or models. New TAGS results from the latest experiment of the TAGS collaboration at the JYFL facility of Jyväskylä will be displayed as well as their impact on the antineutrino spectra and the decay heat associated to fission pulses of the main actinides.
An Iterative Insertion Algorithm and a Hybrid Meta Heuristic for the Traveling Salesman Problem with Time Windows

This paper presents a heuristic algorithm for the traveling salesman problem with time windows (TSPTW). An iterative insertion algorithm as a constructive search heuristic and a hybrid meta heuristic combining simulated annealing and tabu search with the randomized selection of 2-interchange and a simple move operator as an improving search heuristic are proposed. Computational tests performed on 400 benchmark problem instances show that the proposed algorithm generates optimal or near-optimal solutions in most cases. New best known heuristic values for many benchmark problem sets were obtained using the proposed approach.
No relation: the mixed blessings of non-relational databases

Dedication To my wife Jill, without whose unending support I most certainly would not be here today. v Acknowledgements I would like to acknowledge the generous support of my many professors at the University of Texas who have given graciously of their time in support of my education and research over the past two years; especially, Professors Daniel Miranker and Adnan Aziz, who advised on this project; and Professors Christine Julien and Joydeep Ghosh, whose courses and research heavily informed the work herein. This paper investigates a new class of database systems loosely referred to as "non-relational databases," which offer a subset of traditional relational database functionality, in exchange for improved scalability, performance, and / or simplicity. We explore the differences in conceptual modeling techniques, and examine both the advantages and limitations of several classes of currently available systems, using running examples of real-world problems as implemented in both a traditional relational database model, as well as several non-relational models. The history of the relational database has been one of continual adversity: initially, many claimed that mathematical set-based models could never be the basis for efficient database implementations; later, aspiring object oriented databases claimed they would remove the "middle man" of relational databases from the OO design and persistence process. In all of these cases, through a combination of sound concepts, elegant implementation, and general applicability, relational databases have become and remained the lingua franca of data storage and manipulation. Most recently, a new contender has arisen to challenge the supremacy of relational databases. Referred to generally as "non-relational databases" (among other names), this class of storage engine seeks to break down the rigidity of the relational model, in exchange for leaner models that can perform and scale at higher levels, using various models (including key / value pairs, sharded arrays, and document-oriented approaches) which can be created and read efficiently as the basic unit of data storage. Primarily, these new technologies have arisen in situations where traditional relational database systems would be extremely challenging to scale to the degree needed for global which regularly collect, store and analyze massive data sets with extremely high transactional throughput and low latency). As of this writing, there exist dozens of variants of this new model, each with different capabilities and trade-offs, but all with the general property that traditional relational design—as practiced on relational database management systems like Oracle, Sybase, etc.—is neither …
Integrated probabilistic data association (IPDA)

A version of the probabilistic data association (PDA) algorithm that is called integrated probabilistic data association (IPDA) is presented. Rather than deriving algorithms based on an assumption of track existence, IPDA starts from expressions which treat track existence as an event with an associated probability. This approach leads to a set of recursive formulae for both data association and probability of track existence or track quality. This is useful in the track initiation phase (to confirm a tentative track) and in track termination (to terminate a false track). The IPDA algorithm is compared with both the probabilistic data association algorithm (PDA) and the interactive multiple model (IMM) PDA algorithm. <<ETX>>
Gender-Based Body Image Perception among College Students

iii ACKNOWLEDGEMENTS . iv LIST OF TABLES.vii LIST OF FIGURES . viii CHAPTER ONE: INTRODUCTION . 1 Problem Statement . 1 Purpose of Study . 3 Research Questions . 3 Significance to Public Health . 4 CHAPTER TWO: LITERATURE REVIEW . 6 Introduction . 6 What is Body Image? 6 Health Outcomes of Negative Body Image. 9 CHAPTER THREE: METHODS . 14 Study Design . 14 Data Source and Collection . 14 Measures and Data Analysis . 15 Ethics.16 CHAPTER FOUR: RESULTS . 17 Ideal Body Image Perceptions for Men.17 Ideal Body Image Perceptions for Women.21 Common Terms Used to Describe Ideal Body Types.28 Body Image Expectations in General.30
Stable neural network control for manipulators

This paper presents a stable neural network control, scheme for manipulators. Cerebellar model articulation (CMAC) or radial basis function (RBF) neural networks are used. The main contribution of this paper is the stability proof of neural network controllers for manipulators. This distinguishes the paper from other work. The results of this paper also have a closer relation to conventional adaptive control. This means that the neural network controller can either work alone if there is no a priori knowledge or work together with conventional adaptive control. Any a priori knowledge can also easily be used to train the neural networks off-line and, therefore, improve the online performance.
Mapping and Characterizing the Green Belt of Córdoba: Land Dynamics and the Urban-Rural Transformation Process

In Córdoba, Argentina, the peri-urban horticulture is in conflict with industrial agriculture and urban development. This problem is partly due to urban expansion to rural areas occurred in the last years and to monoculture farming, which has replaced traditional fruit and vegetable cropping in the region. This transformation process has raised concern about the current and future availability of productive sectors that can sustain food supply within the city boundaries and its immediate surroundings as well as about the loss of ecosystem services associated with peri-urban natural environments. Although these dynamic processes are well known, they have not been described or quantified in Córdoba. Baseline information about land use and its dynamics in productive areas or about number of producers is insufficient and/or out of date. At O-AUPA (Spanish acronym for Observatory of Urban and Peri-urban Agriculture and Agroecology) different mapping strategies are developed to contribute to the understanding of the land dynamics in the Green Belt of Córdoba (GBC) and the rural environments surrounding the city. In this work, we present a method based on the use of remote sensing and geographical information systems to characterize urban, peri-urban and rural areas of Córdoba city with the aim of evaluating the temporal dynamics of urban growth and the current state of land use and cover. We mapped and quantified the urban growth between 1974 and 2014, and evaluated land use in peri-urban and rural areas in 2015. We used satellite information from Landsat TM 5 to map the urban growth via a principal component analysis (PCA) and SPOT 5 imagery to characterize the current land use and land cover with the support vector machine classification algorithm. The results show an urban area growth of 46.5% over almost 40 years within the boundaries of the Capital department. Farm plot size increased, showing a concentration of land ownership, implying a reduced number of producers. Evidence indicates the importance of defining land planning guidelines that limit the advance of the urban frontier to valuable agricultural systems, ensure diversification of productive activities and protect and develop the fresh food production systems at the local level.
An approach to image segmentation using multiresolution analysis of wavelets

Local changes or variations of the intensity of an image (such as edges and corners), are important information for image processing and pattern recognition. Wavelet analysis is one of the most popular techniques that can be used to detect local intensity variation. In this paper, multiresolution analysis of wavelets is used to decompose images into pyramid images. Edges and peaks are extracted from pyramid images. A coarse-to-fine image segmentation method is proposed in this paper.
Adaptive variable structure control and applications to friction compensation

A smooth adaptive control methodology combining the results of a variable structure control scheme and backstepping is proposed for the class of systems in the special strict feedback form. The controller ensures the global asymptotic tracking and regulation of the first /spl kappa/ states which are in a chain of integrators form and globally uniformly bounded tracking for the remaining states. An application of this methodology for the case of friction compensation in drives containing a compliant transmission between the load and the actuator is presented. The friction model considered is a six parameter dynamic model. This problem is significant because the load side friction is mismatched with the control. The advocated controller does not require knowledge of any of the parameters of friction and is shown to give global asymptotic tracking of the load angle and velocity in the presence of dynamic uncertainties. Simulation results indicate the efficacy of the proposed approach.