Miracle-dz/UniFAR-FTUs huggingface dataset:
Affective-cognitive consistency of attitude as a moderator of the job satisfaction-performance relationship

Past research has often shown that job satisfaction and job performance are uncorrelated. The current study was an attempt to clarify the relationship by examining the role of affective-cognitive consistency (ACC) to test whether attitudinal consistency affects the strength of the relationship. A secondary objective was to assess whether modified versions of the Overall Job Satisfaction Scale (OJS) and the Minnesota Satisfaction Questionnaire (MSQ), administered to 166 full-time employees from a variety of companies, may be regarded as affective and cognitive measures of job satisfaction respectively. This view was supported by means of exploratory and confirmatory factor analytic results. Overall job satisfaction was measured by a composite of the modified OJS and MSQ, and job performance was rated on a 10-point scale by the employees’ supervisors. Respondents’ scores on the modified OJS and MSQ were then used to form groups that were high or low in ACC. For employees who displayed high ACC regarding their job satisfaction attitudes, medium to large positive correlations between the job satisfaction measures and performance were obtained. In contrast, non-significant correlations were recorded for the low ACC groups. The hypothesis that ACC is a significant moderator of the relationship between job satisfaction and job performance was therefore supported. OPSOMMING Vorige navorsing het dikwels getoon dat werktevredenheid en werkprestasie nie korreleer nie. Die ondersoek was ’n poging om lig te werp op hierdie verwantskap deur die rol van affektiewe-kognitiewe konsekwentheid (AKK) te ondersoek ten einde te toets of houdingkonsekwentheid die sterkte van die verwantskap beinvloed. ’n Sekondere doelwit was om te bepaal of gewysigde weergawes van die Overall Job Satisfaction Scale (OJS) en die Minnesota Satisfaction Questionnaire (MSQ), toegepas op 166 voltydse werknemers van ’n verskeidenheid ondernemings, as affektiewe en kognitiewe metings van werktevredenheid respektiewelik, beskou kan word. Hierdie beskouing is ondersteun deur ondersoekende en bevestigende faktoranalitiese resultate. Algemene werktevredenheid is gemeet deur ’n kombinasie van die gewysigde OJS en MSQ en werkprestasie is beoordeel op ’n 10-punt skaal deur die werknemers se toesighouers. Respondente se tellings op die gewysigde OJS en MSQ is hierna gebruik om groepe te vorm wat hoog of laag in terme van AKK was. Vir werknemers met hoe AKK betreffende hul werktevredenheidhoudings is medium tot hoe positiewe korrelasies tussen die werktevredenheidmetings en prestasie behaal. In kontras hiermee is onbetekenisvolle korrelasies vir die lae AKK-groepe aangeteken. Die hipotese dat AKK ’n beduidende moderator van die verwantskap tussem werktevredenheid en werkprestasie is, is dus ondersteun.
BLAZARS IN THE FERMI ERA: THE OVRO 40 m TELESCOPE MONITORING PROGRAM

The Large Area Telescope (LAT) aboard the Fermi Gamma-ray Space Telescope provides an unprecedented opportunity to study gamma-ray blazars. To capitalize on this opportunity, beginning in late 2007, about a year before the start of LAT science operations, we began a large-scale, fast-cadence 15 GHz radio monitoring program with the 40 m telescope at the Owens Valley Radio Observatory. This program began with the 1158 northern (δ > −20°) sources from the Candidate Gamma-ray Blazar Survey and now encompasses over 1500 sources, each observed twice per week with about 4 mJy (minimum) and 3% (typical) uncertainty. Here, we describe this monitoring program and our methods, and present radio light curves from the first two years (2008 and 2009). As a first application, we combine these data with a novel measure of light curve variability amplitude, the intrinsic modulation index, through a likelihood analysis to examine the variability properties of subpopulations of our sample. We demonstrate that, with high significance (6σ), gamma-ray-loud blazars detected by the LAT during its first 11 months of operation vary with almost a factor of two greater amplitude than do the gamma-ray-quiet blazars in our sample. We also find a significant (3σ) difference between variability amplitude in BL Lacertae objects and flat-spectrum radio quasars (FSRQs), with the former exhibiting larger variability amplitudes. Finally, low-redshift (z < 1) FSRQs are found to vary more strongly than high-redshift FSRQs, with 3σ significance. These findings represent an important step toward understanding why some blazars emit gamma-rays while others, with apparently similar properties, remain silent.
Electronic structure, phase stability, and cohesive properties of Ti 2 X Al ( X = N b , V , Zr )

The self-consistent tight-binding linear muffin-tin orbital method was employed to calculate the electronic structure and the total energy of ${\mathrm{Ti}}_{2}X\mathrm{Al}$ $(X=\mathrm{N}\mathrm{b},\mathrm{}\mathrm{V},\mathrm{}\mathrm{Zr})$ in $B2,$ ${D0}_{19},$ and O (orthorhombic) phases and the results were used to study the phase stability and cohesive properties of these intermetallic compounds. Our theoretical calculation shows that the $B2$ phase is the most stable phase of ${\mathrm{Ti}}_{2}\mathrm{NbAl}$ as observed by experimentalists. However, the three phases are close in energy indicating the possibility of the presence of all these phases in equilibrium over a range of temperatures, which is in accordance with experimental observations. Our calculations predict that ${\mathrm{Ti}}_{2}\mathrm{VAl}$ is more stable in the $B2$ phase whereas ${\mathrm{Ti}}_{2}\mathrm{ZrAl}$ is more stable in the ${D0}_{19}$ phase. We also report the calculated equilibrium lattice parameters, cohesive energies, heats of formation, and bulk modulii of these systems, and a possible comparison of the calculated quantities with the available experimental data is made. From our studies we are made to conclude that the concept of pseudogaps which has been very much emphasized for binary intermetallics does not carry so much significance with respect to ternary systems.
Behavior Change-a summary of four major theories : Health Belief Model AlDS Risk Reduction Model Stages of Change Theory of Reasoned Action

Introduction How does behavior change occur? This question probably has as many answers as there are diverse populations and cultures. Every HIV prevention program, however, is based on those answers -theories about why people change their behaviors. These underlying principles may not be formally recognized as theories, but they focus HIV prevention efforts on the elements believed to be essential for individuals to enact and sustain behavior change.
MULTI-LEVEL BANDWIDTH EFFICIENT BLOCK MODULATION CODES Technical Report to NASA

In this paper, we investigate the multi-levd technique for combining block coding and modulation. The paper consists of four parts. In the first part, we present a formulation for signal sets on which modulation codes are to be constructed. Distance measures on a signal set are defined and their properties are developed. In the second part, we present a general formulation for multilevel mod_ation codes in terms of component codes with appropiate Euclidean distances. The distance properties, Euclidean weight distribution and linear structure of multidevd modulation codes are investigated. In the third part, several specific methods for constructing multi-level block modulation codes with interdependency among component codes are proposed. Given a multi-level block modulation code C with no interdependency among the binary component codes, the proposed methods give a multi-level block modulation code C _ which has the same rate as C, a minimum squared Euclidean distance not less than that of code C, a trellis diagram with the same number of states as that of C and a smaller number of nearest neighbor codewords than that of C. In the last part, error performance of block modulation codes is analyzed for an AWGN channel based on soft-decision maximum likelihood decoding. Error probabilities of some specific codes are evaluated based on their Euclidean weight distributions and simulation results.
Electric Propulsion Applied for Research Vessel

In the present work a research boat or specifically for geography was developed where the electric propulsion was chosen, for the reason that advantages of electric propulsion in this type of vessel. The dimension the power necessary to propulsion the ship is necessary to account the wholly weight of the ship and her navigation velocity. In this work the weight of the every part of the ship were considerate, as: electric equipment, mechanic equipment, hull structure, and crane, etc. Then the preliminary design of the hydrographic boat was developed where a group of the three engineers was constituted for realize this work.
A Trainable Algorithm for Summarizing News Stories

This work proposes a trainable system for summarizing news and obtaining an approximate argumentative structure of the source text. To achieve these goals we use several techniques and heuristics, such as detecting the main concepts in the text, connectivity between sentences, occurrence of proper nouns, anaphors, discourse markers and a binary-tree representation (due to the use of an agglomerative clustering algorithm). The proposed system was evaluated on a set of 800 documents.
An Informational Theoretical Approach to the Entropy of Liquids and Solutions

It is well known that the statistical mechanical theory of liquids has been lagging far behind the theory of either gases or solids, See for examples: Ben-Naim (2006), Fisher (1964), Guggenheim (1952) Hansen and McDonald (1976), Hill (1956), Temperley, Rowlinson and Rushbrooke (1968), O’Connell (1971). Information theory was recently used to derive and interpret the entropy of an ideal gas of simple particles (i.e., non-interacting and structure-less particles). Starting with Shannon’s measure of information (SMI), one can derive the entropy function of an ideal gas, the same function as derived by Sackur (1911) and Tetrode (1912). The new deviation of the same entropy function, based on SMI, has several advantages, as listed in Ben-Naim (2008, 2017). Here we mention two: First, it provides a simple interpretation of the various terms in this entropy function. Second, and more important for our purpose, this derivation may be extended to any system of interacting particles including liquids and solutions. The main idea is that once one adds intermolecular interactions between the particles, one also adds correlations between the particles. These correlations may be cast in terms of mutual information (MI). Hence, we can start with the informational theoretical interpretation of the entropy of an ideal gas. Then, we add correction due to correlations in the form of MI between the locations of the particles. This process preserves the interpretation of the entropy of liquids and solutions in terms of a measure of information (or as an average uncertainty about the locations of the particles). It is well known that the entropy of liquids, any liquids for that matter, is lower than the entropy of a gas. Traditionally, this fact is interpreted in terms of order-disorder. The lower entropy of the liquid is interpreted in terms of higher degree of order compared with that of the gas. However, unlike the transition from a solid to either a liquid, or to a gaseous phase where the order-disorder interpretation works well, the same interpretation would not work for the liquid-gas transition. It is hard, if not impossible, to argue that the liquid phase is more “ordered” than the gaseous phase. In this article, we interpret the lower entropy of liquids in terms of SMI. One outstanding liquid known to be a structured liquid, is water, according to Ben-Naim (2009, 2011). In addition, heavy water, as well as aqueous solutions of simple solutes such as argon or methane, will be discussed in this article.
1 Applications of metals for bone regeneration 2

The regeneration of bone tissue is a main purpose of most therapies in dental medicine. 19 For bone regeneration, calcium phosphate (CaP)-based substitute materials based on natural (allo20 and xenografts) and synthetic origins (alloplastic materials) are applied for guiding the regeneration 21 processes. The optimal bone substitute has to act as a substrate for bone ingrowth into a defect, 22 while it should be resorbed even in the time frame needed for complete regeneration up to the 23 condition of restitution ad integrum. In this context, the modes of action of CaP-based substitute 24 materials have been frequently investigated and it has been shown that such materials strongly 25 influence regenerative processes such as osteoblast growth or differentiation and also on osteoclastic 26 resorption due to different physicochemical properties of the materials. However, the material 27 characteristics needed for the required ratio between the formation of new bone tissue and material 28 degradation has not been found until now. The addition of different substances such as collagen or 29 growth factors and also of different cell types have already been tested but did not allow for 30 sufficient or prompt application. Moreover, metals or metal ions are differently used as basis or as 31 supplement for different materials in the field of bone regeneration. Moreover, it has already been 32 shown that different metal ions are integral components of bone tissue playing functional roles in 33 the physiological cellular environment as well as in the course of bone healing. The present review 34 focuses on frequently used metals as integral parts of materials designated for bone regeneration 35 with the aim to give an overview of currently existing knowledge about the effects of metals in the 36 field of bone regeneration. 37
Vacutainer Anaerobic Specimen Collector ( Becton Dickinson Vacutainer Systems

As part of a longitudinal study of the relationship between bacterial colonization and the secretory immune response, 367 isolates of pioneer viridans streptococci collected from 40 breastand bottle-fed neonates within the first month postpartum were tested for the production of immunoglobulin Al (IgAl) protease and glycosidases. Fifty percent of the streptococci isolated produced IgAl protease, including all isolates of Streptococcus oralis and S. sanguis, 60.7% of S. mitis biovar 1 isolates, and some isolates that could not be identified. Three cleavage patterns of oil heavy chains were observed. Six isolates of S. mitis biovar 1 that did not produce IgAl protease attacked the oxl chain. Incubation of IgAl protease-negative S. mitis biovar 1 isolates with IgAl, either prior to or together with S. sanguis, rendered the IgAl paraprotein resistant to cleavage by the IgAl protease of S. sanguis. The ability of some pioneer streptococci in the human oral cavity to produce IgAl protease and of others to modify the susceptibility of IgAl to cleavage by IgAl protease perhaps enhances their ability to survive in this habitat.
Pengantar Ilmu Pendidikan

Buku ini ditulis dengan maksud sebagai buku pegangan bagi calon guru di bidang kependidikan guna memiliki wawasan tentang kependidikan. Dalam buku ini dibahas mengenai arti pendidikan dan batas-batas pendidikan, pendidikan sebagai ilmu, pendidikan sebagai sistem, asas dan dasar pendidikan, fungsi dan tujuan pendidikan, peserta didik, pendidik, isi pendidikan, metode pendidikan, alat pendidikan, lingkungan sekitar dan lingkungan pendidikan, latar belakang, wadah dan ragam pendidikan sepanjang hayat, perbedaan program pendidikan sepanjang hayat antara negara berkembang dengan negara maju atau negara industri, pembaharuan pendidikan dan latar belakangnya, memasukkan dan memasyarakatkan pembaharuan pendidikan.
Gaussian Process Models for Analysis of Remotely Sensed Geo-Spatial Data

Alistair S. Reid Doctor of Philosophy The University of Sydney March 2011 Gaussian Process Models for Analysis of Remotely Sensed Geo-Spatial Data Remote sensing technologies provide an effective source of data to study geo-spatial problems in fields such as ecology, meteorology or geology. In the current literature, the study of a geo-spatial process is typically approached by classifying the pixels of hyper-spectral images acquired by satellites and high altitude aircraft. This thesis is motivated by the need to add new modalities of geospatial data acquired by a low flying robotic aircraft into the spatial analysis, in order to maximise the scientific value of its high resolution, three channel image data. This has led to the exploration of two underlying problems. Firstly, a principled fusion method was sought to exploit the complementary spatial resolution of the UAV data and the spectral resolution of other available data modalities in order to synthesise an accurate, high quality reconstructed image of attributes that the UAV was unable to observe. This has been approached as a general multimodal image fusion problem, which requires a fusion framework to analyse the spatial relationships between observations from different sensors, as well as the dependence between spectral bands of different wavelengths. Secondly, the problem of classifying different features of interest directly from the new UAV data has been explored. With only colour spectral bands, a vision based classification approach must rely on other descriptors such as texture to discriminate between features. The recognition of natural features based on these features can pose a difficult perception problem, motivating the search for an efficient Bayesian multi-class classifier to model the data. Gaussian process (GP) models are a popular framework for Bayesian inference using both spatial point-data, and supervised classification data. GP models are fully statistical, have a principled marginal likelihood learning criterion, and are able to use flexible covariance models to determine the relevance of input data dimensions, rejecting irrelevant information and accommodating noisy signals. The thesis postulates that the GP estimation framework is an appropriate basis for addressing the two
Flexible-wing-based Micro Air Vehicles

This paper documents the development and evaluation of an original flexible-wing-based Micro Air Vehicle (MAV) technology that reduces adverse effects of gusty wind conditions and unsteady aerodynamics, exhibits desirable flight stability, and enhances structural durability. The flexible wing concept has been demonstrated on aircraft with wingspans ranging from 18 inches to 5 inches. Salient features of the flexible-wing-based MAV, including the vehicle concept, flexible wing design, novel fabrication methods, aerodynamic assessment, and flight data analysis are presented. 1. Background Micro air vehicles, or "MAVs", belong to a class of aircraft currently designated with a maximum size of about 6 inches and are capable of operating at speeds of 25 mph or less. The concept is for a small, inexpensive and expendable platform that can be used for missions of surveillance and measurements in s ituations where larger vehicles are not practical. Practical applications of MAVs are becoming more achievable with the ever-decreasing size and weight of the payload components that can include video cameras, chemical sensors, electronics, and communication devices. Only a few years ago the thought of a 6-inch flying machine equipped with a functional video camera was science fiction. Today it is a demonstrated fact. A number of aspects related to MAVs have been investigated (see, e.g., 1-9). It is well known that flight in the Reynolds number range between 10,000 and 100,000, flow separation around an airfoil can lead to sudden increases in drag and loss of efficiency. In nature, one can observe the relationship
Silviculture and management in relation to risk of windthrow in Northern Ireland.

In producing a windthrow risk assessment chart the object has been to provide a rational means of deciding what management principles are best suited to any particular site. The degree of risk predicted refers to damage of the kind that can occur under ordinary circumstances. There are many factors involved in the assessment of wind risk, only some of which are included, and changes in the value of one may alter its relative status with regard to others. Those used are broadly assessed and capable of substantial refinement. For example the gley soil group includes humic gley which is more windthrow prone than gley with a well developed eluviated horizon. Some of the effects are indirect, for example 'geology' combines the effect of land form and exposure, and is also related, by chance, to changing wind speeds over the country. Of the wind itself, its speed, gustiness and turbulence, very little is known, although there are indications that storms may follow a cyclical pattern with 4 or 5 years of high winds being followed by 6 or 7 quieter years, within an 11-year cycle. The guide must be used with this background in mind and results interpreted and applied in the light of local knowledge and experience.
T RANSLATION WITH L ATENT S E-MANTIC OF I MAGE AND T EXT

Although attention-based Neural Machine Translation have achieved great success, attention-mechanism cannot capture the entire meaning of the source sentence because the attention mechanism generates a target word depending heavily on the relevant parts of the source sentence. The report of earlier studies has introduced a latent variable to capture the entire meaning of sentence and achieved improvement on attention-based Neural Machine Translation. We follow this approach and we believe that the capturing meaning of sentence benefits from image information because human beings understand the meaning of language not only from textual information but also from perceptual information such as that gained from vision. As described herein, we propose a neural machine translation model that introduces a continuous latent variable containing an underlying semantic extracted from texts and images. Our model, which can be trained endto-end, requires image information only when training. Experiments conducted with an English–German translation task show that our model outperforms over the baseline.
Compression of raw SAR data using entropy-constrained quantization

For the compression of raw SAR (synthetic aperture radar) data on-board spacecraft, the block adaptive quantization (BAQ) algorithm is often used due to its effectiveness and low implementation complexity. However, the entropy-constrained block adaptive quantization (ECBAQ) algorithm outperforms BAQ with respect to signal-to-quantization-noise-ratio and equals the performance of more complicated methods such as vector quantization and trellis coding variants. ECBAQ can be implemented using an architecture that is essentially not more complicated than that of a BAQ encoder and suitable for high-speed implementations. Moreover, the method features bit rate programmability with non-integer rates. This allows the SAR information throughput to be optimized for different types of applications.