Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Demographic Characteristics towards Emotional Burnout among Public School Teachers in Punjab

This study addressed the phenomenon of teachers’ burnout in its three dimensions explaining emotional exhaustion (EE), depersonalization (DP) and lack of personal accomplishment (PA) (Maslach, Schaufeli, & Leiter, 2001). The knowledge about status of teachers’ burnout in response to the demographic variables is important to improve learning conditions at classroom level as well as to advance school environment. The contribution of demographic variables (age, experience, marital status, gender, locale, qualification, job status, job rank, level of school) on the way of exploring burnout rate of teachers on job has been reported in this study. It was a descriptive cross-sectional study conducted in the district of Punjab by employing a sample of 1688 (Males=957; Females=731) school teachers using multi-stage sampling. Emotional burnout scale (α=.89) was administered along a list of demographic variables to meet the study objectives. Descriptive (Mean and SD) and Inferential statistics (t-test, and ANOVA) were used to know the difference among study variables. The results showed significant differences of age and experience on three dimensions of burnout. Gender, marital status, locale and qualification were significant to three dimensions of burnout differently whereas job status, job rank, and level of school were not found significantly contributing variables to all dimensions of burnout. The demographic variables, investigated in this study, were not conclusively determinants of burnout but in interaction with other factors might be contributive in augmenting burnout. Some recommendations such as to allocate the job tasks while keeping harmony between characteristics and skills of teachers were made in light of the findings of current study.
Estimating the Effects of Part Size on Direct Laser Deposition Parameter Selection via a Thermal Resistance Network Approach

A mathematical model for heat transfer during the Directed Energy Deposition (DED) process is proposed. The model employs the thermal resistance network analogy and is developed to aid one in predicting part size effects on its temperature distribution during manufacture, and in how to compensate such effects via suitable process parameter selection. The model predicts a pseudo steady-state temperature response in the melt pool. The temperature variation along the heat affected zone of a thin-walled part is estimated while assuming deposition is occurring far from the substrate. Predicted melt pool and bulk part temperatures are validated against Laser Engineering Net Shaping (LENS) experimental data obtained via a dual-wavelength pyrometer and in-chamber infrared camera, respectively. Results demonstrate that the model may be used to predict an average melt pool temperature. Bulk, calculated temperature distribution needs to be further investigated to find a more suitable heat transfer coefficient surrounding the part.
Informe de Posicionamiento Terapéutico de insulina degludec/liraglutida (Xultophy®) en diabetes mellitus tipo 2

Un control metabólico deficitario se asocia a un aumento de las complicaciones crónicas, a un aumento de la mortalidad prematura, siendo además una de las primeras causas de ceguera, tratamiento sustitutivo renal (diálisis/trasplante) y amputación no traumática en la población activa de los países occidentales. El tratamiento precoz y multifactorial de la hiperglucemia y del riesgo cardiovascular retrasa la aparición de complicaciones crónicas y mejora la calidad y esperanza de vida de los pacientes con DM (3).
Negation in Ekwulobia Igbo Chibunma Amara Ezenwafor

The category „Negation‟ is universal. Though universal, its operation varies in different languages. In the Igbo language, it is a rich morpho-syntactic process and equally varies from one dialect of Igbo to another. Adopting a descriptive frame work, the researcher, observes the operation of the category „NEG‟ in the Ekwulobia Igbo in relation to standard Igbo and other Igboid lects, where necessary. It is observed that the tonal behaviour of negation in Ekwulobia, is quite same with that of the standard Igbo. The difference is observed in the negation marking suffix. In the Ekwulobia Igbo, the standard form of negation is the suffixation of the negation marking suffix „-hv‟ (where v harmonizes strictly to the vowel of the verb root) and the harmonizing open vowel prefix „a-/e-‟ when the accompanying NP is a noun or 3pl pronominal. Some negation marking suffix like: „-ha‟, suffixed to an aux. „na‟, „-he‟, suffixed to an aux. „jè‟, the suffix „-bèhè‟ are used for other forms of negation, while a periphrastic negation marker „mehē‟ is observed in constituent negation. All these negation marking suffixes in the Ekwulobia Igbo differ from that of the standard Igbo and other Igboid lects.
Abbreviations ATF Artificial transcription factor ChIP Chromatin immunoprecipitation CpG Cytosine – phosphate – guanine CRISPRs Clustered regulatory interspaced palindromic repeats

Citation for published version (APA): Stolzenburg, S. , Goubert, D. , & Rots, M. G. (2016). Rewriting DNA Methylation Signatures at Will: The Curable Genome Within Reach? In A. Jeltsch, & R. Z. Jurkowska (Eds.), DNA Methyltransferases: Role and Function (Vol. 945, pp. 475-490). (Advances in Experimental Medicine and Biology; Vol. 945). Springer International Publishing. https://doi.org/10.1007/978-3-319-43624-1_17
An analog integrated speech front-end based on the auditory periphery

The authors present an analog CMOS integrated circuit realization of an auditory periphery model which includes the middle ear, the basilar membrane, and the hair cells/synapses. With speech input, the pattern of the multichannel outputs resembles the neurogram of the auditory nerve fibers, i.e. the time-varying instantaneous firing rates of fibers having different characteristic frequencies. This real-time low-power-dissipation speech preprocessor can be used as the front-end to practical speech processing and recognition systems. <<ETX>>
Exploring the Quadrupedal Asymmetrical Gaits

Introduction Animals in nature adopt a large number of gaits at varying forward speeds to minimize their energy expenditure. In the quadrupedal asymmetrical gaits bounding and galloping, the front and hind leg pairs move together and touch the ground either at the same time (bounding) or in a quick succession (galloping). The gait is termed as halfbound if a lead only occurs in the fore footfalls; and crutch-walk if the lead only happens in the hind leg pair [1]. The exact footfall pattern, however, tends to differ from animal to animal. Cheetahs and greyhounds, for example, exhibit two aerial phases within one stride, whereas hopping weasels and deer usually have only one flight phase [1]. Furthermore, the flight phase can occur either after the front leg pair is in contact or after the hind leg pair is in contact [2]. Sometimes gazelles also pronk ; that is, all four legs hit and leave the ground at exactly the same time, yielding yet another contact sequence [3]. According to the previous work on legged locomotion, when these animals are scaled by their body mass, leg length and gravity, they should share similar dynamic behaviors. Alexander et al. [4] found that quadrupedal animals prefer to use the same gait at identical Froude numbers and they also found that various mammals change from symmetrical gaits to asymmetrical gaits at Froude number near 2 or 3. Nevertheless, it is not clear why there are so many asymmetrical gaits in quadrupedal animals and why certain animals choose to use a particular type of asymmetrical gait while a lot more similar options are available.
Literature Review: Health Issues of Government Assisted Refugees (GARS) In Canada

Government Assisted Refugees (GARs) are refugees who are usually sponsored by the government of Canada and supported by our Refugee and Humanitarian Resettlement Program. This literature review, commissioned by Access Alliance Multicultural Health and Community Services, aimed to identify and document best practices in the delivery of inter-professional care to GARs, to contribute to the literature on initial medical assessments processes for refugees and immigrants and inform the development of national and provincial strategies and standards and guidelines for the delivery of health services to GARs.
The Food Service Industry Environment: Market Volatility Analysis

In their dialogue entitled The Food Service Industry Environment: Market Volatility Analysis by Alex F. De Noble, Assistant Professor of Management, San Diego State University and Michael D. Olsen, Associate Professor and Director, Division of Hotel, Restaurant & Institutional Management at Virginia Polytechnic Institute and State University, De Noble and Olson preface the discussion by saying: “Hospitality executives, as a whole, do not believe they exist in a volatile environment and spend little time or effort in assessing how current and future activity in the environment will affect their success or failure. The authors highlight potential differences that may exist between executives' perceptions and objective indicators of environmental volatility within the hospitality industry and suggest that executives change these perceptions by incorporating the assumption of a much more dynamic environment into their future strategic planning efforts. Objective, empirical evidence of the dynamic nature of the hospitality environment is presented and compared to several studies pertaining to environmental perceptions of the industry. ” That weighty thesis statement presumes that hospitality executives/managers do not fully comprehend the environment in which they operate. The authors provide a contrast, which conventional wisdom would seem to support and satisfy. “Broadly speaking, the operating environment of an organization is represented by its task domain,” say the authors. “This task domain consists of such elements as a firm's customers, suppliers, competitors, and regulatory groups. ” These are dynamic actors and the underpinnings of change, say the authors by way of citation. “The most difficult aspect for management in this regard tends to be the development of a proper definition of the environment of their particular firm. Being able to precisely define who the customers, competitors, suppliers, and regulatory groups are within the environment of the firm is no easy task, yet is imperative if proper planning is to occur,” De Noble and Olson further contribute to support their thesis statement. The article is bloated, and that’s not necessarily a bad thing, with tables both survey and empirically driven, to illustrate market volatility. One such table is the Bates and Eldredge outline; Table-6 in the article. “This comprehensive outline.should prove to be useful to most executives in expanding their perception of the environment of their firm,” say De Noble and Olson. “It is, however, only a suggested outline,” they advise. “. risk should be incorporated into every investment decision, especially in a volatile environment,” say the authors. De Noble and Olson close with an intriguing formula to gauge volatility in an environment.
Recherche d ’ images basée sur la saillance visuelle pour l ’ imagerie urbaine

With the increase of image datasets size and of descriptors complexity in Content-Based Image Retrieval (CBIR) and Computer Vision, it is essential to find a way to limit the amount of manipulated data, while keeping its quality. Instead of treating the entire image, the selection of regions which hold the essence of information is a relevant option to reach this goal. As the visual saliency aims at highlighting the areas of the image which are the most important for a given task, in this paper we propose to exploit visual saliency maps to prune the most salient image features. A novel visual saliency approach based on the local distribution analysis of the edges orientation, particularly dedicated to structured contents, such as street view images of urban environments, is proposed. It is evaluated for CBIR according to three criteria : quality of retrieval, volume of manipulated features and computation time. The proposal can be exploited into various applications involving large sets of local visual features ; here it is experimented within two applications : cross-domain image retrieval and image-based vehicle localization.
Improved kNN Algorithm by Optimizing Cross-validation

Nowadays web applications based on short text is increasing rapidly. Moreover, the classification algorithms which are applied to short text data are Support Vector Machines algorithm, k-Nearest Neighbors algorithm and Naive Bayes algorithm. kNN algorithm depends on the distance function and the value of k nearest neighbor. Traditional kNN algorithm can select best value of k using cross-validation but there is unnecessary processing of the dataset for all possible values of k. Proposed kNN algorithm is an optimized form of traditional kNN by reduceing the time and space for evaluating the algorithm. Experiments are performed in developer version of weka 3.7. 5.Comparison of proposed kNN algorithm is done with traditional kNN algorithm, Support vector machine and Naïve Bayes algorithm. The proposed algorithm is more promising than the traditional kNN algorithm as time taken to process and space used for cross-validation in classification are reduced.
AUnit - a testing framework for alloy

sig Object { eats: set Object } one sig Farmer, Fox, Chicken, Grain extends Object {} fact eating { eats = Fox->Chicken + Chicken->Grain } sig State { near: set Object, far: set Object } fact initialState { let s0 = ord/first | s0.near = Object && no s0.far } pred crossRiver [from, from’, to, to’: set Object] { ( from’ = from Farmer && to’ = to to.eats + Farmer ) || (some item: from Farmer { from’ = from Farmer item to’ = to to.eats + Farmer + item }) } fact stateTransition { all s: State, s’: ord/next[s] { Farmer in s.near => crossRiver[s.near, s’. near, s.far, s’. far] else crossRiver[s.far, s’. far, s.near, s’. near] } } Figure A.1: Farmers Alloy Model
Emotional Responses to the Perceptual Dimensions of Timbre: A Pilot Study Using Physically Informed Sound Synthesis

Music is well known for a↵ecting human emotional states, and most people enjoy music because of the emotions it evokes. Yet, the relationship between specific musical parameters and emotional responses is not clear. A key question is how musical parameters can be mapped to emotional states of valence, arousal and dominance. Whereas many studies have focused on emotional responses to performance or structural musical parameters [6–8], little is know about the role of timbre on emotions. Here, we propose a sound synthesis-based approach to the study of sonic emotion using physically-inspired sound models, and investigate the emotional e↵ects of three perceptually salient timbre descriptors, namely log-attack time, spectral centroid and spectral flux. Our results show that an increase in spectral centroid and spectral flux parameters produces an increased emotional response on the arousal scale. Moreover we could observe interaction e↵ects between log-attack time and spectral flux on the dominance scale. This study suggests a rational approach to the design of emotion-driven music systems for multimedia installations, live performance and music therapy.
SERVITIZE TO EXPORT : EVIDENCE FROM GERMAN SMEs

This paper contributes to the literature on firm internationalization by exploring how the decision of manufacturing firms to bundle product and services, servitization or advanced services, affect their competitiveness in international markets. Using a unique sample of German SMEs, we show that servitization is a relatively rare activity which is strongly associated to firm-level export intensity. We account for endogeneity by exploiting the panel structure of the data and by implementing several doubly-robust propensity score matching (DR-PSM) techniques to address reverse causality concerns. Interestingly, the effect of servitization on exporting is larger for firms that sell all their products in combination with services in relation to firms that bundle services only with some of products sold.
Modeling and Simulation of Brake Squeal in Disc Brake Assembly

Brake squeal is an old and well-known problem in the vehicle industry and is a frequent source for customer complain. Although, brake squeal is not usually affecting the performance of the brakes, it is still important to address the problem and to predict the brakes tendency to squeal on an early stage in the design process. Brake squeal is usually defined as a sustained, high-frequency vibration of the brake components, due to the braking action. By using simulation in finite element (FE) method it should be possible to predict at what frequencies the brakes tend to emit sound. The method chosen for the analysis was the complex eigenvalues analysis (CEA) method, since it is a well-known tool to predict unstable modes in FE analysis. The results from the CEA were evaluated against measured data from an earlier study. Even though there are four main mechanism formulated in order to explain the up come of squeal, the main focus in this project was modal coupling, since it is the main mechanism in the CEA. A validation of the key components in model was performed before the analysis, in order to achieve better correlation between the FE model and reality. A parametric study was conducted with the CEA, to investigate how material properties and operating parameters effected the brakes tendency to squeal. The following parameters was included in the analysis; coefficient of friction, brake force, damping, rotational velocity, and Young’s modulus for different components. The result from the CEA did not exactly reproduce the noise frequencies captured in experimental tests. The discrepancy is believed to mainly be due to problems in the calibration process of the components in the model. The result did however show that the most effective way to reduce the brakes tendency for squeal was to lower the coefficient of friction. The effect of varying the Young’s modulus different components showed inconsistent results on the tendency to squeal. By adding damping one of the main disadvantages for the CEA, which the over-prediction of the number of unstable modes, where minimized.
Models for Neural Spike Computation and Cognition

This license generally allows copying, distribution, and transmission of the work and any adaptations, including their commercial use, provided that there is proper attribution that completely avoids implication of any endorsement. Dedication We dedicate this monograph to our wives and families who helped make this work possible and life worthwhile. ""! """! Abstract This monograph addresses in a new way how brains may use signal spikes to compute, perceive, and support cognition. It presents and simulates simple novel numerical models of neurons and discusses the relationship between their performance and known neural behavior. Modest math skills combined with the included brief review of neural signaling should enable most readers to understand the basic issues while skimming over the more specialized portions. Readers more interested in perception and cognition might wish to begin with Chapter 1 and then jump to Section 5.3 and the rest of the text before returning to the beginning to read about the mathematics of spike processing. Novel contributions include: 1) A simple binary neuron model (the " cognon model ") that learns and recognizes complex spike excitation patterns in less than one second while requiring no unexpected neural properties or external training signals. An excitation pattern has no more than one spike per input synapse and typically lasts less than about 20 milliseconds. 2) A Shannon mutual information metric (recoverable bits/neuron) that assumes: 1) each neural spike indicates only that the responsible nearly simultaneous neuron input excitation pattern had probably been seen earlier while that neuron was " learning ready " , and 2) the information is stored in synapse strengths. This focus on recallable learned information differs from most prior metrics such as pattern classification performance or those relying on specific training signals other than the normal input spikes. 3) Derivation of an equation for the Shannon metric that suggests such neurons can recall useful Shannon information only if their probability of firing randomly is lowered between learning and recall, where an increase in firing threshold before recall is one likely mechanism. 4) Extensions and analyses of cognon models that also use spike timing, dendrite compartments, and new learning mechanisms in addition to spike-timing-dependent plasticity (STDP). "#! 5) Simulations that show how simple neuron models having between 200 and 10,000 binary-strength synapses can recall …
High spatial resolution analysis of the iron oxidation state in silicate glasses using the electron probe k

The iron oxidation state in silicate melts is important for understanding their physical properties, although it is most often used to estimate the oxygen fugacity of magmatic systems. Often high spatial resolution analyses are required, yet the available techniques, such as μXANES and μMössbauer, require synchrotron access. The flank method is an electron probe technique with the potential to measure Fe oxidation state at high spatial resolution but requires careful method development to reduce errors related to sample damage, especially for hydrous glasses. The intensity ratios derived from measurements on the flanks of FeLα and FeLβ X‐rays (FeLβf/FeLαf) over a time interval (time‐dependent ratio flank method) can be extrapolated to their initial values at the onset of analysis. We have developed and calibrated this new method using silicate glasses with a wide range of compositions (43–78 wt% SiO2, 0–10 wt% H2O, and 2–18 wt% FeOT, which is all Fe reported as FeO), including 68 glasses with known Fe oxidation state. The Fe oxidation state (Fe/FeT) of hydrous (0–4 wt% H2O) basaltic (43–56 wt% SiO2) and peralkaline (70–76 wt% SiO2) glasses with FeOT > 5 wt% can be quantified with a precision of ±0.03 (10 wt% FeOT and 0.5 Fe/FeT) and accuracy of ±0.1. We find basaltic and peralkaline glasses each require a different calibration curve and analysis at different spatial resolutions (~20 and ~60 μm diameter regions, respectively). A further 49 synthetic glasses were used to investigate the compositional controls on redox changes during electron beam irradiation, where we found that the direction of redox change is sensitive to glass composition. Anhydrous alkali‐poor glasses become reduced during analysis, while hydrous and/or alkali-rich glasses become oxidized by the formation of magnetite nanolites identified using Raman spectroscopy. The rate of reduction is controlled by the initial oxidation state, whereas the rate of oxidation is controlled by SiO2, Fe, and H2O content.