Miracle-dz/UniFAR-FTUs huggingface dataset:
Depression symptoms in early childhood teachers: Do personality, social support, and school climate play a role?

DEPRESSION SYMPTOMS IN EARLY CHILDHOOD TEACHERS: DO PERSONALITY, SOCIAL SUPPORT, AND SCHOOL CLIMATE PLAY A ROLE? by JESSICA MCLAUGHLIN December 2013 Advisor: Dr. Rita J. Casey Major: Psychology Degree: Doctor of Philosophy Depression among early childhood teachers has received little attention within the United States. For the present study, early childhood teachers were asked to participate in an online survey to investigate the rate of high depression symptoms among teachers, and whether personality, social support, and school climate are related to teachers’ depression symptoms. Results showed that 32% of early childhood teachers in the sample were high in depression symptoms, which is significantly higher than rates of depression in the general population. Lower levels of neuroticism and higher levels of extroversion were related to fewer depression symptoms. Perceived social support from an administrator and other teachers’ openness were also related to fewer depression symptoms in early childhood teachers. The implications of these findings are important, such as effects teacher depression could have on teaching quality and students’ academic and psychosocial competence. Intervention options are also suggested, especially given the amount of pressure and scrutiny currently being placed on teachers in the United States.
SLOW-MOVING LANDSLIDE MONITORING WITH MULTI-TEMPORAL TERRASAR-X DATA BY MEANS OF DINSAR TECHNIQUES IN CROTONE PROVINCE (SOUTHERN ITALY)

The Differential SAR Interferometry (DInSAR) is one of the most powerful devices for monitoring deformation processes on the Earth surface. Here, a dataset of TerraSAR-X StripMap imagery covering almost the whole Crotone province territory, located in the south of the Italian peninsula, has been selected and processed. The time span goes from April 2008 to June 2010. In this work, two different multitemporal interferometry (MTI) approaches and two different software packages have been used and compared in order to identify benefits/constraints of each MTI approach and each software. Such approaches are: the ‘permanent’ (or ‘persistent’, or ‘point-like’) scatterers [1] implemented on the SARscape® software [2], and the Temporal Sublook Spectral Coherence (TSSC), derived from Coherent Pixel Technique algorithm and works on SUBSOFT processor, developed by the Remote Sensing Laboratory (RSLab) group, from the Universitat Politècnica de Catalunya (UPC) [3-5].
Interface Development for Next Generation FlockLab

Wireless Sensor Networks are often deployed in outdoor settings, where it is difficult to access them. Therefore, it is crucial that they work reliably when deployed. Special testbeds are designed for research and development. Gaining better knowledge about communication or energy consumption is an important topic of current research. Nevertheless, current Wireless Sensor Network testbeds often provide only very limited functions for power profiling. The new FlockLab architecture of ETH Zurich offers detailed monitoring of sensor nodes including power measurement. An Analogue to Digital Converter samples the current drain of the node with high accuracy and speed. The transfer of those measurements sets several requirements in terms of real time and of computational resources. In order to read measurement data using an Analogue to Digital Converter, a suitable driver is required. The goal of this semester thesis was to write a driver for the Linux kernel which adds support for this device. The purpose of this driver is to read the values of the Analogue to Digital Converter and to provide an interface for its functionality Furthermore, the driver was tested to verify its correctness. It is capable of sampling the power in a way that it allows extracting accurately the behaviour of the power consumption of a node.
Produtividade da cultura do feijoeiro submetido a doses de fósforo e nitrogênio

O objetivo deste trabalho foi avaliar a produtividade da cultura do feijoeiro em funcao de doses de P e N. O experimento foi desenvolvido a campo, no municipio de Alta Floresta – MT, no ano de 2009. Os tratamentos foram arranjados em esquema fatorial 4x3, em que o primeiro fator representava as doses de P (0, 50, 100 e 150 kg ha -1 de P 2 O 5 ) e o segundo as doses de N em cobertura (0, 40 e 80 kg ha -1 de N). Utilizou-se o delineamento experimental de blocos ao acaso, com tres repeticoes. Foram avaliados atributos morfologicos da cultura, alem da producao de massa seca do residuo da parte aerea (MSPA) e a produtividade de graos (PG). A MSPA aumentou linearmente com o incremento nas doses de P e N, em que a aplicacao de cada kg ha -1 de P 2 O 5 ou N proporcionou aumento de 6,4 e 6,3 kg ha -1 nesta variavel, respectivamente. Para a PG, as respostas as doses de ambos os nutrientes tambem ocorreram, embora tenham sido mais acentuadas as doses de P, em que a aplicacao de cada kg ha -1 de P 2 O 5 proporcionou aumento de 10,3 kg ha -1 na PG, enquanto que, para cada kg ha -1 de N aplicado o aumento na PG foi de 6,6 kg ha -1 . Apesar das respostas em PG as doses de P e N terem ocorridos em intensidades diferentes, pode-se verificar a necessidade da aplicacao de ambos nutrientes para obter-se elevada produtividade de graos.
A Simple Algorithm for Detection of QRS Onset and Offset

This paper proposes a simple algorithm for QRS onset and offset detection in ECG signal. Before detecting QRS onset and offset, we have searched junctions of Q wave and S wave using distance. And then, we find QRS onset and offset using area. The performance of our algorithms has been evaluated using the PhysioNet QT database. We compute the mean and standard deviation of the differences between onsets or offsets manually marked by cardiologists and those detected by the proposed algorithm. Experiment results show that the proposed algorithm outperforms the other algorithms. Keywords— QRS Complex, ECG, QRS Detection, QT Database
Literature Review of Navicular Fractures

Although not overwhelmingly fraught with complications, navicular fractures, especially in young athletes, can cause prolonged disabling foot pain if not diagnosed and treated adequately. The navicular plays a vital role in maintaining the medial longitudinal arch of the foot, and acute fracture or dislocation of the navicular can have a major impact on overall foot function. This review looks at the background, etiology, diagnoses, and standard treatment for navicular fractures.
Running Head : COORDINATING PROFESSIONAL DEVELOPMENT 1 Coordinating Professional Development Across Contexts and Role Groups

In this chapter, we report on an ongoing research project in which we have partnered with leaders of two U.S. school systems to both support and investigate large-scale instructional improvement. One potentially important improvement strategy involves coordinating professional development across contexts (e.g., pull-out teacher professional development, school-based teacher collaborative time) and role groups (e.g., teachers, coaches, school leaders). We draw on recent literature on teacher professional development and teacher education, which suggests the importance of both focusing professional development on specific instructional practices and of creating opportunities for participants to both investigate and enact those practices. We ground our discussion of coordinated professional development in our work with leaders of one of the two school systems in which we are collaborating to design professional development for teachers, coaches, and school leaders around high-leverage instructional practices in middle-grades mathematics. COORDINATING PROFESSIONAL DEVELOPMENT
A Kansei Image Retrieval Based on Emotion Model

The target of Kansei information processing is to simulate and recognize human sensibility, sensuality or emotion, to realize natural and harmonious human-machine interface as to achieve human-centered world. People usually use adjectives to express emotion. An emotional model based on adjectives is provided in this paper. Based on the idea of dimension? from psychology, semantic differential method and factor analysis are used to construct an orthogonal emotional space. The measurement of similarity in the emotional space is analysis. After that, the emotion model is used in image retrieval. Color and shape features extracted from the image can be used as the kansei features. A radial basis function neural network is used for mapping each image from the feature space to the emotional space. Thus an kansei image retrieval system is obtained. At last an interesting experimental result is presented.
The influence of spatial and temporal climate variation on species' distributions, phenologies and interactions

With climate change, species are shifting their distributions polewards and upwards, and advancing their phenologies. However, there is substantial interspecific variation in these responses and ecologists are having difficulty explaining why. Understanding this variation is critical as it is likely to lead to widespread consequences for trophic interactions and ecological communities. In this thesis, I test several hypotheses concerning the causes and ecological consequences of interspecific and intertaxonomic variation in climate-distribution and phenology-temperature relationships. First, I tested and found support for the hypothesis that species from different taxonomic groups vary in the strength of climate-distribution relationships, likely because of differences in their life history strategies. However, my results suggest that dispersal ability is unlikely to be the key trait affecting species’ geographic distributions at broad scales. Across broad-scales, I found that butterfly and plant phenologies were strongly affected by temperature, suggesting that phenological shifts in response to future climate change are likely to be widespread. Flight season timing of early-season butterfly species and those with lower dispersal ability was more sensitive to temperature than later-season species and those with greater dispersal ability, suggesting that ecological traits can account
Visualizing Web Images Using Fisher Discriminant Locality Preserving Canonical Correlation Analysis

SUMMARY A novel dimensionality reduction method, Fisher Discriminant Locality Preserving Canonical Correlation Analysis (FDLP-CCA), for visualizing Web images is presented in this paper. FDLP-CCA can integrate two modalities and discriminate target items in terms of their semantics by considering unique characteristics of the two modalities. In this paper, we focus on Web images with text uploaded on Social Networking Services for these two modalities. Speciﬁcally, text features have high discriminate power in terms of semantics. On the other hand, visual features of images give their perceptual relationships. In order to consider both of the above unique characteristics of these two modalities, FDLP-CCA estimates the correlation between the text and visual features with consideration of the cluster structure based on the text features and the local structures based on the visual features. Thus, FDLP-CCA can integrate the di ﬀ erent modalities and provide separated manifolds to organize enhanced compactness within each natural cluster.
Introduction to Design and Analysis. A Student's Handbook G. Keppel and W. H. Saufley Jr., San Francisco: W. H. Freeman, 1980, pp. 490.

complicated. Although trainers are advised to make up their own scales and questionnaires to suit their particular client groups, I was disappointed not to find more practical hints on the assessment of basic skills, for this can be a very difficult and frustrating task. Chapter 3 briefly discusses the theory behind S.S. T together with the five basic training components; it offers suggestions for setting up programmes and some imaginative "social skill games" to play. There is much material here for teaching in general, with ideas which are clearly relevant to the needs and problems of children and those of trainers. There is also a brief discussion relating to ethical objections often levelled at S.S. T. Ms Spence's treatment of these issues is pragmatic and relates to the selection of targets for training. These should be relevant to the trainee and "useful in the environment in which the individual functions" (p. 53), and targets should certainly not be "those that produce submission of conformity to unreasonable demands of the institution, or authority figures" (p. 53). Finally, the example of S.S. T. Programme for Adolescents (while not to be used as a recipe) offers good suggestions for programme development and for the content of sessions. This is an excellent guide for beginners and the more experienced alike, as it covers all aspects of S.S. T. and offers much assistance to anyone working with children and adolescents.
Evaluation of the Aladin/lace Mesoscale Model during the Map Sop Bxperiment Provjera Uspjesnosti Mezomodela Aladin/lace Tijekom Map Sop Eksperimenta

The time series of temperature, wind speed and wind direction of the ALADIN/LACE (Limited Area Modelling for Central Europe) mesoscale model were compared with the radio-sounding data obtained above Zagreb during the Mesoscale Alpine Programme Special Observing Period (MAP SOP, Sept-Nov 1999). The evaluation was done at the 850 hPa level and at 988 m above mean sea level. The latter was chosen to test the usability of the Puntijarka station data as a substitute at 988 m during periods when radio-sounding observations are not available. The forecast values of temperature and, to some extent, wind direction agree better with the observed data than the forecast values of wind speed. The forecast skill decreases with the forecast range. The modelled temperature is slightly overestimated; in contrast, wind speed is slightly underestimated. The accuracy of the prognostic temps (pseudoTEMP) of the direct ALADIN/LACE mesoscale model output is somewhat smaller at 988 m, very likely due to the influence of surface forcing. The temperature measured at the Puntijarka station agrees better with radio-sounding data than wind speed and wind direction. The time series of temperature are subjected to a seasonal tendency variation, that makes these data usabie only in periods when there is no tendency. In contrast, because of the existence of huge tendencies, raw wind speed and wind direction data are, in general, not suitable for the purpose of the model verification or initialisation.
Gas Permeation Behavior of Single and Mixed Gas Components Using an Asymmetric Ceramic Membrane

A dip-coating process has been used to form an asymmetric silica membrane with improved membrane performance and reproducibility. First, we deposited repeatedly silica on top of a commercial alumina membrane support to improve its structural make up. The membrane is further processed under clean room conditions to avoid dust impurity and subsequent drying in an oven for high thermal, chemical and physical stability. The resulting asymmetric membrane exhibits a gradual change in the membrane layer thickness. Compared to the support, the dual-layer process improves the gas flow rates. For the scientific applications for natural gas purification, CO2, CH4 and H2 gas flow rates were. In addition, the membrane selectively separated hydrogen.
Understanding Corporate E-learning Use: Does Cognitive Style Matter?

Learning is becoming increasingly digital not only in the academic context, but also in the corporate context. Research on how to adapt e-learning courses to the learner’s individual cognitive style is gaining momentum. However, especially in the corporate context, some more basic questions appear to be still unanswered such as whether differences in cognitive style explain differences in corporate learners’ usage behavior. Based on data including both users and non-users of a globally operating professional service firm, I identify differences in behavior and attempt to explain them with cognitive style theory. The findings include distinct pattern in usage behavior, which cognitive style surprisingly does not explain. Implications for future research and practice are discussed.
Spatial and Temporal Crowding in the Recognition of Words and Faces

Faces and words are very different, but are they identified the same way? Previous studies indicate that both faces and words are recognized by-their parts. Here, we study the effects of both spatial and temporal crowding on face and word recognition, supposing that in order to recognize these objects we must isolate the objects in time and their parts (letters and facial features) in space. Using RSVP in the peripheral visual field, we measured the proportion of words and faces correctly identified as a function of part-to-part spacing and presentation rate. We reject the hypothesis that the spatial and temporal isolation processes are statistically independent, and show that while faces require more time and larger spacings between parts for recognition, the space-time tradeoff is identical for both object types.
Het leefklimaat in justitiële inrichtingen

De overheid heeft in het Masterplan DJI 2013-2018 in grote lijnen haar visie met betrekking tot het leefklimaat in detentie en de te verwachten effecten daarvan uiteengezet. Deze visie kan als volgt worden samengevat. De overheid stelt eisen aan het detentieklimaat met betrekking tot de uitgangspunten veiligheid, zelfredzaamheid, menswaardigheid en een verantwoorde terugkeer naar de samenleving. De probleemstelling van het onderzoek luidt als volgt:Wat is er in de literatuur bekend over het leefklimaat in justitiele inrichtingen en het effect dat het leefklimaat heeft op de beleving van detentie en het gedrag van justitiabelen tijdens en na afloop van het verblijf? Welke factoren bepalen het leefklimaat? Welke mogelijkheden bestaan er om het leefklimaat te beinvloeden en welke instrumenten zijn er om (veranderingen in) het leefklimaat te meten?
PC-PeerSim: Simulação Paralelizada de Overlays Peer-to-Peer em Clusters

This article resumes the development of a solution for simulating peer-to-peer overlays in the Peersim system. This project and its motivation in the imposed limits of the current version of peersim on not being able to take advantage of multi core processor and is severly limited by the available physical memory of the machine it’s running in when defining the size of the simulation. This document is comprised of an introduction to the concepts of grid computing and their uses and benefits, to the concept of the Terracotta distributed virtual machine and finally to the concept of a peer-to-peer overlay. It contains also a description of several current projects from the mentioned areas of expertise, filed and ranked according to evaluation criteria. Here comprised is also a detailed description of the architecture and implementation of the developed solution, beginning with the changes made so that the simulator may maintain coherence and synchronization when running in the multithreaded mode, explaining the new protocol API and the memory sharing strategies used in the distributed execution. Finally, this dissertation ends with a detailed description of the architecture and implementation of the developed solution and and evaluation of the obtained results that prove the validity and usefulness of this project.
Determination of Noncancer Chronic Reference Exposure Levels Batch 2a December 2000 Methylene Diphenyl Isocyanate I. Chronic Reference Exposure Level Iv. Effects of Human Exposure

Description Light yellow solid Molecular formula C15H10N2O2 (monomer) Molecular weight Variable (monomer = 250.27 g/mol) Density 1.197 g/cm @ 70°C (monomer) Boiling point 196°C (monomer) Melting point 37°C (monomer) Vapor pressure 0.001 torr @ 40°C (monomer) Solubility Soluble in acetone, benzene, kerosene, and nitrobenzene (monomer) Conversion factor Monomer: 1 ppm = 10.2 mg/m at 25°C; Not applicable for polymer
A Novel Dual-Purpose Image Watermarking Technique

Image watermarking has proven to be quite an efficient tool for the purpose of copyright protection and authentication over the last few years. In this paper, a novel image watermarking technique in the wavelet domain is suggested and tested. To achieve more security and robustness, the proposed techniques relies on using two nested watermarks that are embedded into the image to be watermarked. A primary watermark in form of a PN sequence is first embedded into an image (the secondary watermark) before being embedded into the host image. The technique is implemented using Daubechies mother wavelets where an arbitrary embedding factor α is introduced to improve the invisibility and robustness. The proposed technique has been applied on several gray scale images where a PSNR of about 60 dB was achieved. Keywords—Image watermarking, Multimedia Security, Wavelets, Image Processing.
Teaching Statistics with Technology

The most recent Australian Curriculum: Mathematics document (ACARA, 2013) calls for students to develop the ability to use technology in their mathematical and statistical studies. Due to this increasing importance of integrating digital technologies in mathematics education, the national professional standards for teachers in Australia (AITSL, 2014) expect teacher education graduates to demonstrate technological, pedagogical and content knowledge (TPACK) in mathematics teaching and learning.
Rapid determination of glucose in human serum using fourier transform near infrared spectroscopy

Glucose in human serum was analyzed rapidly using fourier transform near infrared transmittance spectroscopy(NIRS) combined with partial least square(PLS) regression. The optimal parameters of mathematics model were studied using leave-one-out cross validation method. The coefficient (r) between the true values of the calibration sample sets and the NIRS predicted values was 0.9148; and the root mean square error of cross validation (RMSECV) was 0.478 mmol/L.
Adaptive Statistical Language Modelling 5 Acknowledgments

First and foremost, I would like to thank Salim Roukos at IBM’s Thomas J. Watson Research Center and Ronald Rosenfeld at Carnegie Mellon University. The work presented here was conducted while I was a visitor at TJ Watson during the summer and fall of 1993 and it was an extension of my previous work on trigger language models done at TJ Watson the preceding summer. Salim was my supervisor and mentor throughout my stays at TJ Watson. Roni Rosenfeld and I worked together on my earlier trigger language model exploration at IBM. Without Roni, many of the implementation issues related to maximum entropy would have not been resolved as efficiently. I would also like to thank Peter Brown and Robert Mercer presently at Renaissance Technology and Stephen Della Pietra and Vincent Della Pietra presently at TJ Watson. Peter, Bob, Stephen, Vincent and Salim all jointly conceived and developed the maximum entropy framework for building statistical models at TJ Watson. Finally, I cannot forget Victor Zue, my thesis supervisor, who took time out of his busy schedule to offer his valuable input.