Miracle-dz/UniFAR-FTUs huggingface dataset:
The grammar of depiction: Exploring gesture and language in Australian Sign Language (Auslan)

Sammendrag This dissertation reports on a linguistic investigation into the use of depicting signs in Australian Sign Language (Auslan). Depicting signs are analyzed as partly lexical signs, composites of linguistic and gestural elements (Johnston & Schembri, 2010; Liddell, 2003a). The occurance of these signs within clauses, or rather, clause-like-units, is investigated in order to (1) describe their use in context and (2) explore how signers integrate language and gesture to construct meaning (cf. Enfield, 2009). ​
Status antioksidan dan oksidatif laki-laki yang mengalami kegemukan dengan pemberian minuman rosela ungu

Background : Rosela (Hibiscus sabdariffa L.) is an anthocyanin-rich plant that has good antioxidant capacity. However, the utilization was limited to red roselle, while previous studies showed that anthocyanin content was found to be higher in the thick roselle.therefore, this is an opportunity to develop purple roselle products as a preventive effort for degenerative diseases in men with fatness. Subjects in this study were male by considering the effect of estrogen on women which could play a role in suppressing oxidative stress.Objectives : This study aimed to analyze antioxidant (SOD/Superoxide dismutase) and oxidative status (MDA/malondialdehyde) level in obese adult men after administration of purple rosela drinks. Methods : This study was quasi-experimental with pre-post test. Eighteen obese subjects in the security unit were divided into two groups, namely the intervention group and control group. Intervention group (n = 9) was given purple rosela drinkin the amount of 480 mL/day, while the control group (n = 9) was given an equivalent amount of purple rosela drink without rosela. The subjects were daily administered for 6 weeks. Characteristic, anthropometric, food consumption and blood sample data were collected at the beginning and end of the intervention. Data analysis was performed by descriptively, paired t-test, independent t-test, ANCOVA.Results : The analysis showed that purple rosela drink tend to increase SOD levels (0.45 ± 0.14; 1.35 ± 0.71; p-value = 0.008) but this value was not significantly different from the control group (p-value = 0.128). MDA levels did not significantly different between the intervention and control groups (0.025 ± 0.083;-0.125 ± 0.60; p-value = 0.473). Conclusion : These results showed that administering 480 ml of purple rosela drink did not improve antioxidant and oxidative status in obese adult men.
An Exploratory Investigation Into Factors Contributing to Computer-Based Testing

Background: Computer-based testing (CBT) is gaining in popularity in educational settings, and students seem more inclined to take tests delivered via computers. This study aimed at examining factors affecting CBT. Methods: This descriptive study intended to explore factors which might affect medical computer-based testing (CBT). Accordingly, a researcher-made questionnaire (alpha = 0.86) was administered to 264 conveniently selected medical students enrolled in general English language courses at Qazvin University of Medical Sciences in Spring 2016. The validity of the questionnaire was confirmed seeking experts’ opinions. Data were analyzed using SPSS (version 23). Results: The results of exploratory factor analysis showed that six factors could affect CBT. These six factors explained 55.91% of the variance. Among the factors, self-esteem accounted for the highest variance (26.34%), while cost-effectiveness accounted for the lowest variance (4.73%). Conclusions: These findings suggest that CBT may motivate medical language learners, building their self-esteem and identity. Therefore, they may prefer it to pencil-and-paper tests because of the higher accuracy of CBT.
Theory Of Ordinary Differential Equations

Thank you for reading theory of ordinary differential equations. Maybe you have knowledge that, people have search numerous times for their favorite books like this theory of ordinary differential equations, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some malicious bugs inside their desktop computer. theory of ordinary differential equations is available in our digital library an online access to it is set as public so you can get it instantly. Our digital library hosts in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the theory of ordinary differential equations is universally compatible with any devices to read.
Oral-performance language tasks for CSL beginners in second life

The aim of this study was to determine the effects of different types of language tasks performed in Second Life (SL) on the oral performance of beginners of Chinese as a Second Language (CSL), focusing on oral accuracy. The 30 CSL beginners who participated in this study were randomly divided into two groups (n = 15 per group), required to perform two different types of language tasks: information-gap and reasoninggap. During the study, both the Mandarin oral accuracy and the learning motivation of both groups were measured and analyzed to determine to what extent performing the two different task types could contribute to the two dependent variables (i.e., accuracy and motivation). All the learners improved significantly in oral communication competence, with those performing the reasoning-gap task improving significantly more than those performing the information-gap task. It was also found that almost all the learners exhibited positive learning motivation and appreciated the task-based learning activities designed in SL. Both groups made significant improvement in the affective dimension. Furthermore, the reasoning-gap group received significantly higher scores in the educational-context-related dimension (attitude toward SL as the Mandarin Chinese learning environment) than the information-gap group did.
On matching conditions for adaptive state tracking control of systems with actuator failures

New necessary and sufficient conditions are derived for state tracking with state feedback for linear time-invariant systems with actuator failures. The actuator failures are characterized by unknown input signals stuck at some unknown fixed values at unknown time instants. It is shown that the number of non-failed actuators is crucial in determining the actuation range which specifies the compensation design conditions. Such conditions are required for both a nominal design using system knowledge and an adaptive design without system knowledge. An adaptive actuator failure compensation control scheme based on relaxed system actuation conditions is developed for systems with unknown parameters and unknown actuator failure values, times and patterns. Simulation results are presented to verify the desired system performance with failure compensation.
Scalable algorithms for semi-automatic segmentation of electron microscopy images of the brain tissue

I present a set of fast and scalable algorithms for segmenting very large 3D images of brain tissue. Currently, light and electron microscopy can now produce terascale 3D images within hours. Extracting the information about the shapes and connectivity of the neurons require fast and accurate image segmentation algorithms. Due to the sheer size of the problem, traditional approaches might be computationally infeasible. I focus on an segmentation pipeline that breaks up the segmentation problem into multiple stages, each of which can be improved independently. In the first step of the pipeline, convolutional neural networks are used to predict segment boundaries. Watershed transform is then used to obtain an over–segmentation, which is then reduced using agglomerative clustering algorithms. Finally, manual or computer– assisted proof reading is done by experts. In this thesis, I revisit the traditional approaches for training and applying convolutional neural networks, and propose: ∙ A fast and scalable 3D convolutional network training algorithm suited for multi–core and many–core shared memory machines. The two main quantities of the algorithm are: (1) minimizing the required computation by using FFT–based convolution with memoization, and (2) parallelization approach that can utilize large number of CPUs while minimizing any required synchronization. ∙ A high throughput inference algorithm that can utilize all available computational resources, CPUs and GPUs. I introduce a set of highly parallel algorithms for different layer types and architectures, and show how to combine them to achieve very high throughput. Additionally, I study the theoretical properties of the watershed transform of edge– weighed graphs and propose a liner–time algorithm. I propose a set of modification to the standard algorithm and a quasi–linear agglomerative clustering algorithm that can greatly reduce the over–segmentation produced by the standard watershed algorithm.
Computer Science and Information Technology

During the last decade, there has been a huge increase in the volume of Internet business transactions which in turn led to the emergence of a new field of scientific research ­ agent­based computational economics. In order to be able to conduct successful transactions, agents must have appropriate strategies to participate in trading negotiations. This paper is aimed at investigating the process of multi­agent negotiations in continuous double auction (CDA) and describes one possible approach for solving the problem of resource allocation in a distributed computational environment. Our goal is to present a new software tool for e­auctions simulation and to investigate bidding agents’ strategies. Via a series of experiments we prove that this new software application sufficiently models the process of making transactions in CDA. We propose a new method for quick and reliable strategy comparisons. Using this novel method, we can choose a bidding strategy that ensures the most effective resource allocation.
Static vs Adapted Optimal Execution Strategies in Two Benchmark Trading Models

We consider the optimal solutions to the trade execution problem in the two different classes of i) fully adapted or adaptive and ii) deterministic or static strategies, comparing them. We do this in two different benchmark models. The first model is a discrete time framework with an information flow process, dealing with both permanent and temporary impact, minimizing the expected cost of the trade. The second model is a continuous time framework where the objective function is the sum of the expected cost and a value at risk (or expected shortfall) type risk criterion. Optimal adapted solutions are known in both frameworks from the original works of Bertsimas and Lo (1998) and Gatheral and Schied (2011). In this paper we derive the optimal static strategies for both benchmark models and we study quantitatively the improvement in optimality when moving from static strategies to fully adapted ones. We conclude that, in the benchmark models we study, the difference is not relevant, except for extreme unrealistic cases for the model or impact parameters. This indirectly confirms that in the similar framework of Almgren and Chriss (2000) one is fine deriving a static optimal solution, as done by those authors, as opposed to a fully adapted one, since the static solution happens to be tractable and known in closed form.
Student Achievement Prediction Based on Factor Analysis and BP Neural Network

The study proposed in this paper analyses the problems existing in the college course score prediction methodologies. Because of diversity and multiple choices in course selection, the analysis of college students’ course score can be quite complex. This paper proposes a student achievement prediction method based on factor analysis (FA) and Back-Propagation (BP) neural network. Our method is based on the improvement of FA algorithm. Firstly, special factors will be added to complement the equation of common factor score. Secondly, the initial equation of common factor score will be improved. Thirdly, a new equation intended to give an estimation of the special factors mentioned in the first point will be proposed. Finally, an improvement on the common factor loading matrix will be made. We use the improved equation of common factor score to calculate the score of each common factor. Then we use these scores as the input vector of the BP neural network. The output of the neural network is brought into the final equation to get the final prediction result. The experimental results show that the prediction accuracy is very high and the prediction model can be used for most of the college courses. The error on the prediction result is reduced by using the prediction model proposed in this paper. Therefore, the model developed in this paper is very effective and has high application value.
PENGARUH STRES KERJA TERHADAP KINERJA KARYAWAN DIMEDIASI OLEH KEPUASAN KERJA KARYAWAN PT. DESTINATION ASIA BALI

Tujuan penelitian ini untuk mengetahui dan menganalisis pengaruh langsung stress kerja dan kepuasan kerja terhadap kinerja karyawan, untuk mengetahui dan menganalisis pengaruh langsung stres kerja terhadap kepuasan kerja, serta untuk mengetahui dan menganalisis pengaruh kepuasan kerja dalam memediasi pengaruh stress kerja terhadap kinerja karyawan pada PT. Destination Asia Bali. Hasil penelitian menunjukkan bahwa stres kerja berpengaruh negatif dan signfikan terhadap kepuasan kerja dan kinerja karyawan, kepuasan kerja berpengaruh positif dan signifikan terhadap kinerja karyawan, kepuasan kerja secara positif dan signifikan memediasi pengaruh stres kerja terhadap kinerja karyawan. Populasi dalam penelitian ini adalah seluruh karyawan tetap pada PT. Destination Asia Bali. Karyawan tetap dipilih menjadi populasi penelitian karena diasumsikan bahwa karyawan tersebut memiliki informasi lebih banyak mengenai kondisi perusahaan. Pengambilan sampel dalam penelitian ini menggunakan teknik sampel jenuh atau sensus, sehingga jumlah sampel penelitian sebanyak 56 orang karyawan. Data dikumpulkan menggunakan kuesioner kemudian dianalisis menggunakan teknik analisis jalur (Path Analysis).
A Usability Evaluation and Content Analysis of Vizblog: an Online Conversation Discovery Tool

Web logs (or blogs) have become a means for citizens to share opinions and deliberate on local issues. However, the large number of blogs makes finding and exploring content of interest relatively difficult. This discovery problem presumably also limits participation by interested citizens. We are designing a tool to display citizen-to-citizen discussion in blogs and to reveal some similarity across blog entries. Through association and content analysis, blog entries, represented and summarized into nodes, are linked to each other to form clusters of related local content. Users can navigate and explore online discussions by manipulating the graph, filtering content, and clicking on a blog title to go directly to a given blog in order to read further and possibly join these ongoing conversations. The visualization of online discussion can promote participation by highlighting ‘the buzz’ of popular topics and laying out the structure of conversations. We conducted a case study on regional Southwest Virginia blogs to experiment with the tool’s usability and capacity for facilitating citizen-tocitizen discussion, as well as government awareness of diverse voices in the local community.
Library as a Change Agent: Examining the Roles of Library in Private Higher Institutions of Learning in South West Nigeria

This study investigated library as a change agent: the invaluable roles of library in private higher institutions of learning in South-west, Nigeria. The study was aimed at identifying the emerging roles of libraries; investigate the ways the emerging roles in libraries have influenced the higher institutions and examine the technological change the library has brought to the higher institutions of learning. The descriptive survey method was used for the study, the population of the study is 32 respondents from higher institutions of learning in South-west, Nigeria. The researcher adopted the entire population as the sample size for this study using the complete enumerative sampling technique. Questionnaire was used as the instrument for data collection and 32 copies of questionnaire were administered for this study. In response, 31 copies were retrieved and found useable, thereby indicating a response rate of 97%. The data was analysed using descriptive statistics (frequencies). The study contributed significantly to knowledge as it was able to identify the novel roles of libraries in this digital age. The findings revealed that libraries are now performing newer roles in order to keep pace with technological advancement. This new roles currently performed by the library has also transformed learning in higher institutions of learning. The study concluded that the library has acted as a change agent in institutions of higher learning by fostering the creation of new academic communities on campus (virtual community), enhancing life-long learning, improving communication linkages and consultations between policymakers, policy analysts, and policy beneficiaries as well as supporting, managing and improving the institution’s intellectual capital. The study recommended that adequate funds and resources be allocated to the library in order to improve the priceless and invaluable services rendered by the library as libraries in Nigeria are generally underfunded.
PERAN MOTIVASI KERJA DALAM MEMEDIASI PENGARUH KOMPENSASI TERHADAP SEMANGAT KERJA KARYAWAN

The purpose of this study was to determine the role of work motivation in mediating the effect of compensation on spirit at work. The results of this study found that compensation has a positive and significant effect on spirit at work, compensation has a positive and significant effect on work motivation, work motivation has a positive and significant effect on spirit at work, and the role of work motivation is positively and significantly mediates the effect of compensation on spirit at work. This research was conducted at Pertiwi Bisma Hotel 2 Ubud. The number of samples used is as many as 38 employees, with a saturated sample method where all the population numbers are used as respondents. Data collection is obtained from questionnaires. Data analysis used in this study is path analysis and sobel test. Keywords: spirit at work, work motivation, compensation
Development and quality of apple -whey based herbal functional ready-to-serve beverage

Apple is one of the widely consumed fruits which constitute an important part of the human diet as a source of sugars and dietary fibres. But, it is poor in proteins and some minerals like calcium. On the other hand, whey- a by-product of dairy industry is an excellent source of proteins and calcium. Therefore, in the present study, apple-whey based functional ready-to-serve (RTS) beverage was developed by blending apple juice with whey and jaljeera extract and was evaluated for quality under ambient and refrigerated conditions during storage. The incorporation of whey had increased the calcium content from 3.96 to 15.64 mg/100 mL and total proteins from 0.07 to 0.29 % in the developed beverage. Further addition of jaljeera extract not only enhanced the sensory quality of the beverage, but also improved the ascorbic acid content (10.57 mg/100g) total phenols (37.86 mg/100g) and antioxidant activity (40.34 %). The developed product was stored safely for a period of sixty days under refrigerated storage conditions with minimum changes in chemical and sensory attributes.
Translating Scientific Terminology: Examples from the Arabic versions of Two International Magazines

Abstract The purpose of this study is to examine the strategies used in translating scientific terminology. It is an attempt to explore how scientific English terms are translated in the Arabic versions of two international magazines; namely, the famous Scientific American (Arabic Edition) and Nature (Arabic Edition). The evidence provided by these magazines is expected to explain to what extent semantic and communicative translation is crucial in rendering scientific terms into Arabic. It also classifies the different types of semantic translation.
Ring: Real-Time Emerging Anomaly Monitoring System Over Text Streams

Microblog platforms have been extremely popular in the big data era due to its real-time diffusion of information. It's important to know what anomalous events are trending on the social network and be able to monitor their evolution and find related anomalies. In this paper we demonstrate <sc>Ring</sc>, a <underline>r</underline>eal-t<underline>i</underline>me emerging a<underline>n</underline>omaly monitorin<underline>g</underline> system over microblog text streams. <sc>Ring</sc> integrates our efforts on both emerging anomaly monitoring research and system research. From the anomaly monitoring perspective, <sc>Ring</sc> proposes a graph analytic approach such that (1) <sc>Ring</sc> is able to detect emerging anomalies at an earlier stage compared to the existing methods, (2) <sc>Ring</sc> is among the first to discover emerging anomalies correlations in a streaming fashion, (3) <sc>Ring</sc> is able to monitor anomaly evolutions in real-time at different time scales from minutes to months. From the system research perspective, <sc>Ring</sc> (1) optimizes time-ranged keyword query performance of a full-text search engine to improve the efficiency of monitoring anomaly evolution, (2) improves the dynamic graph processing performance of Spark and implements our graph stream model on it, As a result, <sc>Ring</sc> is able to process big data to the entire Weibo or Twitter text stream with linear horizontal scalability. The system clearly presents its advantages over existing systems and methods from both the event monitoring perspective and the system perspective for the emerging event monitoring task.
On the Capacity of 1-to-K Broadcast Packet Erasure Channels With Channel Output Feedback

This paper focuses on the 1-to-K broadcast packet erasure channel (PEC), a generalization of the broadcast binary erasure channel from the binary symbol to a finite field G F(q) with sufficiently large q. We consider the setting in which the source node has instant feedback of the channel outputs of the K receivers after each transmission. The main results of this paper are: (i) The capacity region for general l-to-3 broadcast PECs and (ii) The capacity region for two types of 1-to-K broadcast PECs: the symmetric PECs, and the spatially independent PECs with one- sided fairness constraints. This paper also develops (iii) A pair of outer and inner bounds of the capacity region for arbitrary 1-to-K broadcast PECs, which can be easily evaluated by any linear programming solver. The proposed inner bound is proven by a new class of intersession network coding schemes, termed the packet evolution schemes, which is based on the concept of code alignment in GF(q) that is in parallel with the interference alignment techniques for the Euclidean space. Extensive numerical experiments show that the outer and inner bounds meet for almost all broadcast PECs encountered in practical scenarios and thus effectively bracket the capacity of general 1-to-K broadcast PECs with COF.