Miracle-dz/UniFAR-FTUs huggingface dataset:
The development of an analysis tool to categorize

There has been much discussion within the areas of media effects and journalism that has been focused on the issue of framing. Framing occurs when journalists employ various tactics in order to connect to their audience and enhance the understanding of a certain topic or event. These tactics include using particular grammar and vocabulary within the text that sets the tone for the story. The tactics can also include choosing particular visual imagery to engage the reader, although this is rarely discussed within media research. Graphic design research, which includes the study of iconography, semiotics and social semiotics, has determined that images carry vast amounts of information and meaning. This suggests that images can also lead to the promotion of a particular frame. When the frame of the image does not support the frame of the text the audience can receive a confusing or even contradicting message. This study combines media-framing research with that of graphic design in order to determine ways that visual framing can best be identified and analyzed. The result is a categorizing tool that informs the journalist how an image can play a part in the framing of a subject and emphasizes the importance of the decision concerning which image should accompany the text. This categorizing tool, which is proposed in the form of a brochure, guides the journalist through the process of identifying and rating the presence of visual framing components in order to determine whether or not an image is appropriate for the text. This process would be valuable when choosing images prior to print, or as a way of reflecting on how images have been used in past coverage.
Exploration of SMP-Aware DAO Memory Performance Issues-Final Report 2002

The performance of many LLNL applications is dominated by the cost of main memory accesses. Worse, many current trends in computer architecture will lead to substantial degradation of the percentage of peak performance obtained by these codes. This project yields novel techniques that alleviate this problem in SMP-based systems, which are common at LLNL. Further, our techniques will complement other emerging mechanisms for improving memory system performance, such as processor-in-memory. The exploration of existing dynamic access ordering (DAO) mechanisms adapted to SMPs and the development of new memory performance optimization techniques will lead to significant improvements in run times for LLNL applications on future computing platforms, effectively increasing the size of the platform. In this project, we have focused on a range of techniques to overcome the performance bottleneck of current multiprocessor systems and to increase the single-node efficiency. These efforts include the design and implementation of a toolset to analyze memory access patterns of applications, the exploration of regularity metrics and their use to classify code behavior, and a set of microbenchmarks to assess and quantify the performance of SMP memory systems. We will make these tools available to the general laboratory user community to help the evaluation andmore » optimization of LLNL applications. In addition, we explored the use of Dynamic Access Ordering (DAO) techniques in the realm of shared memory multiprocessors. The most critical part of the latter is the need to maintain coherence among reordered accesses due to possible aliasing. We have worked on several design alternatives to guarantee consistency in such systems without changing the user environment. This guarantees that such novel memory systems will be directly applicable for existing and future HPC codes at LLNL. « less
FACTS: Modelling and Simulation in Power Networks

Preface. Introduction. Modelling of FACTS Controllers. Modelling of Conventional Power Plant. Conventional Power Flow. Power Flow including FACTS Controllers. Three--phase Power Flow. Optimal Power Flow. Power Flow Tracing. Appendix A: Jacobian Elements for FACTS Controllers in Positive Sequence Power Flow. Appendix B: Gradient and Hessian Elements for Optimal Power Flow Newtona s Method. Appendix C: Matlab(R) Computer Program for Optimal Power Flow Solutions using Newtona s Method. Index.
Network-based Language Teaching: Name index

1 Introduction: Theory and Practice of Network-Based Language Teaching 2 Curriculum Innovation in TEFL: Technologies Supporting Socio-collaborative Language Learning in Bulgaria 3 Online Learning in Second Language Classrooms: An Ethnographic Study 4 Negotiation in Cyberspace: The Role of Chatting in the Development of Grammatical Competence 5 Writing into Change: Style-Shifting in Asynchronous Electronic Discourse 6 Computers and Collaborative Writing in the Foreign Language Curriculum 7 Networked Multimedia Environments for Second Language Acquisition 8 An Electronic Literacy Approach to Network-Based Language Teaching 9 Task-Based Language Learning via Audio-Visual Networks: The LEVERAGE Project 10 Is Network-based Learning CALL?
Beyond “cool”—analog models for reviewing digital resources

Cet article presente des methodes pour les bibliothecaires et pour les professionnels de l'information d'acceder directement au ressources d'information de qualite sur le World Wide Web qui regorge d'informations de toutes sortes. Apres une presentation des differents niveaux de qualite, le besoin de filtre pour les professionnels de d'information est souligne. Puis une etude de differents services d'evaluation est proposee. Et enfin les services proposes par les bibliothecaires et par les professionnels de l'edition sont analyses.
A comparison of the effectiveness of teacher-directed instruction and independent study of computer keyboarding skills for students in grades three through five

The purpose of this study was twofold: (1) to determine the appropriate elementary grade level to introduce and teach keyboarding skills, and (2) to determine whether keyboarding instruction should be taught directly by teachers or if independent student study utilizing keyboarding software is as effective as direct instruction. Three hundred students were included in this quasi-experimental study. The number of students in treatment one groups were 48 in grade three, 47 in grade four, and 59 in grade five. The number of students in treatment two groups were 48 in grade three, 42 in grade four, and 56 in grade five. The treatment one groups were taught keyboarding by teacher-directed instruction for scheduled time periods using a keyboarding textbook. The treatment two groups were exposed to the same number of classroom computers with a keyboarding software program as part of their network menu. Students could opt to access this software during independent computer time. Three keyboarding tests were used in the study: (a) an alphabet typing test to assess touch-typing of letters, (b) a written fingering test to assess knowledge of correct fingering, and (c) a timed typing test to assess keyboarding speed and accuracy. Findings from analyses of covariance indicated that: (1) keyboarding speed increased with each advancement in grade, (2) written fingering test scores were higher for the students who received direct teacher instruction, (3) keyboarding accuracy was not dependent on grade level, and (4) alphabet typing scores were not dependent on instructional method. Pre-instruction and post-instruction questionnaires provided student data on amount of computer usage, student interest in computers, and the skill of keyboarding as it related to other subjects. Computers were found to be a motivational learning tool. Computers and keyboarding were also perceived as academically beneficial.
Constructing model of knowledge base according to MOKA methodology

The paper presents the structure of a model and the experience of model constructing according to MOKA methodology. The modeling process covers ontology creation of two parts of a model: formal and informal in Protege-OWL system. Informal model is used for knowledge acquisition for the purpose of knowledge base creation for a Knowledge Based System. Interface of this part of a model are ICARE forms. Formal model includes target domain relations and ontology. Thus, the formal model orders ontology of informal model and defines fully the domain of a given knowledge base. The model has been tested in designing process of a group of machines and can be used in different phases of Knowledge Based System, first of all in designing but also in operation and maintenance. The model includes ontology for products and processes and complex relations between model elements require the usage of advanced tools such as Protege-OWL for the purpose of model creation.
Algorithms for scheduling malleable and nonmalleable parallel tasks

A malleable parallel task is one whose execution time is a function of the number of processors allotted to it. A nonmalleable parallel task is one that requires a specific number of processors. Given n independent parallel tasks and m identical processors, we consider problems of constructing a nonpreemptive schedule of these tasks to minimize one of two objectives: makespan or weighted average completion time. We present a general two-step method for scheduling malleable tasks that applies to both objectives: first, choose an allotment of processors to tasks; second, using the chosen allotment, schedule the tasks as though nonmalleable. In the case of minimizing makespan, we provide an algorithm for selecting an allotment that, when coupled with existing algorithms for scheduling nonmalleable tasks, yields algorithms for scheduling malleable tasks that have the same approximation factor. As a result, we obtain a 2-approximate algorithm for scheduling malleable tasks to minimize makespan with running time O(mn). Also, in the case when the processors are arranged in a line, and the processors allotted to a task must be contiguous, we obtain a 2-approximate algorithm with running time $O(mn + n\ \log\sp2\ n/\log\ \log\ n$). For the weighted average completion time objective, we prove a lower bound on this objective for nonmalleable task sets, and use it to prove approximation factors for three new algorithms for scheduling nonmalleable tasks: an 8-approximate algorithm for unweighted tasks, a 10.43-approximate algorithm for weighted tasks, and a max$\{{1\over1{-}\beta},{1\over2(1{-}\beta)} + 1\}$-approximate algorithm for weighted tasks that require no more than $\lceil\beta m\rceil$ processors each. We also provide three allotment selection algorithms for this objective that exhibit a tradeoff between running time and allotment quality. Putting these results together yields several algorithms for scheduling malleable tasks to minimize average completion time, including a 2-approximate algorithm for unweighted tasks with running time $O(n\sp3 + mn$) that requires a weak condition on the task execution times, and a 4-approximate algorithm for weighted tasks with running time $O(n\sp2 + mn$) that requires the same condition.
CORRELATIONS BETWEEN SEVERAL GENE POLYMORPHISMS AND BREAST CANCER

Breast cancer is among the most common forms of cancer. The molecular mechanisms involved in hormone dependence of breast cancer have been largely investigated. The role of the estrogen and progesterone receptors has been documented, but the role of androgen receptor is less well known. A great part of the researches is focused on identifying the gene profile for disease predisposition, as well as the gene profiles characteristic to different stages of the disorder. Gene instability is the result of a minor alteration at the level of the microsatellites from the genomic DNA sequence. Changes of the stability of microsatellites are considered markers in the colon cancer and in different types of solid tumors. Breast cancer samples were analyzed to determine the existence of several polymorphisms in the structure of the genes that code for hormone receptors such as estrogen, progesterone and androgen receptors. The following tandem repeats were sized by gel electrophoresis: CA for ER, TA for ERand CAG for androgen receptor, together with PROGINS polymorphism. Correlated with the stage of malignancy it was noticed that majority of cases with a higher number of CAG repeats as well as those who had the allele of 481 bp in PROGINS segment were in stage III or IV, with invasive ductal carcinoma and a severe prognosis. It was also noticed that polymorphisms of estrogen receptors genes may be correlated with a severe prognosis, but due to the low number of samples, no ferm conclusions could be drawn.
Turing ( 1912-1954 ) [ 1 ]

Turing could easily have continued in the field of mathematics, but he decided to turn his interests to the field of logic and started to study the Entscheidungsproblem (“decision problem”) of David Hilbert. The Entscheidungsproblem concerns the question of whether there is a definite method to determine whether a mathematical statement can be proved to be true or false. Shortly before Turing could make his results public, the American logician Alonzo Church published his solution of the Entscheidungsproblem. Because of the differences in their methods, Turing decided to publish his article “On Computable Numbers, with an Application to the Entscheidungsproblem” in the Proceedings of the London Mathematical Society in 1936. This paper became famous in the field of computer science for its introduction of the universal Turing machine. The universal Turing machine is a mathematical model of a machine that can read the description and the input of another machine and can then simulate the other machine. Put simply, the universal Turing machine works on the same principle as an electronic computer. A computer reads a program, runs it, and produces an output. Similarly, the universal Turing machine reads the description of another machine, simulates the machine and produces an output. By introducing the universal Turing machine, Turing described the concept of the electronic computer before it was even invented.
Endogenous Correlation

This paper studies the links between rational herding and cross correlations in security returns. It demonstrates analytically and numerically that herding, as a temporary, fragile convergence, can indeed lead to asset dependency. Besides, the effect is most pronounced in abnormal market conditions. Overall, these imply a self-reinforcing process, where a bear market amplifies the herd effect that further exacerbates asset dependency. The simulation models with herding are found to generate results closer to the real patterns of asset dependency than the static benchmark model with noninteracting agents. The findings suggest an alternative view on the regulations towards greater transparency. JEL Classification: D83, G11, G12.
Evaluation of Analgesic and Sedative-anxiolytic Potential of Paderia foetida Leaf Extract

Thousands of plants are in medicinal use in Bangladesh. Paederia foetida L. is one of the most widely used plants among these for different types of ailments. This study was conducted to assess analgesic and neuropharmacological potential of aqueous, ethanol and ethyl acetate extracts of the plant leaf. Analgesic activity was evaluated at the dose of 400 mg/kg body weight by acetic acid induced writhing and formalin induced persistent pain tests while at the same dose sedative anxiolytic effect was examined by hole cross, open field and elevated plus maze tests on mice. The results showed that the ethanolic extracts significantly inhibit the nociceptive response in both acetic acid and formalin tests. The other two showed mild response. On the other hand, aqueous extract exhibited mild sedative action while rest of the two possess little sedative anxiolytic effect. These extracts of the plant leaf are yet to be explored for their specific mechanisms and absolute uses.
Anomaly Detection Technique in Sound to Detect Faulty Equipment

The Internet of Things has become an increasingly active research field in recent years, and it is useful for collecting information from diverse sensors that can be analyzed to detect the operating status and anomalous behavior of equipment. We introduce here an anomaly detection technique in sound that can be used to detect anomalies in equipment by analyzing sounds picked up by microphones, even in environments where special sensors cannot be installed.
Approaches to adaptive bitrate video streaming

In this work, I use ns-3 simulations to compare and evaluate different approaches to web based adaptive bitrate (ABR) video streaming. In particular, I look at the difference between client pull and server push based approaches, the effects of media formatting parameters such as chunk duration and number of encoding rates, and the implementation of bandwidth estimation and request scheduling strategies. I find that client pull applications with a 2 second chunk duration are very inefficient with bandwidth compared to applications using a server push based approach. The reasons for this stem from the effect of frequent idle periods at chunk boundaries, which are absent with server push, on the behaviour of TCP. Increasing the chunk duration to 10 seconds makes a significant difference to client pull applications and allows them to perform at a level much more comparable with server push applications. I also find that ABR applications in general are vulnerable to suffering from encoding rate instability, a result that echoes findings from a number of recent studies. This problem seems to stem from the difficulty of selecting a suitable encoding rate based on transfer rates observed at the application layer. Effective remedies for encoding rate instability include ensuring that the system is not over provided for in terms of the number of available encoding rates, and using an averaging function, such as the harmonic mean, over a series of recent transfer rates in order to filter out short term fluctuations in the estimate of available bandwidth. I also show that a simple request scheduling strategy can be used to avoid over buffering and the associated problems, but that periodic request scheduling can introduce further problems related to fairness when multiple ABR flows compete. Finally, I show that a hybrid of client pull and server push, which I call pull selective, can offer a useful compromise between the two, by matching the performance characteristics of server push whilst maintaining the low server overheads and scalability attributes of client pull.
Effect of H2O2-Mediated Endophytic Fungal Elicitors on Essential Oil Accumulation in Suspension Cells of Cinnamomum longepaniculatum

Calcium ion (Ca2＋) is a signal molecule that plays crucial roles in plant secondary metabolism. In order to explore the signaling mechanism of endophytic fungal elicitors (Penicillium commune 2J1) for promoting essential oil accumulation in Cinnamomum longepaniculatum, changes in the contents of Ca2＋ and essential oil were investigated after the addition of elicitors to the C. longepaniculatumcultures. The essential oil contents in C. longepaniculatum cells were increased upon addition of the CaCl3 into the culture. The concentration of Ca2＋ was suppressed and the essential oil contents decreased after the Ca2＋ channel blocker (LaCl3) was added into the cell cultures. LaCl3 did not completely inhibit essential oil accumulation in C. longepaniculatum cells induced by endophytic fungal elicitors. Based on these experimental results, adding elicitors were found to significantly increase Ca2＋ concentration and essential oil synthesis in C. longepaniculatum cells. Reliable evidence that Ca2＋can effectively mediate endophytic fungal elicitors to promote essential oil synthesis in C. longepaniculatum cells is presented in this study. It is further demonstrated that endophytic fungal elicitors may facilitate essential oil synthesis in C. longepaniculatum suspension cells through other signal transduction pathways.
Simulation of Wave Processes in Excitable Media

From the Publisher: Investigates wave processes in one and two spatial dimensions by combining analytical studies on simplified systems with computer simulation surveys of more complicated models. Stresses dependence of wave characteristics on the properties of the excitable medium. Includes an extensive appendix on super-computer techniques for simulating three-dimensional excitable media.
SLAM SLAM of multiple head mounted cameras in conjugate gazing situations

The novel way of browsing and analyzing the enormous logs of the experimental study, which aims to learn the knowledge and experience in the fields, is expected for evaluation. The conjugate gaze is thought as one of the important reference. Therefore, we intended to visualize it by estimating the participants FPVs by using the SLAM. In this paper, we described the method that to evaluate whether the input video is appropriate for the SLAM initialization, and the method that to consolidate these results to visualize conjugate gaze. In the experiments, we confirmed that the evaluation results indicated appropriate input from the FPVs for the SLAM initialization, and the conjugate gaze was detected from the estimated gaze.
Error Recovery for SLA-Based Workflows within the Business Grid

This chapter describes the error recovery mechanisms in the system handling the Grid-based workflow within the Service Level Agreement (SLA) context. It classifies the errors into two main categories. The first is the large-scale errors when one or several Grid sites are detached from the Grid system at a time. The second is the small-scale errors which may happen inside an RMS. For each type of error, the chapter introduces a recovery mechanism with the SLA context imposing the goal to the mechanisms. The authors believe that it is very useful to have an error recovery framework to avoid or eliminate the negative effects of the errors.
PHYSICOCHEMICAL AND SENSORY PROPERTIES OF PANCAKE ENRICHED WITH FREEZE DRIED DATE POMACE POWDER

Pancakes are starch-based products prepared by pouring batter onto a hot solid surface and cooking until solid. The main objective of this work is to evaluate physicochemical and sensory properties of pancake supplemented with freeze dried date pomace powder of Garn Ghzel date variety. Pancakes were prepared after incorporation of 20, 30 and 40% of freeze dried date pomace powder. Physicochemical and functional properties of different mixing powders used in formulations of pancake were characterized. Results showed that the incorporation rate of date pomace powder affected physicochemical and functional properties of different mixing powders (moisture, dry matter, ash, pH, titrable acidity, swelling index, true and bulk density), physicochemical characteristics (diameter, thickness, spread ratio, precooking weight, post-cooking weight, volume, specific volume, number of cell, moisture, dry matter, ash, pH and titrable acidity) and sensory properties of pancake in terms of homogeneity of distribution, sweet taste, taste of date, Brown color, spongy appearance, sticky undertooth, crunchy undertooth, size of alveoli, date odor intensity were evaluated. All pancake samples were acceptable; however sample with 30% of date pomace powder was most preferred. Findings showed that good and acceptable pancake could be produced using date pomace powder at different levels.
Derivative Sentence Breaking for Moore Alignment

By describing a method for efficient sentence alignment of bilingual corpora which requires no language-specific knowledge, Moore (2003) established an important new standard for this critical NLP task. However, the method still presumes sentence-broken input, posing considerable difficulties for languages with ambiguous sentence delineation. Taking Thai as our test case, we show that, when one of the languages in Moore alignment is sentence-ambiguous, deriving its sentence breaks according to the lengths of sentences in a parallel document can surpass the performance of standalone statistical sentence breaking.