Miracle-dz/UniFAR-FTUs huggingface dataset:
High frequency collocations and second language learning

This thesis explores the implications of high frequency collocation for adult second language learners. It addresses three main questions. First, it asks to what extent high frequency of occurrence in a corpus indicates that collocations are independently represented in the minds of native speakers. A word association study indicates that high frequency of occurrence is a fairly reliable predictor of mental representation, though this methodology does not allow us to determine the precise strength of the relationship. A series of lexical decision studies also show a relationship between frequency and representation, but effects are limited to those collocations which are sufficiently salient to also register as associates. This suggests that psycholinguistic 'priming' models may not be the best way of understanding collocation. Second, the thesis examines the idea that adult second language learners usually fail to retain the collocations to which they are exposed. This is tested through a lab-based training study and a learner-corpus study. Results suggest that adult learners are capable of learning collocations from input, but that 1) the relatively low levels of input to which most learners are exposed mean that they nevertheless tend not to attain native-like profiles of collocation use, and 2) input which provides repeated exposure to collocations can dramatically improve learning. Third, the thesis asks whether a useful pedagogical listing of frequent 'academic collocations' can be compiled. Results suggest that an academic collocation list is viable, but that important caveats need to be made concerning the nature of the collocations included and the range of disciplines for which such a listing will be useful. Moreover, listings of two-word collocations should be seen only as a starting point for more comprehensive phraseological listings. Suggestions will be made for ways in which we might go beyond such two-word listings.
Graphical password: Usable graphical password prototype

Recently, graphical passwords have become a viable alternative to the conventional passwords due to their security and us ability features. However, there are very limited researches in classifying, analyzing and developmen t of the graphical password techniques. In this paper, we will propose a new usable graphical password prototype of the recognition base graphical password. In this design we will focus on the usabi lity features of the system to give new usable graphical password system. Graphical passwords schemes are an alternative authentication method of the conventional password scheme in which users click on images to authenticate themselves rather than type the conventional passwords as lett ers or numbers or mixed. This research aims to design and come out with a new usable graphical pas sword prototype with the major important usability features. In this paper we will focus on implementation of the usability features on the new graphical password prototype design. This usability set includes the easy of use, memorize, creation, learning and satisfaction. Moreover, this work prop oses to build a new system of graphical password system that provides promising usability features.
Fuzzy inference models for short-term load forecasting with tabu search

In this paper, an optimal fuzzy inference approach to short-term load forecasting in power systems is proposed. The proposed method provides the optimal structure of fuzzy inference that optimizes the number and the location of the fuzzy membership functions so that the model errors are minimized. For simplicity, the simplified fuzzy inference is used to handle the output variable as the crisp number. Short-term load forecasting is one of the most important problems in power system operation and planning. High accuracy of the load forecasting improves system security and saves generation cost. The advantage of the fuzzy inference over ANN is that it allows to analyze the inference process with the fuzzy rules. Since the relationship between input and output variables is clarified, the results are intuitively understandable. However, the open problem is how to construct optimal fuzzy systems with respect to the number and the location of the fuzzy membership functions. This paper presents a new method for constructing the optimal structure of fuzzy inference with tabu search. Also, the parameters at the consequence are optimized with supervised learning. Fuzzy models with different input variables are tested in actual data.
Popping ( it ) Up : an exploration on popular culture and TV series Supernatural

| Supernatural is a TV series created in 2005 that draws inspiration from urban legends, folklore and mythological tales to tell the journey of two brothers who hunt monsters, ghosts and creatures from the underworld in an apocalyptic scenario. This article intends to explore Supernatural as a reflection of/on the present time, its main concerns and practices. First, it analyzes the show as part of a post-9/11 culture that is deeply affected by the events of 2001 and the underlying sense of terror. Even though the show privileges the horror genre as a framework to deal with 9/11-ensued fears and anxieties, it also brings into play many other genres that blur its categorization and reproduce today’s fast pace and fluidity. Second, the article looks at how the show integrates and has been integrated into contemporary pop culture. Supernatural is known for pushing the boundaries, communicating with other cultural products, self-referencing and interacting with the audience, thus fostering an active interchange between the show, pop culture products, different media, and viewers. The article therefore understands Supernatural as both a cultural manifestation and a manifestation of culture, a product that impacts popular culture and is, in turn, impacted by it. It investigates how the present social, cultural and political context in America has influenced the creation of the series and its plot, and how the use of popular culture references, which pop up regularly throughout the show and create a sublayer of meaning the viewer must decode and interpret, has become a distinctive characteristic of the show and a key factor for its success and durability.
An Extension of the ICP Algorithm for Modeling Nonrigid Objects with Mobile Robots

The iterative closest point (ICP) algorithm [2] is a popular method for modeling 3D objects from range data. The classical ICP algorithm rests on a rigid surface assumption. Building on recent work on nonrigid object models [5; 16; 9], this paper presents an ICP algorithm capable of modeling nonrigid objects, where individual scans may be subject to local deformations. We describe an integrated mathematical framework for simultaneously registering scans and recovering the surface configuration. To tackle the resulting high-dimensional optimization problems, we introduce a hierarchical method that first matches a coarse skeleton of scan points, then adapts local scan patches. The approach is implemented for a mobile robot capable of acquiring 3D models of objects.
Contribution of Tourism to Rural Community Livelihoods in the Murchison Falls Conservation Area, Uganda

Tourism is one of the growth sectors recognized for its role in socio-economic transformation and improvement in the livelihoods of rural communities in developing countries including Uganda. This study examined the contribution of tourism to the livelihoods of rural communities living around Murchison Falls Conservation Area (MFCA) from 1996 to 2015. Data were collected using a questionnaire, key informant interviews and focus group discussions. The exploratory factor analysis (EFA) was applied to the data to show the link between tourism development and rural households’ livelihoods. The results reveal that tourism generates incomes and contributes to rural households’ livelihoods through direct benefits (factor mean = 0.753), indirect benefits (factor mean = 0.826) and multiple forms of economic support given to the local community (factor mean = 0.807). In order to enhance and sustain these benefits, there is need to enhance business skills of the local communities through vocational training in tourism related enterprises, enhancing of markets for local products, the establishment of community-based tourism enterprise groups and savings and cooperative organizations (SACCOs).
Does Multitasking Interfere with Learning

Multitasking is generally assumed to increase our productivity. But, does it? During the past decade an increasing amount of research has examined various aspects of multitasking, including the differences between sequential and simultaneous processing, divided attention, continuous partial attention, and task switching (Abate, C., 2008; Applebaum, S. and Marchonni, A., 2008; Ben‐Shakhar, G. and Sheffer, L., 2001; Delbridge, K., 2001; Dux, P., Tombu, M., Harrison, S., Rogers, B., Tong, F. and Marois, R., 2009; Konig, C., Buhner, M., Murling, F., 2005; Loose, R., Kaufmann, C., Auer, D., Lange, K., 2003; Naveh‐Benjamin, M, Craik, F. I. M., Perretta, J. G., Tonev, S. T., 2000; Stone, L., 2007). There continues to be a variety of approaches taken when researching multitasking, some describing its advantages while others claiming it has a negative impact on nearly all that we do.
Discovering Scheduling Knowledge Through Project Data Mining

This project investigates multiple strategies for automatic discovery of scheduling knowledge from projects. In managing large projects with resource and budget constraints, project managers are often overwhelmed with complex project conditions and the large number of available tools. When faced with several alternatives that initially appear equally desirable, making a good judgment can be tedious and often a painful process. The goal of this project is to develop a hybrid system which can induce the relationship between project characteristics and heuristic scheduling performance, and extract meaningful rules t o guide managers in mining large project data. Preliminary experiments are conducted and demonstrate promising results. The modular structure of the system will facilitate the dynamic adaptation and learning to accommodate different project conditions. The resulting work will serve as a prototype system for further exploration of intelligent multi-agent architecture.
On the Competition between Ecn'S, Stock Markets and Market Makers

Favored by the Security Exchange Commission, Electronics Communication Networks (ECNs) have grown as alternative trading systems that enable to bypass the markets makers on the stock markets and allow investors to directly compensate and execute their orders with more discretion and at a lower cost. In this paper we underline the fragile character of the current ECNs and question their competitive advantages through empirical evidences. We find a rationale for market makers and ECNs' excessive spreads and overreactions. The use of network theory highlights notions of critical mass, open interface and alliances. Moreover, since competition between market makers and ECNs is based on volume, the emergence of ECNs has been mainly possible because of the growth of the American stock market. Furthermore, strategies of new ECNs are built on anticipated future growth. Should the market shrink, ECNs would rapidly be forced to merge and most of them would disappear.
Mario Morroni Incentive-Based and Knowledge-Based Theories of the Firm : Some Recent Developments

Incentive-Based and Knowledge-Based Theories of the Firm: Some Recent Developments This article presents a critical review of advances in incentive-based and knowledgebased theories of the firm. In particular, we address some developments in the incentive-based approach regarding relational contracts and contracts as “reference points”. As far as the evolution of knowledge-based theories is concerned, we focus on the interesting implications of the concept of dynamic capabilities. Finally, we investigate some recent attempts to bridge these two main streams of research, which have for a long time been regarded as rival rather than complementary. Classificazione JEL: D21, D23
The many faces of histone H 3 K 79 methylation

Dot1/DOT1L (disruptor of telomeric silencing-1) is an evolutionarily conserved histone methyltransferase that methylates lysine 79 located within the globular domain of histone H3. Dot1 was initially identified by a genetic screen as a disruptor of telomeric silencing in Saccharomyces cerevisiae; further, it is the only known non-SET domain containing histone methyltransferase. Methylation of H3K79 is involved in the regulation of telomeric silencing, cellular development, cell-cycle checkpoint, DNA repair, and regulation of transcription. hDot1Lmediated H3K79 methylation appears to have a crucial role in transformation as well as disease progression in leukemias involving several oncogenic fusion proteins. This review summarizes the multiple functions of Dot1/hDOT1L in a range of cellular processes.
CONSTANT INFLUENCE AND PECULIAR GRACE: THE ‘NEW BLACK’ IN COLLABORATIVE LEADERSHIP IN UNIVERSITIES

This paper explores leadership theory, research and practice as this applies to universities, particularly in Australia, in the context of the changing global context. It examines how relatively recent movements for shared, collaborative and distributed leadership in other domains is translated in educational settings – and more specifically in tertiary institutions. The paper identifies barriers, challenges and opportunities for staff working in academic, professional and administrative roles, and for students, in co-creating leadership for positive change within their universities.
Expression and Regulation of MuRF-1 and Atrogin-1 are Required for Skeletal Muscle Atrophy

Skeletal muscle atrophy is a debilitating consequence of many pathological conditions and diseases. The mechanisms for muscle atrophy could be attributed to an increase in protein degradation and/or a decrease in protein synthesis. The increase in protein degradation may be caused by the activation of the ubiquitin-proteasome proteolysis pathway. Many studies have confirmed the expression levels of two muscle-specific E3 ubiquitin ligases, MuRF-1 and atrogin-1, are increased in each type of skeletal muscle atrophy. However, the specific substrates for the MuRF-1 and atrogin-1 have not been clearly defined in the muscle degradation process. The expression of these two molecules are regulated by the activation of Nuclear Factor kappa B (NF-kB), forkhead type transcription factors (Foxo), and mitochondrial T3 receptor (p43). The expression and regulation of MuRF-1 and atrogin-1 in different diseases and conditions is the focus of this review. The aim of this review is to assist the research and therapy of skeletal muscle atrophy.
THE INFORMAL ECONOMY : CONCEPTUAL BACKGROUND AND THEORETICAL FRAMEWORK Gál Katalin Assist

The concept of informal economy first appeared in 1973 in a report by the International Labour Office (ILO), defined as an economic activity, which takes place within the informal sector and it is unregulated by law but governed by custom or personal ties. As a scientific research theme is quite young in economic and sociological spheres, but in the last four decades a vast literature has gathered on this subject, although there are missing the studies which synthesize the conceptual approaches and theoretical visions. The purpose of the present paper is to give a large scale synthesis trough a literature review about main theories, models and research methods analysis and synthesis on the informal economy, taking in consideration that it has been a controversial subject worldwide in the last decades.
Prosodic Focus in Vietnamese

This paper reports on pilot work on the expression of Information Structure in Vietnamese and argues that Focus in Vietnamese is exclusively expressed prosodically: there are no specific focus markers, and the language uses phonology to express intonational emphasis in similar ways to languages like English or German. The exploratory data indicates that (i) focus is prosodically expressed while word order remains constant, (ii) listeners show good recoverability of the intended focus structure, and (iii) that there is a trading relationship between several phonetic parameters (duration, f0, amplitude) involved to signal prosodic (acoustic) emphasis.
Performance of three GPS collars to monitor goats ’ grazing itineraries on mountain pastures

Despite more than 15 years of GPS use in studies with domesticated animals, surprisingly little high-resolution data was collected on grazing itineraries of livestock. It seems as if each research group has its preferred GPS tracking equipment, but little comparative data about the reliability of different types of collars are available. This study provides such data for three very different GPS collars that were tested on a human observer’s back and on herded goats in the rugged Hajar Mountains of northern Oman. At a set logging interval of 15 s, the obtained number of position fixes per minute varied from 2.3 to 3.8 and differed significantly (P < 0.001) between the three devices in obstructed terrain while differences were negligible (P > 0.05) in open terrain. The large variations between the devices in the obtained latitude, longitude and particularly the altitude data were likely due to differences in the factory-made basic setup of the GPS receivers which placed specific weights on signal reliability and trigonometric properties. In the topographically disrupted study environment, recorded values of the position dilution of precision (PDOP) proved to be of little use as indicators of position quality as they were poorly related to the precision of latitude, longitude and altitude values obtained. If accurate altitude data are required, such as for studies on animals’ energy expenditure, separate recording of variations in barometric pressure at the
Termcap and Terminfo

Preface. What This Book Contains. Typographic Conventions. Acknowledgements Part 1: Tutorial. Chapter 1 Introduction The Coming of Termcap The Coming of Terminfo What Termcap and Terminfo Do and Don't Control. Chapter 2 Reading Termcap and Terminfo Entries Where the Database is Stored Reading a Simple Entry Complete Sample Termcap Entries Complete Sample Terminfo Entries. Chapter 3 More Termcap and Terminfo Syntax Terminal Naming Conventions Padding Encoding Run Time Arguments. Chapter 4 Termcap, Terminfo and the Shell Environment Variables Default Terminal Type Specification Setting TERM with tset Initializing the Terminal with tset Initializing the Terminal with tput Using Terminfo Capabilities in Shell Programs. Chapter 5 Writing Termcap and Terminfo Entries Strategies for Obtaining Terminal Descriptions Modifying an Entry Creating an Entry From Scratch Writing the Entry Testing the New Entry Installing a Finished Entry. Chapter 6 Converting Between Termcap and Terminfo Converting From Termcap to Terminfo: captoinfo Converting From Terminfo to Termcap: infocmp Some Problems When Translating Other Uses of infocmp Comparing Termcap Entries. Part 2: Capability Reference. Chapter 7 Introduction to the Capabilities Syntax Used in Part 2 How to Read the Reference. Chapter 8 Screen Dimensions and Cursor Movement Screen Dimensions Local Cursor Movement Parameterized Local Cursor Movement Absolute Cursor Movement Scrolling Miscellaneous Local Movements Status Lines. Chapter 9 Editing the Screen Adding to the Screen Deleting From the Screen Insert Mode. Chapter 10 Initialization and Reset Termcap Initialization and Reset Terminfo Initialization and Reset Program Initialization Setting and Using Tabs Margins. Chapter 11 Special Effects Standout Mode Underlining Miscellaneous Highlight Modes and Alternate Character Sets Bells Cursor Intensity. Chapter 12 Special Keys Special Function Keys Extended Function Key Definitions Programmable Function Keys Keypad Keys Other Special Keyboard Keys Extended Special Key Descriptions. Chapter 13 Padding and XON/XOFF Padding Capabilities XON/XOFF Flow Control. Chapter 14 Special Terminals Glitch Capabilities Hardcopy Terminals Terminals With Local Printers Line Graphics Meta Modes. Chapter 15 Equivalent Terminals Equivalent Terminal Disabling Capabilities. Chapter 16 Miscellaneous Miscellaneous Miscellaneous (obsolete) Part 3: Appendices. Appendix A Capabilities Used by vi Appendix B Accessing Termcap From a C Program The Termcap Library Test Program Appendix C Accessing Terminfo From C Program The Terminfo Routines Test Program Capability Variable Names Appendix D List of Capabilities Index
Recognizing human gestures using a novel SVM tree

In this paper, a novel support vector machine (SVM) tree is proposed for gesture recognition from the silhouette images. A skeleton based strategy is adopted to extract the features from a video sequence representing any human gesture. In our binary tree implementation of SVM, the number of binary classifiers required is reduced since, instead of grouping different classes together in order to train a global classifier, we select two classes for training at every node of the tree and use probability theory to classify the remaining points based on their similarities and differences to the two classes used for training. This process is carried on, randomly selecting two classes for training at a node, thus creating two child nodes and subsequently assigning the classes to the nodes derived. In the classification phase, we start out at the root node. At each node of the tree, a binary decision is made regarding the assignment of the input data point to either of the group represented by the left and right sub-tree of the node which may contain multiple classes. This is repeated recursively downward until we reach a leaf node that represents the class to which the input data point belonging. Finally, the proposed framework is tested on various data sets to check its efficiency. Encouraging results are achieved in terms of classification accuracy.
TARGET TRACKING BASED ON BASE STATION NODE USING PREDICTION METHOD AND CLUSTER STRUCTURE IN WIRELESS SENSOR NETWORKS

One of the most important and major challenging issues of wireless sensor networks is the tracking of mobile targets. The network continuously reports the spatial information of moving objects during specified periods to the base station. In this paper, by introducing new a protocol with two versions, of which, one of them is based on dynamic clustering with a focus on the base station, and the other is based on a predictive system for increasing the tracking accuracy of the objects movement and decreasing the energy consumption as well. In this paper, the task of clustering involves in determining the cluster heads, the number of cluster members, the selection of cluster members, and managing the activation of the nodes that is done by the base station. On the other hand, given that the base station is outside the field of wireless sensor networks and is connected to an unlimited power source. The second version of the proposed protocol is based on a predictive algorithm that it was inspired from the first proposed version in the role of the base station node by a prediction method. In this paper, three heuristic models are introduced to select the speed and direction in prediction models. They are instant, average and exponential-average models. These models can track the relevant targets more accurately and reduce the number of missing targets. The simulations are done in different scenarios in a custom developed tool. The results of simulation show a good performance of them in the network lifetime and target tracking applications.