Miracle-dz/UniFAR-FTUs huggingface dataset:
The Volatility Effect of Single-Stock Futures Trading on the Pakistani Stock Market

The impact of single stock futures on the spot market volatility is still a issue debated in finance literature. The aim of this study is to analyze the effect of introduction of single stock futures on the volatility of Karachi Stock Exchange. This study mainly addresses the changes in level of volatility and structure after the introduction of single stock futures. Twenty four companies listed on KSE were evaluated in terms of possible volatility effect due to stock futures trading. This study applied F-test for differences in variances as a traditional measure for volatility and GARCH(1,1) as a econometric technique for detecting time-varying volatility. The results showed that there was no effect on volatility level and changes were experienced with structure of volatility after stock futures trading.
Quantification Of Carinoembryonic Antigen By A Radioimmunoassay Of Human Plasma Samples In The Clinical Sheridan , Wyoming Area

Hurnan plasma samples were randomly acquired from clinics in the Sheridan, Wyoming area. These plasma samples were tested for the amount of Carcinoembryonic Antigen (CEA) present using a radioimmunoassay. The amount of CEA present TM in the samples was quantified using the CEA-ROCHE test kit with Clinetics Corporation gel acrylamide columns. The levels of CEA in comparison with national levels of healthy indi­ viduals were found to be slightly lower. The effects of inflammatory disorders found characteristically in patients visiting doctors' offices seemed to have a slight effect on the amount of CEA present. Particular areas also seem to have an effect on the average level of CEA.
Bayesian indicator variable selection to incorporate hierarchical overlapping group structure in multi-omics applications

Variable selection is a pervasive problem in modern highdimensional data analysis where the number of features often exceeds the sample size (a.k.a. small-n-large-p problem). Incorporation of group structure knowledge to improve variable selection has been widely studied. Here, we consider prior knowledge of a hierarchical overlapping group structure to improve variable selection in regression setting. In genomics applications, for instance, a biological pathway contains tens to hundreds of genes and a gene can be mapped to multiple experimentally measured features (such as its mRNA expression, copy number variation and methylation levels of possibly multiple sites). In addition to the hierarchical structure, the groups at the same level may overlap (e.g. two pathways can share common genes). Incorporating such hierarchical overlapping groups in traditional penalized regression setting remains a difficult optimization problem. Alternatively, we propose a Bayesian indicator model that can elegantly serve the purpose. We evaluate the model in simulations and two breast cancer examples, and demonstrate its superior performance over existing models. The result not only enhances prediction accuracy but also improves variable selection and model interpretation that lead to deeper biological insight of the disease.
The Embodied Meaning of Literature

This article is an attempt to link together the notions of representation and immersion within an interdisciplinary framework combining neuroscience, literary studies, and philosophy. What is representation? Can we define its mode of existence and describe its natural habitat? Does it live on the page of a novel, in the brain’s circumvolutions, or in-between? Is it possible to intensify our experience of representation through immersive reading? How can we reach such immersive altered state of consciousness? What are its ethical and ecological implications? These are the questions we will be addressing in the following pages, in which we will first explore the neurophysiological conditions of immersive embodied reading, before considering its opposition to the productive, in-control cognitive styles promoted by our rationalist modernity.
Requirements Engineering-Based Conceptual Modelling

The software production process involves a set of phases where a clear relationship and smooth transitions between them should be introduced. In this paper, a requirements engineering-based conceptual modelling approach is introduced as a way to improve the quality of the software production process. The aim of this approach is to provide a set of techniques and methods to capture software requirements and to provide a way to move from requirements to a conceptual schema in a traceable way. The approach combines a framework for requirements engineering (TRADE) and a graphical object-oriented method for conceptual modelling and code generation (OO-Method). The intended improvement of the software production process is accomplished by providing a precise methodological guidance to go from the user requirements (represented through the use of the appropriate TRADE techniques) to the conceptual schema that properly represents them (according to the conceptual constructs provided by the OO-Method). Additionally, as the OO-Method provides full modelbased code generation features, this combination minimises the time dedicated to obtaining the final software product.
Mott-like transition in alkanedithiol-linked gold clusters

First principle DFT calculations on small gold clusters linked by alkanedithiol chains with different molecular length (S2Cn , n = 2-10) have been performed. Once an insulating alkanedithiol molecule is covalently bonded to the gold clusters, we observed metal induced gap states (MIGS) that extend over an appreciable length into the molecular chain. These evanescent wavefunction and their overlaps could account for the observed Mott-like transition.
Rating prediction using textual reviews

Information today is present in the form of opinions. Two & a half quintillion bytes are exchanged today in Internet everyday and a large amount consists of people’s speculation and reflection over an issue. It is the need of the hour to be able to mine this information that is presented to us. Sentimental analysis refers to mining of this raw information to make sense. The discipline of opinion mining has seen a lot of encouragement in the past few years augmented by involvement of social media like Instagram, Facebook, and twitter. The hidden message in this web of information is useful in several fields such as marketing, political polls, product review, forecast market movement, Identifying detractor and promoter. In this endeavor, we introduced sentiment rating system for a particular text or paragraph to determine the opinions polarity. Firstly we resolve the searching problem, tokenization, classification, and reliable content identification. Secondly we extract probability for given text or paragraph for both positive & negative sentiment value using naive bayes classifier. At last we use sentiment dictionary (SD), sentiment degree dictionary (SDD) and negation dictionary (ND) for more accuracy. Later we blend all above mentioned factor into given formula to find the rating for the review.
A Multi-Task Approach to Incremental Dialogue State Tracking

Incrementality is a fundamental feature of language in real world use. To this point, however, the vast majority of work in automated dialogue processing has focused on language as turn based. In this paper we explore the challenge of incremental dialogue state tracking through the development and analysis of a multi-task approach to incremental dialogue state tracking. We present the design of our incremental dialogue state tracker in detail and provide evaluation against the well known Dialogue State Tracking Challenge 2 (DSTC2) dataset. In addition to a standard evaluation of the tracker, we also provide an analysis of the Incrementality phenomenon in our model’s performance by analyzing how early our models can produce correct predictions and how stable those predictions are. We ﬁnd that the Multi-Task Learning-based model achieves state-of-the-art results for incremental processing.
Exploring the Contents of Collective Identity of Party Adherents Some Thoughts and their Application

Party identification has rapidly become one of the most used concepts in empirical election studies since its first emergence in the 1950s. While most debates center on the applicability of the concept for other countries and its appropriate measurement, the contents of party identification and the collective identity of party adherents were never explored systematically. We start with the assumption that party identification must mean different things to different people. After conceptualizing party identification within the social identity framework and locating our necessary research foci, we draw on focus group interviews with SPD and GREEN adherents to explore the meaning of party identification on the collective level. Although both parties are part of the same ideological camp, we found that they both emphasize the importance of shared values, issues and goals as key components of collective identity, but differ when it comes to the myth of origin, customs and lifestyle aspects. 1 mayer@politik.uni-mainz.de 2 fitzpatrick@politik.uni-mainz.de Exploring the
Digital bond formation in long-term buyer-seller relationships

The progress achieved in microprocessors and relate d technologies has made information technology (IT) based solutions possible. The deplo yment of these solutions to enhance business activities was started first internally wi th elementary punch card systems and later on they were employed inter-organizationally to improve relationships. In spite of the increased popularity to study buyer-seller rela tionship, IT influences on business relationships and networks remains largely unstudie d area although recently some progress has been made. The purpose of the paper is to show with the help of a case study how digital bond is formed in the buyer-seller rela tionships in the steel industry context. It is argued that digital bond is a new type of bon d that is formed in IT mediated interaction between companies in addition to techno logy and other bonds presented in earlier research on bonding in business relationshi ps. Looking at the successful adoption of the IT and mobile technologies the development o f the formation of the digital bond is traced. With the help of the digital bond concept c reated it is possible to understand more fully the influences of digitization, enabled by IT , on business relationships. For academics, this paper provides interesting future r es arch avenues around the digital bond formation and its influences on business relationsh ips and networks. For managers, some insights are provided how digital bond is formed su ccessfully in a business relationship. Limitation of the paper is that only one case study was conducted in one industry sector.
The dual theory of AdS 3 gravity with free boundary conditions

A set of free boundary conditions for Einstein gravity on AdS3 was recently proposed. We compute the dual, two-dimensional theory corresponding to this system through an explicit Hamiltonian reduction of the Chern-Simons action for three-dimensional gravity. We show that this dual theory describes a Liouville field coupled to the conformal factor of the background metric and match its global symmetries to the asymptotic symmetries of the bulk.
Automation in Dense Linear Algebra

In this article we look at the generation of libraries for dense linear algebra operations from a different perspective: instead of focusing on the optimization (possibly automatically) of a routine, we address the question “what would it take for a computer to mechanically (automatically) generate high-performance algorithms, much like a human expert? ”. We will show that for a large class of operations, the mathematical description of the input and output variables represents the necessary and sufficient information for a symbolic system to generate loop-based algorithms as well as high-performance routines. Surprisingly, the generation process is entirely prescribed by a proof of correctness: taking Dijkstra’s advice, rather than starting from an algorithm and trying to prove its correctness, we systematically build one so that its correctness is guaranteed. This methodology is thus fundamentally different with respect to a standard auto-tuning approach: while auto-tuning often performs a parameter optimization over a large search space, our methodology and system rely on symbolic and algebraic transformations, and in principle, can be used to produce cost and error analyses hand in hand with the generated algorithms.
OntoElecting Requirements for Domain Ontologies

This paper reports on the use of the OntoElect methodology for evaluating the fitness of an existing ontology to the requirements of the knowledge stakeholders in a domain. It demonstrates, that a thorough routine for indirect elicitation, ensuring completeness, correctness of interpretation, using in ontology evaluation of these requirements is a must for ontology engineering. This is also valid if the requirements for ontology refinement are elaborated by a very high profile expert working groups. The approach used in the reported research is based on the use of OntoElect – the methodology for ontology refinement. The workflow of OntoElect contains three phases: feature elicitation, requirements conceptualization, and ontology evaluation. It elicits the set of terms extracted from a saturated collection of documents in the domain. It further sublimates these terms to the set of required features using the information about term significance in the form of numeric scores. Furthermore, it applies conceptualization and formalization activities to these features yielding their aggregations as ontological fragments interpreted as formalized requirements. Finally, the mappings are specified between the elements in the requirements and ontology elements. The scores are used in the mappings to indicate the strength of positive or negative votes regarding the evaluated ontology. The sum of the votes gives the overall numeric fitness measure of the ontology to the domain requirements. The paper presents the use of OntoElect in the use case of evaluating the W3C OWL-Time ontology against the requirements extracted from the proceedings of the TIME symposia series.
If, Then

The Spring 2017 issue of Ploughshares. Ploughshares is an award-winning journal of new writing. Two out of each year's three issues are guest-edited by prominent writers who explore different personal visions, aesthetics, and literary circles; the Winter issue is staff-edited.Acclaimed writer Jennifer Haigh guest-edits this poetry and prose issue of Ploughshares. As Haigh writes in her introduction, "By training or habit or simply natural inclination, the writer of literature is sensitive to invisible currents in the culture. We are made of porous stuff, highly absorbent. The writer is the box of baking soda at the back of the refrigerator, absorbing whatever is ambient. " With new poetry from Kaveh Akbar and Matthew Lippman, nonfiction from Vendela Vida, and fiction from Smith Henderson, Kristen Iskandrian, and Jess Walter, the work in this issue grapples with the current cultural environment.The issue is dedicated to Thomas Lux (1946-2017), a guest editor and longtime friend of Ploughshares, and a former Poet-in-Residence of Emerson College.
Internal Report : 2001-V 04 From Lines to Homographies between Uncalibrated Images

A robust method to compute homographies using lines in two uncalibrated images is presented and tested. Line features can usually be extracted and matched more accurately than points and they can be used in cases where there are partial occlusions. Lines and points are dual features to compute homographies, but some particular problems related to the representation and the normalization of data, avoiding singularities, must be considered in practice. Some experiments related to the robust selection of matched lines belonging to a plane have been used to test the presented method. The results show that the robust technique turns out stable and useful, and it opens interesting uncalibrated applications particularly in robot perception and navigation.
Running head : Violence Against Married Women in Egypt

I evaluate the influence of household wealth, women’s socioeconomic dependence, status inconsistency, and family organization on physical abuse in the prior year and attitudes about wife abuse and divorce among 2,522 married women in Minya, Egypt. Household wealth is negatively associated with physical abuse. Women who are dependent on marriage because they have sons and less schooling than their husbands are more likely to have experienced physical abuse and to report marginally more tolerance for such abuse. Women who are isolated from natal or biological kin and living with marital relatives are more likely to have experienced physical abuse. Findings underscore the role of women’s dependence and social isolation in enabling physical abuse among women of all economic classes. Word count (abstract): 119
Wing geometric parameter studies of a box wing aircraft configuration for subsonic flight

This work studies the characteristics of the aerodynamics design of a box wing aircraft (BWA) with the potential gain of aerodynamics efficiency. The first objective of this paper is to study how BWA planform geometric parameters affect the aerodynamics efficiency. This is carried out using literature data and vortex lattice program. The second objective is to compare aerodynamics efficiency between BWA and conventional mid-range market aircraft. These comparisons are done considering trimming, Reynolds number variation and two types of airfoils. Nomenclature AOA Angle of Attack AVL Athena Vortex Lattice AR Aspect Ratio b Aircraft span BWA Box Wing Aircraft CA Conventional Aircraft CD Drag coefficient CD0 Zero-lift drag coefficient CL Lift coefficient CL,ME Lift coefficient for maximum aerodynamics efficiency CL,ME[BWA] Lift coefficient for maximum aerodynamics efficiency of Box Wing Aircraft CL,ME[CA] Lift coefficient for maximum aerodynamics efficiency of Conventional Aircraft DI,BW Induced drag of a box wing DI,CW Induced drag of a conventional wing e Oswald coefficient EBWA Aerodynamics efficiency of Box Wing Aircraft ECA Aerodynamics efficiency of Box Wing Aircraft h Gap. Height between BWA wings h/b Gap to span ratio CL / CD Aerodynamic Efficiency M Mach Number NACA National Advisory Committee for Aeronautics NASA National Aeronautics and Space Administration Re Reynolds Number ReBWA Reynolds Number for Box Wing Aircraft flight ReCA Reynolds Number for Conventional Aircraft flight Vcruise Cruise speed VME Speed of maximum efficiency λ Lambda. Wing taper ratio DOI: 10.13009/EUCASS2017-447
BEYOND BEDFORD ; DEVELOPMENT OF A TWO-DIMENSIONAL PILOT WORKLOAD RATING SCALE

This paper presents the rationale for and development of a novel pilot workload rating scale, which seeks to address shortfalls identified in existing methods. The scale has been subjected to preliminary validation through both simulator assessments and rotarywing flight test activities. The results show that the concept can be used effectively and has a number of advantages over existing methods.
TESOL Master’s Theses in Vietnam: Relationship between abstracts and introductions

Although abstracts and introductions, which form a genre set in research articles, are reported to be related, few studies have explored their relationship in master’s theses or doctoral dissertations, especially those written in English by non-native English writers. Employing Chen and Kuo’s (2012) framework for analyzing master’s theses, this study showed the relationship between abstracts and introductions of 24 TESOL master’s theses written by Vietnamese students. Move 1 of these abstracts contained some identical information to that included in three moves of the introductions. A closer look at the overlapping points and the interview information from thesis writers and thesis supervisors revealed that these writers were inexperienced and tended to follow the way to write the introductions in composing the abstracts. These findings suggest that an appropriate amount of explicit, genre-based instruction is necessary to make these Vietnamese writers aware of the relationship between these two genres.
The level of ICT use and expertise by teachers in Chilean secondary schools

This paper presents the results of the third phase of a doctoral research carried out during the period 1999-2005. In this third phase (year 2002) data were collected in six secondary schools in the province of Ñuble, Chile, through multiple methods. The aim of this phase was to measure the level of ICT use and perceived expertise attained by secondary school teachers. Questionnaire data were used to measure teachers’ level of use and perceived expertise of specific ICT types. The results showed that teachers’ levels of ICT use (n=74), in terms of frequency and range of software types being used, were varied but tended to be low. Regarding teachers’ ICT expertise, teachers reported varied levels, with teachers perceiving themselves as having sufficient knowledge for undertaking basic tasks or good overall knowledge. The majority of teachers (n=60) perceived that they had attained a high level of ICT expertise in the use of computer skills in general and word-processing in particular, but not in many other applications. The results of a bivariate analysis showed a weak but significant statistical correlation between the variables ‘level of ICT use’ and ‘perceived ICT expertise’ for all types of ICT combined and spreadsheet software, meaning that having reportedly achieved high levels of ICT expertise did not necessarily lead to frequent and extensive use of ICT in teaching, but can partly explain the differing levels of ICT use and perceived expertise.
Lewin ’ s process model for organizational hange : The role of leadership and employee nvolvement : A critical review

Change is crucial for organizations in continuous growing and high competition in business environment. Different theories of change describe the effectiveness of modification of strategies, processes and structures for organizations. The action research model, the positive model and the Lewin’s change model submit the views of the phases for change in organization. This study views the Lewin’s model as three steps process (unfreezing, movement and refreezing) for change in organization. Although this model sets a general steps to be followed, more information is considered to guide these steps in specific situations. This article is critically reviewed for change theories in different phases of organizational change. In this critical review the change management has constructive framework for managing the organizational change through different phases of the process. This review gives theoretical and practical implications and somehow the immunity to change has been discussed. © 2016 Journal of Innovation & Knowledge. Published by Elsevier España, S.L. U. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/