Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of E-WOM and Social Media Usage on Purchase Decision in Clothing Industry

The aim of this study was to determine the effect of social media usage and electronic word of mouth (E-WOM) on purchase decision through consumer trust. This research was conducted on customers of clothing industry in Indonesia. The study conducted survey and collected data from a sample of 151 respondents who buy clothing products online by using convenience sampling method. The study analyzed data using Partial Least Square Structure Equation Modeling (PLS-SEM). The results of this study found that social media usage does not have a significant effect on purchase decision. Social media usage also does not have a significant effect on trust. E-WOM has a significant effect on purchase decision. E-WOM has a significant effect on trust. Trust has a significant effect on purchase decision. Social media usage and E-WOM has no significant effect on purchase decision mediated by trust.
Automated Detection of Infant Holding Using Wearable Sensing

Physical contact is critical for children's physical and emotional growth and well-being. Previous studies of physical contact are limited to relatively short periods of direct observation and self-report methods. These methods limit researchers' understanding of the natural variation in physical contact across families, and its specific impacts on child development. In this study we develop a mobile sensing platform that can provide objective, unobtrusive, and continuous measurements of physical contact in naturalistic home interactions. Using commercially available motion detectors, our model reaches an accuracy of 0.870 (std: 0.059) for a second-by-second binary classification of holding. In addition, we detail five assessment scenarios applicable to the development of activity recognition models for social science research, where required accuracy may vary as a function of the intended use. Finally, we propose a grand vision for leveraging mobile sensors to access high-density markers of multiple determinants of early parent-child interactions, with implications for basic science and intervention.
Improved-PSO Approach for a Steganographic Embedding Scheme

In this paper, we intend to tackle the steganography task by a bio-inspired approach. Indeed, a novel embedding scheme using the substitution principle of LSB and related to an improved version of particle swarm optimization algorithm is proposed. To fulfill the requirement of an efficient steganographic tool, some updating at the evolution rules of a particle were done. The improved-PSO embedding scheme looks for the best pixels locations, and eventually the best pixels bits to hide secret messages -both text and image- without degrading the quality of the original image. Thus, the robustness of the proposed steganographic scheme relates strongly on the strength of the improved-PSO algorithm in order to achieve higher imperceptibility. Three test cases were undertaken to highlight the performance of the improved-PSO embedding scheme.
Statistical modeling and analysis of audio-visual association in speech

Currently, most dialog systems are restricted to single user environments. This thesis aims to promote an untethered multi-person dialog system by exploring approaches to help solve the speech correspondence problem (i.e. who, if anyone, is currently speaking). We adopt a statistical framework in which this problem is put in the form of a hypothesis test and focus on the subtask of discriminating between associated and non-associated audio-visual observations. Various methods for modeling our audio-visual observations and ways of carrying out this test are studied and their relative performance is compared. We discuss issues that arise from the inherently high dimensional nature of audio-visual data and address these issues by exploring different techniques for finding low-dimensional informative subspaces in which we can perform our hypothesis tests. We study our ability to learn a person-specific as well as a generic model for measuring audio-visual association and evaluate performance on multiple subjects taken from MIT's AVTIMIT database. Thesis Supervisor: Trevor Darrell Title: Associate Professor EECS Thesis Supervisor: John W. Fisher Title: Principal Research Scientist EECS
A new optimization algorithm based on chaos

In this article, some methods are proposed for enhancing the converging velocity of the COA (chaos optimization algorithm) based on using carrier wave two times, which can greatly increase the speed and efficiency of the first carrier wave’s search for the optimal point in implementing the sophisticated searching during the second carrier wave is faster and more accurate. In addition, the concept of using the carrier wave three times is proposed and put into practice to tackle the multi-variables optimization problems, where the searching for the optimal point of the last several variables is frequently worse than the first several ones.
Modelling—The Language of the Designer

SUMMARY Modelling is the language by which the designer or product developer can elaborate, synthesize, evaluate and communicate. There exists a number of model types, supplementing each other and, all together, supporting the design procedure from initial recognition of a market need through until the product is sold. In European design methodology, the central problem has been to determine the set of design characteristies able to describe the design progress and to create models able to handle these characteristies. These models and their concepts may be seen as a design language. By accepting such a language developed by a design school and by using the design methodology, the designer can tell us about the usability of this school and the 'truth' of the theories. This article aims to show the role of modelling in design and the many open questions needed to be answered (by design science) in order to develop better tools. The article is rather an essay with personal, calaidoscopic consideration focus.
Peer assisted learning and blogging: A strategy to promote reflective practice during clinical fieldwork

The use of peer assisted learning in clinical education is explored in this case study. Groups of undergraduate physiotherapy students were structured into communities of practice during the second half of their clinical fieldwork program. They collaborated online in an asynchronous manner, using information communications technology (blogs) and focussed their discussion on professional practice and evidence based practice issues. Each blog group was composed of four to five fourth year physiotherapy students in their final year of clinical fieldwork. Each blog group was moderated by an academic moderator. Focus groups were structured to collect information on the experience and outcomes associated with the community of practice experience. The blog was very valuable and heightened learning, built trust, and supported learners to integrate theory to practice. A range of issues were also identified, however, that need to be considered to improve the blogging experience such as increasing the size of the group and providing more detailed guidelines. Clinical fieldwork programs looking to elevate the reflective practice component of professional development should consider blogging as an option.
On discrete-time uncertain visual based control of planar manipulators: an online algebraic identification approach

A new algebraic method, developed by the authors for the online identification of uncertain parameters in linear controlled dynamic systems, is used in the complete, discrete-time formulated solution of the perturbed visual feedback based position trajectory tracking control for planar manipulators, as provided by a fixed camera with unknown calibration parameters. Specifically, we hypothesize unknown camera scaling factor, unknown camera angular orientation and uncertainty, but with constant bias perturbation inputs in the visual flow dynamics. Digital simulations, additionally including unmodelled computer generated stochastic inputs, illustrate the robust performance of the proposed closed loop control-identification scheme.
Multiple Conceptual Models of a Complex System

Abstract : This paper describes some of the strategies and knowledge tutors use in teaching about the causes of rainfall. Underlying a tutor's ability to diagnose and correct students' misconceptions are a set of models of the rainfall process. These models allow students to understand a system from different points of view and to derive the consequences of changing different critical variables in the model. Students' misconceptions often derive from incorrect models of the system and diagnosing these misconceptions requires expert knowledge of what distortions can occur in student's models. (Author)
Case Studies of Distance Students' Perceptions of Participation And Interaction In Three Asynchronous Web-based Conferencing Classes In The U.S

To understand distance students’ perceptions of participation an interaction in 3 asynchronous web-based conferencing classes offered by Language Education Department at a large Midwestern University in the U.S., end-of-semester course evaluation and follow-up e-mail survey was analyzed for different components of classroom interaction. Findings suggested that students perceived no difference regarding quantity of feedback from peers or instructors in web-based courses face-to-face courses. They also tended to agree that they received more valuable feedback from both peers and instructors in web-based courses than in face-to-face courses. It was also reported that feedback was received more promptly from peers and instructors alike in web-based courses than in face-to-face courses. Limitations of the study were discussed and recommendations for teachers and researcher presented.
Early detection of morbidity in feedlot cattle using pattern recognition techniques

Computer algorithms are routinely used to aid in the identification of biological patterns not easily detected with standard statistics. Currently, observed changes in normal patterns of feeding behavior (FB) are used to identify morbid feedlot cattle. The objective of this study was to use pattern classification techniques to develop algorithms capable of identifying morbid (M) cattle earlier than traditional pen checking methods. In two separate studies, individual feeding behaviour was obtained from 384 feedlot steers (228± 22.7 kg, initial BW) in a 226 d trial (model dataset), and 384 feedlot heifers (322 ± 34.7 kg, initial BW) in a 142 d trial (naive dataset). Data was collected using an automated feed bunk monitoring system. FB variables calculated included feeding duration, inter-meal interval (min., max., avg., SD and total; min/d) and feeding frequency (visits/d). Animal health records including the number of times treated, d in the hospital and d on feed were also collected. Ninety-three and 53 morbid (M) animals were identified in each trial respectively, and were categorized into low, moderate and high groups, based on severity of sickness. FB data for 68 cattle from the model dataset (45 classified as Moderate and 25 classified as High) was analyzed to develop an algorithm which would aid in identifying morbid FB. This algorithm was later tested on 18 M animals (12 classified as Moderate and 6 as High) in the naive dataset. The pattern recognition procedure involved reducing data dimensionality via Principal Component Analysis, followed by K-means clustering and finally the development of a binary string to aid in the classification of M feeding behaviour. The developed procedure resulted in an overall classification accuracy of 84 % (82.5 and 85 % accuracy for H and M, respectively) for the model dataset, and 75 % overall (100 and 50 % accuracy for H and
Benchmark Generator for CEC'2009 Competition on Dynamic Optimization

1Department of Computer Science, University of Leicester University Road, Leicester LE1 7RH, UK 2CERCIA, School of Computer Science, University of Birmingham Edgbaston, Birmingham B15 2TT, U.K. 3Honda Research Institute Europe, 63073 Offenbach/Main, Germany 4Department of Computer Science, Vorarlberg University of Applied Sciences, Austria 5School of EEE, Nanyang Technological University, Singapore, 639798
Aspectj in Action: Practical Aspect-Oriented Programming

This is a practical guide to AOP and Aspect J. The re-usable code examples will enable quick implementation of functionality. *ApectJ enables AOP programming in Java by adding a few new language constructs.By using Java as the base language and creating a final system that is compatible with Java byte code specification, AspectJ passes on all the benefits of Java. *The use of Java as the base language also makes AspectJ a relatively easy language to learn. *Book is divided into three parts: Introduction, Examples and everyday situations in which to use. A software system is the realization of a set of concerns. One of the central premises of object-oriented programming is that each concern should be implemented as a separate module. However, there are certain system-wide concerns, such as logging, security, performance and so forth, that often need to be addressed in many, if not all of the modules. Consequently, the code to handle these system-wide concerns may be mixed in with the core logic of a huge number of modules, resulting in lower productivity, poor quality and systems that are hard to evolve.Aspect-oriented programming overcomes these problems by modularizing the system-wide concerns. AspectJ enables AOP programming in Java by adding a few new language constructs. By using Java as the base language and creating a final system that is compatible with Java byte code specification, AspectJ passes on all the benefits of Java. The use of Java as the base language also makesd AspectJ a relatively easy language to learn.
People and Information Matter: Task Support Satisfaction from the other Side

Information systems (IS) are designed with the intention of helping workers perform their tasks. This is not necessarily obvious in the systems' failures. Frequently, one of the reasons for failure is that the systems did not help the workers perform their tasks better. Views of the IS professionals can aid in comprehending the effect of IS on task support satisfaction. A model was developed on the basis of the IS success model. Survey data was collected. Data analysis of the structural equation model (SEM) has shown that the quality of information and the characteristics of end-users affect task support satisfaction.
The Processes Involved in Designing Software.

Abstract : A design task involves a complex set of processes. Starting from a global statement of the problem, a designer must develop a precise plan for a solution that can be realized in some concrete way. Software design, which is investigated in this paper, is the process of translating a set of task requirements into a structural description of a computer program that will perform the task. Through experience, designers acquire knowledge concerning the overall structure of a good design and of the processes of generating one. Using this knowledge, they direct their actions to insure that their designs will satisfy these constraints. We call this abstract knowledge about designs and design processes, along with a set of procedures which implement these processes, a 'design schema'. This paper describes the design schema of experienced software designers and illustrates its operation by considering thinking-aloud protocols collected from both expert and novice designers. (Author)
Using a genre-based approach to integrating content and language in CLIL: the example of secondary history

Book synopsis: This volume explores a highly topical issue in second and foreign language education: the spreading practice in mainstream education to teach content subjects through a foreign language. CLIL has been enthusiastically embraced as a language enrichment measure in many contexts and finally research can offer principled insights into its dynamics and potentials. The editors’ introductory and concluding chapters offer a synthesis of current CLIL research as well as a critical discussion of unresolved issues relating both to theoretical concerns and research practice. The individual contributions by authors from a range of European contexts report on current empirical research in this dynamic field. The focus of these chapters ranges from theoretical to empirical, from learning outcomes to classroom talk, examining both the written and spoken mode across secondary and tertiary educational contexts. This volume is a valuable resource not only for researchers and teachers but also for policy makers.
Applied Statistical Genetics with R for Population-Based Association Studies

The book aims at filling a real gap in the literature. Statistical genetics topics are presented only in specialized texts that can often appear as unapproachable to graduate students in statistics, unless they have made a clear commitment to this branch of the discipline. In addition, while the statistical genetics community has been for a long time conscious of the importance of releasing software for anyone to use, and assuring the reproducibility of research, this software consists of a series of specialized packages, so that often the beginner is lost in the need of learning the syntax of many different programs. This specialization is largely unavoidable: statistical genetics deals with data with a complex dependence structure, determined by the familial relations of the subjects, the joint transmission of adjacent portions of the genome, etc.
The Morphology and Syntax of Determiner Phrases in Kiswahili

Professional Experience Teaching & Research 2014-present Professor, Dept. of Linguistics, Southern Illinois University Carbondale. 2019 Invited instructor for the course “Comparative Syntax” at the 5th African Linguistics School, Rhodes University, Makhanda, South Africa. 2016 Invited instructor for the course “Comparative Syntax” at the 4th African Linguistics School, Yamoussoukro, Côte d’Ivoire. 2013 Invited instructor for the course “Agreement and word order in Minimalist theory,” LSA linguistic institute at University of Michigan, Ann Arbor. 2005-2014 Associate Professor, Dept. of English, University of Missouri (MU). 2000-2005 Assistant Professor, Dept. of English, University of Missouri. 1997 Invited instructor for “Seminar on Bantu syntax,” LSA linguistic institute, Cornell University. 1995-2000 Assistant Professor, Dept. of Linguistics, Cornell University. 1991-1994 Assistant Professor, Dept. of Modern Languages and Linguistics/ Africana Studies and Research Center (DMLL/ASRC), Cornell University 1988-1991 Instructor, DMLL/ASRC, Cornell University. 1986-1987 Lecturer in Yoruba and Swahili, Yale Program in African Languages.
Noun Phrase in the Generative Perspective

The goal of this book is twofold. On the one hand we want to offer a discussion of some of the more important properties of the nominal projection, on the other hand we want to provide the reader with tools for syntactic analysis which apply to the structure of DP but which are also relevant for other domains of syntax. In order to achieve this dual goal we will discuss phenomena which are related to the nominal projection in relation to other syntactic phenomena (e.g. pro drop will be related to N-ellipsis, the classification of pronouns will be applied to the syntax of possessive pronouns, N-movement will be compared to V-movement, the syntax of the genitive construction will be related to that of predicate inversion etc.). In the various chapters we will show how recent theoretical proposals (distributed morphology, anti-symmetry, checking theory) can cast light on aspects of the syntax of the NP. When necessary, we will provide a brief introduction of these theoretical proposals. We will also indicate problems with these analyses, whether they be inherent to the theories as such (e.g. what is the trigger for movement in antisymmetric approaches) or to the particular instantiations. The book cannot and will not provide the definitive analysis of the syntax of noun phrases. We consider that this would not be possible, given the current flux in generative syntax, with many new theoretical proposals being developed and explored, but the book aims at giving the reader the tools with which to conduct research and to evaluate proposals in the literature. In the discussion of various issues, we will apply the framework that is most adequate to deal with problems at hand. We will therefore not necessarily use the same approach throughout the discussion. Though proposals in the literature will be referred to when relevant, we cannot attempt to provide a critical survey of the literature. We feel that such a survey would be guided too strongly by theoretical choices, which would not be compatible with the pedagogical purposes this book has. The book is comparative in its approach, and data from different languages will be examined, including English, German, Dutch (West-Flemish), Greek, Romance, Semitic, Slavic, Albanian, Hungarian, Gungbe.
Individual Differences and Processing Instruction

This collection of essays builds on the authors’ previous work and aims to open an additional branch of research in processing instruction, and to stimulate further research. This is the first collection of studies that empirically addresses the role that individual differences, such as age, gender, and native language background, might play in the results generated by processing instruction.
Speaker verification scores and acoustic analysis of a professional impersonator

Apparatus for injection molding of hollow plastic articles having substantially uniform wall thickness throughout. Plastic is injected into a mold cavity around an article-defining core member. Associated with the core member is a movable sleeve member which controls the disposition of the plastic material around the core and retains the core centrally located within the cavity.
A hardware efficient direct digital frequency synthesizer

In this paper, a hardware efficient direct digital frequency synthesizer (DDFS) implementation is presented. To decrease the DDFS hardware requirements, we minimized the size of the lookup table and the other logic parts. The proposed ROM compression algorithm gives a high compression ratio of 236:1. It requires an adder/subtractor and a multiplier. The hardware is further reduced by replacing the standard multiplier with a truncated multiplier. Compared with the previously presented solutions, the proposed DDFS has higher hardware efficiency with equal spurious performance. The synthesizer generates 12-bit sine and cosine waveforms with -84.3 dBc spectral purity, 0.37 Hz frequency resolution, and maximum clock frequency of 100 MHz.
Towards a Method for Collaborative Policy Making

This paper is concerned with the development of a method for collaborative policy making. The aim of this method is to improve the quality of policymaking processes. The creation of policies is a collaborative process. The quality of this collaboration has a profound impact on the quality of the resulting policies and the acceptance by its stakeholders. We therefore aim to integrate techniques from the field of collaboration engineering into our policy making method in order to improve the quality of the process and its outcomes. We present the results of two case studies conducted on the use of collaboration engineering in the context of policy making processes. A key element in this result involves the initial design of a method for policy making in terms of elementary constructs from collaboration engineering.