Crystal structure of 3-{(E)-[(3, 4-dichloro-phenyl)imino]methyl}benzene-1, 2-diol

The authors acknowledge the provision of funds for the purchase of diffractometer and encouragement by Dr.Muhammad Akram Chaudhary, Vice Chancellor, University of Sargodha, Pakistan.Peer reviewedPublisher PD

A machine learning approach to the Berezinskii-Kosterlitz-Thouless transition in classical and quantum models

The Berezinskii-Kosterlitz-Thouless transition is a very specific phase transition where all thermodynamic quantities are smooth. Therefore, it is difficult to determine the critical temperature in a precise way. In this paper we demonstrate how neural networks can be used to perform this task. In particular, we study how the accuracy of the transition identification depends on the way the neural networks are trained. We apply our approach to three different systems: (i) the classical XY model, (ii) the phase-fermion model, where classical and quantum degrees of freedom are coupled and (iii) the quantum XY model.Comment: 11 pages, 7 figure

Non-Invasive Induction Link Model for Implantable Biomedical Microsystems: Pacemaker to Monitor Arrhythmic Patients in Body Area Networks

In this paper, a non-invasive inductive link model for an Implantable Biomedical Microsystems (IBMs) such as, a pacemaker to monitor Arrhythmic Patients (APs) in Body Area Networks (BANs) is proposed. The model acts as a driving source to keep the batteries charged, inside a device called, pacemaker. The device monitors any drift from natural human heart beats, a condition of arrythmia and also in turn, produces electrical pulses that create forced rhythms that, matches with the original normal heart rhythms. It constantly sends a medical report to the health center to keep the medical personnel aware of the patient's conditions and let them handle any critical condition, before it actually happens. Two equivalent models are compared by carrying the simulations, based on the parameters of voltage gain and link efficiency. Results depict that the series tuned primary and parallel tuned secondary circuit achieves the best results for both the parameters, keeping in view the constraint of coupling co-efficient (k), which should be less than a value \emph{0.45} as, desirable for the safety of body tissues.Comment: IEEE 8th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA'13), Compiegne, Franc

DAEL framework: a new adaptive e-learning framework for students with dyslexia

This paper reports on an extensive study conducted on the existing frameworks and relevant theories that lead to a better understanding of the requirements of an e-learning tool for people with dyslexia. The DAEL framework has been developed with respect to four different dimensions: presentation, hypermediality, acceptability and accessibility, and user experience. However, there has been no research on the different types of dyslexia and the dyslexic user’s viewpoint as they affect application design. Therefore, in this paper a framework is proposed which would conform to the standards of acceptability and accessibility for dyslexic students. We hypothesise that an e-learning application, which will adopt itself according to individuals’ dyslexia types, will advantage the dyslexics’ individuals in their learning process

Dyslexia adaptive e-learning system based on multi-layer architecture

The key shortcoming of traditional e-learning systems is that the learning they promote is not adaptive. This paper analyses the e-learning activity of individuals with dyslexia and proposes an innovative design for an e-learning system. This new system is user-centric and interactive based on information about the user’s learning preferences. The proposed system design employs a multi-layer architecture, including a presentation layer, an adaption layer, a learning management system layer, an application server layer and a database layer. The learning management system layer contains all the possible systems that provide resources to support the learning process, hence improving the system’s reusability. The adaption layer provides the system’s adaptive technique functionality, which makes it more intelligent and adaptive – the main objective of this research

Personalised learning materials based on dyslexia types: ontological approach

In recent years, e-learning systems have played an increasingly important role in higher education and, in particular, in enhancing learning experiences for individuals who have learning difficulties. However, it appears that many of the people involved in the development and implementation of e-learning tools overlook the needs of dyslexic students. As such, these students lack access to the resources on offer to other students and this leads to a disability divide. In order for educational initiatives to be effective, learning experiences need to be tailored to the individual needs of each student and the materials and tools employed should be aligned with the student’s needs, capabilities and learning objectives. The objective of this research was to propose an ontology that will facilitate the development of learning methods and technologies that are aligned with dyslexia types and symptoms. The paper commences with a discussion of domain ontology and examines how learning objectives that take into consideration a student’s capabilities and needs can be matched with appropriate assistive technology in order to deliver effective e-learning experiences and educational resources that can be consistently employed. The ontology employed within this study was developed using Ontology Web Language (OWL), an information processing system that allows applications to handle both the content and the presentation of the information available on the web. Two characteristics were employed within this research to describe each resource: dyslexia type and the features of assistive technologies that were deemed to be most appropriate for educational experiences targeted at each dyslexia type