SkillBot: Towards Data Augmentation using Transformer language model and linguistic evaluation

Creating accurate, closed-domain, and machine learning-based chatbots that perform language understanding (intent prediction/detection) and language generation (response generation) requires significant datasets derived from specific knowledge domains. The common challenge in developing a closed-domain chatbot application is the lack of a comprehensive dataset. Such scarcity of the dataset can be complemented by augmenting the dataset with the use of state- of-the-art technologies existing in the field of Natural Language Processing, called ‘Transformer Models’. Our applied computing project experimented with a ‘Generative Pre-trained Transformer’ model, a unidirectional transformer decoder model for augmenting an original dataset limited in size and manually authored. This model uses unidirectional contextual representation i.e., text input is processed from left to right while computing embeddings corresponding to the input sentences. The primary goal of the project was to leverage the potential of a pre-trained transformer-based language model in augmenting an existing, but limited dataset. Additionally, the idea for using the model for text generation and appending the generated embedding to the input embedding supplied was to preserve the intent for the augmented utterances as well as to find a different form of expressions for the same intent which could be expressed by the potential users in the future. Our experiment showed improved performance for understanding language and generation for the chatbot model trained on the augmented dataset indicating that a pre-trained language model can be beneficial for the effective working of natural language-based applications such as a chatbot model trained on the augmented dataset indicating that a pre-trained language model can be beneficial for the effective working of natural language-based applications such as a chatbo

Review on Color Image Encryption Algorithm based on Pseudorandom Number Key

In secure communication, image encryption schemes transform clear images into unintelligible others. The fundamental techniques used to encrypt a block of pixels are substitution and permutation. In recent years focuses on designing of highly robust encryption schemes (i.e., which provide good confusion and diffusion properties, to ensure desired security factor), either using peculiar pixel shuffling methods, or using innovative digital chaos-based ciphers, or by making justified compositions between these different pixel shuffling and ciphering techniques. Almost some encryption schemes based on permutation had already been found insecure against the cipher text-only and known/chosen-plaintext attacks, due to the high information redundancy, and it is quite understandable since the secret permutations can be recovered by comparing the plaintexts and the permuted cipher texts. Generally, chaos-based image encryption algorithms are used more often than others but require high computational cost. Moreover, a chaos system is defined on real numbers while the cryptosystems are defined on finite sets of integers. Furthermore, spatial domain scrambling has defect that the statistical characteristics of image are not changed after scrambling. Therefore, it is not secure to perform scrambling in spatial domain. The image encryption methods based on frequency domain encrypt/decrypt the images by modifying the image frequencies. One can recover the original plain image exactly via a reverse process

Positronium reflection and positronium beams

Specular reflection of positronium, Ps was observed and that there is adequate intensity at higher energies to make further study worthwhile was established. The scattering appears to be restricted to the outermost surface with a mean free path of (0.75 + or - 0.15)A for Ps in LiF(100). With a greater intensity Ps beam one should see higher order diffraction beams as the result of the periodicity of the surface. Ps diffraction thus offers the possibility of being a novel and valuable probe to study the outermost surface and to study adsorbants on it. Two methods for producing Ps beams are described

Structural and magnetic properties of an InGaAs/Fe3_3Si superlattice in cylindrical geometry

The structure and the magnetic properties of an InGaAs/Fe3Si superlattice in a cylindrical geometry are investigated by electron microscopy techniques, x-ray diffraction and magnetometry. To form a radial superlattice, a pseudomorphic InGaAs/Fe3As bilayer has been released from its substrate self-forming into a rolled-up microtube. Oxide-free interfaces as well as areas of crystalline bonding are observed and an overall lattice mismatch between succeeding layers is determined. The cylindrical symmetry of the final radial superlattice shows a significant effect on the magnetization behavior of the rolled-up layers

Free-vibration Characteristics of Laminated Angle-ply Non-circular Cylindrical Shells

This paper deals with the free-vibration behaviour of anisotropic laminated angle-ply noncircular cylindrical shells using finite element approach. The formulation is based on first-ordershear deformation theory. The present model accounts for in-plane and rotary inertia effects. A detailed study has been carried out to highlight the effects of shell geometry, cross-sectionalproperties, lay-up and ply-angles on the natural frequencies of different types of modes of vibration of non-circular elliptical shell structures

Characteristics of Patients with Tuberculous Pleural Effusion in Rural Nepal

  Introduction: Tuberculosis (TB) is a major cause of mortality and morbidity in developing countries. TubercularPleural effusion is the second most common form of extra pulmonary tuberculosis (EPTB), superseded in Prevalence only by lymph node tuberculosis. Pleural effusion occurs in approximately 5% of patients with TB. The purpose of this study was to assess the demographic characteristics of patients presenting with pleural effusion in rural Nepal.   Methods: A retrospective study was conducted with all the cases diagnosed and admitted with pleural effusion at Lumbini Medical College And Teaching Hospital from April 2011 to March 2013 of all the cases diagnosed andadmitted with pleural effusion were included in the study. Hundred cases diagnosed with pleural effusion by clinical Examination or chest X-ray or ultrasonography’s (USG) of the chest were included in the studied. The following parameters patients demographic profile, causes of pleural effusion, location (unilateral/bilateral), hemoglobin and complete blood count, sputum stain and culture sensitivity, Monteux test, chest X-ray and USG findings and Pleural fluid analysis (biochemical, hematological, microbiological and cytological) were analyzed by using SPSS 21.   Results: Out of 100 cases, the cause of pleural effusion in 59 patients was tuberculosis, 14 by malignancy, next 14 by Para pneumonic Effusion, 12 by congestive cardiac failure and three cases by alcoholic liver disease. Patients with tuberculous pleural effusion were younger, predominantly males, had unilateral effusion, lower blood hemoglobin, lower Pleural fluid neutrophils, higher pleural fluid Adenosine Deaminase (ADA) levels and higher level of pleural fluid to serum protein ratio as compared to the patients with non-tuberculous effusion.   Conclusion: Tuberculosis is the most common cause of pleural effusion in patients of rural Nepal

Tension Dynamics and Linear Viscoelastic Behavior of a Single Semiflexible Polymer Chain

We study the dynamical response of a single semiflexible polymer chain based on the theory developed by Hallatschek et al. for the wormlike-chain model. The linear viscoelastic response under oscillatory forces acting at the two chain ends is derived analytically as a function of the oscillation frequency . We shall show that the real part of the complex compliance in the low frequency limit is consistent with the static result of Marko and Siggia whereas the imaginary part exhibits the power-law dependence +1/2. On the other hand, these compliances decrease as the power law -7/8 for the high frequency limit. These are different from those of the Rouse dynamics. A scaling argument is developed to understand these novel results.Comment: 23 pages, 6 figure

R spider: a network-based analysis of gene lists by combining signaling and metabolic pathways from Reactome and KEGG databases

R spider is a web-based tool for the analysis of a gene list using the systematic knowledge of core pathways and reactions in human biology accumulated in the Reactome and KEGG databases. R spider implements a network-based statistical framework, which provides a global understanding of gene relations in the supplied gene list, and fully exploits the Reactome and KEGG knowledge bases. R spider provides a user-friendly dialog-driven web interface for several model organisms and supports most available gene identifiers. R spider is freely available at http://mips.helmholtz-muenchen.de/proj/rspider