An Introduction to Visual Communication Tools

Visual Communication is the communication through a visual aid and is described as the conveyance of ideas and information in forms that can be read or looked upon. Visual communication relies on vision, and is primarily presented or expressed with two dimensional images, it includes: signs, typography, drawing, graphic design, illustration, Industrial Design, Advertising, Animation colour and electronic resources

Behçet’s Disease: An Enigmatic Malady with Plethoric Expressions

Behçet’s disease (BD) is a chronic, inflammatory, repetitive, debilitating systemic vasculitis with conglomerate system involvement of uncharted aetiology portrayed by the triad of oral ulcers, genital ulcers and cutaneous lesions. Behçet’s disease has a universal distribution with a predominance among populace with higher prevalence of human leukocyte antigen (HLA) B5 and its split, HLA-B51, in the Mediterranean basin, the Middle East and Far East. This ailment is presently acknowledged to be a multisystem disorder with mucocutaneous, ocular, intestinal, articular, vascular, urogenital, musculoskeletal, cardiopulmonary and neurologic systems and hence bears significant organ sinistering morbidity and mortality. The diagnosis of Behçet’s disease relies on scrupulous history, identification of its emblematic clinical countenance as per the diagnostic criteria construed by the International Study Group (ISG) and examination of all pertinent systems and excluding other systemic rheumatic diseases. However, there is a lag in diagnosis because of its plethoric presentations and a dearth of specific biomarkers. The multiple organ and tissue involvement of Behçet’s disease necessitates an interdisciplinary approach from various health specialities since a general and an organ-specific approach is mandatory. Prime concern is to control the active periods of the disease which is achieved by different anti-inflammatory drugs, steroids or immunomodulators

Characteristics of Bituminous Concrete Mixtures Utilizing Copper Slag

Study work on the effectiveness and use of Industrial by-products (IBP) in flexible pavements is restricted. Several factors however need to be analyzed specifically before a greater proportion of industrial by-products can be used in bituminous concrete mixtures with a high level of confidence. Effects of copper slag on volumetric and strength parameters such as Marshall Parameters, static tensile properties, and moisture resistivity of bituminous concrete mixtures using copper slag as mineral fillers need to be examined and thoroughly analyzed. Quantitative analyses of the elements and the morphology of the copper slag have been studied by Energy Dispersive X-ray Analyzer (EDX) and Scanning Electron Microscope (SEM). The use of copper slag as a mineral filler in bituminous concrete grade-2 mixtures showed an increase in stability, indirect tensile strength, and moisture resistance compared to traditional mixtures. Keywords— Industrial by-products (IBP), Indirect Tensile Strength, Moisture resistivity, SEM, ED

A new procedure for misbehavior detection in vehicular ad-hoc networks using machine learning

Misbehavior detection in vehicular ad hoc networks (VANETs) is performed to improve the traffic safety and driving accuracy. All the nodes in the VANETs communicate to each other through message logs. Malicious nodes in the VANETs can cause inevitable situation by sending message logs with tampered values. In this work, various machine learning algorithms are used to detect the primarily five types of attacks namely, constant attack, constant offset attack, random attack, random offset attack, and eventual attack. Firstly, each attack is detected by different machine learning algorithms using binary classification. Then, the new procedure is created to do the multi classification of the attacks on best chosen algorithm from different machine learning techniques. The highest accuracy in case of binary classification is obtained with Naïve Bayes (100%), decision tree (100%), and random forest (100%) in type1 attack, decision tree (100%) in type2 attack, and random forest (98.03%, 95.56%, and 95.55%) in Type4, Type8 and Type16 attack respectively. In case of new procedure for multi-classification, the highest accuracy is obtained with random forest (97.62%) technique. For this work, VeReMi dataset (a public repository for the malicious node detection in VANETs) is used

SnakeCut : an Integrated Approach Based on Active Contour and GrabCut for Automatic Foreground Object Segmentation

Interactive techniques for extracting the foreground object from an image have been the interest of research in computer vision for a long time. This paper addresses the problem of an efficient, semi-interactive extraction of a foreground object from an image. Snake (also known as Active contour) and GrabCut are two popular techniques, extensively used for this task. Active contour is a deformable contour, which segments the object using boundary discontinuities by minimizing the energy function associated with the contour. GrabCut provides a convenient way to encode color features as segmentation cues to obtain foreground segmentation from local pixel similarities using modified iterated graph-cuts. This paper first presents a comparative study of these two segmentation techniques, and illustrates conditions under which either or both of them fail. We then propose a novel formulation for integrating these two complimentary techniques to obtain an automatic foreground object segmentation. We call our proposed integrated approach as "SnakeCut", which is based on a probabilistic framework. To validate our approach, we show results both on simulated and natural images

URL ATTACKS: Classification of URLs via Analysis and Learning

Social Networks such as Twitter, Facebook play a remarkable growth in recent years. The ratio of tweets or messages in the form of URLs increases day by day. As the number of URL increases, the probability of fabrication also gets increased using their HTML content as well as by the usage of tiny URLs. It is important to classify the URLs by means of some modern techniques. Conditional redirection method is used here by which the URLs get classified and also the target page that the user needs is achieved. Learning methods also introduced to differentiate the URLs and there by the fabrication is not possible. Also the classifiers will efficiently detect the suspicious URLs using link analysis algorithm

Continent wise Analysis of Library Trends Research: A Bibliometric Study

This paper attempts to analyse the growth and development of Library trends, as reflected in publication output covered by Web of Science online database during 1989-2019. Among these 99 countries, China has created 515 (14.1%) Articles and it occupies the first place of Asian continent. Japan, India, South Korea and Taiwan have more than 50 articles produced in this field. UK has produced 427 (11.07 %) Articles and it occupies the first place of European Continent. Germany, Italy, Spain, France and Netherlands have more than 100 Articles produced in this field. North American Countries contributed their output 1521 in total where the USA Created 1265 (34.6%) stands in the highest position among them all, and the reason may be the impact of the advancement of the new and recent technologies and trends applied highly in the USA and followed by some other countries

Creating Bridges for Cleft Patients

Cleft lip and cleft palate are widespread deformities in developing countries. Although many voluntary medical expeditions focused on cleft treatment are dispatched to these countries annually, no public database providing specific details of these trips exists. Forty-eight craniofacial surgeons in twelve north-eastern states were contacted to collect information regarding their trips. Twenty-three surgeons responded, nine of whom participated in such expeditions. This information is part of a website designed to facilitate connections between afflicted patients and specialists in this field

ASSESSMENT OF PRESCRIBING PATTERN AMONG ORTHOPEDIC IN-PATIENTS USING WHO PRESCRIBING INDICATORS

Objective: Evaluating the prescribing indicators regularly help to monitor the prescriptions to reduce indiscriminate use of drugs. The present study was conducted to explore the prescribing pattern in orthopedic in-patients using the WHO prescribing indicators in a tertiary care teaching hospital, Mangalore.Methods: Data was collected from case records of orthopedic in-patients regarding patient demographics, diagnosis, and details of drugs in a structured pro forma and analyzed for the WHO prescribing indicators using descriptive statistics. Values are expressed as mean ± standard deviation, percentages as applicable.Results: A total of 379 patient prescriptions were included in the study which consisted of 2195 drugs. Of the 379 patients, 221 (58.3%) were male and 158 (41.7%) were female. The mean age group of the patients was 44 years. Acute trauma such as fractures, tendon damage, and disc prolapse (57.8%) were the most common indications for admission. Analgesics were the most commonly prescribed group of drugs comprising 27.28% of the prescriptions followed by multivitamins (20.68%) and proton-pump inhibitors (17.12%). The most commonly prescribed analgesic was nonsteroidal anti-inflammatory drugs (86.81%). Most of the drugs (65.80%) were administered through the oral route and 40.31% of drugs were fixed-dose combinations. The mean number of drugs per prescription was 5.79± 2.59. Antibiotics were prescribed in 60.4% of the prescriptions. 76.3% of prescriptions were with injectables. Use of drugs by generic name was 7.7% and only 44% of drugs were from the national list of essential medicines 2015.Conclusion: The study provides an insight into the prescribing pattern in orthopedic in-patients. It highlights the importance of emphasizing rational drug prescribing and toward improving awareness of the physicians and medical students to the WHO recommended standards on prescribing indicators

Is the Scyphozoan jellyfish Lychnorhiza malayensis symbiotically associated with the crucifix crab Charybdis feriatus?

Scyphozoan jellyfish (Medusae), the gelatinous invertebrate group, plays a vital role in the global oceanic and coastal ecosystems. By virtue of their floating nature, and horizontal and vertical spread in the water column, they are known to have varied associations with other invertebrates and teleosts, which make them an integral part of the marine ecosystem