PHISHING: AN EVOLVING THREAT

Phishing is one of the most common attacks used to extract sensitive information for malicious use. It is one of the easiest ways to extract confidential data on a large-scale. A fraudulent website/e-mail which looks very similar to the original is setup to trap the victim to give away confidential information. A large population of internet users still lacks knowledge to avoid phishing. When the phishing attacks are complimented with social engineering skills, the success rate is increased. Along with the progress of technology, phishing techniques have evolved encroaching upon newer communication mediums like voice and text messages giving rise to newer specialized forms of Phishing called - Vishing and SMSishing. In this paper, we also cover how to avoid being a victim of these attacks. One of the best promising methods to avoid Phishing is Zero Knowledge Authentication -ZeKo which immunes the user from phishing attacks

Machine Vision Using Cellphone Camera: A Comparison of deep networks for classifying three challenging denominations of Indian Coins

Indian currency coins come in a variety of denominations. Off all the varieties Rs.1, RS.2, and Rs.5 have similar diameters. Majority of the coin styles in market circulation for denominations of Rs.1 and Rs.2 coins are nearly the same except for numerals on its reverse side. If a coin is resting on its obverse side, the correct denomination is not distinguishable by humans. Therefore, it was hypothesized that a digital image of a coin resting on its either size could be classified into its correct denomination by training a deep neural network model. The digital images were generated by using cheap cell phone cameras. To find the most suitable deep neural network architecture, four were selected based on the preliminary analysis carried out for comparison. The results confirm that two of the four deep neural network models can classify the correct denomination from either side of a coin with an accuracy of 97%.Comment: 6 Pages, 4 Figures, 6 Tables, Conference pape

The Effects of Obesity and Diabetes on the Pediatric Population

The World Health Organization has declared diabetes (DM) and Obesity to be epidemics due to their rising prevalence. Obesity plays a role in the aetiopathogenesis of type 2 diabetes, the most common type of diabetes in the world, as well as the development of its complications. Obesity and overweight play a growing role in type 1 diabetes. Weight gain is often thought of as a side effect of insulin therapy, but it also has a significant pathophysiological impact at different stages of the disease. (1) In the United States and other nations across the world, childhood obesity has become a major public health issue. In the United States, one out of every three children is overweight or obese. Childhood obesity is linked to the emergence of comorbidities that were previously thought to be adult disorders, such as type 2 diabetes, hypertension, nonalcoholic fatty liver disease, obstructive sleep apnea, and dyslipidemia. Obesity in children is most commonly caused by an excessive caloric intake that is surpassing the caloric expenditure. Over time this leads to a net positive calorie intake and leads to obesity. The majority of obese youngsters do not have a single genetic or endocrine explanation for their weight increase. (2) Purpose: The purpose of this study is to look at the pediatric population with diabetes and obesity and to examine the long-term effects it may have on children. This literature review research process used PubMed as the primary database. A broad spectrum of search terms were used: Obesity, lifestyle, crime, healthcare, pediatrics, poverty, exercise, diet, lifestyle, depression, diabetes. Although research searches were divided, many articles overlapped. Results: Obesity in the pediatric population is not only a problem in the United States but the entire world. As more individual families are adopting more unhealthy lifestyles, the growing rate of obesity is increasing. Along with so, the rate of diabetes in children is at an all-time high. As a result, a lot of the children can grow up to have long-term comorbidities such are heart disease. Not all pediatric patients grow up to have comorbidities, but some may grow up with psychiatric disorders such as attention deficit disorder, depression, bipolar disorder, and schizophrenia.(3) There is a build of cholesterol in children at a young age as well, and some of the eating habits are still carried over into adulthood which causes a negative impact on the individual. Cultural differences can account for obesity and diabetes due to dietary changes from one family to another. There is a higher incidence of psych disorders in this patient population. A twofold increase in obesity in the last two decades is only rising. Furthermore, severely obese children are at a greater risk for other comorbidities than mild obesity. Socioeconomic status plays a role in obesity

Mesenchymal Stem Cell Therapy for Amyotrophic Lateral Sclerosis

Amyotrophic lateral sclerosis (ALS), also known as Lou Gehrig disease, is a fatal neurodegenerative disease affecting motor neurons in the brain and spinal cord. Progressive muscle weakness, atrophy, and spasticity characterize the condition, which eventually leads to paralysis and respiratory failure. There is currently no cure for ALS, and the standard of care is supportive, with riluzole being the only approved medication that has been shown to slightly slow disease progression (1). However, the use of mesenchymal stem cells (MSCs) in the treatment of ALS is a new area of research in regenerative medicine. MSCs are multipotent stem cells that have the ability to differentiate into a variety of cell types, including neurons, and have immunomodulatory and anti-inflammatory properties, making them an appealing therapy for neurodegenerative diseases such as ALS (2). This review examines the safety and efficacy of MSC therapy for ALS in four randomized controlled trials. The trials involved administering MSCs via various routes, including intrathecal and intravenous, and assessing outcomes such as survival, disease progression, and quality of life. The findings of these trials shed light on the potential of MSC therapy as a novel approach to treating ALS

Effective Continuous Student Assessment using Statistical Methods

The need of the hour is to impart knowledge to students especially those who are below average and help them gain foot in competing with confidence and vigor. Engineering courses are no cake walk however; a sense of enthusiasm can be developed in such students to partake later in the conglomeration of experts on completion of their course. For this to happen, proper assessment and evaluation of subjective content during the course must be done. A proper and effective assessment process should facilitate in timely identification of the student�s weak topics in a subject during the course. In this paper, we discuss about direct assessment technique that starts with the preparation of the question paper, pertaining to the subject, topic-wise. The assessment of the student�s answers shall be done and marks of the subject shall be entered topic-wise. When marks obtained for a particular topic of a subject is below a certain threshold, it acts as an alarm to notify the student of their weak topic that requires immediate attention

Text Extraction from Natural Images of Different Languages Using ISEF Edge Detection

In this paper, we proposed the algorithm text extraction of different images of languages. In computer vision research area, text is very important in images. Here, we use edge based extraction of text using ISEF (infinite symmetrical edge filter). ISEF is optimal edge detector which gives accurate results for text in images. Text extraction involves detection, localization, tracking and enhancement. Large numbers of technique have been proposed for the text extraction. Our aim is to present robust technique for text extraction of different languages images

Difference in clinical profile between juvenile onset and adult-onset systemic lupus erythematosus: a meta-analysis

The aim was to systematically review the studies that compared clinical and serological variation between adult-onset systematic lupus erythematosus (aSLE) andjuvenile-onset systematic lupus erythematosus (jSLE). A comprehensive literature search was done, in various available electronic databases for relevant publication that compared juvenile onset SLE and adult onset SLE. The data of adverse clinical features, serological profile and mortality were extracted. Juvenile onset was defined as 18 years. The methodological quality of study was assessed by Newcastle Ottawa scale (NOS) criteria and R version 3.3.1 was used for analysis and ORs and 95% CIs, were used as statistical parameter. A total of 14,920 patients; (12,230: aSLE, and 2,690: jSLE) were included. Renal involvement especially nephritis was significantly more in j-SLE OR: 2.18, 95% CI: [1.81;2.62]; I2=10.8% whereas musculoskeletal was significant in aSLE O.R: 0.64; C.I: [0.44; 0.93]; I2=83.4%. Seizure and malar rash were significantly higher in J-SLE OR:1.69, CI: [1.31; 2.18]; I2=31.1%,1.43; C.I [1.04; 1.97]; I2=82%, respectively. Raynaud’s phenomenon and pleuritis were significantly higher in adult onset SLE. Anemia and thrombocytopenia were significantly higher in juvenile onset SLE. Anti-ds DNA, anti-histone, and anti-ribosomal-P were more frequent in juvenile-onset SLE while, anti-Ro was more common in adult-onset disease. The cause of mortality was not significantly different in both groups. Renal biopsy of class III and IV combined and class V were significantly more in adult-onset SLE. SLEDAI was higher in j-SLE. Meta-analysis indicated that, regardless of many similar clinical and serological manifestations, there is still some variation between adult-onset SLE and juvenile-onset SLE. Although, SLE disease is continuum from juvenile to adult but disease aggressive in juvenile onset SLE