A Review Paper on Accident Detection System Using Intelligent Algorithm for VANET

Our lives became easier with the Quick accretion of technology and infrastructure. The advent of technology has also rise the traffic hazards and the road accident take place repeatedly which causes massive loss of life and property because of the poor emergency facilities. Recently, intelligent transportation systems (ITS) have emerged as an efficient way of improving interpretation of transportation systems and enhancing travel safety. Accident detection systems are one of the most effective (ITS) tools. The accident detected system which based on Global Positioning System (GPS) and Global System for Mobile communication (GSM) can be accomplish though one or several sensors, the system can gathers the information and coordinates of accident spot then send this data to the rescues services center over a network link in shortest time, It represented as an instance helping system. In this review paper, we proposed an intelligent system that composed of a GPS receiver, Vibration sensor, GSM Modem and integrated with Vehicular AD-Hoc Network (VANET). The employ of (VANET) by enhanced Ad hoc On-Demand Distance Vector protocol (AODV) helps these services in finding the optimum route to the emergency message. The use of GSM, GPS, and VANET technologies allows the system to track vehicle and provides the most instant and accurate information about the vehicle accident spot. Keywords: GPS, GSM, VANET, AODV

Superadditivity, Monotonicity, and Exponential Convexity of the Petrović-Type Functionals

We consider functionals derived from Petrović-type inequalities and establish their superadditivity, subadditivity, and monotonicity properties on the corresponding real n-tuples. By virtue of established results we also define some related functionals and investigate their properties regarding exponential convexity. Finally, the general results are then applied to some particular settings

Effects of Dexamethasone and Brain-Derived Neurotropic Factor in NT2 Cells

Stress is a major risk factor that can evoke neuropathological changes within the cortico-limbic system in neuropsychiatric, neurodegenerative, and metabolic disorders. Many of these disorders implicate the regulation of glucocorticoids (GCs) and neurotrophins, such as the brain-derived neurotropic factor (BDNF). GCs are steroidal hormones that have anti-inflammatory and immunosuppressive effects. They are widely used to treat allergy, inflammation and autoimmune diseases. GCs’ roles and functions in the central nervous system (CNS) is varied and not well understood at this time. BDNF is commonly known to play important roles in the survival, growth-promoting and synaptic plasticity of the CNS. However, it has also been reported that continuous exposure to BDNF results in widespread neuronal death. While several studies have shown functional interactions between BDNF and GCs in neural events, the relationship between these interactions has not been clearly defined. The goal of this study was to determine the effects of dexamethasone (DEX) and BDNF in Ntera-2 (NT2) cells. Our results show a decline in cell viability and proliferation in a time and dose dependent manner when NT2 cells were treated with DEX alone. Treatment with BDNF did not affect NT2 cell viability. Interestingly, when NT2 cells were treated with a combination of DEX and BDNF, there appeared to be greater loss of cell viability and cell proliferation compared to the treatment with DEX alone. This synergistic effect possibly occurred via the co-activation of the BDNF receptor p75 and glucocorticoid receptor common pathways that may be responsible for apoptosis and cellular death. &nbsp

Combinatorial extensions of Popoviciu\u27s inequality via Abel-Gontscharoff polynomial with applications in information theory

We establish new refinements and improvements of Popoviciu’s inequality for n-convex functions using Abel-Gontscharoff interpolating polynomial along with the aid of new Green functions. We construct new inequalities for n-convex functions and compute new upper bounds for Ostrowski and Grüss type inequalities. As an application of our work in information theory, we give new estimations for Shannon, Relative and Zipf-Mandelbrot entropies using generalized Popoviciu’s inequality

Do Mobile Technology in the Classroom Really Improve Learning Outcomes?

This article aims to outline different pedagogical strategies with applications (apps) in the classroom. Every year the use of mobile devices like tablets and smartphones increases. At the same time, applications are being developed to meet this demand. It is therefore essential that educators investigate their use as an motivational technological medium that can possibly be used in the classroom. Apps can be used both as a source of information as well as a tool for creating material. Thus, this article will present the results of a study applying teaching strategies in different contexts. It therefore highlights the importance of mobile learning as a viable alternative in the classroom. In order to do so, there was a multiple case study in the undergraduate pedagogy program and a digital inclusion course for seniors, both offered in the first semester of 2017 at the Federal University of Rio Grande do Sul (UFRGS). Educational applications and examples of teaching strategies using apps were created in these classes. Educational applications offer the possibility to bring innovations to teaching practices, as well as new forms of communication, interaction and authorship, thus contributing to the process of teaching and learning

Weighted Popoviciu type inequalities via generalized Montgomery identities

We obtained useful identities via generalized Montgomery identities, by which the inequality of Popoviciu for convex functions is generalized for higher order convex functions. We investigate the bounds for the identities related to the generalization of the Popoviciu inequality using inequalities for the Čebyšev functional. Some results relating to the Grüss and Ostrowski type inequalities are constructed. Further, we also construct new families of exponentially convex functions and Cauchy-type means by looking at linear functionals associated with the obtained inequalities

NON-SYMMETRIC STOLARSKY MEANS

Abstract. In this paper we construct n -exponentially convex functions and exponentially convex functions using the functional defined as the difference of the right parts of the HermiteHadamard inequality, for different classes of functions. Applying these results on some starshaped functions, we derive non-symmetric means of Stolarsky type

Superadditivity, Monotonicity, and Exponential Convexity of the Petrović-Type Functionals

We consider functionals derived from Petrović-type inequalities and establish their superadditivity, subadditivity, and monotonicity properties on the corresponding real n-tuples. By virtue of established results we also define some related functionals and investigate their properties regarding exponential convexity. Finally, the general results are then applied to some particular settings