Fire safety industry is a very flourishing once. In fire safety measures the employees have lot of risk on their safety and well-being. There has been lot of health afflictions due to air quality. Well-being is something sought by just about everyone, because it includes so many positive things feeling happy, healthy, socially connected, and purposeful. The study conducted in Kancheepuram district especially in Tambaram. Fire safety’s main focus is employee well-being. In order to gather information on the effectiveness of fire safety works industry researcher conducted survey method among the fire safety works employees. The researcher used Interview Schedule as the tool for data collection. The Researcher has been collected 100 samples from the fire safety works employees. The Researcher has been used Simple Percentage Analysis. We can use of Pie Chart and Bar chart.

The Distributed Denials of Service (DDOS) attacks have strong influence on the cyber world. The DDoS attacks are a serious threat security to network world. The normal functioning of the organization have been terminations by cyber-attack like; Internet protocol (IP) spoofing, bandwidth overflow, consuming memory resources etc. and causes a huge loss of industry. The Advance Support Vector Machine (ASVM) is focused to analyzing the pattern of the DDOS attacks and protects users from attacks. This paper presents a of research work on Detection from DDOS attack recognize by ASVM techniques with the use of identifying DDOS attack patterns and analyze patterns by using machine learning algorithms. The packet instrument Wireshark and ASVM is employed to implement the projected system. The results show that the proposed detection of DDoS attack using ASVM prototype has high detection accuracy (99%) decrease of the false positives and false negatives rates compared to conventional detection models.

Hepatitis B virus (HBV) infection is one of the most worldwide health problems in the world, including Yemen. So, this study has been designed to explore the correlations between HBV DNA levels with biochemical and serological markers in patients during different stages of chronic hepatitis B to assess the infectivity of virus, during the period of study was from September 2016 to June 2017. A total of 108 serum samples of chronic hepatitis B patients who not treated with any antiviral drugs were analyzed by biochemical, serological and molecular assays. The age of CHB patients ranged between 8 and 72 years included males and females, with detectable hepatitis B surface antigen (HBsAg) and anti-core IgG antibody (anti-HBcAb IgG) in serum at the time of study. The hepatitis B virus markers of these patients were determined and expressed as geometric mean ± SD, (41.78 ± 46.77), (35 ± 43.5) IU/ml for ALT and AST respectively, while the mean ± SD for hepatitis B e antigen (HBeAg) was (50.5 ±0.68) s/co and the mean ± SD for HBV DNA viral load was (13037710.44±39003202.39) IU/ml. 34(31.5%) abnormal for ALT and 22(20.4%) abnormal for AST. Also, the distribution of HBV DNA viral load were 36 (33.3%) had HBV DNA viral load more than or equal to 2000 IU/ml while 72(66.7%) had HBV DNA viral load less than 2000 IU/ ml. High HBV DNA viral load (≥ 2000 IU/ml) found with 18(52.9%) abnormal ALT and 14(63.6%) abnormal AST levels while low HBV DNA viral load (< 2000 IU/ml) found in 16 (47.1 %) abnormal ALT and 8(36.4%) abnormal AST levels. The increase of ALT and AST levels in patients with high HBV DNA viral load was significantly higher than that in patients with low HBV DNA viral load, so there were significant correlations between levels of HBV DNA viral load and biochemical marker levels [ALT and AST (p < 0.05)]. Out of (108) CHB patients 17(15.7%). HBeAg positive and 91(84.3%) HBeAg negative. High HBV DNA viral load founded in all17 (100%) HBeAg positive patients. Out a total of (91) HBeAg negative patients, 19(20.9%) patients had high HBV DNA viral load, while 72(79.1%) had low HBV DNA viral load. The levels of HBV DNA viral load in HBeAg positive patients were significantly higher than those in HBeAg negative patients (P < 0.05), so there were significant correlation between levels of HBV DNA viral load and HBeAg marker (P < 0.05).

Objective: This study amid to know the negative effects of mobile phone on student of Taiz University. Methodology: The current research community is a student of Taiz University in the second semester of the academic year 2018-2019, that include 136 students, 21 males and 115 females, according to admissions and registration department of University. Results: Present study found that the impact of mobile phone use on university students at the six fields was moderate. On economic aspect has high effects which indicate that student use mobile phone without rationalization and in behavioral aspects also has high effect on behavioral of students with two and fifty and standard deviation economic aspect while the impact of the mobile phone on social, health and psychological aspect are low with average two and twenty nine, two twenty six and two twenty nine respectively. Regarding to education aspect found that the average was one forty three which indicate that the student use mobile phone in the education is very low.

Ongoing advances in nanotechnology have empowered us to create unadulterated silver, as nanoparticles, which are more proficient than silver particles. Silver has for some time been perceived as having inhibitory impact on microorganisms present in therapeutic and modern procedure. Silver nanoparticles are appealing in light of the fact that they are non-harmful to the human body at low fixations and have expansive range antibacterial activities. New courses to the readiness of these materials expand the selection of properties that can be gotten. In this present examination green union silver nanoparticles from fluid silver nitrate (1mM) through a straight forward and eco-accommodating course utilizing leaf stock of Melia azedarach as reductant. The fluid silver particles when presented to leaf soup were decreased and brought about the green blend of silver nanoparticle. The bioreduced silver nanoparticle were portrayed by UV-Vis spectrophotometer, filtering electron magnifying instrument (SEM), X-beam Diffraction (XRD) and Fourier change infra-red (FTIR) spectroscopy. The watched tops in UV a wide range at 426nm wave length. Size of silver nanoparticles extend 68nm to 82nm saw by SEM. The FTIR estimation was completed to recognize the conceivable biomolecules answerable for effective adjustment of silver nanoparticles and XRD show the patern of the silver.