Data Mining - Concepts and Techniques.

International Journal of Computer and Applications

Theory of fuzzy integrals and its applications

Local mussels, Perna viridis, were transplanted from a relatively clean site to various polluted sites in Hong Kong. After a 30-day field exposure, different antioxidant parameters including glutathione S transferase (GST), superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), glutathione reductase (GR), NADPH DT-diaphorase (DT-d), glutathione (GSH) and lipid peroxidation were quantified, and tissue concentrations of benzo[a]pyrene (B[a]P) as well as a total of five polycyclic aromatic hydrocarbons (PAHs) with potential carcinogenicity were determined for individual mussels. Results indicated that: (1) tissue concentrations of B[a]P and total PAHs from the same site were highly variable; (2) gill SOD, DT-d and lipid peroxidation showed no response to tissue pollutants: (3) the majority of the antioxidant parameters were induced by increasing tissue pollutant concentrations; and (4) amongst the various parameters, oxyradical scavenger GSH [ best correlated with tissue concentrations of pollutants.

Relationships between tissue concentrations of polycyclic aromatic hydrocarbons and antioxidative responses of marine mussels, Perna viridis

Biometric Recognition - Security and Privacy Concerns.

Motion Detection is a process of detecting a change in the position of the object relative to its environment or vice-versa. As time changes computer applications are becoming important part in every field. Due to which it has been used in several applications. The verification of the object from a video and then tracking of that object is an significant task in computer vision. Object is a thing of interest whose movement is to record. It can be anything of any dimensions. Video is a recording of moving visual images and to record the movements of the object in the video is quite a complex task. Object detection is termed as to detect or locate objects from consecutive frames of a video file. For object detection, object representation is required. There are many techniques that came into existence to capture the motions of the object but every technique is having their own merits and demerits. One of the merit is that they capture every motion of the object in the video while demerit contains the concept of Computational Cost, Accuracy, Time, Noise, Shadow Effect, only Major Movement Detection, Detection of Stationary Objects ,etc. Also most of the cameras produce a noisy image, which result into a motion in that such places, where there is no motion at all. This paper presents a survey of different motion detection techniques. This survey paper includes background subtraction method, temporal differencing, statistical approach, and optical flow method and then comparison is made on them, with this a feature extraction algorithm can be used to examine the difference in the frames and thus, object can be detected in it. The purpose of a feature extraction is to obtain descriptive quantities (description) and reduce the dimensionality of data without losing relevant information. The dimensionality of a data defines to the number of values (i.e. dimensions) of a single measurement. A visual feature refers here are: colour, texture and shape, etc.

/pdf/a-survey-on-motion-detection-in-a-video-323h69gynd.pdf

A Survey on Motion Detection in a Video

A novel method is developed for the oxidation of thiols to the corresponding disulfides using 20 mol % haloacid (HBr or HI) in combination with dimethyl sulfoxide. A tentative mechanism is proposed for the oxidation. In addition to the advantages of cost-effectiveness, simple processes, and broad functional group tolerance, the exclusive formation of disulfides is the principle reward of this methodology while compared to known methods that further oxidize disulfides to S-oxides and other byproducts.

Haloacid/Dimethyl Sulfoxide‐Catalyzed Synthesis of Symmetrical Disulfides by Oxidation of Thiols.

Architectural and functional details of CF IA proteins involved in yeast 3'-end pre-mRNA processing and its significance for eukaryotes: A concise review.

In wireless sensor networks messages are sent from source to sink, but it sometime becomes a risky communication way because of presence of eavesdropper. During transfer of packet or message from source to sink an eavesdropper may attack on the network and creates problem for the sender or receiver, as the eavesdropper may trace the path and detect the location of source or sink very easily. Because of this security is always remained a concern topic in wireless sensor networks. Different techniques introduced time to time for the protection of source and sink in wireless sensor networks. I n this paper we have also introduced a scheme for the location privacy. This technique especially effective when eavesdropper will try to locate the location of source or sink by using DREAM protocol. In this scheme deviate location information and false identity of sensor nodes is provided to the eavesdropper which can confuse the attacker and protects our source as well as sink. The nodes in these networks having identical capabilities and energy in a network is called homogeneous network (8). These types of networks can be again classified into flat and hierarchy topology. In the flat topology that the sensors close to the static sink consumes more energy than the sensors at the margin of the network. The drawbacks of flat topology can be overcome by using hierarchical topology i.e., clusters. In this, the group of nodes that forms the lower layer and the cluster heads at the higher layer (4). Cluster head, which collects data from the lower layers and then forwards it to the sink. Cluster head can acts as an aggregation point. Since the cluster head is collecting data from lower nodes, it consumes more energy than other nodes. So, the sensor nodes can be rotated dynamically to avoid the energy consumption. The Heterogeneous networks having small number of resource rich nodes and large number of resource limited basic nodes. The resource rich nodes are having powerful transceivers and batteries. The resource rich nodes can acts as cluster heads. The resource limited basic nodes having limited communication capabilities. Mobile Data Gathering is a technique that consists of one or more Mobile Collectors (MC's) (4). Mobile collector is a device equipped with powerful transceiver and high battery power. It gathers the data in short-range communications. MC roams over the sensing field to collects the data while moving or pause at some points on its moving path from the sensors. To attain the maximum energy saving, a mobile collector must travel the transmission range of each sensor node in the field. It helps the mobile collector to collect the data packets in a single hop. The path of the mobile collector in the sensing field may be random or planned. The mobility of the collector reduces the energy consumption in the

/pdf/protection-of-source-and-sink-in-wireless-sensor-networks-1sofhidte5.pdf

Protection of Source and Sink in Wireless Sensor Networks

P. aeruginosa encounters environments with acidic pH when establishing infections in hosts. The bacterium develops an altered phenotype to tolerate a moderate decrease in the environmental pH. ABSTRACT Pseudomonas aeruginosa is a versatile pathogen that resists environmental stress, such as suboptimal pH. As a result of exposure to environmental stress, P. aeruginosa shows an altered virulence-related phenotype. This study investigated the modifications that P. aeruginosa undertakes at a mildly low pH (pH 5.0) compared with the bacteria grown in a neutral medium (pH 7.2). Results indicated that in a mildly acidic environment, expression of two-component system genes (phoP/phoQ and pmrA/pmrB), lipid A remodeling genes such as arnT and pagP and virulence genes, i.e., pqsE and rhlA, were induced. Moreover, lipid A of the bacteria grown at a mildly low pH is modified by adding 4-amino-arabinose (l-Ara4N). Additionally, the production of virulence factors such as rhamnolipid, alginate, and membrane vesicles is significantly higher in a mildly low-pH environment than in a neutral medium. Interestingly, at a mildly low pH, P. aeruginosa produces a thicker biofilm with higher biofilm biomass. Furthermore, studies on inner membrane viscosity and permeability showed that a mildly low pH causes a decrease in the inner membrane permeability and increases its viscosity. Besides, despite the importance of PhoP, PhoQ, PmrA, and PmrB in Gram-negative bacteria for responding to low pH stress, we observed that the absence of each of these two-component systems does not meaningfully impact the remodeling of the P. aeruginosa envelope. Given that P. aeruginosa is likely to encounter mildly acidic environments during infection in its host, the alterations that the bacterium undertakes under such conditions must be considered in designing antibacterial strategies against P. aeruginosa. IMPORTANCE P. aeruginosa encounters environments with acidic pH when establishing infections in hosts. The bacterium develops an altered phenotype to tolerate a moderate decrease in the environmental pH. At the level of the bacterial envelope, modified lipid A composition and a reduction of the bacterial inner membrane permeability and fluidity are among the changes P. aeruginosa undergoes at a mildly low pH. Also, the bacterium is more likely to form biofilm in a mildly acidic environment. Overall, these alterations in the P. aeruginosa phenotype put obstacles in the way of antibacterial activities. Thus, considering physiological changes in the bacterium at low pH helps design and implement antimicrobial approaches against this hostile microorganism.

Mandeep Kaur

Papers

A Survey on Motion Detection in a Video

Haloacid/Dimethyl Sulfoxide‐Catalyzed Synthesis of Symmetrical Disulfides by Oxidation of Thiols.

Architectural and functional details of CF IA proteins involved in yeast 3'-end pre-mRNA processing and its significance for eukaryotes: A concise review.

Protection of Source and Sink in Wireless Sensor Networks

A Mildly Acidic Environment Alters Pseudomonas aeruginosa Virulence and Causes Remodeling of the Bacterial Surface