Georgia State University

About: Georgia State University is a education organization based out in Atlanta, Georgia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 13988 authors who have published 35895 publications receiving 1164332 citations. The organization is also known as: GSU & Georgia State.

Probiotics, prebiotics and competitive exclusion for prophylaxis against bacterial disease.

Abstract: The microbial population of the intestinal tract is a complex natural resource that can be utilized in an effort to reduce the impact of pathogenic bacteria that affect animal production and efficiency, as well as the safety of food products. Strategies have been devised to reduce the populations of food-borne pathogenic bacteria in animals at the on-farm stage. Many of these techniques rely on harnessing the natural competitive nature of bacteria to eliminate pathogens that negatively impact animal production or food safety. Thus feed products that are classified as probiotics, prebiotics and competitive exclusion cultures have been utilized as pathogen reduction strategies in food animals with varying degrees of success. The efficacy of these products is often due to specific microbial ecological factors that alter the competitive pressures experienced by the microbial population of the gut. A few products have been shown to be effective under field conditions and many have shown indications of effectiveness under experimental conditions and as a result probiotic products are widely used in all animal species and nearly all production systems. This review explores the ecology behind the efficacy of these products against pathogens found in food animals, including those that enter the food chain and impact human consumers.

Factors influencing requirements traceability practice

Abstract: Influencing Requirements Traceability Practice R equirements traceability is viewed as a measure of system quality and is mandated by many standards governing the development of systems (for example, MIL–STD-498). Though the importance and role of traceability in supporting systems development have been long recognized, there are wide variations in the quality and usefulness of the practice [7]. Environmental, organizational, and technical factors influence the implementation of requirements traceability. In this article, we identify and discuss how such influences impact the adoption and use of traceability. The results reported in this article are based on data from a series of empirical studies conducted over four years with the goals of capturing the current practices and trends in requirements traceability, developing reference models to guide improved practice, and understanding the factors that facilitate or impede traceability practice. The primary research question explored in this article is: What are the critical factors that influence the practice of requirements traceability? The study is guided by the theoretical framework for understanding the issues around the adoption of CASE tools developed by Orlikowski [5]. This framework, developed using the grounded theory approach, considers a wide range of factors, including the social context, the motivations and actions of the participants, and the implementation process in systems development. Our adaptation of the basic framework, presented in Figure 1, can be explained in brief as follows: Institutional contexts and the strategic conduct of organizational actors interact over time influencing each other. Balasubramaniam Ramesh Findings from a comprehensive survey identify the major issues that motivate users to employ traceability practices— or not.

Deep Learning Based Inference of Private Information Using Embedded Sensors in Smart Devices

Abstract: Smart mobile devices and mobile apps have been rolling out at swift speeds over the last decade, turning these devices into convenient and general-purpose computing platforms. Sensory data from smart devices are important resources to nourish mobile services, and they are regarded as innocuous information that can be obtained without user permissions. In this article, we show that this seemingly innocuous information could cause serious privacy issues. First, we demonstrate that users' tap positions on the screens of smart devices can be identified based on sensory data by employing some deep learning techniques. Second, it is shown that tap stream profiles for each type of apps can be collected, so that a user's app usage habit can be accurately inferred. In our experiments, the sensory data and mobile app usage information of 102 volunteers are collected. The experiment results demonstrate that the prediction accuracy of tap position inference can be at least 90 percent by utilizing convolutional neural networks. Furthermore, based on the inferred tap position information, users' app usage habits and passwords may be inferred with high accuracy.

Mobile commerce: a new frontier

Abstract: Electronic commerce continues to see phenomenal growth, but so far most e-commerce development involves wired infrastructures. The authors believe emerging wireless and mobile networks will provide new avenues for growth, creating new opportunities in mobile commerce. According to the GartnerGroup, a market research firm, by 2004 at least 40 percent of consumer-to-business e-commerce will come from smart phones using the wireless application protocol (WAP). Based on a study by the Wireless Data and Computing Service, a division of Strategy Analytics, the annual mobile commerce market may rise to $200 billion by 2004. The authors provide a mobile commerce framework to illustrate potential applications such as mobile inventory management, product location and search, proactive service management, and mobile entertainment. They also describe the wireless user and networking infrastructure, emerging W3C standards, and the open and global WAP specification.

Odor plumes and how blue crabs use them in finding prey.

Abstract: Orientation of animals using chemical cues often takes place in flows, where the stimulus properties of odorants are affected by the characteristics of fluid motion. Kinematic analysis of movement patterns by animals responding to odor plumes has been used to provide insight into the behavioral and physiological aspects of olfactory-mediated orientation, particularly in terrestrial insects. We have used this approach in analyzing predatory searching by blue crabs in response to plumes of attractant metabolites released from the siphons of live clams in controlled hydrodynamic environments. Crabs proceed directly upstream towards clams in smooth-turbulent flows and show high locomotory velocities and few periods of motionlessness. Crabs assume more indirect trajectories and display slower locomotion and more stopping in rough-turbulent flows. This degradation of foraging performance is most pronounced as flow shifts from a smooth- to a rough-turbulent regime, where the change in hydraulic properties is associated with contraction of the viscous sublayer region of the boundary layer. Because flow in this region is quasilaminar, the viscous sublayer may be a particularly effective vehicle for chemical stimulus transmission, such that orientation is severely compromised when it is reduced or removed. Our results also suggest that rheotactic and chemical information are both necessary for successful orientation. Perception of chemical cues acts to bias locomotion upcurrent, and feedback from odorant stimulus distributions appears directly to regulate subsequent stopping and turning en route to prey. Although the mechanisms of orientation to odorant plumes displayed by insects and blue crabs are largely similar, blue crabs appear to rely more heavily on spatial and/or temporal aspects of chemical stimulus distributions than has been suggested for insect systems.