Starkville, MS, United States
Starkville, MS, United States

The Mississippi State University of Agriculture and Applied Science, commonly known as Mississippi State University , is a land-grant university located in Oktibbeha County, Mississippi, United States, partially in the town of Starkville and partially in an unincorporated area. Mississippi State, Mississippi, is the official designation for the area that encompasses the university.It is classified as a "comprehensive doctoral research university with very high research activity" by the Carnegie Foundation. The university has campuses in Starkville , Meridian, Biloxi, and Vicksburg, Mississippi. Wikipedia.

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Mississippi State University | Date: 2016-09-06

A live attenuated Edwardsiella ictaluri bacterium lacking a viable gene encoding a functional evpB protein and a method of using the same to protect fish against infection from virulent Edwardsiella ictaluri. The methods and compositions for protecting fish against infection from virulent Edwardsiella ictaluri comprising administering to a fish a therapeutically effective amount of an attenuated Edwardsiella ictaluri bacterium lacking a viable gene encoding a functional EvpB protein. The bacterium may include an insertion and/or deletion mutation in the evpB gene. The fish include catfish, preferably catfish fingerling or a catfish fry. The composition may be delivered via immersion delivery, an injection delivery, an oral delivery, or combinations thereof.

Alavanja M.C.R.,U.S. National Cancer Institute | Ross M.K.,Mississippi State University | Bonner M.R.,State University of New York at Buffalo
CA Cancer Journal for Clinicians | Year: 2013

A growing number of well-designed epidemiological and molecular studies provide substantial evidence that the pesticides used in agricultural, commercial, and home and garden applications are associated with excess cancer risk. This risk is associated both with those applying the pesticide and, under some conditions, those who are simply bystanders to the application. In this article, the epidemiological, molecular biology, and toxicological evidence emerging from recent literature assessing the link between specific pesticides and several cancers including prostate cancer, non-Hodgkin lymphoma, leukemia, multiple myeloma, and breast cancer are integrated. Although the review is not exhaustive in its scope or depth, the literature does strongly suggest that the public health problem is real. If we are to avoid the introduction of harmful chemicals into the environment in the future, the integrated efforts of molecular biology, pesticide toxicology, and epidemiology are needed to help identify the human carcinogens and thereby improve our understanding of human carcinogenicity and reduce cancer risk. © 2013 American Cancer Society, Inc.

Agency: National Science Foundation | Branch: | Program: STTR | Phase: Phase I | Award Amount: 225.00K | Year: 2017

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project will be commercially deployable equipment for screening, detecting, and removing aflatoxin contaminated corn from the global food supply. Exposure to aflatoxin, a dangerous fungal carcinogen, has been linked to liver cancer, childhood stunting, illness and death in humans and animals, and major economic losses for farmers and grain handlers in the U.S. and globally. Rapid batch screening equipment will expand the capacity of the grain industry to test more corn for aflatoxin contamination and minimize the high sampling error that currently plagues the aflatoxin testing process and risks greater contamination exposure downstream. In addition to batch screening equipment, opportunities also exist to develop handheld devices to identify contaminated corn in the field, and continuous flow optical sorters, deployed at grain handling and food processing facilities, to remove the contaminated corn and protect the market value of the healthy grain. The goal is to 1) Increase revenue for farmers in the U.S. and globally; 2) Protect the food supply and reduce the risks of greater contamination exposure for farmers, grain handlers, and consumers; and 3) Protect feed supply and improve productivity of livestock. This STTR Phase I project proposes to demonstrate the feasibility of a specialized high resolution imaging system for rapid batch screening of aflatoxin in corn. The research team will build the prototype unit and image processing software with the patented algorithm for detection of aflatoxin in corn, integrated with a high resolution, dual-camera system. With existing chemical tests for aflatoxin detection, it is difficult for grain handlers to test larger samples or every truck without causing major delays in operations. The key technical hurdle for rapid batch screening with this technology is reliable imaging analysis of sufficient size samples, screened fast enough for the imaging system to fit into commercial grain handling operations without disruption. By screening hundreds of corn samples with the rapid batch screening prototype unit, the team will validate device accuracy of >95% true positive and true negative for detection of corn contaminated with aflatoxin, consistently across contamination ranges and proportions, at a processing speed fast enough to be deployed by commercial grain handlers on every truckload.

Brown L.R.,Mississippi State University
Current Opinion in Microbiology | Year: 2010

Two-thirds of the oil ever found is still in the ground even after primary and secondary production. Microbial enhanced oil recovery (MEOR) is one of the tertiary methods purported to increase oil recovery. Since 1946 more than 400 patents on MEOR have been issued, but none has gained acceptance by the oil industry. Most of the literature on MEOR is from laboratory experiments or from field trials of insufficient duration or that lack convincing proof of the process. Several authors have made recommendations required to establish MEOR as a viable method to enhance oil recovery, and until these tests are performed, MEOR will remain an unproven concept rather than a highly desirable reality. © 2010 Elsevier Ltd. All rights reserved.

Karimi-Ghartemani M.,Mississippi State University
IEEE Transactions on Industrial Electronics | Year: 2014

In this paper, the enhanced phase-locked loop (EPLL) is modified to achieve a linear time invariant (LTI) and a pseudolinear (PL) EPLL called the LTI-EPLL and the PL-EPLL, respectively. The modification is based on using the estimated amplitude to make the EPLL operation independent from the input signal magnitude. The LTI-EPLL is input-output LTI, and its input-output relationship is represented by a transfer function, a representation that has not been possible for any other type of existing PLL structures. Having a transfer function representation is very useful for design and analysis purposes. The PL-EPLL introduces frequency adaptivity into the LTI-EPLL and is no longer LTI, but its performance is still independent from the input signal magnitude. The transfer function approach also facilitates the development and design of various EPLL extensions to estimate and reject the dc component and the harmonics as well as the extension with controlled attenuation of wideband noises. These topics are discussed in this paper. The presentation is focused on single-phase EPLL, but extension to three-phase PLLs is also briefly presented. © 1982-2012 IEEE.

Agency: NSF | Branch: Standard Grant | Program: | Phase: Manufacturing Machines & Equip | Award Amount: 299.97K | Year: 2016

Additive manufacturing, or 3D printing, offers the ability to fabricate customized, complex metallic parts traditionally unobtainable for a variety of applications. A paradigm shift in engineering design and product realization is thus occurring, and many industries, such as biomedical and aerospace, are poised to benefit. Some examples include (1) on-site, rapid fabrication of metallic bone implants with patient and injury-specific designs, and (2) fabrication of replacement parts in remote locations (e.g. outer space). Nonetheless, metallic parts made by current additive manufacturing methods tend to have porosity and anisotropy, features typically detrimental to part strength and fatigue resistance. Such parts cannot be used with confidence in load-bearing applications. This award supports scientific investigation that can potentially enable production of fatigue resistant metallic parts by additive manufacturing.

The objectives of this research are (1) to establish relationships between microstructure properties (grain orientation, and morphology), porosity distribution (size, shape, and location), and process parameters (laser power, scanning speed, hatch spacing, and layer orientation); and (2) to understand effects of microstructure properties (grain orientation) and porosity of additively-manufactured materials on their multi-axial fatigue resistance. To achieve the first objective, continuum-scale thermophysical models will be developed and used to relate microstructure properties and porosity distribution to process parameters. These models will be experimentally validated. Ti-6Al-4V specimens will be fabricated using laser-based additive manufacturing under various process parameter combinations. The layer orientation will be altered between 0º-90º, while scanning speed, hatch spacing, and laser power will be varied within ranges prescribed from existing knowledge (e.g. published experimental data). Microstructure properties and porosity distribution of fabricated specimens will be measured using X-ray tomography (size, shape, and location of porosity), as well as optical and scanning electron microscopy (grain orientation, and morphology). To achieve the second objective, multi-axial microstructure-sensitive fatigue models based on critical plane approaches will be developed and validated by experiments. Multi-axial fatigue experiments will be conducted on fabricated specimens, using in-phase and out-of-phase discriminating load paths to exercise different critical loading planes. Fractography on the fracture surface of specimens will be performed to determine location, size, and shape of the pore(s) responsible for initiating cracks. Crack replication techniques will be employed to find the orientation of fatigue micro-cracks with respect to critical loading plane and to determine effects of anisotropic microstructure on fatigue behavior. Through the collaboration with the Korea Institute of Industrial Technology, the generated models will be tested on other additive manufacturing methods and materials.

Agency: NSF | Branch: Standard Grant | Program: | Phase: ITEST | Award Amount: 883.18K | Year: 2016

This project will advance efforts of the Innovative Technology Experiences for Students and Teachers (ITEST) program to better understand and promote practices that increase students motivations and capacities to pursue careers in fields of science, technology, engineering, or mathematics (STEM) by developing opportunities for students to learn creatively in science through inquiry. The project will prepare 72 middle school teachers to work with approximately 1800 students from economically disadvantaged schools who have had few opportunities to participate in technology-rich, inquiry-based learning environments. It will examine coherent sets of experiences through curricular models across mathematics, science, technology and English/language arts so that STEM is collaboratively infused in meaningful, relevant ways into the curriculum throughout the school year. Using a team design, the project will engage university and community college faculty members and industry partners with middle school teachers. Through this effort, teams of educators and experts will develop, test, refine, and infuse STEM principles into regular classroom activities so that students can experience the interconnectedness of STEM through mathematics and science enhanced by technology and technical writing. This project will help address the nations need to increase the diversity of students entering high school who are better prepared to make course selections that will potentially lead to future STEM careers.

The project will use a mixed methods design to capture data through questionnaires, focus groups, observations, interviews, videotapes and pre-post tests. Student increases in science achievement and dispositions towards STEM careers will be analyzed using a quasi-experimental design. A propensity score matching process will be used to equate group with sub-group propensity score matching analysis to examine treatment effects by gender, ethnicity, and SES. Repeated measures will be used to examine increases in teacher self-efficacy for teaching science through inquiry and qualitative methods to identify successes and challenges to implementing the collaborative, cross-disciplinary experiences for students. This project will provide a model framework to guide teachers into creating and implementing collaborative STEM lesson units that will engage industry/community college/STEM professionals in the planning, teaching, and evaluating process. Student experiences developed through the framework will expose students to exciting, relevant STEM curriculum that demonstrates the interconnectedness of their academic courses. The enacted model will enhance the teacher teams while building the self-efficacy of the teachers to deliver STEM lessons across the disciplines. Dissemination efforts are two-fold: feedback and community sharing. Feedback on this model will be garnered through academic presentations from professionals across the STEM disciplines. The project website will also provide access to the framework and sample activities as well as opportunities to react to the model.

Agency: NSF | Branch: Standard Grant | Program: | Phase: IUSE | Award Amount: 299.62K | Year: 2016

This countrys dependency on correct, robust software drives the significance and importance of this work. Vital aspects of national security depend on the US governments ability to withstand daily cyber intrusions. Likewise, the national infrastructure depends on the smart grid and thousands of other software-driven control systems that regulate water supplies, run factories, and operate cars. Yet, teaching students how to write efficient, error-free software continues to be a challenge. This project investigates a new programming pedagogy that will significantly improve training for the programmers we rely on, by advancing ideas on three fronts. First, the project investigates the integration of literate programming ideas into technology supporting learning and into classroom environments, i.e., marrying informal writing and programming. Second, the project contributes to the writing-to-learn (WTL) literature by incorporating WTL principles into a new domain of programming. Third, the project contributes to computer science education literature by investigating the learning processes associated with learning to program in order to improve programming pedagogy.

The goals and scope of this project include advancing the understanding of learning in technology-rich environments by examining how WTL strategies can support novice programmer development. This project employs a case study design that emphasizes concurrent qualitative and quantitative data collection and analysis with mixing occurring during the final interpretation stage. Through a combination of interviews, writing samples, programming metrics, and writing metrics, this project will 1) capture understanding of how writing helps students connect big-picture concepts to specific implementations of programming solutions; 2) identify roles that intermingled writing takes in promoting programming mastery; and 3) identify types of learners (e.g., computing majors, non-computing majors) that most benefit from intermingled writing while learning to program.

Agency: NSF | Branch: Standard Grant | Program: | Phase: CIVIL INFRASTRUCTURE SYSTEMS | Award Amount: 350.00K | Year: 2016

Reducing the instability and vulnerability of our nations critical and complex population-infrastructure system is essential for a more efficient, resilient, and vital society. Recent catastrophic events, such as the Northeast Blackout of 2003 and Hurricane Sandy in 2012, shut down or interrupted essential and interdependent components of our national infrastructure, such as electric networks, fuel supplies, and transportation systems. This vulnerability is exacerbated by changing population dynamics. Those dynamics impose serious challenges to the capacity of the individual components of our infrastructure system to efficiently respond to both moderate disturbances and extreme events. The ultimate goal of this Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) collaborative research project is to increase the resilience of the interdependent population-infrastructure system during disturbances of various magnitudes (including operational uncertainties and disastrous disruptions). This research will benefit infrastructure system planning and operations by developing smart communities/cities where multiple stakeholders can work together to promote mutual interests. This research will also develop innovative educational and training modules to give future generations and practitioners a vision of efficient, resilient and socially vital built environments and means to approach it. Overall, the outcome of this interdisciplinary research will benefit society through energy savings and economic enhancement by means of better infrastructure design and communication systems.

The purpose of this interdisciplinary research is to develop a distributed heterogeneous flow-based modeling framework to quantify the critical and complex interdependence of multiple infrastructure systems and population groups. The framework will also assist in analyzing short-term mobility behaviors and long-term social and demographic evolution of the critical connection between population and infrastructure. These objectives will be achieved by: 1) quantifying the interactions of different demographic groups with multiple infrastructures, 2) characterizing infrastructure facilities in several interconnected yet diverse systems, 3) modeling and optimizing the interdependent population-infrastructure system in a self-organized distributed system in which various infrastructure and population agents communicate on a cyber-platform, and 4) analyzing the important theoretical properties of this integrated model (e.g., system equilibrium and stability). This research makes three key intellectual contributions. First, a heterogeneous-flow-based network modeling method will define the dynamics and equilibria of several interdependent infrastructure systems. Second, the infrastructure model in a nexus with population characteristics allows examination of the two-way interactions between heterogeneous infrastructure facilities and different population groups. Third, this model will be integrated with a distributed cyber-communication platform based on self-organized swarm intelligence to create a realistic system in which multiple parties behave autonomously by communicating their respective available information.

Agency: NSF | Branch: Standard Grant | Program: | Phase: ENVIRONMENTAL ENGINEERING | Award Amount: 60.00K | Year: 2017


Wastewater treatment and nutrient removal schemes are energy-intensive. This research provides an innovative solution to integrate new microbial systems to develop energy-positive wastewater treatment and desalination. A key objective of this research is to use microbes in an electrochemical cell to remove nitrogen compounds at one electrode (the cathode) and to oxidize carbon compounds at the other electrode (the anode). This EAGER project focuses on the feasibility of using bacteria as a catalyst at the cathode. If successful, the results of this project could guide the design of electrochemical cells that would simultaneously remove pollutants from wastewater, desalinate brackish water, and produce electrical energy.

A wide range of encouraging advancements of various bioelectrochemical systems for water treatment have recently been reported. A major challenge is to determine the rate limiting relationships between the bioelectrochemical processes in the bioanode and biocathode biofilms. This EAGER project has the following goals: 1) Discover and establish an energy-positive synergistic relationship between bioanode and anerobic ammonium oxidation (anammox) biocathode processes in microbial desalination cells; 2) Evaluate the performance of anammox bacteria in a bioelectrochemical cell and study the growth kinetics and nitrogen removal capabilities to correlate microbiological parameters with environmental factors and process performance; and 3) Provide research and education opportunities for graduate, undergraduate, and high school students from underrepresented groups and provide outreach to the broader community. The transformative aspect of this project is integrating tertiary wastewater treatment and desalination processes, coupled with concurrent electricity production inspired by bioelectrochemical principles. To overcome the major challenges for the most envisioned applications of microbial desalination cells, this research capitalizes on anammox biocathode development and integrates powerful high-throughput molecular sequencing, advanced process characterization, and electrochemical impedance tools to develop energy-positive integrated wastewater-desalination systems. This project has the potential for wider applications in reclaiming high quality effluents from municipal, agricultural and industrial wastewaters combined with desalination. This EAGER project is enriched by interdisciplinary research activities among electrochemistry, molecular biology, microbiology, environmental and chemical engineering disciplines and positively impacts K-12 students, especially motivating them toward STEM fields.

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