Wichita, KS, United States
Wichita, KS, United States

Wichita State University is a public research university in Wichita, Kansas, United States. It is the third largest university governed by the Kansas Board of Regents.Wichita State University offers more than 60 undergraduate degree programs in more than 200 areas of study in six colleges. The Graduate School offers 44 master's degrees in more than 100 areas and a specialist in education degree. It offers doctoral degrees in applied mathematics; audiology; chemistry; communicative disorders and science; nursing practice; physical therapy; psychology ; educational administration; aerospace, industrial and mechanical engineering; and electrical engineering and computer science.Wichita State University also hosts classes at four satellite locations. West Campus is located in Maize. This 9-acre campus hosts 100–150 university classes each academic semester. The university's South Campus began offering Wichita State University coursework at a new facility in Derby in January 2008. The WSU Downtown Center houses the university's Center for Community Support & Research and the Department of Physical Therapy. A quarter-mile northeast of campus, the Advanced Education in General Dentistry building, built in 2011, houses classrooms and a dental clinic. It is adjacent to the university's 75,000-square-foot Eugene M. Hughes Metropolitan Complex, where many of WSU noncredit courses are taught. Wikipedia.

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Wichita State University | Date: 2016-04-28

A system includes a shear member and an energy absorber. The shear member is configured to couple a seat portion to a base structure of a vehicle. The shear member is configured to sustain a first load without fracture and configured to inelastically deform under a second load. The second load is greater than the first load. The energy absorber is coupled to the seat portion and coupled to the base structure. The energy absorber is configured to absorb the energy following deformation of the shear member.

Wichita State University and Case Western Reserve University | Date: 2016-01-04

Immunogenic compositions against Bacillus anthracis comprising a stabilized protective antigen complex are disclosed. The stabilized complex comprises protective antigen protein and capillary morphogenesis protein-2, with the capillary morphogenesis protein-2 being bound to the protective antigen protein along a binding interface. The stabilized protective antigen complex has increased thermal and structural stability, along with resistance to premature proteolytic degradation. Methods of using the same to induce an immunogenic response in a subject against B. anthracis infection are also disclosed.

Wimalasena K.,Wichita State University
Medicinal Research Reviews | Year: 2011

Vesicular monoamine transporters (VMAT) are responsible for the uptake of cytosolic monoamines into synaptic vesicles in monoaminergic neurons. Two closely related VMATs with distinct pharmacological properties and tissue distributions have been characterized. VMAT1 is preferentially expressed in neuroendocrine cells and VMAT2 is primarily expressed in the CNS. The neurotoxicity and addictive properties of various psychostimulants have been attributed, at least partly, to their interference with VMAT2 functions. The quantitative assessment of the VMAT2 density by PET scanning has been clinically useful for early diagnosis and monitoring of the progression of Parkinson's and Alzheimer's diseases and drug addiction. The classical VMAT2 inhibitor, tetrabenazine, has long been used for the treatment of chorea associated with Huntington's disease in the United Kingdom, Canada, and Australia, and recently approved in the United States. The VMAT2 imaging may also be useful for exploiting the onset of diabetes mellitus, as VMAT2 is also expressed in the β-cells of the pancreas. VMAT1 gene SLC18A1 is a locus with strong evidence of linkage with schizophrenia and, thus, the polymorphic forms of the VMAT1 gene may confer susceptibility to schizophrenia. This review summarizes the current understanding of the structure-function relationships of VMAT2, and the role of VMAT2 on addiction and psychostimulant-induced neurotoxicity, and the therapeutic and diagnostic applications of specific VMAT2 ligands. The evidence for the linkage of VMAT1 gene with schizophrenia and bipolar disorder I is also discussed. © 2010 Wiley Periodicals, Inc.

Agency: NSF | Branch: Standard Grant | Program: | Phase: GEOMETRIC ANALYSIS | Award Amount: 150.00K | Year: 2016

Award: DMS 1611780, Principal Investigator: Catherine E. Searle

Global Riemannian geometry generalizes the classical Euclidean, Spherical and Hyperbolic geometries to a wide variety of geometric spaces in which the distance between points is described by minimizing the lengths of curves that join those points. Curvature or bending properties of Riemannian spaces generalize the visual sense we have that a sphere is round (positively curved, with the sense that curvature is related to the diameter of the sphere, and that a sphere of smaller diameter is more greatly curved than a sphere of large diameter) or Euclidean space is flat (of zero curvature). Differential geometers construct local ways to measure the curvature or bending properties of a geometry, and a major goal is to relate these local aspects of a Riemannian space to global properties that are much more flexible and are described as topology. For example, if a space has the property that around every point there is a neighborhood that is metrically identical to the arctic region of a sphere of radius 1, must the entire space turn out to be identical to that sphere? (The answer is no, but not by much.) What happens if those neighborhoods are merely close in metric properties to that arctic region - does changing from constant curvature to allowing small variations change that answer? Several versions of the notion of curvature are studied, summarizing local geometry in greater or lesser levels of detail, and manifolds with curvature bounds have been studied intensively since the inception of global Riemannian geometry. The projects supported by this grant will study symmetries of Riemannian manifolds and of some related spaces in the presence of lower bounds on curvature.

This research program concerns both sectional curvature and Ricci curvature lower bounds and their corresponding generalizations to Alexandrov spaces, with an eye to gaining a deeper understanding of this largely unknown class of spaces. Basic problems in this agenda concern the following areas: (1) symmetries and topology of positively and non-negatively curved Riemannian manifolds and Alexandrov spaces and (2) symmetries and topology of Riemannian manifolds of positive Ricci curvature and almost non-negative sectional curvature. Classification problems in these regimes are both difficult and intriguing, and touch on several mathematical specialties that are neighbors of differential geometry, including Lie groups and their actions on manifolds, as well as algebraic topology.

Agency: NSF | Branch: Standard Grant | Program: | Phase: S&CC: Smart & Connected Commun | Award Amount: 179.84K | Year: 2016

Pedestrian safety continues to be a significant concern in urban communities. Several recent reports indicate that injuries and fatalities in pedestrian-related accidents are steadily rising and that pedestrian distraction is one of the leading causes in such accidents. Existing systems and techniques for improving pedestrian safety, which primarily operate on users smartphones and mobile devices in a stand-alone fashion, have several design drawbacks and performance and usability concerns that have precluded their successful adoption and usage. The goal of this project is to improve pedestrian safety by designing accurate, efficient and usable tools and techniques, which can be easily adopted by urban users.

In order to accomplish this goal, this project plans to pursue a focused research agenda involving novel technologies and several exploratory and untested ideas. As part of the proposed pedestrian safety framework, accurate and energy-efficient on-device distraction detection techniques will be developed by employing multi-sensor and heterogeneous data available from upcoming mobile and wearable devices. In this direction, supervised and semi-supervised learning will be used to design efficient activity classification and distraction prediction techniques which will be empirically evaluated using proof-of-concept implementations. Unlike existing stand-alone approaches, the proposed framework employs a connected-community approach to accurately capture the impact of both a pedestrians own actions, as well as the actions of others, on his/her safety. This involves the design and implementation of a privacy-preserving and cloud-assisted data-analytics engine to capture, analyze and notify pedestrians of impending hazardous situations from the crowd-sourced distraction data obtained from participating users. Finally, a comprehensive performance and usability evaluation will be conducted by deploying a large-scale testbed involving participants from Wichita State Universitys (WSU) campus community. The project outcomes, including the planned testbed, will have a significant impact on improving pedestrian safety within the WSU campus community. If successful, similar trials at an urban or city-wide scale can also be envisioned. In addition to improving pedestrian safety, this project will educate users and participants on the impact of technology on pedestrian safety and its role in improving the same. Project outcomes and results will be disseminated by means of peer-reviewed publications, white papers and open-source applications. Applications and anonymous data collected from the planned testbed will be appropriately disseminated to facilitate additional research and advances in the area of pedestrian safety technology.

Agency: NSF | Branch: Standard Grant | Program: | Phase: ENVIRONMENTAL SUSTAINABILITY | Award Amount: 500.00K | Year: 2016

1554018 (Buyuktahtakin). The goal of this research is to design optimal intervention and resource allocation strategies to protect ecological systems from the detrimental impacts of invasive species. This research goal will be pursued through four specific objectives: (1) designing a novel mathematical optimization framework; (2) investigating a new class of game theoretic problems to coordinate multiple stakeholders (e.g., government, land managers, cooperatives) in invasive species management and provide insight into public policy decisions; (3) formulating and solving novel surveillance and control problems under uncertainty; and (4) performing experiments to demonstrate the potential benefit of the proposed models and algorithms by using real-life cases. The education objective of this CAREER program is to create decision models for use in outreach, educational, and management activities; in return, interactions with stakeholders, students, and teachers will provide feedback for designing cutting-edge and practical mathematical models.

The research efforts will include: (1) design of a novel decomposition-based optimization framework that will help to overcome a big challenge of computational complexity in spatio-temporal optimization; (2) development of rigorous optimization models and methods to solve high-dimensional resource allocation problems in environmental management; (3) development of a decision support tool to provide efficient management practices for invasive species management, in collaboration with ecologists, managers, and policy makers; (4) advancements in theory and methodology through a rigorous analysis of uncertainty and novel surveillance and control modeling; (5) a new class of game theoretic models and algorithms that can be used to provide fundamental insights into the design of public policies for environmental management; and (6) modeling, algorithmic, and computational advances in discrete optimization, which potentially may help solve other important optimization problems.

This award is co-funded by the CBET/ENG Environmental Sustainability program and the DMS/MPS Division under BioMaPs.

Agency: NSF | Branch: Continuing grant | Program: | Phase: INSTRUMENTAT & INSTRUMENT DEVP | Award Amount: 262.02K | Year: 2016

This CAREER award from the Chemical Measurement & Imaging Program (with co-funding from the Instrument Development for Biological Research Program) supports the efforts of Professor Alexandre Shvartsburg at Wichita State University to develop new technologies for the characterization of biomaterials. Mass spectrometry (MS) is a technique used to identification and characterization biological and environmental samples. To enable application to complex samples, MS is usually preceded by a separation step, typically employing solution-based methods of liquid chromatography or electrophoresis. These methods are increasingly being replaced or complemented by much faster separations based on gas-phase ion mobility spectrometry (IMS), which can provide additional insight into elements of ion structure. Dr. Shvartsburg and his group are advancing the capabilities of IMS based on fundamentally new measurement concepts. The research is integrated with an educational program centered on an IMS exhibit in the Wichita Exploration Place and other science museums and discovery centers nationwide, and taken to schools as part of a K-12 outreach program. The exhibit emulates IMS separations demonstrating the key aspects of resolution and sensitivity in an interactive format. This effort is complemented by a summer program for faculty from undergraduate institutions and community colleges in Kansas, providing them with opportunities to learn more about MS, IMS, and their applications. Incorporation of this knowledge into courses taught at their home institutions may help prepare students to contribute to a technology-based economy.

Initial IMS methods were designed such that measured ion velocities are linearly proportional to the applied electric field. The relationship between field strength and velocity becomes more complex in strong fields, where ion mobility varies with field strength, enabling a newer technique called field asymmetric waveform IMS (FAIMS) that sorts ions by the difference between mobilities at high and low fields. FAIMS is capable of providing exceptionally fine separations, extending, in favorable cases, to separations of isotopic isomers (isotopomers). Dr. Shvartsburg is pursuing multiple approaches to advancing the resolving power of FAIMS by expanding the nonlinear IMS paradigm in fundamentally novel ways. One approach is higher-order differential IMS employing more complex asymmetric waveforms to achieve unique separations. Another is IMS with alignment of dipole direction, where the pendular locking of macromolecular dipoles permits capturing the directionally (rather than orientationally) averaged cross sections for more detailed structural characterization. Implementation of FAIMS at reduced temperatures may extend the pendular regime to smaller ions (including essentially all peptides) and avoid heating ions above room temperature, which can cause dissociation or structural distortion in high-field IMS systems. Assembly of multidimensional separations comprising linear and nonlinear IMS stages is central to this work. By devising and sharing teaching tools related to these sophisticated concepts, Dr. Shvartsburg is not only advancing our characterization capabilities, but also helping prepare students with the skills and understanding needed to advance the state of technology.

Agency: NSF | Branch: Standard Grant | Program: | Phase: RSCH EXPER FOR UNDERGRAD SITES | Award Amount: 324.00K | Year: 2017

This award establishes a new Research Experiences for Undergraduates (REU) Site at Wichita State University. The REU Site will host undergraduate students from across the nation to conduct research during the summer with faculty mentors on networked cyber-physical systems. Cyber-physical systems are engineered systems that are built from and depend on the seamless integration of computational algorithms and physical components. Cyber-physical systems often present significant communications and networking challenges due to the complex, real-world environments in which the devices are expected to operate. The environments are diverse and range from operating underwater to flying in the air. They could involve use in manufacturing facilities or simple use as personal devices. The project plans to recruit a diverse cohort of undergraduate students each summer, including students from groups traditionally under-represented in computing. In addition to their research activities, the students will participate in other professional development activities that will prepare them for entering the computing workforce and for possible futures as researchers.

The REU site is led by faculty mentors from the computer networking group within the Department of Electrical Engineering and Computer Science at Wichita State University. The affiliated research laboratories provide students with opportunities to use state-of-the-art equipment and facilities to explore topics that are current and timely with faculty mentors who have significant experience and expertise in the area of networked cyber-physical systems. Realizing networked cyber-physical systems presents a rich set of research problems in areas such as indoor and outdoor positioning and localization, wireless communications and networking, security and privacy, cloud computing, mobile and wearable computing, and data analytics. The goals of the project are to advance the technical field of networked cyber-physical systems while simultaneously preparing the next generation of graduate students and workforce participants. This project is jointly funded by the Directorate for Computer and Information Science and Engineering (CISE) and the Experimental Program to Stimulate Competitive Research (EPSCoR).

Agency: NSF | Branch: Standard Grant | Program: | Phase: ELEMENTARY PARTICLE ACCEL USER | Award Amount: 246.00K | Year: 2016

Neutrinos are among the most abundant particles in the universe, emanating from stars, nuclear reactors, the core of the earth and even interactions from the early universe. Despite their abundance, there is limited knowledge about many of the fundamental properties of neutrinos such as their mass. A broad international research program is progressing to study the properties of these particles. One aspect of this program is to investigate neutrino oscillations: one type of neutrino changing into another type. Measuring these oscillations could lead to new models of particle interaction. In order for measurements to continue to improve, understanding how the neutrino interacts with other types of matter becomes critical. This project will carry out a focused research effort with the objective to characterize neutrino interactions with matter to enhance the domestic neutrino research program. This work will also have broad impact by enhancing the big data initiative at WSU, which is a multidisciplinary effort that seeks to engage the campus, its student base, and local industry in cutting-edge data analytic techniques which are applicable in a wide range of both industrial and academic fields.

This work will be accomplished by analyzing neutrino interaction data from the NuMI Off-axis electron-neutrino Appearance experiment (NOvA) near detector. The NOvA near detector is sited in the main injector neutrino source at Fermilab, just outside Chicago, Illinois. This setup provides a very intense, near mono-energetic source of neutrinos, and a detector ideal for measuring a broad range of interaction types. One of the limitations of neutrino oscillation measurement is the uncertainty in neutrino - nucleon interactions. This work will provide new and critical neutrino-nucleon measurements to help more fully understand the nature of neutrino interactions with matter while providing several young scientists opportunities to engage in world leading high energy particle physics research.

Agency: NSF | Branch: Standard Grant | Program: | Phase: PHYLOGENETIC SYSTEMATICS | Award Amount: 149.01K | Year: 2016

Goldenrods are a widespread, yet taxonomically challenging group of plants with an estimated 150 species that mainly live in North America. Previous attempts to determine how many species there are and how they are related have failed because of the large number of potential species involved, extensive hybridization among these species, and the seemingly recent evolutionary divergence of species within the group. The limited understanding of goldenrod biodiversity has slowed progress in plant evolutionary ecology. Goldenrods have emerged as a critical study system for many important processes including species formation, invasive species biology, nutrient cycling in soils, and pollination biology. This research will reconstruct evolutionary relationships in the group by using large amounts of DNA sequence data. Project participants, including three undergraduate researchers, will sample tissue from specimens representing all 150 putative goldenrod species under the guidance of a project collaborator who is the global expert on goldenrod taxonomy. This approach will allow the genealogy of this large genus to be reconstructed rapidly and economically, and will provide an essential evolutionary framework for other goldenrod researchers.

This project will employ an anchored phylogenomics approach to capture DNA sequence data from 1200 locations across the genome of goldenrods (Solidago, Asteraceae). Multiple samples from each species will be obtained exclusively from herbarium specimens, which have been shown to harbor DNA of sufficient quantity and quality for this genomic technique. Sampling will focus on the >4200 Solidago herbarium specimens for which the research team and collaborators have previously obtained a chromosome count, with the cytotype of additional samples estimated using a highly-accurate microsatellite allele number approach. Both diploids-only and combined diploid/polyploid species trees will be reconstructed in order to establish both divergent and reticulate evolutionary events. Phylogenetic, taxonomic, and methodological results stemming from this research will be disseminated in scientific journals and more broadly through a Solidago-focused website maintained by a project collaborator.

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