News Article | April 17, 2017
LearnHowToBecome.org, a leading resource provider for higher education and career information, has released its ranking of Nebraska’s best colleges for 2017. Of the 20 four-year schools included on the list, Creighton University, Nebraska Wesleyan University, University of Nebraska Lincoln, Doane College Crete and Hastings College were the top five schools. Of the 9 two-year schools included in the ranking, Western Nebraska Community College, Mid-Plains Community College, Metropolitan Community College, Northeast Community College and Southeast Community College were the top five. A full list of schools is included below. “A strong educational foundation can open a lot of doors when it comes to starting a new career,” said Wes Ricketts, senior vice president of LearnHowToBecome.org. “These Nebraska colleges and universities have distinguished themselves by providing excellent service to student through quality degree programs and career resources.” To be included on the “Best Colleges in Nebraska” list, schools must be regionally accredited, not-for-profit institutions. Each college is also analyzed based on additional metrics including program offerings, employment services, academic counseling, opportunities for financial aid, graduation rates and student/teacher ratios. Complete details on each college, their individual scores and the data and methodology used to determine the LearnHowToBecome.org “Best Colleges in Nebraska” list, visit: Nebraska’s Best Four-Year Colleges for 2017 include: Bellevue University Chadron State College Clarkson College College of Saint Mary Concordia University-Nebraska Creighton University Doane College-Crete Grace University Hastings College Midland University Nebraska Methodist College of Nursing & Allied Health Nebraska Wesleyan University Peru State College Union College University of Nebraska at Kearney University of Nebraska at Omaha University of Nebraska Medical Center University of Nebraska-Lincoln Wayne State College York College Nebraska’s Best Two-Year Colleges for 2017 include: Central Community College Little Priest Tribal College Metropolitan Community College Mid-Plains Community College Nebraska College of Technical Agriculture Nebraska Indian Community College Northeast Community College Southeast Community College Western Nebraska Community College ### About Us: LearnHowtoBecome.org was founded in 2013 to provide data and expert driven information about employment opportunities and the education needed to land the perfect career. Our materials cover a wide range of professions, industries and degree programs, and are designed for people who want to choose, change or advance their careers. We also provide helpful resources and guides that address social issues, financial aid and other special interest in higher education. Information from LearnHowtoBecome.org has proudly been featured by more than 700 educational institutions.
Elwell A.L.,Morgridge Institute for Research |
Gronwall D.S.,University of Wisconsin - Madison |
Miller N.D.,University of Wisconsin - Madison |
Spalding E.P.,University of Wisconsin - Madison |
Durham Brooks T.L.,Doane College
Plant, Cell and Environment | Year: 2011
Plant growth and development is profoundly influenced by environmental conditions that laboratory experimentation typically attempts to control. However, growth conditions are not uniform between or even within laboratories and the extent to which these differences influence plant growth and development is unknown. Experiments with wild-type Arabidopsis thaliana were designed to quantify the influences of parental environment and seed size on growth and development in the next generation. A single lot of seed was planted in six environmental chambers and grown to maturity. The seed produced was mechanically sieved into small and large size classes then grown in a common environment and subjected to a set of assays spanning the life cycle. Analysis of variance demonstrated that seed size effects were particularly significant early in development, affecting primary root growth and gravitropism, but also flowering time. Parental environment affected progeny germination time, flowering and weight of seed the progeny produced. In some cases, the parental environment affected the magnitude of (interacted with) the observed seed size effects. These data indicate that life history circumstances of the parental generation can affect growth and development throughout the life cycle of the next generation to an extent that should be considered when performing genetic studies. © 2010 Blackwell Publishing Ltd.
Laungani R.,Doane College |
Knops J.M.H.,University of Nebraska - Lincoln
Oikos | Year: 2012
In many terrestrial ecosystems nitrogen (N) limits productivity and plant community composition is influenced by N availability. However, vegetation is not only controlled by N; plant species may influence ecosystem N dynamics through positive or negative effects on N cycling. We examined four potential mechanisms of plant species effects on nitrogen (N) cycling. We found no species differences in gross ammonification suggesting there are no changes in the ecosystem N cycling rate between the soil organic matter pool (SOM) and the plant/microbial pool. We also found weak differences among plant species in gross nitrification, thus plant species only marginally change the relative sizes of the NH 4 + and NO 3 - pools. Next, more than 90% of mineralized N was microbially immobilized, and microbial N immobilization was positively correlated with root biomass. Finally, while species differed in extractable soil NO3 - concentration, these differences were not related to root biomass suggesting that microbial immobilization drives net N mineralization and soil NO 3 - levels. Our results indicate that plant species do not cause feedbacks on the N cycling rate among the three major ecosystem N pools over nine years. However, plant carbon (C) inputs to the soil control microbial N immobilization and thereby change N partitioning between the plant and microbial N pools. Furthermore our results suggest that the SOM pool can act as a strong bottleneck for N cycling in these systems. © 2012 The Authors. Oikos © 2012 Nordic Society Oikos.
Choi J.K.,University of Wyoming |
Sargsyan G.,University of Wyoming |
Shabbir-Hussain M.,University of Wyoming |
Holmes A.E.,Doane College |
Balaz M.,University of Wyoming
Journal of Physical Chemistry B | Year: 2011
Here, we report a highly sensitive and specific chiroptical detection method of condensed left-handed Z-DNA in the presence of canonical right-handed B-DNA. The selective formation of a left-handed cytosine - guanine oligonucleotide (CG ODN) in the presence of a right-handed adenine - thymine oligonucleotide (AT ODN) was induced by millimolar concentrations of NiCl 2 and confirmed by electronic circular dichroism. The nickel(II) induced B- to Z-DNA transition of the CG ODN was accompanied by the concurrent condensation of the Ni(II)-Z-DNA, as confirmed by resonance light scattering, transmission spectroscopy, and centrifugation. The selective condensation of the CG ODN allowed its separation from the AT ODN using centrifugation. No structural changes were observed for the AT ODN upon addition of Ni(II). Anionic nickel(II) meso-tetra(4-sulfonatophenyl) porphyrin (NiTPPS) spectroscopically detected the left-handed Z-DNA in the Z-DNA/B-DNA mixture via a strong exciton coupled circular dichroism (ECCD) signal induced in the porphyrin Soret band absorption region. The bisignate ECCD signal originates from the assembly of achiral porphyrins into helical arrays by intermolecular interactions with the condensed Z-DNA scaffold. No induced CD signal was observed for the Ni(II)-B-DNA-NiTPPS complex. Hence, an unambiguous spectroscopic recognition of Ni(II) induced condensed Z-DNA in the presence of B-DNA is possible. The sensitivity of this chiroptical method was as low as 5% of the Z-DNA (4.4 μmol base pair concentration) in the presence of 95% B-DNA (80 μmol). Thus, NiTPPS is a highly sensitive probe for applications in biosensing via the CD signal amplification. © 2011 American Chemical Society.
Durham Brooks T.L.,University of Wisconsin - Madison |
Durham Brooks T.L.,Doane College |
Miller N.D.,University of Wisconsin - Madison |
Spalding E.P.,University of Wisconsin - Madison
Plant Physiology | Year: 2010
Plant development is genetically determined but it is also plastic, a fundamental duality that can be investigated provided large number of measurements can be made in various conditions. Plasticity of gravitropism in wild-type Arabidopsis (Arabidopsis thaliana) seedling roots was investigated using automated image acquisition and analysis. A bank of computer-controlled charge-coupled device cameras acquired images with high spatiotemporal resolution. Custom image analysis algorithms extracted time course measurements of tip angle and growth rate. Twenty-two discrete conditions defined by seedling age (2, 3, or 4 d), seed size (extra small, small, medium, or large), and growth medium composition (simple or rich) formed the condition space sampled with 1,216 trials. Computational analyses including dimension reduction by principal components analysis, classification by k-means clustering, and differentiation by wavelet convolution showed distinct response patterns within the condition space, i.e. response plasticity. For example, 2-d-old roots (regardless of seed size) displayed a response time course similar to those of roots from large seeds (regardless of age). Enriching the growth medium with nutrients suppressed response plasticity along the seed size and age axes, possibly by ameliorating a mineral deficiency, although analysis of seeds did not identify any elements with low levels on a per weight basis. Characterizing relationships between growth rate and tip swing rate as a function of condition cast gravitropism in a multidimensional response space that provides new mechanistic insights as well as conceptually setting the stage for mutational analysis of plasticity in general and root gravitropism in particular. © 2009 American Society of Plant Biologists.
Agency: NSF | Branch: Standard Grant | Program: | Phase: IRES | Award Amount: 248.42K | Year: 2015
Doane College, a small liberal arts college in Crete, Nebraska, will send at least nine undergraduate science students and three postdoctoral fellows to Germany to conduct nanotechnology research at the Karlsruhe Institute of Technology (KIT). Three students and a postdoctoral fellow will go each summer for the duration of three consecutive years. The work involves the development of a versatile nano-scaled detection tool that could provide a high societal impact. In Germany, Doane students will work in the labs of Dr. Michael Hirtz and Dr. Pavel Levkin, both well-known internationally for their expertise on nano-scale phenomena. The undergraduate students will receive extensive research training, as well as culture and language preparation at Doane College before their departure to Germany. While in Germany, the research team will be given an in-depth orientation to the country and the research setting at KIT from the project?s Principle Investigator and the international collaborators. Through the PI, the student team will also be linked with investigators at the Center for Nanohybrid Functional Materials at the University of Nebraska in Lincoln, Nebraska. The students, who are relatively isolated in the US heartland, greatly benefit from the exposure to a culture abroad, providing a new experience for them. The project provides increased student, post-doc fellow, and faculty understanding of the collaborative research process, as well as potentially motivating undergraduates to continue their studies and/or careers in science, technology, engineering and math.
The research collaboration with the Karlsruhe Institute of Technology (KIT) in Germany will advance a technology called DETECHIP (short for detection chip). This is a proven sensor technology based on differential responses of colorimetric and fluorometric sensing elements upon exposure to small molecules of interest, such as drugs of abuse, explosives, and pesticides.
DETECHIP is evolving from a macroscale, liquid-phase-testing array utilizing a 96-well plate to a micro-scale, solid-phase array through the use of piezoelectric and inkjet printing. Seeking to further miniaturize and optimize DETECHIP, this work will incorporate Dip-Pen Nanolithography (DPN) that is available at KIT for micro-to-nanoscale array fabrication on novel polymeric surfaces. In collaboration with the KIT collaborators, the Doane investigators will incorporate the chemical sensors onto amphiphilic nanoporous (HEMA) polymeric surfaces that are produced at KIT.
The goal is the uniform fabrication and analysis of arrays for the detection of small molecules. Expected deliverables include: 1) a small micro-to-nanometer-scaled, polymer-supported DETECHIP array; 2) methodology for bench-top or portable analysis with the best imaging and/or read-out technology to be determined during this project period; and 3) reports documenting the efficacy, ease of use, and cost effectiveness of the resulting DETECHIP technology.
This international collaboration sets the stage for US post-docs and undergraduates to apply for German Humboldt, Fulbright, and DAAD-RISE fellowships, while German KIT students can participate in academic exchange programs with Doane College.
Agency: NSF | Branch: Standard Grant | Program: | Phase: IUSE | Award Amount: 300.00K | Year: 2016
The Digital Imaging and Vision Applications in Science (DIVAS) project will have strong significance and importance toward advancing the prosperity and welfare of the country by creating a pedagogical and programmatic onramp of computational materials that empower natural science majors to engage in authentic computational problems. DIVAS will ultimately increase the number of skilled computationally trained scientists entering the workforce, addressing the critical shortage of these workers.
DIVAS goal is to develop, use, and test instructional practices and curricular innovations that will engage and train STEM undergraduates in computation and computing related to image processing. The scope will be to assess practices and innovations in the traditional classroom environment, in informal training boot camps, and in undergraduate research settings for their impact on student self-efficacy, computational competency, and intended and actual career paths. The project team will use an established instrument for assessing self-efficacy in computation and will develop a new tool to assess computational competency across a wide range of educational settings. Growth in self-efficacy, computational skills, and career choice will be assessed each time a student engages in a DIVAS innovation. This collaborative project will establish and strengthen partnerships with key academic institutions and organizations and will prioritize practices and innovations for adoption within a broader DIVAS network. DIVAS will test the effectiveness of educational interventions occurring in the traditional learning environment, in informal training environments, and in professional settings.
Agency: NSF | Branch: Standard Grant | Program: | Phase: MAJOR RESEARCH INSTRUMENTATION | Award Amount: 374.40K | Year: 2010
With this award from the Major Research Instrumentation (MRI) program Professor Erin Wilson and colleagues Christopher Wentworth, David Clevette, Andrea Holmes and Tessa Durham Brooks from Doane College will acquire a 300 MHz Nuclear Magnetic Resonance (NMR) spectrometer with solid and liquid capabilities. The proposal is aimed at enhancing research training and education at all levels, especially in areas of study such as biochemistry, plant physiology and condensed matter physics.
Nuclear Magnetic Resonance (NMR) spectroscopy is one of the most powerful tools available to chemists for the elucidation of the structure of molecules. It is used to identify unknown substances, to characterize specific arrangements of atoms within molecules, and to study the dynamics of interactions between molecules in solution and also in the solid state. Access to state-of-the-art NMR spectrometers is essential to chemists who are carrying out frontier research. The results from these NMR studies will have an impact in synthetic organic/inorganic chemistry, materials chemistry, physics and biochemistry. This instrument will be an integral part of teaching as well as research.
Agency: NSF | Branch: Standard Grant | Program: | Phase: S-STEM:SCHLR SCI TECH ENG&MATH | Award Amount: 607.54K | Year: 2015
In Nebraska, seven of the twelve industry clusters that drive the state economy are STEM-related. However, Nebraska STEM employers struggle to employ and retain highly qualified, technically skilled employees, citing limited workforce availability as the primary disadvantage to business growth statewide. Doane Colleges Sustaining Undergraduate Classroom and Career Excellence for STEM Students (SUCCESS) Project will award scholarships to 24 academically talented students with financial need in the colleges biology, biochemistry, chemistry, environmental science, or physics program. Through increasing enrollment in STEM majors and connecting students to local STEM industries, the project will address Nebraskas need for a highly qualified STEM workforce.
The technical merit of this project lies in its plan to design, implement, assess, and advance practices that support STEM student success, such as STEM living and learning communities, Four-Year Graduation Guarantees, common coursework structures, STEM workshops, and undergraduate research experiences. Guided by a highly qualified PI team, and with strong institutional support, the SUCCESS project will evaluate STEM recruitment activities in order to advance knowledge regarding which activities are most successful at increasing STEM student postsecondary enrollment. Moreover, the project will build on past and current EPSCoR funding to increase the number and quality of research opportunities for STEM students, as well as opportunities for STEM students to participate and present at professional STEM conferences. Evaluation findings will be disseminated within the Doane community and to other postsecondary institutions and STEM professionals in order to advance the knowledge and practice of STEM student recruitment, retention to graduation, and STEM career preparation and placement, thus contributing to the knowledge base about undergraduate scholarship projects of this type and underlying elements that make them successful.
Miller N.D.,University of Wisconsin - Madison |
Brooks T.L.D.,University of Wisconsin - Madison |
Brooks T.L.D.,Doane College |
Assadi A.H.,University of Wisconsin - Madison |
Spalding E.P.,University of Wisconsin - Madison
Genetics | Year: 2010
Gene disruption frequently produces no phenotype in the model plant Arabidopsis thaliana, complicating studies of gene function. Functional redundancy between gene family members is one common explanation but inadequate detection methods could also be responsible. Here, newly developed methods for automated capture and processing of time series of images, followed by computational analysis employing modified linear discriminant analysis (LDA) and wavelet-based differentiation, were employed in a study of mutants lacking the Glutamate Receptor-Like 3.3 gene. Root gravitropism was selected as the process to study with high spatiotemporal resolution because the ligand-gated Ca 2+-permeable channel encoded by GLR3.3 may contribute to the ion fluxes associated with gravity signal transduction in roots. Time series of root tip angles were collected from wild type and two different glr3.3 mutants across a grid of seed-size and seedling-age conditions previously found to be important to gravitropism. Statistical tests of average responses detected no significant difference between populations, but LDA separated both mutant alleles from the wild type. After projecting the data onto LDA solution vectors, glr3.3 mutants displayed greater population variance than the wild type in all four conditions. In three conditions the projection means also differed significantly between mutant and wild type. Wavelet analysis of the raw response curves showed that the LDA-detected phenotypes related to an early deceleration and subsequent slower-bending phase in glr3.3 mutants. These statistically significant, heritable, computation-based phenotypes generated insight into functions of GLR3.3 in gravitropism. The methods could be generally applicable to the study of phenotypes and therefore gene function. Copyright © 2010 by the Genetics Society of America.