• Title/Summary/Keyword: Missouri

Search Result 453, Processing Time 0.033 seconds

Mapping Within-field Variability Using Airborne Imaging Systems: A Case Study from Missouri Precision Agriculture

  • Hong, S.Y.;Sudduth, K.A.;Kitchen, N.R.;Palm, H.L.;Wiebold, W.J.
    • Proceedings of the KSRS Conference
    • /
    • 2003.11a
    • /
    • pp.1049-1051
    • /
    • 2003
  • This study investigated the use of airborne image data to provide estimates of within -field variability in soil properties and crop growth as an alternative to extensive field data collection. Hyperspectral and multispectral images were acquired in 2000, 2001, and 2002 for central Missouri experimental fields. Data were converted to reflectance using chemically-treated reference tarps with known reflectance levels. Geometric distortion of the hyperspectral pushbroom sensor images was corrected with a rubber sheeting transformation. Statistical analyses were used to relate image data to field-measured soil properties and crop characteristics. Results showed that this approach has potential; however, it is important to address a number of implementation issues to insure quality data and accurate interpretations.

  • PDF

Bacterial Logic Devices Reveal Unexpected Behavior of Frameshift Suppressor tRNAs

  • Sawyer, Eric M.;Barta, Cody;Clemente, Romina;Conn, Michel;Davis, Clif;Doyle, Catherine;Gearing, Mary;Ho-Shing, Olivia;Mooney, Alyndria;Morton, Jerrad;Punjabi, Shamita;Schnoor, Ashley;Sun, Siya;Suresh, Shashank;Szczepanik, Bryce;Taylor, D. Leland;Temmink, Annie;Vernon, William;Campbell, A. Malcolm;Heyer, Laurie J.;Poet, Jeffrey L.;Eckdahl, Todd T.
    • Interdisciplinary Bio Central
    • /
    • v.4 no.3
    • /
    • pp.10.1-10.12
    • /
    • 2012
  • Introduction: We investigated frameshift suppressor tRNAs previously reported to use five-base anticodon-codon interactions in order to provide a collection of frameshift suppressor tRNAs to the synthetic biology community and to develop modular frameshift suppressor logic devices for use in synthetic biology applications. Results and Discussion: We adapted eleven previously described frameshift suppressor tRNAs to the BioBrick cloning format, and built three genetic logic circuits to detect frameshift suppression. The three circuits employed three different mechanisms: direct frameshift suppression of reporter gene mutations, frameshift suppression leading to positive feedback via quorum sensing, and enzymatic amplification of frameshift suppression signals. In the course of testing frameshift suppressor logic, we uncovered unexpected behavior in the frameshift suppressor tRNAs. The results led us to posit a four-base binding hypothesis for the frameshift suppressor tRNA interactions with mRNA as an alternative to the published five-base binding model. Conclusion and Prospects: The published five-base anticodon/codon rule explained only 17 of the 58 frameshift suppression experiments we conducted. Our deduced four-base binding rule successfully explained 56 out of our 58 frameshift suppression results. In the process of applying biological knowledge about frameshift suppressor tRNAs to the engineering application of frameshift suppressor logic, we discovered new biological knowledge. This knowledge leads to a redesign of the original engineering application and encourages new ones. Our study reinforces the concept that synthetic biology is often a winding path from science to engineering and back again; scientific investigations spark engineering applications, the implementation of which suggests new scientific investigations.

A supervised-learning-based spatial performance prediction framework for heterogeneous communication networks

  • Mukherjee, Shubhabrata;Choi, Taesang;Islam, Md Tajul;Choi, Baek-Young;Beard, Cory;Won, Seuck Ho;Song, Sejun
    • ETRI Journal
    • /
    • v.42 no.5
    • /
    • pp.686-699
    • /
    • 2020
  • In this paper, we propose a supervised-learning-based spatial performance prediction (SLPP) framework for next-generation heterogeneous communication networks (HCNs). Adaptive asset placement, dynamic resource allocation, and load balancing are critical network functions in an HCN to ensure seamless network management and enhance service quality. Although many existing systems use measurement data to react to network performance changes, it is highly beneficial to perform accurate performance prediction for different systems to support various network functions. Recent advancements in complex statistical algorithms and computational efficiency have made machine-learning ubiquitous for accurate data-based prediction. A robust network performance prediction framework for optimizing performance and resource utilization through a linear discriminant analysis-based prediction approach has been proposed in this paper. Comparison results with different machine-learning techniques on real-world data demonstrate that SLPP provides superior accuracy and computational efficiency for both stationary and mobile user conditions.

Distributed crack sensors featuring unique memory capability for post-earthquake condition assessment of RC structures

  • Chen, Genda;McDaniel, Ryan;Sun, Shishuang;Pommerenke, David;Drewniak, James
    • Smart Structures and Systems
    • /
    • v.1 no.2
    • /
    • pp.141-158
    • /
    • 2005
  • A new design of distributed crack sensors based on the topological change of transmission line cables is presented for the condition assessment of reinforced concrete (RC) structures during and immediately after an earthquake event. This study is primarily focused on the performance of cable sensors under dynamic loading, particularly a feature that allows for some "memory" of the crack history of an RC member. This feature enables the post-earthquake condition assessment of structural members such as RC columns, in which the earthquake-induced cracks are closed immediately after an earthquake event due to gravity loads, and are visually undetectable. Factors affecting the onset of the feature were investigated experimentally with small-scale RC beams under cyclic loading. Test results indicated that both crack width and the number of loading cycles were instrumental in the onset of the memory feature of cable sensors. Practical issues related to dynamic acquisition with the sensors are discussed. The sensors were proven to be fatigue resistant from shake table tests of RC columns. The sensors continued to show useful performance after the columns can no longer support additional loads.

Bacterial Hash Function Using DNA-Based XOR Logic Reveals Unexpected Behavior of the LuxR Promoter

  • Pearson, Brianna;Lau, Kin H.;Allen, Alicia;Barron, James;Cool, Robert;Davis, Kelly;DeLoache, Will;Feeney, Erin;Gordon, Andrew;Igo, John;Lewis, Aaron;Muscalino, Kristi;Parra, Madeline;Penumetcha, Pallavi;Rinker, Victoria G.;Roland, Karlesha;Zhu, Xiao;Poet, Jeffrey L.;Eckdahl, Todd T.;Heyer, Laurie J.;Campbell, A. Malcolm
    • Interdisciplinary Bio Central
    • /
    • v.3 no.3
    • /
    • pp.10.1-10.8
    • /
    • 2011
  • Introduction: Hash functions are computer algorithms that protect information and secure transactions. In response to the NIST's "International Call for Hash Function", we developed a biological hash function using the computing capabilities of bacteria. We designed a DNA-based XOR logic gate that allows bacterial colonies arranged in a series on an agar plate to perform hash function calculations. Results and Discussion: In order to provide each colony with adequate time to process inputs and perform XOR logic, we designed and successfully demonstrated a system for time-delayed bacterial growth. Our system is based on the diffusion of ${\ss}$-lactamase, resulting in destruction of ampicillin. Our DNA-based XOR logic gate design is based on the op-position of two promoters. Our results showed that $P_{lux}$ and $P_{OmpC}$ functioned as expected individually, but $P_{lux}$ did not behave as expected in the XOR construct. Our data showed that, contrary to literature reports, the $P_{lux}$ promoter is bidirectional. In the absence of the 3OC6 inducer, the LuxR activator can bind to the $P_{lux}$ promoter and induce backwards transcription. Conclusion and Prospects: Our system of time delayed bacterial growth allows for the successive processing of a bacterial hash function, and is expected to have utility in other synthetic biology applications. While testing our DNA-based XOR logic gate, we uncovered a novel function of $P_{lux}$. In the absence of autoinducer 3OC6, LuxR binds to $P_{lux}$ and activates backwards transcription. This result advances basic research and has important implications for the widespread use of the $P_{lux}$ promoter.

An Experimental Study on Bond Strength of Reinforcing Steel in Self-Consolidating Concrete

  • Looney, Trevor J.;Arezoumandi, Mahdi;Volz, Jeffery S.;Myers, John J.
    • International Journal of Concrete Structures and Materials
    • /
    • v.6 no.3
    • /
    • pp.187-197
    • /
    • 2012
  • An experimental investigation was conducted to compare the bond strength of reinforcing steel in self-consolidating concrete (SCC) with conventional concrete (CC). This study investigated two different compressive strengths of SCC as well as CC. The experimental program consisted of 24 pull-out specimens as well as 12 full-scale beams (three for each concrete type and strength). The pull-out specimens were based on RILEM recommendations, and the beam specimens were tested under a simply supported four-point loading condition. The CC test results served as a control and were used to evaluate the results from the SCC pull-out and beam specimen tests. Furthermore, a comparison was performed between results of this study and a bond database of CC specimens. These comparisons indicate that SCC beams possess comparable or slightly greater bond strength than CC beams.