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The TRI-AG Academics Research Extension College Of Agriculture Sciences - 2017
Get PDFhttps://digitalcommons.pvamu.edu/pv-magazine/1016/thumbnail.jp
The TRI-AG Academics Research Extension College Of Agriculture Sciences - Vol. 1 No. 1 - 2017
Get PDFhttps://digitalcommons.pvamu.edu/pv-magazine/1013/thumbnail.jp
Assessment of Keratitis Damage in an Age Dependent Mouse Model Using Analytical Software
Get PDFBackground: Streptococcus pneumoniae (pneumococcus) is a grampositive bacterium that is responsible for diseases such as, otitis media, conjunctivitis, bacterial keratitis, pneumonia, and meningitis. Bacterial keratitis is one of the most common after-effects of trauma to the eye. Some reports have shown the S. pneumoniae spreads through enzymes that are produced to digest the cornea, which in turn can causes blindness. There is a need for more improved measures that can reverse the detrimental effects of the bacteria. The long-term goal of this research is to better understand the complete role of S. pneumoniae and its components in bacterial keratitis to develop next generation therapies to prevent blindness. The purpose of this study is to develop alternative measures to evaluate damage associated with keratitis infection by use of computer applications. Methods: This study analyzed images of the established Keratitis pneumococcal mouse model. The eye images of mice 7-8-week-old and 9-month-old were collected. Additional images were taken on post-infection days one, three, five, and nine, revealing the progression of the infection. Results: The ImageJ Application provided more in depth review to determine the detrimental effects of S. pneumoniae. Through the software, a “Color Threshold” was created on every image to emphasize the area of damage caused by the bacteria. A scatter plot of every image created a map of the particles, and the diameter created a scale demonstrating the impact of keratitis. Data revealed that the most significant increase in infection occurs between Day 1 and 3 post-infection. Conclusions: The study has created a computer model to establish a baseline for the infection process of S. pneumoniae in the traditional mouse model. ImageJ has proven to be a useful tool to analyze the impact of disease on the murine model. Results from this study also provide evidence of the importance of early intervention in ocular disease
Some relations on generalized Rice\u27s matrix polynomials
Get PDFThe main aim of this paper is to obtain certain properties of generalized Rice’s matrix polynomials such as their matrix differential equation, generating matrix functions, an expansion for them. We have also deduced the various families of bilinear and bilateral generating matrix functions for them with the help of the generating matrix functions developed in the paper and some of their applications have also been presented here
Rate of Convergence for Generalized Szász–Mirakyan operators in exponential weighted space
No full textIn the present paper, generalized Szász–Mirakyan operators in exponential weighted space of functions of one variable are introduced. Using a method given by Rempulska and Walczak, some theorems on the degree of approximation are investigated. Furthermore, a numerical example with an illustrative graphic is given to show comparison for the error estimates of the operators
Ostrowski type fractional integral operators for generalized (;,,)−preinvex functions
Get PDFIn the present paper, the notion of generalized (;,,)−preinvex function is applied to establish some new generalizations of Ostrowski type inequalities via fractional integral operators. These results not only extend the results appeared in the literature but also provide new estimates on these type
Evaluation and inter-comparison of satellite soil moisture products using in situ observations over Texas, U.S.
No full textThe main goal of this study was to evaluate four major remote sensing soil moisture (SM) products over the state of Texas. These remote sensing products are: (i) the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) (2002-September 2011); (ii) the Soil Moisture Ocean Salinity system (SMOS, 2010-present); (iii) AMSR2 (2012-present); and (iv) the Soil Moisture Active Passive system (SMAP, 2015-present). The quality of the generated SM data is influenced by the accuracy and precision of the sensors and the retrieval algorithms used in processing raw data. Therefore, it is important to evaluate the quality of these satellite SM products using in situ measurements and/or by inter-comparing their data during overlapping periods. In this study, these two approaches were used where we compared each satellite SM product to in situ soil moisture measurements and we also conducted an inter-comparison of the four satellite SM products at 15 different locations in Texas over six major land cover types (cropland, shrub, grassland, forest, pasture and developed) and eight climate zones along with in situ SM data from 15 Mesonet, USCRN and USDA-NRCS Scan stations. Results show that SM data from SMAP had the best correlation coefficients range from 0.37 to 0.92 with in situ measurements among the four tested satellite surface SM products. On the other hand, SM data from SMOS, AMSR2 and AMSR-E had moderate to low correlation coefficients ranges with in situ data, respectively, from 0.24-0.78, 0.07-0.62 and 0.05-0.52. During the overlapping periods, average root mean square errors (RMSEs) of the correlations between in situ and each satellite data were 0.13 (AMSR-E) and 0.13 (SMOS) cm3/cm3 (2010-2011), 0.16 (AMSR2) and 0.14 (SMOS) cm3/cm3 (2012-2016) and 0.13, 0.16, 0.14 (SMAP, AMSR2, SMOS) cm3/cm3 (2015-2016), respectively. Despite the coarser spatial resolution of all four satellite products (25-36 km), their SM measurements are considered reasonable and can be effectively used for different applications, e.g., flood forecasting, and drought prediction; however, further evaluation of each satellite product is recommended prior to its use in practical applications
Cooperative output regulation of multi-agent systems with switched leader dynamics via smooth switching
No full textThis paper deals with the leader-following cooperative output regulation problem for heterogeneous multi-agent systems by considering a switched leader dynamics. The switched leader dynamics is composed by multiple linear models and a switching rule governing the switches among them, which is capable of generating more diverse and sophisticated reference signals so as to enhance the multi-agent system\u27s capability in coping with more complicated coordination tasks. A novel distributed switching control scheme, namely, the smooth switching control strategy, is proposed to achieve cooperative output regulation performance. Distributed switching stability of the overall network is established using multiple Lyapunov functions from the switching control theory. Moreover, under the proposed design framework, the overall cooperative switching output regulation problem can be decomposed into several independent switching stabilization subproblems, and the associated switching control synthesis conditions for each subproblems are formulated as a set of linear matrix inequalities (LMIs) plus linear algebraic equations. As a result, stabilizing switching rules for the leader and distributed switching protocols for the follower agents can be jointly synthesized via semi-definite programming. A numerical example has been used to demonstrate the effectiveness of the proposed approach