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Using Occupancy Modeling for Protocol Development and Habitat Assessment of Necturus maculosus in a Large Nagivational River
Get PDFDetermining the survey effort required to reliably detect population change can be challenging for cryptic, elusive species. The secretive nature of amphibians makes it difficult to monitor population status and gather information about their natural history, including habitat use, which is essential for amphibian monitoring programs. The goals of this study were to examine if detection probabilities were affected by bait (i.e., light and food), breeding activity, and environmental covariates in a population of fully aquatic salamanders, Necturus maculosus. I evaluated the effectiveness of three bait treatments (light bait, food bait, combined light and food bait) and an unbaited control. I expected detection probabilities would be affected by changes in breeding behavior and nest attendance associated with breeding phenology. As predicted, I detected heterogeneities in detection probability that were congruous with the breeding season and the timing of surveys. Variability in water temperature was a limiting factor in mudpuppy detection. Highly water temperatures negatively affected detection probabilities (β = -4.56 ± 1.2). Bait influenced mudpuppy detection probability, with baited traps yielding higher detection estimates than light and unbaited traps. Clearly, investing sampling effort early in the season, before females nest and when water temperatures are cooler, is an efficient way to improve the accuracy of parameter estimates in this species. Our findings stress the importance of establishing study designs that take into account the population and behavioral ecology of the focal species
Green User Guide
No full textThe User Guide for the Library of Appalachian Preaching is a Google Sheet that can be searched, sorted, and downloaded for offline use.
This part of the Guide provides information about Green\u27s sermons and other discourses. It includes the title, scripture text, date and place the address was delivered (if known), and so on. This information is available in the master list of sermons as well.https://mds.marshall.edu/green_lewiswarner/1003/thumbnail.jp
A Predictive Model to Predict Cyberattack Using Self-Normalizing Neural Networks
Get PDFCyberattack is a never-ending war that has greatly threatened secured information systems. The development of automated and intelligent systems provides more computing power to hackers to steal information, destroy data or system resources, and has raised global security issues. Statistical and Data mining tools have received continuous research and improvements. These tools have been adopted to create sophisticated intrusion detection systems that help information systems mitigate and defend against cyberattacks. However, the advancement in technology and accessibility of information makes more identifiable elements that can be used to gain unauthorized access to systems and resources. Data mining and classification tools such as K-Nearest Neighbors, Support vector machines, and Decision trees, among others, have been improved over time and used to build models for intrusion detection systems. This enables information systems, internet-connected devices, or devices running on a computer network to gain immunity against cyberattacks. However, these classification models hit some limitations as the sample size of data increases. Neural networks is an artificial intelligence tool that has been in active research over recent years. It has proven to handle big data and understand complex relationships better than the previous classification methods. Recent studies have demonstrated to build better models by showing better accuracy for intrusion detection systems using neural networks. In this thesis, we use a class of neural networks known as Self-Normalizing Neural Networks, which implements a scaled exponential linear unit activation function (SELU) developed by Klambauer et al. [12], to build a predictive model to detect cyberattacks against normal network traffic or connections using classification, in the KDD CUP 99 dataset from the Third International Knowledge Discovery and Data Mining Tools Competition, that was held in 1999. The accuracy and precision of the self-normalizing neural networks is compared with that of the k-nearest neighbors and support vector machines. The self-normalizing neural network appears to perform better. It is an excellent classifier for denial-of-service attacks, probe attacks, and user-to-root attacks while efficiently predicting normal connection. The result in this thesis is also compared with existing literature which appears to perform better
Bruce User Guide
No full textThe User Guide for the Library of Appalachian Preaching is a Google Sheet that can be searched, sorted, and downloaded for offline use.
This part of the Guide provides information about Bruce’s sermons and other discourses. It includes the title, scripture text, date and place the address was delivered (if known), and so on. This information is available in the master list of sermons as well.https://mds.marshall.edu/bruce_robert/1003/thumbnail.jp
20150616: President\u27s Papers, 1949-2016
Get PDFThese items include materials from the office of the President at Marshall University from 1949-2016. Items were received in 2016 and include notable materials including materials with or about President Hayes, President Gilbert, President Jones, President Nitzschke, and President Angel. Please download the inventory for a complete list of the contents
Conceptions of Flight
Get PDFConceptions of Flight is a thematic invitational group exhibition. The artwork exhibited here reveals a diverse and individual engagement with the theme. Some of the featured artists interpret flight as a rising up; a moving forward; a breaking free from struggle. Others have captured the thrill and wonder of travel; of the movement of clouds; of building new wings, mythopoetically. Whatever the interpretation, Conceptions of Flight provides an arresting look at the ways this age-old preoccupation continues to move the imagination and stretch the limits of our reach.https://mds.marshall.edu/artdesign_student/1000/thumbnail.jp
Transatlantic Sermonizing: The Influence of Changing Sermon Styles in England on Anglican Clergy in Colonial Philadelphia
No full textDuring the eighteenth century, a transformation took place in the style of Anglican sermons in England. Like much of British culture, this preaching style crossed the Atlantic and inspired clergy in the colonies to alter the character of their sermons. One can observe this influence particularly in Philadelphia. While the changes in style among the Philadelphia clergy probably had nothing to do with politics, the changes in England certainly did.
Tory churchmen dominated the Church of England in the seventeenth century. Their sermons provided a detailed expositions of the text or focused on the sinfulness of the congregation with dire warnings about future punishments. A new style of homiletics became popular in the eighteenth with the accession of George I and the triumph of the Whigs. The new king’s rancor towards the Tories forced them from power, replaced by loyal Whigs. The Whig approach suited an increasingly metropolitan environment. The new urbanites concerned themselves about civic decorum and good manners, about interaction with others in polite society. The Whig churchmen had similar concerns. Improvement of manners and breeding became tantamount to being a good Christian. Attraction, not coercion, became necessary to draw people into the churches following the Toleration Act.
Sermons preached in London were read by clergy outside of London and crossed the Atlantic. Philadelphia had become the center of book trade. The Anglican preachers who held forth from the pulpit of Christ Church or St. Peter’s were clearly familiar with the sermons of eminent London peers
