Thomas M. Randolph to James Brown, November 12, 1796

Thomas M. Randolph in Milton, VA wrote to James Brown, unaddressed. Randolph drew on Brown for $46.72 for the Sherriff of Albemarle County. He looked to make another draft on Mr. Brown for payments to John Watson and Dr. [Currie]. People included: Mr. [Inliafino], John Watson, Dr. Currie, Snelson. Places: Albemarle.https://digitalcommons.kean.edu/lhc_1790s/1459/thumbnail.jp

Thomas M. Randolf to James Brown, August 19, 1794

Thomas M. Randolph at Monticello, VA wrote to James Brown, unaddressed. Randolph received a bill larger than he hoped because the accommodation costs during a trip exceeded expectations. People included: Mr. Burton. Places included: Richmond, New York.https://digitalcommons.kean.edu/lhc_1790s/1445/thumbnail.jp

Thomas M. Randolph to James Brown, June 21, 1797

Thomas M. Randolph wrote to James Brown. The letter is a short personal correspondence talking about various topics such as his health and the latest harvest. Contents are very difficult to decipher.https://digitalcommons.kean.edu/lhc_1790s/1491/thumbnail.jp

Thomas M. Randolph to James Brown, June 17, 1796

Thomas M. Randolph in Monticello, Charlottesville, VA wrote to James Brown, unaddressed. This letter detailed a sale of wheat and clarified a previous letter. People included: Snelson, Nicholson.https://digitalcommons.kean.edu/lhc_1790s/1456/thumbnail.jp

Using Behavior Skills Training and Virtual Simulations to Train Preservice Practitioners in Behavior Management: An Exploratory Comparison Study

This study investigated the efficacy of two distinct virtual training platforms, TeachLivE™ and Zoom with actors, in preparing preservice practitioners for behavior management in real-world settings. This exploratory study aimed to investigate individual participant skill acquisition and assess which platform better equipped participants with the necessary skills and strategies. This study employed Behavior Skills Training as the foundational pedagogical framework, utilizing structured training and feedback to foster skill acquisition and retention. The two groups, one using TeachLivE™ and the other Zoom with actors, received identical training modules and practice scenarios. After the training, participants were assessed on their ability to apply behavior management strategies in simulated scenarios closely mirroring authentic classroom settings. Results from the study revealed an observable difference in the percent correct performance between the two groups. The TeachLivE™ group exhibited a higher level of success in applying behavior management strategies compared to the Zoom with actors group. This outcome suggests that the immersive nature of TeachLivE™, with its lifelike avatars and interactive virtual classrooms, provided a more effective training environment for preservice practitioners in behavior management

Finding strategies that work in developing countries: A one-size-fits-all solution won’t work

National decisions about how to control bird flu are critical to global as well as national success. The best ways to fight bird flu in industrialized countries are often not the best for developing nations. This article describes the strategy of the Consultative Group on International Agricultural Research (CGIAR) and its partners to improve control of the disease in developing countries, and thus to help protect both human health and development around the world

Analyses of the poultry value chain and its linkages and interactions with HPAI risk factors in Nigeria

Highly pathogenic avian influenza (HPAI) has impacts that reverberate throughout the poultry marketing chain. Nigeria suffered waves of HPAI outbreaks that peaked twice in February 2006 and February 2007. The outbreaks affected 3,057 commercial and rural household farms causing 1.3 million of the country’s 160 million poultry to be destroyed at the cost of United States Dollars (USD) 5.4 m paid in compensation by the Government of Nigeria (Federal Department of Livestock [FDL], 2008). However, some impacts of HPAI are often overlooked in policy circles, with policymakers focusing mainly on the upstream impacts at the producer level. The cumulative downstream impacts of HPAI on traders, slaughterhouses, retailers, casual employment, and support services can often dwarf the impacts of the disease at the farm level. More significantly, the failure to capture these diverse impacts may have important implications on the evolution and control of disease that may accentuate its impact. In particular, socio-economic linkages embedded in livestock value chains may serve as important risk factors for the entry, spread, and persistence of disease. Thus, an understanding of these linkages is critical to inform policy and understand the broader livelihood impacts of disease