Bird, Plant, and Herpetofaunal Associations in Cove Forests and Pine Plantations in Mississippi

I investigated plant and animal community characteristics on 14 forest stands in north central Mississippi. Study sites included 9 pine plantations, 3 streamside management zones, and 2 hardwood cove forests. I estimated relationships between faunal metrics and habitat characteristics. I measured vegetation characteristics within quadrant and nested plot designs to estimate understory, midstory, and overstory species composition and structure. I inventoried breeding birds using point count surveys and sampled herpetofauna diversity using area-constrained searches within belt transects during 2008 and 2009. I detected 39 species of birds in 2008, 43 species of birds in 2009, 11 species of amphibians, and 9 species of reptiles. Hardwood cove sites supported more deep forest-dwelling bird and salamander species; whereas, pine stands supported more grassland bird species. Species richness and abundance of birds was related to snag DBH. Species richness and abundance of herpetofauna was related to number of understory plant species

The Chosen

Two teenage Jewish boys meet as rivals in a baseball game and begin an unlikely friendship, navigating the opposite political and religious views of their fathers.https://griffinshare.fontbonne.edu/mst-programs/1011/thumbnail.jp

The CUNY-Shanghai Library Faculty Exchange Program: Participants Remember, Reflect, and Reshape

This chapter recounts the outcomes and experiences of six American librarians who participated in an international librarian exchange program that ran from spring 2010 through fall 2011. The exchange brought together the City University of New York (CUNY) and two universities in Shanghai, China: Shanghai University (SU) and Shanghai Normal University (SNU). The program was inspired, in part, by recognition of the diversity of CUNY’s student body and growing awareness of the increasing globalization of information and education. For the Chinese librarians, the exchange offered an opportunity to learn from the West and showcase their own innovations. The traveling participants – eight librarians from six of the CUNY colleges and six librarians from SU and SNU – benefited from individual opportunities for learning and the collective development of new visions for academic library services

Developing Sustainable International Library Exchange Programs: The CUNY-Shanghai Library Faculty Exchange Model

This article describes the City University of New York ( CUNY)-Shanghai Librarian Faculty Exchange Program. By observing and working in academic library services at CUNY, Shanghai University (SU), and Shanghai Normal University (SNU), participants were able to teach and learn from their colleagues, bringing their experiences back to further share with their home library patrons, colleagues, and colleges

Beliefs about the Minds of Others Influence How We Process Sensory Information

Attending where others gaze is one of the most fundamental mechanisms of social cognition. The present study is the first to examine the impact of the attribution of mind to others on gaze-guided attentional orienting and its ERP correlates. Using a paradigm in which attention was guided to a location by the gaze of a centrally presented face, we manipulated participants' beliefs about the gazer: gaze behavior was believed to result either from operations of a mind or from a machine. In Experiment 1, beliefs were manipulated by cue identity (human or robot), while in Experiment 2, cue identity (robot) remained identical across conditions and beliefs were manipulated solely via instruction, which was irrelevant to the task. ERP results and behavior showed that participants' attention was guided by gaze only when gaze was believed to be controlled by a human. Specifically, the P1 was more enhanced for validly, relative to invalidly, cued targets only when participants believed the gaze behavior was the result of a mind, rather than of a machine. This shows that sensory gain control can be influenced by higher-order (task-irrelevant) beliefs about the observed scene. We propose a new interdisciplinary model of social attention, which integrates ideas from cognitive and social neuroscience, as well as philosophy in order to provide a framework for understanding a crucial aspect of how humans' beliefs about the observed scene influence sensory processing

Monetary and fiscal policies for a finite planet

Current macroeconomic policy promotes continuous economic growth. Unemployment, poverty and debt are associated with insufficient growth. Economic activity depends upon the transformation of natural materials, ultimately returning to the environment as waste. Current levels of economic throughput exceed the planet\u27s carrying capacity. As a result of poorly constructed economic institutions, society faces the unacceptable choice between ecological catastrophe and human misery. A transition to a steady-state economy is required, characterized by a rate of throughput compatible with planetary boundaries. This paper contributes to the development of a steady-state economy by addressing US monetary and fiscal policies. A steady-state monetary policy would support counter-cyclical, debt-free vertical money creation through the public sector, in ways that contribute to sustainable well-being. The implication for a steady-state fiscal policy is that any lending or spending requires a careful balance of recovery of money, not as a means of revenue, but as an economic imperative to meet monetary policy goals. A steady-state fiscal policy would prioritize targeted public goods investments, taxation of ecological bads and economic rent and implementation of progressive tax structures. Institutional innovations are considered, including common asset trusts, to regulate throughput, and a public monetary trust, to strictly regulate money supply

The United States COVID-19 Forecast Hub dataset

Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, the United States Centers for Disease Control and Prevention (CDC) partnered with an academic research lab at the University of Massachusetts Amherst to create the US COVID-19 Forecast Hub. Launched in April 2020, the Forecast Hub is a dataset with point and probabilistic forecasts of incident cases, incident hospitalizations, incident deaths, and cumulative deaths due to COVID-19 at county, state, and national, levels in the United States. Included forecasts represent a variety of modeling approaches, data sources, and assumptions regarding the spread of COVID-19. The goal of this dataset is to establish a standardized and comparable set of short-term forecasts from modeling teams. These data can be used to develop ensemble models, communicate forecasts to the public, create visualizations, compare models, and inform policies regarding COVID-19 mitigation. These open-source data are available via download from GitHub, through an online API, and through R packages

Modern Industrial Economics and Competition Policy: Open Problems and Possible Limits

Naturally, competition policy is based on competition economics made applicable in terms of law and its enforcement. Within the different branches of competition economics, modern industrial economics, or more precisely gametheoretic oligopoly theory, has become the dominating paradigm both in the U.S. (since the 1990s Post-Chicago movement) and in the EU (so-called more economic approach in the 2000s). This contribution reviews the state of the art in antitrust-oriented modern industrial economics and, in particular, critically discusses open questions and possible limits of basing antitrust on modern industrial economics. In doing so, it provides some hints how to escape current enforcement problems in industrial economics-based competition policy on both sides of the Atlantic. In particular, the paper advocates a change of the way modern industrial economics is used in competition policy: instead of more and more case-by-cases analyses, the insights from modern industrial economics should be used to design better competition rules