Georgia College & State University

About: Georgia College & State University is a education organization based out in Milledgeville, Georgia, United States. It is known for research contribution in the topics: Population & Higher education. The organization has 950 authors who have published 1591 publications receiving 37027 citations.

Asteroseismic constraints on diffusion in white dwarf envelopes

Abstract: The asteroseismic analysis of white dwarfs allows us to peer below their photospheres and determine their internal structure. At ∼28 000 K EC20058−5234 is the hottest known pulsating helium atmosphere white dwarf. As such, it constitutes an important link in the evolution of white dwarfs down the cooling track. It is also astrophysically interesting because it is at a temperature where white dwarfs are expected to cool mainly through the emission of plasmon neutrinos. In the present work, we perform an asteroseismic analysis of EC20058−5234 and place the results in the context of stellar evolution and time-dependent diffusion calculations. We use a parallel genetic algorithm complemented with targeted grid searches to find the models that fit the observed periods best. Comparing our results with similar modelling of EC20058−5234’s cooler cousin CBS114, we find a helium envelope thickness consistent with time-dependent diffusion calculations and obtain a precise mode identification for EC20058−5234.

Logistic Optimization for Multi Depots Loading Capacitated Electric Vehicle Routing Problem From Low Carbon Perspective

Abstract: In this paper, a multi depots capacitated electric vehicle routing problem where client demand is composed of two-dimensional weighted items (2L-MDEVRP) is addressed. This problem calls for the minimization of the transportation distance required for the delivery of the items which are demanded by the clients, carried out by a fleet of electric vehicles in several depots. Since the 2L-MDEVRP is an NP-hard problem, a heuristic algorithm combined variable neighborhood search algorithm (VNS) and space saving heuristic algorithm (SSH) is proposed. The VNS algorithm is used to solve the vehicle routing problem (VRP) sub-problem, and the SSH algorithm is used to solve the bin packing problem (BPP) sub-problem. We propose the space saving heuristic to find the best matching solution between the next loading item and the feasible loading position. The SSH-VNS algorithm is tested by using benchmark instances available from the literature. The results show that the SSH-VNS algorithm has better performance compared with other published results for solving capacity vehicle routing problem (CVRP) and two-dimensional capacity vehicle routing problem (2L-CVRP). Some new best-known solutions of the benchmark problem are also found by SSH-VNS. Moreover, the effectiveness of the proposed algorithm on 2L-MDEVRP is demonstrated through numerical experiments and a practical logistic distribution case. In the last section, the managerial implications and suggestions for future research are also discussed.

Exploring Open Educational Resources for College Algebra.

Abstract: It is estimated that the average student spends around 1200 USD on books and supplies every school year; thus, textbook affordability has become more and more of a challenge for students. Replacing traditionally expensive learning resources with open educational resources (OER) can have a great impact in the reduction of cost for post-secondary education and student learning. With these benefits as a backdrop, this article describes a case study in which one college instructor adopted OER for College Algebra, offered as a hybrid learning model. This paper discusses this experience with adopting such materials and their impact on student success.

On the Causality Between Export Growth and GDP Growth: An Empirical Re-investigation

Abstract: Although conventional wisdom suggests that export growth contributes positively to economic growth, empirical studies on the causal links between exports and output have provided little support for the export-led growth hypothesis. This paper re-examines the direction of causation by handling properly two important issues in causality tests: the characteristics of the data, and the choice of optimal lags. The results of this study show that in a sample of thirty-two economies, the export-led growth hypothesis is supported by seventeen economies and is strongly supported by nine economies.