University of Memphis

About: University of Memphis is a education organization based out in Memphis, Tennessee, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 7710 authors who have published 20082 publications receiving 611618 citations. The organization is also known as: U of M.

The Utility of the Ces-D as a Depression Screening Measure among Low-Income Women Attending Primary Care Clinics

Abstract: Objective:Depressive disorders are among the most common medical disorders seen in primary care practice. The Center for Epidemiologic Studies-Depression (CES-D) scale is one of the measures commonly suggested for detecting depression in these clinics. However, to our knowledge, there have been no previous studies examining the validity of the CES-D among low-income women attending primary care clinics.Method:Low-income women attending public primary care clinics (n = 179, ages 20–77) completed the CES-D and the Diagnostic Interview Schedule for the DSM-IV (DIS-IV).Results:The results supported the validity of the CES-D. The standard cut-score of 16 and above yielded a sensitivity of .95 and specificity of .70 in predicting Major Depressive Disorder (MDD). However, over two-thirds of those who screened positive did not meet criteria for MDD (positive predictive value = .28). The standard cut-score appears valid, but inefficient for depression screening in this population. An elevated cut-score of 34 yield...

The Potential of Additive Manufacturing in the Smart Factory Industrial 4.0: A Review

Abstract: Additive manufacturing (AM) or three-dimensional (3D) printing has introduced a novel production method in design, manufacturing, and distribution to end-users. This technology has provided great freedom in design for creating complex components, highly customizable products, and efficient waste minimization. The last industrial revolution, namely industry 4.0, employs the integration of smart manufacturing systems and developed information technologies. Accordingly, AM plays a principal role in industry 4.0 thanks to numerous benefits, such as time and material saving, rapid prototyping, high efficiency, and decentralized production methods. This review paper is to organize a comprehensive study on AM technology and present the latest achievements and industrial applications. Besides that, this paper investigates the sustainability dimensions of the AM process and the added values in economic, social, and environment sections. Finally, the paper concludes by pointing out the future trend of AM in technology, applications, and materials aspects that have the potential to come up with new ideas for the future of AM explorations.

Some Inequalities for the Largest Eigenvalue of a Graph

Abstract: Let λ(G) be the largest eigenvalue of the adjacency matrix of a graph G: We show that if G is Kp+1-free then ***** insert CODING here *****This inequality was first conjectured by Edwards and Elphick in 1983 and supersedes a series of previous results on upper bounds of λ(G).Let Ti denote the number of all i-cliques of G, λ = λ(G) and p = cl(G): We show ***** insert equation here *****Let δ be the minimal degree of G. We show ***** insert equation here *****This inequality supersedes inequalities of Stanley and Hong. It is sharp for regular graphs and for a class of graphs which are in some sense maximally irregular.

Euclidean spanners: short, thin, and lanky

Abstract: Euclidean spanners are important data structures in geometric algorithm design, because they provide a means of approximating the complete Euclidean graph with only O(n) edges, so that the shortest path length between each pair of points is not more than a constant factor longer than the Euclidean distance between the points. In many applications of spanners, it is important that the spanner possess a number of additional properties: low tot al edge weight, bounded degree, and low diameter. Existing research on spanners has considered one property or the other. We show that it is possible to build spanners in optimal O (n log n) time and O(n) space that achieve optimal or near optimal tradeoffs between all combinations of these *Max-Planck-Institut fiir Informatik, D-66123 Saarbrucken, Germany. Email: {arya, michiel}@mpi-sb. mpg. de. Supported by the ESPRIT Basic Research Actions Program, under contract No. 7141 (project ALCOM 11). t Math Sciences Dept., The University of Memphis, Memphis, TN 38152. Supported in part by NSF Grant CCR9306822. E-mail: dasg@next 1.msci .memst . edu. i Department of Computer Science and Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland. Partially supported by NSF Grant CCR-93107O5. This work was done while visiting the Max-Planck-Institut fiir Informatik, Saarbriicken. E-mail: mount @cs. umd. edu. SQue~Tech, IIIC., 7600A Leesburg Pike, Falls Church, VA 22043. This work was done while visiting the Max-Planck-Institut fiir Informatik, Saarbriicken. E-mail: jsalowet!nvl, army .mil. Permission to copy without fee all or part of thk material is granted provided that the copies are not made or distributed for direct commercial advantage, the ACM copyri ht notice and the title of thq publication and, is date appear, a#notice is given that copyt~isby~n,sslon of the Ass@ationof Computing Machinery. o cop otherwise, or to republish, requires a fee ancf/or speci ic permission. STOC’ 95, Las Vegas, Nevada, USA @ 1995 ACM 0-89791 -718-9/95/0005..$3.50 properties. We achieve these results in large part because of a new structure, called the dumbbell tree which provides a method of decomposing a spanner into a constant number of trees, so that each of the O(n2) spanner paths is mapped entirely to a path in one of these trees.

Deep-Level Comprehension of Science Texts: The Role of the Reader and the Text.

Abstract: Many students from elementary school through college encounter difficulty understanding their science textbooks, regardless of whether they have language disorders. This article discusses some of the particular difficulties associated with science text comprehension and possible remedies for facilitating and enhancing comprehension of challenging expository text materials. Specifically, we focus on the difficulties associated with generating inferences needed to comprehend science texts. The successful generation of inferences is affected by factors such as students' prior knowledge and reading strategies, and the manner in which science texts are written. Many students lack the necessary prior knowledge and reading strategies to generate inferences and thus comprehend science texts only poorly. Further, science texts are typically "low-cohesion" texts, which means that they require readers to generate many inferences and fill in conceptual gaps. Remedies for overcoming comprehension difficulties include matching texts to students' knowledge level and providing explicit instruction aimed at teaching students to use reading comprehension strategies for comprehension monitoring, paraphrasing, and elaborations. The computer-supported tool iSTART (Interactive Strategy Training for Active Reading and Thinking) is introduced as a technological support to assist students and teachers in the teaching/learning enterprise.