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Institution

Rider University

EducationLawrenceville, New Jersey, United States
About: Rider University is a education organization based out in Lawrenceville, New Jersey, United States. It is known for research contribution in the topics: Dosimetry & Creativity. The organization has 881 authors who have published 1934 publications receiving 50752 citations.


Papers
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Journal ArticleDOI
TL;DR: It is shown that XID mice do have B‐1 cells, particularly the B‐ 1b subset, and with increasing age, B­1b cell number increased and in the oldest X ID mice were present as B‐cell chronic lymphocytic leukaemia.
Abstract: The B lymphocyte subsets of X-chromosome-linked immune-deficient (XID) mice were examined by flow cytometric analyses of spleen and peritoneal cells. As shown in prior studies, young adult XID mice had reduced representation of the CD5 + (B-la) subset in their peritoneal cavity. However, the CD1 1b + (B-lb) B-cell subset was present and exhibited the IgM h i CD45 l o CD23 phenotype characteristic of most B- cells. Although present at a lower frequency than that found in their normal counterparts, B-1b cells were evident in CBA/N and (XD2J)F 1 male mice. With increasing age, B-1b cell number increased and in the oldest XID mice were present as B-cell chronic lymphocytic leukaemia. These results show that XID mice do have B-1 cells, particularly the B-1b subset.

20 citations

Journal ArticleDOI
Zhihong Gao1
TL;DR: In this paper, a framework for systematically investigating international advertising regulation is proposed to provide an in-depth understanding of the Chinese advertising regulation system and to examine how various global and local forces interact and negotiate the landscape of advertising regulation.
Abstract: Purpose – This paper seeks to propose a framework for systematically investigating international advertising regulation; to provide an in‐depth understanding of the Chinese advertising regulation system; and to use China as a case study to examine how various global and local forces interact and negotiate the landscape of international advertising regulationDesign/methodology/approach – The paper employs historical analysis; and textual analysis to achieve its purposeFindings – Chinese advertising regulation relies largely on government regulation, and self‐regulation plays a much subdued and marginal role The Chinese regulator aims to control the negative effects of advertising through rigorous regulation as well as certification and censorship programs, but its various advertising laws and regulations are invariably phrased in vague and general terms, so that enforcement and compliance become a major issue The lack of autonomous trade and consumer organizations combined with minimal public participa

20 citations

Journal ArticleDOI
TL;DR: The development and use of a “Virtual Office Hours” (VOH) platform is reported on to enhance opportunities to engage students in their learning beyond the classroom environment to leverage technology for student skill building.

20 citations

Journal ArticleDOI
TL;DR: This work proposes a profit maximization model for the decision support system of a firm that wishes to establish or rationalize a multinational manufacturing and distribution network to produce and deliver finished goods from sources to consumers.

20 citations

Journal ArticleDOI
TL;DR: A best and worst case analysis of convergence rates for a deterministic global optimization algorithm are presented and superlinear convergence is proved for Lipschitz functions which are convex in the direction of the global maximum.
Abstract: This paper presents a best and worst case analysis of convergence rates for a deterministic global optimization algorithm. Superlinear convergence is proved for Lipschitz functions which are convex in the direction of the global maximum (concave in the direction of the global minimum). Computer results are given, which confirm the theoretical convergence rates.

20 citations


Authors

Showing all 892 results

NameH-indexPapersCitations
James Chih-Hsin Yang12760690323
Feng Chen95213853881
Vijay Mahajan7518824381
John J. Bochanski6816639951
Victor H. Denenberg5625311517
David G. Kirsch5628413992
Greg G. Qiao5534411701
Robert Kaestner512828399
John Baer451246649
Geoffrey S. Ibbott452908663
David S Followill432717881
Mark Oldham412156107
Michael Gillin391474671
Shiva K. Das371825588
Hope Corman341333882
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202214
202162
202059
201962
201864