Institution
Suffolk University
Education•Boston, Massachusetts, United States•
About: Suffolk University is a education organization based out in Boston, Massachusetts, United States. It is known for research contribution in the topics: Population & Sugar beet. The organization has 6462 authors who have published 9321 publications receiving 235328 citations.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this article, a single-product inventory system that serves multiple demand classes, which differ in their shortage costs or service-level requirements is considered, and a model for cost evaluation and optimization under the assumptions of Poisson demand, deterministic replenishment lead time and a continuous-review (Q, R) policy with rationing is developed.
Abstract: We consider a single-product inventory system that serves multiple demand classes, which differ in their shortage costs or service-level requirements. We assume a critical-level control policy, and a backorder clearing mechanism in which we treat a backorder for a lower-priority class equivalent to a reserve-stock shortfall for the higher-priority class. We show the equivalence between this inventory system and a serial inventory system. Based on this equivalence, we develop a model for cost evaluation and optimization under the assumptions of Poisson demand, deterministic replenishment lead time, and a continuous-review (Q, R) policy with rationing. We propose a computationally efficient heuristic and develop a bound on its performance. We provide a numerical experiment to show the effectiveness of the heuristic and the value from a rationing policy. Finally, we describe how to extend the model to permit service times, and how to extend the model to a multi-echelon setting.
131 citations
••
TL;DR: Results indicate that CPS produced significant improvements across multiple domains of functioning at posttreatment and at 4-month follow-up, and were in all instances equivalent, and in many instances superior, to the improvements produced by PT.
Abstract: Oppositional-defiant disorder (ODD) refers to a recurrent pattern of negativistic, defiant, disobedient, and hostile behavior toward authority figures. Research has shown that children with ODD and comorbid mood disorders may be at particular risk for long-term adverse outcomes, including conduct disorder. In this study, the authors examined the effectiveness of a cognitive–behavioral model of intervention—called collaborative problem solving (CPS)—in comparison with parent training (PT) in 47 affectively dysregulated children with ODD. Results indicate that CPS produced significant improvements across multiple domains of functioning at posttreatment and at 4-month follow-up. These improvements were in all instances equivalent, and in many instances superior, to the improvements produced by PT. Implications of these findings for further research on and treatment selection in children with ODD are discussed.
131 citations
••
TL;DR: What these standards have got to offer organisations, what benefits are to be gained and how these international standards are useful in helping to solve the insider threat problem are explored.
131 citations
••
TL;DR: Endoscopic surgery makes a valuable contribution to the management of synovial contamination and infection in non-Thoroughbred horses, including a group combining nonsurviving animals and those with reduced post operative performance.
Abstract: Summary
Reasons for performing study: Contamination and infection of synovial cavities are a common occurrence in clinical practice and, if inadequately treated, may have career or life threatening consequences for affected horses
Hypothesis: The objectives in treating contamination and infection of joints, tendon sheaths and bursae are most effectively met by endoscopic surgery
Methods: Over a 6 year period, cases of synovial contamination and infection admitted to a referral clinic were evaluated and treated endoscopically The horses received local and systemic antimicrobial drugs with minimal nonsteroidal anti-inflammatory medication but no other medical or surgical treatment All arthroscope and instrument portals and, when ever possible, all traumatic wounds were closed Diagnostic information, endoscopic observations and results of treatment were evaluated retrospectively
Results: A total of 140 affected animals were referred and 121 cases were treated endoscopically These involved 70 joints, 29 tendon sheaths, 10 bursae and in 12 cases a combination of synovial cavities The most common aetiologies were open wounds (n = 54) and self-sealing punctures (n = 41) Foreign material was identified endoscopically in 41 but predicted prior to surgery in only 6 cases Osteochondral lesions were evident at surgery in 51 and recognised before surgery in 25 cases; 32 horses had intrathecal tendon or ligament defects
Follow-up information was obtained for 118 animals; 106 (90%) survived and 96 (81%) returned to their preoperative level of performance The presence of osteitis/osteomyelitis, other osteochondral lesions and marked deposits of pannus were associated with nonsurvival For those animals which survived, non-Thoroughbred horses, a combination of synovial structure involvement and regional iv antimicrobial administration were associated with reduced post operative performance Marked pannus, regional iv antimicrobial administration and duration of systemic antimicrobial administration were associated with a group combining nonsurviving animals and those with reduced post operative performance
Conclusions: Endoscopic surgery makes a valuable contribution to the management of synovial contamination and infection
Potential relevance: The information obtained from and therapeutic options offered by endoscopy justify its early use in cases of synovial contamination and infection
131 citations
••
16 Oct 2009TL;DR: SJMR (Spatial Join with MapReduce), a novel parallel algorithm to relieve the problem of heterogeneous related data sets processing, which is common in operations like spatial joins is presented.
Abstract: MapReduce is a widely used parallel programming model and computing platform. With MapReduce, it is very easy to develop scalable parallel programs to process data-intensive applications on clusters of commodity machines. However, it does not directly support heterogeneous related data sets processing, which is common in operations like spatial joins. This paper presents SJMR (Spatial Join with MapReduce), a novel parallel algorithm to relieve the problem. The strategies include strip-based plane sweeping algorithm, tile-based spatial partitioning function and duplication avoidance technology. We evalauted the performance of SJMR algorithm in various situations with the real world data sets. It demonstrates the applicability of computing-intensive spatial applications with MapReduce on small scale clusters.
131 citations
Authors
Showing all 6484 results
Name | H-index | Papers | Citations |
---|---|---|---|
Peter Hall | 132 | 1640 | 85019 |
Michael R. Hamblin | 117 | 899 | 59533 |
Miao Liu | 111 | 993 | 59811 |
Rosalind W. Picard | 100 | 461 | 44750 |
Simon Jennings | 94 | 240 | 29030 |
John A. Clark | 94 | 440 | 62221 |
Christopher Hawkes | 93 | 423 | 41658 |
Melanie J. Davies | 89 | 814 | 36939 |
Andrew Smith | 87 | 1025 | 34127 |
Andrew Jones | 83 | 695 | 28290 |
Catherine E. Costello | 82 | 411 | 24811 |
Paul O'Brien | 79 | 808 | 28228 |
Rhys E. Green | 78 | 285 | 30428 |
Nicholas K. Dulvy | 72 | 193 | 22962 |
David L.H. Bennett | 69 | 322 | 17388 |