scholarly journals Decoding multivariate multiplicity codes on product sets

2021 ◽  
Author(s):  
Siddharth Bhandari ◽  
Prahladh Harsha ◽  
Mrinal Kumar ◽  
Madhu Sudan
Keyword(s):  
Product Sets

Keeping the Focus on Public Health: The Struggles of a Tobacco Prevention Task Force

2003 ◽  
Vol 30 (6) ◽  
pp. 771-788 ◽  
Author(s):  
Jacquie A. Shillis ◽  
Beverly A. Hall ◽  
Gail G. Sneden ◽  
Nell H. Gottlieb
Keyword(s):  
Public Health ◽  
Task Force ◽  
Tobacco Prevention ◽  
Policy Success ◽  
Public Health Officials ◽  
The Common ◽  
And Control ◽  
Future Program ◽  
Product Sets

This case study examines a nonlegislative task force as it struggled to reach internal consensus despite external-political constraints. The study highlights the convergence of politics and science, revealing complex issues likely to be confronted by advocates and public health officials. Three themes capture participants’experiences: context, sizing up the opportunities and constraints; task force process, tacit strategy to operate outside the political context and play the science card; and aftermath, a glass half full. The task force took advantage of ambiguous parameters, crafting a comprehensive statewide plan to reduce tobacco use and breaking out of the common public health paradigm of allowing budget considerations to drive program design. These internal victories could not sustain a policy success in the legislature. However, the group’s product sets science-based standards for future program development, and the task force’s process provides valuable insights into other states developing tobacco prevention and control policies.

scholarly journals Product sets cannot contain long arithmetic progressions

2014 ◽  
Vol 163 (4) ◽  
pp. 299-307 ◽  
Author(s):  
Dmitrii Zhelezov
Keyword(s):  
Arithmetic Progressions ◽  
Product Sets

Bacteriological Survey of Frozen Meat Ravioli Produced at Establishments Under Federal Inspection

1983 ◽  
Vol 46 (8) ◽  
pp. 710-713
Author(s):  
DOUGLAS F. CAMPBELL ◽  
MARTHA Y. WORKMAN ◽  
GEORGE W. KRUMM ◽  
RALPH W. JOHNSTON
Keyword(s):  
Escherichia Coli ◽  
Staphylococcus Aureus ◽  
Production Line ◽  
Microbiological Quality ◽  
Slow Freezing ◽  
Geometric Means ◽  
E Coli ◽  
Plate Counts ◽  
Product Sets

During visits to 20 federally inspected establishments producing meat ravioli, 577 production line samples and 480 finished product units were collected for bacteriological analyses. Four types of finished, packaged ravioli were encountered: (a) whole ravioli boiled at least 5 min; (b) raw pasta stuffed with a cooked filling; (c) only the meat component cooked; and (d) uncooked ravioli. The microbiological quality of frozen ravioli was affected more by the filling than the pasta. Slow freezing resulted in increased bacterial levels in the finished product. For the boiled ravioli, 100% of the finished product sets contained less than 50 coliforms per g, four of five sets had less than one Escherichia coli per g, and 100% had fewer than one Staphylococcus aureus per g. Four of five sets of packaged boiled ravioli had aerobic plate counts (APC) of less than 10,000 per g. For the raw pasta with a cooked filling-type ravioli, the geometric means of 9 sets were: coliforms, 47 per g; E. coli, 6.7 per g; S. aureus, 10 per g; and APC, 170,000 per g. For the ravioli with only the meat component cooked, the geometric means of 27 sets were: coliforms, 190 per g; E. coli, 1.8 per g; S. aureus, 3.9 per g; and APC, 300,000 per g. For uncooked ravioli, the geometric means of 7 sets were: coliforms, 490 per g; E. coli, 19 per g; S. aureus, 5.7 per g; and APC, 690,000 per g. Only one finished ravioli unit in 480 contained Salmonella.

scholarly journals A note on product sets of random sets

2019 ◽  
Vol 162 (1) ◽  
pp. 76-83
Author(s):  
C. Sanna
Keyword(s):  
Random Sets ◽  
Product Sets

The Evaluation Model of Product Satisfaction Based on Cloud Model

2011 ◽  
Vol 467-469 ◽  
pp. 1193-1199 ◽  
Author(s):  
Yu Lian Fei ◽  
Xin Hou ◽  
Er Tian Hua
Keyword(s):  
Cloud Model ◽  
Evaluation Model ◽  
Qualitative Evaluation ◽  
Three Dimensions ◽  
Scoring Method ◽  
Relational Analysis ◽  
Satisfaction Evaluation ◽  
Grey Relational ◽  
Product Sets

Traditional methods such as scoring method, Likert scale method, etc, suffer from uncertainness, randomness and inaccuracy. To solve these problems, a cloud model is presented in this paper. Based on fuzzy mathematics and statistics, the cloud model can convert the qualitative evaluation of the product to quantitative scores. It’s a better way to overcome the disadvantages of direct scoring method that cause more inaccuracies. A prouct satisfaction evaluation model with three dimensions (i.e., evaluation index, product sets and estimator) is then constructed, which combines the cloud model and the grey relational analysis. Finally, the effectivity of the presented model is demonstrated by a case study.

scholarly journals Covers of Product Sets and the Korec-Znám Result

1988 ◽  
Vol 9 (2) ◽  
pp. 131-138 ◽  
Author(s):  
Marc A. Berger ◽  
Alexander Felzenbaum ◽  
Aviezri S. Fraenkel
Keyword(s):  
Product Sets
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