From DC-Nets to pMIXes: Multiple Variants for Anonymous Communications

2006 ◽  
Author(s):  
Yves Deswarte Carlos Aguilar Melchor
Keyword(s):  
Anonymous Communications ◽  
Multiple Variants

Hybrid Model using Firefly and BBO for Feature Selection in Software Product Line

2020 ◽  
Vol 13 ◽  
Author(s):  
Hitesh Yadav ◽  
Rita Chhikara ◽  
Charan Kumari
Keyword(s):  
Hybrid Model ◽  
High Performance ◽  
Software Product Line ◽  
Product Line ◽  
Feature Model ◽  
Software Systems ◽  
Feature Sets ◽  
Research Article ◽  
Software Product ◽  
Multiple Variants

Background: Software Product Line is the group of multiple software systems which share the similar set of features with multiple variants. Feature model is used to capture and organize features used in different multiple organization. Objective: The objective of this research article is to obtain an optimized subset of features which are capable of providing high performance. Methods: In order to achieve the desired objective, two methods have been proposed. a) An improved objective function which is used to compute the contribution of each feature with weight based methodology. b) A hybrid model is employed to optimize the Software Product Line problem. Results: Feature sets varying in size from 100 to 1000 have been used to compute the performance of the Software Product Line. Conclusion: The results shows that proposed hybrid model outperforms the state of art metaheuristic algorithms.

scholarly journals Isolation and characterization of multiple variants of recombinant human interleukin 4 expressed in mammalian cells.

1988 ◽  
Vol 263 (22) ◽  
pp. 10817-10823
Author(s):  
H V Le ◽  
L Ramanathan ◽  
J E Labdon ◽  
C A Mays-Ichinco ◽  
R Syto ◽  
...  
Keyword(s):  
Mammalian Cells ◽  
Interleukin 4 ◽  
Isolation And Characterization ◽  
Multiple Variants

scholarly journals Dynamic Windows Scheduling with Reallocation

2021 ◽  
Vol 26 ◽  
pp. 1-19
Author(s):  
Martín Farach-Colton ◽  
Katia Leal ◽  
Miguel A. Mosteiro ◽  
Christopher Thraves Caro
Keyword(s):  
Supply Chain ◽  
Bin Packing ◽  
Time Slot ◽  
Peak Load ◽  
Communication Channels ◽  
Current Load ◽  
Constant Amount ◽  
Unit Fractions ◽  
Consecutive Time ◽  
Multiple Variants

We consider the Windows Scheduling (WS) problem, which is a restricted version of Unit-Fractions Bin Packing, and it is also called Inventory Replenishment in the context of Supply Chain. In brief, WS problem is to schedule the use of communication channels to clients. Each client c i is characterized by an active cycle and a window w i . During the period of time that any given client c i is active, there must be at least one transmission from c i scheduled in any w i consecutive time slots, but at most one transmission can be carried out in each channel per time slot. The goal is to minimize the number of channels used. We extend previous online models, where decisions are permanent, assuming that clients may be reallocated at some cost. We assume that such cost is a constant amount paid per reallocation. That is, we aim to minimize also the number of reallocations. We present three online reallocation algorithms for Windows Scheduling. We evaluate experimentally multiple variants of these protocols showing that, in practice, all three achieve constant amortized reallocations with close to optimal channel usage. Our simulations also expose interesting tradeoffs between reallocations and channel usage. We introduce a new objective function for WS with reallocations that can be also applied to models where reallocations are not possible. We analyze this metric for one of the algorithms that, to the best of our knowledge, is the first online WS protocol with theoretical guarantees that applies to scenarios where clients may leave and the analysis is against current load rather than peak load. Using previous results, we also observe bounds on channel usage for one of the algorithms.

scholarly journals COVID-19 Pathogenesis: From Molecular Pathway to Vaccine Administration

Biomedicines ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 903
Author(s):  
Francesco Nappi ◽  
Adelaide Iervolino ◽  
Sanjeet Singh Avtaar Singh
Keyword(s):  
Hospital Setting ◽  
Pathophysiological Mechanism ◽  
Systemic Response ◽  
Respiratory Complications ◽  
Thrombotic Risk ◽  
Global Pandemic ◽  
The Impact ◽  
Multiple Variants ◽  
Roll Out

The Coronavirus 2 (SARS-CoV-2) infection is a global pandemic that has affected millions of people worldwide. The advent of vaccines has permitted some restitution. Aside from the respiratory complications of the infection, there is also a thrombotic risk attributed to both the disease and the vaccine. There are no reliable data for the risk of thromboembolism in SARS-CoV-2 infection in patients managed out of the hospital setting. A literature review was performed to identify the pathophysiological mechanism of thrombosis from the SARS-CoV-2 infection including the role of Angiotensin-Converting Enzyme receptors. The impact of the vaccine and likely mechanisms of thrombosis following vaccination were also clarified. Finally, the utility of the vaccines available against the multiple variants is also highlighted. The systemic response to SARS-CoV-2 infection is still relatively poorly understood, but several risk factors have been identified. The roll-out of the vaccines worldwide has also allowed the lifting of lockdown measures and a reduction in the spread of the disease. The experience of the SARS-CoV-2 infection, however, has highlighted the crucial role of epidemiological research and the need for ongoing studies within this field.

Multiple variants of soluble CD146 are involved in Systemic Sclerosis: identification of a novel pro‐fibrotic factor

2022 ◽  
Author(s):  
Marie Nollet ◽  
Richard Bachelier ◽  
Ahmad Joshkon ◽  
Waël Traboulsi ◽  
Amandine Mahieux ◽  
...  
Keyword(s):  
Systemic Sclerosis ◽  
Multiple Variants ◽  
Soluble Cd146
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