Nestorone nanosuspension-loaded dissolving microneedles array patch: A promising novel approach for “on-demand” hormonal female-controlled peritcoital contraception

Author(s):  
Ebru Altuntaş ◽  
Ismaiel A. Tekko ◽  
Lalitkumar K. Vora ◽  
Narender Kumar ◽  
Rebecca Brodsky ◽  
...  
Author(s):  
Paul Müller ◽  
Dennis Schwerdel

AbstractAlthough testbeds and experimental facilities are accepted as tools for research in the scope of distributed systems research, such as Future Internet Research, they lack sustainability; once established as a project, they must be maintained and renewed every few years. However, unfortunately, due to an absence of long-term funding for operating/maintenance and reinvestment, a lot of these are terminated just after the project is complete.In this paper, we describe a software-defined testbed on demand; this is based on the Topology Management Tool (ToMaTo), a software environment which was developed within the G-Lab project. ToMaTo, initially designed to run on the G-Lab infrastructure, is now independent of the underlying infrastructure and can be deployed on any Cloud infrastructure on demand. We describe here the deployment of ToMaTo to the CloudLab infrastructure offered by the NSF-funded CloudLab project.This approach offers a new method for sustainable testbeds where neither upfront investment nor the recurring and operating/maintenance costs for the infrastructure will burden the budgets of the projects.


Author(s):  
Yan Xu ◽  
Ge Li ◽  
Lili Mou ◽  
Yangyang Lu

Learning non-taxonomic relations becomes an important research topic in ontology extension. Most of the existing learning approaches are mainly based on expert crafted corpora. These approaches are normally domain-specific and the corpora acquisition is laborious and costly. On the other hand, based on the static corpora, it is not able to meet personalized needs of semantic relations discovery for various taxonomies. In this paper, we propose a novel approach for learning non-taxonomic relations on demand. For any supplied taxonomy, it can focus on the segment of the taxonomy and collect information dynamically about the taxonomic concepts by using Wikipedia as a learning source. Based on the newly generated corpus, non-taxonomic relations are acquired through three steps: a) semantic relatedness detection; b) relations extraction between concepts; and c) relations generalization within a hierarchy. The proposed approach is evaluated on three different predefined taxonomies and the experimental results show that it is effective in capturing non-taxonomic relations as needed and has good potential for the ontology extension on demand.


2020 ◽  
Vol 56 (23) ◽  
pp. 3365-3368 ◽  
Author(s):  
Kota Murakami ◽  
Yuta Tanaka ◽  
Ryuya Sakai ◽  
Yudai Hisai ◽  
Sasuga Hayashi ◽  
...  

Low-temperature heterogeneous catalytic reaction in an electric field is anticipated as a novel approach for on-demand and small-scale catalytic processes.


2019 ◽  
Vol 7 (5) ◽  
pp. 1815-1824 ◽  
Author(s):  
Bing Liang ◽  
Kexiao Yu ◽  
Yi Ling ◽  
Micheal Kolios ◽  
Agata Exner ◽  
...  

We report a novel approach to transform a tumor into a “bio-magnet”, to be magnetized on demand, in order to create an intrinsic tumor magnetic field, able to collect magnetic nanoparticles circulating in the blood and achieve simultaneous magnetic hyperthermia.


2015 ◽  
Vol 62 (1) ◽  
pp. 59-64
Author(s):  
Rezvi Shahariar ◽  
Shahed Anwar

Existing local route repair schemes such as localized route repair (LRR), ad hoc on-demand distance vector-backup routing (AODV-BR), and witness-aided routing (WAR) can be incorporated with reactive routing protocols to repair route breakages on ongoing routes. All of these schemes have some problems in local route repairing such as long delay, excessive energy consumption etc. To mitigate these problems in existing local route repair schemes, quick local repair scheme using adaptive promiscuous mode (QLRS-APM) is proposed. QLRS-APM is a novel approach in local route repairing but sometimes generates unnecessarily route error to the source. This paper provides a solution by giving an extension on QLRS-APM to avoid initiating route error messages to the source and also at the same time reducing excessive energy consumption from the network. DOI: http://dx.doi.org/10.3329/dujs.v62i1.21963 Dhaka Univ. J. Sci. 62(1): 59-64, 2014 (January)


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