scholarly journals A Survey of LoRaWAN Simulation Tools in ns-3

2021 ◽  
Vol 36 (1) ◽  
pp. 17-30
Author(s):  
Jéssika Silva ◽  
Daniel Flor ◽  
Vicente Junior ◽  
Nibia Bezerra ◽  
Alvaro Medeiros
Keyword(s):  
Simulation Tools

Simulation tools make new furnace technology

2006 ◽  
Vol 103 (2) ◽  
pp. 67-75 ◽  
Author(s):  
L. Ferrand ◽  
P. Reynes ◽  
F. Le Duigou
Keyword(s):  
Simulation Tools ◽  
Furnace Technology

Pengurangan Kadar Minyak Pada Abon Ikan Produksi Savitri Dan Tiaras Dengan Penerapan Alat Peniris Serbaguna Di Kota Kupang

2018 ◽  
Vol 2 (2) ◽  
pp. 20
Author(s):  
Muntasir Muntasir ◽  
Pius Weraman
Keyword(s):  
Raw Material ◽  
Added Value ◽  
Filter Model ◽  
Simulation Tools ◽  
The Public ◽  
Fish Meat ◽  
Efficiency Increase ◽  
Main Components ◽  
Design And Manufacture

Community Partnership Program in small home industry of making fish floss brand "Savitri" and "Tiaras" inKupang city in the form of application of electric centrifugation filter model has been implemented. One of the problemsin the production of Savitri and Tiaras fish floss is that there is still a lot of oil in the frying product which is only drainedon a simple sieve and then placed for some time on traditional tools of filter and paper that can cause low quality and lowquality, so it is necessary to reduce the oil yield frying fish floss product. In order to increase the added value and sellingvalue of the products, it is necessary synergy between Universities and Partners in the form of application of the results ofscience and technology to the public. The main components of the composer of the versatile filter are the cylindrical plateas the bucket of the filter, the cylinder filter, the electric dynamo as the centrifuge system rotator and the load-bearingconstruction. The method of this program is the provision of materials, design and manufacture of tools, demonstrationtools and the provision of a versatile filter cylinder system centrifuge model by the team, simulation tools, specialcounseling at the location of partners and suggestions as a follow-up in the endurance of production. The output of thisprogram can provide added value in the form of the use of this tool can improve labor efficiency, increase productivitypartners by producing 40 kg to 50 kg raw material, raw fish marlin, fish meat after cleaning, processed, fried, in andpacked into 80-100 packs of fish floss with the price of Rp. 40,000.00 per package weighing 250 grams. With estimatedpartners will earn a profit of Rp 3,200,000 - 4,000,000.00 per production or 12,800,000.00 - 16,000,000.00 per month incash and consumptions, as well as the abundance of non-greasy, clean and hybrid fish products

Recent Advances and Computational Approaches in Peptide Drug Discovery

2019 ◽  
Vol 25 (31) ◽  
pp. 3358-3366 ◽  
Author(s):  
Neha S. Maurya ◽  
Sandeep Kushwaha ◽  
Ashutosh Mani
Keyword(s):  
Docking Studies ◽  
Computational Approaches ◽  
Simulation Tools ◽  
Drug Candidates ◽  
Recent Advances ◽  
Long Duration ◽  
Stability Of Complexes ◽  
Therapeutic Peptides ◽  
Target Binding ◽  
Druggable Targets

Background: Drug design and development is a vast field that requires huge investment along with a long duration for providing approval to suitable drug candidates. With the advancement in the field of genomics, the information about druggable targets is being updated at a fast rate which is helpful in finding a cure for various diseases. Methods: There are certain biochemicals as well as physiological advantages of using peptide-based therapeutics. Additionally, the limitations of peptide-based drugs can be overcome by modulating the properties of peptide molecules through various biomolecular engineering techniques. Recent advances in computational approaches have been helpful in studying the effect of peptide drugs on the biomolecular targets. Receptor – ligand-based molecular docking studies have made it easy to screen compatible inhibitors against a target.Furthermore, there are simulation tools available to evaluate stability of complexes at the molecular level. Machine learning methods have added a new edge by enabling accurate prediction of therapeutic peptides. Results: Peptide-based drugs are expected to take over many popular drugs in the near future due to their biosafety, lower off-target binding chances and multifunctional properties. Conclusion: This article summarises the latest developments in the field of peptide-based therapeutics related to their usage, tools, and databases.

scholarly journals Editorial: Simulation Tools and Techniques for Communications and Networking

2021 ◽  
Author(s):  
Dingde Jiang ◽  
Houbing Song ◽  
Haijun Rong ◽  
Huihui Wang
Keyword(s):  
Simulation Tools ◽  
Tools And Techniques
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