272 research outputs found
Improving Quality-of-Service of Real-Time Applications over Bandwidth Limited Satellite Communication Networks via Compression
MAP1B rescues LRRK2 mutant-mediated cytotoxicity
Leucine-rich repeat kinase 2 (LRRK2) mutations are the most common cause of dominant and sporadic Parkinson’s disease (PD), a common neurodegenerative disorder. Yeast-two-hybrid screening using human LRRK2 kinase domain as bait identified microtubule associated protein 1B (MAP1B) as a LRRK2 interactor. The interacting domains were LRRK2 kinase and the light chain portion of MAP1B (LC1). LRRK2 + LC1 interaction resulted in LRRK2 kinase inhibition. LRRK2 mutants (R1441C, G2019S and I2020T) exhibited decreased endogenous LC1 expression and its co-expression with LC1 rescued LRRK2 mutant-mediated toxicity. This study presented the first data on the effects of LRRK2 + LC1 interaction and also suggested that LCI possibly rescued LRRK2 mutant-induced cytotoxicity by inhibiting LRRK2 kinase activity. Compounds that upregulate LC1 expression may therefore hold therapeutic potential for LRRK2-linked diseases
Enhanced Compression Scheme for High Latency Networks to Improve Quality of Service of Real-Time Applications
Design of urea granulator with energy optimization
Urea granules are one of the popular fertilizers
among synthetic fertilizer industry. Its main function is to
provide nitrogen which enhances leaf growth on plant. Urea granules are produced from the process of granulation.
Granulation process is divided to wet and dry granulation.
Generally, there are two type of dry granulator which is
slugger and roller compactor. Roller compactor or also
known as roll press is using two counter rotating rolls to
compact raw material such as powder to become ribbons or
granules. If ribbons instead of granules arc produced from
compaction, milling will be used to produce granules. It is
difficult obtain a numerical result of the process due to the variety of parameters. Therefore, this work will only
consider the parameters which are related to feeder system
and roller. The parameters include the feeding rate of
feeder, roller force, roller pressure, and roller gap size.
While powder flow to roller from feeder, overfeeding may
occurs. Overfeeding is harmful because it will cause motor
failure. To overcome this problem, the function of roller
needs to be improved. The roller will be modified and hence,
a new design will be produced
DESIGN OF A UREA GRANULATOR WITH ENERGY OPTIMIZATION
Urea granules are one of the popular fertilizers
among synthetic fertilizer industry. Its main function is to
provide nitrogen which enhances leaf growth on plant. Urea
granules are produced from the process of granulation.
Granulation process is divided to wet and dry granulation.
Generally, there are two type of dry granulator which is
slugger and roller compactor. Roller compactor or also
known as roll press is using two counter rotating rolls to
compact raw material such as powder to become ribbons or
granules. If ribbons instead of granules are produced from
compaction, milling will be used to produce granules. It is
difficult obtain a numerical result of the process due to the variety of parameters. Therefore, this work will only
consider the parameters which are related to feeder system
and roller. The parameters include the feeding rate of
feeder, roller force, roller pressure, and roller gap size.
While powder flow to roller from feeder, overfeeding may
occurs. Overfeeding is harmful because it will cause motor
failure. To overcome this problem, the function of roller
needs to be improved. The roller will be modified and hence,
a new design will be produced
Production, safety, health effects and applications of diacylglycerol functional oil in food systems: a review
Diacylglycerol (DAG) is a world leading anti-obesity functional cooking oil synthesized via structural modification of conventional fats and oils. DAG exits in three stereoisomers namely sn-1,2-DAG, sn-1,3-DAG, and sn-2,3-DAG. DAG particularly sn-1,3-DAG demonstrated to have the potential in suppressing body fat accumulation and lowering postprandial serum triacylglycerol, cholesterol and glucose level. DAG also showed to improve bone health. This is attributed to DAG structure itself that caused it to absorb and digest via different metabolic pathway than conventional fats and oils. With its purported health benefits, many studies attempt to enzymatically or chemically synthesis DAG through various routes. DAG has also received wide attention as low calorie fat substitute and has been incorporated into various food matrixes. Despite being claimed as healthy cooking oil the safety of DAG still remained uncertain. DAG was banned from sale as it was found to contain probable carcinogen glycidol fatty acid esters. The article aims to provide a comprehensive and latest review of DAG emphasizing on its structure and properties, safety and regulation, process developments, metabolism and beneficial health attributes as well as its applications in the food industry
E-Queue mobile application
Waiting in line is a common experience in daily life, whether for a table at a popular restaurant or for the service at a bank.This experience is not always pleasant for most of people because they always have to wait for a long time to be serviced.The ability to interact with waiting customers is highly desirable because it allows businesses the opportunity to optimize their existing services and offer new services to
waiting customers.However, interacting with individuals waiting in a queue has been inefficient and costly because employees must either talk with each waiting customer on an ongoing basis or the business must provide high tech devices that interact with each waiting customer.Agile methodology which will be used to develop this application, it incorporates
the SDLC phases starting from the Planning phase up to the Maintenance phase.End of the research, we found that majority of respondents are
prefer to use the proposed system compared with current method
Towards clinical AI fairness: A translational perspective
Artificial intelligence (AI) has demonstrated the ability to extract insights
from data, but the issue of fairness remains a concern in high-stakes fields
such as healthcare. Despite extensive discussion and efforts in algorithm
development, AI fairness and clinical concerns have not been adequately
addressed. In this paper, we discuss the misalignment between technical and
clinical perspectives of AI fairness, highlight the barriers to AI fairness'
translation to healthcare, advocate multidisciplinary collaboration to bridge
the knowledge gap, and provide possible solutions to address the clinical
concerns pertaining to AI fairness
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