Browsing by Title
Now showing items 1623-1642 of 2257
-
Possible Physical Mechanisms of tRNA Pre-Selection in the Cytoplasm of Escherichia coli Bacteria
(American Scientific Publishers, 2010)In a previous publication, we used kinetic models to simulate the physical movement ofthe transfer RNA (tRNA) in the cytoplasm of Escherichia coli and concluded that tRNA molecules are not able to approach the ribosome by ... -
Potential for improving vehicle fuel efficiency and reducing the environmental pollution via fuel ionization
(2012-07)In order to reduce the level of atmospheric pollution caused by vehicle engine emissions, application of a novel technique based on fuel magnetization has been tested in this study aiming at improving fuel efficiency and ... -
Potential immunomodulatory role of sesamin in combating immune dysregulation associated with COVID-19
(Medknow Publications, 2021)The ongoing outbreak of novel coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused an unprecedented global health crisis. Development of a cure for this ... -
Power Characteristics of Selective Buried Oxide MOSFET
(2016-01)Power dissipation is an important factor in electronic circuit design due to the decreasing feature size of microelectronic devices, high clock frequencies, and large die size, as well as the growing number of mobile, ... -
Power with Every Step
(2014-07-22)Satisfying the needs for clean energy by utilizing human footsteps. -
PPARγ1 and LXRα face a new regulator of macrophage cholesterol homeostasis and inflammatory responsiveness, AEBP1
(Sage, 2010)Peroxisome proliferator-activated receptor γ1 (PPARγ1) and liver X receptor α (LXRα) are nuclear receptors that play pivotal roles in macrophage cholesterol homeostasis and inflammation; key biological processes in ... -
Practical Considerations in Frequency Diverse Array Radar Signal Processing
(2021-04)The frequency diverse array (FDA) has been shown to produce a range and angle dependent beampattern, unlike a conventional phased array which yields only a direction dependent pattern. The FDA generates a range-selective ... -
Pragmatics and the Translation of Self-Help Discourse
(2016-12)Traditionally, books are meant to instruct, entertain or both. A new wave of books has emerged known as self-help, promising its readers with better lives. These recipe format books present their own characteristics, notably ... -
The Pragmatics of Language Variation: Harry Potter in Translation
(2015-01)Language variation has been talked about in many linguistics and translation books. Language variation has often been treated in a superficial manner and sometimes ignored, but when it is pragmatically driven, conveying ... -
Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques
(2017-05)The High Efficiency Video Coding (HEVC) standard presents a substantial video compression efficiency improvement at the expense of increasing the computational complexity. This enhancement is primarily due to the introduction ... -
Predicting COVID-19 in the UAE Using Machine Learning
(2022-08)As of 17th August 2022, the United Arab Emirates (UAE) have recorded over 1 million Covid-19 cases since the start of the pandemic with over 2000 deaths and the numbers are still increasing. To combat Covid-19, UAE has ... -
Predicting gasoline prices using Michigan survey data
(2015-07)This study investigates the predictive power of Michigan Surveys of Consumers (MSC) data for gasoline prices. Specifically, we utilize the MSC data on both expected inflation and consumer sentiment to construct a vector ... -
Predicting Hypoglycemia in Diabetic Patients using Machine Learning Techniques
(2014-06)Diabetes is a chronic disease that needs continuous blood glucose monitoring and self-management. The improper control of blood glucose levels in diabetic patients can lead to serious complications such as kidney and heart ... -
Predicting Split Decisions in MPEG-2 to HEVC Video Transcoding
(Springer, 2020)This paper proposes learning-based approaches for transcoding MPEG-2 video into HEVC. In the training mode of the transcoder, mappings between extracted features and split decisions are calculated. While in the transcoding ... -
Predicting split decisions of coding units in HEVC video compression using machine learning techniques
(Springer, 2018)In this work, we propose to reduce the complexity of HEVC video encoding by predicting the split decisions of coding units. We use a sequencedependent approach in which a number of frames belonging to the video being encoded ... -
Predicting Stock Prices in Dubai Financial Market Using Neural Networks and the Polynomial Classifiers
(2007-05)Predicting stock prices has always been the aim of investors in stock markets around the globe and has been considered as one of the most challenging applications of modern Time Series Forecasting. Accordingly, there were ... -
Predicting the Fatigue Failure of Fiber Reinforced Composite Materials Using Artificial Neural Networks
(2009-09)Artificial Neural Networks (ANN) have recently been used in modeling the mechanical behavior of fiberreinforced composite materials. ANN have also been successfully used in predicting the fatigue behavior of a certain ... -
Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
(2022-04)Energy security, environmental pollution, and global warming have become major concerns due to significant population and economic growth. The transition from fossil fuels, which can be used to generate power constantly, ... -
Predicting the Release of Chemotherapeutics From the Core of Polymeric Micelles Using Ultrasound
(IEEE Explore, 2015)In this paper, the estimation of acoustic drug release from micelles is addressed. The release is measured as a decrease in fluorescence once ultrasound is applied. Initially, a Kalman filter is used to fuse the drug ... -
Prediction of Backwater Level of Bridge Constriction using ANN
(2012-12)Bridge constriction in channels usually causes afflux which results in increase in backwater level well above the normal level and may possibly result in overflow on the flood plain surrounding the channel during flooding ...