scholarly journals Heterogeneous Integration of GaN and BCD Technologies

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 351 ◽  
Author(s):  
Mei Soh ◽  
T. Teo ◽  
S. Selvaraj ◽  
Lulu Peng ◽  
Don Disney ◽  
...  
Keyword(s):  
Life Science ◽  
Electrical Power ◽  
Science Research ◽  
Heterogeneous Integration ◽  
Led Driver ◽  
Fully Integrated ◽  
Light Emitting ◽  
First Case ◽  
Compact Size ◽  
Small Form Factor

Light-emitting diodes (LEDs) are solid-state devices that are highly energy efficient, fast switching, have a small form factor, and can emit a specific wavelength of light. The ability to precisely control the wavelength of light emitted with the fabrication process enables LEDs to not only provide illumination, but also find applications in biology and life science research. To enable the new generation of LED devices, methods to improve the energy efficiency for possible battery operation and integration level for miniaturized lighting devices should be explored. This paper presents the first case of the heterogeneous integration of gallium nitride (GaN) power devices, both GaN LED and GaN transistor, with bipolar CMOS DMOS (BCD) circuits that can achieve this. To validate this concept, an LED driver was designed, implemented and verified experimentally. It features an output electrical power of 1.36 W and compact size of 2.4 × 4.4 mm2. The designed fully integrated LED lighting device emits visible light at a wavelength of approximately 454 nm and can therefore be adopted for biology research and life science applications.

scholarly journals A beginner’s guide to RT-PCR, qPCR and RT-qPCR

2020 ◽  
Vol 42 (3) ◽  
pp. 48-53 ◽  
Author(s):  
Grace Adams
Keyword(s):  
Gene Expression ◽  
Polymerase Chain Reaction ◽  
Messenger Rna ◽  
Life Science ◽  
Science Research ◽  
Quantitative Real Time Pcr ◽  
Rt Pcr ◽  
Chain Reaction ◽  
Mrna Quantitation ◽  
Polymerase Chain

The development of the polymerase chain reaction (PCR), for which Kary Mullis received the 1992 Novel Prize in Chemistry, revolutionized molecular biology. At around the time that prize was awarded, research was being carried out by Russel Higuchi which led to the discovery that PCR can be monitored using fluorescent probes, facilitating quantitative real-time PCR (qPCR). In addition, the earlier discovery of reverse transcriptase (in 1970) laid the groundwork for the development of RT-PCR (used in molecular cloning). The latter can be coupled to qPCR, termed RT-qPCR, allowing analysis of gene expression through messenger RNA (mRNA) quantitation. These techniques and their applications have transformed life science research and clinical diagnosis.

scholarly journals Bioterrorism: Lessons Learned Since the Anthrax Mailings

mBio ◽  
2011 ◽  
Vol 2 (6) ◽  
Author(s):  
Michael J. Imperiale ◽  
Arturo Casadevall
Keyword(s):  
United States ◽  
Bacillus Anthracis ◽  
Life Science ◽  
Science Research ◽  
The United States ◽  
September 11 ◽  
Lessons Learned ◽  
Content Type ◽  
Risks And Benefits ◽  
September 11 Attacks

ABSTRACT In the fall of 2001, Bacillus anthracis spores were spread through letters mailed in the United States. Twenty-two people are known to have been infected, and five of these individuals died. Together with the  September 11 attacks, this resulted in a reevaluation of the risks and benefits of life science research with the potential for misuse. In this editorial, we review some of the results of these discussions and their implications for the future.

scholarly journals Educational Challenges of Molecular Life Science: Characteristics and Implications for Education and Research

2010 ◽  
Vol 9 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Lena A.E. Tibell ◽  
Carl-Johan Rundgren
Keyword(s):  
Applied Sciences ◽  
Pure Sciences ◽  
Life Science ◽  
Daily Life ◽  
Life Sciences ◽  
Science Research ◽  
Technical Innovation ◽  
Research And Teaching ◽  
Educational Challenges ◽  
Starting Point

Molecular life science is one of the fastest-growing fields of scientific and technical innovation, and biotechnology has profound effects on many aspects of daily life—often with deep, ethical dimensions. At the same time, the content is inherently complex, highly abstract, and deeply rooted in diverse disciplines ranging from “pure sciences,” such as math, chemistry, and physics, through “applied sciences,” such as medicine and agriculture, to subjects that are traditionally within the remit of humanities, notably philosophy and ethics. Together, these features pose diverse, important, and exciting challenges for tomorrow's teachers and educational establishments. With backgrounds in molecular life science research and secondary life science teaching, we (Tibell and Rundgren, respectively) bring different experiences, perspectives, concerns, and awareness of these issues. Taking the nature of the discipline as a starting point, we highlight important facets of molecular life science that are both characteristic of the domain and challenging for learning and education. Of these challenges, we focus most detail on content, reasoning difficulties, and communication issues. We also discuss implications for education research and teaching in the molecular life sciences.

Genome-Wide Prediction of Coaxial Helical Stacking Using Random Forests and Covariance Models

2014 ◽  
Vol 23 (03) ◽  
pp. 1460008
Author(s):  
Kevin Byron ◽  
Jason T. L. Wang ◽  
Dongrong Wen
Keyword(s):  
Random Forests ◽  
Life Science ◽  
Science Research ◽  
Genomic Region ◽  
Computational Approach ◽  
Search Method ◽  
Genome Wide ◽  
A Genome ◽  
Genome Wide Search ◽  
Covariance Models

Developing effective artificial intelligence tools to find motifs in DNA, RNA and proteins poses a challenging yet important problem in life science research. In this paper, we present a computational approach for finding RNA tertiary motifs in genomic sequences. Specifically, we predict genomic coordinate locations for coaxial helical stackings in 3-way RNA junctions. These predictions are provided by our tertiary motif search package, named CSminer, which utilizes two versatile methodologies: random forests and covariance models. A coaxial helical stacking tertiary motif occurs in a 3-way RNA junction where two separate helical elements form a pseudocontiguous helix and provide thermodynamic stability to the RNA molecule as a whole. Our CSminer tool first uses a genome-wide search method based on covariance models to find a genomic region that may potentially contain a coaxial helical stacking tertiary motif. CSminer then uses a random forests classifier to predict whether the genomic region indeed contains the tertiary motif. Experimental results demonstrate the effectiveness of our approach.

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