M. Padaki, R. Murali, M. S. Abdullah et al.
Hasil untuk "Technology"
Menampilkan 20 dari ~16538702 hasil · dari CrossRef, arXiv, DOAJ, Semantic Scholar
Douglas Cruicksbank
O. Guillon, J. Gonzalez‐Julian, Benjamin Dargatz et al.
Field‐assisted sintering technology/Spark plasma sintering is a low voltage, direct current (DC) pulsed current activated, pressure‐assisted sintering, and synthesis technique, which has been widely applied for materials processing in the recent years. After a description of its working principles and historical background, mechanical, thermal, electrical effects in FAST/SPS are presented along with the role of atmosphere. A selection of successful materials development including refractory materials, nanocrystalline functional ceramics, graded, and non‐equilibrium materials is then discussed. Finally, technological aspects (advanced tool concepts, temperature measurement, finite element simulations) are covered.
Xiao Liu, Sitian Cheng, Hong Liu et al.
Sensing technology has been widely investigated and utilized for gas detection. Due to the different applicability and inherent limitations of different gas sensing technologies, researchers have been working on different scenarios with enhanced gas sensor calibration. This paper reviews the descriptions, evaluation, comparison and recent developments in existing gas sensing technologies. A classification of sensing technologies is given, based on the variation of electrical and other properties. Detailed introduction to sensing methods based on electrical variation is discussed through further classification according to sensing materials, including metal oxide semiconductors, polymers, carbon nanotubes, and moisture absorbing materials. Methods based on other kinds of variations such as optical, calorimetric, acoustic and gas-chromatographic, are presented in a general way. Several suggestions related to future development are also discussed. Furthermore, this paper focuses on sensitivity and selectivity for performance indicators to compare different sensing technologies, analyzes the factors that influence these two indicators, and lists several corresponding improved approaches.
L. Gold, Deborah Ayers, Jennifer Bertino et al.
BACKGROUND The interrogation of proteomes ("proteomics") in a highly multiplexed and efficient manner remains a coveted and challenging goal in biology and medicine. METHODOLOGY/PRINCIPAL FINDINGS We present a new aptamer-based proteomic technology for biomarker discovery capable of simultaneously measuring thousands of proteins from small sample volumes (15 µL of serum or plasma). Our current assay measures 813 proteins with low limits of detection (1 pM median), 7 logs of overall dynamic range (~100 fM-1 µM), and 5% median coefficient of variation. This technology is enabled by a new generation of aptamers that contain chemically modified nucleotides, which greatly expand the physicochemical diversity of the large randomized nucleic acid libraries from which the aptamers are selected. Proteins in complex matrices such as plasma are measured with a process that transforms a signature of protein concentrations into a corresponding signature of DNA aptamer concentrations, which is quantified on a DNA microarray. Our assay takes advantage of the dual nature of aptamers as both folded protein-binding entities with defined shapes and unique nucleotide sequences recognizable by specific hybridization probes. To demonstrate the utility of our proteomics biomarker discovery technology, we applied it to a clinical study of chronic kidney disease (CKD). We identified two well known CKD biomarkers as well as an additional 58 potential CKD biomarkers. These results demonstrate the potential utility of our technology to rapidly discover unique protein signatures characteristic of various disease states. CONCLUSIONS/SIGNIFICANCE We describe a versatile and powerful tool that allows large-scale comparison of proteome profiles among discrete populations. This unbiased and highly multiplexed search engine will enable the discovery of novel biomarkers in a manner that is unencumbered by our incomplete knowledge of biology, thereby helping to advance the next generation of evidence-based medicine.
Dirk Wolters, M. Washburn, J. Yates
A. S. Grove
A. Rao, E. Rubin
D. Jonassen, Kyle L. Peck, B. Wilson
K. R. Seddon
D. Psaltis, S. Quake, Changhuei Yang
A. Arora, Andrea Fosfuri, A. Gambardella
B. Buhre, L. Elliott, C. Sheng et al.
J. Shim, Merrill Warkentin, J. Courtney et al.
M. Mcluhan, Raymond Williams
S. Sze
S. M. Samaei, S. Gato-Trinidad, A. Altaee
Abstract This paper presents a review of the previous laboratory analysis and case studies on the application of the pressure-driven ceramic membrane technology for treatment of industrial wastewaters. Ceramic membranes has attracted remarkable interests in recent decades for industrial wastewater treatment because of their superior characteristic such as high fluxes , reliable working lifetime under aggressive operating conditions and ease of cleaning. The literature review revealed that the efficiency of this technology has been proven in a wide variety of wastewaters from different industries and activities including pulp and paper, textile, pharmaceutical, petrochemical, food and mining. However, there are still challenges and questions for this technology that need to be addressed in future researches such as investment cost optimisation by introducing new fabrication technologies, selectivity, permeability and packing densities improvement, fouling minimisation and proposing scale up based on experimental research results.
E. Ammenwerth
Aleksander Madry
RESEARCH POSITIONS MASSACHUSETTS INSTITUTE OF TECHNOLOGY Associate Professor of Computer Science (without tenure) July 2017–present NBX Career Development Chair July 2015–present Assistant Professor of Computer Science February 2015–June 2017 Principal Investigator in the Computer Science and Artificial Intelligence Laboratory (CSAIL) February 2015–present ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE Assistant Professor of Computer Science July 2012–January 2015 MICROSOFT RESEARCH NEW ENGLAND Postdoctoral Researcher July 2011–June 2012
Mehak Pant, Lubna Salman, Anupama V. Betigeri et al.
Background: Students belong to the most significant groups of individuals that use technology. Screen time impacts several factors including health and behavior. It is still mostly unknown how physical activity and screen-grounded programming interact to affect health-related quality of life. Methods: The study had been carried out as a crossed sectional survey. (google form survey circulated to participating university students). The student selection for this cross-sectional survey, included all undergraduate students aged 18–30 years, studying in MRIIRS, Faridabad. Participants-100, inclusion criteria age: 18–30 years university students exclusion criteria age: below 18 years. Results and Conclusion: The findings indicated that the combination of excessive screen time and no physical activity had the biggest detrimental effect on “health-related quality of life”.
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