scholarly journals A Physically Transient Form of Silicon Electronics

Science ◽  
2012 ◽  
Vol 337 (6102) ◽  
pp. 1640-1644 ◽  
Author(s):  
S.-W. Hwang ◽  
H. Tao ◽  
D.-H. Kim ◽  
H. Cheng ◽  
J.-K. Song ◽  
...  
Author(s):  
Kenan Yalta ◽  
Ugur Ozkan ◽  
Tülin Yalta ◽  
Ertan Yetkin

In clinical practice, cardiac myxomas constitute the majority of benign cardiac neoplasms, and might potentially present with a variety of embolic, obstructive as well as constitutional symptoms. On the other hand, these neoplasms might be potentially associated with the evolution of takotsubo cardiomyopathy (TTC) that is universally considered as a transient form of acute myocardial dysfunction. Accordingly, the present paper primarily aims to focus on potential mechanisms and associated clinical implications of TTC evolution in the setting of cardiac myxomas.


2001 ◽  
Vol 37 (10) ◽  
pp. 1246-1252 ◽  
Author(s):  
D. Fehly ◽  
A. Schlachetzki ◽  
A.S. Bakin ◽  
A. Guttzeit ◽  
H.-H. Wehmann

Author(s):  
Cyrus Shahabi ◽  
Farnoush Banaei-Kashani

Recently, a family of massive self-organizing data networks has emerged. These networks mainly serve as large-scale distributed query-processing systems. We term these networks querical data networks (QDN). A QDN is a federation of a dynamic set of peer, autonomous nodes communicating through a transient-form interconnection. Data is naturally distributed among the QDN nodes in extra-fine grain, where a few data items are dynamically created, collected, and/or stored at each node. Therefore, the network scales linearly to the size of the data set. With a dynamic data set, a dynamic and large set of nodes, and a transient-form communication infrastructure, QDNs should be considered as the new generation of distributed database systems with significantly less constraining assumptions as compared to their ancestors. Peer-to-peer networks (Daswani, Garcia-Molina, & Yang, 2003) and sensor networks (Akyildiz, Su, Sankarasubramaniam, & Cayirci, 2002; Estrin, Govindan, Heidemann, & Kumar, 1999) are well-known examples of QDNs.


2009 ◽  
Vol 156 (1) ◽  
pp. 257-264 ◽  
Author(s):  
T. Zoumpoulidis ◽  
M. Bartek ◽  
P. de Graaf ◽  
R. Dekker

2020 ◽  
Vol 117 (17) ◽  
pp. 9173-9179 ◽  
Author(s):  
Alejandro J. Cortese ◽  
Conrad L. Smart ◽  
Tianyu Wang ◽  
Michael F. Reynolds ◽  
Samantha L. Norris ◽  
...  

We present a platform for parallel production of standalone, untethered electronic sensors that are truly microscopic, i.e., smaller than the resolution of the naked eye. This platform heterogeneously integrates silicon electronics and inorganic microlight emitting diodes (LEDs) into a 100-μm-scale package that is powered by and communicates with light. The devices are fabricated, packaged, and released in parallel using photolithographic techniques, resulting in ∼10,000 individual sensors per square inch. To illustrate their use, we show proof-of-concept measurements recording voltage, temperature, pressure, and conductivity in a variety of environments.


Author(s):  
Cyrus Shahabi ◽  
Farnoush Banaei-Kashani

Recently, a family of massive self-organizing data networks has emerged. These networks mainly serve as large-scale distributed query processing systems. We term these networks Querical Data Networks (QDN). A QDN is a federation of a dynamic set of peer, autonomous nodes communicating through a transient-form interconnection. Data is naturally distributed among the QDN nodes in extra-fine grain, where a few data items are dynamically created, collected, and/or stored at each node. Therefore, the network scales linearly to the size of the dataset. With a dynamic dataset, a dynamic and large set of nodes, and a transient-form communication infrastructure, QDNs should be considered as the new generation of distributed database systems with significantly less constraining assumptions as compared to their ancestors. Peer-to-peer networks (Daswani, 2003) and sensor networks (Estrin, 1999, Akyildiz, 2002) are well-known examples of QDN.


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