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Choi J.,GIST Inc
2016 International Conference on Information and Communication Technology Convergence, ICTC 2016 | Year: 2016

In this paper, we consider sparse index multiple access (SIMA) for uplink transmissions in a wireless system of a number of devices when a fraction of them are active. This multiple access scheme is suitable for the case that an access point (AP) needs to not only receive signals, but also identify active devices when there are a number of devices with unique identification sequences (the number of devices can be easily more than a million). We propose a two-stage transmission scheme and derive computationally efficient methods to estimate the channels of active devices in the first stage and to perform device identification within the physical layer together with data detection in the second stage using a well-known sparse signal estimation method in compressive sensing (CS). © 2016 IEEE.


Choi J.,GIST Inc
2016 International Conference on Information and Communication Technology Convergence, ICTC 2016 | Year: 2016

In this paper, we study the throughput of compressive random access for machine type communications (MTC) and compare it with that of multi-channel ALOHA. In compressive random access, the sparsity of active devices is exploited to use compressive sensing (CS) based low-complexity multiuser detection (MUD) when non-orthogonal spreading codes are used to support a number of devices. For tractable analysis, we consider a high signal-To-noise ratio (SNR) assumption with a collision model as well as flat fading environments. Based on the analysis, we can show that compressive random access is promising (and performs better than multi-channel ALOHA) to support a number of devices with a sufficiently low activity, which might be suitable for MTC. © 2016 IEEE.


News Article | November 1, 2016
Site: www.eurekalert.org

Researchers at University of California San Diego School of Medicine and Mayo Clinic provide the first evidence that the Hedgehog signaling pathway is central to the formation of gastrointestinal stromal tumors (GIST), which are frequently driven by the KIT oncogene. Results of the human study were recently published online in Oncotarget. "Our new finding is a step forward in overcoming tyrosine kinase inhibitor resistance, a clinically significant problem in the management of GIST," said Jason Sicklick, MD, associate professor of surgery at UC San Diego School of Medicine and surgical oncologist at Moores Cancer Center at UC San Diego Health. "By knowing that Hedgehog signaling is altered in human GIST, and that it controls KIT expression, we may have found a way to turn the cancer off." GISTs eventually become highly resistant to current drug therapies. Clinicians fight the growth with progressively aggressive drugs, the downside being that each later line of therapy has diminishing effectiveness and higher toxicity for patients. More than 95 percent of patients eventually succumb to drug-resistant GIST, necessitating the search for alternative therapeutic targets. "We may have found this cancer's 'on' switch," said Sicklick. "We are flipping the switch 'off' with arsenic, a drug that is already in clinical practice. With this drug, we are able to kill multidrug-resistant cell lines, offering a new approach to treatment." GIST is the most common sarcoma with an estimated annual incidence of 6.8 cases per million people in the United States. These tumors start in special cells found in the wall of the GI tract, called the interstitial cells of Cajal (ICCs). ICCs are sometimes called the "pacemakers" of the GI tract because they signal the muscles in the digestive system to contract to move food and liquid through the GI tract. Sicklick was recently named by The Life Raft Group, a national advocacy group that supports research and treatment of GIST, as their Clinician-of-the-Year for 2016. As a physician-scientist, Sicklick is dedicated to understanding GIST at the basic science level while finding treatments for GIST that are best for adult, adolescent and pediatric patients. Tamas Ordog, MD, co-senior author of the paper, is a basic scientist known for his research on ICCs. He is affiliated with the Mayo Clinic Center for Individualized Medicine and he is a member of the Life Raft Group Research Team. Moores Cancer Center is the region's only NCI-designated comprehensive cancer center. It is also the first and only San Diego-based member of the National Comprehensive Cancer Network, an alliance of the world's leading cancer centers. Moores Cancer Center currently operates more than 170 open treatment trials. These investigational therapies include advanced, highly personalized stem cell-based approaches and immunotherapies that leverage the inherent healing powers of the human body. To learn more about the treatment of GIST at Moores Cancer Center, visit: https:/ Contributors to this paper include: Chih-Min Tang, Tracy E. Lee, Adam M. Burgoyne, Stephanie Y. Leonard, Jonathan C. Chan, Eileen Shi, Martina De Siena, and Olivier Harismendy from UC San Diego; Sabriya A. Syed, Fei Gao, Michael L. Kendrick, and Michael R. Bardsley from Mayo Clinic; Junhao Mao from University of Massachusetts, Worchester, Massachusetts; and Juliann Chmielecki, Deborah Morosini, Kai Wang, and Jeffrey S. Ross from Foundation Medicine Inc.


CAMBRIDGE, Mass., Nov. 30, 2016 /PRNewswire/ -- Blueprint Medicines Corporation (NASDAQ: BPMC), a leader in discovering and developing targeted kinase medicines for patients with genomically defined diseases, today announced data from its ongoing Phase 1 clinical trial evaluating BLU-285,...


Robinson J.T.,Harvard University | Jorgolli M.,Harvard University | Shalek A.K.,Harvard University | Yoon M.-H.,Harvard University | And 3 more authors.
Nature Nanotechnology | Year: 2012

Deciphering the neuronal codeĝ€"the rules by which neuronal circuits store and process informationĝ€"is a major scientific challenge. Currently, these efforts are impeded by a lack of experimental tools that are sensitive enough to quantify the strength of individual synaptic connections and also scalable enough to simultaneously measure and control a large number of mammalian neurons with single-cell resolution. Here, we report a scalable intracellular electrode platform based on vertical nanowires that allows parallel electrical interfacing to multiple mammalian neurons. Specifically, we show that our vertical nanowire electrode arrays can intracellularly record and stimulate neuronal activity in dissociated cultures of rat cortical neurons and can also be used to map multiple individual synaptic connections. The scalability of this platform, combined with its compatibility with silicon nanofabrication techniques, provides a clear path towards simultaneous, high-fidelity interfacing with hundreds of individual neurons. © 2012 Macmillan Publishers Limited. All rights reserved.


Park M.-G.,GIST Inc | Yoon K.-J.,GIST Inc
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | Year: 2015

We propose a new approach to associate supervised learning-based confidence prediction with the stereo matching problem. First of all, we analyze the characteristics of various confidence measures in the regression forest framework to select effective confidence measures using training data. We then train regression forests again to predict the correctness (confidence) of a match by using selected confidence measures. In addition, we present a confidence-based matching cost modulation scheme based on the predicted correctness for improving the robustness and accuracy of various stereo matching algorithms. We apply the proposed scheme to the semi-global matching algorithm to make it robust under unexpected difficulties that can occur in outdoor environments. We verify the proposed confidence measure selection and cost modulation methods through extensive experimentation with various aspects using KITTI and challenging outdoor datasets. © 2015 IEEE.


Embodiments of the present invention are directed to automated information-search and information-retrieval systems that provide information, on a continuous or periodic basis, to users or subscribers. In one embodiment of the present invention, information is gathered from a users computer, or from computers accessible from the users computer, on an essentially continuous basis in order to provide a database of information from which meaningful and focused search queries can be automatically constructed. The search queries are then employed to find, on behalf of the user or subscriber, current information useful to, and needed by, the user or subscriber.


Embodiments of the present invention are directed to automated information-search and information-retrieval systems that provide information, on a continuous or periodic basis, to users or subscribers. In one embodiment of the present invention, information is gathered from a users computer, or from computers accessible from the users computer, on an essentially continuous basis in order to provide a database of information from which meaningful and focused search queries can be automatically constructed. The search queries are then employed to find, on behalf of the user or subscriber, current information useful to, and needed by, the user or subscriber.


Embodiments of the present invention are directed to automated information-search and information-retrieval systems that provide information, on a continuous or periodic basis, to users or subscribers. In one embodiment of the present invention, information is gathered from a users computer, or from computers accessible from the users computer, on an essentially continuous basis in order to provide a database of information from which meaningful and focused search queries can be automatically constructed. The search queries are then employed to find, on behalf of the user or subscriber, current information useful to, and needed by, the user or subscriber.


Embodiments of the present invention are directed to automated information-search and information-retrieval systems that provide information, on a continuous or periodic basis, to users or subscribers. In one embodiment of the present invention, information is gathered from a users computer, or from computers accessible from the users computer, on an essentially continuous basis in order to provide a database of information from which meaningful and focused search queries can be automatically constructed. The search queries are then employed to find, on behalf of the user or subscriber, current information useful to, and needed by, the user or subscriber.

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