Hundreds of publicly-accessible biology data sites have appeared in the last twenty years. Sequence, microarray, and protein structure data are now stored in large complex databases. Bioinformatics, ...the computational manipulation of data to derive meaningful information, has emerged as a distinct field. Bioinformatics combines the subject expertise of the biologists with the data handling expertise of the computer scientists. There are information-science issues associated with these data: the databasing of information, the heterogeneity of the data, the complexity of the databases, the range of audiences being served, and the emergence of database standards. Librarians can make contributions in this developing area.
Granuloma annulare (GA) is a granulomatous dermatosis that rarely presents on the face and is extremely uncommon in the periocular region. We report our experience with the presentation and ...management of GA lesions on the eyelids of a 17‐year‐old girl. We performed a review of published literature and identified 13 cases of pediatric periocular GA. One additional case was identified upon review of all pediatric GA cases at the Cleveland Clinic Foundation. Review of these cases suggests that periocular GA is a benign condition that spontaneously regresses within a few months. GA nodules have a predilection for the upper eyelids. A greater incidence is noted in African American children. Awareness of the self‐resolving nature of this condition can prevent unnecessary surgical excisions in affected children.
EUV flare and CMP metal thickness are two main manufacturability concerns for nanometer process technology. The two dummification objectives, however, are conflicting with each other in nature, but ...existing works only tackle them separately, leading to problem-prone solutions because optimizing one would deteriorate the other. This paper presents the first work that simultaneously considers both concerns during manufacturability optimization. Given a system's point spread function, our proposed method first finds an initial solution with better-than-state-of-the-art EUV flare uniformity, then followed by gradient-guided optimization to iteratively refine density uniformity. Experimental results show the effectiveness of our method.
A comprehensive variation model is critical to achieve both competitive design and manufacturing yield in advanced technologies. Conventionally, as long as FEOL (front end of line) statistical model ...is appropriate, BEOL (back end of line) variations given by lumping multiple variation sources into few corners is enough to achieve reliable simulation results. However, as BEOL contribution is becoming more important with device scaling, simulation results with conventional corner model may not always produce optimal design margin. We thus propose a more comprehensive solution for BEOL variations characterization and modeling associated with statistical Monte Carlo simulation.
The project associated with this data curation profile focuses on the evaluation of corn hybrids for grain yield performance as a service for the growers. The hybrids are planted in multiple ...locations and data is gathered on their performance. The goal of the research is to produce reference data for the seed being tested. The data management needs relate to making the finalized data available in an annual publication and preserving final reports indefinitely.
Because the publication of census data on CD-ROM has expanded the capabilities of users, librarians need to consider issues involved in providing census and Geographic Information Systems (GIS) ...services, selecting GIS software, and providing user support. (JMV)
Reconfigurable neuromorphic computation in biochemical systems Chiang, Hui-Ju Katherine; Jiang, Jie-Hong R.; Fages, Francois
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),
08/2015, Letnik:
2015
Conference Proceeding, Journal Article
Implementing application-specific computation and control tasks within a biochemical system has been an important pursuit in synthetic biology. Most synthetic designs to date have focused on ...realizing systems of fixed functions using specifically engineered components, thus lacking flexibility to adapt to uncertain and dynamically-changing environments. To remedy this limitation, an analog and modularized approach to realize reconfigurable neuromorphic computation with biochemical reactions is presented. We propose a biochemical neural network consisting of neuronal modules and interconnects that are both reconfigurable through external or internal control over the concentrations of certain molecular species. Case studies on classification and machine learning applications using the DNA strain displacement technology demonstrate the effectiveness of our design in both reconfiguration and autonomous adaptation.
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