As listmode data files continue to grow larger, access via any kind of network connections becomes more and more trouble because of the enormous traffic generated. The limited speed of transmission via modem makes analysis almost impossible. This unit presents a solution to these problems, one that involves installation at the central storage facility of a small computer program called a Web servlet. Operating in concert with a Web server, the servlet assists the analysis by extracting the display array from the data file and organizing its transmission over the network to a remote client program that creates the data display. The author discusses a recent implementation of this solution and the results for model transmission of two typical data files. The system greatly speeds access to remotely stored data yet retains the flexibility of manipulation expected with local access.
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http://dx.doi.org/10.1002/0471142956.cy1012s19 | DOI Listing |
Hum Genomics
January 2025
Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Richards Building B304, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA.
Background: Disease comorbidities and longer-term complications, arising from biologically related associations across phenotypes, can lead to increased risk of severe health outcomes. Given that many diseases exhibit sex-specific differences in their genetics, our objective was to determine whether genotype-by-sex (GxS) interactions similarly influence cross-phenotype associations. Through comparison of sex-stratified disease-disease networks (DDNs)-where nodes represent diseases and edges represent their relationships-we investigate sex differences in patterns of polygenicity and pleiotropy between diseases.
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January 2025
Department of Endocrinology, Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250001, Shandong, China.
Obesity (OB) and atherosclerosis (AS) represent two highly prevalent and detrimental chronic diseases that are intricately linked. However, the shared genetic signatures and molecular pathways underlying these two conditions remain elusive. This study aimed to identify the shared diagnostic genes and the associated molecular mechanism between OB and AS.
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January 2025
Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Predictive value of metabolic syndrome for prostate cancer risk is not clear. We aimed to assess the association between metabolic syndrome and its components with prostate cancer incidence. The primary outcome was prostate cancer incidence, i.
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January 2025
Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, 21589, Jeddah, Saudi Arabia.
As the Internet becomes increasingly popular, the number of users connected to it grows significantly. Consequently, the packet processing speed of network systems, such as routers, must be enhanced. IP lookup is a critical task used to find the next hop address by searching for the longest prefix match in the forwarding information base (FIB).
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January 2025
Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Retinal image registration is vital for diagnostic therapeutic applications within the field of ophthalmology. Existing public datasets, focusing on adult retinal pathologies with high-quality images, have limited number of image pairs and neglect clinical challenges. To address this gap, we introduce COph100, a novel and challenging dataset known as the Comprehensive Ophthalmology Retinal Image Registration dataset for infants with a wide range of image quality issues constituting the public "RIDIRP" database.
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