Current mammographic screeningfor breast cancer is less effective for younger women. To complement mammography for premenopausal women, we investigated the feasibility screening test using 98 blood serum proteins. Bec...
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The effects of Epley's maneuver in benign paroxysmal positional vertigo (BPPV) associated with Menière's disease are controversial. Aims: To evaluate the progression of positional vertigo and nystagmus af...
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Intrusion detection systems (IDSs) have been substantially improved in recent past. However, network attacks have become more sophisticated and increasingly complex: many of current attacks are coordinated and origina...
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Intrusion detection systems (IDSs) have been substantially improved in recent past. However, network attacks have become more sophisticated and increasingly complex: many of current attacks are coordinated and originated in multiple networks. To detect these attacks, IDSs need to obtain information on network events from multiple networks or administrative domains. This work demonstrates that a Distributed IDS (DIDS) can be composed of existing IDSs, improving the detection of misuses in a multiple network environment. We use a grid middleware for creating a service-based intrusion detection grid. We demonstrate through experimental results that the proposed DIDS allows the integration of heterogeneous existing IDSs and improves the detection of attacks by exploring the synergy between existing IDSs.
In this paper, we try to estimate Japan's cabinet approval ratings by using neural networks. In addition, we try to extract the important features in input patterns. This is the first attempt to use neural network...
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ISBN:
(纸本)9780889866317
In this paper, we try to estimate Japan's cabinet approval ratings by using neural networks. In addition, we try to extract the important features in input patterns. This is the first attempt to use neural networks and to interpret the mechanism of inference for approval estimation in a comprehensive way. Experimental results show that neural networks have much better performance than that obtained by the standard regression analysis in terms of training and testing errors. The information loss analysis reveals that the first variable, that is, the previous ratings should play the most important role in inference. Though the experimental result here shown is a preliminary one, it certainly suggests a possibility of the automatic inference of cabinet approval ratings.
Finding a boat in wind and current is an age old problem that puzzled many people throughout history. It is only until recently a simple theory is developed to allow efficient and accurate prediction of the boat's...
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ISBN:
(纸本)1934272256
Finding a boat in wind and current is an age old problem that puzzled many people throughout history. It is only until recently a simple theory is developed to allow efficient and accurate prediction of the boat's drift trajectory. Such theory could be developed using simple physics and algebra. In this paper, we will describe the derivation of the theory that would give the boat's trajectory in terms of different types of boat condition under given wind field and current field. We will show that the relationship is versatile, and could be used for practical application. We will further implement the results in computer animation setting so that the results can be obtained easily for a given application. The paper demonstrates the power of mathematics and technology to solve problem of boat drift of search and rescue.
We explore whether protein-RNA interfaces differ from non-interfaces in terms of their structural features and whether structural features vary according to the type of the bound RNA (e.g., mRNA, siRNA...etc), using a...
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We explore whether protein-RNA interfaces differ from non-interfaces in terms of their structural features and whether structural features vary according to the type of the bound RNA (e.g., mRNA, siRNA...etc), using a non-redundant dataset of 147 protein chains extracted from protein-RNA complexes in the protein data bank. Our analysis of surface roughness, solid angle and CX value of amino acid residues for each of the protein chains in the dataset shows that: The protein-RNA interface residues tend to be protruding compared to non-interface residues and tend to have higher surface roughness and exhibit moderately convex or concave solid angles. Furthermore, the protein chains in protein-RNA interfaces that contain Viral RNA and rRNA significantly differ from those that contain dsRNA, mRNA siRNA, snRNA, SRP RNA and tRNA with respect to their CX values. The results of this analysis sug gests the possibility of using such structural features to reliably identify protein-RNA interface residues when the structure of the protein is available but the structures of complexes formed by the protein with RNA are not.
The urgent need in the field of nanotechnology is functional, reliable, and scalable techniques for more complicated and controlled nanostructures in order to realize nanoscale materials and devices that have practica...
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The urgent need in the field of nanotechnology is functional, reliable, and scalable techniques for more complicated and controlled nanostructures in order to realize nanoscale materials and devices that have practical use and more capability than existing technologies. This paper addresses this need by presenting an in vitro protocol to select large non-crosshybridizing (NCH) libraries of oligonucleotides that provide a large address space of DNA sequences with which to increase both complexity and control in DNA-directed self-assembly processes. The selection protocol was experimentally verified and confirmed. The resultant large NCH libraries would allow self-assembling complex nanostructures with more precise control, leading to reliable, scaled-up, cost-effective manufacturing of nanoscale devices and systems.
High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for the microarrays show good performance, it is sti...
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High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for the microarrays show good performance, it is still difficult to infer modules of multiple co-regulated genes. Here, we present a novel classification method to identify the gene modules associated with cancers from microarray data. The proposed approach is based on 'hypernetworks', a hypergraph model consisting of vertices and weighted hyperedges. The hypernetwork model is inspired by biological networks and its learning process is suitable for identifying interacting gene modules. Applied to the analysis of microRNA (miRNA) expression profiles on multiple human cancers, the hypernetwork classifiers identified cancer-related miRNA modules. The results show that our method performs better than decision trees and naive Bayes. The biological meaning of the discovered miRNA modules has been examined by literature search.
The Department of Technology Systems (TSYS) at East Carolina University has implemented a new faculty mentoring process to enable junior faculty members to learn from senior faculty members as they prepare for a caree...
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The Department of Technology Systems (TSYS) at East Carolina University has implemented a new faculty mentoring process to enable junior faculty members to learn from senior faculty members as they prepare for a career in academia. Five tenured professors and associate professors in the TSYS department have recently established a new process to mentor faculty members within the department who have begun not yet completed their initial tenure process at a major university. This process includes a series of workshops regarding academic performance expectations during the early stages of an academic career. Our commitment to new faculty takes on several related, yet distinct features. Examples of these initiatives include: 1) reduced workloads for new faculty for the first two years to enable them to generate individual and collaborative research activities, funded grants, and publications, 2) periodic university-wide training to learn policies and procedures that affect day-to-day activities on a college campus, 3) periodic workshops hosted by senior faculty mentors, and 4) one-on-one discussions between senior faculty members and junior faculty members to encourage candid dialogue between professional colleagues. Another feature of the mentorship philosophy is a proposal to the dean of the college to offer newly hired faculty a contractual start date of July 1steach year instead of starting their contract one week prior to the start of fall classes, normally in late August. This additional period of time will be used to train new faculty in essential policies and procedures, to complete a variety of administrative tasks on campus, to get a head start on preparing for classes in the fall, and cleaning up those supplemental tasks that accompany every move to a new location. The goal of this early commitment to new faculty is to reduce the stress associated with preparing for a new course, in a new environment, with a new set of operating procedures. This will also enab
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