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"Database Management Systems - manpower"
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Deluge of astronomical data will soon hit South Africa
The expansion of a telescope network creates a thirst for more data-handling expertise and infrastructure.
The expansion of a telescope network creates a thirst for more data-handling expertise and infrastructure.
Journal Article
CIOs offer tips for hiring and retaining staff
To compensate for potentially lower salaries, [Katie Mazzuckelli] recommends that health care organizations consider implementing \"soft\" employee benefits. These kinds of benefits, such as child care and job sharing, can make health care provider and payer organizations more appealing to potential employees. \"They are never going to win on money,\" she contends. \"But if they can make the work environment more inviting to employees, they have a good chance of retaining them.\"
Magazine Article
Development and application of knowledge-based software for railcar frame welding process
As main welded components of the rail vehicle, the railcar frames have specific needs in preparing a suitable welding document for each welded joint to guide the welding process during the manufacturing process. In this paper, the expert system and database technology are introduced into the field of rail vehicle welding process preparation, and a knowledge-based software for railcar frame welding process is developed. This system could maintain the normal operation of the enterprise rail welding system based on knowledge base and database. The numerous paper-based and fragmented electronic documents are stored in a unified format within the system’s database, and a reasoning mechanism based on Rule-Based Reasoning (RBR) and Case-Based Reasoning (CBR) is designed to intelligently match the welding procedure specification (WPS) and welding procedure qualification report (WPQR) online. Furthermore, the system supports multiple departments and personnel by integrating the function of workflow to carry out the WPS prepare and review process. Thousands of welded joints with various structures and complex positions in the same vehicle body can be aggregated into a welding summary table to reduce the repeated welding procedure qualifications (WPQ) of the same or similar welding joint. This method not only saves manpower and resources, but also ensures the accuracy of these process documents. In the end, the future development trend of this kind of application software is prospected.
Journal Article
Computational biologists: moving to the driver's seat
The recent shift of computational biologists from bioinformatics service providers to leaders of cutting-edge programs highlights the accompanying cultural and conceptual changes that should be implemented by funding bodies and academic institutions.
Journal Article
The challenges of integrating multi-omic data sets
The capability to generate multi-omic data sets raises the issue of resource allocation for data generation versus data curation and integration. The initial experience of researchers shows that the effort required for the latter can be much greater than that for the former.
Journal Article
Computing Workflows for Biologists: A Roadmap
Extremely large datasets have become routine in biology. However, performing a computational analysis of a large dataset can be overwhelming, especially for novices. Here, we present a step-by-step guide to computing workflows with the biologist end-user in mind. Starting from a foundation of sound data management practices, we make specific recommendations on how to approach and perform computational analyses of large datasets, with a view to enabling sound, reproducible biological research.
Journal Article
Should biomedical research be like Airbnb?
The thesis presented here is that biomedical research is based on the trusted exchange of services. That exchange would be conducted more efficiently if the trusted software platforms to exchange those services, if they exist, were more integrated. While simpler and narrower in scope than the services governing biomedical research, comparison to existing internet-based platforms, like Airbnb, can be informative. We illustrate how the analogy to internet-based platforms works and does not work and introduce The Commons, under active development at the National Institutes of Health (NIH) and elsewhere, as an example of the move towards platforms for research.
Journal Article
End-to-end relation extraction based on bootstrapped multi-level distant supervision
Distant supervised relation extraction has been widely used to identify new relation facts from free text, since the existence of knowledge base helps these models to build a large dataset with few human intervention and low costs of manpower and time. However, the existing Distant Supervised models are all based on the single-node classifier so that they suffer from the serious false categorization problem especially for the existence of thousands of relations. In this paper, we novelly propose an end-to-end model for relation extraction based on distant supervision. Our model divides the original categorization task into a number of sub-tasks which focus on the construction of tree-like categorization structure in multiple levels. With the tree-like structure, an unlabelled relation instance can be categorized step by step along a path from the root node to a leaf node. An additional benefit of this structure is that it can be used to select negative samples from training data for each child node. In addition, to the best of our knowledge, no effort has been made to update the categorization model with new identified relation facts, which hinders the improvement of the extraction precision and recall. Although bootstrapping methods can contribute to improving the situation, they need additional calculation to evaluate the quality of extracted patterns or tuples when selecting new instances for next iterations. In this paper, we propose to do bootstrapped distant supervision to update the distant supervision model with new learned relation facts iteratively, and we can use scores directly gotten in the model to evaluate the quality of instances instead of additional calculation. As a result, we can further improve the extraction precision and recall. To save the time costs and manpower, we also propose an adaptive method by mapping function to choose the suitable thresholds for each iteration without manual choice rather than using the fixed thresholds. Experimental results conducted on three real datasets prove that our approach outperforms state-of-the-art approaches by reaching 12+% better extraction quality.
Journal Article
Assessment of seismic building vulnerability based on rapid visual screening technique aided by aerial photographs on a GIS platform
The stability of buildings in seismic prone areas depends upon the structural behavior of buildings subjected to ground motion. Buildings of plan and vertical irregularities with respect to either geometry or stiffness have exhibited poor performance during past earthquakes . Identification of seismic building vulnerability is required for metropolitan cities which have moderate to high level of seismic proneness and have a high building density. Inspection of a large number of buildings individually requires enormous time and manpower. Using aerial photograph approach in GIS platform is an ideal choice to overcome these constraints. Chennai city is the thirty-fourth largest city in the world and prone to moderate earthquake hazards. This paper presents a methodology to analyze and predict the seismic vulnerability of buildings with five storeys and above in Chennai. Aerial photographic data of all buildings, land features and roads, within the city and its direct surroundings, were digitized and incorporated on a GIS platform, resulting in a digital vector map. A number of structural parameters determined on the basis of engineering knowledge and observations through rapid visual screening (RVS) have been used to identify the plan and vertical irregularities of the buildings. A new vulnerability scoring system to identify the level of damageability has been introduced based on RVS technique and compared with traditional grading system. Subsequent to RVS, a database of buildings having different range of vulnerability scores has been prepared. The percentage of desirable and undesirable features of buildings with respect to their contribution to damage was assessed based on past experiences and vulnerability scores of buildings. The survey shows that 30 % of the buildings are in the A category of being vulnerable to collapse. There are no buildings that can be classified as defect-free. It is also to note that 55–70 % of buildings lie in the category of D (low damage vulnerability).
Journal Article