8,029 research outputs found
Towards a virtual research environment for paediatric endocrinology across Europe
Paediatric endocrinology is a medical specialty dealing with variations of physical growth and sexual development in childhood. Genetic anomalies that can cause disorders of sexual development in children are rare. Given this, sharing and collaboration on the small number of cases that occur is needed by clinical experts in the field. The EU-funded EuroDSD project (www.eurodsd.eu) is one such collaboration involving clinical centres and clinical and genetic experts across Europe. Through the establishment of a virtual research environment (VRE) supporting sharing of data and a variety of clinical and bioinformatics analysis tools, EuroDSD aims to provide a research infrastructure for research into disorders of sex development. Security, ethics and information governance are at the heart of this infrastructure. This paper describes the infrastructure that is being built and the inherent challenges in security, availability and dependability that must be overcome for the enterprise to succeed
Many bioinformatics programming tasks can be automated with ChatGPT
Computer programming is a fundamental tool for life scientists, allowing them
to carry out many essential research tasks. However, despite a variety of
educational efforts, learning to write code can be a challenging endeavor for
both researchers and students in life science disciplines. Recent advances in
artificial intelligence have made it possible to translate human-language
prompts to functional code, raising questions about whether these technologies
can aid (or replace) life scientists' efforts to write code. Using 184
programming exercises from an introductory-bioinformatics course, we evaluated
the extent to which one such model -- OpenAI's ChatGPT -- can successfully
complete basic- to moderate-level programming tasks. On its first attempt,
ChatGPT solved 139 (75.5%) of the exercises. For the remaining exercises, we
provided natural-language feedback to the model, prompting it to try different
approaches. Within 7 or fewer attempts, ChatGPT solved 179 (97.3%) of the
exercises. These findings have important implications for life-sciences
research and education. For many programming tasks, researchers no longer need
to write code from scratch. Instead, machine-learning models may produce usable
solutions. Instructors may need to adapt their pedagogical approaches and
assessment techniques to account for these new capabilities that are available
to the general public.Comment: 13 pages, 4 figures, to be submitted for publicatio
Proceedings of International Workshop "Global Computing: Programming Environments, Languages, Security and Analysis of Systems"
According to the IST/ FET proactive initiative on GLOBAL COMPUTING, the goal is to obtain techniques (models, frameworks, methods, algorithms) for constructing systems that are flexible, dependable, secure, robust and efficient.
The dominant concerns are not those of representing and manipulating data efficiently but rather those of handling the co-ordination and interaction, security, reliability, robustness, failure modes, and control of risk of the entities in the system and the overall design, description and performance of the system itself.
Completely different paradigms of computer science may have to be developed to tackle these issues effectively. The research should concentrate on systems having the following characteristics: • The systems are composed of autonomous computational entities where activity is not centrally controlled, either because global control is impossible or impractical, or because the entities are created or controlled by different owners.
• The computational entities are mobile, due to the movement of the physical platforms or by movement of the entity from one platform to another.
• The configuration varies over time. For instance, the system is open to the introduction of new computational entities and likewise their deletion.
The behaviour of the entities may vary over time.
• The systems operate with incomplete information about the environment.
For instance, information becomes rapidly out of date and mobility requires information about the environment to be discovered.
The ultimate goal of the research action is to provide a solid scientific foundation for the design of such systems, and to lay the groundwork for achieving effective principles for building and analysing such systems.
This workshop covers the aspects related to languages and programming environments as well as analysis of systems and resources involving 9 projects (AGILE , DART, DEGAS , MIKADO, MRG, MYTHS, PEPITO, PROFUNDIS, SECURE) out of the 13 founded under the initiative. After an year from the start of the projects, the goal of the workshop is to fix the state of the art on the topics covered by the two clusters related to programming environments and analysis of systems as well as to devise strategies and new ideas to profitably continue the research effort towards the overall objective of the initiative.
We acknowledge the Dipartimento di Informatica and Tlc of the University of Trento, the Comune di Rovereto, the project DEGAS for partially funding the event and the Events and Meetings Office of the University of Trento for the valuable collaboration
DEVELOPMENT OF A MEDICAL STAFF RECRUITMENT SYSTEM FOR TEACHING HOSPITALS IN NIGERIA
Recruitment of staff into teaching hospitals in Nigeria, acts as the first step towards creating competitive strength and strategic advantage for such institutions. However, one of the major problems associated with these institutions in the South Western part of Nigeria is their mode of staff recruitment. In this research paper, we developed a suitable staff recruitment system for some health institutions in Nigeria, focusing specifically on some teaching hospitals. Three teaching hospitals in south west Nigeria, were visited and relevant information was collated through personal interviews and questionnaires administration to the staff of Human Resource Departments and other relevant health professionals of these teaching hospitals. The design and development of the system employs 3-tier web architecture. System design of the staff recruitment system consisted of design activities that produce system specifications satisfying the functional requirements that were developed in the system analysis process. A formal model of the staff recruitment system was built using Unified Modeling Language (UML). The UML, as a modeling system, which provides a set of conventions that were used to describe the software system in terms of objects, offers diagrams that provide different perspective views of the system parts. The Web-based Medical Recruitment System (WBMRS) was designed to be user friendly and it is easy to navigate
A Taxonomy of Workflow Management Systems for Grid Computing
With the advent of Grid and application technologies, scientists and
engineers are building more and more complex applications to manage and process
large data sets, and execute scientific experiments on distributed resources.
Such application scenarios require means for composing and executing complex
workflows. Therefore, many efforts have been made towards the development of
workflow management systems for Grid computing. In this paper, we propose a
taxonomy that characterizes and classifies various approaches for building and
executing workflows on Grids. We also survey several representative Grid
workflow systems developed by various projects world-wide to demonstrate the
comprehensiveness of the taxonomy. The taxonomy not only highlights the design
and engineering similarities and differences of state-of-the-art in Grid
workflow systems, but also identifies the areas that need further research.Comment: 29 pages, 15 figure
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