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DataGenno: building a new tool to bridge molecular and clinical genetics
Fabricio F Costa, Luciano S Foly, Marcelo P Coutinho
The Application of Clinical Genetics , 2011, DOI: http://dx.doi.org/10.2147/TACG.S17597
Abstract: taGenno: building a new tool to bridge molecular and clinical genetics Original Research (195519) Total Article Views Authors: Fabricio F Costa, Luciano S Foly, Marcelo P Coutinho Published Date March 2011 Volume 2011:4 Pages 45 - 54 DOI: http://dx.doi.org/10.2147/TACG.S17597 Fabricio F Costa1,2, Luciano S Foly1, Marcelo P Coutinho1 1DataGenno Interactive Research Ltd., Itaperuna, Rio de Janeiro, Brazil; 2Cancer Biology and Epigenomics Program, Children's Memorial Research Center, Northwestern University's Feinberg School of Medicine, Chicago, IL, USA Abstract: Clinical genetics is one of the most challenging fields in medicine, with thousands of children born every year with congenital defects that have no satisfactory diagnosis. There are more than 6,000 known single-gene disorders that can cause birth defects or diseases in approximately 1 in every 200 births. Clinical and molecular information on genetic diseases and syndromes are widespread in the literature, and there are few databases combining this information. Therefore, it is very challenging for health care professionals and researchers to translate the latest advances in science and medicine into effective clinical interventions and new treatments. In order to overcome this obstacle and promote networking, we are building DataGenno, an online medical and scientific portal. DataGenno has been developed to be a source of information on genetic diseases and syndromes for the needs of all heath care professionals and researchers. Our database will be able to integrate both clinical and molecular aspects of genetic diseases in a fully interactive environment. DataGenno’s system already contains clinical and molecular information for 300 diseases, with approximately 6,000 signs and symptoms of these diseases in a database combined with a search engine. Our main goal is to cover all genetic diseases described to date, providing not only clinical information such as morphological and anatomical features but also the most comprehensive molecular genetics/genomics features and available testing information. We are also developing ways to connect DataGenno’s portal with Electronic Health Records in order to improve the efficiency of patient care. Additionally, DataGenno’s system and search engine will be able to provide tools that will facilitate the discovery and description of new genetic syndromes. In conclusion, we believe that DataGenno's portal will be a helpful and innovative tool for health care professionals, scientists, genetic counselors, and other professionals in the clinical genetics field.
Building the Clinical Bridge to Advance Education, Research, and Practice Excellence  [PDF]
Marilyn Svejda,Janet Goldberg,Maureen Belden,Kathleen Potempa,Margaret Calarco
Nursing Research and Practice , 2012, DOI: 10.1155/2012/826061
Abstract: The University of Michigan School of Nursing and the Health System partnered to develop an undergraduate clinical education model as part of a larger project to advance clinical education, practice, and scholarship with education serving as the clinical bridge that anchors all three areas. The clinical model includes clusters of clinical units as the clinical home for four years of a student's education, clinical instruction through team mentorship, clinical immersion, special skills preparation, and student portfolio. The model was examined during a one-year pilot with junior students. Stakeholders were largely positive. Findings showed that Clinical Faculty engaged in more role modeling of teaching strategies as Mentors assumed more direct teaching used more clinical reasoning strategies. Students reported increased confidence and competence in clinical care by being integrated into the team and the Mentor's assignment. Two new full time faculty roles in the Health System support education, practice, and research. 1. Introduction Over the past several years, schools of nursing have been called upon to restructure education programs to better prepare graduates for increasingly complex and rapidly changing health care environments [1–3]. According to Benner and associates [2], nursing education programs must be redesigned to prepare nurses for new responsibilities and challenges in these health care environments. To accomplish this, the practice-education gap must be addressed by major shifts in both curricula and teaching methods [2]. The call to revise nursing education programs is paralleled by similar calls from other organizations including the Robert Wood Johnson Foundation (RWJF) [4] and the Institute of Medicine (IOM) [5]. The Institute of Medicine’s 2001 report, Crossing the Quality Chasm: A New Health System for the 21st Century, recommended that leaders in health professions should develop strategies for “restructuring clinical education to be consistent with the principles of the 21st-century health system throughout the continuum of undergraduate, graduate, and continuing education for medical, nursing, and other professional training programs” (Recommendation 12, p. 208). The recent consensus report of the RWJF in collaboration with the IOM, “Initiative on the Future of Nursing: Leading Change, Advancing Health” [6], emphasizes that nurses should achieve higher levels of education and training through an improved education system that promotes seamless academic progression. Recently, partnerships between schools of nursing and service
DataGenno: building a new tool to bridge molecular and clinical genetics
Fabricio F Costa,Luciano S Foly,Marcelo P Coutinho
The Application of Clinical Genetics , 2011,
Abstract: Fabricio F Costa1,2, Luciano S Foly1, Marcelo P Coutinho11DataGenno Interactive Research Ltd., Itaperuna, Rio de Janeiro, Brazil; 2Cancer Biology and Epigenomics Program, Children's Memorial Research Center, Northwestern University's Feinberg School of Medicine, Chicago, IL, USAAbstract: Clinical genetics is one of the most challenging fields in medicine, with thousands of children born every year with congenital defects that have no satisfactory diagnosis. There are more than 6,000 known single-gene disorders that can cause birth defects or diseases in approximately 1 in every 200 births. Clinical and molecular information on genetic diseases and syndromes are widespread in the literature, and there are few databases combining this information. Therefore, it is very challenging for health care professionals and researchers to translate the latest advances in science and medicine into effective clinical interventions and new treatments. In order to overcome this obstacle and promote networking, we are building DataGenno, an online medical and scientific portal. DataGenno has been developed to be a source of information on genetic diseases and syndromes for the needs of all heath care professionals and researchers. Our database will be able to integrate both clinical and molecular aspects of genetic diseases in a fully interactive environment. DataGenno’s system already contains clinical and molecular information for 300 diseases, with approximately 6,000 signs and symptoms of these diseases in a database combined with a search engine. Our main goal is to cover all genetic diseases described to date, providing not only clinical information such as morphological and anatomical features but also the most comprehensive molecular genetics/genomics features and available testing information. We are also developing ways to connect DataGenno’s portal with Electronic Health Records in order to improve the efficiency of patient care. Additionally, DataGenno’s system and search engine will be able to provide tools that will facilitate the discovery and description of new genetic syndromes. In conclusion, we believe that DataGenno's portal will be a helpful and innovative tool for health care professionals, scientists, genetic counselors, and other professionals in the clinical genetics field.Keywords: genetic diseases, signs and symptoms, molecular genetics, genomics, search engine, database
E-learning Platforms and E-learning Students: Building the Bridge to Success
Manuel RODRIGUES,Sérgio GON?ALVES,Florentino FDEZ-RIVEROLA
ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal , 2013,
Abstract: E-learning platforms are becoming more and more common in education and with organisations. They are seen as a complementary tool to support learning or, as in many cases, as the primary tool to do it (possibly the only one). In traditional learning, teachers can easily get an insight into how their students work and learn, and how they interact in the classroom. However, in online learning, it is more difficult for teachers to see how individual students behave. Affective states and learning styles are determinant in students’ performance. Together with stress, these are crucial factor to success. It is believed that the sole use of an E-learning platform can in itself be a cause of stress for students. Estimating, in a non-invasive way, such parameters, and taking measures to deal with them, are then the goal of this paper. We do not consider the use of dedicated sensors (invasive) such as special gloves or wrist bracelets since we intend not to be dependent on specific hardware and also because we believe that such specific hardware can induce for itself some alteration in the parameters being analysed. Our work focuses on the development of a new module (Dynamic Recognition Module) to incorporate in Moodle E-learning platform, to accommodate individualized support to E-learning students.
Modelling seasonality in Australian building approvals  [cached]
Harry M Karamujic
Australasian Journal of Construction Economics and Building , 2012,
Abstract: The paper examines the impact of seasonal influences on Australian housing approvals, represented by the State of Victoria[1] building approvals for new houses (BANHs). The prime objective of BANHs is to provide timely estimates of future residential building work. Due to the relevance of the residential property sector to the property sector as whole, BANHs are viewed by economic analysts and commentators as a leading indicator of property sector investment and as such the general level of economic activity and employment. The generic objective of the study is to enhance the practice of modelling housing variables. In particular, the study seeks to cast some additional light on modelling the seasonal behaviour of BANHs by: (i) establishing the presence, or otherwise, of seasonality in Victorian BANHs; (ii) if present, ascertaining is it deterministic or stochastic; (iii) determining out of sample forecasting capabilities of the considered modelling specifications; and (iv) speculating on possible interpretation of the results. To do so the study utilises a structural time series model of Harwey (1989). The modelling results confirm that the modelling specification allowing for stochastic trend and deterministic seasonality performs best in terms of diagnostic tests and goodness of fit measures. This is corroborated with the analysis of out of sample forecasting capabilities of the considered modelling specifications, which showed that the models with deterministic seasonal specification exhibit superior forecasting capabilities. The paper also demonstrates that if time series are characterized by either stochastic trend or seasonality, the conventional modelling approach[2] is bound to be mis-specified i.e. would not be able to identify statistically significant seasonality in time series. According to the selected modeling specification, factors corresponding to June, April, December and November are found to be significant at five per cent level. The observed seasonality could be attributed to the ‘summer holidays’ and ‘the end of financial year’ seasonal effects. [1] Victoria is geographically the second smallest state in Australia. It is also the second most populous state in Australia. Australia has six states (New South Wales, Queensland, South Australia, Tasmania, Victoria, and Western Australia), and two territories (the Northern Territory and the Australian Capital Territory). [2] A modelling approach based on the assumption of deterministic trend and deterministic seasonality.
Evaluating the success of damp building remediation
Eero Palom?ki,Kari Reijula
SJWEH Supplements , 2008,
Abstract: Despite the notable amount of research, the exact etiology and mechanisms causing the symptoms and diseases associated with dampness and microbial exposure in buildings still remain unresolved. The aim of this report is to present recommendations for remedial actions. It is essential for all stakeholders to commit themselves to the problem-solving and remediation process. Multidisciplinary teamwork and consensus-oriented approaches are needed for a successful process from the beginning. If the follow-up procedure includes microbial sampling, it should not be carried out until the conditions in the building normalize. Microbial sampling does not completely exclude the possibility of a health hazard, and sampling alone cannot be considered a reliable instrument for evaluating the success of damp remediation. Repeated, standardized questionnaires concerning complaints and symptoms are useful tools for follow-up. Some people may still have persistent symptoms and mucosal reactivity once they reoccupy a renovated building, but their problems do not necessarily imply that the renovation was inadequate.
Building the Clinical Bridge to Support Nursing Effectiveness Science  [PDF]
Kathleen Potempa,John Daly,Marita G. Titler
Nursing Research and Practice , 2012, DOI: 10.1155/2012/194147
Abstract:
Building the Clinical Bridge to Support Nursing Effectiveness Science  [PDF]
Kathleen Potempa,John Daly,Marita G. Titler
Nursing Research and Practice , 2012, DOI: 10.1155/2012/194147
Abstract:
Influence Analysis of a New Building to the Bridge Pile Foundation Construction  [PDF]
Jing Ma
Open Journal of Civil Engineering (OJCE) , 2015, DOI: 10.4236/ojce.2015.51011
Abstract: This paper is based on the analysis of an industrial factory building to the bridge pile foundation construction stability, and it researches the influence of a new building to the bridge pile foundation internal force by the finite element analysis software ANSYS. By calculating the changes of displacement and internal force of the bridge pile foundation, the deformation can be better controlled. Furthermore, comparing the data of numerical analysis with one of monitor measurements, we conclude that a new building has a small influence on the deformation under load action and the stress variation of a bridge pile foundation. That is to say, the bridge pile foundation is safe and stable under load action.
Integrated Manufacturing-Services Businesses in the Australian Building and Construction Sector  [cached]
Karen Manley,Jane Marceau
Australasian Journal of Construction Economics and Building , 2012,
Abstract: This paper establishes that the emergence of integrated manufacturing-service businessesis a key trademark of innovative industries and ‘the new economy’. Having establishedthe benefits of such integration, the phenomenon is reviewed in relation to theAustralian building and construction (B&C) sector. It is hypothesised that manufacturerssupplying building and construction work are adding value to their own activity, and that ofthe sector, by enhancing their product offerings via the provision of services. A small surveyis undertaken, with the findings revealing the nature of service provision by manufacturersin the Australian B&C sector. It appears that the ‘bundling’ of products and servicesby these manufacturers is a key competitive strategy yielding significant benefits for themand the sector as a whole.
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