The Intersectoral Collaboration Document for Cancer Risk Factors Reduction: Method and Stakeholder Analysis

Directory of Open Access Journals (Sweden)

Ali-Asghar Kolahi

2016-03-01

Full Text Available Background and Objective: Cancers are one of the most important public health issues and the third leading cause of mortality after cardiovascular diseases and injuries in Iran. The most common cancers reported in the recent years have been included skin, stomach, breast, colon, bladder, leukemia, and esophagus respectively. Control of cancer as one of the three main health system priorities of Iran, needs a specific roadmap and clear task definition for involved organizations. This study provides stakeholder analysis include determining the roles of Ministry of Health and Medical Education as the custodian of the national health and the duties of other beneficiary organizations to reduce the risk of cancer for cooperation with a scientific approach and systematic methodology.Materials and Methods: This health system research project was performed by participation of Social Determinants of Health Research Center of Shahid Beheshti University of Medical Sciences, Office of the Non-Communicable Diseases of the Ministry of Health and Medical Education and other stakeholders in 2013. At first, the strategic committee was established and the stakeholders were identified and analyzed. Then the quantitative data were collected by searching in national database concern incidence, prevalence, and burden of all types of cancers. At the last with the qualitative approach, a systematic review of the studies, documents and reports was conducted as well as conversing for the national strategic plans of Iran and other countries and the experts’ views regarding management of the cancer risk factors. In practice, role and responsibilities of each stakeholder were practically analyzed. Then the risk factors identified and the effective evidence-based interventions were determined for each cancer and finally the role of the Ministry of Health were set as the responsible or co-worker and also the role of the other organizations separately clarified in each

Collaborating to Move Research Forward: Proceedings of the 10th Annual Bladder Cancer Think Tank.

Science.gov (United States)

Kamat, Ashish M; Agarwal, Piyush; Bivalacqua, Trinity; Chisolm, Stephanie; Daneshmand, Sia; Doroshow, James H; Efstathiou, Jason A; Galsky, Matthew; Iyer, Gopa; Kassouf, Wassim; Shah, Jay; Taylor, John; Williams, Stephen B; Quale, Diane Zipursky; Rosenberg, Jonathan E

2016-04-27

The 10th Annual Bladder Cancer Think Tank was hosted by the Bladder Cancer Advocacy Network and brought together a multidisciplinary group of clinicians, researchers, representatives and Industry to advance bladder cancer research efforts. Think Tank expert panels, group discussions, and networking opportunities helped generate ideas and strengthen collaborations between researchers and physicians across disciplines and between institutions. Interactive panel discussions addressed a variety of timely issues: 1) data sharing, privacy and social media; 2) improving patient navigation through therapy; 3) promising developments in immunotherapy; 4) and moving bladder cancer research from bench to bedside. Lastly, early career researchers presented their bladder cancer studies and had opportunities to network with leading experts.

Collaboration and communication in colorectal cancer care: a qualitative study of the challenges experienced by patients and health care professionals

Science.gov (United States)

Kamradt, Martina; Baudendistel, Ines; Längst, Gerda; Kiel, Marion; Eckrich, Felicitas; Winkler, Eva; Szecsenyi, Joachim; Ose, Dominik

2015-01-01

Background. Colorectal cancer is becoming a chronic condition. This has significant implications for the delivery of health care and implies the involvement of a range of health care professionals (HCPs) from different settings to ensure the needed quality and continuity of care. Objectives. To explore the challenges that patients and HCPs experience in the course of colorectal cancer care and the perceived consequences caused by these challenges. Methods. Ten semi-structured focus groups were conducted including patients receiving treatment for colorectal cancer, representatives of patient support groups, physicians and other non-physician HCPs from different health care settings. Participants were asked to share their experiences regarding colorectal cancer care. All data were audio- and videotaped, transcribed verbatim and thematically analysed using qualitative content analysis. Results. Patients and HCPs (total N = 47) experienced collaboration and communication as well as exchange of information between HCPs as challenging. Particularly communication and information exchange with GPs appeared to be lacking. The difficulties identified restricted a well-working coordination of care and seemed to cause inappropriate health care. Conclusion. Colorectal cancer care seems to require an effective, well-working collaboration and communication between the different HCPs involved ensuring the best possible care to suit patients’ individual needs. However, the perceived challenges and consequences of our participants seem to restrict the delivery of the needed quality of care. Therefore, it seems crucial (i) to include all HCPs involved, especially the GP, (ii) to support an efficient and standardized exchange of health-related information and (iii) to focus on the patients’ entire pathway of care. PMID:26311705

[Scientific production and cancer-related collaboration networks in Peru 2000-2011: a bibliometric study in Scopus and Science Citation Index].

Science.gov (United States)

Mayta-Tristán, Percy; Huamaní, Charles; Montenegro-Idrogo, Juan José; Samanez-Figari, César; González-Alcaide, Gregorio

2013-03-01

A bibliometric study was carried out to describe the scientific production on cancer written by Peruvians and published in international health journals, as well as to assess the scientific collaboration networks. It included articles on cancer written in Peru between the years 2000 and 2011 and published in health journals indexed in SCOPUS or Science Citation Index Expanded. In the 358 articles identified, an increase in the production was seen, from 4 articles in 2000 to 57 in 2011.The most studied types were cervical cancer (77 publications); breast cancer (53), and gastric cancer (37). The National Institute of Neoplastic Diseases (INEN) was the most productive institution (121 articles) and had the highest number of collaborations (180 different institutions). 52 clinical trials were identified, 29 of which had at least one author from INEN. We can conclude that, cancer research is increasing in Peru, the INEN being the most productive institution, with an important participation in clinical trials.

Accelerating cancer therapy development: the importance of combination strategies and collaboration. Summary of an Institute of Medicine workshop.

Science.gov (United States)

LoRusso, Patricia M; Canetta, Renzo; Wagner, John A; Balogh, Erin P; Nass, Sharyl J; Boerner, Scott A; Hohneker, John

2012-11-15

Cancer cells contain multiple genetic changes in cell signaling pathways that drive abnormal cell survival, proliferation, invasion, and metastasis. Unfortunately, patients treated with single agents inhibiting only one of these pathways--even if showing an initial response--often develop resistance with subsequent relapse or progression of their cancer, typically via the activation of an alternative uninhibited pathway. Combination therapies offer the potential for inhibiting multiple targets and pathways simultaneously to more effectively kill cancer cells and prevent or delay the emergence of drug resistance. However, there are many unique challenges to developing combination therapies, including devising and applying appropriate preclinical tests and clinical trial designs, prioritizing which combination therapies to test, avoiding overlapping toxicity of multiple agents, and overcoming legal, cultural, and regulatory barriers that impede collaboration among multiple companies, organizations, and/or institutions. More effective strategies to efficiently develop combination cancer therapies are urgently needed. Thus, the Institute of Medicine's National Cancer Policy Forum recently convened a workshop with the goal of identifying barriers that may be impeding the development of combination investigational cancer therapies, as well as potential solutions to overcome those barriers, improve collaboration, and ultimately accelerate the development of promising combinations of investigational cancer therapies. ©2012 AACR.

Thyroid Cancer and Tumor Collaborative Registry (TCCR).

Science.gov (United States)

Shats, Oleg; Goldner, Whitney; Feng, Jianmin; Sherman, Alexander; Smith, Russell B; Sherman, Simon

2016-01-01

A multicenter, web-based Thyroid Cancer and Tumor Collaborative Registry (TCCR, http://tccr.unmc.edu) allows for the collection and management of various data on thyroid cancer (TC) and thyroid nodule (TN) patients. The TCCR is coupled with OpenSpecimen, an open-source biobank management system, to annotate biospecimens obtained from the TCCR subjects. The demographic, lifestyle, physical activity, dietary habits, family history, medical history, and quality of life data are provided and may be entered into the registry by subjects. Information on diagnosis, treatment, and outcome is entered by the clinical personnel. The TCCR uses advanced technical and organizational practices, such as (i) metadata-driven software architecture (design); (ii) modern standards and best practices for data sharing and interoperability (standardization); (iii) Agile methodology (project management); (iv) Software as a Service (SaaS) as a software distribution model (operation); and (v) the confederation principle as a business model (governance). This allowed us to create a secure, reliable, user-friendly, and self-sustainable system for TC and TN data collection and management that is compatible with various end-user devices and easily adaptable to a rapidly changing environment. Currently, the TCCR contains data on 2,261 subjects and data on more than 28,000 biospecimens. Data and biological samples collected by the TCCR are used in developing diagnostic, prevention, treatment, and survivorship strategies against TC.

Value Systems Alignment Analysis in Collaborative Networked Organizations Management

OpenAIRE

Patricia Macedo; Luis Camarinha-Matos

2017-01-01

The assessment of value systems alignment can play an important role in the formation and evolution of collaborative networks, contributing to reduce potential risks of collaboration. For this purpose, an assessment tool is proposed as part of a collaborative networks information system, supporting both the formation and evolution of long-term strategic alliances and goal-oriented networks. An implementation approach for value system alignment analysis is described, which is intended to assis...

Enabling Collaborative Analysis: State Evaluation Groups, the Electronic State File, and Collaborative Analysis Tools

International Nuclear Information System (INIS)

Eldridge, C.; Gagne, D.; Wilson, B.; Murray, J.; Gazze, C.; Feldman, Y.; Rorif, F.

2015-01-01

The timely collection and analysis of all safeguards relevant information is the key to drawing and maintaining soundly-based safeguards conclusions. In this regard, the IAEA has made multidisciplinary State Evaluation Groups (SEGs) central to this process. To date, SEGs have been established for all States and tasked with developing State-level approaches (including the identification of technical objectives), drafting annual implementation plans specifying the field and headquarters activities necessary to meet technical objectives, updating the State evaluation on an ongoing basis to incorporate new information, preparing an annual evaluation summary, and recommending a safeguards conclusion to IAEA senior management. To accomplish these tasks, SEGs need to be staffed with relevant expertise and empowered with tools that allow for collaborative access to, and analysis of, disparate information sets. To ensure SEGs have the requisite expertise, members are drawn from across the Department of Safeguards based on their knowledge of relevant data sets (e.g., nuclear material accountancy, material balance evaluation, environmental sampling, satellite imagery, open source information, etc.) or their relevant technical (e.g., fuel cycle) expertise. SEG members also require access to all available safeguards relevant data on the State. To facilitate this, the IAEA is also developing a common, secure platform where all safeguards information can be electronically stored and made available for analysis (an electronic State file). The structure of this SharePoint-based system supports IAEA information collection processes, enables collaborative analysis by SEGs, and provides for management insight and review. In addition to this common platform, the Agency is developing, deploying, and/or testing sophisticated data analysis tools that can synthesize information from diverse information sources, analyze diverse datasets from multiple viewpoints (e.g., temporal, geospatial

The 15-Country Collaborative Study of Cancer Risk among Radiation Workers in the Nuclear Industry

DEFF Research Database (Denmark)

Cardis, E; Vrijheid, M; Blettner, M

2007-01-01

A 15-Country collaborative cohort study was conducted to provide direct estimates of cancer risk following protracted low doses of ionizing radiation. Analyses included 407,391 nuclear industry workers monitored individually for external radiation and 5.2 million person-years of follow-up. A sign...

Collaboration and Networking

NARCIS (Netherlands)

Husson, O.; Manten-Horst, E.; Graaf, W.T.A. van der

2016-01-01

Awareness of the need for collaboration across pediatric and adult cancer to care for adolescents and young adults (AYAs) arose from the recognition of the unique characteristics of AYAs with cancer. Neither pediatric nor adult oncology hospital departments are able to provide age-appropriate care

Analysis of stage and clinical/prognostic factors for colon and rectal cancer from SEER registries: AJCC and collaborative stage data collection system.

Science.gov (United States)

Chen, Vivien W; Hsieh, Mei-Chin; Charlton, Mary E; Ruiz, Bernardo A; Karlitz, Jordan; Altekruse, Sean F; Ries, Lynn A G; Jessup, J Milburn

2014-12-01

The Collaborative Stage (CS) Data Collection System enables multiple cancer registration programs to document anatomic and molecular pathology features that contribute to the Tumor (T), Node (N), Metastasis (M) - TNM - system of the American Joint Committee on Cancer (AJCC). This article highlights changes in CS for colon and rectal carcinomas as TNM moved from the AJCC 6th to the 7th editions. Data from 18 Surveillance, Epidemiology, and End Results (SEER) population-based registries were analyzed for the years 2004-2010, which included 191,361colon and 73,341 rectal carcinomas. Overall, the incidence of colon and rectal cancers declined, with the greatest decrease in stage 0. The AJCC's 7th edition introduction of changes in the subcategorization of T4, N1, and N2 caused shifting within stage groups in 25,577 colon and 10,150 rectal cancers diagnosed in 2010. Several site-specific factors (SSFs) introduced in the 7th edition had interesting findings: 1) approximately 10% of colon and rectal cancers had tumor deposits - about 30%-40% occurred without lymph node metastases, which resulted in 2.5% of colon and 3.3% of rectal cases becoming N1c (stage III A/B) in the AJCC 7th edition; 2) 10% of colon and 12% of rectal cases had circumferential radial margins Cancer Society.

Scientist, Single Cell Analysis Facility | Center for Cancer Research

Science.gov (United States)

The Cancer Research Technology Program (CRTP) develops and implements emerging technology, cancer biology expertise and research capabilities to accomplish NCI research objectives.  The CRTP is an outward-facing, multi-disciplinary hub purposed to enable the external cancer research community and provides dedicated support to NCI’s intramural Center for Cancer Research (CCR).  The dedicated units provide electron microscopy, protein characterization, protein expression, optical microscopy and nextGen sequencing. These research efforts are an integral part of CCR at the Frederick National Laboratory for Cancer Research (FNLCR).  CRTP scientists also work collaboratively with intramural NCI investigators to provide research technologies and expertise. KEY ROLES AND RESPONSIBILITIES We are seeking a highly motivated Scientist II to join the newly established Single Cell Analysis Facility (SCAF) of the Center for Cancer Research (CCR) at NCI. The SCAF will house state of the art single cell sequencing technologies including 10xGenomics Chromium, BD Genomics Rhapsody, DEPPArray, and other emerging single cell technologies. The Scientist: Will interact with close to 200 laboratories within the CCR to design and carry out single cell experiments for cancer research Will work on single cell isolation/preparation from various tissues and cells and related NexGen sequencing library preparation Is expected to author publications in peer reviewed scientific journals

Addressing cancer disparities via community network mobilization and intersectoral partnerships: a social network analysis.

Directory of Open Access Journals (Sweden)

Shoba Ramanadhan

Full Text Available Community mobilization and collaboration among diverse partners are vital components of the effort to reduce and eliminate cancer disparities in the United States. We studied the development and impact of intersectoral connections among the members of the Massachusetts Community Network for Cancer Education, Research, and Training (MassCONECT. As one of the Community Network Program sites funded by the National Cancer Institute, this infrastructure-building initiative utilized principles of Community-based Participatory Research (CBPR to unite community coalitions, researchers, policymakers, and other important stakeholders to address cancer disparities in three Massachusetts communities: Boston, Lawrence, and Worcester. We conducted a cross-sectional, sociometric network analysis four years after the network was formed. A total of 38 of 55 members participated in the study (69% response rate. Over four years of collaboration, the number of intersectoral connections reported by members (intersectoral out-degree increased, as did the extent to which such connections were reported reciprocally (intersectoral reciprocity. We assessed relationships between these markers of intersectoral collaboration and three intermediate outcomes in the effort to reduce and eliminate cancer disparities: delivery of community activities, policy engagement, and grants/publications. We found a positive and statistically significant relationship between intersectoral out-degree and community activities and policy engagement (the relationship was borderline significant for grants/publications. We found a positive and statistically significant relationship between intersectoral reciprocity and community activities and grants/publications (the relationship was borderline significant for policy engagement. The study suggests that intersectoral connections may be important drivers of diverse intermediate outcomes in the effort to reduce and eliminate cancer disparities

Collaboration in radiography: A bibliometric analysis

International Nuclear Information System (INIS)

Snaith, Beverly

2012-01-01

Introduction: Increasing research activity is an aim of the radiography profession, but there is a lack of knowledge of how this can be achieved. Collaboration between clinical and academic centres as well as between individuals has increased productivity in other professions and has been suggested as a strategy for radiography. This bibliometric study maps the current contribution to the radiography evidence base through a single journal. Method: All articles published in Radiography from 1997 to 2011 were reviewed to identify collaboration trends together with article type and subject. Analysis also enabled comparison of research and publication patterns. Results: 706 articles were published by 1205 individual authors. 63.0% were written by UK based authors, although this varied over time. Over 80% of authors published only single article. Two thirds of articles were collaborative with an increase in clinical-academic co-authorship over the 15 years of the study. Although the majority of articles were diagnostic imaging based, the pattern mirrors the UK workforce profile. Clinicians, including clinical-academic co-authors, tend to write about clinical practice and roles, whereas academics write about a broader range of topics. Conclusions: There has been a growth in research and scholarship within the UK radiography journal and both clinical and academic radiographers are contributing to the evidence base through increased collaboration.

Value Systems Alignment Analysis in Collaborative Networked Organizations Management

Directory of Open Access Journals (Sweden)

Patricia Macedo

2017-11-01

Full Text Available The assessment of value systems alignment can play an important role in the formation and evolution of collaborative networks, contributing to reduce potential risks of collaboration. For this purpose, an assessment tool is proposed as part of a collaborative networks information system, supporting both the formation and evolution of long-term strategic alliances and goal-oriented networks. An implementation approach for value system alignment analysis is described, which is intended to assist managers in virtual and networked organizations management. The implementation of the assessment and analysis methods is supported by a set of software services integrated in the information system that supports the management of the networked organizations. A case study in the solar energy sector was conducted, and the data collected through this study allow us to confirm the practical applicability of the proposed methods and the software services.

Data set for reporting of ovary, fallopian tube and primary peritoneal carcinoma : recommendations from the International Collaboration on Cancer Reporting (ICCR)

NARCIS (Netherlands)

McCluggage, W. Glenn; Judge, Meagan J.; Clarke, Blaise A.; Davidson, Ben; Gilks, C. Blake; Hollema, Harry; Ledermann, Jonathan A.; Matias-Guiu, Xavier; Mikami, Yoshiki; Stewart, Colin J. R.; Vang, Russell; Hirschowitz, Lynn

A comprehensive pathological report is essential for optimal patient management, cancer staging and prognostication. In many countries, proforma reports are used but these vary in their content. The International Collaboration on Cancer Reporting (ICCR) is an alliance formed by the Royal College of

Measuring user similarity using electric circuit analysis: application to collaborative filtering.

Science.gov (United States)

Yang, Joonhyuk; Kim, Jinwook; Kim, Wonjoon; Kim, Young Hwan

2012-01-01

We propose a new technique of measuring user similarity in collaborative filtering using electric circuit analysis. Electric circuit analysis is used to measure the potential differences between nodes on an electric circuit. In this paper, by applying this method to transaction networks comprising users and items, i.e., user-item matrix, and by using the full information about the relationship structure of users in the perspective of item adoption, we overcome the limitations of one-to-one similarity calculation approach, such as the Pearson correlation, Tanimoto coefficient, and Hamming distance, in collaborative filtering. We found that electric circuit analysis can be successfully incorporated into recommender systems and has the potential to significantly enhance predictability, especially when combined with user-based collaborative filtering. We also propose four types of hybrid algorithms that combine the Pearson correlation method and electric circuit analysis. One of the algorithms exceeds the performance of the traditional collaborative filtering by 37.5% at most. This work opens new opportunities for interdisciplinary research between physics and computer science and the development of new recommendation systems.

Measuring user similarity using electric circuit analysis: application to collaborative filtering.

Directory of Open Access Journals (Sweden)

Joonhyuk Yang

Full Text Available We propose a new technique of measuring user similarity in collaborative filtering using electric circuit analysis. Electric circuit analysis is used to measure the potential differences between nodes on an electric circuit. In this paper, by applying this method to transaction networks comprising users and items, i.e., user-item matrix, and by using the full information about the relationship structure of users in the perspective of item adoption, we overcome the limitations of one-to-one similarity calculation approach, such as the Pearson correlation, Tanimoto coefficient, and Hamming distance, in collaborative filtering. We found that electric circuit analysis can be successfully incorporated into recommender systems and has the potential to significantly enhance predictability, especially when combined with user-based collaborative filtering. We also propose four types of hybrid algorithms that combine the Pearson correlation method and electric circuit analysis. One of the algorithms exceeds the performance of the traditional collaborative filtering by 37.5% at most. This work opens new opportunities for interdisciplinary research between physics and computer science and the development of new recommendation systems.

Collective Competence and Social Capital Analysis in Collaborative Networks

Directory of Open Access Journals (Sweden)

Janaina Macke

2010-06-01

Full Text Available The present paper addresses the issue of collective competence and social capital analysis for collaborative networks. The objective of the project is to understand how collaborative networks can be influenced considering the perspective of social capital and core competences. In this model we defend the emphasis on endogenous resources, once the technology is, in a general way, accessible to most of the companies and, therefore will not be a long term competitive advantage. The model shows that collaborative networks will be more competitive and successful if they invest in to core elements that are: organizational culture and people. Therefore, the model contributes for the researches in socio-organizational filed and provides a tool to evaluate collaborative networks.

Expanding public-private collaborations to enhance cancer drug development: a report of the Institute of Medicine's workshop series, "Implementing a National Cancer Clinical Trials System for the 21st Century".

Science.gov (United States)

Bertagnolli, Monica M; Canetta, Renzo; Nass, Sharyl J

2014-11-01

Since their inception in the 1950s, the National Cancer Institute-funded cancer cooperative groups have been important contributors to cancer clinical and translational research. In 2010, a committee appointed by the Institute of Medicine (IOM) of the National Academy of Sciences completed a consensus review on the status of the U.S. publicly funded cancer clinical trials system. This report identified a need to reinvigorate the cooperative groups and provided recommendations for improving their effectiveness. Follow-up workshops to monitor progress were conducted by the IOM's National Cancer Policy Forum and the American Society of Clinical Oncology (ASCO) in 2011 and 2013. One of the key recommendations of the IOM report was a call for greater collaboration among stakeholders in cancer research. In particular, more active engagement and better alignment of incentives among the cooperative groups, the National Cancer Institute, the U.S. Food and Drug Administration, and the biopharmaceutical industry were identified as essential to achieving the promise of oncology drug development. This review, based on presentations and discussion during the IOM-ASCO workshops, outlines the progress and remaining challenges of these collaborations. ©AlphaMed Press.

Principles and tools for collaborative entity-based intelligence analysis.

Science.gov (United States)

Bier, Eric A; Card, Stuart K; Bodnar, John W

2010-01-01

Software tools that make it easier for analysts to collaborate as a natural part of their work will lead to better analysis that is informed by more perspectives. We are interested to know if software tools can be designed that support collaboration even as they allow analysts to find documents and organize information (including evidence, schemas, and hypotheses). We have modified the Entity Workspace system, described previously, to test such designs. We have evaluated the resulting design in both a laboratory study and a study where it is situated with an analysis team. In both cases, effects on collaboration appear to be positive. Key aspects of the design include an evidence notebook optimized for organizing entities (rather than text characters), information structures that can be collapsed and expanded, visualization of evidence that emphasizes events and documents (rather than emphasizing the entity graph), and a notification system that finds entities of mutual interest to multiple analysts. Long-term tests suggest that this approach can support both top-down and bottom-up styles of analysis.

Applying an Activity System to Online Collaborative Group Work Analysis

Science.gov (United States)

Choi, Hyungshin; Kang, Myunghee

2010-01-01

This study determines whether an activity system provides a systematic framework to analyse collaborative group work. Using an activity system as a unit of analysis, the research examined learner behaviours, conflicting factors and facilitating factors while students engaged in collaborative work via asynchronous computer-mediated communication.…

Addressing the Growing Cancer Burden in the Wake of the AIDS Epidemic in Botswana: The BOTSOGO Collaborative Partnership

Energy Technology Data Exchange (ETDEWEB)

Efstathiou, Jason A., E-mail: jefstathiou@partners.org [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Bvochora-Nsingo, Memory [Gaborone Private Hospital, Gaborone (Botswana); Gierga, David P. [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Alphonse Kayembe, Mukendi K. [Department of Anatomical Pathology, National Health Laboratory, Gaborone (Botswana); Department of Pathology, University of Botswana School of Medicine, Gaborone (Botswana); Mmalane, Mompati [Botswana Harvard AIDS Institute, Gaborone (Botswana); Russell, Anthony H.; Paly, Jonathan J. [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Brown, Carolyn [Botswana Harvard AIDS Institute, Gaborone (Botswana); Musimar, Zola [Princess Marina Hospital, Gaborone (Botswana); Abramson, Jeremy S. [Department of Medical Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Bruce, Kathy A. [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Karumekayi, Talkmore [Gaborone Private Hospital, Gaborone (Botswana); Clayman, Rebecca [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Hodgeman, Ryan [Botswana Harvard AIDS Institute, Gaborone (Botswana); Kasese, Joseph [Bokamoso Private Hospital, Gaborone (Botswana); Makufa, Remigio [Gaborone Private Hospital, Gaborone (Botswana); Bigger, Elizabeth [Princess Marina Hospital, Gaborone (Botswana); Department of Medical Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); Suneja, Gita [Department of Radiation Oncology and Leonard David Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania (United States); Busse, Paul M. [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts (United States); and others

2014-07-01

Botswana has experienced a dramatic increase in HIV-related malignancies over the past decade. The BOTSOGO collaboration sought to establish a sustainable partnership with the Botswana oncology community to improve cancer care. This collaboration is anchored by regular tumor boards and on-site visits that have resulted in the introduction of new approaches to treatment and perceived improvements in care, providing a model for partnership between academic oncology centers and high-burden countries with limited resources.

Synthesizing community wisdom: A model for sharing cancer-related resources through social networking and collaborative partnerships.

Science.gov (United States)

Weiss, Jacob B; Lorenzi, Nancy M; Lorenzi, Nancy

2008-11-06

Despite the availability of community-based support services, cancer patients and survivors are not aware of many of these resources. Without access to community programs, cancer survivors are at risk for lower quality of care and lower quality of life. At the same time, non-profit community organizations lack access to advanced consumer informatics applications to effectively promote awareness of their services. In addition to the current models of print and online resource guides, new community-driven informatics approaches are needed to achieve the goal of comprehensive care for cancer survivors. We present the formulation of a novel model for synthesizing a local communitys collective wisdom of cancer-related resources through a combination of online social networking technologies and real-world collaborative partnerships. This approach can improve awareness of essential, but underutilized community resources.

Understanding Cancer Prognosis

Medline Plus

Full Text Available ... Partners & Collaborators Spotlight on Scientists Research Areas Cancer Biology Research Cancer Genomics Research Research on Causes of ... Collaborators Spotlight on Scientists NCI Research Areas Cancer Biology Cancer Genomics Causes of Cancer Diagnosis Prevention Screening & ...

Understanding Cancer Prognosis

Medline Plus

Full Text Available ... Laboratory for Cancer Research Partners & Collaborators Spotlight on Scientists Research Areas Cancer Biology Research Cancer Genomics Research ... Centers Frederick National Lab Partners & Collaborators Spotlight on Scientists NCI Research Areas Cancer Biology Cancer Genomics Causes ...

Understanding Cancer Prognosis

Medline Plus

Full Text Available ... Extramural Research Bioinformatics and Cancer NCI-Designated Cancer Centers Frederick National Laboratory for Cancer Research Partners & Collaborators ... Extramural Research Bioinformatics and Cancer NCI-Designated Cancer Centers Frederick National Lab Partners & Collaborators Spotlight on Scientists ...

Sino-Canadian collaborations in stem cell research: a scientometric analysis.

Directory of Open Access Journals (Sweden)

Sarah E Ali-Khan

Full Text Available International collaboration (IC is essential for the advance of stem cell research, a field characterized by marked asymmetries in knowledge and capacity between nations. China is emerging as a global leader in the stem cell field. However, knowledge on the extent and characteristics of IC in stem cell science, particularly China's collaboration with developed economies, is lacking.We provide a scientometric analysis of the China-Canada collaboration in stem cell research, placing this in the context of other leading producers in the field. We analyze stem cell research published from 2006 to 2010 from the Scopus database, using co-authored papers as a proxy for collaboration. We examine IC levels, collaboration preferences, scientific impact, the collaborating institutions in China and Canada, areas of mutual interest, and funding sources. Our analysis shows rapid global expansion of the field with 48% increase in papers from 2006 to 2010. China now ranks second globally after the United States. China has the lowest IC rate of countries examined, while Canada has one of the highest. China-Canada collaboration is rising steadily, more than doubling during 2006-2010. China-Canada collaboration enhances impact compared to papers authored solely by China-based researchers This difference remained significant even when comparing only papers published in English.While China is increasingly courted in IC by developed countries as a partner in stem cell research, it is clear that it has reached its status in the field largely through domestic publications. Nevertheless, IC enhances the impact of stem cell research in China, and in the field in general. This study establishes an objective baseline for comparison with future studies, setting the stage for in-depth exploration of the dynamics and genesis of IC in stem cell research.

Sino-Canadian collaborations in stem cell research: a scientometric analysis.

Science.gov (United States)

Ali-Khan, Sarah E; Ray, Monali; McMahon, Dominique S; Thorsteinsdóttir, Halla

2013-01-01

International collaboration (IC) is essential for the advance of stem cell research, a field characterized by marked asymmetries in knowledge and capacity between nations. China is emerging as a global leader in the stem cell field. However, knowledge on the extent and characteristics of IC in stem cell science, particularly China's collaboration with developed economies, is lacking. We provide a scientometric analysis of the China-Canada collaboration in stem cell research, placing this in the context of other leading producers in the field. We analyze stem cell research published from 2006 to 2010 from the Scopus database, using co-authored papers as a proxy for collaboration. We examine IC levels, collaboration preferences, scientific impact, the collaborating institutions in China and Canada, areas of mutual interest, and funding sources. Our analysis shows rapid global expansion of the field with 48% increase in papers from 2006 to 2010. China now ranks second globally after the United States. China has the lowest IC rate of countries examined, while Canada has one of the highest. China-Canada collaboration is rising steadily, more than doubling during 2006-2010. China-Canada collaboration enhances impact compared to papers authored solely by China-based researchers This difference remained significant even when comparing only papers published in English. While China is increasingly courted in IC by developed countries as a partner in stem cell research, it is clear that it has reached its status in the field largely through domestic publications. Nevertheless, IC enhances the impact of stem cell research in China, and in the field in general. This study establishes an objective baseline for comparison with future studies, setting the stage for in-depth exploration of the dynamics and genesis of IC in stem cell research.

Expanding Public-Private Collaborations to Enhance Cancer Drug Development: A Report of the Institute of Medicine’s Workshop Series, “Implementing a National Cancer Clinical Trials System for the 21st Century”

Science.gov (United States)

Canetta, Renzo; Nass, Sharyl J.

2014-01-01

Since their inception in the 1950s, the National Cancer Institute-funded cancer cooperative groups have been important contributors to cancer clinical and translational research. In 2010, a committee appointed by the Institute of Medicine (IOM) of the National Academy of Sciences completed a consensus review on the status of the U.S. publicly funded cancer clinical trials system. This report identified a need to reinvigorate the cooperative groups and provided recommendations for improving their effectiveness. Follow-up workshops to monitor progress were conducted by the IOM’s National Cancer Policy Forum and the American Society of Clinical Oncology (ASCO) in 2011 and 2013. One of the key recommendations of the IOM report was a call for greater collaboration among stakeholders in cancer research. In particular, more active engagement and better alignment of incentives among the cooperative groups, the National Cancer Institute, the U.S. Food and Drug Administration, and the biopharmaceutical industry were identified as essential to achieving the promise of oncology drug development. This review, based on presentations and discussion during the IOM-ASCO workshops, outlines the progress and remaining challenges of these collaborations. PMID:25326161

Evaluation of Remote Collaborative Manipulation for Scientific Data Analysis

OpenAIRE

Fleury , Cédric; Duval , Thierry; Gouranton , Valérie; Steed , Anthony

2012-01-01

International audience; In the context of scientific data analysis, we propose to compare a remote collaborative manipulation technique with a single user manipulation technique. The manipulation task consists in positioning a clipping plane in order to perform cross-sections of scientific data which show several points of interest located inside this data. For the remote collaborative manipulation, we have chosen to use the 3-hand manipulation technique proposed by Aguerreche et al. which is...

A Worldwide Collaboration to Harmonize Guidelines for the Long-Term Follow-Up of Childhood and Young Adult Cancer Survivors: A Report From the International Late Effects of Childhood Cancer Guideline Harmonization Group

NARCIS (Netherlands)

Kremer, Leontien C. M.; Mulder, Renée L.; Oeffinger, Kevin C.; Bhatia, Smita; Landier, Wendy; Levitt, Gill; Constine, Louis S.; Wallace, W. Hamish; Caron, Huib N.; Armenian, Saro H.; Skinner, Roderick; Hudson, Melissa M.

2013-01-01

Childhood and young adult cancer survivors should receive optimum care to reduce the consequences of late effects and improve quality of life. We can facilitate achieving this goal by international collaboration in guideline development. In 2010, the International Late Effects of Childhood Cancer

A Framework for Collaborative Networked Learning in Higher Education: Design & Analysis

Directory of Open Access Journals (Sweden)

Ghassan F. Issa

2014-06-01

Full Text Available This paper presents a comprehensive framework for building collaborative learning networks within higher educational institutions. This framework focuses on systems design and implementation issues in addition to a complete set of evaluation, and analysis tools. The objective of this project is to improve the standards of higher education in Jordan through the implementation of transparent, collaborative, innovative, and modern quality educational programs. The framework highlights the major steps required to plan, design, and implement collaborative learning systems. Several issues are discussed such as unification of courses and program of studies, using appropriate learning management system, software design development using Agile methodology, infrastructure design, access issues, proprietary data storage, and social network analysis (SNA techniques.

GaggleBridge: collaborative data analysis.

Science.gov (United States)

Battke, Florian; Symons, Stephan; Herbig, Alexander; Nieselt, Kay

2011-09-15

Tools aiding in collaborative data analysis are becoming ever more important as researchers work together over long distances. We present an extension to the Gaggle framework, which has been widely adopted as a tool to enable data exchange between different analysis programs on one computer. Our program, GaggleBridge, transparently extends this functionality to allow data exchange between Gaggle users at different geographic locations using network communication. GaggleBridge can automatically set up SSH tunnels to traverse firewalls while adding some security features to the Gaggle communication. GaggleBridge is available as open-source software implemented in the Java language at http://it.inf.uni-tuebingen.de/gb. florian.battke@uni-tuebingen.de Supplementary data are available at Bioinformatics online.

Collaborative Genomics Study Advances Precision Oncology

Science.gov (United States)

A collaborative study conducted by two Office of Cancer Genomics (OCG) initiatives highlights the importance of integrating structural and functional genomics programs to improve cancer therapies, and more specifically, contribute to precision oncology treatments for children.

Collaborative, Nondestructive Analysis of Contaminated Soil

Energy Technology Data Exchange (ETDEWEB)

Knight, K. B. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Dai, Z. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Davidson, L. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Eppich, G. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Lindvall, R. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Parsons-Davis, T. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Ramon, C. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Roberts, S. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Sharp, M. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Turin, H. J. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); LaMont, S. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Zidi, T. [Commissariat a l' Energie Atomique (COMENA), Gif-sur-Yvette (France); Belamri, M. [Commissariat a l' Energie Atomique (COMENA), Gif-sur-Yvette (France); Bounatiro, S. [Commissariat a l' Energie Atomique (COMENA), Gif-sur-Yvette (France); Benbouzid, S. [Commissariat a l' Energie Atomique (COMENA), Gif-sur-Yvette (France); Fellouh, A. S. [Commissariat a l' Energie Atomique (COMENA), Gif-sur-Yvette (France); Idir, T. [Commissariat a l' Energie Atomique (COMENA), Gif-sur-Yvette (France); Larbah, Y. [Commissariat a l' Energie Atomique (COMENA), Gif-sur-Yvette (France); Moulay, M. [Commissariat a l' Energie Atomique (COMENA), Gif-sur-Yvette (France); Noureddine, A. [Commissariat a l' Energie Atomique (COMENA), Gif-sur-Yvette (France); Rahal, B. [Commissariat a l' Energie Atomique (COMENA), Gif-sur-Yvette (France)

2017-12-14

This report summarizes a joint nondestructive analysis exercise that LLNL, LANL, and COMENA discussed through a collaborative meeting in July 2017. This work was performed as one part of a collaboration with Algeria under Action Sheet 7: “Technical Cooperation and Assistance in Nuclear Forensics”. The primary intent of this exercise was for US and Algerian participants to jointly share results of nondestructive analyses (NDA) of a contaminated soil sample provided by the Algerians and to discuss key observations and analytical approaches. While the two samples were analyzed blind at LLNL and LANL, the soil samples were revealed after the exercise to have a common origin, and to have originated as an IAEA soil sample (IAEA-326, Bojanowski et al., 2001) provided to COMENA as part of a previous exercise. Comparative analysis revealed common findings between the laboratories, and also emphasized the need for standardized operating procedures to improve inter-comparability and confidence in conclusions. Recommended handling practices in the presence of sample heterogeneities were also discussed. This exercise provided an opportunity to demonstrate nuclear forensics analytical capabilities at COMENA, LANL, and LLNL, and identified areas that could benefit from future technical exchanges. Plans were made for a follow-on joint exercise in 2018, involving destructive analyses of the CUP-2 uranium ore concentrate standard.

Towards a Design Theory for Collaborative Qualitative Data Analysis

DEFF Research Database (Denmark)

Nielsen, Peter Axel

2016-01-01

This position paper addresses how to develop a design theory to support the collaborative practice of qualitative data analysis. Qualitative researchers face several challenges in making sense of their empirical data and IS-support for this practice can be found in software applications...... such as NVivo, Atlas.ti, and DeDoose. While these software tools have utility and are valuable, they are also limiting – and they are particularly limiting researchers in their collaborative efforts with their co-researchers. In this paper, we investigate a design theory to extend it to support collaboration....... We use this as a stepping stone to discuss how to use a design theory to problematize existing applications and how to extend a design theory by abduction....

Collaborative human-machine nuclear non-proliferation analysis

Energy Technology Data Exchange (ETDEWEB)

Greitzer, F.L.; Badalamente, R.V.; Stewart, T.S.

1993-10-01

The purpose of this paper is to report on the results of a project investigating support concepts for the information treatment needs of the International Atomic Energy Agency (IAEA, also referred to as the Agency) and its attempts to strengthen international safeguards. The aim of the research was to define user/computer interface concepts and intelligent support features that will enhance the analyst`s access to voluminous and diverse information, the ability to recognize and evaluate uncertain data, and the capability to make decisions and recommendations. The objective was to explore techniques for enhancing safeguards analysis through application of (1) more effective user-computer interface designs and (2) advanced concepts involving human/system collaboration. The approach was to identify opportunities for human/system collaboration that would capitalize on human strengths and still accommodate human limitations. This paper documents the findings and describes a concept prototype, Proliferation Analysis Support System (PASS), developed for demonstration purposes. The research complements current and future efforts to enhance the information systems used by the IAEA, but has application elsewhere, as well.

Analysis and Assessment of Computer-Supported Collaborative Learning Conversations

NARCIS (Netherlands)

Trausan-Matu, Stefan

2008-01-01

Trausan-Matu, S. (2008). Analysis and Assessment of Computer-Supported Collaborative Learning Conversations. Workshop presentation at the symposium Learning networks for professional. November, 14, 2008, Heerlen, Nederland: Open Universiteit Nederland.

Ciência & Saúde Coletiva: scientific production analysis and collaborative research networks.

Science.gov (United States)

Conner, Norma; Provedel, Attilio; Maciel, Ethel Leonor Noia

2017-03-01

The purpose of this metric and descriptive study was to identify the most productive authors and their collaborative research networks from articles published in Ciência & Saúde Coletiva between, 2005, and 2014. Authors meeting the cutoff criteria of at least 10 articles were considered the most productive authors. VOSviewer and Network Workbench technologies were applied for visual representations of collaborative research networks involving the most productive authors in the period. Initial analysis recovered 2511 distinct articles, with 8920 total authors with an average of 3.55 authors per article. Author analysis revealed 6288 distinct authors, 24 of these authors were identified as the most productive. These 24 authors generated 287 articles with an average of 4.31 authors per article, and represented 8 separate collaborative partnerships, the largest of which had 14 authors, indicating a significant degree of collaboration among these authors. This analysis provides a visual representation of networks of knowledge development in public health and demonstrates the usefulness of VOSviewer and Network Workbench technologies in future research.

Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns.

Science.gov (United States)

Pepe, Alberto; Rodriguez, Marko A

2010-09-01

Many investigations of scientific collaboration are based on statistical analyses of large networks constructed from bibliographic repositories. These investigations often rely on a wealth of bibliographic data, but very little or no other information about the individuals in the network, and thus, fail to illustrate the broader social and academic landscape in which collaboration takes place. In this article, we perform an in-depth longitudinal analysis of a relatively small network of scientific collaboration (N = 291) constructed from the bibliographic record of a research centerin the development and application of wireless and sensor network technologies. We perform a preliminary analysis of selected structural properties of the network, computing its range, configuration and topology. We then support our preliminary statistical analysis with an in-depth temporal investigation of the assortative mixing of selected node characteristics, unveiling the researchers' propensity to collaborate preferentially with others with a similar academic profile. Our qualitative analysis of mixing patterns offers clues as to the nature of the scientific community being modeled in relation to its organizational, disciplinary, institutional, and international arrangements of collaboration.

Social Interaction and Collaboration among Oncology Nurses.

Science.gov (United States)

Moore, Jane; Prentice, Dawn; McQuestion, Maurene

2015-01-01

Collaboration is a complex process influenced by organizational, professional, interpersonal, and personal factors. Research has demonstrated that collaboration may also be influenced by social factors. Nurses spend much of their time working in collaborative teams, yet little is known about how they socially interact in practice. This qualitative case study explored nurse perceptions of social interaction in relation to collaboration. Data were collected using telephone interviews and documentary reviews from fourteen oncology nurses employed at one cancer center in Canada. Thematic analysis revealed two themes: knowing you is trusting you and formal and informal opportunities. Nurses reported that social interaction meant getting to know someone personally as well as professionally. Social interaction was enacted inside of work during breaks/meals and outside of work at planned events. Social interaction was facilitated by having a long-term current and/or previous professional and personal relationship. The barriers to social interaction included a lack of time to get to know each other, workload issues, and poor interpersonal skills. Findings suggest that social interaction is an important factor in the collaborative relationship among oncology nurses. Nurse leaders need to promote social interaction opportunities and facilitate educational sessions to improve social and interpersonal skills.

The International Cancer Benchmarking Partnership: an international collaboration to inform cancer policy in Australia, Canada, Denmark, Norway, Sweden and the United Kingdom.

Science.gov (United States)

Butler, John; Foot, Catherine; Bomb, Martine; Hiom, Sara; Coleman, Michel; Bryant, Heather; Vedsted, Peter; Hanson, Jane; Richards, Mike

2013-09-01

The International Cancer Benchmarking Partnership (ICBP) was initiated by the Department of Health in England to study international variation in cancer survival, and to inform policy to improve cancer survival. It is a research collaboration between twelve jurisdictions in six countries: Australia (New South Wales, Victoria), Canada (Alberta, British Columbia, Manitoba, Ontario), Denmark, Norway, Sweden, and the United Kingdom (England, Northern Ireland, Wales). Leadership is provided by policymakers, with academics, clinicians and cancer registries forming an international network to conduct the research. The project currently has five modules examining: (1) cancer survival, (2) population awareness and beliefs about cancer, (3) attitudes, behaviours and systems in primary care, (4) delays in diagnosis and treatment, and their causes, and (5) treatment, co-morbidities and other factors. These modules employ a range of methodologies including epidemiological and statistical analyses, surveys and clinical record audit. The first publications have already been used to inform and develop cancer policies in participating countries, and a further series of publications is under way. The module design, governance structure, funding arrangements and management approach to the partnership provide a case study in conducting international comparisons of health systems that are both academically and clinically robust and of immediate relevance to policymakers. Copyright © 2013 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Meta-analysis of individual registry results enhances international registry collaboration.

Science.gov (United States)

Paxton, Elizabeth W; Mohaddes, Maziar; Laaksonen, Inari; Lorimer, Michelle; Graves, Stephen E; Malchau, Henrik; Namba, Robert S; Kärrholm, John; Rolfson, Ola; Cafri, Guy

2018-03-28

Background and purpose - Although common in medical research, meta-analysis has not been widely adopted in registry collaborations. A meta-analytic approach in which each registry conducts a standardized analysis on its own data followed by a meta-analysis to calculate a weighted average of the estimates allows collaboration without sharing patient-level data. The value of meta-analysis as an alternative to individual patient data analysis is illustrated in this study by comparing the risk of revision of porous tantalum cups versus other uncemented cups in primary total hip arthroplasties from Sweden, Australia, and a US registry (2003-2015). Patients and methods - For both individual patient data analysis and meta-analysis approaches a Cox proportional hazard model was fit for time to revision, comparing porous tantalum (n = 23,201) with other uncemented cups (n = 128,321). Covariates included age, sex, diagnosis, head size, and stem fixation. In the meta-analysis approach, treatment effect size (i.e., Cox model hazard ratio) was calculated within each registry and a weighted average for the individual registries' estimates was calculated. Results - Patient-level data analysis and meta-analytic approaches yielded the same results with the porous tantalum cups having a higher risk of revision than other uncemented cups (HR (95% CI) 1.6 (1.4-1.7) and HR (95% CI) 1.5 (1.4-1.7), respectively). Adding the US cohort to the meta-analysis led to greater generalizability, increased precision of the treatment effect, and similar findings (HR (95% CI) 1.6 (1.4-1.7)) with increased risk of porous tantalum cups. Interpretation - The meta-analytic technique is a viable option to address privacy, security, and data ownership concerns allowing more expansive registry collaboration, greater generalizability, and increased precision of treatment effects.

Collaborative quality improvement.

Science.gov (United States)

Luckenbaugh, Amy N; Miller, David C; Ghani, Khurshid R

2017-07-01

Quality improvement collaboratives were developed in many medical and surgical disciplines with the goal of measuring and improving the quality of care provided to patients. The aim of this review is to provide an overview of surgical quality improvement collaboratives, and in particular those aimed at improving urological care. Quality improvement collaboratives collect high-quality data using standardized methodologies, and use the data to provide feedback to physicians and practices, and then implement processes to improve patient outcomes. The largest regional collaborative in urology is the Michigan Urological Surgery Improvement Collaborative (MUSIC). Recent efforts by this group have been focused at understanding variation in care, improving patient selection for treatment, reducing treatment morbidity and measuring and optimizing technical skill. The American Urological Association has also recently launched a national quality registry (AQUA), with an initial focus on prostate cancer care. By understanding factors that result in exemplary performance, quality improvement collaboratives are able to develop best practices around areas of care with high variation that have the potential to improve outcomes and reduce costs. These developments have been made possible by the unique model offered by the collaborative structure with the goal of improving patient care at a population level.

Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks

Science.gov (United States)

Ding, Ying

2010-01-01

Scientific collaboration and endorsement are well-established research topics which utilize three kinds of methods: survey/questionnaire, bibliometrics, and complex network analysis. This paper combines topic modeling and path-finding algorithms to determine whether productive authors tend to collaborate with or cite researchers with the same or different interests, and whether highly cited authors tend to collaborate with or cite each other. Taking information retrieval as a test field, the results show that productive authors tend to directly coauthor with and closely cite colleagues sharing the same research interests; they do not generally collaborate directly with colleagues having different research topics, but instead directly or indirectly cite them; and highly cited authors do not generally coauthor with each other, but closely cite each other. PMID:21344057

Management of recurrent and persistent metastatic lymph nodes in well-differentiated thyroid cancer: a multifactorial decision-making guide for the Thyroid Cancer Care Collaborative.

Science.gov (United States)

Urken, Mark L; Milas, Mira; Randolph, Gregory W; Tufano, Ralph; Bergman, Donald; Bernet, Victor; Brett, Elise M; Brierley, James D; Cobin, Rhoda; Doherty, Gerard; Klopper, Joshua; Lee, Stephanie; Machac, Josef; Mechanick, Jeffrey I; Orloff, Lisa A; Ross, Douglas; Smallridge, Robert C; Terris, David J; Clain, Jason B; Tuttle, Michael

2015-04-01

Well-differentiated thyroid cancer (WDTC) recurs in up to 30% of patients. Guidelines from the American Thyroid Association (ATA) and the National Comprehensive Cancer Network (NCCN) provide valuable parameters for the management of recurrent disease, but fail to guide the clinician as to the multitude of factors that should be taken into account. The Thyroid Cancer Care Collaborative (TCCC) is a web-based repository of a patient's clinical information. Ten clinical decision-making modules (CDMMs) process this information and display individualized treatment recommendations. We conducted a review of the literature and analysis of the management of patients with recurrent/persistent WDTC. Surgery remains the most common treatment in recurrent/persistent WDTC and can be performed with limited morbidity in experienced hands. However, careful observation may be the recommended course in select patients. Reoperation yields biochemical remission rates between 21% and 66%. There is a reported 1.2% incidence of permanent unexpected nerve paralysis and a 3.5% incidence of permanent hypoparathyroidism. External beam radiotherapy and percutaneous ethanol ablation have been reported as therapeutic alternatives. Radioactive iodine as a primary therapy has been reported previously for metastatic lymph nodes, but is currently advocated by the ATA as an adjuvant to surgery. The management of recurrent lymph nodes is a multifactorial decision and is best determined by a multidisciplinary team. The CDMMs allow for easy adoption of contemporary knowledge, making this information accessible to both patient and clinician. © 2014 Wiley Periodicals, Inc.

Analyzing collaboration networks and developmental patterns of nano-enabled drug delivery (NEDD for brain cancer

Directory of Open Access Journals (Sweden)

Ying Huang

2015-07-01

Full Text Available The rapid development of new and emerging science & technologies (NESTs brings unprecedented challenges, but also opportunities. In this paper, we use bibliometric and social network analyses, at country, institution, and individual levels, to explore the patterns of scientific networking for a key nano area – nano-enabled drug delivery (NEDD. NEDD has successfully been used clinically to modulate drug release and to target particular diseased tissues. The data for this research come from a global compilation of research publication information on NEDD directed at brain cancer. We derive a family of indicators that address multiple facets of research collaboration and knowledge transfer patterns. Results show that: (1 international cooperation is increasing, but networking characteristics change over time; (2 highly productive institutions also lead in influence, as measured by citation to their work, with American institutes leading; (3 research collaboration is dominated by local relationships, with interesting information available from authorship patterns that go well beyond journal impact factors. Results offer useful technical intelligence to help researchers identify potential collaborators and to help inform R&D management and science & innovation policy for such nanotechnologies.

An epidemiological study of cancer incidence and mortality among nuclear industry workers at Lucas Heights Science and Technology centre in collaboration with IARC

International Nuclear Information System (INIS)

Habib, R.R.; Kaldor, J.

1999-01-01

An epidemiological study is being undertaken at Lucas Heights Science and Technology Centre (LHSTC) where the only nuclear reactor in Australia has been in operation since 1958. The study is part of an international collaborative study coordinated by the International Agency for Research on Cancer (IARC), and has dual objectives, first to assess whether workers at LHSTC have had different levels of mortality or cancer incidence from the New South Wales and the Australian populations, and second, as part of the IARC study, to estimate as precisely as possible, through collaboration with IARC, the risk of contracting cancer from low-level, long-term exposure to ionising radiation. The research project is a retrospective cohort study based on records of employment and exposure to radiation kept at LHSTC since 1957. Electronic linkage of all the available dosimetry and employment information with national registers of cancer incidence and mortality is being undertaken for the cohort of LHSTC workers, to allow for a passive follow-up of more than 7000 workers employed from 1957 onwards

Coauthorship and institutional collaborations on cost-effectiveness analyses: a systematic network analysis.

Directory of Open Access Journals (Sweden)

Ferrán Catalá-López

Full Text Available BACKGROUND: Cost-Effectiveness Analysis (CEA has been promoted as an important research methodology for determining the efficiency of healthcare technology and guiding medical decision-making. Our aim was to characterize the collaborative patterns of CEA conducted over the past two decades in Spain. METHODS AND FINDINGS: A systematic analysis was carried out with the information obtained through an updated comprehensive literature review and from reports of health technology assessment agencies. We identified CEAs with outcomes expressed as a time-based summary measure of population health (e.g. quality-adjusted life-years or disability-adjusted life-years, conducted in Spain and published between 1989 and 2011. Networks of coauthorship and institutional collaboration were produced using PAJEK software. One-hundred and thirty-one papers were analyzed, in which 526 authors and 230 institutions participated. The overall signatures per paper index was 5.4. Six major groups (one with 14 members, three with 7 members and two with 6 members were identified. The most prolific authors were generally affiliated with the private-for-profit sector (e.g. consulting firms and the pharmaceutical industry. The private-for-profit sector maintains profuse collaborative networks including public hospitals and academia. Collaboration within the public sector (e.g. healthcare administration and primary care was weak and fragmented. CONCLUSIONS: This empirical analysis reflects critical practices among collaborative networks that contributed substantially to the production of CEA, raises challenges for redesigning future policies and provides a framework for similar analyses in other regions.

A SWOT Analysis of Collaborative Strategies between Engineering Universities and Industry in Pakistan

Directory of Open Access Journals (Sweden)

Zaki Rashidi

2014-10-01

Full Text Available Collaboration among academia and industry is a long aspiring vision of every country to promote innovation and commercialization. A deeper analysis of collaborative efforts among this triad may reveal significant aspects to look for well informed decision making. The purpose of this research is to conduct the SWOT (Strengths, Weaknesses, Opportunities, and Threats analysis of collaboration in engineering education, research and practices in Pakistan. The study attempts to identify strengths and weaknesses of the current collaborative strategies; opportunities for establishing strong and rewarding relationships, and threats that may hinder development of this association. It further provides practical schema to establish productive association between the two partners through creative leadership, effective strategic partnership, and systematic modus operandi to way forward with implications for academics, researchers, and industry. The research is qualitative in nature, based on interpretivist approach. The data is collected by using focus group and semi-structured interviews of experts in industry and academia; primary data obtained by these tools is analyzed by using thematic analysis through open and axial coding. The study identifies the barriers in collaborative efforts, and delineates the roles of industry and academia to overcome these barriers along with SWOT matrix in the context of Pakistan

Modeling and Capturing Users’ Actions in CSCL Systems for Collaboration Analysis Purposes

Directory of Open Access Journals (Sweden)

Manuel Ortega

2009-03-01

Full Text Available A significant number of CSCL (Computer-Supported Collaborative Learning environments support the learning of groups of students enabling their collaboration in solving problems. These collaborative environments usually need additional computational support to allow the automatic processing of both the actions carried out by the students and the end solution with the aim of studying the learning process and the validity of the solution proposed to the problem. This process, known as Collaboration and Interaction Analysis, is typically carried out in three phases: observation, abstraction and intervention. In this paper, we propose a methodological approach for the design of mechanisms for the observation phase. This approach provides a set of procedures enabling developers to design observation systems in CSCL environments that capture and model all the information required for comprehensive analyses of the collaboration process and the resulting solution to the problem. This methodological approach is put into practice by means of its use in the design of an observation system in the SPACE-DESIGN (SPecification and Automatic Construction of collaborative Environments of DESIGN collaborative environment.

An exploratory analysis of network characteristics and quality of interactions among public health collaboratives

Directory of Open Access Journals (Sweden)

Danielle M. Varda

2012-06-01

Full Text Available While the benefits of collaboration have become widely accepted and the practice of collaboration is growing within the public health system, a paucity of research exists that examines factors and mechanisms related to effective collaboration between public health and their partner organizations. The purpose of this paper is to address this gap by exploring the structural and organizational characteristics of public health collaboratives. Design and Methods. Using both social network analysis and traditional statistical methods, we conduct an exploratory secondary data analysis of 11 public health collaboratives chosen from across the United States. All collaboratives are part of the PARTNER (www.partnertool.net database. We analyze data to identify relational patterns by exploring the structure (the way that organizations connect and exchange relationships, in relation to perceptions of value and trust, explanations for varying reports of success, and factors related to outcomes. We describe the characteristics of the collaboratives, types of resource contributions, outcomes of the collaboratives, perceptions of success, and reasons for success. We found high variation and significant differences within and between these collaboratives including perceptions of success. There were significant relationships among various factors such as resource contributions, reasons cited for success, and trust and value perceived by organizations. We find that although the unique structure of each collaborative makes it challenging to identify a specific set of factors to determine when a collaborative will be successful, the organizational characteristics and interorganizational dynamics do appear to impact outcomes. We recommend a quality improvement process that suggests matching assessment to goals and developing action steps for performance improvement.

Beyond Needs Analysis: Soft Systems Methodology for Meaningful Collaboration in EAP Course Design

Science.gov (United States)

Tajino, Akira; James, Robert; Kijima, Kyoichi

2005-01-01

Designing an EAP course requires collaboration among various concerned stakeholders, including students, subject teachers, institutional administrators and EAP teachers themselves. While needs analysis is often considered fundamental to EAP, alternative research methodologies may be required to facilitate meaningful collaboration between these…

Sensitivity analysis of synergistic collaborative scenarios towards sustainable nuclear energy systems

International Nuclear Information System (INIS)

Fesenko, G.; Kuznetsov, V.; Poplavskaya, E.

2013-01-01

The paper presents results of the study on the role of collaboration among countries towards sustainable global nuclear energy systems. The study explores various market shares for nuclear fuel cycle services, possible scale of collaboration among countries and assesses benefits and issues relevant for collaboration between suppliers and users of nuclear fuel cycle services. The approach used in the study is based on a heterogeneous world model with grouping of the non-personified nuclear energy countries according to different nuclear fuel cycle policies. The methodology applied in the analysis allocates a fraction of future global nuclear energy generation to each of such country-groups as a function of time. The sensitivity studies performed show the impacts of the group shares on the scope of collaboration among countries and on the resulting possible reactor mix and nuclear fuel cycle infrastructure versus time. The study quantitatively demonstrates that the synergistic approach to nuclear fuel cycle has a significant potential for offering a win-win collaborative strategy to both, technology holders and technology users on their joint way to future sustainable nuclear energy systems. The study also highlights possible issues on such a collaborative way. (authors)

An in-depth longitudinal analysis of mixing patterns in a small scientific collaboration network

Energy Technology Data Exchange (ETDEWEB)

Rodriguez, Marko A [Los Alamos National Laboratory; Pepe, Alberto [UCLA

2009-01-01

Many investigations of scientific collaboration are based on large-scale statistical analyses of networks constructed from bibliographic repositories. These investigations often rely on a wealth of bibliographic data, but very little or no other information about the individuals in the network, and thus, fail to illustate the broader social and academic landscape in which collaboration takes place. In this article, we perform an in-depth longitudinal analysis of a small-scale network of scientific collaboration (N = 291) constructed from the bibliographic record of a research center involved in the development and application of sensor network technologies. We perform a preliminary analysis of selected structural properties of the network, computing its range, configuration and topology. We then support our preliminary statistical analysis with an in-depth temporal investigation of the assortativity mixing of these node characteristics: academic department, affiliation, position, and country of origin of the individuals in the network. Our qualitative analysis of mixing patterns offers clues as to the nature of the scientific community being modeled in relation to its organizational, disciplinary, institutional, and international arrangements of collaboration.

Analysis of Content Shared in Online Cancer Communities: Systematic Review.

Science.gov (United States)

van Eenbergen, Mies C; van de Poll-Franse, Lonneke V; Krahmer, Emiel; Verberne, Suzan; Mols, Floortje

2018-04-03

aspects, and 6 studies focused on emotional changes. In the future, increasing amounts of user-generated content will become available on the internet. The results of content analysis, especially of the larger studies, give detailed insights into patients' concerns and worries, which can then be used to improve cancer care. To make the results of such analyses as usable as possible, automatic content analysis methods will need to be improved through interdisciplinary collaboration. ©Mies C van Eenbergen, Lonneke V van de Poll-Franse, Emiel Krahmer, Suzan Verberne, Floortje Mols. Originally published in JMIR Cancer (http://cancer.jmir.org), 03.04.2018.

An Exploratory Analysis of Network Characteristics and Quality of Interactions among Public Health Collaboratives.

Science.gov (United States)

Varda, Danielle M; Retrum, Jessica H

2012-06-15

While the benefits of collaboration have become widely accepted and the practice of collaboration is growing within the public health system, a paucity of research exists that examines factors and mechanisms related to effective collaboration between public health and their partner organizations. The purpose of this paper is to address this gap by exploring the structural and organizational characteristics of public health collaboratives. Design and Methods. Using both social network analysis and traditional statistical methods, we conduct an exploratory secondary data analysis of 11 public health collaboratives chosen from across the United States. All collaboratives are part of the PARTNER (www.partnertool.net) database. We analyze data to identify relational patterns by exploring the structure (the way that organizations connect and exchange relationships), in relation to perceptions of value and trust, explanations for varying reports of success, and factors related to outcomes. We describe the characteristics of the collaboratives, types of resource contributions, outcomes of the collaboratives, perceptions of success, and reasons for success. We found high variation and significant differences within and between these collaboratives including perceptions of success. There were significant relationships among various factors such as resource contributions, reasons cited for success, and trust and value perceived by organizations. We find that although the unique structure of each collaborative makes it challenging to identify a specific set of factors to determine when a collaborative will be successful, the organizational characteristics and interorganizational dynamics do appear to impact outcomes. We recommend a quality improvement process that suggests matching assessment to goals and developing action steps for performance improvement. the authors would like to thank the Robert Wood Johnson Foundation's Public Health Program for funding for this research.

Data set for reporting of ovary, fallopian tube and primary peritoneal carcinoma: recommendations from the International Collaboration on Cancer Reporting (ICCR).

Science.gov (United States)

McCluggage, W Glenn; Judge, Meagan J; Clarke, Blaise A; Davidson, Ben; Gilks, C Blake; Hollema, Harry; Ledermann, Jonathan A; Matias-Guiu, Xavier; Mikami, Yoshiki; Stewart, Colin J R; Vang, Russell; Hirschowitz, Lynn

2015-08-01

A comprehensive pathological report is essential for optimal patient management, cancer staging and prognostication. In many countries, proforma reports are used but these vary in their content. The International Collaboration on Cancer Reporting (ICCR) is an alliance formed by the Royal College of Pathologists of Australasia, the Royal College of Pathologists of the United Kingdom, the College of American Pathologists, the Canadian Partnership Against Cancer and the European Society of Pathology, with the aim of developing an evidence-based reporting data set for each cancer site. This will reduce the global burden of cancer data set development and reduplication of effort by different international institutions that commission, publish and maintain standardised cancer reporting data sets. The resultant standardisation of cancer reporting will benefit not only those countries directly involved in the collaboration but also others not in a position to develop their own data sets. We describe the development of a cancer data set by the ICCR expert panel for the reporting of primary ovarian, fallopian tube and peritoneal carcinoma and present the 'required' and 'recommended' elements to be included in the report with an explanatory commentary. This data set encompasses the recent International Federation of Obstetricians and Gynaecologists staging system for these neoplasms and the updated World Health Organisation Classification of Tumours of the Female Reproductive Organs. The data set also addresses issues about site assignment of the primary tumour in high-grade serous carcinomas and proposes a scoring system for the assessment of tumour response to neoadjuvant chemotherapy. The widespread implementation of this data set will facilitate consistent and accurate data collection, comparison of epidemiological and pathological parameters between different populations, facilitate research and hopefully will result in improved patient management.

Radon in homes and risk of lung cancer: 13 collaborative analyses of individual data from European case-control studies

International Nuclear Information System (INIS)

Darby, S.; Hill, D.; Doll, R.; Auvinen, A.; Barros Dios, J.M.; Ruano Ravina, A.; Baysson, H.; Tirmarche, M.; Bochicchio, F.; Deo, H.; Falk, R.; Forastiere, F.; Hakama, M.; Heid, I.; Schaffrath Rosario, A.; Wichmann, H.E.; Kreienbrock, L.; Kreuzer, M.; Lagarde, F.; Pershagen, G.; Makelainen, I.; Ruosteenoja, E.; Muirhead, C.; Oberaigner, W.; TomaBek, L.; Whitley, E.

2007-01-01

Objective: To determine the risk of lung cancer associated with exposure at home to the radioactive disintegration products of naturally occurring radon gas. Design: Collaborative analysis of individual data from 13 case-control studies of residential radon and lung cancer. Setting: Nine European countries. Subjects: 7148 cases of lung cancer and 14 208 controls. Main outcome measures: Relative risks of lung cancer and radon gas concentrations in homes inhabited during the previous 5-34 years measured in becquerels (radon disintegrations per second) per cubic metre (Bq/m3) of household air. Results: The mean measured radon concentration in homes of people in the control group was 97 Bq/m3, with 11% measuring > 200 and 4% measuring > 400 Bq/m3. For cases of lung cancer the mean concentration was 104 Bq/m3. The risk of lung cancer increased by 8.4% (95% confidence interval 3.0% to 15.8%) per 100 Bq/m3 increase in measured radon (P=0.0007). This corresponds to an increase of 16% (5% to 31%) per 100 Bq/m3 increase in usual radon- that is, after correction for the dilution caused by random uncertainties in measuring radon concentrations. The dose-response relation seemed to be linear with no threshold and remained significant (P = 0.04) in analyses limited to individuals from homes with measured radon < 200 Bq/m3. The proportionate excess risk did not differ significantly with study, age, sex, or smoking. In the absence of other causes of death, the absolute risks of lung cancer by age 75 years at usual radon concentrations of 0, 100, and 400 Bq/m3 would be about 0.4%, 0.5%, and 0.7%, respectively, for lifelong non-smokers, and about 25 times greater (10%, 12%, and 16%) for cigarette smokers. Conclusions: Collectively, though not separately, these studies show appreciable hazards from residential radon, particularly for smokers and recent ex-smokers, and indicate that it is responsible for about 2% of all deaths from cancer in Europe. (author)

Using Social Network Analysis to Evaluate Community Capacity Building of a Regional Community Cancer Network

Science.gov (United States)

Luque, John; Tyson, Dinorah Martinez; Lee, Ji-Hyun; Gwede, Clement; Vadaparampil, Susan; Noel-Thomas, Shalewa; Meade, Cathy

2010-01-01

The Tampa Bay Community Cancer Network (TBCCN) is one of 25 Community Network Programs funded by the National Cancer Institute's (NCI's) Center to Reduce Cancer Health Disparities with the objectives to create a collaborative infrastructure of academic and community based organizations and to develop effective and sustainable interventions to…

Collaboration: a SWOT analysis of the process of conducting a review of nursing workforce policies in five European countries.

Science.gov (United States)

Uhrenfeldt, Lisbeth; Lakanmaa, Riitta-Liisa; Flinkman, Mervi; Basto, Marta Lima; Attree, Moira

2014-05-01

This paper critically reviews the literature on international collaboration and analyses the collaborative process involved in producing a nursing workforce policy analysis. Collaboration is increasingly promoted as a means of solving shared problems and achieving common goals; however, collaboration creates its own opportunities and challenges. Evidence about the collaboration process, its outcomes and critical success factors is lacking. A literature review and content analysis of data collected from six participants (from five European countries) members of the European Academy of Nursing Science Scholar Collaborative Workforce Workgroup, using a SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis template. Two major factors affecting scholarly collaboration were identified: Facilitators, which incorporated personal attributes and enabling contexts/mechanisms, including individual commitment, responsibility and teamwork, facilitative supportive structures and processes. The second, Barriers, incorporated unmet needs for funding; time; communication and impeding contexts/mechanisms, including workload and insufficient support/mentorship. The literature review identified a low level of evidence on collaboration processes, outcomes, opportunities and challenges. The SWOT analysis identified critical success factors, planning strategies and resources of effective international collaboration. Collaboration is an important concept for management. Evidence-based knowledge of the critical success factors facilitating and impeding collaboration could help managers make collaboration more effective. © 2012 John Wiley & Sons Ltd.

Brain Tumor Trials Collaborative | Center for Cancer Research

Science.gov (United States)

Brain Tumor Trials Collaborative In Pursuit of a Cure The mission of the BTTC is to develop and perform state-of-the-art clinical trials in a collaborative and collegial environment, advancing treatments for patients with brain tumors, merging good scientific method with concern for patient well-being and outcome.

Acquisition Path Analysis as a Collaborative Activity

International Nuclear Information System (INIS)

Nakao, A.; Grundule, R.; Gushchyn, K.; El Gebaly, A.; Higgy, R.; Tsvetkov, I.; Mandl, W.

2015-01-01

In the International Atomic Energy Agency, acquisition path analysis (APA) is indispensable to safeguards implementation. It is an integral part of both State evaluation process and the development of State level safeguards approaches, all performed through ongoing collaborative analysis of all available safeguards relevant information by State evaluation groups (SEG) with participation of other contributors, as required. To perform comprehensive State evaluation, to develop and revise State-level safeguards approaches, and to prepare annual implementation plans, the SEG in its collaborative analysis follows accepted safeguards methodology and guidance. In particular, the guide ''Performing Acquisition Path Analysis for the Development of a State-level Safeguards Approach for a State with a CSA'' is used. This guide identifies four major steps of the APA process: 1. Consolidating information about the State's past, present and planned nuclear fuel cycle-related capabilities and infrastructure; 2. Identifying and visually presenting technically plausible acquisition paths for the State; 3. Assessing acquisition path steps (State's technical capabilities and possible actions) along the identified acquisition paths; and 4. Assessing the time needed to accomplish each identified technically plausible acquisition path for the State. The paper reports on SEG members' and other contributors' experience with APA when following the above steps, including the identification of plausible acquisition pathways, estimation of time frames for all identified steps and determination of the time needed to accomplish each acquisition path. The difficulties that the SEG encountered during the process of performing the APA are also addressed. Feedback in the form of practical suggestions for improving the clarity of the acquisition path step assessment forms and a proposal for software support are also included. (author)

Collaborative partnership and the social value of clinical research: a qualitative secondary analysis.

Science.gov (United States)

Nurmi, Sanna-Maria; Halkoaho, Arja; Kangasniemi, Mari; Pietilä, Anna-Maija

2017-10-25

Protecting human subjects from being exploited is one of the main ethical challenges for clinical research. However, there is also a responsibility to protect and respect the communities who are hosting the research. Recently, attention has focused on the most efficient way of carrying out clinical research, so that it benefits society by providing valuable research while simultaneously protecting and respecting the human subjects and the communities where the research is conducted. Collaboration between partners plays an important role and that is why we carried out a study to describe how collaborative partnership and social value are emerging in clinical research. A supra-analysis design for qualitative descriptive secondary analysis was employed to consider a novel research question that pertained to nurse leaders' perceptions of ethical recruitment in clinical research and the ethics-related aspects of clinical research from the perspective of administrative staff. The data consisted of two separate pre-existing datasets, comprising 451 pages from 41 interviews, and we considered the research question by using deductive-inductive content analysis with NVivo software. A deductive analysis matrix was generated on the basis of two requirements, namely collaborative partnership and social value, as presented in An Ethical Framework for Biomedical Research by Emanuel et al. The findings showed that collaborative partnership was a cornerstone for ethical clinical research and ways to foster inter-partner collaboration were indicated, such as supporting mutual respect and equality, shared goals and clearly defined roles and responsibilities. In addition, the social value of clinical research was an important precondition for ethical clinical research and its realisation required the research partners to demonstrate collaboration and shared responsibility during the research process. However, concerns emerged that the multidimensional meaning of clinical research for

Help Seeking in Online Collaborative Groupwork: A Multilevel Analysis

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Du, Jianxia; Xu, Jianzhong; Fan, Xitao

2015-01-01

This study examined predictive models for students' help seeking in the context of online collaborative groupwork. Results from multilevel analysis revealed that most of the variance in help seeking was at the individual student level, and multiple variables at the individual level were predictive of help-seeking behaviour. Help seeking was…

Nanotechnology Laboratory Collaborates with Army to Develop Botulism Vaccine | FNLCR

Science.gov (United States)

The Nanotechnology Characterization Laboratory (NCL) is collaborating with the Army to develop a candidate vaccine against botulism. Under a collaboration agreement between the National Cancer Institute and the U.S. Army Medical Research Institute of

Persuading Collaboration: Analysing Persuasion in Online Collaboration Projects

DEFF Research Database (Denmark)

McHugh, Ronan; Larsen, Birger

2010-01-01

In this paper we propose that online collaborative production sites can be fruitfully analysed in terms of the general theoretical framework of Persuasive Design. OpenStreetMap and The Pirate Bay are used as examples of collaborative production sites. Results of a quantitative analysis of persuas...

Gearbox Reliability Collaborative Gearbox 1 Failure Analysis Report: December 2010 - January 2011

Energy Technology Data Exchange (ETDEWEB)

Errichello, R.; Muller, J.

2012-02-01

Unintended gearbox failures have a significant impact on the cost of wind farm operations. In 2007, NREL initiated the Gearbox Reliability Collaborative (GRC). The project combines analysis, field testing, dynamometer testing, condition monitoring, and the development and population of a gearbox failure database in a multi-pronged approach to determine why wind turbine gearboxes do not achieve their expected design life. The collaborative of manufacturers, owners, researchers, and consultants focuses on gearbox testing and modeling and the development of a gearbox failure database. Collaborative members also investigate gearbox condition monitoring techniques. Data gained from the GRC will enable designers, developers, and manufacturers to improve gearbox designs and testing standards and create more robust modeling tools. GRC project essentials include the development of two identical, heavily instrumented representative gearbox designs. Knowledge gained from the field and dynamometer tests conducted on these gearboxes builds an understanding of how the selected loads and events translate into bearing and gear response. This report contains the analysis of the first gearbox design.

Petroleum R and D collaboration

International Nuclear Information System (INIS)

Kerr, R.

1995-01-01

Conditions for collaboration in research and development (R and D) were developed based on a decision-tree analysis. A key requirement for effective R and D collaboration was stated to be the company's ability to internalize a significant portion of the benefits. This was seen as the principal factor that determined good collaborators and good industries for collaboration. It was noted that collaboration benefits can also be improved through R and D exchanges in collaborative associations. Simple decision-tree analysis tended to understate the advantages of collaboration. Portfolio risk reduction and inter-project synergies were significant additional advantages. Collaborative R and D was said to be the preferred route for the development of a broad base of petroleum-related technologies. 5 tabs., 2 figs

Scientific Collaboration in Chinese Nursing Research: A Social Network Analysis Study.

Science.gov (United States)

Hou, Xiao-Ni; Hao, Yu-Fang; Cao, Jing; She, Yan-Chao; Duan, Hong-Mei

2016-01-01

Collaboration has become very important in research and in technological progress. Coauthorship networks in different fields have been intensively studied as an important type of collaboration in recent years. Yet there are few published reports about collaboration in the field of nursing. This article aimed to reveal the status and identify the key features of collaboration in the field of nursing in China. Using data from the top 10 nursing journals in China from 2003 to 2013, we constructed a nursing scientific coauthorship network using social network analysis. We found that coauthorship was a common phenomenon in the Chinese nursing field. A coauthorship network with 228 subnetworks formed by 1428 nodes was constructed. The network was relatively loose, and most subnetworks were of small scales. Scholars from Shanghai and from military medical system were at the center of the Chinese nursing scientific coauthorship network. We identified the authors' positions and influences according to the research output and centralities of each author. We also analyzed the microstructure and the evolution over time of the maximum subnetwork.

Distributed analysis with PROOF in ATLAS collaboration

International Nuclear Information System (INIS)

Panitkin, S Y; Ernst, M; Ito, H; Maeno, T; Majewski, S; Rind, O; Tarrade, F; Wenaus, T; Ye, S; Benjamin, D; Montoya, G Carillo; Guan, W; Mellado, B; Xu, N; Cranmer, K; Shibata, A

2010-01-01

The Parallel ROOT Facility - PROOF is a distributed analysis system which allows to exploit inherent event level parallelism of high energy physics data. PROOF can be configured to work with centralized storage systems, but it is especially effective together with distributed local storage systems - like Xrootd, when data are distributed over computing nodes. It works efficiently on different types of hardware and scales well from a multi-core laptop to large computing farms. From that point of view it is well suited for both large central analysis facilities and Tier 3 type analysis farms. PROOF can be used in interactive or batch like regimes. The interactive regime allows the user to work with typically distributed data from the ROOT command prompt and get a real time feedback on analysis progress and intermediate results. We will discuss our experience with PROOF in the context of ATLAS Collaboration distributed analysis. In particular we will discuss PROOF performance in various analysis scenarios and in multi-user, multi-session environments. We will also describe PROOF integration with the ATLAS distributed data management system and prospects of running PROOF on geographically distributed analysis farms.

Distributed analysis with PROOF in ATLAS collaboration

Energy Technology Data Exchange (ETDEWEB)

Panitkin, S Y; Ernst, M; Ito, H; Maeno, T; Majewski, S; Rind, O; Tarrade, F; Wenaus, T; Ye, S [Brookhaven National Laboratory, Upton, NY 11973 (United States); Benjamin, D [Duke University, Durham, NC 27708 (United States); Montoya, G Carillo; Guan, W; Mellado, B; Xu, N [University of Wisconsin-Madison, Madison, WI 53706 (United States); Cranmer, K; Shibata, A [New York University, New York, NY 10003 (United States)

2010-04-01

The Parallel ROOT Facility - PROOF is a distributed analysis system which allows to exploit inherent event level parallelism of high energy physics data. PROOF can be configured to work with centralized storage systems, but it is especially effective together with distributed local storage systems - like Xrootd, when data are distributed over computing nodes. It works efficiently on different types of hardware and scales well from a multi-core laptop to large computing farms. From that point of view it is well suited for both large central analysis facilities and Tier 3 type analysis farms. PROOF can be used in interactive or batch like regimes. The interactive regime allows the user to work with typically distributed data from the ROOT command prompt and get a real time feedback on analysis progress and intermediate results. We will discuss our experience with PROOF in the context of ATLAS Collaboration distributed analysis. In particular we will discuss PROOF performance in various analysis scenarios and in multi-user, multi-session environments. We will also describe PROOF integration with the ATLAS distributed data management system and prospects of running PROOF on geographically distributed analysis farms.

The Effects of Mobile-Computer-Supported Collaborative Learning: Meta-Analysis and Critical Synthesis.

Science.gov (United States)

Sung, Yao-Ting; Yang, Je-Ming; Lee, Han-Yueh

2017-08-01

One of the trends in collaborative learning is using mobile devices for supporting the process and products of collaboration, which has been forming the field of mobile-computer-supported collaborative learning (mCSCL). Although mobile devices have become valuable collaborative learning tools, evaluative evidence for their substantial contributions to collaborative learning is still scarce. The present meta-analysis, which included 48 peer-reviewed journal articles and doctoral dissertations written over a 16-year period (2000-2015) involving 5,294 participants, revealed that mCSCL has produced meaningful improvements for collaborative learning, with an overall mean effect size of 0.516. Moderator variables, such as domain subject, group size, teaching method, intervention duration, and reward method were related to different effect sizes. The results provided implications for future research and practice, such as suggestions on how to appropriately use the functionalities of mobile devices, how to best leverage mCSCL through effective group learning mechanisms, and what outcome variables should be included in future studies to fully elucidate the process and products of mCSCL.

Gender and Bladder Cancer: A Collaborative Review of Etiology, Biology, and Outcomes.

Science.gov (United States)

Dobruch, Jakub; Daneshmand, Siamak; Fisch, Margit; Lotan, Yair; Noon, Aidan P; Resnick, Matthew J; Shariat, Shahrokh F; Zlotta, Alexandre R; Boorjian, Stephen A

2016-02-01

The incidence of bladder cancer is three to four times greater in men than in women. However, women are diagnosed with more advanced disease at presentation and have less favorable outcomes after treatment. To review the literature on potential biologic mechanisms underlying differential gender risk for bladder cancer, and evidence regarding gender disparities in bladder cancer presentation, management, and outcomes. A literature search of English-language publications that included an analysis of the association of gender with bladder cancer was performed using Pubmed. Ninety-seven articles were selected for analysis with the consensus of all authors. It has been shown that the gender difference in bladder cancer incidence is independent of differences in exposure risk, including smoking status. Potential molecular mechanisms include disparate metabolism of carcinogens by hepatic enzymes between men and women, resulting in differential exposure of the urothelium to carcinogens. In addition, the activity of the sex steroid hormone pathway may play a role in bladder cancer development, with demonstration that both androgens and estrogens have biologic effects in bladder cancer in vitro and in vivo. Importantly, gender differences exist in the timeliness and completeness of hematuria evaluation, with women experiencing a significantly greater delay in urologic referral and undergoing guideline-concordant imaging less frequently. Correspondingly, women have more advanced tumors at the time of bladder cancer diagnosis. Interestingly, higher cancer-specific mortality has been noted among women even after adjusting for tumor stage and treatment modality. Numerous potential biologic and epidemiologic factors probably underlie the gender differences observed for bladder cancer incidence, stage at diagnosis, and outcomes. Continued evaluation to define clinical applications for manipulation of the sex steroid pathway and to improve the standardization of hematuria

International Collaboration Enhances Cancer Screening Efforts

Science.gov (United States)

CGH is working with the International Agency for Research on CancerExit Disclaimer (IARC) and the Pan American Health Organization (PAHO) on the ESTAMPA Study, a multi-centric study of cervical cancer screening and triage with HPV testing.

Strengthening cancer biology research, prevention, and control while reducing cancer disparities: student perceptions of a collaborative master's degree program in cancer biology, preventions, and control.

Science.gov (United States)

Jillson, I A; Cousin, C E; Blancato, J K

2013-09-01

This article provides the findings of a survey of previous and current students in the UDC/GU-LCCC master's degree program. This master's degree program, Cancer Biology, Prevention, and Control is administered and taught jointly by faculty of a Minority Serving Institution, the University of the District of Columbia, and the Lombardi Comprehensive Cancer Center to incorporate the strengths of a community-based school with a research intensive medical center. The program was initiated in 2008 through agreements with both University administrations and funding from the National Cancer Institute. The master's degree program is 36 credits with a focus on coursework in biostatistics, epidemiology, tumor biology, cancer prevention, medical ethics, and cancer outreach program design. For two semesters during the second year, students work full-time with a faculty person on a laboratory or outreach project that is a requirement for graduation. Students are supported and encouraged to transition to a doctoral degree after they obtain the master's and many of them are currently in doctorate programs. Since the inception of the program, 45 students have initiated the course of study, 28 have completed the program, and 13 are currently enrolled in the program. The survey was designed to track the students in their current activities, as well as determine which courses, program enhancements, and research experiences were the least and most useful, and to discern students' perceptions of knowledge acquired on various aspects of Cancer Biology Prevention, and Control Master's Program. Thirty of the 35 individuals to whom email requests were sent responded to the survey, for a response rate of 85.7%. The results of this study will inform the strengthening of the Cancer Biology program by the Education Advisory Committee. They can also be used in the development of comparable collaborative master's degree programs designed to address the significant disparities in prevalence of

An Analysis of Collaborative Problem-Solving Activities Mediated by Individual-Based and Collaborative Computer Simulations

Science.gov (United States)

Chang, C.-J.; Chang, M.-H.; Liu, C.-C.; Chiu, B.-C.; Fan Chiang, S.-H.; Wen, C.-T.; Hwang, F.-K.; Chao, P.-Y.; Chen, Y.-L.; Chai, C.-S.

2017-01-01

Researchers have indicated that the collaborative problem-solving space afforded by the collaborative systems significantly impact the problem-solving process. However, recent investigations into collaborative simulations, which allow a group of students to jointly manipulate a problem in a shared problem space, have yielded divergent results…

Genetic and Epigenetic Determinants of Lung Cancer Subtype: Adenocarcinoma to Small Cell Conversion

Science.gov (United States)

2016-10-01

reported in other contexts including breast cancer and bladder cancer . While beyond the scope of this grant, and not funded by this mechanism, we...have participated in a recent collaborative analysis of common genomic alterations in small cell bladder cancer vs. small cell lung cancer . A paper...of the project is to study drug resistance mechanisms in vitro and using tumors from lung cancer patients with epidermal growth factor receptor

Family history of cancer and risk of Pancreatic Cancer: A Pooled Analysis from the Pancreatic Cancer Cohort Consortium (PanScan)

Science.gov (United States)

Jacobs, Eric J.; Chanock, Stephen J.; Fuchs, Charles S.; LaCroix, Andrea; McWilliams, Robert R.; Steplowski, Emily; Stolzenberg-Solomon, Rachael Z.; Arslan, Alan A.; Bueno-de-Mesquita, H. Bas; Gross, Myron; Helzlsouer, Kathy; Petersen, Gloria; Zheng, Wei; Agalliu, Ilir; Allen, Naomi E.; Amundadottir, Laufey; Boutron-Ruault, Marie-Christine; Buring, Julie E.; Canzian, Federico; Clipp, Sandra; Dorronsoro, Miren; Gaziano, J. Michael; Giovannucci, Edward L.; Hankinson, Susan E.; Hartge, Patricia; Hoover, Robert N.; Hunter, David J.; Jacobs, Kevin B.; Jenab, Mazda; Kraft, Peter; Kooperberg, Charles; Lynch, Shannon M.; Sund, Malin; Mendelsohn, Julie B.; Mouw, Tracy; Newton, Christina C.; Overvad, Kim; Palli, Domenico; Peeters, Petra H.M.; Rajkovic, Aleksandar; Shu, Xiao-Ou; Thomas, Gilles; Tobias, Geoffrey S.; Trichopoulos, Dimitrios; Virtamo, Jarmo; Wactawski-Wende, Jean; Wolpin, Brian M.; Yu, Kai; Zeleniuch-Jacquotte, Anne

2010-01-01

A family history of pancreatic cancer has consistently been associated with increased risk of pancreatic cancer. However, uncertainty remains about the strength of this association. Results from previous studies suggest a family history of select cancers (i.e. ovarian, breast, and colorectal) could also be associated, although not as strongly, with increased risk of pancreatic cancer. We examined the association between a family history of five types of cancer (pancreas, prostate, ovarian, breast, and colorectal) and risk of pancreatic cancer using data from a collaborative nested case-control study conducted by the Pancreatic Cancer Cohort Consortium. Cases and controls were from cohort studies from the United States, Europe, and China, and a case-control study from the Mayo Clinic. Analyses of family history of pancreatic cancer included 1,183 cases and 1,205 controls. A family history of pancreatic cancer in a parent, sibling, or child was associated with increased risk of pancreatic cancer (multivariate-adjusted OR = 1.76, 95% CI 1.19–2.61). A family history of prostate cancer was also associated with increased risk (OR = 1.45, 95% CI 1.12–1.89). There were no statistically significant associations with a family history of ovarian cancer (OR = 0.82, 95% CI 0.52–1.31), breast cancer (OR = 1.21, 95% CI 0.97–1.51), or colorectal cancer (OR = 1.17, 95% CI 0.93–1.47). Our results confirm a moderate sized association between a family history of pancreatic cancer and risk of pancreatic cancer and also provide evidence for an association with a family history of prostate cancer worth further study. PMID:20049842

COMPLEXO: identifying the missing heritability of breast cancer via next generation collaboration.

Science.gov (United States)

Southey, Melissa C; Park, Daniel J; Nguyen-Dumont, Tu; Campbell, Ian; Thompson, Ella; Trainer, Alison H; Chenevix-Trench, Georgia; Simard, Jacques; Dumont, Martine; Soucy, Penny; Thomassen, Mads; Jønson, Lars; Pedersen, Inge S; Hansen, Thomas Vo; Nevanlinna, Heli; Khan, Sofia; Sinilnikova, Olga; Mazoyer, Sylvie; Lesueur, Fabienne; Damiola, Francesca; Schmutzler, Rita; Meindl, Alfons; Hahnen, Eric; Dufault, Michael R; Chris Chan, Tl; Kwong, Ava; Barkardóttir, Rosa; Radice, Paolo; Peterlongo, Paolo; Devilee, Peter; Hilbers, Florentine; Benitez, Javier; Kvist, Anders; Törngren, Therese; Easton, Douglas; Hunter, David; Lindstrom, Sara; Kraft, Peter; Zheng, Wei; Gao, Yu-Tang; Long, Jirong; Ramus, Susan; Feng, Bing-Jian; Weitzel, Jeffrey N; Nathanson, Katherine; Offit, Kenneth; Joseph, Vijai; Robson, Mark; Schrader, Kasmintan; Wang, San; Kim, Yeong C; Lynch, Henry; Snyder, Carrie; Tavtigian, Sean; Neuhausen, Susan; Couch, Fergus J; Goldgar, David E

2013-06-21

Linkage analysis, positional cloning, candidate gene mutation scanning and genome-wide association study approaches have all contributed significantly to our understanding of the underlying genetic architecture of breast cancer. Taken together, these approaches have identified genetic variation that explains approximately 30% of the overall familial risk of breast cancer, implying that more, and likely rarer, genetic susceptibility alleles remain to be discovered.

Dynamic analysis of interhospital collaboration and competition: empirical evidence from an Italian regional health system.

Science.gov (United States)

Mascia, Daniele; Di Vincenzo, Fausto; Cicchetti, Americo

2012-05-01

Policymakers stimulate competition in universalistic health-care systems while encouraging the formation of service provision networks among hospital organizations. This article addresses a gap in the extant literature by empirically analyzing simultaneous collaboration and competition between hospitals within the Italian National Health Service, where important procompetition reforms have been implemented. To explore how rising competition between hospitals relates to their propensity to collaborate with other local providers. Longitudinal data on interhospital collaboration and competition collected in an Italian region from 2003 to 2007 are analyzed. Social network analysis techniques are applied to study the structure and dynamics of interhospital collaboration. Negative binomial regressions are employed to explore how interhospital competition relates to the collaborative network over time. Competition among providers does not hinder interhospital collaboration. Collaboration is primarily local, with resource complementarity and differentials in the volume of activity and hospital performance explaining the propensity to collaborate. Formation of collaborative networks among hospitals is not hampered by reforms aimed at fostering market forces. Because procompetition reforms elicit peculiar forms of managed competition in universalistic health systems, studies are needed to clarify whether the positive association between interhospital competition and collaboration can be generalized to other health-care settings. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Large-scale genotyping identifies 41 new loci associated with breast cancer risk.

Science.gov (United States)

Michailidou, Kyriaki; Hall, Per; Gonzalez-Neira, Anna; Ghoussaini, Maya; Dennis, Joe; Milne, Roger L; Schmidt, Marjanka K; Chang-Claude, Jenny; Bojesen, Stig E; Bolla, Manjeet K; Wang, Qin; Dicks, Ed; Lee, Andrew; Turnbull, Clare; Rahman, Nazneen; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; Dos Santos Silva, Isabel; Nevanlinna, Heli; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Czene, Kamila; Irwanto, Astrid; Liu, Jianjun; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel; van der Luijt, Rob B; Hein, Rebecca; Dahmen, Norbert; Beckman, Lars; Meindl, Alfons; Schmutzler, Rita K; Müller-Myhsok, Bertram; Lichtner, Peter; Hopper, John L; Southey, Melissa C; Makalic, Enes; Schmidt, Daniel F; Uitterlinden, Andre G; Hofman, Albert; Hunter, David J; Chanock, Stephen J; Vincent, Daniel; Bacot, François; Tessier, Daniel C; Canisius, Sander; Wessels, Lodewyk F A; Haiman, Christopher A; Shah, Mitul; Luben, Robert; Brown, Judith; Luccarini, Craig; Schoof, Nils; Humphreys, Keith; Li, Jingmei; Nordestgaard, Børge G; Nielsen, Sune F; Flyger, Henrik; Couch, Fergus J; Wang, Xianshu; Vachon, Celine; Stevens, Kristen N; Lambrechts, Diether; Moisse, Matthieu; Paridaens, Robert; Christiaens, Marie-Rose; Rudolph, Anja; Nickels, Stefan; Flesch-Janys, Dieter; Johnson, Nichola; Aitken, Zoe; Aaltonen, Kirsimari; Heikkinen, Tuomas; Broeks, Annegien; Veer, Laura J Van't; van der Schoot, C Ellen; Guénel, Pascal; Truong, Thérèse; Laurent-Puig, Pierre; Menegaux, Florence; Marme, Frederik; Schneeweiss, Andreas; Sohn, Christof; Burwinkel, Barbara; Zamora, M Pilar; Perez, Jose Ignacio Arias; Pita, Guillermo; Alonso, M Rosario; Cox, Angela; Brock, Ian W; Cross, Simon S; Reed, Malcolm W R; Sawyer, Elinor J; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Henderson, Brian E; Schumacher, Fredrick; Le Marchand, Loic; Andrulis, Irene L; Knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Lindblom, Annika; Margolin, Sara; Hooning, Maartje J; Hollestelle, Antoinette; van den Ouweland, Ans M W; Jager, Agnes; Bui, Quang M; Stone, Jennifer; Dite, Gillian S; Apicella, Carmel; Tsimiklis, Helen; Giles, Graham G; Severi, Gianluca; Baglietto, Laura; Fasching, Peter A; Haeberle, Lothar; Ekici, Arif B; Beckmann, Matthias W; Brenner, Hermann; Müller, Heiko; Arndt, Volker; Stegmaier, Christa; Swerdlow, Anthony; Ashworth, Alan; Orr, Nick; Jones, Michael; Figueroa, Jonine; Lissowska, Jolanta; Brinton, Louise; Goldberg, Mark S; Labrèche, France; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Brüning, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bonanni, Bernardo; Devilee, Peter; Tollenaar, Rob A E M; Seynaeve, Caroline; van Asperen, Christi J; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Durda, Katarzyna; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Bogdanova, Natalia V; Antonenkova, Natalia N; Dörk, Thilo; Kristensen, Vessela N; Anton-Culver, Hoda; Slager, Susan; Toland, Amanda E; Edge, Stephen; Fostira, Florentia; Kang, Daehee; Yoo, Keun-Young; Noh, Dong-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Sueta, Aiko; Wu, Anna H; Tseng, Chiu-Chen; Van Den Berg, David; Stram, Daniel O; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Teo, Soo Hwang; Yip, Cheng Har; Phuah, Sze Yee; Cornes, Belinda K; Hartman, Mikael; Miao, Hui; Lim, Wei Yen; Sng, Jen-Hwei; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Ding, Shian-Ling; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; McKay, James; Blot, William J; Signorello, Lisa B; Cai, Qiuyin; Zheng, Wei; Deming-Halverson, Sandra; Shrubsole, Martha; Long, Jirong; Simard, Jacques; Garcia-Closas, Montse; Pharoah, Paul D P; Chenevix-Trench, Georgia; Dunning, Alison M; Benitez, Javier; Easton, Douglas F

2013-04-01

Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological Gene-environment Study, COGS) and used a custom Illumina iSelect genotyping array, iCOGS, comprising more than 200,000 SNPs. We identified SNPs at 41 new breast cancer susceptibility loci at genome-wide significance (P breast cancer susceptibility.

Mapping the research on scientific collaboration

Institute of Scientific and Technical Information of China (English)

HOU Jianhua; CHEN Chaomei; YAN Jianxin

2010-01-01

The aim of this paper was to identify the trends and hot topics in the study of scientific collaboration via scientometric analysis.Information visualization and knowledge domain visualization techniques were adopted to determine how the study of scientific collaboration has evolved.A total of 1,455 articles on scientific cooperation published between 1993 and 2007 were retrieved from the SCI,SSCI and A&HCI databases with a topic search of scientific collaboration or scientific cooperation for the analysis.By using CiteSpace,the knowledge bases,research foci,and research fronts in the field of scientific collaboration were studied.The results indicated that research fronts and research foci are highly consistent in terms of the concept,origin,measurement,and theory of scientific collaboration.It also revealed that research fronts included scientific collaboration networks,international scientific collaboration,social network analysis and techniques,and applications of bibliometrical indicators,webmetrics,and health care related areas.

Active and passive smoking and risk of death from pancreatic cancer: findings from the Japan Collaborative Cohort Study.

Science.gov (United States)

Lin, Yingsong; Yagyu, Kiyoko; Ueda, Junko; Kurosawa, Michiko; Tamakoshi, Akiko; Kikuchi, Shogo

2013-01-01

There is uncertainty in the risk of pancreatic cancer with particular aspects of smoking, such as a dose-response relationship and cumulative amount, in Japanese men and women. Very few studies have addressed the role of passive smoking in pancreatic cancer among Japanese women. We examined the association between active or passive smoking and the risk of death from pancreatic cancer using data from the Japan Collaborative Cohort Study. The cohort participants (46,395 men and 64,190 women) were followed-up for mortality from baseline (1988-1990) through December 31, 2009. Cox proportional hazards regression models were used to estimate relative risks (RR) and 95% confidence intervals (CI). During follow-up, we recorded 611 pancreatic cancer deaths. After adjustment for potential confounding factors, current smokers had a significantly increased risk of death from pancreatic cancer compared with non-smokers, with an RR of 1.70 (95% CI: 1.33-2.19). The risk of death from pancreatic cancer significantly increased with increasing numbers of cigarettes smoked per day. Exposure to environmental tobacco smoke (ETS) in public spaces was not associated with risk of death from pancreatic cancer. The RR for women who reported ETS exposure was 1.20 (95% CI: 0.87-1.67). Women exposed to ETS during childhood or adolescence had 1.21-fold increased risk, but the association was statistically insignificant. Cigarette smoking is associated with an approximately 70% increase in the risk of death from pancreatic cancer. Further studies with improved exposure assessment are needed to better quantify the association between passive smoking and pancreatic cancer. Copyright © 2013 IAP and EPC. Published by Elsevier B.V. All rights reserved.

Tools for building Breast Cancer CAD methods; Herramientas para elaborar metodos de CAD del cancer de mama

Energy Technology Data Exchange (ETDEWEB)

Diaz-Herrero, G.; Franco-Valiente, J. M.; Suarez-Ortega, C.; Rubio del Solar, M.; Ramos-Pollam, R.; Guevara-Lopez, M. A.; Gonzalez de Posada, N.; Ramos, I.; Loureiro, J.

2011-07-01

This paper describes the main results of the collaboration currently ongoing between CETA-CIEMAT and the Faculty of Engineering at the University of Porto. It introduces the Mammography image Workstation for Analysis and Diagnosis (MIWAD) and the data analysis processes through which Grid infrastructures are used to develop Breast Cancer Computer-Aided Diagnosis (CAD) methods.MIWAD is a novel integrated software framework that integrates a specialized graphical user interface combining digital image processing, pattern recognition and artificial intelligence techniques. This paper describes its successful application in a pilot experience, on the first Portuguese Breast Cancer Digital Repository. (Author)

Collaborative entrepreneurship: On the Influence of Internal and External Collaboration on Corporate Entrepreneurial Innovation

DEFF Research Database (Denmark)

Lassen, Astrid Heidemann; Timenes Laugen, Bjørge; Middel, Rick

2008-01-01

The present paper empirically tests the effect which internal/external collaboration has on innovation height and identifies characteristics of collaboration patterns leading to entrepreneurial innovation in particular. Doing so adds to the understanding of how corporate entrepreneurship best...... unfolds as interfirm activity, which here is termed collaborative entrepreneurship, and provides details on the particular patterns of Open Innovation. The empirical analysis is based on a data set with responses from 512 Danish engineers. The analysis finds that external collaboration has significantly...... different effects on innovation height depending on the type of partners involved, and furthermore suggests that the development of entrepreneurial innovation is not only dependent on high external involvement, but also on involvement and collaboration among internal functional departments and people....

Psychological factors and mortality in the Japan Collaborative Cohort Study for Evaluation of Cancer (JACC).

Science.gov (United States)

Tanno, Kozo; Sakata, Kiyomi

2007-01-01

Psychological factors may have an influence on disease processes and therefore they were investigated in the Japan Collaborative Cohort Study. Overall there were very few consistent associations with cancer death. Persons with 'ikigai', defined as 'that which most makes one's life seem worth living', demonstrated decreased risk of mortality from all causes, ischemic heart disease (IHD) and cerebrovascular disease (CVD).There was no consistent link with being quick to judge, although those answering no to quick judgement were at increased risk of all cause, IHD and CVD mortality. psychological stress was related to a slightly elevated risk of all cause death, IHD in men and CVD in women. However, a sense of hurry was linked to a slightly reduced risk for mortality from all causes and CVD. Persons who were likely to be angry had an increased risk for mortality from all causes. In women not likely to be angry there were also positive links to death from cancers like breast. Joyfulness was associated with decreased mortality, especially from CVD. A feeling of being trusted was also protective, again particularly for CVD.

Collaborative Consumption

DEFF Research Database (Denmark)

Gjerdrum Pedersen, Esben Rahbek; Netter, Sarah

2015-01-01

Purpose – The purpose of this paper is to explore barriers and opportunities for business models based on the ideas of collaborative consumption within the fashion industry. Design/methodology/approach – The analysis is based on a multiple-case study of Scandinavian fashion libraries – a new...... to the new phenomenon of fashion libraries and does not cover other types of collaborative consumption within the fashion industry (Swap-parties, etc.). Originality/value – The paper is one of the first attempts to examine new business models of collaborative consumption in general and the fashion library...... concept in particular. The study contributes to the discussions of whether and how fashion sharing and collaboration holds promise as a viable business model and as a means to promote sustainability....

The SWENOTECA group: A good example of continuous binational and multidisciplinary collaboration for patients with testicular cancer in Sweden and Norway.

Science.gov (United States)

Tandstad, Torgrim; Ståhl, Olof; Håkansson, Ulf; Wahlqvist, Rolf; Klepp, Olbjørn; Cavallin-Ståhl, Eva; Cohn-Cedermark, Gabriella

2016-01-01

The aim of this article is to present the Swedish and Norwegian Testicular Cancer Group (SWENOTECA), with an emphasis on the history of SWENOTECA, organization, results and current status. SWENOTECA was founded in 1981 as a binational organization open to hospitals in Sweden and Norway treating testicular cancer. It has since published treatment protocols for testicular cancer and prospectively registered patients with testicular cancer. Today, all hospitals in Norway and Sweden involved in the care of testicular cancer participate in SWENOTECA, and all patients with testicular cancer are prospectively registered in a population-based database. Nine protocols with standardized guidelines on the diagnosis, treatment and follow-up of testicular cancer have been published. In addition to the guidelines, several studies have been performed or initiated within the scope of SWENOTECA. The details are presented in this article. SWENOTECA has been a very fruitful binational collaboration and has thoughtfully evolved over time. The group's continuous work and dedication have provided an example for other national and international cancer networks. The binational implementation of standardized guidelines has resulted in excellent patient outcomes, regardless of place of residence. Although testicular cancer is a relatively rare disease, the population-based binational organization of SWENOTECA has made it possible to publish some of the largest studies in the field of testicular cancer.

TNF-α-308 polymorphism and risk of digestive system cancers: a meta-analysis.

Science.gov (United States)

Guo, Xu-Feng; Wang, Jun; Yu, Shi-Jie; Song, Jia; Ji, Meng-Yao; Cao, Zhuo; Zhang, Ji-Xiang; Wang, Jing; Dong, Wei-Guo

2013-12-28

To evaluate the association between the tumour necrosis factor alpha-308 (TNF-α-308) gene polymorphism and the risk of digestive system cancers. All eligible case-control studies published up to December 2012 were identified by searching PubMed, Web of Science, Embase and China National Knowledge Internet without language restrictions. The risk of digestive system cancers associated with the TNF-α-308 polymorphism was estimated for each study using odds ratio (OR) together with its 95%CI, respectively. Cochrane Collaboration RevMan 5.1 was used to perform the analysis. A χ²-test-based Q statistic test and an I² test were performed to assess the between-study heterogeneity. When the Q test was significant (P 50%, the random effects model was used, otherwise the fixed effects model was used. Fifty-eight studies from fifty-five publications with a total of 9986 cancer patients and 15511 healthy controls were included. Overall, a significant association was found between the TNF-α-308 polymorphism and the risk of digestive system cancers [dominant model: OR = 1.23, 95%CI: 1.09-1.39, (G/A) vs (G/G): OR = 1.15, 95%CI: 1.02-1.28, (A/A) vs (G/G): OR = 1.44, 95%CI: 1.19-1.73, recessive model: OR = 1.38, 95%CI: 1.15-1.66]. Furthermore, when the analysis was stratified by ethnicity, similar results were observed in both the Asian and Caucasian populations, except for the dominant model and heterozygote comparisons in the Asian population [dominant model: OR = 1.24, 95%CI: 0.99-1.56, (G/A) vs (G/G): OR = 1.09, 95%CI: 0.96-1.24]. When the cancer type subgroups were examined, similar results were detected in gastric and hepatocellular carcinomas; however, no significant association was observed among other digestive system cancers. The TNF-α-308 gene polymorphism may be significantly associated with the risk of gastric and hepatocellular carcinomas, but not colorectal, pancreatic, or oesophageal cancer, in the Asian population.

Using Twitter for breast cancer prevention: an analysis of breast cancer awareness month

Science.gov (United States)

2013-01-01

Background One in eight women will develop breast cancer in her lifetime. The best-known awareness event is breast cancer awareness month (BCAM). BCAM month outreach efforts have been associated with increased media coverage, screening mammography and online information searching. Traditional mass media coverage has been enhanced by social media. However, there is a dearth of literature about how social media is used during awareness-related events. The purpose of this research was to understand how Twitter is being used during BCAM. Methods This was a cross-sectional, descriptive study. We collected breast cancer- related tweets from 26 September - 12 November 2012, using Twitter’s application programming interface. We classified Twitter users into organizations, individuals, and celebrities; each tweet was classified as an original or a retweet, and inclusion of a mention, meaning a reference to another Twitter user with @username. Statistical methods included ANOVA and chi square. For content analysis, we used computational linguistics techniques, specifically the MALLET implementation of the unsupervised topic modeling algorithm Latent Dirichlet Allocation. Results There were 1,351,823 tweets by 797,827 unique users. Tweets spiked dramatically the first few days then tapered off. There was an average of 1.69 tweets per user. The majority of users were individuals. Nearly all of the tweets were original. Organizations and celebrities posted more often than individuals. On average celebrities made far more impressions; they were also retweeted more often and their tweets were more likely to include mentions. Individuals were more likely to direct a tweet to a specific person. Organizations and celebrities emphasized fundraisers, early detection, and diagnoses while individuals tweeted about wearing pink. Conclusions Tweeting about breast cancer was a singular event. The majority of tweets did not promote any specific preventive behavior. Twitter is being used

Using Twitter for breast cancer prevention: an analysis of breast cancer awareness month.

Science.gov (United States)

Thackeray, Rosemary; Burton, Scott H; Giraud-Carrier, Christophe; Rollins, Stephen; Draper, Catherine R

2013-10-29

One in eight women will develop breast cancer in her lifetime. The best-known awareness event is breast cancer awareness month (BCAM). BCAM month outreach efforts have been associated with increased media coverage, screening mammography and online information searching. Traditional mass media coverage has been enhanced by social media. However, there is a dearth of literature about how social media is used during awareness-related events. The purpose of this research was to understand how Twitter is being used during BCAM. This was a cross-sectional, descriptive study. We collected breast cancer- related tweets from 26 September - 12 November 2012, using Twitter's application programming interface. We classified Twitter users into organizations, individuals, and celebrities; each tweet was classified as an original or a retweet, and inclusion of a mention, meaning a reference to another Twitter user with @username. Statistical methods included ANOVA and chi square. For content analysis, we used computational linguistics techniques, specifically the MALLET implementation of the unsupervised topic modeling algorithm Latent Dirichlet Allocation. There were 1,351,823 tweets by 797,827 unique users. Tweets spiked dramatically the first few days then tapered off. There was an average of 1.69 tweets per user. The majority of users were individuals. Nearly all of the tweets were original. Organizations and celebrities posted more often than individuals. On average celebrities made far more impressions; they were also retweeted more often and their tweets were more likely to include mentions. Individuals were more likely to direct a tweet to a specific person. Organizations and celebrities emphasized fundraisers, early detection, and diagnoses while individuals tweeted about wearing pink. Tweeting about breast cancer was a singular event. The majority of tweets did not promote any specific preventive behavior. Twitter is being used mostly as a one-way communication tool. To

How social network analysis can be used to monitor online collaborative learning and guide an informed intervention.

Science.gov (United States)

Saqr, Mohammed; Fors, Uno; Tedre, Matti; Nouri, Jalal

2018-01-01

To ensure online collaborative learning meets the intended pedagogical goals (is actually collaborative and stimulates learning), mechanisms are needed for monitoring the efficiency of online collaboration. Various studies have indicated that social network analysis can be particularly effective in studying students' interactions in online collaboration. However, research in education has only focused on the theoretical potential of using SNA, not on the actual benefits they achieved. This study investigated how social network analysis can be used to monitor online collaborative learning, find aspects in need of improvement, guide an informed intervention, and assess the efficacy of intervention using an experimental, observational repeated-measurement design in three courses over a full-term duration. Using a combination of SNA-based visual and quantitative analysis, we monitored three SNA constructs for each participant: the level of interactivity, the role, and position in information exchange, and the role played by each participant in the collaboration. On the group level, we monitored interactivity and group cohesion indicators. Our monitoring uncovered a non-collaborative teacher-centered pattern of interactions in the three studied courses as well as very few interactions among students, limited information exchange or negotiation, and very limited student networks dominated by the teacher. An intervention based on SNA-generated insights was designed. The intervention was structured into five actions: increasing awareness, promoting collaboration, improving the content, preparing teachers, and finally practicing with feedback. Evaluation of the intervention revealed that it has significantly enhanced student-student interactions and teacher-student interactions, as well as produced a collaborative pattern of interactions among most students and teachers. Since efficient and communicative activities are essential prerequisites for successful content

Early Detection of Sporadic Pancreatic Cancer

Science.gov (United States)

Chari, Suresh T.; Kelly, Kimberly; Hollingsworth, Michael A.; Thayer, Sarah P.; Ahlquist, David A.; Andersen, Dana K.; Batra, Surinder K.; Brentnall, Teresa A.; Canto, Marcia; Cleeter, Deborah F.; Firpo, Matthew A.; Gambhir, Sanjiv Sam; Go, Vay Liang W.; Hines, O. Joe; Kenner, Barbara J.; Klimstra, David S.; Lerch, Markus M.; Levy, Michael J.; Maitra, Anirban; Mulvihill, Sean J.; Petersen, Gloria M.; Rhim, Andrew D.; Simeone, Diane M.; Srivastava, Sudhir; Tanaka, Masao; Vinik, Aaron I.; Wong, David

2015-01-01

Abstract Pancreatic cancer (PC) is estimated to become the second leading cause of cancer death in the United States by 2020. Early detection is the key to improving survival in PC. Addressing this urgent need, the Kenner Family Research Fund conducted the inaugural Early Detection of Sporadic Pancreatic Cancer Summit Conference in 2014 in conjunction with the 45th Anniversary Meeting of the American Pancreatic Association and Japan Pancreas Society. This seminal convening of international representatives from science, practice, and clinical research was designed to facilitate challenging interdisciplinary conversations to generate innovative ideas leading to the creation of a defined collaborative strategic pathway for the future of the field. An in-depth summary of current efforts in the field, analysis of gaps in specific areas of expertise, and challenges that exist in early detection is presented within distinct areas of inquiry: Case for Early Detection: Definitions, Detection, Survival, and Challenges; Biomarkers for Early Detection; Imaging; and Collaborative Studies. In addition, an overview of efforts in familial PC is presented in an addendum to this article. It is clear from the summit deliberations that only strategically designed collaboration among investigators, institutions, and funders will lead to significant progress in early detection of sporadic PC. PMID:25931254

Collaboration in scientific practice

DEFF Research Database (Denmark)

Wagenknecht, Susann

2014-01-01

This monograph investigates the collaborative creation of scientific knowledge in research groups. To do so, I combine philosophical analysis with a first-hand comparative case study of two research groups in experimental science. Qualitative data are gained through observation and interviews......, and I combine empirical insights with existing approaches to knowledge creation in philosophy of science and social epistemology. On the basis of my empirically-grounded analysis I make several conceptual contributions. I study scientific collaboration as the interaction of scientists within research...... to their publication. Specifically, I suggest epistemic difference and the porosity of social structure as two conceptual leitmotifs in the study of group collaboration. With epistemic difference, I emphasize the value of socio-cognitive heterogeneity in group collaboration. With porosity, I underline the fact...

Collaborative Consumption

DEFF Research Database (Denmark)

Gjerdrum Pedersen, Esben Rahbek; Netter, Sarah

Purpose: The purpose of this paper is to explore barriers and opportunities for business models based on the ideas of collaborative consumption within the fashion industry. Design/methodology/approach: The analysis is based on a multiple-­‐‑case study of Scandinavian fashion libraries – a new...... to the new phenomenon of fashion libraries and does not cover other types of collaborative consumption within the fashion industry (Swap-­‐‑parties, etc.). Originality/value: The paper is one of the first attempts to examine new business models of collaborative consumption in general and the fashion library...... concept in particular. The study contributes to the discussions of whether and how fashion sharing and collaboration holds promise as a viable business model and as a means to promote sustainability....

NCI collaborates with Multiple Myeloma Research Foundation

Science.gov (United States)

The National Cancer Institute (NCI) announced a collaboration with the Multiple Myeloma Research Foundation (MMRF) to incorporate MMRF's wealth of genomic and clinical data on the disease into the NCI Genomic Data Commons (GDC), a publicly available datab

Visualization analysis of author collaborations in schizophrenia research

OpenAIRE

Wu, Ying; Duan, Zhiguang

2015-01-01

Background Schizophrenia is a serious mental illness that levies a heavy medical toll and cost burden throughout the world. Scientific collaborations are necessary for progress in psychiatric research. However, there have been few publications on scientific collaborations in schizophrenia. The aim of this study was to investigate the extent of author collaborations in schizophrenia research. Methods This study used 58,107 records on schizophrenia from 2003 to 2012 which were downloaded from S...

Preferences and actual chemotherapy decision-making in the greater plains collaborative breast cancer study.

Science.gov (United States)

Berger, Ann M; Buzalko, Russell J; Kupzyk, Kevin A; Gardner, Bret J; Djalilova, Dilorom M; Otte, Julie L

2017-12-01

There is renewed interest in identifying breast cancer patients' participation in decision-making about adjuvant chemotherapy. There is a gap in the literature regarding the impact of these decisions on quality of life (QOL) and quality of care (QOC). Our aims were to determine similarities and differences in how patients diagnosed with breast cancer preferred to make decisions with providers about cancer treatment, to examine the patient's recall of her role when the decision was made about chemotherapy and to determine how preferred and actual roles, as well as congruence between them, relate to QOL and perceived QOC. Greater Plains Collaborative clinical data research network of PCORnet conducted the 'Share Thoughts on Breast Cancer' survey among women 12-18 months post-diagnosis at eight sites in seven Midwestern United States. Patients recalled their preferred and actual treatment decision-making roles and three new shared decision-making (SDM) variables were created. Patients completed QOL and QOC measurements. Correlations and t-tests were used. Of 1235 returned surveys, 873 (full sample) and 329 (subsample who received chemotherapy) were used. About one-half of women in both the full (50.7%) and subsample (49.8%,) preferred SDM with providers about treatment decisions, but only 41.2% (full) and 42.6% (subsample) reported experiencing SDM. Significant differences were found between preferred versus actual roles in the full (p decision-making variables with QOL, but there was an association with QOC. The subsample's decision-making variables related to several QOL scales and QOC items, with a more patient-centered decision than originally preferred related to higher physical and social/family well-being, overall QOL and QOC. Patients benefit from providers' efforts to identify patient preferences, encourage an active role in SDM, and tailor decision making to their desired choice.

Measuring the evolution and output of cross-disciplinary collaborations within the NCI Physical Sciences–Oncology Centers Network

Science.gov (United States)

Basner, Jodi E.; Theisz, Katrina I.; Jensen, Unni S.; Jones, C. David; Ponomarev, Ilya; Sulima, Pawel; Jo, Karen; Eljanne, Mariam; Espey, Michael G.; Franca-Koh, Jonathan; Hanlon, Sean E.; Kuhn, Nastaran Z.; Nagahara, Larry A.; Schnell, Joshua D.; Moore, Nicole M.

2013-01-01

Development of effective quantitative indicators and methodologies to assess the outcomes of cross-disciplinary collaborative initiatives has the potential to improve scientific program management and scientific output. This article highlights an example of a prospective evaluation that has been developed to monitor and improve progress of the National Cancer Institute Physical Sciences—Oncology Centers (PS-OC) program. Study data, including collaboration information, was captured through progress reports and compiled using the web-based analytic database: Interdisciplinary Team Reporting, Analysis, and Query Resource. Analysis of collaborations was further supported by data from the Thomson Reuters Web of Science database, MEDLINE database, and a web-based survey. Integration of novel and standard data sources was augmented by the development of automated methods to mine investigator pre-award publications, assign investigator disciplines, and distinguish cross-disciplinary publication content. The results highlight increases in cross-disciplinary authorship collaborations from pre- to post-award years among the primary investigators and confirm that a majority of cross-disciplinary collaborations have resulted in publications with cross-disciplinary content that rank in the top third of their field. With these evaluation data, PS-OC Program officials have provided ongoing feedback to participating investigators to improve center productivity and thereby facilitate a more successful initiative. Future analysis will continue to expand these methods and metrics to adapt to new advances in research evaluation and changes in the program. PMID:24808632

Using Social Network Analysis to Assess Mentorship and Collaboration in a Public Health Network.

Science.gov (United States)

Petrescu-Prahova, Miruna; Belza, Basia; Leith, Katherine; Allen, Peg; Coe, Norma B; Anderson, Lynda A

2015-08-20

Addressing chronic disease burden requires the creation of collaborative networks to promote systemic changes and engage stakeholders. Although many such networks exist, they are rarely assessed with tools that account for their complexity. This study examined the structure of mentorship and collaboration relationships among members of the Healthy Aging Research Network (HAN) using social network analysis (SNA). We invited 97 HAN members and partners to complete an online social network survey that included closed-ended questions about HAN-specific mentorship and collaboration during the previous 12 months. Collaboration was measured by examining the activity of the network on 6 types of products: published articles, in-progress manuscripts, grant applications, tools, research projects, and presentations. We computed network-level measures such as density, number of components, and centralization to assess the cohesiveness of the network. Sixty-three respondents completed the survey (response rate, 65%). Responses, which included information about collaboration with nonrespondents, suggested that 74% of HAN members were connected through mentorship ties and that all 97 members were connected through at least one form of collaboration. Mentorship and collaboration ties were present both within and across boundaries of HAN member organizations. SNA of public health collaborative networks provides understanding about the structure of relationships that are formed as a result of participation in network activities. This approach may offer members and funders a way to assess the impact of such networks that goes beyond simply measuring products and participation at the individual level.

Architecture for an advanced biomedical collaboration domain for the European paediatric cancer research community (ABCD-4-E).

Science.gov (United States)

Nitzlnader, Michael; Falgenhauer, Markus; Gossy, Christian; Schreier, Günter

2015-01-01

Today, progress in biomedical research often depends on large, interdisciplinary research projects and tailored information and communication technology (ICT) support. In the context of the European Network for Cancer Research in Children and Adolescents (ENCCA) project the exchange of data between data source (Source Domain) and data consumer (Consumer Domain) systems in a distributed computing environment needs to be facilitated. This work presents the requirements and the corresponding solution architecture of the Advanced Biomedical Collaboration Domain for Europe (ABCD-4-E). The proposed concept utilises public as well as private cloud systems, the Integrating the Healthcare Enterprise (IHE) framework and web-based applications to provide the core capabilities in accordance with privacy and security needs. The utility of crucial parts of the concept was evaluated by prototypic implementation. A discussion of the design indicates that the requirements of ENCCA are fully met. A whole system demonstration is currently being prepared to verify that ABCD-4-E has the potential to evolve into a domain-bridging collaboration platform in the future.

Multifunctional Collaborative Modeling and Analysis Methods in Engineering Science

Science.gov (United States)

Ransom, Jonathan B.; Broduer, Steve (Technical Monitor)

2001-01-01

Engineers are challenged to produce better designs in less time and for less cost. Hence, to investigate novel and revolutionary design concepts, accurate, high-fidelity results must be assimilated rapidly into the design, analysis, and simulation process. This assimilation should consider diverse mathematical modeling and multi-discipline interactions necessitated by concepts exploiting advanced materials and structures. Integrated high-fidelity methods with diverse engineering applications provide the enabling technologies to assimilate these high-fidelity, multi-disciplinary results rapidly at an early stage in the design. These integrated methods must be multifunctional, collaborative, and applicable to the general field of engineering science and mechanics. Multifunctional methodologies and analysis procedures are formulated for interfacing diverse subdomain idealizations including multi-fidelity modeling methods and multi-discipline analysis methods. These methods, based on the method of weighted residuals, ensure accurate compatibility of primary and secondary variables across the subdomain interfaces. Methods are developed using diverse mathematical modeling (i.e., finite difference and finite element methods) and multi-fidelity modeling among the subdomains. Several benchmark scalar-field and vector-field problems in engineering science are presented with extensions to multidisciplinary problems. Results for all problems presented are in overall good agreement with the exact analytical solution or the reference numerical solution. Based on the results, the integrated modeling approach using the finite element method for multi-fidelity discretization among the subdomains is identified as most robust. The multiple-method approach is advantageous when interfacing diverse disciplines in which each of the method's strengths are utilized. The multifunctional methodology presented provides an effective mechanism by which domains with diverse idealizations are

Governing citizens and health professionals at a distance: A critical discourse analysis of policies of intersectorial collaboration in Danish health-care

DEFF Research Database (Denmark)

Andersen, Anne Bendix; Frederiksen, Kirsten; Kolbæk, Raymond

2017-01-01

of intersectorial collaboration. The premises of intersectorial collaboration are maintained through a specific presentation of actors leaving little room for discussion, where professionals are constructed as actors who are expected to develop ways of collaborating according to the Triple Aim approach in order...... policies as powerful actors and explores how effects of a concrete policy are adapted for intersectorial collaboration in Danish healthcare. The paper is based on a critical discourse analysis of a central policy document in Danish health-care known as the ‘Health Agreements’. Using Fairclough’s three......-dimensional model for discourse analysis, we explored the document to clarify the construction of actors participating in intersectorial collaboration. The analysis revealed the Health Agreement as a ‘negotiated text’, appearing as an overriding document legitimising one possible discourse regarding the premises...

Collaborative learning for public relations: Frame analysis in training for spokespersons

Directory of Open Access Journals (Sweden)

Sergio Álvarez Sánchez

2018-05-01

Full Text Available The collaborative model for learning implies students forming teams in order to reach a common goal. The objectives of this research are both exploring the impact of the collaborative model over the performance of those learners who study contents related to the formation of spokespersons for organizations; and evaluating the potential of frame analysis as a content for training in public relations. To delve into those issues, a case study exercise was administered to six groups of students of the “Training for Spokespersons” subject, consisting of analyzing the audiovisual intervention of a spokesperson talking on behalf of a strike commitee, and answering questions about target publics and frames of reference. The exercise succeeded in helping the students understand the role of emotional communication; however, they still got slightly confused about frame analysis and its link with the concept of social norm. For future research, it becomes necessary to focus on moving even more away from the classic master classes, as well as using cases that students can feel closer to their interests. With respect to frame analysis, the results encourage the teaching of more precise classifications in terms of general frames about a certain topic, and specific frames about particular situations.

Breast cancer

African Journals Online (AJOL)

A collaborative article gives an overview of breast cancer in LICs, ... approach to the problem; therefore they are published as two separate ... attached to the diagnosis of breast cancer. ... Their founding statement in its early form is included.

Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysis.

Science.gov (United States)

Cava, Claudia; Bertoli, Gloria; Colaprico, Antonio; Olsen, Catharina; Bontempi, Gianluca; Castiglioni, Isabella

2018-01-06

Modern high-throughput genomic technologies represent a comprehensive hallmark of molecular changes in pan-cancer studies. Although different cancer gene signatures have been revealed, the mechanism of tumourigenesis has yet to be completely understood. Pathways and networks are important tools to explain the role of genes in functional genomic studies. However, few methods consider the functional non-equal roles of genes in pathways and the complex gene-gene interactions in a network. We present a novel method in pan-cancer analysis that identifies de-regulated genes with a functional role by integrating pathway and network data. A pan-cancer analysis of 7158 tumour/normal samples from 16 cancer types identified 895 genes with a central role in pathways and de-regulated in cancer. Comparing our approach with 15 current tools that identify cancer driver genes, we found that 35.6% of the 895 genes identified by our method have been found as cancer driver genes with at least 2/15 tools. Finally, we applied a machine learning algorithm on 16 independent GEO cancer datasets to validate the diagnostic role of cancer driver genes for each cancer. We obtained a list of the top-ten cancer driver genes for each cancer considered in this study. Our analysis 1) confirmed that there are several known cancer driver genes in common among different types of cancer, 2) highlighted that cancer driver genes are able to regulate crucial pathways.

Preoperative radiotherapy in esophageal carcinoma: a meta-analysis using individual patient data (oesophageal cancer collaborative group)

International Nuclear Information System (INIS)

Arnott, Sydney J.; Duncan, William; Gignoux, Marc; Girling, David J.; Hansen, Hanne S.; Launois, B.; Nygaard, Knut; Parmar, Mahesh K.B.; Roussel, Alain; Spiliopoulos, G.; Stewart, Lesley A.; Tierney, Jayne F.; Wang Mei; Zhang Rugang

1998-01-01

Purpose: The existing randomized evidence has failed to conclusively demonstrate the benefit or otherwise of preoperative radiotherapy in treating patients with potentially resectable esophageal carcinoma. This meta-analysis aimed to assess whether there is benefit from adding radiotherapy prior to surgery. Methods and Materials: This quantitative meta-analysis included updated individual patient data from all properly randomized trials (published or unpublished) comprising 1147 patients (971 deaths) from five randomized trials. Results: With a median follow-up of 9 years, the hazard ratio (HR) of 0.89 (95% CI 0.78-1.01) suggests an overall reduction in the risk of death of 11% and an absolute survival benefit of 3% at 2 years and 4% at 5 years. This result is not conventionally statistically significant (p 0.062). No clear differences in the size of the effect by sex, age, or tumor location were apparent. Conclusion: Based on existing trials, there was no clear evidence that preoperative radiotherapy improves the survival of patients with potentially resectable esophageal cancer. These results indicate that if such preoperative radiotherapy regimens do improve survival, then the effect is likely to be modest with an absolute improvement in survival of around 3 to 4%. Trials or a meta-analysis of around 2000 patients would be needed to reliably detect such an improvement (15→20%)

DISTRIBUTED LEADERSHIP COLLABORATION FACTORS TO SUPPORT IDEA GENERATION IN COMPUTER-SUPPORTED COLLABORATIVE e-LEARNING

Directory of Open Access Journals (Sweden)

Niki Lambropoulos

2011-01-01

Full Text Available This paper aims to identify, discuss and analyze students’ collaboration factors related to distributed leadership (DL, which correlates with interaction quality evident in idea generation. Scripting computer-supported collaborative e-learning (CSCeL activities based on DL can scaffold students’ interactions that support collaboration and promote idea generation. Furthermore, the associated tools can facilitate collaboration via scripting and shed light on students’ interactions and dialogical sequences. Such detailed planning can result in effective short e-courses. In this case study, 21 MSc students’ teams worked on a DL project within a 2-day e-course at the IT Institute (ITIN, France. The research methods involved a self-reported questionnaire; the Non-Negative Matrix Factorization (NNMF algorithm with qualitative analysis; and outcomes from the Social Network Analysis (SNA tools implemented within the forums. The results indicated that scripting DL based on the identified distributed leadership attributes can support values such as collaboration and can be useful in supporting idea generation in short e-courses.

A Qualitative Descriptive Analysis of Collaboration Technology in the Navy

Directory of Open Access Journals (Sweden)

Ryan Wark

2015-10-01

Full Text Available Collaboration technologies enable people to communicate and use information to make organizational decisions. The United States Navy refers to this concept as information dominance. Various collaboration technologies are used by the Navy to achieve this mission. This qualitative descriptive study objectively examined how a matrix oriented Navy activity perceived an implemented collaboration technology. These insights were used to determine whether a specific collaboration technology achieved a mission of information dominance. The study used six collaboration themes as a foundation to include: (a Cultural intelligence, (b Communication, (c Capability, (d Coordination, (e Cooperation, and (f Convergence. It was concluded that collaboration technology was mostly perceived well and helped to achieve some levels of information dominance. Collaboration technology improvement areas included bringing greater awareness to the collaboration technology, revamping the look and feel of the user interface, centrally paying for user and storage fees, incorporating more process management tools, strategically considering a Continuity of Operations, and incorporating additional industry best practices for data structures. Emerging themes of collaboration were collected to examine common patterns identified in the collected data. Emerging themes included acceptance, awareness, search, scope, content, value, tools, system performance, implementation, training, support, usage, structure, complexity, approach, governance/configuration management/policy, and resourcing.

Understanding interprofessional collaboration in the context of chronic disease management for older adults living in communities: a concept analysis.

Science.gov (United States)

Bookey-Bassett, Sue; Markle-Reid, Maureen; Mckey, Colleen A; Akhtar-Danesh, Noori

2017-01-01

To report a concept analysis of interprofessional collaboration in the context of chronic disease management, for older adults living in communities. Increasing prevalence of chronic disease among older adults is creating significant burden for patients, families and healthcare systems. Managing chronic disease for older adults living in the community requires interprofessional collaboration across different health and other care providers, organizations and sectors. However, there is a lack of consensus about the definition and use of interprofessional collaboration for community-based chronic disease management. Concept analysis. Electronic databases CINAHL, Medline, HealthStar, EMBASE, PsychINFO, Ageline and Cochrane Database were searched from 2000 - 2013. Rodgers' evolutionary method for concept analysis. The most common surrogate term was interdisciplinary collaboration. Related terms were interprofessional team, multidisciplinary team and teamwork. Attributes included: an evolving interpersonal process; shared goals, decision-making and care planning; interdependence; effective and frequent communication; evaluation of team processes; involving older adults and family members in the team; and diverse and flexible team membership. Antecedents comprised: role awareness; interprofessional education; trust between team members; belief that interprofessional collaboration improves care; and organizational support. Consequences included impacts on team composition and function, care planning processes and providers' knowledge, confidence and job satisfaction. Interprofessional collaboration is a complex evolving concept. Key components of interprofessional collaboration in chronic disease management for community-living older adults are identified. Implications for nursing practice, education and research are proposed. © 2016 John Wiley & Sons Ltd.

Longitudinal burnout-collaboration patterns in Japanese medical care workers at special needs schools: a latent class growth analysis

Directory of Open Access Journals (Sweden)

Kanayama M

2016-06-01

Full Text Available Mieko Kanayama,1 Machiko Suzuki,1 Yoshikazu Yuma2 1Department of Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan; 2Department of Human Development Education, Graduate School of Education, Hyogo University of Teacher Education, Kato, Hyogo, Japan Abstract: The present study aimed to identify and characterize potential burnout types and the relationship between burnout and collaboration over time. Latent class growth analysis and the growth mixture model were used to identify and characterize heterogeneous patterns of longitudinal stability and change in burnout, and the relationship between burnout and collaboration. We collected longitudinal data at three time points based on Japanese academic terms. The 396 study participants included academic teachers, yogo teachers, and registered nurses in Japanese special needs schools. The best model included four types of both burnout and collaboration in latent class growth analysis with intercept, slope, and quadratic terms. The four types of burnout were as follows: low stable, moderate unstable, high unstable, and high decreasing. They were identified as involving inverse collaboration function. The results indicated that there could be dynamic burnout types, namely moderate unstable, high unstable, and high decreasing, when focusing on growth trajectories in latent class analyses. The finding that collaboration was dynamic for dynamic burnout types and stable for stable burnout types is of great interest. This was probably related to the inverse relationship between the two constructs. Keywords: burnout, collaboration, latent class growth analysis, interprofessional care, special needs schools

Experience of Southern Chinese: new challenges in treating young female breast cancer patients at child-bearing age--a call for multi-disciplinary collaboration.

Science.gov (United States)

Kwong, Ava; Chu, Annie Tsz-Wai

2012-01-01

Compared with western populations, Southern Chinese, especially those residing in Hong Kong, are experiencing increasing breast cancer incidence and also a younger onset of breast cancer. Combating this problem and treating young women with breast cancer poses specific challenges and complicated considerations. With reference to the postponement in the age of marriage and reproduction in modern societies, the issue of fertility after breast cancer, especially for high-risk young patients, is one significant quality of life concern that cannot be underestimated as a secondary medical topic. While the issue has its significance and is confronting front-line breast cancer care teams of different disciplines, related research is mostly on Caucasians. In cultures where the traditional expectation on women for child-bearing is still prominent, young breast cancer patients may endure significant distress over fertility options after breast cancer. There is a lack of related data on Asian breast cancer survivors at child-bearing age, which calls for a pressing need to encourage qualitative groundwork, case reports, and cohort experiences in hope for providing insight and arouse research interest. In order to provide a long-term comprehensive multidisciplinary management service with encouragement to encompass prospects for a positive future among young breast cancer survivors, relevant disciplines need to collaborate and work efficaciously together both on clinical and research aspects of cancer-related fertility issues.

COLLABORATIVE TRIAL AND QUALITY CONTROL IN CHEMICAL ANALYSIS

Directory of Open Access Journals (Sweden)

Narsito Narsito

2010-06-01

Full Text Available Abstract                                                             This paper deals with some practical problems related to the quality of analytical chemical data usually met in practice. Special attention is given to the topic of quality control in analytical chemistry, since analytical data is one of the primary information from which some important scientifically based decision are to be made. The present paper starts with brief description on some fundamental aspects associated with quality of analytical data, such as sources of variation of analytical data, criteria for quality of analytical method, quality assurance in chemical analysis. The assessment of quality parameter for analytical method like the use of standard materials as well as standard methods is given. Concerning with the quality control of analytical data, the use of several techniques, such as control samples and control charts, in monitoring analytical data in quality control program are described qualitatively.  In the final part of this paper, some important remarks for the preparation of collaborative trials, including the evaluation of accuracy and reproducibility of analytical method are also given Keywords: collaborative trials, quality control, analytical data Abstract                                                             This paper deals with some practical problems related to the quality of analytical chemical data usually met in practice. Special attention is given to the topic of quality control in analytical chemistry, since analytical data is one of the primary information from which some important scientifically based decision are to be made. The present paper starts with brief description on some fundamental aspects associated with quality of analytical data, such as sources of variation of analytical data, criteria for quality of

Collaboration across the Arctic

DEFF Research Database (Denmark)

Huppert, Verena Gisela; Chuffart, Romain François R.

2017-01-01

The Arctic is witnessing the rise of a new paradigm caused by an increase in pan-Arctic collaborations which co-exist with the region’s traditional linkages with the South. Using an analysis of concrete examples of regional collaborations in the Arctic today in the fields of education, health...... and infrastructure, this paper questions whether pan-Arctic collaborations in the Arctic are more viable than North-South collaborations, and explores the reasons behind and the foreseeable consequences of such collaborations. It shows that the newly emerging East-West paradigm operates at the same time...... as the traditional North-South paradigm, with no signs of the East-West paradigm being more viable in the foreseeable future. However, pan-Arctic collaboration, both due to pragmatic reasons and an increased awareness of similarities, is likely to increase in the future. The increased regionalization process...

International Cancer Screening Network

Science.gov (United States)

The International Cancer Screening Network promotes evidence-based cancer screening implementation and evaluation with cooperation from multilateral organizations around the globe. Learn more about how ICSN aims to reduce the global burden of cancer by supporting research and international collaboration.

Risk Factors for Breast Cancer for Women Age 40 to 49: A Systematic Review and Meta-analysis

Science.gov (United States)

Nelson, Heidi D.; Zakher, Bernadette; Cantor, Amy; Fu, Rongwei; Griffin, Jessica; O’Meara, Ellen S.; Buist, Diana S.M.; Kerlikowske, Karla; van Ravesteyn, Nicolien T.; Trentham-Dietz, Amy; Mandelblatt, Jeanne; Miglioretti, Diana

2012-01-01

Background Identifying risk factors for breast cancer specific to women in their forties could inform screening decisions. Purpose To determine what factors increase risk for breast cancer in women age 40–49 years and the magnitudes of risk for each factor. Data Sources MEDLINE (January 1996 to November 2011), Cochrane Central Register of Controlled Trials and Cochrane Database of Systematic Reviews (fourth Quarter 2011), Scopus, and reference lists for published studies; and data from the Breast Cancer Surveillance Consortium (BCSC). Study Selection English-language studies and systematic reviews of risk factors for breast cancer in women age 40–49 years. Additional inclusion criteria were applied for each risk factor. Data Extraction Data on participants, study design, analysis, follow-up, and outcomes were abstracted. Study quality was rated using established criteria and only studies rated good or fair were included. Results were summarized using meta-analysis when sufficient studies were available, or from the best evidence based on study quality, size, and applicability when meta-analysis was not possible. BCSC data were analyzed with proportional hazards models using partly conditional Cox regression. Reference groups for comparisons were set at U.S. population means. Data Synthesis 65 studies provided data for estimates. Extremely dense breasts on mammography or first-degree relatives with breast cancer were associated with ≥2-fold increase in breast cancer. Prior breast biopsy, second degree relatives with breast cancer, or heterogeneously dense breasts were associated with 1.5–2.0 increased risk; current oral contraceptive use, nulliparity, and age ≥30 at first birth were associated with 1.0–1.5 increased risk. Limitations Studies varied by measures, reference groups, and adjustment for confounders; effects of multiple risk factors were not considered. Conclusions Extremely dense breasts and first degree relatives with breast cancer were each

Perceptual Factors Affecting the Tendency to Collaboration in SMEs: Perceived Importance of Collaboration Modes and Partners

Directory of Open Access Journals (Sweden)

Heeyong Noh

2015-10-01

Full Text Available This research aims to explore key factors of SMEs’ external collaboration and identifies the perceived factors affecting propensity for collaboration. Particularly, we focus on two factors – internal strategic activities geared towards open innovation and external collaboration partners, both of which are essential to establishing an external collaboration. We conducted a survey of Korean SMEs regarding their collaboration project experiences, and used logistic regression analysis to analyze the survey data. The research findings are expected to help understanding the complex open innovation mechanism in SMEs and to have meaningful implications for the development of their collaboration model.

Accelerating cancer systems biology research through Semantic Web technology.

Science.gov (United States)

Wang, Zhihui; Sagotsky, Jonathan; Taylor, Thomas; Shironoshita, Patrick; Deisboeck, Thomas S

2013-01-01

Cancer systems biology is an interdisciplinary, rapidly expanding research field in which collaborations are a critical means to advance the field. Yet the prevalent database technologies often isolate data rather than making it easily accessible. The Semantic Web has the potential to help facilitate web-based collaborative cancer research by presenting data in a manner that is self-descriptive, human and machine readable, and easily sharable. We have created a semantically linked online Digital Model Repository (DMR) for storing, managing, executing, annotating, and sharing computational cancer models. Within the DMR, distributed, multidisciplinary, and inter-organizational teams can collaborate on projects, without forfeiting intellectual property. This is achieved by the introduction of a new stakeholder to the collaboration workflow, the institutional licensing officer, part of the Technology Transfer Office. Furthermore, the DMR has achieved silver level compatibility with the National Cancer Institute's caBIG, so users can interact with the DMR not only through a web browser but also through a semantically annotated and secure web service. We also discuss the technology behind the DMR leveraging the Semantic Web, ontologies, and grid computing to provide secure inter-institutional collaboration on cancer modeling projects, online grid-based execution of shared models, and the collaboration workflow protecting researchers' intellectual property. Copyright © 2012 Wiley Periodicals, Inc.

Collaboration and E-collaboration

DEFF Research Database (Denmark)

Razmerita, Liana; Kirchner, Kathrin

2015-01-01

Understanding student’s perception of collaboration and how collaboration is supported by ICT is important for its efficient use in the classroom. This article aims to investigate how students perceive collaboration and how they use new technologies in collaborative group work. Furthermore......, it tries to measure the impact of technology on students’ satisfaction with collaboration outcomes. In particular, the study aims to address the following research questions: Which demographic information (e.g. gender and place of origin) is significant for collaboration and ecollaboration? and Which...... are the perceived factors that influence the students’ group performance? The findings of this study emphasize that there are gender and cultural differences with respect to the perception of e-collaboration. Furthermore, the article summarizes in a model the most significant factors influencing group performance....

Collaborative care for depression in European countries: a systematic review and meta-analysis.

Science.gov (United States)

Sighinolfi, Cecilia; Nespeca, Claudia; Menchetti, Marco; Levantesi, Paolo; Belvederi Murri, Martino; Berardi, Domenico

2014-10-01

This is a systematic review and meta-analysis of randomized controlled trials (RCTs) investigating the effectiveness of collaborative care compared to Primary Care Physician's (PCP's) usual care in the treatment of depression, focusing on European countries. A systematic review of English and non-English articles, from inception to March 2014, was performed using database PubMed, British Nursing Index and Archive, Ovid Medline (R), PsychINFO, Books@Ovid, PsycARTICLES Full Text, EMBASE Classic+Embase, DARE (Database of Abstract of Reviews of Effectiveness) and the Cochrane Library electronic database. Search term included depression, collaborative care, physician family and allied health professional. RCTs comparing collaborative care to usual care for depression in primary care were included. Titles and abstracts were independently examined by two reviewers, who extracted from the included trials information on participants' characteristics, type of intervention, features of collaborative care and type of outcome measure. The 17 papers included, regarding 15 RCTs, involved 3240 participants. Primary analyses showed that collaborative care models were associated with greater improvement in depression outcomes in the short term, within 3 months (standardized mean difference (SMD) -0.19, 95% CI=-0.33; -0.05; p=0.006), medium term, between 4 and 11 months (SMD -0.24, 95% CI=-0.39; -0.09; p=0.001) and medium-long term, from 12 months and over (SMD -0.21, 95% CI=-0.37; -0.04; p=0.01), compared to usual care. The present review, specifically focusing on European countries, shows that collaborative care is more effective than treatment as usual in improving depression outcomes. Copyright © 2014 Elsevier Inc. All rights reserved.

Web2.0 paves new ways for collaborative and exploratory analysis of Chemical Compounds in Spectrometry Data

Directory of Open Access Journals (Sweden)

Loyek Christian

2011-06-01

Full Text Available In nowadays life science projects, sharing data and data interpretation is becoming increasingly important. This considerably calls for novel information technology approaches, which enable the integration of expert knowledge from different disciplines in combination with advanced data analysis facilities in a collaborative manner. Since the recent development of web technologies offers scientific communities new ways for cooperation and communication, we propose a fully web-based software approach for the collaborative analysis of bioimage data and demonstrate the applicability of Web2.0 techniques to ion mobility spectrometry image data. Our approach allows collaborating experts to easily share, explore and discuss complex image data without any installation of software packages. Scientists only need a username and a password to get access to our system and can directly start exploring and analyzing their data.

Cohort profile: The Swedish National Register of Urinary Bladder Cancer (SNRUBC) and the Bladder Cancer Data Base Sweden (BladderBaSe)

Science.gov (United States)

Häggström, Christel; Liedberg, Fredrik; Hagberg, Oskar; Aljabery, Firas; Ströck, Viveka; Hosseini, Abolfazl; Gårdmark, Truls; Sherif, Amir; Malmström, Per-Uno; Garmo, Hans; Jahnson, Staffan; Holmberg, Lars

2017-01-01

Purpose To monitor the quality of bladder cancer care, the Swedish National Register of Urinary Bladder Cancer (SNRUBC) was initiated in 1997. During 2015, in order to study trends in incidence, effects of treatment and survival of men and women with bladder cancer, we linked the SNRUBC to other national healthcare and demographic registers and constructed the Bladder Cancer Data Base Sweden (BladderBaSe). Participants The SNRUBC is a nationwide register with detailed information on 97% of bladder cancer cases in Sweden as compared with the Swedish Cancer Register. Participants in the SNRUBC have registered data on tumour characteristics at diagnosis, and for 98% of these treatment data have been captured. From 2009, the SNRUBC holds data on 88% of eligible participants for follow-up 5 years after diagnosis of non-muscle invasive bladder cancer, and from 2011, data on surgery details and complications for 85% of participants treated with radical cystectomy. The BladderBaSe includes all data in the SNRUBC from 1997 to 2014, and additional covariates and follow-up data from linked national register sources on comorbidity, socioeconomic factors, detailed information on readmissions and treatment side effects, and causes of death. Findings to date Studies based on data in the SNRUBC have shown inequalities in survival and treatment indication by gender, regions and hospital volume. The BladderBaSe includes 38 658 participants registered in SNRUBC with bladder cancer diagnosed from 1 January 1997 to 31 December 2014. The BladderBaSe initiators are currently in collaboration with researchers from the SNRUBC investigating different aspects of bladder cancer survival. Future plans The SNRUBC and the BladderBaSe project are open for collaborations with national and international research teams. Collaborators can submit proposals for studies and study files can be uploaded to servers for remote access and analysis. For more information, please contact the corresponding

Cohort profile: The Swedish National Register of Urinary Bladder Cancer (SNRUBC) and the Bladder Cancer Data Base Sweden (BladderBaSe).

Science.gov (United States)

Häggström, Christel; Liedberg, Fredrik; Hagberg, Oskar; Aljabery, Firas; Ströck, Viveka; Hosseini, Abolfazl; Gårdmark, Truls; Sherif, Amir; Malmström, Per-Uno; Garmo, Hans; Jahnson, Staffan; Holmberg, Lars

2017-09-27

To monitor the quality of bladder cancer care, the Swedish National Register of Urinary Bladder Cancer (SNRUBC) was initiated in 1997. During 2015, in order to study trends in incidence, effects of treatment and survival of men and women with bladder cancer, we linked the SNRUBC to other national healthcare and demographic registers and constructed the Bladder Cancer Data Base Sweden (BladderBaSe). The SNRUBC is a nationwide register with detailed information on 97% of bladder cancer cases in Sweden as compared with the Swedish Cancer Register. Participants in the SNRUBC have registered data on tumour characteristics at diagnosis, and for 98% of these treatment data have been captured. From 2009, the SNRUBC holds data on 88% of eligible participants for follow-up 5 years after diagnosis of non-muscle invasive bladder cancer, and from 2011, data on surgery details and complications for 85% of participants treated with radical cystectomy. The BladderBaSe includes all data in the SNRUBC from 1997 to 2014, and additional covariates and follow-up data from linked national register sources on comorbidity, socioeconomic factors, detailed information on readmissions and treatment side effects, and causes of death. Studies based on data in the SNRUBC have shown inequalities in survival and treatment indication by gender, regions and hospital volume. The BladderBaSe includes 38 658 participants registered in SNRUBC with bladder cancer diagnosed from 1 January 1997 to 31 December 2014. The BladderBaSe initiators are currently in collaboration with researchers from the SNRUBC investigating different aspects of bladder cancer survival. The SNRUBC and the BladderBaSe project are open for collaborations with national and international research teams. Collaborators can submit proposals for studies and study files can be uploaded to servers for remote access and analysis. For more information, please contact the corresponding author. © Article author(s) (or their employer

Cytobank: providing an analytics platform for community cytometry data analysis and collaboration.

Science.gov (United States)

Chen, Tiffany J; Kotecha, Nikesh

2014-01-01

Cytometry is used extensively in clinical and laboratory settings to diagnose and track cell subsets in blood and tissue. High-throughput, single-cell approaches leveraging cytometry are developed and applied in the computational and systems biology communities by researchers, who seek to improve the diagnosis of human diseases, map the structures of cell signaling networks, and identify new cell types. Data analysis and management present a bottleneck in the flow of knowledge from bench to clinic. Multi-parameter flow and mass cytometry enable identification of signaling profiles of patient cell samples. Currently, this process is manual, requiring hours of work to summarize multi-dimensional data and translate these data for input into other analysis programs. In addition, the increase in the number and size of collaborative cytometry studies as well as the computational complexity of analytical tools require the ability to assemble sufficient and appropriately configured computing capacity on demand. There is a critical need for platforms that can be used by both clinical and basic researchers who routinely rely on cytometry. Recent advances provide a unique opportunity to facilitate collaboration and analysis and management of cytometry data. Specifically, advances in cloud computing and virtualization are enabling efficient use of large computing resources for analysis and backup. An example is Cytobank, a platform that allows researchers to annotate, analyze, and share results along with the underlying single-cell data.

Collaborative Video Sketching

DEFF Research Database (Denmark)

Henningsen, Birgitte; Gundersen, Peter Bukovica; Hautopp, Heidi

2017-01-01

This paper introduces to what we define as a collaborative video sketching process. This process links various sketching techniques with digital storytelling approaches and creative reflection processes in video productions. Traditionally, sketching has been used by designers across various...... findings: 1) They are based on a collaborative approach. 2) The sketches act as a mean to externalizing hypotheses and assumptions among the participants. Based on our analysis we present an overview of factors involved in collaborative video sketching and shows how the factors relate to steps, where...... the participants: shape, record, review and edit their work, leading the participants to new insights about their work....

Assessing Online Collaborative Discourse.

Science.gov (United States)

Breen, Henny

2015-01-01

This qualitative study using transcript analysis was undertaken to clarify the value of Harasim's Online Collaborative Learning Theory as a way to assess the collaborative process within nursing education. The theory incorporated three phases: (a) idea generating; (b) idea organizing; and (c) intellectual convergence. The transcripts of asynchronous discussions from a 2-week module about disaster nursing using a virtual community were analyzed and formed the data for this study. This study supports the use of Online Collaborative Learning Theory as a framework for assessing online collaborative discourse. Individual or group outcomes were required for the students to move through all three phases of the theory. The phases of the Online Collaborative Learning Theory could be used to evaluate the student's ability to collaborate. It is recommended that group process skills, which have more to do with interpersonal skills, be evaluated separately from collaborative learning, which has more to do with cognitive skills. Both are required for practicing nurses. When evaluated separately, the student learning needs are more clearly delineated. © 2014 Wiley Periodicals, Inc.

Advanced Cancer Detection Center

National Research Council Canada - National Science Library

Ruckdeschel, John

1999-01-01

... through screening, and the testing of methods to prevent cancer. In addition, the Center created and supports education programs to provide increased cancer awareness and established working collaborations with the James...

Collaborative Systems – Finite State Machines

Directory of Open Access Journals (Sweden)

Ion IVAN

2011-01-01

Full Text Available In this paper the finite state machines are defined and formalized. There are presented the collaborative banking systems and their correspondence is done with finite state machines. It highlights the role of finite state machines in the complexity analysis and performs operations on very large virtual databases as finite state machines. It builds the state diagram and presents the commands and documents transition between the collaborative systems states. The paper analyzes the data sets from Collaborative Multicash Servicedesk application and performs a combined analysis in order to determine certain statistics. Indicators are obtained, such as the number of requests by category and the load degree of an agent in the collaborative system.

Managing Distributed Innovation Processes in Virtual Organizations by Applying the Collaborative Network Relationship Analysis

Science.gov (United States)

Eschenbächer, Jens; Seifert, Marcus; Thoben, Klaus-Dieter

Distributed innovation processes are considered as a new option to handle both the complexity and the speed in which new products and services need to be prepared. Indeed most research on innovation processes was focused on multinational companies with an intra-organisational perspective. The phenomena of innovation processes in networks - with an inter-organisational perspective - have been almost neglected. Collaborative networks present a perfect playground for such distributed innovation processes whereas the authors highlight in specific Virtual Organisation because of their dynamic behaviour. Research activities supporting distributed innovation processes in VO are rather new so that little knowledge about the management of such research is available. With the presentation of the collaborative network relationship analysis this gap will be addressed. It will be shown that a qualitative planning of collaboration intensities can support real business cases by proving knowledge and planning data.

Longitudinal burnout-collaboration patterns in Japanese medical care workers at special needs schools: a latent class growth analysis

Science.gov (United States)

Kanayama, Mieko; Suzuki, Machiko; Yuma, Yoshikazu

2016-01-01

The present study aimed to identify and characterize potential burnout types and the relationship between burnout and collaboration over time. Latent class growth analysis and the growth mixture model were used to identify and characterize heterogeneous patterns of longitudinal stability and change in burnout, and the relationship between burnout and collaboration. We collected longitudinal data at three time points based on Japanese academic terms. The 396 study participants included academic teachers, yogo teachers, and registered nurses in Japanese special needs schools. The best model included four types of both burnout and collaboration in latent class growth analysis with intercept, slope, and quadratic terms. The four types of burnout were as follows: low stable, moderate unstable, high unstable, and high decreasing. They were identified as involving inverse collaboration function. The results indicated that there could be dynamic burnout types, namely moderate unstable, high unstable, and high decreasing, when focusing on growth trajectories in latent class analyses. The finding that collaboration was dynamic for dynamic burnout types and stable for stable burnout types is of great interest. This was probably related to the inverse relationship between the two constructs. PMID:27366107

Adjuvant therapy in the treatment of gallbladder cancer: a meta-analysis

International Nuclear Information System (INIS)

Ma, Ning; Cheng, Hui; Qin, Baodong; Zhong, Renqian; Wang, Bin

2015-01-01

The benefit of adjuvant therapy (AT) for gallbladder cancer (GBC) is unclear as evidenced by conflicting results from nonrandomized studies. Here we aimed to perform a meta-analysis to determine the impact of AT on overall survival (OS). We used data from MEDLINE, EMBASE and the Cochrane Collaboration Library and published between October 1967 and October 2014. Studies that evaluated AT compared with curative-intent surgery alone for resected GBC were included. Subgroup analyses of benefit based on node status, margins status, and American Joint Committee on Cancer (AJCC) staging were prespecified. Data were weighted and pooled using random-effect modeling. Ten retrospective studies involving 3,191 patients were analyzed. There was a nonsignificant improvement in OS with AT compared with surgery alone (hazard ratio [HR], 0.76; 95 % confidence interval [CI], 0.56–1.03). A significant improvement was observed in OS with chemotherapy (CT) compared with surgery alone (HR, 0.42; 95 % CI, 0.22–0.80) by sensitivity analysis. The greatest benefit for AT was also observed in those with R1 disease (HR, 0.33; 95 % CI, 0.19–0.59), LN-positive disease (HR, 0.71; 95 % CI, 0.63–0.81), and AJCC staging meeting or exceeding tumor Stage II (HR, 0.45; 95 % CI, 0.26–0.79), but not in those with LN-negative or R0 disease. Our results strongly support the use of CT as an AT in GBC. Moreover, patients with node positivity, margin positivity, or non-stage I disease are more likely to benefit from AT

Formation of a collaborative society

OpenAIRE

Buřita, Ladislav; Ondryhal, Vojtěch

2014-01-01

The MilUNI knowledge portal, based on the knowledge base developed in ATOM software has been created at the authors' workplace with the aim to form a collaborative society of military universities. The analysis of the collaborative society concept is presented. The description of the MilUNI project is included. Some areas for university cooperation are proposed, as well as the measures facilitating the formation and development of the collaborative society.

Databases and web tools for cancer genomics study.

Science.gov (United States)

Yang, Yadong; Dong, Xunong; Xie, Bingbing; Ding, Nan; Chen, Juan; Li, Yongjun; Zhang, Qian; Qu, Hongzhu; Fang, Xiangdong

2015-02-01

Publicly-accessible resources have promoted the advance of scientific discovery. The era of genomics and big data has brought the need for collaboration and data sharing in order to make effective use of this new knowledge. Here, we describe the web resources for cancer genomics research and rate them on the basis of the diversity of cancer types, sample size, omics data comprehensiveness, and user experience. The resources reviewed include data repository and analysis tools; and we hope such introduction will promote the awareness and facilitate the usage of these resources in the cancer research community. Copyright © 2015 The Authors. Production and hosting by Elsevier Ltd.. All rights reserved.

Postdoctoral Fellow | Center for Cancer Research

Science.gov (United States)

Dr. St. Croix’s laboratory at the Mouse Cancer Genetics Program (MCGP), National Cancer Institute, USA has an open postdoctoral position. We seek a highly motivated, creative and bright individual to participate in a collaborative project that involves the targeting of tumor-associated stroma using T-cells engineered to express chimeric antigen receptors (CARs). The laboratory focuses on the characterization and exploitation of molecules associated with tumor angiogenesis. The successful candidate would be involved in developing, producing and characterizing new therapeutic antibodies and CARs that recognize cancer cells or its associated stroma, and preclinical testing of these agents using mouse tumor models. The tumor angiogenesis lab is located at the National Cancer Institute in Frederick with access to state-of-the-art facilities for antibody engineering, genomic analysis, pathology, and small animal imaging, among others. Detailed information about Dr. St. Croix’s research and publications can be accessed at https://ccr.cancer.gov/Mouse-Cancer-Genetics-Program/brad-st-croix.

The collaboration of general practitioners and nurses in primary care: a comparative analysis of concepts and practices in Slovenia and Spain.

Science.gov (United States)

Hämel, Kerstin; Vössing, Carina

2017-09-01

Aim A comparative analysis of concepts and practices of GP-nurse collaborations in primary health centres in Slovenia and Spain. Cross-professional collaboration is considered a key element for providing high-quality comprehensive care by combining the expertise of various professions. In many countries, nurses are also being given new and more extensive responsibilities. Implemented concepts of collaborative care need to be analysed within the context of care concepts, organisational structures, and effective collaboration. Background review of primary care concepts (literature analysis, expert interviews), and evaluation of collaboration in 'best practice' health centres in certain regions of Slovenia and Spain. Qualitative content analysis of expert interviews, presentations, observations, and group discussions with professionals and health centre managers. Findings In Slovenian health centres, the collaboration between GPs and nurses has been strongly shaped by their organisation in separate care units and predominantly case-oriented functions. Conventional power structures between professions hinder effective collaboration. The introduction of a new cross-professional primary care concept has integrated advanced practice nurses into general practice. Conventional hierarchies still exist, but a shared vision of preventive care is gradually strengthening attitudes towards team-oriented care. Formal regulations or incentives for teamwork have yet to be implemented. In Spain, health centres were established along with a team-based care concept that encompasses close physician-nurse collaboration and an autonomous role for nurses in the care process. Nurses collaborate with GPs on more equal terms with conflicts centring on professional disagreements. Team development structures and financial incentives for team achievements have been implemented, encouraging teams to generate their own strategies to improve teamwork. Clearly defined structures, shared visions of

Collaborative Modeling of the Benefits and Harms Associated With Different U.S. Breast Cancer Screening Strategies.

Science.gov (United States)

Mandelblatt, Jeanne S; Stout, Natasha K; Schechter, Clyde B; van den Broek, Jeroen J; Miglioretti, Diana L; Krapcho, Martin; Trentham-Dietz, Amy; Munoz, Diego; Lee, Sandra J; Berry, Donald A; van Ravesteyn, Nicolien T; Alagoz, Oguzhan; Kerlikowske, Karla; Tosteson, Anna N A; Near, Aimee M; Hoeffken, Amanda; Chang, Yaojen; Heijnsdijk, Eveline A; Chisholm, Gary; Huang, Xuelin; Huang, Hui; Ergun, Mehmet Ali; Gangnon, Ronald; Sprague, Brian L; Plevritis, Sylvia; Feuer, Eric; de Koning, Harry J; Cronin, Kathleen A

2016-02-16

Controversy persists about optimal mammography screening strategies. To evaluate screening outcomes, taking into account advances in mammography and treatment of breast cancer. Collaboration of 6 simulation models using national data on incidence, digital mammography performance, treatment effects, and other-cause mortality. United States. Average-risk U.S. female population and subgroups with varying risk, breast density, or comorbidity. Eight strategies differing by age at which screening starts (40, 45, or 50 years) and screening interval (annual, biennial, and hybrid [annual for women in their 40s and biennial thereafter]). All strategies assumed 100% adherence and stopped at age 74 years. Benefits (breast cancer-specific mortality reduction, breast cancer deaths averted, life-years, and quality-adjusted life-years); number of mammograms used; harms (false-positive results, benign biopsies, and overdiagnosis); and ratios of harms (or use) and benefits (efficiency) per 1000 screens. Biennial strategies were consistently the most efficient for average-risk women. Biennial screening from age 50 to 74 years avoided a median of 7 breast cancer deaths versus no screening; annual screening from age 40 to 74 years avoided an additional 3 deaths, but yielded 1988 more false-positive results and 11 more overdiagnoses per 1000 women screened. Annual screening from age 50 to 74 years was inefficient (similar benefits, but more harms than other strategies). For groups with a 2- to 4-fold increased risk, annual screening from age 40 years had similar harms and benefits as screening average-risk women biennially from 50 to 74 years. For groups with moderate or severe comorbidity, screening could stop at age 66 to 68 years. Other imaging technologies, polygenic risk, and nonadherence were not considered. Biennial screening for breast cancer is efficient for average-risk populations. Decisions about starting ages and intervals will depend on population characteristics and the

Breast cancer histopathology image analysis: a review.

Science.gov (United States)

Veta, Mitko; Pluim, Josien P W; van Diest, Paul J; Viergever, Max A

2014-05-01

This paper presents an overview of methods that have been proposed for the analysis of breast cancer histopathology images. This research area has become particularly relevant with the advent of whole slide imaging (WSI) scanners, which can perform cost-effective and high-throughput histopathology slide digitization, and which aim at replacing the optical microscope as the primary tool used by pathologist. Breast cancer is the most prevalent form of cancers among women, and image analysis methods that target this disease have a huge potential to reduce the workload in a typical pathology lab and to improve the quality of the interpretation. This paper is meant as an introduction for nonexperts. It starts with an overview of the tissue preparation, staining and slide digitization processes followed by a discussion of the different image processing techniques and applications, ranging from analysis of tissue staining to computer-aided diagnosis, and prognosis of breast cancer patients.

Epigenetics and cancer

DEFF Research Database (Denmark)

Lund, Anders H; van Lohuizen, Maarten

2004-01-01

Epigenetic mechanisms act to change the accessibility of chromatin to transcriptional regulation locally and globally via modifications of the DNA and by modification or rearrangement of nucleosomes. Epigenetic gene regulation collaborates with genetic alterations in cancer development. This is e......Epigenetic mechanisms act to change the accessibility of chromatin to transcriptional regulation locally and globally via modifications of the DNA and by modification or rearrangement of nucleosomes. Epigenetic gene regulation collaborates with genetic alterations in cancer development....... This is evident from every aspect of tumor biology including cell growth and differentiation, cell cycle control, DNA repair, angiogenesis, migration, and evasion of host immunosurveillance. In contrast to genetic cancer causes, the possibility of reversing epigenetic codes may provide new targets for therapeutic...

Supply chain collaboration in industrial symbiosis networks

DEFF Research Database (Denmark)

Herczeg, Gabor; Akkerman, Renzo; Hauschild, Michael Zwicky

2018-01-01

A strategy supporting the development towards a circular economy is industrial symbiosis (IS). It is a form of collaborative supply chain management aiming to make industry more sustainable and achieve collective benefits based on utilization of waste, by-products, and excess utilities between...... economically independent industries. Based on an extensive analysis of published studies on existing IS collaborations and interviews with central stakeholders of a comprehensive IS, this paper investigates IS from a supply chain collaboration perspective. A theoretical framework is built and used to discuss...... how industrial symbiosis pursues sustainability and to identify the main collaboration aspects and performance impacts. This framework is then used in the analysis of selected published cases. Based on this, we derive propositions on the organizational and operational requirements for collaboration...

Comparative proteomics analysis of oral cancer cell lines: identification of cancer associated proteins

Science.gov (United States)

2014-01-01

Background A limiting factor in performing proteomics analysis on cancerous cells is the difficulty in obtaining sufficient amounts of starting material. Cell lines can be used as a simplified model system for studying changes that accompany tumorigenesis. This study used two-dimensional gel electrophoresis (2DE) to compare the whole cell proteome of oral cancer cell lines vs normal cells in an attempt to identify cancer associated proteins. Results Three primary cell cultures of normal cells with a limited lifespan without hTERT immortalization have been successfully established. 2DE was used to compare the whole cell proteome of these cells with that of three oral cancer cell lines. Twenty four protein spots were found to have changed in abundance. MALDI TOF/TOF was then used to determine the identity of these proteins. Identified proteins were classified into seven functional categories – structural proteins, enzymes, regulatory proteins, chaperones and others. IPA core analysis predicted that 18 proteins were related to cancer with involvements in hyperplasia, metastasis, invasion, growth and tumorigenesis. The mRNA expressions of two proteins – 14-3-3 protein sigma and Stress-induced-phosphoprotein 1 – were found to correlate with the corresponding proteins’ abundance. Conclusions The outcome of this analysis demonstrated that a comparative study of whole cell proteome of cancer versus normal cell lines can be used to identify cancer associated proteins. PMID:24422745

Developing a PTEN-ERG Signature to Improve Molecular Risk Stratification in Prostate Cancer

Science.gov (United States)

2017-10-01

performed exploratory data analysis on all clinically annotated prostate cancer datasets available from the public domain and through the collaboration...with GenomeDX. We used statistical summaries and data visualizations techniques (e.g., principal component analysis , hierarchical clustering) to...associated with PTEN loss on genetically homogeneous ERG-positive and ERG- negative backgrounds. Timeline (Months) Major Task 2: Perform CAGE analysis

Dietary patterns and colorectal cancer risk: a meta-analysis.

Science.gov (United States)

Feng, Yu-Liang; Shu, Long; Zheng, Pei-Fen; Zhang, Xiao-Yan; Si, Cai-Juan; Yu, Xiao-Long; Gao, Wei; Zhang, Lun

2017-05-01

The analysis of dietary patterns has recently drawn considerable attention as a method of investigating the association between the overall whole diet and the risk of colorectal cancer. However, the results have yielded conflicting findings. Here, we carried out a meta-analysis to identify the association between dietary patterns and the risk of colorectal cancer. A total of 40 studies fulfilled the inclusion criteria and were included in this meta-analysis. The highest category of 'healthy' dietary pattern compared with the lowest category was apparently associated with a decreased risk for colorectal cancer [odds ratio (OR)=0.75; confidence interval (CI): 0.68-0.83; Pcolorectal cancer was shown for the highest compared with the lowest category of a 'western-style' dietary pattern (OR=1.40; CI: 1.26-1.56; Pcolorectal cancer in the highest compared with the lowest category of 'alcohol-consumption' pattern (OR=1.44; CI: 1.13-1.82; P=0.003). The results of this meta-analysis indicate that a 'healthy' dietary pattern may decrease the risk of colorectal cancer, whereas 'western-style' and 'alcohol-consumption' patterns may increase the risk of colorectal cancer.

Challenges and opportunities in international molecular cancer prevention research: An ASPO Molecular Epidemiology and the Environment and International Cancer Prevention Interest Groups Report.

Science.gov (United States)

Epplein, Meira; Bostick, Roberd M; Mu, Lina; Ogino, Shuji; Braithwaite, Dejana; Kanetsky, Peter A

2014-11-01

The International Agency for Research on Cancer estimates that over half of the new cancer cases and almost two-thirds of the cancer deaths in 2012 occurred in low and middle income countries. To discuss the challenges and opportunities to reducing the burden of cancer worldwide, the Molecular Epidemiology and the Environment and the International Issues in Cancer Special Interest Groups joined forces to hold a session during the 38th Annual Meeting of the American Society of Preventive Oncology (March 2014, Arlington, Virginia). The session highlighted three topics of particular interest to molecular cancer prevention researchers working internationally, specifically: 1) biomarkers in cancer research; 2) environmental exposures and cancer; and 3) molecular pathological epidemiology. A major factor for successful collaboration illuminated during the discussion was the need for strong, committed, and reliable international partners. A key element of establishing such relationships is to thoroughly involve individual international collaborators in the development of the research question; engaged international collaborators are particularly motivated to champion and shepherd the project through all necessary steps, including issues relating to institutional review boards, political sensitivity, laboratory-based assays, and tumor subtyping. Also essential is allotting time for the building, maintaining, and investing in such relationships so that successful international collaborations may take root and bloom. While there are many challenges inherent to international molecular cancer research, the opportunities for furthering the science and prevention of cancer worldwide are great, particularly at this time of increasing cancer incidence and prevalence in low and middle income countries. ©2014 American Association for Cancer Research.

Meta-Analysis of Massage Therapy on Cancer Pain.

Science.gov (United States)

Lee, Sook-Hyun; Kim, Jong-Yeop; Yeo, Sujung; Kim, Sung-Hoon; Lim, Sabina

2015-07-01

Cancer pain is the most common complaint among patients with cancer. Conventional treatment does not always relieve cancer pain satisfactorily. Therefore, many patients with cancer have turned to complementary therapies to help them with their physical, emotional, and spiritual well-being. Massage therapy is increasingly used for symptom relief in patients with cancer. The current study aimed to investigate by meta-analysis the effects of massage therapy for cancer patients experiencing pain. Nine electronic databases were systematically searched for studies published through August 2013 in English, Chinese, and Korean. Methodological quality was assessed using the Physiotherapy Evidence Database (PEDro) and Cochrane risk-of-bias scales. Twelve studies, including 559 participants, were used in the meta-analysis. In 9 high-quality studies based on the PEDro scale (standardized mean difference, -1.24; 95% confidence interval, -1.72 to -0.75), we observed reduction in cancer pain after massage. Massage therapy significantly reduced cancer pain compared with no massage treatment or conventional care (standardized mean difference, -1.25; 95% confidence interval, -1.63 to -0.87). Our results indicate that massage is effective for the relief of cancer pain, especially for surgery-related pain. Among the various types of massage, foot reflexology appeared to be more effective than body or aroma massage. Our meta-analysis indicated a beneficial effect of massage for relief of cancer pain. Further well-designed, large studies with longer follow-up periods are needed to be able to draw firmer conclusions regarding the effectiveness. © The Author(s) 2015.

Ovarian cancer screening and mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial

Science.gov (United States)

Jacobs, Ian J; Menon, Usha; Ryan, Andy; Gentry-Maharaj, Aleksandra; Burnell, Matthew; Kalsi, Jatinderpal K; Amso, Nazar N; Apostolidou, Sophia; Benjamin, Elizabeth; Cruickshank, Derek; Crump, Danielle N; Davies, Susan K; Dawnay, Anne; Dobbs, Stephen; Fletcher, Gwendolen; Ford, Jeremy; Godfrey, Keith; Gunu, Richard; Habib, Mariam; Hallett, Rachel; Herod, Jonathan; Jenkins, Howard; Karpinskyj, Chloe; Leeson, Simon; Lewis, Sara J; Liston, William R; Lopes, Alberto; Mould, Tim; Murdoch, John; Oram, David; Rabideau, Dustin J; Reynolds, Karina; Scott, Ian; Seif, Mourad W; Sharma, Aarti; Singh, Naveena; Taylor, Julie; Warburton, Fiona; Widschwendter, Martin; Williamson, Karin; Woolas, Robert; Fallowfield, Lesley; McGuire, Alistair J; Campbell, Stuart; Parmar, Mahesh; Skates, Steven J

2016-01-01

Summary Background Ovarian cancer has a poor prognosis, with just 40% of patients surviving 5 years. We designed this trial to establish the effect of early detection by screening on ovarian cancer mortality. Methods In this randomised controlled trial, we recruited postmenopausal women aged 50–74 years from 13 centres in National Health Service Trusts in England, Wales, and Northern Ireland. Exclusion criteria were previous bilateral oophorectomy or ovarian malignancy, increased risk of familial ovarian cancer, and active non-ovarian malignancy. The trial management system confirmed eligibility and randomly allocated participants in blocks of 32 using computer-generated random numbers to annual multimodal screening (MMS) with serum CA125 interpreted with use of the risk of ovarian cancer algorithm, annual transvaginal ultrasound screening (USS), or no screening, in a 1:1:2 ratio. The primary outcome was death due to ovarian cancer by Dec 31, 2014, comparing MMS and USS separately with no screening, ascertained by an outcomes committee masked to randomisation group. All analyses were by modified intention to screen, excluding the small number of women we discovered after randomisation to have a bilateral oophorectomy, have ovarian cancer, or had exited the registry before recruitment. Investigators and participants were aware of screening type. This trial is registered with ClinicalTrials.gov, number NCT00058032. Findings Between June 1, 2001, and Oct 21, 2005, we randomly allocated 202 638 women: 50 640 (25·0%) to MMS, 50 639 (25·0%) to USS, and 101 359 (50·0%) to no screening. 202 546 (>99·9%) women were eligible for analysis: 50 624 (>99·9%) women in the MMS group, 50 623 (>99·9%) in the USS group, and 101 299 (>99·9%) in the no screening group. Screening ended on Dec 31, 2011, and included 345 570 MMS and 327 775 USS annual screening episodes. At a median follow-up of 11·1 years (IQR 10·0–12·0), we diagnosed ovarian cancer in

Colorectal cancer stages transcriptome analysis.

Directory of Open Access Journals (Sweden)

Tianyao Huo

Full Text Available Colorectal cancer (CRC is the third most common cancer and the second leading cause of cancer-related deaths in the United States. The purpose of this study was to evaluate the gene expression differences in different stages of CRC. Gene expression data on 433 CRC patient samples were obtained from The Cancer Genome Atlas (TCGA. Gene expression differences were evaluated across CRC stages using linear regression. Genes with p≤0.001 in expression differences were evaluated further in principal component analysis and genes with p≤0.0001 were evaluated further in gene set enrichment analysis. A total of 377 patients with gene expression data in 20,532 genes were included in the final analysis. The numbers of patients in stage I through IV were 59, 147, 116 and 55, respectively. NEK4 gene, which encodes for NIMA related kinase 4, was differentially expressed across the four stages of CRC. The stage I patients had the highest expression of NEK4 genes, while the stage IV patients had the lowest expressions (p = 9*10-6. Ten other genes (RNF34, HIST3H2BB, NUDT6, LRCh4, GLB1L, HIST2H4A, TMEM79, AMIGO2, C20orf135 and SPSB3 had p value of 0.0001 in the differential expression analysis. Principal component analysis indicated that the patients from the 4 clinical stages do not appear to have distinct gene expression pattern. Network-based and pathway-based gene set enrichment analyses showed that these 11 genes map to multiple pathways such as meiotic synapsis and packaging of telomere ends, etc. Ten of these 11 genes were linked to Gene Ontology terms such as nucleosome, DNA packaging complex and protein-DNA interactions. The protein complex-based gene set analysis showed that four genes were involved in H2AX complex II. This study identified a small number of genes that might be associated with clinical stages of CRC. Our analysis was not able to find a molecular basis for the current clinical staging for CRC based on the gene expression patterns.

Canonical correlation analysis between collaborative networks and innovation: A case study in information technology companies in province of Tehran, Iran

Directory of Open Access Journals (Sweden)

Ahmad Jafar Nejad

2013-07-01

Full Text Available The increase competitions as well as technological advancements have created motivation among business owners to look for more innovative ideas from outside their organizations. Many enterprises collaborate with other organizations to empower themselves through innovative ideas. These kinds of collaborations can be observed as a concept called Regional Innovation System. These collaborations include inter-firm collaborations, research organizations, intermediary institutions and governmental agencies. The primary objective of this paper is to evaluate relationships between Collaborative Networks and Innovation in information technology business units located in province of Tehran, Iran. The research method utilized for the present study is descriptive-correlation. To evaluate the relationships between independent and dependent variables, canonical correlation analysis (CCA is used. The results confirm the previous findings regarding the relationship between Collaborative Networks and Innovation. Among various dimensions of Collaboration, Collaboration with governmental agencies had a very small impact on the relationship between collaboration networks and innovation. In addition, the results show that in addition to affecting product innovation and process innovation, collaboration networks also affected management innovation.

Collaboration around Research and Education (Care) in Prostate Cancer

National Research Council Canada - National Science Library

Price, Marva M

2008-01-01

...) an historically black college or university (HBCU). Our goal is to build a collaborative relationship between Duke University and Bennett that brings together students and faculty mentors to facilitate opportunities for underrepresented minority...

19 July 2013 - Chairman of the Policy Committee, European Cancer Organisation, President, European Association for Cancer Research E. Celis visiting the ATLAS experimental cavern with ATLAS Collaboration Deputy Spokesperson, B. Heinemann and signing the Guest Book with Director for Accelerators and Technology S. Myers. Life Sciences Adviser M. Dosanjh present.

CERN Multimedia

Anna Pantelia

2013-01-01

19 July 2013 - Chairman of the Policy Committee, European Cancer Organisation, President, European Association for Cancer Research E. Celis visiting the ATLAS experimental cavern with ATLAS Collaboration Deputy Spokesperson, B. Heinemann and signing the Guest Book with Director for Accelerators and Technology S. Myers. Life Sciences Adviser M. Dosanjh present.

Remote Collaboration With Mixed Reality Displays

DEFF Research Database (Denmark)

Müller, Jens; Rädle, Roman; Reiterer, Harald

2017-01-01

HCI research has demonstrated Mixed Reality (MR) as being beneficial for co-located collaborative work. For remote collaboration, however, the collaborators' visual contexts do not coincide due to their individual physical environments. The problem becomes apparent when collaborators refer...... to physical landmarks in their individual environments to guide each other's attention. In an experimental study with 16 dyads, we investigated how the provisioning of shared virtual landmarks (SVLs) influences communication behavior and user experience. A quantitative analysis revealed that participants used...

Obesity-Linked Mouse Models of Liver Cancer | Center for Cancer Research

Science.gov (United States)

Jimmy Stauffer, Ph.D., and colleagues working with Robert  Wiltrout, Ph.D., in CCR’s Cancer and Inflammation Program, along with collaborators in the Laboratory of Human Carcinogenesis, have developed a novel mouse model that demonstrates how fat-producing phenotypes can influence the development of hepatic cancer.   The team recently reported their findings in Cancer Research.

A Descriptive Account of an Inter-Professional Collaborative Leadership Project

Directory of Open Access Journals (Sweden)

Maura MacPhee

2014-09-01

Full Text Available A collaborative project between an academic healthcare faculty and a professional development director resulted in the design, delivery and evaluation of an inter-professional collaborative leadership workshop with ongoing leadership development activities. The workshop attendees were five inter-professional teams from one large, urban cancer care center in Taipei, Taiwan. The workshop included didactic instruction complemented with team discussions and interactive exercises. Continued practice was encouraged, such as appreciative inquiry exercises and rotated team leadership. Evaluation involved the use of a cross-culturally validated collaborative practice tool and follow-up interviews and focus groups. Although the formal workshop was a 1-day session, continued organizational support and systematic approaches to collaborative leadership practice in clinical settings were necessary components for transfer of learning from the workshop to real life. This paper will include an overview of the foundational leadership concepts covered in the workshop. The instructional strategies, evaluation methods and outcomes will be discussed. The limitations and strengths of this collaborative leadership project will be provided, as well as future plans for a collaborative leadership development program.

Online molecular image repository and analysis system: A multicenter collaborative open-source infrastructure for molecular imaging research and application.

Science.gov (United States)

Rahman, Mahabubur; Watabe, Hiroshi

2018-05-01

Molecular imaging serves as an important tool for researchers and clinicians to visualize and investigate complex biochemical phenomena using specialized instruments; these instruments are either used individually or in combination with targeted imaging agents to obtain images related to specific diseases with high sensitivity, specificity, and signal-to-noise ratios. However, molecular imaging, which is a multidisciplinary research field, faces several challenges, including the integration of imaging informatics with bioinformatics and medical informatics, requirement of reliable and robust image analysis algorithms, effective quality control of imaging facilities, and those related to individualized disease mapping, data sharing, software architecture, and knowledge management. As a cost-effective and open-source approach to address these challenges related to molecular imaging, we develop a flexible, transparent, and secure infrastructure, named MIRA, which stands for Molecular Imaging Repository and Analysis, primarily using the Python programming language, and a MySQL relational database system deployed on a Linux server. MIRA is designed with a centralized image archiving infrastructure and information database so that a multicenter collaborative informatics platform can be built. The capability of dealing with metadata, image file format normalization, and storing and viewing different types of documents and multimedia files make MIRA considerably flexible. With features like logging, auditing, commenting, sharing, and searching, MIRA is useful as an Electronic Laboratory Notebook for effective knowledge management. In addition, the centralized approach for MIRA facilitates on-the-fly access to all its features remotely through any web browser. Furthermore, the open-source approach provides the opportunity for sustainable continued development. MIRA offers an infrastructure that can be used as cross-boundary collaborative MI research platform for the rapid

Remote Collaboration, Decision Support, and On-Demand Medical Image Analysis for Acute Stroke Care

NARCIS (Netherlands)

Sales Barros, Renan; Borst, Jordi; Kleynenberg, Steven; Badr, Celine; Ganji, Rama-Rao; de Bliek, Hubrecht; Zeng-Eyindanga, Landry-Stephane; van den Brink, Henk; Majoie, Charles; Marquering, Henk; Olabarriaga, Silvia Delgado

2015-01-01

Acute stroke is the leading cause of disabilities and the fourth cause of death worldwide. The treatment of stroke patients often requires fast collaboration between medical experts and fast analysis and sharing of large amounts of medical data, especially image data. In this situation, cloud

Comparative trace elemental analysis of cancerous and non-cancerous tissues of rectal cancer patients using PIXE

Science.gov (United States)

Naga Raju, G. J.; Sarita, P.; Murthy, K. S. R.

2017-08-01

Particle Induced X-ray Emission (PIXE), an accelerator based analytical technique has been employed in this work for the analysis of trace elements in the cancerous and non-cancerous tissues of rectal cancer patients. A beam of 3 MeV protons generated from 3 MV Pelletron accelerator at the Ion Beam Laboratory of Institute of Physics, Bhubaneswar, India was used as projectile to excite the atoms present in the tissues samples. PIXE technique, with its capability to detect simultaneously several elements present at very low concentrations, offers an excellent tool for trace element analysis. The characteristic X-rays emitted by the samples were recorded by a high resolution Si (Li) detector. On the basis of the PIXE spectrum obtained for each sample, the elements Cl, K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, and Br were identified and their relative concentrations were estimated in the cancerous and non-cancerous tissues of rectum. The levels of Mn, Fe, Co, Cu, Zn, and As were higher (p < 0.005) while the levels of Ca, Cr and Ni were lower (p < 0.005) in the cancer tissues relative to the normal tissues. The alterations in the levels of the trace elements observed in the present work are discussed in this paper with respect to their potential role in the initiation, promotion and inhibition of cancer of the rectum.

Development of a Multi-Sensor Cancer Detection Probe Final Report CRADA No. TC-2026-01

Energy Technology Data Exchange (ETDEWEB)

Marion, J. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Hular, R. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

2017-10-16

This collaboration continued work started under a previous CRADA (TSB-2023-00) to take a detailed concept specification for a multi-sensor needle/probe suitable for breast cancer analysis and produce a prototype system suitable for human FDA trials.

An analysis of buyer-supplier collaboration in the South African textile industry

Directory of Open Access Journals (Sweden)

H. Parker

2007-12-01

Full Text Available Purpose: The purpose of this article is to explore perceptions regarding buyer and supplier collaboration around product development. The aim is to gain an understanding of which factors influence buyer-supplier collaboration outcomes in the South African textile industry. Methodology: This study comprised two data collection stages. The first stage comprised the design and administration of a questionnaire survey. The second stage utilised a qualitative interview methodology and entailed interviewing a subset of the questionnaire respondents in order to probe respondents’ own experiences in collaborative product developments and their perception of the factors that determine collaboration outcome. Findings: This study has shed light on the experiences of South African firms in the textile industry engaging in buyer-supplier collaboration around product development. While this study is exploratory, it has provided evidence that there are certain factors which are perceived to have a significant influence on collaboration. Implications: Under the past protective shield of tariffs, South African clothing and textile manufacturers could afford to allow an adversarial mode of operation to perpetuate inefficiencies. However, the increasing external pressures, including the very real threat of overseas competition, heighten the need for collaboration between buyers and suppliers. This relates, in particular, to collaboration aimed at new product development, which can be seen as a new imperative for the survival and growth of this industry. Currently, there are numerous barriers to effective collaboration. The overwhelming power of retailers in the value chain is one such barrier, as it creates an environment which is pressurised, strained and not conducive to buyer-supplier collaboration. Contribution and Value: Studies on collaborative new product development have primarily been done in developed countries, with a focus on technology intensive

Collaborative interactive visualization: exploratory concept

Science.gov (United States)

Mokhtari, Marielle; Lavigne, Valérie; Drolet, Frédéric

2015-05-01

Dealing with an ever increasing amount of data is a challenge that military intelligence analysts or team of analysts face day to day. Increased individual and collective comprehension goes through collaboration between people. Better is the collaboration, better will be the comprehension. Nowadays, various technologies support and enhance collaboration by allowing people to connect and collaborate in settings as varied as across mobile devices, over networked computers, display walls, tabletop surfaces, to name just a few. A powerful collaboration system includes traditional and multimodal visualization features to achieve effective human communication. Interactive visualization strengthens collaboration because this approach is conducive to incrementally building a mental assessment of the data meaning. The purpose of this paper is to present an overview of the envisioned collaboration architecture and the interactive visualization concepts underlying the Sensemaking Support System prototype developed to support analysts in the context of the Joint Intelligence Collection and Analysis Capability project at DRDC Valcartier. It presents the current version of the architecture, discusses future capabilities to help analyst(s) in the accomplishment of their tasks and finally recommends collaboration and visualization technologies allowing to go a step further both as individual and as a team.

Collaborative human-machine analysis using a controlled natural language

Science.gov (United States)

Mott, David H.; Shemanski, Donald R.; Giammanco, Cheryl; Braines, Dave

2015-05-01

A key aspect of an analyst's task in providing relevant information from data is the reasoning about the implications of that data, in order to build a picture of the real world situation. This requires human cognition, based upon domain knowledge about individuals, events and environmental conditions. For a computer system to collaborate with an analyst, it must be capable of following a similar reasoning process to that of the analyst. We describe ITA Controlled English (CE), a subset of English to represent analyst's domain knowledge and reasoning, in a form that it is understandable by both analyst and machine. CE can be used to express domain rules, background data, assumptions and inferred conclusions, thus supporting human-machine interaction. A CE reasoning and modeling system can perform inferences from the data and provide the user with conclusions together with their rationale. We present a logical problem called the "Analysis Game", used for training analysts, which presents "analytic pitfalls" inherent in many problems. We explore an iterative approach to its representation in CE, where a person can develop an understanding of the problem solution by incremental construction of relevant concepts and rules. We discuss how such interactions might occur, and propose that such techniques could lead to better collaborative tools to assist the analyst and avoid the "pitfalls".

Meta-analysis of cancer transcriptomes: A new approach to uncover molecular pathological events in different cancer tissues

Directory of Open Access Journals (Sweden)

Sundus Iqbal

2014-03-01

Full Text Available To explore secrets of metastatic cancers, individual expression of true sets of respective genes must spread across the tissue. In this study, meta-analysis for transcriptional profiles of oncogenes was carried out to hunt critical genes or networks helping in metastasizing cancers. For this, transcriptomic analysis of different cancerous tissues causing leukemia, lung, liver, spleen, colorectal, colon, breast, bladder, and kidney cancers was performed by extracting microarray expression data from online resource; Gene Expression Omnibus. A newly developed bioinformatics technique; Dynamic Impact Approach (DIA was applied for enrichment analysis of transcriptional profiles using Database for Annotation Visualization and Integrated Discovery (DAVID. Furthermore, oPOSSUM (v. 2.0 and Cytoscape (v. 2.8.2 were used for in-depth analysis of transcription factors and regulatory gene networks respectively. DAVID analysis uncovered the most significantly enriched pathways in molecular functions that were 'Ubiquitin thiolesterase activity' up regulated in blood, breast, bladder, colorectal, lung, spleen, prostrate cancer. 'Transforming growth factor beta receptor activity' was inhibited in all cancers except leukemia, colon and liver cancer. oPOSSUM further revealed highly over-represented Transcription Factors (TFs; Broad-complex_3, Broad-complex_4, and Foxd3 except for leukemia and bladder cancer. From these findings, it is possible to target genes and networks, play a crucial role in the development of cancer. In the future, these transcription factors can serve as potential candidates for the therapeutic drug targets which can impede the deadly spread.

Salvage radical prostatectomy for radiation-recurrent prostate cancer: a multi-institutional collaboration.

Science.gov (United States)

Chade, Daher C; Shariat, Shahrokh F; Cronin, Angel M; Savage, Caroline J; Karnes, R Jeffrey; Blute, Michael L; Briganti, Alberto; Montorsi, Francesco; van der Poel, Henk G; Van Poppel, Hendrik; Joniau, Steven; Godoy, Guilherme; Hurtado-Coll, Antonio; Gleave, Martin E; Dall'Oglio, Marcos; Srougi, Miguel; Scardino, Peter T; Eastham, James A

2011-08-01

Oncologic outcomes in men with radiation-recurrent prostate cancer (PCa) treated with salvage radical prostatectomy (SRP) are poorly defined. To identify predictors of biochemical recurrence (BCR), metastasis, and death following SRP to help select patients who may benefit from SRP. This is a retrospective, international, multi-institutional cohort analysis. There was a median follow-up of 4.4 yr following SRP performed on 404 men with radiation-recurrent PCa from 1985 to 2009 in tertiary centers. Open SRP. BCR after SRP was defined as a serum prostate-specific antigen (PSA) ≥ 0.1 or ≥ 0.2 ng/ml (depending on the institution). Secondary end points included progression to metastasis and cancer-specific death. Median age at SRP was 65 yr of age, and median pre-SRP PSA was 4.5 ng/ml. Following SRP, 195 patients experienced BCR, 64 developed metastases, and 40 died from PCa. At 10 yr after SRP, BCR-free survival, metastasis-free survival, and cancer-specific survival (CSS) probabilities were 37% (95% confidence interval [CI], 31-43), 77% (95% CI, 71-82), and 83% (95% CI, 76-88), respectively. On preoperative multivariable analysis, pre-SRP PSA and Gleason score at postradiation prostate biopsy predicted BCR (p = 0.022; global p 75% of patients 10 yr after surgery. Patients with lower pre-SRP PSA levels and lower postradiation prostate biopsy Gleason score have the highest probability of cure from SRP. Copyright © 2011 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Differentiated Thyroid Cancer Multidisciplinary Management at the Colombian National Cancer Institute

International Nuclear Information System (INIS)

Garavito, Gloria; Llamas O, Augusto; Cadena, Enrique; De Los Reyes, Amelia

2009-01-01

Thyroid cancer is the most common malignant disease of the endocrine system. Two hundred and twenty-one new cases were diagnosed at the National Cancer Institute of Colombia (NCI) in 2006, roughly 4% of all new cancer cases. Weekly multidisciplinary decision-making meetings on thyroid cancer management have been held at the NCI since 1994. This article covers the body of knowledge gathered through 14 years of interdisciplinary collaboration where experience has been combined with the best available evidence.

Dysplasia and cancer in inflammatory bowel disease 10 years after diagnosis: results of a population-based European collaborative follow-up study.

Science.gov (United States)

Katsanos, K H; Vermeire, S; Christodoulou, D K; Riis, L; Wolters, F; Odes, S; Freitas, J; Hoie, Ole; Beltrami, Marina; Fornaciari, G; Clofent, J; Bodini, P; Vatn, M; Nunes, Paula Borralho; Moum, B; Munkholm, P; Limonard, C; Stockbrugger, R; Rutgeerts, P; Tsianos, E V

2007-01-01

To determine dysplasia and cancer in the 1991-2004 European Collaborative Inflammatory Bowel Disease (EC-IBD) Study Group cohort. A patient questionnaire and a physician per patient form were completed for each of the 1,141 inflammatory bowel disease patients (776 ulcerative colitis/365 Crohn's disease) from 9 centers (7 countries) derived from the EC-IBD cohort. Rates of detection of intestinal cancer and dysplasia as well as extra-intestinal neoplasms were computed. Patient follow-up time was 10.3 +/- 0.8 (range 9.4-11) years. The mean age of the whole group of IBD patients was 37.8 +/- 11.3 (range 16-76) years. Thirty-eight patients (3.3%; 26 with ulcerative colitis/12 with Crohn's disease, 21 males/17 females, aged 61.3 +/- 13.4, range 33-77 years), were diagnosed with 42 cancers. Cancers occurred 5.4 +/- 3.3 (range 0-11) years after inflammatory bowel disease diagnosis. Colorectal cancer was diagnosed in 8 (1 Crohn's disease and 7 ulcerative colitis patients--0.3 and 0.9% of the Crohn's disease and ulcerative colitis cohort, respectively) of 38 patients and 30 cancers were extra-intestinal. Four of 38 patients (10.5%) were diagnosed as having 2 cancers and they were younger compared to patients with one cancer (p = 0.0008). There was a trend for a higher prevalence of intestinal cancer in the northern centers (0.9%) compared to southern centers (0.3%, p = NS). Southern centers had more cases of extra-intestinal cancer compared to northern centers (2 vs. 3.8%, p = 0.08). Ten patients (0.9%; 8 with ulcerative colitis/2 with Crohn's disease, 8 males, aged 62.3 +/- 14.1 years) had colorectal dysplasia. In the first decade of the EC-IBD Study Group cohort follow-up study, the prevalence of cancer was as expected with most patients having a single neoplasm and an extra-intestinal neoplasm. In northern centers there was a trend for more intestinal cancers, while in southern centers there was a trend for more extra-intestinal cancers compared to northern centers. 2007

Collaboration space division in collaborative product development based on a genetic algorithm

Science.gov (United States)

Qian, Xueming; Ma, Yanqiao; Feng, Huan

2018-02-01

The advance in the global environment, rapidly changing markets, and information technology has created a new stage for design. In such an environment, one strategy for success is the Collaborative Product Development (CPD). Organizing people effectively is the goal of Collaborative Product Development, and it solves the problem with certain foreseeability. The development group activities are influenced not only by the methods and decisions available, but also by correlation among personnel. Grouping the personnel according to their correlation intensity is defined as collaboration space division (CSD). Upon establishment of a correlation matrix (CM) of personnel and an analysis of the collaboration space, the genetic algorithm (GA) and minimum description length (MDL) principle may be used as tools in optimizing collaboration space. The MDL principle is used in setting up an object function, and the GA is used as a methodology. The algorithm encodes spatial information as a chromosome in binary. After repetitious crossover, mutation, selection and multiplication, a robust chromosome is found, which can be decoded into an optimal collaboration space. This new method can calculate the members in sub-spaces and individual groupings within the staff. Furthermore, the intersection of sub-spaces and public persons belonging to all sub-spaces can be determined simultaneously.

Collaborative Undergraduate HBCU Student Summer Prostate Cancer Training Program

Science.gov (United States)

2010-03-01

Maternal Morbidity & Mortality Infant Mortality & Low Birth Weight Immunizations children and adult Asthma STD’s including HIV Cancer Obesity Diabetes...TA, co-taught, or taught. “Course of Life” is the Latin translation of Curriculum Vitae. Tips on Preparing a Curriculum Vitae (CV) Conference...is the most common non-skin cancer in America , and affects 1 in 6 men. In 2009, more than 192,000 men will be diagnosed with prostate cancer, and

Analysis of multiple primary cancer autopsy cases associated with breast cancer: 2002-2010.

Science.gov (United States)

Shibahara, Yukiko; Sugawara, Yumi; Miki, Yasuhiro; Hata, Shuko; Takahashi, Hiroaki; Nakamura, Yasuhiro; Suzuki, Takashi; Ohuchi, Noriaki; Tsuji, Ichiro; Sasano, Hironobu

2016-12-01

Breast cancer patients have a generally increased risk of developing second cancers. The object of this study was to clarify the increased as well as decreased incidence of cancers in breast cancer patients using autopsy cases. 164 211 autopsy cases in the Annual of Pathological Autopsy Cases in Japan from 2002 to 2010 were analyzed for multiple primary cancer (MPC). Female MPC cases (4222 cases) were selected. We investigated the cancer incidence observed in breast cancer associated MPC. The Chi-squared test was used for analysis. All P-values were two-sided, and differences at P autopsy data on MPC which provide new evidence clinically and pathologically. © 2016 Japanese Society of Pathology and John Wiley & Sons Australia, Ltd.

Network effects on scientific collaborations.

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Shahadat Uddin

Full Text Available BACKGROUND: The analysis of co-authorship network aims at exploring the impact of network structure on the outcome of scientific collaborations and research publications. However, little is known about what network properties are associated with authors who have increased number of joint publications and are being cited highly. METHODOLOGY/PRINCIPAL FINDINGS: Measures of social network analysis, for example network centrality and tie strength, have been utilized extensively in current co-authorship literature to explore different behavioural patterns of co-authorship networks. Using three SNA measures (i.e., degree centrality, closeness centrality and betweenness centrality, we explore scientific collaboration networks to understand factors influencing performance (i.e., citation count and formation (tie strength between authors of such networks. A citation count is the number of times an article is cited by other articles. We use co-authorship dataset of the research field of 'steel structure' for the year 2005 to 2009. To measure the strength of scientific collaboration between two authors, we consider the number of articles co-authored by them. In this study, we examine how citation count of a scientific publication is influenced by different centrality measures of its co-author(s in a co-authorship network. We further analyze the impact of the network positions of authors on the strength of their scientific collaborations. We use both correlation and regression methods for data analysis leading to statistical validation. We identify that citation count of a research article is positively correlated with the degree centrality and betweenness centrality values of its co-author(s. Also, we reveal that degree centrality and betweenness centrality values of authors in a co-authorship network are positively correlated with the strength of their scientific collaborations. CONCLUSIONS/SIGNIFICANCE: Authors' network positions in co

Retrospective Analysis of Communication Events - Understanding the Dynamics of Collaborative Multi-Party Discourse

Energy Technology Data Exchange (ETDEWEB)

Cowell, Andrew J.; Haack, Jereme N.; McColgin, Dave W.

2006-06-08

This research is aimed at understanding the dynamics of collaborative multi-party discourse across multiple communication modalities. Before we can truly make sig-nificant strides in devising collaborative communication systems, there is a need to understand how typical users utilize com-putationally supported communications mechanisms such as email, instant mes-saging, video conferencing, chat rooms, etc., both singularly and in conjunction with traditional means of communication such as face-to-face meetings, telephone calls and postal mail. Attempting to un-derstand an individual’s communications profile with access to only a single modal-ity is challenging at best and often futile. Here, we discuss the development of RACE – Retrospective Analysis of Com-munications Events – a test-bed prototype to investigate issues relating to multi-modal multi-party discourse.

Collaborative Environments. Considerations Concerning Some Collaborative Systems

Directory of Open Access Journals (Sweden)

Mihaela I. MUNTEAN

2009-01-01

Full Text Available It is obvious, that all collaborative environments (workgroups, communities of practice, collaborative enterprises are based on knowledge and between collaboration and knowledge management there is a strong interdependence. The evolution of information systems in these collaborative environments led to the sudden necessity to adopt, for maintaining the virtual activities and processes, the latest technologies/systems, which are capable to support integrated collaboration in business services. In these environments, portal-based IT platforms will integrate multi-agent collaborative systems, collaborative tools, different enterprise applications and other useful information systems.

Trend Analysis of Cancer Mortality and Incidence in Panama, Using Joinpoint Regression Analysis.

Science.gov (United States)

Politis, Michael; Higuera, Gladys; Chang, Lissette Raquel; Gomez, Beatriz; Bares, Juan; Motta, Jorge

2015-06-01

Cancer is one of the leading causes of death worldwide and its incidence is expected to increase in the future. In Panama, cancer is also one of the leading causes of death. In 1964, a nationwide cancer registry was started and it was restructured and improved in 2012. The aim of this study is to utilize Joinpoint regression analysis to study the trends of the incidence and mortality of cancer in Panama in the last decade. Cancer mortality was estimated from the Panamanian National Institute of Census and Statistics Registry for the period 2001 to 2011. Cancer incidence was estimated from the Panamanian National Cancer Registry for the period 2000 to 2009. The Joinpoint Regression Analysis program, version 4.0.4, was used to calculate trends by age-adjusted incidence and mortality rates for selected cancers. Overall, the trend of age-adjusted cancer mortality in Panama has declined over the last 10 years (-1.12% per year). The cancers for which there was a significant increase in the trend of mortality were female breast cancer and ovarian cancer; while the highest increases in incidence were shown for breast cancer, liver cancer, and prostate cancer. Significant decrease in the trend of mortality was evidenced for the following: prostate cancer, lung and bronchus cancer, and cervical cancer; with respect to incidence, only oral and pharynx cancer in both sexes had a significant decrease. Some cancers showed no significant trends in incidence or mortality. This study reveals contrasting trends in cancer incidence and mortality in Panama in the last decade. Although Panama is considered an upper middle income nation, this study demonstrates that some cancer mortality trends, like the ones seen in cervical and lung cancer, behave similarly to the ones seen in high income countries. In contrast, other types, like breast cancer, follow a pattern seen in countries undergoing a transition to a developed economy with its associated lifestyle, nutrition, and body weight

Selenium Exposure and Cancer Risk: an Updated Meta-analysis and Meta-regression

Science.gov (United States)

Cai, Xianlei; Wang, Chen; Yu, Wanqi; Fan, Wenjie; Wang, Shan; Shen, Ning; Wu, Pengcheng; Li, Xiuyang; Wang, Fudi

2016-01-01

The objective of this study was to investigate the associations between selenium exposure and cancer risk. We identified 69 studies and applied meta-analysis, meta-regression and dose-response analysis to obtain available evidence. The results indicated that high selenium exposure had a protective effect on cancer risk (pooled OR = 0.78; 95%CI: 0.73–0.83). The results of linear and nonlinear dose-response analysis indicated that high serum/plasma selenium and toenail selenium had the efficacy on cancer prevention. However, we did not find a protective efficacy of selenium supplement. High selenium exposure may have different effects on specific types of cancer. It decreased the risk of breast cancer, lung cancer, esophageal cancer, gastric cancer, and prostate cancer, but it was not associated with colorectal cancer, bladder cancer, and skin cancer. PMID:26786590

A model and typology of collaboration between professionals in healthcare organizations.

Science.gov (United States)

D'Amour, Danielle; Goulet, Lise; Labadie, Jean-François; Martín-Rodriguez, Leticia San; Pineault, Raynald

2008-09-21

The new forms of organization of healthcare services entail the development of new clinical practices that are grounded in collaboration. Despite recent advances in research on the subject of collaboration, there is still a need for a better understanding of collaborative processes and for conceptual tools to help healthcare professionals develop collaboration amongst themselves in complex systems. This study draws on D'Amour's structuration model of collaboration to analyze healthcare facilities offering perinatal services in four health regions in the province of Quebec. The objectives are to: 1) validate the indicators of the structuration model of collaboration; 2) evaluate interprofessional and interorganizational collaboration in four health regions; and 3) propose a typology of collaboration A multiple-case research strategy was used. The cases were the healthcare facilities that offer perinatal services in four health regions in the province of Quebec (Canada). The data were collected through 33 semi-structured interviews with healthcare managers and professionals working in the four regions. Written material was also analyzed. The data were subjected to a "mixed" inductive-deductive analysis conducted in two main stages: an internal analysis of each case followed by a cross-sectional analysis of all the cases. The collaboration indicators were shown to be valid, although some changes were made to three of them. Analysis of the data showed great variation in the level of collaboration between the cases and on each dimension. The results suggest a three-level typology of collaboration based on the ten indicators: active collaboration, developing collaboration and potential collaboration. The model and the typology make it possible to analyze collaboration and identify areas for improvement. Researchers can use the indicators to determine the intensity of collaboration and link it to clinical outcomes. Professionals and administrators can use the model to

RNA/DNA co-analysis from blood stains--Results of a second collaborative EDNAP exercise

DEFF Research Database (Denmark)

Haas, C.; Hanson, E.; Anjos, M.J.

2012-01-01

A second collaborative exercise on RNA/DNA co-analysis for body fluid identification and STR profiling was organized by the European DNA Profiling Group (EDNAP). Six human blood stains, two blood dilution series (5-0.001 [mu]l blood) and, optionally, bona fide or mock casework samples of human or...

Opportunities During Early Life for Cancer Prevention: Highlights From a Series of Virtual Meetings With Experts

Science.gov (United States)

Holman, Dawn M.; Buchanan, Natasha D.

2018-01-01

Compelling evidence suggests that early life exposures can affect lifetime cancer risk. In 2014, the Centers for Disease Control and Prevention’s (CDC’s) Cancer Prevention Across the Lifespan Workgroup hosted a series of virtual meetings with select experts to discuss the state of the evidence linking factors during the prenatal period and early childhood to subsequent risk of both pediatric and adult cancers. In this article, we present the results from a qualitative analysis of the meeting transcripts and summarize themes that emerged from our discussions with meeting participants. Themes included the state of the evidence linking early life factors to cancer risk, research gaps and challenges, the level of evidence needed to support taking public health action, and the challenges of communicating complex, and sometimes conflicting, scientific findings to the public. Opportunities for collaboration among public health agencies and other stakeholders were identified during these discussions. Potential next steps for the CDC and its partners included advancing and building upon epidemiology and surveillance work, developing and using evidence from multiple sources to inform decision-making, disseminating and communicating research findings in a clear and effective way, and expanding collaborations with grantees and other partners. As the science on early life factors and cancer risk continues to evolve, there are opportunities for collaboration to translate science into actionable public health practice. PMID:27940972

South American collaboration in scientific publications on leishmaniasis: bibliometric analysis in SCOPUS (2000-2011).

Science.gov (United States)

Huamaní, Charles; Romaní, Franco; González-Alcaide, Gregorio; Mejia, Miluska O; Ramos, José Manuel; Espinoza, Manuel; Cabezas, César

2014-01-01

Evaluate the production and the research collaborative network on Leishmaniasis in South America. A bibliometric research was carried out using SCOPUS database. The analysis unit was original research articles published from 2000 to 2011, that dealt with leishmaniasis and that included at least one South American author. The following items were obtained for each article: journal name, language, year of publication, number of authors, institutions, countries, and others variables. 3,174 articles were published, 2,272 of them were original articles. 1,160 different institutional signatures, 58 different countries and 398 scientific journals were identified. Brazil was the country with more articles (60.7%) and Oswaldo Cruz Foundation (FIOCRUZ) had 18% of Brazilian production, which is the South American nucleus of the major scientific network in Leishmaniasis. South American scientific production on Leishmaniasis published in journals indexed in SCOPUS is focused on Brazilian research activity. It is necessary to strengthen the collaboration networks. The first step is to identify the institutions with higher production, in order to perform collaborative research according to the priorities of each country.

Study on Collaborative Object Manipulation in Virtual Environment

Science.gov (United States)

Mayangsari, Maria Niken; Yong-Moo, Kwon

This paper presents comparative study on network collaboration performance in different immersion. Especially, the relationship between user collaboration performance and degree of immersion provided by the system is addressed and compared based on several experiments. The user tests on our system include several cases: 1) Comparison between non-haptics and haptics collaborative interaction over LAN, 2) Comparison between non-haptics and haptics collaborative interaction over Internet, and 3) Analysis of collaborative interaction between non-immersive and immersive display environments.

China-Africa and China-Asia Collaboration on Schistosomiasis Control: A SWOT Analysis.

Science.gov (United States)

Xu, J; Bergquist, R; Qian, Y-J; Wang, Q; Yu, Q; Peeling, R; Croft, S; Guo, J-G; Zhou, X-N

2016-01-01

Schistosomiasis, a disease caused by a trematode, parasitic worm, is a worldwide public health problem. In spite of great progress with regard to morbidity control, even elimination of this infection in recent decades, there are still challenges to overcome in sub-Saharan Africa and endemic areas in Southeast Asia. Regarded as one of the most successful countries with respect to schistosomiasis control, The People's Republic of China has accumulated considerable experience and learnt important lessons in various local settings that could benefit schistosomiasis control in other endemic countries. Based on an analysis of conceived strengths, weaknesses, opportunities and threats (SWOT) of potential collaborative activities with regard to schistosomiasis in Africa and Asia, this article addresses the importance of collaborative efforts and explores the priorities that would be expected to facilitate the transfer of Chinese experience to low- and middle-income countries in Africa and Asia. Copyright © 2016 Elsevier Ltd. All rights reserved.

Pleiotropic Analysis of Lung Cancer and Blood Triglycerides.

Science.gov (United States)

Zuber, Verena; Marconett, Crystal N; Shi, Jianxin; Hua, Xing; Wheeler, William; Yang, Chenchen; Song, Lei; Dale, Anders M; Laplana, Marina; Risch, Angela; Witoelar, Aree; Thompson, Wesley K; Schork, Andrew J; Bettella, Francesco; Wang, Yunpeng; Djurovic, Srdjan; Zhou, Beiyun; Borok, Zea; van der Heijden, Henricus F M; de Graaf, Jacqueline; Swinkels, Dorine; Aben, Katja K; McKay, James; Hung, Rayjean J; Bikeböller, Heike; Stevens, Victoria L; Albanes, Demetrius; Caporaso, Neil E; Han, Younghun; Wei, Yongyue; Panadero, Maria Angeles; Mayordomo, Jose I; Christiani, David C; Kiemeney, Lambertus; Andreassen, Ole A; Houlston, Richard; Amos, Christopher I; Chatterjee, Nilanjan; Laird-Offringa, Ite A; Mills, Ian G; Landi, Maria Teresa

2016-12-01

Epidemiologically related traits may share genetic risk factors, and pleiotropic analysis could identify individual loci associated with these traits. Because of their shared epidemiological associations, we conducted pleiotropic analysis of genome-wide association studies of lung cancer (12 160 lung cancer case patients and 16 838 control subjects) and cardiovascular disease risk factors (blood lipids from 188 577 subjects, type 2 diabetes from 148 821 subjects, body mass index from 123 865 subjects, and smoking phenotypes from 74 053 subjects). We found that 6p22.1 (rs6904596, ZNF184) was associated with both lung cancer (P = 5.50x10(-6)) and blood triglycerides (P = 1.39x10(-5)). We replicated the association in 6097 lung cancer case patients and 204 657 control subjects (P = 2.40 × 10(-4)) and in 71 113 subjects with triglycerides data (P = .01). rs6904596 reached genome-wide significance in lung cancer meta-analysis (odds ratio = 1.15, 95% confidence interval = 1.10 to 1.21 ,: Pcombined = 5.20x10(-9)). The large sample size provided by the lipid GWAS data and the shared genetic risk factors between the two traits contributed to the uncovering of a hitherto unidentified genetic locus for lung cancer. Published by Oxford University Press 2016. This work is written by US Government employees and is in the public domain in the United States.

ACCISS study rationale and design: activating collaborative cancer information service support for cervical cancer screening.

Science.gov (United States)

Cofta-Woerpel, Ludmila; Randhawa, Veenu; McFadden, H Gene; Fought, Angela; Bullard, Emily; Spring, Bonnie

2009-12-02

High-quality cancer information resources are available but underutilized by the public. Despite greater awareness of the National Cancer Institute's Cancer Information Service among low-income African Americans and Hispanics compared with Caucasians, actual Cancer Information Service usage is lower than expected, paralleling excess cancer-related morbidity and mortality for these subgroups. The proposed research examines how to connect the Cancer Information Service to low-income African-American and Hispanic women and their health care providers. The study will examine whether targeted physician mailing to women scheduled for colposcopy to follow up an abnormal Pap test can increase calls to the Cancer Information Service, enhance appropriate medical follow-up, and improve satisfaction with provider-patient communication. The study will be conducted in two clinics in ethnically diverse low-income communities in Chicago. During the formative phase, patients and providers will provide input regarding materials planned for use in the experimental phase of the study. The experimental phase will use a two-group prospective randomized controlled trial design. African American and Hispanic women with an abnormal Pap test will be randomized to Usual Care (routine colposcopy reminder letter) or Intervention (reminder plus provider recommendation to call the Cancer Information Service and sample questions to ask). Primary outcomes will be: 1) calls to the Cancer Information Service; 2) timely medical follow-up, operationalized by whether the patient keeps her colposcopy appointment within six months of the abnormal Pap; and 3) patient satisfaction with provider-patient communication at follow-up. The study examines the effectiveness of a feasible, sustainable, and culturally sensitive strategy to increase awareness and use of the Cancer Information Service among an underserved population. The goal of linking a public service (the Cancer Information Service) with real

Literacy Education and Interprofessional Collaboration

Directory of Open Access Journals (Sweden)

Joron Pihl

2012-03-01

Full Text Available The aim of this article is to explore inter-professional collaboration in literacy education. It examines factors that facilitate collaboration between teachers and librarians and the contributions to literacy education. The study was designed as a research and development project in multicultural schools in Norway (2007-2011. Its theoretical framework was cultural-historical theory of activity theory, and the theory of expansive learning. The methods were formative intervention, interviews, participant observation, and qualitative and quantitative analysis of student literacy. In the study, interprofessional collaboration made significant contributions to professional development and literacy education. Interprofessional collaboration was developed as a collective learning process. It was facilitated by research interventions, development of a shared object of activity and work with new theoretical concepts and cultural artefacts. The findings indicate that inter-professional collaboration can make important contributions to realization of the mandate of the teaching and library profession.

Perspectives on Strengthening Cancer Research and Control in Latin America Through Partnerships and Diplomacy: Experience of the National Cancer Institute’s Center for Global Health

Directory of Open Access Journals (Sweden)

Silvina Frech

2018-02-01

Full Text Available According to the Pan American Health Organization, noncommunicable diseases, including cancer, are the leading causes of preventable and premature death in the Americas. Governments and health care systems in Latin America face numerous challenges as a result of increasing morbidity and mortality from cancer. Multiple international organizations have recognized the need for collaborative action on and technical support for cancer research and control in Latin America. The Center for Global Health at the US National Cancer Institute (NCI-CGH is one entity among many that are working in the region and has sought to develop a strategy for working in Latin America that draws on and expands the collaborative potential of engaged, skilled, and diverse partners. NCI-CGH has worked toward developing and implementing initiatives in collaboration with global partners that share the common objectives of building a global cancer research community and translating research results into evidence-informed policy and practice. Both objectives are complementary and synergistic and are additionally supported by an overarching strategic framework that is focused on partnerships and science diplomacy. This work highlights the overall strategy for NCI-CGH engagement in Latin America through partnerships and diplomacy, and highlights selected collaborative efforts that are aimed at improving cancer outcomes in the region.

Towards optimised information about clinical trials; identification and validation of key issues in collaboration with cancer patient advocates

DEFF Research Database (Denmark)

Dellson, P; Nilbert, M; Bendahl, P-O

2011-01-01

in three clinical trials for breast cancer. Primary data collection was done in focus group interviews with breast cancer patient advocates. Content analysis identified three major themes: comprehensibility, emotions and associations, and decision making. Based on the advocates' suggestions...

Collaborations in fusion research

International Nuclear Information System (INIS)

Barnes, D.; Davis, S.; Roney, P.

1995-01-01

This paper reviews current experimental collaborative efforts in the fusion community and extrapolates to operational scenarios for the Tokamak Physics Experiment (TPX) and the International Thermonuclear Experimental Reactor (ITER). Current requirements, available technologies and tools, and problems, issues and concerns are discussed. This paper specifically focuses on the issues that apply to experimental operational collaborations. Special requirements for other types of collaborations, such as theoretical or design and construction efforts, will not be addressed. Our current collaborative efforts have been highly successful, even though the tools in use will be viewed as primitive by tomorrow's standards. An overview of the tools and technologies in today's collaborations can be found in the first section of this paper. The next generation of fusion devices will not be primarily institutionally based, but will be national (TPX) and international (ITER) in funding, management, operation and in ownership of scientific results. The TPX will present the initial challenge of real-time remotely distributed experimental data analysis for a steady state device. The ITER will present new challenges with the possibility of several remote control rooms all participating in the real-time operation of the experimental device. A view to the future of remote collaborations is provided in the second section of this paper

Regional collaborations and indigenous innovation capabilities in China: A multivariate method for the analysis of regional innovation systems

OpenAIRE

Zhao, S.L.; Cacciolatti, L.; Lee, Soo Hee; Song, W.

2014-01-01

In this study we analyse the emerging patterns of regional collaboration for innovation projects in China, using official government statistics of 30 Chinese regions. We propose the use of Ordinal Multidimensional Scaling and Cluster analysis as a robust method to study regional innovation systems. Our results show that regional collaborations amongst organisations can be categorised by means of eight dimensions: public versus private organisational mindset; public versus private resources; i...

Biomarker Identification and Pathway Analysis by Serum Metabolomics of Lung Cancer

Directory of Open Access Journals (Sweden)

Yingrong Chen

2015-01-01

Full Text Available Lung cancer is one of the most common causes of cancer death, for which no validated tumor biomarker is sufficiently accurate to be useful for diagnosis. Additionally, the metabolic alterations associated with the disease are unclear. In this study, we investigated the construction, interaction, and pathways of potential lung cancer biomarkers using metabolomics pathway analysis based on the Kyoto Encyclopedia of Genes and Genomes database and the Human Metabolome Database to identify the top altered pathways for analysis and visualization. We constructed a diagnostic model using potential serum biomarkers from patients with lung cancer. We assessed their specificity and sensitivity according to the area under the curve of the receiver operator characteristic (ROC curves, which could be used to distinguish patients with lung cancer from normal subjects. The pathway analysis indicated that sphingolipid metabolism was the top altered pathway in lung cancer. ROC curve analysis indicated that glycerophospho-N-arachidonoyl ethanolamine (GpAEA and sphingosine were potential sensitive and specific biomarkers for lung cancer diagnosis and prognosis. Compared with the traditional lung cancer diagnostic biomarkers carcinoembryonic antigen and cytokeratin 19 fragment, GpAEA and sphingosine were as good or more appropriate for detecting lung cancer. We report our identification of potential metabolic diagnostic and prognostic biomarkers of lung cancer and clarify the metabolic alterations in lung cancer.

A Qualitative Evaluation of Web-Based Cancer Care Quality Improvement Toolkit Use in the Veterans Health Administration.

Science.gov (United States)

Bowman, Candice; Luck, Jeff; Gale, Randall C; Smith, Nina; York, Laura S; Asch, Steven

2015-01-01

Disease severity, complexity, and patient burden highlight cancer care as a target for quality improvement (QI) interventions. The Veterans Health Administration (VHA) implemented a series of disease-specific online cancer care QI toolkits. To describe characteristics of the toolkits, target users, and VHA cancer care facilities that influenced toolkit access and use and assess whether such resources were beneficial for users. Deductive content analysis of detailed notes from 94 telephone interviews with individuals from 48 VHA facilities. We evaluated toolkit access and use across cancer types, participation in learning collaboratives, and affiliation with VHA cancer care facilities. The presence of champions was identified as a strong facilitator of toolkit use, and learning collaboratives were important for spreading information about toolkit availability. Identified barriers included lack of personnel and financial resources and complicated approval processes to support tool use. Online cancer care toolkits are well received across cancer specialties and provider types. Clinicians, administrators, and QI staff may benefit from the availability of toolkits as they become more reliant on rapid access to strategies that support comprehensive delivery of evidence-based care. Toolkits should be considered as a complement to other QI approaches.

Optimization of classification and regression analysis of four monoclonal antibodies from Raman spectra using collaborative machine learning approach.

Science.gov (United States)

Le, Laetitia Minh Maï; Kégl, Balázs; Gramfort, Alexandre; Marini, Camille; Nguyen, David; Cherti, Mehdi; Tfaili, Sana; Tfayli, Ali; Baillet-Guffroy, Arlette; Prognon, Patrice; Chaminade, Pierre; Caudron, Eric

2018-07-01

The use of monoclonal antibodies (mAbs) constitutes one of the most important strategies to treat patients suffering from cancers such as hematological malignancies and solid tumors. These antibodies are prescribed by the physician and prepared by hospital pharmacists. An analytical control enables the quality of the preparations to be ensured. The aim of this study was to explore the development of a rapid analytical method for quality control. The method used four mAbs (Infliximab, Bevacizumab, Rituximab and Ramucirumab) at various concentrations and was based on recording Raman data and coupling them to a traditional chemometric and machine learning approach for data analysis. Compared to conventional linear approach, prediction errors are reduced with a data-driven approach using statistical machine learning methods. In the latter, preprocessing and predictive models are jointly optimized. An additional original aspect of the work involved on submitting the problem to a collaborative data challenge platform called Rapid Analytics and Model Prototyping (RAMP). This allowed using solutions from about 300 data scientists in collaborative work. Using machine learning, the prediction of the four mAbs samples was considerably improved. The best predictive model showed a combined error of 2.4% versus 14.6% using linear approach. The concentration and classification errors were 5.8% and 0.7%, only three spectra were misclassified over the 429 spectra of the test set. This large improvement obtained with machine learning techniques was uniform for all molecules but maximal for Bevacizumab with an 88.3% reduction on combined errors (2.1% versus 17.9%). Copyright © 2018 Elsevier B.V. All rights reserved.

Usability Analysis within The DataONE Network of Collaborators

Science.gov (United States)

Budden, A. E.; Frame, M. T.; Tenopir, C.; Volentine, R.

2014-12-01

DataONE was conceived as a 10-year project to enable new science and knowledge creation through universal access to data about life on Earth and the environment that sustains it. In Phase I (2009-2014) more than 300 DataONE participants designed, developed and deployed a robust cyberinfrastructure (CI) with innovative services, and directly engaged and educated a broad stakeholder community. DataONE provides a resilient, scalable infrastructure using Member Nodes (data repositories), Coordinating Nodes, and an Investigator Toolkit to support the data access and data management needs of biological, Earth, and environmental science researchers in the U.S. and across the globe. DataONE collaborators, such as the U.S. Geological Survey, University of New Mexico, and the University of Tennessee, perform research to measure both the current data practices and opinions of DataONE stakeholders and the usability of DataONE for these stakeholders. Stakeholders include scientists, data managers, librarians, and educators among others. The DataONE Usability and Assessment Working Group, which includes members from multiple sectors, does research, development, and implementation projects on DataONE processes, systems, and methods. These projects are essential to insure that DataONE products and services meet network goals, include appropriate community involvement, and demonstrate progress and achievements of DataONE. This poster will provide an overview of DataONE's usability analysis and assessment methodologies, benefits to DataONE and its collaborators, and current tools/techniques being utilized by the participants.

Alcohol Consumption and Survival after a Breast Cancer Diagnosis: A Literature-Based Meta-analysis and Collaborative Analysis of Data for 29,239 Cases

Science.gov (United States)

Ali, Alaa M.G.; Schmidt, Marjanka K.; Bolla, Manjeet K.; Wang, Qin; Gago-Dominguez, M.; Castelao, J. Esteban; Carracedo, Angel; Garzón, Victor Muñoz; Bojesen, Stig E.; Nordestgaard, Børge G.; Flyger, Henrik; Chang-Claude, Jenny; Vrieling, Alina; Rudolph, Anja; Seibold, Petra; Nevanlinna, Heli; Muranen, Taru A.; Aaltonen, Kirsimari; Blomqvist, Carl; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Horio, Akiyo; John, Esther M.; Sherman, Mark; Lissowska, Jolanta; Figueroa, Jonine; Garcia-Closas, Montserrat; Anton-Culver, Hoda; Shah, Mitul; Hopper, John L.; Trichopoulou, Antonia; Bueno-de-Mesquita, Bas; Krogh, Vittorio; Weiderpass, Elisabete; Andersson, Anne; Clavel-Chapelon, Françoise; Dossus, Laure; Fagherazzi, Guy; Peeters, Petra H.; Olsen, Anja; Wishart, Gordon C.; Easton, Douglas F.; Borgquist, Signe; Overvad, Kim; Barricarte, Aurelio; González, Carlos A.; Sánchez, María-José; Amiano, Pilar; Riboli, Elio; Key, Tim; Pharoah, Paul D.

2015-01-01

Background Evidence for an association of alcohol consumption with prognosis after a diagnosis of breast cancer has been inconsistent. We have reviewed and summarized the published evidence and evaluated the association using individual patient data from multiple case cohorts. Methods A MEDLINE search to identify studies published up to January 2013 was performed. We combined published estimates of survival time for “moderate drinkers” versus nondrinkers. An analysis of individual participant data using Cox regression was carried out using data from 11 case cohorts. Results We identified 11 published studies suitable for inclusion in the meta-analysis. Moderate post-diagnosis alcohol consumption was not associated with overall survival [HR, 0.95; 95% confidence interval (CI), 0.85–1.05], but there was some evidence of better survival associated with prediagnosis consumption (HR, 0.80; 95% CI, 0.73–0.88). Individual data on alcohol consumption for 29,239 cases with 4,839 deaths were available from the 11 case cohorts, all of which had data on estrogen receptor (ER) status. For women with ER-positive disease, there was little evidence that pre- or postdiagnosis alcohol consumption is associated with breast cancer–specific mortality, with some evidence of a negative association with all-cause mortality. On the basis of a single study, moderate postdiagnosis alcohol intake was associated with a small reduction in breast cancer–specific mortality for women with ER-negative disease. There was no association with prediagnosis intake for women with ER-negative disease. Conclusion There was little evidence that pre- or post-diagnosis alcohol consumption is associated with breast cancer–specific mortality for women with ER-positive disease. There was weak evidence that moderate post-diagnosis alcohol intake is associated with a small reduction in breast cancer–specific mortality in ER-negative disease. Impact Considering the totality of the evidence, moderate

Adjuvant radiotherapy for stage I endometrial cancer.

Science.gov (United States)

Kong, A; Johnson, N; Cornes, P; Simera, I; Collingwood, M; Williams, C; Kitchener, H

2007-04-18

The role of adjuvant radiotherapy (both pelvic external beam radiotherapy and vaginal intracavity brachytherapy) in stage I endometrial cancer following total abdominal hysterectomy and bilateral salpingo-oophorectomy (TAH and BSO) remains unclear. To assess the efficacy of adjuvant radiotherapy following surgery for stage I endometrial cancer. The Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, CancerLit, Physician Data Query (PDQ) of National Cancer Institute. Handsearching was also carried out where appropriate. Randomised controlled trials (RCTs) which compared adjuvant radiotherapy versus no radiotherapy following surgery for patients with stage I endometrial cancer were included. Quality of the studies was assessed and data collected using a predefined data collection form. The primary endpoint was overall survival. Secondary endpoints were locoregional recurrence, distant recurrence and endometrial cancer death. Data on quality of life (QOL) and morbidity were also collected. A meta-analysis on included trials was performed using the Cochrane Collaboration Review Manager Software 4.2. The meta-analysis was performed on four trials (1770 patients). The addition of pelvic external beam radiotherapy to surgery reduced locoregional recurrence, a relative risk (RR) of 0.28 (95% confidence interval (CI) 0.17 to 0.44, p ASTEC; Lukka) are awaited. External beam radiotherapy carries a risk of toxicity and should be avoided in stage 1 endometrial cancer patients with no high risk factors.

ACCISS study rationale and design: activating collaborative cancer information service support for cervical cancer screening

Directory of Open Access Journals (Sweden)

Bullard Emily

2009-12-01

Full Text Available Abstract Background High-quality cancer information resources are available but underutilized by the public. Despite greater awareness of the National Cancer Institute's Cancer Information Service among low-income African Americans and Hispanics compared with Caucasians, actual Cancer Information Service usage is lower than expected, paralleling excess cancer-related morbidity and mortality for these subgroups. The proposed research examines how to connect the Cancer Information Service to low-income African-American and Hispanic women and their health care providers. The study will examine whether targeted physician mailing to women scheduled for colposcopy to follow up an abnormal Pap test can increase calls to the Cancer Information Service, enhance appropriate medical follow-up, and improve satisfaction with provider-patient communication. Methods/Design The study will be conducted in two clinics in ethnically diverse low-income communities in Chicago. During the formative phase, patients and providers will provide input regarding materials planned for use in the experimental phase of the study. The experimental phase will use a two-group prospective randomized controlled trial design. African American and Hispanic women with an abnormal Pap test will be randomized to Usual Care (routine colposcopy reminder letter or Intervention (reminder plus provider recommendation to call the Cancer Information Service and sample questions to ask. Primary outcomes will be: 1 calls to the Cancer Information Service; 2 timely medical follow-up, operationalized by whether the patient keeps her colposcopy appointment within six months of the abnormal Pap; and 3 patient satisfaction with provider-patient communication at follow-up. Discussion The study examines the effectiveness of a feasible, sustainable, and culturally sensitive strategy to increase awareness and use of the Cancer Information Service among an underserved population. The goal of linking a

Discovering beaten paths in collaborative ontology-engineering projects using Markov chains.

Science.gov (United States)

Walk, Simon; Singer, Philipp; Strohmaier, Markus; Tudorache, Tania; Musen, Mark A; Noy, Natalya F

2014-10-01

Biomedical taxonomies, thesauri and ontologies in the form of the International Classification of Diseases as a taxonomy or the National Cancer Institute Thesaurus as an OWL-based ontology, play a critical role in acquiring, representing and processing information about human health. With increasing adoption and relevance, biomedical ontologies have also significantly increased in size. For example, the 11th revision of the International Classification of Diseases, which is currently under active development by the World Health Organization contains nearly 50,000 classes representing a vast variety of different diseases and causes of death. This evolution in terms of size was accompanied by an evolution in the way ontologies are engineered. Because no single individual has the expertise to develop such large-scale ontologies, ontology-engineering projects have evolved from small-scale efforts involving just a few domain experts to large-scale projects that require effective collaboration between dozens or even hundreds of experts, practitioners and other stakeholders. Understanding the way these different stakeholders collaborate will enable us to improve editing environments that support such collaborations. In this paper, we uncover how large ontology-engineering projects, such as the International Classification of Diseases in its 11th revision, unfold by analyzing usage logs of five different biomedical ontology-engineering projects of varying sizes and scopes using Markov chains. We discover intriguing interaction patterns (e.g., which properties users frequently change after specific given ones) that suggest that large collaborative ontology-engineering projects are governed by a few general principles that determine and drive development. From our analysis, we identify commonalities and differences between different projects that have implications for project managers, ontology editors, developers and contributors working on collaborative ontology

Discovering Beaten Paths in Collaborative Ontology-Engineering Projects using Markov Chains

Science.gov (United States)

Walk, Simon; Singer, Philipp; Strohmaier, Markus; Tudorache, Tania; Musen, Mark A.; Noy, Natalya F.

2014-01-01

Biomedical taxonomies, thesauri and ontologies in the form of the International Classification of Diseases as a taxonomy or the National Cancer Institute Thesaurus as an OWL-based ontology, play a critical role in acquiring, representing and processing information about human health. With increasing adoption and relevance, biomedical ontologies have also significantly increased in size. For example, the 11th revision of the International Classification of Diseases, which is currently under active development by the World Health Organization contains nearly 50, 000 classes representing a vast variety of different diseases and causes of death. This evolution in terms of size was accompanied by an evolution in the way ontologies are engineered. Because no single individual has the expertise to develop such large-scale ontologies, ontology-engineering projects have evolved from small-scale efforts involving just a few domain experts to large-scale projects that require effective collaboration between dozens or even hundreds of experts, practitioners and other stakeholders. Understanding the way these different stakeholders collaborate will enable us to improve editing environments that support such collaborations. In this paper, we uncover how large ontology-engineering projects, such as the International Classification of Diseases in its 11th revision, unfold by analyzing usage logs of five different biomedical ontology-engineering projects of varying sizes and scopes using Markov chains. We discover intriguing interaction patterns (e.g., which properties users frequently change after specific given ones) that suggest that large collaborative ontology-engineering projects are governed by a few general principles that determine and drive development. From our analysis, we identify commonalities and differences between different projects that have implications for project managers, ontology editors, developers and contributors working on collaborative ontology

Cancer Treatment in Patients With HIV Infection and Non-AIDS-Defining Cancers: A Survey of US Oncologists.

Science.gov (United States)

Suneja, Gita; Boyer, Matthew; Yehia, Baligh R; Shiels, Meredith S; Engels, Eric A; Bekelman, Justin E; Long, Judith A

2015-05-01

HIV-infected individuals with non-AIDS-defining cancers are less likely to receive cancer treatment compared with uninfected individuals. We sought to identify provider-level factors influencing the delivery of oncology care to HIV-infected patients. A survey was mailed to 500 randomly selected US medical and radiation oncologists. The primary outcome was delivery of standard treatment, assessed by responses to three specialty-specific management questions. We used the χ(2) test to evaluate associations between delivery of standard treatment, provider demographics, and perceptions of HIV-infected individuals. Multivariable logistic regression identified associations using factor analysis to combine several correlated survey questions. Our response rate was 60%; 69% of respondents felt that available cancer management guidelines were insufficient for the care of HIV-infected patients with cancer; 45% never or rarely discussed their cancer management plan with an HIV specialist; 20% and 15% of providers were not comfortable discussing cancer treatment adverse effects and prognosis with their HIV-infected patients with cancer, respectively; 79% indicated that they would provide standard cancer treatment to HIV-infected patients. In multivariable analysis, physicians comfortable discussing adverse effects and prognosis were more likely to provide standard cancer treatment (adjusted odds ratio, 1.52; 95% CI, 1.12 to 2.07). Physicians with concerns about toxicity and efficacy of treatment were significantly less likely to provide standard cancer treatment (adjusted odds ratio, 0.67; 95% CI, 0.53 to 0.85). Provider-level factors are associated with delivery of nonstandard cancer treatment to HIV-infected patients. Policy change, provider education, and multidisciplinary collaboration are needed to improve access to cancer treatment. Copyright © 2015 by American Society of Clinical Oncology.

Supporting tactical intelligence using collaborative environments and social networking

Science.gov (United States)

Wollocko, Arthur B.; Farry, Michael P.; Stark, Robert F.

2013-05-01

Modern military environments place an increased emphasis on the collection and analysis of intelligence at the tactical level. The deployment of analytical tools at the tactical level helps support the Warfighter's need for rapid collection, analysis, and dissemination of intelligence. However, given the lack of experience and staffing at the tactical level, most of the available intelligence is not exploited. Tactical environments are staffed by a new generation of intelligence analysts who are well-versed in modern collaboration environments and social networking. An opportunity exists to enhance tactical intelligence analysis by exploiting these personnel strengths, but is dependent on appropriately designed information sharing technologies. Existing social information sharing technologies enable users to publish information quickly, but do not unite or organize information in a manner that effectively supports intelligence analysis. In this paper, we present an alternative approach to structuring and supporting tactical intelligence analysis that combines the benefits of existing concepts, and provide detail on a prototype system embodying that approach. Since this approach employs familiar collaboration support concepts from social media, it enables new-generation analysts to identify the decision-relevant data scattered among databases and the mental models of other personnel, increasing the timeliness of collaborative analysis. Also, the approach enables analysts to collaborate visually to associate heterogeneous and uncertain data within the intelligence analysis process, increasing the robustness of collaborative analyses. Utilizing this familiar dynamic collaboration environment, we hope to achieve a significant reduction of time and skill required to glean actionable intelligence in these challenging operational environments.

Russian delegation visits NIH and NCI to discuss research collaboration

Science.gov (United States)

The NCI Center for Global Health hosted a delegation from the Russian Foundation for Basic Research to discuss ongoing and future collaborations in cancer research. The delegation was accompanied by representatives from the US Embassy in Moscow and the Embassy of the Russian Federation in Washington DC.

Prognostic value of PLR in various cancers: a meta-analysis.

Directory of Open Access Journals (Sweden)

Xin Zhou

Full Text Available BACKGROUND: Recently, more and more studies investigated the association of inflammation parameters such as the Platelet Lymphocyte Ratio (PLR and the prognosis of various cancers. However, the prognostic role of PLR in cancer remains controversial. METHODS: We conducted a meta-analysis of published studies to evaluate the prognostic value of PLR in various cancers. In order to investigate the association between PLR and overall survival (OS, the hazard ratio (HR and its 95% confidence interval (CI were calculated. RESULTS: A total of 13,964 patients from 26 studies were included in the analysis. The summary results showed that elevated PLR was a negative predictor for OS with HR of 1.60 (95%CI: 1.35-1.90; Pheterogeneity <0.001. Subgroup analysis revealed that increased PLR was a negative prognostic marker in patients with gastric cancer (HR = 1.35, 95%CI: 0.80-2.25, Pheterogeneity = 0.011, colorectal cancer (HR = 1.65, 95%CI: 1.33-2.05, Pheterogeneity = 0.995, hepatocellular carcinoma (HR = 3.07, 95% CI: 2.04-4.62, Pheterogeneity = 0.133, ovarian cancer (HR = 1.57, 95%CI: 1.07-2.31, Pheterogeneity = 0.641 and non-small cell lung cancer (NSCLC (HR = 1.85, 95% CI: 1.42-2.41, Pheterogeneity = 0.451 except for pancreatic cancer (HR = 1.00, 95%CI: 0.92-1.09, Pheterogeneity = 0.388. CONCLUSION: The meta-analysis demonstrated that PLR could act as a significant biomarker in the prognosis of various cancers.

Cognitive and collaborative demands of freight conductor activities: results and implications of a cognitive task analysis

Science.gov (United States)

2012-07-31

This report presents the results of a cognitive task analysis (CTA) that examined the cognitive and collaborative demands placed on conductors, as well as the knowledge and skills that experienced conductors have developed that enable them to operate...

Innovation and network collaboration

DEFF Research Database (Denmark)

Kesting, Peter; Müller, Sabine; Jørgensen, Frances

2011-01-01

Research suggests that small and medium-sized enterprises (SMEs) can benefit from network collaboration by enhancing opportunities for innovation. Managing the necessary collaboration to benefit from network participation may however be particularly challenging for SMEs due to their size...... and their inherent shortage of resources. In this paper, we propose that human resource management (HRM) practices may provide a means by which SMEs can increase their innovation capacity through network collaboration. Following a brief presentation of the relevant literature on networks, and innovation in networks...... in particular, and HRM, we analyse and evaluate the potential applicability of existing models for supporting innovation in SMEs participating in networks. Finally, we propose several lines of inquiry arising from our analysis that provide directions for future research....

The Effects of Mobile-Computer-Supported Collaborative Learning: Meta-Analysis and Critical Synthesis

Science.gov (United States)

Sung, Yao-Ting; Yang, Je-Ming; Lee, Han-Yueh

2017-01-01

One of the trends in collaborative learning is using mobile devices for supporting the process and products of collaboration, which has been forming the field of mobile-computer-supported collaborative learning (mCSCL). Although mobile devices have become valuable collaborative learning tools, evaluative evidence for their substantial…

An analysis of national collaboration with Spanish researchers abroad in the health sciences.

Science.gov (United States)

Aceituno-Aceituno, Pedro; Romero-Martínez, Sonia Janeth; Victor-Ponce, Patricia; García-Núñez, José

2015-11-07

The establishment of scientific collaborations with researchers abroad can be considered a good practice to make appropriate use of their knowledge and to increase the possibilities of them returning to their country. This paper analyses the collaboration between Spanish researchers abroad devoted to health sciences and national science institutions. We used the Fontes' approach to perform a study on this collaboration with Spanish researchers abroad. We measured the level of national and international cooperation, the opportunity provided by the host country to collaborate, the promotion of collaboration by national science institutions, and the types of collaboration. A total of 88 biomedical researchers out of the 268 Spanish scientists who filled up the survey participated in the study. Different data analyses were performed to study the variables selected to measure the scientific collaboration and profile of Spanish researchers abroad. There is a high level of cooperation between Spanish health science researchers abroad and international institutions, which contrasts with the small-scale collaboration with national institutions. Host countries facilitate this collaboration with national and international scientific institutions to a larger extent than the level of collaboration promotion carried out by Spanish institutions. The national collaboration with Spanish researchers abroad in the health sciences is limited. Thus, the practice of making appropriate use of the potential of their expertise should be promoted and the opportunities for Spanish health science researchers to return home should be improved.

ANALYSIS OF RELAPSE RATE AND METASTASES OF HIGH DIFFERENTIATED THYROID CANCER

Directory of Open Access Journals (Sweden)

E. V. Savenok

2015-01-01

Full Text Available  Analysis of rate of relapses and metastases with well-differentiated thyroid cancer was performed for patients in 2009 to 2013. The study involved 189 patients with thyroid cancer including 98 (51.9 % patients suffering from papillary thyroid cancer, 77 (40.7 % patients suffering from follicular thyroid cancer, and 14 (7.4 % patients suffering from medullary thyroid cancer. 2.04 % of the 98 patients suffering from papillary thyroid cancer manifested a relapse, and lymphogenic metastases of cancer were revealed with 1.0 % of patients. With follicular thyroid cancer (n = 77, lymphogenic metastases were registered in 7.8 % of cases, relapses were revealed in 1.3 % of cases. This analysis demonstrated that observation of patients for 5 years revealed a higher percentage of metastases with patients that suffered from follicular thyroid cancer.

CM-DataONE: A Framework for collaborative analysis of climate model output

Science.gov (United States)

Xu, Hao; Bai, Yuqi; Li, Sha; Dong, Wenhao; Huang, Wenyu; Xu, Shiming; Lin, Yanluan; Wang, Bin

2015-04-01

CM-DataONE is a distributed collaborative analysis framework for climate model data which aims to break through the data access barriers of increasing file size and to accelerate research process. As data size involved in project such as the fifth Coupled Model Intercomparison Project (CMIP5) has reached petabytes, conventional methods for analysis and diagnosis of model outputs have been rather time-consuming and redundant. CM-DataONE is developed for data publishers and researchers from relevant areas. It can enable easy access to distributed data and provide extensible analysis functions based on tools such as NCAR Command Language, NetCDF Operators (NCO) and Climate Data Operators (CDO). CM-DataONE can be easily installed, configured, and maintained. The main web application has two separate parts which communicate with each other through APIs based on HTTP protocol. The analytic server is designed to be installed in each data node while a data portal can be configured anywhere and connect to a nearest node. Functions such as data query, analytic task submission, status monitoring, visualization and product downloading are provided to end users by data portal. Data conform to CMIP5 Model Output Format in each peer node can be scanned by the server and mapped to a global information database. A scheduler included in the server is responsible for task decomposition, distribution and consolidation. Analysis functions are always executed where data locate. Analysis function package included in the server has provided commonly used functions such as EOF analysis, trend analysis and time series. Functions are coupled with data by XML descriptions and can be easily extended. Various types of results can be obtained by users for further studies. This framework has significantly decreased the amount of data to be transmitted and improved efficiency in model intercomparison jobs by supporting online analysis and multi-node collaboration. To end users, data query is

SibRank: Signed bipartite network analysis for neighbor-based collaborative ranking

Science.gov (United States)

Shams, Bita; Haratizadeh, Saman

2016-09-01

Collaborative ranking is an emerging field of recommender systems that utilizes users' preference data rather than rating values. Unfortunately, neighbor-based collaborative ranking has gained little attention despite its more flexibility and justifiability. This paper proposes a novel framework, called SibRank that seeks to improve the state of the art neighbor-based collaborative ranking methods. SibRank represents users' preferences as a signed bipartite network, and finds similar users, through a novel personalized ranking algorithm in signed networks.

Cancer of the esophagus and esophagogastric junction-Major changes in the American Joint Committee on Cancer eighth edition cancer staging manual.

Science.gov (United States)

Rice, Thomas W; Gress, Donna M; Patil, Deepa T; Hofstetter, Wayne L; Kelsen, David P; Blackstone, Eugene H

2017-07-08

Answer questions and earn CME/CNE New to the eighth edition of the American Joint Committee on Cancer (AJCC) Cancer Staging Manual for epithelial cancers of the esophagus and esophagogastric junction are separate, temporally related cancer classifications: 1) before treatment decision (clinical); 2) after esophagectomy alone (pathologic); and 3) after preresection therapy followed by esophagectomy (postneoadjuvant pathologic). The addition of clinical and postneoadjuvant pathologic stage groupings was driven by a lack of correspondence of survival, and thus prognosis, between both clinical and postneoadjuvant pathologic cancer categories (facts about the cancer) and pathologic categories. This was revealed by a machine-learning analysis of 6-continent data from the Worldwide Esophageal Cancer Collaboration, with consensus of the AJCC Upper GI Expert Panel. Survival is markedly affected by histopathologic cell type (squamous cell carcinoma and adenocarcinoma) in clinically and pathologically staged patients, requiring separate stage grouping for each cell type. However, postneoadjuvant pathologic stage groups are identical. For the future, more refined and granular data are needed. This requires: 1) more accurate clinical staging; 2) innovative solutions to pathologic staging challenges in endoscopically resected cancers; 3) integration of genomics into staging; and 4) precision cancer care with targeted therapy. It is the responsibility of the oncology team to accurately determine and record registry data, which requires eliminating both common errors and those related to incompleteness and inconsistency. Despite the new complexity of eighth edition staging of cancers of the esophagus and esophagogastric junction, these key concepts and new directions will facilitate precision cancer care. CA Cancer J Clin 2017;67:304-317. © 2017 American Cancer Society. © 2017 American Cancer Society.

SOUTH AMERICAN COLLABORATION IN SCIENTIFIC PUBLICATIONS ON LEISHMANIASIS: BIBLIOMETRIC ANALYSIS IN SCOPUS (2000-2011

Directory of Open Access Journals (Sweden)

Charles Huamaní

2014-09-01

Full Text Available Objectives: Evaluate the production and the research collaborative network on Leishmaniasis in South America. Methods: A bibliometric research was carried out using SCOPUS database. The analysis unit was original research articles published from 2000 to 2011, that dealt with leishmaniasis and that included at least one South American author. The following items were obtained for each article: journal name, language, year of publication, number of authors, institutions, countries, and others variables. Results: 3,174 articles were published, 2,272 of them were original articles. 1,160 different institutional signatures, 58 different countries and 398 scientific journals were identified. Brazil was the country with more articles (60.7% and Oswaldo Cruz Foundation (FIOCRUZ had 18% of Brazilian production, which is the South American nucleus of the major scientific network in Leishmaniasis. Conclusions: South American scientific production on Leishmaniasis published in journals indexed in SCOPUS is focused on Brazilian research activity. It is necessary to strengthen the collaboration networks. The first step is to identify the institutions with higher production, in order to perform collaborative research according to the priorities of each country.

Leveraging National Cancer Institute Programmatic Collaboration for Uterine Cervix Cancer Patient Accrual in Puerto Rico

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Charles A. Kunos

2018-04-01

Full Text Available Women in the U.S. Commonwealth of Puerto Rico (PR have a higher age-adjusted incidence rate for uterine cervix cancer than the U.S. mainland as well as substantial access and economic barriers to cancer care. The National Cancer Institute (NCI funds a Minority/Underserved NCI Community Oncology Research Program in PR (PRNCORP as part of a national network of community-based health-care systems to conduct multisite cancer clinical trials in diverse populations. Participation by the PRNCORP in NCI’s uterine cervix cancer clinical trials, however, has remained limited. This study reports on the findings of an NCI site visit in PR to assess barriers impeding site activation and accrual to its sponsored gynecologic cancer clinical trials. Qualitative, semi-structured individual, and group interviews were conducted at six PRNCORP-affiliated locations to ascertain: long-term trial accrual objectives; key stakeholders in PR that address uterine cervix cancer care; key challenges or barriers to activating and to enrolling patients in NCI uterine cervix cancer treatment trials; and resources, policies, or procedures in place or needed on the island to support NCI-sponsored clinical trials. An NCI-sponsored uterine cervix cancer radiation–chemotherapy intervention clinical trial (NCT02466971, already activated on the island, served as a test case to identify relevant patient accrual and site barriers. The site visit identified five key barriers to accrual: (1 lack of central personnel to coordinate referrals for treatment plans, medical tests, and medical imaging across the island’s clinical trial access points; (2 patient insurance coverage; (3 lack of a coordinated brachytherapy schedule at San Juan-centric service providers; (4 limited credentialed radiotherapy machines island-wide; and (5 too few radiology medical physicists tasked to credential trial-specified positron emission tomography scanners island-wide. PR offers a unique opportunity to

Radiotherapy of invasive breast cancer: French national guidelines

International Nuclear Information System (INIS)

Besnard, S.; Mazeau-Woynar, V.; Verdoni, L.; Cutuli, B.; Fourquet, A.; Giard, S.; Hennequin, C.; Leblanc-Onfroy, M.

2012-01-01

The French National Cancer Institute (INCa) and Societe francaise de senologie et pathologie mammaire (SFSPM), in collaboration with a multidisciplinary experts group, have published the French national clinical practice guidelines on a selection of 11 currently debated questions regarding the management of invasive breast cancer. Those guidelines are based on a comprehensive analysis of the current published evidence dealing with those issues, secondly reviewed by 100 reviewers. Radiotherapy was concerned by five of the 11 questions: indications for the boost after whole gland irradiation; hypo-fractionated radiotherapy; partial breast irradiation; indications for mammary internal nodes irradiation, and indications of radiotherapy after neo-adjuvant chemotherapy. (authors)

Crystals against cancer

CERN Multimedia

2009-01-01

This is a remarkable example of direct technology transfer from particle physics to medicine. Clinical trials have begun in Portugal on a new medical imaging system for the diagnosis of breast cancer, which uses positron emission tomography (PET). The system, developed by a Portuguese consortium in collaboration with CERN and laboratories participating in the Crystal Clear collaboration, will detect even the smallest tumours and thus help avoid unnecessary biopsies.

[Interagency collaboration in Spanish scientific production in nursing: social network analysis].

Science.gov (United States)

Almero-Canet, Amparo; López-Ferrer, Mayte; Sales-Orts, Rafael

2013-01-01

The objectives of this paper are to analyze the Spanish scientific production in nursing, define its temporal evolution, its geographical and institutional distribution, and observe the interinstitutional collaboration. We analyze a comprehensive sample of Spanish scientific production in the nursing area extracted from the multidisciplinary database SciVerse Scopus. The nursing scientific production grows along time. The collaboration rate is 3.7 authors per paper and 61% of the authors only publish one paper. Barcelona and Madrid are the provinces with highest number of authors. Most belong to the hospitalary environment, followed closely by authors belonging to the university. The most institutions that collaborate, sharing authorship of articles are: University of Barcelona, Autonomous University of Barcelona and Clinic Hospital of Barcelona. The nursing scientific production has been increasing since her incorporation at the university. The collaboration rate found is higher than found for other papers. It shows a low decrease of occasional authors. It discusses the outlook of scientific collaboration in nursing in Spain, at the level of institutions by co-authorship of papers, through a network graph. It observes their distribution, importance and interactions or lack thereof. There is a strong need to use international databases for research, care and teaching, in addition to the national specialized information resources. Professionals are encouraged to normalization of the paper's signature, both, surnames and institutions to which they belong. It confirms the limited cooperation with foreign institutions, although there is an increasing trend of collaboration between Spanish authors in this discipline. It is observed, clearly defined three interinstitutional collaboration patterns. Copyright © 2012 Elsevier España, S.L. All rights reserved.

Pan-cancer analysis of TCGA data reveals notable signaling pathways

International Nuclear Information System (INIS)

Neapolitan, Richard; Horvath, Curt M.; Jiang, Xia

2015-01-01

A signal transduction pathway (STP) is a network of intercellular information flow initiated when extracellular signaling molecules bind to cell-surface receptors. Many aberrant STPs have been associated with various cancers. To develop optimal treatments for cancer patients, it is important to discover which STPs are implicated in a cancer or cancer-subtype. The Cancer Genome Atlas (TCGA) makes available gene expression level data on cases and controls in ten different types of cancer including breast cancer, colon adenocarcinoma, glioblastoma, kidney renal papillary cell carcinoma, low grade glioma, lung adenocarcinoma, lung squamous cell carcinoma, ovarian carcinoma, rectum adenocarcinoma, and uterine corpus endometriod carcinoma. Signaling Pathway Impact Analysis (SPIA) is a software package that analyzes gene expression data to identify whether a pathway is relevant in a given condition. We present the results of a study that uses SPIA to investigate all 157 signaling pathways in the KEGG PATHWAY database. We analyzed each of the ten cancer types mentioned above separately, and we perform a pan-cancer analysis by grouping the data for all the cancer types. In each analysis several pathways were found to be markedly more significant than all the other pathways. We call them notable. Research has already established a connection between many of these pathways and the corresponding cancer type. However, some of our discovered pathways appear to be new findings. Altogether there were 37 notable findings in the separate analyses, 26 of them occurred in 7 pathways. These 7 pathways included the 4 notable pathways discovered in the pan-cancer analysis. So, our results suggest that these 7 pathways account for much of the mechanisms of cancer. Furthermore, by looking at the overlap among pathways, we identified possible regions on the pathways where the aberrant activity is occurring. We obtained 37 notable findings concerning 18 pathways. Some of them appear to be

Integrated quantitative fractal polarimetric analysis of monolayer lung cancer cells

Science.gov (United States)

Shrestha, Suman; Zhang, Lin; Quang, Tri; Farrahi, Tannaz; Narayan, Chaya; Deshpande, Aditi; Na, Ying; Blinzler, Adam; Ma, Junyu; Liu, Bo; Giakos, George C.

2014-05-01

Digital diagnostic pathology has become one of the most valuable and convenient advancements in technology over the past years. It allows us to acquire, store and analyze pathological information from the images of histological and immunohistochemical glass slides which are scanned to create digital slides. In this study, efficient fractal, wavelet-based polarimetric techniques for histological analysis of monolayer lung cancer cells will be introduced and different monolayer cancer lines will be studied. The outcome of this study indicates that application of fractal, wavelet polarimetric principles towards the analysis of squamous carcinoma and adenocarcinoma cancer cell lines may be proved extremely useful in discriminating among healthy and lung cancer cells as well as differentiating among different lung cancer cells.

Development of a Self-Help Web-Based Intervention Targeting Young Cancer Patients With Sexual Problems and Fertility Distress in Collaboration With Patient Research Partners.

Science.gov (United States)

Winterling, Jeanette; Wiklander, Maria; Obol, Claire Micaux; Lampic, Claudia; Eriksson, Lars E; Pelters, Britta; Wettergren, Lena

2016-04-12

The Internet should be suitable for delivery of interventions targeting young cancer patients. Young people are familiar with the technologies, and this patient group is small and geographically dispersed. Still, only few psycho-educational Web-based interventions are designed for this group. Young cancer patients consider reproductive health, including sexuality, an area of great importance and approximately 50% report sexual problems and fertility-related concerns following cancer treatment. Therefore, we set out to develop a self-help Web-based intervention, Fex-Can, to alleviate such problems. To improve its quality, we decided to involve patients and significant others as research partners. The first 18 months of our collaboration are described in this paper. The intervention will subsequently be tested in a feasibility study followed by a randomized controlled trial. The study aims to describe the development of a Web-based intervention in long-term collaboration with patient research partners (PRPs). Ten former cancer patients and two significant others participated in building the Web-based intervention, using a participatory design. The development process is described according to the design step in the holistic framework presented by van Gemert-Pijnen et al and evaluates the PRPs' impact on the content, system, and service quality of the planned intervention. The collaboration between the research group and the PRPs mainly took place in the form of 1-day meetings to develop the key components of the intervention: educational and behavior change content, multimedia (pictures, video vignettes, and audios), interactive online activities (eg, self-monitoring), and partial feedback support (discussion forum, tailored feedback from experts). The PRPs influenced the intervention's content quality in several ways. By repeated feedback on prototypes, the information became more comprehensive, relevant, and understandable. The PRPs gave suggestions concerning the

Patterns in PARTNERing across Public Health Collaboratives

Science.gov (United States)

Bevc, Christine A.; Retrum, Jessica H.; Varda, Danielle M.

2015-01-01

Inter-organizational networks represent one of the most promising practice-based approaches in public health as a way to attain resources, share knowledge, and, in turn, improve population health outcomes. However, the interdependencies and effectiveness related to the structure, management, and costs of these networks represents a critical item to be addressed. The objective of this research is to identify and determine the extent to which potential partnering patterns influence the structure of collaborative networks. This study examines data collected by PARTNER, specifically public health networks (n = 162), to better understand the structured relationships and interactions among public health organizations and their partners, in relation to collaborative activities. Combined with descriptive analysis, we focus on the composition of public health collaboratives in a series of Exponential Random Graph (ERG) models to examine the partnerships between different organization types to identify the attribute-based effects promoting the formation of network ties within and across collaboratives. We found high variation within and between these collaboratives including composition, diversity, and interactions. The findings of this research suggest common and frequent types of partnerships, as well as opportunities to develop new collaborations. The result of this analysis offer additional evidence to inform and strengthen public health practice partnerships. PMID:26445053

Patterns in PARTNERing across Public Health Collaboratives.

Science.gov (United States)

Bevc, Christine A; Retrum, Jessica H; Varda, Danielle M

2015-10-05

Inter-organizational networks represent one of the most promising practice-based approaches in public health as a way to attain resources, share knowledge, and, in turn, improve population health outcomes. However, the interdependencies and effectiveness related to the structure, management, and costs of these networks represents a critical item to be addressed. The objective of this research is to identify and determine the extent to which potential partnering patterns influence the structure of collaborative networks. This study examines data collected by PARTNER, specifically public health networks (n = 162), to better understand the structured relationships and interactions among public health organizations and their partners, in relation to collaborative activities. Combined with descriptive analysis, we focus on the composition of public health collaboratives in a series of Exponential Random Graph (ERG) models to examine the partnerships between different organization types to identify the attribute-based effects promoting the formation of network ties within and across collaboratives. We found high variation within and between these collaboratives including composition, diversity, and interactions. The findings of this research suggest common and frequent types of partnerships, as well as opportunities to develop new collaborations. The result of this analysis offer additional evidence to inform and strengthen public health practice partnerships.

Patterns in PARTNERing across Public Health Collaboratives

Directory of Open Access Journals (Sweden)

Christine A. Bevc

2015-10-01

Full Text Available Inter-organizational networks represent one of the most promising practice-based approaches in public health as a way to attain resources, share knowledge, and, in turn, improve population health outcomes. However, the interdependencies and effectiveness related to the structure, management, and costs of these networks represents a critical item to be addressed. The objective of this research is to identify and determine the extent to which potential partnering patterns influence the structure of collaborative networks. This study examines data collected by PARTNER, specifically public health networks (n = 162, to better understand the structured relationships and interactions among public health organizations and their partners, in relation to collaborative activities. Combined with descriptive analysis, we focus on the composition of public health collaboratives in a series of Exponential Random Graph (ERG models to examine the partnerships between different organization types to identify the attribute-based effects promoting the formation of network ties within and across collaboratives. We found high variation within and between these collaboratives including composition, diversity, and interactions. The findings of this research suggest common and frequent types of partnerships, as well as opportunities to develop new collaborations. The result of this analysis offer additional evidence to inform and strengthen public health practice partnerships.

Transcriptome analysis of recurrently deregulated genes across multiple cancers identifies new pan-cancer biomarkers

DEFF Research Database (Denmark)

Kaczkowski, Bogumil; Tanaka, Yuji; Kawaji, Hideya

2016-01-01

Genes that are commonly deregulated in cancer are clinically attractive as candidate pan-diagnostic markers and therapeutic targets. To globally identify such targets, we compared Cap Analysis of Gene Expression (CAGE) profiles from 225 different cancer cell lines and 339 corresponding primary cell...

Evaluating the Collaborative Ecosystem for an Innovation-Driven Economy: A Systems Analysis and Case Study of Science Parks

Directory of Open Access Journals (Sweden)

Min-Ren Yan

2018-03-01

Full Text Available National policies for science parks and innovation have been identified as one of the major driving forces for the innovation-driven economy, especially for publicly funded science parks. To investigate this collaborative ecosystem (government-academia-industry for growth and sustainable development, this paper proposes a nation-wide economic impact analysis of science parks and innovation policy based on historical data drawn from one of the globally recognized high-technology industrial clusters in Taiwan. Systems thinking with causal loop analysis are adopted to improve our understanding of the collaborative ecosystem with science park policies. First, from a holistic viewpoint, the role of government in a science parks and innovation ecosystem is reviewed. A systems analysis of an innovation-driven economy with a science park policy is presented as a strategy map for policy implementers. Second, the added economic value and employment of the benchmarked science parks is evaluated from a long range perspective. Third, the concepts of government-academia-industry collaboration and policies to innovation ecosystem are introduced while addressing the measures and performance of innovation and applied R&D in the science parks. We conclude with a discussion of lessons learned and the policy implications of science park development and an innovation ecosystem.

Sedentary behavior and incident cancer: a meta-analysis of prospective studies.

Directory of Open Access Journals (Sweden)

Dong Shen

Full Text Available Sedentary behavior is ubiquitous in modern adults' daily lives and it has been suggested to be associated with incident cancer. However, the results have been inconsistent. In this study, we performed a systematic review and meta-analysis of prospective cohort studies to clarify the association between sedentary behavior and incident cancer.PubMed and Embase databases were searched up to March 2014. All prospective cohort studies on the association between sedentary behavior and incident cancer were included. The summary relative risks (RRs with 95% confidence intervals (CIs were estimated using random effect model.A total of 17 prospective studies from 14 articles, including a total of 857,581 participants and 18,553 cases, were included in the analysis for sedentary behavior and risk of incident cancer. The overall meta-analysis suggested that sedentary behavior increased risk of cancer (RR = 1.20, 95%CI = 1.12-1.28, with no evidence of heterogeneity between studies (I(2 = 7.3%, P = 0.368. Subgroup analyses demonstrated that there were statistical associations between sedentary behavior and some cancer types (endometrial cancer: RR = 1.28, 95% CI = 1.08-1.53; colorectal cancer: RR = 1.30, 95%CI = 1.12-1.49; breast cancer: RR = 1.17, 95%CI = 1.03-1.33; lung cancer: RR = 1.27, 95%CI = 1.06-1.52. However, there was no association of sedentary behavior with ovarian cancer (RR = 1.26, 95%CI = 0.87-1.82, renal cell carcinoma (RR = 1.11, 95%CI = 0.87-1.41 or non-Hodgkin lymphoid neoplasms (RR = 1.09, 95%CI = 0.82-1.43.The present meta-analysis suggested that prolonged sedentary behavior was independently associated with an increased risk of incident endometrial, colorectal, breast, and lung cancers, but not with ovarian cancer, renal cell carcinoma or non-Hodgkin lymphoid neoplasms.

Exploring the Technological Collaboration Characteristics of the Global Integrated Circuit Manufacturing Industry

Directory of Open Access Journals (Sweden)

Yun Liu

2018-01-01

Full Text Available With the intensification of international competition, there are many international technological collaborations in the integrated circuit manufacturing (ICM industry. The importance of improving the level of international technological collaboration is becoming more and more prominent. Therefore, it is vital for a country, a region, or an institution to understand the international technological collaboration characteristics of the ICM industry and, thus, to know how to enhance its own international technological collaboration. This paper depicts the international technological collaboration characteristics of the ICM industry based on patent analysis. Four aspects, which include collaboration patterns, collaboration networks, collaboration institutions, and collaboration impacts, are analyzed by utilizing patent association analysis and social network analysis. The findings include the following: first, in regard to international technological collaboration, the USA has the highest level, while Germany has great potential for future development; second, Asia and Europe have already formed clusters, respectively, in the cooperative network; last, but not least, research institutions, colleges, and universities should also actively participate in international collaboration. In general, this study provides an objective reference for policy making, competitiveness, and sustainability in the ICM industry. The framework presented in this paper could be applied to examine other industrial international technological collaborations.

Learning Performance Enhancement Using Computer-Assisted Language Learning by Collaborative Learning Groups

Directory of Open Access Journals (Sweden)

Ya-huei Wang

2017-08-01

Full Text Available This study attempted to test whether the use of computer-assisted language learning (CALL and innovative collaborative learning could be more effective than the use of traditional collaborative learning in improving students’ English proficiencies. A true experimental design was used in the study. Four randomly-assigned groups participated in the study: a traditional collaborative learning group (TCLG, 34 students, an innovative collaborative learning group (ICLG, 31 students, a CALL traditional collaborative learning group (CALLTCLG, 32 students, and a CALL innovative collaborative learning group (CALLICLG, 31 students. TOEIC (Test of English for International Communication listening, reading, speaking, and writing pre-test and post-test assessments were given to all students at an interval of sixteen weeks. Multivariate analysis of covariance (MANCOVA, multivariate analysis of variance (MANOVA, and analysis of variance (ANOVA were used to analyze the data. The results revealed that students who used CALL had significantly better learning performance than those who did not. Students in innovative collaborative learning had significantly better learning performances than those in traditional collaborative learning. Additionally, students using CALL innovative collaborative learning had better learning performances than those in CALL collaborative learning, those in innovative collaborative learning, and those in traditional collaborative learning.

Cardio-Oncology - A new subspecialty with collaboration at its heart.

Science.gov (United States)

Ghosh, Arjun K; Walker, J Malcolm

Cardio-Oncology is the care of cancer patients with cardiovascular disease, overt or occult, already established or acquired during treatment. Cancer patients can present with a variety of cardiovascular problems not all of which are directly related to cancer therapy (medications or radiotherapy). The cardiovascular problems of oncology patients can range from ischaemia to arrhythmias and can also include valve problems and heart failure. As such, within cardiology, teamwork is required with members of different cardiology subspecialties. The way forward will be to adopt a multidisciplinary approach to produce optimal individual care. Close collaboration between cardiology and oncology specialists in a Cardio-Oncology setting can make this happen. Copyright © 2017. Published by Elsevier B.V.

P-MartCancer-Interactive Online Software to Enable Analysis of Shotgun Cancer Proteomic Datasets.

Science.gov (United States)

Webb-Robertson, Bobbie-Jo M; Bramer, Lisa M; Jensen, Jeffrey L; Kobold, Markus A; Stratton, Kelly G; White, Amanda M; Rodland, Karin D

2017-11-01

P-MartCancer is an interactive web-based software environment that enables statistical analyses of peptide or protein data, quantitated from mass spectrometry-based global proteomics experiments, without requiring in-depth knowledge of statistical programming. P-MartCancer offers a series of statistical modules associated with quality assessment, peptide and protein statistics, protein quantification, and exploratory data analyses driven by the user via customized workflows and interactive visualization. Currently, P-MartCancer offers access and the capability to analyze multiple cancer proteomic datasets generated through the Clinical Proteomics Tumor Analysis Consortium at the peptide, gene, and protein levels. P-MartCancer is deployed as a web service (https://pmart.labworks.org/cptac.html), alternatively available via Docker Hub (https://hub.docker.com/r/pnnl/pmart-web/). Cancer Res; 77(21); e47-50. ©2017 AACR . ©2017 American Association for Cancer Research.

Collaborative Economy

DEFF Research Database (Denmark)

collaborative economy and tourism Dianne Dredge and Szilvia Gyimóthy PART I - Theoretical explorations 2.Definitions and mapping the landscape in the collaborative economy Szilvia Gyimóthy and Dianne Dredge 3.Business models of the collaborative economy Szilvia Gyimóthy 4.Responsibility and care...... in the collaborative economy Dianne Dredge 5.Networked cultures in the collaborative economy Szilvia Gyimóthy 6.Policy and regulatory perspectives in the collaborative economy Dianne Dredge PART II - Disruptions, innovations and transformations 7.Regulating innovation in the collaborative economy: An examination...... localities of tourism Greg Richards 11.Collaborative economy and destination marketing organizations: A systems approach Jonathan Day 12.Working within the Collaborative Tourist Economy: The complex crafting of work and meaning Jane Widtfeldt Meged and Mathilde Dissing Christensen PART - III Encounters...

Massage Therapy in Outpatient Cancer Care: A Metropolitan Area Analysis

Science.gov (United States)

Miccio, Robin Streit; Parikh, Bijal

2017-01-01

Massage offers cancer patients general quality of life benefits as well as alleviation of cancer-related symptoms/cancer-treatment–related symptoms including pain, anxiety, and fatigue. Little is known about whether massage is accessible to cancer patients who receive treatment in the outpatient setting and how massage is incorporated into the overall cancer treatment plan. Outpatient cancer centers (n = 78) in a single metropolitan area were included this mixed-methods project that included a systematic analysis of website information and a telephone survey. Massage was offered at only 40 centers (51.3% of total). A range of massage modalities were represented, with energy-based therapies (Reiki and Therapeutic Touch) most frequently provided. Although massage therapists are licensed health care providers in the states included in this analysis, massage was also provided by nurses, physical therapists, and other health care professionals. PMID:28845677

Massage Therapy in Outpatient Cancer Care: A Metropolitan Area Analysis.

Science.gov (United States)

Cowen, Virginia S; Miccio, Robin Streit; Parikh, Bijal

2017-10-01

Massage offers cancer patients general quality of life benefits as well as alleviation of cancer-related symptoms/cancer-treatment-related symptoms including pain, anxiety, and fatigue. Little is known about whether massage is accessible to cancer patients who receive treatment in the outpatient setting and how massage is incorporated into the overall cancer treatment plan. Outpatient cancer centers (n = 78) in a single metropolitan area were included this mixed-methods project that included a systematic analysis of website information and a telephone survey. Massage was offered at only 40 centers (51.3% of total). A range of massage modalities were represented, with energy-based therapies (Reiki and Therapeutic Touch) most frequently provided. Although massage therapists are licensed health care providers in the states included in this analysis, massage was also provided by nurses, physical therapists, and other health care professionals.

Epistemological development and collaborative learning: a hermeneutic analysis of music therapy students' experience.

Science.gov (United States)

Luce, David W

2008-01-01

Undergraduate education must address student's developmental needs, as well as their learning needs. Yet, there has been little discussion regarding music therapy students' epistemological development, how that influences their education and clinical training, and how that understanding can inform educators and clinical supervisors. As part of an introductory music therapy course that was taught using collaborative learning consensus groups, students provided written and verbal comments about their experience and some students agreed to a series of interviews (Luce, 2002). This hermeneutic analysis of that data was based upon Perry's Scheme and Women's Ways of Knowing suggested that (a) the students' comments reflected the various perspectives or positions within the models, (b) the collaborative learning consensus groups facilitated transitions and movement within the models, and (c) there was a need for more research to understand music therapy students' developmental needs, to enhance teaching methods and pedagogy, and to address students' developmental needs as they prepare to enter the profession.

International Collaboration: the Virtuous Cycle of Low Carbon Innovation and Diffusion. An Analysis of Solar Photovoltaic, Concentrating Solar Power and Carbon Capture and Storage

International Nuclear Information System (INIS)

Dominique, Katheen

2010-01-01

International collaboration can be leveraged to accelerate the innovation and diffusion of low carbon technologies required to realize the shift to a low carbon trajectory. A collaborative approach to innovation has the potential to capture several benefits, including: pooling risks and achieving scale; knowledge sharing that accommodates competition and cooperation; the creation of a global market; facilitation of policy learning and exchange; and the alignment of technology, finance and policy. International Collaboration: the Virtuous Cycle of Low Carbon Innovation and Diffusion An Analysis of Solar Photovoltaic, Concentrating Solar Power and Carbon Capture and Storage A range of obstacles to the diffusion of low carbon technologies provides ample opportunity for international collaboration in global market creation and capacity building, expanding beyond conventional modes of technology transfer. Current collaborative efforts for carbon capture and storage, solar photovoltaic and concentrating solar power technologies are active in all stages of innovation and diffusion and involve a wide range of actors. Yet, current efforts are not sufficient to achieve the necessary level of emission mitigation at the pace required to avoid catastrophic levels of atmospheric destabilization. This analysis sets forth recommendation to scale up current endeavors and create new ones. The analysis begins by describing the fundamental characteristics of innovation and diffusion processes that create opportunities for international collaboration. It then illustrates a broad array of on-going collaborative activities, depicting how these efforts contribute to innovation and diffusion. Finally, highlighting the gap between the current level of collaborative activities and technology targets deemed critical for emission mitigation, the report sets forth several recommendations to build on current efforts and construct new endeavors

Processes of international collaboration in management research

DEFF Research Database (Denmark)

Jonsen, Karsten; Butler, Christina; Mäkelä, Kristiina

2013-01-01

Scientists and academics increasingly work on collaborative projects and write papers in international research teams. This trend is driven by greater publishing demands in terms of the quality and breadth of data and analysis methods, which tend to be difficult to achieve without collaborating...... across institutional and national boundaries. Yet, our understanding of the collaborative processes in an academic setting and the potential tensions associated with them remains limited. We use a reflexive, autoethnographic approach to explicitly investigate our own experiences of international...... collaborative research. We offer systematic insights into the social and intellectual processes of academic collaborative writing, identifying six lessons and two key tensions that influence the success of international research teams. Our findings may benefit the formation of future coauthor teams...

Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool.

Science.gov (United States)

Chen, Edward Y; Tan, Christopher M; Kou, Yan; Duan, Qiaonan; Wang, Zichen; Meirelles, Gabriela Vaz; Clark, Neil R; Ma'ayan, Avi

2013-04-15

System-wide profiling of genes and proteins in mammalian cells produce lists of differentially expressed genes/proteins that need to be further analyzed for their collective functions in order to extract new knowledge. Once unbiased lists of genes or proteins are generated from such experiments, these lists are used as input for computing enrichment with existing lists created from prior knowledge organized into gene-set libraries. While many enrichment analysis tools and gene-set libraries databases have been developed, there is still room for improvement. Here, we present Enrichr, an integrative web-based and mobile software application that includes new gene-set libraries, an alternative approach to rank enriched terms, and various interactive visualization approaches to display enrichment results using the JavaScript library, Data Driven Documents (D3). The software can also be embedded into any tool that performs gene list analysis. We applied Enrichr to analyze nine cancer cell lines by comparing their enrichment signatures to the enrichment signatures of matched normal tissues. We observed a common pattern of up regulation of the polycomb group PRC2 and enrichment for the histone mark H3K27me3 in many cancer cell lines, as well as alterations in Toll-like receptor and interlukin signaling in K562 cells when compared with normal myeloid CD33+ cells. Such analyses provide global visualization of critical differences between normal tissues and cancer cell lines but can be applied to many other scenarios. Enrichr is an easy to use intuitive enrichment analysis web-based tool providing various types of visualization summaries of collective functions of gene lists. Enrichr is open source and freely available online at: http://amp.pharm.mssm.edu/Enrichr.

Testicular cancer in twins: a meta-analysis.

Science.gov (United States)

Neale, R E; Carrière, P; Murphy, M F G; Baade, P D

2008-01-15

In a meta-analysis of testicular cancer in twins, twins had a 30% increased risk (estimate 1.31, 95% CI 1.1-1.6), providing indirect support for the hypothesis that in utero hormone variations influence risk of testicular cancer. The summary-estimate for dizygotic twins was 1.3 (1.0-1.7) and for monozygotic or same sex twins 1.4 (1.2-1.8).

Advanced tools for enhancing control room collaborations

International Nuclear Information System (INIS)

Abla, G.; Flanagan, S.M.; Peng, Q.; Burruss, J.R.; Schissel, D.P.

2006-01-01

The US National Fusion Collaboratory (NFC) project has been exploring a variety of computer and network technologies to develop a persistent, efficient, reliable and convenient collaborative environment for magnetic fusion research. One goal is to enhance remote and collocated team collaboration by integrating collaboration software tools into control room operations as well as with data analysis tools. To achieve this goal, the NFC recently introduced two new collaboration technologies into the DIII-D tokamak control room. The first technology is a high-resolution, large format Shared Display Wall (SDW). By creating a shared public display space and providing real time visual information about the multiple aspects of complex experiment activity, the large SDW plays an important role in increasing the rate of information dissemination and promoting interaction among team members. The second technology being implemented is the 'tokamak control room aware' Instant Messaging (IM) service. In addition to providing text-chat capabilities for research scientists, it enables them to automatically receive information about experiment operations and data analysis processes to remotely monitor the status of ongoing tokamak experiment. As a result, the IM service has become a unified portal interface for team collaboration and remote participation

Advanced tools for enhancing control room collaborations

Energy Technology Data Exchange (ETDEWEB)

Abla, G. [General Atomics, P.O. Box 85608, San Diego, CA 92186 5608 (United States)]. E-mail: abla@fusion.gat.com; Flanagan, S.M. [General Atomics, P.O. Box 85608, San Diego, CA 92186 5608 (United States); Peng, Q. [General Atomics, P.O. Box 85608, San Diego, CA 92186 5608 (United States); Burruss, J.R. [General Atomics, P.O. Box 85608, San Diego, CA 92186 5608 (United States); Schissel, D.P. [General Atomics, P.O. Box 85608, San Diego, CA 92186 5608 (United States)

2006-07-15

The US National Fusion Collaboratory (NFC) project has been exploring a variety of computer and network technologies to develop a persistent, efficient, reliable and convenient collaborative environment for magnetic fusion research. One goal is to enhance remote and collocated team collaboration by integrating collaboration software tools into control room operations as well as with data analysis tools. To achieve this goal, the NFC recently introduced two new collaboration technologies into the DIII-D tokamak control room. The first technology is a high-resolution, large format Shared Display Wall (SDW). By creating a shared public display space and providing real time visual information about the multiple aspects of complex experiment activity, the large SDW plays an important role in increasing the rate of information dissemination and promoting interaction among team members. The second technology being implemented is the 'tokamak control room aware' Instant Messaging (IM) service. In addition to providing text-chat capabilities for research scientists, it enables them to automatically receive information about experiment operations and data analysis processes to remotely monitor the status of ongoing tokamak experiment. As a result, the IM service has become a unified portal interface for team collaboration and remote participation.

A Social Network Analysis of Teaching and Research Collaboration in a Teachers' Virtual Learning Community

Science.gov (United States)

Lin, Xiaofan; Hu, Xiaoyong; Hu, Qintai; Liu, Zhichun

2016-01-01

Analysing the structure of a social network can help us understand the key factors influencing interaction and collaboration in a virtual learning community (VLC). Here, we describe the mechanisms used in social network analysis (SNA) to analyse the social network structure of a VLC for teachers and discuss the relationship between face-to-face…

Design of Scalable and Effective Earth Science Collaboration Tool

Science.gov (United States)

Maskey, M.; Ramachandran, R.; Kuo, K. S.; Lynnes, C.; Niamsuwan, N.; Chidambaram, C.

2014-12-01

Collaborative research is growing rapidly. Many tools including IDEs are now beginning to incorporate new collaborative features. Software engineering research has shown the effectiveness of collaborative programming and analysis. In particular, drastic reduction in software development time resulting in reduced cost has been highlighted. Recently, we have witnessed the rise of applications that allow users to share their content. Most of these applications scale such collaboration using cloud technologies. Earth science research needs to adopt collaboration technologies to reduce redundancy, cut cost, expand knowledgebase, and scale research experiments. To address these needs, we developed the Earth science collaboration workbench (CWB). CWB provides researchers with various collaboration features by augmenting their existing analysis tools to minimize learning curve. During the development of the CWB, we understood that Earth science collaboration tasks are varied and we concluded that it is not possible to design a tool that serves all collaboration purposes. We adopted a mix of synchronous and asynchronous sharing methods that can be used to perform collaboration across time and location dimensions. We have used cloud technology for scaling the collaboration. Cloud has been highly utilized and valuable tool for Earth science researchers. Among other usages, cloud is used for sharing research results, Earth science data, and virtual machine images; allowing CWB to create and maintain research environments and networks to enhance collaboration between researchers. Furthermore, collaborative versioning tool, Git, is integrated into CWB for versioning of science artifacts. In this paper, we present our experience in designing and implementing the CWB. We will also discuss the integration of collaborative code development use cases for data search and discovery using NASA DAAC and simulation of satellite observations using NASA Earth Observing System Simulation

Association of OPN rs11730582 polymorphism with cancer risk: a meta-analysis

Directory of Open Access Journals (Sweden)

He LL

2016-03-01

Full Text Available Lanlan He,1,* Yong Wang2,* 1Emergency Department, Zhenjiang First People’s Hospital, Zhenjiang, People’s Republic of China; 2Department of Interventional Radiology and Vascular Surgery, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, People’s Republic of China *Both authors contributed equally to this work Purpose: Several molecular epidemiological studies have investigated the association between OPN rs11730582 C>T polymorphism and cancer risk, but the results are inconsistent. Hence, a meta-analysis was conducted to determine the association of this polymorphism with cancer risk. Materials and methods: The related articles were searched in PubMed, Embase, and Chinese National Knowledge Infrastructure databases. Pooled odds ratios and 95% confidence intervals were calculated to evaluate the strength of the associations. A random-effects model or fixed-effects model was employed depending on the heterogeneity. Results: A total of ten case-control studies involving 2,749 cancer cases and 3,398 controls were included in the meta-analysis. In overall analysis, OPN rs11730582 C>T polymorphism was not associated with cancer risk. In a stratified analysis by cancer type, no significant association was found between OPN rs11730582 C>T polymorphism and the risk of glioma, gastric cancer, and other cancers. Conclusion: This meta-analysis suggests that OPN rs11730582 C>T polymorphism is not associated with cancer susceptibility. Keywords: osteopontin, polymorphism, cancer, risk 

Analysis of team types based on collaborative relationships among doctors, home-visiting nurses and care managers for effective support of patients in end-of-life home care.

Science.gov (United States)

Fujita, Junko; Fukui, Sakiko; Ikezaki, Sumie; Otoguro, Chizuru; Tsujimura, Mayuko

2017-11-01

To define the team types consisting of doctors, home-visiting nurses and care managers for end-of-life care by measuring the collaboration relationship, and to identify the factors related to the team types. A questionnaire survey of 43 teams including doctors, home-visiting nurses and care managers was carried out. The team types were classified based on mutual evaluations of the collaborative relationships among the professionals. To clarify the factors between team types with the patient characteristics, team characteristics and collaboration competency, univariate analysis was carried out with the Fisher's exact test or one-way analysis and multiple comparison analysis. Three team types were classified: the team where the collaborative relationships among all healthcare professionals were good; the team where the collaborative relationships between the doctors and care managers were poor; and the team where the collaborative relationships among all of the professionals were poor. There was a statistically significant association between the team types and the following variables: patient's dementia level, communication tool, professionals' experience of working with other team members, home-visiting nurses' experience of caring for dying patients, care managers' background qualifications, doctor's face-to-face cooperation with other members and home-visiting nurses' collaborative practice. It is suggested that a collaborative relationship would be fostered by more experience of working together, using communication tools and enhancing each professional's collaboration competency. Geriatr Gerontol Int 2017; 17: 1943-1950. © 2017 Japan Geriatrics Society.

Best Collaborative Publication Announced during Spring Research Festival Week | Poster

Science.gov (United States)

By Nancy Parrish, Staff Writer The winner of the 2012 competition for the best collaborative publication was announced on May 7, as part of the lead-up to the Spring Research Festival sponsored by the National Interagency Confederation for Biological Research (NICBR) and the National Cancer Institute at Frederick on May 8 and 9.

Application of FT-IR spectroscopy on breast cancer serum analysis

Science.gov (United States)

Elmi, Fatemeh; Movaghar, Afshin Fayyaz; Elmi, Maryam Mitra; Alinezhad, Heshmatollah; Nikbakhsh, Novin

2017-12-01

Breast cancer is regarded as the most malignant tumor among women throughout the world. Therefore, early detection and proper diagnostic methods have been known to help save women's lives. Fourier Transform Infrared (FT-IR) spectroscopy, coupled with PCA-LDA analysis, is a new technique to investigate the characteristics of serum in breast cancer. In this study, 43 breast cancer and 43 healthy serum samples were collected, and the FT-IR spectra were recorded for each one. Then, PCA analysis and linear discriminant analysis (LDA) were used to analyze the spectral data. The results showed that there were differences between the spectra of the two groups. Discriminating wavenumbers were associated with several spectral differences over the 950-1200 cm- 1(sugar), 1190-1350 cm- 1 (collagen), 1475-1710 cm- 1 (protein), 1710-1760 cm- 1 (ester), 2800-3000 cm- 1 (stretching motions of -CH2 & -CH3), and 3090-3700 cm- 1 (NH stretching) regions. PCA-LDA performance on serum IR could recognize changes between the control and the breast cancer cases. The diagnostic accuracy, sensitivity, and specificity of PCA-LDA analysis for 3000-3600 cm- 1 (NH stretching) were found to be 83%, 84%, 74% for the control and 80%, 76%, 72% for the breast cancer cases, respectively. The results showed that the major spectral differences between the two groups were related to the differences in protein conformation in serum samples. It can be concluded that FT-IR spectroscopy, together with multivariate data analysis, is able to discriminate between breast cancer and healthy serum samples.

Collaboration

Science.gov (United States)

King, Michelle L.

2010-01-01

This article explores collaboration between library media educators and regular classroom teachers. The article focuses on the context of the issue, positions on the issue, the impact of collaboration, and how to implement effective collaboration into the school system. Various books and professional journals are used to support conclusions…

The influence of learning in collaborative improvement

DEFF Research Database (Denmark)

Nielsen, Jacob S.; Boer, Harry; Gertsen, Frank

2008-01-01

Collaborative improvement is a purposeful inter-company interactive process that focuses on continuous incremental innovation aimed at enhancing the partnership's overall performance. Considering that in such an environment the capability to learn jointly and individually is crucial, this paper...... takes a learning perspective on collaborative improvement and addresses the question: How do organisational learning and collaboration interplay and affect improvement performance? Based on an analysis of three dyads of the same Extended Manufacturing Enterprise, this paper concludes that a robust...

Improved Personalized Cancer Immunotherapy | NCI Technology Transfer Center | TTC

Science.gov (United States)

The National Cancer Institute’s Surgery Branch seeks partners interested in collaborative research to co-develop adoptive transfer of tumor infiltrating leukocytes (TIL) for cancers other than melanoma.

Joint analysis of site-specific cancer risks for the atomic bomb survivors

International Nuclear Information System (INIS)

Pierce, D.A.; Preston, D.L.

1993-01-01

Statistical methods are presented for joint analysis of site-specific cancer risks for the atomic-bomb survivors. Previous analyses of these data, aside from those on leukemia, have been made either without regard to cancer type, or separately for types or classes of cancers. Clearly, analyses without regard to cancer type are less than satisfactory. The primary advantages of joint, rather than separate, analyses are that (1) models can be fitted with parameters common to cancer types, which can allow more-precise estimation of effects of interest, (2) significance tests can be used to compare type-specific risks, and (3) a clearer understanding may be obtained of risk-modification factors such as sex, age at exposure, and time since exposure. Joint analysis is straightforward, entailing primarily the incorporation of another factor for cancer type in the usual cross-tabulation of the data for analysis. The use of these methods is illustrated in an analysis of the three categories of cancer studied by the fifth Advisory Committee on the Biological Effects of Ionizing Radiation (BEIR V): digestive, respiratory, and other solid tumors. Based on this analysis, some criticism is made of the BEIR V-preferred models. Since the proposed methods are applicable to models for either relative or absolute risks, some comments on the use of explicit models for the absolute excess risk are also given. Although some of the gains from joint analysis are apparent from the results here, it will be important to use these methods with a more suitable choice of cancer classes and for cancer incidence data in which the diagnoses are more accurate. (author)

New Epigenetic Therapeutic Intervention for Metastatic Breast Cancer

Science.gov (United States)

2017-04-01

Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China...Foundation 2016 NIH - New Innovator Award 2017 NIH - “ Cancer Drug Development & Therapeutics” (CDDT) 2017 NIH/NIAID - Special Emphasis Panel...Chemistry 2011 - Editor, Cancer Reports, Pancreatic Disorders & Therapy 2015 - Associate Editor, Molecular and Cellular Oncology (sections of

A Quality Improvement Initiative to Increase Colorectal Cancer (CRC) Screening: Collaboration between a Primary Care Clinic and Research Team.

Science.gov (United States)

Green, Beverly B; Fuller, Sharon; Anderson, Melissa L; Mahoney, Christine; Mendy, Peter; Powell, Susan L

2017-01-01

Multiple randomized controlled trials have demonstrated that mailed fecal testing programs are effective in increasing colorectal cancer screening participation. However, few healthcare organization in the US have Implemented such programs. Stakeholders from one clinic in an integrated healthcare system in Washington State initiated collaboration with researchers with expertise in CRC screening, aiming to increase screening rates at their clinic. Age-eligible individuals who were overdue for CRC screening and had previously completed a fecal test were randomized to receive mailed fecal immunochemical test kits (FIT) at the start of the project (Early) or 6 months later (Late). Outcomes included comparing FIT completion at 6 months by randomization group, and overall CRC screening rates at 12 months. We also assessed implementation facilitators and challenges. Overall 2,421 FIT tests were mailed at a cost of $10,739. At 6 months, FIT completion was significantly higher among the Early compared to the Late group (62% vs.47%, p CRC screening rate was 75.1% at baseline and 78.0% 12 months later. Key constructs associated with successful program implementation included strong stakeholder involvement, use of evidence-based strategies, simplicity, and low cost. Challenges included lack of a plan for maintaining the program. Collaboration between clinic stakeholders and researchers led to a successful project that rapidly increased CRC screening rates. However, institutional normalization of the program would be required to maintain it.

Collaboration 'Engineerability'

NARCIS (Netherlands)

Kolfschoten, Gwendolyn L.; de Vreede, Gert-Jan; Briggs, Robert O.; Sol, Henk G.

Collaboration Engineering is an approach to create sustained collaboration support by designing collaborative work practices for high-value recurring tasks, and transferring those designs to practitioners to execute for themselves without ongoing support from collaboration professionals. A key

76 FR 576 - National Cancer Institute; Notice of Closed Meetings

Science.gov (United States)

2011-01-05

...; Development of Molecular Diagnostics Assay to Detect Basal- like Breast Cancer. Date: February 15, 2011. Time... Institute Special Emphasis Panel; Collaborative Research in Integrative Cancer Biology and the Tumor... Detection and Diagnosis Research; 93.395, Cancer Treatment Research; 93.396, Cancer Biology Research; 93.397...

Rectal cancer : developments in multidisciplinary treatment, quality control and European collaboration

NARCIS (Netherlands)

Gijn, Willem van

2016-01-01

In the last two decades, treatment of rectal cancer has considerably improved in Europe. Although this applies to most solid malignancies, improvements in the diagnosis and treatment of rectal cancer surpass virtually all others. In the early 1990s, outcome after rectal cancer treatment was poor,

Collaborative Economy

DEFF Research Database (Denmark)

that are emerging from them, and how governments are responding to these new challenges. In doing so, the book provides both theoretical and practical insights into the future of tourism in a world that is, paradoxically, becoming both increasingly collaborative and individualized. Table of Contents Preface 1.The...... collaborative economy and tourism Dianne Dredge and Szilvia Gyimóthy PART I - Theoretical explorations 2.Definitions and mapping the landscape in the collaborative economy Szilvia Gyimóthy and Dianne Dredge 3.Business models of the collaborative economy Szilvia Gyimóthy 4.Responsibility and care...... in the collaborative economy Dianne Dredge 5.Networked cultures in the collaborative economy Szilvia Gyimóthy 6.Policy and regulatory perspectives in the collaborative economy Dianne Dredge PART II - Disruptions, innovations and transformations 7.Regulating innovation in the collaborative economy: An examination...

Collaborative care to improve the management of depressive disorders: a community guide systematic review and meta-analysis.

Science.gov (United States)

Thota, Anilkrishna B; Sipe, Theresa Ann; Byard, Guthrie J; Zometa, Carlos S; Hahn, Robert A; McKnight-Eily, Lela R; Chapman, Daniel P; Abraido-Lanza, Ana F; Pearson, Jane L; Anderson, Clinton W; Gelenberg, Alan J; Hennessy, Kevin D; Duffy, Farifteh F; Vernon-Smiley, Mary E; Nease, Donald E; Williams, Samantha P

2012-05-01

To improve the quality of depression management, collaborative care models have been developed from the Chronic Care Model over the past 20 years. Collaborative care is a multicomponent, healthcare system-level intervention that uses case managers to link primary care providers, patients, and mental health specialists. In addition to case management support, primary care providers receive consultation and decision support from mental health specialists (i.e., psychiatrists and psychologists). This collaboration is designed to (1) improve routine screening and diagnosis of depressive disorders; (2) increase provider use of evidence-based protocols for the proactive management of diagnosed depressive disorders; and (3) improve clinical and community support for active client/patient engagement in treatment goal-setting and self-management. A team of subject matter experts in mental health, representing various agencies and institutions, conceptualized and conducted a systematic review and meta-analysis on collaborative care for improving the management of depressive disorders. This team worked under the guidance of the Community Preventive Services Task Force, a nonfederal, independent, volunteer body of public health and prevention experts. Community Guide systematic review methods were used to identify, evaluate, and analyze available evidence. An earlier systematic review with 37 RCTs of collaborative care studies published through 2004 found evidence of effectiveness of these models in improving depression outcomes. An additional 32 studies of collaborative care models conducted between 2004 and 2009 were found for this current review and analyzed. The results from the meta-analyses suggest robust evidence of effectiveness of collaborative care in improving depression symptoms (standardized mean difference [SMD]=0.34); adherence to treatment (OR=2.22); response to treatment (OR=1.78); remission of symptoms (OR=1.74); recovery from symptoms (OR=1.75); quality of

Analysis of Research Collaboration between Universities and Private Companies in Spain Based on Joint Scientific Publications

Science.gov (United States)

Olmeda-Gómez, Carlos; Ovalle-Perandones, María Antonia; de Moya-Anegón, Félix

2015-01-01

Introduction: The article presents the results of a study on scientific collaboration between Spanish universities and private enterprise, measured in terms of the co-authorship of papers published in international journals. Method: Bibliometric analysis of papers published in journals listed in Scopus in 2003-2011. Indicators were calculated for…

Multisource Images Analysis Using Collaborative Clustering

Directory of Open Access Journals (Sweden)

Pierre Gançarski

2008-04-01

Full Text Available The development of very high-resolution (VHR satellite imagery has produced a huge amount of data. The multiplication of satellites which embed different types of sensors provides a lot of heterogeneous images. Consequently, the image analyst has often many different images available, representing the same area of the Earth surface. These images can be from different dates, produced by different sensors, or even at different resolutions. The lack of machine learning tools using all these representations in an overall process constraints to a sequential analysis of these various images. In order to use all the information available simultaneously, we propose a framework where different algorithms can use different views of the scene. Each one works on a different remotely sensed image and, thus, produces different and useful information. These algorithms work together in a collaborative way through an automatic and mutual refinement of their results, so that all the results have almost the same number of clusters, which are statistically similar. Finally, a unique result is produced, representing a consensus among the information obtained by each clustering method on its own image. The unified result and the complementarity of the single results (i.e., the agreement between the clustering methods as well as the disagreement lead to a better understanding of the scene. The experiments carried out on multispectral remote sensing images have shown that this method is efficient to extract relevant information and to improve the scene understanding.

Content analysis of cancer blog posts.

Science.gov (United States)

Kim, Sujin

2009-10-01

The efficacy of user-defined subject tagging and software-generated subject tagging for describing and organizing cancer blog contents was explored. The Technorati search engine was used to search the blogosphere for cancer blog postings generated during a two-month period. Postings were mined for relevant subject concepts, and blogger-defined tags and Text Analysis Portal for Research (TAPoR) software-defined tags were generated for each message. Descriptive data were collected, and the blogger-defined tags were compared with software-generated tags. Three standard vocabularies (Opinion Templates, Basic Resource, and Medical Subject Headings [MeSH] Resource) were used to assign subject terms to the blogs, with results compared for efficacy in information retrieval. Descriptive data showed that most of the studied cancer blogs (80%) contained fewer than 500 words each. The numbers of blogger-defined tags per posting (M = 4.49 per posting) were significantly smaller than the TAPoR keywords (M = 23.55 per posting). Both blogger-defined subject tags and software-generated subject tags were often overly broad or overly narrow in focus, producing less than effective search results for those seeking to extract information from cancer blogs. Additional exploration into methods for systematically organizing cancer blog postings is necessary if blogs are to become stable and efficacious information resources for cancer patients, friends, families, or providers.

Design and Implementation of the Retinoblastoma Collaborative Laboratory.

Science.gov (United States)

Qaiser, Seemi; Limo, Alice; Gichana, Josiah; Kimani, Kahaki; Githanga, Jessie; Waweru, Wairimu; Dimba, Elizabeth A O; Dimaras, Helen

2017-01-01

The purpose of this work was to describe the design and implementation of a digital pathology laboratory, the Retinoblastoma Collaborative Laboratory (RbCoLab) in Kenya. The RbCoLab is a central lab in Nairobi that receives retinoblastoma specimens from all over Kenya. Specimens were processed using evidence-based standard operating procedures. Images were produced by a digital scanner, and pathology reports were disseminated online. The lab implemented standard operating procedures aimed at improving the accuracy, completeness, and timeliness of pathology reports, enhancing the care of Kenyan retinoblastoma patients. Integration of digital technology to support pathology services supported knowledge transfer and skills transfer. A bidirectional educational network of local pathologists and other clinicians in the circle of care of the patients emerged and served to emphasize the clinical importance of cancer pathology at multiple levels of care. A 'Robin Hood' business model of health care service delivery was developed to support sustainability and scale-up of cancer pathology services. The application of evidence-based protocols, comprehensive training, and collaboration were essential to bring improvements to the care of retinoblastoma patients in Kenya. When embraced as an integrated component of retinoblastoma care, digital pathology offers the opportunity for frequent connection and consultation for development of expertise over time.

Global scientific collaboration in COPD research

Directory of Open Access Journals (Sweden)

Su YB

2017-01-01

Full Text Available Yanbing Su,1 Chao Long,2 Qi Yu,1 Juan Zhang,1 Daisy Wu,3 Zhiguang Duan1 1School of Management, Shanxi Medical University, Taiyuan, People’s Republic of China; 2School of Medicine, Stanford University, Palo Alto, CA, 3Department of Molecular and Cellular Physiology, University of Cincinnati College of Medicine, Cincinnati, OH, USA Purpose: This study aimed to investigate the multiple collaboration types, quantitatively evaluate the publication trends and review the performance of institutions or countries (regions across the world in COPD research.Materials and methods: Scientometric methods and social network analysis were used to survey the development of publication trends and understand current collaboration in the field of COPD research based on the Web of Science publications during the past 18 years.Results: The number of publications developed through different collaboration types has increased. Growth trends indicate that the percentage of papers authored through multinational and domestic multi-institutional collaboration (DMIC have also increased. However, the percentage of intra-institutional collaboration and single-authored (SA studies has reduced. The papers that produced the highest academic impact result from international collaboration. The second highest academic impact papers are produced by DMIC. Out of the three, the papers that are produced by SA studies have the least amount of impact upon the scientific community. A handful of internationally renowned institutions not only take the leading role in the development of the research within their country (region but also play a crucial role in international research collaboration in COPD. Both the amount of papers produced and the amount of cooperation that occurs in each study are disproportionally distributed between high-income countries (regions and low-income countries (regions. Growing attention has been generated toward research on COPD from more and more different

[Co-authorship and Spanish pediatric scientific collaboration networks (2006-2010)].

Science.gov (United States)

Aleixandre Benavent, R; González de Dios, J; Alonso Arroyo, A; Bolaños Pizarro, M; Castelló Cogollos, L; González Alcaide, G; Vidal Infer, A; Navarro Molina, C; Coronado Ferrer, S; González Muñoz, M; Málaga Guerrero, S

2013-06-01

Scientific collaboration is very important, as it is the basis of the scientific development of every discipline. The aim of this paper is to identify the indicators of scientific collaboration and co-authorship networks of Spanish researchers and institutions publishing in national and international paediatric, multidisciplinary or other knowledge areas journals during the period 2006-2010. The papers studied were obtained from the databases including, Science Citation Index Expanded, Scopus, Índice Médico Español and Índice Bibliográfico Español en Ciencias de la Salud, by means of applying different search profiles. All the papers signed by co-authors were quantified in order to identify the authorship and institutional collaboration networks. Furthermore the degree, betweenness index, and closeness index were obtained as a measurement of the structural analysis. Co-authorships were represented graphically by the network analysis and display software Pajek. A total of 7971 articles were published during the period 2006-2010, with 90.55% completed in collaboration. Using a threshold of 10 or more co-authorships, 77 research groups in Pediatrics were identified. Most papers were published in collaboration between institutions of the same Autonomous Community (42.28%), and 14.84% with international collaboration. The analysis of institutional participation enabled a large nucleus or institutional collaboration network to be identified, with 52 linked institutions. International collaboration was led by the USA and European countries, such as United Kingdom, Germany and Italy. Authors, institutions and the most active working groups in Spanish pediatrics were identified, which is very interesting information to establish contacts to increase the existing networks, to prevent redundancies, and to take advantage of the new emerging groups. It is necessary to promote the collaboration of Spanish researchers, especially with their international colleagues, since a

Total RNA Sequencing Analysis of DCIS Progressing to Invasive Breast Cancer

Science.gov (United States)

2017-09-01

AWARD NUMBER: W81XWH-14-1-0080 TITLE: Total RNA Sequencing Analysis of DCIS Progressing to Invasive Breast Cancer . PRINCIPAL INVESTIGATOR...TITLE AND SUBTITLE Total RNA Sequencing Analysis of DCIS Progressing to Invasive Breast Cancer . 5a. CONTRACT NUMBER 5b. GRANT NUMBER GRANT11489...institutional, NIH-funded study of genetic and epigenetic alterations of pre-invasive DCIS that did or did not progress to invasive breast cancer , with an

geneCBR: a translational tool for multiple-microarray analysis and integrative information retrieval for aiding diagnosis in cancer research

Directory of Open Access Journals (Sweden)

Fdez-Riverola Florentino

2009-06-01

Full Text Available Abstract Background Bioinformatics and medical informatics are two research fields that serve the needs of different but related communities. Both domains share the common goal of providing new algorithms, methods and technological solutions to biomedical research, and contributing to the treatment and cure of diseases. Although different microarray techniques have been successfully used to investigate useful information for cancer diagnosis at the gene expression level, the true integration of existing methods into day-to-day clinical practice is still a long way off. Within this context, case-based reasoning emerges as a suitable paradigm specially intended for the development of biomedical informatics applications and decision support systems, given the support and collaboration involved in such a translational development. With the goals of removing barriers against multi-disciplinary collaboration and facilitating the dissemination and transfer of knowledge to real practice, case-based reasoning systems have the potential to be applied to translational research mainly because their computational reasoning paradigm is similar to the way clinicians gather, analyze and process information in their own practice of clinical medicine. Results In addressing the issue of bridging the existing gap between biomedical researchers and clinicians who work in the domain of cancer diagnosis, prognosis and treatment, we have developed and made accessible a common interactive framework. Our geneCBR system implements a freely available software tool that allows the use of combined techniques that can be applied to gene selection, clustering, knowledge extraction and prediction for aiding diagnosis in cancer research. For biomedical researches, geneCBR expert mode offers a core workbench for designing and testing new techniques and experiments. For pathologists or oncologists, geneCBR diagnostic mode implements an effective and reliable system that can

Qualitative Improvement Methods Through Analysis of Inquiry Contents for Cancer Registration

Science.gov (United States)

Boo, Yoo-Kyung; Lim, Hyun-Sook; Kim, Jung-Eun; Kim, Kyoung-Beom; Won, Young-Joo

2017-06-25

Background: In Korea, the national cancer database was constructed after the initiation of the national cancer registration project in 1980, and the annual national cancer registration report has been published every year since 2005. Consequently, data management must begin even at the stage of data collection in order to ensure quality. Objectives: To determine the suitability of cancer registries’ inquiry tools through the inquiry analysis of the Korea Central Cancer Registry (KCCR), and identify the needs to improve the quality of cancer registration. Methods: Results of 721 inquiries to the KCCR from 2000 to 2014 were analyzed by inquiry year, question type, and medical institution characteristics. Using Stata version 14.1, descriptive analysis was performed to identify general participant characteristics, and chi-square analysis was applied to investigate significant differences in distribution characteristics by factors affecting the quality of cancer registration data. Results: The number of inquiries increased in 2005–2009. During this period, there were various changes, including the addition of cancer registration items such as brain tumors and guideline updates. Of the inquirers, 65.3% worked at hospitals in metropolitan cities and 60.89% of hospitals had 601–1000 beds. Tertiary hospitals had the highest number of inquiries (64.91%), and the highest number of questions by type were 353 (48.96%) for histological codes, 92 (12.76%) for primary sites, and 76 (10.54%) for reportable. Conclusions: A cancer registration inquiry system is an effective method when not confident about codes during cancer registration, or when confronting cancer cases in which previous clinical knowledge or information on the cancer registration guidelines are insufficient. Creative Commons Attribution License

Antiproton radiation found effective in cancer research

CERN Multimedia

2003-01-01

"An international collaboration of scientists has completed the first ever antiproton beam experiments designed to reveal the biological effectiveness of antiproton radiation in terminating cells used for cancer research...PBar Labs assembled the collaboration at CERN (European Organization for Nuclear Research in Geneva) to perform the measurements" (1 page).

Monitoring Student Activity in Collaborative Software Development

DEFF Research Database (Denmark)

Dietsch, Daniel; Podelski, Andreas; Nam, Jaechang

2013-01-01

year of studies formed 20 groups and worked collaboratively to develop video games. Throughout the lab, students have to use a variety of tools for managing and developing their projects, such as software version control, static analysis tools, wikis, mailing lists, etc. The students are also supported......This paper presents data analysis from a course on Software Engineering in an effort to identify metrics and techniques that would allow instructor to act proactively and identify patterns of low engagement and inefficient peer collaboration. Over the last two terms, 106 students in their second...... by weekly meetings with teaching assistants and instructors regarding group progress, code quality, and management issues. Through these meetings and their interactions with the software tools, students leave a detailed trace of data related to their individual engagement and their collaboration behavior...

O8.10A MODEL FOR RESEARCH INITIATIVES FOR RARE CANCERS: THE COLLABORATIVE EPENDYMOMA RESEARCH NETWORK (CERN)

Science.gov (United States)

Armstrong, T.S.; Aldape, K.; Gajjar, A.; Haynes, C.; Hirakawa, D.; Gilbertson, R.; Gilbert, M.R.

2014-01-01

investigators from Project 2 are evaluating potential predictive markers from tumor tissue from the same clinical trial. Results from genomic and molecular discoveries generated by Project 4 were evaluated using the clinical material from the Tumor Registry (Project 2). Agents identified from the high throughput screening in Project 3 are being used to create novel clinical trials (Project 1). As a complimentary effort, CERN's community outreach efforts provide a major gateway to patients, families, caregivers and healthcare providers, contributing to greater awareness of ependymoma, and supporting clinical trial accrual in Project 1. In summary, CERN has successfully created a collaborative, multi-national integrated effort combining pediatric- and adult-focused investigators spanning from basic science to patient outcomes measures. This research paradigm may be an effective approach for other rare cancers.

Cancer Patients' Informational Needs: Qualitative Content Analysis.

Science.gov (United States)

Heidari, Haydeh; Mardani-Hamooleh, Marjan

2016-12-01

Understanding the informational needs of cancer patients is a requirement to plan any educative care program for them. The aim of this study was to identify Iranian cancer patients' perceptions of informational needs. The study took a qualitative approach. Semi-structured interviews were held with 25 cancer patients in two teaching hospitals in Iran. Transcripts of the interviews underwent conventional content analysis, and categories were extracted. The results came under two main categories: disease-related informational needs and information needs related to daily life. Disease-related informational needs had two subcategories: obtaining information about the nature of disease and obtaining information about disease prognosis. Information needs related to daily life also had two subcategories: obtaining information about healthy lifestyle and obtaining information about regular activities of daily life. The findings provide deep understanding of cancer patients' informational needs in Iran.

Integrated Genomic Analysis of the Ubiquitin Pathway across Cancer Types

Directory of Open Access Journals (Sweden)

Zhongqi Ge

2018-04-01

Full Text Available Summary: Protein ubiquitination is a dynamic and reversible process of adding single ubiquitin molecules or various ubiquitin chains to target proteins. Here, using multidimensional omic data of 9,125 tumor samples across 33 cancer types from The Cancer Genome Atlas, we perform comprehensive molecular characterization of 929 ubiquitin-related genes and 95 deubiquitinase genes. Among them, we systematically identify top somatic driver candidates, including mutated FBXW7 with cancer-type-specific patterns and amplified MDM2 showing a mutually exclusive pattern with BRAF mutations. Ubiquitin pathway genes tend to be upregulated in cancer mediated by diverse mechanisms. By integrating pan-cancer multiomic data, we identify a group of tumor samples that exhibit worse prognosis. These samples are consistently associated with the upregulation of cell-cycle and DNA repair pathways, characterized by mutated TP53, MYC/TERT amplification, and APC/PTEN deletion. Our analysis highlights the importance of the ubiquitin pathway in cancer development and lays a foundation for developing relevant therapeutic strategies. : Ge et al. analyze a cohort of 9,125 TCGA samples across 33 cancer types to provide a comprehensive characterization of the ubiquitin pathway. They detect somatic driver candidates in the ubiquitin pathway and identify a cluster of patients with poor survival, highlighting the importance of this pathway in cancer development. Keywords: ubiquitin pathway, pan-cancer analysis, The Cancer Genome Atlas, tumor subtype, cancer prognosis, therapeutic targets, biomarker, FBXW7

Defining the critical hurdles in cancer immunotherapy

DEFF Research Database (Denmark)

Fox, Bernard A; Schendel, Dolores J; Butterfield, Lisa H

2011-01-01

of cancer immunotherapy. With consensus on these hurdles, international working groups could be developed to make recommendations vetted by the participating organizations. These recommendations could then be considered by regulatory bodies, governmental and private funding agencies, pharmaceutical...... immunotherapy organizations representing Europe, Japan, China and North America to discuss collaborations to improve development and delivery of cancer immunotherapy. One of the concepts raised by SITC and defined as critical by all parties was the need to identify hurdles that impede effective translation...... companies and academic institutions to facilitate changes necessary to accelerate clinical translation of novel immune-based cancer therapies. The critical hurdles identified by representatives of the collaborating organizations, now organized as the World Immunotherapy Council, are presented and discussed...

Cardiovascular disease risk among breast cancer survivors: an evolutionary concept analysis

Directory of Open Access Journals (Sweden)

Vo JB

2017-02-01

Full Text Available Jacqueline B Vo,1 Timiya S Nolan,1 David E Vance,1 Patricia A Patrician,2 Karen Meneses1 1Office of Research and Scholarship, 2Department of Family, Community Health, and Systems, University of Alabama at Birmingham School of Nursing, Birmingham, AL, USA Background: More than 3.5 million breast cancer survivors are living in the US, and the overall five-year survival rate is approaching 90%. With increased survival and cancer treatment-related cardiotoxicities, there has been a rise in cardiovascular diseases among breast cancer survivors. Yet, cardiovascular disease risk among breast cancer survivors has not been well conceptualized. The purpose of this article was to analyze and define the concept of cardiovascular disease risk among breast cancer survivors. Methods: The databases CINAHL, EMBASE, and PubMed were used to identify articles that explored cardiovascular disease risk among breast cancer survivors. The search yielded 357 articles, which were reviewed for eligibility. Thirty articles were selected based on the inclusion/exclusion criteria. The concept of cardiovascular disease risk among breast cancer survivors was analyzed using Rodgers’ evolutionary concept analysis method. Results: The analysis suggests that cardiovascular disease risk among breast cancer survivors consists of several attributes: cancer treatment (chemotherapy, targeted therapies, radiation therapy, and endocrine therapy, modifiable risk factors (obesity, physical inactivity, poor diet, and smoking, and nonmodifiable risk factors (age, family history, and race. The antecedent identified includes breast cancer diagnosis and the consequence identified includes the development of cardiovascular disease. Conclusion: Findings suggest the need for increased education and understanding of ­cardiovascular disease risk among health care providers and patients. Survivorship care plans can incorporate cardiovascular disease risk monitoring and screening. Future research

Mind the gap in clinical trials: A participatory action analysis with citizen collaborators.

Science.gov (United States)

Price, Amy; Liew, Su May; Kirkpatrick, Jo; Price, Jazmin; Lopreto, Taylor; Nelken, Yasmin

2017-02-01

What are the strengths, gaps, expectations, and barriers to research engagement in clinical trials as communicated through social media? Clinical trials test treatments to provide reliable information for safety and effectiveness. Trials are building blocks in which what is learned in earlier research can be used to improve treatments, compare alternatives, and improve quality of life. For 20 years, the percentages of clinical trials volunteers have decreased whereas the costs of running clinical trials have multiplied. Participants enroll in trials to access latest treatments, to help others, and to advance science, but there is growing unrest. The priorities of those running the trials differ from those of the participants, and the roles for public research involvement lack clarity. Changes to bridge these gaps in the research culture are proposed through the use of participatory action research (PAR) in which stakeholders collaborate to improve research methodology, galvanize citizen participation, multiply health knowledge, problem-solve barriers to access, and explore the value of research volunteers as collaborators. PAR enabled the inclusion of citizens as full collaborators. Social media data were gathered for 120 days until saturation was reached. De-identified data were organized into a Strengths Weaknesses, Opportunities and Threats framework and coded into themes for analysis. After the analysis, the authors prioritized potential solutions for improving research engagement. Strengths and opportunities remained constant through trial phases, disease burdens, and interventions. Threats included alienation, litigation, disparity, and shaming. Poor management and barriers to inclusion were identified as weaknesses. Opportunities included improving resource management and information quality. Barriers were minimized when relationships between staff and participants were inclusive, respectful, tolerant, and open to change. Participants' communications

Technical Service Agreement (TSA) | Frederick National Laboratory for Cancer Research

Science.gov (United States)

Frederick National Laboratory for Cancer Research (FNLCR) scientists provide services and solutions to collaborators through the Technical Services Program, whose portfolio includes more than 200 collaborations with more than 80 partners. The Frederi

Causes of death in long-term lung cancer survivors: a SEER database analysis.

Science.gov (United States)

Abdel-Rahman, Omar

2017-07-01

Long-term (>5 years) lung cancer survivors represent a small but distinct subgroup of lung cancer patients and information about the causes of death of this subgroup is scarce. The Surveillance, Epidemiology and End Results (SEER) database (1988-2008) was utilized to determine the causes of death of long-term survivors of lung cancer. Survival analysis was conducted using Kaplan-Meier analysis and multivariate analysis was conducted using a Cox proportional hazard model. Clinicopathological characteristics and survival outcomes were assessed for the whole cohort. A total of 78,701 lung cancer patients with >5 years survival were identified. This cohort included 54,488 patients surviving 5-10 years and 24,213 patients surviving >10 years. Among patients surviving 5-10 years, 21.8% were dead because of primary lung cancer, 10.2% were dead because of other cancers, 6.8% were dead because of cardiac disease and 5.3% were dead because of non-malignant pulmonary disease. Among patients surviving >10 years, 12% were dead because of primary lung cancer, 6% were dead because of other cancers, 6.9% were dead because of cardiac disease and 5.6% were dead because of non-malignant pulmonary disease. On multivariate analysis, factors associated with longer cardiac-disease-specific survival in multivariate analysis include younger age at diagnosis (p death from primary lung cancer is still significant among other causes of death even 20 years after diagnosis of lung cancer. Moreover, cardiac as well as non-malignant pulmonary causes contribute a considerable proportion of deaths in long-term lung cancer survivors.

Open source platform for collaborative construction of wearable sensor datasets for human motion analysis and an application for gait analysis.

Science.gov (United States)

Llamas, César; González, Manuel A; Hernández, Carmen; Vegas, Jesús

2016-10-01

Nearly every practical improvement in modeling human motion is well founded in a properly designed collection of data or datasets. These datasets must be made publicly available for the community could validate and accept them. It is reasonable to concede that a collective, guided enterprise could serve to devise solid and substantial datasets, as a result of a collaborative effort, in the same sense as the open software community does. In this way datasets could be complemented, extended and expanded in size with, for example, more individuals, samples and human actions. For this to be possible some commitments must be made by the collaborators, being one of them sharing the same data acquisition platform. In this paper, we offer an affordable open source hardware and software platform based on inertial wearable sensors in a way that several groups could cooperate in the construction of datasets through common software suitable for collaboration. Some experimental results about the throughput of the overall system are reported showing the feasibility of acquiring data from up to 6 sensors with a sampling frequency no less than 118Hz. Also, a proof-of-concept dataset is provided comprising sampled data from 12 subjects suitable for gait analysis. Copyright © 2016 Elsevier Inc. All rights reserved.

Bibliometric Analysis of Female Authorship Trends and Collaboration Dynamics Over JBMR's 30-Year History.

Science.gov (United States)

Wininger, Austin E; Fischer, James P; Likine, Elive F; Gudeman, Andrew S; Brinker, Alexander R; Ryu, Jonathan; Maupin, Kevin A; Lunsford, Shatoria; Whipple, Elizabeth C; Loder, Randall T; Kacena, Melissa A

2017-12-01

In academia, authorship is considered a currency and is important for career advancement. As the Journal of Bone and Mineral Research (JBMR) is the highest-ranked journal in the field of bone, muscle, and mineral metabolism and is the official publication of the American Society for Bone and Mineral Research, we sought to examine authorship changes over JBMR's 30-year history. Two bibliometric methods were used to collect the data. The "decade method" included all published manuscripts throughout 1 year in each decade over the past 30 years starting with the inaugural year, yielding 746 manuscripts for analysis. The "random method" examined 10% of published manuscripts from each of the 30 years, yielding 652 manuscripts for analysis. Using both methods, the average number of authors per manuscript, numerical location of the corresponding author, number of collaborating institutions, number of collaborating countries, number of printed manuscript pages, and the number of times each manuscript was cited all significantly increased between 1986 and 2015 (p authorship trends over the past 30 years and demonstrate those countries having the most changes and where challenges still exist. © 2017 American Society for Bone and Mineral Research. © 2017 American Society for Bone and Mineral Research.

Human Centered Hardware Modeling and Collaboration

Science.gov (United States)

Stambolian Damon; Lawrence, Brad; Stelges, Katrine; Henderson, Gena

2013-01-01

In order to collaborate engineering designs among NASA Centers and customers, to in clude hardware and human activities from multiple remote locations, live human-centered modeling and collaboration across several sites has been successfully facilitated by Kennedy Space Center. The focus of this paper includes innovative a pproaches to engineering design analyses and training, along with research being conducted to apply new technologies for tracking, immersing, and evaluating humans as well as rocket, vehic le, component, or faci lity hardware utilizing high resolution cameras, motion tracking, ergonomic analysis, biomedical monitoring, wor k instruction integration, head-mounted displays, and other innovative human-system integration modeling, simulation, and collaboration applications.

Bibliometric Analysis of International Collaboration in Wind and Solar Energy

Directory of Open Access Journals (Sweden)

Ichiro Sakata

2013-09-01

Full Text Available Modern technology is increasingly complex and demands an ever-widening range of knowledge and skills. No single country will possess all the knowledge and skills required for addressing global issues such as climate change. Technology collaboration between leading countries is important to promptly and efficiently address the problem. Previous studies have shown that a high level of collaboration is correlated with high paper productivity. This paper first aims to use objective data and create maps that enable us to see both the distribution of worldwide research competency and the relationship of international collaboration in clean energy research. In the international research network of wind power and solar cell, 4,189 institutions located in 121 countries and 6,600 institutions located in 125 countries are included respectively. This paper discusses various factors that would have an impact on research capability and support strong international relationships. With respect to research capability, governmental policies, stability of governmental commitment, natural conditions and historical and institutional differences have a significant impact on it. For research collaborations, factors such as geographical proximity, international science and technology policy, and developmental stage of technology have been brought to attention. This study demonstrates that bibliometrics is a methodology that is capable of providing a knowledge base that is useful in the development of the international science and technology policy and technological management strategy.

Risk-benefit analysis and cost-effectiveness analysis of lung cancer screening by spiral CT

International Nuclear Information System (INIS)

Iinuma, Takeshi

1999-01-01

Mass screening of lung cancer has been widely performed using indirect chest X-ray method in Japan. However reduction of the mortality for lung cancer is questioned. We have proposed that recently developed spiral CT should be adopted for the screening of lung cancer, since CT has an excellent detectability for small nodule. Lung Cancer Screening CT (LSCT) has been developed by author's group using spiral CT with low dose and light weight in order to make a mobile unit. In this paper risk-benefit analysis and cost-effectiveness analysis are described for the LSCT screening of lung cancer. As a risk, radiation carcinogenesis due to exposure from LSCT are compared with gain of life-expectancy by screening and men of 40 years or more and women of 45 years or more are justified. The cost per person-year is estimated for LSCT screening which is better than that of present method, although total cost is higher. The LSCT screening could be recommended if total cost is affordable. (author)

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Directory of Open Access Journals (Sweden)

Hua-Sheng Chiu

2018-04-01

Full Text Available Summary: Long noncoding RNAs (lncRNAs are commonly dysregulated in tumors, but only a handful are known to play pathophysiological roles in cancer. We inferred lncRNAs that dysregulate cancer pathways, oncogenes, and tumor suppressors (cancer genes by modeling their effects on the activity of transcription factors, RNA-binding proteins, and microRNAs in 5,185 TCGA tumors and 1,019 ENCODE assays. Our predictions included hundreds of candidate onco- and tumor-suppressor lncRNAs (cancer lncRNAs whose somatic alterations account for the dysregulation of dozens of cancer genes and pathways in each of 14 tumor contexts. To demonstrate proof of concept, we showed that perturbations targeting OIP5-AS1 (an inferred tumor suppressor and TUG1 and WT1-AS (inferred onco-lncRNAs dysregulated cancer genes and altered proliferation of breast and gynecologic cancer cells. Our analysis indicates that, although most lncRNAs are dysregulated in a tumor-specific manner, some, including OIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergistically dysregulate cancer pathways in multiple tumor contexts. : Chiu et al. present a pan-cancer analysis of lncRNA regulatory interactions. They suggest that the dysregulation of hundreds of lncRNAs target and alter the expression of cancer genes and pathways in each tumor context. This implies that hundreds of lncRNAs can alter tumor phenotypes in each tumor context. Keywords: lncRNA, regulation, modulation, cancer gene, pan-cancer, noncoding RNA, microRNA, RNA-binding proteins, interactome

A Web-Based Development Environment for Collaborative Data Analysis

International Nuclear Information System (INIS)

Erdmann, M; Fischer, R; Glaser, C; Klingebiel, D; Müller, G; Rieger, M; Urban, M; Winchen, T; Komm, M; Steggemann, J

2014-01-01

Visual Physics Analysis (VISPA) is a web-based development environment addressing high energy and astroparticle physics. It covers the entire analysis spectrum from the design and validation phase to the execution of analyses and the visualization of results. VISPA provides a graphical steering of the analysis flow, which consists of self-written, re-usable Python and C++ modules for more demanding tasks. All common operating systems are supported since a standard internet browser is the only software requirement for users. Even access via mobile and touch-compatible devices is possible. In this contribution, we present the most recent developments of our web application concerning technical, state-of-the-art approaches as well as practical experiences. One of the key features is the use of workspaces, i.e. user-configurable connections to remote machines supplying resources and local file access. Thereby, workspaces enable the management of data, computing resources (e.g. remote clusters or computing grids), and additional software either centralized or individually. We further report on the results of an application with more than 100 third-year students using VISPA for their regular particle physics exercises during the winter term 2012/13. Besides the ambition to support and simplify the development cycle of physics analyses, new use cases such as fast, location-independent status queries, the validation of results, and the ability to share analyses within worldwide collaborations with a single click become conceivable

A Web-Based Development Environment for Collaborative Data Analysis

Science.gov (United States)

Erdmann, M.; Fischer, R.; Glaser, C.; Klingebiel, D.; Komm, M.; Müller, G.; Rieger, M.; Steggemann, J.; Urban, M.; Winchen, T.

2014-06-01

Visual Physics Analysis (VISPA) is a web-based development environment addressing high energy and astroparticle physics. It covers the entire analysis spectrum from the design and validation phase to the execution of analyses and the visualization of results. VISPA provides a graphical steering of the analysis flow, which consists of self-written, re-usable Python and C++ modules for more demanding tasks. All common operating systems are supported since a standard internet browser is the only software requirement for users. Even access via mobile and touch-compatible devices is possible. In this contribution, we present the most recent developments of our web application concerning technical, state-of-the-art approaches as well as practical experiences. One of the key features is the use of workspaces, i.e. user-configurable connections to remote machines supplying resources and local file access. Thereby, workspaces enable the management of data, computing resources (e.g. remote clusters or computing grids), and additional software either centralized or individually. We further report on the results of an application with more than 100 third-year students using VISPA for their regular particle physics exercises during the winter term 2012/13. Besides the ambition to support and simplify the development cycle of physics analyses, new use cases such as fast, location-independent status queries, the validation of results, and the ability to share analyses within worldwide collaborations with a single click become conceivable.

Collaborative Economy

DEFF Research Database (Denmark)

collaborative economy and tourism Dianne Dredge and Szilvia Gyimóthy PART I - Theoretical explorations 2.Definitions and mapping the landscape in the collaborative economy Szilvia Gyimóthy and Dianne Dredge 3.Business models of the collaborative economy Szilvia Gyimóthy 4.Responsibility and care...... and similar phenomena are among these collective innovations in tourism that are shaking the very bedrock of an industrial system that has been traditionally sustained along commercial value chains. To date there has been very little investigation of these trends, which have been inspired by, amongst other...... in the collaborative economy Dianne Dredge 5.Networked cultures in the collaborative economy Szilvia Gyimóthy 6.Policy and regulatory perspectives in the collaborative economy Dianne Dredge PART II - Disruptions, innovations and transformations 7.Regulating innovation in the collaborative economy: An examination...

Integrative Analysis of Prognosis Data on Multiple Cancer Subtypes

Science.gov (United States)

Liu, Jin; Huang, Jian; Zhang, Yawei; Lan, Qing; Rothman, Nathaniel; Zheng, Tongzhang; Ma, Shuangge

2014-01-01

Summary In cancer research, profiling studies have been extensively conducted, searching for genes/SNPs associated with prognosis. Cancer is diverse. Examining the similarity and difference in the genetic basis of multiple subtypes of the same cancer can lead to a better understanding of their connections and distinctions. Classic meta-analysis methods analyze each subtype separately and then compare analysis results across subtypes. Integrative analysis methods, in contrast, analyze the raw data on multiple subtypes simultaneously and can outperform meta-analysis methods. In this study, prognosis data on multiple subtypes of the same cancer are analyzed. An AFT (accelerated failure time) model is adopted to describe survival. The genetic basis of multiple subtypes is described using the heterogeneity model, which allows a gene/SNP to be associated with prognosis of some subtypes but not others. A compound penalization method is developed to identify genes that contain important SNPs associated with prognosis. The proposed method has an intuitive formulation and is realized using an iterative algorithm. Asymptotic properties are rigorously established. Simulation shows that the proposed method has satisfactory performance and outperforms a penalization-based meta-analysis method and a regularized thresholding method. An NHL (non-Hodgkin lymphoma) prognosis study with SNP measurements is analyzed. Genes associated with the three major subtypes, namely DLBCL, FL, and CLL/SLL, are identified. The proposed method identifies genes that are different from alternatives and have important implications and satisfactory prediction performance. PMID:24766212

The Challenge of Childhood Cancer in Developing Countries

African Journals Online (AJOL)

user

2016-05-12

May 12, 2016 ... Abraham Haileamlak, MD, Professor of Pediatrics and Child Health ... children under the age of 15 years due to cancer. Childhood cancer is the second leading .... collaboration on childhood leukaemia. Int J. Hematol 2003 ...

International collaboration in medical radiation science.

Science.gov (United States)

Denham, Gary; Allen, Carla; Platt, Jane

2016-06-01

International collaboration is recognised for enhancing the ability to approach complex problems from a variety of perspectives, increasing development of a wider range of research skills and techniques and improving publication and acceptance rates. The aim of this paper is to describe the current status of international collaboration in medical radiation science and compare this to other allied health occupations. This study utilised a content analysis approach where co-authorship of a journal article was used as a proxy for research collaboration and the papers were assigned to countries based on the corporate address given in the by-line of the publication. A convenience sample method was employed and articles published in the professional medical radiation science journals in the countries represented within our research team - Australia, the United Kingdom (UK) and the United States of America (USA) were sampled. Physiotherapy, speech pathology, occupational therapy and nursing were chosen for comparison. Rates of international collaboration in medical radiation science journals from Australia, the UK and the USA have steadily increased over the 3-year period sampled. Medical radiation science demonstrated lower average rates of international collaboration than the other allied health occupations sampled. The average rate of international collaboration in nursing was far below that of the allied health occupations sampled. Overall, the UK had the highest average rate of international collaboration, followed by Australia and the USA, the lowest. Overall, medical radiation science is lagging in international collaboration in comparison to other allied health fields.

Handbook of Collaborative Management Research

CERN Document Server

Shani, A B Rami B; Pasmore, William A A; Stymne, Dr Bengt; Adler, Niclas

2007-01-01

This handbook provides the latest thinking, methodologies and cases in the rapidly growing area of collaborative management research. What makes collaborative management research different is its emphasis on creating a close partnership between scholars and practitioners in the search for knowledge concerning organizations and complex systems. In the ideal situation, scholars and their managerial partners would work together to define the research focus, develop the methods to be used for data collection, participate equally in the analysis of data, and work together in the application and dis

Computerized Analysis and Detection of Missed Cancer in Screening Mammogram

National Research Council Canada - National Science Library

Li, Lihua

2005-01-01

This project is to explore an innovative CAD strategy for improving early detection of breast cancer in screening mammograms by focusing on computerized analysis and detection of cancers missed by radiologists...

Computerized Analysis and Detection of Missed Cancer in Screening Mammogram

National Research Council Canada - National Science Library

Li, Lihua

2004-01-01

This project is to explore an innovative CAD strategy for improving early detection of breast cancer in screening mammograms by focusing on computerized analysis and detection of cancers missed by radiologists...

Trace elements determinations in cancerous and non-cancerous human tissues using instrumental neutron activation analysis

International Nuclear Information System (INIS)

Choi, Insup.

1989-01-01

Recent improvements in analyzing techniques when coupled to the growing knowledge of trace element biochemistry provide a powerful tool to investigate the relationship between trace elements and cancer. It is hoped that selective delivery or restriction of specific minerals may aid in cancer prevention or treatment. Tissues were collected at the time of surgery of various cancer patients including colon cancer and breast cancer. Three kinds of tissues were taken from a patient; cancerous, noncancerous, and transitional tissue obtained from a region located between the cancer and healthy tissues. A total of 57 tissues were obtained from 19 cancer patients. Seven of them were colon cancer patients, and 5 of them were breast cancer patients. Nine elements were determined using instrumental activation analysis. Cancerous colon tissue had significantly higher concentrations of selenium and iron than healthy tissues. Cancerous breast tissue had significantly higher concentrations of selenium, iron, manganese, and rubidium than healthy tissues. Iron can be enriched in cancer tissue because cancer tissue retains more blood vessels. Selenium is enriched in cancer tissue, possibly in an effort of the body to inhibit the growth of tumors. The manganese enrichment can be explained in the same manner as selenium considering its suspected anticarcinogenicity. It is not certain why rubidium was enriched in cancer tissue. It could be that this is the result of alteration of cell membrane permeability, change in extracellular matrix, or increased metabolism in cancer tissue

Meta-analysis of Genome Wide Association Studies Identifies Genetic Markers of Late Toxicity Following Radiotherapy for Prostate Cancer

Directory of Open Access Journals (Sweden)

Sarah L. Kerns

2016-08-01

Full Text Available Nearly 50% of cancer patients undergo radiotherapy. Late radiotherapy toxicity affects quality-of-life in long-term cancer survivors and risk of side-effects in a minority limits doses prescribed to the majority of patients. Development of a test predicting risk of toxicity could benefit many cancer patients. We aimed to meta-analyze individual level data from four genome-wide association studies from prostate cancer radiotherapy cohorts including 1564 men to identify genetic markers of toxicity. Prospectively assessed two-year toxicity endpoints (urinary frequency, decreased urine stream, rectal bleeding, overall toxicity and single nucleotide polymorphism (SNP associations were tested using multivariable regression, adjusting for clinical and patient-related risk factors. A fixed-effects meta-analysis identified two SNPs: rs17599026 on 5q31.2 with urinary frequency (odds ratio [OR] 3.12, 95% confidence interval [CI] 2.08–4.69, p-value 4.16 × 10−8 and rs7720298 on 5p15.2 with decreased urine stream (OR 2.71, 95% CI 1.90–3.86, p-value = 3.21 × 10−8. These SNPs lie within genes that are expressed in tissues adversely affected by pelvic radiotherapy including bladder, kidney, rectum and small intestine. The results show that heterogeneous radiotherapy cohorts can be combined to identify new moderate-penetrance genetic variants associated with radiotherapy toxicity. The work provides a basis for larger collaborative efforts to identify enough variants for a future test involving polygenic risk profiling.

Collaborative information seeking

DEFF Research Database (Denmark)

Hertzum, Morten

2008-01-01

Since common ground is pivotal to collaboration, this paper proposes to define collaborative information seeking as the combined activity of information seeking and collaborative grounding. While information-seeking activities are necessary for collaborating actors to acquire new information......, the activities involved in information seeking are often performed by varying subgroups of actors. Consequently, collaborative grounding is necessary to share information among collaborating actors and, thereby, establish and maintain the common ground necessary for their collaborative work. By focusing...... on the collaborative level, collaborative information seeking aims to avoid both individual reductionism and group reductionism, while at the same time recognizing that only some information and understanding need be shared....

Application of CT texture analysis in predicting histopathological characteristics of gastric cancers

International Nuclear Information System (INIS)

Liu, Shunli; Liu, Song; Ji, Changfeng; Zheng, Huanhuan; Pan, Xia; Zhang, Yujuan; He, Jian; Zhou, Zhengyang; Guan, Wenxian; Chen, Ling; Guan, Yue; Li, Weifeng; Ge, Yun

2017-01-01

To explore the application of computed tomography (CT) texture analysis in predicting histopathological features of gastric cancers. Preoperative contrast-enhanced CT images and postoperative histopathological features of 107 patients (82 men, 25 women) with gastric cancers were retrospectively reviewed. CT texture analysis generated: (1) mean attenuation, (2) standard deviation, (3) max frequency, (4) mode, (5) minimum attenuation, (6) maximum attenuation, (7) the fifth, 10th, 25th, 50th, 75th and 90th percentiles, and (8) entropy. Correlations between CT texture parameters and histopathological features were analysed. Mean attenuation, maximum attenuation, all percentiles and mode derived from portal venous CT images correlated significantly with differentiation degree and Lauren classification of gastric cancers (r, -0.231 ∝-0.324, 0.228 ∝ 0.321, respectively). Standard deviation and entropy derived from arterial CT images also correlated significantly with Lauren classification of gastric cancers (r = -0.265, -0.222, respectively). In arterial phase analysis, standard deviation and entropy were significantly lower in gastric cancers with than those without vascular invasion; however, minimum attenuation was significantly higher in gastric cancers with than those without vascular invasion. CT texture analysis held great potential in predicting differentiation degree, Lauren classification and vascular invasion status of gastric cancers. (orig.)

Application of CT texture analysis in predicting histopathological characteristics of gastric cancers

Energy Technology Data Exchange (ETDEWEB)

Liu, Shunli; Liu, Song; Ji, Changfeng; Zheng, Huanhuan; Pan, Xia; Zhang, Yujuan; He, Jian; Zhou, Zhengyang [The Affiliated Hospital of Nanjing University Medical School, Department of Radiology, Nanjing Drum Tower Hospital, Nanjing, Jiangsu Province (China); Guan, Wenxian [The Affiliated Hospital of Nanjing University Medical School, Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, Nanjing (China); Chen, Ling [The Affiliated Hospital of Nanjing University Medical School, Department of Pathology, Nanjing Drum Tower Hospital, Nanjing, Jiangsu Province (China); Guan, Yue; Li, Weifeng; Ge, Yun [Nanjing University, School of Electronic Science and Engineering, Nanjing (China)

2017-12-15

To explore the application of computed tomography (CT) texture analysis in predicting histopathological features of gastric cancers. Preoperative contrast-enhanced CT images and postoperative histopathological features of 107 patients (82 men, 25 women) with gastric cancers were retrospectively reviewed. CT texture analysis generated: (1) mean attenuation, (2) standard deviation, (3) max frequency, (4) mode, (5) minimum attenuation, (6) maximum attenuation, (7) the fifth, 10th, 25th, 50th, 75th and 90th percentiles, and (8) entropy. Correlations between CT texture parameters and histopathological features were analysed. Mean attenuation, maximum attenuation, all percentiles and mode derived from portal venous CT images correlated significantly with differentiation degree and Lauren classification of gastric cancers (r, -0.231 ∝-0.324, 0.228 ∝ 0.321, respectively). Standard deviation and entropy derived from arterial CT images also correlated significantly with Lauren classification of gastric cancers (r = -0.265, -0.222, respectively). In arterial phase analysis, standard deviation and entropy were significantly lower in gastric cancers with than those without vascular invasion; however, minimum attenuation was significantly higher in gastric cancers with than those without vascular invasion. CT texture analysis held great potential in predicting differentiation degree, Lauren classification and vascular invasion status of gastric cancers. (orig.)

Comprehensive Analysis of Cancer-Proteogenome to Identify Biomarkers for the Early Diagnosis and Prognosis of Cancer.

Science.gov (United States)

Shukla, Hem D

2017-10-25

During the past century, our understanding of cancer diagnosis and treatment has been based on a monogenic approach, and as a consequence our knowledge of the clinical genetic underpinnings of cancer is incomplete. Since the completion of the human genome in 2003, it has steered us into therapeutic target discovery, enabling us to mine the genome using cutting edge proteogenomics tools. A number of novel and promising cancer targets have emerged from the genome project for diagnostics, therapeutics, and prognostic markers, which are being used to monitor response to cancer treatment. The heterogeneous nature of cancer has hindered progress in understanding the underlying mechanisms that lead to abnormal cellular growth. Since, the start of The Cancer Genome Atlas (TCGA), and the International Genome consortium projects, there has been tremendous progress in genome sequencing and immense numbers of cancer genomes have been completed, and this approach has transformed our understanding of the diagnosis and treatment of different types of cancers. By employing Genomics and proteomics technologies, an immense amount of genomic data is being generated on clinical tumors, which has transformed the cancer landscape and has the potential to transform cancer diagnosis and prognosis. A complete molecular view of the cancer landscape is necessary for understanding the underlying mechanisms of cancer initiation to improve diagnosis and prognosis, which ultimately will lead to personalized treatment. Interestingly, cancer proteome analysis has also allowed us to identify biomarkers to monitor drug and radiation resistance in patients undergoing cancer treatment. Further, TCGA-funded studies have allowed for the genomic and transcriptomic characterization of targeted cancers, this analysis aiding the development of targeted therapies for highly lethal malignancy. High-throughput technologies, such as complete proteome, epigenome, protein-protein interaction, and pharmacogenomics

SIGMA: A System for Integrative Genomic Microarray Analysis of Cancer Genomes

Directory of Open Access Journals (Sweden)

Davies Jonathan J

2006-12-01

Full Text Available Abstract Background The prevalence of high resolution profiling of genomes has created a need for the integrative analysis of information generated from multiple methodologies and platforms. Although the majority of data in the public domain are gene expression profiles, and expression analysis software are available, the increase of array CGH studies has enabled integration of high throughput genomic and gene expression datasets. However, tools for direct mining and analysis of array CGH data are limited. Hence, there is a great need for analytical and display software tailored to cross platform integrative analysis of cancer genomes. Results We have created a user-friendly java application to facilitate sophisticated visualization and analysis such as cross-tumor and cross-platform comparisons. To demonstrate the utility of this software, we assembled array CGH data representing Affymetrix SNP chip, Stanford cDNA arrays and whole genome tiling path array platforms for cross comparison. This cancer genome database contains 267 profiles from commonly used cancer cell lines representing 14 different tissue types. Conclusion In this study we have developed an application for the visualization and analysis of data from high resolution array CGH platforms that can be adapted for analysis of multiple types of high throughput genomic datasets. Furthermore, we invite researchers using array CGH technology to deposit both their raw and processed data, as this will be a continually expanding database of cancer genomes. This publicly available resource, the System for Integrative Genomic Microarray Analysis (SIGMA of cancer genomes, can be accessed at http://sigma.bccrc.ca.

Renal Cancer Biomarkers | NCI Technology Transfer Center | TTC

Science.gov (United States)

The National Cancer Institute's Laboratory of Proteomics and Analytical Technologies is seeking statements of capability or interest from parties interested in collaborative research to further develop, evaluate, or commercialize diagnostic, therapeutic and prognostic cancer biomarkers from clinical specimens.

KNOWLEDGE MANAGEMENT AND COLLABORATION EFFECTS: SOUTH-SOUTH NGO COLLABORATION: A CASE STUDY ON THE BRAZILIAN INTERDISCIPLINARY AIDS ASSOCIATION

Directory of Open Access Journals (Sweden)

Grace Keeney

2012-06-01

Full Text Available In June 2008, the Brazilian Interdisciplinary AIDS Association (ABIA and the Indian NGO SAHARA submitted a joint pre-grant opposition to the patent application of Tenofovir Disoproxil Fumarate in India. This joint action provides a pertinent case model of the potential effects of South-South cooperation between civil society groups. In this study, the aim sought to determine the practicality of the methodology and propositions developed in Resources, Knowledge and Influence: the Organizational Effects of Interorganizational Collaboration (Hardy et al., 2003 in predicting the types of collaboration effects that would result from the degree of “involvement” and “embeddedness” of a collaboration. Data collection came from archival research, participant observation research and interviews. Research tasks included an investigation on South-South Cooperation in the area of IP rights and AIDS, compiling an SLR on knowledge management and collaboration theories, creating a chronology of the collaboration and application of aforementioned methodology. Application included (1 implementation of codification methodology based on “involvement” and “embeddedness” and (2 identification of types of effects in collaboration - strategic, knowledge creation or political. During data analysis, these effects were compared with the aims of collaboration. Results were then tested against propositions (Hardy et al., 2003 of the relationship between involvement and embeddedness and the collaborative effects. Findings support three propositions: (1 Collaborations with high levels of involvement will be positively associated with the acquisition of distinctive resources, (2 Collaborations with high levels of involvement and high levels of embeddedness will be positively associated with the creation of knowledge, (3 Collaborations that are highly embedded will be positively associated with an increase of influence.

Technology-mediated collaborative learning: theoretical contributions based on analysis of educational practice

Directory of Open Access Journals (Sweden)

Sonia CASILLAS MARTÍN

2017-12-01

Full Text Available Collaborative learning has been a subject of great interest in the context of educational research, giving rise to many studies emphasizing the potential of the collaboration process in student learning, knowledge building, the development of diverse abilities and improved academic performance. Based on a conceptual review and thorough reflection on this topic, this article presents the results of a case study carried out in different schools in the Autonomous Community of Castile y Leon (Spain in an attempt to identify patterns of common action through the implementation of collaborative learning methods mediated by information and communication technologies (ICT. Among the many outcomes of this study, we conclude by highlighting the need to plan collaborative work very carefully, taking advantage of the opportunities offered by ICT as communicative environments where it is possible to construct joint and shared learning. 

Collaboratively Constructed Contradictory Accounts

DEFF Research Database (Denmark)

Tunby Gulbrandsen, Ib; Just, Sine Nørholm

2013-01-01

Based on a mixed-method case study of online communication about the Danish pharmaceutical company Novo Nordisk, this article argues that online communication plays out as a centrifugal narration process with centripetal consequences. Through a content analysis of communication about Novo Nordisk...... the theoretical and methodological implications of the empirical findings. It is argued that although the findings are not in themselves surprising, they adequately reflect that online meaning formation is, indeed, a collaborative process in which centrifugal forces have centripetal consequences. Furthermore......, the findings suggest that the chosen mixed-method case study successfully navigates the dilemma of studying online collaborative processes through the traces they leave behind....

Pleiotropic Analysis of Lung Cancer and Blood Triglycerides

NARCIS (Netherlands)

Zuber, V.; Marconett, C.N.; Shi, J.; Hua, X.; Wheeler, W.; Yang, C.; Song, L; Dale, A.M.; Laplana, M.; Risch, A.; Witoelar, A.; Thompson, W.K.; Schork, A.J.; Bettella, F.; Wang, Y; Djurovic, S.; Zhou, B.; Borok, Z.; Heijden, H.F.M. van der; Graaf, J. de; Swinkels, D.W.; Aben, K.K.H.; McKay, J.; Hung, R.J.; Bikeboller, H.; Stevens, V.L.; Albanes, D.; Caporaso, N.E.; Han, Y.; Wei, Y.; Panadero, M.A.; Mayordomo, J.I.; Christiani, D.C.; Kiemeney, L.A.; Andreassen, O.A.; Houlston, R.; Amos, C.I.; Chatterjee, N.; Laird-Offringa, I.A.; Mills, I.G.; Landi, M.T.

2016-01-01

Epidemiologically related traits may share genetic risk factors, and pleiotropic analysis could identify individual loci associated with these traits. Because of their shared epidemiological associations, we conducted pleiotropic analysis of genome-wide association studies of lung cancer (12 160

Sulphur XANES Analysis of Cultured Human Prostate Cancer Cells

International Nuclear Information System (INIS)

Kwiatek, W.M.; Podgorczyk, M.; Paluszkiewicz, Cz.; Balerna, A.; Kisiel, A.

2008-01-01

Prostate cancer is one of the most commonly diagnosed cancers in men throughout the world. It is believed that changes to the structure of protein binding sites, altering its metabolism, may play an important role in carcinogenesis. Sulphur, often present in binding sites, can influence such changes through its chemical speciation. Hence there is a need for precise investigation of coordination environment of sulphur. X-ray absorption near edge structure spectroscopy offers such possibility. Cell culture samples offer histologically well defined areas of good homogeneity, suitable for successful and reliable X-ray absorption near edge structure analysis. This paper presents sulphur speciation data collected from three different human prostate cancer cell lines (PC-3, LNCaP and DU-145). Sulphur X-ray absorption near edge structure analysis was performed on K-edge structure. The spectra of cells were compared with those of cancerous tissue and with organic substances as well as inorganic compounds. (authors)

The PACA Project : Pro-Am Collaborative Astronomy

Science.gov (United States)

Yanamandra-Fisher, P. A.

2014-04-01

The Pro-Am Collaborative Astronomy (PACA) project is the next stage of evolution of the paradigm developed for the observational campaign of C/2012 S1 or C/ISON. Four different phases of collaboration are identified, and illustrate the integration of scientific investigations with amateur astronomer community via observations, and models; and the rapid dissemination of the results via a multitude of social media for rapid global access. The success of the paradigm shift in scientific research is now implemented in other comet observing campaigns. Both communities (scientific and amateur astronomers) benefit from these collective, collaborative partnerships; while outreach is the instantaneous deliverable that provides both a framework for future data analyses and the dissemination of the results. While PACA identifies a collaborative approach to pro-am collaborations, given the volume of data generated for each campaign, new ways of rapid data analysis, mining access and storage are needed.

Protocol for a systematic review of psychological interventions for cancer-related fatigue in post-treatment cancer survivors.

Science.gov (United States)

Corbett, Teresa; Devane, Declan; Walsh, Jane C; Groarke, AnnMarie; McGuire, Brian E

2015-12-04

Fatigue is a common symptom in cancer patients that can persist beyond the curative treatment phase. Some evidence has been reported for interventions for fatigue during active treatment. However, to date, there is no systematic review on psychological interventions for fatigue after the completion of curative treatment for cancer. This is a protocol for a systematic review that aims to evaluate the effectiveness of psychological interventions for cancer-related fatigue in post-treatment cancer survivors. This systematic review protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO) database. We will search the Cochrane Central Register of Controlled Trials (CENTRAL; The Cochrane Library), PubMed, MEDLINE, EMBASE, CINAHL, PsycINFO, and relevant sources of grey literature. Randomised controlled trials (RCTs) which have evaluated psychological interventions in adult cancer patients after the completion of treatment, with fatigue as an outcome measure, will be included. Two review authors will independently extract data from the selected studies and assess the methodological quality using the Cochrane Collaboration Risk of Bias Tool. Most existing evidence on cancer-related fatigue is from those in active cancer treatment. This systematic review and meta-analysis will build upon previous evaluations of psychological interventions in people during and after cancer treatment. With the growing need for stage-specific research in cancer, this review seeks to highlight a gap in current practice and to strengthen the evidence base of randomised controlled trials in the area. PROSPERO CRD42014015219.

AAPT Diagnostic Criteria for Chronic Cancer Pain Conditions

OpenAIRE

Paice, Judith A.; Mulvey, Matt; Bennett, Michael; Dougherty, Patrick M.; Farrar, John T.; Mantyh, Patrick W.; Miaskowski, Christine; Schmidt, Brian; Smith, Thomas J.

2016-01-01

Chronic cancer pain is a serious complication of malignancy or its treatment. Currently, no comprehensive, universally accepted cancer pain classification system exists. Clarity in classification of common cancer pain syndromes would improve clinical assessment and management. Moreover, an evidence-based taxonomy would enhance cancer pain research efforts by providing consistent diagnostic criteria, ensuring comparability across clinical trials. As part of a collaborative effort between the A...

Financial Quality of Life for Patients With Cancer: An Exploratory Study.

Science.gov (United States)

Callahan, Christine; Brintzenhofeszoc, Karlynn

2015-01-01

For people who are experiencing financial hardship, a cancer diagnosis can be devastating. For others, cancer may exacerbate financial stress, thereby influencing their livelihood, their ability to maintain employment benefits including health insurance, manage financial obligations, and participate meaningfully in cancer treatment. This study examined how vulnerabilities in psychosocial situations affect financial quality of life within the larger context of health-care decision making through a survey conducted with a cross-sectional availability sample of 90 cancer patients. Results from the multiple regression analysis found that health insurance adequacy, fewer perceived barriers to care, and reduced financial stress are significant predictors of better financial quality of life in this sample. Oncology social workers and other disciplines involved in psychosocial treatment with patients with cancer must assess and address financial and logistic aspects of life in order to provide comprehensive cancer care that meets all needs. Collaborative coordination with patients with cancer and their families to intervene psychosocially, medically, and financially are critical components of sound psychosocial and medical practice.

Coffee Consumption and Risk of Biliary Tract Cancers and Liver Cancer: A Dose-Response Meta-Analysis of Prospective Cohort Studies.

Science.gov (United States)

Godos, Justyna; Micek, Agnieszka; Marranzano, Marina; Salomone, Federico; Rio, Daniele Del; Ray, Sumantra

2017-08-28

A meta-analysis was conducted to summarize the evidence from prospective cohort and case-control studies regarding the association between coffee intake and biliary tract cancer (BTC) and liver cancer risk. Eligible studies were identified by searches of PubMed and EMBASE databases from the earliest available online indexing year to March 2017. The dose-response relationship was assessed by a restricted cubic spline model and multivariate random-effect meta-regression. A stratified and subgroup analysis by smoking status and hepatitis was performed to identify potential confounding factors. We identified five studies on BTC risk and 13 on liver cancer risk eligible for meta-analysis. A linear dose-response meta-analysis did not show a significant association between coffee consumption and BTC risk. However, there was evidence of inverse correlation between coffee consumption and liver cancer risk. The association was consistent throughout the various potential confounding factors explored including smoking status, hepatitis, etc. Increasing coffee consumption by one cup per day was associated with a 15% reduction in liver cancer risk (RR 0.85; 95% CI 0.82 to 0.88). The findings suggest that increased coffee consumption is associated with decreased risk of liver cancer, but not BTC.

Collaborative Efforts Driving Progress in Pediatric Acute Myeloid Leukemia

Science.gov (United States)

Zwaan, C. Michel; Kolb, Edward A.; Reinhardt, Dirk; Abrahamsson, Jonas; Adachi, Souichi; Aplenc, Richard; De Bont, Eveline S.J.M.; De Moerloose, Barbara; Dworzak, Michael; Gibson, Brenda E.S.; Hasle, Henrik; Leverger, Guy; Locatelli, Franco; Ragu, Christine; Ribeiro, Raul C.; Rizzari, Carmelo; Rubnitz, Jeffrey E.; Smith, Owen P.; Sung, Lillian; Tomizawa, Daisuke; van den Heuvel-Eibrink, Marry M.; Creutzig, Ursula; Kaspers, Gertjan J.L.

2015-01-01

Diagnosis, treatment, response monitoring, and outcome of pediatric acute myeloid leukemia (AML) have made enormous progress during the past decades. Because AML is a rare type of childhood cancer, with an incidence of approximately seven occurrences per 1 million children annually, national and international collaborative efforts have evolved. This overview describes these efforts and includes a summary of the history and contributions of each of the main collaborative pediatric AML groups worldwide. The focus is on translational and clinical research, which includes past, current, and future clinical trials. Separate sections concern acute promyelocytic leukemia, myeloid leukemia of Down syndrome, and relapsed AML. A plethora of novel antileukemic agents that have emerged, including new classes of drugs, are summarized as well. Finally, an important aspect of the treatment of pediatric AML—supportive care—and late effects are discussed. The future is bright, with a wide range of emerging innovative therapies and with more and more international collaboration that ultimately aim to cure all children with AML, with fewer adverse effects and without late effects. PMID:26304895

Tobacco smoking, polymorphisms in carcinogen metabolism enzyme genes, and risk of localized and advanced prostate cancer: results from the California Collaborative Prostate Cancer Study

International Nuclear Information System (INIS)

Shahabi, Ahva; Corral, Román; Catsburg, Chelsea; Joshi, Amit D; Kim, Andre; Lewinger, Juan Pablo; Koo, Jocelyn; John, Esther M; Ingles, Sue A; Stern, Mariana C

2014-01-01

The relationship between tobacco smoking and prostate cancer (PCa) remains inconclusive. This study examined the association between tobacco smoking and PCa risk taking into account polymorphisms in carcinogen metabolism enzyme genes as possible effect modifiers (9 polymorphisms and 1 predicted phenotype from metabolism enzyme genes). The study included cases (n = 761 localized; n = 1199 advanced) and controls (n = 1139) from the multiethnic California Collaborative Case–Control Study of Prostate Cancer. Multivariable conditional logistic regression was performed to evaluate the association between tobacco smoking variables and risk of localized and advanced PCa risk. Being a former smoker, regardless of time of quit smoking, was associated with an increased risk of localized PCa (odds ratio [OR] = 1.3; 95% confidence interval [CI] = 1.0–1.6). Among non-Hispanic Whites, ever smoking was associated with an increased risk of localized PCa (OR = 1.5; 95% CI = 1.1–2.1), whereas current smoking was associated with risk of advanced PCa (OR = 1.4; 95% CI = 1.0–1.9). However, no associations were observed between smoking intensity, duration or pack-year variables, and advanced PCa. No statistically significant trends were seen among Hispanics or African-Americans. The relationship between smoking status and PCa risk was modified by the CYP1A2 rs7662551 polymorphism (P-interaction = 0.008). In conclusion, tobacco smoking was associated with risk of PCa, primarily localized disease among non-Hispanic Whites. This association was modified by a genetic variant in CYP1A2, thus supporting a role for tobacco carcinogens in PCa risk

Factors influencing teamwork and collaboration within a tertiary medical center.

Science.gov (United States)

Chien, Shu Feng; Wan, Thomas Th; Chen, Yu-Chih

2012-04-26

To understand how work climate and related factors influence teamwork and collaboration in a large medical center. A survey of 3462 employees was conducted to generate responses to Sexton's Safety Attitudes Questionnaire (SAQ) to assess perceptions of work environment via a series of five-point, Likert-scaled questions. Path analysis was performed, using teamwork (TW) and collaboration (CO) as endogenous variables. The exogenous variables are effective communication (EC), safety culture (SC), job satisfaction (JS), work pressure (PR), and work climate (WC). The measurement instruments for the variables or summated subscales are presented. Reliability of each sub-scale are calculated. Alpha Cronbach coefficients are relatively strong: TW (0.81), CO (0.76), EC (0.70), SC (0.83), JS (0.91), WP (0.85), and WC (0.78). Confirmatory factor analysis was performed for each of these constructs. Path analysis enables to identify statistically significant predictors of two endogenous variables, teamwork and intra-organizational collaboration. Significant amounts of variance in perceived teamwork (R(2) = 0.59) and in collaboration (R(2) = 0.75) are accounted for by the predictor variables. In the initial model, safety culture is the most important predictor of perceived teamwork, with a β weight of 0.51, and work climate is the most significant predictor of collaboration, with a β weight of 0.84. After eliminating statistically insignificant causal paths and allowing correlated predictors1, the revised model shows that work climate is the only predictor positively influencing both teamwork (β = 0.26) and collaboration (β = 0.88). A relatively weak positive (β = 0.14) but statistically significant relationship exists between teamwork and collaboration when the effects of other predictors are simultaneously controlled. Hospital executives who are interested in improving collaboration should assess the work climate to ensure that employees are operating in a setting conducive

Factors influencing teamwork and collaboration within a tertiary medical center

Science.gov (United States)

Chien, Shu Feng; Wan, Thomas TH; Chen, Yu-Chih

2012-01-01

AIM: To understand how work climate and related factors influence teamwork and collaboration in a large medical center. METHODS: A survey of 3462 employees was conducted to generate responses to Sexton’s Safety Attitudes Questionnaire (SAQ) to assess perceptions of work environment via a series of five-point, Likert-scaled questions. Path analysis was performed, using teamwork (TW) and collaboration (CO) as endogenous variables. The exogenous variables are effective communication (EC), safety culture (SC), job satisfaction (JS), work pressure (PR), and work climate (WC). The measurement instruments for the variables or summated subscales are presented. Reliability of each sub-scale are calculated. Alpha Cronbach coefficients are relatively strong: TW (0.81), CO (0.76), EC (0.70), SC (0.83), JS (0.91), WP (0.85), and WC (0.78). Confirmatory factor analysis was performed for each of these constructs. RESULTS: Path analysis enables to identify statistically significant predictors of two endogenous variables, teamwork and intra-organizational collaboration. Significant amounts of variance in perceived teamwork (R2 = 0.59) and in collaboration (R2 = 0.75) are accounted for by the predictor variables. In the initial model, safety culture is the most important predictor of perceived teamwork, with a β weight of 0.51, and work climate is the most significant predictor of collaboration, with a β weight of 0.84. After eliminating statistically insignificant causal paths and allowing correlated predictors1, the revised model shows that work climate is the only predictor positively influencing both teamwork (β = 0.26) and collaboration (β = 0.88). A relatively weak positive (β = 0.14) but statistically significant relationship exists between teamwork and collaboration when the effects of other predictors are simultaneously controlled. CONCLUSION: Hospital executives who are interested in improving collaboration should assess the work climate to ensure that employees are

The Rationality/Emotional Defensiveness Scale--II. Convergent and discriminant correlational analysis in males and females with and without cancer.

Science.gov (United States)

Swan, G E; Carmelli, D; Dame, A; Rosenman, R H; Spielberger, C D

1992-05-01

The psychological correlates of the Rationality/Emotional Defensiveness Scale and its two subscales were examined in 1236 males and 863 females from the Western Collaborative Group Study. An additional 157 males and 164 females with some form of cancer other than of the skin were also included in this analysis. Characteristics measured included self-reported emotional control, anger expression, trait personality, depressive and neurotic symptomatology, Type A behavior, hostility, and social desirability. Results indicate that the Rationality/Emotional Defensiveness Scale is most strongly related to the suppression and control of emotions, especially anger. Scores on this scale also tend to be associated with less Type A behavior and hostility and with more social conformity. Analysis of the component subscale suggests that Antiemotionality, i.e. the extent to which an individual uses reason and logic to avoid interpersonally related emotions, is most strongly marked by the control of anger, while Rationality, i.e. the extent to which an individual uses reason and logic as a general approach to coping with the environment, is related to the control of anxiety and a higher level of trait curiosity. The psychological interpretation of the scale appears to be largely invariant across gender, unaffected by residualization of the total scale score for its association with Social Desirability, and, except for a few minor instances, unrelated to the diagnosis of cancer.

Analysis of Production, Impact, and Scientific Collaboration on Difficult Airway Through the Web of Science and Scopus (1981-2013).

Science.gov (United States)

García-Aroca, Miguel Ángel; Pandiella-Dominique, Andrés; Navarro-Suay, Ricardo; Alonso-Arroyo, Adolfo; Granda-Orive, José Ignacio; Anguita-Rodríguez, Francisco; López-García, Andrés

2017-06-01

Bibliometrics, the statistical analysis of written publications, is an increasingly popular approach to the assessment of scientific activity. Bibliometrics allows researchers to assess the impact of a field, or research area, and has been used to make decisions regarding research funding. Through bibliometric analysis, we hypothesized that a bibliometric analysis of difficult airway research would demonstrate a growth in authors and articles over time. Using the Web of Science (WoS) and Scopus databases, we conducted a search of published manuscripts on the difficult airway from January 1981 to December 2013. After removal of duplicates, we identified 2412 articles. We then analyzed the articles as a group to assess indicators of productivity, collaboration, and impact over this time period. We found an increase in productivity over the study period, with 37 manuscripts published between 1981 and 1990, and 1268 between 2001 and 2010 (P 9% for both WoS and Scopus, and CAGR for anesthesiology as a whole =0.64% in WoS, and =3.30% in Scopus. Furthermore, we found a positive correlation between the number of papers published per author and the number of coauthored manuscripts (P < .001). We also found an increase in the number of coauthored manuscripts, in international cooperation between institutions, and in the number of citations for each manuscript. For any author, we also identified a positive relationship between the number of citations per manuscript and the number of papers published (P < .001). We found a greater increase over time in the number of difficult airway manuscripts than for anesthesiology research overall. We found that collaboration between authors increases their impact, and that an increase in collaboration increases citation rates. Publishing in English and in certain journals, and collaborating with certain authors and institutions, increases the visibility of manuscripts published on this subject.

Improving collaboration between large and small-medium enterprises in automobile production

Science.gov (United States)

Sung, Soyoung; Kim, Yanghoon; Chang, Hangbae

2018-01-01

Inter-organisational collaboration is important for achieving qualitative and quantitative performance improvement in the global competitive environment. In particular, the extent of collaboration between the mother company and its suppliers is important for the profitability and sustainability of a company in the automobile industry, which is carried out using a customisation and order production system. As a result of the empirical analysis in this study, the collaborative information sharing cycle is shortened and the collaborative information sharing scope is widened. Therefore, the level of collaboration is improved by constructing an IT collaboration system.

Collaborative experience

DEFF Research Database (Denmark)

Mortensen, Thomas Bøtker

-Doerr, 1996) and has been shown to have a positive effect to the outcome of collaborative R&D (Sampson, 2005). Anand & Khanna (2000), furthermore, hypothesized that research joint ventures are more ambiguous than marketing joint ventures and even more the licensing and showed that the effect of collaborative......Literature review: Collaborative experience has been shown to have a positive effect on the collaborative outcome in general (Anand & Khanna, 2000; Kale, Dyer & Singh, 2002). Furthermore, it has been linked to the ability to exploit the network of the firm for learning (Powell, Koput and Smith...... experience was largest the higher the hypothesized ambiguity. Theoretically contribution: This research project aims at contributing to existing literature by arguing, that collaborative experience is a moderating variable which moderates the effects on collaborative outcome from the level of complexity...

Cardio-Oncology: An Update on Cardiotoxicity of Cancer-Related Treatment.

Science.gov (United States)

Lenneman, Carrie G; Sawyer, Douglas B

2016-03-18

Through the success of basic and disease-specific research, cancer survivors are one of the largest growing subsets of individuals accessing the healthcare system. Interestingly, cardiovascular disease is the second leading cause of morbidity and mortality in cancer survivors after recurrent malignancy. This recognition has helped stimulate a collaboration between oncology and cardiology practitioners and researchers, and the portmanteau cardio-oncology (also known as onco-cardiology) can now be found in many medical centers. This collaboration promises new insights into how cancer therapies impact cardiovascular homeostasis and long-term effects on cancer survivors. In this review, we will discuss the most recent views on the cardiotoxicity related to various classes of chemotherapy agents and radiation. We will also discuss broadly the current strategies for treating and preventing cardiovascular effects of cancer therapy. © 2016 American Heart Association, Inc.

De-romanticising dialogue in collaborative health care research

DEFF Research Database (Denmark)

Phillips, Professor MSO Louise; Olesen, Birgitte Ravn; Scheffmann-Petersen, Michael

2018-01-01

in the tensional interplay of multiple voices whereby certain voices dominate. Finally, the article offers a typology of ideal types of collaborative research relations that can be used in the initial research phase as a platform for reflexive discussion between researchers and potential collaborative partners......In the current socio-political conjuncture, collaborative, dialogic forms of knowledge production abound and are idealised as democratic and inclusive. The aim of the article is to contribute to the body of critical, reflexive analyses of collaborative research by analysing how complex dynamics...... of exclusion as well as inclusion create tensions in researchers’ attempts to establish collaborative relations in the initial phase of an action research project. The analysis applies a framework combining Bakhtinian dialogic communication theory and Foucauldian theory to explore inclusion and exclusion...

How many new cancer patients in Europe will require radiotherapy by 2025? An ESTRO-HERO analysis.

Science.gov (United States)

Borras, Josep M; Lievens, Yolande; Barton, Michael; Corral, Julieta; Ferlay, Jacques; Bray, Freddie; Grau, Cai

2016-04-01

The objective of this HERO study was to assess the number of new cancer patients that will require at least one course of radiotherapy by 2025. European cancer incidence data by tumor site and country for 2012 and 2025 was extracted from the GLOBOCAN database. The projection of the number of new cases took into account demographic factors (age and size of the population). Population based stages at diagnosis were taken from four European countries. Incidence and stage data were introduced in the Australian Collaboration for Cancer Outcomes Research and Evaluation (CCORE) model. Among the different tumor sites, the highest expected relative increase by 2025 in treatment courses was prostate cancer (24%) while lymphoma (13%), head and neck (12%) and breast cancer (10%) were below the average. Based on the projected cancer distributions in 2025, a 16% expected increase in the number of radiotherapy treatment courses was estimated. This increase varied across European countries from less than 5% to more than 30%. With the already existing disparity in radiotherapy resources in mind, the data provided here should act as a leverage point to raise awareness among European health policy makers of the need for investment in radiotherapy. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Concept analysis of cancer survivorship and contributions to oncological nursing.

Science.gov (United States)

de Oliveira, Rafaela Azevedo Abrantes; da Conceição, Vander Monteiro; Araujo, Jeferson Santos; Zago, Márcia Maria Fontão

2018-02-01

This study aims to analyse the concept of cancer survivorship using Rodgers' evolutionary concept analysis model. The lack of a consensus definition as well as the confusion and debate concerning the definitions of "survivor" and "cancer survivorship" hinder an understanding of the intrinsic needs associated with the latter. Concept analysis. A systematic literature search was performed using the following databases: PubMed, CINAHL, Web of Science, LILACS, and PsycINFO with studies published between 2000 and 2014. The final sample contained 39 studies that were analysed on the basis of Rodgers' model and inductive thematic analysis, discussed through the lens of the medical anthropology concept of culture. Cancer survivorship is a broad concept that can be understood using 8 themes: changes in life plans, positive and negative aspect dualities, life reflections, identity change, individual experiences, symptom control, the need for support, and quality of care. These themes are summarized using 2 attributes: liminality process and culturally congruent care. This article contributes to understanding of cancer survivorship and the processes that are intrinsic to this concept. It calls for future investigations to enhance cancer survivorship across its 2 domains at the personal (patient's life) and clinical (nursing practice) levels. © 2017 John Wiley & Sons Australia, Ltd.

Statistical methods for site-specific analysis of cancer among the A-bomb survivors

International Nuclear Information System (INIS)

Pierce, D.A.; Preston, D.L.

1992-01-01

Statistical methods are presented for joint, or simultaneous, analysis of the risks of several types of cancer for the A-bomb survivors. Previous analyses have been made either for all cancers except leukemia together, or have been done separately by cancer type. Either of these approaches has serious limitations, and the aim of joint analysis is to overcome these, while taking advantage of the strengths of each. The primary advantage of joint analysis is that models for risks of various cancer types can have some parameters in common, and others which are type-specific. This serves to overcome difficulties due to the limited data on specific cancer types. It also provides for significant tests comparing both type-specific risks and type-specific effects of modifying factors such as sex and age. These methods are exemplified here by joint analysis of three classes of cancer considered by the BEIR-V committee: (i) respiratory, (ii) digestive, and (iii) other cancers, excluding leukemia and breast cancer. The primary aim is to illustrate the general advantages of joint analyses, but in addition some comparison is made between the results of such joint analyses and the conclusions drawn by BEIR-V committee from separate analyses. (author)

A Framework for the Analysis of Collaborative and Interactive Elements in MOOCs

DEFF Research Database (Denmark)

Rasmus Kvist, Andersen,; Garp, Kristian; Nellemann, Kevin

2014-01-01

of collaborative knowledge construction processes and, as such, signs of learning (in line with the CSCL thinking of Laurillard, Stahl, Sorensen, and Salmon). This paper presents a study whose objective is to identify methods for analyzing and evaluating the nature of collaborative knowledge construction...

Scientific authorships and collaboration network analysis on Chagas disease: papers indexed in PubMed (1940-2009).

Science.gov (United States)

González-Alcaide, Gregorio; Park, Jinseo; Huamaní, Charles; Gascón, Joaquín; Ramos, José Manuel

2012-08-01

Chagas disease is a chronic, tropical, parasitic disease, endemic throughout Latin America. The large-scale migration of populations has increased the geographic distribution of the disease and cases have been observed in many other countries around the world. To strengthen the critical mass of knowledge generated in different countries, it is essential to promote cooperative and translational research initiatives. We analyzed authorship of scientific documents on Chagas disease indexed in the Medline database from 1940 to 2009. Bibliometrics was used to analyze the evolution of collaboration patterns. A Social Network Analysis was carried out to identify the main research groups in the area by applying clustering methods. We then analyzed 13,989 papers produced by 21,350 authors. Collaboration among authors dramatically increased over the study period, reaching an average of 6.2 authors per paper in the last five-year period. Applying a threshold of collaboration of five or more papers signed in co-authorship, we identified 148 consolidated research groups made up of 1,750 authors. The Chagas disease network identified constitutes a "small world," characterized by a high degree of clustering and a notably high number of Brazilian researchers.

Potential microRNA-mediated oncogenic intercellular communication revealed by pan-cancer analysis

Science.gov (United States)

Li, Yue; Zhang, Zhaolei

2014-11-01

Carcinogenesis consists of oncogenesis and metastasis, and intriguingly microRNAs (miRNAs) are involved in both processes. Although aberrant miRNA activities are prevalent in diverse tumor types, the exact mechanisms for how they regulate cancerous processes are not always clear. To this end, we performed a large-scale pan-cancer analysis via a novel probabilistic approach to infer recurrent miRNA-target interactions implicated in 12 cancer types using data from The Cancer Genome Atlas. We discovered ~20,000 recurrent miRNA regulations, which are enriched for cancer-related miRNAs/genes. Notably, miRNA 200 family (miR-200/141/429) is among the most prominent miRNA regulators, which is known to be involved in metastasis. Importantly, the recurrent miRNA regulatory network is not only enriched for cancer pathways but also for extracellular matrix (ECM) organization and ECM-receptor interactions. The results suggest an intriguing cancer mechanism involving miRNA-mediated cell-to-cell communication, which possibly involves delivery of tumorigenic miRNA messengers to adjacent cells via exosomes. Finally, survival analysis revealed 414 recurrent-prognostic associations, where both gene and miRNA involved in each interaction conferred significant prognostic power in one or more cancer types. Together, our comprehensive pan-cancer analysis provided not only biological insights into metastasis but also brought to bear the clinical relevance of the proposed recurrent miRNA-gene associations.

Collaborative analysis for certification of zirconium and zirconium base alloy reference materials JAERI-Z11 to Z16

International Nuclear Information System (INIS)

1985-03-01

The second Sub-Committee on Zircaloy Analysis was organized in April 1978, under the Committee on Analytical Chemistry on Nuclear Fuels and Reactor Materials, JAERI, for the renewal of zirconium and zirconium base alloy certified reference materials (CRMs). The Sub-Committee carried out collaborative analysis among 13 participating laboratories for the certification of the CRMs, JAERI-Z11 to Z18, after development, improvement and evaluation of analytical methods during the period of May 1978 to June 1982. As the result of the collaborative analysis, the certified value was given for 18 elements (Sn, Fe, Ni, Cr, B, Cd, U, Cu, Co, Mn, Pb, Al, Ti, Si, Mo, W, Hf, C) in the CRMs. The first part of this report includes general discussion, the second part principles of certification, the third part development and verification of analytical methods, and the fourth part evaluation of analytical results on 17 elements. Preparation of Z11 to Z18, and certification for carbon in JAERI-Z17 and Z18 were reported separately in JAERI-M 83-241 and M 83-035, respectively. (author)

Cloud Based Resource for Data Hosting, Visualization and Analysis Using UCSC Cancer Genomics Browser | Informatics Technology for Cancer Research (ITCR)

Science.gov (United States)

The Cancer Analysis Virtual Machine (CAVM) project will leverage cloud technology, the UCSC Cancer Genomics Browser, and the Galaxy analysis workflow system to provide investigators with a flexible, scalable platform for hosting, visualizing and analyzing their own genomic data.

Radiation therapy for operable rectal cancer

International Nuclear Information System (INIS)

Bondar, G.V.; Semikoz, N.G.; Bashejev, V.Kh.; Borota, O.V.; Bondarenko, M.V.; Kiyashko, O.Yu.

2012-01-01

The authors present a review of the literature on modern tendencies of radiation therapy application to treatment of operable rectal cancer. Many randomized control studies compared the efficacy of combination of radiation therapy (pre-operative or post-operative) and surgery versus surgery only demonstrating various results. Meta-analysis of the data on efficacy of combination of radiation therapy and standard surgery revealed 22 randomized control studies (14 with pre-operative radiation therapy and 8 with post-operative radiation therapy) with total number of 8507 patients (Colorectal Cancer Collaborative Group, 2000). The use of combination treatment reduced the number of isolated locoregional relapses both with pre-operative (22.5 - 12.5 %; p < 0.00001) and post-operative radiation therapy (25.8 - 16.7 %; p - 0.00001). The influence on total survival was not significant (62 % vs. 63 %; p - 0.06).

DNA adducts and cancer risk in prospective studies: a pooled analysis and a meta-analysis

DEFF Research Database (Denmark)

Veglia, Fabrizio; Loft, Steffen; Matullo, Giuseppe

2008-01-01

in which bulky DNA adducts have been measured in blood samples collected from healthy subjects (N = 1947; average follow-up 51-137 months). In addition, we have performed a meta-analysis by identifying all articles on the same subject published up to the end of 2006, including case-control studies......). The association was evident only in current smokers and was absent in former smokers. Also the meta-analysis, which included both lung and bladder cancers, showed a statistically significant association in current smokers, whereas the results in never smokers were equivocal; in former smokers, no association......Bulky DNA adducts are biomarkers of exposure to aromatic compounds and of the ability of the individual to metabolically activate carcinogens and to repair DNA damage. Their ability to predict cancer onset is uncertain. We have performed a pooled analysis of three prospective studies on cancer risk...

A Network-Based Model of Oncogenic Collaboration for Prediction of Drug Sensitivity

Directory of Open Access Journals (Sweden)

Ted G Laderas

2015-12-01

Full Text Available Tumorigenesis is a multi-step process, involving the acquisition of multiple oncogenic mutations that transform cells, resulting in systemic dysregulation that enables proliferation, among other cancer hallmarks. High throughput omics techniques are used in precision medicine, allowing identification of these mutations with the goal of identifying treatments that target them. However, the multiplicity of oncogenes required for transformation, known as oncogenic collaboration, makes assigning effective treatments difficult. Motivated by this observation, we propose a new type of oncogenic collaboration where mutations in genes that interact with an oncogene may contribute to its dysregulation, a new genomic feature that we term surrogate oncogenes. By mapping mutations to a protein/protein interaction network, we can determine significance of the observed distribution using permutation-based methods. For a panel of 38 breast cancer cell lines, we identified significant surrogate oncogenes in oncogenes such as BRCA1 and ESR1. In addition, using Random Forest Classifiers, we show that these significant surrogate oncogenes predict drug sensitivity for 74 drugs in the breast cancer cell lines with a mean error rate of 30.9%. Additionally, we show that surrogate oncogenes are predictive of survival in patients. The surrogate oncogene framework incorporates unique or rare mutations on an individual level. Our model has the potential for integrating patient-unique mutations in predicting drug-sensitivity, suggesting a potential new direction in precision medicine, as well as a new approach for drug development. Additionally, we show the prevalence of significant surrogate oncogenes in multiple cancers within the Cancer Genome Atlas, suggesting that surrogate oncogenes may be a useful genomic feature for guiding pancancer analyses and assigning therapies across many tissue types.

Scientific Visualization for Atmospheric Data Analysis in Collaborative Virtual Environments

Science.gov (United States)

Engelke, Wito; Flatken, Markus; Garcia, Arturo S.; Bar, Christian; Gerndt, Andreas

2016-04-01

1 INTRODUCTION The three year European research project CROSS DRIVE (Collaborative Rover Operations and Planetary Science Analysis System based on Distributed Remote and Interactive Virtual Environments) started in January 2014. The research and development within this project is motivated by three use case studies: landing site characterization, atmospheric science and rover target selection [1]. Currently the implementation for the second use case is in its final phase [2]. Here, the requirements were generated based on the domain experts input and lead to development and integration of appropriate methods for visualization and analysis of atmospheric data. The methods range from volume rendering, interactive slicing, iso-surface techniques to interactive probing. All visualization methods are integrated in DLR's Terrain Rendering application. With this, the high resolution surface data visualization can be enriched with additional methods appropriate for atmospheric data sets. This results in an integrated virtual environment where the scientist has the possibility to interactively explore his data sets directly within the correct context. The data sets include volumetric data of the martian atmosphere, precomputed two dimensional maps and vertical profiles. In most cases the surface data as well as the atmospheric data has global coverage and is of time dependent nature. Furthermore, all interaction is synchronized between different connected application instances, allowing for collaborative sessions between distant experts. 2 VISUALIZATION TECHNIQUES Also the application is currently used for visualization of data sets related to Mars the techniques can be used for other data sets as well. Currently the prototype is capable of handling 2 and 2.5D surface data as well as 4D atmospheric data. Specifically, the surface data is presented using an LoD approach which is based on the HEALPix tessellation of a sphere [3, 4, 5] and can handle data sets in the order of

Competition in collaborative clothing: a qualitative case study of influences on collaborative quality improvement in the ICU.

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Dainty, Katie N; Scales, Damon C; Sinuff, Tasnim; Zwarenstein, Merrick

2013-04-01

Multiorganisational quality improvement (QI) collaborative networks are promoted for improving quality within healthcare. Recently, several large-scale QI initiatives have been conducted in the intensive care unit (ICU) environment with successful quantitative results. However, the mechanisms through which such networks lead to QI success remain uncertain. We aim to understand ICU staff perspectives on collaborative QI based on involvement in a multiorganisational improvement network and hypothesise about theoretical constructs that might explain the effect of collaboration in such networks. Qualitative study using a modified grounded theory approach. Key informant interviews were conducted with staff from 12 community hospital ICUs that participated in a cluster randomized control trial (RCT) of a QI intervention using a collaborative approach between 2006 and 2008. Data analysis followed the standard procedure for grounded theory using constant comparative methodology. The collaborative network was perceived to promote increased intrateam cooperation over interorganisational cooperation, but friendly competition with other ICUs appeared to be a prominent driver of behaviour change. Bedsides, clinicians reported that belonging to a collaborative network provided recognition for the high-quality patient care that they already provided. However, the existing communication structure was perceived to be ineffective for staff engagement since it was based on a hierarchical approach to knowledge transfer and project awareness. QI collaborative networks may promote behaviour change by improving intrateam communication, fostering competition with other institutions, and increasing recognition for providing high-quality care. Other commonly held assumptions about their potential impact, for instance, increasing interorganisational legitimisation, communication and collaboration, may be less important.

Information-seeking experiences and decision-making roles of Japanese women with breast cancer.

Science.gov (United States)

Nakashima, Mitsuyo; Kuroki, Syoji; Shinkoda, Harumi; Suetsugu, Yoshiko; Shimada, Kazuo; Kaku, Tsunehisa

2012-06-01

To investigate the information-seeking experiences and decision-making roles of Japanese women with breast cancer, to examine the relationship between information-seeking experiences and decision-making roles, and to explore the factors that influenced taking a more active role than the preferred role during the treatment decision-making process. In a cross-sectional study, women with breast cancer were retrospectively administered the Control Preferences Scale and the Information-Seeking Experience Scale. The Chi-Square test was used to compare differences among individual variables in decision-making roles and information-seeking experiences. Logistic regression analysis was used to explore the factors that influenced taking a more active role than the preferred role. One hundred and four patients with breast cancer participated in the investigation. Eighty-five patients (78%) perceived themselves as having knowledge of breast cancer and most patients (92%) sought information on breast cancer. The preferred roles in decision-making that they reported having before treatment were 18% active, 69% collaborative and 13% passive. The actual roles they perceived having experienced were 27% active, 43% collaborative and 30% passive. Although there was concordance of preferred and actual role for only 59% of the women, most patients reported that they were satisfied with their decision-making. Many women with breast cancer reported negative experiences with information seeking, including wanting more information (49%), expending a lot of effort to obtain the information needed (53%), not having enough time to obtain needed information (55%), frustration during the search for information (44%), concerns about the quality of the information (45%) and difficulty understanding the information received (49%). This study revealed that having a more active actual role than the initial preferred role was associated with emotional expression to the physician, having undergone

meta-analysis of Serum Tumor Markers in Lung Cancer

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Xianfeng LU

2010-12-01

Full Text Available Background and objective The detection of serum tumor markers is of great value for early diagnosis of lung cancer. The aim of this study is to summarize the clinic significance characteristics of serum markers contributing to the detection of lung cancer. Methods References about serum markers of lung cancer were estimated using meta-analysis method. 712 references which included more than 20 cases, 20 controls, the serum markers of 52 832 patients with malignancies and 32 037 patients as controls were evaluated. Results Overall the detection of 13 markers play a significant part in lung cancer diagnosis. The sensitivity of CEA, CA125, CYFRA21-1, TPA, SCCAg, DKK1, NSE, ProGRP in the patients’ serum with lung cancer were 47.50%, 50.11%, 57.00%, 50.93%, 49.00%, 69.50%, 39.73%, 51.48% and the specificity were 92.34%, 80.19%, 90.16%, 88.41%, 91.07%, 92.20%, 89.11%, 94.89%. In the combined analysis of tumor markers: the sensitivity, specificity of NSE+ProGRP were 88.90% and 72.82% in diagnosis of small cell lung cancer, respectively. In diagnosis of squamous corcinoma, the sensitivity and specificity of TSGF+SCCAg+CYFRA21-1 were 95.30% and 74.20%. The the sensitivity and specificity of CA153+Ferrtin+CEA were 91.90% and 44.00% in diagnosis of lung cancer. Conclusion Although the assay of tumor markers in serum is useful for diagnosis of early lung cancer, the sensitivity and specificity are low. Combined detection of these tumor markers could increase sensitivity and specificity.

CMS Collaboration

International Nuclear Information System (INIS)

Faridah Mohammad Idris; Wan Ahmad Tajuddin Wan Abdullah; Zainol Abidin Ibrahim

2013-01-01

Full-text: CMS Collaboration is an international scientific collaboration located at European Organization for Nuclear Research (CERN), Switzerland, dedicated in carried out research on experimental particle physics. Consisting of 179 institutions from 41 countries from all around the word, CMS Collaboration host a general purpose detector for example the Compact Muon Solenoid (CMS) for members in CMS Collaboration to conduct experiment from the collision of two proton beams accelerated to a speed of 8 TeV in the LHC ring. In this paper, we described how the CMS detector is used by the scientist in CMS Collaboration to reconstruct the most basic building of matter. (author)

Comprehensive Analysis of Cancer-Proteogenome to Identify Biomarkers for the Early Diagnosis and Prognosis of Cancer

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Hem D. Shukla

2017-10-01

Full Text Available During the past century, our understanding of cancer diagnosis and treatment has been based on a monogenic approach, and as a consequence our knowledge of the clinical genetic underpinnings of cancer is incomplete. Since the completion of the human genome in 2003, it has steered us into therapeutic target discovery, enabling us to mine the genome using cutting edge proteogenomics tools. A number of novel and promising cancer targets have emerged from the genome project for diagnostics, therapeutics, and prognostic markers, which are being used to monitor response to cancer treatment. The heterogeneous nature of cancer has hindered progress in understanding the underlying mechanisms that lead to abnormal cellular growth. Since, the start of The Cancer Genome Atlas (TCGA, and the International Genome consortium projects, there has been tremendous progress in genome sequencing and immense numbers of cancer genomes have been completed, and this approach has transformed our understanding of the diagnosis and treatment of different types of cancers. By employing Genomics and proteomics technologies, an immense amount of genomic data is being generated on clinical tumors, which has transformed the cancer landscape and has the potential to transform cancer diagnosis and prognosis. A complete molecular view of the cancer landscape is necessary for understanding the underlying mechanisms of cancer initiation to improve diagnosis and prognosis, which ultimately will lead to personalized treatment. Interestingly, cancer proteome analysis has also allowed us to identify biomarkers to monitor drug and radiation resistance in patients undergoing cancer treatment. Further, TCGA-funded studies have allowed for the genomic and transcriptomic characterization of targeted cancers, this analysis aiding the development of targeted therapies for highly lethal malignancy. High-throughput technologies, such as complete proteome, epigenome, protein–protein interaction

Network Structure, Collaborative Context, and Individual Creativity

DEFF Research Database (Denmark)

Soda, Giuseppe; Stea, Diego; Pedersen, Torben

2017-01-01

The debate on whether bonding or bridging ties are more beneficial for acquiring knowledge that is conducive to individual creativity has mostly overlooked the context in which such ties are formed. We challenge the widespread assumption that closed, heavily bonded networks imply a collaborative...... attitude on the part of the embedded actors and propose that the level of collaboration in a network can be independent from that network’s structural characteristics, such that it moderates the effects of closed and brokering network positions on the acquisition of knowledge that supports creativity....... Individuals embedded in closed networks acquire more knowledge and become more creative when the level of collaboration in their network is high. Brokers who arbitrage information across disconnected contacts acquire more knowledge and become more creative when collaboration is low. An analysis of employee...

Tubal ligation and risk of ovarian cancer subtypes

DEFF Research Database (Denmark)

Sieh, Weiva; Salvador, Shannon; McGuire, Valerie

2013-01-01

Tubal ligation is a protective factor for ovarian cancer, but it is unknown whether this protection extends to all invasive histological subtypes or borderline tumors. We undertook an international collaborative study to examine the association between tubal ligation and ovarian cancer subtypes....

The effect of XPD polymorphisms on digestive tract cancers risk: a meta-analysis.

Science.gov (United States)

Du, Haina; Guo, Nannan; Shi, Bin; Zhang, Qian; Chen, Zhipeng; Lu, Kai; Shu, Yongqian; Chen, Tao; Zhu, Lingjun

2014-01-01

The Xeroderma pigmento-sum group D gene (XPD) plays a key role in nucleotide excision repair. Single nucleotide polymorphisms (SNP) located in its functional region may alter DNA repair capacity phenotype and cancer risk. Many studies have demonstrated that XPD polymorphisms are significantly associated with digestive tract cancers risk, but the results are inconsistent. We conducted a comprehensive meta-analysis to assess the association between XPD Lys751Gln polymorphism and digestive tract cancers risk. The digestive tract cancers that our study referred to, includes oral cancer, esophageal cancer, gastric cancer and colorectal cancer. We searched PubMed and EmBase up to December 31, 2012 to identify eligible studies. A total of 37 case-control studies including 9027 cases and 16072 controls were involved in this meta-analysis. Statistical analyses were performed with Stata software (version 11.0, USA). Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of the association. The results showed that XPD Lys751Gln polymorphism was associated with the increased risk of digestive tract cancers (homozygote comparison (GlnGln vs. LysLys): OR = 1.12, 95% CI = 1.01-1.24, P = 0.029, P heterogeneity = 0.133). We found no statistical evidence for a significantly increased digestive tract cancers risk in the other genetic models. In the subgroup analysis, we also found the homozygote comparison increased the susceptibility of Asian population (OR = 1.28, 95% CI = 1.01-1.63, P = 0.045, P heterogeneity = 0.287). Stratified by cancer type and source of control, no significantly increased cancer risk was found in these subgroups. Additionally, risk estimates from hospital-based studies and esophageal studies were heterogeneous. Our meta-analysis suggested that the XPD 751Gln/Gln genotype was a low-penetrate risk factor for developing digestive tract cancers, especially in Asian populations.

Collaboration in academic medicine: reflections on gender and advancement.

Science.gov (United States)

Carr, Phyllis L; Pololi, Linda; Knight, Sharon; Conrad, Peter

2009-10-01

Collaboration in academic medicine is encouraged, yet no one has studied the environment in which faculty collaborate. The authors investigated how faculty experienced collaboration and the institutional atmosphere for collaboration. In 2007, as part of a qualitative study of faculty in five disparate U.S. medical schools, the authors interviewed 96 medical faculty at different career stages and in diverse specialties, with an oversampling of women, minorities, and generalists, regarding their perceptions and experiences of collaboration in academic medicine. Data analysis was inductive and driven by the grounded theory tradition. Female faculty expressed enthusiasm about the potential and process of collaboration; male faculty were more likely to focus on outcomes. Senior faculty experienced a more collaborative environment than early career faculty, who faced numerous barriers to collaboration: the hierarchy of medical academe, advancement criteria, and the lack of infrastructure supportive of collaboration. Research faculty appreciated shared ideas, knowledge, resources, and the increased productivity that could result from collaboration, but they were acutely aware that advancement requires an independent body of work, which was a major deterrent to collaboration among early career faculty. Academic medicine faculty have differing views on the impact and benefits of collaboration. Early career faculty face concerning obstacles to collaboration. Female faculty seemed more appreciative of the process of collaboration, which may be of importance for transitioning to a more collaborative academic environment. A reevaluation of effective benchmarks for promotion of faculty is warranted to address the often exclusive reliance on individualistic achievement.

Effect of cervical cancer education and provider recommendation for screening on screening rates: A systematic review and meta-analysis.

Directory of Open Access Journals (Sweden)

Jonah Musa

Full Text Available Although cervical cancer is largely preventable through screening, detection and treatment of precancerous abnormalities, it remains one of the top causes of cancer-related morbidity and mortality globally.The objective of this systematic review is to understand the evidence of the effect of cervical cancer education compared to control conditions on cervical cancer screening rates in eligible women population at risk of cervical cancer. We also sought to understand the effect of provider recommendations for screening to eligible women on cervical cancer screening (CCS rates compared to control conditions in eligible women population at risk of cervical cancer.We used the PICO (Problem or Population, Interventions, Comparison and Outcome framework as described in the Cochrane Collaboration Handbook to develop our search strategy. The details of our search strategy has been described in our systematic review protocol published in the International Prospective Register of systematic reviews (PROSPERO. The protocol registration number is CRD42016045605 available at: http://www.crd.york.ac.uk/prospero/display_record.asp?src=trip&ID=CRD42016045605. The search string was used in Pubmed, Embase, Cochrane Systematic Reviews and Cochrane CENTRAL register of controlled trials to retrieve study reports that were screened for inclusion in this review. Our data synthesis and reporting was guided by the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA. We did a qualitative synthesis of evidence and, where appropriate, individual study effects were pooled in meta-analyses using RevMan 5.3 Review Manager. The Higgins I2 was used to assess for heterogeneity in studies pooled together for overall summary effects. We did assessment of risk of bias of individual studies included and assessed risk of publication bias across studies pooled together in meta-analysis by Funnel plot.Out of 3072 study reports screened, 28 articles were found to

Collaborative Consumption

OpenAIRE

Rahbek Gjerdrum Pedersen, Esben; Netter, Sarah

2013-01-01

Purpose: The purpose of this paper is to explore barriers and opportunities for business models based on the ideas of collaborative consumption within the fashion industry. Design/methodology/approach: The analysis is based on a multiple-­‐‑case study of Scandinavian fashion libraries – a new, clothes-­‐‑sharing concept that has emerged as a fashion niche within the last decade. Findings: It is concluded that fashion libraries offers interesting perspectives, e.g. by allow...

Automatic tools for enhancing the collaborative experience in large projects

International Nuclear Information System (INIS)

Bourilkov, D; Rodriquez, J L

2014-01-01

With the explosion of big data in many fields, the efficient management of knowledge about all aspects of the data analysis gains in importance. A key feature of collaboration in large scale projects is keeping a log of what is being done and how - for private use, reuse, and for sharing selected parts with collaborators and peers, often distributed geographically on an increasingly global scale. Even better if the log is automatically created on the fly while the scientist or software developer is working in a habitual way, without the need for extra efforts. This saves time and enables a team to do more with the same resources. The CODESH - COllaborative DEvelopment SHell - and CAVES - Collaborative Analysis Versioning Environment System projects address this problem in a novel way. They build on the concepts of virtual states and transitions to enhance the collaborative experience by providing automatic persistent virtual logbooks. CAVES is designed for sessions of distributed data analysis using the popular ROOT framework, while CODESH generalizes the approach for any type of work on the command line in typical UNIX shells like bash or tcsh. Repositories of sessions can be configured dynamically to record and make available the knowledge accumulated in the course of a scientific or software endeavor. Access can be controlled to define logbooks of private sessions or sessions shared within or between collaborating groups. A typical use case is building working scalable systems for analysis of Petascale volumes of data as encountered in the LHC experiments. Our approach is general enough to find applications in many fields.

Incorporating Brokers within Collaboration Environments

Science.gov (United States)

Rajasekar, A.; Moore, R.; de Torcy, A.

2013-12-01

ONE information catalog, and the GeoBrain broker. Policies have been written that manage transfer of messages between an iRODS message queue and the Advanced Message Queuing Protocol. Examples of these brokering mechanisms will be presented. The DFC collaboration environment serves as the intermediary between community resources and compute grids, enabling reproducible data-driven research. It is possible to create an analysis workflow that retrieves data subsets from a remote server, assemble the required input files, automate the execution of the workflow, automatically track the provenance of the workflow, and share the input files, workflow, and output files. A collaborator can re-execute a shared workflow, compare results, change input files, and re-execute an analysis.

Exercise for cancer cachexia in adults: Executive summary of a Cochrane Collaboration systematic review.

Science.gov (United States)

Grande, Antonio Jose; Silva, Valter; Maddocks, Matthew

2015-09-01

Cancer cachexia is a complex syndrome characterized by an ongoing loss of skeletal muscle mass and progressive functional impairment. A proactive management approach is recommended, including physical exercise to maintain function via modulation of muscle metabolism, insulin sensitivity and levels of inflammation. The review aimed to determine the safety, acceptability and effectiveness of exercise in adults with cancer cachexia. Secondary aims, subject to the data availability, were to compare effectiveness according to the characteristics of the study intervention or population. We sought randomised controlled trials (RCTs) in adults meeting international criteria for cancer cachexia, comparing a programme of exercise as a sole or adjunct intervention to usual care or an active control. CENTRAL, MEDLINE, EMBASE, DARE and HTA, ISI Web of Science, LILACS, PEDro, SciVerse SCOPUS, Biosis Previews PreMEDLINE and Open Grey databases were searched up to June 2014. Two authors independently assessed studies for eligibility. We screened 3154 separate titles and abstracts, and reviewed 16 full-texts. Corresponding authors were contacted to determine if samples met cachexia staging criteria. Most authors did not explore this concept. No trial met review eligibility criteria. We were unable to perform a meta-analysis to determine any effects from exercise intervention. Despite a strong rationale for the use of exercise, there is insufficient evidence to determine safety and effectiveness in patients with cancer cachexia. Findings from ongoing studies are awaited. Assessment of cachexia domains, ideally against international criteria, is required for future trials of exercise and supportive care interventions.

Aerospace Systems Design in NASA's Collaborative Engineering Environment

Science.gov (United States)

Monell, Donald W.; Piland, William M.

1999-01-01

Past designs of complex aerospace systems involved an environment consisting of collocated design teams with project managers, technical discipline experts, and other experts (e.g. manufacturing and systems operations). These experts were generally qualified only on the basis of past design experience and typically had access to a limited set of integrated analysis tools. These environments provided less than desirable design fidelity, often lead to the inability of assessing critical programmatic and technical issues (e.g., cost risk, technical impacts), and generally derived a design that was not necessarily optimized across the entire system. The continually changing, modern aerospace industry demands systems design processes that involve the best talent available (no matter where it resides) and access to the best design and analysis tools. A solution to these demands involves a design environment referred to as collaborative engineering. The collaborative engineering environment evolving within the National Aeronautics and Space Administration (NASA) is a capability that enables the Agency's engineering infrastructure to interact and use the best state-of-the-art tools and data across organizational boundaries. Using collaborative engineering, the collocated team is replaced with an interactive team structure where the team members are geographically distributed and the best engineering talent can be applied to the design effort regardless of physical location. In addition, a more efficient, higher quality design product is delivered by bringing together the best engineering talent with more up-to-date design and analysis tools. These tools are focused on interactive, multidisciplinary design and analysis with emphasis on the complete life cycle of the system, and they include nontraditional, integrated tools for life cycle cost estimation and risk assessment. NASA has made substantial progress during the last two years in developing a collaborative

Aerospace Systems Design in NASA's Collaborative Engineering Environment

Science.gov (United States)

Monell, Donald W.; Piland, William M.

2000-07-01

Past designs of complex aerospace systems involved an environment consisting of collocated design teams with project managers, technical discipline experts, and other experts (e.g., manufacturing and systems operations). These experts were generally qualified only on the basis of past design experience and typically had access to a limited set of integrated analysis tools. These environments provided less than desirable design fidelity, often led to the inability of assessing critical programmatic and technical issues (e.g., cost, risk, technical impacts), and generally derived a design that was not necessarily optimized across the entire system. The continually changing, modern aerospace industry demands systems design processes that involve the best talent available (no matter where it resides) and access to the best design and analysis tools. A solution to these demands involves a design environment referred to as collaborative engineering. The collaborative engineering environment evolving within the National Aeronautics and Space Administration (NASA) is a capability that enables the Agency's engineering infrastructure to interact and use the best state-of-the-art tools and data across organizational boundaries. Using collaborative engineering, the collocated team is replaced with an interactive team structure where the team members are geographically distributed and the best engineering talent can be applied to the design effort regardless of physical location. In addition, a more efficient, higher quality design product is delivered by bringing together the best engineering talent with more up-to-date design and analysis tools. These tools are focused on interactive, multidisciplinary design and analysis with emphasis on the complete life cycle of the system, and they include nontraditional, integrated tools for life cycle cost estimation and risk assessment. NASA has made substantial progress during the last two years in developing a collaborative

Calcium Intake and the Risk of Ovarian Cancer: A Meta-Analysis.

Science.gov (United States)

Song, Xingxing; Li, Zongyao; Ji, Xinqiang; Zhang, Dongfeng

2017-06-30

Several epidemiological studies have evaluated the association between calcium intake and the risk of ovarian cancer. However, the results of these studies remain controversial. Thus, we performed a meta-analysis to explore the association between calcium intake and the risk of ovarian cancer. Pubmed, Embase and Web of Science were searched for eligible publications up to April 2017. Pooled relative risks (RRs) with 95% confidence intervals (CIs) were calculated using the random-effects model. Small-study effect was estimated using Egger's test and the funnel plot. Among 15 epidemiological studies involving 493,415 participants and 7453 cases eligible for this meta-analysis, 13 studies were about dietary calcium intake, 4 studies about dairy calcium intake and 7 studies about dietary plus supplemental calcium intake. When comparing the highest with the lowest intake, the pooled RRs of ovarian cancer were 0.80 (95% CI 0.72-0.89) for dietary calcium, 0.80 (95% CI 0.66-0.98) for dairy calcium and 0.90 (95% CI 0.65-1.24) for dietary plus supplemental calcium, respectively. Dietary calcium was significantly associated with a reduced risk of ovarian cancer among cohort studies (RR = 0.86, 95% CI 0.74-0.99) and among case-control studies ( RR = 0.75, 95% CI 0.64-0.89). In subgroup analysis by ovarian cancer subtypes, we found a statistically significant association between the dietary calcium ( RR = 0.78, 95% CI 0.69-0.88) and the risk of epithelial ovarian cancer (EOC). This meta-analysis indicated that increased calcium intake might be inversely associated with the risk of ovarian cancer; this still needs to be confirmed by larger prospective cohort studies.

Insulin glargine and cancer risk in patients with diabetes: a meta-analysis.

Directory of Open Access Journals (Sweden)

Xulei Tang

Full Text Available AIM: The role of insulin glargine as a risk factor for cancer is controversial in human studies. The aim of this meta-analysis was to evaluate the relationship between insulin glargine and cancer incidence. METHODS: All observational studies and randomized controlled trials evaluating the relationship of insulin glargine and cancer risk were identified in PubMed, Embase, Web of Science, Cochrane Library and the Chinese Biomedical Medical Literature Database, through March 2012. Odds ratios (ORs with corresponding 95% confidence interval (CI were calculated with a random-effects model. Confidence in the estimates of the obtained effects (quality of evidence was assessed by using the Grading of Recommendations Assessment, Development, and Evaluation approach. RESULTS: A total of 11 studies including 448,928 study subjects and 19,128 cancer patients were finally identified for the meta-analysis. Insulin glargine use was associated with a lower odds of cancer compared with non-glargine insulin use (OR 0.81, 95% CI 0.68 to 0.98, P = 0.03; very low-quality evidence. Glargine did not increase the odds of breast cancer (OR 0.99, 95% CI 0.68 to 1.46, P = 0.966; very low-quality evidence. Compared with non-glargine insulin, no significant association was found between insulin glargine and prostate cancer, pancreatic cancer and respiratory tract cancer. Insulin glargine use was associated with lower odds of other site-specific cancer. CONCLUSIONS: Results from the meta-analysis don't support the link between insulin glargine and an increased risk of cancer and the confidence in the estimates of the effects is very low. Further studies are needed to examine the relation between insulin glargine and cancer risk, especially breast cancer.

Maternal age and Alzheimer's disease: a collaborative re-analysis of case-control studies. EURODEM Risk Factors Research Group

NARCIS (Netherlands)

W.A. Rocca; C.M. van Duijn (Cornelia); D.G. Clayton (David); V. Chandra; L. Fratiglioni (Laura); A.B. Graves; A. Heyman; A.F. Jorm; E. Kokmen (Emre); K. Kondo; J.A. Mortimer; S.L. Shalat; H. Soininen; A. Hofman (Albert)

1991-01-01

textabstractTo investigate the possible association between Alzheimer's disease and late maternal age at index birth, we conducted a collaborative re-analysis of existing case-control data sets. Of the 11 studies participating in the EURODEM project, four were included in the analyses regarding

RNA/DNA co-analysis from human skin and contact traces – results of a sixth collaborative EDNAP exercise

DEFF Research Database (Denmark)

Haas, C; Hanson, E; Banemann, R

2015-01-01

The European DNA profiling group (EDNAP) organized a sixth collaborative exercise on RNA/DNA co-analysis for body fluid/tissue identification and STR profiling. The task was to identify skin samples/contact traces using specific RNA biomarkers and test three housekeeping genes for their suitabili...

Risk of second non-breast cancer after radiotherapy for breast cancer: A systematic review and meta-analysis of 762,468 patients

International Nuclear Information System (INIS)

Grantzau, Trine; Overgaard, Jens

2015-01-01

Background and purpose: Radiotherapy for breast cancer both decreases loco-regional recurrence rates and improves overall survival. However, radiotherapy has also been associated with increased second cancer risk at exposed sites. In this meta-analysis, we estimated the risk of second non-breast cancers after radiotherapy for breast cancer. Material and methods: The databases Medline/Pubmed, Cochrane, Embase and Cinahl were systematically searched, for cohort studies on second cancer after radiotherapy for breast cancer, from inception to August 1st 2013. Included studies were to report the relative risk (RR) of second cancers comparing irradiated female breast cancer patients to unirradiated patients. Primary endpoints were all second non-breast-cancers and second cancers of the lung, esophagus, thyroid and second sarcomas. RRs were pooled using random-effects meta-analysis. Results: Thirteen studies comprising 762,468 breast cancer patients were included in the meta-analysis. Five or more years after breast cancer diagnosis radiotherapy was significantly associated with an increased risk of second non-breast cancer RR 1.12 (95% confidence interval [CI] 1.06–1.19), second cancer of the lung RR 1.39 (95% CI 1.28–1.51), esophagus RR 1.53 (95% CI 1.01–2.31) and second sarcomas RR 2.53 (95% CI 1.74–3.70). The risk increased over time, and was highest 15 or more years after breast cancer diagnosis, for second lung RR 1.66 (95% CI 1.36–2.01) and second esophagus cancer RR 2.17 (95% CI 1.11–4.25). There was no significant association between radiotherapy and second thyroid cancer. Conclusions: Radiotherapy for breast cancer is significantly associated with increased risks of second non-breast cancer, overall and in organs adjacent to the previous treatment fields. Despite a relative small absolute risk, the growing number of long-time survivors after breast cancer warrants the need for normal tissue sparing radiotherapy techniques

Human Papillomavirus Vaccine as an Anti-cancer Vaccine: Collaborative Efforts to Promote HPV Vaccine in the National Comprehensive Cancer Control Program

Science.gov (United States)

Townsend, Julie S.; Steele, C. Brooke; Hayes, Nikki; Bhatt, Achal; Moore, Angela R.

2018-01-01

Background Widespread use of the HPV vaccine has the potential to reduce incidence from HPV-associated cancers. However, vaccine uptake among adolescents remains well below the Healthy People 2020 targets. The Centers for Disease Control and Prevention (CDC)’s National Comprehensive Cancer Control Program awardees (NCCCP) are well positioned to work with immunization programs to increase vaccine uptake. Methods CDC’s chronic disease management information system was queried for objectives and activities associated with HPV vaccine that were reported by NCCCP awardees from 2013 – 2016 as part of program reporting requirements. A content analysis was conducted on the query results to categorize interventions according to strategies outlined in The Guide to Community Preventive Services and the 2014 President’s Cancer Panel report. Results Sixty-two percent of NCCCP awardees had planned or implemented at least one activity since 2013 to address low HPV vaccination coverage in their jurisdictions. Most NCCCP awardees (86%) reported community education activities, while 65% reported activities associated with provider education. Systems-based strategies such as client reminders or provider assessment and feedback were each reported by less than 25% of NCCCP awardees. Conclusion Many NCCCP awardees report planning or implementing activities to address low HPV vaccination coverage, often in conjunction with state immunization programs. NCCCP awardees can play a role in increasing HPV vaccination coverage through their cancer prevention and control expertise and access to partners in the health care community. PMID:28263672

Resource-stratified implementation of a community-based breast cancer management programme in Peru.

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Duggan, Catherine; Dvaladze, Allison L; Tsu, Vivien; Jeronimo, Jose; Constant, Tara K Hayes; Romanoff, Anya; Scheel, John R; Patel, Shilpen; Gralow, Julie R; Anderson, Benjamin O

2017-10-01

Breast cancer incidence and mortality rates continue to rise in Peru, with related deaths projected to increase from 1208 in 2012, to 2054 in 2030. Despite improvements in national cancer control plans, various barriers to positive breast cancer outcomes remain. Multiorganisational stakeholder collaboration is needed for the development of functional, sustainable early diagnosis, treatment and supportive care programmes with the potential to achieve measurable outcomes. In 2011, PATH, the Peruvian Ministry of Health, the National Cancer Institute in Lima, and the Regional Cancer Institute in Trujillo collaborated to establish the Community-based Program for Breast Health, the aim of which was to improve breast health-care delivery in Peru. A four-step, resource-stratified implementation strategy was used to establish an effective community-based triage programme and a practical early diagnosis scheme within existing multilevel health-care infrastructure. The phased implementation model was initially developed by the Breast Cancer Initiative 2·5: a group of health and non-governmental organisations who collaborate to improve breast cancer outcomes. To date, the Community-based Program for Breast Health has successfully implemented steps 1, 2, and 3 of the Breast Cancer Initiative 2·5 model in Peru, with reports of increased awareness of breast cancer among women, improved capacity for early diagnosis among health workers, and the creation of stronger and more functional linkages between the primary levels (ie, local or community) and higher levels (ie, district, region, and national) of health care. The Community-based Program for Breast Health is a successful example of stakeholder and collaborator involvement-both internal and external to Peru-in the design and implementation of resource-appropriate interventions to increase breast health-care capacity in a middle-income Latin American country. Copyright © 2017 Elsevier Ltd. All rights reserved.

Towards optimised information about clinical trials; identification and validation of key issues in collaboration with cancer patient advocates.

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Dellson, P; Nilbert, M; Bendahl, P-O; Malmström, P; Carlsson, C

2011-07-01

Clinical trials are crucial to improve cancer treatment but recruitment is difficult. Optimised patient information has been recognised as a key issue. In line with the increasing focus on patients' perspectives in health care, we aimed to study patients' opinions about the written information used in three clinical trials for breast cancer. Primary data collection was done in focus group interviews with breast cancer patient advocates. Content analysis identified three major themes: comprehensibility, emotions and associations, and decision making. Based on the advocates' suggestions for improvements, 21 key issues were defined and validated through a questionnaire in an independent group of breast cancer patient advocates. Clear messages, emotionally neutral expressions, careful descriptions of side effects, clear comparisons between different treatment alternatives and information about the possibility to discontinue treatment were perceived as the most important issues. Patients' views of the information in clinical trials provide new insights and identify key issues to consider in optimising future written information and may improve recruitment to clinical cancer trials. © 2010 Blackwell Publishing Ltd.

Use of activity logs to improve online collaboration

Directory of Open Access Journals (Sweden)

César Coll Salvador

2018-02-01

Full Text Available This article presents a review of works that center their interest in eLearning platforms and the data mining of participants’ activity. The studies in this research area generate information, through the analysis of such logs and data, that is provided to the students in real time to help them to collaborate and learn through collaboration on the platform. There are studies from different areas of study such as Learning Analytics, Educational Data Mining, Group Awareness Tools or Interaction Analysis Tools. The review takes a double perspective: i to analyze the data extracted from activity logs, their processing, the information generated and the ways to communicate it; and ii to explorer the model and the instruments used to assess how the information provided impact on online collaborative processes and/or the learning. The conclusions emphasize that the models of collaborative learning that justifies the selection of the data extracted from the activity logs, the processing, the information generated and provided to the students and the way of communicating it, are not explicitly stated. In addition, important biases are detected because of not considering the multidimensional nature of the collaborative learning processes. Also, few studies analyze the relations between students' uses of the information provided and the quality of their collaborative processes and learning results. The very few studies that do analyze such relation do not go into depth on the changes in group dynamics caused by information.

Integrated analysis of HPV-mediated immune alterations in cervical cancer.

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Chen, Long; Luan, Shaohong; Xia, Baoguo; Liu, Yansheng; Gao, Yuan; Yu, Hongyan; Mu, Qingling; Zhang, Ping; Zhang, Weina; Zhang, Shengmiao; Wei, Guopeng; Yang, Min; Li, Ke

2018-05-01

Human papillomavirus (HPV) infection is the primary cause of cervical cancer. HPV-mediated immune alterations are known to play crucial roles in determining viral persistence and host cell transformation. We sought to thoroughly understand HPV-directed immune alterations in cervical cancer by exploring publically available datasets. 130 HPV positive and 7 HPV negative cervical cancer cases from The Cancer Genome Atlas were compared for differences in gene expression levels and functional enrichment. Analyses for copy number variation (CNV) and genetic mutation were conducted for differentially expressed immune genes. Kaplan-Meier analysis was performed to assess survival and relapse differences across cases with or without alterations of the identified immune signature genes. Genes up-regulated in HPV positive cervical cancer were enriched for various gene ontology terms of immune processes (P=1.05E-14~1.00E-05). Integrated analysis of the differentially expressed immune genes identified 9 genes that displayed either CNV, genetic mutation and/or gene expression changes in at least 10% of the cases of HPV positive cervical cancer. Genomic amplification may cause elevated levels of these genes in some HPV positive cases. Finally, patients with alterations in at least one of the nine signature genes overall had earlier relapse compared to those without any alterations. The altered expression of either TFRC or MMP13 may indicate poor survival for a subset of cervical cancer patients (P=1.07E-07). We identified a novel immune gene signature for HPV positive cervical cancer that is potentially associated with early relapse of cervical cancer. Copyright © 2018. Published by Elsevier Inc.

The Classroom as Stage: Impression Management in Collaborative Teaching

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Preves, Sharon; Stephenson, Denise

2009-01-01

This article explores the social-psychological process of identity negotiation in collaborative teaching, using Erving Goffman's (1959) theoretical tradition of dramaturgy to analyze the classroom itself as a performance venue. A dramaturgical analysis of collaborative teaching is especially significant given this growing pedagogical trend because…

Next-generation sequence analysis of cancer xenograft models.

Directory of Open Access Journals (Sweden)

Fernando J Rossello

Full Text Available Next-generation sequencing (NGS studies in cancer are limited by the amount, quality and purity of tissue samples. In this situation, primary xenografts have proven useful preclinical models. However, the presence of mouse-derived stromal cells represents a technical challenge to their use in NGS studies. We examined this problem in an established primary xenograft model of small cell lung cancer (SCLC, a malignancy often diagnosed from small biopsy or needle aspirate samples. Using an in silico strategy that assign reads according to species-of-origin, we prospectively compared NGS data from primary xenograft models with matched cell lines and with published datasets. We show here that low-coverage whole-genome analysis demonstrated remarkable concordance between published genome data and internal controls, despite the presence of mouse genomic DNA. Exome capture sequencing revealed that this enrichment procedure was highly species-specific, with less than 4% of reads aligning to the mouse genome. Human-specific expression profiling with RNA-Seq replicated array-based gene expression experiments, whereas mouse-specific transcript profiles correlated with published datasets from human cancer stroma. We conclude that primary xenografts represent a useful platform for complex NGS analysis in cancer research for tumours with limited sample resources, or those with prominent stromal cell populations.

Body image disturbance in adults treated for cancer - a concept analysis.

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Rhoten, Bethany A

2016-05-01

To report an analysis of the concept of body image disturbance in adults who have been treated for cancer as a phenomenon of interest to nurses. Although the concept of body image disturbance has been clearly defined in adolescents and adults with eating disorders, adults who have been treated for cancer may also experience body image disturbance. In this context, the concept of body image disturbance has not been clearly defined. Concept analysis. PubMed, Psychological Information Database and Cumulative Index of Nursing and Allied Health Literature were searched for publications from 1937 - 2015. Search terms included body image, cancer, body image disturbance, adult and concept analysis. Walker and Avant's 8-step method of concept analysis was used. The defining attributes of body image disturbance in adults who have been treated for cancer are: (1) self-perception of a change in appearance and displeasure with the change or perceived change in appearance; (2) decline in an area of function; and (3) psychological distress regarding changes in appearance and/or function. This concept analysis provides a foundation for the development of multidimensional assessment tools and interventions to alleviate body image disturbance in this population. A better understanding of body image disturbance in adults treated for cancer will assist nurses and other clinicians in identifying this phenomenon and nurse scientists in developing instruments that accurately measure this condition, along with interventions that will promote a better quality of life for survivors. © 2016 John Wiley & Sons Ltd.

Genomic analysis and selected molecular pathways in rare cancers

International Nuclear Information System (INIS)

Liu, Stephen V; Lenkiewicz, Elizabeth; Evers, Lisa; Holley, Tara; Kiefer, Jeffrey; Demeure, Michael J; Ramanathan, Ramesh K; Von Hoff, Daniel D; Barrett, Michael T; Ruiz, Christian; Glatz, Katharina; Bubendorf, Lukas; Eng, Cathy

2012-01-01

It is widely accepted that many cancers arise as a result of an acquired genomic instability and the subsequent evolution of tumor cells with variable patterns of selected and background aberrations. The presence and behaviors of distinct neoplastic cell populations within a patient's tumor may underlie multiple clinical phenotypes in cancers. A goal of many current cancer genome studies is the identification of recurring selected driver events that can be advanced for the development of personalized therapies. Unfortunately, in the majority of rare tumors, this type of analysis can be particularly challenging. Large series of specimens for analysis are simply not available, allowing recurring patterns to remain hidden. In this paper, we highlight the use of DNA content-based flow sorting to identify and isolate DNA-diploid and DNA-aneuploid populations from tumor biopsies as a strategy to comprehensively study the genomic composition and behaviors of individual cancers in a series of rare solid tumors: intrahepatic cholangiocarcinoma, anal carcinoma, adrenal leiomyosarcoma, and pancreatic neuroendocrine tumors. We propose that the identification of highly selected genomic events in distinct tumor populations within each tumor can identify candidate driver events that can facilitate the development of novel, personalized treatment strategies for patients with cancer. (paper)

Cancer Incidence in Patients with Acromegaly: A cohort study and meta-analysis of the literature

DEFF Research Database (Denmark)

Dal, Jakob; Leisner, Michelle Z; Hermansen, Kasper

2018-01-01

-2010) including 529 acromegaly cases was performed. Incident cancer diagnoses and mortality were compared to national rates estimating standardized incidence ratios (SIRs). A meta-analysis of cancer SIRs from 23 studies (including the present one) was performed. Results: The cohort study identified 81 cases...... in acromegaly (SIR 1.3 [95% CI: 1.1-1.6]), cancer-specific mortality was not. The meta-analysis yielded a SIR of overall cancer of 1.5 [95% CI: 1.2-1.8]. SIRs were elevated for colorectal cancer: 2.6 [95% CI: 1.7-4.0], thyroid cancer: 9.2 [95% CI: 4.2-19.9], breast cancer: 1.6 [1.1-2.3], gastric cancer: 2.0 [95......% CI: 1.4-2.9], and urinary tract cancer: 1.5 [95% CI: 1.0-2.3]). In general, cancer SIR was higher in single-center studies and in studies with meta-analysis...

Protein expression based multimarker analysis of breast cancer samples

International Nuclear Information System (INIS)

Presson, Angela P; Horvath, Steve; Yoon, Nam K; Bagryanova, Lora; Mah, Vei; Alavi, Mohammad; Maresh, Erin L; Rajasekaran, Ayyappan K; Goodglick, Lee; Chia, David

2011-01-01

Tissue microarray (TMA) data are commonly used to validate the prognostic accuracy of tumor markers. For example, breast cancer TMA data have led to the identification of several promising prognostic markers of survival time. Several studies have shown that TMA data can also be used to cluster patients into clinically distinct groups. Here we use breast cancer TMA data to cluster patients into distinct prognostic groups. We apply weighted correlation network analysis (WGCNA) to TMA data consisting of 26 putative tumor biomarkers measured on 82 breast cancer patients. Based on this analysis we identify three groups of patients with low (5.4%), moderate (22%) and high (50%) mortality rates, respectively. We then develop a simple threshold rule using a subset of three markers (p53, Na-KATPase-β1, and TGF β receptor II) that can approximately define these mortality groups. We compare the results of this correlation network analysis with results from a standard Cox regression analysis. We find that the rule-based grouping variable (referred to as WGCNA*) is an independent predictor of survival time. While WGCNA* is based on protein measurements (TMA data), it validated in two independent Affymetrix microarray gene expression data (which measure mRNA abundance). We find that the WGCNA patient groups differed by 35% from mortality groups defined by a more conventional stepwise Cox regression analysis approach. We show that correlation network methods, which are primarily used to analyze the relationships between gene products, are also useful for analyzing the relationships between patients and for defining distinct patient groups based on TMA data. We identify a rule based on three tumor markers for predicting breast cancer survival outcomes

Identification of Genetic Susceptibility to Childhood Cancer through Analysis of Genes in Parallel

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Plon, Sharon E.; Wheeler, David A.; Strong, Louise C.; Tomlinson, Gail E.; Pirics, Michael; Meng, Qingchang; Cheung, Hannah C.; Begin, Phyllis R.; Muzny, Donna M.; Lewis, Lora; Biegel, Jaclyn A.; Gibbs, Richard A.

2011-01-01

Clinical cancer genetic susceptibility analysis typically proceeds sequentially beginning with the most likely causative gene. The process is time consuming and the yield is low particularly for families with unusual patterns of cancer. We determined the results of in parallel mutation analysis of a large cancer-associated gene panel. We performed deletion analysis and sequenced the coding regions of 45 genes (8 oncogenes and 37 tumor suppressor or DNA repair genes) in 48 childhood cancer patients who also (1) were diagnosed with a second malignancy under age 30, (2) have a sibling diagnosed with cancer under age 30 and/or (3) have a major congenital anomaly or developmental delay. Deleterious mutations were identified in 6 of 48 (13%) families, 4 of which met the sibling criteria. Mutations were identified in genes previously implicated in both dominant and recessive childhood syndromes including SMARCB1, PMS2, and TP53. No pathogenic deletions were identified. This approach has provided efficient identification of childhood cancer susceptibility mutations and will have greater utility as additional cancer susceptibility genes are identified. Integrating parallel analysis of large gene panels into clinical testing will speed results and increase diagnostic yield. The failure to detect mutations in 87% of families highlights that a number of childhood cancer susceptibility genes remain to be discovered. PMID:21356188

Does fertility treatment increase the risk of uterine cancer? A meta-analysis.

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Saso, Srdjan; Louis, Louay S; Doctor, Farah; Hamed, Ali Hassan; Chatterjee, Jayanta; Yazbek, Joseph; Bora, Shabana; Abdalla, Hossam; Ghaem-Maghami, Sadaf; Thum, Meen-Yau

2015-12-01

An ongoing debate over the last two decades has focused on whether fertility treatment in women may lead to an increased risk of developing uterine cancer over a period of time. Uterine cancer (including mainly endometrial carcinoma and the less common uterine sarcoma) is the commonest reproductive tract cancer and the fourth commonest cancer in women in the UK. Our objective was to assess the association between fertility drugs used in the treatment of female infertility (both as an independent therapy and during in vitro fertilization cycles) and the development of uterine cancer. A literature search was performed using Medline, Embase, Cochrane Library and Google Scholar databases for comparative studies until December 2014 to investigate a clinical significance of fertility treatment on the incidence of developing uterine cancer. General and MESH search headings, as well as the 'related articles' function were applied. All comparative studies of 'fertility treatment' versus 'non-fertility treatment' reporting the incidence of uterine cancer as an outcome were included. Uterine cancer incorporated the following terms: uterine cancer, uterine body tumours, uterine sarcomas and endometrial cancers. The primary outcome of interest was the uterine cancer incidence in all 'fertility treatment' versus 'non-fertility treatment' patient groups. Secondary outcomes of interest were: (a) uterine cancer incidence in 'IVF' versus 'non-IVF' patient groups; and (b) uterine cancer incidence according to type of fertility drug used. Odds ratio was the summary statistic. Random-effects modelling, graphical exploration and sensitivity analysis were used to evaluate the consistency of the calculated treatment effect. We included six studies in our final analysis, which comprised 776,224 patients in total. Of these, 103,758 had undergone fertility treatment and 672,466 had not. There was 100% agreement between the two reviewers regarding the data extraction. All the studies

Collaborative regression-based anatomical landmark detection

International Nuclear Information System (INIS)

Gao, Yaozong; Shen, Dinggang

2015-01-01

Anatomical landmark detection plays an important role in medical image analysis, e.g. for registration, segmentation and quantitative analysis. Among the various existing methods for landmark detection, regression-based methods have recently attracted much attention due to their robustness and efficiency. In these methods, landmarks are localised through voting from all image voxels, which is completely different from the classification-based methods that use voxel-wise classification to detect landmarks. Despite their robustness, the accuracy of regression-based landmark detection methods is often limited due to (1) the inclusion of uninformative image voxels in the voting procedure, and (2) the lack of effective ways to incorporate inter-landmark spatial dependency into the detection step. In this paper, we propose a collaborative landmark detection framework to address these limitations. The concept of collaboration is reflected in two aspects. (1) Multi-resolution collaboration. A multi-resolution strategy is proposed to hierarchically localise landmarks by gradually excluding uninformative votes from faraway voxels. Moreover, for informative voxels near the landmark, a spherical sampling strategy is also designed at the training stage to improve their prediction accuracy. (2) Inter-landmark collaboration. A confidence-based landmark detection strategy is proposed to improve the detection accuracy of ‘difficult-to-detect’ landmarks by using spatial guidance from ‘easy-to-detect’ landmarks. To evaluate our method, we conducted experiments extensively on three datasets for detecting prostate landmarks and head and neck landmarks in computed tomography images, and also dental landmarks in cone beam computed tomography images. The results show the effectiveness of our collaborative landmark detection framework in improving landmark detection accuracy, compared to other state-of-the-art methods. (paper)

Enhanced recovery programs in lung cancer surgery: systematic review and meta-analysis of randomized controlled trials

Directory of Open Access Journals (Sweden)

Li S

2017-11-01

Full Text Available Shuangjiang Li,1 Kun Zhou,1 Guowei Che,1 Mei Yang,1 Jianhua Su,2 Cheng Shen,1 Pengming Yu2 1Department of Thoracic Surgery, 2Department of Rehabilitation, Rehabilitation Medicine Center, West China Hospital, Sichuan University, Chengdu, China Background: Enhanced recovery after surgery (ERAS program is an effective evidence-based multidisciplinary protocol of perioperative care, but its roles in thoracic surgery remain unclear. This systematic review of randomized controlled trials (RCTs aims to investigate the efficacy and safety of the ERAS programs for lung cancer surgery. Materials and methods: We searched the PubMed and EMBASE databases to identify the RCTs that implemented an ERAS program encompassing more than four care elements within at least two phases of perioperative care in lung cancer surgery. The heterogeneity levels between studies were estimated by the Cochrane Collaborations. A qualitative review was performed if considerable heterogeneity was revealed. Relative risk (RR and weighted mean difference served as the summarized statistics for the meta-analyses. Additional analyses were also performed to perceive potential bias risks. Results: A total of seven RCTs enrolling 486 patients were included. The meta-analysis indicated that the ERAS group patients had significantly lower morbidity rates (RR=0.64; p<0.001, especially the rates of pulmonary (RR=0.43; p<0.001 and surgical complications (RR=0.46; p=0.010, than those of control group patients. No significant reduction was found in the in-hospital mortality (RR=0.70; p=0.58 or cardiovascular complications (RR=1.46; p=0.25. In the qualitative review, most of the evidence reported significantly shortened length of hospital and intensive care unit stay and decreased hospitalization costs in the ERAS-treated patients. No significant publication bias was detected in the meta-analyses. Conclusion: Our review demonstrates that the implementation of an ERAS program for lung cancer

A Cross-Cancer Genetic Association Analysis of the DNA Repair and DNA Damage Signaling Pathways for Lung, Ovary, Prostate, Breast, and Colorectal Cancer.

Science.gov (United States)

Scarbrough, Peter M; Weber, Rachel Palmieri; Iversen, Edwin S; Brhane, Yonathan; Amos, Christopher I; Kraft, Peter; Hung, Rayjean J; Sellers, Thomas A; Witte, John S; Pharoah, Paul; Henderson, Brian E; Gruber, Stephen B; Hunter, David J; Garber, Judy E; Joshi, Amit D; McDonnell, Kevin; Easton, Doug F; Eeles, Ros; Kote-Jarai, Zsofia; Muir, Kenneth; Doherty, Jennifer A; Schildkraut, Joellen M

2016-01-01

DNA damage is an established mediator of carcinogenesis, although genome-wide association studies (GWAS) have identified few significant loci. This cross-cancer site, pooled analysis was performed to increase the power to detect common variants of DNA repair genes associated with cancer susceptibility. We conducted a cross-cancer analysis of 60,297 single nucleotide polymorphisms, at 229 DNA repair gene regions, using data from the NCI Genetic Associations and Mechanisms in Oncology (GAME-ON) Network. Our analysis included data from 32 GWAS and 48,734 controls and 51,537 cases across five cancer sites (breast, colon, lung, ovary, and prostate). Because of the unavailability of individual data, data were analyzed at the aggregate level. Meta-analysis was performed using the Association analysis for SubSETs (ASSET) software. To test for genetic associations that might escape individual variant testing due to small effect sizes, pathway analysis of eight DNA repair pathways was performed using hierarchical modeling. We identified three susceptibility DNA repair genes, RAD51B (P cancer risk in the base excision repair, nucleotide excision repair, mismatch repair, and homologous recombination pathways. Only three susceptibility loci were identified, which had all been previously reported. In contrast, hierarchical modeling identified several pleiotropic cancer risk associations in key DNA repair pathways. Results suggest that many common variants in DNA repair genes are likely associated with cancer susceptibility through small effect sizes that do not meet stringent significance testing criteria. ©2015 American Association for Cancer Research.

Meta-Analysis of the Association between Mir-196a-2 Polymorphism and Cancer Susceptibility

International Nuclear Information System (INIS)

Zhang, Huan; Su, Yu-liang; Yu, Herbert; Qian, Bi-yun

2012-01-01

MicroRNA plays a vital role in gene expression, and microRNA dysregulation is involved in carcinogenesis. The miR-196a-2 polymorphism rs11614913 is reportedly associated with cancer susceptibility. This meta-analysis was performed to assess the overall association of miR-196a-2 with cancer risk. A total of 27 independent case-control studies involving 10,435 cases and 12,075 controls were analyzed for the rs11614913 polymorphism. A significant association was found between rs11614913 polymorphism and cancer risk in four genetic models (CT vs. TT, OR=1.15, 95%CI=1.05–1.27; CC vs. TT, OR=1.23, 95%CI=1.08–1.39; Dominant model, OR=1.17, 95%CI=1.06–1.30; Additive model, OR=1.08, 95%CI=1.01–1.14). In the subgroup analysis of different tumor types, the C allele was associated with increased risk of lung, breast, and colorectal cancer, but not with liver, gastric, or esophageal cancer. In the subgroup analysis by ethnicity, a significantly increased risk of cancer was found among Asians in all genetic models, but no associations were found in the Caucasian subgroup. The meta-analysis demonstrated that the miR-196a-2 polymorphism is associated with cancer susceptibility, especially lung cancer, colorectal cancer, and breast cancer among Asian populations

Survival and Complications Following Surgery and Radiation for Localized Prostate Cancer: An International Collaborative Review.

Science.gov (United States)

Wallis, Christopher J D; Glaser, Adam; Hu, Jim C; Huland, Hartwig; Lawrentschuk, Nathan; Moon, Daniel; Murphy, Declan G; Nguyen, Paul L; Resnick, Matthew J; Nam, Robert K

2018-01-01

Evaluation of treatment options for localized prostate cancer (PCa) remains among the highest priorities for comparative effectiveness research. Surgery and radiotherapy (RT) are the two interventions most commonly used. To provide a critical narrative review of evidence of the comparative effectiveness and harms of surgery and RT in the treatment of localized PCa. A collaborative critical narrative review of the literature was conducted. Evidence to clearly guide treatment choice in PCa remains insufficient. Randomized trials are underpowered for clinically meaningful endpoints and have demonstrated no difference in overall or PCa-specific survival. Observational studies have consistently demonstrated an absolute survival benefit for men treated with radical prostatectomy, but are limited by selection bias and residual confounding errors. Surgery and RT are associated with comparable health-related quality of life following treatment in three randomized trials. Randomized data regarding urinary, erectile, and bowel function show few long-term (>5 yr) differences, although short-term continence and erectile function were worse following surgery and short-term urinary bother and bowel function were worse following RT. There has been recent recognition of other complications that may significantly affect the life trajectory of those undergoing PCa treatment. Of these, hospitalization, the need for urologic, rectoanal, and other major surgical procedures, and secondary cancers are more common among men treated with RT. Androgen deprivation therapy, frequently co-administered with RT, may additionally contribute to treatment-related morbidity. Technological innovations in surgery and RT have shown inconsistent oncologic and functional benefits. Owing to underpowered randomized control studies and the selection biases inherent in observational studies, the question of which treatment provides better PCa control cannot be definitively answered now or in the near future

Setting Research Priorities for Kidney Cancer.

Science.gov (United States)

Jones, Jennifer M; Bhatt, Jaimin; Avery, Jonathan; Laupacis, Andreas; Cowan, Katherine; Basappa, Naveen S; Basiuk, Joan; Canil, Christina; Al-Asaaed, Sohaib; Heng, Daniel Y C; Wood, Lori; Stacey, Dawn; Kollmannsberger, Christian; Jewett, Michael A S

2017-12-01

Defining disease-specific research priorities in cancer can facilitate better allocation of limited resources. Involving patients and caregivers as well as expert clinicians in this process is of value. We undertook this approach for kidney cancer as an example. The Kidney Cancer Research Network of Canada sponsored a collaborative consensus-based priority-setting partnership that identified ten research priorities in the management of kidney cancer. These are discussed in the context of current initiatives and gaps in knowledge. Copyright © 2017 European Association of Urology. Published by Elsevier B.V. All rights reserved.

The collaborative writing in @Elhombredetweed. A pragmatic analysis for the digital literature studies

Directory of Open Access Journals (Sweden)

Luis Felipe González Gutiérrez

2018-05-01

Full Text Available This article discusses the preliminary results of the analysis of the Twitter account @Elhombredetweed account, from the contributions of digital literature, specifically on digital poetry studies, social construccionism and cultural psychology. From these results indicates the importance of the collaborative writing in the actual studies in the digital humanities, especially in the digital literature field. The methodology of the study is centered in poetic research, like a qualitative approach. For the tweets analysis we worked with the social network analysis software Netlytic. The results indicate two stories in the account: the literary story-object of the Mexican writer Mauricio Montiel (account author and the series of projects and narrative sequences of the followers to @Elhombredetweed, which constitutes an example of transmedia narrative and shows the impact of social networks in the collective construction of stories and the formation of digital subjectivities, through the use of ICT as a potential for an online reality.

SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research.

Science.gov (United States)

Yaniv, Ziv; Lowekamp, Bradley C; Johnson, Hans J; Beare, Richard

2018-06-01

Modern scientific endeavors increasingly require team collaborations to construct and interpret complex computational workflows. This work describes an image-analysis environment that supports the use of computational tools that facilitate reproducible research and support scientists with varying levels of software development skills. The Jupyter notebook web application is the basis of an environment that enables flexible, well-documented, and reproducible workflows via literate programming. Image-analysis software development is made accessible to scientists with varying levels of programming experience via the use of the SimpleITK toolkit, a simplified interface to the Insight Segmentation and Registration Toolkit. Additional features of the development environment include user friendly data sharing using online data repositories and a testing framework that facilitates code maintenance. SimpleITK provides a large number of examples illustrating educational and research-oriented image analysis workflows for free download from GitHub under an Apache 2.0 license: github.com/InsightSoftwareConsortium/SimpleITK-Notebooks .

Images, femininity and cancer: an analysis of an international patient education programme.

Science.gov (United States)

Phillips, Catherine

2009-01-01

This article is an analysis of a cancer patient education programme run by cosmetic companies. I focus on an analysis of imagery, arguing that there are particular discursive elements that the cosmetic companies use in order to make productive the relationship between femininity and cancer. I contextualize this education programme by presenting the controversies regarding cosmetics as they relate to the growth of breast tumours. In doing so, I conclude that conversations and questions about a link between chemicals and cancer are subverted by both ;horror' narratives of cancer and the provocative use of standards of beauty. Such discursive dominance in patient education programmes makes it difficult to engage in a more public understanding of cancer growth as affected by cosmetic chemicals.

Nationwide quality improvement in lung cancer care

DEFF Research Database (Denmark)

Jakobsen, Erik Winther; Green, Anders; Oesterlind, Kell

2013-01-01

To improve prognosis and quality of lung cancer care the Danish Lung Cancer Group has developed a strategy consisting of national clinical guidelines and a clinical quality and research database. The first edition of our guidelines was published in 1998 and our national lung cancer registry...... was opened for registrations in 2000. This article describes methods and results obtained by multidisciplinary collaboration and illustrates how quality of lung cancer care can be improved by establishing and monitoring result and process indicators....

Collaborative data analytics for smart buildings: opportunities and models

DEFF Research Database (Denmark)

Lazarova-Molnar, Sanja; Mohamed, Nader

2018-01-01

of collaborative data analytics for smart buildings, its benefits, as well as presently possible models of carrying it out. Furthermore, we present a framework for collaborative fault detection and diagnosis as a case of collaborative data analytics for smart buildings. We also provide a preliminary analysis...... of the energy efficiency benefit of such collaborative framework for smart buildings. The result shows that significant energy savings can be achieved for smart buildings using collaborative data analytics.......Smart buildings equipped with state-of-the-art sensors and meters are becoming more common. Large quantities of data are being collected by these devices. For a single building to benefit from its own collected data, it will need to wait for a long time to collect sufficient data to build accurate...

Collaborative Prototyping

DEFF Research Database (Denmark)

Bogers, Marcel; Horst, Willem

2014-01-01

of the prototyping process, the actual prototype was used as a tool for communication or development, thus serving as a platform for the cross-fertilization of knowledge. In this way, collaborative prototyping leads to a better balance between functionality and usability; it translates usability problems into design......This paper presents an inductive study that shows how collaborative prototyping across functional, hierarchical, and organizational boundaries can improve the overall prototyping process. Our combined action research and case study approach provides new insights into how collaborative prototyping...... can provide a platform for prototype-driven problem solving in early new product development (NPD). Our findings have important implications for how to facilitate multistakeholder collaboration in prototyping and problem solving, and more generally for how to organize collaborative and open innovation...

Endocrinological analysis of 122 Japanese childhood cancer survivors in a single hospital

International Nuclear Information System (INIS)

Miyoshi, Yoko; Ohta, Hideaki; Hashii, Yoshiko; Tokimasa, Sadao; Namba, Noriyuki; Mushiake, Sotaro; Ozono, Keiichi; Hara, Junichi

2008-01-01

With recent improvements in the diagnosis and treatment of cancer, the number of childhood cancer survivors (CCSs) has been increasing in Japan. The importance of quality of life during the lifetime of CCSs has now been recognized, and the late effects of cancer treatments are essential and important issues. In this study we analyzed the endocrinological abnormalities of CCSs by retrospectively evaluating 122 outpatients (62 males and 60 females) who had been referred from pediatric oncologists to our follow-up clinic among 151 CCSs attending our hospital more than two years after their cancer treatment. Follow-up duration varied from 2 to 30 (median 8.0) years. Their average age was 17.3 (range 4-36, median 17.0) years, and 38 patients (31.1%) reached adulthood. Endocrinological abnormalities were found in 82 (67%) of 122 survivors. Gonadal dysfunction was observed in 60 patients (49%). Thirty-nine patients (32%) were short or grew at a slower rate. Twenty-six patients (21%) showed thyroid dysfunction. Other abnormalities were as follows: obesity in 20 patients (16%), leanness in 10 (8%), central diabetes insipidus in 11 (9%) and adrenocortical dysfunction in 9 (7%). Low bone mineral density was observed in 41 (42%) of 98 patients evaluated. These endocrinological abnormalities were caused by the combined effects of cancer itself and various treatments (chemotherapy, radiation therapy, surgery, and hematopoietic stem cell transplantation). Lifetime medical surveillance and continuous follow-up are necessary for CCSs, because treatment-related complications may occur during childhood and many years after the therapy as well. Endocrinologists should participate in long-term follow-up of these survivors in collaboration with pediatric oncologists. (author)

Endocrinological analysis of 122 Japanese childhood cancer survivors in a single hospital.

Science.gov (United States)

Miyoshi, Yoko; Ohta, Hideaki; Hashii, Yoshiko; Tokimasa, Sadao; Namba, Noriyuki; Mushiake, Sotaro; Hara, Junichi; Ozono, Keiichi

2008-12-01

With recent improvements in the diagnosis and treatment of cancer, the number of childhood cancer survivors (CCSs) has been increasing in Japan. The importance of quality of life during the lifetime of CCSs has now been recognized, and the late effects of cancer treatments are essential and important issues. In this study we analyzed the endocrinological abnormalities of CCSs by retrospectively evaluating 122 outpatients (62 males and 60 females) who had been referred from pediatric oncologists to our follow-up clinic among 151 CCSs attending our hospital more than two years after their cancer treatment. Follow-up duration varied from 2 to 30 (median 8.0) years. Their average age was 17.3 (range 4-36, median 17.0) years, and 38 patients (31.1%) reached adulthood. Endocrinological abnormalities were found in 82 (67%) of 122 survivors. Gonadal dysfunction was observed in 60 patients (49%). Thirty-nine patients (32%) were short or grew at a slower rate. Twenty-six patients (21%) showed thyroid dysfunction. Other abnormalities were as follows: obesity in 20 patients (16%), leanness in 10 (8%), central diabetes insipidus in 11 (9%) and adrenocortical dysfunction in 9 (7%). Low bone mineral density was observed in 41 (42%) of 98 patients evaluated. These endocrinological abnormalities were caused by the combined effects of cancer itself and various treatments (chemotherapy, radiation therapy, surgery, and hematopoietic stem cell transplantation). Lifetime medical surveillance and continuous follow-up are necessary for CCSs, because treatment-related complications may occur during childhood and many years after the therapy as well. Endocrinologists should participate in long-term follow-up of these survivors in collaboration with pediatric oncologists.

12. Collaborative Learning – A Possible Approach of Learning in the Discipline of Study Musical Analysis

Directory of Open Access Journals (Sweden)

Vlahopol Gabriela

2016-03-01

Full Text Available The musician’s typology is anchored, according to the traditional perception, within the limits of an individualistic image, which searches, develops and affirms its creativity following an individual training process. The collaborative learning is one of the educational patterns less used in the artistic education, being limited to several disciplines whose specificity requires appurtenance to a study group (for instance chamber training, orchestra. The method’s application to the theoretical disciplines often encounters reserves both on part of the teachers and the students as well, because of the efforts required for its design and implementation. The study herein offers a possible approach of collaborative learning within the course of study Musical Analysis, pleading for the need of the social component development of the learning activities of the instrumental performer student, by his involvement within a study group.

Weight of evidence analysis of lung cancer in Colorado Plateau uranium miners

International Nuclear Information System (INIS)

Groeer, P.G.; Wallace, P.W.; Pereira, A. de B.

1989-01-01

The authors use a Bayesian contingency table analysis to assess lung cancer in the Colorado plateau uranium miners. This population is studied by Whittemore, Hornung and BEIR-IV, but none of these includes the radiation dose from hard rock mining that about 38% of the miners have accumulated. The analysis uses 'weight of evidence' which Good applied to the analysis of lung cancer many years ago. The analysis indicates that only in those exposed for a long period and at high exposure rates is the weight of evidence positive with a coefficient of variation less than unity that radiation is associated with the lung cancers. The coefficient of variation is a criterion of the significance of the weight of evidence for the association of the radon exposure in the miners with lung cancer. In the subsequent discussion it is suggested that this approach is similar to the probability of causation, which it is not. (author)

Rural Health Networks: How Network Analysis Can Inform Patient Care and Organizational Collaboration in a Rural Breast Cancer Screening Network.

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Prusaczyk, Beth; Maki, Julia; Luke, Douglas A; Lobb, Rebecca

2018-04-15

Rural health networks have the potential to improve health care quality and access. Despite this, the use of network analysis to study rural health networks is limited. The purpose of this study was to use network analysis to understand how a network of rural breast cancer care providers deliver services and to demonstrate the value of this methodology in this research area. Leaders at 47 Federally Qualified Health Centers and Rural Health Clinics across 10 adjacent rural counties were asked where they refer patients for mammograms or breast biopsies. These clinics and the 22 referral providers that respondents named comprised the network. The network was analyzed graphically and statistically with exponential random graph modeling. Most (96%, n = 45) of the clinics and referral sites (95%, n = 21) are connected to each other. Two clinics of the same type were 62% less likely to refer patients to the same providers as 2 clinics of different types (OR = 0.38, 95% CI = 0.29-0.50). Clinics in the same county have approximately 8 times higher odds of referring patients to the same providers compared to clinics in different counties (OR = 7.80, CI = 4.57-13.31). This study found that geographic location of resources is an important factor in rural health care providers' referral decisions and demonstrated the usefulness of network analysis for understanding rural health networks. These results can be used to guide delivery of patient care and strengthen the network by building resources that take location into account. © 2018 National Rural Health Association.

PIXE analysis of cancer-afflicted human bladder

Energy Technology Data Exchange (ETDEWEB)

Raju, G.J. Naga; Sarita, P.; Kumar, M. Ravi [Department of Physics, Institute of Technology, GITAM University, Visakhapatnam (India); Reddy, S. Bhuloka [Swami Jnanananda Laboratories for Nuclear Research, Andhra University, Visakhapatnam (India)

2013-07-01

Full text: The proton induced x-ray emission (PIXE) technique was used for analysis of trace elements in small quantities of biological samples. Both the biological samples of normal and cancer-afflicted human bladder tissues were studied. The present experiment was performed using a 3 MV pelletron accelerator at the Institute of Physics in Bhubaneswar, India. A proton beam of 3 MeV energy was used to excite the samples. NIST SRM 1577b Bovine Liver Tissue was used as external standards for the determination of trace element concentration in the biological tissue samples. The elements CI, K, Ca, Ti, Cr, Mn, Fe, Ni, Cu, Zn, and Se were identified and their concentrations were estimated. The concentrations of Ti and Zn are lower (p < 0.005) and that of Cr, Mn, Fe, Ni, and Cu are significantly higher (p < 0.001) in cancerous tissues than that in normal tissues. The deficiency or excess of different trace elements observed in the cancer tissues relative to the normal tissues of bladder are correlated to the pathology of cancer. (author)

Dietary Fat Intake and Risk of Gastric Cancer: A Meta-Analysis of Observational Studies

Science.gov (United States)

Liu, Xiao; Meng, Qingyang; Xi, Qiulei; Zhuang, Qiulin; Han, Yusong; Gao, Ying; Ding, Qiurong; Wu, Guohao

2015-01-01

Background and Objectives Consumption of dietary fat has been reported to be associated with gastric cancer risk, but the results of epidemiologic studies remain inconsistent. We conducted a meta-analysis to summarize the evidence regarding the association between dietary fat intake and gastric cancer risk. Methods A comprehensive search of PubMed and EMBASE was performed to identify observational studies providing quantitative estimates between dietary fat and gastric cancer risk. Random effects model was used to calculate the summary relative risk(SRR) in the highest versus lowest analysis. Categorical dose-response analysis was conducted to quantify the association between dietary fat intake and gastric cancer risk. Heterogeneity among studies was evaluated using I2 and tau2(between study variance)statistics. Subgroup analysis and publication bias analysis were also performed. Results Twenty-two articles were included in the meta-analysis. The SRR for gastric cancer was 1.18 for individuals with highest intake versus lowest intake of total fat (95% confidence interval [CI]: 0.999–1.39; n = 28; Pgastric cancer risk were observed. Conclusions Our results suggest that intake of total fat is potentially positively associated with gastric cancer risk, and specific subtypes of fats account for different effects. However, these findings should be confirmed by further well-designed cohort studieswith detailed dietary assessments and strict control of confounders. PMID:26402223

A Virtual Bioinformatics Knowledge Environment for Early Cancer Detection

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Crichton, Daniel; Srivastava, Sudhir; Johnsey, Donald

2003-01-01

Discovery of disease biomarkers for cancer is a leading focus of early detection. The National Cancer Institute created a network of collaborating institutions focused on the discovery and validation of cancer biomarkers called the Early Detection Research Network (EDRN). Informatics plays a key role in enabling a virtual knowledge environment that provides scientists real time access to distributed data sets located at research institutions across the nation. The distributed and heterogeneous nature of the collaboration makes data sharing across institutions very difficult. EDRN has developed a comprehensive informatics effort focused on developing a national infrastructure enabling seamless access, sharing and discovery of science data resources across all EDRN sites. This paper will discuss the EDRN knowledge system architecture, its objectives and its accomplishments.