WorldWideScience

Sample records for addressing cancer clusters

  1. Cancer Clusters

    ... of cancer. Cancer clusters can help scientists identify cancer-causing substances in the environment. For example, in the early 1970s, a cluster ... the area and time period over which the cancers were diagnosed. They also ask about specific environmental hazards or concerns in the affected area. If ...

  2. Presidential Address: Industry Location, Economic Development Incentives, and Clusters

    Woodward, Douglas P.

    2012-01-01

    In his Presidential Address, Professor Woodward uses South Carolina’s economic development experience as a case study of significant challenges in regional development. The state has re-industrialized and emerged as a leader in attracting capital investment through generous financial incentives, after watching the demise of its major industry cluster (textiles and apparel) since the 1970s. The address argues that regional science research continues to advance our understanding of regional pol...

  3. Inflammatory breast cancer clusters: A hypothesis

    Levine, Paul H; Hashmi, Salman; Minaei, Ashley A; Veneroso, Carmela

    2014-01-01

    Cancer clusters have long been a focus of interest because of the possibility of identifying etiologic agents. Only on rare occasions, however, have such cluster investigations been successful. One major difficulty in cluster investigations, particularly in the area of breast cancer, is the long latent period. There have been a number of publications providing a discouraging picture regarding cancer cluster investigations. The possibility of learning from a cluster investigation, however, is ...

  4. Testicular cancer: addressing the psychosexual issues.

    Moore, Annamarie

    2012-01-31

    Testicular cancer is the most common malignancy in men aged 15-35 years and predominantly occurs at a time in a man\\'s life when important decisions about marriage, starting a family and a professional career are being made. While treatments for testicular cancer are very successful, they can have a major impact on the person\\'s sexuality and sense of self. The focus of this article is on exploring the impact of cancer treatments for testicular cancer on men\\'s sexuality and how nurses can respond to their concerns in a sensitive and informed manner.

  5. Opportunities to address lung cancer disparities among African Americans

    Coughlin, Steven S.; Matthews-Juarez, Patricia; Juarez, Paul D.; Melton, Courtnee E; King, Mario

    2014-01-01

    Race and socioeconomic status are well known to influence lung cancer incidence and mortality patterns in the U.S. Lung cancer incidence and mortality rates are higher among blacks than whites. In this article we review opportunities to address disparities in lung cancer incidence, mortality, and survivorship among African Americans. First, we summarize recent advances in the early detection and treatment of lung cancer. Then we consider black-white disparities in lung cancer treatment includ...

  6. Space-time clusters of breast cancer using residential histories

    Nordsborg, Rikke Baastrup; Meliker, Jaymie R; Ersbøll, Annette Kjær;

    2014-01-01

    BACKGROUND: A large proportion of breast cancer cases are thought related to environmental factors. Identification of specific geographical areas with high risk (clusters) may give clues to potential environmental risk factors. The aim of this study was to investigate whether clusters of breast...... cancer existed in space and time in Denmark, using 33 years of residential histories. METHODS: We conducted a population-based case-control study of 3138 female cases from the Danish Cancer Registry, diagnosed with breast cancer in 2003 and two independent control groups of 3138 women each, randomly...... selected from the Civil Registration System. Residential addresses of cases and controls from 1971 to 2003 were collected from the Civil Registration System and geo-coded. Q-statistics were used to identify space-time clusters of breast cancer. All analyses were carried out with both control groups, and...

  7. Adaptation of a Counseling Intervention to Address Multiple Cancer Risk Factors among Overweight/Obese Latino Smokers

    Castro, Yessenia; Fernández, Maria E.; Strong, Larkin L.; Stewart, Diana W.; Krasny, Sarah; Hernandez Robles, Eden; Heredia, Natalia; Spears, Claire A.; Correa-Fernández, Virmarie; Eakin, Elizabeth; Resnicow, Ken; Basen-Engquist, Karen; Wetter, David W.

    2015-01-01

    More than 60% of cancer-related deaths in the United States are attributable to tobacco use, poor nutrition, and physical inactivity, and these risk factors tend to cluster together. Thus, strategies for cancer risk reduction would benefit from addressing multiple health risk behaviors. We adapted an evidence-based intervention grounded in social…

  8. Adoptive T cell therapy: Addressing challenges in cancer immunotherapy

    Yee Cassian

    2005-04-01

    Full Text Available Abstract Adoptive T cell therapy involves the ex vivo selection and expansion of effector cells for the treatment of patients with cancer. In this review, the advantages and limitations of using antigen-specific T cells are discussed in counterpoint to vaccine strategies. Although vaccination strategies represent more readily available reagents, adoptive T cell therapy provides highly selected T cells of defined phenotype, specificity and function that may influence their biological behavior in vivo. Adoptive T cell therapy offers not only translational opportunities but also a means to address fundamental issues in the evolving field of cancer immunotherapy.

  9. Oral Cancer in African Americans: Addressing Health Disparities

    Dodd, Virginia J.; Watson, Jennifer M.; Choi, Youjin; Tomar, Scott L.; Logan, Henrietta L.

    2008-01-01

    Objectives: To explore factors underlying African Americans' perceptions of oral cancer and the oral cancer exam. Study findings were used to guide development of oral cancer messages designed to increase oral cancer exams among African Americans. Methods: Focus groups were conducted to understand African Americans' attitudes and expectations…

  10. Cancer incidence in men: a cluster analysis of spatial patterns

    D'Alò Daniela

    2008-11-01

    Full Text Available Abstract Background Spatial clustering of different diseases has received much less attention than single disease mapping. Besides chance or artifact, clustering of different cancers in a given area may depend on exposure to a shared risk factor or to multiple correlated factors (e.g. cigarette smoking and obesity in a deprived area. Models developed so far to investigate co-occurrence of diseases are not well-suited for analyzing many cancers simultaneously. In this paper we propose a simple two-step exploratory method for screening clusters of different cancers in a population. Methods Cancer incidence data were derived from the regional cancer registry of Umbria, Italy. A cluster analysis was performed on smoothed and non-smoothed standardized incidence ratios (SIRs of the 13 most frequent cancers in males. The Besag, York and Mollie model (BYM and Poisson kriging were used to produce smoothed SIRs. Results Cluster analysis on non-smoothed SIRs was poorly informative in terms of clustering of different cancers, as only larynx and oral cavity were grouped, and of characteristic patterns of cancer incidence in specific geographical areas. On the other hand BYM and Poisson kriging gave similar results, showing cancers of the oral cavity, larynx, esophagus, stomach and liver formed a main cluster. Lung and urinary bladder cancers clustered together but not with the cancers mentioned above. Both methods, particularly the BYM model, identified distinct geographic clusters of adjacent areas. Conclusion As in single disease mapping, non-smoothed SIRs do not provide reliable estimates of cancer risks because of small area variability. The BYM model produces smooth risk surfaces which, when entered into a cluster analysis, identify well-defined geographical clusters of adjacent areas. It probably enhances or amplifies the signal arising from exposure of more areas (statistical units to shared risk factors that are associated with different cancers. In

  11. Message Passing vs. Shared Address Space on a Cluster of SMPs

    Shan, Hongzhang; Singh, Jaswinder Pal; Oliker, Leonid; Biswas, Rupak

    2000-01-01

    The convergence of scalable computer architectures using clusters of PCs (or PC-SMPs) with commodity networking has become an attractive platform for high end scientific computing. Currently, message-passing and shared address space (SAS) are the two leading programming paradigms for these systems. Message-passing has been standardized with MPI, and is the most common and mature programming approach. However message-passing code development can be extremely difficult, especially for irregular structured computations. SAS offers substantial ease of programming, but may suffer from performance limitations due to poor spatial locality, and high protocol overhead. In this paper, we compare the performance of and programming effort, required for six applications under both programming models on a 32 CPU PC-SMP cluster. Our application suite consists of codes that typically do not exhibit high efficiency under shared memory programming. due to their high communication to computation ratios and complex communication patterns. Results indicate that SAS can achieve about half the parallel efficiency of MPI for most of our applications: however, on certain classes of problems SAS performance is competitive with MPI. We also present new algorithms for improving the PC cluster performance of MPI collective operations.

  12. Potential opportunities to reduce cervical cancer by addressing risk factors other than HPV

    Kumar, Ramaiah Vinay; Bhasker, Suman

    2013-01-01

    Cervical cancer is the most common cancer in developing world and 80% of global burden is reported from these nations. Human papillomavirus along with poverty, illiteracy/lower education level and standards, multi-parity, tobacco, malnutrition and poor genital hygiene may act synergistically to cause cervical cancer. Risk factor of cervical cancer may in itself be the reason for non-viability of cervical cancer vaccine program in this part of the world. Interventions to address these risk fac...

  13. Addressing future challenges for cancer services: part II.

    Maher, Jane; Radford, Gina

    2016-02-01

    Jane Maher & Gina Radford speak to Gemma Westcott, Commissioning Editor Jane Maher has been Macmillan's Chief Medical Officer since 1999 and now shares the role as Joint Chief Medical Officer with general practitioner Rosie Loftus, reflecting the growing need for specialists and generalists to work more effectively together. She has been an National Health Service (NHS) improvement clinical leader for over 10 years and is a Consultant Clinical Oncologist at Mount Vernon Cancer Centre and Hillingdon Hospital where she has worked for more than 20 years, during which she helped develop nonsurgical oncology services in five district general hospitals. She is a senior Clinical Lecturer at University College London and Visiting Professor in Cancer and Supportive Care at the Centre for Complexity Management at the University of Hertfordshire. Jane chaired the Maher Committee for the Department of Health in 1995, led the UK National Audit of Late Effects Pelvic Radiotherapy for the Royal College of Radiologists (RCR) in 2000 and, most recently, chaired the National Cancer Survivorship Initiative Consequences of Treatment work stream. She co-founded one of the first Cancer Support and Information services in the UK, winning the Nye Bevan award in 1992 and there are now more than 60 units based on this model. She is a member of the Older People and Cancer Clinical Advisory Group. She has written more than 100 published articles and is a UK representative for cancer survivorship in Europe and advises on cancer survivorship programs in Denmark and Canada. Gina Radford is Deputy Chief Medical Officer for England, a post she took up in January 2015. Prior to that, she has held a number of roles in public health, at local and regional level. Most recently she was Centre Director for Anglia and Essex for Public Health England, and as a part of that role helped lead nationally on the public health response to Ebola. She was until very recently Chair of one of the NICE public health

  14. Addressing future challenges for cancer services: part I.

    Maher, Jane; Radford, Gina

    2016-02-01

    Jane Maher & Gina Radford speak to Gemma Westcott, Commissioning Editor Jane Maher has been Macmillan's Chief Medical Officer since 1999 and now shares the role as Joint Chief Medical Officer with general practitioner Rosie Loftus, reflecting the growing need for specialists and generalists to work more effectively together. She has been a National Health Service (NHS) Improvement Clinical Leader for over 10 years and is a Consultant Clinical Oncologist at Mount Vernon Cancer Centre where she has worked for more than 20 years, during which she helped develop nonsurgical oncology services in five district general hospitals. Jane chaired the Maher Committee for the Department of Health in 1995, led the UK National Audit of Late Effects Pelvic Radiotherapy for the Royal College Of Radiologists (RCR) in 2000 and, most recently, chaired the 'National Cancer Survivorship Initiative, consequences of treatment work stream'. She co-founded one of the first Cancer Support and Information services in the UK, winning the Nye Bevan award in 1992 and there are now more than 60 units based on this model. She is a member of the Older People and Cancer Clinical Advisory Group. She has written more than 100 published articles and is a UK representative for cancer survivorship in Europe and advises on Cancer survivorship programs in Denmark and Canada. Gina Radford is Deputy Chief Medical Officer for England, a post she took up in January 2015. Prior to that, she has held a number of roles in public health, at local and regional level. Most recently she was as Centre Director for Anglia and Essex for Public Health England, and as part of that role helped lead nationally on the public health response to Ebola. She was until very recently Chair of one of the NICE public health advisory committees. She has previously worked on a number of national projects, including leading the Department of Health's response to the Shipman Enquiry, undertaking a review of specialist public health for

  15. Adaptive Fuzzy Consensus Clustering Framework for Clustering Analysis of Cancer Data.

    Yu, Zhiwen; Chen, Hantao; You, Jane; Liu, Jiming; Wong, Hau-San; Han, Guoqiang; Li, Le

    2015-01-01

    Performing clustering analysis is one of the important research topics in cancer discovery using gene expression profiles, which is crucial in facilitating the successful diagnosis and treatment of cancer. While there are quite a number of research works which perform tumor clustering, few of them considers how to incorporate fuzzy theory together with an optimization process into a consensus clustering framework to improve the performance of clustering analysis. In this paper, we first propose a random double clustering based cluster ensemble framework (RDCCE) to perform tumor clustering based on gene expression data. Specifically, RDCCE generates a set of representative features using a randomly selected clustering algorithm in the ensemble, and then assigns samples to their corresponding clusters based on the grouping results. In addition, we also introduce the random double clustering based fuzzy cluster ensemble framework (RDCFCE), which is designed to improve the performance of RDCCE by integrating the newly proposed fuzzy extension model into the ensemble framework. RDCFCE adopts the normalized cut algorithm as the consensus function to summarize the fuzzy matrices generated by the fuzzy extension models, partition the consensus matrix, and obtain the final result. Finally, adaptive RDCFCE (A-RDCFCE) is proposed to optimize RDCFCE and improve the performance of RDCFCE further by adopting a self-evolutionary process (SEPP) for the parameter set. Experiments on real cancer gene expression profiles indicate that RDCFCE and A-RDCFCE works well on these data sets, and outperform most of the state-of-the-art tumor clustering algorithms. PMID:26357330

  16. Tumor-derived circulating endothelial cell clusters in colorectal cancer.

    Cima, Igor

    2016-06-29

    Clusters of tumor cells are often observed in the blood of cancer patients. These structures have been described as malignant entities for more than 50 years, although their comprehensive characterization is lacking. Contrary to current consensus, we demonstrate that a discrete population of circulating cell clusters isolated from the blood of colorectal cancer patients are not cancerous but consist of tumor-derived endothelial cells. These clusters express both epithelial and mesenchymal markers, consistent with previous reports on circulating tumor cell (CTC) phenotyping. However, unlike CTCs, they do not mirror the genetic variations of matched tumors. Transcriptomic analysis of single clusters revealed that these structures exhibit an endothelial phenotype and can be traced back to the tumor endothelium. Further results show that tumor-derived endothelial clusters do not form by coagulation or by outgrowth of single circulating endothelial cells, supporting a direct release of clusters from the tumor vasculature. The isolation and enumeration of these benign clusters distinguished healthy volunteers from treatment-naïve as well as pathological early-stage (≤IIA) colorectal cancer patients with high accuracy, suggesting that tumor-derived circulating endothelial cell clusters could be used as a means of noninvasive screening for colorectal cancer. In contrast to CTCs, tumor-derived endothelial cell clusters may also provide important information about the underlying tumor vasculature at the time of diagnosis, during treatment, and throughout the course of the disease.

  17. Message passing vs. shared address space on a cluster of SMPs

    The emergence of scalable computer architectures using clusters of PCs or PC-SMPs with commodity networking has made them attractive platforms for high-end scientific computing. Currently, message passing (MP) and shared address space (SAS) are the two leading programming paradigms for these systems. MP has been standardized with MPI, and is the most common and mature parallel programming approach. However, MP code development can be extremely difficult, especially for irregularly structured computations. SAS offers substantial ease of programming, but may suffer from performance limitations due to poor spatial locality and high protocol overhead. In this paper, they compare the performance of and programming effort required for six applications under both programming models on a 32-CPU PC-SMP cluster. Our application suite consists of codes that typically do not exhibit scalable performance under shared-memory programming due to their high communication-to-computation ratios and complex communication patterns. Results indicate that SAS can achieve about half the parallel efficiency of MPI for most of the applications; however, on certain classes of problems, SAS performance is competitive with MPI

  18. Message Passing and Shared Address Space Parallelism on an SMP Cluster

    Shan, Hongzhang; Singh, Jaswinder P.; Oliker, Leonid; Biswas, Rupak; Biegel, Bryan (Technical Monitor)

    2002-01-01

    Currently, message passing (MP) and shared address space (SAS) are the two leading parallel programming paradigms. MP has been standardized with MPI, and is the more common and mature approach; however, code development can be extremely difficult, especially for irregularly structured computations. SAS offers substantial ease of programming, but may suffer from performance limitations due to poor spatial locality and high protocol overhead. In this paper, we compare the performance of and the programming effort required for six applications under both programming models on a 32-processor PC-SMP cluster, a platform that is becoming increasingly attractive for high-end scientific computing. Our application suite consists of codes that typically do not exhibit scalable performance under shared-memory programming due to their high communication-to-computation ratios and/or complex communication patterns. Results indicate that SAS can achieve about half the parallel efficiency of MPI for most of our applications, while being competitive for the others. A hybrid MPI+SAS strategy shows only a small performance advantage over pure MPI in some cases. Finally, improved implementations of two MPI collective operations on PC-SMP clusters are presented.

  19. Intelligent Pattern Mining and Data Clustering for Pattern Cluster Analysis using Cancer Data

    G.Raj Kumar

    2010-12-01

    Full Text Available Data mining techniques are used for the knowledge discovery process under the large data set environment. Clustering techniques are used to group up the relevant data sets. Hierarchical and partitioned clustering techniques are used for the clustering process. The clustering process is the complex task with high process time. The pattern extraction scheme is applied to find frequent item sets. Association rule mining techniques are applied to carry out the pattern extraction process. The pattern extraction scheme and the clustering scheme are integrated in the simultaneous pattern extraction and clustering scheme. The clustering process is improved with pattern comparison and transaction transfer process. The simultaneous clustering scheme is implemented to analyze the cancer patient diagnosis reports. The system is implemented as four major modules data set management, pattern extraction, clustering process and performance analysis. The data sets are preprocessed before the pattern extraction process. The patterns are used in the simultaneous clustering process. The performance analysis is done with the comparison of the data clustering scheme and pattern clustering schemes. The process time and memory factors are used in the performance analysis process. The cluster accuracy is represented using the fitness values. The system is enhanced with the K-means clustering algorithm.

  20. Coupled Two-Way Clustering Analysis of Breast Cancer and Colon Cancer Gene Expression Data

    Getz, G; Kela, I; Domany, E; Notterman, D A; Getz, Gad; Gal, Hilah; Kela, Itai; Domany, Eytan; Notterman, Dan A.

    2003-01-01

    We present and review Coupled Two Way Clustering, a method designed to mine gene expression data. The method identifies submatrices of the total expression matrix, whose clustering analysis reveals partitions of samples (and genes) into biologically relevant classes. We demonstrate, on data from colon and breast cancer, that we are able to identify partitions that elude standard clustering analysis.

  1. Cancer detection based on Raman spectra super-paramagnetic clustering

    González-Solís, José Luis; Guizar-Ruiz, Juan Ignacio; Martínez-Espinosa, Juan Carlos; Martínez-Zerega, Brenda Esmeralda; Juárez-López, Héctor Alfonso; Vargas-Rodríguez, Héctor; Gallegos-Infante, Luis Armando; González-Silva, Ricardo Armando; Espinoza-Padilla, Pedro Basilio; Palomares-Anda, Pascual

    2016-08-01

    The clustering of Raman spectra of serum sample is analyzed using the super-paramagnetic clustering technique based in the Potts spin model. We investigated the clustering of biochemical networks by using Raman data that define edge lengths in the network, and where the interactions are functions of the Raman spectra's individual band intensities. For this study, we used two groups of 58 and 102 control Raman spectra and the intensities of 160, 150 and 42 Raman spectra of serum samples from breast and cervical cancer and leukemia patients, respectively. The spectra were collected from patients from different hospitals from Mexico. By using super-paramagnetic clustering technique, we identified the most natural and compact clusters allowing us to discriminate the control and cancer patients. A special interest was the leukemia case where its nearly hierarchical observed structure allowed the identification of the patients's leukemia type. The goal of this study is to apply a model of statistical physics, as the super-paramagnetic, to find these natural clusters that allow us to design a cancer detection method. To the best of our knowledge, this is the first report of preliminary results evaluating the usefulness of super-paramagnetic clustering in the discipline of spectroscopy where it is used for classification of spectra.

  2. Statistical methods in cancer research: Investigating localized clusters of disease

    The search for 'clusters' of cancer cases has been a major feature of epidemiological research, and has come to the attention of the public following the publicity given to some childhood leukemia cases in villages surrounding the Sellafield reprocessing plant in England. Clustering is a poorly defined concept. Modern methodological developments have involved two distinct methods, quadrat counts and distance methods. Although statistical methods can indicate (with some error) whether clustering is present, they provide little information as to the real cause. Putative causes will always require further, more specific, studies before the results become meaningful. 5 refs

  3. New Statistical Methodology for Determining Cancer Clusters

    The development of an innovative statistical technique that shows that women living in a broad stretch of the metropolitan northeastern United States, which includes Long Island, are slightly more likely to die from breast cancer than women in other parts of the Northeast.

  4. Commentary: Utilizing Community-Engaged Approaches to Investigate and Address Hmong Women’s Cancer Disparities

    Shannon M.A. Sparks

    2014-12-01

    Full Text Available Cancer is a growing concern for women in the Hmong community. Hmong women experience poor health outcomes for both cervical and breast cancer, largely due to low rates of screening and resultant late-stage at diagnosis. Both breast and cervical cancer screening are complicated by a multitude of social, cultural and environmental factors which influence health care decision-making and can otherwise serve to restrict access. We argue that community-engaged research, an orientation which prioritizes collaborative, equitable partnerships and community voice in identifying both problems and solutions, can be a valuable approach to helping address cancer health disparities for Hmong women. Using the Milwaukee-based “Healthy Hmong Women” project as a case example, we detail how the community-engaged approach implemented by the project partners was critical in identifying factors contributing to Hmong cancer disparities and appropriate interventions, as well as the overall acceptance and success of the project. Specifically, we discuss how this approach: (1 promoted community investment and ownership in the project; (2 facilitated the integration of local perspectives and experiences; (3 built capacity to address cancer screening disparities; (4 facilitated the creation of interventions targeting multiple ecological levels; and (5 framed the community as the foundation and driver of positive change.

  5. Clustering

    Jinfei Liu

    2013-04-01

    Full Text Available DBSCAN is a well-known density-based clustering algorithm which offers advantages for finding clusters of arbitrary shapes compared to partitioning and hierarchical clustering methods. However, there are few papers studying the DBSCAN algorithm under the privacy preserving distributed data mining model, in which the data is distributed between two or more parties, and the parties cooperate to obtain the clustering results without revealing the data at the individual parties. In this paper, we address the problem of two-party privacy preserving DBSCAN clustering. We first propose two protocols for privacy preserving DBSCAN clustering over horizontally and vertically partitioned data respectively and then extend them to arbitrarily partitioned data. We also provide performance analysis and privacy proof of our solution..

  6. Centrosomal clustering contributes to chromosomal instability and cancer.

    Milunović-Jevtić, A; Mooney, P; Sulerud, T; Bisht, J; Gatlin, J C

    2016-08-01

    Cells assemble mitotic spindles during each round of division to insure accurate segregation of their duplicated genome. In animal cells, stereotypical spindles have two poles, each containing one centrosome, from which microtubules are nucleated. By contrast, many cancer cells often contain more than two centrosomes and form transient multipolar spindle structures with more than two poles. In order to divide and produce viable progeny, the multipolar spindle intermediate must be reshaped into a pseudo-bipolar structure via a process called centrosomal clustering. Pseudo-bipolar spindles appear to function normally during mitosis, but they occasionally give rise to aneuploid and transformed daughter cells. Agents that inhibit centrosomal clustering might therefore work as a potential cancer therapy, specifically targeting mitosis in supernumerary centrosome-containing cells. PMID:27046071

  7. NOVEL CONTEXT-AWARE CLUSTERING WITH HIERARCHICAL ADDRESSING (CCHA) FOR THE INTERNET OF THINGS (IoT)

    Mahalle, Parikshit N.; Prasad, Neeli R.; Prasad, Ramjee

    2013-01-01

    As computing technology becomes more tightly coupled into dynamic and mobile world of the Internet of Things (IoT), security mechanism becomes more stringent, less flexible and intrusive. Scalability issue in the IoT makes Identity Management (IdM) of ubiquitous things more challenging. Forming ad......-hoc network, interaction between these nomadic devices to provide seamless service extend the need of new identi-ties to the things, addressing and IdM in the IoT. New identities and identifier format to alleviate the perfor-mance issue is introduced in this paper. This paper pre-sents novel Context......-aware Clustering with Hierarchical Addressing (CCHA) scheme for the things with new identifier format. Simulation results shows that CCHA achieves better performance with less energy expendi-ture, less end-to-end delay and more throughput. Results also show that CCHA significantly reduces the failure probability...

  8. Addressing cancer disparities among American Indians through innovative technologies and patient navigation: the walking forward experience

    DanielGrantPetereit

    2011-06-01

    Materials/Methods: This program consists of a a culturally-tailored patient navigation program that facilitated access to innovative clinical trials in conjunction with a comprehensive educational program encouraging screening and early detection, b, surveys to evaluate barriers to access c clinical trials focusing on reducing treatment length to facilitate enhanced participation using brachytherapy and intensity modulated radiotherapy (IMRT for breast and prostate cancer, as AIs live a median of 140 miles from the cancer center, and d a molecular study (ATM - Ataxia telangectasia mutation to address whether there is a specific profile that increases toxicity risks. Results: We describe the design and implementation of this program, summary of previously published results, and ongoing research to influence stage at presentation. Some of the critical outcomes include the successful implementation of a community based research program, development of trust within tribal communities, identification of barriers, analysis of nearly 400 navigated cancer patients, clinical trial accrual rate of 10%, and total enrollment of nearly 2,500 AIs on WF research studies. Conclusions: This NCI funded pilot program has achieved some initial measures of success. A research infrastructure has been created in a community setting to address new research questions and interventions. Efforts underway to promote cancer education and screening are presented, as well as applications of the lessons learned to other health disparity populations.

  9. Addressing Risk and Reluctance at the Nexus of HIV and Anal Cancer Screening.

    Ka'opua, Lana Sue I; Cassel, Kevin; Shiramizu, Bruce; Stotzer, Rebecca L; Robles, Andrew; Kapua, Cathy; Orton, Malulani; Milne, Cris; Sesepasara, Maddalynn

    2016-01-01

    Anal cancer disproportionately burdens persons living with human immunodeficiency virus (PLHIV) regardless of natal sex, sexual orientation, gender expression, and ethnic identity. Culturally competent communications are recommended to address health disparities, with sociocultural relevance ensured through constituent dialogic processes. Results are presented from six provider focus groups conducted to inform the promotion/education component of a Hawai'i-based project on anal cancer screening tools. Krueger's focus group methodology guided discussion queries. Verbatim transcripts of digitally recorded discussions were analyzed using grounded theory and PEN-3 procedures. Adherence to an audit trail ensured analytic rigor. Grounded theory analysis detected the overall theme of risk and reluctance to anal cancer screening, characterized by anal cancer not being "on the radar" of PLHIV, conflicting attributions of the anus and anal sex, fear of sex-shaming/-blaming, and other interrelated conceptual categories. PEN-3 analysis revealed strategies for destigmatizing anal cancer, through "real talk" (proactive, candid, nonjudgmental discussion) nested in a framework of sexual health and overall well-being, with additional tailoring for relevance to Native Hawaiians/Pacific Islanders, transgender persons, and other marginalized groups. Application of strategies for health practice are specific to the Hawai'i context, yet may offer considerations for developing strengths-based, culturally relevant screening promotion/education with diverse PLHIV in other locales. PMID:26630979

  10. Use of Evidence-Based Interventions to Address Disparities in Colorectal Cancer Screening.

    Joseph, Djenaba A; Redwood, Diana; DeGroff, Amy; Butler, Emily L

    2016-01-01

    Colorectal cancer (CRC) is the second leading cause of cancer death among cancers that affect both men and women. Despite strong evidence of their effectiveness, CRC screening tests are underused. Racial/ethnic minority groups, persons without insurance, those with lower educational attainment, and those with lower household income levels have lower rates of CRC screening. Since 2009, CDC's Colorectal Cancer Control Program (CRCCP) has supported state health departments and tribal organizations in implementing evidence-based interventions (EBIs) to increase use of CRC screening tests among their populations. This report highlights the successful implementation of EBIs to address disparities by two CRCCP grantees: the Alaska Native Tribal Health Consortium (ANTHC) and Washington State's Breast, Cervical, and Colon Health Program (BCCHP). ANTHC partnered with regional tribal health organizations in the Alaska Tribal Health System to implement provider and client reminders and use patient navigators to increase CRC screening rates among Alaska Native populations. BCCHP identified patient care coordinators in each clinic who coordinated staff training on CRC screening and integrated client and provider reminder systems. In both the Alaska and Washington programs, instituting provider reminder systems, client reminder systems, or both was facilitated by use of electronic health record systems. Using multicomponent interventions in a single clinical site or facility can support more organized screening programs and potentially result in greater increases in screening rates than relying on a single strategy. Organized screening systems have an explicit policy for screening, a defined target population, a team responsible for implementation of the screening program, and a quality assurance structure. Although CRC screening rates in the United States have increased steadily over the past decade, this increase has not been seen equally across all populations. Increasing the

  11. Hierarchical clustering of breast cancer methylomes revealed differentially methylated and expressed breast cancer genes.

    I-Hsuan Lin

    Full Text Available Oncogenic transformation of normal cells often involves epigenetic alterations, including histone modification and DNA methylation. We conducted whole-genome bisulfite sequencing to determine the DNA methylomes of normal breast, fibroadenoma, invasive ductal carcinomas and MCF7. The emergence, disappearance, expansion and contraction of kilobase-sized hypomethylated regions (HMRs and the hypomethylation of the megabase-sized partially methylated domains (PMDs are the major forms of methylation changes observed in breast tumor samples. Hierarchical clustering of HMR revealed tumor-specific hypermethylated clusters and differential methylated enhancers specific to normal or breast cancer cell lines. Joint analysis of gene expression and DNA methylation data of normal breast and breast cancer cells identified differentially methylated and expressed genes associated with breast and/or ovarian cancers in cancer-specific HMR clusters. Furthermore, aberrant patterns of X-chromosome inactivation (XCI was found in breast cancer cell lines as well as breast tumor samples in the TCGA BRCA (breast invasive carcinoma dataset. They were characterized with differentially hypermethylated XIST promoter, reduced expression of XIST, and over-expression of hypomethylated X-linked genes. High expressions of these genes were significantly associated with lower survival rates in breast cancer patients. Comprehensive analysis of the normal and breast tumor methylomes suggests selective targeting of DNA methylation changes during breast cancer progression. The weak causal relationship between DNA methylation and gene expression observed in this study is evident of more complex role of DNA methylation in the regulation of gene expression in human epigenetics that deserves further investigation.

  12. Performance of cancer cluster Q-statistics for case-control residential histories

    Sloan, Chantel D.; Jacquez, Geoffrey M.; Gallagher, Carolyn M.; Ward, Mary H.; Raaschou-Nielsen, Ole; Nordsborg, Rikke Baastrup; Meliker, Jaymie R.

    2012-01-01

    Few investigations of health event clustering have evaluated residential mobility, though causative exposures for chronic diseases such as cancer often occur long before diagnosis. Recently developed Q-statistics incorporate human mobility into disease cluster investigations by quantifying space- and time-dependent nearest neighbor relationships. Using residential histories from two cancer case-control studies, we created simulated clusters to examine Q-statistic performance. Results suggest the intersection of cases with significant clustering over their life course, Qi, with cases who are constituents of significant local clusters at given times, Qit, yielded the best performance, which improved with increasing cluster size. Upon comparison, a larger proportion of true positives were detected with Kulldorf’s spatial scan method if the time of clustering was provided. We recommend using Q-statistics to identify when and where clustering may have occurred, followed by the scan method to localize the candidate clusters. Future work should investigate the generalizability of these findings. PMID:23149326

  13. A Multidisciplinary Investigation of a Polycythemia Vera Cancer Cluster of Unknown Origin

    Judith Klotz

    2010-03-01

    Full Text Available Cancer cluster investigations rarely receive significant public health resource allocations due to numerous inherent challenges and the limited success of past efforts. In 2008, a cluster of polycythemia vera, a rare blood cancer with unknown etiology, was identified in northeast Pennsylvania. A multidisciplinary group of federal and state agencies, academic institutions, and local healthcare providers subsequently developed a multifaceted research portfolio designed to better understand the cause of the cluster. This research agenda represents a unique and important opportunity to demonstrate that cancer cluster investigations can produce desirable public health and scientific outcomes when necessary resources are available.

  14. Performance of cancer cluster Q-statistics for case-control residential histories

    Sloan, Chantel D.; Jacquez, Geoffrey M; Gallagher, Carolyn M.; Ward, Mary H; Raaschou-Nielsen, Ole; Nordsborg, Rikke Baastrup; Meliker, Jaymie R.

    2012-01-01

    Few investigations of health event clustering have evaluated residential mobility, though causative exposures for chronic diseases such as cancer often occur long before diagnosis. Recently developed Q-statistics incorporate human mobility into disease cluster investigations by quantifying space- and time-dependent nearest neighbor relationships. Using residential histories from two cancer case-control studies, we created simulated clusters to examine Q-statistic performance. Results suggest ...

  15. Space-time clusters of breast cancer using residential histories: A Danish case–control study

    Nordsborg, Rikke Baastrup; Meliker, Jaymie R.; Ersbøll, Annette Kjær; Jacquez, Geoffrey M; Poulsen, Aslak Harbo; Raaschou-Nielsen, Ole

    2014-01-01

    Background A large proportion of breast cancer cases are thought related to environmental factors. Identification of specific geographical areas with high risk (clusters) may give clues to potential environmental risk factors. The aim of this study was to investigate whether clusters of breast cancer existed in space and time in Denmark, using 33 years of residential histories. Methods We conducted a population-based case–control study of 3138 female cases from the Danish Cancer Registry, dia...

  16. The 4th Bi-annual international African-Caribbean Cancer Consortium conference: building capacity to address cancer health disparities in populations of African descent.

    Blackman, Elizabeth; Campbell, Jasmine; Bowen, Carlene; Delmoor, Ernestine; Jean-Louis, Gilda; Noumbissi, Raphiatou; O'Garro, Yvonne; Richards-Waritay, Oni; Straughter, Stanley; Tolbert, Vera; Wilson, Barbara; Ragin, Camille

    2014-01-01

    This is a brief summary of the 4(th) International Meeting of the African-Caribbean Cancer Consortium (AC3), organized and sponsored by Fox Chase Cancer Center (FCCC), and held on July 21-22, 2012 at the Lincoln University Graduate Center, Lincoln Plaza, Philadelphia, Pennsylvania. AC3 investigators gathered in Philadelphia, PA to present the results of our ongoing collaborative research efforts throughout the African Diaspora. The general theme addressed cancer health disparities and presentations represented all cancer types. However, there was particular emphasis on women's cancers, related to human papillomavirus (HPV) and human immunodeficiency virus (HIV) infections. PMID:26422007

  17. Multiobjective Simulated Annealing-Based Clustering of Tissue Samples for Cancer Diagnosis.

    Acharya, Sudipta; Saha, Sriparna; Thadisina, Yamini

    2016-03-01

    In the field of pattern recognition, the study of the gene expression profiles of different tissue samples over different experimental conditions has become feasible with the arrival of microarray-based technology. In cancer research, classification of tissue samples is necessary for cancer diagnosis, which can be done with the help of microarray technology. In this paper, we have presented a multiobjective optimization (MOO)-based clustering technique utilizing archived multiobjective simulated annealing(AMOSA) as the underlying optimization strategy for classification of tissue samples from cancer datasets. The presented clustering technique is evaluated for three open source benchmark cancer datasets [Brain tumor dataset, Adult Malignancy, and Small Round Blood Cell Tumors (SRBCT)]. In order to evaluate the quality or goodness of produced clusters, two cluster quality measures viz, adjusted rand index and classification accuracy ( % CoA) are calculated. Comparative results of the presented clustering algorithm with ten state-of-the-art existing clustering techniques are shown for three benchmark datasets. Also, we have conducted a statistical significance test called t-test to prove the superiority of our presented MOO-based clustering technique over other clustering techniques. Moreover, significant gene markers have been identified and demonstrated visually from the clustering solutions obtained. In the field of cancer subtype prediction, this study can have important impact. PMID:25706936

  18. Addressing preference heterogeneity in public health policy by combining Cluster Analysis and Multi-Criteria Decision Analysis

    Kaltoft, Mette Kjer; Turner, Robin; Cunich, Michelle;

    2015-01-01

    population in relation to the importance assigned to relevant criteria. It involves combining Cluster Analysis (CA), to generate the subgroup sets of preferences, with Multi-Criteria Decision Analysis (MCDA), to provide the policy framework into which the clustered preferences are entered. We employ three...

  19. Cancer clustering around point sources of pollution: assessment by a case-control methodology

    The case-control method is proposed to test clustering of cancers near point sources of air pollution. The techniques for applying the method are described and applied to two sources of pollution: a coke oven associated with a steel mill, and a large uranium tailing dump. In neither situation was a significant excess of the cancer of interest found when compared to control cancers, though a slight excess of lung cancer was found near the coke ovens

  20. Analysis of breast cancer progression using principal component analysis and clustering

    G Alexe; G S Dalgin; S Ganesan; C DeLisi; G Bhanot

    2007-08-01

    We develop a new technique to analyse microarray data which uses a combination of principal components analysis and consensus ensemble -clustering to find robust clusters and gene markers in the data. We apply our method to a public microarray breast cancer dataset which has expression levels of genes in normal samples as well as in three pathological stages of disease; namely, atypical ductal hyperplasia or ADH, ductal carcinoma in situ or DCIS and invasive ductal carcinoma or IDC. Our method averages over clustering techniques and data perturbation to find stable, robust clusters and gene markers. We identify the clusters and their pathways with distinct subtypes of breast cancer (Luminal, Basal and Her2+). We confirm that the cancer phenotype develops early (in early hyperplasia or ADH stage) and find from our analysis that each subtype progresses from ADH to DCIS to IDC along its own specific pathway, as if each was a distinct disease.

  1. Understanding and effectively addressing breast cancer in African American women: Unpacking the social context.

    Williams, David R; Mohammed, Selina A; Shields, Alexandra E

    2016-07-15

    Black women have a higher incidence of breast cancer before the age of 40 years, more severe disease at all ages, and an elevated mortality risk in comparison with white women. There is limited understanding of the contribution of social factors to these patterns. Elucidating the role of the social determinants of health in breast cancer disparities requires greater attention to how risk factors for breast cancer unfold over the lifecourse and to the complex ways in which socioeconomic status and racism shape exposure to psychosocial, physical, chemical, and other individual and community-level assaults that increase the risk of breast cancer. Research that takes seriously the social context in which black women live is also needed to maximize the opportunities to prevent breast cancer in this underserved group. Cancer 2016;122:2138-49. © 2016 American Cancer Society. PMID:26930024

  2. A Multidisciplinary Investigation of a Polycythemia Vera Cancer Cluster of Unknown Origin

    Judith Klotz; Carol Ann Gross-Davis; Arthur Frank; Manxia Wu; Zachary Myles; Linda Mulvihill; John Mellow; Robert Lewis; Joseph Iannuzzo; Paul Roda; Glenn Gerhard; Porat Erlich; David Carey; Mingjiang Xu; Ronald Hoffman

    2010-01-01

    Cancer cluster investigations rarely receive significant public health resource allocations due to numerous inherent challenges and the limited success of past efforts. In 2008, a cluster of polycythemia vera, a rare blood cancer with unknown etiology, was identified in northeast Pennsylvania. A multidisciplinary group of federal and state agencies, academic institutions, and local healthcare providers subsequently developed a multifaceted research portfolio designed to better understand the ...

  3. Intelligent Pattern Mining and Data Clustering for Pattern Cluster Analysis using Cancer Data

    G.Raj Kumar; Dr. K. Duraiswamy; M. Thangamani; Dr. P. Thangaraj

    2010-01-01

    Data mining techniques are used for the knowledge discovery process under the large data set environment. Clustering techniques are used to group up the relevant data sets. Hierarchical and partitioned clustering techniques are used for the clustering process. The clustering process is the complex task with high process time. The pattern extraction scheme is applied to find frequent item sets. Association rule mining techniques are applied to carry out the pattern extraction process. The patt...

  4. Local Breast Cancer Spatial Patterning: A Tool for Community Health Resource Allocation to Address Local Disparities in Breast Cancer Mortality

    Brantley-Sieders, Dana M.; Fan, Kang-Hsien; Deming-Halverson, Sandra L.; Shyr, Yu; Cook, Rebecca S.

    2012-01-01

    Despite available demographic data on the factors that contribute to breast cancer mortality in large population datasets, local patterns are often overlooked. Such local information could provide a valuable metric by which regional community health resources can be allocated to reduce breast cancer mortality. We used national and statewide datasets to assess geographical distribution of breast cancer mortality rates and known risk factors influencing breast cancer mortality in middle Tenness...

  5. Intervention Approaches for Addressing Breast Cancer Disparities among African American Women

    Coughlin, Steven S.

    2014-01-01

    African American women in the U.S. have a higher mortality rate from breast cancer than white women. Black-white differences in survival persist even after accounting for disease stage and tumor characteristics suggesting that the higher rates of breast cancer mortality are due to social factors. Several factors may account for racial differences in breast cancer mortality including socioeconomic factors, access to screening mammography and timely treatment, and biological factors. Efforts to...

  6. Commentary: Utilizing Community-Engaged Approaches to Investigate and Address Hmong Women’s Cancer Disparities

    Shannon M.A. Sparks; Pang C. Vang; Beth Peterman; Mayhoua Moua; Lisa Phillips

    2014-01-01

    Cancer is a growing concern for women in the Hmong community. Hmong women experience poor health outcomes for both cervical and breast cancer, largely due to low rates of screening and resultant late-stage at diagnosis. Both breast and cervical cancer screening are complicated by a multitude of social, cultural and environmental factors which influence health care decision-making and can otherwise serve to restrict access. We argue that community-engaged research, an orientation which prio...

  7. Cancer Cluster Investigations: Review of the Past and Proposals for the Future

    Michael Goodman

    2014-01-01

    Full Text Available Residential clusters of non-communicable diseases are a source of enduring public concern, and at times, controversy. Many clusters reported to public health agencies by concerned citizens are accompanied by expectations that investigations will uncover a cause of disease. While goals, methods and conclusions of cluster studies are debated in the scientific literature and popular press, investigations of reported residential clusters rarely provide definitive answers about disease etiology. Further, it is inherently difficult to study a cluster for diseases with complex etiology and long latency (e.g., most cancers. Regardless, cluster investigations remain an important function of local, state and federal public health agencies. Challenges limiting the ability of cluster investigations to uncover causes for disease include the need to consider long latency, low statistical power of most analyses, uncertain definitions of cluster boundaries and population of interest, and in- and out-migration. A multi-disciplinary Workshop was held to discuss innovative and/or under-explored approaches to investigate cancer clusters. Several potentially fruitful paths forward are described, including modern methods of reconstructing residential history, improved approaches to analyzing spatial data, improved utilization of electronic data sources, advances using biomarkers of carcinogenesis, novel concepts for grouping cases, investigations of infectious etiology of cancer, and “omics” approaches.

  8. Identification of certain cancer-mediating genes using Gaussian fuzzy cluster validity index

    Anupam Ghosh; Rajat K De

    2015-10-01

    In this article, we have used an index, called Gaussian fuzzy index (GFI), recently developed by the authors, based on the notion of fuzzy set theory, for validating the clusters obtained by a clustering algorithm applied on cancer gene expression data. GFI is then used for the identification of genes that have altered quite significantly from normal state to carcinogenic state with respect to their mRNA expression patterns. The effectiveness of the methodology has been demonstrated on three gene expression cancer datasets dealing with human lung, colon and leukemia. The performance of GFI is compared with 19 exiting cluster validity indices. The results are appropriately validated biologically and statistically. In this context, we have used biochemical pathways, -value statistics of GO attributes, -test and -score for the validation of the results. It has been reported that GFI is capable of identifying high-quality enriched clusters of genes, and thereby is able to select more cancer-mediating genes.

  9. Addressing Childhood Cancer in Low-Resource Countries: Current Challenges, Strategies, and Recommendations.

    Mbah Afungchwi, Glenn; Challinor, Julia

    2016-07-01

    Children and adolescents represent a small, but critically important, number of patients with cancer worldwide (14.1 million newly diagnosed adults versus 160,000 children annually). The life years saved when a child is cured of cancer are about 71 compared to 15 years for an adult in most high-income countries (HICs). In HICs, about 80% of children survive cancer. Unfortunately, in low- and middle-income countries (LMICs), the survival rates are generally 50% or less. In these resource-limited settings, only 15%-37% of children and adolescents have access to cancer treatment, and most are diagnosed with advanced-stage disease, making cure impossible. PMID:27314196

  10. Risk of Anal Cancer in People Living with HIV: Addressing Anal Health in the HIV Primary Care Setting.

    Walker, Crystal Martin; Likes, Wendy; Bernard, Marye; Kedia, Satish; Tolley, Elizabeth

    2016-01-01

    Anal health and anal cancer are rarely addressed in HIV primary care. We sought to understand factors that impeded or promoted addressing anal health in HIV primary care from providers' perspectives. In this exploratory study, HIV primary care providers from the Mid-South region of the United States participated in brief individual interviews. We analyzed transcribed data to identify barriers and facilitators to addressing anal health. Our study sample included five physicians and four nurse practitioners. The data revealed a number of barriers such as perception of patient embarrassment, provider embarrassment, external issues such as time constraints, demand of other priorities, lack of anal complaints, lack of resources, and gender discordance. Facilitators included awareness, advantageous circumstances, and the patient-provider relationship. Anal health education should be prioritized for HIV primary care providers. Preventive health visits should be considered to mitigate time constraints, demands for other priorities, and unequal gender opportunities. PMID:27080925

  11. Opening Address

    Yamada, T.

    2014-12-01

    Ladies and Gentlemen, it is my great honor and pleasure to present an opening address of the 3rd International Workshop on "State of the Art in Nuclear Cluster Physics"(SOTANCP3). On the behalf of the organizing committee, I certainly welcome all your visits to KGU Kannai Media Center belonging to Kanto Gakuin University, and stay in Yokohama. In particular, to whom come from abroad more than 17 countries, I would appreciate your participations after long long trips from your homeland to Yokohama. The first international workshop on "State of the Art in Nuclear Cluster Physics", called SOTANCP, was held in Strasbourg, France, in 2008, and the second one was held in Brussels, Belgium, in 2010. Then the third workshop is now held in Yokohama. In this period, we had the traditional 10th cluster conference in Debrecen, Hungary, in 2012. Thus we have the traditional cluster conference and SOTANCP, one after another, every two years. This obviously shows our field of nuclear cluster physics is very active and flourishing. It is for the first time in about 10 years to hold the international workshop on nuclear cluster physics in Japan, because the last cluster conference held in Japan was in Nara in 2003, about 10 years ago. The president in Nara conference was Prof. K. Ikeda, and the chairpersons were Prof. H. Horiuchi and Prof. I. Tanihata. I think, quite a lot of persons in this room had participated at the Nara conference. Since then, about ten years passed. So, this workshop has profound significance for our Japanese colleagues. The subjects of this workshop are to discuss "the state of the art in nuclear cluster physics" and also discuss the prospect of this field. In a couple of years, we saw significant progresses of this field both in theory and in experiment, which have brought better and new understandings on the clustering aspects in stable and unstable nuclei. I think, the concept of clustering has been more important than ever. This is true also in the

  12. Are We Doing Enough to Address the Cancer Care Needs 
of the LGBT Community?

    Brown, Carlton; Mayer, Deborah K

    2015-06-01

    The 2011 film titled Gen Silent (http://gensilent.com) focuses on the needs and issues of six aging lesbian, gay, bisexual, and transgender (LGBT) people, at least two of whom had cancer. One of the issues made apparent in the film was the lack of trust in the healthcare system and the discrimination these individuals faced at a time when their needs were growing and they were increasingly vulnerable. It was sad and caused us to reflect on what we, as oncology nurses, are doing to meet the needs of LGBT individuals faced with a cancer diagnosis.
. PMID:26000571

  13. Addressing the health benefits and risks, involving vitamin D or skin cancer, of increased sun exposure

    Moan, Johan; Porojnicu, Alina Carmen; Dahlback, Arne; Setlow, Richard B.

    2008-01-01

    Solar radiation is the main cause of skin cancers. However, it also is a main source of vitamin D for humans. Because the optimal status of vitamin D protects against internal cancers and a number of other diseases, a controversy exists: Will increased sun exposure lead to net health benefits or risks? We calculated the relative yield of vitamin D photosynthesis as a function of latitude with a radiative transfer model and cylinder geometry for the human skin surface. The annual yield of vita...

  14. Strategies for Integrated Analysis of Genetic, Epigenetic, and Gene Expression Variation in Cancer: Addressing the Challenges

    Thingholm, Louise Bruun; Andersen, Lars; Makalic, Enes;

    2016-01-01

    The development and progression of cancer, a collection of diseases with complex genetic architectures, is facilitated by the interplay of multiple etiological factors. This complexity challenges the traditional single-platform study design and calls for an integrated approach to data analysis. H...

  15. Local bladder cancer clusters in southeastern Michigan accounting for risk factors, covariates and residential mobility.

    Geoffrey M Jacquez

    Full Text Available In case control studies disease risk not explained by the significant risk factors is the unexplained risk. Considering unexplained risk for specific populations, places and times can reveal the signature of unidentified risk factors and risk factors not fully accounted for in the case-control study. This potentially can lead to new hypotheses regarding disease causation.Global, local and focused Q-statistics are applied to data from a population-based case-control study of 11 southeast Michigan counties. Analyses were conducted using both year- and age-based measures of time. The analyses were adjusted for arsenic exposure, education, smoking, family history of bladder cancer, occupational exposure to bladder cancer carcinogens, age, gender, and race.Significant global clustering of cases was not found. Such a finding would indicate large-scale clustering of cases relative to controls through time. However, highly significant local clusters were found in Ingham County near Lansing, in Oakland County, and in the City of Jackson, Michigan. The Jackson City cluster was observed in working-ages and is thus consistent with occupational causes. The Ingham County cluster persists over time, suggesting a broad-based geographically defined exposure. Focused clusters were found for 20 industrial sites engaged in manufacturing activities associated with known or suspected bladder cancer carcinogens. Set-based tests that adjusted for multiple testing were not significant, although local clusters persisted through time and temporal trends in probability of local tests were observed.Q analyses provide a powerful tool for unpacking unexplained disease risk from case-control studies. This is particularly useful when the effect of risk factors varies spatially, through time, or through both space and time. For bladder cancer in Michigan, the next step is to investigate causal hypotheses that may explain the excess bladder cancer risk localized to areas of

  16. How do integrated health care systems address racial and ethnic disparities in colon cancer?

    Rhoads, KF; Patel, MI; Ma, Y.; Schmidt, LA

    2015-01-01

    © 2015 by American Society of Clinical Oncology. Purpose: Colorectal cancer (CRC) disparities have persisted over the last two decades. CRC is a complex disease requiring multidisciplinary care from specialists who may be geographically separated. Few studies have assessed the association between integrated health care system (IHS) CRC care quality, survival, and disparities. The purpose of this study was to determine if exposure to an IHS positively affects quality of care, risk of mortality...

  17. Near infrared observations of galaxies in the Coma supercluster and in the cancer cluster. II

    We present new near infrared observations of 110 galaxies in the Coma/A1367 supercluster region, and 40 galaxies in the Cancer cluster. These observations are part of an on-going investigation of the properties of normal galaxies and of their near-IR emission, which aims at obtaining homogeneous, multifrequency data for a large sample of galaxies in different density environments. The addition of these observations to the sample presented in Gavazzi and Trinchieri raises the number of Coma/A1367 galaxies with near-IR data to 275. Our measurements, together with data published by Bothun et al, give a sample of 45 spirals in the Cancer cluster

  18. mutation3D: Cancer Gene Prediction Through Atomic Clustering of Coding Variants in the Structural Proteome.

    Meyer, Michael J; Lapcevic, Ryan; Romero, Alfonso E; Yoon, Mark; Das, Jishnu; Beltrán, Juan Felipe; Mort, Matthew; Stenson, Peter D; Cooper, David N; Paccanaro, Alberto; Yu, Haiyuan

    2016-05-01

    A new algorithm and Web server, mutation3D (http://mutation3d.org), proposes driver genes in cancer by identifying clusters of amino acid substitutions within tertiary protein structures. We demonstrate the feasibility of using a 3D clustering approach to implicate proteins in cancer based on explorations of single proteins using the mutation3D Web interface. On a large scale, we show that clustering with mutation3D is able to separate functional from nonfunctional mutations by analyzing a combination of 8,869 known inherited disease mutations and 2,004 SNPs overlaid together upon the same sets of crystal structures and homology models. Further, we present a systematic analysis of whole-genome and whole-exome cancer datasets to demonstrate that mutation3D identifies many known cancer genes as well as previously underexplored target genes. The mutation3D Web interface allows users to analyze their own mutation data in a variety of popular formats and provides seamless access to explore mutation clusters derived from over 975,000 somatic mutations reported by 6,811 cancer sequencing studies. The mutation3D Web interface is freely available with all major browsers supported. PMID:26841357

  19. HSET overexpression fuels tumor progression via centrosome clustering-independent mechanisms in breast cancer patients

    Pannu, Vaishali; Rida, Padmashree C. G.; Ogden, Angela; Turaga, Ravi Chakra; Donthamsetty, Shashikiran; Bowen, Nathan J.; Rudd, Katie; Gupta, Meenakshi V.; Reid, Michelle D.; Cantuaria, Guilherme; Walczak, Claire E.; Aneja, Ritu

    2015-01-01

    Human breast tumors harbor supernumerary centrosomes in almost 80% of tumor cells. Although amplified centrosomes compromise cell viability via multipolar spindles resulting in death-inducing aneuploidy, cancer cells tend to cluster extra centrosomes during mitosis. As a result cancer cells display bipolar spindle phenotypes to maintain a tolerable level of aneuploidy, an edge to their survival. HSET/KifC1, a kinesin-like minus-end directed microtubule motor has recently found fame as a cruci...

  20. Cancer Data Clustering and Classification Based using Efnn_Pcamethod

    J. Saranya; Hemalatha, R.

    2014-01-01

    One challenge area inside the studies of natural phenomenon data is that the classifications of the expression dataset into correct classes. The distinctive nature of the of Obtainable natural phenomenon data set is that the foremost challenge. massive vary of extraneous attributes (genes), challenge arises from the applying domain of cancer classification. though Accuracy plays a major think about cancer classification, the biological conation is another key criterion, as any biological data...

  1. Heritable clustering and pathway discovery in breast cancer integrating epigenetic and phenotypic data

    Potter Dustin

    2007-02-01

    Full Text Available Abstract Background In order to recapitulate tumor progression pathways using epigenetic data, we developed novel clustering and pathway reconstruction algorithms, collectively referred to as heritable clustering. This approach generates a progression model of altered DNA methylation from tumor tissues diagnosed at different developmental stages. The samples act as surrogates for natural progression in breast cancer and allow the algorithm to uncover distinct epigenotypes that describe the molecular events underlying this process. Furthermore, our likelihood-based clustering algorithm has great flexibility, allowing for incomplete epigenotype or clinical phenotype data and also permitting dependencies among variables. Results Using this heritable clustering approach, we analyzed methylation data obtained from 86 primary breast cancers to recapitulate pathways of breast tumor progression. Detailed annotation and interpretation are provided to the optimal pathway recapitulated. The result confirms the previous observation that aggressive tumors tend to exhibit higher levels of promoter hypermethylation. Conclusion Our results indicate that the proposed heritable clustering algorithms are a useful tool for stratifying both methylation and clinical variables of breast cancer. The application to the breast tumor data illustrates that this approach can select meaningful progression models which may aid the interpretation of pathways having biological and clinical significance. Furthermore, the framework allows for other types of biological data, such as microarray gene expression or array CGH data, to be integrated.

  2. The Geographical Clusters of Gastrointestinal Tract Cancer in Fars Province, Southern Iran

    Mehrdad Askarian

    2014-01-01

    Conclusions: Analysis of the geographical distribution of GI.C will provide opportunities for policymakers for applying preventive measures. Furthermore, it could be helpful for researchers for future epidemiological studies for investigation of etiological agents in regions with significant spatial clustering of high incidence of cancer.

  3. Cluster analysis of Wisconsin Breast Cancer dataset using self-organizing maps.

    Pantazi, Stefan; Kagolovsky, Yuri; Moehr, Jochen R

    2002-01-01

    This work deals with multidimensional data analysis, precisely cluster analysis applied to a very well known dataset, the Wisconsin Breast Cancer dataset. After the introduction of the topics of the paper the cluster analysis concept is shortly explained and different methods of cluster analysis are compared. Further, the Kohonen model of self-organizing maps is briefly described together with an example and with explanations of how the cluster analysis can be performed using the maps. After describing the data set and the methodology used for the analysis we present the findings using textual as well as visual descriptions and conclude that the approach is a useful complement for assessing multidimensional data and that this dataset has been overused for automated decision benchmarking purposes, without a thorough analysis of the data it contains. PMID:15460731

  4. Lung Cancer Detection Using Fuzzy Auto-Seed Cluster Means Morphological Segmentation and SVM Classifier.

    Manikandan, T; Bharathi, N

    2016-07-01

    An effective fuzzy auto-seed cluster means morphological algorithm developed in this work to segment the lung nodules from the consecutive slices of Computer Tomography (CT) images to detect the lung cancer. The initial cluster values were chosen automatically by averaging the minimum and maximum pixel values in each row of an image. The area and eccentricity features were used to eliminate the line like structure and very tiny clusters less than 3 mm in size. The change in centroid analysis was carried out to eliminate the blood vessels. The tissue clusters whose centroid varies much in consecutive slices must be blood vessels. After eliminating the blood vessels, the co-occurrence matrix based texture features contrast, homogeneity and auto correlation were computed on the remaining nodules from the consecutive CT slices to discriminate the calcifications. The extracted centroid shift and texture features were used as the inputs to the Support Vector Machine (SVM) kernel classifier in order to classify the real malignant nodules. This work was carried out on 56 malignant (cancerous) cases and 50 normal cases (with lung infections), which had a total of 56 malignant nodules and 745 benign nodules. Out of these, 60 % of subjects (34 cancerous & 30 non-cancerous) were used for training. The remaining 40 % subjects (22 cancerous & 20 non-cancerous) were used for testing. This work produced a good sensitivity, specificity and accuracy of 100 %, 93 % and 94 %, respectively. The False Positive (FP) per patient was calculated as 0.38. PMID:27299354

  5. Polyclonal breast cancer metastases arise from collective dissemination of keratin 14-expressing tumor cell clusters.

    Cheung, Kevin J; Padmanaban, Veena; Silvestri, Vanesa; Schipper, Koen; Cohen, Joshua D; Fairchild, Amanda N; Gorin, Michael A; Verdone, James E; Pienta, Kenneth J; Bader, Joel S; Ewald, Andrew J

    2016-02-16

    Recent genomic studies challenge the conventional model that each metastasis must arise from a single tumor cell and instead reveal that metastases can be composed of multiple genetically distinct clones. These intriguing observations raise the question: How do polyclonal metastases emerge from the primary tumor? In this study, we used multicolor lineage tracing to demonstrate that polyclonal seeding by cell clusters is a frequent mechanism in a common mouse model of breast cancer, accounting for >90% of metastases. We directly observed multicolored tumor cell clusters across major stages of metastasis, including collective invasion, local dissemination, intravascular emboli, circulating tumor cell clusters, and micrometastases. Experimentally aggregating tumor cells into clusters induced a >15-fold increase in colony formation ex vivo and a >100-fold increase in metastasis formation in vivo. Intriguingly, locally disseminated clusters, circulating tumor cell clusters, and lung micrometastases frequently expressed the epithelial cytoskeletal protein, keratin 14 (K14). RNA-seq analysis revealed that K14(+) cells were enriched for desmosome and hemidesmosome adhesion complex genes, and were depleted for MHC class II genes. Depletion of K14 expression abrogated distant metastases and disrupted expression of multiple metastasis effectors, including Tenascin C (Tnc), Jagged1 (Jag1), and Epiregulin (Ereg). Taken together, our findings reveal K14 as a key regulator of metastasis and establish the concept that K14(+) epithelial tumor cell clusters disseminate collectively to colonize distant organs. PMID:26831077

  6. HSET overexpression fuels tumor progression via centrosome clustering-independent mechanisms in breast cancer patients

    Pannu, Vaishali; Rida, Padmashree C.G.; Ogden, Angela; Turaga, Ravi Chakra; Donthamsetty, Shashikiran; Bowen, Nathan J.; Rudd, Katie; Gupta, Meenakshi V.; Reid, Michelle D.; Cantuaria, Guilherme; Walczak, Claire E.; Aneja, Ritu

    2015-01-01

    Human breast tumors harbor supernumerary centrosomes in almost 80% of tumor cells. Although amplified centrosomes compromise cell viability via multipolar spindles resulting in death-inducing aneuploidy, cancer cells tend to cluster extra centrosomes during mitosis. As a result cancer cells display bipolar spindle phenotypes to maintain a tolerable level of aneuploidy, an edge to their survival. HSET/KifC1, a kinesin-like minus-end directed microtubule motor has recently found fame as a crucial centrosome clustering molecule. Here we show that HSET promotes tumor progression via mechanisms independent of centrosome clustering. We found that HSET is overexpressed in breast carcinomas wherein nuclear HSET accumulation correlated with histological grade and predicted poor progression-free and overall survival. In addition, deregulated HSET protein expression was associated with gene amplification and/or translocation. Our data provide compelling evidence that HSET overexpression is pro-proliferative, promotes clonogenic-survival and enhances cell-cycle kinetics through G2 and M-phases. Importantly, HSET co-immunoprecipitates with survivin, and its overexpression protects survivin from proteasome-mediated degradation, resulting in its increased steady-state levels. We provide the first evidence of centrosome clustering-independent activities of HSET that fuel tumor progression and firmly establish that HSET can serve both as a potential prognostic biomarker and as a valuable cancer-selective therapeutic target. PMID:25788277

  7. HSET overexpression fuels tumor progression via centrosome clustering-independent mechanisms in breast cancer patients.

    Pannu, Vaishali; Rida, Padmashree C G; Ogden, Angela; Turaga, Ravi Chakra; Donthamsetty, Shashikiran; Bowen, Nathan J; Rudd, Katie; Gupta, Meenakshi V; Reid, Michelle D; Cantuaria, Guilherme; Walczak, Claire E; Aneja, Ritu

    2015-03-20

    Human breast tumors harbor supernumerary centrosomes in almost 80% of tumor cells. Although amplified centrosomes compromise cell viability via multipolar spindles resulting in death-inducing aneuploidy, cancer cells tend to cluster extra centrosomes during mitosis. As a result cancer cells display bipolar spindle phenotypes to maintain a tolerable level of aneuploidy, an edge to their survival. HSET/KifC1, a kinesin-like minus-end directed microtubule motor has recently found fame as a crucial centrosome clustering molecule. Here we show that HSET promotes tumor progression via mechanisms independent of centrosome clustering. We found that HSET is overexpressed in breast carcinomas wherein nuclear HSET accumulation correlated with histological grade and predicted poor progression-free and overall survival. In addition, deregulated HSET protein expression was associated with gene amplification and/or translocation. Our data provide compelling evidence that HSET overexpression is pro-proliferative, promotes clonogenic-survival and enhances cell-cycle kinetics through G2 and M-phases. Importantly, HSET co-immunoprecipitates with survivin, and its overexpression protects survivin from proteasome-mediated degradation, resulting in its increased steady-state levels. We provide the first evidence of centrosome clustering-independent activities of HSET that fuel tumor progression and firmly establish that HSET can serve both as a potential prognostic biomarker and as a valuable cancer-selective therapeutic target. PMID:25788277

  8. Synthesis and Structure-Activity Relationship of Griseofulvin Analogues as Inhibitors of Centrosomal Clustering in Cancer Cells

    Rønnest, Mads Holger; Rebacz, Blanka; Markworth, Lene;

    2009-01-01

    Griseofulvin was identified as an inhibitor of centrosomal clustering in a recently developed assay. Centrosomal clustering is an important cellular event that enables bipolar mitosis for cancer cell lines harboring supernumerary centrosomes. We report herein the synthesis and SAR of 34 griseoful......Griseofulvin was identified as an inhibitor of centrosomal clustering in a recently developed assay. Centrosomal clustering is an important cellular event that enables bipolar mitosis for cancer cell lines harboring supernumerary centrosomes. We report herein the synthesis and SAR of 34...

  9. Cost-effectiveness of oral cancer screening: results from a cluster randomized controlled trial in India

    Sujha Subramanian

    2009-03-01

    Full Text Available OBJECTIVE: To evaluate oral cancer screening by visual inspection. METHODS: A cluster randomized controlled trial was initiated in Trivandrum district, Kerala, India. Of 13 population clusters, seven were randomly allocated to three rounds of screening between 1996 and 2004, while standard care was provided in six (control arm. An activity-based approach was employed to calculate costs associated with various components of the screening trial. Information on the resources used and on clinical events in each trial arm was derived from trial databases. Total costs for each cluster were estimated in 2004 United States dollars (US$. The incremental cost per life-year saved was calculated for all eligible individuals and for high-risk individuals (i.e. tobacco or alcohol users. FINDINGS: The proportion of oral cancers detected at an early stage (i.e. stage I or II was higher in the intervention arm than the control arm (42% versus 24%, respectively. The incremental cost per life-year saved was US$ 835 for all individuals eligible for screening and US$ 156 for high-risk individuals. Oral cancer screening by visual inspection was performed for under US$ 6 per person. CONCLUSION: The most cost-effective approach to oral cancer screening by visual inspection is to offer it to the high-risk population. Targeted screening of this group will ensure that screening can be offered at a reasonable cost in a limited-resource setting.

  10. Non-negative matrix factorization by maximizing correntropy for cancer clustering

    Wang, Jim Jing-Yan

    2013-03-24

    Background: Non-negative matrix factorization (NMF) has been shown to be a powerful tool for clustering gene expression data, which are widely used to classify cancers. NMF aims to find two non-negative matrices whose product closely approximates the original matrix. Traditional NMF methods minimize either the l2 norm or the Kullback-Leibler distance between the product of the two matrices and the original matrix. Correntropy was recently shown to be an effective similarity measurement due to its stability to outliers or noise.Results: We propose a maximum correntropy criterion (MCC)-based NMF method (NMF-MCC) for gene expression data-based cancer clustering. Instead of minimizing the l2 norm or the Kullback-Leibler distance, NMF-MCC maximizes the correntropy between the product of the two matrices and the original matrix. The optimization problem can be solved by an expectation conditional maximization algorithm.Conclusions: Extensive experiments on six cancer benchmark sets demonstrate that the proposed method is significantly more accurate than the state-of-the-art methods in cancer clustering. 2013 Wang et al.; licensee BioMed Central Ltd.

  11. Addressing Burnout in Oncology: Why Cancer Care Clinicians Are At Risk, What Individuals Can Do, and How Organizations Can Respond.

    Hlubocky, Fay J; Back, Anthony L; Shanafelt, Tait D

    2016-01-01

    Despite their benevolent care of others, today, more than ever, the cancer care professional who experiences overwhelming feelings of exhaustion, cynicism, and inefficacy is in grave jeopardy of developing burnout. Clinicians are repeatedly physically and emotionally exposed to exceedingly long hours in direct care with seriously ill patients/families, limited autonomy over daily responsibilities, endless electronic documentation, and a shifting medical landscape. The physical and emotional well-being of the cancer care clinician is critical to the impact on quality care, patient satisfaction, and overall success of their organizations. The prevention of burnout as well as targeting established burnout need to be proactively addressed at the individual level and organizational level. In fact, confronting burnout and promoting wellness are the shared responsibility of both oncology clinicians and their organizations. From an individual perspective, oncology clinicians must be empowered to play a crucial role in enhancing their own wellness by identification of burnout symptoms in both themselves and their colleagues, learning resilience strategies (e.g., mindful self-compassion), and cultivating positive relationships with fellow clinician colleagues. At the organizational level, leadership must recognize the importance of oncology clinician well-being; engage leaders and physicians in collaborative action planning, improve overall practice environment, and provide institutional wellness resources to physicians. These effective individual and organizational interventions are crucial for the prevention and improvement of overall clinician wellness and must be widely and systematically integrated into oncology care. PMID:27249706

  12. Anticancer drug clustering in lung cancer based on gene expression profiles and sensitivity database

    The effect of current therapies in improving the survival of lung cancer patients remains far from satisfactory. It is consequently desirable to find more appropriate therapeutic opportunities based on informed insights. A molecular pharmacological analysis was undertaken to design an improved chemotherapeutic strategy for advanced lung cancer. We related the cytotoxic activity of each of commonly used anti-cancer agents (docetaxel, paclitaxel, gemcitabine, vinorelbine, 5-FU, SN38, cisplatin (CDDP), and carboplatin (CBDCA)) to corresponding expression pattern in each of the cell lines using a modified NCI program. We performed gene expression analysis in lung cancer cell lines using cDNA filter and high-density oligonucleotide arrays. We also examined the sensitivity of these cell lines to these drugs via MTT assay. To obtain our reproducible gene-drug sensitivity correlation data, we separately analyzed two sets of lung cancer cell lines, namely 10 and 19. In our gene-drug correlation analyses, gemcitabine consistently belonged to an isolated cluster in a reproducible fashion. On the other hand, docetaxel, paclitaxel, 5-FU, SN-38, CBDCA and CDDP were gathered together into one large cluster. These results suggest that chemotherapy regimens including gemcitabine should be evaluated in second-line chemotherapy in cases where the first-line chemotherapy did not include this drug. Gene expression-drug sensitivity correlations, as provided by the NCI program, may yield improved therapeutic options for treatment of specific tumor types

  13. The Geographical Clusters of Gastrointestinal Tract Cancer in Fars Province, Southern Iran

    Mehrdad Askarian; Ali Goli; Mahbobeh Oroei; Hossein Faramarzi

    2014-01-01

    Background: Gastrointestinal tract cancer (GI.C) is one of the common cancers in world-wide. The incidence rate of it is different in various geographical regions. This study was performed to assess spatial clusters of the occurrence of GI.C in Fars Province. Methods: In this cross-sectional study, the new cases were 4569 cases from 2001 to 2009. The crude incidence rates were standardized based on world population for both sexes. The spatial analysis was conducted using the geographical ...

  14. Families of microRNAs Expressed in Clusters Regulate Cell Signaling in Cervical Cancer

    Luis Steven Servín-González

    2015-06-01

    Full Text Available Tumor cells have developed advantages to acquire hallmarks of cancer like apoptosis resistance, increased proliferation, migration, and invasion through cell signaling pathway misregulation. The sequential activation of genes in a pathway is regulated by miRNAs. Loss or gain of miRNA expression could activate or repress a particular cell axis. It is well known that aberrant miRNA expression is well recognized as an important step in the development of cancer. Individual miRNA expression is reported without considering that miRNAs are grouped in clusters and may have similar functions, such as the case of clusters with anti-oncomiRs (23b~27b~24-1, miR-29a~29b-1, miR-29b-2~29c, miR-99a~125b-2, miR-99b~125a, miR-100~125b-1, miR-199a-2~214, and miR-302s or oncomiRs activity (miR-1-1~133a-2, miR-1-2~133a-1, miR-133b~206, miR-17~92, miR-106a~363, miR183~96~182, miR-181a-1~181b-1, and miR-181a-2~181b-2, which regulated mitogen-activated protein kinases (MAPK, phosphatidylinositol-4,5-bisphosphate 3-kinase (PI3K, NOTCH, proteasome-culling rings, and apoptosis cell signaling. In this work we point out the pathways regulated by families of miRNAs grouped in 20 clusters involved in cervical cancer. Reviewing how miRNA families expressed in cluster-regulated cell path signaling will increase the knowledge of cervical cancer progression, providing important information for therapeutic, diagnostic, and prognostic methodology design.

  15. eMBI: Boosting Gene Expression-based Clustering for Cancer Subtypes.

    Chang, Zheng; Wang, Zhenjia; Ashby, Cody; Zhou, Chuan; Li, Guojun; Zhang, Shuzhong; Huang, Xiuzhen

    2014-01-01

    Identifying clinically relevant subtypes of a cancer using gene expression data is a challenging and important problem in medicine, and is a necessary premise to provide specific and efficient treatments for patients of different subtypes. Matrix factorization provides a solution by finding checker-board patterns in the matrices of gene expression data. In the context of gene expression profiles of cancer patients, these checkerboard patterns correspond to genes that are up- or down-regulated in patients with particular cancer subtypes. Recently, a new matrix factorization framework for biclustering called Maximum Block Improvement (MBI) is proposed; however, it still suffers several problems when applied to cancer gene expression data analysis. In this study, we developed many effective strategies to improve MBI and designed a new program called enhanced MBI (eMBI), which is more effective and efficient to identify cancer subtypes. Our tests on several gene expression profiling datasets of cancer patients consistently indicate that eMBI achieves significant improvements in comparison with MBI, in terms of cancer subtype prediction accuracy, robustness, and running time. In addition, the performance of eMBI is much better than another widely used matrix factorization method called nonnegative matrix factorization (NMF) and the method of hierarchical clustering, which is often the first choice of clinical analysts in practice. PMID:25374455

  16. Cluster of liver cancer and immigration: A geographic analysis of incidence data for Ontario 1998–2002

    Mao Yang

    2008-06-01

    Full Text Available Abstract Background Liver cancer is not common in Canada in general; however, clustering of the disease causes a concern. We conducted a spatial analysis to determine the geographic variation of liver cancer and its association with the proportion of immigration in Ontario. Liver cancer incidence data between 1998 and 2002 were obtained from the Ontario Cancer Registry. The Canadian Community Health Survey (CCHS in 2001 provided information on potential risk factors. Results Age standardized incidence ratios (SIR for liver cancer and prevalence of potential risk factors were calculated for each of 35 health regions. The SIRs for liver cancer varied across the 35 health regions (p Conclusion Immigration is an important reason for the clustering of liver cancer in Ontario. More attention should be paid to areas with a high proportion of immigrants.

  17. Geographical clustering of prostate cancer grade and stage at diagnosis, before and after adjustment for risk factors

    Curriero Frank

    2005-01-01

    Full Text Available Abstract Background Spatial variation in patterns of disease outcomes is often explored with techniques such as cluster detection analysis. In other types of investigations, geographically varying individual or community level characteristics are often used as independent predictors in statistical models which also attempt to explain variation in disease outcomes. However, there is a lack of research which combines geographically referenced exploratory analysis with multilevel models. We used a spatial scan statistic approach, in combination with predicted block group-level disease patterns from multilevel models, to examine geographic variation in prostate cancer grade and stage at diagnosis. Results We examined data from 20928 Maryland men with incident prostate cancer reported to the Maryland Cancer Registry during 1992–1997. Initial cluster detection analyses, prior to adjustment, indicated that there were four statistically significant clusters of high and low rates of each outcome (later stage at diagnosis and higher histologic grade of tumor for prostate cancer cases in Maryland during 1992–1997. After adjustment for individual case attributes, including age, race, year of diagnosis, patterns of clusters changed for both outcomes. Additional adjustment for Census block group and county-level socioeconomic measures changed the cluster patterns further. Conclusions These findings provide evidence that, in locations where adjustment changed patterns of clusters, the adjustment factors may be contributing causes of the original clusters. In addition, clusters identified after adjusting for individual and area-level predictors indicate area of unexplained variation, and merit further small-area investigations.

  18. Mapping the chromosome 16 cadherin gene cluster to a minimal deleted region in ductal breast cancer.

    Chalmers, I J; Aubele, M; Hartmann, E; Braungart, E; Werner, M; Höfler, H; Atkinson, M J

    2001-04-01

    The cadherin family of cell adhesion molecules has been implicated in tumor metastasis and progression. Eight family members have been mapped to the long arm of chromosome 16. Using radiation hybrid mapping, we have located six of these genes within a cluster at 16q21-q22.1. In invasive lobular carcinoma of the breast frequent LOH and accompanying mutation affect the CDH1 gene, which is a member of this chromosome 16 gene cluster. CDH1 LOH also occurs in invasive ductal carcinoma, but in the absence of gene mutation. The proximity of other cadherin genes to 16q22.1 suggests that they may be affected by LOH in invasive ductal carcinomas. Using the mapping data, microsatellite markers were selected which span regions of chromosome 16 containing the cadherin genes. In breast cancer tissues, a high rate of allelic loss was found over the gene cluster region, with CDH1 being the most frequently lost marker. In invasive ductal carcinoma a minimal deleted region was identified within part of the chromosome 16 cadherin gene cluster. This provides strong evidence for the existence of a second 16q22 suppressor gene locus within the cadherin cluster. PMID:11343777

  19. Addressing Methodological Challenges in Large Communication Data Sets: Collecting and Coding Longitudinal Interactions in Home Hospice Cancer Care.

    Reblin, Maija; Clayton, Margaret F; John, Kevin K; Ellington, Lee

    2016-07-01

    In this article, we present strategies for collecting and coding a large longitudinal communication data set collected across multiple sites, consisting of more than 2000 hours of digital audio recordings from approximately 300 families. We describe our methods within the context of implementing a large-scale study of communication during cancer home hospice nurse visits, but this procedure could be adapted to communication data sets across a wide variety of settings. This research is the first study designed to capture home hospice nurse-caregiver communication, a highly understudied location and type of communication event. We present a detailed example protocol encompassing data collection in the home environment, large-scale, multisite secure data management, the development of theoretically-based communication coding, and strategies for preventing coder drift and ensuring reliability of analyses. Although each of these challenges has the potential to undermine the utility of the data, reliability between coders is often the only issue consistently reported and addressed in the literature. Overall, our approach demonstrates rigor and provides a "how-to" example for managing large, digitally recorded data sets from collection through analysis. These strategies can inform other large-scale health communication research. PMID:26580414

  20. Innovative patient-centered skills training addressing challenging issues in cancer communications: Using patient's stories that teach.

    Bishop, Thomas W; Gorniewicz, James; Floyd, Michael; Tudiver, Fred; Odom, Amy; Zoppi, Kathy

    2016-05-01

    This workshop demonstrated the utility of a patient-centered web-based/digital Breaking Bad News communication training module designed to educate learners of various levels and disciplines. This training module is designed for independent, self-directed learning as well as group instruction. These interactive educational interventions are based upon video-recorded patient stories. Curriculum development was the result of an interdisciplinary, collaborative effort involving faculty from the East Tennessee State University (ETSU) Graduate Storytelling Program and the departments of Family and Internal Medicine at the James H. Quillen College of Medicine. The specific goals of the BBN training module are to assist learners in: (1) understanding a five-step patient-centered model that is based upon needs, preferences, and expectations of patients with cancer and (2) individualizing communication that is consistent with patient preferences in discussing emotions, informational detail, prognosis and timeline, and whether or not to discuss end-of-life issues. The pedagogical approach to the training module is to cycle through Emotional Engagement, Data, Modeled Practices, Adaptation Opportunities, and Feedback. The communication skills addressed are rooted in concepts found within the Reaching Common Ground communication training. A randomized control study investigating the effectiveness of the Breaking Bad News module found that medical students as well as resident physicians improved their communication skills as measured by an Objective Structured Clinical Examination. Four other similarly designed modules were also created: Living Through Treatment, Transitions: From Curable to Treatable/From Treatable to End-of-Life, Spirituality, and Family. PMID:27497456

  1. Health literacy in relation to cancer: addressing the silence about and absence of cancer discussion among Aboriginal people, communities and health services.

    Treloar, Carla; Gray, Rebecca; Brener, Loren; Jackson, Clair; Saunders, Veronica; Johnson, Priscilla; Harris, Magdalena; Butow, Phyllis; Newman, Christy

    2013-11-01

    Cancer outcomes for Aboriginal Australians are poorer when compared with cancer outcomes for non-Aboriginal Australians despite overall improvements in cancer outcomes. One concept used to examine inequities in health outcomes between groups is health literacy. Recent research and advocacy have pointed to the importance of increasing health literacy as it relates to cancer among Aboriginal people. This study examined individual, social and cultural aspects of health literacy relevant to cancer among Aboriginal patients, carers and their health workers in New South Wales. Qualitative interviews were conducted with 22 Aboriginal people who had been diagnosed with cancer, 18 people who were carers of Aboriginal people with cancer and 16 healthcare workers (eight Aboriginal and eight non-Aboriginal health workers). Awareness, knowledge and experience of cancer were largely absent from people's lives and experiences until they were diagnosed, illustrating the need for cancer awareness raising among Aboriginal people, communities and services. Some beliefs about cancer (particularly equating cancer to death) differed from mainstream Western biomedical views of the body and cancer and this served to silence discussion on cancer. As such, these beliefs can be used to inform communication and help illuminate how beliefs can shape responses to cancer. Participants proposed some practical strategies that could work to fill absences in knowledge and build on beliefs about cancer. These results were characterised by a silence about cancer, an absence of discussions of cancer and an acknowledgement of an already full health agenda for Aboriginal communities. To promote health literacy in relation to cancer would require a multi-layered programme of work involving grass-roots community education, workers and Board members of Aboriginal community-controlled health organisations and speciality cancer services, with a particular focus on programmes to bridge community-based primary

  2. Randomized trial addressing risk features and time factors of surgery plus radiotherapy in advanced head-and-neck cancer

    Purpose: A multi-institutional, prospective, randomized trial was undertaken in patients with advanced head-and-neck squamous cell carcinoma to address (1) the validity of using pathologic risk features, established from a previous study, to determine the need for, and dose of, postoperative radiotherapy (PORT); (2) the impact of accelerating PORT using a concomitant boost schedule; and (3) the importance of the overall combined treatment duration on the treatment outcome. Methods and Materials: Of 288 consecutive patients with advanced disease registered preoperatively, 213 fulfilled the trial criteria and went on to receive therapy predicated on a set of pathologic risk features: no PORT for the low-risk group (n=31); 57.6 Gy during 6.5 weeks for the intermediate-risk group (n=31); and, by random assignment, 63 Gy during 5 weeks (n=76) or 7 weeks (n=75) for the high-risk group. Patients were irradiated with standard techniques appropriate to the site of disease and likely areas of spread. The study end points were locoregional control (LRC), survival, and morbidity. Results: Patients with low or intermediate risks had significantly higher LRC and survival rates than those with high-risk features (p=0.003 and p=0.0001, respectively), despite receiving no PORT or lower dose PORT, respectively. For high-risk patients, a trend toward higher LRC and survival rates was noted when PORT was delivered in 5 rather than 7 weeks. A prolonged interval between surgery and PORT in the 7-week schedule was associated with significantly lower LRC (p=0.03) and survival (p=0.01) rates. Consequently, the cumulative duration of combined therapy had a significant impact on the LRC (p=0.005) and survival (p=0.03) rates. A 2-week reduction in the PORT duration by using the concomitant boost technique did not increase the late treatment toxicity. Conclusions: This Phase III trial established the power of risk assessment using pathologic features in determining the need for, and dose of

  3. Cluster detection methods applied to the Upper Cape Cod cancer data

    Ozonoff David

    2005-09-01

    Full Text Available Abstract Background A variety of statistical methods have been suggested to assess the degree and/or the location of spatial clustering of disease cases. However, there is relatively little in the literature devoted to comparison and critique of different methods. Most of the available comparative studies rely on simulated data rather than real data sets. Methods We have chosen three methods currently used for examining spatial disease patterns: the M-statistic of Bonetti and Pagano; the Generalized Additive Model (GAM method as applied by Webster; and Kulldorff's spatial scan statistic. We apply these statistics to analyze breast cancer data from the Upper Cape Cancer Incidence Study using three different latency assumptions. Results The three different latency assumptions produced three different spatial patterns of cases and controls. For 20 year latency, all three methods generally concur. However, for 15 year latency and no latency assumptions, the methods produce different results when testing for global clustering. Conclusion The comparative analyses of real data sets by different statistical methods provides insight into directions for further research. We suggest a research program designed around examining real data sets to guide focused investigation of relevant features using simulated data, for the purpose of understanding how to interpret statistical methods applied to epidemiological data with a spatial component.

  4. Welcome Address

    Kiku, H.

    2014-12-01

    Ladies and Gentlemen, It is an honor for me to present my welcome address in the 3rd International Workshop on "State of the Art in Nuclear Cluster Physics"(SOTANCP3), as the president of Kanto Gakuin University. Particularly to those from abroad more than 17 countries, I am very grateful for your participation after long long trips from your home to Yokohama. On the behalf of the Kanto Gakuin University, we certainly welcome your visit to our university and stay in Yokohama. First I would like to introduce Kanto Gakuin University briefly. Kanto Gakuin University, which is called KGU, traces its roots back to the Yokohama Baptist Seminary founded in 1884 in Yamate, Yokohama. The seminary's founder was Albert Arnold Bennett, alumnus of Brown University, who came to Japan from the United States to establish a theological seminary for cultivating and training Japanese missionaries. Now KGU is a major member of the Kanto Gakuin School Corporation, which is composed of two kindergartens, two primary schools, two junior high schools, two senior high schools as well as KGU. In this university, we have eight faculties with graduate school including Humanities, Economics, Law, Sciences and Engineering, Architecture and Environmental Design, Human and Environmental Studies, Nursing, and Law School. Over eleven thousands students are currently learning in our university. By the way, my major is the geotechnical engineering, and I belong to the faculty of Sciences and Engineering in my university. Prof. T. Yamada, here, is my colleague in the same faculty. I know that the nuclear physics is one of the most active academic fields in the world. In fact, about half of the participants, namely, more than 50 scientists, come from abroad in this conference. Moreover, I know that the nuclear physics is related to not only the other fundamental physics such as the elementary particle physics and astrophysics but also chemistry, medical sciences, medical cares, and radiation metrology

  5. Which benefits and harms of preoperative radiotherapy should be addressed? A Delphi consensus study among rectal cancer patients and radiation oncologists

    Background and purpose: We previously found considerable variation in information provision on preoperative radiotherapy (PRT) in rectal cancer. Our aims were to reach consensus among patients and oncologists on which benefits/harms of PRT should be addressed during the consultation, and to assess congruence with daily clinical practice. Materials and methods: A four-round Delphi-study was conducted with two expert panels: (1) 31 treated rectal cancer patients and (2) 35 radiation oncologists. Thirty-seven possible benefits/harms were shown. Participants indicated whether addressing the benefit/harm was (1) essential, (2) desired, (3) not necessary, or (4) to be avoided. Consensus was assumed when ⩾80% of the panel agreed. Results were compared to 81 audio-taped consultations. Results: The panels reached consensus that six topics should be addressed in all patients (local control, survival, long term altered defecation pattern and faecal incontinence, perineal wound healing problems, advice to avoid pregnancy), three in male patients (erectile dysfunction, ejaculation disorder, infertility), and four in female patients (vaginal dryness, pain during intercourse, menopause, infertility). On average, less than half of these topics were addressed in daily clinical practice. Conclusions: This study showed substantial overlap between benefits/harms that patients and oncologists consider important to address during the consultation, and at the same time poor congruence with daily clinical practice

  6. Functional categories associated with clusters of genes that are co-expressed across the NCI-60 cancer cell lines.

    Barry R Zeeberg

    Full Text Available BACKGROUND: The NCI-60 is a panel of 60 diverse human cancer cell lines used by the U.S. National Cancer Institute to screen compounds for anticancer activity. In the current study, gene expression levels from five platforms were integrated to yield a single composite transcriptome profile. The comprehensive and reliable nature of that dataset allows us to study gene co-expression across cancer cell lines. METHODOLOGY/PRINCIPAL FINDINGS: Hierarchical clustering revealed numerous clusters of genes in which the genes co-vary across the NCI-60. To determine functional categorization associated with each cluster, we used the Gene Ontology (GO Consortium database and the GoMiner tool. GO maps genes to hierarchically-organized biological process categories. GoMiner can leverage GO to perform ontological analyses of gene expression studies, generating a list of significant functional categories. CONCLUSIONS/SIGNIFICANCE: GoMiner analysis revealed many clusters of coregulated genes that are associated with functional groupings of GO biological process categories. Notably, those categories arising from coherent co-expression groupings reflect cancer-related themes such as adhesion, cell migration, RNA splicing, immune response and signal transduction. Thus, these clusters demonstrate transcriptional coregulation of functionally-related genes.

  7. The Activities and Impact of State Programs to Address Hereditary Breast and Ovarian Cancer, 2011–2014

    Trivers, Katrina F.; Rodriguez, Juan L.; Cox, Summer L.; Crane, Barbara E.; Debra Duquette

    2015-01-01

    In 2011, the Division of Cancer Prevention and Control (DCPC), at the United States Centers for Disease Control and Prevention (CDC), released a three-year funding opportunity announcement (FOA) for a competitive, non-research cooperative agreement. The agreement enhanced the capacities of state health departments to promote the application of best practices for evidence-based breast cancer genomics through education, surveillance, and policy activities. The FOA required that applicants focus...

  8. Pharmacokinetic analysis and k-means clustering of DCEMR images for radiotherapy outcome prediction of advanced cervical cancers

    Introduction. Pharmacokinetic analysis of dynamic contrast enhanced magnetic resonance images (DCEMRI) allows for quantitative characterization of vascular properties of tumors. The aim of this study is twofold, first to determine if tumor regions with similar vascularization could be labeled by clustering methods, second to determine if the identified regions can be associated with local cancer relapse. Materials and methods. Eighty-one patients with locally advanced cervical cancer treated with chemoradiotherapy underwent DCEMRI with Gd-DTPA prior to external beam radiotherapy. The median follow-up time after treatment was four years, in which nine patients had primary tumor relapse. By fitting a pharmacokinetic two-compartment model function to the temporal contrast enhancement in the tumor, two pharmacokinetic parameters, Ktrans and ue, were estimated voxel by voxel from the DCEMR-images. Intratumoral regions with similar vascularization were identified by k-means clustering of the two pharmacokinetic parameter estimates over all patients. The volume fraction of each cluster was used to evaluate the prognostic value of the clusters. Results. Three clusters provided a sufficient reduction of the cluster variance to label different vascular properties within the tumors. The corresponding median volume fraction of each cluster was 38%, 46% and 10%. The second cluster was significantly associated with primary tumor control in a log-rank survival test (p-value: 0.042), showing a decreased risk of treatment failure for patients with high volume fraction of voxels. Conclusions. Intratumoral regions showing similar vascular properties could successfully be labeled in three distinct clusters and the volume fraction of one cluster region was associated with primary tumor control

  9. Genomic distance entrained clustering and regression modelling highlights interacting genomic regions contributing to proliferation in breast cancer

    Dexter Tim J

    2010-09-01

    Full Text Available Abstract Background Genomic copy number changes and regional alterations in epigenetic states have been linked to grade in breast cancer. However, the relative contribution of specific alterations to the pathology of different breast cancer subtypes remains unclear. The heterogeneity and interplay of genomic and epigenetic variations means that large datasets and statistical data mining methods are required to uncover recurrent patterns that are likely to be important in cancer progression. Results We employed ridge regression to model the relationship between regional changes in gene expression and proliferation. Regional features were extracted from tumour gene expression data using a novel clustering method, called genomic distance entrained agglomerative (GDEC clustering. Using gene expression data in this way provides a simple means of integrating the phenotypic effects of both copy number aberrations and alterations in chromatin state. We show that regional metagenes derived from GDEC clustering are representative of recurrent regions of epigenetic regulation or copy number aberrations in breast cancer. Furthermore, detected patterns of genomic alterations are conserved across independent oestrogen receptor positive breast cancer datasets. Sequential competitive metagene selection was used to reveal the relative importance of genomic regions in predicting proliferation rate. The predictive model suggested additive interactions between the most informative regions such as 8p22-12 and 8q13-22. Conclusions Data-mining of large-scale microarray gene expression datasets can reveal regional clusters of co-ordinate gene expression, independent of cause. By correlating these clusters with tumour proliferation we have identified a number of genomic regions that act together to promote proliferation in ER+ breast cancer. Identification of such regions should enable prioritisation of genomic regions for combinatorial functional studies to pinpoint

  10. Addressing Breast Cancer Health Disparities in the Mississippi Delta Through an Innovative Partnership for Education, Detection, and Screening.

    Mayfield-Johnson, Susan; Fastring, Danielle; Fortune, Melody; White-Johnson, Freddie

    2016-06-01

    Projects to reduce disparities in cancer treatment and research include collaborative partnerships and multiple strategies to promote community awareness, education, and engagement. This is especially needed in underserved areas such as the Mississippi Delta where more women are diagnosed at regional and distant stages of breast cancer. The purpose for this project was to increase the relatively low screening rate for African American women in the Mississippi Delta through a partnership between the Mississippi Network for Cancer Control and Prevention at The University of Southern Mississippi, The Fannie Lou Hamer Cancer Foundation and the Mississippi State Department of Health to decrease health disparities in breast cancer through increased awareness on self-early detection methods, leveraging resources to provide mammography screenings, and adequate follow-up with services and treatment for abnormal findings. Through this collaborative effort, over 500 women in three rural Mississippi Delta counties were identified, provided community education on early self-detection, and given appointments for mammography screenings within one fiscal year. PMID:26578349

  11. The role of in-depth reproductive health counseling in addressing reproductive health concerns in female survivors of nongynecologic cancers.

    Shah, M S; Letourneau, J M; Niemasik, E E; Bleil, M; McCulloch, Charles E; Rosen, M P

    2016-01-01

    The purpose of this study was to characterize reproductive concerns among female cancer survivors and determine the role of targeted counseling in improving overall reproductive quality of life (QOL). A survey was administered to women from the California Cancer Registry, ages 18-40, with nongynecologic cancers diagnosed from 1993 to 2007, who received fertility-compromising treatments. In total, 356 women completed the survey, which included questions regarding their reproductive health counseling history and the reproductive concerns scale (RCS), a validated reproductive QOL tool. Factors independently associated with higher RCS scores included a desire for children at the time of diagnosis, posttreatment infertility, treatment with chemoradiation or bone marrow transplant, and income less than $100,000 per year at diagnosis. Among the highest reported reproductive concerns were those related to loss of control over one's reproductive future and concerns about the effect of illness on one's future fertility. Across our population and independent of age, in-depth reproductive health counseling prior to cancer treatment was associated with significantly lower RCS scores. Our findings highlight the importance of early counseling and targeting high-risk groups for additional counseling after completion of cancer treatment. This approach may be an effective strategy for optimizing long-term reproductive QOL in this vulnerable population. PMID:27144587

  12. A Gene Selection Approach based on Clustering for Classification Tasks in Colon Cancer

    José Antonio CASTELLANOS GARZÓN

    2016-06-01

    Full Text Available Gene selection (GS is an important research area in the analysis of DNA-microarray data, since it involves gene discovery meaningful for a particular target annotation or able to discriminate expression profiles of samples coming from different populations. In this context, a wide number of filter methods have been proposed in the literature to identify subsets of relevant genes in accordance with prefixed targets. Despite the fact that there is a wide number of proposals, the complexity imposed by this problem (GS remains a challenge. Hence, this paper proposes a novel approach for gene selection by using cluster techniques and filter methods on the found groupings to achieve informative gene subsets. As a result of applying our methodology to Colon cancer data, we have identified the best informative gene subset between several one subsets. According to the above, the reached results have proven the reliability of the approach given in this paper.

  13. Emergence of nanomedicine as cancer targeted magic bullets: recent development and need to address the toxicity apprehension.

    Rahman, Mahfoozur; Ahmad, Mohammad Zaki; Kazmi, Imran; Akhter, Sohail; Afzal, Muhammad; Gupta, Gaurav; Sinha, Vivek Ranjan

    2012-12-01

    Multi drug resistance and non specific targeting is a major problem with conventional therapy. To overcome this problem, nanoparticles (NPs) have emerged as an important tool to deliver conventional drugs, recombinant proteins, vaccines and more recently, nucleotides. NPs modify the drug release pattern, absorption, distribution, metabolism, excretion (ADME) and therapeutic response. This review focuses on the potential of nanotechnology in cancer and discusses the different nanoparticulate drug-delivery systems including quantum dot, iron oxide nanoparticles, gold nanoparticles, carbon nanotubes, silica nanoparticles, dendrimer, graphene and polymeric nanoparticles with their applications in therapeutics, diagnostics, and imaging pattern. Further, the recent development and progress of theranostic nanoparticles in the treatment of cancer and toxicity associated with nanoparticles is also covered here. PMID:22725687

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

    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.

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

    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

  16. Molecular-receptor-specific, non-toxic, near-infrared-emitting Au cluster-protein nanoconjugates for targeted cancer imaging

    Molecular-receptor-targeted imaging of folate receptor positive oral carcinoma cells using folic-acid-conjugated fluorescent Au25 nanoclusters (Au NCs) is reported. Highly fluorescent Au25 clusters were synthesized by controlled reduction of Au+ ions, stabilized in bovine serum albumin (BSA), using a green-chemical reducing agent, ascorbic acid (vitamin-C). For targeted-imaging-based detection of cancer cells, the clusters were conjugated with folic acid (FA) through amide linkage with the BSA shell. The bioconjugated clusters show excellent stability over a wide range of pH from 4 to 14 and fluorescence efficiency of ∼5.7% at pH 7.4 in phosphate buffer saline (PBS), indicating effective protection of nanoclusters by serum albumin during the bioconjugation reaction and cell-cluster interaction. The nanoclusters were characterized for their physico-chemical properties, toxicity and cancer targeting efficacy in vitro. X-ray photoelectron spectroscopy (XPS) suggests binding energies correlating to metal Au 4f7/2∼83.97 eV and Au 4f5/2∼87.768 eV. Transmission electron microscopy and atomic force microscopy revealed the formation of individual nanoclusters of size ∼1 nm and protein cluster aggregates of size ∼8 nm. Photoluminescence studies show bright fluorescence with peak maximum at ∼674 nm with the spectral profile covering the near-infrared (NIR) region, making it possible to image clusters at the 700-800 nm emission window where the tissue absorption of light is minimum. The cell viability and reactive oxygen toxicity studies indicate the non-toxic nature of the Au clusters up to relatively higher concentrations of 500 μg ml-1. Receptor-targeted cancer detection using Au clusters is demonstrated on FR+ve oral squamous cell carcinoma (KB) and breast adenocarcinoma cell MCF-7, where the FA-conjugated Au25 clusters were found internalized in significantly higher concentrations compared to the negative control cell lines. This study demonstrates the

  17. Molecular-receptor-specific, non-toxic, near-infrared-emitting Au cluster-protein nanoconjugates for targeted cancer imaging

    Retnakumari, Archana; Setua, Sonali; Menon, Deepthy; Ravindran, Prasanth; Nair, Shantikumar; Koyakutty, Manzoor [Amrita Centre for Nanoscience and Molecular Medicine, Amrita Institute of Medical Science, Cochin, 682 041 (India); Muhammed, Habeeb; Pradeep, Thalappil, E-mail: manzoor_nanomed@yahoo.com [Indian Institute of Technology, DST unit on Nanoscience, Chennai, 600 036 (India)

    2010-02-05

    Molecular-receptor-targeted imaging of folate receptor positive oral carcinoma cells using folic-acid-conjugated fluorescent Au{sub 25} nanoclusters (Au NCs) is reported. Highly fluorescent Au{sub 25} clusters were synthesized by controlled reduction of Au{sup +} ions, stabilized in bovine serum albumin (BSA), using a green-chemical reducing agent, ascorbic acid (vitamin-C). For targeted-imaging-based detection of cancer cells, the clusters were conjugated with folic acid (FA) through amide linkage with the BSA shell. The bioconjugated clusters show excellent stability over a wide range of pH from 4 to 14 and fluorescence efficiency of {approx}5.7% at pH 7.4 in phosphate buffer saline (PBS), indicating effective protection of nanoclusters by serum albumin during the bioconjugation reaction and cell-cluster interaction. The nanoclusters were characterized for their physico-chemical properties, toxicity and cancer targeting efficacy in vitro. X-ray photoelectron spectroscopy (XPS) suggests binding energies correlating to metal Au 4f{sub 7/2{approx}}83.97 eV and Au 4f{sub 5/2{approx}}87.768 eV. Transmission electron microscopy and atomic force microscopy revealed the formation of individual nanoclusters of size {approx}1 nm and protein cluster aggregates of size {approx}8 nm. Photoluminescence studies show bright fluorescence with peak maximum at {approx}674 nm with the spectral profile covering the near-infrared (NIR) region, making it possible to image clusters at the 700-800 nm emission window where the tissue absorption of light is minimum. The cell viability and reactive oxygen toxicity studies indicate the non-toxic nature of the Au clusters up to relatively higher concentrations of 500 {mu}g ml{sup -1}. Receptor-targeted cancer detection using Au clusters is demonstrated on FR{sup +ve} oral squamous cell carcinoma (KB) and breast adenocarcinoma cell MCF-7, where the FA-conjugated Au{sub 25} clusters were found internalized in significantly higher concentrations

  18. Molecular-receptor-specific, non-toxic, near-infrared-emitting Au cluster-protein nanoconjugates for targeted cancer imaging

    Retnakumari, Archana; Setua, Sonali; Menon, Deepthy; Ravindran, Prasanth; Muhammed, Habeeb; Pradeep, Thalappil; Nair, Shantikumar; Koyakutty, Manzoor

    2010-02-01

    Molecular-receptor-targeted imaging of folate receptor positive oral carcinoma cells using folic-acid-conjugated fluorescent Au25 nanoclusters (Au NCs) is reported. Highly fluorescent Au25 clusters were synthesized by controlled reduction of Au+ ions, stabilized in bovine serum albumin (BSA), using a green-chemical reducing agent, ascorbic acid (vitamin-C). For targeted-imaging-based detection of cancer cells, the clusters were conjugated with folic acid (FA) through amide linkage with the BSA shell. The bioconjugated clusters show excellent stability over a wide range of pH from 4 to 14 and fluorescence efficiency of ~5.7% at pH 7.4 in phosphate buffer saline (PBS), indicating effective protection of nanoclusters by serum albumin during the bioconjugation reaction and cell-cluster interaction. The nanoclusters were characterized for their physico-chemical properties, toxicity and cancer targeting efficacy in vitro. X-ray photoelectron spectroscopy (XPS) suggests binding energies correlating to metal Au 4f7/2~83.97 eV and Au 4f5/2~87.768 eV. Transmission electron microscopy and atomic force microscopy revealed the formation of individual nanoclusters of size ~1 nm and protein cluster aggregates of size ~8 nm. Photoluminescence studies show bright fluorescence with peak maximum at ~674 nm with the spectral profile covering the near-infrared (NIR) region, making it possible to image clusters at the 700-800 nm emission window where the tissue absorption of light is minimum. The cell viability and reactive oxygen toxicity studies indicate the non-toxic nature of the Au clusters up to relatively higher concentrations of 500 µg ml-1. Receptor-targeted cancer detection using Au clusters is demonstrated on FR+ve oral squamous cell carcinoma (KB) and breast adenocarcinoma cell MCF-7, where the FA-conjugated Au25 clusters were found internalized in significantly higher concentrations compared to the negative control cell lines. This study demonstrates the potential of using

  19. Leveling the playing field: the personal coach program as an innovative approach to assess and address the supportive care needs of underserved cancer patients.

    Hohenadel, Joanne; Kaegi, Elizabeth; Laidlaw, Jack; Kovacik, Galina; Cortinois, Andrea; Kang, Rita; Jadad, Alejandro R

    2007-04-01

    Supportive care addresses informational, social, emotional, spiritual, physical, and practical needs that impact the lives of patients and their families. Accessing supportive care services is particularly challenging for patients facing significant financial and social barriers. This report discusses the Personal Coach Program (PCP), which provides specially trained coach navigators of supportive care for cancer patients, with special focus on those facing the above-mentioned barriers. The PCP was piloted with 63 patients treated at the Princess Margaret Hospital in Toronto, Ontario, Canada. Patients faced barriers of language, poverty, culture, social isolation, and literacy. Triangulation was used to compare and contrast multiple sources of quantitative and qualitative evaluation data. Identifying appropriate patients for referral to the PCP was a major challenge. Six categories of unmet needs were identified: practical factors related to daily living, cancer information, emotional support, interaction with the healthcare team, problems with physical health,and factors related to family and friends. Many significant barriers to supportive care and unmet needs are not identified by time-pressured clinical staff in cancer clinics. The PCP helped to identify needs and to improve ability to access services. Participants were highly satisfied with the program and believed it had positive implications for both physical and emotional health. Based on these results, a demonstration model for a supportive-care program is proposed as an integral component of care for all cancer patients, including those at risk for underservice. PMID:17500506

  20. Implementation of a Theory-based, Non-clinical Patient Navigator Program to Address Barriers in an Urban Cancer Center Setting.

    Fleisher, Linda; Miller, Suzanne M; Crookes, Danielle; Kandadai, Venk; Wen, Kuang Yi; Slamon, Rachel E; Chaivous, Jeanne

    2012-06-01

    Cancer patients face a myriad of psychosocial and practical issues. Especially challenging is the time from an initial diagnosis to the onset of treatment and patient navigation services are important to guide patients, especially underserved populations, through this maze of uncertainty. Here we report on the Pennsylvania Patient Navigator Demonstration Project (PaPND) designed to evaluate the acceptability, feasibility, and impact of a culturally and linguistically appropriate non-clinical navigator program. The development of the project, based on behavioral theory and community-based participatory research principles, is described. Forty-four cancer patients from diverse backgrounds participated, which included a baseline assessment, navigation services, and a four week and twelve week follow-up assessment. On average, participants experienced 1.8 barriers with transportation and insurance issues the most common barriers. The majority (56%) of the barriers required more than an hour of the navigator's time to address, with insurance, transportation and caregiver/support issues requiring the most time. Overall patients were fairly satisfied with the navigation services. The findings showed improvement patient's stress-related thoughts, cognition (understanding of their disease), expectancies and beliefs or values/goals, as well as self-efficacy of managing cancer related issues from the baseline to follow-up assessments. The evaluation results suggest that providing and connecting cancer patients to appropriate information to improve their understanding of their diagnosis and recommended treatments needs to be addressed, and where the integration of non-clinical and clinical navigation is essential. In addition, more attention to the assessment of psychosocial issues, such as the patients' emotional worries, and more comprehensive training in these areas would enhance navigation programs. PMID:25383260

  1. Lung cancer tissue diagnosis in poor lung function: addressing the ongoing percutaneous lung biopsy FEV1 paradox using Heimlich valve.

    Abdullah, R; Tavare, A N; Creamer, A; Creer, D; Vancheeswaran, R; Hare, S S

    2016-08-01

    Many centres continue to decline percutaneous lung biopsy (PLB) in patients with poor lung function (particularly FEV1 pneumothorax. This practice limits access to novel lung cancer therapies and minimally invasive surgical techniques. Our retrospective single-centre analysis of 212 patients undergoing PLB, all performed prospectively and blinded to lung function, demonstrates that using ambulatory Heimlich valve chest drain (HVCD) to treat significant postbiopsy pneumothorax facilitates safe, diagnostic, early discharge lung biopsy irrespective of lung function with neither FEV1 pneumothorax outcomes. Incorporating ambulatory HVCD into standard PLB practice thereby elegantly bridges the gap that currently exists between tissue diagnosis in patients with poor lung function and the advanced therapeutic options available for this cohort. PMID:26980011

  2. IP Addressing

    2006-01-01

    tut quiz anim This interactive tutorial covers the following: The concept of halving a binary number space., Using the halving concept to explain how the Internet IP space is segmented into the A, B, and C address classifications., How the first octet ranges for the A, B, and C IP space are produced.In this tutorial, explanations are illustrated by simple animations. Students are asked to observe number patterns, and check their observations against automated 'answers.' There is a qu...

  3. Inaugural Address

    Syed Yousaf Raza Gilani

    2008-01-01

    Sardar Aseff Ahmad Ali, Deputy Chairman, Planning Commission, Dr Rashid Amjad, President, Pakistan Society of Development Economists, Honourable Ministers, Excellencies, Ladies and Gentlemen! It is indeed a privilege and honour to address this distinguished gathering of economists. I am very happy that this meeting is being attended by internationally acclaimed economists and academics from both within and outside the country. I am especially heartened to see that students of economics from a...

  4. Addressing the challenge of intergroup studies in oncology: the EORTC experience. European Organisation for Research and Treatment of Cancer.

    Zurlo, A; Therasse, P

    2002-03-01

    Intergroup studies are conducted by more than one clinical research group. There are several difficulties that hamper in practice the possibility of conducting such trials, as all interested parties will have to address unusual and complex issues. These are mainly related to differences in size, interests, motivations and means among different research organisations. The EORTC recognises the importance to promote intergroup collaboration providing to all interested groups the necessary expertise and organisational support to conduct intergroup studies. The role of the EORTC evolved from the spontaneous organisations of intergroup trials to the definition of a basic set of principles and criteria that groups have to fulfil to participate in intergroup trials. Recently, a specific EORTC Intergroup Office started its activity devoted to solve the issues related to the intergroup co-operation. This office will have an increasing role to promote and help in conducting intergroup studies. PMID:11858988

  5. Transitions at CpG dinucleotides, geographic clustering of TP53 mutations and food availability patterns in colorectal cancer.

    Fabio Verginelli

    Full Text Available BACKGROUND: Colorectal cancer is mainly attributed to diet, but the role exerted by foods remains unclear because involved factors are extremely complex. Geography substantially impacts on foods. Correlations between international variation in colorectal cancer-associated mutation patterns and food availabilities could highlight the influence of foods on colorectal mutagenesis. METHODOLOGY: To test such hypothesis, we applied techniques based on hierarchical clustering, feature extraction and selection, and statistical pattern recognition to the analysis of 2,572 colorectal cancer-associated TP53 mutations from 12 countries/geographic areas. For food availabilities, we relied on data extracted from the Food Balance Sheets of the Food and Agriculture Organization of the United Nations. Dendrograms for mutation sites, mutation types and food patterns were constructed through Ward's hierarchical clustering algorithm and their stability was assessed evaluating silhouette values. Feature selection used entropy-based measures for similarity between clusterings, combined with principal component analysis by exhaustive and heuristic approaches. CONCLUSION/SIGNIFICANCE: Mutations clustered in two major geographic groups, one including only Western countries, the other Asia and parts of Europe. This was determined by variation in the frequency of transitions at CpGs, the most common mutation type. Higher frequencies of transitions at CpGs in the cluster that included only Western countries mainly reflected higher frequencies of mutations at CpG codons 175, 248 and 273, the three major TP53 hotspots. Pearson's correlation scores, computed between the principal components of the datamatrices for mutation types, food availability and mutation sites, demonstrated statistically significant correlations between transitions at CpGs and both mutation sites and availabilities of meat, milk, sweeteners and animal fats, the energy-dense foods at the basis of

  6. Keynote address

    This paper addresses various aspects of the bases underlying the nuclear third party liability regime, and also analyses the distinction between danger and risk and the manner in which damage caused by flood, mass unemployment (economic damage mainly) and certain diseases is dealt with in the absence of liability provisions similar to those applicable to nuclear incidents. It also is suggested that the State because of its duty under the Basic Law to ensure adequate energy supplies, should be co-responsible for liability questions along with the nuclear operator. (NEA)

  7. Learning predictive clustering rules

    Ženko, Bernard; Džeroski, Sašo; Struyf, Jan

    2005-01-01

    The two most commonly addressed data mining tasks are predictive modelling and clustering. Here we address the task of predictive clustering, which contains elements of both and generalizes them to some extent. We propose a novel approach to predictive clustering called predictive clustering rules, present an initial implementation and its preliminary experimental evaluation.

  8. Geographical clustering of lung cancer in the province of Lecce, Italy: 1992–2001

    Fedespina Alessandro

    2009-07-01

    Full Text Available Abstract Background The triennial mortality rates for lung cancer in the two decades 1981–2001 in the province of Lecce, Italy, are significantly higher than those for the entire region of Apulia (to which the Province of Lecce belongs and the national reference rates. Moreover, analyzing the rates in the three-year periods 1993–95, 1996–98 and 1999–01, there is a dramatic increase in mortality for both males and females, which still remains essentially unexplained: to understand the extent of this phenomenon, it is worth noting that the standardized mortality rate for males in 1999–01 is equal to 13.92 per 10000 person-years, compared to a value of 6.96 for Italy in the 2000–2002 period. These data have generated a considerable concern in the press and public opinion, which with little scientific reasoning have sometimes identified suspected culprits of the risk excess (for example, the emission caused by a number of large industrial sites located in the provinces of Brindisi and Taranto, bordering the Province of Lecce. The objective of this paper is to study on a scientifically sound basis the spatial distribution of risk for lung cancer mortality in the province of Lecce. Our goal is to demonstrate that most of the previous explanations are not supported by data: to this end, we will follow a hybrid approach that combines both frequentist and Bayesian disease mapping methods. Furthermore, we define a new sequential algorithm based on a modified version of the Besag-York-Mollié (BYM model, suitably modified to detect geographical clusters of disease. Results Standardized mortality ratios (SMRs for lung cancer in the province of Lecce: For males, the relative risk (measured by means of SMR, i.e. the ratio between observed and expected cases in each area under internal standardization was judged to be significantly greater than 1 in many municipal areas, the significance being evaluated under the null hypothesis of neutral risk on

  9. Welcome Address

    2001-01-01

    @@  On behalf of the International Life Sciences Institute, I welcome you to Beijing and to the Third Asian Conference on Food Safety and Nutrition. Many of you will remember the first Asian conference on Food Safety held in Kuala Lumpur in 1990 and the second held in Bangkok in 1994. These meetings have been so successful that ILSI made the commitment to host such a conference periodically in order to provide a forum to share the latest information and to set new goals and priorities.   This year, we have broadened the scope of the agenda to include issues on nutrition. I want to thank all of our co-sponsors and members of the Planning Committee for preparing such a comprehensive and timely program. Some of the issues and challenges facing Asia that will be addressed at this meeting are:

  10. Opening address

    The impact of the Chernobyl accident on health has been dramatic but different than expected. It has posed a tremendous health, social and economic burden on the people of Belarus, the Russian Federation and Ukraine. Now the picture of the impact of the accident on health and environment is clearer and the agenda can further move towards development and focused health programmes. The work of the Chernobyl Forum, which allowed this important objective to be reached, is an example of the multiplied added value that different United Nations agencies working together can achieve when addressing complex problems affecting large communities in an independent, comprehensive and credible way. This model should be the basis for future action with the Member States towards reconstruction, development and better health

  11. Addressing the disconnect between public health science and personalised health care: the potential role of cluster analysis in combination with multi-criteria decision analysis

    Kaltoft, Mette Kjer; Dowie, Jack; Turner, Robin;

    2013-01-01

    Background: Public health promotion and person-centred health care are being pursued simultaneously, with little attempt to resolve the conflict between them. One necessary step is to accept that health-care decisions involve multiple criteria and hence are preference sensitive. A second is to ar......Background: Public health promotion and person-centred health care are being pursued simultaneously, with little attempt to resolve the conflict between them. One necessary step is to accept that health-care decisions involve multiple criteria and hence are preference sensitive. A second...... are from one arm of an Australian trial of online and interactive personalised decision aids for prostate cancer screening. Participants were 523 men aged 40–79 years, who assigned importance weights to five criteria: loss of lifetime, needless biopsy, and bowel, urinary, and sexual problems......-investigators in the trial from which data come. All authors approved the final abstract. Conflicts of interest: JD has a financial interest in the Annalisa software used in the trial but did not benefit from its use in it. The other authors declare they have no conflicts of interest....

  12. Inaugural address

    Joshi, P. S.

    2014-03-01

    From jets to cosmos to cosmic censorship P S Joshi Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai 400005, India E-mail: psj@tifr.res.in 1. Introduction At the outset, I should like to acknowledge that part of the title above, which tries to capture the main flavour of this meeting, and has been borrowed from one of the plenary talks at the conference. When we set out to make the programme for the conference, we thought of beginning with observations on the Universe, but then we certainly wanted to go further and address deeper questions, which were at the very foundations of our inquiry, and understanding on the nature and structure of the Universe. I believe, we succeeded to a good extent, and it is all here for you in the form of these Conference Proceedings, which have been aptly titled as 'Vishwa Mimansa', which could be possibly translated as 'Analysis of the Universe'! It is my great pleasure and privilege to welcome you all to the ICGC-2011 meeting at Goa. The International Conference on Gravitation and Cosmology (ICGC) series of meetings are being organized by the Indian Association for General Relativity and Gravitation (IAGRG), and the first such meeting was planned and conducted in Goa in 1987, with subsequent meetings taking place at a duration of about four years at various locations in India. So, it was thought appropriate to return to Goa to celebrate the 25 years of the ICGC meetings. The recollections from that first meeting have been recorded elsewhere here in these Proceedings. The research and teaching on gravitation and cosmology was initiated quite early in India, by V V Narlikar at the Banares Hindu University, and by N R Sen in Kolkata in the 1930s. In course of time, this activity grew and gained momentum, and in early 1969, at the felicitation held for the 60 years of V V Narlikar at a conference in Ahmedabad, P C Vaidya proposed the formation of the IAGRG society, with V V Narlikar being the first President. This

  13. Clustering of sebaceous gland carcinoma, papillary thyroid carcinoma and breast cancer in a woman as a new cancer susceptibility disorder: a case report

    Newman Brian D

    2009-07-01

    Full Text Available Abstract Introduction Multiple distinct tumors arising in a single individual or within members of a family raise the suspicion of a genetic susceptibility disorder. Case presentation We present the case of a 52-year-old Caucasian woman diagnosed with sebaceous gland carcinoma of the eyelid, followed several years later with subsequent diagnoses of breast cancer and papillary carcinoma of the thyroid. Although the patient was also exposed to radiation from a pipe used in the oil field industry, the constellation of neoplasms in this patient suggests the manifestation of a known hereditary susceptibility cancer syndrome. However, testing for the most likely candidates such as Muir-Torre and Cowden syndrome proved negative. Conclusion We propose that our patient's clustering of neoplasms either represents a novel cancer susceptibility disorder, of which sebaceous gland carcinoma is a characteristic feature, or is a variant of the Muir-Torre syndrome.

  14. Alpha6beta4 integrin crosslinking induces EGFR clustering and promotes EGF-mediated Rho activation in breast cancer

    Woodward Wendy A

    2009-05-01

    Full Text Available Abstract Background The α6β4 integrin is overexpressed in the basal subtype of breast cancer and plays an important role in tumor cell motility and invasion. EGFR is also overexpressed in the basal subtype of breast cancer, and crosstalk between α6β4 integrin and EGFR appears to be important in tumor progression. Methods We evaluated the effects of α6β4 crosslinking on the distribution and function of EGFR in breast carcinoma cell line MDA-MB-231. Receptor distribution was evaluated by fluorescence microscopy and multispectral imaging flow cytometry, and ligand-mediated EGFR signaling was evaluated using Western blots and a Rho pull-down assay. Results Antibody-mediated crosslinking of α6β4 integrin was sufficient to induce cell-surface clustering of not only α6β4 but also EGFR in nonadherent cells. The induced clustering of EGFR was observed minimally after 5 min of integrin crosslinking but was more prominent after 15 min. EGFR clustering had minimal effect on the phosphorylation of Akt or Erk1,2 in response to EGF in suspended cells or in response to HB-EGF in adherent cells. However, EGFR clustering induced by crosslinking α6β4 had a marked effect on Rho activation in response to EGF. Conclusion Crosslinking α6β4 integrin in breast carcinoma cells induces EGFR clustering and preferentially promotes Rho activation in response to EGF. We hypothesize that this integrin-EGFR crosstalk may facilitate tumor cell cytoskeletal rearrangements important for tumor progression.

  15. Opening address

    Full text: Honourable Representatives of His Majesty King Mohammed VI and of the Government of Morocco, representatives of sponsoring organizations, distinguished participants, on behalf of the Director General of the IAEA, it is my pleasure and privilege to welcome you to this International Conference on National Infrastructures for Radiation Safety: Towards Effective and Sustainable Systems. I would like to express my sincere appreciation to His Majesty King Mohammed VI for his patronage, to the Government of Morocco and the University Mohammed V, Agdal, for hosting this conference in the beautiful and historic city of Rabat, and to the local organizers for their diligent planning and gracious hospitality. I would also like to thank the four organizations that are co-operating with the IAEA in holding this conference: the World Health Organization, the Pan American Health Organization, the International Labour Organization, the European Commission and the OECD/Nuclear Energy Agency. National infrastructure for radiation safety has emerged as an issue of international concern over the last two decades. Systematic and strategic consideration of infrastructure has become widely recognized as an essential prerequisite for safety. The first IAEA conference to address the topic was in Munich, Germany, in 1990. The 1996 edition of the International Basic Safety Standards for Protection against Ionizing Radiation and for the Safety of Radiation Sources (known as the Basic Safety Standards or BSS) highlighted the issue, and the IAEA's technical co-operation Model Project for Upgrading Radiation Protection Infrastructure was introduced to help address it. The Model Project has helped, and continues to help, more than 85 IAEA Member States to work towards the goal of a radiation safety infrastructure in accordance with the Basic Safety Standards. A great deal has been achieved, but this work is not complete. Furthermore, not all States are members of the IAEA or the Model

  16. Opening address

    This opening address covers two main areas: first, a snapshot of the continuing threat and the recent changes having been made to the United Kingdom's counterterrorism structures to respond to it; and second, how the United Kingdom is combating nuclear terrorism through a range of measures covering physical security, decreasing vulnerability to attack and increasing resilience. Combating the threat of nuclear terrorism requires an international effort. Radiological and fissile materials are present throughout the world and, as such, it should be secured wherever it is found. All countries are encouraged to continue to enhance security and protection mechanisms for radiological and fissile material; and to develop contingency plans should the worst happen. The United Kingdom has responded to the very serious and real threat by consolidating and strengthening elements of its counterterrorist planning via the creation in May this year of the Office for Security and Counter-Terrorism (OSCT). These changes have been coupled with an unprecedented level of investment to enable the delivery of the United Kingdom counterterrorist strategy - known as CONTEST - through which we aim to (a) stop terrorist attacks; (b) where it cannot be stopped, to mitigate its impact; (c) strengthen our overall protection against terrorist attack; (d) stop people becoming terrorists or supporting violent extremism. In the case of radiological and nuclear terrorism, it is not sufficient merely to prepare for such an attack; one must also devote efforts to preventing such attacks in the first instance by intercepting dangerous materials before they reach their intended target; and by strengthening the protection of vulnerable places and detecting or mitigating any devices before they are placed or activated. As such, in terms of the United Kingdom's efforts on radiological and nuclear terrorism, there are three main strands to this work: physical protection of materials including the global

  17. Keynote address

    This keynote address describes the reasons why Ontario restructured its electricity sector to include open market competition. Much effort, time, money and expertise have been devoted to developing the Ontario competitive market. The 1997 White Paper issued by the Ontario Ministry of Energy, Science and Technology was the first paper to express the urgent need for change because the old system was failing. Prices increased by 60 per cent between 1986 and 1993. Although governments imposed a price freeze, it is recognized that such prices freezes cannot be sustained. Between 1980 and 1986, Ontario Hydro's debt rose from $12 billion to over $30 billion. The cause was attributed to poor business performance which was putting the taxpayers at risk. The author states that the potential and social benefits of competitive electricity markets are significant. Opening the power markets improves the efficiency of electricity systems and offers significant benefits. It is noted that restructuring does not mean deregulation. The Ontario Energy Board and the Independent Market Operator continue to regulate the market to ensure its proper operation and to protect consumers. In a properly functioning competitive market, prices change in response to market conditions. Electricity prices have generally declined where competitive markets have been introduced in other jurisdictions around the world. The author also cautions that it is easy to create unfounded fears about a competitive market and cited California as an example. California's problems arose from a lack of generating capacity, regulation which discouraged new power generation, inadequate transmission capacity, lack of snow in the northeast where hydropower is produced, and a consumer price cap that encouraged power consumption at a time when supply was short. The author notes that these factors do not exist in Ontario and that the competitive market should not be abandoned

  18. Keynote address

    DOE biomass R ampersand D programs have the potential to provide America with both plentiful, clean-burning domestic transportation fuels and cost-competitive industrial and utility fuels, benefiting energy security in the United States. Biofuels developed under our programs will also help improve air quality, reduce greenhouse gases, reduce the large daily quantities of waste we produce, and revitalize rural America. These research motivations have been documented in the National Energy Strategy. DOE looks forward to expanding its biofuels research program and to forging a partnership with private sector for cost-shared commercialization of new fuels and vehicle technologies. Many alternative fuels (e.g., ethanol, methanol, compressed natural gas, propane, or electricity) are candidates for gaining market share. Indeed, there may be significant regional variation in the future fuel mix. Alcohol fuels from biomass, particularly ethanol, have the potential to make a major contribution. Currently, ethanol in the United States is almost entirely made from corn; and the limitations of that process are well known (e.g., costly feedstock, end product requiring subsidy to be competitive, use of fossil fuels in renewable feedstock production and processing, and potential adverse impact of corn ethanol production on the price of food). To address these concerns, the DOE biofuels program is pursuing an ambitious research program to develop the technologies needed to convert these crops into alternative transportation fuels, primarily cellulose-based ethanol and methanol. Program R ampersand D has reduced the estimated cost per gallon of cellulose-based ethanol from $3.60 in 1980 to the current $1.35, with a program goal of $0.60 by the year 2000. DOE is also investigating the thermochemical conversion of biomass to methanol. The program goal is to achieve commercial production of methanol (like ethanol) at the gasoline equivalent of $0.90 per gallon by the year 2000. 4 figs

  19. Presidential address.

    Vohra, U

    1993-07-01

    The Secretary of India's Ministry of Health and Family Welfare serves as Chair of the Executive Council of the International Institute for Population Sciences in Bombay. She addressed its 35th convocation in 1993. Global population stands at 5.43 billion and increases by about 90 million people each year. 84 million of these new people are born in developing countries. India contributes 17 million new people annually. The annual population growth rate in India is about 2%. Its population size will probably surpass 1 billion by the 2000. High population growth rates are a leading obstacle to socioeconomic development in developing countries. Governments of many developing countries recognize this problem and have expanded their family planning programs to stabilize population growth. Asian countries that have done so and have completed the fertility transition include China, Japan, Singapore, South Korea, and Thailand. Burma, Malaysia, North Korea, Sri Lanka, and Vietnam have not yet completed the transition. Afghanistan, Bangladesh, Iran, Nepal, and Pakistan are half-way through the transition. High population growth rates put pressure on land by fragmenting finite land resources, increasing the number of landless laborers and unemployment, and by causing considerable rural-urban migration. All these factors bring about social stress and burden civic services. India has reduced its total fertility rate from 5.2 to 3.9 between 1971 and 1991. Some Indian states have already achieved replacement fertility. Considerable disparity in socioeconomic development exists among states and districts. For example, the states of Bihar, Madhya Pradesh, Rajasthan, and Uttar Pradesh have female literacy rates lower than 27%, while that for Kerala is 87%. Overall, infant mortality has fallen from 110 to 80 between 1981 and 1990. In Uttar Pradesh, it has fallen from 150 to 98, while it is at 17 in Kerala. India needs innovative approaches to increase contraceptive prevalence rates

  20. Opening address

    Last week we were reminded once again of the after-effects of Chernobyl. Unexpectedly high values of the radioactive substance caesium were found in moose meat from the south of Vaesterbotten County. A moose cow shot in Aengersjoe had 2000 becquerel per kilo meat, and a moose calf had almost 4000 becquerel. The caesium content in Swedish moose has varied after the 1986 reactor breakdown at Chernobyl. The explanation for this year's unusually high content appears to be that, due to the warm weather, the moose have eaten blueberries which contain more caesium than plants in wood clearings. Moose meat containing caesium reminds us of the vulnerability of our society. It reminds us that emissions cross borders and that ambitious, long term environmental policies must be adopted at the national but above all at the international level. Work on environmental objectives is an important component of Swedish efforts to overcome our environmental problems within a generation. In Sweden, our work is based on 15 environmental quality objectives. We have established subgoals, action strategies and follow-up mechanisms. In an international context it is, I venture to say, unique in its systematic structure. The Swedish Government and Riksdag have laid down that: - Human health and biological diversity shall be protected against harmful effects of radiation in the outdoor environment. - By the year 2010, the content in the environment of radioactive substances emitted from all activities and operations shall be so low that human health and biological diversity are protected. - By the year 2020 the annual number of cases of skin cancer caused by the sun shall not be higher than the figure for the year 2000. The risks involved in electromagnetic fields shall be continuously reviewed and necessary measures taken when such risks are identified. These objectives describe the quality and conditions for Sweden's environmental, natural and cultural resources that are ecologically

  1. Cluster Lenses

    Kneib, Jean-Paul; 10.1007/s00159-011-0047-3

    2012-01-01

    Clusters of galaxies are the most recently assembled, massive, bound structures in the Universe. As predicted by General Relativity, given their masses, clusters strongly deform space-time in their vicinity. Clusters act as some of the most powerful gravitational lenses in the Universe. Light rays traversing through clusters from distant sources are hence deflected, and the resulting images of these distant objects therefore appear distorted and magnified. Lensing by clusters occurs in two regimes, each with unique observational signatures. The strong lensing regime is characterized by effects readily seen by eye, namely, the production of giant arcs, multiple-images, and arclets. The weak lensing regime is characterized by small deformations in the shapes of background galaxies only detectable statistically. Cluster lenses have been exploited successfully to address several important current questions in cosmology: (i) the study of the lens(es) - understanding cluster mass distributions and issues pertaining...

  2. Opening address

    The opening address by the host country started by thanking to the International Atomic Energy Agency for holding this important scientific event in in Morocco. The themes to be considered by this conference are among the priorities of the Scientific Research Department in its endeavour to promote scientific research in the field of nuclear science and technology for peaceful uses in Morocco. By so doing, this Department is following and supporting the efforts being made by our country to provide training, and elaborate rules and regulations, and to create infrastructure, acquire material and, equipment and encourage qualified and active researchers. Hence, the convening of this conference responds to a strategic interest of our country, which, similar to other countries, is committed to the achievement of comprehensive and sustainable development for the protection of human kind and the environment. This is considered nowadays as a strategic and vital objective as it entails the protection of people from radiation and against all kinds of professional risks and health hazards. Morocco attaches great importance to radiation safety issues. Our country adhered to all international conventions related to nuclear safety. It is in the process of adapting its internal regulations to international norms and standards, and it is making progress towards the establishment of a national safety body which meets those norms and standards, with the assistance of the IAEA. For this purpose, a standing committee for the follow-up of nuclear affairs has been created on the basis of Royal Instructions, and placed under the authority of the Prime Minister. Its task is to serve as a think-tank on nuclear safety issues and to make proposals on ways and means of reinforcing radiation safety measures. It goes without saying that the peaceful uses of nuclear energy must meet the safety standards elaborated by the IAEA. However, we are convinced that the elaboration of safety standards

  3. Opening address

    and become more technical. Involving experts from all fields is then crucial for success. This perception is reflected in the goals of this meeting. It is designed as an extensive information exchange forum between decision makers, regulators, radiation and waste safety specialists, and the nuclear industry. It is this mix which promises high efficiency with respect to solving the problems that you are addressing. I am sure that the safe termination of practices involving radioactive materials during the decommissioning of nuclear installations is one of the major challenges that industrialized nations will have to face during the next decades

  4. Opening address

    Nuclear terrorism has been recognized as a potential threat to human security and economic prosperity since at least the 1970s. Evidence of Al Qaeda's interest in acquiring nuclear material came to light during the 1990s. However, it is since the attacks of 11 September 2001 that the risk of nuclear terrorist acts has come to be a widespread public and governmental concern, for understandable reasons, and that efforts to combat illicit trafficking, which could lead to nuclear or other radioactive materials falling into the hands of terrorists, have intensified. Six years on, it makes sense to take stock of what has been achieved in the combat to stem illicit trafficking and of where further actions - actions of individual States and cooperative international actions - might usefully be initiated. The IAEA has maintained an Illicit Trafficking Database since 1995. Information reported to this database confirms that concerns about illicit trafficking in nuclear material are justified. Database information points to persistent theft and loss of radioactive sources. States' international obligations relevant to international nuclear trafficking are based on the Convention on the Physical Protection of Nuclear Material (CPPNM), the International Convention for the Suppression of Acts of Nuclear Terrorism, the United Nations Security Council Resolution 1540, which deals with weapons of mass destruction, including nuclear weapons and non-State actors, and the United Nations Security Council Resolution 1375, which requires all States to take the necessary steps to prevent the commission of terrorist acts, including early warning to other States. In addition to these legally binding instruments, there is the non-binding Code of Conduct on the Safety and Security of Radioactive Sources, which Member States of the IAEA agreed in 2003. The Code addresses the establishment of an adequate system of regulatory control, from the production of radioactive sources to their final

  5. Opening address

    Being fully aware of the IAEA's central and important roles in the field of nuclear security, Japan has cooperated closely with the IAEA in the field of nuclear security. One of Japan's efforts was holding a seminar on strengthening nuclear security in Asian countries in November 2006, making use of Japan's contribution to the IAEA Nuclear Security Fund. The seminar was organized for the first time in Asia to address nuclear security matters, in which more than 100 experts from 19 countries participated. Japan also hosted a seminar, aimed at promoting the accession to the international counterterrorism conventions and protocols, inviting government officials and experts from Asia Pacific countries. At the seminar, Japan presented its experience and lessons learned with regard to its ratification of relevant international conventions such as the International Convention for the Suppression of Acts of Nuclear Terrorism and the Convention on the Physical Protection of Nuclear Material. Japan has also provided assistance for capacity building in the field of physical protection measures, and is preparing three projects for Asian countries through the IAEA Nuclear Security Fund. In Thailand, Japan has a project aimed at improving physical protection of nuclear research facilities. In Vietnam, Japan plans to host a workshop on radiation detection equipment for border officials and is also preparing for a seminar aimed at capacity building of control on nuclear material in Vietnam. Japan is committed to continue its efforts to make the IAEA Comprehensive Safeguards Agreement together with an Additional Protocol the universally accepted verification standard for the peaceful use undertakings of the Nuclear Non-Proliferation Treaty. Japan's basic policy on bilateral nuclear cooperation agreements is as follows. Considering the dual nature of nuclear material and technology, Japan is of the view that three Ss, that is, S for 'safeguards' (non-proliferation), S for 'safety

  6. Cancer cluster among young Indian adults living near power transmission lines in Bom Jesus do Tocantins, Pará, Brazil

    Koifman Sergio

    1998-01-01

    Full Text Available A case study was carried out to explore the occurrence of a cancer cluster in 1992 among young indian adults living in an Amazonian village near two 500 kV power transmission lines that began operating a decade ago. Current blood levels of DDT and organophosphorus pesticides and metal levels in hair samples were measured. Extremely low magnetic field exposure was determined during current daily activities carried out by the Indian villagers. Taking into account the cancer incidence rates in different Brazilian cities, the probability of the occurrence of this cluster by chance was considered remote (p< 0.003, Poisson distribution. High blood levels of p,p'-DDT (median levels ranging from 26 to 58 ppb were observed. As a whole, this community showed a pattern of low exposure to organophosphorus pesticides, and high recent exposure was only observed in a few blood samples. Continuous exposure to extremely low electromagnetic fields originated in the power transmission lines (which reached 95.0 mG under the lines was observed on several opportunities during daily activities carried out by Indian villagers. Further observational studies should evaluate the interaction between exposure to extremely low electromagnetic fields and prior exposure to tumor initiators in cancer development.

  7. Increased risk of male cancer and identification of a potential prostate cancer cluster region in BRCA2

    Roed Nielsen, Henriette; Petersen, Janne; Therkildsen, Christina; Skytte, Anne-Bine; Nilbert, Mef

    2016-01-01

    BACKGROUND: The risk of cancer in men from BRCA1 and BRCA2 families is relevant to define to motivate genetic testing and optimize recommendations for surveillance. MATERIAL AND METHODS: We assessed the risk of cancer in male mutation carriers and their first-degree relatives in 290 BRCA1 and BRC...

  8. Simulation-extrapolation method to address errors in atomic bomb survivor dosimetry on solid cancer and leukaemia mortality risk estimates, 1950-2003.

    Allodji, Rodrigue S; Schwartz, Boris; Diallo, Ibrahima; Agbovon, Césaire; Laurier, Dominique; de Vathaire, Florent

    2015-08-01

    Analyses of the Life Span Study (LSS) of Japanese atomic bombing survivors have routinely incorporated corrections for additive classical measurement errors using regression calibration. Recently, several studies reported that the efficiency of the simulation-extrapolation method (SIMEX) is slightly more accurate than the simple regression calibration method (RCAL). In the present paper, the SIMEX and RCAL methods have been used to address errors in atomic bomb survivor dosimetry on solid cancer and leukaemia mortality risk estimates. For instance, it is shown that using the SIMEX method, the ERR/Gy is increased by an amount of about 29 % for all solid cancer deaths using a linear model compared to the RCAL method, and the corrected EAR 10(-4) person-years at 1 Gy (the linear terms) is decreased by about 8 %, while the corrected quadratic term (EAR 10(-4) person-years/Gy(2)) is increased by about 65 % for leukaemia deaths based on a linear-quadratic model. The results with SIMEX method are slightly higher than published values. The observed differences were probably due to the fact that with the RCAL method the dosimetric data were partially corrected, while all doses were considered with the SIMEX method. Therefore, one should be careful when comparing the estimated risks and it may be useful to use several correction techniques in order to obtain a range of corrected estimates, rather than to rely on a single technique. This work will enable to improve the risk estimates derived from LSS data, and help to make more reliable the development of radiation protection standards. PMID:25894839

  9. Prospective assessment of the prognostic value of circulating tumor cells and their clusters in patients with advanced-stage breast cancer.

    Mu, Zhaomei; Wang, Chun; Ye, Zhong; Austin, Laura; Civan, Jesse; Hyslop, Terry; Palazzo, Juan P; Jaslow, Rebecca; Li, Bingshan; Myers, Ronald E; Jiang, Juntao; Xing, Jinliang; Yang, Hushan; Cristofanilli, Massimo

    2015-12-01

    The enumeration of circulating tumor cells (CTCs) provides important prognostic values in patients with metastatic breast cancer. Recent studies indicate that individual CTCs form clusters and these CTC-clusters play an important role in tumor metastasis. We aimed to assess whether quantification of CTC-clusters provides additional prognostic value over quantification of individual CTCs alone. In 115 prospectively enrolled advanced-stage (III and IV) breast cancer patients, CTCs and CTC-clusters were counted in 7.5 ml whole blood using the CellSearch system at baseline before first-line therapy. The individual and joint effects of CTC and CTC cluster counts on patients' progression-free survival (PFS) were analyzed using Cox proportional hazards modeling. Of the 115 patients, 36 (31.3 %) had elevated baseline CTCs (≥5 CTCs/7.5 ml) and 20 (17.4 %) had CTC-clusters (≥2 CTCs/7.5 ml). Patients with elevated CTCs and CTC-clusters both had worse PFS with a hazard ratio (HR) of 2.76 [95 % confidence interval (CI) 1.57-4.86, P log-rank = 0.0005] and 2.83 (1.48-5.39, P log-rank = 0.001), respectively. In joint analysis, compared with patients with IBC), the most aggressive form of breast cancer with the poorest survival. Baseline counts of both individual CTCs and CTC-clusters were associated with PFS in advanced-stage breast cancer patients. CTC-clusters might provide additional prognostic value compared with CTC enumeration alone, in patients with elevated CTCs. PMID:26573830

  10. Functional Interference Clusters in Cancer Patients With Bone Metastases: A Secondary Analysis of RTOG 9714

    Purpose: To explore the relationships (clusters) among the functional interference items in the Brief Pain Inventory (BPI) in patients with bone metastases. Methods: Patients enrolled in the Radiation Therapy Oncology Group (RTOG) 9714 bone metastases study were eligible. Patients were assessed at baseline and 4, 8, and 12 weeks after randomization for the palliative radiotherapy with the BPI, which consists of seven functional items: general activity, mood, walking ability, normal work, relations with others, sleep, and enjoyment of life. Principal component analysis with varimax rotation was used to determine the clusters between the functional items at baseline and the follow-up. Cronbach's alpha was used to determine the consistency and reliability of each cluster at baseline and follow-up. Results: There were 448 male and 461 female patients, with a median age of 67 years. There were two functional interference clusters at baseline, which accounted for 71% of the total variance. The first cluster (physical interference) included normal work and walking ability, which accounted for 58% of the total variance. The second cluster (psychosocial interference) included relations with others and sleep, which accounted for 13% of the total variance. The Cronbach's alpha statistics were 0.83 and 0.80, respectively. The functional clusters changed at week 12 in responders but persisted through week 12 in nonresponders. Conclusion: Palliative radiotherapy is effective in reducing bone pain. Functional interference component clusters exist in patients treated for bone metastases. These clusters changed over time in this study, possibly attributable to treatment. Further research is needed to examine these effects.

  11. Myeloid clusters are associated with a pro-metastatic environment and poor prognosis in smoking-related early stage non-small cell lung cancer.

    Wang Zhang

    Full Text Available BACKGROUND: This study aimed to understand the role of myeloid cell clusters in uninvolved regional lymph nodes from early stage non-small cell lung cancer patients. METHODS: Uninvolved regional lymph node sections from 67 patients with stage I-III resected non-small cell lung cancer were immunostained to detect myeloid clusters, STAT3 activity and occult metastasis. Anthracosis intensity, myeloid cluster infiltration associated with anthracosis and pSTAT3 level were scored and correlated with patient survival. Multivariate Cox regression analysis was performed with prognostic variables. Human macrophages were used for in vitro nicotine treatment. RESULTS: CD68+ myeloid clusters associated with anthracosis and with an immunosuppressive and metastasis-promoting phenotype and elevated overall STAT3 activity were observed in uninvolved lymph nodes. In patients with a smoking history, myeloid cluster score significantly correlated with anthracosis intensity and pSTAT3 level (P<0.01. Nicotine activated STAT3 in macrophages in long-term culture. CD68+ myeloid clusters correlated and colocalized with occult metastasis. Myeloid cluster score was an independent prognostic factor (P = 0.049 and was associated with survival by Kaplan-Maier estimate in patients with a history of smoking (P = 0.055. The combination of myeloid cluster score with either lymph node stage or pSTAT3 level defined two populations with a significant difference in survival (P = 0.024 and P = 0.004, respectively. CONCLUSIONS: Myeloid clusters facilitate a pro-metastatic microenvironment in uninvolved regional lymph nodes and associate with occult metastasis in early stage non-small cell lung cancer. Myeloid cluster score is an independent prognostic factor for survival in patients with a history of smoking, and may present a novel method to inform therapy choices in the adjuvant setting. Further validation studies are warranted.

  12. Global methylation silencing of clustered proto-cadherin genes in cervical cancer: serving as diagnostic markers comparable to HPV

    Epigenetic remodeling of cell adhesion genes is a common phenomenon in cancer invasion. This study aims to investigate global methylation of cell adhesion genes in cervical carcinogenesis and to apply them in early detection of cancer from cervical scraping. Genome-wide methylation array was performed on an investigation cohort, including 16 cervical intraepithelial neoplasia 3 (CIN3) and 20 cervical cancers (CA) versus 12 each of normal, inflammation and CIN1 as controls. Twelve members of clustered proto-cadherin (PCDH) genes were collectively methylated and silenced, which were validated in cancer cells of the cervix, endometrium, liver, head and neck, breast, and lung. In an independent cohort including 107 controls, 66 CIN1, 85 CIN2/3, and 38 CA, methylated PCDHA4 and PCDHA13 were detected in 2.8%, 24.2%, 52.9%, and 84.2% (P < 10−25), and 2.8%, 24.2%, 50.6%, and 94.7% (P < 10−29), respectively. In diagnosis of CIN2 or more severe lesion of the cervix, a combination test of methylated PCDHA4 or PCDHA13 from cervical scraping had a sensitivity, specificity, positive predictive value, and negative predictive value of 74.8%, 80.3%, 73%, and 81.8%, respectively. Testing of this combination from cervical scraping is equally sensitive but more specific than human papillomavirus (HPV) test in diagnosis of CIN2 or more severe lesions. The study disclosed a collective methylation of PCDH genes in cancer of cervix and other sites. At least two of them can be promising diagnostic markers for cervical cancer noninferior to HPV

  13. Evaluation of a Bladder Cancer Cluster in a Population of Criminal Investigators with the Bureau of Alcohol, Tobacco, Firearms and Explosives—Part 1: The Cancer Incidence

    Susan R. Davis

    2012-01-01

    Full Text Available This study investigated a bladder cancer cluster in a cohort of employees, predominately criminal investigators, participating in a medical surveillance program with the United States Bureau of Alcohol, Tobacco, Firearms and Explosives (ATF between 1995 and 2007. Standardized incidence ratios (SIRs were used to compare cancer incidences in the ATF population and the US reference population. Seven cases of bladder cancer (five cases verified by pathology report at time of analysis were identified among a total employee population of 3,768 individuals. All cases were white males and criminal investigators. Six of seven cases were in the 30 to 49 age range at the time of diagnosis. The SIRs for white male criminal investigators undergoing examinations were 7.63 (95% confidence interval = 3.70–15.75 for reported cases and 5.45 (2.33–12.76 for verified cases. White male criminal investigators in the ATF population are at statistically significant increased risk for bladder cancer.

  14. Relative Expression of Vitamin D Hydroxylases, CYP27B1 and CYP24A1, and of Cyclooxygenase-2 and Heterogeneity of Human Colorectal Cancer in Relation to Age, Gender, Tumor Location, and Malignancy: Results from Factor and Cluster Analysis

    Previous studies on the significance of vitamin D insufficiency and chronic inflammation in colorectal cancer development clearly indicated that maintenance of cellular homeostasis in the large intestinal epithelium requires balanced interaction of 1,25-(OH)2D3 and prostaglandin cellular signaling networks. The present study addresses the question how colorectal cancer pathogenesis depends on alterations of activities of vitamin D hydroxylases, i.e., CYP27B1-encoded 25-hydroxyvitamin D-1α-hydroxylase and CYP24A1-encoded 25-hydroxyvitamin D-24-hydroxylase, and inflammation-induced cyclooxygenase-2 (COX-2). Data from 105 cancer patients on CYP27B1, VDR, CYP24A1, and COX-2 mRNA expression in relation to tumor grade, anatomical location, gender and age were fit into a multivariate model of exploratory factor analysis. Nearly identical results were obtained by the principal factor and the maximum likelihood method, and these were confirmed by hierarchical cluster analysis: Within the eight mutually dependent variables studied four independent constellations were found that identify different features of colorectal cancer pathogenesis: (i) Escape of COX-2 activity from restraints by the CYP27B1/VDR system can initiate cancer growth anywhere in the colorectum regardless of age and gender; (ii) variations in COX-2 expression are mainly responsible for differences in cancer incidence in relation to tumor location; (iii) advancing age has a strong gender-specific influence on cancer incidence; (iv) progression from well differentiated to undifferentiated cancer is solely associated with a rise in CYP24A1 expression

  15. Relative Expression of Vitamin D Hydroxylases, CYP27B1 and CYP24A1, and of Cyclooxygenase-2 and Heterogeneity of Human Colorectal Cancer in Relation to Age, Gender, Tumor Location, and Malignancy: Results from Factor and Cluster Analysis

    Brozek, Wolfgang, E-mail: wolfgang.brozek@gmx.at; Manhardt, Teresa; Kállay, Enikö; Peterlik, Meinrad; Cross, Heide S. [Department of Pathophysiology, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna (Austria)

    2012-07-26

    Previous studies on the significance of vitamin D insufficiency and chronic inflammation in colorectal cancer development clearly indicated that maintenance of cellular homeostasis in the large intestinal epithelium requires balanced interaction of 1,25-(OH){sub 2}D{sub 3} and prostaglandin cellular signaling networks. The present study addresses the question how colorectal cancer pathogenesis depends on alterations of activities of vitamin D hydroxylases, i.e., CYP27B1-encoded 25-hydroxyvitamin D-1α-hydroxylase and CYP24A1-encoded 25-hydroxyvitamin D-24-hydroxylase, and inflammation-induced cyclooxygenase-2 (COX-2). Data from 105 cancer patients on CYP27B1, VDR, CYP24A1, and COX-2 mRNA expression in relation to tumor grade, anatomical location, gender and age were fit into a multivariate model of exploratory factor analysis. Nearly identical results were obtained by the principal factor and the maximum likelihood method, and these were confirmed by hierarchical cluster analysis: Within the eight mutually dependent variables studied four independent constellations were found that identify different features of colorectal cancer pathogenesis: (i) Escape of COX-2 activity from restraints by the CYP27B1/VDR system can initiate cancer growth anywhere in the colorectum regardless of age and gender; (ii) variations in COX-2 expression are mainly responsible for differences in cancer incidence in relation to tumor location; (iii) advancing age has a strong gender-specific influence on cancer incidence; (iv) progression from well differentiated to undifferentiated cancer is solely associated with a rise in CYP24A1 expression.

  16. Sparse Convex Clustering

    Wang, Binhuan; Zhang, Yilong; Sun, Wei; Fang, Yixin

    2016-01-01

    Convex clustering, a convex relaxation of k-means clustering and hierarchical clustering, has drawn recent attentions since it nicely addresses the instability issue of traditional nonconvex clustering methods. Although its computational and statistical properties have been recently studied, the performance of convex clustering has not yet been investigated in the high-dimensional clustering scenario, where the data contains a large number of features and many of them carry no information abo...

  17. Expression profiling based on graph-clustering approach to determine colon cancer pathway

    Xiao-qu Zhu

    2013-01-01

    Full Text Available Context: Colorectal cancer is the second leading cause of cancer deaths worldwide. DNA microarray-based technologies allow simultaneous analysis of expression of thousands of genes. Aim: To search for important molecular markers and pathways that hold great promise for further treatment of patients with colorectal cancer. Materials and Methods: Here, we performed a comprehensive gene-level assessment of colorectal cancer using 35 colorectal cancer and 24 normal samples. Results: It was shown that AURKA, MT1G, and AKAP12 had a high degree of response in colorectal cancer. Besides, we further explored the underlying molecular mechanism within these different genes. Conclusions: The results indicated calcium signaling pathway and vascular smooth muscle contraction pathway were the two significant pathways, giving hope to provide insights into the development of novel therapeutic targets and pathways.

  18. Tumor-Promoting Circuits That Regulate a Cancer-Related Chemokine Cluster: Dominance of Inflammatory Mediators Over Oncogenic Alterations

    Here, we investigated the relative contribution of genetic/signaling components versus microenvironmental factors to the malignancy phenotype. In this system, we took advantage of non-transformed fibroblasts that carried defined oncogenic modifications in Ras and/or p53. These cells were exposed to microenvironmental pressures, and the expression of a cancer-related chemokine cluster was used as readout for the malignancy potential (CCL2, CCL5, CXCL8, CXCL10). In cells kept in-culture, synergism between Ras hyper-activation and p53 dysfunction was required to up-regulate the expression of the chemokine cluster. The in vivo passage of RasHigh/p53Low-modified cells has led to tumor formation, accompanied by potentiation of chemokine release, implicating a powerful role for the tumor microenvironment in up-regulating the chemokine cluster. Indeed, we found that inflammatory mediators which are prevalent in tumor sites, such as TNFα and IL-1β, had a predominant impact on the release of the chemokines, which was substantially higher than that obtained by the oncogenic modifications alone, possibly acting through the transcription factors AP-1 and NF-κB. Together, our results propose that in the unbiased model system that we were using, inflammatory mediators of the tumor milieu have dominating roles over oncogenic modifications in dictating the expression of a pro-malignancy chemokine readout

  19. Tumor-Promoting Circuits That Regulate a Cancer-Related Chemokine Cluster: Dominance of Inflammatory Mediators Over Oncogenic Alterations

    Leibovich-Rivkin, Tal [Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978 (Israel); Buganim, Yosef; Solomon, Hilla [Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100 (Israel); Meshel, Tsipi [Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978 (Israel); Rotter, Varda [Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100 (Israel); Ben-Baruch, Adit, E-mail: aditbb@tauex.tau.ac.il [Department of Cell Research and Immunology, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978 (Israel)

    2012-01-20

    Here, we investigated the relative contribution of genetic/signaling components versus microenvironmental factors to the malignancy phenotype. In this system, we took advantage of non-transformed fibroblasts that carried defined oncogenic modifications in Ras and/or p53. These cells were exposed to microenvironmental pressures, and the expression of a cancer-related chemokine cluster was used as readout for the malignancy potential (CCL2, CCL5, CXCL8, CXCL10). In cells kept in-culture, synergism between Ras hyper-activation and p53 dysfunction was required to up-regulate the expression of the chemokine cluster. The in vivo passage of Ras{sup High}/p53{sup Low}-modified cells has led to tumor formation, accompanied by potentiation of chemokine release, implicating a powerful role for the tumor microenvironment in up-regulating the chemokine cluster. Indeed, we found that inflammatory mediators which are prevalent in tumor sites, such as TNFα and IL-1β, had a predominant impact on the release of the chemokines, which was substantially higher than that obtained by the oncogenic modifications alone, possibly acting through the transcription factors AP-1 and NF-κB. Together, our results propose that in the unbiased model system that we were using, inflammatory mediators of the tumor milieu have dominating roles over oncogenic modifications in dictating the expression of a pro-malignancy chemokine readout.

  20. multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles

    Lawlor, Nathan; Fabbri, Alec; Guan, Peiyong; George, Joshy; Karuturi, R. Krishna Murthy

    2016-01-01

    Clustering is carried out to identify patterns in transcriptomics profiles to determine clinically relevant subgroups of patients. Feature (gene) selection is a critical and an integral part of the process. Currently, there are many feature selection and clustering methods to identify the relevant genes and perform clustering of samples. However, choosing an appropriate methodology is difficult. In addition, extensive feature selection methods have not been supported by the available packages. Hence, we developed an integrative R-package called multiClust that allows researchers to experiment with the choice of combination of methods for gene selection and clustering with ease. Using multiClust, we identified the best performing clustering methodology in the context of clinical outcome. Our observations demonstrate that simple methods such as variance-based ranking perform well on the majority of data sets, provided that the appropriate number of genes is selected. However, different gene ranking and selection methods remain relevant as no methodology works for all studies. PMID:27330269

  1. eMBI: Boosting Gene Expression-based Clustering for Cancer Subtypes

    Chang, Zheng; Wang, Zhenjia; Ashby, Cody; Zhou, Chuan; Li, Guojun; Zhang, Shuzhong; Huang, Xiuzhen

    2014-01-01

    Identifying clinically relevant subtypes of a cancer using gene expression data is a challenging and important problem in medicine, and is a necessary premise to provide specific and efficient treatments for patients of different subtypes. Matrix factorization provides a solution by finding checker-board patterns in the matrices of gene expression data. In the context of gene expression profiles of cancer patients, these checkerboard patterns correspond to genes that are up- or down-regulated...

  2. Clustered Regularly Interspaced Short Palindromic Repeats (CRISPRi) plasmids | Office of Cancer Genomics

    CTD2 researchers at the University of California in San Francisco developed a modified Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) CRISPR/dCas9 system. Catalytically inactive dCas9 enables modular and programmable RNA-guided genome regulation in eukaryotes.

  3. Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering

    Sharma Animesh

    2007-01-01

    Full Text Available Abstract Background The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell tumor (SRBCT and thus often leads to misdiagnosis. Identification of biomarkers for distinguishing these cancers is a well studied problem. Existing methods typically evaluate each gene separately and do not take into account the nonlinear interaction between genes and the tools that are used to design the diagnostic prediction system. Consequently, more genes are usually identified as necessary for prediction. We propose a general scheme for finding a small set of biomarkers to design a diagnostic system for accurate classification of the cancer subgroups. We use multilayer networks with online gene selection ability and relational fuzzy clustering to identify a small set of biomarkers for accurate classification of the training and blind test cases of a well studied data set. Results Our method discerned just seven biomarkers that precisely categorized the four subgroups of cancer both in training and blind samples. For the same problem, others suggested 19–94 genes. These seven biomarkers include three novel genes (NAB2, LSP1 and EHD1 – not identified by others with distinct class-specific signatures and important role in cancer biology, including cellular proliferation, transendothelial migration and trafficking of MHC class antigens. Interestingly, NAB2 is downregulated in other tumors including Non-Hodgkin lymphoma and Neuroblastoma but we observed moderate to high upregulation in a few cases of Ewing sarcoma and Rabhdomyosarcoma, suggesting that NAB2 might be mutated in these tumors. These genes can discover the subgroups correctly with unsupervised learning, can differentiate non-SRBCT samples and they perform equally well with other machine learning tools including support vector machines. These biomarkers lead to four simple human interpretable

  4. Evaluation of secular trend and the existence of cases of clusters of bladder cancer in Goiania: descriptive study population-based

    More than 20 years after the radiological accident with cesium-137 in the city of Goiania, there is still a feeling in local population that the number of cases of cancer in the city is growing up due to the past radiation exposure and that the number of people contaminated or exposed was higher than the number reported. The present study aims to evaluate the temporal trend and the space-time distribution of bladder cancer cases in Goiania from 1988 and 2003, taking into account that bladder cancer presents the highest risk coefficients per unit of radiation dose among solid cancers. The study population was composed of all incident cases of bladder cancer registered in the Population-Based Cancer Registry of Goiania, between 1988 and 2003.Temporal trend of bladder cancer incidence was analyzed by sex and age groups ( < 60 and ≥ 60 years of age) through polynomial regression using age standardized incidence rates of bladder cancer (world population). SaTscan was used to determine whether statistical significant geographic clusters of high incidence of bladder cancer cases can be located in the city. The results showed a significant increase of bladder cancer incidence rates in males of all ages (p= 0.025) and for age group higher or equal to 60 years old (p=O.022), and a stability in trends for female sex. In the space-time analysis, a cluster was identified, however without statistical significance (p=0.278) and its location has no relationship with the main focuses of contamination of the radiological accident in 1987. We concluded that, despite of the increase of incidence rates in males, this can be explained by the improvement in diagnostic procedures throughout time, being this increase still not perceived in females considering the small number of cases. As chance can not be ruled out as the explanation of the identified cluster, we do not suggest any further detailed investigation in this cluster, as the occurrence of cluster diseases in space can occur

  5. Address Points - Volusia County Addresses (Point)

    NSGIC GIS Inventory (aka Ramona) — Situs Addresses for Volusia County. Maintained by Growth and Resource Management. Addresses are determined by the cities for their jurisdiction and by the County...

  6. Identification of new candidate drugs for lung cancer using chemical-chemical interactions, chemical-protein interactions and a K-means clustering algorithm.

    Lu, Jing; Chen, Lei; Yin, Jun; Huang, Tao; Bi, Yi; Kong, Xiangyin; Zheng, Mingyue; Cai, Yu-Dong

    2016-04-01

    Lung cancer, characterized by uncontrolled cell growth in the lung tissue, is the leading cause of global cancer deaths. Until now, effective treatment of this disease is limited. Many synthetic compounds have emerged with the advancement of combinatorial chemistry. Identification of effective lung cancer candidate drug compounds among them is a great challenge. Thus, it is necessary to build effective computational methods that can assist us in selecting for potential lung cancer drug compounds. In this study, a computational method was proposed to tackle this problem. The chemical-chemical interactions and chemical-protein interactions were utilized to select candidate drug compounds that have close associations with approved lung cancer drugs and lung cancer-related genes. A permutation test and K-means clustering algorithm were employed to exclude candidate drugs with low possibilities to treat lung cancer. The final analysis suggests that the remaining drug compounds have potential anti-lung cancer activities and most of them have structural dissimilarity with approved drugs for lung cancer. PMID:26849843

  7. Preformulated Implementation Intentions to Promote Colorectal Cancer Screening: A Cluster-Randomized Trial

    Lo, S. H.; Good, A; Sheeran, P.; G. Baio; Rainbow, S; Vart, G.; von Wagner, C

    2013-01-01

    Objective: To evaluate an intervention based on implementation intention principles designed to increase uptake of colorectal cancer screening, and to examine differential efficacy by socioeconomic deprivation. Method: In England, adults aged between 60 and 69 years are invited for biennial fecal occult blood testing. A test kit and an information leaflet are mailed to each individual by the "Hubs" that deliver the national screening program. In the intervention group, three preformulated imp...

  8. A Critical Assessment of Geographic Clusters of Breast and Lung Cancer Incidences among Residents Living near the Tittabawassee and Saginaw Rivers, Michigan, USA

    Objectives. To assess previously determined geographic clusters of breast and lung cancer incidences among residents living near the Tittabawassee and Saginaw Rivers, Michigan, using a new set of environmental factors. Materials and Methods. Breast and lung cancer data were acquired from the Michigan Department of Community Health, along with point source pollution data from the U.S. Environmental Protection Agency. The datasets were used to determine whether there is a spatial association between disease risk and environmental contamination. GIS and spatial techniques were combined with statistical analysis to investigate local risk of breast and lung cancer. Results and Conclusion. The study suggests that neighborhoods in close proximity to the river were associated with a high risk of breast cancer, while increased risk of lung cancer was detected among neighborhoods in close proximity to point source pollution and major highways. Statistically significant (P=.001) clusters of cancer incidences were observed among residents living near the rivers. These findings are useful to researchers and governmental agencies for risk assessment, regulation, and control of environmental contamination in the flood plains.

  9. Enhancing photothermal cancer therapy by clustering gold nanoparticles into spherical polymeric nanoconstructs

    Iodice, Carmen; Cervadoro, Antonio; Palange, AnnaLisa; Key, Jaehong; Aryal, Santosh; Ramirez, Maricela R.; Mattu, Clara; Ciardelli, Gianluca; O'Neill, Brian E.; Decuzzi, Paolo

    2016-01-01

    Gold nanoparticles (AuNPs) have been proposed as agents for enhancing photothermal therapy in cancer and cardiovascular diseases. Different geometrical configurations have been used, ranging from spheres to rods and more complex star shapes, to modulate optical and ablating properties. In this work, multiple, ultra-small 6 nm AuNPs are encapsulated into larger spherical polymeric nanoconstructs (SPNs), made out of a poly(lactic acid-co-glycol acid) (PLGA) core stabilized by a superficial lipid-PEG monolayer. The optical and photothermal properties of the resulting nanoconstructs (Au-SPNs) are modulated by varying the initial loading input of AuNPs, ranging between 25 and 150 μgAu. Au-SPNs exhibit a hydrodynamic diameter varying from ~100 to 180 nm, growing with the gold content, and manifest up to 2-fold increase in thermal energy production per unit mass of gold for an initial input of 100 μgAu. Au-SPNs are stable under physiological conditions up to 7 days and have direct cytotoxic effect on tumor cells. The superior photothermal performance of Au-SPNs is assessed in vitro on monolayers of breast cancer cells (SUM-159) and tumor spheroids of glioblastoma multiforme cells (U87-MG). The encapsulation of small AuNPs into larger spherical nanoconstructs enhances photothermal ablation and could favor tumor accumulation.

  10. The miR-15a/miR-16-1 cluster controls prostate cancer progression by targeting multiple oncogenic activities

    Prostate cancer is the second leading cause of death from cancer among men. Despite its high incidence, the molecular and genetic events involved in prostate cancer development and progression remain poorly understood. MicroRNAs (miRNAs) are non-coding, single-stranded RNAs of ∼ 22 nucleotides that constitute a novel class of gene regulators likely involved in a wide range of cellular functions. The first indication that miRNAs can have a role in tumorigenesis came from a recent study showing an association between B-cell chronic leukaemia (B-CLL) and the deletion or downregulation of two clustered miRNA genes, miR-15a and miR-16, located at 13q14 and targeting Bcl-2 mRNA. Deletion within this locus has been found in different tumor types, including prostate cancer, in which it correlates with tumor progression and metastases 1-4

  11. An integrative analysis of cellular contexts, miRNAs and mRNAs reveals network clusters associated with antiestrogen-resistant breast cancer cells

    Nam Seungyoon

    2012-12-01

    Full Text Available Abstract Background A major goal of the field of systems biology is to translate genome-wide profiling data (e.g., mRNAs, miRNAs into interpretable functional networks. However, employing a systems biology approach to better understand the complexities underlying drug resistance phenotypes in cancer continues to represent a significant challenge to the field. Previously, we derived two drug-resistant breast cancer sublines (tamoxifen- and fulvestrant-resistant cell lines from the MCF7 breast cancer cell line and performed genome-wide mRNA and microRNA profiling to identify differential molecular pathways underlying acquired resistance to these important antiestrogens. In the current study, to further define molecular characteristics of acquired antiestrogen resistance we constructed an “integrative network”. We combined joint miRNA-mRNA expression profiles, cancer contexts, miRNA-target mRNA relationships, and miRNA upstream regulators. In particular, to reduce the probability of false positive connections in the network, experimentally validated, rather than prediction-oriented, databases were utilized to obtain connectivity. Also, to improve biological interpretation, cancer contexts were incorporated into the network connectivity. Results Based on the integrative network, we extracted “substructures” (network clusters representing the drug resistant states (tamoxifen- or fulvestrant-resistance cells compared to drug sensitive state (parental MCF7 cells. We identified un-described network clusters that contribute to antiestrogen resistance consisting of miR-146a, -27a, -145, -21, -155, -15a, -125b, and let-7s, in addition to the previously described miR-221/222. Conclusions By integrating miRNA-related network, gene/miRNA expression and text-mining, the current study provides a computational-based systems biology approach for further investigating the molecular mechanism underlying antiestrogen resistance in breast cancer cells. In

  12. The Fe-S cluster-containing NEET proteins mitoNEET and NAF-1 as chemotherapeutic targets in breast cancer

    Bai, Fang; Morcos, Faruck; Sohn, Yang-Sung; Darash-Yahana, Merav; Rezende, Celso O.; Lipper, Colin H.; Paddock, Mark L.; Song, Luhua; Luo, Yuting; Holt, Sarah H.; Tamir, Sagi; Theodorakis, Emmanuel A.; Jennings, Patricia A.; Onuchic, José N.; Mittler, Ron; Nechushtai, Rachel

    2015-01-01

    Identification of novel drug targets and chemotherapeutic agents is a high priority in the fight against cancer. Here, we report that MAD-28, a designed cluvenone (CLV) derivative, binds to and destabilizes two members of a unique class of mitochondrial and endoplasmic reticulum (ER) 2Fe-2S proteins, mitoNEET (mNT) and nutrient-deprivation autophagy factor-1 (NAF-1), recently implicated in cancer cell proliferation. Docking analysis of MAD-28 to mNT/NAF-1 revealed that in contrast to CLV, which formed a hydrogen bond network that stabilized the 2Fe-2S clusters of these proteins, MAD-28 broke the coordinative bond between the His ligand and the cluster’s Fe of mNT/NAF-1. Analysis of MAD-28 performed with control (Michigan Cancer Foundation; MCF-10A) and malignant (M.D. Anderson–metastatic breast; MDA-MB-231 or MCF-7) human epithelial breast cells revealed that MAD-28 had a high specificity in the selective killing of cancer cells, without any apparent effects on normal breast cells. MAD-28 was found to target the mitochondria of cancer cells and displayed a surprising similarity in its effects to the effects of mNT/NAF-1 shRNA suppression in cancer cells, causing a decrease in respiration and mitochondrial membrane potential, as well as an increase in mitochondrial iron content and glycolysis. As expected, if the NEET proteins are targets of MAD-28, cancer cells with suppressed levels of NAF-1 or mNT were less susceptible to the drug. Taken together, our results suggest that NEET proteins are a novel class of drug targets in the chemotherapeutic treatment of breast cancer, and that MAD-28 can now be used as a template for rational drug design for NEET Fe-S cluster-destabilizing anticancer drugs. PMID:25762074

  13. Allegheny County Address Points

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains address points which represent physical address locations assigned by the Allegheny County addressing authority. Data is updated by County...

  14. The joint far-infrared-optical luminosity function for spiral galaxies and data for the Abell 400 and Cancer clusters

    Visual and IRAS data for an optically selected sample of 183 late-type galaxies are compiled in tables and graphs and analyzed in detail to determine the joint FIR-optical luminosity function Psi from the FIR/blue luminosity ratio, r = L(FIR)/L(B). It is found that Psi can be approximated by a function of a single variable psi(r-prime), where r-prime is defined as r times L(B)/L(asterisk) exp -delta, with L(asterisk) a constant and delta = about 0.08. A lognormal curve peaking at r-prime = 0.35 and with dispersion of 0.28 is shown to give a good fit to psi(r-prime). From a lack of galaxies with very low r-prime in the present sample it is inferred that there are few spiral galaxies with low interstellar-dust abundances. Also included are data on the distribution function of r-prime for the more distant clusters Abell 400 and Cancer. 29 refs

  15. The GRAIDS Trial: a cluster randomised controlled trial of computer decision support for the management of familial cancer risk in primary care

    Emery, J.; Morris, H.; R. Goodchild; Fanshawe, T.; Prevost, A.T.; Bobrow, M.; Kinmonth, A L

    2007-01-01

    The objective was to evaluate the effect of an assessment strategy using the computer decision support system (the GRAIDS software), on the management of familial cancer risk in British general practice in comparison with best current practice. The design included cluster randomised controlled trial, and involved forty-five general practice teams in East Anglia, UK. Randomised to GRAIDS (Genetic Risk Assessment on the Internet with Decision Support) support (intervention n=23) or comparison (...

  16. SEARCHBreast: a new resource to locate and share surplus archival material from breast cancer animal models to help address the 3Rs.

    Blyth, Karen; Carter, Phil; Morrissey, Bethny; Chelala, Claude; Jones, Louise; Holen, Ingunn; Speirs, Valerie

    2016-04-01

    Animal models have contributed to our understanding of breast cancer, with publication of results in high-impact journals almost invariably requiring extensive in vivo experimentation. As such, many laboratories hold large collections of surplus animal material, with only a fraction being used in publications relating to the original projects. Despite being developed at considerable cost, this material is an invisible and hence an underutilised resource, which often ends up being discarded. Within the breast cancer research community there is both a need and desire to make this valuable material available for researchers. Lack of a coordinated system for visualisation and localisation of this has prevented progress. To fulfil this unmet need, we have developed a novel initiative called Sharing Experimental Animal Resources: Coordinating Holdings-Breast (SEARCHBreast) which facilitates sharing of archival tissue between researchers on a collaborative basis and, de facto will reduce overall usage of animal models in breast cancer research. A secure searchable database has been developed where researchers can find, share, or upload materials related to animal models of breast cancer, including genetic and transplant models. SEARCHBreast is a virtual compendium where the physical material remains with the original laboratory. A bioanalysis pipeline is being developed for the analysis of transcriptomics data associated with mouse models, allowing comparative study with human and cell line data. Additionally, SEARCHBreast is committed to promoting the use of humanised breast tissue models as replacement alternatives to animals. Access to this unique resource is freely available to all academic researchers following registration at https://searchbreast.org . PMID:27083180

  17. Implementation of a Theory-based, Non-clinical Patient Navigator Program to Address Barriers in an Urban Cancer Center Setting

    FLEISHER, LINDA; Miller, Suzanne M.; Crookes, Danielle; Kandadai, Venk; Wen, Kuang Yi; Slamon, Rachel E.; Chaivous, Jeanne

    2012-01-01

    Cancer patients face a myriad of psychosocial and practical issues. Especially challenging is the time from an initial diagnosis to the onset of treatment and patient navigation services are important to guide patients, especially underserved populations, through this maze of uncertainty. Here we report on the Pennsylvania Patient Navigator Demonstration Project (PaPND) designed to evaluate the acceptability, feasibility, and impact of a culturally and linguistically appropriate non-clinical ...

  18. Reach Address Database (RAD)

    U.S. Environmental Protection Agency — The Reach Address Database (RAD) stores the reach address of each Water Program feature that has been linked to the underlying surface water features (streams,...

  19. Clustering High-Dimensional Data: The Expression of E-cadherin, CD44 and p53 Molecules in Lip Cancer

    Kyriaki KITIKIDOU

    2010-01-01

    Full Text Available Objective: Clustering techniques can determine which expression patterns are important and which genes contribute to such patterns. We evaluate performance on data from a lip carcinoma study in Greece. Lip carcinoma is one of the most common malignant oral and maxillofacial tumours and in advanced clinical stages has a poor prognosis. E-cadherin, CD44 and p53 molecules are associated with cellular adhesion. Material and Methods: To prepare for clustering, we divided each of the median normalized gene expression values by the range of that gene. Next, we set our prior parameters and we performed the final inference using pooled sets of Markov chain Monte Carlo (MCMC runs. After pooling the chains, we grouped the data into clusters and selected E-cadherin, CD44 and p53 molecules using the marginal median model as cut off. The selection of a small set of genes is advantageous here. A small number of selected genes is appealing to biologists because they constitute a manageable set of candidates on which further studies can be performed. Results: E-cadherin, CD44 and p53 molecules were selected as discriminatory. Results highlight the fact that clustering method has successfully selected genes that are biologically consistent with current research and that provide strong biological validation of the cluster configuration suggested. Conclusion: A clustering method that takes advantage of known substructure in the data when simultaneously clustering high-dimensional data with an unknown number of clusters, and selecting the best discriminating variables for those clusters implies the opportunity to handle bigger datasets. When analyzing real data, clustering has found three genes that agree with current biological research and literature and that provide biological validation of the cluster configuration. Overall, clustering can provide biologists with both useful and manageable information for further experimental research.

  20. Clustering is Easy When ....What?

    Ben-David, Shai

    2015-01-01

    It is well known that most of the common clustering objectives are NP-hard to optimize. In practice, however, clustering is being routinely carried out. One approach for providing theoretical understanding of this seeming discrepancy is to come up with notions of clusterability that distinguish realistically interesting input data from worst-case data sets. The hope is that there will be clustering algorithms that are provably efficient on such "clusterable" instances. This paper addresses th...

  1. Toponome imaging system: in situ protein network mapping in normal and cancerous colon from the same patient reveals more than five-thousand cancer specific protein clusters and their subcellular annotation by using a three symbol code.

    Bhattacharya, Sayantan; Mathew, George; Ruban, Ernie; Epstein, David B A; Krusche, Andreas; Hillert, Reyk; Schubert, Walter; Khan, Michael

    2010-12-01

    In a proof of principle study, we have applied an automated fluorescence toponome imaging system (TIS) to examine whether TIS can find protein network structures, distinguishing cancerous from normal colon tissue present in a surgical sample from the same patient. By using a three symbol code and a power of combinatorial molecular discrimination (PCMD) of 2(21) per subcellular data point in one single tissue section, we demonstrate an in situ protein network structure, visualized as a mosaic of 6813 protein clusters (combinatorial molecular phenotype or CMPs), in the cancerous part of the colon. By contrast, in the histologically normal colon, TIS identifies nearly 5 times the number of protein clusters as compared to the cancerous part (32 009). By subcellular visualization procedures, we found that many cell surface membrane molecules were closely associated with the cell cytoskeleton as unique CMPs in the normal part of the colon, while the same molecules were disassembled in the cancerous part, suggesting the presence of dysfunctional cytoskeleton-membrane complexes. As expected, glandular and stromal cell signatures were found, but interestingly also found were potentially TIS signatures identifying a very restricted subset of cells expressing several putative stem cell markers, all restricted to the cancerous tissue. The detection of these signatures is based on the extreme searching depth, high degree of dimensionality, and subcellular resolution capacity of TIS. These findings provide the technological rationale for the feasibility of a complete colon cancer toponome to be established by massive parallel high throughput/high content TIS mapping. PMID:20822185

  2. 癌症患者症状群发生状况的调查研究与管理对策%Research on symptom clusters in cancer patients

    黄娟; 曹洁; 薛美琴; 郝建玲; 张玲娟

    2013-01-01

    Objective: To investigate and analysis symptom incidence, severity and symptom clusters among Chinese cancer patients. Methods: A total of 973 Chinese cancer patients were investigated by the Chinese version Memorial Symptom Assessment Scale (MSAS-Ch). Results: Five symptom clusters were identified in cancer patients and can explain 60.12% of the variance. These five symptom clusters were named fatigue-lack of appetite-gastrointestinal symptom cluster, illness behavior symptom cluster, psychic symptom cluster, weight loss-constipation symptom cluster, and treatment-related symptom cluster, respectively. Conclusion: This study identified five different symptom clusters among cancer patients. It helps healthcare professionals develop optimized therapies to manage multiple symptoms.%目的:调查并分析癌症患者症状的发生率、严重程度和症状群.方法:采用中文版记忆症状评估量表(MSAS-Ch)对973名癌症患者进行问卷调查.结果:癌症患者存在5个症状群,共能解释总变异的60.12%,分别为乏力 厌食-胃肠道症状群、病态行为症状群、心理症状群、体重下降 便秘症状群和治疗相关的症状群.结论:癌症患者存在不同的症状群,了解症状群有助于临床医务人员制定出有针对性的干预措施,以减轻患者的症状.

  3. Identification of familial clustering for cancer through the family health strategy program in the municipality of Angra dos Reis, Rio de Janeiro, Brazil.

    Vieira, Daniela Koeller Rodrigues; Attianezi, Margareth; Esposito, Ana Carolina; Barth, Anneliese; Sequeira, Cecília; Krause, Nathália; Oliveira, Vivian; Lucidi, Alexandre; Serao, Cassio; Llerena, Juan C

    2015-01-01

    Identification of families with history of cancer in the municipality of Angra dos Reis, Rio de Janeiro (Brazil), through the Brazilian Unified Primary Health Care System was explored based in the Community Health Agents (CHA) program. This study was divided into two phases: a descriptive one with a cross-sectional epidemiological data of families with history of cancer based on CHA-collected data from home visits in four primary health care units. The second phase consisted in identifying familial clustering of three or more individuals with cancer through construction of a three-generation pedigree and revisited by an itinerant group of medical geneticists. Genetic counseling was carried out with the intent of selecting potential families at risk for hereditary familial cancers. In the first phase of the study, 1,581 families were interviewed by the CHA at their homes. A positive history for cancer was present in 42.3 % of families, comprising 22.3 % with only one case per family, 11.2 % with two cases, and 8.6 % with three or more cases in the family. The informant reported that 15 % of the cases were from the father lineage, 12 % from the mother lineage, and 12.1 % within siblings. In the remaining 60.9 % families, cancer was present in both sides of the family. The types of cancer reported were uterus 8.7 % (n = 137), stomach 7.7 % (n = 122), breast 6.9 % (n = 109), throat 6.8 % (n = 99), prostate 5.4 % (n = 85), lung 5.6 % (n = 88), bowel 3.7 % (n = 59), and unspecified sites in 6.8 % (n = 108) of families. No statistical differences were noted between the data collected on each primary care unit. In the second phase of the study, 136 families (2.9 %) from the total of families interviewed in phase 1 were selected due to the presence of three or more individuals with cancer in the family. Among those, only 73 families attended genetic counseling. Comparison between the data obtained by the CHA and the medical

  4. Change in psychological distress in longer-term oesophageal cancer carers: are clusters of illness perception change a useful determinant?

    Graham, Lisa; Dempster, Martin; McCorry, Noleen K.; Donnelly, Michael; Johnston, Brian T

    2016-01-01

    Objective: This study provides a longitudinal assessment of distress in longer-term oesophageal cancer carers, while examining illness perception schema as a possible determinant of change in distress over time. Methods: Oesophageal cancer carers (n=171), 48-months post-diagnosis, were assessed at baseline and 12-months later with the Illness Perception Questionnaire-Revised, Cancer Coping Questionnaire, Hospital Anxiety and Depression Scale and Concerns About Recurrence Scale. Results: Findi...

  5. Global methylation silencing of clustered proto-cadherin genes in cervical cancer: serving as diagnostic markers comparable to HPV

    Wang, Kai-Hung; Lin, Cuei-Jyuan; Liu, Chou-Jen; Liu, Dai-Wei; Huang, Rui-Lan; Ding, Dah-Ching; Weng, Ching-Feng; Chu, Tang-Yuan

    2014-01-01

    Epigenetic remodeling of cell adhesion genes is a common phenomenon in cancer invasion. This study aims to investigate global methylation of cell adhesion genes in cervical carcinogenesis and to apply them in early detection of cancer from cervical scraping. Genome-wide methylation array was performed on an investigation cohort, including 16 cervical intraepithelial neoplasia 3 (CIN3) and 20 cervical cancers (CA) versus 12 each of normal, inflammation and CIN1 as controls. Twelve members of c...

  6. Clustering High-Dimensional Data: The Expression of E-cadherin, CD44 and p53 Molecules in Lip Cancer

    KITIKIDOU, Kyriaki; Aris NTOMOUCHTSIS; Chrisoula TSOMPANIDOU; Konstantinos VAHTSEVANOS

    2010-01-01

    Objective: Clustering techniques can determine which expression patterns are important and which genes contribute to such patterns. We evaluate performance on data from a lip carcinoma study in Greece. Lip carcinoma is one of the most common malignant oral and maxillofacial tumours and in advanced clinical stages has a poor prognosis. E-cadherin, CD44 and p53 molecules are associated with cellular adhesion. Material and Methods: To prepare for clustering, we divided each of the median normali...

  7. Addressivity in cogenerative dialogues

    Hsu, Pei-Ling

    2014-03-01

    Ashraf Shady's paper provides a first-hand reflection on how a foreign teacher used cogens as culturally adaptive pedagogy to address cultural misalignments with students. In this paper, Shady drew on several cogen sessions to showcase his journey of using different forms of cogens with his students. To improve the quality of cogens, one strategy he used was to adjust the number of participants in cogens. As a result, some cogens worked and others did not. During the course of reading his paper, I was impressed by his creative and flexible use of cogens and at the same time was intrigued by the question of why some cogens work and not others. In searching for an answer, I found that Mikhail Bakhtin's dialogism, especially the concept of addressivity, provides a comprehensive framework to address this question. In this commentary, I reanalyze the cogen episodes described in Shady's paper in the light of dialogism. My analysis suggests that addressivity plays an important role in mediating the success of cogens. Cogens with high addressivity function as internally persuasive discourse that allows diverse consciousnesses to coexist and so likely affords productive dialogues. The implications of addressivity in teaching and learning are further discussed.

  8. MRI screening for breast cancer in women at high risk; is the Australian breast MRI screening access program addressing the needs of women at high risk of breast cancer?

    Schenberg, Tess; Mitchell, Gillian; Taylor, Donna; Saunders, Christobel

    2015-01-01

    Breast magnetic resonance imaging (MRI) screening of women under 50 years old at high familial risk of breast cancer was given interim funding by Medicare in 2009 on the basis that a review would be undertaken. An updated literature review has been undertaken by the Medical Services Advisory Committee but there has been no assessment of the quality of the screening or other screening outcomes. This review examines the evidence basis of breast MRI screening and how this fits within an Australi...

  9. Disruption of human papillomavirus 16 E6 gene by clustered regularly interspaced short palindromic repeat/Cas system in human cervical cancer cells

    Yu L

    2014-12-01

    Full Text Available Lan Yu, Xiaoli Wang, Da Zhu, Wencheng Ding, Liming Wang, Changlin Zhang, Xiaohui Jiang, Hui Shen, Shujie Liao, Ding Ma, Zheng Hu, Hui Wang Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China Abstract: High-risk human papillomavirus (HPV, especially HPV16, is considered a main causative agent of cervical cancer. Upon HPV infection, the viral oncoprotein E6 disrupts the host tumor-suppressor protein p53, thus promoting malignant transformation of normal cervical cells. Here, we used the newly developed programmable ribonucleic acid-guided clustered regularly interspaced short palindromic repeat (CRISPR/Cas system to disrupt the HPV16 E6 gene. We showed that HPV16 E6 deoxyribonucleic acid was cleaved at specific sites, leading to apoptosis and growth inhibition of HPV16-positive SiHa and CaSki cells, but not HPV-negative C33A or human embryonic kidney 293 cells. We also observed downregulation of the E6 protein and restoration of the p53 protein. These data proved that the HPV16 E6 ribonucleic acid-guided CRISPR/Cas system might be an effective therapeutic agent in treating HPV infection-related cervical malignancy. Keywords: CRISPR/Cas system, E6, p53, SiHa, CaSki, cervical cancer

  10. Participation in a randomised controlled feasibility study of a complex intervention for the management of the Respiratory Symptom Distress Cluster in lung cancer: patient, carer and research staff views

    Ellis J, Warden J, Molassiotis A, Mackereth P, Bailey C, Burns K, Yorke J

    2016-01-01

    Here we report a nested qualitative study designed to elicit the views and perceptions of those who participated in a randomised controlled feasibility trial testing a novel non-pharmacological intervention, Respiratory Distress Symptom Intervention (RDSI), for the management of the breathlessness-cough-fatigue symptom cluster in lung cancer. Semi-structured interviews were conducted with 11 lung cancer patients, three caregivers and seven researchers involved in recruitment, consent, RDSI t...

  11. Anti-human CD73 monoclonal antibody inhibits metastasis formation in human breast cancer by inducing clustering and internalization of CD73 expressed on the surface of cancer cells

    Terp, Mikkel G; Olesen, Kristina A; Christensen, Eva Arnspang;

    2013-01-01

    -linking of CD73, because both whole IgG anti-CD73 AD2 mAb and Fab' fragments thereof exhibited this effect. Ex vivo treatment of different breast cancer cell lines with anti-CD73 AD2 mAb before i.v. injection into mice inhibited extravasation/colonization of circulating tumor cells and significantly reduced...... metastasis development. This effect was also observed when the cancer cell-surface expression of CD73 was significantly reduced by small interfering RNA knockdown. The antimetastatic activity is epitope specific, as another Ab that efficiently binds CD73-expressing live cancer cells did not lead to CD73...... internalization and metastasis inhibition. Furthermore, anti-CD73 AD2 mAb inhibited development of metastasis in a spontaneous animal model of human metastatic breast cancer. Our study shows that some anti-CD73 mAbs cause cell-surface clustering of CD73 followed by internalization, thus inhibiting the ability of...

  12. Addressing the nuclear misconception

    There is a perception, fostered and encouraged by the anti-nuclear groups, that the nuclear industry generates large quantities of waste with no idea how to deal with it, that it is unsafe, uneconomic, and environmentally damaging. The task is to change these perceptions, by demonstrating that the industry is not a problem in itself, but in fact provides solutions to problems. This paper, while primarily concerned with waste, addresses all of these issues as each has a bearing on the perception of the industry and therefore must be considered when addressing the issue of waste. The paper concludes that evidence exists to support the industry view, but that the mission of the industry should be to change the perception of the industry, by influencing and working together with its stake holders to address their concerns, rather than merely presenting more and more facts. (author)

  13. Addressing the nuclear misconception

    There is a perception, fostered and encouraged by the anti-nuclear groups, that the nuclear industry generates large quantities of waste with no idea how to deal with it, is unsafe, uneconomic, and environmentally damaging. The task of the industry is to change the perception by demonstrating that the industry provides solutions to problems, and is not a problem in itself. This paper, whilst primarily concerned with waste, addresses all of these issues as each has a bearing on the perception of the industry and therefore must be considered when addressing the issue of waste. The paper concludes that evidence exists to support the industry, but that the mission of the industry should be to change the perception of it, by influencing and working together with its stakeholders to address their concerns, rather than merely presenting more and more facts. (author)

  14. Data clustering algorithms and applications

    Aggarwal, Charu C

    2013-01-01

    Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains.The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as fea

  15. Effective Term Based Text Clustering Algorithms

    P. Ponmuthuramalingam,; T. Devi

    2010-01-01

    Text clustering methods can be used to group large sets of text documents. Most of the text clustering methods do not address the problems of text clustering such as very high dimensionality of the data and understandability of the clustering descriptions. In this paper, a frequent term based approach of clustering has been introduced; it provides a natural way of reducing a large dimensionality of the document vector space. This approach is based on clustering the low dimensionality frequent...

  16. Cluster Automorphisms

    Assem, Ibrahim; Schiffler, Ralf; Shramchenko, Vasilisa

    2010-01-01

    In this article, we introduce the notion of cluster automorphism of a given cluster algebra as a $\\ZZ$-automorphism of the cluster algebra that sends a cluster to another and commutes with mutations. We study the group of cluster automorphisms in detail for acyclic cluster algebras and cluster algebras from surfaces, and we compute this group explicitly for the Dynkin types and the Euclidean types.

  17. Addressing Sexual Harassment

    Young, Ellie L.; Ashbaker, Betty Y.

    2008-01-01

    This article discusses ways on how to address the problem of sexual harassment in schools. Sexual harassment--simply defined as any unwanted and unwelcome sexual behavior--is a sensitive topic. Merely providing students, parents, and staff members with information about the school's sexual harassment policy is insufficient; schools must take…

  18. End of Life Experience of Symptom Cluster and Their Management in Hong Kong Chinese Patients with Lung Cancer Who Receive Palliative Radiotherapy

    Carmen W.H.CHAN; S.Y.CHAIR; YX.CHUI

    2009-01-01

    Breathlessness,fatigue,and anxiety are distressing symptoms for patients with advanced lung cancer,however,they are not relieved by palliative RT and are often viewed as neglected areas of clinical practice.This paper aims to review definitions of,and explore patients' experiences of,breathlessness,fatigue,and anxiety.Further,it will outline existing approaches,both pharmacological and non-pharmacological,to treat them.Current treatments and perceptions of these symptoms will be discussed in the context of Hong Kong health care service.The review of literature also shows that breathlessness,fatigue and anxiety appears to have similar emotional origins.A contemporary approach of using a common pyschoeducational intervention to treat these symptoms together as a cluster in end of life care will be discussed.

  19. MRI screening for breast cancer in women at high risk; is the Australian breast MRI screening access program addressing the needs of women at high risk of breast cancer?

    Schenberg, Tess; Mitchell, Gillian; Taylor, Donna; Saunders, Christobel

    2015-09-01

    Breast magnetic resonance imaging (MRI) screening of women under 50 years old at high familial risk of breast cancer was given interim funding by Medicare in 2009 on the basis that a review would be undertaken. An updated literature review has been undertaken by the Medical Services Advisory Committee but there has been no assessment of the quality of the screening or other screening outcomes. This review examines the evidence basis of breast MRI screening and how this fits within an Australian context with the purpose of informing future modifications to the provision of Medicare-funded breast MRI screening in Australia. Issues discussed will include selection of high-risk women, the options for MRI screening frequency and measuring the outcomes of screening. PMID:26451244

  20. MRI screening for breast cancer in women at high risk; is the Australian breast MRI screening access program addressing the needs of women at high risk of breast cancer?

    Breast magnetic resonance imaging (MRI) screening of women under 50 years old at high familial risk of breast cancer was given interim funding by Medicare in 2009 on the basis that a review would be undertaken. An updated literature review has been undertaken by the Medical Services Advisory Committee but there has been no assessment of the quality of the screening or other screening outcomes. This review examines the evidence basis of breast MRI screening and how this fits within an Australian context with the purpose of informing future modifications to the provision of Medicare-funded breast MRI screening in Australia. Issues discussed will include selection of high-risk women, the options for MRI screening frequency and measuring the outcomes of screening

  1. MRI screening for breast cancer in women at high risk; is the Australian breast MRI screening access program addressing the needs of women at high risk of breast cancer?

    Schenberg, Tess [Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria (Australia); Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, Victoria (Australia); Mitchell, Gillian [Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, Victoria (Australia); Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Victoria (Australia); Taylor, Donna [School of Surgery, University of Western Australia, Perth, Western Australia (Australia); Department of Radiology, Royal Perth Hospital, Perth, Western Australia (Australia); BreastScreen Western Australia, Adelaide Terrace, Perth, Western Australia (Australia); Saunders, Christobel [School of Surgery, University of Western Australia, Perth, Western Australia (Australia); Department of General Surgery, St John of God Hospital, Perth, Western Australia (Australia); Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria (Australia)

    2015-09-15

    Breast magnetic resonance imaging (MRI) screening of women under 50 years old at high familial risk of breast cancer was given interim funding by Medicare in 2009 on the basis that a review would be undertaken. An updated literature review has been undertaken by the Medical Services Advisory Committee but there has been no assessment of the quality of the screening or other screening outcomes. This review examines the evidence basis of breast MRI screening and how this fits within an Australian context with the purpose of informing future modifications to the provision of Medicare-funded breast MRI screening in Australia. Issues discussed will include selection of high-risk women, the options for MRI screening frequency and measuring the outcomes of screening.

  2. The effectiveness of the Screening Inventory of Psychosocial Problems (SIPP) in cancer patients treated with radiotherapy: design of a cluster randomised controlled trial

    The Screening Inventory of Psychosocial Problems (SIPP) is a short, validated self-reported questionnaire to identify psychosocial problems in Dutch cancer patients. The one-page 24-item questionnaire assesses physical complaints, psychological complaints and social and sexual problems. Very little is known about the effects of using the SIPP in consultation settings. Our study aims are to test the hypotheses that using the SIPP (a) may contribute to adequate referral to relevant psychosocial caregivers, (b) should facilitate communication between radiotherapists and cancer patients about psychosocial distress and (c) may prevent underdiagnosis of early symptoms reflecting psychosocial problems. This paper presents the design of a cluster randomised controlled trial (CRCT) evaluating the effectiveness of using the SIPP in cancer patients treated with radiotherapy. A CRCT is developed using a Solomon four-group design (two intervention and two control groups) to evaluate the effects of using the SIPP. Radiotherapists, instead of cancer patients, are randomly allocated to the experimental or control groups. Within these groups, all included cancer patients are randomised into two subgroups: with and without pre-measurement. Self-reported assessments are conducted at four times: a pre-test at baseline before the first consultation and a post-test directly following the first consultation, and three and 12 months after baseline measurement. The primary outcome measures are the number and types of referrals of cancer patients with psychosocial problems to relevant (psychosocial) caregivers. The secondary outcome measures are patients' satisfaction with the radiotherapist-patient communication, psychosocial distress and quality of life. Furthermore, a process evaluation will be carried out. Data of the effect-evaluation will be analysed according to the intention-to-treat principle and data regarding the types of referrals to health care providers and patient

  3. Design and methods for a cluster randomized trial of the Sunless Study: A skin cancer prevention intervention promoting sunless tanning among beach visitors

    Merriam Philip

    2009-02-01

    Full Text Available Abstract Background Skin cancer is the most prevalent yet most preventable cancer in the US. While protecting oneself from ultraviolet radiation (UVR can largely reduce risk, rates of unprotected sun exposure remain high. Because the desire to be tan often outweighs health concerns among sunbathers, very few interventions have been successful at reducing sunbathing behavior. Sunless tanning (self-tanners and spray tans, a method of achieving the suntanned look without UVR exposure, might be an effective supplement to prevention interventions. Methods and Design This cluster randomized trial will examine whether a beach-based intervention that promotes sunless tanning as a substitute for sunbathing and includes sun damage imaging and sun safety recommendations is superior to a questionnaire only control group in reducing sunbathing frequency. Female beach visitors (N = 250 will be recruited from 2 public beaches in eastern Massachusetts. Beach site will be the unit of randomization. Follow-up assessment will occur at the end of the summer (1-month following intervention and 1 year later. The primary outcome is average sunbathing time per week. The study was designed to provide 90% power for detecting a difference of .70 hours between conditions (standard deviation of 2.0 at 1-year with an intra-cluster correlation coefficient of 0.01 and assuming a 25% rate of loss to follow-up. Secondary outcomes include frequency of sunburns, use of sunless tanning products, and sun protection behavior. Discussion Interventions might be improved by promoting behavioral substitutes for sun exposure, such as sunless tanners, that create a tanned look without exposure to UVR. Trial registration NCT00403377

  4. Bioreactors Addressing Diabetes Mellitus

    Minteer, Danielle M.; Gerlach, Jorg C; Marra, Kacey G.

    2014-01-01

    The concept of bioreactors in biochemical engineering is a well-established process; however, the idea of applying bioreactor technology to biomedical and tissue engineering issues is relatively novel and has been rapidly accepted as a culture model. Tissue engineers have developed and adapted various types of bioreactors in which to culture many different cell types and therapies addressing several diseases, including diabetes mellitus types 1 and 2. With a rising world of bioreactor develop...

  5. Holographic content addressable storage

    Chao, Tien-Hsin; Lu, Thomas; Reyes, George

    2015-03-01

    We have developed a Holographic Content Addressable Storage (HCAS) architecture. The HCAS systems consists of a DMD (Digital Micromirror Array) as the input Spatial Light Modulator (SLM), a CMOS (Complementary Metal-oxide Semiconductor) sensor as the output photodetector and a photorefractive crystal as the recording media. The HCAS system is capable of performing optical correlation of an input image/feature against massive reference data set stored in the holographic memory. Detailed system analysis will be reported in this paper.

  6. Addressing mathematics & statistics anxiety

    Kotecha, Meena

    2015-01-01

    This paper should be of interest to mathematics and statistics educators ranging from pre-university to university education sectors. It will discuss some features of the author’s teaching model developed over her longitudinal study conducted to understand and address mathematics and statistics anxiety, which is one of the main barriers to engaging with these subjects especially in non-specialist undergraduates. It will demonstrate how a range of formative assessments are used to kindle, as w...

  7. miR-17-92a-1 cluster host gene (MIR17HG) evaluation and response to neoadjuvant chemoradiotherapy in rectal cancer

    Molinari, Chiara; Salvi, Samanta; Foca, Flavia; Teodorani, Nazario; Saragoni, Luca; Puccetti, Maurizio; Passardi, Alessandro; Tamberi, Stefano; Avanzolini, Andrea; Lucci, Enrico; Calistri, Daniele

    2016-01-01

    Neoadjuvant chemoradiotherapy (NCRT) followed by surgery is the gold standard for the treatment of patients with locally advanced rectal cancer (LARC). However, response is variable, and no predictive markers have been validated. The amplification of 13q31–34 seemed to distinguish between nonresponders and responders to NCRT. The miR-17-92a-1 cluster host gene (MIR17HG), which is involved in the development, progression, and aggressiveness of colorectal cancer, and the ABCC4 gene, an ATP-binding cassette transporter, are located at this region. Moreover, the transcription factor c-Myc is closely related to MIR17HG. The aim of this study was to examine the role of MIR17HG, ABCC4, and CMYC gene copy numbers (CNs) in determining response to NCRT. We analyzed DNA CN of pretherapy biopsies from 108 LARC patients and the expression of microRNA (miR)-17, miR-18a, miR-19a, miR-19b-1, miR-20a, and miR-92a-1 in 34 biopsies. MIR17HG, CMYC, and ABCC4 gene CNs were frequently altered in pretreatment tumors, amplification being the most frequent alteration. With regard to response to therapy, 41% of responders showed MIR17HG deletion, while MIR17HG amplification was observed in 41% of nonresponders. With regard to pathological T stage (ypT), a higher percentage of ypT3–4 than ypT0–2 tumors showed MIR17HG amplification. Finally, a higher, albeit nonsignificant, variability in the expression of MIR17HG cluster members was detected in nonresponders compared to responders. No association was observed between clinical pathological parameters and ABCC4 or CMYC CN. Our data did not highlight a significant association between MIR17HG, CMYC, and ABCC4 gene CNs and response to NCRT in LARC. However, MIR17HG gene amplification would seem to be related to a lack of response. Evaluation of the expression of MIR17HG cluster members is warranted in a larger case series, together with functional studies, to evaluate the potential of this gene as a new predictive marker. PMID:27226732

  8. Transcatheter intra-arterial infusion of doxorubicin loaded porous magnetic nano-clusters with iodinated oil for the treatment of liver cancer.

    Jeon, Min Jeong; Gordon, Andrew C; Larson, Andrew C; Chung, Jin Wook; Kim, Young Il; Kim, Dong-Hyun

    2016-05-01

    A promising strategy for liver cancer treatment is to deliver chemotherapeutic agents with multifunctional carriers into the tumor tissue via intra-arterial (IA) transcatheter infusion. These carriers should release drugs within the target tissue for prolonged periods and permit intra-procedural multi-modal imaging of selective tumor delivery. This targeted transcatheter delivery approach is enabled via the arterial blood supply to liver tumors and utilized in current clinical practice which is called chemoembolization or radioembolization. During our study, we developed Doxorubicin (Dox) loaded porous magnetic nano-clusters (Dox-pMNCs). The porous structure and carboxylic groups on the MNCs achieved high-drug loading efficiency and sustained drug release, along with magnetic properties resulting in high MRI T2-weighted image contrast. Dox-pMNC within iodinated oil, Dox-pMNCs, and Dox within iodinated oil were infused via hepatic arteries to target liver tumors in a rabbit model. MRI and histological evaluations revealed that the long-term drug release and retention of Dox-pMNCs within iodinated oil induced significantly enhanced liver cancer cell death. PMID:26938029

  9. Robustness and backbone motif of a cancer network regulated by miR-17-92 cluster during the G1/S transition.

    Lijian Yang

    Full Text Available Based on interactions among transcription factors, oncogenes, tumor suppressors and microRNAs, a Boolean model of cancer network regulated by miR-17-92 cluster is constructed, and the network is associated with the control of G1/S transition in the mammalian cell cycle. The robustness properties of this regulatory network are investigated by virtue of the Boolean network theory. It is found that, during G1/S transition in the cell cycle process, the regulatory networks are robustly constructed, and the robustness property is largely preserved with respect to small perturbations to the network. By using the unique process-based approach, the structure of this network is analyzed. It is shown that the network can be decomposed into a backbone motif which provides the main biological functions, and a remaining motif which makes the regulatory system more stable. The critical role of miR-17-92 in suppressing the G1/S cell cycle checkpoint and increasing the uncontrolled proliferation of the cancer cells by targeting a genetic network of interacting proteins is displayed with our model.

  10. Address delivered in Vilnius

    Piłsudski, Józef

    2013-01-01

    Title: Przemówienie w Wilnie 20 kwietnia 1922 roku (Address delivered in Vilnius, 20 April, 1922) Originally published: Pisma-mowy-rozkazy, vol. V, Warsaw, Instytut Józefa Piłsudskiego, 1933, pp. 255–260. Language: PolishThe excerpt used is from the original About the author Józef Piłsudski [1867, Zułów (in the district of Święciany, Lit. Zalave/Švenčionys, present-day Lithuania) – 1935, Warsaw]: politician. Piłsudski was born to a family belonging to the Polish-speaking gentry in the Lithuan...

  11. The spatial evaluation of neighborhood clusters of birth defects

    Frisch, J.D.

    1990-04-16

    Spatial statistics have recently been applied in epidemiology to evaluate clusters of cancer and birth defects. Their use requires a comparison population, drawn from the population at risk for disease, that may not always be readily available. In this dissertation the plausibility of using data on all birth defects, available from birth defects registries, as a surrogate for the spatial distribution of all live births in the analysis of clusters is assessed. Three spatial statistics that have been applied in epidemiologic investigations of clusters, nearest neighbor distance, average interpoint distance, and average distance to a fixed point, were evaluated by computer simulation for their properties in a unit square, and in a zip code region. Comparison of spatial distributions of live births and birth defects was performed by drawing samples of live births and birth defects from Santa Clara County, determining the street address at birth, geocoding this address and evaluating the resultant maps using various statistical techniques. The proposed method was then demonstrated on a previously confirmed cluster of oral cleft cases. All live births for the neighborhood were geocoded, as were all birth defects. Evaluation of this cluster using the nearest neighbor and average interpoint distance statistics was performed using randomization techniques with both the live births population and the birth defect population as comparison groups. 113 refs., 36 figs., 16 tabs.

  12. Clustering Techniques in Bioinformatics

    Muhammad Ali Masood

    2015-01-01

    Full Text Available Dealing with data means to group information into a set of categories either in order to learn new artifacts or understand new domains. For this purpose researchers have always looked for the hidden patterns in data that can be defined and compared with other known notions based on the similarity or dissimilarity of their attributes according to well-defined rules. Data mining, having the tools of data classification and data clustering, is one of the most powerful techniques to deal with data in such a manner that it can help researchers identify the required information. As a step forward to address this challenge, experts have utilized clustering techniques as a mean of exploring hidden structure and patterns in underlying data. Improved stability, robustness and accuracy of unsupervised data classification in many fields including pattern recognition, machine learning, information retrieval, image analysis and bioinformatics, clustering has proven itself as a reliable tool. To identify the clusters in datasets algorithm are utilized to partition data set into several groups based on the similarity within a group. There is no specific clustering algorithm, but various algorithms are utilized based on domain of data that constitutes a cluster and the level of efficiency required. Clustering techniques are categorized based upon different approaches. This paper is a survey of few clustering techniques out of many in data mining. For the purpose five of the most common clustering techniques out of many have been discussed. The clustering techniques which have been surveyed are: K-medoids, K-means, Fuzzy C-means, Density-Based Spatial Clustering of Applications with Noise (DBSCAN and Self-Organizing Map (SOM clustering.

  13. Cluster AAR Campaign Summary Plots

    Fazakerley, A. N.; Walsh, A. P.; Garza, K. J.; Christopher, I.; Sadeghi, S.; Lindqvist, P.; Mihaljcic, B.; Forsyth, C.; Pickett, J. S.; Marklund, G. T.; Lucek, E. A.; Dandouras, I. S.

    2010-12-01

    Since late 2008 the Cluster spacecraft have been making the first four-point measurements of the Auroral Acceleration Region, opening up an exciting new opportunity for the auroral science, Cluster and wider magnetospheric physics communities. In order to stimulate auroral research with Cluster and aid in event selection, we have produced a set of summary plots for those Cluster perigee passes best suited for addressing open questions in auroral physics. The plots incorporate data from WBD, FGM, EFW, PEACE and CIS and are available from the Cluster PEACE website.

  14. Cisplatin and Paclitaxel Alter the Expression Pattern of miR-143/145 and miR-183/96/182 Clusters in T24 Bladder Cancer Cells.

    Papadopoulos, Emmanuel I; Scorilas, Andreas

    2015-12-01

    Although cisplatin-based chemotherapy is considered to be the treatment of choice for metastatic bladder cancer, its efficacy and tolerability has proven to be limited. MicroRNAs are small noncoding RNAs, whose genes are frequently organized in clusters. These molecules constitute posttranscriptional regulators of mRNA expression and are claimed to be deregulated in cancer. miR-143/145 and miR-183/96/182 clusters have been extensively studied in bladder cancer cells. Herein, we tried to add up to this knowledge by assessing the expression levels of the five mature microRNAs derived from the aforementioned clusters in T24 bladder cancer cells exposed to either cisplatin or paclitaxel. For both compounds, the viability of treated T24 cells was estimated via the MTT colorimetric assay and the Trypan Blue exclusion method, while a fraction of the cells was left to recover. The expression levels of all mature microRNAs were finally quantified both in treated and in recovered cells by performing real-time PCR. According to our data, cisplatin and paclitaxel strongly decreased T24 cells' viability, showing in parallel the ability to significantly down-regulate miR-143 levels, and up-regulate the expression levels of miR-145, miR-183, miR-96, and miR-182, which, in their total, demonstrated case-specific variations after recovery period. PMID:26356996

  15. Cancer

    ... Blood tests (which look for chemicals such as tumor markers) Bone marrow biopsy (for lymphoma or leukemia) Chest ... the case with skin cancers , as well as cancers of the lung, breast, and colon. If the tumor has spread ...

  16. Cancer

    Cancer begins in your cells, which are the building blocks of your body. Normally, your body forms ... be benign or malignant. Benign tumors aren't cancer while malignant ones are. Cells from malignant tumors ...

  17. Weighted Clustering

    Ackerman, Margareta; Ben-David, Shai; Branzei, Simina;

    2012-01-01

    We investigate a natural generalization of the classical clustering problem, considering clustering tasks in which different instances may have different weights.We conduct the first extensive theoretical analysis on the influence of weighted data on standard clustering algorithms in both the...... partitional and hierarchical settings, characterizing the conditions under which algorithms react to weights. Extending a recent framework for clustering algorithm selection, we propose intuitive properties that would allow users to choose between clustering algorithms in the weighted setting and classify...

  18. Cluster Headache

    Frederick G Freitag

    1985-01-01

    Learning Objectives: Review the current understanding of the pathophysiology of cluster headache Be able to recognize the clinical features of cluster headache Be able to develop a strategy for treatment of cluster headache Cluster headache is divided into multiple subtypes under the IHC classification criteria. The vast majority of patients present with episodic cluster headache (3.1.1). This will be the focus of the presentation. The syndrome is characterized by repeated at...

  19. Case-control geographic clustering for residential histories accounting for risk factors and covariates

    Goovaerts Pierre

    2006-08-01

    Full Text Available Abstract Background Methods for analyzing space-time variation in risk in case-control studies typically ignore residential mobility. We develop an approach for analyzing case-control data for mobile individuals and apply it to study bladder cancer in 11 counties in southeastern Michigan. At this time data collection is incomplete and no inferences should be drawn – we analyze these data to demonstrate the novel methods. Global, local and focused clustering of residential histories for 219 cases and 437 controls is quantified using time-dependent nearest neighbor relationships. Business address histories for 268 industries that release known or suspected bladder cancer carcinogens are analyzed. A logistic model accounting for smoking, gender, age, race and education specifies the probability of being a case, and is incorporated into the cluster randomization procedures. Sensitivity of clustering to definition of the proximity metric is assessed for 1 to 75 k nearest neighbors. Results Global clustering is partly explained by the covariates but remains statistically significant at 12 of the 14 levels of k considered. After accounting for the covariates 26 Local clusters are found in Lapeer, Ingham, Oakland and Jackson counties, with the clusters in Ingham and Oakland counties appearing in 1950 and persisting to the present. Statistically significant focused clusters are found about the business address histories of 22 industries located in Oakland (19 clusters, Ingham (2 and Jackson (1 counties. Clusters in central and southeastern Oakland County appear in the 1930's and persist to the present day. Conclusion These methods provide a systematic approach for evaluating a series of increasingly realistic alternative hypotheses regarding the sources of excess risk. So long as selection of cases and controls is population-based and not geographically biased, these tools can provide insights into geographic risk factors that were not specifically

  20. Chemical exposure and leukemia clusters

    This paper draws attention to the heterogeneous distribution of leukemia in childhood and in adults. The topic of cluster reports and generalized clustering is addressed. These issues are applied to what is known of the risk factor for both adult and childhood leukemia. Finally, the significance of parental occupational exposure and childhood leukemia is covered. (author). 23 refs

  1. Conference President's address

    The objective of the Conference is to promote the development of a coherent international policy on the protection of the environment from the effects of ionizing radiation and to foster information exchange on this subject. The organizers, the IAEA in cooperation with United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR), the European Commission (EC) and the International Union of Radioecology (IUR), as well as the hosts of the conference, the Government of Sweden through the Swedish Radiation Protection Authority (SSI), are pleased that so nearly 300 delegates from 53 countries have been nominated by their governments to attend this meeting. Another objective is to discuss the implications of the ICRP's proposal for a framework to assess radiation effects in the environment. A framework for radiological protection of the environment must be practical and simple, as should be international standards for discharges into the environment that take account of such an approach. This is a task for the IAEA, in cooperation with other international organizations. This conference therefore provides an opportunity for you to influence the development of both ICRP and IAEA policy in this area. The background session today will give information on the current situation as well as social and political drivers for change. A number of organizations will provide an insight to the present status of international policies on the radiological protection related to releases to the environment. During the course of the conference, there will be five topical sessions that will cover selected subjects related to protection of the environment, such as stakeholders' views, case studies, approaches for non-radioactive pollutants, the state of current scientific knowledge and, finally, the implications of ICRP proposals for international safety standards. Keynote speakers will address key issues within each topical session, and a rapporteur will summarize the

  2. Reducing the Social Gradient in Uptake of the NHS Colorectal Cancer Screening Programme Using a Narrative-Based Information Leaflet: A Cluster-Randomised Trial.

    McGregor, Lesley M; von Wagner, Christian; Atkin, Wendy; Kralj-Hans, Ines; Halloran, Stephen P; Handley, Graham; Logan, Richard F; Rainbow, Sandra; Smith, Steve; Snowball, Julia; Thomas, Mary C; Smith, Samuel G; Vart, Gemma; Howe, Rosemary; Counsell, Nicholas; Hackshaw, Allan; Morris, Stephen; Duffy, Stephen W; Raine, Rosalind; Wardle, Jane

    2016-01-01

    Objective. To test the effectiveness of adding a narrative leaflet to the current information material delivered by the NHS English colorectal cancer (CRC) screening programme on reducing socioeconomic inequalities in uptake. Participants. 150,417 adults (59-74 years) routinely invited to complete the guaiac Faecal Occult Blood test (gFOBt) in March 2013. Design. A cluster randomised controlled trial (ISRCTN74121020) to compare uptake between two arms. The control arm received the standard NHS CRC screening information material (SI) and the intervention arm received the standard information plus a supplementary narrative leaflet, which had previously been shown to increase screening intentions (SI + N). Between group comparisons were made for uptake overall and across socioeconomic status (SES). Results. Uptake was 57.7% and did not differ significantly between the two trial arms (SI: 58.5%; SI + N: 56.7%; odds ratio = 0.93; 95% confidence interval: 0.81-1.06; p = 0.27). There was no interaction between group and SES quintile (p = 0.44). Conclusions. Adding a narrative leaflet to existing information materials does not reduce the SES gradient in uptake. Despite the benefits of using a pragmatic trial design, the need to add to, rather than replace, existing information may have limited the true value of an evidence-based intervention on behaviour. PMID:27069473

  3. Reducing the Social Gradient in Uptake of the NHS Colorectal Cancer Screening Programme Using a Narrative-Based Information Leaflet: A Cluster-Randomised Trial

    Lesley M. McGregor

    2016-01-01

    Full Text Available Objective. To test the effectiveness of adding a narrative leaflet to the current information material delivered by the NHS English colorectal cancer (CRC screening programme on reducing socioeconomic inequalities in uptake. Participants. 150,417 adults (59–74 years routinely invited to complete the guaiac Faecal Occult Blood test (gFOBt in March 2013. Design. A cluster randomised controlled trial (ISRCTN74121020 to compare uptake between two arms. The control arm received the standard NHS CRC screening information material (SI and the intervention arm received the standard information plus a supplementary narrative leaflet, which had previously been shown to increase screening intentions (SI + N. Between group comparisons were made for uptake overall and across socioeconomic status (SES. Results. Uptake was 57.7% and did not differ significantly between the two trial arms (SI: 58.5%; SI + N: 56.7%; odds ratio = 0.93; 95% confidence interval: 0.81–1.06; p=0.27. There was no interaction between group and SES quintile (p=0.44. Conclusions. Adding a narrative leaflet to existing information materials does not reduce the SES gradient in uptake. Despite the benefits of using a pragmatic trial design, the need to add to, rather than replace, existing information may have limited the true value of an evidence-based intervention on behaviour.

  4. [Cancer].

    de la Peña-López, Roberto; Remolina-Bonilla, Yuly Andrea

    2016-09-01

    Cancer is a group of diseases which represents a significant public health problem in Mexico and worldwide. In Mexico neoplasms are the second leading cause of death. An increased morbidity and mortality are expected in the next decades. Several preventable risk factors for cancer development have been identified, the most relevant including tobacco use, which accounts for 30% of the cancer cases; and obesity, associated to another 30%. These factors, in turn, are related to sedentarism, alcohol abuse and imbalanced diets. Some agents are well knokn to cause cancer such as ionizing radiation, viruses such as the papilloma virus (HPV) and hepatitis virus (B and C), and more recently environmental pollution exposure and red meat consumption have been pointed out as carcinogens by the International Agency for Research in Cancer (IARC). The scientific evidence currently available is insufficient to consider milk either as a risk factor or protective factor against different types of cancer. PMID:27603890

  5. Software-Defined Cluster

    聂华; 杨晓君; 刘淘英

    2015-01-01

    The cluster architecture has played an important role in high-end computing for the past 20 years. With the advent of Internet services, big data, and cloud computing, traditional clusters face three challenges: 1) providing flexible system balance among computing, memory, and I/O capabilities;2) reducing resource pooling overheads;and 3) addressing low performance-power efficiency. This position paper proposes a software-defined cluster (SDC) architecture to deal with these challenges. The SDC architecture inherits two features of traditional cluster: its architecture is multicomputer and it has loosely-coupled interconnect. SDC provides two new mechanisms: global I/O space (GIO) and hardware-supported native access (HNA) to remote devices. Application software can define a virtual cluster best suited to its needs from resources pools provided by a physical cluster, and traditional cluster ecosystems need no modification. We also discuss a prototype design and implementation of a 32-processor cloud server utilizing the SDC architecture.

  6. Cluster headache

    Histamine headache; Headache - histamine; Migrainous neuralgia; Headache - cluster; Horton's headache ... Doctors do not know exactly what causes cluster headaches. They ... (chemical in the body released during an allergic response) or ...

  7. Isotopic clusters

    Spectra of isotopically mixed clusters (dimers of SF6) are calculated as well as transition frequencies. The result leads to speculations about the suitability of the laser-cluster fragmentation process for isotope separation. (Auth.)

  8. MicroRNA-106b-25 cluster targets β-TRCP2, increases the expression of Snail and enhances cell migration and invasion in H1299 (non small cell lung cancer) cells

    Highlights: •miR-106b-25 cluster directly targets the 3′UTR of the β-TRCP2 transcript. •β-TRCP2 mRNA was lower in H1299 cells stably expressing miR-106b-25 cluster. •miR-106b-25 cluster increased the expression of Snail. •miR-106b-25 cluster promoted the migration, colony formation and invasion. •miR-106b-25 cluster enhanced endothelial tube formation. -- Abstract: Lung cancer causes high mortality without a declining trend and non small cell lung cancer represents 85% of all pulmonary carcinomas. MicroRNAs (miRNAs) serve as fine regulators of proliferation, migration, invasion/metastasis and angiogenesis of normal and cancer cells. Using TargetScan6.2, we predicted that the ubiquitin ligase, β-TRCP2, could be a target for two of the constituent miRNAs of the miR-106b-25 cluster (miR-106b and miR-93). We generated a stable clone of miR-106b-25 cluster (CL) or the empty vector (EV) in H1299 (non small cell lung cancer) cells. The expression of β-TRCP2 mRNA was significantly lower in CL than that in EV cells. Transient expression of miR-93 but not antimiR-93 decreased the expression of β-TRCP2 mRNA in H1299 cells. β-TRCP2-3′UTR reporter assay revealed that its activity in CL cells was only 60% of that in EV cells. Snail protein expression was higher in CL than that in EV cells and H1299 cells exhibited an increase in the expression of Snail upon transient transfection with miR-93. miR-106b-25 cluster-induced migration of CL measured by scratch assay was more than that in EV cells and no significant difference in migration was observed between antimiR-93-transfected H1299 cells and the corresponding control-oligo-transfected cells. miR-106b-25 cluster-induced migration of CL cells was again confirmed in a Boyden chamber assay without the matrigel. CL cells were more invasive than EV cells when assessed using Boyden chambers with matrigel but there were no significant changes in the cell viabilities between EV and CL cells. Colony formation assay

  9. MicroRNA-106b-25 cluster targets β-TRCP2, increases the expression of Snail and enhances cell migration and invasion in H1299 (non small cell lung cancer) cells

    Savita, Udainiya; Karunagaran, Devarajan, E-mail: karuna@iitm.ac.in

    2013-05-17

    Highlights: •miR-106b-25 cluster directly targets the 3′UTR of the β-TRCP2 transcript. •β-TRCP2 mRNA was lower in H1299 cells stably expressing miR-106b-25 cluster. •miR-106b-25 cluster increased the expression of Snail. •miR-106b-25 cluster promoted the migration, colony formation and invasion. •miR-106b-25 cluster enhanced endothelial tube formation. -- Abstract: Lung cancer causes high mortality without a declining trend and non small cell lung cancer represents 85% of all pulmonary carcinomas. MicroRNAs (miRNAs) serve as fine regulators of proliferation, migration, invasion/metastasis and angiogenesis of normal and cancer cells. Using TargetScan6.2, we predicted that the ubiquitin ligase, β-TRCP2, could be a target for two of the constituent miRNAs of the miR-106b-25 cluster (miR-106b and miR-93). We generated a stable clone of miR-106b-25 cluster (CL) or the empty vector (EV) in H1299 (non small cell lung cancer) cells. The expression of β-TRCP2 mRNA was significantly lower in CL than that in EV cells. Transient expression of miR-93 but not antimiR-93 decreased the expression of β-TRCP2 mRNA in H1299 cells. β-TRCP2-3′UTR reporter assay revealed that its activity in CL cells was only 60% of that in EV cells. Snail protein expression was higher in CL than that in EV cells and H1299 cells exhibited an increase in the expression of Snail upon transient transfection with miR-93. miR-106b-25 cluster-induced migration of CL measured by scratch assay was more than that in EV cells and no significant difference in migration was observed between antimiR-93-transfected H1299 cells and the corresponding control-oligo-transfected cells. miR-106b-25 cluster-induced migration of CL cells was again confirmed in a Boyden chamber assay without the matrigel. CL cells were more invasive than EV cells when assessed using Boyden chambers with matrigel but there were no significant changes in the cell viabilities between EV and CL cells. Colony formation assay

  10. Weighted Clustering

    Ackerman, Margareta; Ben-David, Shai; Branzei, Simina; Loker, David

    2012-01-01

    We investigate a natural generalization of the classical clusteringproblem, considering clustering tasks in which differentinstances may have different weights.We conduct the firstextensive theoretical analysis on the influence of weighteddata on standard clustering algorithms in both the partitionaland hierarchical settings, characterizing the conditions underwhich algorithms react to weights. Extending a recent frameworkfor clustering algorithm selection, we propose intuitiveproperties that...

  11. Meaningful Clusters

    Sanfilippo, Antonio P.; Calapristi, Augustin J.; Crow, Vernon L.; Hetzler, Elizabeth G.; Turner, Alan E.

    2004-05-26

    We present an approach to the disambiguation of cluster labels that capitalizes on the notion of semantic similarity to assign WordNet senses to cluster labels. The approach provides interesting insights on how document clustering can provide the basis for developing a novel approach to word sense disambiguation.

  12. Observations of IPv6 Addresses

    Malone, David

    2008-01-01

    IPv6 addresses are longer than IPv4 addresses, and are so capable of greater expression. Given an IPv6 address, conventions and standards allow us to draw conclusions about how IPv6 is being used on the node with that address. We show a technique for analysing IPv6 addresses and apply it to a number of datasets. The datasets include addresses seen at a busy mirror server, at an IPv6-enabled TLD DNS server and when running traceroute across the production IPv6 network. The technique quantif...

  13. MicroRNA-106b-25 cluster targets β-TRCP2, increases the expression of Snail and enhances cell migration and invasion in H1299 (non small cell lung cancer) cells.

    Savita, Udainiya; Karunagaran, Devarajan

    2013-05-17

    Lung cancer causes high mortality without a declining trend and non small cell lung cancer represents 85% of all pulmonary carcinomas. MicroRNAs (miRNAs) serve as fine regulators of proliferation, migration, invasion/metastasis and angiogenesis of normal and cancer cells. Using TargetScan6.2, we predicted that the ubiquitin ligase, β-TRCP2, could be a target for two of the constituent miRNAs of the miR-106b-25 cluster (miR-106b and miR-93). We generated a stable clone of miR-106b-25 cluster (CL) or the empty vector (EV) in H1299 (non small cell lung cancer) cells. The expression of β-TRCP2 mRNA was significantly lower in CL than that in EV cells. Transient expression of miR-93 but not antimiR-93 decreased the expression of β-TRCP2 mRNA in H1299 cells. β-TRCP2-3'UTR reporter assay revealed that its activity in CL cells was only 60% of that in EV cells. Snail protein expression was higher in CL than that in EV cells and H1299 cells exhibited an increase in the expression of Snail upon transient transfection with miR-93. miR-106b-25 cluster-induced migration of CL measured by scratch assay was more than that in EV cells and no significant difference in migration was observed between antimiR-93-transfected H1299 cells and the corresponding control-oligo-transfected cells. miR-106b-25 cluster-induced migration of CL cells was again confirmed in a Boyden chamber assay without the matrigel. CL cells were more invasive than EV cells when assessed using Boyden chambers with matrigel but there were no significant changes in the cell viabilities between EV and CL cells. Colony formation assay revealed that the CL cells formed more number of colonies than EV cells but they were smaller in size than those formed by EV cells. The supernatant from CL cells was more effective than that from EV cells in inducing tube formation in endothelial cells. Taken together, our data indicate that miR-106b-25 cluster may play an important role in the metastasis of human non-small cell

  14. caBIG™ VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data

    Xuan Jianhua

    2008-09-01

    Full Text Available Abstract Background The main limitations of most existing clustering methods used in genomic data analysis include heuristic or random algorithm initialization, the potential of finding poor local optima, the lack of cluster number detection, an inability to incorporate prior/expert knowledge, black-box and non-adaptive designs, in addition to the curse of dimensionality and the discernment of uninformative, uninteresting cluster structure associated with confounding variables. Results In an effort to partially address these limitations, we develop the VIsual Statistical Data Analyzer (VISDA for cluster modeling, visualization, and discovery in genomic data. VISDA performs progressive, coarse-to-fine (divisive hierarchical clustering and visualization, supported by hierarchical mixture modeling, supervised/unsupervised informative gene selection, supervised/unsupervised data visualization, and user/prior knowledge guidance, to discover hidden clusters within complex, high-dimensional genomic data. The hierarchical visualization and clustering scheme of VISDA uses multiple local visualization subspaces (one at each node of the hierarchy and consequent subspace data modeling to reveal both global and local cluster structures in a "divide and conquer" scenario. Multiple projection methods, each sensitive to a distinct type of clustering tendency, are used for data visualization, which increases the likelihood that cluster structures of interest are revealed. Initialization of the full dimensional model is based on first learning models with user/prior knowledge guidance on data projected into the low-dimensional visualization spaces. Model order selection for the high dimensional data is accomplished by Bayesian theoretic criteria and user justification applied via the hierarchy of low-dimensional visualization subspaces. Based on its complementary building blocks and flexible functionality, VISDA is generally applicable for gene clustering, sample

  15. Active matter clusters at interfaces

    Copenhagen, Katherine

    2016-01-01

    Collective and directed motility or swarming is an emergent phenomenon displayed by many self-organized assemblies of active biological matter such as clusters of embryonic cells during tissue development, cancerous cells during tumor formation and metastasis, colonies of bacteria in a biofilm, or even flocks of birds and schools of fish at the macro-scale. Such clusters typically encounter very heterogeneous environments. What happens when a cluster encounters an interface between two different environments has implications for its function and fate. Here we study this problem by using a mathematical model of a cluster that treats it as a single cohesive unit that moves in two dimensions by exerting a force/torque per unit area whose magnitude depends on the nature of the local environment. We find that low speed (overdamped) clusters encountering an interface with a moderate difference in properties can lead to refraction or even total internal reflection of the cluster. For large speeds (underdamped), wher...

  16. Cosmology with clusters of galaxies

    Bahcall, Neta A

    1995-01-01

    Rich clusters of galaxies, the largest virialized systems known, provide a powerful tool for the study of cosmology. Some of the fundamental questions that can be addressed with clusters of galaxies include: how did galaxies and large-scale structure form and evolve? What is the amount, composition and distribution of matter in the universe? I review some of the studies utilizing clusters of galaxies to investigare, among others: - The dark matter on clusters scale and the mean mass-density of the universe; - The large-scale structure of the universe; - The peculiar velocity field on large scales; - The mass-function of groups and clusters of galaxies; - The constraints placed on specific cosmological models using the cluster data.

  17. Data Clustering

    Wagstaff, Kiri L.

    2012-03-01

    On obtaining a new data set, the researcher is immediately faced with the challenge of obtaining a high-level understanding from the observations. What does a typical item look like? What are the dominant trends? How many distinct groups are included in the data set, and how is each one characterized? Which observable values are common, and which rarely occur? Which items stand out as anomalies or outliers from the rest of the data? This challenge is exacerbated by the steady growth in data set size [11] as new instruments push into new frontiers of parameter space, via improvements in temporal, spatial, and spectral resolution, or by the desire to "fuse" observations from different modalities and instruments into a larger-picture understanding of the same underlying phenomenon. Data clustering algorithms provide a variety of solutions for this task. They can generate summaries, locate outliers, compress data, identify dense or sparse regions of feature space, and build data models. It is useful to note up front that "clusters" in this context refer to groups of items within some descriptive feature space, not (necessarily) to "galaxy clusters" which are dense regions in physical space. The goal of this chapter is to survey a variety of data clustering methods, with an eye toward their applicability to astronomical data analysis. In addition to improving the individual researcher’s understanding of a given data set, clustering has led directly to scientific advances, such as the discovery of new subclasses of stars [14] and gamma-ray bursts (GRBs) [38]. All clustering algorithms seek to identify groups within a data set that reflect some observed, quantifiable structure. Clustering is traditionally an unsupervised approach to data analysis, in the sense that it operates without any direct guidance about which items should be assigned to which clusters. There has been a recent trend in the clustering literature toward supporting semisupervised or constrained

  18. Partially supervised speaker clustering.

    Tang, Hao; Chu, Stephen Mingyu; Hasegawa-Johnson, Mark; Huang, Thomas S

    2012-05-01

    Content-based multimedia indexing, retrieval, and processing as well as multimedia databases demand the structuring of the media content (image, audio, video, text, etc.), one significant goal being to associate the identity of the content to the individual segments of the signals. In this paper, we specifically address the problem of speaker clustering, the task of assigning every speech utterance in an audio stream to its speaker. We offer a complete treatment to the idea of partially supervised speaker clustering, which refers to the use of our prior knowledge of speakers in general to assist the unsupervised speaker clustering process. By means of an independent training data set, we encode the prior knowledge at the various stages of the speaker clustering pipeline via 1) learning a speaker-discriminative acoustic feature transformation, 2) learning a universal speaker prior model, and 3) learning a discriminative speaker subspace, or equivalently, a speaker-discriminative distance metric. We study the directional scattering property of the Gaussian mixture model (GMM) mean supervector representation of utterances in the high-dimensional space, and advocate exploiting this property by using the cosine distance metric instead of the euclidean distance metric for speaker clustering in the GMM mean supervector space. We propose to perform discriminant analysis based on the cosine distance metric, which leads to a novel distance metric learning algorithm—linear spherical discriminant analysis (LSDA). We show that the proposed LSDA formulation can be systematically solved within the elegant graph embedding general dimensionality reduction framework. Our speaker clustering experiments on the GALE database clearly indicate that 1) our speaker clustering methods based on the GMM mean supervector representation and vector-based distance metrics outperform traditional speaker clustering methods based on the “bag of acoustic features” representation and statistical

  19. Scalable Varied Density Clustering Algorithm for Large Datasets

    Gunter Saake; Mohamed Ramadan; Fawzy Torkey; Abd-Elbadeeh Salem; Ahmed Fahim

    2010-01-01

    Finding clusters in data is a challenging problem especially when the clusters are being of widely varied shapes, sizes, and densities. Herein a new scalable clustering technique which addresses all these issues is proposed. In data mining, the purpose of data clustering is to identify useful patterns in the underlying dataset. Within the last several years, many clustering algorithms have been proposed in this area of research. Among all these proposed methods, density clustering methods are...

  20. Cluster Chemistry

    2011-01-01

    @@ Cansisting of eight scientists from the State Key Laboratory of Physical Chemistry of Solid Surfaces and Xiamen University, this creative research group is devoted to the research of cluster chemistry and creation of nanomaterials.After three-year hard work, the group scored a series of encouraging progresses in synthesis of clusters with special structures, including novel fullerenes, fullerene-like metal cluster compounds as well as other related nanomaterials, and their properties study.

  1. Spanish clitic clusters

    María Cristina Cuervo

    2013-11-01

    Full Text Available This paper deals with a small set of data from clusters of three clitics in Spanish that questions the empirical adequacy and scope of previous analyses of clitic clusters in Romance. It is shown that the output of the Spurious se Rule is not identical to genuine se, at some level that is relevant for linearization of clitics within a cluster. A proposal is presented to capture the neglected data, and this is done in a way that illuminates the debate on the division of labour in clitic phenomena between phonology, morphology and syntax. Central questions in morphology, such as ordering of operations, syncretisms, linearization principles and consequences of lexical insertion are addressed and re-examined.

  2. Port virtual addressing for PC

    Instruments for nuclear signal measurements based on add-on card for a personal computer (PC) are designed often. Then one faces the problem of the addressing of data input/output devices which show an integration level or intelligence that makes the use of several port address indispensable, and these are limited in the PC. The virtual addressing offers the advantage of the occupation of few addresses to accede to many of these devices. The principles of this technique and the appliances of a solution in radiometric in a radiometric card based on programmed logic are discussed in this paper

  3. Reclaiming unused IPv4 addresses

    IT Department

    2016-01-01

    As many people might know, the number of IPv4 addresses is limited and almost all have been allocated (see here and here for more information).   Although CERN has been allocated some 340,000 addresses, the way these are allocated across the site is not as efficient as we would like. As we face an increasing demand for IPv4 addresses with the growth in virtual machines, the IT Department’s Communication Systems Group will be reorganising address allocation during 2016 to make more efficient use of the IPv4 address ranges that have been allocated to CERN. We aim, wherever possible, to avoid giving out fixed IP addresses, and have all devices connected to the campus network obtain an address dynamically each time they connect. As a first stage, starting in February, IP addresses that have not been used for more than 9 months will be reclaimed. No information about the devices concerned will be deleted from LANDB, but a new IP address will have to be requested if they are ever reconnected to t...

  4. Disentangling correlated scatter in cluster mass measurements

    Noh, Yookyung

    2012-01-01

    The challenge of obtaining galaxy cluster masses is increasingly being addressed by multiwavelength measurements. As scatters in measured cluster masses are often sourced by properties of or around the clusters themselves, correlations between mass scatters are frequent and can be significant, with consequences for errors on mass estimates both directly and those obtained via stacking. Using a high resolution 250 Mpc/h side N-body simulation, combined with proxies for observational cluster mass measurements, we obtain mass scatter correlations and covariances for 243 individual clusters along ~96 lines of sight each, both separately and together. We use principal component analysis (PCA) to characterize scatter trends and variations between clusters. The dominant mass scatter combination identified by PCA is common to many clusters, and tends to dominate the mass scatters when viewing the cluster along its long axis. We also correlate cluster mass scatter, environmental and intrinsic properties, and use PCA t...

  5. Convex clustering: an attractive alternative to hierarchical clustering.

    Gary K Chen

    2015-05-01

    Full Text Available The primary goal in cluster analysis is to discover natural groupings of objects. The field of cluster analysis is crowded with diverse methods that make special assumptions about data and address different scientific aims. Despite its shortcomings in accuracy, hierarchical clustering is the dominant clustering method in bioinformatics. Biologists find the trees constructed by hierarchical clustering visually appealing and in tune with their evolutionary perspective. Hierarchical clustering operates on multiple scales simultaneously. This is essential, for instance, in transcriptome data, where one may be interested in making qualitative inferences about how lower-order relationships like gene modules lead to higher-order relationships like pathways or biological processes. The recently developed method of convex clustering preserves the visual appeal of hierarchical clustering while ameliorating its propensity to make false inferences in the presence of outliers and noise. The solution paths generated by convex clustering reveal relationships between clusters that are hidden by static methods such as k-means clustering. The current paper derives and tests a novel proximal distance algorithm for minimizing the objective function of convex clustering. The algorithm separates parameters, accommodates missing data, and supports prior information on relationships. Our program CONVEXCLUSTER incorporating the algorithm is implemented on ATI and nVidia graphics processing units (GPUs for maximal speed. Several biological examples illustrate the strengths of convex clustering and the ability of the proximal distance algorithm to handle high-dimensional problems. CONVEXCLUSTER can be freely downloaded from the UCLA Human Genetics web site at http://www.genetics.ucla.edu/software/.

  6. An address by AECL's president

    This complete address given by Reid Morden, the President of Atomic Energy of Canada Limited, at the June 1997 meeting of the Canadian Nuclear Association. In his address, Morden discusses Canada's success in at home and abroad. He also corrects myths about nuclear energy

  7. Clustering processes

    Ryabko, Daniil

    2010-01-01

    The problem of clustering is considered, for the case when each data point is a sample generated by a stationary ergodic process. We propose a very natural asymptotic notion of consistency, and show that simple consistent algorithms exist, under most general non-parametric assumptions. The notion of consistency is as follows: two samples should be put into the same cluster if and only if they were generated by the same distribution. With this notion of consistency, clustering generalizes such classical statistical problems as homogeneity testing and process classification. We show that, for the case of a known number of clusters, consistency can be achieved under the only assumption that the joint distribution of the data is stationary ergodic (no parametric or Markovian assumptions, no assumptions of independence, neither between nor within the samples). If the number of clusters is unknown, consistency can be achieved under appropriate assumptions on the mixing rates of the processes. (again, no parametric ...

  8. Active matter clusters at interfaces.

    Copenhagen, Katherine; Gopinathan, Ajay

    2016-03-01

    Collective and directed motility or swarming is an emergent phenomenon displayed by many self-organized assemblies of active biological matter such as clusters of embryonic cells during tissue development, cancerous cells during tumor formation and metastasis, colonies of bacteria in a biofilm, or even flocks of birds and schools of fish at the macro-scale. Such clusters typically encounter very heterogeneous environments. What happens when a cluster encounters an interface between two different environments has implications for its function and fate. Here we study this problem by using a mathematical model of a cluster that treats it as a single cohesive unit that moves in two dimensions by exerting a force/torque per unit area whose magnitude depends on the nature of the local environment. We find that low speed (overdamped) clusters encountering an interface with a moderate difference in properties can lead to refraction or even total internal reflection of the cluster. For large speeds (underdamped), where inertia dominates, the clusters show more complex behaviors crossing the interface multiple times and deviating from the predictable refraction and reflection for the low velocity clusters. We then present an extreme limit of the model in the absence of rotational damping where clusters can become stuck spiraling along the interface or move in large circular trajectories after leaving the interface. Our results show a wide range of behaviors that occur when collectively moving active biological matter moves across interfaces and these insights can be used to control motion by patterning environments.

  9. Active matter clusters at interfaces.

    Katherine eCopenhagen

    2016-03-01

    Full Text Available Collective and directed motility or swarming is an emergent phenomenon displayed by many self-organized assemblies of active biological matter such as clusters of embryonic cells during tissue development, cancerous cells during tumor formation and metastasis, colonies of bacteria in a biofilm, or even flocks of birds and schools of fish at the macro-scale. Such clusters typically encounter very heterogeneous environments. What happens when a cluster encounters an interface between two different environments has implications for its function and fate. Here we study this problem by using a mathematical model of a cluster that treats it as a single cohesive unit that moves in two dimensions by exerting a force/torque per unit area whose magnitude depends on the nature of the local environment. We find that low speed (overdamped clusters encountering an interface with a moderate difference in properties can lead to refraction or even total internal reflection of the cluster. For large speeds (underdamped, where inertia dominates, the clusters show more complex behaviors crossing the interface multiple times and deviating from the predictable refraction and reflection for the low velocity clusters. We then present an extreme limit of the model in the absence of rotational damping where clusters can become stuck spiraling along the interface or move in large circular trajectories after leaving the interface. Our results show a wide range of behaviors that occur when collectively moving active biological matter moves across interfaces and these insights can be used to control motion by patterning environments.

  10. Performance Evaluation of Cluster Computing

    K D.Kavitha; RojaRamani.Adapa

    2013-01-01

    Cluster Computing addresses the latest results in these fields that support High Performance Distributed Computing (HPDC). In HPDC environments, parallel and/or distributed computing techniques are applied to the solution of computationally intensive applications across networks of computers. A cluster computing is a type of parallel or distributed computer system, which consists of a collection of interconnected stand-alone computers working together as a single integrated computing resource...

  11. Spherical k-Means Clustering

    Kurt Hornik; Ingo Feinerer; Martin Kober; Christian Buchta

    2012-01-01

    Clustering text documents is a fundamental task in modern data analysis, requiring approaches which perform well both in terms of solution quality and computational efficiency. Spherical k-means clustering is one approach to address both issues, employing cosine dissimilarities to perform prototype-based partitioning of term weight representations of the documents. This paper presents the theory underlying the standard spherical k-means problem and suitable extensions, and intr...

  12. Does access to a colorectal cancer screening website and/or a nurse-managed telephone help line provided to patients by their family physician increase fecal occult blood test uptake?: A pragmatic cluster randomized controlled trial study protocol

    Clouston Kathleen

    2012-05-01

    Full Text Available Abstract Background Fecal occult blood test screening in Canada is sub-optimal. Family physicians play a central role in screening and are limited by the time constraints of clinical practice. Patients face multiple barriers that further reduce completion rates. Tools that support family physicians in providing their patients with colorectal cancer information and that support uptake may prove useful. The primary objective of the study is to evaluate the efficacy of a patient decision aid (nurse-managed telephone support line and/or colorectal cancer screening website distributed by community-based family physicians, in improving colorectal cancer screening rates. Secondary objectives include evaluation of (disincentives to patient FOBT uptake and internet use among 50 to 74 year old males and females for health-related questions. Challenges faced by family physicians in engaging in collaborative partnerships with primary healthcare researchers will be documented. Methods/design A pragmatic, two-arm, randomized cluster controlled trial conducted in 22 community-based family practice clinics (36 clusters with 76 fee-for-service family physicians in Winnipeg, Manitoba, Canada. Each physician will enroll 30 patients attending their periodic health examination and at average risk for colorectal cancer. All physicians will follow their standard clinical practice for screening. Intervention group physicians will provide a fridge magnet to each patient that contains information facilitating access to the study-specific colorectal cancer screening decision aids (telephone help-line and website. The primary endpoint is patient fecal occult blood test completion rate after four months (intention to treat model. Multi-level analysis will include clinic, physician and patient level variables. Patient Personal Health Identification Numbers will be collected from those providing consent to facilitate analysis of repeat screening behavior. Secondary outcome

  13. Constrained Clustering With Imperfect Oracles.

    Zhu, Xiatian; Loy, Chen Change; Gong, Shaogang

    2016-06-01

    While clustering is usually an unsupervised operation, there are circumstances where we have access to prior belief that pairs of samples should (or should not) be assigned with the same cluster. Constrained clustering aims to exploit this prior belief as constraint (or weak supervision) to influence the cluster formation so as to obtain a data structure more closely resembling human perception. Two important issues remain open: 1) how to exploit sparse constraints effectively and 2) how to handle ill-conditioned/noisy constraints generated by imperfect oracles. In this paper, we present a novel pairwise similarity measure framework to address the above issues. Specifically, in contrast to existing constrained clustering approaches that blindly rely on all features for constraint propagation, our approach searches for neighborhoods driven by discriminative feature selection for more effective constraint diffusion. Crucially, we formulate a novel approach to handling the noisy constraint problem, which has been unrealistically ignored in the constrained clustering literature. Extensive comparative results show that our method is superior to the state-of-the-art constrained clustering approaches and can generally benefit existing pairwise similarity-based data clustering algorithms, such as spectral clustering and affinity propagation. PMID:25622327

  14. Symptom clusters and the relationship to quality of life in patients with lung cancer%肺癌患者的症状群及其与生活质量的相关性

    王丹丹; 付菊芳; 房宁宁; 邾萍

    2012-01-01

    Objective To explore symptom clusters in lung cancer, to examine the relationship of symptom clusters to quality of life (QOL), and to provide references for study of symptomatology of lung cancer and for palliative care. Methods A sample of 183 pa tients with lung cancer completed a demographic questionnaire, the MD Anderson Symptom Inventory (MDASI) , the Functional Assessment of Cancer Therapy Lung (FACT L) , the Hospital Anxiety and Depression Scale (HADS) , and the Karnofsky Per formance Scale (KPS). Exploratory factor analysis was used to identify symptom clusters. Two subgroups were classified based on the scores of symptoms by using cluster analysis to compare differences in QOL, KPS and mood. Results Four symptom clusters were identified; gastrointestinal, emotional, fatigue related, and general. Severity of symptoms scored 1. 39—6. 24 points of 10, and the occurrence rates of symptoms ranged from 43. 17% to 99. 45%. Except the family/society dimension of QOL, patients in the high score group had significantly poorer QOL and functional status than their counterparts in the low score group, and the high score group experienced severe anxiety and depression (P<0. 01 for all). Conclusion Lung cancer patients experience high oc currence and strong intensity of symptoms; different symptom clusters can be identified and they have negative effects on quality of life. Nurses should assess symptoms timely and accurately, and take effective measures to manage and relieve symptoms, so as to improve quality of life of patients.%目的 了解肺癌患者各症状是否存在群集现象及症状群对患者生活质量的影响,为癌症症状学研究及姑息护理奠定基础.方法 采用安德森症状评估表(MDASI)、肺癌生活质量评估量表(FACT-L)、医院焦虑抑郁量表(HADS)、身体功能状态量表(KPS)对183例肺癌患者进行调查;通过因子分析提取肺癌患者症状群,聚类分析将研究对象分为两组(症状得分高低)

  15. Clustering analysis

    Cluster analysis is the name of group of multivariate techniques whose principal purpose is to distinguish similar entities from the characteristics they process.To study this analysis, there are several algorithms that can be used. Therefore, this topic focuses to discuss the algorithms, such as, similarity measures, and hierarchical clustering which includes single linkage, complete linkage and average linkage method. also, non-hierarchical clustering method, which is popular name K-mean method' will be discussed. Finally, this paper will be described the advantages and disadvantages of every methods

  16. Cluster editing

    Böcker, S.; Baumbach, Jan

    2013-01-01

    The Cluster Editing problem asks to transform a graph into a disjoint union of cliques using a minimum number of edge modifications. Although the problem has been proven NP-complete several times, it has nevertheless attracted much research both from the theoretical and the applied side. The...... algorithms for biological problems. © 2013 Springer-Verlag....... problem has been the inspiration for numerous algorithms in bioinformatics, aiming at clustering entities such as genes, proteins, phenotypes, or patients. In this paper, we review exact and heuristic methods that have been proposed for the Cluster Editing problem, and also applications of these...

  17. Cluster analysis

    Everitt, Brian S; Leese, Morven; Stahl, Daniel

    2011-01-01

    Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics.This fifth edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data.Real life examples are used throughout to demons

  18. Spitzer Clusters

    Krick, Kessica

    This proposal is a specific response to the strategic goal of NASA's research program to "discover how the universe works and explore how the universe evolved into its present form." Towards this goal, we propose to mine the Spitzer archive for all observations of galaxy groups and clusters for the purpose of studying galaxy evolution in clusters, contamination rates for Sunyaev Zeldovich cluster surveys, and to provide a database of Spitzer observed clusters to the broader community. Funding from this proposal will go towards two years of support for a Postdoc to do this work. After searching the Spitzer Heritage Archive, we have found 194 unique galaxy groups and clusters that have data from both the Infrared array camera (IRAC; Fazio et al. 2004) at 3.6 - 8 microns and the multiband imaging photometer for Spitzer (MIPS; Rieke et al. 2004) at 24microns. This large sample will add value beyond the individual datasets because it will be a larger sample of IR clusters than ever before and will have sufficient diversity in mass, redshift, and dynamical state to allow us to differentiate amongst the effects of these cluster properties. An infrared sample is important because it is unaffected by dust extinction while at the same time is an excellent measure of both stellar mass (IRAC wavelengths) and star formation rate (MIPS wavelengths). Additionally, IRAC can be used to differentiate star forming galaxies (SFG) from active galactic nuclei (AGN), due to their different spectral shapes in this wavelength regime. Specifically, we intend to identify SFG and AGN in galaxy groups and clusters. Groups and clusters differ from the field because the galaxy densities are higher, there is a large potential well due mainly to the mass of the dark matter, and there is hot X-ray gas (the intracluster medium; ICM). We will examine the impact of these differences in environment on galaxy formation by comparing cluster properties of AGN and SFG to those in the field. Also, we will

  19. Empirical Power and Sample Size Calculations for Cluster-Randomized and Cluster-Randomized Crossover Studies

    Reich, Nicholas G.; Myers, Jessica A.; Obeng, Daniel; Milstone, Aaron M.; Perl, Trish M.

    2012-01-01

    In recent years, the number of studies using a cluster-randomized design has grown dramatically. In addition, the cluster-randomized crossover design has been touted as a methodological advance that can increase efficiency of cluster-randomized studies in certain situations. While the cluster-randomized crossover trial has become a popular tool, standards of design, analysis, reporting and implementation have not been established for this emergent design. We address one particular aspect of c...

  20. Cluster Bulleticity

    Massey, Richard; Kitching, Thomas D.; Nagai, Daisuke

    2010-01-01

    The unique properties of dark matter are revealed during collisions between clusters of galaxies, like the bullet cluster (1E 0657-56) and baby bullet (MACSJ0025-12). These systems provide evidence for an additional, invisible mass in the separation between the distribution of their total mass, measured via gravitational lensing, and their ordinary 'baryonic' matter, measured via its X-ray emission. Unfortunately, the information available from these systems is limited by th...

  1. Cluster Bulleticity

    Massey, R; Kitching, T.; Nagai, D.

    2010-01-01

    The unique properties of dark matter are revealed during collisions between clusters of galaxies, such as the bullet cluster (1E 0657−56) and baby bullet (MACS J0025−12). These systems provide evidence for an additional, invisible mass in the separation between the distributions of their total mass, measured via gravitational lensing, and their ordinary ‘baryonic’ matter, measured via its X-ray emission. Unfortunately, the information available from these systems is limited by their rarity. C...

  2. Cluster generator

    Donchev, Todor I.; Petrov, Ivan G.

    2011-05-31

    Described herein is an apparatus and a method for producing atom clusters based on a gas discharge within a hollow cathode. The hollow cathode includes one or more walls. The one or more walls define a sputtering chamber within the hollow cathode and include a material to be sputtered. A hollow anode is positioned at an end of the sputtering chamber, and atom clusters are formed when a gas discharge is generated between the hollow anode and the hollow cathode.

  3. CANCER

    N. Kavoussi

    1973-09-01

    Full Text Available There are many carcinogenetic elements in industry and it is for this reason that study and research concerning the effect of these materials is carried out on a national and international level. The establishment and growth of cancer are affected by different factors in two main areas:-1 The nature of the human or animal including sex, age, point and method of entry, fat metabolism, place of agglomeration of carcinogenetic material, amount of material absorbed by the body and the immunity of the body.2 The different nature of the carcinogenetic material e.g. physical, chemical quality, degree of solvency in fat and purity of impurity of the element. As the development of cancer is dependent upon so many factors, it is extremely difficult to determine whether a causative element is principle or contributory. Some materials are not carcinogenetic when they are pure but become so when they combine with other elements. All of this creates an industrial health problem in that it is almost impossible to plan an adequate prevention and safety program. The body through its system of immunity protects itself against small amounts of carcinogens but when this amount increases and reaches a certain level the body is not longer able to defend itself. ILO advises an effective protection campaign against cancer based on the Well –equipped laboratories, Well-educated personnel, the establishment of industrial hygiene within factories, the regular control of safety systems, and the implementation of industrial health principles and research programs.

  4. Integrative clustering of high-dimensional data with joint and individual clusters.

    Hellton, Kristoffer H; Thoresen, Magne

    2016-07-01

    When measuring a range of genomic, epigenomic, and transcriptomic variables for the same tissue sample, an integrative approach to analysis can strengthen inference and lead to new insights. This is also the case when clustering patient samples, and several integrative cluster procedures have been proposed. Common for these methodologies is the restriction to a joint cluster structure, equal in all data layers. We instead present a clustering extension of the Joint and Individual Variance Explained algorithm (JIVE), Joint and Individual Clustering (JIC), enabling the construction of both joint and data type-specific clusters simultaneously. The procedure builds on the connection between k-means clustering and principal component analysis, and hence, the number of clusters can be determined by the number of relevant principal components. The proposed procedure is compared with iCluster, a method restricted to only joint clusters, and simulations show that JIC is clearly advantageous when both individual and joint clusters are present. The procedure is illustrated using gene expression and miRNA levels measured in breast cancer tissue from The Cancer Genome Atlas. The analysis suggests a division into three joint clusters common for both data types and two expression-specific clusters. PMID:26917056

  5. Clustering of Sun Exposure Measurements

    Have, Anna Szynkowiak; Larsen, Jan; Hansen, Lars Kai;

    2002-01-01

    Sun-habits exposure and eventually assessing the risk of skin cancer. A general probabilistic framework originally developed for text and Web mining is demonstrated to be useful for clustering of behavioral data. The framework combines principal component subspace projection with probabilistic...

  6. Astrophysics of galaxy clusters

    Ettori, Stefano

    2016-07-01

    As the nodes of the cosmic web, clusters of galaxies trace the large-scale distribution of matter in the Universe. They are thus privileged sites in which to investigate the complex physics of structure formation. However, the complete story of how these structures grow, and how they dissipate the gravitational and non-thermal components of their energy budget over cosmic time, is still beyond our grasp. Most of the baryons gravitationally bound to the cluster's halo is in the form of a diffuse, hot, metal-enriched plasma that radiates primarily in the X-ray band. X-ray observations of the evolving cluster population provide a unique opportunity to address such fundamental open questions as: How do hot diffuse baryons accrete and dynamically evolve in dark matter potentials? How and when was the energy that we observe in the ICM generated and distributed? Where and when are heavy elements produced and how are they circulated? We will present the ongoing activities to define the strategy on how an X-ray observatory with large collecting area and an unprecedented combination of high spectral and angular resolution, such as Athena, can address these questions.

  7. Accounting for regional background and population size in the detection of spatial clusters and outliers using geostatistical filtering and spatial neutral models: the case of lung cancer in Long Island, New York

    Goovaerts Pierre

    2004-07-01

    Full Text Available Abstract Background Complete Spatial Randomness (CSR is the null hypothesis employed by many statistical tests for spatial pattern, such as local cluster or boundary analysis. CSR is however not a relevant null hypothesis for highly complex and organized systems such as those encountered in the environmental and health sciences in which underlying spatial pattern is present. This paper presents a geostatistical approach to filter the noise caused by spatially varying population size and to generate spatially correlated neutral models that account for regional background obtained by geostatistical smoothing of observed mortality rates. These neutral models were used in conjunction with the local Moran statistics to identify spatial clusters and outliers in the geographical distribution of male and female lung cancer in Nassau, Queens, and Suffolk counties, New York, USA. Results We developed a typology of neutral models that progressively relaxes the assumptions of null hypotheses, allowing for the presence of spatial autocorrelation, non-uniform risk, and incorporation of spatially heterogeneous population sizes. Incorporation of spatial autocorrelation led to fewer significant ZIP codes than found in previous studies, confirming earlier claims that CSR can lead to over-identification of the number of significant spatial clusters or outliers. Accounting for population size through geostatistical filtering increased the size of clusters while removing most of the spatial outliers. Integration of regional background into the neutral models yielded substantially different spatial clusters and outliers, leading to the identification of ZIP codes where SMR values significantly depart from their regional background. Conclusion The approach presented in this paper enables researchers to assess geographic relationships using appropriate null hypotheses that account for the background variation extant in real-world systems. In particular, this new

  8. Residential Mobility and Breast Cancer in Marin County, California, USA

    Geoffrey M. Jacquez

    2013-12-01

    Full Text Available Marin County (California, USA has among the highest incidences of breast cancer in the U.S. A previously conducted case-control study found eight significant risk factors in participants enrolled from 1997–1999. These included being premenopausal, never using birth control pills, lower highest lifetime body mass index, having four or more mammograms from 1990–1994, beginning drinking alcohol after age 21, drinking an average two or more alcoholic drinks per day, being in the highest quartile of pack-years of cigarette smoking, and being raised in an organized religion. Previously conducted surveys provided residential histories; while  statistic accounted for participants’ residential mobility, and assessed clustering of breast cancer cases relative to controls based on the known risk factors. These identified specific cases, places, and times of excess breast cancer risk. Analysis found significant global clustering of cases localized to specific residential histories and times. Much of the observed clustering occurred among participants who immigrated to Marin County. However, persistent case-clustering of greater than fifteen years duration was also detected. Significant case-clustering among long-term residents may indicate geographically localized risk factors not accounted for in the study design, as well as uncertainty and incompleteness in the acquired addresses. Other plausible explanations include environmental risk factors and cases tending to settle in specific areas. A biologically plausible exposure or risk factor has yet to be identified.

  9. PRIVACY PRESERVING CLUSTERING BASED ON LINEAR APPROXIMATION OF FUNCTION

    Rajesh Pasupuleti; Narsimha Gugulothu

    2014-01-01

    Clustering analysis initiatives  a new direction in data mining that has major impact in various domains including machine learning, pattern recognition, image processing, information retrieval and bioinformatics. Current clustering techniques address some of the  requirements not adequately and failed in standardizing clustering algorithms to support for all real applications. Many clustering methods mostly depend on user specified parametric methods and initial seeds of clusters are randoml...

  10. A Life’s Addresses

    Balle, Søren Hattesen

    2006-01-01

    number of different aspects of Koch’s own life such as marijuana, the Italian language, World War Two, etc. In this way, the book quite conventionally inscribes itself in the tradition of post-enlightenment apostrophic poetry as characterized by Culler, just as all its poems belong to the favourite......, are literally troped as and addressed in the manner of so many acquaintances, personal connections, relatives, friends, lovers, and family members in Koch’s life. My main claim is that Koch’s poetics in New Addresses is one that slightly dislocates the romantic dichotomy between the world of things...

  11. Denominators of cluster variables

    Buan, Aslak Bakke; Marsh, Robert J.; Reiten, Idun

    2007-01-01

    Associated to any acyclic cluster algebra is a corresponding triangulated category known as the cluster category. It is known that there is a one-to-one correspondence between cluster variables in the cluster algebra and exceptional indecomposable objects in the cluster category inducing a correspondence between clusters and cluster-tilting objects. Fix a cluster-tilting object T and a corresponding initial cluster. By the Laurent phenomenon, every cluster variable can be written as a Laurent...

  12. Rationale, design, and implementation protocol of the Dutch clinical practice guideline Pain in patients with cancer: a cluster randomised controlled trial with short message service (SMS and interactive voice response (IVR

    te Boveldt Nienke

    2011-12-01

    Full Text Available Abstract Background One-half of patients with cancer have pain. In nearly one out of two cancer patients with pain, this was undertreated. Inadequate pain control still remains an important problem in this group of patients. Therefore, in 2008 a national, evidence-based multidisciplinary clinical practice guideline 'pain in patients with cancer' has been developed. Yet, publishing a guideline is not enough. Implementation is needed to improve pain management. An innovative implementation strategy, Short Message Service with Interactive Voice Response (SVS-IVR, has been developed and pilot tested. This study aims to evaluate on effectiveness of this strategy to improve pain reporting, pain measurement and adequate pain therapy. In addition, whether the active role of the patient and involvement of caregivers in pain management may change. Methods/design A cluster randomised controlled trial with two arms will be performed in six oncology outpatient clinics of hospitals in the Southeastern region of the Netherlands, with three hospitals in the intervention and three in the control condition. Follow-up measurements will be conducted in all hospitals to study the long-term effect of the intervention. The intervention includes training of professionals (medical oncologists, nurses, and general practitioners and SMS-IVR to report pain in patients with cancer to improve pain reporting by patients, pain management by medical oncologists, nurses, and general practitioners, and decrease pain intensity. Discussion This innovative implementation strategy with technical tools and the involvement of patients, may enhance the use of the guideline 'pain in patients with cancer' for pain management. Short Message Service alerts may serve as a tool to support self-management of patients. Therefore, the SMS-IVR intervention may increase the feeling of having control over one's life. Trail registration Netherlands Trial Register (NTR: NTR2739

  13. An Investigation of Symptom Clusters of Gastrointestinal Cancer Patients Within One Week After Operation%胃肠道肿瘤患者术后一周内症状群的调查研究

    朱宇; 王维利; 周利华; 王婷; 栾贝贝

    2015-01-01

    目的:探索胃肠道肿瘤患者术后1周内的症状及症状群的发生情况。方法选取2013年1—12月于上海市第六人民医院普外科住院治疗的胃肠道肿瘤术后第7天的患者84例为研究对象。采取横断面研究方法,利用一般情况问卷、记忆症状评估量表( MSAS)对患者进行问卷调查。结果发放问卷84份,回收有效问卷79份,有效回收率为94.0%。发生率前10位的症状依次是体质量下降(97.5%,77/79)、口干(96.2%,76/79)、疼痛(91.1%,72/79)、冒汗(84.8%,67/79)、精力不足(78.5%,62/79)、咳嗽(69.6%,55/79)、入睡困难(67.1%,53/79)、昏昏欲睡(51.9%,41/79)、腹胀(48.1%,38/79)、紧张(40.5%,32/79)。 Spearman相关性分析结果显示,精力不足与体质量下降、口干、疼痛、冒汗、咳嗽、入睡困难、昏昏欲睡、紧张,冒汗与口干、疼痛、入睡困难、昏昏欲睡、腹胀,疼痛与入睡困难、昏昏欲睡、紧张,紧张与咳嗽、入睡困难、腹胀,口干与体质量下降、入睡困难,咳嗽与腹胀分别呈正相关(P<0.05)。探索性因子分析结果显示,共有6个症状群,分别为疾病行为症状群、困惑症状群、消化道症状群、手术相关症状群、疼痛相关症状群和其他症状群,总方差贡献率为56.54%,各症状群的方差贡献率分别为26.65%、8.02%、6.81%、5.78%、4.78%、4.50%, Cronbach′sα系数分别为0.83、0.72、0.82、0.57、0.61、0.51。结论胃肠道肿瘤患者术后1周内存在多个症状群,即疾病行为症状群、困惑症状群、消化道症状群、手术相关症状群、疼痛相关症状群和其他症状群,针对症状群的干预模式可能产生更好的临床效果。%Objective To explore the occurrences of symptoms and symptom clusters of gastrointestinal cancer patients within one week after

  14. Clustering of cancer among families of cases with Hodgkin Lymphoma (HL, Multiple Myeloma (MM, Non-Hodgkin's Lymphoma (NHL, Soft Tissue Sarcoma (STS and control subjects

    Karunanayake Chandima P

    2009-02-01

    Full Text Available Abstract Background A positive family history of chronic diseases including cancer can be used as an index of genetic and shared environmental influences. The tumours studied have several putative risk factors in common including occupational exposure to certain pesticides and a positive family history of cancer. Methods We conducted population-based studies of Hodgkin lymphoma (HL, Multiple Myeloma (MM, non-Hodgkin's Lymphoma (NHL, and Soft Tissue Sarcoma (STS among male incident case and control subjects in six Canadian provinces. The postal questionnaire was used to collect personal demographic data, a medical history, a lifetime occupational history, smoking pattern, and the information on family history of cancer. The family history of cancer was restricted to first degree relatives and included relationship to the index subjects and the types of tumours diagnosed among relatives. The information was collected on 1528 cases (HL (n = 316, MM (n = 342, NHL (n = 513, STS (n = 357 and 1506 age ± 2 years and province of residence matched control subjects. Conditional logistic regression analyses adjusted for the matching variables were conducted. Results We found that most families were cancer free, and a minority included two or more affected relatives. HL [(ORadj (95% CI 1.79 (1.33, 2.42], MM (1.38(1.07, 1.78, NHL (1.43 (1.15, 1.77, and STS cases (1.30(1.00, 1.68 had higher incidence of cancer if any first degree relative was affected with cancer compared to control families. Constructing mutually exclusive categories combining "family history of cancer" (yes, no and "pesticide exposure ≥10 hours per year" (yes, no indicated that a positive family history was important for HL (2.25(1.61, 3.15, and for the combination of the two exposures increased risk for MM (1.69(1.14,2.51. Also, a positive family history of cancer both with (1.72 (1.21, 2.45 and without pesticide exposure (1.43(1.12, 1.83 increased risk of NHL. Conclusion HL, MM, NHL

  15. Vacancy-indium clusters in implanted germanium

    Chroneos, Alexander I.

    2010-04-01

    Secondary ion mass spectroscopy measurements of heavily indium doped germanium samples revealed that a significant proportion of the indium dose is immobile. Using electronic structure calculations we address the possibility of indium clustering with point defects by predicting the stability of indium-vacancy clusters, InnVm. We find that the formation of large clusters is energetically favorable, which can explain the immobility of the indium ions. © 2010 Elsevier B.V. All rights reserved.

  16. Keynote Address: Rev. Mark Massa

    Massa, Mark S.

    2011-01-01

    Rev. Mark S. Massa, S.J., is the dean and professor of Church history at the School of Theology and Ministry at Boston College. He was invited to give a keynote to begin the third Catholic Higher Education Collaborative Conference (CHEC), cosponsored by Boston College and Fordham University. Fr. Massa's address posed critical questions about…

  17. Agenda to address climate change

    This document looks at addressing climate change in the 21st century. Topics covered are: Responding to climate change; exploring new avenues in energy efficiency; energy efficiency and alternative energy; residential sector; commercial sector; industrial sector; transportation sector; communities; renewable energy; understanding forests to mitigate and adapt to climate change; the Forest Carbon budget; mitigation and adaptation

  18. Introduction to IP address management

    Rooney, Tim

    2010-01-01

    "The book begins with a basic overview of IP networking, followed by chapters describing each of the three core IPAM technologies: IPv4 and IPv6 addressing, DHCP, and DNS. The next three chapters describe IPAM management techniques and practice, followed by chapters on IPv4-IPv6 co-existence, security and the IPAM business case"--

  19. Communities Address Barriers to Connectivity.

    Byers, Anne

    1996-01-01

    Rural areas lag behind urban areas in access to information technologies. Public institutions play a critical role in extending the benefits of information technologies to those who would not otherwise have access. The most successful rural telecommunications plans address barriers to use, such as unawareness of the benefits, technophobia, the…

  20. Improved Secure Address Resolution Protocol

    Abhishek Samvedi; Sparsh Owlak; Vijay Kumar Chaurasia

    2014-01-01

    In this paper, an improved secure address resolution protocol is presented where ARP spoofing attack is prevented. The proposed methodology is a centralised methodology for preventing ARP spoofing attack. In the proposed model there is a central server on a network or subnet which prevents ARP spoofing attack.

  1. Combined hepatocellular cholangiocarcinoma: Controversies to be addressed

    Wang, An-Qiang; Zheng, Yong-Chang; Du, Juan; Zhu, Cheng-Pei; Huang, Han-Chun; Wang, Shan-Shan; Wu, Liang-Cai; Wan, Xue-Shuai; Zhang, Hao-Hai; Miao, Ruo-Yu; Sang, Xin-Ting; Zhao, Hai-Tao

    2016-01-01

    Combined hepatocellular cholangiocarcinoma (CHC) accounts for 0.4%-14.2% of primary liver cancer cases and possesses pathological features of both hepatocellular carcinoma and cholangiocarcinoma. Since this disease was first described and classified in 1949, the classification of CHC has continuously evolved. The latest definition and classification of CHC by the World Health Organization is based on the speculation that CHC arises from hepatic progenitor cells. However, there is no evidence demonstrating the common origin of different components of CHC. Furthermore, the definition of CHC subtypes is still ambiguous and the identification of CHC subtype when a single tumor contains many components has remained unresolved. In addition, there is no summary on the newly recognized histopathology features or the contribution of CHC components to prognosis and outcome of this disease. Here we provide a review of the current literature to address these questions. PMID:27182157

  2. Cluster Bulleticity

    Massey, Richard; Nagai, Daisuke

    2010-01-01

    The unique properties of dark matter are revealed during collisions between clusters of galaxies, like the bullet cluster (1E 0657-56) and baby bullet (MACSJ0025-12). These systems provide evidence for an additional, invisible mass in the separation between the distribution of their total mass, measured via gravitational lensing, and their ordinary 'baryonic' matter, measured via its X-ray emission. Unfortunately, the information available from these systems is limited by their rarity. Constraints on the properties of dark matter, such as its interaction cross-section, are therefore restricted by uncertainties in the individual systems' impact velocity, impact parameter and orientation with respect to the line of sight. Here we develop a complementary, statistical measurement in which every piece of substructure falling into every massive cluster is treated as a bullet. We define 'bulleticity' as the mean separation between dark matter and ordinary matter, and we measure a positive signal in hydrodynamical si...

  3. A strategy for cancer control in Ireland / National Cancer Forum

    Department of Health and Children

    2006-01-01

    To address the rapidly rising burden of cancer, this second National Cancer Strategy A Strategy for Cancer Control in Ireland 2006 advocates a comprehensive cancer control policy programme. Cancer control is a whole population, integrated and cohesive approach to cancer that involves prevention, screening, diagnosis, treatment, and supportive and palliative care. It places a major emphasis on measurement of need and on addressing inequalities and implies that we must focus on ensuring that al...

  4. Korean women: breast cancer knowledge, attitudes and behaviors

    Ryujin Lisa T

    2001-08-01

    Full Text Available Abstract Introduction Clustered within the nomenclature of Asian American are numerous subgroups, each with their own ethnic heritage, cultural, and linguistic characteristics. An understanding of the prevailing health knowledge, attitudes, and screening behaviors of these subgroups is essential for creating population-specific health promotion programs. Methods Korean American women (123 completed baseline surveys of breast cancer knowledge, attitudes, and screening behaviors as part of an Asian grocery store-based breast cancer education program evaluation. Follow-up telephone surveys, initiated two weeks later, were completed by 93 women. Results Low adherence to the American Cancer Society's breast cancer screening guidelines and insufficient breast cancer knowledge were reported. Participants' receptiveness to the grocery store-based breast cancer education program underscores the importance of finding ways to reach Korean women with breast cancer early detection information and repeated cues for screening. The data also suggest that the Asian grocery store-based cancer education program being tested may have been effective in motivating a proportion of the women to schedule a breast cancer screening between the baseline and follow-up surveys. Conclusion The program offers a viable strategy to reach Korean women that addresses the language, cultural, transportation, and time barriers they face in accessing breast cancer early detection information.

  5. Promoting state health department evidence-based cancer and chronic disease prevention: a multi-phase dissemination study with a cluster randomized trial component

    Allen, Peg; Sequeira, Sonia; Jacob, Rebekah R.; Hino, Adriano Akira Ferreira; Stamatakis, Katherine A; Harris, Jenine K.; Elliott, Lindsay; Kerner, Jon F.; Jones, Ellen; Dobbins, Maureen; Baker, Elizabeth A.; Brownson, Ross C.

    2013-01-01

    Background Cancer and other chronic diseases reduce quality and length of life and productivity, and represent a significant financial burden to society. Evidence-based public health approaches to prevent cancer and other chronic diseases have been identified in recent decades and have the potential for high impact. Yet, barriers to implement prevention approaches persist as a result of multiple factors including lack of organizational support, limited resources, competing emerging priorities...

  6. Identification of familial clustering for cancer through the family health strategy program in the municipality of Angra dos Reis, Rio de Janeiro, Brazil

    Vieira, Daniela Koeller Rodrigues; Attianezi, Margareth; Esposito, Ana Carolina; Barth, Anneliese; Sequeira, Cecília; Krause, Nathália; Oliveira, Vivian; Lucidi, Alexandre; Serao, Cassio; Llerena, Juan C

    2014-01-01

    Identification of families with history of cancer in the municipality of Angra dos Reis, Rio de Janeiro (Brazil), through the Brazilian Unified Primary Health Care System was explored based in the Community Health Agents (CHA) program. This study was divided into two phases: a descriptive one with a cross-sectional epidemiological data of families with history of cancer based on CHA-collected data from home visits in four primary health care units. The second phase consisted in identifying fa...

  7. Fuzzy Clustering

    Berks, G.; Keyserlingk, Diedrich Graf von; Jantzen, Jan;

    2000-01-01

    and clustering are the basic concerns in medicine. Classification depends on definitions of the classes and their required degree of participant of the elements in the cases' symptoms. In medicine imprecise conditions are the rule and therefore fuzzy methods are much more suitable than crisp ones...

  8. Gene Expression Data Knowledge Discovery using Global and Local Clustering

    H, Swathi

    2010-01-01

    To understand complex biological systems, the research community has produced huge corpus of gene expression data. A large number of clustering approaches have been proposed for the analysis of gene expression data. However, extracting important biological knowledge is still harder. To address this task, clustering techniques are used. In this paper, hybrid Hierarchical k-Means algorithm is used for clustering and biclustering gene expression data is used. To discover both local and global clustering structure biclustering and clustering algorithms are utilized. A validation technique, Figure of Merit is used to determine the quality of clustering results. Appropriate knowledge is mined from the clusters by embedding a BLAST similarity search program into the clustering and biclustering process. To discover both local and global clustering structure biclustering and clustering algorithms are utilized. To determine the quality of clustering results, a validation technique, Figure of Merit is used. Appropriate ...

  9. Quotients of cluster categories

    Jorgensen, Peter

    2007-01-01

    Higher cluster categories were recently introduced as a generalization of cluster categories. This paper shows that in Dynkin types A and D, half of all higher cluster categories are actually just quotients of cluster categories. The other half can be obtained as quotients of 2-cluster categories, the "lowest" type of higher cluster categories. Hence, in Dynkin types A and D, all higher cluster phenomena are implicit in cluster categories and 2-cluster categories. In contrast, the same is not...

  10. Data clustering and visualization via energy minimization

    We discuss a stochastic method for configurational energy minimization, with applications to high-dimensional data clustering and visualization. Also, we demonstrate numerically the ability of the method to capture meaningful biological information from cancer-related microarray data, and to differentiate between different leukemia cancer subtypes. -- Highlights: → An energy minimization method for data clustering and visualization is presented. → The method is robust and stable, and well suited for exploratory data analysis. → We demonstrate its ability to capture meaningful information from microarray data. → The method successfully differentiated between different leukemia cancer subtypes.

  11. Regional Innovation Clusters

    Small Business Administration — The Regional Innovation Clusters serve a diverse group of sectors and geographies. Three of the initial pilot clusters, termed Advanced Defense Technology clusters,...

  12. Empirical power and sample size calculations for cluster-randomized and cluster-randomized crossover studies.

    Nicholas G Reich

    Full Text Available In recent years, the number of studies using a cluster-randomized design has grown dramatically. In addition, the cluster-randomized crossover design has been touted as a methodological advance that can increase efficiency of cluster-randomized studies in certain situations. While the cluster-randomized crossover trial has become a popular tool, standards of design, analysis, reporting and implementation have not been established for this emergent design. We address one particular aspect of cluster-randomized and cluster-randomized crossover trial design: estimating statistical power. We present a general framework for estimating power via simulation in cluster-randomized studies with or without one or more crossover periods. We have implemented this framework in the clusterPower software package for R, freely available online from the Comprehensive R Archive Network. Our simulation framework is easy to implement and users may customize the methods used for data analysis. We give four examples of using the software in practice. The clusterPower package could play an important role in the design of future cluster-randomized and cluster-randomized crossover studies. This work is the first to establish a universal method for calculating power for both cluster-randomized and cluster-randomized clinical trials. More research is needed to develop standardized and recommended methodology for cluster-randomized crossover studies.

  13. Choice Internal report I-5: Clustering for Success: Cluster to establish EU-China

    Owens, TJ; Itagaki, T

    2014-01-01

    A lot of work has been done which highlights the important role clustering plays in the establishment of EU-China collaborative activities in ICT R&D&I. This report reviews much of this work and in doing so provides an overview of different approaches to clustering that have been taken and their effectiveness. The review addresses the European ICT Poles of Excellence, clustering in ICT in China, cross-sector clustering in the EU, regional clustering in the EU, individual ‘broadband’ links, na...

  14. Irradiation and various cytotoxic drugs enhance tyrosine phosphorylation and {beta}{sub 1}-integrin clustering in human A549 lung cancer cells in a substratum-dependent manner in vitro

    Cordes, N.; Beinke, C.; Beuningen, D. van [Inst. of Radiobiology, German Armed Forces, Munich (Germany); Plasswilm, L. [Dept. of Radiation Oncology, Univ. Hospital Basel (Swaziland)

    2004-03-01

    Background and purpose: interactions of cells with a substratum, especially extracellular matrix proteins, initiate clustering of integrin receptors in the cell membrane. This process represents the initial step for the activation of signaling pathways regulating survival, proliferation, differentiation, adhesion, and migration, and could, furthermore, be important for cellular resistance-mediating mechanisms against radiation or cytotoxic drugs. The lack of data elucidating the impact of irradiation or cytotoxic drugs on this important phenomenon led to this study on human A549 lung cancer cells in vitro. Material and methods: the human lung carcinoma cell line A549 grown on polystyrene or fibronectin (FN) was irradiated with 0-8 Gy or treated with cisplatin (0.1-50 {mu}M), paclitaxel (0.1-50 nM), or mitomycin (0.1-50 {mu}M). Colony formation assays, immunofluorescence staining in combination with activation of integrin clustering using anti-{beta}{sub 1}-integrin antibodies (K20), and Western blotting for tyrosine phosphorylation under treatment of cells with the IC{sub 50} for irradiation (2 Gy; IC{sub 50} = 2.2 Gy), cisplatin (2 {mu}M), paclitaxel (5 nM), or mitomycin (7 {mu}M) were performed. Results: attachment of cells to FN resulted in a significantly reduced radio- and chemosensitivity compared to polystyrene. The clustering of {beta}{sub 1}-integrins examined by immunofluorescence staining was only stimulated by irradiation, cisplatin, paclitaxel, or mitomycin in case of cell attachment to FN. By contrast, tyrosine phosphorylation, as one of the major events following {beta}{sub 1}-integrin clustering, showed a 3.7-fold, FN-related enhancement, and treatment of cells with the IC{sub 50} of radiation, cisplatin, paclitaxel, or mitomycin showed a substratum-dependent induction. Conclusion: for the first time, a strong influence of irradiation and a variety of cytotoxic drugs on the clustering of {beta}{sub 1}-integrins could be shown. This event is a

  15. Addressing the workforce pipeline challenge

    A secure and affordable energy supply is essential for achieving U.S. national security, in continuing U.S. prosperity and in laying the foundations to enable future economic growth. To meet this goal the next generation energy workforce in the U.S., in particular those needed to support instrumentation, controls and advanced operations and maintenance, is a critical element. The workforce is aging and a new workforce pipeline, to support both current generation and new build has yet to be established. The paper reviews the challenges and some actions being taken to address this need. (authors)

  16. Addressing the workforce pipeline challenge

    Leonard Bond; Kevin Kostelnik; Richard Holman

    2006-11-01

    A secure and affordable energy supply is essential for achieving U.S. national security, in continuing U.S. prosperity and in laying the foundations to enable future economic growth. To meet this goal the next generation energy workforce in the U.S., in particular those needed to support instrumentation, controls and advanced operations and maintenance, is a critical element. The workforce is aging and a new workforce pipeline, to support both current generation and new build has yet to be established. The paper reviews the challenges and some actions being taken to address this need.

  17. Nanoscale content-addressable memory

    Davis, Bryan (Inventor); Principe, Jose C. (Inventor); Fortes, Jose (Inventor)

    2009-01-01

    A combined content addressable memory device and memory interface is provided. The combined device and interface includes one or more one molecular wire crossbar memories having spaced-apart key nanowires, spaced-apart value nanowires adjacent to the key nanowires, and configurable switches between the key nanowires and the value nanowires. The combination further includes a key microwire-nanowire grid (key MNG) electrically connected to the spaced-apart key nanowires, and a value microwire-nanowire grid (value MNG) electrically connected to the spaced-apart value nanowires. A key or value MNGs selects multiple nanowires for a given key or value.

  18. Detecting Sub-Topic Correspondence through Bipartite Term Clustering

    Marx, Zvika; Dagan, Ido; Shamir, Eli

    1999-01-01

    This paper addresses a novel task of detecting sub-topic correspondence in a pair of text fragments, enhancing common notions of text similarity. This task is addressed by coupling corresponding term subsets through bipartite clustering. The paper presents a cost-based clustering scheme and compares it with a bipartite version of the single-link method, providing illustrating results.

  19. Gain of a 500-fold sensitivity on an intravital MR Contrast Agent based on an endohedral Gadolinium-Cluster-Fullerene-Conjugate: A new chance in cancer diagnostics

    Braun, Klaus; Dunsch, Lothar; Pipkorn, Ruediger; Bock, Michael; Baeuerle, Tobias; Yang, Shangfeng; Waldeck, Waldemar; Wiessler, Manfred

    2010-01-01

    Among the applications of fullerene technology in health sciences the expanding field of magnetic resonance imaging (MRI) of molecular processes is most challenging. Here we present the synthesis and application of a GdxSc3-xN@C80-BioShuttle-conjugate referred to as Gd-cluster@-BioShuttle, which features high proton relaxation and, in comparison to the commonly used contrast agents, high signal enhancement at very low Gd concentrations. This modularly designed contrast agent represents a new tool for improved monitoring and evaluation of interventions at the gene transcription level. Also, a widespread monitoring to track individual cells is possible, as well as sensing of microenvironments. Furthermore, BioShuttle can also deliver constructs for transfection or active pharmaceutical ingredients, and scaffolding for incorporation with the host's body. Using the Gd-cluster@-BioShuttle as MRI contrast agent allows an improved evaluation of radio- or chemotherapy treated tissues. PMID:20567614

  20. Gain of a 500-fold sensitivity on an intravital MR Contrast Agent based on an endohedral Gadolinium-Cluster-Fullerene-Conjugate: A new chance in cancer diagnostics

    Klaus Braun, Lothar Dunsch, Ruediger Pipkorn, Michael Bock, Tobias Baeuerle, Shangfeng Yang, Waldemar Waldeck, Manfred Wiessler

    2010-01-01

    Full Text Available Among the applications of fullerene technology in health sciences the expanding field of magnetic resonance imaging (MRI of molecular processes is most challenging. Here we present the synthesis and application of a GdxSc3-xN@C80-BioShuttle-conjugate referred to as Gd-cluster@-BioShuttle, which features high proton relaxation and, in comparison to the commonly used contrast agents, high signal enhancement at very low Gd concentrations. This modularly designed contrast agent represents a new tool for improved monitoring and evaluation of interventions at the gene transcription level. Also, a widespread monitoring to track individual cells is possible, as well as sensing of microenvironments. Furthermore, BioShuttle can also deliver constructs for transfection or active pharmaceutical ingredients, and scaffolding for incorporation with the host's body. Using the Gd-cluster@-BioShuttle as MRI contrast agent allows an improved evaluation of radio- or chemotherapy treated tissues.

  1. The dyslipidemia-associated SNP on the APOA1/C3/A5 gene cluster predicts post-surgery poor outcome in Taiwanese breast cancer patients: a 10-year follow-up study

    Post-surgery therapies are given to early-stage breast cancer patients due to the possibility of residual micrometastasis, and optimized by clincopathological parameters such as tumor stage, and hormone receptor/lymph node status. However, current efficacy of post-surgery therapies is unsatisfactory, and may be varied according to unidentified patient genetic factors. Increases of breast cancer occurrence and recurrence have been associated with dyslipidemia, which can attribute to other known risk factors of breast cancer including obesity, diabetes and metabolic syndrome. Thus we reasoned that dyslipidemia-associated nucleotide polymorphisms (SNPs) on the APOA1/C3/A5 gene cluster may predict breast cancer risk and tumor progression. We analyzed the distribution of 5 selected APOA1/C3/A5 SNPs in recruited Taiwanese breast cancer patients (n=223) and healthy controls (n=162). The association of SNP (APOA1 rs670) showing correlation with breast cancer with baseline and follow-up parameters was further examined. APOA1 rs670 A allele carriage was higher in breast cancer patients than controls (59.64% vs. 48.77%, p=0.038). The rs670 A allele carrying patients showed less favorable baseline phenotype with positive lymph nodes (G/A: OR=3.32, 95% CI=1.77-6.20, p<0.001; A/A: OR=2.58, 95% CI=1.05-6.32, p=0.039) and negative hormone receptor expression (A/A: OR=4.85, 95%CI=1.83-12.83, p=0.001) in comparison to G/G carriers. Moreover, rs670 A/A carrying patients had higher risks in both tumor recurrence (HR=3.12, 95% CI=1.29-7.56, p=0.012) and mortality (HR=4.36, 95% CI=1.52-12.47, p=0.006) than patients with no A alleles after adjustments for associated baseline parameters. Furthermore, the prognostic effect of rs670 A/A carriage was most evident in lymph node-negative patients, conferring to the highest risks of recurrence (HR=4.98, 95% CI=1.40-17.70, p=0.013) and mortality (HR=9.87, 95%CI=1.60-60.81, p=0.014) than patients with no A alleles. APOA1 rs670 A/A carriage showed

  2. Gain of a 500-fold sensitivity on an intravital MR Contrast Agent based on an endohedral Gadolinium-Cluster-Fullerene-Conjugate: A new chance in cancer diagnostics

    Braun, Klaus; Dunsch, Lothar; Pipkorn, Ruediger; Bock, Michael; Baeuerle, Tobias; Yang, Shangfeng; Waldeck, Waldemar; Wiessler, Manfred

    2010-01-01

    Among the applications of fullerene technology in health sciences the expanding field of magnetic resonance imaging (MRI) of molecular processes is most challenging. Here we present the synthesis and application of a GdxSc3-xN@C80-BioShuttle-conjugate referred to as Gd-cluster@-BioShuttle, which features high proton relaxation and, in comparison to the commonly used contrast agents, high signal enhancement at very low Gd concentrations. This modularly designed contrast agent represents a new ...

  3. Investigation of spatio-temporal cancer clusters using residential histories in a case–control study of non-Hodgkin lymphoma in the United States

    Nordsborg, Rikke Baastrup; Sloan, Chantel D.; Shahid, Haseeb; Jacquez, Geoffrey M; De Roos, Anneclaire J; Cerhan, James R.; Cozen, Wendy; Severson, Richard; Ward, Mary H; Morton, Lindsay; Raaschou-Nielsen, Ole; Meliker, Jaymie R.

    2015-01-01

    Background Non-Hodgkin lymphoma (NHL) is an enigmatic disease with few known risk factors. Spatio-temporal epidemiologic analyses have the potential to reveal patterns that may give clues to new risk factors worthy of investigation. We sought to investigate clusters of NHL through space and time based on life course residential histories. Methods We used residential histories from a population-based NHL case–control study of 1300 cases and 1044 controls with recruitment centers in Iowa, Detro...

  4. Clustering experiments

    Wang, Zhengwei; Tan, Ken; Di, Zengru; Roehner, Bertrand M

    2011-01-01

    It is well known that bees cluster together in cold weather, in the process of swarming (when the ``old'' queen leaves with part of the colony) or absconding (when the queen leaves with all the colony) and in defense against intruders such as wasps or hornets. In this paper we describe a fairly different clustering process which occurs at any temperature and independently of any special stimulus or circumstance. As a matter of fact, this process is about four times faster at 28 degree Celsius than at 15 degrees. Because of its simplicity and low level of ``noise'' we think that this phenomenon can provide a means for exploring the strength of inter-individual attraction between bees or other living organisms. For instance, and at first sight fairly surprisingly, our observations showed that this attraction does also exist between bees belonging to different colonies. As this study is aimed at providing a comparative perspective, we also describe a similar clustering experiment for red fire ants.

  5. Rotation and flattening of globular clusters

    Fall, S. M.; Frenk, C. S.

    1985-01-01

    Methods for measuring globular cluster ellipticities and the results of such measurements are reviewed, and the processes that determine the shapes of globular clusters and the ways in which they change with time are discussed. The use of the virial tensor theorem to study the connection between the global rotation, velocity anisotropy, and the shape of a self-gravitating system is addressed, and the employment of N-body models to simulate the evolution of globular clusters with initially anisotropic velocity distributions is examined. The application of a simple evaporation model and Fokker-Planck integrations to study the two-body diffusion in globular clusters is reviewed.

  6. Addressing concrete cracking in NPPs

    The phenomenon of concrete cracking is one of the most frequently encountered deterioration at NPPs as it has been shown by a wide Survey of NPPs performed by IAEA in 1994-95 It can be due to a multitude of causes such as the normal ageing process (shrinkage, creep, prestressing force loss) as well as exposure to the environment (temperature variation, moisture, freeze/thaw, etc) The above mentioned Survey has also shown that in 64% of cases, no action was taken or required. It became also obvious that there is a lack of guidance as when remedial actions are needed. The paper describes, with the help of a Flow Chart, the various stages to be considered, from the first step of identification of cracks, to the definition of causes, evaluation of extent of damage, evaluation of effect/implications (safety, reliability), to the final step of deciding if repair action is required. Finally, based upon a wide literature survey the paper proposes in a Chart format, Criteria for addressing concrete cracks in NPPs., when taking in considerations all these factors. This paper discusses the process which should lead to the selection of an effective repair method and proposes, based upon worldwide standards and literature, criteria which should lead to the decision whether to repair or not concrete cracks, after the cracks have been identified and evaluated, addressing the entire range of aspects involved. (author)

  7. Factor PD-Clustering

    Gettler Summa, Mireille; Palumbo, Francesco; Tortora, Cristina

    2012-01-01

    Factorial clustering methods have been developed in recent years thanks to the improving of computational power. These methods perform a linear transformation of data and a clustering on transformed data optimizing a common criterion. Factorial PD-clustering is based on Probabilistic Distance clustering (PD-clustering). PD-clustering is an iterative, distribution free, probabilistic, clustering method. Factor PD-clustering make a linear transformation of original variables into a reduced numb...

  8. Cancer Basics

    ... Cancer? Breast Cancer Colon/Rectum Cancer Lung Cancer Prostate Cancer Skin Cancer Show All Cancer Types News and Features Cancer Glossary ACS Bookstore Cancer Information Cancer Basics Cancer Prevention & Detection Signs & Symptoms of Cancer Treatments & Side Effects ...

  9. Addressing failures in exascale computing

    Snir, Marc; Wisniewski, Robert W.; Abraham, Jacob A.; Adve, Sarita; Bagchi, Saurabh; Balaji, Pavan; Belak, Jim; Bose, Pradip; Cappello, Franck; Carlson, William; Chien, Andrew A.; Coteus, Paul; Debardeleben, Nathan A.; Diniz, Pedro; Engelmann, Christian; Erez, Mattan; Saverio, Fazzari; Geist, Al; Gupta, Rinku; Johnson, Fred; Krishnamoorthy, Sriram; Leyffer, Sven; Liberty, Dean; Mitra, Subhasish; Munson, Todd; Schreiber, Robert; Stearly, Jon; Van Hensbergen, Eric

    2014-05-01

    We present here a report produced by a workshop on “Addressing Failures in Exascale Computing” held in Park City, Utah, August 4–11, 2012. The charter of this workshop was to establish a common taxonomy about resilience across all the levels in a computing system; discuss existing knowledge on resilience across the various hardware and software layers of an exascale system; and build on those results, examining potential solutions from both a hardware and software perspective and focusing on a combined approach. The workshop brought together participants with expertise in applications, system software, and hardware; they came from industry, government, and academia; and their interests ranged from theory to implementation. The combination allowed broad and comprehensive discussions and led to this document, which summarizes and builds on those discussions.

  10. Addressing Failures in Exascale Computing

    Snir, Marc [Argonne National Laboratory (ANL); Wisniewski, Robert [Intel Corporation; Abraham, Jacob [unknown; Adve, Sarita [University of Illinois, Urbana-Champaign; Bagchi, Saurabh [Purdue University; Balaji, Pavan [Argonne National Laboratory (ANL); Belak, J. [Lawrence Livermore National Laboratory (LLNL); Bose, Pradip [IBM T. J. Watson Research Center; Cappello, Franck [Argonne National Laboratory (ANL); Carlson, Bill [unknown; Chien, Andrew [University of Chicago; Coteus, Paul [IBM T. J. Watson Research Center; DeBardeleben, Nathan [Los Alamos National Laboratory (LANL); Diniz, Pedro [University of Southern California; Engelmann, Christian [ORNL; Erez, Mattan [University of Texas at Austin; Fazzari, Saverio [Booz Allen Hamilton; Geist, Al [ORNL; Gupta, Rinku [Argonne National Laboratory (ANL); Johnson, Fred [Science Applications International Corporation (SAIC), Oak Ridge, TN; Krishnamoorthy, Sriram [Pacific Northwest National Laboratory (PNNL); Leyffer, Sven [Argonne National Laboratory (ANL); Liberty, Dean [AMD; Mitra, Subhasish [Stanford University; Munson, Todd [Argonne National Laboratory (ANL); Schreiber, Rob [HP Labs; Stearley, Jon [Sandia National Laboratories (SNL); Van Hensbergen, Eric [ARM

    2014-01-01

    We present here a report produced by a workshop on Addressing failures in exascale computing' held in Park City, Utah, 4-11 August 2012. The charter of this workshop was to establish a common taxonomy about resilience across all the levels in a computing system, discuss existing knowledge on resilience across the various hardware and software layers of an exascale system, and build on those results, examining potential solutions from both a hardware and software perspective and focusing on a combined approach. The workshop brought together participants with expertise in applications, system software, and hardware; they came from industry, government, and academia, and their interests ranged from theory to implementation. The combination allowed broad and comprehensive discussions and led to this document, which summarizes and builds on those discussions.

  11. Addressing viral resistance through vaccines

    Laughlin, Catherine; Schleif, Amanda; Heilman, Carole A

    2015-01-01

    Antimicrobial resistance is a serious healthcare concern affecting millions of people around the world. Antiviral resistance has been viewed as a lesser threat than antibiotic resistance, but it is important to consider approaches to address this growing issue. While vaccination is a logical strategy, and has been shown to be successful many times over, next generation viral vaccines with a specific goal of curbing antiviral resistance will need to clear several hurdles including vaccine design, evaluation and implementation. This article suggests that a new model of vaccination may need to be considered: rather than focusing on public health, this model would primarily target sectors of the population who are at high risk for complications from certain infections. PMID:26604979

  12. The impact of lung cancer on patients and carers.

    Ellis, Jackie

    2012-02-01

    This article aims to provide a brief review of the literature with regard to the impact of lung cancer on patients and their informal carers. Compared to other types of cancer, the distress associated with lung cancer has been found to be the most intense. Rather than focusing on symptoms in isolation recent emphasis regarding the symptom experience has been on symptoms clusters, as understanding these clusters may improve the management of ongoing and unrelieved symptoms. However, the disparities in methodology are significant barriers to producing comparable results, although recent efforts have been made to address these. Whilst research into symptoms has enormous potential for the management of symptom clusters, it needs to move away from the essentially reductionist stance which currently dominates and broaden its scope to one that acknowledges the complexity of the experience of symptom clusters from the perspective of the patient and their informal carer. Poor management of symptoms complicates patient care and potentially contributes to the heavy burden which often falls on family caregivers, especially as the disease progresses. The majority of studies focus on the experiences of primary care providers, most often the partner/spouse. Such studies have shown that spouses of patients with lung cancer exhibit significant distress and lower levels of quality of life than the general population. Research also indicates that significant others go through a transition process due to changes brought about by the diagnosis of lung cancer and struggle to endure and overcome difficulties and distress. Significant others were seen to suffer during this process of transition and experienced altered relationships. Clinicians working with patients suffering from lung cancer and their carers should intervene to enhance their quality of life from diagnosis, during the disease trajectory and during bereavement. Interventions need to be developed to support both patients and

  13. Building Footprints - Montana Structures/Addresses Framework

    NSGIC GIS Inventory (aka Ramona) — The Montana Structures/Addresses Framework is a statewide spatial database of structure and address points in the State of Montana. The Montana Structures/Addresses...

  14. Cluster automorphisms and compatibility of cluster variables

    Assem, Ibrahim; Schiffler, Ralf; Shramchenko, Vasilisa

    2013-01-01

    In this paper, we introduce a notion of unistructural cluster algebras, for which the set of cluster variables uniquely determines the clusters. We prove that cluster algebras of Dynkin type and cluster algebras of rank 2 are unistructural, then prove that if $\\mathcal{A}$ is unistructural or of Euclidean type, then $f: \\mathcal{A}\\to \\mathcal{A}$ is a cluster automorphism if and only if $f$ is an automorphism of the ambient field which restricts to a permutation of the cluster variables. In ...

  15. The Birth of Massive Stars and Star Clusters

    Tan, Jonathan C.

    2005-01-01

    In the present-day universe, it appears that most, and perhaps all, massive stars are born in star clusters. It also appears that all star clusters contain stars drawn from an approximately universal initial mass function, so that almost all rich young star clusters contain massive stars. In this review I discuss the physical processes associated with both massive star formation and with star cluster formation. First I summarize the observed properties of star-forming gas clumps, then address...

  16. Restrictive Clustering and Metaclustering for self-organizing Document Collections

    Siersdorfer, Stefan; Sizov, Sergej; Järvelin, Kalervo; Allan, James; Bruza, Peter; Sanderson, Mark

    2004-01-01

    This paper addresses the problem of automatically structuring heterogenous document collections by using clustering methods. In contrast to traditional clustering, we study restrictive methods and ensemble-based meta methods that may decide to leave out some documents rather than assigning them to inappropriate clusters with low confidence. These techniques result in higher cluster purity, better overall accuracy, and make unsupervised self-organization more robust. Ou...

  17. Reactive cluster model of metallic glasses

    Jones, Travis E. [Molecular Theory Group, Colorado School of Mines, Golden, Colorado 80401 (United States); School of Physics, The University of Sydney, Sydney, New South Wales 2006 (Australia); Miorelli, Jonathan; Eberhart, Mark E. [Molecular Theory Group, Colorado School of Mines, Golden, Colorado 80401 (United States)

    2014-02-28

    Though discovered more than a half century ago metallic glasses remain a scientific enigma. Unlike crystalline metals, characterized by short, medium, and long-range order, in metallic glasses short and medium-range order persist, though long-range order is absent. This fact has prompted research to develop structural descriptions of metallic glasses. Among these are cluster-based models that attribute amorphous structure to the existence of clusters that are incommensurate with crystalline periodicity. Not addressed, however, are the chemical factors stabilizing these clusters and promoting their interconnections. We have found that glass formers are characterized by a rich cluster chemistry that above the glass transformation temperature promotes exchange as well as static and vibronic sharing of atoms between clusters. The vibronic mechanism induces correlated motions between neighboring clusters and we hypothesize that the distance over which these motions are correlated mediates metallic glass stability and influences critical cooling rates.

  18. Globular Cluster Formation in the Virgo Cluster

    Moran, C Corbett; Lake, G

    2014-01-01

    Metal poor globular clusters (MPGCs) are a unique probe of the early universe, in particular the reionization era. Systems of globular clusters in galaxy clusters are particularly interesting as it is in the progenitors of galaxy clusters that the earliest reionizing sources first formed. Although the exact physical origin of globular clusters is still debated, it is generally admitted that globular clusters form in early, rare dark matter peaks (Moore et al. 2006; Boley et al. 2009). We provide a fully numerical analysis of the Virgo cluster globular cluster system by identifying the present day globular cluster system with exactly such early, rare dark matter peaks. A popular hypothesis is that that the observed truncation of blue metal poor globular cluster formation is due to reionization (Spitler et al. 2012; Boley et al. 2009; Brodie & Strader 2006); adopting this view, constraining the formation epoch of MPGCs provides a complementary constraint on the epoch of reionization. By analyzing both the l...

  19. Spatial analysis of lung, colorectal, and breast cancer on Cape Cod: An application of generalized additive models to case-control data

    Aschengrau Ann

    2005-06-01

    Full Text Available Abstract Background The availability of geographic information from cancer and birth defect registries has increased public demands for investigation of perceived disease clusters. Many neighborhood-level cluster investigations are methodologically problematic, while maps made from registry data often ignore latency and many known risk factors. Population-based case-control and cohort studies provide a stronger foundation for spatial epidemiology because potential confounders and disease latency can be addressed. Methods We investigated the association between residence and colorectal, lung, and breast cancer on upper Cape Cod, Massachusetts (USA using extensive data on covariates and residential history from two case-control studies for 1983–1993. We generated maps using generalized additive models, smoothing on longitude and latitude while adjusting for covariates. The resulting continuous surface estimates disease rates relative to the whole study area. We used permutation tests to examine the overall importance of location in the model and identify areas of increased and decreased risk. Results Maps of colorectal cancer were relatively flat. Assuming 15 years of latency, lung cancer was significantly elevated just northeast of the Massachusetts Military Reservation, although the result did not hold when we restricted to residences of longest duration. Earlier non-spatial epidemiology had found a weak association between lung cancer and proximity to gun and mortar positions on the reservation. Breast cancer hot spots tended to increase in magnitude as we increased latency and adjusted for covariates, indicating that confounders were partly hiding these areas. Significant breast cancer hot spots were located near known groundwater plumes and the Massachusetts Military Reservation. Discussion Spatial epidemiology of population-based case-control studies addresses many methodological criticisms of cluster studies and generates new exposure

  20. Gender: addressing a critical focus.

    Thornton, L; Wegner, M N

    1995-01-01

    The definition of gender was addressed at the Fourth World Conference on Women (Beijing, China). After extensive debate, the definition developed by the UN Population Fund in 1995 was adopted: "a set of qualities and behaviors expected from a female or male by society." The sustainability of family planning (FP) programs depends on acknowledgment of the role gender plays in contraceptive decision-making and use. For example, programs must consider the fact that women in many cultures do not make FP decisions without the consent of their spouse. AVSC is examining providers' gender-based ideas about clients and the effects of these views on the quality of reproductive health services. Questions such as how service providers can encourage joint responsibility for contraception without requiring spousal consent or how they can make men feel comfortable about using a male method in a society where FP is considered a woman's issue are being discussed. Also relevant is how service providers can discuss sexual matters openly with female clients in cultures that do not allow women to enjoy their sexuality. Another concern is the potential for physical violence to a client as a result of the provision of FP services. PMID:12294397

  1. Extending the cluster scaling technique to ruthenium clusters with hcp structures

    Soini, Thomas M.; Ma, Xiufang; Üzengi Aktürk, Olcay; Suthirakun, Suwit; Genest, Alexander; Rösch, Notker

    2016-01-01

    Using density functional techniques at the level of the generalized gradient approximation, we addressed structural, energetic, and electronic properties of ruthenium clusters with hexagonal close-packed structural motifs and sizes between ~ 1 and ~ 2 nm. We discuss the construction principles of model clusters with hcp structures and examine the evolution of various properties with respect to cluster size. We compare the scaling behavior with that of ruthenium clusters of similar sizes, but with face-centered cubic structures. Thus, we extended the scaling technique, well established for clusters of transition metals with face-centered cubic structures, to hexagonal closed-packed ones. For the model clusters explored, the examined properties scale well with cluster size. For example, a clear energy preference develops for hexagonal over cubic structures of ruthenium particles. Furthermore, we studied the differences in the scaling behavior as described by an all-electron treatment with localized basis functions and a projector augmented wave plane-wave method.

  2. Adaptive Evolutionary Clustering

    Xu, Kevin S.; Kliger, Mark; Hero III, Alfred O.

    2011-01-01

    In many practical applications of clustering, the objects to be clustered evolve over time, and a clustering result is desired at each time step. In such applications, evolutionary clustering typically outperforms traditional static clustering by producing clustering results that reflect long-term trends while being robust to short-term variations. Several evolutionary clustering algorithms have recently been proposed, often by adding a temporal smoothness penalty to the cost function of a st...

  3. Relational visual cluster validity

    Ding, Y.; Harrison, R F

    2007-01-01

    The assessment of cluster validity plays a very important role in cluster analysis. Most commonly used cluster validity methods are based on statistical hypothesis testing or finding the best clustering scheme by computing a number of different cluster validity indices. A number of visual methods of cluster validity have been produced to display directly the validity of clusters by mapping data into two- or three-dimensional space. However, these methods may lose too much information to corre...

  4. Spherical k-Means Clustering

    Kurt Hornik

    2012-09-01

    Full Text Available Clustering text documents is a fundamental task in modern data analysis, requiring approaches which perform well both in terms of solution quality and computational efficiency. Spherical k-means clustering is one approach to address both issues, employing cosine dissimilarities to perform prototype-based partitioning of term weight representations of the documents.This paper presents the theory underlying the standard spherical k-means problem and suitable extensions, and introduces the R extension package skmeans which provides a computational environment for spherical k-means clustering featuring several solvers: a fixed-point and genetic algorithm, and interfaces to two external solvers (CLUTO and Gmeans. Performance of these solvers is investigated by means of a large scale benchmark experiment.

  5. SU-E-J-03: A Comprehensive Comparison Between Alpha and Beta Emitters for Cancer Radioimmunotherapy

    Huang, C.Y. [University of Sydney, Camperdown, NSW (Australia); Guatelli, S [University of Wollongong, Wollongong, NSW (Australia); Oborn, B [Illawarra Cancer Care Centre, Wollongong, NSW (Australia); Allen, B [University of Western Sydney, Liverpool, NSW (Australia)

    2014-06-01

    Purpose: The purpose of this study is to perform a comprehensive comparison of the therapeutic efficacy and cytotoxicity of alpha and beta emitters for Radioimmunotherapy (RIT). For each stage of cancer development, specific models were built for the separate objectives of RIT to be addressed:a) kill isolated cancer cells in transit in the lymphatic and vascular circulation,b) regress avascular cell clusters,c) regress tumor vasculature and tumors. Methods: Because of the nature of short range, high LET alpha and long energy beta radiation and heterogeneous antigen expression among cancer cells, the microdosimetric approach is essential for the RIT assessment. Geant4 based microdosimetric models are developed for the three different stages of cancer progression: cancer cells, cell clusters and tumors. The energy deposition, specific energy resulted from different source distribution in the three models was calculated separately for 4 alpha emitting radioisotopes ({sup 211}At, {sup 213}Bi, {sup 223}Ra and {sup 225}Ac) and 6 beta emitters ({sup 32}P, {sup 33}P, {sup 67}Cu, {sup 90}Y, {sup 131}I and {sup 177}Lu). The cell survival, therapeutic efficacy and cytotoxicity are determined and compared between alpha and beta emitters. Results: We show that internal targeted alpha radiation has advantages over beta radiation for killing isolated cancer cells, regressing small cell clusters and also solid tumors. Alpha particles have much higher dose specificity and potency than beta particles. They can deposit 3 logs more dose than beta emitters to single cells and solid tumor. Tumor control probability relies on deep penetration of radioisotopes to cancer cell clusters and solid tumors. Conclusion: The results of this study provide a quantitative understanding of the efficacy and cytotoxicity of RIT for each stage of cancer development.

  6. SU-E-J-03: A Comprehensive Comparison Between Alpha and Beta Emitters for Cancer Radioimmunotherapy

    Purpose: The purpose of this study is to perform a comprehensive comparison of the therapeutic efficacy and cytotoxicity of alpha and beta emitters for Radioimmunotherapy (RIT). For each stage of cancer development, specific models were built for the separate objectives of RIT to be addressed:a) kill isolated cancer cells in transit in the lymphatic and vascular circulation,b) regress avascular cell clusters,c) regress tumor vasculature and tumors. Methods: Because of the nature of short range, high LET alpha and long energy beta radiation and heterogeneous antigen expression among cancer cells, the microdosimetric approach is essential for the RIT assessment. Geant4 based microdosimetric models are developed for the three different stages of cancer progression: cancer cells, cell clusters and tumors. The energy deposition, specific energy resulted from different source distribution in the three models was calculated separately for 4 alpha emitting radioisotopes (211At, 213Bi, 223Ra and 225Ac) and 6 beta emitters (32P, 33P, 67Cu, 90Y, 131I and 177Lu). The cell survival, therapeutic efficacy and cytotoxicity are determined and compared between alpha and beta emitters. Results: We show that internal targeted alpha radiation has advantages over beta radiation for killing isolated cancer cells, regressing small cell clusters and also solid tumors. Alpha particles have much higher dose specificity and potency than beta particles. They can deposit 3 logs more dose than beta emitters to single cells and solid tumor. Tumor control probability relies on deep penetration of radioisotopes to cancer cell clusters and solid tumors. Conclusion: The results of this study provide a quantitative understanding of the efficacy and cytotoxicity of RIT for each stage of cancer development

  7. Addressing verification challenges [International safeguards symposium on addressing verification challenges

    In his welcome address the Director General of the International Atomic Energy Agency (IAEA), Mr. M. ElBaradei, stated that safeguards activities are probably the most difficult task entrusted to an international organization and to determine all the details of a country's nuclear programme is a daunting challenge that raises a number of questions. There is an increase in nuclear power around the globe as a result of shortages of energy and concerns about energy independence and climate change. On the one hand, this is good, because without energy there is no hope for development on the other hand, however, it means that nuclear know-how and nuclear technology will continue to spread to more and more countries. There is also an increase in the number of countries interested in developing nuclear fuel cycle capabilities: sensitive fuel cycle activities, reprocessing and above all uranium enrichment. It even seems that some countries might be hedging their bets in order to have the know-how should they need to develop their own deterrence. Verifying enrichment or reprocessing facilities is quite difficult, and the so-called conversion time is extremely short. Thus, the IAEA is dealing with what is called 'virtual nuclear weapon States'. The IAEA has been talking for a number of years about the need to develop a new international or multinational approach to the fuel cycle in order to avoid a situation with nine nuclear weapon States and another 20 or 30 States having the capacity to develop nuclear weapons in a very short period of time. There is a need to remember that there is a linkage between nuclear disarmament and non-proliferation. Furthermore safeguards activities, though fundamentally technical in nature, are carried out in a political charged environment. The security dimension - that is, nuclear terrorism - also presents a new challenge, because State systems of accounting for and control of nuclear material are no longer simply tools for safeguards, but

  8. Reaction spreading on percolating clusters

    Bianco, Federico; Chibbaro, Sergio; Vergni, Davide; Vulpiani, Angelo

    2013-01-01

    Reaction-diffusion processes in two-dimensional percolating structures are investigated. Two different problems are addressed: reaction spreading on a percolating cluster and front propagation through a percolating channel. For reaction spreading, numerical data and analytical estimates show a power-law behavior of the reaction product as M(t) \\sim t^dl, where dl is the connectivity dimension. In a percolating channel, a statistically stationary traveling wave develops. The speed and the widt...

  9. An address geocoding solution for Chinese cities

    Zhang, Xuehu; Ma, Haoming; Li, Qi

    2006-10-01

    We introduce the challenges of address geocoding for Chinese cities and present a potential solution along with a prototype system that deal with these challenges by combining and extending current geocoding solutions developed for United States and Japan. The proposed solution starts by separating city addresses into "standard" addresses which meet a predefined address model and non-standard ones. The standard addresses are stored in a structured relational database in their normalized forms, while a selected portion of the non-standard addresses are stored as aliases to the standard addresses. An in-memory address index is then constructed from the address database and serves as the basis for real-time address matching. Test results were obtained from two trials conducted in the city Beijing. On average 80% matching rate were achieved. Possible improvements to the current design are also discussed.

  10. Scientific Cluster Deployment and Recovery – Using puppet to simplify cluster management

    Deployment, maintenance and recovery of a scientific cluster, which has complex, specialized services, can be a time consuming task requiring the assistance of Linux system administrators, network engineers as well as domain experts. Universities and small institutions that have a part-time FTE with limited time for and knowledge of the administration of such clusters can be strained by such maintenance tasks. This current work is the result of an effort to maintain a data analysis cluster (DAC) with minimal effort by a local system administrator. The realized benefit is the scientist, who is the local system administrator, is able to focus on the data analysis instead of the intricacies of managing a cluster. Our work provides a cluster deployment and recovery process (CDRP) based on the puppet configuration engine allowing a part-time FTE to easily deploy and recover entire clusters with minimal effort. Puppet is a configuration management system (CMS) used widely in computing centers for the automatic management of resources. Domain experts use Puppet's declarative language to define reusable modules for service configuration and deployment. Our CDRP has three actors: domain experts, a cluster designer and a cluster manager. The domain experts first write the puppet modules for the cluster services. A cluster designer would then define a cluster. This includes the creation of cluster roles, mapping the services to those roles and determining the relationships between the services. Finally, a cluster manager would acquire the resources (machines, networking), enter the cluster input parameters (hostnames, IP addresses) and automatically generate deployment scripts used by puppet to configure it to act as a designated role. In the event of a machine failure, the originally generated deployment scripts along with puppet can be used to easily reconfigure a new machine. The cluster definition produced in our CDRP is an integral part of automating cluster deployment

  11. CLAG: an unsupervised non hierarchical clustering algorithm handling biological data

    Dib Linda

    2012-08-01

    Full Text Available Abstract Background Searching for similarities in a set of biological data is intrinsically difficult due to possible data points that should not be clustered, or that should group within several clusters. Under these hypotheses, hierarchical agglomerative clustering is not appropriate. Moreover, if the dataset is not known enough, like often is the case, supervised classification is not appropriate either. Results CLAG (for CLusters AGgregation is an unsupervised non hierarchical clustering algorithm designed to cluster a large variety of biological data and to provide a clustered matrix and numerical values indicating cluster strength. CLAG clusterizes correlation matrices for residues in protein families, gene-expression and miRNA data related to various cancer types, sets of species described by multidimensional vectors of characters, binary matrices. It does not ask to all data points to cluster and it converges yielding the same result at each run. Its simplicity and speed allows it to run on reasonably large datasets. Conclusions CLAG can be used to investigate the cluster structure present in biological datasets and to identify its underlying graph. It showed to be more informative and accurate than several known clustering methods, as hierarchical agglomerative clustering, k-means, fuzzy c-means, model-based clustering, affinity propagation clustering, and not to suffer of the convergence problem proper to this latter.

  12. A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients.

    Santos, Miriam Seoane; Abreu, Pedro Henriques; García-Laencina, Pedro J; Simão, Adélia; Carvalho, Armando

    2015-12-01

    Liver cancer is the sixth most frequently diagnosed cancer and, particularly, Hepatocellular Carcinoma (HCC) represents more than 90% of primary liver cancers. Clinicians assess each patient's treatment on the basis of evidence-based medicine, which may not always apply to a specific patient, given the biological variability among individuals. Over the years, and for the particular case of Hepatocellular Carcinoma, some research studies have been developing strategies for assisting clinicians in decision making, using computational methods (e.g. machine learning techniques) to extract knowledge from the clinical data. However, these studies have some limitations that have not yet been addressed: some do not focus entirely on Hepatocellular Carcinoma patients, others have strict application boundaries, and none considers the heterogeneity between patients nor the presence of missing data, a common drawback in healthcare contexts. In this work, a real complex Hepatocellular Carcinoma database composed of heterogeneous clinical features is studied. We propose a new cluster-based oversampling approach robust to small and imbalanced datasets, which accounts for the heterogeneity of patients with Hepatocellular Carcinoma. The preprocessing procedures of this work are based on data imputation considering appropriate distance metrics for both heterogeneous and missing data (HEOM) and clustering studies to assess the underlying patient groups in the studied dataset (K-means). The final approach is applied in order to diminish the impact of underlying patient profiles with reduced sizes on survival prediction. It is based on K-means clustering and the SMOTE algorithm to build a representative dataset and use it as training example for different machine learning procedures (logistic regression and neural networks). The results are evaluated in terms of survival prediction and compared across baseline approaches that do not consider clustering and/or oversampling using the

  13. Using Concept Mapping to Explore Barriers and Facilitators to Breast Cancer Screening in Formerly Homeless Women with Serious Mental Illness.

    Weinstein, Lara Carson; LaNoue, Marianna; Hurley, Katelyn; Sifri, Randa; Myers, Ronald

    2015-08-01

    Women with serious mental illness (SMI) have disproportionately worse breast cancer profiles than those of other women. The purpose of this project was to examine barriers to and facilitators of breast cancer screening, specifically in formerly homeless women with SMI using the participatory methodology of concept mapping. A series of three concept mapping focus groups were held with 27 women over the age of 40 with a diagnosis of a SMI who live in supportive housing programs, and with 16 housing program staff. Data from the focus groups were combined through multidimensional scaling to create a visual cluster map. Barriers and facilitators to mammography screening generated by the participants clustered into eight categories. Participants rated addressing educational issues as most important and feasible. Interventions designed to improve mammogram screening in this population should address patients' perception of personal risk and should target education and support systems as modifiable factors. PMID:26320922

  14. Large scale cluster computing workshop

    Dane Skow; Alan Silverman

    2002-12-23

    Recent revolutions in computer hardware and software technologies have paved the way for the large-scale deployment of clusters of commodity computers to address problems heretofore the domain of tightly coupled SMP processors. Near term projects within High Energy Physics and other computing communities will deploy clusters of scale 1000s of processors and be used by 100s to 1000s of independent users. This will expand the reach in both dimensions by an order of magnitude from the current successful production facilities. The goals of this workshop were: (1) to determine what tools exist which can scale up to the cluster sizes foreseen for the next generation of HENP experiments (several thousand nodes) and by implication to identify areas where some investment of money or effort is likely to be needed. (2) To compare and record experimences gained with such tools. (3) To produce a practical guide to all stages of planning, installing, building and operating a large computing cluster in HENP. (4) To identify and connect groups with similar interest within HENP and the larger clustering community.

  15. Automatic Clustering Using Teaching Learning Based Optimization

    M. Ramakrishna Murty; Anima Naik; J.V.R.Murthy; Prasad Reddy, P. V. G. D.; Suresh C. Satapathy; K. Parvathi

    2014-01-01

    Finding the optimal number of clusters has remained to be a challenging problem in data mining research community. Several approaches have been suggested which include evolutionary computation techniques like genetic algorithm, particle swarm optimization, differential evolution etc. for addressing this issue. Many variants of the hybridization of these approaches also have been tried by researchers. However, the number of optimal clusters and the computational effic...

  16. how MNCs enter regional knowledge clusters

    Lorenzen, Mark; Mahnke, Volker

    2003-01-01

    The paper addresses two recent interrelated phenomena: High- tech regional knowledge clusters, and globalization of R&D activities by multinational corporations (MNCs). Combining MNC literature; regional development literature; and literature on social networks, the paper discusses determinants of entry modes used by MNCs that localize R&D units in regional knowledge clusters. The paper states that the entry mode used by a MNC depends upon the type of agglomeration economies the latter seeks ...

  17. Accelerating semantic graph databases on commodity clusters

    Morari, Alessandro; Castellana, Vito G.; Haglin, David J.; Feo, John T.; Weaver, Jesse R.; Tumeo, Antonino; Villa, Oreste

    2013-10-06

    We are developing a full software system for accelerating semantic graph databases on commodity cluster that scales to hundreds of nodes while maintaining constant query throughput. Our framework comprises a SPARQL to C++ compiler, a library of parallel graph methods and a custom multithreaded runtime layer, which provides a Partitioned Global Address Space (PGAS) programming model with fork/join parallelism and automatic load balancing over a commodity clusters. We present preliminary results for the compiler and for the runtime.

  18. t he Cluster Approach in northern Uganda

    Jessica Huber; Birkeland, Nina M.

    2007-01-01

    The Norwegian Refugee Council (NRC) strongly believes that the Cluster Approach holds promise for improving the international response to internal displacement. The approach represents a serious attempt by the UN, NGOs, international organisations and governments to address critical gaps in the humanitarian system. We want this reform effort to succeed and to play an active role in northern Uganda to supportthe work of the clusters and improve their effectiveness.

  19. t he Cluster Approach in northern Uganda

    Jessica Huber

    2007-12-01

    Full Text Available The Norwegian Refugee Council (NRC strongly believes that the Cluster Approach holds promise for improving the international response to internal displacement. The approach represents a serious attempt by the UN, NGOs, international organisations and governments to address critical gaps in the humanitarian system. We want this reform effort to succeed and to play an active role in northern Uganda to supportthe work of the clusters and improve their effectiveness.

  20. Virial masses of galaxy clusters in the post-Newtonian limit

    Roshan, Mahmood

    2012-01-01

    We estimate virial masses of galaxy clusters using the parametrized post-Newtonian (PPN) virial theorem. Also, we show explicitly that post-Newtonian corrections can not address the mass discrepancy in the galaxy clusters.

  1. Partitional clustering algorithms

    2015-01-01

    This book summarizes the state-of-the-art in partitional clustering. Clustering, the unsupervised classification of patterns into groups, is one of the most important tasks in exploratory data analysis. Primary goals of clustering include gaining insight into, classifying, and compressing data. Clustering has a long and rich history that spans a variety of scientific disciplines including anthropology, biology, medicine, psychology, statistics, mathematics, engineering, and computer science. As a result, numerous clustering algorithms have been proposed since the early 1950s. Among these algorithms, partitional (nonhierarchical) ones have found many applications, especially in engineering and computer science. This book provides coverage of consensus clustering, constrained clustering, large scale and/or high dimensional clustering, cluster validity, cluster visualization, and applications of clustering. Examines clustering as it applies to large and/or high-dimensional data sets commonly encountered in reali...

  2. Validating the use of Hospital Episode Statistics data and comparison of costing methodologies for economic evaluation: an end-of-life case study from the Cluster randomised triAl of PSA testing for Prostate cancer (CAP)

    Thorn, Joanna C; Turner, Emma L; Hounsome, Luke; Walsh, Eleanor; Down, Liz; Verne, Julia; Donovan, Jenny L; Neal, David E; Hamdy, Freddie C; Martin, Richard M; Noble, Sian M

    2016-01-01

    Objectives To evaluate the accuracy of routine data for costing inpatient resource use in a large clinical trial and to investigate costing methodologies. Design Final-year inpatient cost profiles were derived using (1) data extracted from medical records mapped to the National Health Service (NHS) reference costs via service codes and (2) Hospital Episode Statistics (HES) data using NHS reference costs. Trust finance departments were consulted to obtain costs for comparison purposes. Setting 7 UK secondary care centres. Population A subsample of 292 men identified as having died at least a year after being diagnosed with prostate cancer in Cluster randomised triAl of PSA testing for Prostate cancer (CAP), a long-running trial to evaluate the effectiveness and cost-effectiveness of prostate-specific antigen (PSA) testing. Results Both inpatient cost profiles showed a rise in costs in the months leading up to death, and were broadly similar. The difference in mean inpatient costs was £899, with HES data yielding ∼8% lower costs than medical record data (differences compatible with chance, p=0.3). Events were missing from both data sets. 11 men (3.8%) had events identified in HES that were all missing from medical record review, while 7 men (2.4%) had events identified in medical record review that were all missing from HES. The response from finance departments to requests for cost data was poor: only 3 of 7 departments returned adequate data sets within 6 months. Conclusions Using HES routine data coupled with NHS reference costs resulted in mean annual inpatient costs that were very similar to those derived via medical record review; therefore, routinely available data can be used as the primary method of costing resource use in large clinical trials. Neither HES nor medical record review represent gold standards of data collection. Requesting cost data from finance departments is impractical for large clinical trials. Trial registration number ISRCTN92187251

  3. E6 Addressing Scheme and Network Architecture

    Dmitry Anatolyevich Zaitsev; Sergey Ivanovich Bolshakov

    2012-01-01

    The paper describes new E6 addressing scheme for the creation of world-wide networks totally constructed on the base of Ethernet technology. Hierarchic E6 addresses with the length of 6 octets are used instead of both Ethernet MAC-addresses and IP-addresses that allows the routing within world-wide networks and cuts overhead of TCP, IP headers; the address space is extended in 16K times regarding IP addresses. Standard Ethernet LLC2 facilities are employed for guaranteed delivery of informati...

  4. Cluster Evaluation of Density Based Subspace Clustering

    Sembiring, Rahmat Widia; Zain, Jasni Mohamad

    2010-01-01

    Clustering real world data often faced with curse of dimensionality, where real world data often consist of many dimensions. Multidimensional data clustering evaluation can be done through a density-based approach. Density approaches based on the paradigm introduced by DBSCAN clustering. In this approach, density of each object neighbours with MinPoints will be calculated. Cluster change will occur in accordance with changes in density of each object neighbours. The neighbours of each object ...

  5. Clustering with Spectral Methods

    Gaertler, Marco

    2002-01-01

    Grouping and sorting are problems with a great tradition in the history of mankind. Clustering and cluster analysis is a small aspect in the wide spectrum. But these topics have applications in most scientific disciplines. Graph clustering is again a little fragment in the clustering area. Nevertheless it has the potential for new pioneering and innovative methods. One such method is the Markov Clustering presented by van Dongen in 'Graph Clustering by Flow Simulation'. We investigated the qu...

  6. PATIENT-SPECIFIC DATA FUSION FOR CANCER STRATIFICATION AND PERSONALISED TREATMENT.

    Gligorijević, Vladimir; Malod-Dognin, Noël; Pržulj, Nataša

    2016-01-01

    According to Cancer Research UK, cancer is a leading cause of death accounting for more than one in four of all deaths in 2011. The recent advances in experimental technologies in cancer research have resulted in the accumulation of large amounts of patient-specific datasets, which provide complementary information on the same cancer type. We introduce a versatile data fusion (integration) framework that can effectively integrate somatic mutation data, molecular interactions and drug chemical data to address three key challenges in cancer research: stratification of patients into groups having different clinical outcomes, prediction of driver genes whose mutations trigger the onset and development of cancers, and repurposing of drugs treating particular cancer patient groups. Our new framework is based on graph-regularised non-negative matrix tri-factorization, a machine learning technique for co-clustering heterogeneous datasets. We apply our framework on ovarian cancer data to simultaneously cluster patients, genes and drugs by utilising all datasets.We demonstrate superior performance of our method over the state-of-the-art method, Network-based Stratification, in identifying three patient subgroups that have significant differences in survival outcomes and that are in good agreement with other clinical data. Also, we identify potential new driver genes that we obtain by analysing the gene clusters enriched in known drivers of ovarian cancer progression. We validated the top scoring genes identified as new drivers through database search and biomedical literature curation. Finally, we identify potential candidate drugs for repurposing that could be used in treatment of the identified patient subgroups by targeting their mutated gene products. We validated a large percentage of our drug-target predictions by using other databases and through literature curation. PMID:26776197

  7. Singular electrostatic energy of nanoparticle clusters

    Qin, Jian; Krapf, Nathan W.; Witten, Thomas A.

    2016-02-01

    The binding of clusters of metal nanoparticles is partly electrostatic. We address difficulties in calculating the electrostatic energy when high charging energies limit the total charge to a single quantum, entailing unequal potentials on the particles. We show that the energy at small separation h has a singular logarithmic dependence on h . We derive a general form for this energy in terms of the singular capacitance of two spheres in near contact c (h ) , together with nonsingular geometric features of the cluster. Using this form, we determine the energies of various clusters, finding that more compact clusters are more stable. These energies are proposed to be significant for metal-semiconductor binary nanoparticle lattices found experimentally. We sketch how these effects should dictate the relative abundances of metal nanoparticle clusters in nonpolar solvents.

  8. A Novel Approach for TNA Address Management

    2003-01-01

    We present a new scheme to allocate/de-allocate Transport Network Assigned (TN A) address using Link Management Protocol (LMP) and to register/resolution these addresses using Lightweight Directory Access Protocol (LDAP) for Automatically Switched Optical Network (ASON).

  9. SAVI: The IETF Standard in Address Validation

    Bagnulo, Marcelo; García-Martínez, Alberto

    2013-01-01

    In this article we describe Source Address Validation Implementation (SAVI), a security architecture being standardized by the IETF to prevent source address spoofing within a link. SAVI devices, usually layer 2 switches, create bindings between the IP address of a node and a property of the host¿s network attachment, such as the port through which the packet is received. Bindings are created by monitoring the packet exchange associated with IP address configuration mechanisms such as DHCP, S...

  10. Address allocation to mobile ad hoc networks

    Sakander, Zeeshan

    2006-01-01

    Addressing in MANETs is of significant importance, as a mobile device cannot participate in unicast communications until it is assigned a conflict-free IP address. All routing protocols assume nodes to be configured a priori with a unique IP address. Allocating addresses to mobile nodes is a fundamental and difficult problem. Unlike infrastructure based networks, MANETs support autonomous and spontaneous networking and therefore, should be capable of self-organization and self-configuration. ...

  11. Cluster categories and cluster-tilted algebras

    Torkildsen, Hermund Andre

    2006-01-01

    We have given an introduction to the theory of cluster categories and cluster-tilted algebras, and this was one of our main objectives in this thesis. We have seen that cluster-tilted algebras are relation-extension algebras, and this gave us a way of constructing the quiver of a cluster-tilted algebra from a tilted algebra. A cluster-tilted algebra of finite representation type is determined by its quiver, and this raised questions about the generality of this result. We defined a new class...

  12. 32 CFR 516.7 - Mailing addresses.

    2010-07-01

    ... 32 National Defense 3 2010-07-01 2010-07-01 true Mailing addresses. 516.7 Section 516.7 National Defense Department of Defense (Continued) DEPARTMENT OF THE ARMY AID OF CIVIL AUTHORITIES AND PUBLIC RELATIONS LITIGATION General § 516.7 Mailing addresses. Mailing addresses for organizations referenced...

  13. Cluster-based global firms' use of local capabilities

    Andersen, Poul Houman; Bøllingtoft, Anne

    2011-01-01

    three clusters strongly affected by increasing global division of labour. Findings – The paper suggests that globalization has affected how firms use local resources and combine local and global knowledge. Unexpectedly, clustered firms with explicit procedures and established global fora for exchanging...... developed countries. Originality/value – Several studies have examined the changing role of clusters in the evolving global division of labour. However, research is lacking that addresses the challenges of transformation from the level of the CBF and how these may be affected by cluster evolution. The paper...... takes a micro-oriented perspective and focus on clusters in Denmark, a small and mature economy...

  14. Spatial analysis of childhood cancer: a case/control study.

    Rebeca Ramis

    Full Text Available Childhood cancer was the leading cause of death among children aged 1-14 years for 2012 in Spain. Leukemia has the highest incidence, followed by tumors of the central nervous system (CNS and lymphomas (Hodgkin lymphoma, HL, and Non-Hodgkin's lymphoma, NHL. Spatial distribution of childhood cancer cases has been under concern with the aim of identifying potential risk factors.The two objectives are to study overall spatial clustering and cluster detection of cases of the three main childhood cancer causes, looking to increase etiological knowledge.We ran a case-control study. The cases were children aged 0 to 14 diagnosed with leukemia, lymphomas (HL and NHL or CNS neoplasm in five Spanish regions for the period 1996-2011. As a control group, we used a sample from the Birth Registry matching every case by year of birth, autonomous region of residence and sex with six controls. We geocoded and validated the address of the cases and controls. For our two objectives we used two different methodologies. For the first, for overall spatial clustering detection, we used the differences of K functions from the spatial point patterns perspective proposed by Diggle and Chetwynd and the second, for cluster detection, we used the spatial scan statistic proposed by Kulldorff with a level for statistical significance of 0.05.We had 1062 cases of leukemia, 714 cases of CNS, 92 of HL and 246 of NHL. Accordingly we had 6 times the number of controls, 6372 controls for leukemia, 4284 controls for CNS, 552 controls for HL and 1476 controls for NHL. We found variations in the estimated empirical D(s for the different regions and cancers, including some overall spatial clustering for specific regions and distances. We did not find statistically significant clusters.The variations in the estimated empirical D(s for the different regions and cancers could be partially explained by the differences in the spatial distribution of the population; however, according to the

  15. 肺癌患者常见症状群及与生存质量的相关性研究%Symptom cluster and its relationship with life quality of patients with lung cancer

    林双兰; 周建荣; 赵良辉; 向峰儀

    2013-01-01

    Objective:To explore the incidence and severity of fatigue,disturbed sleep,pain and distress and to examine whether the above four symptoms occur in symptom cluster during the trajectory of disease.Methods:This cross-sectional study design was assessed by M.D.Anderson symptom inventory and quality of life instruments for cancer patients-lung cancer.Three-hundred and eighty four individuals were involved in the survey.Results:There were significant inter-correlations among fatigue,disturbed sleep,pain and distress(r=0.474-0.716,P<0.01).About 9.1%(n=35) and 21.1%(n=81) patients reported co-occurrence of any two and any three symptoms of fatigue,disturbed sleep,pain and distress and 62.8% (n=241) patients reported co-occurrence of all four symptoms.Negative relationship was found between the top four symptoms and subscale/total scores of life quality.Conclusions:Fatigue,disturbed sleep,pain and distress are the most common and severe symptoms of patients with lung cancer,which exert negatively effects on life quality through symptom cluster.%目的:探讨肺癌患者乏力、失眠、疼痛和苦恼的发生率及严重程度,并检测以上4种症状是否以症状群的形式影响患者的病情结果.方法:采用横断面的研究方法,应用安德森症状评估量表及癌症病人生命质量测定量表体系中的肺癌量表对384名住院肺癌患者进行问卷调查.结果:失眠、乏力、疼痛和苦恼各症状间具有显著的内部相关性(r=0.474~0.716,P<0.0),其中9.1%(n=35)和21.1%(n=81)的患者表示在治疗过程中出现过上述症状中的2种或3种症状,62.8%(n=241)的肺癌患者同时遭受到4种症状的困扰;症状群与生存质量各维度得分及总分均呈负相关性.结论:失眠、乏力、疼痛和苦恼为肺癌患者疾病发展轨迹过程中出现频率最高、程度最重的4种症状,且常常以症状群的形式影响患者的生存质量.

  16. Improving IPV6 Addressing Types and Size

    Khaldoun Batiha

    2013-07-01

    Full Text Available IPv6 protocol is the next candidate protocol after IPv4 protocolthatused foralong time. For this protocoltheaddressing types and address sizeare discussedto list some modifications that could improve itsperformancethrough the internet. Atthe same time, we prove that multicast addressing type is the mostimportant addressing type since it can mimic any other addressing type. Finally,a short studyis developedin order to reduce the current IPv6 address size to haveless overhead in the basic header packet, thisreductionomitsabout 40% of the over all basic IPv6 basic packet overhead.

  17. Clustering of correlated networks

    Dorogovtsev, S. N.

    2003-01-01

    We obtain the clustering coefficient, the degree-dependent local clustering, and the mean clustering of networks with arbitrary correlations between the degrees of the nearest-neighbor vertices. The resulting formulas allow one to determine the nature of the clustering of a network.

  18. Structures of Mn clusters

    Tina M Briere; Marcel H F Sluiter; Vijay Kumar; Yoshiyuki Kawazoe

    2003-01-01

    The geometries of several Mn clusters in the size range Mn13–Mn23 are studied via the generalized gradient approximation to density functional theory. For the 13- and 19-atom clusters, the icosahedral structures are found to be most stable, while for the 15-atom cluster, the bcc structure is more favoured. The clusters show ferrimagnetic spin configurations.

  19. Foodservice Occupations Cluster Guide.

    Oregon State Dept. of Education, Salem.

    Intended to assist vocational teachers in developing and implementing a cluster program in food service occupations, this guide contains sections on cluster organization and implementation and instructional emphasis areas. The cluster organization and implementation section covers goal-based planning and includes a proposed cluster curriculum, a…

  20. Relevant Subspace Clustering

    Müller, Emmanuel; Assent, Ira; Günnemann, Stephan; Krieger, Ralph; Seidl, Thomas

    Subspace clustering aims at detecting clusters in any subspace projection of a high dimensional space. As the number of possible subspace projections is exponential in the number of dimensions, the result is often tremendously large. Recent approaches fail to reduce results to relevant subspace...... clusters. Their results are typically highly redundant, i.e. many clusters are detected multiple times in several projections. In this work, we propose a novel model for relevant subspace clustering (RESCU). We present a global optimization which detects the most interesting non-redundant subspace clusters...... achieves top clustering quality while competing approaches show greatly varying performance....

  1. Tilting theory and cluster algebras

    Reiten, Idun

    2010-01-01

    We give an introduction to the theory of cluster categories and cluster tilted algebras. We include some background on the theory of cluster algebras, and discuss the interplay with cluster categories and cluster tilted algebras.

  2. A neighborhood-based approach for clustering of linked document collections

    Angelova, R.; Siersdorfer, S.

    2006-01-01

    This technical report addresses the problem of automatically structuring linked document collections by using clustering. In contrast to traditional clustering, we study the clustering problem in the light of available link structure information for the data set (e.g., hyperlinks among web documents or co-authorship among bibliographic data entries). Our approach is based on iterative relaxation of cluster assignments, and can be built on top of any clustering algorithm (e.g., k-means or DBSC...

  3. Adaptation and change in creative clusters: Findings from Vienna's New Media sector

    Tanja Sinozic; Franz Tödtling

    2014-01-01

    This paper explores cluster change using the case example of New Media in Vienna. It addresses the question of how cluster elements (such as firms and institutions) interact to shape and transform the thematic and spatial boundaries of clusters as they shift along their developmental stages. Clusters go through different phases underpinned by technical change, renewing and destroying previous cluster specialisations. Creativity is a key feature in modern economies underlying...

  4. Parallel Local Graph Clustering

    Shun, Julian; Roosta-Khorasani, Farbod; Fountoulakis, Kimon; Mahoney, Michael W.

    2016-01-01

    Graph clustering has many important applications in computing, but due to growing sizes of graph, even traditionally fast clustering methods such as spectral partitioning can be computationally expensive for real-world graphs of interest. Motivated partly by this, so-called local algorithms for graph clustering have received significant interest due to the fact that they can find good clusters in a graph with work proportional to the size of the cluster rather than that of the entire graph. T...

  5. Clustering and classification

    Arabie, Phipps

    1996-01-01

    At a moderately advanced level, this book seeks to cover the areas of clustering and related methods of data analysis where major advances are being made. Topics include: hierarchical clustering, variable selection and weighting, additive trees and other network models, relevance of neural network models to clustering, the role of computational complexity in cluster analysis, latent class approaches to cluster analysis, theory and method with applications of a hierarchical classes model in psychology and psychopathology, combinatorial data analysis, clusterwise aggregation of relations, review

  6. Cluster ion beam facilities

    A brief state-of-the-art review in the field of cluster-surface interactions is presented. Ionised cluster beams could become a powerful and versatile tool for the modification and processing of surfaces as an alternative to ion implantation and ion assisted deposition. The main effects of cluster-surface collisions and possible applications of cluster ion beams are discussed. The outlooks of the Cluster Implantation and Deposition Apparatus (CIDA) being developed in Guteborg University are shown

  7. Graded cluster algebras

    Grabowski, Jan

    2015-01-01

    In the cluster algebra literature, the notion of a graded cluster algebra has been implicit since the origin of the subject. In this work, we wish to bring this aspect of cluster algebra theory to the foreground and promote its study. We transfer a definition of Gekhtman, Shapiro and Vainshtein to the algebraic setting, yielding the notion of a multi-graded cluster algebra. We then study gradings for finite type cluster algebras without coefficients, giving a full classification. Translating ...

  8. Performance Evaluation of Cluster Computing

    K D.Kavitha

    2013-08-01

    Full Text Available Cluster Computing addresses the latest results in these fields that support High Performance Distributed Computing (HPDC. In HPDC environments, parallel and/or distributed computing techniques are applied to the solution of computationally intensive applications across networks of computers. A cluster computing is a type of parallel or distributed computer system, which consists of a collection of interconnected stand-alone computers working together as a single integrated computing resource. The key components of a cluster include multiple standalone computers (PCs, Workstations, or SMPs, operating systems, high-performance interconnects, middleware, parallel programming environments, and applications. It assumes that the reader is familiar with the standard commodity hardware and software components such as stand-alone computers, operating systems such as Linux and Windows, and standard communication software such as TCP/IP. There are many applications which can benefit from parallelisation. Employing clusters of computers provides a method to utilise commodity components, minimising cost and and maximising longevity of the individual parts.

  9. MicroRNA expression profile in head and neck cancer: HOX-cluster embedded microRNA-196a and microRNA-10b dysregulation implicated in cell proliferation

    Current evidence implicates aberrant microRNA expression patterns in human malignancies; measurement of microRNA expression may have diagnostic and prognostic applications. Roles for microRNAs in head and neck squamous cell carcinomas (HNSCC) are largely unknown. HNSCC, a smoking-related cancer, is one of the most common malignancies worldwide but reliable diagnostic and prognostic markers have not been discovered so far. Some studies have evaluated the potential use of microRNA as biomarkers with clinical application in HNSCC. MicroRNA expression profile of oral squamous cell carcinoma samples was determined by means of DNA microarrays. We also performed gain-of-function assays for two differentially expressed microRNA using two squamous cell carcinoma cell lines and normal oral keratinocytes. The effect of the over-expression of these molecules was evaluated by means of global gene expression profiling and cell proliferation assessment. Altered microRNA expression was detected for a total of 72 microRNAs. Among these we found well studied molecules, such as the miR-17-92 cluster, comprising potent oncogenic microRNA, and miR-34, recently found to interact with p53. HOX-cluster embedded miR-196a/b and miR-10b were up- and down-regulated, respectively, in tumor samples. Since validated HOX gene targets for these microRNAs are not consistently deregulated in HNSCC, we performed gain-of-function experiments, in an attempt to outline their possible role. Our results suggest that both molecules interfere in cell proliferation through distinct processes, possibly targeting a small set of genes involved in cell cycle progression. Functional data on miRNAs in HNSCC is still scarce. Our data corroborate current literature and brings new insights into the role of microRNAs in HNSCC. We also show that miR-196a and miR-10b, not previously associated with HNSCC, may play an oncogenic role in this disease through the deregulation of cell proliferation. The study of micro

  10. Cluster Evaluation of Density Based Subspace Clustering

    Sembiring, Rahmat Widia

    2010-01-01

    Clustering real world data often faced with curse of dimensionality, where real world data often consist of many dimensions. Multidimensional data clustering evaluation can be done through a density-based approach. Density approaches based on the paradigm introduced by DBSCAN clustering. In this approach, density of each object neighbours with MinPoints will be calculated. Cluster change will occur in accordance with changes in density of each object neighbours. The neighbours of each object typically determined using a distance function, for example the Euclidean distance. In this paper SUBCLU, FIRES and INSCY methods will be applied to clustering 6x1595 dimension synthetic datasets. IO Entropy, F1 Measure, coverage, accurate and time consumption used as evaluation performance parameters. Evaluation results showed SUBCLU method requires considerable time to process subspace clustering; however, its value coverage is better. Meanwhile INSCY method is better for accuracy comparing with two other methods, altho...

  11. Media Clusters and Media Cluster Policies

    Karlsson, Charlie; Picard, Robert

    2011-01-01

    Large media clusters have emerged in a limited number of large cities, characterizing the geographical concentration of the global media industry. This paper explores the reasons behind the localization patterns of media industries, the effect of the rapid advancement of Information and Communication Technologies (ICT) on media clusters and the role of media cluster policies. One might draw the conclusion that with the developments of the ICT sector and the fact that there are no raw material...

  12. Gene Expression Data Knowledge Discovery using Global and Local Clustering

    H, Swathi.

    2010-01-01

    To understand complex biological systems, the research community has produced huge corpus of gene expression data. A large number of clustering approaches have been proposed for the analysis of gene expression data. However, extracting important biological knowledge is still harder. To address this task, clustering techniques are used. In this paper, hybrid Hierarchical k-Means algorithm is used for clustering and biclustering gene expression data is used. To discover both local and global cl...

  13. Tuning Properties in Silver Clusters

    Joshi, Chakra P

    2015-07-09

    The properties of Ag nanoclusters are not as well understood as those of their more precious Au cousins. However, a recent surge in the exploration of strategies to tune the physicochemical characteristics of Ag clusters addresses this imbalance, leading to new insights into their optical, luminescence, crystal habit, metal-core, ligand-shell and environmental properties. In this Perspective, we provide an overview of the latest strategies along with a brief introduction of the theoretical framework necessary to understand the properties of silver nanoclusters and the basis for their tuning. The advances in cluster research and the future prospects presented in this Perspective will eventually guide the next large systematic study of nanoclusters, resulting in a single collection of data similar to the periodic table of elements.

  14. Tuning Properties in Silver Clusters.

    Joshi, Chakra P; Bootharaju, Megalamane S; Bakr, Osman M

    2015-08-01

    The properties of Ag nanoclusters are not as well understood as those of their more precious Au cousins. However, a recent surge in the exploration of strategies to tune the physicochemical characteristics of Ag clusters addresses this imbalance, leading to new insights into their optical, luminescence, crystal habit, metal-core, ligand-shell, and environmental properties. In this Perspective, we provide an overview of the latest strategies along with a brief introduction of the theoretical framework necessary to understand the properties of silver nanoclusters and the basis for their tuning. The advances in cluster research and the future prospects presented in this Perspective will eventually guide the next large systematic study of nanoclusters, resulting in a single collection of data similar to the periodic table of elements. PMID:26267198

  15. IP MASQUERADING: A Network Address Translation Technique

    Chiranji Lal Chowdhary; Prashant P.J.

    2010-01-01

    IP Masquerade, called "IPMASQ" or "MASQ" for short, is a form of Network Address Translation (NAT) which allows internally connected computers that do not have one or more registered Internet IP addresses to communicate to the Internet via the server's Internet IP address. Since IPMASQ is a generic technology, you can connect the server's internal and external to other computers through LAN technologies like Ethernet, Token Ring, and FDDI, as well as dialup connections line PPP or SLIP links....

  16. Organization of Control Units with Operational Addressing

    Alexander A. Barkalov; Roman M. Babakov; Larysa A. Titarenko

    2012-01-01

    The using of operational addressing unit as the block of control unit is proposed. The new structure model of Moore finite-state machine with reduced hardware amount is developed. The generalized structure of operational addressing unit is suggested. An example of synthesis process for Moore finite-state machine with operational addressing unit is given. The analytical researches of proposed structure of control unit are executed.

  17. Cluster selection in divisive clustering algorithms

    Savaresi, Sergio,; Boley, Daniel L.; Bittanti, Sergio; Gazzaniga, Giovanna

    2002-01-01

    This paper deals with the problem of clustering a data-set. In particular, the bisecting divisive approach is here considered. This approach can be naturally divided into two sub-problems: the problem of choosing which cluster must be divided, and the problem of splitting the selected cluster. The focus here is on the first problem. The contribution of this work is to propose a new technique for the selection of the cluster to split. This technique is based upon the shape of...

  18. Are clusters of mental retardation correlated with clusters of developmental delay?

    Huiling Zhen; Suzanne McDermott; Lawson, Andrew B.; C. Marjorie Aelion

    2009-01-01

    Mental retardation (MR) is a subset of developmental delay (DD), a broader classification of childhood disability. The purpose of this study was to determine if clusters of these two conditions were statistically significantly correlated. The residential addresses of 81,935 Medicaid insured pregnant women during each month of pregnancy were used to identify clusters of MR and DD in their children. Correlations between MR and DD were computed based on the sets of P-value surface from selected ...

  19. IP Address Management Principles and Practice

    Rooney, Timothy

    2010-01-01

    This book will be the first covering the subject of IP address management (IPAM). The practice of IPAM includes the application of network management disciplines to IP address space and associated network services, namely DHCP (Dynamic Host Configuration Protocol) and DNS (Domain Name System). The consequence of inaccurately configuring DHCP is that end users may not be able to obtain IP addresses to access the network. Without proper DNS configuration, usability of the network will greatly suffer as the name-to-address lookup process may fail. Imagine having to navigate to a website or send a

  20. Novel Duplicate Address Detection with Hash Function.

    Song, GuangJia; Ji, ZhenZhou

    2016-01-01

    Duplicate address detection (DAD) is an important component of the address resolution protocol (ARP) and the neighbor discovery protocol (NDP). DAD determines whether an IP address is in conflict with other nodes. In traditional DAD, the target address to be detected is broadcast through the network, which provides convenience for malicious nodes to attack. A malicious node can send a spoofing reply to prevent the address configuration of a normal node, and thus, a denial-of-service attack is launched. This study proposes a hash method to hide the target address in DAD, which prevents an attack node from launching destination attacks. If the address of a normal node is identical to the detection address, then its hash value should be the same as the "Hash_64" field in the neighboring solicitation message. Consequently, DAD can be successfully completed. This process is called DAD-h. Simulation results indicate that address configuration using DAD-h has a considerably higher success rate when under attack compared with traditional DAD. Comparative analysis shows that DAD-h does not require third-party devices and considerable computing resources; it also provides a lightweight security resolution. PMID:26991901

  1. Young massive star clusters

    Zwart, Simon Portegies; Gieles, Mark

    2010-01-01

    Young massive clusters are dense aggregates of young stars that form the fundamental building blocks of galaxies. Several examples exist in the Milky Way Galaxy and the Local Group, but they are particularly abundant in starburst and interacting galaxies. The few young massive clusters that are close enough to resolve are of prime interest for studying the stellar mass function and the ecological interplay between stellar evolution and stellar dynamics. The distant unresolved clusters may be effectively used to study the star-cluster mass function, and they provide excellent constraints on the formation mechanisms of young cluster populations. Young massive clusters are expected to be the nurseries for many unusual objects, including a wide range of exotic stars and binaries. So far only a few such objects have been found in young massive clusters, although their older cousins, the globular clusters, are unusually rich in stellar exotica. In this review we focus on star clusters younger than $\\sim100$\\,Myr, m...

  2. Space-time clustering of non-hodgkin lymphoma using residential histories in a Danish case-control study.

    Baastrup Nordsborg, Rikke; Meliker, Jaymie R; Kjær Ersbøll, Annette; Jacquez, Geoffrey M; Raaschou-Nielsen, Ole

    2013-01-01

    Non-Hodgkin lymphoma (NHL) is a frequent cancer and incidence rates have increased markedly during the second half of the 20(th) century; however, the few established risk factors cannot explain this rise and still little is known about the aetiology of NHL. Spatial analyses have been applied in an attempt to identify environmental risk factors, but most studies do not take human mobility into account. The aim of this study was to identify clustering of NHL in space and time in Denmark, using 33 years of residential addresses. We utilised the nation-wide Danish registers and unique personal identification number that all Danish citizens have to conduct a register-based case-control study of 3210 NHL cases and two independent control groups of 3210 each. Cases were identified in the Danish Cancer Registry and controls were matched by age and sex and randomly selected from the Civil Registration System. Residential addresses of cases and controls from 1971 to 2003 were collected from the Civil Registration System and geocoded. Data on pervious hospital diagnoses and operations were obtained from the National Patient Register. We applied the methods of the newly developed Q-statistics to identify space-time clustering of NHL. All analyses were conducted with each of the two control groups, and we adjusted for previous history of autoimmune disease, HIV/AIDS or organ transplantation. Some areas with statistically significant clustering were identified; however, results were not consistent across the two control groups; thus we interpret the results as chance findings. We found no evidence for clustering of NHL in space and time using 33 years of residential histories, suggesting that if the rise in incidence of NHL is a result of risk factors that vary across space and time, the spatio-temporal variation of such factors in Denmark is too small to be detected with the applied method. PMID:23560108

  3. Space-time clustering of non-hodgkin lymphoma using residential histories in a Danish case-control study.

    Rikke Baastrup Nordsborg

    Full Text Available Non-Hodgkin lymphoma (NHL is a frequent cancer and incidence rates have increased markedly during the second half of the 20(th century; however, the few established risk factors cannot explain this rise and still little is known about the aetiology of NHL. Spatial analyses have been applied in an attempt to identify environmental risk factors, but most studies do not take human mobility into account. The aim of this study was to identify clustering of NHL in space and time in Denmark, using 33 years of residential addresses. We utilised the nation-wide Danish registers and unique personal identification number that all Danish citizens have to conduct a register-based case-control study of 3210 NHL cases and two independent control groups of 3210 each. Cases were identified in the Danish Cancer Registry and controls were matched by age and sex and randomly selected from the Civil Registration System. Residential addresses of cases and controls from 1971 to 2003 were collected from the Civil Registration System and geocoded. Data on pervious hospital diagnoses and operations were obtained from the National Patient Register. We applied the methods of the newly developed Q-statistics to identify space-time clustering of NHL. All analyses were conducted with each of the two control groups, and we adjusted for previous history of autoimmune disease, HIV/AIDS or organ transplantation. Some areas with statistically significant clustering were identified; however, results were not consistent across the two control groups; thus we interpret the results as chance findings. We found no evidence for clustering of NHL in space and time using 33 years of residential histories, suggesting that if the rise in incidence of NHL is a result of risk factors that vary across space and time, the spatio-temporal variation of such factors in Denmark is too small to be detected with the applied method.

  4. Cluster automorphism groups of cluster algebras with coefficients

    Chang, Wen; Zhu, Bin

    2015-01-01

    We study the cluster automorphism group of a skew-symmetric cluster algebra with geometric coefficients. For this, we introduce the notion of gluing free cluster algebra, and show that under a weak condition the cluster automorphism group of a gluing free cluster algebra is a subgroup of the cluster automorphism group of its principal part cluster algebra (i.e. the corresponding cluster algebra without coefficients). We show that several classes of cluster algebras with coefficients are gluin...

  5. Collagen attachment to the substrate controls cell clustering through migration

    Cell clustering and scattering play important roles in cancer progression and tissue engineering. While the extracellular matrix (ECM) is known to control cell clustering, much of the quantitative work has focused on the analysis of clustering between cells with strong cell–cell junctions. Much less is known about how the ECM regulates cells with weak cell–cell contact. Clustering characteristics were quantified in rat adenocarcinoma cells, which form clusters on physically adsorbed collagen substrates, but not on covalently attached collagen substrates. Covalently attaching collagen inhibited desorption of collagen from the surface. While changes in proliferation rate could not explain differences seen in the clustering, changes in cell motility could. Cells plated under conditions that resulted in more clustering had a lower persistence time and slower migration rate than those under conditions that resulted in less clustering. Understanding how the ECM regulates clustering will not only impact the fundamental understanding of cancer progression, but also will guide the design of tissue engineered constructs that allow for the clustering or dissemination of cells throughout the construct. (paper)

  6. An Experimental of IPv6 Address Assignment for Global Unicast Address Using NS-3

    Dr. P. Sumathi

    2015-11-01

    Full Text Available Internet Protocol Version 6 (IPv6 is the next generation protocol and in the near future, routers are going to become more faster and new technologies are going to reduce the Internet delay. IPv6 global unicast address is similar to IPv4 public address and globally routable. This Global unicast address assignment process provides new function called Stateless Address Auto Configuration (SLAAC is a significant feature for host itself generating and configuring own addresses to enable communication. In this paper aims to describe experimental about IPv6 address assignment for global unicast address and evaluation of a host using various parameters such as Default router IP address, Throughput, Average End to End Delay and Domain Name Server (DNS IP address. The study was carried out using an open source Network Simulator (NS-3 to study and analyses the behavior of IPv6 address assignment.

  7. What Makes Clusters Decline?

    Østergaard, Christian Richter; Park, Eun Kyung

    2015-01-01

    Most studies on regional clusters focus on identifying factors and processes that make clusters grow. However, sometimes technologies and market conditions suddenly shift, and clusters decline. This paper analyses the process of decline of the wireless communication cluster in Denmark. The...... longitudinal study on the high-tech cluster reveals that technological lock-in and exit of key firms have contributed to decline. Entrepreneurship has a positive effect on the cluster’s adaptive capabilities, while multinational companies have contradicting effects by bringing in new resources to the cluster...

  8. Cluster identification based on correlations

    Schulman, L. S.

    2012-04-01

    The problem addressed is the identification of cooperating agents based on correlations created as a result of the joint action of these and other agents. A systematic method for using correlations beyond second moments is developed. The technique is applied to a didactic example, the identification of alphabet letters based on correlations among the pixels used in an image of the letter. As in this example, agents can belong to more than one cluster. Moreover, the identification scheme does not require that the patterns be known ahead of time.

  9. A Novel Approach for TNA Address Management

    Xiaodong Wang; Yaohui Jin; Weishen Hu; Shenli Zhu

    2003-01-01

    We present a new scheme to allocate/de- allocate Transport Network Assigned (TNA) address using Link ManagementProtocol (LMP) and to register/resolution these addresses using Lightweight Directory Access Protocol (LDAP) forAutomatically Switched Optical Network (ASON).

  10. Tradition and Change in Swedish Address Forms.

    Mitchell, Stephen A.

    In most European languages, choice of address form classifies the relation between speakers. The first theoretical framework for analyzing address form usage was established by Brown and Gilman (1960) in their investigation of the semantics of pronoun use in a wide variety of Indo-European languages, which concluded that Europeans use the informal…

  11. Approaches for Resolving Dynamic IP Addressing.

    Foo, Schubert; Hui, Siu Cheung; Yip, See Wai; He, Yulan

    1997-01-01

    A problem with dynamic Internet protocol (IP) addressing arises when the Internet connection is through an Internet provider since the IP address is allocated only at connection time. This article examines a number of online and offline methods for resolving the problem. Suggests dynamic domain name system (DNS) and directory service look-up are…

  12. 7 CFR 1730.3 - RUS addresses.

    2010-01-01

    ... 7 Agriculture 11 2010-01-01 2010-01-01 false RUS addresses. 1730.3 Section 1730.3 Agriculture... ELECTRIC SYSTEM OPERATIONS AND MAINTENANCE General § 1730.3 RUS addresses. (a) Persons wishing to obtain...) Documents required to be submitted to RUS under this part are to be sent to the office of the...

  13. An Experimental of IPv6 Address Assignment for Global Unicast Address Using NS-3

    DR.P.SUMATHI; Dr. Saroj Patel; Prabhakaran,, Dorairaj

    2015-01-01

    Internet Protocol Version 6 (IPv6) is the next generation protocol and in the near future, routers are going to become more faster and new technologies are going to reduce the Internet delay. IPv6 global unicast address is similar to IPv4 public address and globally routable. This Global unicast address assignment process provides new function called Stateless Address Auto Configuration (SLAAC) is a significant feature for host itself generating and configuring own addresses to enable communi...

  14. Data structure, method and system for address lookup

    Stefanakis, G.; Sourdis, I.; Nedeltchev, G.G.; De Smet, R.

    2010-01-01

    Method and computer system for constructing a decision tree for use in address lookup of a requested address in an address space. The address space is arranged as a set of basic address ranges. Each basic address range is defined by a lower and an upper bound address, and an address in the address space is represented by a predetermined number of bits.

  15. Basic firefly algorithm for document clustering

    Mohammed, Athraa Jasim; Yusof, Yuhanis; Husni, Husniza

    2015-12-01

    The Document clustering plays significant role in Information Retrieval (IR) where it organizes documents prior to the retrieval process. To date, various clustering algorithms have been proposed and this includes the K-means and Particle Swarm Optimization. Even though these algorithms have been widely applied in many disciplines due to its simplicity, such an approach tends to be trapped in a local minimum during its search for an optimal solution. To address the shortcoming, this paper proposes a Basic Firefly (Basic FA) algorithm to cluster text documents. The algorithm employs the Average Distance to Document Centroid (ADDC) as the objective function of the search. Experiments utilizing the proposed algorithm were conducted on the 20Newsgroups benchmark dataset. Results demonstrate that the Basic FA generates a more robust and compact clusters than the ones produced by K-means and Particle Swarm Optimization (PSO).

  16. Analysis of Various Clustering Algorithms

    Asst Prof. Sunila Godara,; Ms. Amita Verma,

    2013-01-01

    Data clustering is a process of putting similar data into groups. A clustering algorithm partitions a data set into several groups such that the similarity within a group is larger than among groups. This paper reviews four types of clustering techniques- k-Means Clustering, Farther first clustering, Density Based Clustering, Filtered clusterer. These clustering techniques are implemented and analyzed using a clustering tool WEKA. Performance of the 4 techniques are presented and compared.

  17. Dynamically allocated virtual clustering management system

    Marcus, Kelvin; Cannata, Jess

    2013-05-01

    The U.S Army Research Laboratory (ARL) has built a "Wireless Emulation Lab" to support research in wireless mobile networks. In our current experimentation environment, our researchers need the capability to run clusters of heterogeneous nodes to model emulated wireless tactical networks where each node could contain a different operating system, application set, and physical hardware. To complicate matters, most experiments require the researcher to have root privileges. Our previous solution of using a single shared cluster of statically deployed virtual machines did not sufficiently separate each user's experiment due to undesirable network crosstalk, thus only one experiment could be run at a time. In addition, the cluster did not make efficient use of our servers and physical networks. To address these concerns, we created the Dynamically Allocated Virtual Clustering management system (DAVC). This system leverages existing open-source software to create private clusters of nodes that are either virtual or physical machines. These clusters can be utilized for software development, experimentation, and integration with existing hardware and software. The system uses the Grid Engine job scheduler to efficiently allocate virtual machines to idle systems and networks. The system deploys stateless nodes via network booting. The system uses 802.1Q Virtual LANs (VLANs) to prevent experimentation crosstalk and to allow for complex, private networks eliminating the need to map each virtual machine to a specific switch port. The system monitors the health of the clusters and the underlying physical servers and it maintains cluster usage statistics for historical trends. Users can start private clusters of heterogeneous nodes with root privileges for the duration of the experiment. Users also control when to shutdown their clusters.

  18. Clustering high dimensional data

    Assent, Ira

    2012-01-01

    for clustering are required. Consequently, recent research has focused on developing techniques and clustering algorithms specifically for high-dimensional data. Still, open research issues remain. Clustering is a data mining task devoted to the automatic grouping of data based on mutual similarity. Each cluster......High-dimensional data, i.e., data described by a large number of attributes, pose specific challenges to clustering. The so-called ‘curse of dimensionality’, coined originally to describe the general increase in complexity of various computational problems as dimensionality increases, is known...... groups objects that are similar to one another, whereas dissimilar objects are assigned to different clusters, possibly separating out noise. In this manner, clusters describe the data structure in an unsupervised manner, i.e., without the need for class labels. A number of clustering paradigms exist...

  19. Star clusters and associations

    All 33 papers presented at the symposium were inputted to INIS. They dealt with open clusters, globular clusters, stellar associations and moving groups, and local kinematics and galactic structures. (E.S.)

  20. Address forms in Chinese audit opinions

    Ziye; Zhao

    2014-01-01

    Although forms of address are widely used in textual and other types of disclosure,empirical evidence of their effects is rare.China provides a unique setting in which to test the economic consequences of the forms of address used in audit reports.From 2003 to 2011,about 60%of auditors surveyed addressed their clients by their real names in audit opinions,while the others used honorifics.Based on a sample of Chinese audit opinions,I report the following findings.First,the announcement of an audit opinion that uses the client’s real name elicits a greater market response than the announcement of an opinion featuring an honorific form of address.Second,the effects of real-name forms of address are stronger in firms with weak board governance.Third,the association between audit fees and audit risk factors,such as loss-making,is stronger in firms that are addressed by their real names in audit reports.I conclude from these findings that the forms of address used in audit opinions may reveal private information on audit quality.The results of this study are consistent with the power-solidarity effect described by sociolinguists.

  1. Melting of clusters

    Haberland, H. [Freiburg Univ., Facultat fur Physik (Germany)

    2001-07-01

    An experiment is described which allows to measure the caloric curve of size selected sodium cluster ions. This allows to determine rather easily the melting temperatures, and latent heats in the size range between 55 and 340 atoms per cluster. A more detailed analysis is necessary to show that the cluster Na{sub 147}{sup +} has a negative microcanonical heat capacity, and how to determine the entropy of the cluster from the data. (authors)

  2. Cluster beam sources. Part 1. Methods of cluster beams generation

    A.Ju. Karpenko

    2012-10-01

    Full Text Available The short review on cluster beams generation is proposed. The basic types of cluster sources are considered and the processes leading to cluster formation are analyzed. The parameters, that affects the work of cluster sources are presented.

  3. Cluster beam sources. Part 1. Methods of cluster beams generation

    A.Ju. Karpenko; V.A. Baturin

    2012-01-01

    The short review on cluster beams generation is proposed. The basic types of cluster sources are considered and the processes leading to cluster formation are analyzed. The parameters, that affects the work of cluster sources are presented.

  4. Local address and emergency contact details

    2013-01-01

    The HR Department would like to remind members of the personnel that they are responsible for ensuring that their personal data concerning local address and preferred emergency contact details remains valid and up-to-date.   Both are easily accessible via the links below: Local address: https://edh.cern.ch/Document/Personnel/LocalAddressChange   Emergency contacts: https://edh.cern.ch/Document/Personnel/EC   Please take a few minutes to check your details and modify if necessary. Thank you in advance. HR Department Head Office

  5. Multireference Coupled Cluster Ansatz

    Jeziorski, Bogumil

    2010-01-01

    Abstract The origin of the multireference coupled cluster Ansatz for the wave function and the wave operator, discovered in Quantum Theory Project in 1981, is presented from the historical perspective. Various methods of obtaining the cluster amplitudes - both state universal and state selective are critically reviewed and further prospects of using the multireference coupled cluster Ansatz in electronic structure theory are briefly discussed.

  6. Quantum Annealing for Clustering

    Kurihara, Kenichi; Tanaka, Shu; Miyashita, Seiji

    2014-01-01

    This paper studies quantum annealing (QA) for clustering, which can be seen as an extension of simulated annealing (SA). We derive a QA algorithm for clustering and propose an annealing schedule, which is crucial in practice. Experiments show the proposed QA algorithm finds better clustering assignments than SA. Furthermore, QA is as easy as SA to implement.

  7. The Durban Auto Cluster

    Lorentzen, Jochen; Robbins, Glen; Barnes, Justin

    2004-01-01

    The paper describes the formation of the Durban Auto Cluster in the context of trade liberalization. It argues that the improvement of operational competitiveness of firms in the cluster is prominently due to joint action. It tests this proposition by comparing the gains from cluster activities i...

  8. Relational aspects of clusters

    Gjerding, Allan Næs

    The present paper is the first preliminary account of a project being planned for 2013, focussing on the development of the biomedico cluster in North Denmark. The project focusses on the relational capabilities of the cluster in terms of a number of organizational roles which are argued to be...... necessary for the development and growth of the upcoming cluster in question....

  9. Minimalist's linux cluster

    Using barebone PC components and NIC's, we construct a linux cluster which has 2-dimensional mesh structure. This cluster has smaller footprint, is less expensive, and use less power compared to conventional linux cluster. Here, we report our experience in building such a machine and discuss our current lattice project on the machine

  10. Cluster Physics with Merging Galaxy Clusters

    Sandor M. Molnar

    2016-02-01

    Full Text Available Collisions between galaxy clusters provide a unique opportunity to study matter in a parameter space which cannot be explored in our laboratories on Earth. In the standard LCDM model, where the total density is dominated by the cosmological constant ($Lambda$ and the matter density by cold dark matter (CDM, structure formation is hierarchical, and clusters grow mostly by merging.Mergers of two massive clusters are the most energetic events in the universe after the Big Bang,hence they provide a unique laboratory to study cluster physics.The two main mass components in clusters behave differently during collisions:the dark matter is nearly collisionless, responding only to gravity, while the gas is subject to pressure forces and dissipation, and shocks and turbulenceare developed during collisions. In the present contribution we review the different methods used to derive the physical properties of merging clusters. Different physical processes leave their signatures on different wavelengths, thusour review is based on a multifrequency analysis. In principle, the best way to analyze multifrequency observations of merging clustersis to model them using N-body/HYDRO numerical simulations. We discuss the results of such detailed analyses.New high spatial and spectral resolution ground and space based telescopeswill come online in the near future. Motivated by these new opportunities,we briefly discuss methods which will be feasible in the near future in studying merging clusters.

  11. Design Optimization of Multi-Cluster Embedded Systems for Real-Time Applications

    Pop, Paul; Eles, Petru; Peng, Zebo;

    2004-01-01

    We present an approach to design optimization of multi-cluster embedded systems consisting of time-triggered and event-triggered clusters, interconnected via gateways. In this paper, we address design problems which are characteristic to multi-clusters: partitioning of the system functionality into...

  12. Clustering high dimensional data using subspace and projected clustering algorithms

    Rahmat Widia Sembiring; Jasni Mohamad Zain; Abdullah Embong

    2010-01-01

    Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerates clusters of objects in all subspaces of a dataset. It tends to produce many over lapping clusters. Approach: Subspace clustering and projected clustering are research areas for clustering in high dimensional spaces. In this research we experiment three clustering oriented algorithms, PROCLUS, P3C and STATPC. Results...

  13. Census Bureau Planned Acquisition: Address Data

    US Census Bureau, Department of Commerce — The Census Bureau updates and maintains address data to support the correct allocation of population and housing for censuses and surveys. Boundaries, streets,...

  14. Addressing Your Child's Weight at the Doctor

    ... Beverage Toolkit Addressing your Child's Weight at the Doctor Updated:Aug 4,2014 The discussion of weight ... tips on how to make talking with your doctor about weight and childhood obesity less daunting: Come ...

  15. Radiation and occupational health: opening address

    The part of address discusses the following issue: benefits of radiological protection in Malaysia, traceability and accountability as assurance of the validity of radiation measurement, Laboratory Accreditation Scheme, Atomic Energy Licensing Act

  16. Address Points, Published in unknown, SWGRC.

    NSGIC GIS Inventory (aka Ramona) — This Address Points dataset as of unknown. Data by this publisher are often provided in Geographic coordinate system; in a Not Sure projection; The extent of these...

  17. Measuring the Density Matrix by Local Addressing

    Kis, Z

    2001-01-01

    We introduce a procedure to measure the density matrix of a material system. The density matrix is addressed locally in this scheme by applying a sequence of delayed light pulses. The procedure is based on the stimulated Raman adiabatic passage (STIRAP) technique. It is shown that a series of population measurements on the target state of the population transfer process yields unambiguous information about the populations and coherences of the addressed states, which therefore can be determined.

  18. Instrument Mixes Addressing Mercury Emissions to Air

    OECD

    2007-01-01

    This study deals with "instruments used to address mercury emissions to air", by which is meant all legislation, regulation and other measures intended to control or reduce anthropogenic, atmospheric mercury emissions. As the links are complex between actual inputs of mercury to society (consumption for intended use and mobilisation of mercury-impurities via industrial processes) and the final release sources, all types of measures addressing any phase in the life-cycle of mercury which may u...

  19. Addressing non-tariff measures in ASEAN

    Gloria O. Pasadilla

    2013-01-01

    Intra-ASEAN trade has increased six-fold since 1993 but greater integration challenge looms in addressing non-tariff measures. The paper discusses the various ASEAN work programs on NTMs and assesses the incidence of Members' NTMs on various products. Various ways of accelerating the reduction of non-tariff barriers are discussed, including dispute settlement mechanisms. The paper highlights the importance of a unilateral approach in addressing NTMs and the use of regulatory impact analysis t...

  20. Addressing Non-tariff Measures in ASEAN

    Gloria O. Pasadilla

    2013-01-01

    Intra-ASEAN trade has increased six-fold since 1993 but greater integration challenge looms in addressing non-tariff measures. The paper discusses the various ASEAN work programs on NTMs and assesses the incidence of Members‘ NTMs on various products. Various ways of accelerating the reduction of non-tariff barriers are discussed, including dispute settlement mechanisms. The paper highlights the importance of a unilateral approach in addressing NTMs and the use of regulatory impact analysis t...

  1. FPGA Implementation of Content Addressable Memory

    A. M. V. Pathi; M. Premchand; Ramesh Chandra; B. Prudhvi Raj

    2013-01-01

    Content Addressable Memory (CAM) is a special type of computer memory used in certain very high speed searching applications. It is also known as associative memory or associative storage or associative array. Content Addressable Memory (CAM) is frequently used in applications, such as lookup tables, databases, associative computing and networking, that requires high-speed searches due to its ability to improve application performance by using parallel comparison to reduce search time. Althou...

  2. The Ecology of Black Holes in Star Clusters

    Zwart, Simon Portegies

    2004-01-01

    In this lecture we investigate the formation and evolution of black holes in star clusters. The star clusters under consideration are generally rich, containing more than 10^4 stars, and with a density exceeding 10^4 stars/pc^3. Among these are young dense clusters (YoDeCs), globular cluster and the nuclei of galaxies. We will also address the the possible evolutionary link between stellar mass black holes, via intermediate mass black holes to supermassive black holes, mainly focus on the eco...

  3. Why Do Only Some Galaxy Clusters Have Cool Cores?

    Burns, Jack O.; Hallman, Eric J.; Gantner, Brennan; Motl, Patrick M; Michael L. Norman

    2007-01-01

    Flux-limited X-ray samples indicate that about half of rich galaxy clusters have cool cores. Why do only some clusters have cool cores while others do not? In this paper, cosmological N-body + Eulerian hydrodynamic simulations, including radiative cooling and heating, are used to address this question as we examine the formation and evolution of cool core (CC) and non-cool core (NCC) clusters. These adaptive mesh refinement simulations produce both CC and NCC clusters in the same volume. They...

  4. APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags

    Zong, Yu; Xu, Guandong; Jin, Pin;

    2011-01-01

    resulting from the severe difficulty of ambiguity, redundancy and less semantic nature of tags. Clustering method is a useful tool to address the aforementioned difficulties. Most of the researches on tag clustering are directly using traditional clustering algorithms such as K-means or Hierarchical...... algorithm for Tags (APPECT). The main steps of APPECT are: (1) we execute the K-means algorithm on a tag similarity matrix for M times and collect a set of tag clustering results Z={C1,C2,…,Cm}; (2) we form the approximate backbone of Z by executing a greedy search; (3) we fix the approximate backbone as...

  5. Discriminating isogenic cancer cells and identifying altered unsaturated fatty acid content as associated with metastasis status, using k-means clustering and partial least squares-discriminant analysis of Raman maps

    Hedegaard, Martin; Krafft, Christoph; Ditzel, Henrik J;

    2010-01-01

    level of a few proteins and genes. Raman maps were recorded of single cells after fixation and drying using 785 nm laser excitation. K-means clustering reduced the amount of data from each cell and improved the signal-to-noise ratio of cluster-averaged spectra. Spectra representing the nucleus were...

  6. Address Points, address, Published in 2008, 1:24000 (1in=2000ft) scale, Juab County.

    NSGIC GIS Inventory (aka Ramona) — This Address Points dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2008. It is described as 'address'....

  7. ADVANCED CLUSTER BASED IMAGE SEGMENTATION

    D. Kesavaraja

    2011-11-01

    Full Text Available This paper presents efficient and portable implementations of a useful image segmentation technique which makes use of the faster and a variant of the conventional connected components algorithm which we call parallel Components. In the Modern world majority of the doctors are need image segmentation as the service for various purposes and also they expect this system is run faster and secure. Usually Image segmentation Algorithms are not working faster. In spite of several ongoing researches in Conventional Segmentation and its Algorithms might not be able to run faster. So we propose a cluster computing environment for parallel image Segmentation to provide faster result. This paper is the real time implementation of Distributed Image Segmentation in Clustering of Nodes. We demonstrate the effectiveness and feasibility of our method on a set of Medical CT Scan Images. Our general framework is a single address space, distributed memory programming model. We use efficient techniques for distributing and coalescing data as well as efficient combinations of task and data parallelism. The image segmentation algorithm makes use of an efficient cluster process which uses a novel approach for parallel merging. Our experimental results are consistent with the theoretical analysis and practical results. It provides the faster execution time for segmentation, when compared with Conventional method. Our test data is different CT scan images from the Medical database. More efficient implementations of Image Segmentation will likely result in even faster execution times.

  8. Polynuclear technetium halide clusters

    Development of chemistry of polynuclear technetium halide clusters in works devoted to synthesis, structure and investigation of their chemical and physical properties is considered. The role of academician V.I. Spitsyn as an initiator of investigation of polynuclear technetium halide clusters in the Institute of Physical Chemistry of Academy of Science of USSR is noted. Reactions and stability of cluster halides, their molecular and electronic structures are analyzed. Prospects of development of polynuclear technetium halide clusters chemistry as a direction being on the junction of cluster chemistry and theory of metal-metal multiple bonds are appreciated

  9. Cluster analysis for applications

    Anderberg, Michael R

    1973-01-01

    Cluster Analysis for Applications deals with methods and various applications of cluster analysis. Topics covered range from variables and scales to measures of association among variables and among data units. Conceptual problems in cluster analysis are discussed, along with hierarchical and non-hierarchical clustering methods. The necessary elements of data analysis, statistics, cluster analysis, and computer implementation are integrated vertically to cover the complete path from raw data to a finished analysis.Comprised of 10 chapters, this book begins with an introduction to the subject o

  10. SPECTRAL CLUSTERING STRATEGIES FOR HETEROGENEOUS DISEASE EXPRESSION DATA†

    HUANG, GRACE T.; CUNNINGHAM, KATHRYN I.; BENOS, PANAYIOTIS V.; CHENNUBHOTLA, CHAKRA S.

    2015-01-01

    Clustering of gene expression data simplifies subsequent data analyses and forms the basis of numerous approaches for biomarker identification, prediction of clinical outcome, and personalized therapeutic strategies. The most popular clustering methods such as K-means and hierarchical clustering are intuitive and easy to use, but they require arbitrary choices on their various parameters (number of clusters for K-means, and a threshold to cut the tree for hierarchical clustering). Human disease gene expression data are in general more difficult to cluster efficiently due to background (genotype) heterogeneity, disease stage and progression differences and disease subtyping; all of which cause gene expression datasets to be more heterogeneous. Spectral clustering has been recently introduced in many fields as a promising alternative to standard clustering methods. The idea is that pairwise comparisons can help reveal global features through the eigen techniques. In this paper, we developed a new recursive K-means spectral clustering method (ReKS) for disease gene expression data. We benchmarked ReKS on three large-scale cancer datasets and we compared it to different clustering methods with respect to execution time, background models and external biological knowledge. We found ReKS to be superior to the hierarchical methods and equally good to K-means, but much faster than them and without the requirement for a priori knowledge of K. Overall, ReKS offers an attractive alternative for efficient clustering of human disease data. PMID:23424126

  11. Cancer Statistics: Endometrial Cancer

    ... a third party. HPF: Did You Know? Endometrial Cancer Endometrial Cancer - Did you know that endometrial cancer ... mfhs0vbvWi8?rel=0 SEER Stat Fact Sheets: Endometrial Cancer Expand All Collapse All Lifetime risk estimates are ...

  12. Survey on Text Document Clustering

    M.Thangamani; Dr.P.Thangaraj

    2010-01-01

    Document clustering is also referred as text clustering, and its concept is merely equal to data clustering. It is hardly difficult to find the selective information from an ‘N’number of series information, so that document clustering came into picture. Basically cluster means a group of similar data, document clustering means segregating the data into different groups of similar data. Clustering can be of mathematical, statistical or numerical domain. Clustering is a fundamental data analysi...

  13. Unconventional methods for clustering

    Kotyrba, Martin

    2016-06-01

    Cluster analysis or clustering is a task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is the main task of exploratory data mining and a common technique for statistical data analysis used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, and bioinformatics. The topic of this paper is one of the modern methods of clustering namely SOM (Self Organising Map). The paper describes the theory needed to understand the principle of clustering and descriptions of algorithm used with clustering in our experiments.

  14. Clusters in nuclei

    Beck, Christian

    Following the pioneering discovery of alpha clustering and of molecular resonances, the field of nuclear clustering is today one of those domains of heavy-ion nuclear physics that faces the greatest challenges, yet also contains the greatest opportunities. After many summer schools and workshops, in particular over the last decade, the community of nuclear molecular physicists has decided to collaborate in producing a comprehensive collection of lectures and tutorial reviews covering the field. This third volume follows the successful Lect. Notes Phys. 818 (Vol. 1) and 848 (Vol. 2), and comprises six extensive lectures covering the following topics:  - Gamma Rays and Molecular Structure - Faddeev Equation Approach for Three Cluster Nuclear Reactions - Tomography of the Cluster Structure of Light Nuclei Via Relativistic Dissociation - Clustering Effects Within the Dinuclear Model : From Light to Hyper-heavy Molecules in Dynamical Mean-field Approach - Clusterization in Ternary Fission - Clusters in Light N...

  15. Spatial cluster modelling

    Lawson, Andrew B

    2002-01-01

    Research has generated a number of advances in methods for spatial cluster modelling in recent years, particularly in the area of Bayesian cluster modelling. Along with these advances has come an explosion of interest in the potential applications of this work, especially in epidemiology and genome research. In one integrated volume, this book reviews the state-of-the-art in spatial clustering and spatial cluster modelling, bringing together research and applications previously scattered throughout the literature. It begins with an overview of the field, then presents a series of chapters that illuminate the nature and purpose of cluster modelling within different application areas, including astrophysics, epidemiology, ecology, and imaging. The focus then shifts to methods, with discussions on point and object process modelling, perfect sampling of cluster processes, partitioning in space and space-time, spatial and spatio-temporal process modelling, nonparametric methods for clustering, and spatio-temporal ...

  16. 46 CFR 67.113 - Managing owner designation; address; requirement to report change of address.

    2010-10-01

    ... 46 Shipping 2 2010-10-01 2010-10-01 false Managing owner designation; address; requirement to... Required for Vessel Documentation § 67.113 Managing owner designation; address; requirement to report change of address. The owner of each vessel must designate a managing owner on the Application...

  17. Agricultural Clusters in the Netherlands

    Schouten, M.A.; Heijman, W.J.M.

    2012-01-01

    Michael Porter was the first to use the term cluster in an economic context. He introduced the term in The Competitive Advantage of Nations (1990). The term cluster is also known as business cluster, industry cluster, competitive cluster or Porterian cluster. This article aims at determining and mea

  18. Essentials of oral cancer

    Rivera, César

    2015-01-01

    Oral cancer is one of the 10 most common cancers in the world, with a delayed clinical detection, poor prognosis, without specific biomarkers for the disease and expensive therapeutic alternatives. This review aims to present the fundamental aspects of this cancer, focused on squamous cell carcinoma of the oral cavity (OSCC), moving from its definition and epidemiological aspects, addressing the oral carcinogenesis, oral potentially malignant disorders, epithelial precursor lesions and experi...

  19. Why Do Only Some Galaxy Clusters Have Cool Cores?

    Burns, Jack O.; Hallman, Eric J.; Gantner, Brennan; Motl, Patrick M.; Norman, Michael L.

    2008-03-01

    Flux-limited X-ray samples indicate that about half of rich galaxy clusters have cool cores. Why do only some clusters have cool cores while others do not? In this paper, cosmological N-body + Eulerian hydrodynamic simulations, including radiative cooling and heating, are used to address this question as we examine the formation and evolution of cool core (CC) and noncool core (NCC) clusters. These adaptive mesh refinement simulations produce both CC and NCC clusters in the same volume. They have a peak resolution of 15.6 h-1 kpc within a (256 h-1 Mpc)3 box. Our simulations suggest that there are important evolutionary differences between CC clusters and their NCC counterparts. Many of the numerical CC clusters accreted mass more slowly over time and grew enhanced CCs via hierarchical mergers; when late major mergers occurred, the CCs survived the collisions. By contrast, NCC clusters experienced major mergers early in their evolution that destroyed embryonic CCs and produced conditions that prevented CC reformation. As a result, our simulations predict observationally testable distinctions in the properties of CC and NCC beyond the core regions in clusters. In particular, we find differences between CC versus NCC clusters in the shapes of X-ray surface brightness profiles, between the temperatures and hardness ratios beyond the cores, between the distribution of masses, and between their supercluster environs. It also appears that CC clusters are no closer to hydrostatic equilibrium than NCC clusters, an issue important for precision cosmology measurements.

  20. Cancer Statistics

    ... What Is Cancer? Cancer Statistics Cancer Disparities Cancer Statistics Cancer has a major impact on society in ... success of efforts to control and manage cancer. Statistics at a Glance: The Burden of Cancer in ...

  1. Occupational asbestos exposure and risk of pleural mesothelioma, lung cancer, and laryngeal cancer in the prospective netherlands cohort study

    Offermans, N.S.M.; Vermeulen, R.; Burdorf, A.; Goldbohm, R.A.; Kauppinen, T.; Kromhout, H.; Brandt, P.A. van den

    2014-01-01

    OBJECTIVE:: To study the association between occupational asbestos exposure and pleural mesothelioma, lung cancer, and laryngeal cancer, specifically addressing risk associated with the lower end of the exposure distribution, risk of cancer subtypes, and the interaction between asbestos and smoking.

  2. Simultaneous DNA and RNA mapping of somatic mitochondrial mutations across diverse human cancers

    Stewart, James B.; Alaei-Mahabadi, Babak; Radhakrishnan, Sabarinathan; Samuelsson, Tore; Gorodkin, Jan; Gustafsson, Claes M; Larsson, Erik

    2015-01-01

    Somatic mutations in the nuclear genome are required for tumor formation, but the functional consequences of somatic mitochondrial DNA (mtDNA) mutations are less understood. Here we identify somatic mtDNA mutations across 527 tumors and 14 cancer types, using an approach that takes advantage of e...... mitochondrial tRNA biogenesis that are difficult to address in controlled experimental systems.......Somatic mutations in the nuclear genome are required for tumor formation, but the functional consequences of somatic mitochondrial DNA (mtDNA) mutations are less understood. Here we identify somatic mtDNA mutations across 527 tumors and 14 cancer types, using an approach that takes advantage of......, demonstrating that correct tRNA folding is a major determinant for processing of polycistronic mitochondrial transcripts. Additionally, the data suggest that tRNA clusters are preferably processed in the 3' to 5' direction. Our study gives insights into mtDNA function in cancer and answers questions regarding...

  3. Using Design-Based Latent Growth Curve Modeling with Cluster-Level Predictor to Address Dependency

    Wu, Jiun-Yu; Kwok, Oi-Man; Willson, Victor L.

    2014-01-01

    The authors compared the effects of using the true Multilevel Latent Growth Curve Model (MLGCM) with single-level regular and design-based Latent Growth Curve Models (LGCM) with or without the higher-level predictor on various criterion variables for multilevel longitudinal data. They found that random effect estimates were biased when the…

  4. Cluster randomized controlled trial protocol: addressing reproductive coercion in health settings (ARCHES)

    Tancredi, Daniel J.; Silverman, Jay G.; Michele R Decker; McCauley, Heather L.; Anderson, Heather A.; Jones, Kelley A.; Ciaravino, Samantha; Hicks, Angela; Raible, Claire; Zelazny, Sarah; James, Lisa; Miller, Elizabeth

    2015-01-01

    Background Women ages 16–29 utilizing family planning clinics for medical services experience higher rates of intimate partner violence (IPV) and reproductive coercion (RC) than their same-age peers, increasing risk for unintended pregnancy and related poor reproductive health outcomes. Brief interventions integrated into routine family planning care have shown promise in reducing risk for RC, but longer-term intervention effects on partner violence victimization, RC, and unintended pregnancy...

  5. 2009 Clusters, Nanocrystals & Nanostructures GRC

    Lai-Sheng Wang

    2009-07-19

    For over thirty years, this Gordon Conference has been the premiere meeting for the field of cluster science, which studies the phenomena that arise when matter becomes small. During its history, participants have witnessed the discovery and development of many novel materials, including C60, carbon nanotubes, semiconductor and metal nanocrystals, and nanowires. In addition to addressing fundamental scientific questions related to these materials, the meeting has always included a discussion of their potential applications. Consequently, this conference has played a critical role in the birth and growth of nanoscience and engineering. The goal of the 2009 Gordon Conference is to continue the forward-looking tradition of this meeting and discuss the most recent advances in the field of clusters, nanocrystals, and nanostructures. As in past meetings, this will include new topics that broaden the field. In particular, a special emphasis will be placed on nanomaterials related to the efficient use, generation, or conversion of energy. For example, we anticipate presentations related to batteries, catalysts, photovoltaics, and thermoelectrics. In addition, we expect to address the controversy surrounding carrier multiplication with a session in which recent results addressing this phenomenon will be discussed and debated. The atmosphere of the conference, which emphasizes the presentation of unpublished results and lengthy discussion periods, ensures that attendees will enjoy a valuable and stimulating experience. Because only a limited number of participants are allowed to attend this conference, and oversubscription is anticipated, we encourage all interested researchers from academia, industry, and government institutions to apply as early as possible. An invitation is not required. We also encourage all attendees to submit their latest results for presentation at the poster sessions. We anticipate that several posters will be selected for 'hot topic' oral

  6. The spatial distribution of stars in open clusters

    Sanchez, Nestor

    2009-01-01

    The analysis of the distribution of stars in open clusters may yield important information on the star formation process and early dynamical evolution of stellar clusters. Here we address this issue by systematically characterizing the internal spatial structure of 16 open clusters in the Milky Way spanning a wide range of ages. Cluster stars have been selected from a membership probability analysis based on a non-parametric method that uses both positions and proper motions and does not make any a priori assumption on the underlying distributions. The internal structure is then characterized by means of the minimum spanning tree method (Q parameter), King profile fitting, and the correlation dimension (Dc) for those clusters with fractal patterns. On average, clusters with fractal-like structure are younger than those exhibiting radial star density profiles and an apparent trend between Q and age is observed in agreement with previous ideas about the dynamical evolution of the internal spatial structure of s...

  7. Strategies for Addressing Spreadsheet Compliance Challenges

    Weber, Brandon

    2006-01-01

    Most organizations today use spreadsheets in some form or another to support critical business processes. However the financial resources, and developmental rigor dedicated to them are often minor in comparison to other enterprise technology. The increasing focus on achieving regulatory and other forms of compliance over key technology assets has made it clear that organizations must regard spreadsheets as an enterprise resource and account for them when developing an overall compliance strategy. This paper provides the reader with a set of practical strategies for addressing spreadsheet compliance from an organizational perspective. It then presents capabilities offered in the 2007 Microsoft Office System which can be used to help customers address compliance challenges.

  8. Addressing techniques of liquid crystal displays

    Ruckmongathan, Temkar N

    2014-01-01

    Unique reference source that can be used from the beginning to end of a design project to aid choosing an appropriate LCD addressing technique for a given application This book will be aimed at design engineers who are likely to embed LCD drivers and controllers in many systems including systems on chip. Such designers face the challenge of making the right choice of an addressing technique that will serve them with best performance at minimal cost and complexity. Readers will be able to learn about various methods available for driving matrix LCDs and the comparisons at the end of each chap

  9. Welfare work addressing immigrants and refugees

    Øland, Trine

    integrationist visions in their quest to protect immigrants’ and refugees’ fundamental wellbeing and status as human beings with equal rights, group life and history. These opposing elements generate ambiguity and contradiction within integrationist welfare work. The ambition of the presentation is to enquire......In this presentation I will discuss the ways in which welfare workers addressing immigrants and refugees (re)produce integrationist visions, symbolizing society as an integrated whole and immigrants/refugees as a distraction to that whole. Paradoxically, welfare workers also oppose these......, nurses and more) addressing immigrants and refugees and their families and descendants in the Danish welfare nation-state....

  10. Spatial Scan Statistic: Selecting clusters and generating elliptic clusters

    Christiansen, Lasse Engbo; Andersen, Jens Strodl

    2004-01-01

    The spatial scan statistic is widely used to search for clusters. This paper shows that the usually applied elimination of overlapping clusters to find secondary clusters is sensitive to smooth changes in the shape of the clusters. We present an algorithm for generation of set of confocal elliptic...... clusters. In addition, we propose a new way to present the information in a given set of clusters based on the significance of the clusters....

  11. Cluster brand as a competitive advantage. Case: Airport cluster Finland

    Väinölä, Lotta-Elviira

    2015-01-01

    Objective of the Study: The objective of this study is to explore the phenomenon of cluster branding. This study investigates cluster brand as a competitive advantage that impacts the success or decline of the cluster. The research questions examine three aspects: (1) cluster branding as a process, (2) the concrete tools that can be used in cluster branding and (3) the perceived benefits of cluster brand. The study aims to produce a generic model for cluster branding, which can be used as...

  12. Integrating cluster formation and cluster evaluation in interactive visual analysis

    Turkay, C.; Parulek, J.; Reuter, N.; Hauser, H.

    2011-01-01

    Cluster analysis is a popular method for data investigation where data items are structured into groups called clusters. This analysis involves two sequential steps, namely cluster formation and cluster evaluation. In this paper, we propose the tight integration of cluster formation and cluster evaluation in interactive visual analysis in order to overcome the challenges that relate to the black-box nature of clustering algorithms. We present our conceptual framework in the form of an interac...

  13. Clustering Categorical Data:A Cluster Ensemble Approach

    He Zengyou(何增友); Xu Xiaofei; Deng Shengchun

    2003-01-01

    Clustering categorical data, an integral part of data mining,has attracted much attention recently. In this paper, the authors formally define the categorical data clustering problem as an optimization problem from the viewpoint of cluster ensemble, and apply cluster ensemble approach for clustering categorical data. Experimental results on real datasets show that better clustering accuracy can be obtained by comparing with existing categorical data clustering algorithms.

  14. 6 Common Cancers - Prostate Cancer

    ... PSA tests. Read More "6 Common Cancers" Articles Lung Cancer / Breast Cancer / Prostate Cancer / Colorectal Cancer / Skin Cancer / Gynecologic Cancers Spring 2007 Issue: Volume 2 Number 2 Page 10 MedlinePlus | Subscribe | Magazine Information | Contact Us | Viewers & ...

  15. 6 Common Cancers - Skin Cancer

    ... advanced melanoma. Read More "6 Common Cancers" Articles Lung Cancer / Breast Cancer / Prostate Cancer / Colorectal Cancer / Skin Cancer / Gynecologic Cancers Spring 2007 Issue: Volume 2 Number 2 Page 12 MedlinePlus | Subscribe | Magazine Information | Contact Us | Viewers & ...

  16. 6 Common Cancers - Colorectal Cancer

    ... certain people. Read More "6 Common Cancers" Articles Lung Cancer / Breast Cancer / Prostate Cancer / Colorectal Cancer / Skin Cancer / Gynecologic Cancers Spring 2007 Issue: Volume 2 Number 2 Page 11 MedlinePlus | Subscribe | Magazine Information | Contact Us | Viewers & ...

  17. Development of Automatic Cluster Algorithm for Microcalcification in Digital Mammography

    Digital Mammography is an efficient imaging technique for the detection and diagnosis of breast pathological disorders. Six mammographic criteria such as number of cluster, number, size, extent and morphologic shape of microcalcification, and presence of mass, were reviewed and correlation with pathologic diagnosis were evaluated. It is very important to find breast cancer early when treatment can reduce deaths from breast cancer and breast incision. In screening breast cancer, mammography is typically used to view the internal organization. Clusterig microcalcifications on mammography represent an important feature of breast mass, especially that of intraductal carcinoma. Because microcalcification has high correlation with breast cancer, a cluster of a microcalcification can be very helpful for the clinical doctor to predict breast cancer. For this study, three steps of quantitative evaluation are proposed : DoG filter, adaptive thresholding, Expectation maximization. Through the proposed algorithm, each cluster in the distribution of microcalcification was able to measure the number calcification and length of cluster also can be used to automatically diagnose breast cancer as indicators of the primary diagnosis.

  18. Disentangling Porterian Clusters

    Jagtfelt, Tue

    This dissertation investigates the contemporary phenomenon of industrial clusters based on the work of Michael E. Porter, the central progenitor and promoter of the cluster notion. The dissertation pursues two central questions: 1) What is a cluster? and 2) How could Porter’s seemingly fuzzy......, contested theory become so widely disseminated and applied as a normative and prescriptive strategy for economic development? The dissertation traces the introduction of the cluster notion into the EU’s Lisbon Strategy and demonstrates how its inclusion originates from Porter’s colleagues: Professor Örjan...... Sölvell, Dr. Christian Ketels and Dr. Göran Lindqvist. Taking departure in Porter’s works and the cluster literature, the dissertations shows a considerable paradigmatic shift has occurred from the first edition of Nations to the present state of cluster cooperation. To elaborate on this change and the...

  19. From collisions to clusters

    Loukonen, Ville; Bork, Nicolai; Vehkamaki, Hanna

    2014-01-01

    overcome the possible initial non-optimal collision orientations. No post-collisional cluster break up is observed. The reasons for the efficient clustering are (i) the proton transfer reaction which takes place in each of the collision simulations and (ii) the subsequent competition over the proton......The clustering of sulphuric acid with base molecules is one of the main pathways of new-particle formation in the Earth's atmosphere. First step in the clustering process is likely the formation of a (sulphuric acid)1(base)1(water)n cluster. Here, we present results from direct first......-principles molecular dynamics collision simulations of (sulphuric acid)1(water)0, 1 + (dimethylamine) → (sulphuric acid)1(dimethylamine)1(water)0, 1 cluster formation processes. The simulations indicate that the sticking factor in the collisions is unity: the interaction between the molecules is strong enough to...

  20. Cosmology with cluster surveys

    Subhabrata Majumdar

    2004-10-01

    Surveys of clusters of galaxies provide us with a powerful probe of the density and nature of the dark energy. The red-shift distribution of detected clusters is highly sensitive to the dark energy equation of state parameter . Upcoming Sunyaev–Zel'dovich (SZ) surveys would provide us large yields of clusters to very high red-shifts. Self-calibration of cluster scaling relations, possible for such a huge sample, would be able to constrain systematic biases on mass estimators. Combining cluster red-shift abundance with limited mass follow-up and cluster mass power spectrum can then give constraints on , as well as on 8 and to a few per cents.

  1. Cluster Management Institutionalization

    Normann, Leo; Agger Nielsen, Jeppe

    2015-01-01

    This article explores a new management form – cluster management – in Danish public sector day care. Although cluster management has been widely adopted in Danish day care at the municipality level, it has attracted only sparse research attention. We use theoretical insights from Scandinavian...... institutionalism together with a longitudinal case-based inquiry into how cluster management has entered and penetrated the management practices of day care in Denmark. We demonstrate how cluster management became widely adopted in the day care field not only because of its intrinsic properties but also because...... of how it was legitimized as a “ready-to-use” management model. Further, our account reveals how cluster management translated into considerably different local variants as it travelled into specific organizations. However, these processes have not occurred sequentially with cluster management first...

  2. Lung cancer and environmental radon exposure: a case-control study

    Lung cancer accounts for approximately 100,000 deaths annually and nearly 30% of these are due to factors other than smoking. The prognosis for lung cancer is very poor and control of this disease depends on the identification and manipulation of etiologic agents. Radon is a demonstrated pulmonary carcinogen among uranium miners and is a ubiquitous environmental agent. This study addresses two principal issues: (a) the assessment of the potential health effects due to radon exposure from radioactive waste disposal in Canonsburg, Pennsylvania, and (b) the broader scientific question of the existence of an association between lung cancer and environmental radon exposure. Indoor radon concentrations were taken in the homes of 50 lung cancer cases and 48 ASHD controls as an index of cumulative exposure. The distribution of concentrations was similar among case and control homes. The range of exposures was within background expectations as were lung cancer rates in the area. There was, furthermore, no geographic clustering of cases near the tailings site. Although an association between lung cancer and environmental radon exposure cannot be ruled out, the evidence suggests that radon exposure due to the disposal of tailings did not have a significant impact on the health of the residents living in the area and that indoor radon is not an important lung cancer risk factor at concentrations less than about 4pCi/I

  3. Cluster Symmetries and Dynamics

    Freer Martin

    2016-01-01

    Full Text Available Many light nuclei display behaviour that indicates that rather than behaving as an A-body systems, the protons and neutrons condense into clusters. The α-particle is the most obvious example of such clustering. This contribution examines the role of such α-clustering on the structure, symmetries and dynamics of the nuclei 8Be, 12C and 16O, recent experimental measurements and future perspectives.

  4. Agricultural Clusters in China

    Kiminami, Lily; Kiminami, Akira

    2009-01-01

    The purpose of this study is to assess the potential of clustering in the development of agriculture and rural communities in China. We shall examine in detail the food industry, which is the link in the food chain that propels the industrialization of agriculture, and identify instances of industrial agglomeration and business collaboration. Next, we shall analyze the externalities (i.e. spillovers) of clusters, demand conditions in cluster formation, and the effectiveness of business collab...

  5. The Durban Auto Cluster

    Lorentzen, Jochen; Robbins, Glen; Barnes, Justin

    2004-01-01

    The paper describes the formation of the Durban Auto Cluster in the context of trade liberalization. It argues that the improvement of operational competitiveness of firms in the cluster is prominently due to joint action. It tests this proposition by comparing the gains from cluster activities in the areas of supplier development, human resource development, logistics, and benchmarking, and by contrasting the impact of joint action against a host of other variables, notably international com...

  6. Securing personal network clusters

    Jehangir, Assed; Heemstra de Groot, Sonia M.

    2007-01-01

    A Personal Network is a self-organizing, secure and private network of a user’s devices notwithstanding their geographic location. It aims to utilize pervasive computing to provide users with new and improved services. In this paper we propose a model for securing Personal Network clusters. Clusters are ad-hoc networks of co-located personal devices. The ad-hoc makeup of clusters, coupled with the resource constrained nature of many constituent devices, makes enforcing security a challenging ...

  7. Cluster headache with aura

    Martínez-Fernández, Eva; Alberca, Roman; Mir, Pablo; Franco, Emilio; Montes, Enrique; Lozano, Pilar

    2002-01-01

    The objective of our study is to report the frequency and characteristics of cluster headache with aura among the population of patients with cluster headache treated in our outpatient neurology clinic. 254 patients were submitted to semi-structured interviews to identify the presence of symptoms similar to the migraine aura. 5 patients who suffered from a cluster headache with aura filled a diary with the characteristics of the pain attacks and the aura. All the patients with either episodic...

  8. Rationale, design, and implementation protocol of the Dutch clinical practice guideline Pain in patients with cancer: a cluster randomised controlled trial with short message service (SMS) and interactive voice response (IVR)

    te Boveldt Nienke; Engels Yvonne; Besse Kees; Vissers Kris; Vernooij-Dassen Myrra

    2011-01-01

    Abstract Background One-half of patients with cancer have pain. In nearly one out of two cancer patients with pain, this was undertreated. Inadequate pain control still remains an important problem in this group of patients. Therefore, in 2008 a national, evidence-based multidisciplinary clinical practice guideline 'pain in patients with cancer' has been developed. Yet, publishing a guideline is not enough. Implementation is needed to improve pain management. An innovative implementation stra...

  9. A Proposed Process Model for Removing IP Address Conflicts when Different MANETs merge: Check the Performance of Server when Address Conflict Occurs

    Chand Mukesh H. L. Mandoria

    2012-02-01

    Full Text Available As the number of nodes increases the complexity of MANET [1, 11] increases in various issues. For this reason various approaches has been produced to reduce the complexity such as cluster head technique and dominating set based gateway technique. Another issue is distribution of IP in MANET. There are various approaches is given to assign the IP address but they are not much effective and each and every approach has its limitation. In this paper a conflict free process model is proposed to solve the configuration problem where two or more than two MANET merge and remove the limitation from the above-mentioned approaches .And also the performance of server due IP address conflict is tested with the help of a scenario to solve IP address configuration [2, 4, 8, 13, and 16] problem in mobile adhoc network.

  10. How Sociology Texts Address Gun Control

    Tonso, William R.

    2004-01-01

    William R. Tonso has chosen an issue that he knows something about to examine how sociology textbooks address controversy. Appealing for gun control is fashionable, but it is at odds with a fondness that ordinary Americans have for their firearms--one that is supported by a growing body of research on deterrence to crime. There are two sides to…

  11. The Conversational Frame in Public Address.

    Branham, Robert James; Pearce, W. Barnett

    1996-01-01

    Explores the diverse forms and motives of the conversational frame in public address. Argues that, by framing their remarks and transactions with their listeners as conversational, orators may attempt to reconstruct or seem to reconstruct speaker-audience relationships and to position themselves and their audiences within networks of reciprocal…

  12. Registering Names and Addresses for Information Technology.

    Knapp, Arthur A.

    The identification of administrative authorities and the development of associated procedures for registering and accessing names and addresses of communications data systems are considered in this paper. It is noted that, for data communications systems using standards based on the Open Systems Interconnection (OSI) Reference Model specified by…

  13. IP Address Use in Internetworking Routing

    2003-01-01

    tut quiz present anim This interactive tutorial covers the following: How routers use the elements of the IP address to forward packets of information., How information travels through the Internet.The interactions consists of pop-up definitions of terms, animations and self-check questions. EC3760 Introduction to Information Operations Engineering

  14. 37 CFR 301.2 - Official addresses.

    2010-07-01

    ... Section 301.2 Patents, Trademarks, and Copyrights COPYRIGHT ROYALTY BOARD, LIBRARY OF CONGRESS GENERAL...., and be addressed as follows: Copyright Royalty Board, Library of Congress, James Madison Memorial... Royalty Board, Library of Congress, James Madison Memorial Building, 101 Independence Avenue,...

  15. Addressing Issues Related to Technology and Engineering

    Technology Teacher, 2008

    2008-01-01

    This article presents an interview with Michael Hacker and David Burghardt, codirectors of Hoftra University's Center for Technological Literacy. Hacker and Burghardt address issues related to technology and engineering. They argue that teachers need to be aware of the problems kids are facing, and how to present these problems in an engaging…

  16. Addressing production stops in the food industry

    Hansen, Zaza Nadja Lee; Herbert, Luke Thomas; Jacobsen, Peter

    2014-01-01

    This paper investigates the challenges in the food industry which causes the production lines to stop, illustrated by a case study of an SME size company in the baked goods sector in Denmark. The paper proposes key elements this sector needs to be aware of to effectively address production stops......, and gives examples of the unique challenges faced by the SME food industry....

  17. Addressing South Africa's Engineering Skills Gaps

    Hall, Jonathan; Sandelands, Eric

    2009-01-01

    Purpose: This paper aims to provide a case study of how engineering skills gaps are being addressed by Murray & Roberts in South Africa. Design/methodology/approach: The paper focuses on skills challenges in South Africa from a reflective practitioner perspective, exploring a case example from an industry leader. Findings: The paper explores how…

  18. Road Map to Address Cognitive Health

    2014-06-09

    In this podcast, CDC’s Dr. Lynda Anderson highlights the important roles that states and communities can play in addressing cognitive health as part of overall health.  Created: 6/9/2014 by National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP).   Date Released: 6/9/2014.

  19. 37 CFR 251.1 - Official addresses.

    2010-07-01

    ... ARBITRATION ROYALTY PANEL RULES AND PROCEDURES COPYRIGHT ARBITRATION ROYALTY PANEL RULES OF PROCEDURE... Copyright Arbitration Royalty Panels (CARPs) must be addressed as follows: (a) If hand delivered by a... Friday between 8:30 a.m. and 5 p.m. (b) If hand delivered by a commercial courier (excluding...

  20. Addressing Student Debt in the Classroom

    Perkins, David; Johnston, Tim; Lytle, Rick

    2016-01-01

    Student debt is a national concern. The authors address debt in the classroom to enhance students' understanding of the consequences of debt and the need for caution when financing their education. However, student feedback indicates this understanding has a delayed effect on borrowing behavior and underscores the importance of making difficult…

  1. The relationship of cancer stem cells in urological cancers

    Marta Pokrywczyńska; Jan Adamowicz; Jakub Tworkiewicz; Zbigniew Wolski; Tomasz Drewa

    2013-01-01

    Numerous studies are ongoing to identify and isolate cancer stem cells from cancers of genito-urinary tracts. Better understanding of their role in prostate, urothelial and kidney cancer origin, growth and progression opens new pathways in development of more effective treatment methods. However there are still many issues before advances in this field can be introduced for clinical application. This review addresses current achievements in cancer stem cells research in uro-oncology.

  2. The relationship of cancer stem cells in urological cancers

    Marta Pokrywczyńska

    2013-08-01

    Full Text Available Numerous studies are ongoing to identify and isolate cancer stem cells from cancers of genito-urinary tracts. Better understanding of their role in prostate, urothelial and kidney cancer origin, growth and progression opens new pathways in development of more effective treatment methods. However there are still many issues before advances in this field can be introduced for clinical application. This review addresses current achievements in cancer stem cells research in uro-oncology.

  3. Clustering Genes of Common Evolutionary History.

    Gori, Kevin; Suchan, Tomasz; Alvarez, Nadir; Goldman, Nick; Dessimoz, Christophe

    2016-06-01

    Phylogenetic inference can potentially result in a more accurate tree using data from multiple loci. However, if the loci are incongruent-due to events such as incomplete lineage sorting or horizontal gene transfer-it can be misleading to infer a single tree. To address this, many previous contributions have taken a mechanistic approach, by modeling specific processes. Alternatively, one can cluster loci without assuming how these incongruencies might arise. Such "process-agnostic" approaches typically infer a tree for each locus and cluster these. There are, however, many possible combinations of tree distance and clustering methods; their comparative performance in the context of tree incongruence is largely unknown. Furthermore, because standard model selection criteria such as AIC cannot be applied to problems with a variable number of topologies, the issue of inferring the optimal number of clusters is poorly understood. Here, we perform a large-scale simulation study of phylogenetic distances and clustering methods to infer loci of common evolutionary history. We observe that the best-performing combinations are distances accounting for branch lengths followed by spectral clustering or Ward's method. We also introduce two statistical tests to infer the optimal number of clusters and show that they strongly outperform the silhouette criterion, a general-purpose heuristic. We illustrate the usefulness of the approach by 1) identifying errors in a previous phylogenetic analysis of yeast species and 2) identifying topological incongruence among newly sequenced loci of the globeflower fly genus Chiastocheta We release treeCl, a new program to cluster genes of common evolutionary history (http://git.io/treeCl). PMID:26893301

  4. Clustering Genes of Common Evolutionary History

    Gori, Kevin; Suchan, Tomasz; Alvarez, Nadir; Goldman, Nick; Dessimoz, Christophe

    2016-01-01

    Phylogenetic inference can potentially result in a more accurate tree using data from multiple loci. However, if the loci are incongruent—due to events such as incomplete lineage sorting or horizontal gene transfer—it can be misleading to infer a single tree. To address this, many previous contributions have taken a mechanistic approach, by modeling specific processes. Alternatively, one can cluster loci without assuming how these incongruencies might arise. Such “process-agnostic” approaches typically infer a tree for each locus and cluster these. There are, however, many possible combinations of tree distance and clustering methods; their comparative performance in the context of tree incongruence is largely unknown. Furthermore, because standard model selection criteria such as AIC cannot be applied to problems with a variable number of topologies, the issue of inferring the optimal number of clusters is poorly understood. Here, we perform a large-scale simulation study of phylogenetic distances and clustering methods to infer loci of common evolutionary history. We observe that the best-performing combinations are distances accounting for branch lengths followed by spectral clustering or Ward’s method. We also introduce two statistical tests to infer the optimal number of clusters and show that they strongly outperform the silhouette criterion, a general-purpose heuristic. We illustrate the usefulness of the approach by 1) identifying errors in a previous phylogenetic analysis of yeast species and 2) identifying topological incongruence among newly sequenced loci of the globeflower fly genus Chiastocheta. We release treeCl, a new program to cluster genes of common evolutionary history (http://git.io/treeCl). PMID:26893301

  5. 15th Cluster workshop

    Laakso, Harri; Escoubet, C. Philippe; The Cluster Active Archive : Studying the Earth’s Space Plasma Environment

    2010-01-01

    Since the year 2000 the ESA Cluster mission has been investigating the small-scale structures and processes of the Earth's plasma environment, such as those involved in the interaction between the solar wind and the magnetospheric plasma, in global magnetotail dynamics, in cross-tail currents, and in the formation and dynamics of the neutral line and of plasmoids. This book contains presentations made at the 15th Cluster workshop held in March 2008. It also presents several articles about the Cluster Active Archive and its datasets, a few overview papers on the Cluster mission, and articles reporting on scientific findings on the solar wind, the magnetosheath, the magnetopause and the magnetotail.

  6. Management of cluster headache.

    Tfelt-Hansen, Peer C; Jensen, Rigmor H

    2012-07-01

    The prevalence of cluster headache is 0.1% and cluster headache is often not diagnosed or misdiagnosed as migraine or sinusitis. In cluster headache there is often a considerable diagnostic delay - an average of 7 years in a population-based survey. Cluster headache is characterized by very severe or severe orbital or periorbital pain with a duration of 15-180 minutes. The cluster headache attacks are accompanied by characteristic associated unilateral symptoms such as tearing, nasal congestion and/or rhinorrhoea, eyelid oedema, miosis and/or ptosis. In addition, there is a sense of restlessness and agitation. Patients may have up to eight attacks per day. Episodic cluster headache (ECH) occurs in clusters of weeks to months duration, whereas chronic cluster headache (CCH) attacks occur for more than 1 year without remissions. Management of cluster headache is divided into acute attack treatment and prophylactic treatment. In ECH and CCH the attacks can be treated with oxygen (12 L/min) or subcutaneous sumatriptan 6 mg. For both oxygen and sumatriptan there are two randomized, placebo-controlled trials demonstrating efficacy. In both ECH and CCH, verapamil is the prophylactic drug of choice. Verapamil 360 mg/day was found to be superior to placebo in one clinical trial. In clinical practice, daily doses of 480-720 mg are mostly used. Thus, the dose of verapamil used in cluster headache treatment may be double the dose used in cardiology, and with the higher doses the PR interval should be checked with an ECG. At the start of a cluster, transitional preventive treatment such as corticosteroids or greater occipital nerve blockade can be given. In CCH and in long-standing clusters of ECH, lithium, methysergide, topiramate, valproic acid and ergotamine tartrate can be used as add-on prophylactic treatment. In drug-resistant CCH, neuromodulation with either occipital nerve stimulation or deep brain stimulation of the hypothalamus is an alternative treatment strategy

  7. Fast Density Based Clustering Algorithm

    Priyanka Trikha; Singh Vijendra

    2013-01-01

    Clustering problem is an unsupervised learning problem. It is a procedure that partition data objects into matching clusters. The data objects in the same cluster are quite similar to each other and dissimilar in the other clusters. The traditional algorithms do not meet the latest multiple requirements simultaneously for objects. Density-based clustering algorithms find clusters based on density of data points in a region. DBSCAN algorithm is one of the density-based clustering algorithms. I...

  8. Statistical Properties of Convex Clustering

    Tan, Kean Ming; Witten, Daniela

    2015-01-01

    In this manuscript, we study the statistical properties of convex clustering. We establish that convex clustering is closely related to single linkage hierarchical clustering and $k$-means clustering. In addition, we derive the range of tuning parameter for convex clustering that yields a non-trivial solution. We also provide an unbiased estimate of the degrees of freedom, and provide a finite sample bound for the prediction error for convex clustering. We compare convex clustering to some tr...

  9. A Uniqueness Theorem for Clustering

    Zadeh, Reza Bosagh; Ben-David, Shai

    2012-01-01

    Despite the widespread use of Clustering, there is distressingly little general theory of clustering available. Questions like "What distinguishes a clustering of data from other data partitioning?", "Are there any principles governing all clustering paradigms?", "How should a user choose an appropriate clustering algorithm for a particular task?", etc. are almost completely unanswered by the existing body of clustering literature. We consider an axiomatic approach to the theory of Clustering...

  10. Statistical properties of convex clustering

    Tan, Kean Ming; Witten, Daniela

    2015-01-01

    In this manuscript, we study the statistical properties of convex clustering. We establish that convex clustering is closely related to single linkage hierarchical clustering and $k$-means clustering. In addition, we derive the range of the tuning parameter for convex clustering that yields a non-trivial solution. We also provide an unbiased estimator of the degrees of freedom, and provide a finite sample bound for the prediction error for convex clustering. We compare convex clustering to so...

  11. Document Clustering Based on Semi-Supervised Term Clustering

    Hamid Mahmoodi

    2012-05-01

    Full Text Available The study is conducted to propose a multi-step feature (term selection process and in semi-supervised fashion, provide initial centers for term clusters. Then utilize the fuzzy c-means (FCM clustering algorithm for clustering terms. Finally assign each of documents to closest associated term clusters. While most text clustering algorithms directly use documents for clustering, we propose to first group the terms using FCM algorithm and then cluster documents based on terms clusters. We evaluate effectiveness of our technique on several standard text collections and compare our results with the some classical text clustering algorithms.

  12. A Density Based Dynamic Data Clustering Algorithm based on Incremental Dataset

    K. R.S. Kumar

    2012-01-01

    Full Text Available Problem statement: Clustering and visualizing high-dimensional dynamic data is a challenging problem. Most of the existing clustering algorithms are based on the static statistical relationship among data. Dynamic clustering is a mechanism to adopt and discover clusters in real time environments. There are many applications such as incremental data mining in data warehousing applications, sensor network, which relies on dynamic data clustering algorithms. Approach: In this work, we present a density based dynamic data clustering algorithm for clustering incremental dataset and compare its performance with full run of normal DBSCAN, Chameleon on the dynamic dataset. Most of the clustering algorithms perform well and will give ideal performance with good accuracy measured with clustering accuracy, which is calculated using the original class labels and the calculated class labels. However, if we measure the performance with a cluster validation metric, then it will give another kind of result. Results: This study addresses the problems of clustering a dynamic dataset in which the data set is increasing in size over time by adding more and more data. So to evaluate the performance of the algorithms, we used Generalized Dunn Index (GDI, Davies-Bouldin index (DB as the cluster validation metric and as well as time taken for clustering. Conclusion: In this study, we have successfully implemented and evaluated the proposed density based dynamic clustering algorithm. The performance of the algorithm was compared with Chameleon and DBSCAN clustering algorithms. The proposed algorithm performed significantly well in terms of clustering accuracy as well as speed.

  13. Chemical graph-theoretic cluster expansions

    A general computationally amenable chemico-graph-theoretic cluster expansion method is suggested as a paradigm for incorporation of chemical structure concepts in a systematic manner. The cluster expansion approach is presented in a formalism general enough to cover a variety of empirical, semiempirical, and even ab initio applications. Formally such approaches for the utilization of chemical structure-related concepts may be viewed as discrete analogues of Taylor series expansions. The efficacy of the chemical structure concepts then is simply bound up in the rate of convergence of the cluster expansions. In many empirical applications, e.g., boiling points, chromatographic separation coefficients, and biological activities, this rate of convergence has been observed to be quite rapid. More note will be made here of quantum chemical applications. Relations to questions concerning size extensivity of energies and size consistency of wave functions are addressed

  14. Lifting to cluster-tilting objects in higher cluster categories

    Liu, Pin

    2008-01-01

    In this note, we consider the $d$-cluster-tilted algebras, the endomorphism algebras of $d$-cluster-tilting objects in $d$-cluster categories. We show that a tilting module over such an algebra lifts to a $d$-cluster-tilting object in this $d$-cluster category.

  15. Automatic Clustering Approaches Based On Initial Seed Points

    G.V.S.N.R.V.Prasad

    2011-12-01

    Full Text Available Since clustering is applied in many fields, a number of clustering techniques and algorithms have been proposed and are available in the literature. This paper proposes a novel approach to address the major problems in any of the partitional clustering algorithms like choosing appropriate K-value and selection of K-initial seed points. The performance of any partitional clustering algorithms depends oninitial seed points which are random in all the existing partitional clustering algorithms. To overcome this problem, a novel algorithm called Weighted Interior Clustering (WIC algorithm to find approximate initial seed-points, number of clusters and data points in the clusters is proposed in this paper. This paper also proposes another novel approach combining a newly proposed WIC algorithm with K-means named as Weighted Interior K-means Clustering (WIKC. The novelty of this WIKC is that it improves the quality and performance of K-means clustering algorithm with reduced complexity. The experimental results on various datasets, with various instances clearly indicates the efficacy of the proposed methods over the other methods.

  16. Mouse models of colorectal cancer

    Yunguang Tong; Wancai Yang; H. Phillip Koeffler

    2011-01-01

    Colorectal cancer is one of the most common malignancies in the world. Many mouse models have been developed to evaluate features of colorectal cancer in humans. These can be grouped into genetically-engineered, chemically-induced, and inoculated models. However, none recapitulates all of the characteristics of human colorectal cancer. It is critical to use a specific mouse model to address a particular research question. Here, we review commonly used mouse models for human colorectal cancer.

  17. Fuzzy Clustering: Determining the Number of Clusters

    Řezanková, H.; Húsek, Dušan

    Piscataway : IEEE, 2012, s. 277-282. ISBN 978-1-4673-4793-8. [CASoN 2012. International Conference on Computational Aspects of Social Networks /4./. Sao Carlos (BR), 21.11.2012-23.11.2012] R&D Projects: GA ČR GAP202/10/0262 Grant ostatní: GA MŠk(CZ) ED1.1.00/02.0070 Institutional support: RVO:67985807 Keywords : fuzzy cluster analysis * determining number of clusters * Dunn’s coefficient * average silhouette width Subject RIV: BB - Applied Statistics, Operational Research

  18. Singular electrostatic energy of nanoparticle clusters

    Qin, Jian; Krapf, Nathan W.; Witten, Thomas A.

    2016-01-01

    The binding of clusters of metal nanoparticles is partly electrostatic. We address difficulties in calculating the electrostatic energy when high charging energies limit the total charge to a single quantum, entailing unequal potentials on the particles. We show that the energy at small separation $h$ has a singular logarithmic dependence on $h$. We derive a general form for this energy in terms of the singular capacitance of two spheres in near contact $c(h)$, together with nonsingular geome...

  19. Model-based clustering of array CGH data

    Shah, Sohrab P.; Cheung, K-John; Johnson, Nathalie A.; Alain, Guillaume; Gascoyne, Randy D.; Horsman, Douglas E.; Ng, Raymond T.; Murphy, Kevin P.

    2009-01-01

    Motivation: Analysis of array comparative genomic hybridization (aCGH) data for recurrent DNA copy number alterations from a cohort of patients can yield distinct sets of molecular signatures or profiles. This can be due to the presence of heterogeneous cancer subtypes within a supposedly homogeneous population. Results: We propose a novel statistical method for automatically detecting such subtypes or clusters. Our approach is model based: each cluster is defined in terms of a sparse profile...

  20. Clustering-based approaches to SAGE data mining

    Wang Haiying; Zheng Huiru; Azuaje Francisco

    2008-01-01

    Abstract Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical applications, such as the prediction of new gene functions and the identification of biomarkers in human cancer research. Clustering techniques have become fundamental approaches in these applications. This paper reviews relevant clustering techniques specifically designed for this type of data. It places an emph...

  1. The Cluster Substructure - Alignment Connection

    Plionis, M

    2002-01-01

    Using the APM cluster data we investigate whether the dynamical status of clusters is related to the large-scale structure of the Universe. We find that cluster substructure is strongly correlated with the tendency of clusters to be aligned with their nearest neighbour and in general with the nearby clusters that belong to the same supercluster. Furthermore, dynamically young clusters are more clustered than the overall cluster population. These are strong indications that cluster develop in a hierarchical fashion by anisotropy merging along the large-scale filamentary superclusters within which they are embedded.

  2. CANE: The Content Addressed Network Environment

    Gardner-Stephen, Paul

    2007-01-01

    The fragmented nature and asymmetry of local and remote file access and network access, combined with the current lack of robust authenticity and privacy, hamstrings the current internet. The collection of disjoint and often ad-hoc technologies currently in use are at least partially responsible for the magnitude and potency of the plagues besetting the information economy, of which spam and email borne virii are canonical examples. The proposed replacement for the internet, Internet Protocol Version 6 (IPv6), does little to tackle these underlying issues, instead concentrating on addressing the technical issues of a decade ago. This paper introduces CANE, a Content Addressed Network Environment, and compares it against current internet and related technologies. Specifically, CANE presents a simple computing environment in which location is abstracted away in favour of identity, and trust is explicitly defined. Identity is cryptographically verified and yet remains pervasively open in nature. It is argued tha...

  3. Addressing food waste reduction in Denmark

    Halloran, Afton Marina Szasz; Clement, Jesper; Kornum, Niels;

    2014-01-01

    environmental challenge. Using the case of Denmark, this paper analyses causes of food waste, and discusses how different stakeholders address the prevention and reuse of the €1.18. billion of annual edible food waste. Currently, the majority of food waste is still incinerated with energy recovery. However......Global food demand is driven by population and economic growth, and urbanization. One important instrument to meet this increasing demand and to decrease the pressure on food production is to minimize food losses and food waste. Food waste and loss is a major societal, economic, nutritional and......, improvements in technology have made it more efficient to utilize food waste for biogas and compost, which improves nutrient cycling through the food system. Major efforts to address food waste in Denmark have mainly been promoted through civil society groups with governmental support, as well as by industry...

  4. FPGA Implementation of Content Addressable Memory

    A. M. V. Pathi

    2013-07-01

    Full Text Available Content Addressable Memory (CAM is a special type of computer memory used in certain very high speed searching applications. It is also known as associative memory or associative storage or associative array. Content Addressable Memory (CAM is frequently used in applications, such as lookup tables, databases, associative computing and networking, that requires high-speed searches due to its ability to improve application performance by using parallel comparison to reduce search time. Although the use of parallel comparison results in reduced search time, it also significantly increases power consumption. This project proposes a Parameter Extractor, based on ones-count approach. The major contribution of this project is that it proposed ones-count Parameter Extractor can achieve faster search capability compared to the conventional CAM

  5. Research in Danish cancer rehabilitation

    Høybye, Mette Terp; Dalton, Susanne Oksbjerg; Christensen, Jane;

    2008-01-01

    cancer survivors with respect to cancer site, sociodemographic variables, social network, lifestyle, self-rated health and the prevalence of cancer-related late effects. The study is part of the FOCARE research project, in which the long-term effects of the rehabilitation programme are evaluated...... rate at baseline was 86% (n = 1876). Most participants were younger women with breast cancer. They were generally well educated and working. The cancer survivors reported having comprehensive social networks and being physically active. Several cancer-related symptoms were reported by women with...... site, sex, age, family, working status and social position. These challenges might be addressed optimally in multi-dimensional rehabilitation programmes....

  6. Mixed-Initiative Clustering

    Huang, Yifen

    2010-01-01

    Mixed-initiative clustering is a task where a user and a machine work collaboratively to analyze a large set of documents. We hypothesize that a user and a machine can both learn better clustering models through enriched communication and interactive learning from each other. The first contribution or this thesis is providing a framework of…

  7. Density Adaptive Parallel Clustering

    La Rocca, Marcello

    2014-01-01

    In this paper we are going to introduce a new nearest neighbours based approach to clustering, and compare it with previous solutions; the resulting algorithm, which takes inspiration from both DBscan and minimum spanning tree approaches, is deterministic but proves simpler, faster and doesnt require to set in advance a value for k, the number of clusters.

  8. Star Formation in Clusters

    Larsen, S S

    2004-01-01

    HST is very well tailored for observations of extragalactic star clusters. One obvious reason is HST's high spatial resolution, but equally important is the wavelength range offered by the instruments on board HST, in particular the blue and near-UV coverage which is essential for age-dating young clusters. HST observations have helped establish the ubiquity of young massive clusters (YMCs) in a wide variety of star-forming environments, from dwarf galaxies and spiral disks to nuclear starbursts and mergers. These YMCs have masses and sizes similar to those of old globular clusters (GCs), and the two may be closely related. A large fraction of all stars seem to be born in clusters, but most clusters disrupt rapidly and the stars disperse to become part of the field population. In most cases studied to date the luminosity functions of young cluster systems are well fit by power-laws dN(L)/dL ~ L^-2, and the luminosity of the brightest cluster can (with few exceptions) be predicted from simple sampling statisti...

  9. Coma cluster of galaxies

    1999-01-01

    Atlas Image mosaic, covering 34' x 34' on the sky, of the Coma cluster, aka Abell 1656. This is a particularly rich cluster of individual galaxies (over 1000 members), most prominently the two giant ellipticals, NGC 4874 (right) and NGC 4889 (left). The remaining members are mostly smaller ellipticals, but spiral galaxies are also evident in the 2MASS image. The cluster is seen toward the constellation Coma Berenices, but is actually at a distance of about 100 Mpc (330 million light years, or a redshift of 0.023) from us. At this distance, the cluster is in what is known as the 'Hubble flow,' or the overall expansion of the Universe. As such, astronomers can measure the Hubble Constant, or the universal expansion rate, based on the distance to this cluster. Large, rich clusters, such as Coma, allow astronomers to measure the 'missing mass,' i.e., the matter in the cluster that we cannot see, since it gravitationally influences the motions of the member galaxies within the cluster. The near-infrared maps the overall luminous mass content of the member galaxies, since the light at these wavelengths is dominated by the more numerous older stellar populations. Galaxies, as seen by 2MASS, look fairly smooth and homogeneous, as can be seen from the Hubble 'tuning fork' diagram of near-infrared galaxy morphology. Image mosaic by S. Van Dyk (IPAC).

  10. Computing upper cluster algebras

    Matherne, Jacob; Muller, Greg

    2013-01-01

    This paper develops techniques for producing presentations of upper cluster algebras. These techniques are suited to computer implementation, and will always succeed when the upper cluster algebra is totally coprime and finitely generated. We include several examples of presentations produced by these methods.

  11. Cluster growth kinetics

    Processes of some traffic blocking coming into existence are considered as probabilistic ones. We study analytic solutions for models for the dynamics of both cluster growth and cluster growth with fragmentation in the systems of finite number of objects. Assuming rates constancy of both coalescence and fragmentation, the models under consideration are linear on the probability functions

  12. Clustering Text Data Streams

    Yu-Bao Liu; Jia-Rong Cai; Jian Yin; Ada Wai-Chee Fu

    2008-01-01

    Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organization and topic detection and tracing etc. However, most methods are similarity-based approaches and only use the TF*IDF scheme to represent the semantics of text data and often lead to poor clustering quality. Recently, researchers argue that semantic smoothing model is more efficient than the existing TF.IDF scheme for improving text clustering quality. However, the existing semantic smoothing model is not suitable for dynamic text data context. In this paper, we extend the semantic smoothing model into text data streams context firstly. Based on the extended model, we then present two online clustering algorithms OCTS and OCTSM for the clustering of massive text data streams. In both algorithms, we also present a new cluster statistics structure named cluster profile which can capture the semantics of text data streams dynamically and at the same time speed up the clustering process. Some efficient implementations for our algorithms are also given. Finally, we present a series of experimental results illustrating the effectiveness of our technique.

  13. Phases of cluster states

    The question of phases and phase transitions of cluster states is reviewed. First some features of the vibron model are recalled, then its extensions are investigated. Preliminary results are also presented from a study on the cluster-shell competition. (authors)

  14. Illinois' Career Cluster Model

    Jankowski, Natasha A.; Kirby, Catherine L.; Bragg, Debra D.; Taylor, Jason L.; Oertle, Kathleen M.

    2009-01-01

    This booklet provides information to multiple stakeholders on the implementation of career clusters in Illinois. The booklet is an extension of the previous edition titled "An Introduction to Illinois CTE Programs of Study" (2008), and provides a resource for partners to understand Illinois' Career Cluster Model as its own adaptation of the…

  15. Calixarene-supported clusters

    Taylor, Stephanie M.; McIntosh, Ruaraidh D.; Piligkos, Stergios; Dalgarno, Scott J.; Brechin, Euan K.

    2012-01-01

    A combination of complementary cluster ligands results in the formation of a new calixarene-supported ferromagnetic [Mn(5)] cage that displays the characteristic bonding modes of each support.......A combination of complementary cluster ligands results in the formation of a new calixarene-supported ferromagnetic [Mn(5)] cage that displays the characteristic bonding modes of each support....

  16. Brightest Cluster Galaxy Identification

    Leisman, Luke; Haarsma, D. B.; Sebald, D. A.; ACCEPT Team

    2011-01-01

    Brightest cluster galaxies (BCGs) play an important role in several fields of astronomical research. The literature includes many different methods and criteria for identifying the BCG in the cluster, such as choosing the brightest galaxy, the galaxy nearest the X-ray peak, or the galaxy with the most extended profile. Here we examine a sample of 75 clusters from the Archive of Chandra Cluster Entropy Profile Tables (ACCEPT) and the Sloan Digital Sky Survey (SDSS), measuring masked magnitudes and profiles for BCG candidates in each cluster. We first identified galaxies by hand; in 15% of clusters at least one team member selected a different galaxy than the others.We also applied 6 other identification methods to the ACCEPT sample; in 30% of clusters at least one of these methods selected a different galaxy than the other methods. We then developed an algorithm that weighs brightness, profile, and proximity to the X-ray peak and centroid. This algorithm incorporates the advantages of by-hand identification (weighing multiple properties) and automated selection (repeatable and consistent). The BCG population chosen by the algorithm is more uniform in its properties than populations selected by other methods, particularly in the relation between absolute magnitude (a proxy for galaxy mass) and average gas temperature (a proxy for cluster mass). This work supported by a Barry M. Goldwater Scholarship and a Sid Jansma Summer Research Fellowship.

  17. Management of cluster headache

    Tfelt-Hansen, Peer C; Jensen, Rigmor H

    2012-01-01

    should be checked with an ECG. At the start of a cluster, transitional preventive treatment such as corticosteroids or greater occipital nerve blockade can be given. In CCH and in long-standing clusters of ECH, lithium, methysergide, topiramate, valproic acid and ergotamine tartrate can be used as add...

  18. Blue emitting undecaplatinum clusters

    Chakraborty, Indranath; Bhuin, Radha Gobinda; Bhat, Shridevi; Pradeep, T.

    2014-07-01

    A blue luminescent 11-atom platinum cluster showing step-like optical features and the absence of plasmon absorption was synthesized. The cluster was purified using high performance liquid chromatography (HPLC). Electrospray ionization (ESI) and matrix assisted laser desorption ionization (MALDI) mass spectrometry (MS) suggest a composition, Pt11(BBS)8, which was confirmed by a range of other experimental tools. The cluster is highly stable and compatible with many organic solvents.A blue luminescent 11-atom platinum cluster showing step-like optical features and the absence of plasmon absorption was synthesized. The cluster was purified using high performance liquid chromatography (HPLC). Electrospray ionization (ESI) and matrix assisted laser desorption ionization (MALDI) mass spectrometry (MS) suggest a composition, Pt11(BBS)8, which was confirmed by a range of other experimental tools. The cluster is highly stable and compatible with many organic solvents. Electronic supplementary information (ESI) available: Details of experimental procedures, instrumentation, chromatogram of the crude cluster; SEM/EDAX, DLS, PXRD, TEM, FT-IR, and XPS of the isolated Pt11 cluster; UV/Vis, MALDI MS and SEM/EDAX of isolated 2 and 3; and 195Pt NMR of the K2PtCl6 standard. See DOI: 10.1039/c4nr02778g

  19. Melting of graphene clusters

    Singh, Sandeep Kumar; Neek-Amal, M.; Peeters, F. M.

    2013-01-01

    Density-functional tight-binding and classical molecular dynamics simulations are used to investigate the structural deformations and melting of planar carbon nano-clusters $C_{N}$ with N=2-55. The minimum energy configurations for different clusters are used as starting configuration for the study of the temperature effects on the bond breaking/rotation in carbon lines (N$

  20. Cold cluster ferromagnetism

    Bertsch, G.F. [Washington Univ., Seattle, WA (United States). Inst. for Nuclear Theory; Yabana, K. [Niigata Univ. (Japan). Dept. of Physics

    1993-12-31

    We examine the magnetic moment distribution of ferromagnetic clusters under conditions where the magnetic moment is aligned with the internal cluster axis. Analytic expressions are obtained for the moment distribution and the adiabatic average moment induced in low fields. The result differs from the low-field Langevin function by a factor 2/3.