1,245 research outputs found
About twin primes and distribution of primes
No full textThis paper give us a demonstration of twin primes conjecture using approximation of function �(iupsilon) that we introduce in section 6. Section 1-5 give us introduction to terminology and a clarification on (iupsilon) terms. In particular section
5 is really important because of its Lemma. Section 7 reassume foregoing explanations and it give us two theorems and one corollary;the theorem 7.2 give us exact approximation of twin primes counting function
Established and Outsiders at the Same Time - Self-Images and We-Images of Palestinians in the West Bank and in Israel
No full textPalestinians frequently present a harmonizing and homogenizing we-image of their own national we-group, as a way of counteracting Israeli attempts to sow divisions among them, whether through Israeli politics or through the dominant public discourse in Israel. However, a closer look reveals the fragility of this homogenizing we-image which masks a variety of internal tensions and conflicts. By applying methods and concepts from biographical research and figurational sociology, the articles in this volume offer an analysis of the Middle East conflict that goes beyond the polar opposition between “Israelis” and “Palestinians”. On the basis of case studies from five urban regions in Palestine and Israel (Bethlehem, Ramallah, East Jerusalem, Haifa and Jaffa), the authors explore the importance of belonging, collective self-images and different forms of social differentiation within Palestinian communities. For each region this is bound up with an analysis of the relevant social and socio-political contexts, and family and life histories. The analysis of (locally) different figurations means focusing on the perspective of Palestinians as members of different religious, socio-economic, political or generational groupings and local group constellations – for instance between Christians and Muslims or between long-time residents and refugees. The following scholars have contributed to this volume: Ahmed Albaba, Johannes Becker, Hendrik Hinrichsen, Gabriele Rosenthal, Nicole Witte, Arne Worm and Rixta Wundrak. Gabriele Rosenthal is a sociologist and professor of Qualitative Methodology at the Center of Methods in Social Sciences, University of Göttingen. Her major research focus is the intergenerational impact of collective and familial history on biographical structures and actional patterns of individuals and family systems. Her current research deals with ethnicity, ethno-political conflicts and the social construction of borders. She is the author and editor of numerous books, including The Holocaust in Three Generations (2009), Interpretative Sozialforschung (2011) and, together with Artur Bogner, Ethnicity, Belonging and Biography (2009)
Gendered Adaptations: Canadian Rewritings of Classical Texts. Author-Translator Conference 2010, University of Swansea, Wales
No full textQuantum many-body scars : realizations and applications
No full textauthor: Gabriele Calliari, BScMasterarbeit Universität Innsbruck 202
The Last Bastion of Architecture
No full textThe essay is a critical interpretation of Rem Koolhaas' theory of Bigness. In fact, of the theories that have best marked the development of architectural culture since World War II – from those of the Smithsons to Rossi, from Eisenman to Venturi and Scott Brown – Rem Koolhaas’s theory of Bigness has probably, more than any other, investigated the intrinsic possibilities of architecture at the end of the 20th century. In light of the number of pseudotheories that have largely characterized the last decade, Bigness is the last constituent fact of recent history: an extremely lucid attempt to draw to a conclusion a history that goes back to the very invention of the modern city, comparing it with architecture’s own immutable core, its physicality, even exposing the theory of Bigness itself to the risk of total failure. The essay investigates the development of the theory of Bigness from its incubation in Koolhaas’s book Delirious New York in 1978, to the "official" presentation in S,M,L,XL in december 1995. The essay presents some parts of the PhD research "L'architettura dei libri. Progetto, scrittura, editoria nella ricerca architettonica contemporanea", developed by the author at Università degli studi G. D'Annunzio, Chieti, Facoltà di Architettura di Pescara, in 2001-2004.
Log 7 Winter/Spring 2006 includes essays of Richard Anderson, Marie J. Aquilino, Amos Gitai, Pier Vittorio Aureli, Manuel Orazi, Jean-Louis Cohen, William Drenttel, Peter Eisenman, Luis Fernandez-Galiano, John Kaliski, Sabir Khan, Reinhold Martin, Gabriele Mastrigli, Deborah Richmond, Julie Rose, Paul Virilio, Eyal Weizman, Mirko Zardini.
Log 7
Winter/Spring 2006
Co-edited by Denise Bratton
Saggi di Richard Anderson, Marie J. Aquilino, Amos Gitai,
Pier Vittorio Aureli, Manuel Orazi, Jean-Louis Cohen, William Drenttel, Peter Eisenman, Luis Fernandez-Galiano, John Kaliski, Sabir Khan, Reinhold Martin, Gabriele Mastrigli, Deborah Richmond, Julie Rose, Paul Virilio, Eyal Weizman, Mirko Zardini
Quantum many-body scars : realizations and applications
No full textauthor: Gabriele Calliari, BScMasterarbeit Universität Innsbruck 202
Quantum many-body scars : realizations and applications
No full textauthor: Gabriele Calliari, BScMasterarbeit Universität Innsbruck 202
PhyliCS: a Python library to explore scCNA data and quantify spatial tumor heterogeneity
No full textAbstract Background Tumors are composed by a number of cancer cell subpopulations (subclones), characterized by a distinguishable set of mutations. This phenomenon, known as intra-tumor heterogeneity (ITH), may be studied using Copy Number Aberrations (CNAs). Nowadays ITH can be assessed at the highest possible resolution using single-cell DNA (scDNA) sequencing technology. Additionally, single-cell CNA (scCNA) profiles from multiple samples of the same tumor can in principle be exploited to study the spatial distribution of subclones within a tumor mass. However, since the technology required to generate large scDNA sequencing datasets is relatively recent, dedicated analytical approaches are still lacking. Results We present PhyliCS, the first tool which exploits scCNA data from multiple samples from the same tumor to estimate whether the different clones of a tumor are well mixed or spatially separated. Starting from the CNA data produced with third party instruments, it computes a score, the Spatial Heterogeneity score, aimed at distinguishing spatially intermixed cell populations from spatially segregated ones. Additionally, it provides functionalities to facilitate scDNA analysis, such as feature selection and dimensionality reduction methods, visualization tools and a flexible clustering module. Conclusions PhyliCS represents a valuable instrument to explore the extent of spatial heterogeneity in multi-regional tumour sampling, exploiting the potential of scCNA data
Effective evaluation of clustering algorithms on single-cell CNA data
No full textClustering methods are increasingly applied to single-cell DNA sequencing (scDNAseq) data to infer the subclonal structure of cancer. However, the complexity of these data exacerbates some data-science issues and affects clustering results. Additionally, determining whether such inferences are accurate and clusters recapitulate the real cell phylogeny is not trivial, mainly because ground truth information is not available for most experimental settings. Here, by exploiting simulated sequencing data representing known phylogenies of cancer cells, we propose a formal and systematic assessment of well-known clustering methods to study their performance and identify the approach providing the most accurate reconstruction of phylogenetic relationships
Single-cell DNA Sequencing Data: a Pipeline for Multi-Sample Analysis
No full textNowadays, single-cell DNA (sc-DNA) sequencing is showing up to be a valuable instrument to investigate intra and inter-tumor heterogeneity and infer its evolutionary dynamics, by using the high-resolution data it produces. That is why the demand for analytical tools to manage this kind of data is increasing. Here we propose a pipeline capable of producing multi-sample copy-number variation (CNV) analysis on large-scale single-cell DNA sequencing data and investigate spatial and temporal tumor heterogeneity
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