569 research outputs found
Supplemental Material - Swarm analytics: Designing information markers to characterise swarm systems in shepherding contexts
Supplemental Material for Swarm analytics: Designing information markers to characterise swarm systems in shepherding contexts by Adam J Hepworth, Aya Hussein, Darryn J Reid and Hussein A Abbass in Adaptive Behavior</p
Supplementary_Figures – Supplemental material for Expression of long intergenic non-coding RNA, regulator of reprogramming, and its prognostic value in patients with glioblastoma
Supplemental material, Supplementary_Figures for Expression of long intergenic non-coding RNA, regulator of reprogramming, and its prognostic value in patients with glioblastoma by Eman A. Toraih, Aya El-Wazir, Mohammad H. Hussein, Moataz S. Khashana, Amgad Matter, Manal S. Fawzy and Somaya Hosny in The International Journal of Biological Markers</p
Supplementary_Tables – Supplemental material for Expression of long intergenic non-coding RNA, regulator of reprogramming, and its prognostic value in patients with glioblastoma
Supplemental material, Supplementary_Tables for Expression of long intergenic non-coding RNA, regulator of reprogramming, and its prognostic value in patients with glioblastoma by Eman A. Toraih, Aya El-Wazir, Mohammad H. Hussein, Moataz S. Khashana, Amgad Matter, Manal S. Fawzy and Somaya Hosny in The International Journal of Biological Markers</p
Stable Belief Estimation in Shepherd-Assisted Swarm Collective Decision Making
Swarm collective decision making refers to the case where a swarm needs to make a decision based on different pieces of evidence collected by its individuals. This problem has been investigated by several recent studies which proposed strategies to enable the swarm to perform fast and accurate collective decision making. However, the performance of these strategies (in terms of its accuracy, speed and level of consensus) suffers significantly in complex environments. The aim of our work is to propose a collective decision-making strategy that promises a consistent performance across different levels of scenario complexity and achieves superiority over the existing strategies in highly complex scenarios. To achieve this aim, our proposed algorithm employs a shepherding agent to boost the performance of the swarm. The swarm members are only responsible for sensing the state of a feature distributed in the environment. Only the shepherd needs to be able to process position and navigation abilities to collect the swarm. The algorithm consists of two phases: exploration and belief sharing. In the exploration phase, swarm members navigate through an environment and sense its features. Then, in the belief sharing phase, a shepherding agent collects the swarm members together so that they can share their estimates and calculate their decisions. The results demonstrate that the proposed shepherding algorithm succeeds across different levels of scenario complexity. Additionally, the approach achieves high levels of accuracy and consensus in complex non-homogeneous environments where the baseline state-of-the-art algorithm fails.</p
Travel literature and the development of the novel in eighteenth-century France
"Travel Literature and the Development of the Novel in Eighteenth-Century France" follows the evolution of the French novel throughout the eighteenth century by examining the epistemological, aesthetic, and literary exchanges between historiography, travel literature, and the novel, three separate yet intertwined modes of representation that were in the process of creating or recreating their modern identities through a systematization of coherent literary rules. I argue that essential changes in the conceptualization and writing of history led to similar developments in the way travel accounts were written, organized, and consumed. As travel literature strengthened its own generic distinctiveness, novelists depicting foreign characters and/or landscapes selectively appropriated the legitimating discourse of travel literature to create an autonomous literary space for the novel. As these novels emulate travel literature, they critically incorporate the problematic questions of legitimacy of travel accounts, and force the novel's claims of truth to take place within a historical methodology discourse which in turn legitimizes it, delineating distinct profiles for history and fiction alike.Ph.D.Includes bibliographical references (p. 227-251)by Aya Tanak
Analysis of the September ε-Perseid outburst in 2013
© 2018 The Author(s). Artículo firmado por 14 autores. We acknowledge support from the Spanish Ministry of Science and Innovation (projects AYA2015-68646-P and AYA 2015-67175-P).We analyze the outburst experienced by the September ε-Perseid meteor shower on 9 September 2013. As a result of our monitoring the atmospheric trajectory of 60 multistation events observed over Spain was obtained and accurate orbital data were derived from them. On the basis of these orbits, we have tried to determine the likely parent body of this meteoroid stream by employing orbital dissimilarity criteria. In addition, the emission spectra produced by two events belonging to this meteor shower were also recorded. The analysis of these spectra has provided information about the chemical nature of their progenitor meteoroids. We also present an estimation of the tensile strength for these particles.Ministerio de Ciencia e Innovación (MICINN)Depto. de Física de la Tierra y AstrofísicaFac. de Ciencias FísicasTRUEpu
Learner-Centred, Teacher-Centred and Blended Curriculum Design in Swarm Systems
Robot swarms have been used in various civilian and military applications, from entertainment to serious missions. Complex swarm tasks involve multiple interdependent skills that swarm members need to possess for successful operation. Swarm operation environments can be dynamic, noisy or with limited communication resources, which exacerbates task complexity. The non-linear interactions between swarm members make it challenging for experts to formulate agent-level rules that result in the emergence of a desirable swarm-level behaviour. Until now, there has been no general methodology that algorithm designers can follow to go from the individuals to the group behaviour. Automated swarm behaviour design has demonstrated its potential in enabling the learning of several swarm tasks. Nonetheless, incorporating human knowledge in these automated techniques is instrumental in accelerating the learning process and ensuring that the learning results in the intended behaviours. The inclusion of domain expertise in automated swarm design has mostly been conducted in an ad hoc manner without sufficiently studying how to maximise the benefit of domain expertise while not overwhelming the human expert. This chapter investigates the use of machine education as a holistic approach for teaching swarm members the required skills in complex swarm tasks. Specifically, we study various ways of designing a curriculum to systematise the process of learning and the incorporation of expert knowledge. We focus on three curriculum design approaches: learner centred, teacher centred and blended. We present case studies for each of these approaches and present the key lessons learnt and recommendations for future studies
Once were Positivists: A Reply to Aya
Tbere are two basic issues in tbis essay. The first is tbe sloppy use of tbe term
'postmodernism' to designate a more or less organised collection of unsavoury
academics, who (it is argued) subscribe to various forms of nihilism and epistemological
hypochondria for some, as-yet-to-be-determined but clearly nefarious,
ends. The exact composition of this group is left vague (although the author
clearly has bis own list). It presumably includes a fair sampling of theorists of the
French persuasion, most feminists, authors who are interested in the entwining of
power and knowledge in human life, and nearly all 'relativists' who reject monistic
certainty. For Aya, the term clearly saves time, basically by assuring himself that
there has been little really worth reading in the social sciences (at least in anthropology)
for the past quarter century or so
Clinical application of genomic profiling to find druggable targets for adolescent and young adult (AYA) cancer patients with metastasis
This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made.Background: Although adolescent and young adult (AYA) cancers are characterized by biological features and clinical outcomes distinct from those of other age groups, the molecular profile of AYA cancers has not been well defined. In this study, we analyzed cancer genomes from rare types of metastatic AYA cancers to identify driving and/or druggable genetic alterations. Methods: Prospectively collected AYA tumor samples from seven different patients were analyzed using three different genomics platforms (whole-exome sequencing, whole-transcriptome sequencing or OncoScan (TM)). Using well-known bioinformatics tools (bwa, Picard, GATK, MuTect, and Somatic Indel Detector) and our annotation approach with open access databases (DAVID and DGIdb), we processed sequencing data and identified driving genetic alterations and their druggability. Results: The mutation frequencies of AYA cancers were lower than those of other adult cancers (median = 0.56), except for a germ cell tumor with hypermutation. We identified patient-specific genetic alterations in candidate driving genes: RASA2 and NF1 (prostate cancer), TP53 and CDKN2C (olfactory neuroblastoma), FAT1, NOTCH1, and SMAD4 (head and neck cancer), KRAS (urachal carcinoma), EML4-ALK (lung cancer), and MDM2 and PTEN (liposarcoma). We then suggested potential drugs for each patient according to his or her altered genes and related pathways. By comparing candidate driving genes between AYA cancers and those from all age groups for the same type of cancer, we identified different driving genes in prostate cancer and a germ cell tumor in AYAs compared with all age groups, whereas three common alterations (TP53, FAT1, and NOTCH1) in head and neck cancer were identified in both groups. Conclusion: We identified the patient-specific genetic alterations and druggability of seven rare types of AYA cancers using three genomics platforms. Additionally, genetic alterations in cancers from AYA and those from all age groups varied by cancer type.Y
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