1,815 research outputs found
Combined sensitivity to the neutrino mass ordering with JUNO, the IceCube Upgrade, and PINGU
The ordering of the neutrino mass eigenstates is one of the fundamental open questions in neutrino physics. While current-generation neutrino oscillation experiments are able to produce moderate indications on this ordering, upcoming experiments of the next generation aim to provide conclusive evidence. In this paper we study the combined performance of the two future multi-purpose neutrino oscillation experiments JUNO and the IceCube Upgrade, which employ two very distinct and complementary routes toward the neutrino mass ordering. The approach pursued by the 20 kt medium-baseline reactor neutrino experiment JUNO consists of a careful investigation of the energy spectrum of oscillated produced by ten nuclear reactor cores. The IceCube Upgrade, on the other hand, which consists of seven additional densely instrumented strings deployed in the center of IceCube DeepCore, will observe large numbers of atmospheric neutrinos that have undergone oscillations affected by Earth matter. In a joint fit with both approaches, tension occurs between their preferred mass-squared differences within the wrong mass ordering. In the case of JUNO and the IceCube Upgrade, this allows to exclude the wrong ordering at on a timescale of 3–7 years—even under circumstances that are unfavorable to the experiments’ individual sensitivities. For PINGU, a 26-string detector array designed as a potential low-energy extension to IceCube, the inverted ordering could be excluded within 1.5 years (3 years for the normal ordering) in a joint analysis
Co-authorship Network of Scientometrics Research Collaboration
This paper examines the co-authorship network in the field of scientometrics using social network analysis techniques with the aim of developing an understanding of research collaboration in this scientific community. Using co-authorship data from 3125 articles published in the journal Scientometrics with a time span of more than three decades (1980-2012), we construct an evolving co-authorship network and calculate three centrality measures (closeness, betweenness, and degree) for 3024 authors, 1207 institutions, 68 countries and 22 academic fields in this network. This paper also discusses the usability of centrality measures in author ranking, and suggests that centrality measures can be useful indicators for impact analysis. Findings revealed that scientometrics was not dominated by a couple of key researchers as quite a significant number of popular researchers were identified. The United States occupies the topmost position in all measures except for degree centrality. The most active, central and collaborative academic discipline in scientometrics is Information & Library Science
Lessons learnt from 10 years of ENEN collaboration: from a knowledge to an end-user driven approach
This paper collects contributions received by some of the scientists and teachers who soundly contributed to the development of the European Nuclear Education Network Association (ENEN). A paper presented at this FISA 2013 Conference is describing the main achievements of ENEN in a more systematic way; here, emphasis is given to the meaning that these achievements had for different Countries and to the personal experience of the main actors in these developments, i.e., the founding members. The number of contributions received for this paper is less than could have been collected: timing and engagement restrictions made not possible to contact all the involved persons and some of the contacted ones were not in the position to answer in the short time allowed for setting up the paper. However, nobody should feel excluded and the adopted generic authorship actually reflects this intention. While the main body of the paper contains the contributions received from some founding members, the Introduction and the Conclusion are by the first author who, with little merit, inherited the Association to be taken care of as its President
Dialogue and Collaboration in the Creation of New Works for Clarinet
This PhD thesis explores dialogue-based, “intimate” collaboration through the creation of new works for clarinet. It borrows from Grounded Theory in order to facilitate an analysis through which emergent themes within a dialogue-based
collaboration are discovered. The aim has not been to insist on one model of collaboration, but to discover methods for improving one’s collaborative skills and to identify ways in which one benefits from a focus on dialogue in
collaboration. Furthermore, it aims to suggest that through collaboration one can make discoveries about the instrument: original contributions to clarinet technique are made within this thesis. The literature from which the research draws inspiration to further collaborative “technique” is cross-disciplinary and wide-ranging: it draws from social theory, collaborative creative writing, dance, the visual arts and of course, music. Added to this is a select discussion of collaboration throughout the repertoire of the clarinet. Finally, this consists of practice-based research. Seven new pieces for clarinet accompany the text
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Combined sensitivity to the neutrino mass ordering with JUNO, the IceCube Upgrade, and PINGU
The ordering of the neutrino mass eigenstates is one of the fundamental open questions in neutrino physics. While current-generation neutrino oscillation experiments are able to produce moderate indications on this ordering, upcoming experiments of the next generation aim to provide conclusive evidence. In this paper we study the combined performance of the two future multi-purpose neutrino oscillation experiments JUNO and the IceCube Upgrade, which employ two very distinct and complementary routes toward the neutrino mass ordering. The approach pursued by the 20 kt medium-baseline reactor neutrino experiment JUNO consists of a careful investigation of the energy spectrum of oscillated ?e produced by ten nuclear reactor cores. The IceCube Upgrade, on the other hand, which consists of seven additional densely instrumented strings deployed in the center of IceCube DeepCore, will observe large numbers of atmospheric neutrinos that have undergone oscillations affected by Earth matter. In a joint fit with both approaches, tension occurs between their preferred mass-squared differences ?m312=m32-m12 within the wrong mass ordering. In the case of JUNO and the IceCube Upgrade, this allows to exclude the wrong ordering at >5s on a timescale of 3-7 years - even under circumstances that are unfavorable to the experiments' individual sensitivities. For PINGU, a 26-string detector array designed as a potential low-energy extension to IceCube, the inverted ordering could be excluded within 1.5 years (3 years for the normal ordering) in a joint analysis
Combined sensitivity to the neutrino mass ordering with JUNO, the IceCube Upgrade, and PINGU
The ordering of the neutrino mass eigenstates is one of the fundamental open questions in neutrino physics. While current-generation neutrino oscillation experiments are able to produce moderate indications on this ordering, upcoming experiments of the next generation aim to provide conclusive evidence. In this paper we study the combined performance of the two future multi-purpose neutrino oscillation experiments JUNO and the IceCube Upgrade, which employ two very distinct and complementary routes toward the neutrino mass ordering. The approach pursued by the 20 kt medium-baseline reactor neutrino experiment JUNO consists of a careful investigation of the energy spectrum of oscillated ?e produced by ten nuclear reactor cores. The IceCube Upgrade, on the other hand, which consists of seven additional densely instrumented strings deployed in the center of IceCube DeepCore, will observe large numbers of atmospheric neutrinos that have undergone oscillations affected by Earth matter. In a joint fit with both approaches, tension occurs between their preferred mass-squared differences ?m312=m32-m12 within the wrong mass ordering. In the case of JUNO and the IceCube Upgrade, this allows to exclude the wrong ordering at >5s on a timescale of 3-7 years - even under circumstances that are unfavorable to the experiments' individual sensitivities. For PINGU, a 26-string detector array designed as a potential low-energy extension to IceCube, the inverted ordering could be excluded within 1.5 years (3 years for the normal ordering) in a joint analysis
Advancing Nursing Practice in Vietnam: An International Collaboration to Improve Quality
abstract: International partnerships offer opportunities for healthcare professionals to promote evidence-based nursing in underdeveloped countries. When international collaboration is utilized among nurses in developing countries the clinical outcomes may be improved. This project focused on collaboration with nurse colleagues in Hanoi, Vietnam to support an internally identified quality improvement process and leadership development. Collaboration occurred in a large inpatient medical center between the author and nursing shared governance team members representing the General Surgical, Neuro Surgical, and Intensive Care Units. The nursing collaboration over 9 months concluded with an onsite visit by 5 members of a diverse group from the United States. The shared governance team reported an overall increase in nursing knowledge and skill regarding urinary catheter maintenance and care
Influence of collaboration on the management of BIM-based construction projects: An analysis of the perspectives of project team members
The AEC industry has shown a slower development when compared to other industries, this has aroused interest among researchers to help the industry achieve its objectives. As a result, one important contribution to the industry has been proven to be the encouragement of effective collaboration among project team members, which in fact, is considered as a central element of success in construction projects. Additionally, the birth of new technologies like BIM has facilitated these collaborative practices among team members. Researchers have focused on the technical aspects of BIM itself, and not enough attention has been given to the collaborative aspects of its use. Consequently, this research has focused on studying the collaborative aspects of the use of BIM in construction projects, with the objective of enriching current literature about the topic. More specifically, on the identification of perspectives that members of project teams have on the most important features of BIM collaboration, with the intention of understanding the feeling of members in order to approach to them in a more accurate way, which will more likely engage members in a collaborative environment. In order to identify the perspectives, Q-methodology has been used. A list of 29 statements were sorted by 15 selected participants from different organizations in The Netherlands, which are currently involved in the execution of construction projects. The analysis of the collected data was performed, which gave sufficient information to identify the existence of three perspectives among fourteen participants, while one participant was considered as a non-loader since his perspective did not show any link to the other perspectives. The identified perspectives were named as follows: Protocol Sticklers, Team-Oriented and Task-Oriented. The analysis of each perspective led to propose a framework that consists of: first, the performance of a thorough analysis to identify the perspectives of each member of a project team. Secondly, the strategy adopted to engage team members in a collaborative environment, should consider a combination of the suggested actions in order to guarantee the existence of the necessary antecedents for effective collaboration in BIM-based projects. However, the use of the framework will depend on the perspective that each member has, trying to make use of their perceived importance of a certain aspect of collaboration to share with the rest of the team, as well as working on the aspects they believe to be of less importance, in order to highlight the benefits of its implementation and engage them to promote a collaborative environment.Civil Engineering | Construction Management and Engineerin
IPPOG Collaboration Author List 2024
The International Particle Physics Outreach Group is a network of scientists, science educators and communication specialists created in 1997 to demonstrate the need and importance of outreach in science in general and High Energy Particle Physics in particular. Collaboration members are grouped into an informal discussion body called the IPPOG forum, and are offered the possibility to become IPPOG authors. The present list will be updated once per year, to reflect the collaboration evolution
Assessing Research Collaboration through Co-authorship Network Analysis
This is the final version. Available from Society of Research Administrators International via the link in this recordMaterial used with permission from Society of Research Administrators InternationalInterdisciplinary research collaboration is needed to perform transformative science and accelerate innovation. The Science of Team Science strives to investigate, evaluate, and foster team science, including institutional policies that may promote or hinder collaborative interdisciplinary research and the resources and infrastructure needed to promote team science within and across institutions. Social network analysis (SNA) has emerged as a useful method to measure interdisciplinary science through the evaluation of several types of collaboration networks, including co-authorship networks. Likewise, research administrators are responsible for conducting rigorous evaluation of policies and initiatives. Within this paper, we present a case study using SNA to evaluate interprogrammatic collaboration (evidenced by co-authoring scientific papers) from 2007-2014 among scientists who are members of four formal research programs at an NCI-designated Cancer Center, the Markey Cancer Center (MCC) at the University of Kentucky. We evaluate change in network descriptives over time and implement separable temporal exponential-family random graph models (STERGMs) to estimate the effect of author and network variables on the tendency to form a co-authorship tie. We measure the diversity of the articles published over time (Blau's Index) to understand whether the changes in the co-authorship network are reflected in the diversity of articles published by research members. Over the 8-year period, we found increased inter-programmatic collaboration among research members as evidenced by co-authorship of published scientific papers. Over time, MCC Members collaborated more with others outside of their research program and outside their initial dense co-authorship groups, however tie formation continues to be driven by co-authoring with individuals of the same research program and academic department. Papers increased in diversity over time on all measures with the exception of author gender. This inter-programmatic research was fostered by policy changes in cancer center administration encouraging interdisciplinary research through both informal (e.g., annual retreats, seminar series) and formal (e.g., requiring investigators from more than two research programs on applications for pilot funding) means. Within this cancer center, interdisciplinary co-authorship increased over time as policies encouraging this collaboration were implemented. Yet, there is room for improvement in creating more interdisciplinary and diverse ties between research program members.This research was supported by the Research Communications Office as well as the Biostatistics
and Bioinformatics and the Cancer Research Informatics Shared Resources of the University
of Kentucky Markey Cancer Center, funded by the National Cancer Institute Cancer Center
Support Grant (P30CA177558). Dr. Eddens’ contribution was supported in part by a Building
Interdisciplinary Research Careers in Women’s Health grant (#K12 DA035150) from the Office of
Women’s Health Research, administered by the Department of Obstetrics and Gynecology of the
College of Medicine, University of Kentucky. Dr. Vanderford is supported
by the University of Kentucky’s Cancer Center Support Grant (NCI P30CA177558) and the
Center for Cancer and Metabolism (NIGMS P20GM121327)
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