scholarly journals The Use of Blocking Sets in Galois Geometries and in Related Research Areas

Author(s):  
V. Pepe ◽  
L. Storme
2015 ◽  
Vol 16 (1) ◽  
pp. 9-21 ◽  
Author(s):  
Nicole Graulich

Organic chemistry education is one of the youngest research areas among all chemistry related research efforts, and its published scholarly work has become vibrant and diverse over the last 15 years. Research on problem-solving behavior, students' use of the arrow-pushing formalism, the investigation of students' conceptual knowledge and their cognitive skills have shaped our understanding of college students' understanding in organic chemistry classes. This review provides an overview of research efforts focusing on student's perspectives and summarizes the main results and pending questions that may guide subsequent research activities.


2020 ◽  
Vol 12 (16) ◽  
pp. 6561 ◽  
Author(s):  
Doyeon Lee ◽  
Jongseok Kang ◽  
Keunhwan Kim

In the post-COVID-19 era, virology-related research, which not only depends on the governments as its main source of funding but also requires international and interdisciplinary collaborations, is recognized as an essential defense for sustainability. Few published studies have examined the trend, but only for certain viruses before the mid-2010s. Moreover, it is challenging to define generally accepted virology-related research fields due to its broad spectrum. Thus, it is time that we confront the unprecedented pandemic to understand the status of nationally supported projects in developed nations to establish international collaborative research strategies from an interdisciplinary perspective. In this study, 32,365 national-funded projects were collected from the US, EU, and Japan and assigned to five scientific fields to conduct a cluster analysis. Then, an expert-based approach was utilized to define an individual cluster. Moreover, a comparative analysis between nations was carried out to determine if there was a competitive edge for collaboration. As a result, a framework for virology-related research areas was constructed to provide the status quo and differences between nations’ research capabilities, thereby eliciting practical global research and development (R&D) cooperation to achieve a common agenda and a direction for goals in the post-COVID-19 era. These findings have implications for viral response R&D, policy, and practice for future pandemics. A systematic approach based on scientific evidence and an R&D collaboration strategy between industry and academia is essential to resolve the interdisciplinary barriers between countries and promote sustainable virus R&D collaboration.


Author(s):  
Kia Ng ◽  
Paolo Nesi

The MUSICNETWORK project was co-supported by the European Commission to bring music industry and related research areas into the interactive multimedia era. It represented a virtual Centre of Excellence during the period of the project and today an international association where music content providers, cultural institutions, industry, and research institutions work together, drawing on their collective assets and mutual interests, to exploit the potential of multimedia music contents with new technologies, tools, products, formats and models. Due to large gaps between needs and real products and solutions, many products in the market fail to exploit the potential of new multimedia technologies effectively. MUSICNETWORK helps research solutions to reach the market by seeking agreements between different actors and formats, by bringing together research institutions, industries, Small and Medium Enterprises (SMEs), and experts to build the required momentum to study and define multimedia music modelling and coding for the new age. MUSICNETWORK activities, actions and services are provided through the project website which can be found online at http://www.interactivemusicnetwork.org.


2019 ◽  
Vol 122 (1) ◽  
pp. 159-213
Author(s):  
Anna Kiss ◽  
Péter Fritz ◽  
Zoltán Lakner ◽  
Sándor Soós

AbstractMapping the intellectual structure and dynamics of complex, multidisciplinary domains has long been a challenging task for bibliometrics. Research subjects with outstanding social relevance are typically of this sort, being multifaceted and requiring a synthesis of various field-specific perspectives. Among such subjects, our work addresses policy-related research on obesity, and aims to uncover how this multilevel issue is represented in policy studies through its dense thematic interrelations, and at the interfaces of various research areas participating in the discourse. In doing so, we propose an analytic framework combining so-called hybrid methods of science mapping with the (traditional) use of alluvial diagrams, resulting in what we refer to as “multicluster topics” and “interdisciplinarity maps”. Therefore, the contribution of this paper can be considered both at the subject and at the methodological level.


2020 ◽  
Vol 73 ◽  
pp. 01008
Author(s):  
Jakub Horák ◽  
Jaromír Vrbka ◽  
Tomáš Krulický

The objective of the contribution is to identify a possible relationship between the development of the price of Brent oil (Brent in USD/barrel) and the CNY / USD Exchange rate by means of artificial neural networks. Understanding future fluctuation characteristics and the trend in oil prices is the basis for a deep understanding of systemic mechanisms and trends in related research areas. However, given the complexities of oil prices, it is very difficult to obtain accurate forecasts. Within the experiment, a total of 50,000 artificial RBF neural networks were generated. Was found the CNY / USD price will play a significant role in creating China's real product. Given that it was already proven that the CNY / USD exchange depends on Brent in USD / barrel, it is important to focus the further research on finding out the time lag with which the price of Brent in USD / barrel is actually reflected in the price of CNY / USD.


2016 ◽  
Author(s):  
Angelo A Salatino ◽  
Francesco Osborne ◽  
Enrico Motta

The ability to recognise new research trends early is strategic for many stakeholders, such as academics, institutional funding bodies, academic publishers and companies. While the state of the art presents several works on the identification of novel research topics, detecting the emergence of a new research area at a very early stage, i.e., when the area has not been even explicitly labelled and is associated with very few publications, is still an open challenge. This limitation hinders the ability of the aforementioned stakeholders to timely react to the emergence of new areas in the research landscape. In this paper, we address this issue by hypothesising the existence of an embryonic stage for research topics and by suggesting that topics in this phase can actually be detected by analysing diachronically the co-occurrence graph of already established topics. To confirm our hypothesis, we performed a study of the dynamics preceding the creation of novel topics. This analysis showed that the emergence of new topics is actually anticipated by a significant increase of the pace of collaboration and density in the co-occurrence graphs of related research areas. These findings are very relevant to a number of research communities and stakeholders. Firstly, they confirm the existence of an embryonic phase in the development of research topics and suggest that it might be possible to perform very early detection of research topics by taking into account the aforementioned dynamics. Secondly, they bring new empirical evidence to related theories in Philosophy of Science. Finally, they suggest that significant new topics tend to emerge in an environment in which previously less interconnected research areas start cross-fertilising.


2019 ◽  
Author(s):  
Ken Takiyama ◽  
Hikaru Yokoyama ◽  
Naotsugu Kaneko ◽  
Kimitaka Nakazawa

AbstractHow the central nervous system (CNS) controls many joints and muscles is a fundamental question in motor neuroscience and related research areas. An attractive hypothesis is the module hypothesis: the CNS controls groups of joints or muscles (i.e., spatial modules) while providing time-varying motor commands (i.e., temporal modules) to the spatial modules rather than controlling each joint or muscle separately. Another fundamental question is how the CNS generates numerous repertories of movement patterns. One hypothesis is that the CNS modulates the spatial and/or temporal modules depending on the required tasks. It is thus essential to quantify the spatial module, the temporal module, and the task-dependent modulation of those modules. Although previous methods attempted to quantify these aspects, they considered the modulation in only the spatial or temporal module. These limitations were possibly due to the constraints inherent to conventional methods for quantifying the spatial and temporal modules. Here, we demonstrate the effectiveness of tensor decomposition in quantifying the spatial module, the temporal module, and the task-dependent modulation of these modules without such limitations. We further demonstrate that the tensor decomposition provides a new perspective on the task-dependent modulation of spatiotemporal modules: in switching from walking to running, the CNS modulates the peak timing in the temporal module while recruiting proximal muscles in the corresponding spatial module.Author summaryThere are at least two fundamental questions in motor neuroscience and related research areas: 1) how does the central nervous system (CNS) control many joints and muscles and 2) how does the CNS generate numerous repertories of movement patterns. One possible answer to question 1) is that the CNS controls groups of joints or muscles (i.e., spatial modules) while providing time-varying motor commands (i.e., temporal modules) to the spatial modules rather than controlling each joint or muscle separately. One possible answer to question 2) is that the CNS modulates the spatial and/or temporal module depending on the required tasks. It is thus essential to quantify the spatial module, the temporal module, and the task-dependent modulation of those modules. Here, we demonstrate the effectiveness of tensor decomposition in quantifying the modules and those task-dependent modulations while overcoming the shortcomings inherent to previous methods. We further show that the tensor decomposition provides a new perspective on how the CNS switches between walking and running. The CNS modulated the peak timing in the temporal module while recruiting proximal muscles in the corresponding spatial module.


2021 ◽  
Vol 2063 (1) ◽  
pp. 011002

Abstract All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Double-blind • Conference submission management system: google website https://sites.google.com/uobasrah.edu.iq/3rd-ivccbasrah/english Online Conference Email: [email protected] • Number of submissions received: 65 • Number of submissions sent for review: 47 • Number of submissions accepted: 31 • Acceptance Rate (Number of Submissions Accepted/Number of Submissions Received X 100): 47.7% • Average number of reviews per paper: 2-3 Reviewers • Total number of reviewers involved: 35 • Any additional info on review process: The papers were received was evaluated using Turnitin software at Basrah University. Then the papers were sent to the reviewers of related research areas for peer-review process. The referees gave their decision (acceptance or acceptance after revisions or rejection). Rejected papers were sent back to the authors. The accepted papers by two reviewers were sent for the publications. • Contact person for queries: Prof. Dr. Salah Shaker Hashim, Dept. of Chemistry, College of Science, University of Basrah, [email protected] Mobile No.: 00964 774 070 8188


2011 ◽  
Vol 10 (4) ◽  
pp. 228-238 ◽  
Author(s):  
Jennifer Cox ◽  
Georgia Halkett ◽  
Claudia Anderson ◽  
Robert Heard

AbstractBackground and purpose: Research is increasingly important in radiation therapy, but radiation therapists (or therapy radiographers) (RTs) are relatively new to research and may have difficulty defining research topics. Our aim was to identify the group interests and focus research priorities of Australian RTs. Although not measured, an additional aim was to make RTs more aware of the relevance of RT research.Materials and methods: An Australia-wide Delphi process was used, examining the problems related to patient care, working with colleagues, and radiotherapy in general, that RTs experienced in their daily work. In an initial study, 374 problems were identified. These were translated into 53 research areas which were prioritised in the second stage of the study. Agreement between groups was analysed using a hierarchical cluster procedure and post hoc Scheffe multiple comparisons.Results: There were three groups of responders with varying degrees of research interest. There was agreed high importance (p > 0.01) for the technical aspects of radiation therapy, such as image guidance, intensity-modulated radiation therapy (IMRT) and patient positioning. There was significant disagreement (p < 0.001 to p = 0.023) between groups on the importance of patient care research.Conclusions: The strong interest in technical research is consistent with the rapid influx of technology, particularly in imaging. The disagreement on patient-related research may be of concern. The list of potential research areas specific to radiation therapy will be useful for new RT researchers to consider.


Sign in / Sign up

Export Citation Format

Share Document