Ecocompositional and Performative Strategies for Creative Usage of Everyday Sounds: Creative Semantic Anchoring

Leonardo ◽  
2018 ◽  
Vol 51 (2) ◽  
pp. 195-196
Author(s):  
Damián Keller ◽  
Leonardo Feichas

The authors cover recent advances in ecologically grounded creative practice, highlighting performative strategies in instrumental writing. They address techniques adopted in ecocomposition and propose an expansion of the available resources by introducing a new method: creative semantic anchoring. The underlying concepts are presented and a case study—targeting the performative practice of Flausino Valle’s 26 Characteristic and Concert Preludes for Solo Violin—is described.

2019 ◽  
Vol 2 (2) ◽  
pp. 177-187
Author(s):  
Venessa Agusta Gogali ◽  
Fajar Muharam ◽  
Syarif Fitri

Crowdfunding is a new method in fundraising activities based online. Moreover, the level of penetration of social media to the community is increasingly high. This makes social activists and academics realize that it is important to study social media communication strategies in crowdfunding activities. There is encouragement to provide an overview of crowdfunding activities. So the author conducted a research on "Crowdfunding Communication Strategy Through Kolase.com Through Case Study on the #BikinNyata Program Through the Kolase.com Website that successfully achieved the target. Keywords: Strategic of Communication, Crowdfunding, Social Media.


Author(s):  
Abeer A. Amer ◽  
Soha M. Ismail

The following article has been withdrawn on the request of the author of the journal Recent Advances in Computer Science and Communications (Recent Patents on Computer Science): Title: Diabetes Mellitus Prognosis Using Fuzzy Logic and Neural Networks Case Study: Alexandria Vascular Center (AVC) Authors: Abeer A. Amer and Soha M. Ismail* Bentham Science apologizes to the readers of the journal for any inconvenience this may cause BENTHAM SCIENCE DISCLAIMER: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.


Author(s):  
Bruno Valle ◽  
Patrick Führ Dal’ Bó ◽  
Jeferson Santos ◽  
Lucas Aguiar ◽  
Pedro Coelho ◽  
...  

2021 ◽  
Vol 13 (5) ◽  
pp. 923
Author(s):  
Qianqian Sun ◽  
Chao Liu ◽  
Tianyang Chen ◽  
Anbing Zhang

Vegetation fluctuation is sensitive to climate change, and this response exhibits a time lag. Traditionally, scholars estimated this lag effect by considering the immediate prior lag (e.g., where vegetation in the current month is impacted by the climate in a certain prior month) or the lag accumulation (e.g., where vegetation in the current month is impacted by the last several months). The essence of these two methods is that vegetation growth is impacted by climate conditions in the prior period or several consecutive previous periods, which fails to consider the different impacts coming from each of those prior periods. Therefore, this study proposed a new approach, the weighted time-lag method, in detecting the lag effect of climate conditions coming from different prior periods. Essentially, the new method is a generalized extension of the lag-accumulation method. However, the new method detects how many prior periods need to be considered and, most importantly, the differentiated climate impact on vegetation growth in each of the determined prior periods. We tested the performance of the new method in the Loess Plateau by comparing various lag detection methods by using the linear model between the climate factors and the normalized difference vegetation index (NDVI). The case study confirmed four main findings: (1) the response of vegetation growth exhibits time lag to both precipitation and temperature; (2) there are apparent differences in the time lag effect detected by various methods, but the weighted time-lag method produced the highest determination coefficient (R2) in the linear model and provided the most specific lag pattern over the determined prior periods; (3) the vegetation growth is most sensitive to climate factors in the current month and the last month in the Loess Plateau but reflects a varied of responses to other prior months; and (4) the impact of temperature on vegetation growth is higher than that of precipitation. The new method provides a much more precise detection of the lag effect of climate change on vegetation growth and makes a smart decision about soil conservation and ecological restoration after severe climate events, such as long-lasting drought or flooding.


2014 ◽  
Vol 97-98 ◽  
pp. 125-131 ◽  
Author(s):  
Hongfei Cheng ◽  
Zhiliang Zhang ◽  
Qinfu Liu ◽  
Joseph Leung

1999 ◽  
Vol 16 (4) ◽  
pp. 219-225 ◽  
Author(s):  
Don Tustin

AbstractFunctional analysis is used to identify potential reinforcers by generating hypotheses about possible functions of a behaviour. Current methods of functional analysis emphasise observations of events, especially consequences, that occur in the immediate environment of the behaviour. While these methods are well suited for assessing behaviour that is reinforced frequently, they are less appropriate for assessing behaviour that is reinforced only intermittently. A new method for conducting functional analysis is presented that is designed to assess intermittently reinforced behaviour. The new method is illustrated using data that were gathered from an extension of a standard problem-solving format. Data are interpreted using the principle of revealed preference that arose from behavioural economics. The revealed preference method is illustrated using information provided by a client with a dependent personality disorder.


2021 ◽  
Vol 23 (2) ◽  
pp. 132-147
Author(s):  
Kirstin A. Mills

This article examines the processes of fragmentation and haunting surrounding the explosion of competing translations, in 1796, of Gottfried August Bürger's German ballad ‘Lenore’. While the fragment has become known as a core narrative device of the Gothic, less attention has been paid to the ways that the fragment and fragmentation operate as dynamic, living phenomena within the Gothic's central processes of memory, inspiration, creation, dissemination and evolution. Taking ‘Lenore’ as a case study, this essay aims to redress this critical gap by illuminating the ways that fragmentation haunts the mind, the text, and the history of the Gothic as a process as much as a product. It demonstrates that fragmentation operates along lines of cannibalism, resurrection and haunting to establish a pattern of influence that paves the way for modern forms of gothic intertextuality and adaptation. Importantly, it thereby locates fragmentation as a process at the heart of the Gothic mode.


2018 ◽  
Vol 10 (3) ◽  
pp. 57-78
Author(s):  
Goran Milutinovic ◽  
Ulla Ahonen-Jonnarth ◽  
Stefan Seipel

This article describes how continuous GIS-MCDM problems are commonly managed by combining some weighting method based on pairwise comparisons of criteria with an aggregation method. The reliability of this approach may be questioned, though. First, assigning weights to criteria, without taking into consideration the actual consequences or values of the alternatives, is in itself controversial. Second, the value functions obtained by this approach are in most cases linear, which is seldom the case in reality. The authors present a new method for GIS-MCDM in continuous choice models based on Even Swaps. The method is intuitive and easy to use, based on value trade-offs, and thus not relying on criteria weighting. Value functions obtained when using the method may be linear or non-linear, and thereby are more sensitive to the characteristics of the decision space. The performed case study showed promising results regarding the reliability of the method in GIS-MCDM context.


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