scholarly journals 3rd ICTs and Society Meeting; Paper Session - Inequalities: social, economic and political; Paper 2: Media conver-gence and blogging in exposing corruption and fraud in India

2010 ◽  
Vol 8 (2) ◽  
pp. 143-148
Author(s):  
C.S.H.N. Murthy
Keyword(s):  
Case Studies ◽  
Large Scale ◽  
Web Portals ◽  
Society Meeting ◽  
Convenience Sample ◽  
On Line ◽  
The Rich ◽  
Public Views ◽  
Day By Day ◽  
Conver Gence

 The divide between the poor and the rich in India is getting wider and deeper day by day in the post globalization and privatization. It also sounds paradoxical to hear that the development whatever is happening in India is preceded by large scale corruption where the politicians and the bureaucrats in tandem and in perfect collusion are siphoning off billions of rupees meant for the rural development. But, none of these projects could escape the brunt of corruption in India. The paper deals with a few such stories of corruption as case studies that came to limelight and are placed in ‘convergent’ media either in the blogs of television channels or print media or on line web-portals such as face-book/twitter or on You Tube. The paper hypothesizes that the current level of exposure of corruption in 24x7 ‘convergent’ media is not adequate and would like to explore the ways and means of utilizing it (convergent media) more ‘socially effectively’ to totally curb/eliminate the corruption from the top to the lower level in the governance in India. This study therefore follows multiple methods of inquiry, besides the case studies, including surfing the existing web-portals/blogs for the mobilized public views on exposure of corruption through the ‘convergent’ media and conducting  interviews with the convenience sample of media experts in the field as also analyzing the secondary documents (for case studies). The study is therefore a descriptive and qualitative communication research.

scholarly journals 3rd ICTs and Society Meeting; Paper Session - Inequalities: social, economic and political; Paper 2: Media conver-gence and blogging in exposing corruption and fraud in India

2010 ◽  
Vol 8 (2) ◽  
pp. 143-148
Author(s):  
C.S.H.N. Murthy
Keyword(s):  
Case Studies ◽  
Large Scale ◽  
Web Portals ◽  
Society Meeting ◽  
Convenience Sample ◽  
On Line ◽  
The Rich ◽  
Public Views ◽  
Day By Day ◽  
Conver Gence

 The divide between the poor and the rich in India is getting wider and deeper day by day in the post globalization and privatization. It also sounds paradoxical to hear that the development whatever is happening in India is preceded by large scale corruption where the politicians and the bureaucrats in tandem and in perfect collusion are siphoning off billions of rupees meant for the rural development. But, none of these projects could escape the brunt of corruption in India. The paper deals with a few such stories of corruption as case studies that came to limelight and are placed in ‘convergent’ media either in the blogs of television channels or print media or on line web-portals such as face-book/twitter or on You Tube. The paper hypothesizes that the current level of exposure of corruption in 24x7 ‘convergent’ media is not adequate and would like to explore the ways and means of utilizing it (convergent media) more ‘socially effectively’ to totally curb/eliminate the corruption from the top to the lower level in the governance in India. This study therefore follows multiple methods of inquiry, besides the case studies, including surfing the existing web-portals/blogs for the mobilized public views on exposure of corruption through the ‘convergent’ media and conducting  interviews with the convenience sample of media experts in the field as also analyzing the secondary documents (for case studies). The study is therefore a descriptive and qualitative communication research.

Nursing professionals’ attitudes toward use of physical restraints in Styrian nursing homes Austria

Pflege ◽  
2019 ◽  
Vol 32 (1) ◽  
pp. 57-63
Author(s):  
Hannes Mayerl ◽  
Tanja Trummer ◽  
Erwin Stolz ◽  
Éva Rásky ◽  
Wolfgang Freidl
Keyword(s):  
Nursing Homes ◽  
Large Scale ◽  
Critical Role ◽  
Physical Restraint ◽  
Care Practice ◽  
Physical Restraints ◽  
Convenience Sample ◽  
Restraint Use ◽  
Positive Attitudes ◽  
Nursing Professionals

Abstract. Background: Given that nursing staff play a critical role in the decision regarding use of physical restraints, research has examined nursing professionals’ attitudes toward this practice. Aim: Since nursing professionals’ views on physical restraint use have not yet been examined in Austria to date, we aimed to explore nursing professionals’ attitudes concerning use of physical restraints in nursing homes of Styria (Austria). Method: Data were collected from a convenience sample of nursing professionals (N = 355) within 19 Styrian nursing homes, based on a cross-sectional study design. Attitudes toward the practice of restraint use were assessed by means of the Maastricht Attitude Questionnaire in the German version. Results: The overall results showed rather positive attitudes toward the use of physical restraints, yet the findings regarding the sub-dimensions of the questionnaire were mixed. Although nursing professionals tended to deny “good reasons” for using physical restraints, they evaluated the consequences of physical restraint use rather positive and considered restraint use as an appropriate health care practice. Nursing professionals’ views regarding the consequences of using specific physical restraints further showed that belts were considered as the most restricting and discomforting devices. Conclusions: Overall, Austrian nursing professionals seemed to hold more positive attitudes toward the use of physical restraints than counterparts in other Western European countries. Future nationwide large-scale surveys will be needed to confirm our findings.

RECYCLED WATER RISK PERCEPTION - A COMPARISON OF TWO CASE STUDIES

2007 ◽  
Vol 2 (4) ◽  
Author(s):  
A. Hurlimann
Keyword(s):  
Risk Perception ◽  
Case Studies ◽  
Perceived Risk ◽  
Capital City ◽  
Recycled Water ◽  
Urban Centre ◽  
On Line ◽  
Line Survey ◽  
Water Uses

This paper reports results from a study comparing perceived risk associated with various recycled water uses in two Australian locations, both in the state of Victoria: the capital city Melbourne, and Bendigo a regional urban centre. Both locations are experiencing ‘drought’, but Bendigo is experiencing this in a more acute manner. A case study is used in each location. Both case studies involve future use of recycled water in new commercial buildings. An on-line survey was used to measure attitudes to recycled water of the future occupants of both buildings. The study found perceived risk associated with 11 uses of recycled water increased as the use became increasingly personal. Interestingly, no difference in perceived risk associated with 11 uses of recycled water was found between locations. Prior experience (use) of recycled water was found to be a significant and positive factor in reducing risk perception. Various attitudinal variables were found to be significant influences on perceived risk. Results indicate that reducing perceived risk of recycled water use may increase satisfaction with its use.

A Drug Target Interaction Prediction Based on LINE-RF Learning

2020 ◽  
Vol 15 (7) ◽  
pp. 750-757
Author(s):  
Jihong Wang ◽  
Yue Shi ◽  
Xiaodan Wang ◽  
Huiyou Chang
Keyword(s):  
Network Topology ◽  
Drug Target ◽  
Large Scale ◽  
Representation Learning ◽  
New Drugs ◽  
Combination Method ◽  
Learning Methods ◽  
Network Representation ◽  
On Line ◽  
Clinical Experiments

Background: At present, using computer methods to predict drug-target interactions (DTIs) is a very important step in the discovery of new drugs and drug relocation processes. The potential DTIs identified by machine learning methods can provide guidance in biochemical or clinical experiments. Objective: The goal of this article is to combine the latest network representation learning methods for drug-target prediction research, improve model prediction capabilities, and promote new drug development. Methods: We use large-scale information network embedding (LINE) method to extract network topology features of drugs, targets, diseases, etc., integrate features obtained from heterogeneous networks, construct binary classification samples, and use random forest (RF) method to predict DTIs. Results: The experiments in this paper compare the common classifiers of RF, LR, and SVM, as well as the typical network representation learning methods of LINE, Node2Vec, and DeepWalk. It can be seen that the combined method LINE-RF achieves the best results, reaching an AUC of 0.9349 and an AUPR of 0.9016. Conclusion: The learning method based on LINE network can effectively learn drugs, targets, diseases and other hidden features from the network topology. The combination of features learned through multiple networks can enhance the expression ability. RF is an effective method of supervised learning. Therefore, the Line-RF combination method is a widely applicable method.

Modernism and Non-Translation

2019 ◽  
Keyword(s):  
Case Studies ◽  
James Joyce ◽  
Ezra Pound ◽  
Modernist Literature ◽  
Cultural Implications ◽  
The Rich ◽  
The Aesthetic ◽  
Reading Key ◽  
Modernist Fiction ◽  
Selection Of

Modernism and Non-Translation proposes a new way of reading key modernist texts, including the work of canonical figures such as T. S. Eliot, James Joyce, and Ezra Pound. The topic of this book is the incorporation of untranslated fragments from various languages within modernist writing. It explores non-translation in modernist fiction, poetry, and other forms, with a principally European focus. The intention is to begin to answer a question that demands collective expertise: what are the aesthetic and cultural implications of non-translation for modernist literature? How did non-translation shape the poetics, and cultural politics, of some of the most important writers of this period? Twelve essays by leading scholars of modernism explore American, British, and Irish texts, alongside major French and German writers, and the wider modernist recovery of Classical languages. They explore non-translation from the dual perspectives of both ‘insider’ and ‘outsider’, unsettling that false opposition, and articulating in the process their individuality of expression and experience. The range explored indicates something of the reach and vitality of the matter of translation—and specifically non-translation—across a selection of poetry, fiction, and non-fictional prose, while focusing on mainly canonical voices. Offering a series of case studies, the volume aims to encourage further exploration of connections across languages and among writers. Together, the collection seeks to provoke and extend debate on the aesthetic, cultural, political, and conceptual dimensions of non-translation as an important yet hitherto neglected facet of modernism, helping to redefine our understanding of that movement. It demonstrates the rich possibilities of reading modernism through instances of non-translation.

scholarly journals Modeling regional impacts and resilience to water service disruptions in urban economies

2021 ◽  
pp. 239980832199870
Author(s):  
Sheree A Pagsuyoin ◽  
Joost R Santos
Keyword(s):  
Case Studies ◽  
Large Scale ◽  
Urban Region ◽  
Economic Losses ◽  
Drought Severity ◽  
Severe Drought ◽  
Time Varying ◽  
National Capital Region ◽  
Economic Sectors ◽  
The Impact

Water is a critical natural resource that sustains the productivity of many economic sectors, whether directly or indirectly. Climate change alongside rapid growth and development are a threat to water sustainability and regional productivity. In this paper, we develop an extension to the economic input-output model to assess the impact of water supply disruptions to regional economies. The model utilizes the inoperability variable, which measures the extent to which an infrastructure system or economic sector is unable to deliver its intended output. While the inoperability concept has been utilized in previous applications, this paper offers extensions that capture the time-varying nature of inoperability as the sectors recover from a disruptive event, such as drought. The model extension is capable of inserting inoperability adjustments within the drought timeline to capture time-varying likelihoods and severities, as well as the dependencies of various economic sectors on water. The model was applied to case studies of severe drought in two regions: (1) the state of Massachusetts (MA) and (2) the US National Capital Region (NCR). These regions were selected to contrast drought resilience between a mixed urban–rural region (MA) and a highly urban region (NCR). These regions also have comparable overall gross domestic products despite significant differences in the distribution and share of the economic sectors comprising each region. The results of the case studies indicate that in both regions, the utility and real estate sectors suffer the largest economic loss; nonetheless, results also identify region-specific sectors that incur significant losses. For the NCR, three sectors in the top 10 ranking of highest economic losses are government-related, whereas in the MA, four sectors in the top 10 are manufacturing sectors. Furthermore, the accommodation sector has also been included in the NCR case intuitively because of the high concentration of museums and famous landmarks. In contrast, the Wholesale Trade sector was among the sectors with the highest economic losses in the MA case study because of its large geographic size conducive for warehouses used as nodes for large-scale supply chain networks. Future modeling extensions could potentially include analysis of water demand and supply management strategies that can enhance regional resilience against droughts. Other regional case studies can also be pursued in future efforts to analyze various categories of drought severity beyond the case studies featured in this paper.

scholarly journals Mean-Field Models for EEG/MEG: From Oscillations to Waves

2021 ◽  
Author(s):  
Áine Byrne ◽  
James Ross ◽  
Rachel Nicks ◽  
Stephen Coombes
Keyword(s):  
Gap Junction ◽  
Large Scale ◽  
Mean Field ◽  
Coarse Grained ◽  
Neural Mass Model ◽  
Neuron Network ◽  
Mass Model ◽  
Mean Field Model ◽  
Neural Mass ◽  
The Rich

AbstractNeural mass models have been used since the 1970s to model the coarse-grained activity of large populations of neurons. They have proven especially fruitful for understanding brain rhythms. However, although motivated by neurobiological considerations they are phenomenological in nature, and cannot hope to recreate some of the rich repertoire of responses seen in real neuronal tissue. Here we consider a simple spiking neuron network model that has recently been shown to admit an exact mean-field description for both synaptic and gap-junction interactions. The mean-field model takes a similar form to a standard neural mass model, with an additional dynamical equation to describe the evolution of within-population synchrony. As well as reviewing the origins of this next generation mass model we discuss its extension to describe an idealised spatially extended planar cortex. To emphasise the usefulness of this model for EEG/MEG modelling we show how it can be used to uncover the role of local gap-junction coupling in shaping large scale synaptic waves.

scholarly journals Exploiting Proximity-Based Mobile Apps for Large-Scale Location Privacy Probing

2018 ◽  
Vol 2018 ◽  
pp. 1-22 ◽  
Author(s):  
Shuang Zhao ◽  
Xiapu Luo ◽  
Xiaobo Ma ◽  
Bo Bai ◽  
Yankang Zhao ◽  
...  
Keyword(s):  
Social Networks ◽  
Case Studies ◽  
Real World ◽  
Emission Reduction ◽  
Large Scale ◽  
Location Privacy ◽  
Mobile Apps ◽  
Physical World ◽  
Typical Type ◽  
Location Spoofing

Proximity-based apps have been changing the way people interact with each other in the physical world. To help people extend their social networks, proximity-based nearby-stranger (NS) apps that encourage people to make friends with nearby strangers have gained popularity recently. As another typical type of proximity-based apps, some ridesharing (RS) apps allowing drivers to search nearby passengers and get their ridesharing requests also become popular due to their contribution to economy and emission reduction. In this paper, we concentrate on the location privacy of proximity-based mobile apps. By analyzing the communication mechanism, we find that many apps of this type are vulnerable to large-scale location spoofing attack (LLSA). We accordingly propose three approaches to performing LLSA. To evaluate the threat of LLSA posed to proximity-based mobile apps, we perform real-world case studies against an NS app named Weibo and an RS app called Didi. The results show that our approaches can effectively and automatically collect a huge volume of users’ locations or travel records, thereby demonstrating the severity of LLSA. We apply the LLSA approaches against nine popular proximity-based apps with millions of installations to evaluate the defense strength. We finally suggest possible countermeasures for the proposed attacks.

Quantification of Effects of Ridge and Valley Topography on the Rayleigh Wave Characteristics

2018 ◽  
Vol 12 (03) ◽  
pp. 1850007 ◽  
Author(s):  
J. P. Narayan ◽  
A. Kumar
Keyword(s):  
Rayleigh Wave ◽  
Rayleigh Waves ◽  
Large Scale ◽  
Research Work ◽  
Vertical Component ◽  
Staggered Grid ◽  
Long Span ◽  
Shape Ratio ◽  
Day By Day ◽  
Ridge And Valley

The effects of ridge and valley on the characteristics of Rayleigh waves are presented in this paper. The research work carried out has been stimulated by the day by day increase of long-span structures in the hilly areas which are largely affected by the spatial variability in ground motion caused by the high-frequency Rayleigh waves. The Rayleigh wave responses of the considered triangular and elliptical ridge and valley models were computed using a fourth-order accurate staggered-grid viscoelastic P-SV wave finite-difference (FD) program. The simulated results revealed very large amplification of the horizontal component and de-amplification of the vertical component of Rayleigh wave at the top of a triangular ridge and de-amplification of both the components at the base of the triangular valley. The observed amplification of both the components of Rayleigh wave in front of elliptical valley was larger than triangular valley models. A splitting of the Rayleigh wave wavelet was inferred after interaction with ridge and valley. It is concluded that the large-scale topography acts as a natural insulator for the surface waves and the insulating capacity of the valley is more than that of a ridge. This insulation phenomenon is arising due to the reflection, diffraction and splitting of the surface wave while moving across the topography. It is concluded that insulating potential of the topography for the Rayleigh waves largely depends on their shape and shape-ratio.

Drama and Environment: Joining Forces to Engage Children and Young People in Environmental Education

2013 ◽  
Vol 29 (2) ◽  
pp. 182-201 ◽  
Author(s):  
David J. Curtis ◽  
Mark Howden ◽  
Fran Curtis ◽  
Ian McColm ◽  
Juliet Scrine ◽  
...  
Keyword(s):  
Environmental Education ◽  
Case Studies ◽  
Large Scale ◽  
Environmental Issues ◽  
Contemporary Society ◽  
Children And Young People ◽  
School Based ◽  
Qualitative Evidence ◽  
Theatre Company ◽  
Theatre In Education

AbstractEngaging and exciting students about the environment remains a challenge in contemporary society, even while objective measures show the rapid state of the world's environment declining. To illuminate the integration of drama and environmental education as a means of engaging students in environmental issues, the work of performance companies Evergreen Theatre, Leapfish and Eaton Gorge Theatre Company, the ecological oratorio Plague and the Moonflower, and a school-based trial of play-building were examined through survey data and participant observations. These case studies employed drama in different ways — theatre-in-education, play-building, and large-scale performance event. The four case studies provide quantitative and qualitative evidence for drama-based activities leading to an improvement in knowledge about the environment and understandings about the consequences of one's actions. In observing and participating in these case studies, we reflect that drama is a means of synthesising and presenting scientific research in ways that are creative and multi-layered, and which excite students, helping maintain their attention and facilitating their engagement.

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