A New Irish? Problems of communication in modern Irish media and new speakers.

While the Gaeltacht (Irish speaking) areas of Ireland are geographically isolated from each other and relatively small in area, it is expected that the number of second language Irish speakers throughout the country should ensure the future of the language. Nevertheless, while the official standard grammar has been established for many decades, there is still a tendency in the spoken language to give precedence to regional dialectal variants in schools and the broadcast media which often raises barriers between native speakers themselves and between learners and native speakers.
All pupils in school in the Republic and many in Northern Ireland learn Irish and there has been a great increase in the number of pupils attending immersion Irish language Gaelscoileanna. But concern has been expressed about the phonetic and structural accuracy achieved in schools, all of which contributes to communication breakdown.
This paper discusses how a greater awareness of the link between phoneme and grapheme in Irish and the proposals for the Lárchanúint (Central Dialect) in the 1980s and current discussions on Caighdeán Leathan agus Caighdeán Cúng (Broad and Narrow Standard) would mitigate these concerns.

Arenedicarboximide Building Blocks for Fluorescent Photoinduced Electron Transfer pH Sensors Applicable with Different Media and Communication Wavelengths

N-(aminoalkyl)-4-chloronaphthalene-
1,8-dicarboximides 1, N-
(aminoalkyl)-4-acetamidonaphthalene-
1,8-dicarboximides 3 and N,N'-bis(aminoalkyl)-
perylene-3,4:9,10-tetracarboxydiimides
4 show good fluorescent off ±
on switching in aqueous alcoholic solution
with protons as required for fluorescent
PET sensor design. The excitation
wavelengths lie in the ultraviolet
(lmaxˆ345 and 351 nm) for 1 and 3 and
in the blue-green (lmaxˆ528, 492 and
461 nm) for 4; the emission wavelengths
lie in the violet (lmaxˆ408 nm) for 1, in
the blue (lmaxˆ474 nm) for 3 and in the
yellow-orange (lmaxˆ543 and 583 nm)
for 4. Compound 4b shows substantial
fluorescence enhancement with protons
when immobilized in a poly(vinylchloride)
matrix, provided that 2-nitrophenyloctyl
ether plasticizer and potassium
tetrakis(4-chlorophenyl)borate additive
are present to prevent dye crystallization
and to facilitate proton diffusion
into the membrane, respectively.

Developing students’ ability to engage critically with science in the news: identifying elements of the ‘media awareness’ dimension

Worldwide, science education reform movements are stressing the need to promote ‘scienti?c literacy’ among young people. Increasingly, this is taken to include empowering students to engage critically with science-related news reporting. Despite this requirement now featuring in statutory curricula throughout the UK, there has, to date, been a dearth of research-informed advice to assist science teachers as they identify appropriate instructional objectives in this regard and design relevant learning activities through which these might be achieved. In this study, prominent science communication
scholars, science journalists, science educators and media educators were interviewed to determine what knowledge, skills and habits of mind they judged valuable for individuals reading science-related news stories. Teachers of science and of English from nine secondary schools in Northern Ireland addressed the same issue. A striking – and signi?cant – ?nding of the study was the very substantial number of statements of knowledge, skill and disposition o?ered by participants that relate to ‘media awareness’, an issue largely overlooked in the science education literature. The school-focused phase of the research suggests that cross-curricular approaches involving teachers of science collaborating with those of English/media education or media studies may best serve to address this important curricular goal.

Mass media and polarisation processes in the bounded confidence model of opinion dynamics

This paper presents a social simulation in which we add an additional layer of mass media communication to the social network 'bounded confidence' model of Deffuant et al (2000). A population of agents on a lattice with continuous opinions and bounded confidence adjust their opinions on the basis of binary social network interactions between neighbours or communication with a fixed opinion. There are two mechanisms for interaction. 'Social interaction' occurs between neighbours on a lattice and 'mass communication' adjusts opinions based on an agent interacting with a fixed opinion. Two new variables are added, polarisation: the degree to which two mass media opinions differ, and broadcast ratio: the number of social interactions for each mass media communication. Four dynamical regimes are observed, fragmented, double extreme convergence, a state of persistent opinion exchange leading to single extreme convergence and a disordered state. Double extreme convergence is found where agents are less willing to change opinion and mass media communications are common or where there is moderate willingness to change opinion and a high frequency of mass media communications. Single extreme convergence is found where there is moderate willingness to change opinion and a lower frequency of mass media communication. A period of persistent opinion exchange precedes single extreme convergence, it is characterized by the formation of two opposing groups of opinion separated by a gradient of opinion exchange. With even very low frequencies of mass media communications this results in a move to central opinions followed by a global drift to one extreme as one of the opposing groups of opinion dominates. A similar pattern of findings is observed for Neumann and Moore neighbourhoods.

Green Media: The Future of Wireless Multimedia Networks:Guest Editorial

By 2015, with the proliferation of wireless multimedia applications and services (e.g., mobile TV, video on demand, online video repositories, immersive video interaction, peer to peer video streaming, and interactive video gaming), and any-time anywhere communication, the number of smartphones and tablets will exceed 6.5 billion as the most common web access devices. Data volumes in wireless multimedia data-intensive applications and mobile web services are projected to increase by a factor of 10 every five years, associated with a 20 percent increase in energy consumption, 80 percent of which is multimedia traffic related. In turn, multimedia energy consumption is rising at 16 percent per year, doubling every six years. It is estimated that energy costs alone account for as much as half of the annual operating expenditure. This has prompted concerted efforts by major operators to drastically reduce carbon emissions by up to 50 percent over the next 10 years. Clearly, there is an urgent need for new disruptive paradigms of green media to bridge the gap between wireless technologies and multimedia applications.

Towards a general framework for social media research using big data

The increasing adoption of cloud computing, social networking, mobile and big data technologies provide challenges and opportunities for both research and practice. Researchers face a deluge of data generated by social network platforms which is further exacerbated by the co-mingling of social network platforms and the emerging Internet of Everything. While the topicality of big data and social media increases, there is a lack of conceptual tools in the literature to help researchers approach, structure and codify knowledge from social media big data in diverse subject matter domains, many of whom are from nontechnical disciplines. Researchers do not have a general-purpose scaffold to make sense of the data and the complex web of relationships between entities, social networks, social platforms and other third party databases, systems and objects. This is further complicated when spatio-temporal data is introduced. Based on practical experience of working with social media datasets and existing literature, we propose a general research framework for social media research using big data. Such a framework assists researchers in placing their contributions in an overall context, focusing their research efforts and building the body of knowledge in a given discipline area using social media data in a consistent and coherent manner.