scholarly journals Automatic Summarization of Open-Domain Multiparty Dialogues in Diverse Genres

2002 ◽  
Vol 28 (4) ◽  
pp. 447-485 ◽  
Author(s):  
Klaus Zechner
Keyword(s):  
Average Duration ◽  
Research Area ◽  
Global Evaluation ◽  
Ranking Algorithm ◽  
Open Domain ◽  
Automatic Summarization ◽  
Term Weighting ◽  
Written Text ◽  
Summarization System ◽  
New Research

Automatic summarization of open-domain spoken dialogues is a relatively new research area. This article introduces the task and the challenges involved and motivates and presents an approach for obtaining automatic-extract summaries for human transcripts of multiparty dialogues of four different genres, without any restriction on domain. We address the following issues, which are intrinsic to spoken-dialogue summarization and typically can be ignored when summarizing written text such as news wire data: (1) detection and removal of speech disfluencies; (2) detection and insertion of sentence boundaries; and (3) detection and linking of cross-speaker information units (question-answer pairs). A system evaluation is performed using a corpus of 23 dialogue excerpts with an average duration of about 10 minutes, comprising 80 topical segments and about 47,000 words total. The corpus was manually annotated for relevant text spans by six human annotators. The global evaluation shows that for the two more informal genres, our summarization system using dialogue-specific components significantly outperforms two baselines: (1) a maximum-marginal-relevance ranking algorithm using TF*IDF term weighting, and (2) a LEAD baseline that extracts the first n words from a text.

scholarly journals Author Profiling using Stylistic and N-Gram Features

2019 ◽  
Vol 9 (1) ◽  
pp. 3044-3049
Keyword(s):  
Educational Background ◽  
Research Area ◽  
Classification Algorithms ◽  
Written Text ◽  
Correct Information ◽  
N Gram ◽  
New Research ◽  
Author Profiling ◽  
Textual Content ◽  
Authorship Analysis

The World Wide Web is increasing tremendously with massive amount of textual content primarily through social media sites. Most of the users are not interested to upload their genuine details along with textual content to these sites. To identify the correct information of the authors the researchers started a new research area named as Authorship Analysis. The authorship Analysis is used to find the details of the authors by examining their text. Authorship Profiling is one type of Authorship Analysis, which is used to detect the demographic characteristics like Age, Gender, Location, Educational Background, Nativity Language and Personality Traits of the authors by examining writing skills in their written text. Stylometry is one research area defines a set of stylometric features namely word based, character based, syntactic, structural and content based features for differentiating the author’s writing styles. In this work, the experimentation conducted with various stylistic features, N-grams and content based features for gender prediction. These features are used for representing the vectors of documents. The classification algorithms produce the model by processing these vectors. Two classification algorithms namely Random Forest, Naïve Bayes Multinomial were used for classification. We concentrated on prediction of Gender from 2019 Pan Competition Twitter dataset. Our approach obtained best accuracies when compared with many Authorship Profiling approaches.

Music Neurotechnology for Sound Synthesis: Sound Synthesis with Spiking Neuronal Networks

Leonardo ◽  
2009 ◽  
Vol 42 (5) ◽  
pp. 439-442 ◽  
Author(s):  
Eduardo R. Miranda ◽  
John Matthias
Keyword(s):  
Cortical Neurons ◽  
Neuronal Networks ◽  
Research Area ◽  
Sound Synthesis ◽  
Ongoing Research ◽  
Computer Interfaces ◽  
Engineering Sciences ◽  
New Research ◽  
Sound Files

Music neurotechnology is a new research area emerging at the crossroads of neurobiology, engineering sciences and music. Examples of ongoing research into this new area include the development of brain-computer interfaces to control music systems and systems for automatic classification of sounds informed by the neurobiology of the human auditory apparatus. The authors introduce neurogranular sampling, a new sound synthesis technique based on spiking neuronal networks (SNN). They have implemented a neurogranular sampler using the SNN model developed by Izhikevich, which reproduces the spiking and bursting behavior of known types of cortical neurons. The neurogranular sampler works by taking short segments (or sound grains) from sound files and triggering them when any of the neurons fire.

A systematic review of e-tail product returns and an agenda for future research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamrul Ahsan ◽  
Shams Rahman
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Research Area ◽  
Future Research ◽  
Product Returns ◽  
Content Type ◽  
People Skills ◽  
New Research ◽  
Returns Management ◽  
The Impact

PurposeThis study conducts a systematic literature review of e-tail product returns research. E-tail product returns are essentially acquisition of products that have been sold through purely online or brick-and-click channels and then returned by consumer to business.Design/methodology/approachUsing a systematic literature review protocol, we identified 75 peer-reviewed articles on e-tail product returns, conducted bibliometric analysis and content analysis of the articles and summarised our findings.FindingsThe findings reveal that the subject of e-tail returns is a new research area; academics have started to investigate several aspects of e-tail returns through different research methodologies and theoretical foundations. Further research is required in leading e-commerce countries and on key areas such as omni-channel returns management, customer satisfaction and service, the impact of resources such as people skills, the benefits of technology and IT systems in managing e-tail returns.Practical implicationsThe study offers a summative account of current e-tail knowledge areas, which can serve as a reference guide for e-tailers to develop strategies for more efficient and competitive product returns.Originality/valueThis study contributes theoretically by developing clusters of key themes or knowledge areas about e-tail returns. It also provides a conceptual framework for e-tail returns management, which can be used as a springboard for further empirical research.

scholarly journals Photobiomodulation of Human Fibroblasts and Keratinocytes with Blue Light: Implications in Wound Healing

2020 ◽  
Author(s):  
Francesca Rossi ◽  
Giada Magni ◽  
Francesca Tatini ◽  
Martina Banchelli ◽  
Federica Cherchi ◽  
...  
Keyword(s):  
Wound Healing ◽  
Blue Light ◽  
Chronic Wounds ◽  
Human Fibroblasts ◽  
Healing Process ◽  
Research Area ◽  
Wound Management ◽  
Blue Led ◽  
Led Light ◽  
New Research

In recent years, photobiomodulation (PBM) has been recognized as a physical therapy in wound management. Despite several published research papers, the mechanism underlying photobiomodulation is still not completely understood. The investigation about application of blue light to improve wound healing is a relatively new research area. Tests in selected patients evidenced a stimulation of the healing process in superficial and chronic wounds treated with a blue LED light emitting at 420 nm; a study in animal model pointed out a faster healing process in superficial wound, with an important role of fibroblasts and myofibroblasts. Here we present a study aiming at evidencing the effects of blue light on the proliferation and metabolism in fibroblasts and keratinocytes. Different light doses were used to treat the cells, evidencing inhibitory and stimulatory effects. Electrophysiology was used to investigate the effects on membrane currents, while Raman spectroscopy revealed the mitochondrial Cytochrome C (Cyt C) oxidase dependence on blue light irradiation. In conclusion, we observed that the blue LED light can be used to modulate the activity of human fibroblasts, and the effects in wound healing are particularly evident when studying the fibroblasts and keratinocytes co-cultures.

scholarly journals MIGRATION AS A SOCIAL RESOURCE OF TERRITORIAL COMMUNITY

PRIMO ASPECTU ◽  
2020 ◽  
pp. 56-64
Author(s):  
Julia DROZDOVA
Keyword(s):  
Human Resources ◽  
Social Transformation ◽  
Local Population ◽  
Research Area ◽  
Academic Community ◽  
Social Resource ◽  
Sociological Study ◽  
Volgograd Region ◽  
New Research ◽  
Combined Strategy

In the modern globalized world migration shows a stable progressing nature which explains the academic interest in this complex, controversial phenomenon. The complexity of migration processes gives rise to new discourses, and a new research area where migration is studied as a social resource, a channel to replenish human resources in the declining regions of the Russian Federation. Data obtained in a complex sociological study performed within the framework of RFFI grant #19-411-340002 “Territorial communities in social transformation: a sociological and managerial analysis” permitted considering migration as a social resource. The research team of the Volgograd Institute of management, a branch of RANEPA, used a combined strategy that includes both quantitative (mass survey of citizens and rural residents) and qualitative methods of empirical study. The former were mass surveys of urban and country residents, the latter - in-depth interviews of experts and representatives of territorial local governing bodies, the academic community, urban and country activists, architects, leaders of property owner associations, long term residents of territorial communities. The obtained data allowed revealing the potential of migration in terms of partial compensation for the declining population of the Volgograd region, replenishing human resources and labor force, preservation and development of regional territories, building solidary ties between the local population and migrants. Migration has both positive and negative implications; the objective, inevitable nature of migration brings to the fore a need for optimal, effective methods of management at all levels of the social system. Social and ethnic agreement between migrants and the receiving population in territorial communities can be only possible when life in a region is well regulated, its municipal structures and local communities function properly, and the traditions and culture of all people residing here are respected.

scholarly journals Design Techniques for Elliptical Micro-Strip Patch Antenna and Their Effects on Antenna Performance

2019 ◽  
Vol 8 (12) ◽  
pp. 2317-2326
Keyword(s):  
Patch Antenna ◽  
Degrees Of Freedom ◽  
Wide Band ◽  
Research Area ◽  
Patch Antennas ◽  
Bandwidth Enhancement ◽  
Antenna Performance ◽  
Elliptical Ring ◽  
New Research ◽  
Design Techniques

Elliptical Micro-strip Patch Antenna (EMPA) has been emerged as a peculiar and significant category among the different shaped micro-strip patch antennas because of its circular polarization and dual-resonant frequency features with a single feed. Elliptical and its derived shapes such as semielliptical, half-elliptical, slotted-elliptical and elliptical ring are found to be particularly instrumental for bandwidth enhancement and these antennas find great applications in Ultra Wide Band (UWB) and Super Wide Band (SWB) communications. Compared to antennas with circular or rectangular shapes, the design of EMPA is a research area of high potential as there is higher flexibility in its design due to more degrees of freedom. The reported literature in the field of EMPA is very less and there is ample scope for new researchers to work on. This review paper is an attempt to summarize and critically assess the-state-of-the-art design techniques as reported in literature and understand their effects on performance of elliptical patch antenna for suggesting new research fronts in the field of EMPA.

scholarly journals A novel launch of public- scientist- partnership (psp) project as engine for conserving natural resource and creating economic prosperity

2018 ◽  
Vol 1 (4) ◽  
Author(s):  
R.C. Yadav ◽  
Jaya Yadav
Keyword(s):  
Natural Resource ◽  
Finger Millet ◽  
Research Area ◽  
Filling Material ◽  
Economic Prosperity ◽  
Gas Emission ◽  
Natural Resource Conservation ◽  
New Research ◽  
Study Modality ◽  
Additional Income

Some developmental projects are created by people- private -partnership (PPP), particularly where recovery is acquirable by levying the users. Such PPPs are successful for construction of roads, bridges, running toilet facilities and conveyance facility in mode of use and pay.  Likewise, public Scientist Partnership (PSPs) will be successful, where monitored impacts can be used to derive benefit. But, such example cases are not so popular in utilizing new research results and derive benefits from natural resources and enhance productivity. There exists need of similar partnership projects in research area. In this study modality of the PSP to create boost engine for natural resource conservation and bringing economic prosperity is established. A novel PSP launch was synthesized on useful food crop viz finger millet (Elusiane corcona (l)), known since long past, and now regaining popularity. It was possible to enhance additional annual production of 5.755 million Tonnes of finger millet grain, equivalent to additional income of Rs 11,510 crores. Against this the scientist partnership share was 0.49x million Tonnes grain and economic equivalency of Rs 992 crores, which was just 7-8%, with same level of input in agriculture. Additional benefits were sustainability of production and resources consecration, reduction of Green House Gas emission (GHGs), particularly nitrous oxide (N2O), largely emanating from agriculture and responsible for depletion of ozone layer. The finger millet stiff stem will be useable for production of ply-board filling material that will be innovative  building material for housing and infrastructure developments. and making furniture.  

scholarly journals High Capacity Reversible Steganography on CMY and HSI Color Images Using Image Interpolation

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 133-148
Author(s):  
D. Shahi ◽  
R.S. Vinod Kumar ◽  
V.K. Reshma
Keyword(s):  
High Capacity ◽  
Similarity Index ◽  
Image Interpolation ◽  
Median Plane ◽  
Research Area ◽  
Secret Message ◽  
Color Models ◽  
Image Models ◽  
Surface Similarity ◽  
New Research

Steganography using image interpolation has created a new research area in multimedia communication. A reversible data concealing in HSI and CMY color models using image interpolation is proposed in this paper. The HSI and CMY image models are interpolated using High Capacity Reversible Steganography (CRS) technique. The median plane of both HSI and CMY color models are selected for secret message bit concealing. The secret message bits are concealed in the cover plane by Exclusive OR (XOR) operation. Since the cover image is recovered after secret message bit retrieval, this finds application in military and medical imaging applications. The experimental results of proposed scheme showed very high embedding capacity of about 16 bits in each pixel location of calculated pixel value, good image quality with a surface similarity index measure (SSIM) value 1 and high PSNR. Also, high robustness is achieved on comparing with the existing works.

scholarly journals The geography of childhood as a new research area

2019 ◽  
Vol 1 (3) ◽  
pp. 167-173
Author(s):  
Alexandra G. Filipova ◽  
Leonas Tolvaišis
Keyword(s):  
Research Area ◽  
New Research

scholarly journals Sentiment Analysis of Patients' Opinions in Healthcare using Lexicon-based Method

2019 ◽  
Vol 9 (1) ◽  
pp. 6977-6981
Keyword(s):  
Social Networking ◽  
Sentiment Analysis ◽  
Social Networking Sites ◽  
Healthcare Service ◽  
Opinion Mining ◽  
Research Area ◽  
Service Needs ◽  
Health Organizations ◽  
The World ◽  
New Research

The rapid increase in technology made people across the world use social networking sites to express their opinions on a topic, product or service. The success of a healthcare service directly depends on its users. If a majority of users like the service then it is a success otherwise, the service needs to be improvised. For improvising the service, the users' opinions need to be analyzed. Manually extracting and analyzing the content present on the web is a tedious task. This gave rise to a new research area called Sentiment Analysis. It is otherwise known as opinion mining. It is being used by many health organizations to make effective decisions on their service. This paper presents the sentiment analysis of patients' opinions on hospitals which is mainly used to improve healthcare service. This is implemented using a lexicon-based methodology to analyze the sentiment.

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