scholarly journals In-depth study of Netflix’s original content of fictional series. Forms, styles and trends in the new streaming scene

2021 ◽  
Vol 34 (3) ◽  
pp. 1-13
Author(s):  
Tatiana Hidalgo-Marí ◽  
Jesús Segarra-Saavedra ◽  
Patricia Palomares-Sánchez
Keyword(s):  
Quantitative Method ◽  
Medium Term ◽  
Exploratory Approach ◽  
Depth Study ◽  
Future Strategy ◽  
Global Nature ◽  
House Production ◽  
Television Market ◽  
Local Languages

This article presents an analysis of the original content of fictional series created by one of the leading companies in the streaming television market, Netflix. This work aims at offering an in-depth study of the original series of the company Netflix, which will allow to classify these contents according to their strategic nature and, secondly, to offer a formal taxonomic overview on them. In addition, their forms, formats, languages, genres and thematic descriptors are analysed in order to establish a taxonomy for the classification of Netflix’s original content. To this end, this article is based on a quantitative method with qualitative contributions, adopting a descriptive but also exploratory approach. Its sample is made up of 490 series available on the Spanish version of the platform from its beginning in 2013 to 2019. The results lead to find a commitment to the production of fictional series with a global nature, but also focused on the local through alliances and productive methods with local businesses. Furthermore, the importance of in-house production as a present and medium-term future strategy is highlighted, together with the commitment to the division of production languages, considering local languages as a resource for the acceptance of the products. As for the predominant formats, a new trend marks how new audiovisual products are created by focusing, among other things, on reducing the duration and longevity of the series broadcast by the company.

Classification of diabetes deficiency syndromes based on plasma fatty acid metabolic profilings using pre-column derivatization quantitative method

2010 ◽  
Vol 28 (6) ◽  
pp. 547-550 ◽  
Author(s):  
Wenjuan XU ◽  
Yuhong HUANG ◽  
Longxing WANG ◽  
Qianxu YANG ◽  
Hongbin XIAO ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Quantitative Method ◽  
Plasma Fatty Acid

scholarly journals Performance of Various Deep-Learning Networks in the Seed Classification Problem

Symmetry ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1892
Author(s):  
Recep Eryigit ◽  
Bulent Tugrul
Keyword(s):  
Performance Metrics ◽  
Classification Problem ◽  
Grass Species ◽  
Test Accuracy ◽  
Learning Networks ◽  
Symmetry Properties ◽  
Depth Study ◽  
Image Set ◽  
Accuracy Performance

We report the results of an in-depth study of 15 variants of five different Convolutional Neural Network (CNN) architectures for the classification of seeds of seven different grass species that possess symmetry properties. The performance metrics of the nets are investigated in relation to the computational load and the number of parameters. The results indicate that the relation between the accuracy performance and operation count or number of parameters is linear in the same family of nets but that there is no relation between the two when comparing different CNN architectures. Using default pre-trained weights of the CNNs was found to increase the classification accuracy by ≈3% compared with training from scratch. The best performing CNN was found to be DenseNet201 with a 99.42% test accuracy for the highest resolution image set.

scholarly journals A Qualitative Study of Pre-Vaccine Decrease of Mortality from COVID-19

2021 ◽  
Author(s):  
Vugar Mammadov ◽  
Lala Jafarova
Keyword(s):  
Psychological Health ◽  
Health Issues ◽  
Political Events ◽  
The World ◽  
Key Factor ◽  
The Media ◽  
Global Nature ◽  
Restrictive Measures

More than a year has passed since the appearance of disease called COVID-19 in the world. This disease became the reason for unprecedented measures taken so far, having received the classification of pandemic. The world has faced with pandemics before, but society has not yet taken such unprecedented restrictive measures. The restrictions of not only local but even of global nature, such as the suspension of international flights, various scientific and political events were adopted around the world. Media resources have played a key role in the formation and development of the attitude towards the disease in people. Despite all the depressing news, the facts showed a low mortality rate, which is often ignored by the media. As a result, medical staff around the world have faced psychological health issues among the different groups of the population, especially vulnerable ones such as people with chronic disease and with weak immunity. At present, it is early to talk about the results and outcomes of the pandemic. However, previous year has taught us many lessons and can become a key factor in understanding the role of the media in pandemic times, developing strategies for combating diseases and protecting public health.

scholarly journals Classification of Ecotourism Objects and its Perspective in Azerbaijan

2020 ◽  
Vol 2020 (1) ◽  
pp. 130-138 ◽  
Author(s):  
H. Khalilov
Keyword(s):  
Sustainable Development ◽  
Cultural Heritage ◽  
Natural Resources ◽  
Present Article ◽  
Local History ◽  
Material Objects ◽  
The Sustainable Development ◽  
Depth Study

Ecotourism is an important sector of tourism. The present article introduces a classification of its material and non-material objects. They are natural, anthropogenic, and fossil-anthropogenic monuments, which serve as information transmitters, and thereby play a significant role for local history. Objects of ecotourism are unique, attractive, and aesthetically appealing sights and samples of cultural heritage that stimulate ecotourism and the sustainable development of the region. The paradigm of ecotourism is modern, promising, profitable, and environmentally friendly. It presupposes a thorough in-depth study of its objects, as well as their development and classification. Azerbaijan boasts a considerable variety of physical and geographical conditions. This territory possesses both natural resources and the cultural heritage. Therefore, the country demonstrates a huge long-term potential for ecotourism.

scholarly journals A laminar augmented cascading flexible neural forest model for classification of cancer subtypes based on gene expression data

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Lianxin Zhong ◽  
Qingfang Meng ◽  
Yuehui Chen ◽  
Lei Du ◽  
Peng Wu
Keyword(s):  
Gene Expression ◽  
Gene Expression Data ◽  
Small Sample Size ◽  
Small Sample ◽  
Expression Data ◽  
Cancer Subtypes ◽  
Cancer Pathogenesis ◽  
Depth Study ◽  
And Function

Abstract Background Correctly classifying the subtypes of cancer is of great significance for the in-depth study of cancer pathogenesis and the realization of personalized treatment for cancer patients. In recent years, classification of cancer subtypes using deep neural networks and gene expression data has gradually become a research hotspot. However, most classifiers may face overfitting and low classification accuracy when dealing with small sample size and high-dimensional biology data. Results In this paper, a laminar augmented cascading flexible neural forest (LACFNForest) model was proposed to complete the classification of cancer subtypes. This model is a cascading flexible neural forest using deep flexible neural forest (DFNForest) as the base classifier. A hierarchical broadening ensemble method was proposed, which ensures the robustness of classification results and avoids the waste of model structure and function as much as possible. We also introduced an output judgment mechanism to each layer of the forest to reduce the computational complexity of the model. The deep neural forest was extended to the densely connected deep neural forest to improve the prediction results. The experiments on RNA-seq gene expression data showed that LACFNForest has better performance in the classification of cancer subtypes compared to the conventional methods. Conclusion The LACFNForest model effectively improves the accuracy of cancer subtype classification with good robustness. It provides a new approach for the ensemble learning of classifiers in terms of structural design.

scholarly journals Plant characteristics determination in sand pits near Moscow

2018 ◽  
Vol 11 ◽  
pp. 00010
Author(s):  
Alaa Dabbagh
Keyword(s):  
Significant Proportion ◽  
Life Forms ◽  
Light Conditions ◽  
Strong Light ◽  
Depth Study ◽  
Plant Characteristics ◽  
Sand Pits ◽  
High Degree ◽  
Herbaceous Perennial

Sand pits are man-made landforms, where vegetation selfrestoration becomes very difficult. An in-depth study of sand pits’ flora and vegetation must be done in order to restore the complete canopy on sand substrate, which prevents the movement of slopes. In Zvenigorod and Dzerzhinsk sand pits, aged about 70 years, we have studied the slopes with northern and southern exposure for 3 years. The article shows that all the 131 species which we have found in the surveyed area were species of vascular plants. Projective cover degree made up 20-30% which, in general, is a typical characteristic of sandy terrain. Hemicryptophytes dominate the spectrum of life forms by K. Raunkiaer in our research. According to the classification of life forms by I. G. Serebryakov, sand slopes are dominated by herbaceous perennial polycarpics, among which long and short rhizome plants and tap rooted plants are in majority. A significant proportion of tap rooted plants is due to their high degree of adaptation to strong light conditions and resistance to drought. Long-and short rhizome plants tend to loose substrates and soft soils.

Quantitative Method for the Classification of Human Mandibular Condyles

1986 ◽  
Vol 127 (3) ◽  
pp. 201-204 ◽  
Author(s):  
Sophia Anagnostopoulou ◽  
Dionyssis Venieratos
Keyword(s):  
Quantitative Method

scholarly journals Application of Mössbauer spectroscopy for classification of ordinary chondrites – different database and different methods

2019 ◽  
Vol 241 (1) ◽  
Author(s):  
Jolanta Gałązka-Friedman ◽  
Marek Woźniak ◽  
Patrycja Bogusz ◽  
Martyna Jakubowska ◽  
Łukasz Karwowski ◽  
...  
Keyword(s):  
Mössbauer Spectroscopy ◽  
Discriminant Analysis ◽  
Quantitative Method ◽  
Mossbauer Spectroscopy ◽  
Classical Method ◽  
Short Review ◽  
Ordinary Chondrites ◽  
Mößbauer Spectroscopy

AbstractClassification of the meteorites is very complex, but in general all meteorites can be divided into three groups: stony, iron and stony-iron. Ordinary chondrites are the most numerous group among stony meteorites. In this paper, we present short review of the methods of classification of ordinary chondrites. The classical method for the classification of ordinary chondrites is based on the determination of the content of fayalite in olivine and of the content of ferrosilite in pyroxene with the use of electron microprobe. This method was proposed in 1967. Studies on the application of Mössbauer spectroscopy to classification of ordinary chondrites were carried out since early 2000 in four Mössbauer laboratories. Mössbauer groups from Kanpur, Ekaterinburg and Canberra suggested qualitative methods of classification of ordinary chondrites. Warsaw group created quantitative method called the “4M method”. This name derives from following words: meteorites, Mössbauer spectroscopy, multidimensional discriminant analysis, Mahalanobis distance. In this publication, we describe the use of 4M method for reclassification of meteorite Goronyo.

scholarly journals A Classification of Manuscripts Based on A New Quantitative Method. The Old Latin Witnesses of John's Gospel as Text Case

2017 ◽  
Vol Special Issue on... (Managing different types of...) ◽  
Author(s):  
David Pastorelli
Keyword(s):  
Gospel Of John ◽  
Quantitative Method ◽  
Classification Algorithm ◽  
New Method ◽  
Text Types ◽  
Computer Aided ◽  
John's Gospel

A new method for grouping manuscripts in clusters is presented with the calculation of distances between readings, then between witnesses. A classification algorithm (" Hierarchical Ascendant Clustering "), achieved through computer-aided processing, enables the construction of trees illustrating the textual taxonomy obtained. This method is applied to the Old Latin witnesses of the Gospel of John, and, in order to provide a study of a reasonable size, to a chapter as a whole (chapter 14). The result basically confirms the text-types identified by Bonatius Fischer, founder of the Vetus Latina Institute, while it invalidates the classification adopted by the current edition of the Vetus Latina of the Gospel of John.

scholarly journals Lexical Cohesion in Kid Talks: The Instagram Videos of Mila Stauffer

2020 ◽  
Vol 5 (1) ◽  
pp. 36-48
Author(s):  
Dinda Amalia ◽  
Didin Nuruddin Hidayat
Keyword(s):  
Quantitative Method ◽  
The Other ◽  
Lexical Cohesion ◽  
Other Hand ◽  
Cohesive Devices ◽  
Depth Study

This study aims to examine the use of lexical elements in kid talks. Mila Stauffer is a four-year-old celebrity who has four million followers on her Instagram account. Mila is known as a child who frequently shares her thoughts about particular topics, expressively, and comprehensively. The researchers are interested in Mila Stauffer because her Instagram videos have many viewers and comments. Numerous Instagram users also like her because she is different from the children that have the same age as her. In order to analyze Mila’s opinion about some topics through videos, lexical cohesion played an important role in the present study. To obtain an in-depth study of lexical cohesion, this study then analyzed ten Instagram videos with the available subtitle. The data of the study were collected through the Instagram account, Kcstauffer. The researchers applied a quantitative method in analyzing the lexical cohesion. Furthermore, the lexical cohesion analysis proposed by Halliday & Hasan has been used in the present study. The study revealed that, as analysed from Mila’s talk, there are differences between kids and adults in terms of the use of repetition. Further, repetition plays an important role in kids talk; one of which is to achieve cohesiveness in speaking. On the other hand, the least lexical cohesive devices used in a kid talk is superordinate.

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