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Journal articles on the topic 'Film classification'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

Covell, Tim. "Children’s Participation Rights in Film Classification Systems." International Journal of Children’s Rights 25, no. 2 (August 8, 2017): 438–55. http://dx.doi.org/10.1163/15718182-02502005.

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Film classification helps countries meet their obligations to protect children under Article 17(e) of the United Nations Convention on the Rights of the Child. Classifying films is an administrative proceeding that affects children, by limiting and setting conditions on what they can view. Therefore, children should have their interests represented or otherwise participate, as required by Article 12. This paper researches the degrees and methods of child participation in film classification systems, primarily by a survey of agencies. Based on data from 22 agencies in 17 countries, 73 per cent have some degree of child participation. This ranges from providing a website for children, to children’s panels reviewing and discussing classification for pre-screened films. Comparison with other international data sets suggests countries with a high degree of child participation in film classification are those which are generally making good progress implementing children’s rights.

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2

Liu, Bingxin, Ying Li, Guannan Li, and Anling Liu. "A Spectral Feature Based Convolutional Neural Network for Classification of Sea Surface Oil Spill." ISPRS International Journal of Geo-Information 8, no. 4 (March 27, 2019): 160. http://dx.doi.org/10.3390/ijgi8040160.

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Spectral characteristics play an important role in the classification of oil film, but the presence of too many bands can lead to information redundancy and reduced classification accuracy. In this study, a classification model that combines spectral indices-based band selection (SIs) and one-dimensional convolutional neural networks was proposed to realize automatic oil films classification using hyperspectral remote sensing images. Additionally, for comparison, the minimum Redundancy Maximum Relevance (mRMR) was tested for reducing the number of bands. The support vector machine (SVM), random forest (RF), and Hu’s convolutional neural networks (CNN) were trained and tested. The results show that the accuracy of classifications through the one dimensional convolutional neural network (1D CNN) models surpassed the accuracy of other machine learning algorithms such as SVM and RF. The model of SIs+1D CNN could produce a relatively higher accuracy oil film distribution map within less time than other models.

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3

Driscoll, Catherine, and Liam Grealy. "In the name of the nation: Media classification, globalisation, and exceptionalism." International Journal of Cultural Studies 22, no. 3 (July 5, 2018): 383–99. http://dx.doi.org/10.1177/1367877918784606.

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This article examines the relationship between exceptionalism and nationhood in media classification. The history of age-ratings is an international one, and the present challenges associated with digital media circulation are similarly international. We argue that the nation nevertheless provides an appropriate frame for understanding age-rating by attending to the ways national agencies have struggled to articulate the specificity of their work based on the specificity of domestic constituencies. Drawing on archival and ethnographic research, our central examples include the resistance of the Motion Picture Association of America to age-based film classification, the British Board of Film Classification’s examination of American films in the 1980s, contemporary Japanese videogame regulation, and the emergence of the International Age Rating Coalition. We argue that national exceptionalism is itself generalised and that media content regulation is less about producing national culture than about laying claim to a nation by differentiation.

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4

Демина, Наталья, Natal'ya Demina, Анна Титова, Anna Titova, Елена Бахрушина, Elena Bahrushina, Марина Вакина, Marina Vakina, Екатерина Булова, and Ekaterina Bulova. "Films as a trend in the creation of innovation medicine delivery systems (review)." Vestnik Roszdravnadzora 2019, no. 3 (June 26, 2019): 54–58. http://dx.doi.org/10.35576/article_5d135f4a4f3788.19551999.

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The review have been investigated the question of development of innovative medications in the film as dosage form. The article have been studied the history of created the films, using in medicine, the created medicines, film classification, film technology, excipients and development perspective.

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5

Pronin, Alexander A. "Feature Film Quotation in a Documentary Portrait: a Functional-Semantic Aspect." Journal of Flm Arts and Film Studies 7, no. 3 (September 15, 2015): 62–71. http://dx.doi.org/10.17816/vgik7362-71.

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The article analyzes the underresearched practice of using feature film quotations in portrait documentaries. A certain number of contemporary films help to single out the most typical sphere of quotations usage, demonstrate typical means of incorporating film quotations into the new film text, and present a classification of quotation variants according to their functional-semantic aspect.

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6

Muhtadan, Risanuri Hidayat, Widyawan, and Fahmi Amhar. "Weld Defect Classification in Radiographic Film Using Statistical Texture and Support Vector Machine." Advanced Materials Research 896 (February 2014): 695–700. http://dx.doi.org/10.4028/www.scientific.net/amr.896.695.

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Weld defect identification requires radiographic operator experience, so the interpretation of weld defect type could potentially bring subjectivity and human error factor. This paper proposes Statistical Texture and Support Vector Machine method for weld defect type classification in radiographic film. Digital image processing technique applied in this paper implements noise reduction using median filter, contrast stretching, and image sharpening using Laplacian filter. Statistical method feature extraction based on image histogram was proposed for describing weld defects texture characteristic of a radiographic film digital image. Multiclass Support Vector Machine (SVM) algorithm was used to perform classification of weld defects type. The result of classification testing shows that the proposed method can classify 83.3% correctly from 60 testing data of weld defects radiographic films.

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7

VEREȘ, SANDA, and IOANA MAGDAȘ. "The Use of the Educational Animated Film in Primary Education in Romania." Romanian Review of Geographical Education 9, no. 2 (November 14, 2020): 67–86. http://dx.doi.org/10.23741/rrge220204.

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This study aims to review, analyse and synthesize the literature, which refers to the use of educational film in education in Romania and which deepens aspects related to the use of animated film in primary education. The aim was to review the literature on: classification of animated films in the category of educational means; the functions of animated films; types and sources of animated films; teacher preparation for the use of film for educational purposes; integrating the film into the lesson; how to use animated films in primary education and the results of their use. Existing information in papers in the field of education sciences from the last three decades was analysed. Regarding the use of animation films in primary education, five studies were analysed in depth

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8

Olesen, Christian Gosvig, and Ivan Kisjes. "From Text Mining to Visual Classification." TMG Journal for Media History 21, no. 2 (November 1, 2018): 127. http://dx.doi.org/10.18146/2213-7653.2018.370.

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Focusing on the specific case of cinema owner and film distributor Jean Desmet’s digitised business archive, this article discusses how computational approaches may facilitate the archive’s unlocking for researchers in the Dutch national research infrastructure – CLARIAH –Media Suite. To this end, the article considers previous computational approaches to film- related sources in New Cinema History research in a historical perspective, suggesting a novel approach which combines text mining and visual classification. The article argues that such a combination is necessary to yield results which reflect the archive’s material heterogeneity and complexity, and that it offers a new direction for computational approaches in New Cinema History and their conceptualisations of film-related materials as historical sources.

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9

Upton, Julian. "Innocence Unprotected? Permissiveness and the AA Certificate 1970–82." Journal of British Cinema and Television 14, no. 1 (January 2017): 64–76. http://dx.doi.org/10.3366/jbctv.2017.0352.

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This article focuses on the British Board of Film Censors' (BBFC) relatively short-lived AA certificate, launched in 1970 in a revamp of the classification system amidst increasingly heated arguments around ‘permissiveness’ and the cinema. The AA was introduced by BBFC Secretary John Trevelyan in order to reduce the ubiquity of X-certificated films and to acknowledge a liberalisation of attitudes in the classification of material for teenage audiences. Although it arguably failed overall to meet its broader, progressive objectives, the AA did represent a degree of censorial relaxation and had the potential to help to bring British film classification further in line with the more relaxed systems in western Europe and the US. However, the rating met with trouble from the outset, with hostility from exhibitors, confusion from audiences and apathy from film distributors. Furthermore, its application would be restrained by excessive caution, indecisiveness and ‘quality’ concerns on the part of the BBFC, and ultimately would fall foul of a renewed vigilance around film censorship that took hold in Britain in the early 1980s.

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10

Yang, Yu-Pu, Te-Yun Lu, Hsiao-Han Lo, Wei-Lun Chen, Peter J. Wang, Walter Lai, Yiin-Kuen Fuh, and Tomi T. Li. "Machine Learning Assisted Classification of Aluminum Nitride Thin Film Stress via In-Situ Optical Emission Spectroscopy Data." Materials 14, no. 16 (August 8, 2021): 4445. http://dx.doi.org/10.3390/ma14164445.

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In this study, we submit a complex set of in-situ data collected by optical emission spectroscopy (OES) during the process of aluminum nitride (AlN) thin film. Changing the sputtering power and nitrogen(N2) flow rate, AlN film was deposited on Si substrate using a superior sputtering with a pulsed direct current (DC) method. The correlation between OES data and deposited film residual stress (tensile vs. compressive) associated with crystalline status by X-ray diffraction spectroscopy (XRD), scanning electron microscope (SEM), and transmission electron microscope (TEM) measurements were investigated and established throughout the machine learning exercise. An important answer to know is whether the stress of the processing film is compressive or tensile. To answer this question, we can access as many optical spectra data as we need, record the data to generate a library, and exploit principal component analysis (PCA) to reduce complexity from complex data. After preprocessing through PCA, we demonstrated that we could apply standard artificial neural networks (ANNs), and we could obtain a machine learning classification method to distinguish the stress types of the AlN thin films obtained by analyzing XRD results and correlating with TEM microstructures. Combining PCA with ANNs, an accurate method for in-situ stress prediction and classification was created to solve the semiconductor process problems related to film property on deposited films more efficiently. Therefore, methods for machine learning-assisted classification can be further extended and applied to other semiconductors or related research of interest in the future.

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11

Dickie, John. "Future Directions in Film and Video Classification." Current Issues in Criminal Justice 1, no. 1 (October 1989): 107–27. http://dx.doi.org/10.1080/10345329.1989.12036451.

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12

Preis, Maren, Christina Woertz, Peter Kleinebudde, and Jörg Breitkreutz. "Oromucosal film preparations: classification and characterization methods." Expert Opinion on Drug Delivery 10, no. 9 (June 17, 2013): 1303–17. http://dx.doi.org/10.1517/17425247.2013.804058.

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13

Dukalskis, Alexander, and Zachary Hooker. "Legitimating totalitarianism: Melodrama and mass politics in North Korean film." Communist and Post-Communist Studies 44, no. 1 (February 19, 2011): 53–62. http://dx.doi.org/10.1016/j.postcomstud.2011.01.006.

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This article attempts to analyze the construction and maintenance of political legitimacy in North Korea through the lens of its state-produced films. After classifying North Korea’s regime as totalitarian, we then discuss the strategies of legitimation available given this classification, and highlight the importance of ideology therein. Next, we demonstrate the importance of film within North Korea’s ideological apparatus and thematically analyze six North Korean films dating from 1948–2006. From this analysis, we situate the social role of film in contemporary North Korea and argue that it will remain a crucial force amongst the country’s various attempts to maintain legitimacy.

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14

Seung Heum Hwang. "The Exception and Self-regulation of Game Classification in comparison to Film Classification." KOOKMIN LAW REVIEW 26, no. 3 (February 2014): 355–92. http://dx.doi.org/10.17251/legal.2014.26.3.355.

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15

Yang, Young-Chul. "Establishing Plan for Non-governmental Film Classification System." Journal of the Korea Contents Association 14, no. 12 (December 28, 2014): 598–606. http://dx.doi.org/10.5392/jkca.2014.14.12.598.

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16

Mlyahilu, John, Youngbong Kim, and Jongnam Kim. "Classification of 3D Film Patterns with Deep Learning." Journal of Computer and Communications 07, no. 12 (2019): 158–65. http://dx.doi.org/10.4236/jcc.2019.712015.

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17

Hee Lin Wang and Loong-Fah Cheong. "Taxonomy of Directing Semantics for Film Shot Classification." IEEE Transactions on Circuits and Systems for Video Technology 19, no. 10 (October 2009): 1529–42. http://dx.doi.org/10.1109/tcsvt.2009.2022705.

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18

Chun-Rong, Zhu, and Qu Chang-Zheng. "Classification and Reduction of Generalized Thin Film Equations." Communications in Theoretical Physics 52, no. 3 (September 2009): 403–10. http://dx.doi.org/10.1088/0253-6102/52/3/05.

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19

Ardila, J. A. Garrido. "Don Quixote in Film (2005-2015)." Open Cultural Studies 1, no. 1 (October 26, 2017): 194–202. http://dx.doi.org/10.1515/culture-2017-0018.

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Abstract This article is a first approximation to the analysis of Quixote films released between 2005 and 2015. The analysis of these 68 productions shows a widespread international interest in Don Quixote across more than 20 countries in three continents, with the US as the powerhouse of Quixote films with 22 pictures, followed by Spain with seventeen. This analysis observes four categories of Quixote films-adaptations, sequels, imitations, and documentaries. The nine adaptations abridge the plot of Cervantes’s novel. The 16 sequels tell of Don Quixote’s new adventures outwith Cervantes’s novel or include Don Quixote as a supporting character. The 35 imitations deploy the Quixotic myth, where a Quixotic protagonist is a dreamer in search of an ideal, a loner in a hostile society, or a character deployed to parody a film genre or a social trend. This classification reveals the tendencies in today’s use of Cervantes’s hero on film. Furthermore, the variety and the quantity of Quixote films confirm them as a well-established film genre and are a testament to Don Quixote’s status as an international cultural icon known and loved worldwide.

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20

Hyun, Seung Hoon. "Audience's Subjectivity Types according to Film Classification : Focused on the Classification over 18 allowed." Cine forum 22 (December 31, 2015): 413. http://dx.doi.org/10.19119/cf.2015.12.22.413.

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21

Duan, Jinhui, and Rui Gao. "Research on English Movie Resource Information Mining Based on Dynamic Data Stream Classification." Security and Communication Networks 2021 (March 24, 2021): 1–10. http://dx.doi.org/10.1155/2021/5518913.

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Massive English film and television resources will provide people with a rich content, while it has become more and more difficult for people to find the resources and information they need. Through the analysis of massive amounts of film and television data, the application system can effectively push the works that users may like. In response to this problem, we can build an English film and television resource information mining model by combining fuzzy neural network algorithms and dynamic data stream classification technology. Firstly, we use dynamic data stream classification technology to preprocess and screen English film and television resource information. Secondly, we use the fuzzy neural network algorithm to conduct data mining on related film and television resource information. The experimental results verify the superior performance of the English film and television resource information mining model established in this paper. This model can help people to find the resources and information they need.

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22

Adejoh, T., S. W. I. Onwuzu, F. B. Nkubli, and N. C. Ikegwuonu. "Film-Screen Radiographic Artefacts: A Paradigm Shift in Classification." Open Journal of Medical Imaging 04, no. 03 (2014): 108–11. http://dx.doi.org/10.4236/ojmi.2014.43015.

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23

Shih, Weir-Sheng. "Film classification based on low-level visual effect features." Journal of Electronic Imaging 17, no. 2 (April 1, 2008): 023011. http://dx.doi.org/10.1117/1.2907215.

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24

Tuyen Le, Ngoc, Jing-Wein Wang, Meng-Hsiang Shih, and Chou-Chen Wang. "Novel Framework for Optical Film Defect Detection and Classification." IEEE Access 8 (2020): 60964–78. http://dx.doi.org/10.1109/access.2020.2982250.

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25

Remeseiro, Beatriz, Veronica Bolon-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdinas, Antonio Mosquera, Manuel G. Penedo, and Noelia Sanchez-Marono. "A Methodology for Improving Tear Film Lipid Layer Classification." IEEE Journal of Biomedical and Health Informatics 18, no. 4 (July 2014): 1485–93. http://dx.doi.org/10.1109/jbhi.2013.2294732.

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26

Rasheed, Z., Y. Sheikh, and M. Shah. "On the use of computable features for film classification." IEEE Transactions on Circuits and Systems for Video Technology 15, no. 1 (January 2005): 52–64. http://dx.doi.org/10.1109/tcsvt.2004.839993.

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27

Ha, Le An, and Emad Mohamed. "Combining Text and Images for Film Age Appropriateness Classification." Procedia Computer Science 189 (2021): 242–49. http://dx.doi.org/10.1016/j.procs.2021.05.087.

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28

Zhu, Xueyuan, Ying Li, Qiang Zhang, and Bingxin Liu. "Oil Film Classification Using Deep Learning-Based Hyperspectral Remote Sensing Technology." ISPRS International Journal of Geo-Information 8, no. 4 (April 6, 2019): 181. http://dx.doi.org/10.3390/ijgi8040181.

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Marine oil spills seriously impact the marine environment and transportation. When oil spill accidents occur, oil spill distribution information, in particular, the relative thickness of the oil film, is vital for emergency decision-making and cleaning. Hyperspectral remote sensing technology is an effective means to extract oil spill information. In this study, the concept of deep learning is introduced to the classification of oil film thickness based on hyperspectral remote sensing technology. According to the spatial and spectral characteristics, the stacked autoencoder network model based on the support vector machine is improved, enhancing the algorithm’s classification accuracy in validating data sets. A method for classifying oil film thickness using the convolutional neural network is designed and implemented to solve the problem of space homogeneity and heterogeneity. Through numerous experiments and analyses, the potential of the two proposed deep learning methods for accurately classifying hyperspectral oil spill data is verified.

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29

Kapka, Alexandra. "‘Cuts are not a viable option’: The British Board of Film Classification, Hate Crime and Censorship for Adults in the Digital Age." Journal of British Cinema and Television 14, no. 1 (January 2017): 77–97. http://dx.doi.org/10.3366/jbctv.2017.0353.

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In March 2015 the British Board of Film Classification (BBFC) refused to classify James Cullen Bressack's independent film, Hate Crime (2012). This was the Board's first explicit rejection of a film since 2011, and undermines their attempts to portray themselves as increasingly lenient, in favour of free choice for adults and open about their processes. This case is of particular interest as the film was to be distributed solely via an online video-on-demand platform. Hate Crime has the dubious honour of being the first film to be refused an eighteen certificate under revised regulations pertaining to the streamed Internet distribution of feature films in the UK. Furthermore, this case raises questions about genre boundaries, and about the definition and prioritisation of art cinema within UK institutions. This article engages with the BBFC's refusal to classify Hate Crime in the light of this particular distribution context. Focusing on media industry, genre and gender studies, the article explores whether or not the BBFC's decision can be justified and, further, what the consequences of this certification refusal might be in the current media landscape. It suggests that the BBFC's approach might be out of kilter with the digital world and in this case demonstrates a misunderstanding of genre conventions and an unequivocal bias in favour of art-house cinema.

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30

Kalenichenko, Mariya Vladimirovna. "The works of Leningrad popular science film studio “Lennauchfilm” in the 1970s – 1980s." Культура и искусство, no. 4 (April 2021): 19–29. http://dx.doi.org/10.7256/2454-0625.2021.4.35584.

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This article is dedicated to examination of works of the film directors of the Leningrad popular science film studio “Lennauchfilm” in the 1970s – 1980s. Based on the archival documents presented in the Central Archive of Literature and Art of Saint Petersburg, the author analyzes the work of the film studio: carries out classification of filmography by formal-semantic criterion, as well as determines the key processes typical to this time period. The following main trends are highlighted: natural science, technical-propagandistic, historical-revolutionary, military-patriotic, social life, history of art and culture. Special attention is given to the films that cover the topics, which have not previously been included in the field of popular science cinematography. The novelty of this research lies in classification of the thematic trends of the Leningrad film studio as an integral artistic system, as well as in comparison of the plots of popular science film texts by each direction over the two decades. As a result, the author identified the main trends, which broadened the thematic field in the work of the studio, as well as fundamentally changed the representations on the goals and tasks of popular science cinematography. The key object of popular science cinematography is being shifted during the Perestroika period. Emphasis is place not on science and technological achievements, but human and society. Film directors through their works conveyed the attitude of society towards science, raising the questions of transformation of ethics and morality in the context of scientific and technological revolution. The idea of the harm of scientific achievements and responsibility of the scholars before society is being advanced. Without any doubt, the works of the Leningrad film directors broadened the ideological-artistic range by offering the own vision of specificity of the Soviet popular science cinematography.

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31

Solovyova, Maria V. "Screen Self-Reflection: Classification of Species." Journal of Flm Arts and Film Studies 10, no. 2 (June 15, 2018): 85–94. http://dx.doi.org/10.17816/vgik10285-94.

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This article is devoted to the phenomenon of filmic self-reflection and its variations basing on I. Bergmans Wild Strawberries / Smultronstllet, Hour Of The Wolf / Vargtimmen, The Seventh Seal / Det sjunde inseglet. The differentiation between the notions of the authors filmic self-reflection and the characters self-reflection is marked. The author of the article draws out the notion of the helmers self-reflection and the characters one through the examples from other disciplines (philosophy, psychology, literary criticism). The analysis of the authors filmic self-reflection and the characters reflection is carried out basing on the films by I. Bergman and in the context of his subsequent statements. Since Bergman is both director and scriptwriter of majority of his films, he grounds them on his personal experience and emotional baggage. Notwithstanding this fact the scenes of these films are not precise reproduction of the reality. Based on sensual experience they are meticulously developed in its dramatic aspect. The characters self-reflection in the plots of Wild Strawberries, Hour Of The Wolf and The Seventh Seal is considered as a screenwriting tool that could help to expose the versatility of their interior worlds. Three kinds of characters selfreflection are pointed out: retrospective, introspective and prospective. Retrospective self-reflection is described on the example of Wild Strawberries. Permanent reference of the protagonist Isak Borg to the different milestones of his life becomes the principal tool of the plotting. Such kind of film narration gives an opportunity to highlight the emotional state of the hero and to unfold his way of thinking. As an example of introspective self-reflection Hour of The Wolf is analyzed. Here self-reflection of the protagonist also serves as the basis of the story. However Uhan Borg (unlike his namesake Isak Borg) does not do a journey through all his life lived but wanders in the labyrinths of his creative consciousness. Prospective filmic self-reflection is clarified on the example of The Seventh Seal. Fear of upcoming death of Knight Block is personified in the image of Angel of Death. Such the tool allows to reveal the thoughts of the characters about their future, to express their fears and dreams.

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32

Altarazi, Safwan, Rula Allaf, and Firas Alhindawi. "Machine Learning Models for Predicting and Classifying the Tensile Strength of Polymeric Films Fabricated via Different Production Processes." Materials 12, no. 9 (May 7, 2019): 1475. http://dx.doi.org/10.3390/ma12091475.

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In this study, machine learning algorithms (MLA) were employed to predict and classify the tensile strength of polymeric films of different compositions as a function of processing conditions. Two film production techniques were investigated, namely compression molding and extrusion-blow molding. Multi-factor experiments were designed with corresponding parameters. A tensile test was conducted on samples and the tensile strength was recorded. Predictive and classification models from nine MLA were developed. Performance analysis demonstrated the superior predictive ability of the support vector machine (SVM) algorithm, in which a coefficient of determination and mean absolute percentage error of 96% and 4%, respectively were obtained for the extrusion-blow molded films. The classification performance of the MLA was also evaluated, with several algorithms exhibiting excellent performance.

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33

Wilson, Kate. "Offensive Language and Serious Harm: Application of the Films, Videos, and Publications Classification Act 1993." Victoria University of Wellington Law Review 48, no. 1 (May 1, 2017): 163. http://dx.doi.org/10.26686/vuwlr.v48i1.4764.

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Section 3A of the Films, Videos, and Publications Classification Act 1993 allows age-restriction of a publication if it contains highly offensive language that is likely to cause serious harm. The Office of Film and Literature Classification and the Film and Literature Board of Review have failed to apply this section consistently. They have categorised the same word as both offensive and not offensive and the same harm as serious and not serious throughout their reports. They have also avoided substantive consideration of the New Zealand Bill of Rights Act 1990. An analysis of social science research provides a solid grounding on which the requirements of the section could be applied. Additionally, a more thorough analysis of the severity of harm could be reached through a comprehensive application of the New Zealand Bill of Rights Act 1990. Harm should be balanced against the merits of the publication and the importance of freedom of expression in order to determine whether it is serious enough to justify a restriction. This approach would lead to fewer restrictions under s 3A and consistency throughout future decisions.

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34

Kishchenko, Victoria M., Vladislav V. Vernikovsky, Igor M. Privalov, and Aleksander M. Shevchenko. "FILMS IN RUSSIAN MEDICINE AND COSMETOLOGY: DEVELOPMENT HISTORY, CLASSIFICATION, TECHNOLOGY." Pharmacy & Pharmacology 8, no. 2 (October 14, 2020): 124–32. http://dx.doi.org/10.19163/2307-9266-2020-8-2-124-132.

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Since the moment of their appearance in the second half of the 20th century, application forms have attracted the attention of the specialists involved in the skin application of pharmacologically active agents. Herewith, both localized exposure to the external integuments and the possibility of achieving a systemic effect, are of interest. The range of products used in modern films, is also wide – from pharmaceutical substances to biologically active components of cosmetics.The aim of the present work is to study the current state of research in the field of the creation and improvement of medicinal and cosmeceutical films.Materials and methods. The study was conducted on the base of patent information (fips.ru, findpatent.ru) and information and search databases - the State register of medicines (grls.rosminzdrav.ru) and the data from the Federal accreditation service (www.fsa.gov.ru), as well as scientific libraries (Google Scholar, eLIBRARY, PubMed) and reference literature.Results. Native and foreign medicinal films have longer than a 50-year history of their existence in the pharmaceutical market. Modern scientists’ interest in this application form, does not fade away due to a great number of its positive characteristics. In addition to pharmaceutical applications, films are widely used in cosmetics in the form of masks applied to the skin. Biologically active substances are widely used in cosmetics which, in recent years, has led to the emergence of a group of cosmeceutical products that combine medical and cosmetic films. The article also discusses film manufacturing technology, active substances, as well as polymers used for medicinal and cosmetic films presented in the Russian market.Conclusion. The analysis of the literature data makes it possible to conclude that the development of films is promising in both medicine and cosmeceuticals.

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35

张, 媛媛. "An Optical Characterization of Film Defect Based on the Classification." Material Sciences 01, no. 01 (2011): 23–29. http://dx.doi.org/10.12677/ms.2011.11005.

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36

Benatan, Matt, and Kia Ng. "Cross-covariance-based features for speech classification in film audio." Journal of Visual Languages & Computing 31 (December 2015): 215–21. http://dx.doi.org/10.1016/j.jvlc.2015.10.011.

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37

Kang, Wan Seok, Hyun Tae Choi, Min Ahn, and In Cheon You. "The Change of Tear Film in Classification of Diabetic Retinopathy." Journal of the Korean Ophthalmological Society 55, no. 4 (2014): 486. http://dx.doi.org/10.3341/jkos.2014.55.4.486.

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Sato, Harumi, Noboru Higashi, Akifumi Ikehata, Noriko Koide, and Yukihiro Ozaki. "Potential of Far-Ultraviolet Absorption Spectroscopy as a Highly Sensitive Qualitative and Quantitative Analysis Method for Polymer Films, Part I: Classification of Commercial Food Wrap Films." Applied Spectroscopy 61, no. 7 (July 2007): 780–83. http://dx.doi.org/10.1366/000370207781393415.

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The aim of the present study is to propose a totally new technique for the utilization of far-ultraviolet (UV) spectroscopy in polymer thin film analysis. Far-UV spectra in the 120–300 nm region have been measured in situ for six kinds of commercial polymer wrap films by use of a novel type of far-UV spectrometer that does not need vacuum evaporation. These films can be straightforwardly classified into three groups, polyethylene (PE) films, polyvinyl chloride (PVC) films, and polyvinylidene chloride (PVDC) films, by using the raw spectra. The differences in the wavelength of the absorption band due to the σ–σ* transition of the C–C bond have been used for the classification of the six kinds of films. Using this method, it was easy to distinguish the three kinds of PE films and to separate the two kinds of PVDC films. Compared with other spectroscopic methods, the advantages of this technique include nondestructive analysis, easy spectral measurement, high sensitivity, and simple spectral analysis. The present study has demonstrated that far-UV spectroscopy is a very promising technique for polymer film analysis.

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Anshari, Irham Nur. "Sistem Klasiﬁ kasi dalam Pemutaran Film: Studi Kasus Klasiﬁ kasi Film di Kinoki." Jurnal Ilmu Sosial dan Ilmu Politik 17, no. 3 (September 21, 2016): 220. http://dx.doi.org/10.22146/jsp.13087.

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This article concerns with the background, implementation, public acceptance and evaluation of theapplication of classification system as film regulation by Kinoki, an alternative screening space inYogyakarta (2005-2011). The research adopted in this article is case studies. From the studies it is seenthat the implementation of classiﬁ cation system at Kinoki is an eﬀ ort to protect ﬁ lm viewers, while theapplication itself is more as a guideline for the viewers, yet so far public awareness and acceptance to thissystem is limited.

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Miller, Laurence. "Classification of Psychopathology According to a Scientific (Psychology and Psychiatry) and an Artistic (Film Noir) Perspective." Psychological Reports 61, no. 1 (August 1987): 287–99. http://dx.doi.org/10.2466/pr0.1987.61.1.287.

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Psychopathology can be studied from a scientific or artistic perspective. While there are important differences between the two perspectives, similarities also exist. Recognition of these similarities and differences provides a treatment of psychopathology different than that provided by either perspective alone. The classification by the sciences of psychology and psychiatry and the art-form motion picture genre called film noir is discussed. Film noir was chosen because, like psychology and psychiatry, psychopathology plays a central role, and it is presented in a cohesive and consistent manner. Classification is discussed in the context of the Diagnostic and Statistical Manual of Mental Disorders (DSM). If film noir is classified according to DSM, it can be seen that film noir presented almost all of the classes of psychopathology and many of the categories, as well as several other important aspects about psychopathology.

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Skowrońska, Dorota. "Constructed Languages of Hildegard of Bingen and Suzzette Haden Elgin. Female Empowerment through Language?" Forum Filologiczne Ateneum, no. 1(6)2018 (December 31, 2018): 101–12. http://dx.doi.org/10.36575/2353-2912/1(6)2018.101.

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Since constructed languages have recently been brought into focus by their prominent presence in film and television production, they have also become more attractive for academic research: several compendia, monographs, and articles have been published on the topic of classification and analysis of conlangs. Glossopoeia of Hildegard of Bingen and Suzette Haden Elgin is unique among the plethora of constructed languages in several aspects: elusive classification, unusual lexical focus, high level of completeness, and female authorship. The article investigates possible classifications of lingua ignota and Láadan, and their grammatical, lexical, and phonological characteristics. It also aims to establish the success of the languages measured against their goal stated or implied by their inventresses and the objectives generally set for constructed languages.

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Gereige, Issam, and Stéphane Robert. "Application of neural classification in ellipsometry for robust thin-film characterizations." Thin Solid Films 518, no. 15 (May 2010): 4091–94. http://dx.doi.org/10.1016/j.tsf.2009.10.152.

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Choi, Nak-Jin, Jun-Hyuk Kwak, Yeon-Tae Lim, Tae-Hyun Bahn, Ky-Yeol Yun, Jae-Chang Kim, Jeung-Soo Huh, and Duk-Dong Lee. "Classification of chemical warfare agents using thick film gas sensor array." Sensors and Actuators B: Chemical 108, no. 1-2 (July 2005): 298–304. http://dx.doi.org/10.1016/j.snb.2004.11.022.

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Chen, Xinqi, Wei Dai, Tian Wu, Wei Luo, Jianping Yang, Wan Jiang, and Lianjun Wang. "Thin Film Thermoelectric Materials: Classification, Characterization, and Potential for Wearable Applications." Coatings 8, no. 7 (July 10, 2018): 244. http://dx.doi.org/10.3390/coatings8070244.

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Brown, Noel. "The Feel-Good Film: A Case Study in Contemporary Genre Classification." Quarterly Review of Film and Video 32, no. 3 (December 20, 2014): 269–86. http://dx.doi.org/10.1080/10509208.2013.811357.

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Grealy, Liam, Catherine Driscoll, Bin Wang, and Yongchun Fu. "Resisting age-ratings in China: The ongoing prehistory of film classification." Asian Cinema 30, no. 1 (April 1, 2019): 53–71. http://dx.doi.org/10.1386/ac.30.1.53_1.

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Yu Yang Geun. "The Generation Classification of the Japanese Film Directors and Nouvell Vague." Film Studies ll, no. 31 (April 2007): 105–25. http://dx.doi.org/10.17947/kfa..31.200704.005.

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Álvarez, Federico, Faustino Sánchez, Gustavo Hernández-Peñaloza, David Jiménez, José Manuel Menéndez, and Guillermo Cisneros. "On the influence of low-level visual features in film classification." PLOS ONE 14, no. 2 (February 22, 2019): e0211406. http://dx.doi.org/10.1371/journal.pone.0211406.

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Scott, Amanda L. "Using Library of Congress Classification with Musicals and Operas on Film." Music Reference Services Quarterly 19, no. 3-4 (October 2016): 179–90. http://dx.doi.org/10.1080/10588167.2016.1250581.

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Chun, Young-Ho, Seong-Don Kim, Jong-Jin Park, and Jun-Sung Bae. "Classification Evaluation of Electrolyte Thin Film Coating Thickness using Supervised Learning." Journal of the Korea Management Engineers Society 25, no. 4 (December 31, 2020): 55–61. http://dx.doi.org/10.35373/kmes.25.4.4.

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