scholarly journals VHS Archives, Committed Media Praxis, and “Queer Cinema”

2021 ◽  
pp. 625-652
Author(s):  
Alexandra Juhasz
Keyword(s):  
The Body ◽  
Web Based ◽  
Queer Cinema ◽  
Aids Activism

Committed media praxis is a doing as much as it is a knowing. Queerness is a manner of being as much as it is a politics, theory, or set of modish objects. This chapter about topics that are also processes—queer, media praxis, cinema—performs these across two acts: “Part 1: A Hesitant or Maybe Just Slightly Defiant Preamble,” is a creative unfolding, in the body of the text and as much so in its footnotes, of the author’s “queer feminist media praxis”: “Part 2: VHS Archives” is a demonstration of VHS Archives, a multisited, many-yeared project in experimental pedagogy, web-based archival engagement, and committed activist interventions into contemporary AIDS activism and queer media.

Understanding Semantic Web: a conceptual model

2015 ◽  
Vol 64 (1/2) ◽  
pp. 82-100 ◽  
Author(s):  
Michael Calaresu ◽  
Ali Shiri
Keyword(s):  
Semantic Web ◽  
Conceptual Model ◽  
The Body ◽  
Three Dimensional Model ◽  
Conceptual Approach ◽  
Web Based ◽  
Content Type ◽  
Software Applications ◽  
Web Architecture ◽  
The Web

Purpose – The purpose of this article is to explore and conceptualize the Semantic Web as a term that has been widely mentioned in the literature of library and information science. More specifically, its aim is to shed light on the evolution of the Web and to highlight a previously proposed means of attempting to improve automated manipulation of Web-based data in the context of a rapidly expanding base of both users and digital content. Design/methodology/approach – The conceptual analysis presented in this paper adopts a three-dimensional model for the discussion of Semantic Web. The first dimension focuses on Semantic Web’s basic nature, purpose and history, as well as the current state and limitations of modern search systems and related software agents. The second dimension focuses on critical knowledge structures such as taxonomies, thesauri and ontologies which are understood as fundamental elements in the creation of a Semantic Web architecture. In the third dimension, an alternative conceptual model is proposed, one, which unlike more commonly prevalent Semantic Web models, offers a greater emphasis on describing the proposed structure from an interpretive viewpoint, rather than a technical one. This paper adopts an interpretive, historical and conceptual approach to the notion of the Semantic Web by reviewing the literature and by analyzing the developments associated with the Web over the past three decades. It proposes a simplified conceptual model for easy understanding. Findings – The paper provides a conceptual model of the Semantic Web that encompasses four key strata, namely, the body of human users, the body of software applications facilitating creation and consumption of documents, the body of documents themselves and a proposed layer that would improve automated manipulation of Web-based data by the software applications. Research limitations/implications – This paper will facilitate a better conceptual understanding of the Semantic Web, and thereby contribute, in a small way, to the larger body of discourse surrounding it. The conceptual model will provide a reference point for education and research purposes. Originality/value – This paper provides an original analysis of both conceptual and technical aspects of Semantic Web. The proposed conceptual model provides a new perspective on this subject.

scholarly journals Accident investigation related to the use of chainsaw

2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Sirio Rossano Secondo Cividino ◽  
Rino Gubiani ◽  
Gianfranco Pergher ◽  
Daniele Dell’Antonia ◽  
Emiliano Maroncelli
Keyword(s):  
Causative Agent ◽  
The State ◽  
The Body ◽  
Unskilled Worker ◽  
Thematic Maps ◽  
Accident Investigation ◽  
Web Based ◽  
Exposed Area ◽  
Serious Injury ◽  
Technical Solutions

Operating in woods might be highly dangerous as it takes place in hard environments because of slopes, uneven ground and the presence of the underwood that may prevent machines and operators from moving. The chainsaw is a widely-used tool in agriculture, in forestry as well as for professional and hobby-related purposes. This article has the aim to highlight the state of injuries both for professional and domestic uses. The research focused on web-based report of news published between 2007 and 2012 about mortal and non-mortal accidents occurred in Italy and involving people who were using a chainsaw. On the whole, 336 cases were collected over a 5-year period. The results of the work are represented by a series of thematic maps related to the causative agent, the age of the injured and the seat of the injury. Furthermore, it is confirmed that the operator’s head is the most exposed area of the body and is often correlated with the death of the operator (death is often due to collision against the chainsaw blade, facial traumas as well sudden contact with parts of the plant). The study shows the dangers of chainsaw. Even workers experts are involved in serious injury and death. The study highlights the needing of looking for technical solutions and specific procedures for training unskilled worker.

Recent Advances in the Evaluation of Ontology Quality

2019 ◽  
pp. 326-348
Author(s):  
Niyati Baliyan ◽  
Ankita Verma
Keyword(s):  
The Body ◽  
Critical Importance ◽  
Web Based ◽  
Domain Specific ◽  
Ontology Evaluation ◽  
Body Of Knowledge ◽  
Modular Ontology ◽  
Ontology Quality ◽  
State Of Art

Ontology or domain specific vocabulary is indispensable to a semantic web-based application; therefore, its evaluation assumes critical importance for maintaining the quality. A modular ontology is intuitively preferred to as a monolithic ontology. A good quality modular ontology, in turn, promotes reusability. This chapter is directed at summarizing the efforts towards ontology evaluation, besides defining the process of evaluation, various approaches to evaluation and underlying motivation. In particular, a modular ontology's cohesion and coupling metrics have been discussed in detail as a case study. The authors believe that the body of knowledge in this chapter will serve as a beginning point for ontology quality engineers and at the same time acquaint them with the state-of-art in this field.

scholarly journals Profiling Commenters on Mental Health–Related Online Forums: A Methodological Example Focusing on Eating Disorder–Related Commenters

10.2196/12555 ◽  
2019 ◽  
Vol 6 (4) ◽  
pp. e12555 ◽  
Author(s):  
Duncan McCaig ◽  
Mark T Elliott ◽  
Cynthia SQ Siew ◽  
Lukasz Walasek ◽  
Caroline Meyer
Keyword(s):  
Mental Health ◽  
Eating Disorder ◽  
Network Analysis ◽  
Community Detection ◽  
The Body ◽  
Future Research ◽  
Psychological Interventions ◽  
Online Forums ◽  
Web Based ◽  
Health Related

Background Understanding the characteristics of commenters on mental health–related online forums is vital for the development of effective psychological interventions in these communities. The way in which commenters interact can enhance our understanding of their characteristics. Objective Using eating disorder–related (EDR) forums as an example, this study detailed a methodology that aimed to determine subtypes of mental health–related forums and profile their commenters based on the other forums to which they contributed. Methods The researchers identified all public EDR forums (with ≥500 contributing commenters between March 2017 and February 2018) on a large Web-based discussion platform (Reddit). A mixed-methods approach comprising network analysis with community detection, text mining, and manual review identified subtypes of EDR forums. For each subtype, another network analysis with community detection was conducted using the EDR forum commenter overlap between 50 forums on which the commenters also commented. The topics of forums in each detected community were then manually reviewed to identify the shared interests of each subtype of EDR forum commenters. Results Six subtypes of EDR forums were identified, to which 14,024 commenters had contributed. The results focus on 2 subtypes—proeating disorder and thinspiration—and communities of commenters within both subtypes. Within the proeating disorder subtype, 3 communities of commenters were detected that related to the body and eating, mental health, and women, appearance, and mixed topics. With regard to the thinspiration group, 78.17% (849/1086) of commenters had also commented on pornographic forums and 16.66% (181/1086) had contributed to proeating disorder forums. Conclusions The article exemplifies a methodology that provides insight into subtypes of mental health–related forums and the characteristics of their commenters. The findings have implications for future research and Web-based psychological interventions. With the publicly available data and code provided, researchers can easily reproduce the analyses or utilize the methodology to investigate other mental health–related forums.

scholarly journals Comparison of The Data-Mining Methods in Predicting The Risk Level of Diabetes

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Andri Permana Wicaksono ◽  
Tessy Badriyah ◽  
Achmad Basuki
Keyword(s):  
Data Mining ◽  
Bayesian Method ◽  
Operating Characteristic ◽  
The Body ◽  
Risk Level ◽  
Web Based ◽  
Accuracy Measurement ◽  
Logistic Method ◽  
High Glucose Level ◽  
Roc Score

Mellitus Diabetes is an illness that happened in consequence of the too high glucose level in blood because the body could not release or use insulin normally. The purpose of this research is to compare the two methods in The data-mining, those are a Regression Logistic method and a Bayesian method, to predict the risk level of diabetes by web-based application and nine attributes of patients data. The data which is used in this research are 1450 patients that are taken from RSD BALUNG JEMBER, by collecting data from 26 September 2014 until 30 April 2015. This research uses performance measuring from two methods by using discrimination score with ROC curve (Receiver Operating Characteristic).  On the experiment result, it showed that two methods, Regression Logistic method and Bayesian method, have different performance excess score and are good at both. From the highest accuracy measurement and ROC using the same dataset, where the excess of Bayesian has the highest accuracy with 0,91 in the score while Regression Logistic method has the highest ROC score with 0.988, meanwhile on Bayesian, the ROC is 0.964. In this research, the plus of using Bayesian is not only can use categorical but also numerical.

scholarly journals Reforming the MBA: a survey of elite British universities

2018 ◽  
Vol 37 (5) ◽  
pp. 397-408
Author(s):  
David William Stoten
Keyword(s):  
Business Schools ◽  
The Body ◽  
Senior Managers ◽  
Web Based ◽  
Content Type ◽  
Mba Students ◽  
Management Positions ◽  
The Usa ◽  
Fit For Purpose ◽  
The Uk

PurposeThe purpose of this paper is to explore the response of British business schools to criticism levied against the MBA.Design/methodology/approachThe content of elite British MBAs was surveyed using web-based research. This followed the approach adopted by Navarro (2008) in his analysis of MBA curricula in the USA.FindingsThe findings suggest that there is significant innovation and diversity within British business schools as they search for more effective ways of preparing MBA students for senior management positions.Research limitations/implicationsThis survey was limited by the sample size of the top-10 MBAs in the UK. The results do provide an insight into the curriculum development that is occurring within elite institutions.Practical implicationsThis paper not only refutes much of the criticism of the MBA but also provides evidence of the evolution of the degree.Originality/valueThis paper contributes to the body of research relating to the MBA as the premier qualification for senior managers. It details the progress made in the UK in making the degree fit for purpose.

When Are You Going to Catch Up with Me?

2020 ◽  
Vol 35 (3) ◽  
pp. 116-131
Author(s):  
Shu Lea Cheang ◽  
Alexandra Juhasz
Keyword(s):  
The Body ◽  
Aids Activism ◽  
Catch Up

“Digital nomad” Shu Lea Cheang and friend and critic Alexandra Juhasz consider the reasons for and implications of the censorship of Cheang’s 2017 film FLUIDØ, particularly as it connects to their shared concerns in AIDS activism, feminism, pornography, and queer media. They consider changing norms, politics, and film practices in relation to technology and the body. They debate how we might know, and what we might need, from feminist-queer pornography given feminist-queer engagements with our bodies and ever more common cyborgian existences. Their informal chat opens a window onto the interconnections and adaptations that live between friends, sex, technology, illness, feminism, and representation.

scholarly journals Penerapan Inferensi Backward Chaining Pada Sistem Pakar Diagnosa Awal Penyakit Tulang

2018 ◽  
Vol 5 (1) ◽  
pp. 50-60 ◽  
Author(s):  
Asti Herliana ◽  
Visqia Ade Setiawan ◽  
Rizki Tri Prasetio
Keyword(s):  
Decision Support ◽  
Early Diagnosis ◽  
Bone Disease ◽  
Clinical Decision Support System ◽  
Clinical Decision ◽  
The Body ◽  
Public Knowledge ◽  
Web Based ◽  
Backward Chaining ◽  
Early Diagnose

Abstrak Tulang merupakan bagian yang sangat penting di dalam bagian ortopedi manusia. Tulang bukan hanya kerangka penguat tubuh tetapi juga merupakan bagian dari susunan sendi, sebagai pelindung tubuh, tempat melekatnya bagian ujung otot yang melekat pada tulang. Terbatasnya jumlah pakar Penyakit Tulang serta minimnya pengetahuan masyarakat tentang penyakit tulang menjadi kendala mengapa penyakit ini tidak mudah diatasi. Banyaknya gejala yang mirip untuk menentukan suatu penyakit Tulang. Dari masalah diatas maka dibuatlah aplikasi sistem pakar diagnosa awal penyakit tulang. Dari penelitian yang dilakukan menghasilkan sebuah perangkat lunak Sistem Pendukung Keputusan Klinis berbasis web untuk diagnosa Penyakit Tulang. Informasi yang dihasilkan adalah hasil diagnosa penyakit berdasarkan gejala-gejala yang dipilih oleh user. Hasil uji coba menunjukkan bahwa aplikasi ini layak dan dapat digunakan sebagai alat bantu para medis Penyakit Tulang dalam mendiagnosa awal. Kata Kunci : Sistem Pakar, Penyakit Tulang, Diagnosa awal, Backward Chaining , Web Progaming. Abstract Bone was a very important part in the human orthopedics. Bone is not only the body's reinforcement part, but it is also part of the joints, as a protector of the body, where the attachment of the muscle ends attached to the bone. The limited number of experts in Bone Disease and the lack of public knowledge about bone disease is the reason why this disease is not easy to overcome. The number of similar symptoms for a bone disease. From the above problems then made the application of expert systems early diagnosis of bone disease. From research conducted a software Clinical Decision Support System web-based for the diagnosis of Bone Disease. The resulting information is the result of diagnosis of the disease based on the symptoms chosen by the user. The results of the trial show this application is feasible and can be used as a tool of medical ailments of bone disease in early diagnosis. Keyword : Expert System, Bone Disease, Early Diagnose, Backward Chainning, Web Programming

scholarly journals Relationship between Health-related Fitness and Web-based Physical Activity Records in College Students

2008 ◽  
Vol 14 (2) ◽  
pp. 13-19
Author(s):  
Kuei Yu CHIEN ◽  
Shu Chen CHEN ◽  
Wen Jong LIN ◽  
Hui Tan LO ◽  
Hung Jen CHEN ◽  
...  
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Sedentary Time ◽  
The Body ◽  
Rating Of Perceived Exertion ◽  
Moderate Intensity ◽  
Web Based ◽  
Cardiovascular Endurance ◽  
Health Related ◽  
Health Related Fitness

LANGUAGE NOTE | Document text in English; abstract also in Chinese. The purpose of this study was to investigate the correlation between health-related fitness (HRF) and the physical activity (PA) level from web-based records in college students. The college students (N=221, 18.8±0.6 yr) were recruited. Sedentary time, exercise mode, duration and rating of perceived exertion scale for 7 days were recorded. The body mass index, sit-ups completed in 30 s and 60 s, standing long jump, sit and reach, and 800- or 1600-m run/walk were measured. Spearman correlation and independent t-test were used for statistics. A level of a=0.05 was set for significant on all tests. The results showed that both PA and moderate intensity physical activity were significantly related to HRF, where as cardiovascular endurance was not related. We suggested PA probably affect life movement but not cardiovascular endurance. This study also indicated the correlation patterns were different in gender. The best strategies to promote HRF in college students are to reduce the sedentary time for male and to increase PA intensity for female. 本研究主要探討網路版之身體活動量與大學生健康體適能關聯，本研究招募221位(18.8±0.6歲)大學生記錄7天靜態生活與運動種類、時間以及運動時自覺努力的程度，此外進行健康體適能之身體質量指數、一分鐘仰臥起坐、立定跳遠、坐姿體前彎以及男生1600公尺或是女生之800公尺跑走測驗。以Spearman積差相關進行各變數之關聯度檢定，並以獨立樣本t檢定考驗男生與女生間各變數之差異性，顯著水準定在0.05。結果顯示無論每週平均身體活動時間或是中等強度身體活動時間與非心肺適能之健康適能具顯著的關聯，此結果暗示了身體活動量與日常生活之活動力有關，與心肺適能無關，本研究亦發現身體活動量與健康適能關聯型態因性別不同而有所不同，本校最佳之男性體適能增進策略為減少坐式時間，最佳之女性體適能增進策略為增強運動強度。

scholarly journals Detection of Lung Cancer Disease using Machine Learning

2020 ◽  
Vol 9 (5) ◽  
pp. 810-812
Keyword(s):  
Lung Cancer ◽  
Lung Tumor ◽  
The Body ◽  
Cancer Disease ◽  
Web Based ◽  
X Ray ◽  
Chest X Ray ◽  
Clear Idea ◽  
Web Based System ◽  
Disease Present

Cancer causes cell to split uncontrollably. Lung Cancer results in rapid cell growth and division of such infected cell, such growth of cells called tumor. Lung is the first organ where lung tumor begins and can spread to lymph nodes and so on. Early identification of lung cancer would facilitate in sparing a large no. of lives. If we compare death rates in any cancer then lung cancer has highest mortally rate. This article presents an automated web-based system for disease detection in lung using X-Ray images. To identify disease in lung in X-ray images, as it provides detailed picture and gives clear idea of lung in the body. For this project dataset of chest x-ray was taken from Kaggle. Using Mobile Net model we predicted the lung disease. Using this approach, we can early detect the disease present in lung which causes lung cancer

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