scholarly journals TITIK MERAH: KARYA SENI YANG TERINSPIRASI DARI SEBUAH FILM THE FLU YANG DIVISUALKAN KEDALAM WUJUD KARYA TARI

2018 ◽  
Vol 7 (2) ◽  
pp. 187
Author(s):  
Hernando Saputra ◽  
Susas Rita Loravianti ◽  
Ediwar Ediwar

AbstrakKarya tari yang berjudul “Titik Merah”  merupakan karya tari yang terinspirasi dari film yang berjudul The Flu Produksi Servis In Hongkong By October Picture Limited. The Flu merupakan sebuah film yang menceritakan proses penyebaran penyakit flu burung disebuah kota yang bernama Bundang.Pengkarya terinspirasi setelah menonton film The Flu, sebab film ini memberi pemahaman bahwa kesehatan adalah faktor yang sangat penting dalam kehidupan manusia. Flu burung adalah salah satu penyakit yang menular yang disebabkan oleh unggas yang sangat berbahaya hingga bisa mengancam nyawa manuisa dalam waktu yang singkat. Penyebaran virus bisa melalui makanan, sentuhan, minuman, air ludah, dan virus bisa dimatikan dalam suhu yang tinggi.Metode penggarapan dilakukan mulai dari menonton berulang kali film yang menjadi sumber insprirasi, wawancara, serta membaca buku-buku yang bersangkutan dengan oenyakit virus flu burung. Kemudian dilanjutkan dengan proses penciptaan antara lain persiapan awal, eksplorasi, improvisasi, komposisi/pembentukan, evaluasi serta persiapan pertunjukan. Untuk melahirkan dalam sebuah koreografi, pengkarya menggunakan tema kehidupan yang menggunakantipeabstrak.           Kata Kunci:koreografi tari, virus flu burung, kesehatan. AbstractThe dance work entitled “ Titik Merah” is a dance creation inspired from a film entitled “ The Flu” produced by Servis In Hongkong By October Picture Limited. The Flu is a film that tells the process of the spread  of bird flu disease in a  city named Bundang. The choreographer was inspired after watching this film, because it provides an understanding that health is a very important factor in human life. Bird Flu is which one of the infectious diseases caused by very dangerous poultry that can threaten the human life in a short time. The cause of the virus can be through by food, touch, drink, saliva , and the viruses can be killed through high temperatures. The method of cultivation starts from watching repeatedly the film that became the source if inspiration, interview, and read the books concerned with this disease. Then continuing or produced with thecreation process such as initial preparation, exploration, improvisation, composition or formation, evaluation and preparation of the show. To give birth in this choreography, the choreographer uses a life theme that uses an abstract type. Keywords:dance choreography, bird flu virus, health.

2004 ◽  
Vol 08 (05) ◽  
pp. 269-275

India Ranked First in DMF Filings in 2003. Bird Flu Virus in Japan Infectious to Humans. Singapore’s Conducive Biomedical Sciences Environment. Singapore’s First Public Cord Blood Bank.


Pathogens ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 72
Author(s):  
Lawrence S. Young

The impact of infectious diseases on human life is incalculable [...]


2018 ◽  
Vol 147 ◽  
pp. 468-476 ◽  
Author(s):  
Josip Brnic ◽  
Marino Brcic ◽  
Sanjin Krscanski ◽  
Domagoj Lanc ◽  
Jitai Niu ◽  
...  

2013 ◽  
Vol 13 (5) ◽  
pp. 301-315 ◽  
Author(s):  
Kuldeep Dhama ◽  
Sandip Chakrabort ◽  
Ruchi Tiwari ◽  
Amit Kumar ◽  
Anu Rahal ◽  
...  
Keyword(s):  
Bird Flu ◽  

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4110
Author(s):  
Matei-Sorin Axente ◽  
Ciprian Dobre ◽  
Radu-Ioan Ciobanu ◽  
Raluca Purnichescu-Purtan

With the rate at which smartphones are currently evolving, more and more of human life will be contained in these devices. At a time when data privacy is extremely important, it is crucial to protect one’s mobile device. In this paper, we propose a new non-intrusive gait recognition based mechanism that can enhance the security of smartphones by rapidly identifying users with a high degree of confidence and securing sensitive data in case of an attack, with a focus on a potential architecture for such an algorithm for the Android environment. The motion sensors on an Android device are used to create a statistical model of a user’s gait, which is later used for identification. Through experimental testing, we prove the capability of our proposed solution by correctly classifying individuals with an accuracy upwards of 90% when tested on data recorded during multiple activities. The experiments, conducted on a low sampling rate and at short time intervals, show the benefits of our solution and highlight the feasibility of an efficient gait recognition mechanism on modern smartphones.


Science ◽  
2005 ◽  
Vol 308 (5719) ◽  
pp. 175a-175a ◽  
Author(s):  
D. Normile

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