The Experts below are selected from a list of 183 Experts worldwide ranked by ideXlab platform
Kobyláková Irena - One of the best experts on this subject based on the ideXlab platform.
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The phenomenon of Tarantism and the traditional musical and dancing style of Pizzica in the south-italian region of Puglia
2010Co-Authors: Kobyláková IrenaAbstract:The diploma work called The Phenomenon of Tarantism and the Traditional Musical and Dancing style of Pizzica in the South-Italian Region of Puglia by BcA. Irena N. Kobyláková analyses two basic cultural topics typical for the South-Italian region of Puglia from ethnological point of view, tarantism and pizzica, which complement each other. In the first part the author treats the process of tarantism, i.e. of a psychosomatic disease which was healed by musical and dance therapy in a frenetic rhythm of pizzica created by drumming on a tambourine. The work analyses the causes of the disease, which are symbolically substituted by a Poisonous Spider, reveals the process and the therapy of the disease, the relationship of an afflicted person to the mythical Spider, as well as to Saint Paul, the patron of the poisoned. The second half of the work involves a musical and dance analysis of tarantella of Salento called pizzica, namely its three kinds, the pizzica tarantata, the passionate pizzica and the gesticulated pizzica. This part is complemented by a report about the contemporary happenning, popularity and use of pizzica in Puglia. A report of own field research in the region, which took place during years 2003 - 2009 is part of the thesis as well. The purpose of the diploma work was to bring forth an issue..
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The phenomenon of Tarantism and the traditional musical and dancing style of Pizzica in the south-italian region of Puglia
Univerzita Karlova Filozofická fakulta, 2010Co-Authors: Kobyláková IrenaAbstract:Diplomová práce s názvem Fenomén tarantismu a tradiční hudební a taneční styl pizzica v jihoitalském kraji Apulie autorky BcA. Ireny N. Kobylákové rozebírá z etnologického hlediska dvě základní kulturní témata příznačná pro jihoitalský region Apulie, tedy fenomény tarantismu a pizziky, jež byly navzájem propojeny. V první části se autorka zabývá procesem tarantismu, tedy psychosomatické choroby léčené hudební a taneční terapií ve frenetickém rytmu pizziky, ztvárněném především bubnováním na tamburínu. Práce analyzuje příčiny choroby, které jsou symbolicky zastoupeny jedovatým pavoukem, dále průběh choroby a terapie, vztah postiženého k mytickému pavoukovi a k svatému Pavlovi jako patronu otrávených. Je pojednáno také o historii odborných zpráv o tarantismu. Druhou část diplomové práce zahrnuje hudební a taneční analýzu salentinské tarantely, resp. pizziky, konkrétně jejích tří druhů, tedy tarantované pizziky, svádivé pizziky a šermované pizziky. Tuto část doplňuje zpráva o současném dění, oblibě a užití této hudby a tanců v Apulii. Součástí diplomové práce je také zpráva z terénního výzkumu v daném regionu v období let 2003 až 2009. Cílem práce bylo přinést do oblasti české etnologie dosud velmi málo zpracované téma, jež je zároveň předmětem etnologie současnosti.The diploma work called The Phenomenon of Tarantism and the Traditional Musical and Dancing style of Pizzica in the South-Italian Region of Puglia by BcA. Irena N. Kobyláková analyses two basic cultural topics typical for the South-Italian region of Puglia from ethnological point of view, tarantism and pizzica, which complement each other. In the first part the author treats the process of tarantism, i.e. of a psychosomatic disease which was healed by musical and dance therapy in a frenetic rhythm of pizzica created by drumming on a tambourine. The work analyses the causes of the disease, which are symbolically substituted by a Poisonous Spider, reveals the process and the therapy of the disease, the relationship of an afflicted person to the mythical Spider, as well as to Saint Paul, the patron of the poisoned. The second half of the work involves a musical and dance analysis of tarantella of Salento called pizzica, namely its three kinds, the pizzica tarantata, the passionate pizzica and the gesticulated pizzica. This part is complemented by a report about the contemporary happenning, popularity and use of pizzica in Puglia. A report of own field research in the region, which took place during years 2003 - 2009 is part of the thesis as well. The purpose of the diploma work was to bring forth an issue...Institute of EthnologyÚstav etnologieFaculty of ArtsFilozofická fakult
Xueyang Ding - One of the best experts on this subject based on the ideXlab platform.
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Poisonous Spider recognition through deep learning
Proceedings of the Australasian Computer Science Week Multiconference, 2020Co-Authors: Richard O Sinnott, Donghan Yang, Xueyang DingAbstract:Deep learning and neural networks have recently gained considerable attention and are now one of the most popular topics in modern computer science. One of the most promising applications of deep learning is in the field of computer vision and especially in the application of convolutional neural networks (CNNs) for object detection and classification of images. In this paper, we explore various CNN models to identify and classify common species of Spiders found in Australia with specific focus on Poisonous Spiders. We compare the accuracy and performance of the deep learning models on a range of diverse Spider species. We also develop an iOS application as the front-end user application.
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ACSW - Poisonous Spider Recognition through Deep Learning.
Proceedings of the Australasian Computer Science Week Multiconference, 2020Co-Authors: Richard O Sinnott, Donghan Yang, Xueyang DingAbstract:Deep learning and neural networks have recently gained considerable attention and are now one of the most popular topics in modern computer science. One of the most promising applications of deep learning is in the field of computer vision and especially in the application of convolutional neural networks (CNNs) for object detection and classification of images. In this paper, we explore various CNN models to identify and classify common species of Spiders found in Australia with specific focus on Poisonous Spiders. We compare the accuracy and performance of the deep learning models on a range of diverse Spider species. We also develop an iOS application as the front-end user application.
Richard O Sinnott - One of the best experts on this subject based on the ideXlab platform.
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Poisonous Spider recognition through deep learning
Proceedings of the Australasian Computer Science Week Multiconference, 2020Co-Authors: Richard O Sinnott, Donghan Yang, Xueyang DingAbstract:Deep learning and neural networks have recently gained considerable attention and are now one of the most popular topics in modern computer science. One of the most promising applications of deep learning is in the field of computer vision and especially in the application of convolutional neural networks (CNNs) for object detection and classification of images. In this paper, we explore various CNN models to identify and classify common species of Spiders found in Australia with specific focus on Poisonous Spiders. We compare the accuracy and performance of the deep learning models on a range of diverse Spider species. We also develop an iOS application as the front-end user application.
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ACSW - Poisonous Spider Recognition through Deep Learning.
Proceedings of the Australasian Computer Science Week Multiconference, 2020Co-Authors: Richard O Sinnott, Donghan Yang, Xueyang DingAbstract:Deep learning and neural networks have recently gained considerable attention and are now one of the most popular topics in modern computer science. One of the most promising applications of deep learning is in the field of computer vision and especially in the application of convolutional neural networks (CNNs) for object detection and classification of images. In this paper, we explore various CNN models to identify and classify common species of Spiders found in Australia with specific focus on Poisonous Spiders. We compare the accuracy and performance of the deep learning models on a range of diverse Spider species. We also develop an iOS application as the front-end user application.
Donghan Yang - One of the best experts on this subject based on the ideXlab platform.
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Poisonous Spider recognition through deep learning
Proceedings of the Australasian Computer Science Week Multiconference, 2020Co-Authors: Richard O Sinnott, Donghan Yang, Xueyang DingAbstract:Deep learning and neural networks have recently gained considerable attention and are now one of the most popular topics in modern computer science. One of the most promising applications of deep learning is in the field of computer vision and especially in the application of convolutional neural networks (CNNs) for object detection and classification of images. In this paper, we explore various CNN models to identify and classify common species of Spiders found in Australia with specific focus on Poisonous Spiders. We compare the accuracy and performance of the deep learning models on a range of diverse Spider species. We also develop an iOS application as the front-end user application.
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ACSW - Poisonous Spider Recognition through Deep Learning.
Proceedings of the Australasian Computer Science Week Multiconference, 2020Co-Authors: Richard O Sinnott, Donghan Yang, Xueyang DingAbstract:Deep learning and neural networks have recently gained considerable attention and are now one of the most popular topics in modern computer science. One of the most promising applications of deep learning is in the field of computer vision and especially in the application of convolutional neural networks (CNNs) for object detection and classification of images. In this paper, we explore various CNN models to identify and classify common species of Spiders found in Australia with specific focus on Poisonous Spiders. We compare the accuracy and performance of the deep learning models on a range of diverse Spider species. We also develop an iOS application as the front-end user application.
Edward K. Tillinghast - One of the best experts on this subject based on the ideXlab platform.
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Fine structure of the glandular epithelium during secretory silk production in the black widow Spider latrodectus mactans
Korean Journal of Biological Sciences, 2002Co-Authors: Myung-jin Moon, Edward K. TillinghastAbstract:Among the silk glands in the black widow Spider Latrodectus mactans, the ampullate one is the most predominant gland in both sexes, and is composed of three functional parts ‐ excretory duct, storage ampulla and convoluted tail regions. This experiment was performed using mechanical pulling stimulation with electric motor equipment to reveal a correlation between silk usage and silk producing system in this Poisonous Spider. The mature secretory products in glandular epithelium are closely packed and appear as electron‐opaque spherical vesicles. A part of the vesicles with fine fibrillar paracrystalline texture seems to store some proteins which will function at the time of final assembly into fibrils. Most of the secretory silk products which originated from the rough endoplasmic reticula of the glandular epithelial cells are grown by fusion with surrounding small vesicles. However, the Golgi complex does not seem to play an important role in this process of secretion. According to progressive maturation...