76 research outputs found
Study on the Infection Mechanism of Streptococcus iniae in Japanese Flounder (Paralichthys olivaceus)
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To investigate the course of Streptococcus iniae infection in Japanese flounder Paralichthys olivaceus, fish (average weight 118±14 g) were experimentally infected by oral and bath methods, and the distribution and multiplication of S. iniae in the fish were monitored by bacteriological and immunohistochemical examinations. S. iniae was detected first in relatively high numbers in the kidney and spleen. Viable counts of S. iniae in the blood, brain, liver, stomach, intestine, gill, skin mucus and nares were high only when those in the kidney and spleen were high. S. iniae-Iaden phagocytic cells were observed in the lumen of the blood vessels distributing in the organs and tissues in the initial stage of infection. Many fish showed hemorrhagic lesions on the fins, and the extracellular multiplication of S. iniae in the hemorrhagic fins was observed in the initial stage of infection. These observations were common among the fish challenged by either method. There was no evidence of the entrance of S. iniae through the stomach, intestine, gill, eye or olfactory pouches of nares. It was presumed that S. iniae entered directly from the water through the abrasive sites of fins and was disseminated by the blood circulation to cause systemic infection
E-learning mĂłdszerek a 21. szĂĄzadban
Az E-learning kifejezĂ©s egy Ășj oktatĂĄsi mĂłdszert takar. Növeli a tanulĂĄs Ă©s tanĂtĂĄs hatĂ©konysĂĄgĂĄt, öszszehasonlĂtva a hagyomĂĄnyos oktatĂĄssal. Mindez ĂĄltalĂĄban Ă©rinti a tanĂĄrok, tanulĂłk, oktatĂłk szĂ©les skĂĄlĂĄjĂĄt, akik a közvetlen hasznĂĄljĂĄk az Internet-technolĂłgia Ă©s a web alkalmazĂĄsok adta lehetĆsĂ©geket. Ez a tanulmĂĄny bemutatja, a vietnĂĄmi diĂĄkok hatĂ©konysĂĄgĂĄt Ă©s hozzĂĄĂĄllĂĄsĂĄt a kĂŒlönfĂ©le e-learning rendszerek alkalmazĂĄsa esetĂ©n, cserĂ©lhetĆk-e a rĂ©gi, hagyomĂĄnyos tanĂtĂĄsi mĂłdszerek vagy sem a 21. szĂĄzadban, tovĂĄbbĂĄ ebben a kutatĂĄsban azt is bemutatjuk, milyen e-learning hatĂĄsok jelentkeznek a vietnami diĂĄkok kĂŒlönbözĆ tanulĂĄsi mĂłdszereiben
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The capability of Streptococcus iniae to cause disease in Japanese flounder was investigated by oral and bath (30 min) challenges with low, medium and high inoculation doses. Only with the highest inoculation dose, 9.9 x 10^7 CFU/100g body weight, the oral challenge induced deaths. In the bath challenge deaths were induced even at the lowest inoculation dose, 2.9 x 10^3 CFU/mL water. Hemorrhagic lesions on the fins were observed in dead fish challenged by both methods. It is suspected that S. iniae entered through the body surface such as abrasive sites of the fins to cause disease
Characterization and photocatalytic activity of new photocatalysts based on Ag, F-modified ZnO nanoparticles prepared by thermal shock method
Enhanced photocatalytic activity of ZnO nanoparticles by surface modification with KF using thermal shock method
A Hybrid of Adaptation and Dynamic Routing based on SDN for Improving QoE in HTTP Adaptive VBR Video Streaming
Recently, HTTP Adaptive Streaming HAS has received significant attention from
both industry and academia based on its ability to enhancing media streaming
services over the Internet. Recent research solutions that have tried to
improve HAS by adaptation at the client side only may not be completely
effective without interacting with routing decisions in the upper layers. In
this paper, we address the aforementioned issue by proposing a dynamic
bandwidth allocation and management architecture for streaming video flows to
improve users satisfaction. We also introduce an initial cross layer hybrid
method that combines quality adaptation of variable bitrate video streaming
over the HTTP protocol at the client side and SDN based dynamical routing. This
scheme is enabled by the Software Defined Networking architecture that is now
being considered as an emerging paradigm that disassociates the forwarding
process from the routing process. SDN brings flexibility and the ability to
flexibly change routing solutions, in turn resulting in dynamically improving
the services provided in the application layer. Our experimental results show
that the proposed solution offers significantly higher overall bitrates as well
as smoother viewing experience than existing methods.Comment: 14 pages, 17 figures, IJCSNS International Journal of Computer
Science and Network Security,
http://paper.ijcsns.org/07_book/201907/20190708.pd
Pulse-width modulation direct torque control induction motor drive with Kalman filter
The paper deals with application of Kalman filter in induction motor drive using pulse-width modulation direct torque control (PWM-DTC). In the ïŹrst part, the conventional PWM-DTC drive is described and Kalman ïŹlter is utilized to filter components of stator current vector those are assumed to be disturbed by white noise. The second part contains simulation results that are obtained in different cases of load torque, process and measurement noise covariances. The integral time absolute error (ITAE) performance index, undershoot, ripple of important quantities are used to compare the conventional drive structure and proposed drive structure with Kalman filter. The simulation results confirm the expected dynamic response of the proposed structure
A Deep Learning-Based Aesthetic Surgery Recommendation System
We propose in this chapter a deep learning-based recommendation system for aesthetic surgery, composing of a mobile application and a deep learning model. The deep learning model built based on the dataset of before- and after-surgery facial images can estimate the probability of the perfection of some parts of a face. In this study, we focus on the most two popular treatments: rejuvenation treatment and eye double-fold surgery. It is assumed that the outcomes of our history surgeries are perfect. Firstly a convolutional autoencoder is trained by eye images before and after surgery captured from various angles. The trained encoder is utilized to extract learned generic eye features. Secondly, the encoder is further trained by pairs of image samples, captured before and after surgery, to predict the probability of perfection, so-called perfection score. Based on this score, the system would suggest whether some sorts of specific aesthetic surgeries should be performed. We preliminarily achieve 88.9 and 93.1% accuracy on rejuvenation treatment and eye double-fold surgery, respectively
Improving green literacy and environmental culture associated with youth participation in circular economy: a case study of Vietnam
Circular economy (CE), a sustainability concept that promotes resource efficiency and waste reduction, has garnered significant popularity in recent years due to its potential to address pressing environmental and economic challenges. This study employs the Bayesian mindsponge framework (BMF) to explore what drives young adultsâ pro-environmental behavior and purchases of green products at different levels of price. The results show that young adultâs knowledge of CE and care about environmental protection and energy saving encourages the practice of waste classification, while factors that affect their willingness to pay (WTP) more for green and energy-saving products vary at different price tiers
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