Zobrazeno 1 - 10
of 253
pro vyhledávání: '"vnn"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 523-532 (2024)
Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma (NHL) and is characterized by high heterogeneity. Assessment of its prognosis and genetic subtyping hold significant clinical implications. However, existing DLB
Externí odkaz:
https://doaj.org/article/42fdc8e7509947c988d1bf20f67a8172
Autor:
Abu Tayab Moin, Nurul Amin Rani, Yasin Arafath Sharker, Tanbir Ahammed, Umme Sadea Rahman, Sadia Yasmin, Irfan Haque Ratul, Shanjida Akter Joyoti, Muhammad Sakib Musa, Mizan Ur Rahaman, Dipta Biswas, Md Hazrat Ali, S. M. Murshid Ul Alam, Rajesh B. Patil, Rashed Un Nabi, Mohammad Helal Uddin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Viral nervous necrosis (VNN) poses a significant threat to the aquaculture industry, causing substantial losses and economic burdens. The disease, attributed to nervous necrosis viruses within the Betanodavirus genus, is particularly pervasi
Externí odkaz:
https://doaj.org/article/c2456125f4d5468c8f9b074878e823c6
Akademický článek
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Akademický článek
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Autor:
Hidayati Kumalasari, Putu Eka Sudaryatma, Artanti Tri Lestari, Wahyu Nurlita, Wahyu Andy Nugraha, Nur Hasanah, Ida Ayu Mirah Meliana Dewi, Ni Putu Arya Shintya Anggraeni
Publikováno v:
Jurnal Sain Veteriner, Vol 40, Iss 2, Pp 188-196 (2022)
Indonesia become a maritime country with large of ocean area and beach line with marine species diversity reaches 37% of the world’s fish. This makes Indonesia have aquaculture potential that supported by an appropriate climate. However, the challe
Externí odkaz:
https://doaj.org/article/493af4db8a3d413fa94a9f753723c477
Autor:
Sergio Vela-Avitúa, Ingunn Thorland, Vasileios Bakopoulos, Kantham Papanna, Arkadios Dimitroglou, Eleftherios Kottaras, Papaharisis Leonidas, Bruno Guinand, Costas S. Tsigenopoulos, Muhammad L. Aslam
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Viral nervous necrosis (VNN) is an infectious disease caused by the red-spotted grouper nervous necrosis virus (RGNNV) in European sea bass and is considered a serious concern for the aquaculture industry with fry and juveniles being highly susceptib
Externí odkaz:
https://doaj.org/article/2c86e4bf2969439a8b00d194f102b7cb
Publikováno v:
Russian Journal of Agricultural and Socio-Economic Sciences, Vol 95, Iss 11, Pp 206-213 (2019)
This research aimed to determine the effectiveness of Dunaliella salina extract in reducing the damage of the cantang grouper brain, eyes and intestines tissue infected with VNN. Fifty seeds of cantang grouper were stocked into 5 pieces of 50 L volum
Externí odkaz:
https://doaj.org/article/d2020074816e402fb076ab91d6311f35
Autor:
Snježana Zrnčić, Dragan Brnić, Valentina Panzarin, Miriam Abbadi, Ivana Lojkić, Ivana Giovanna Zupičić, Dražen Oraić
Publikováno v:
Pathogens, Vol 11, Iss 4, p 418 (2022)
Due to the insufficient capacity of Croatian hatcheries, marine aquaculture depends on the importation of fry from different countries in the Mediterranean basin. Importation enables a risk of spreading pathogenic agents. Viral nervous necrosis (VNN)
Externí odkaz:
https://doaj.org/article/7ee3a2647d4949ffa62913822fd6c0e6
Publikováno v:
Jurnal Ilmiah Perikanan dan Kelautan, Vol 10, Iss 2, Pp 124-130 (2018)
Abstrak Penelitian ini bertujuan untuk mengetahui pengaruh Dunaliella salina terhadap jumlah polimorfonuklear leukosit ikan kerapu cantang yang diinfeksi VNN. Seratus delapan puluh ekor larva ikan kerapu cantang ditebar ke dalam 15 buah bak bervolum
Externí odkaz:
https://doaj.org/article/b5bac6f7037f4e0fa9b672b9e5385558
Autor:
Nwe Nwe Soe
Publikováno v:
วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์, Vol 1, Iss 1, Pp 7-19 (2018)
This paper offers finding the syllabus segmentations from palm leaf manuscripts. This system can be used to provide for enhancing palm leaf manuscripts are taken by high quality resolution digital camera. The Vector Neural Network is that object loca
Externí odkaz:
https://doaj.org/article/dc6d2022f4c443a2b4b55c53723e3eb5