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Muhammad Imran Mahmood* and Muhammad Zubair
...was applied. While, in Neemthe highest fresh shoot weight (42.75 g) was recorded under drought environment.
...
Muhammad Khan1,*, Amara Maryam2, Hafiz Abdullah Shakir1, Javed Iqbal Qazi1 and Yongming Li3,*

Bibi Safia Haq1,2, Shahnaz Attaullah3, Abdul Shakoor4, Hidayat Ullah Khan5, Khan Alam5, Kausar Shaheen1 

CHARACTERISTICS AND EFFICACY OF ULTRAFAST LASER PULSES FOR BIOMEDICAL APPLICATIONS
...nsional cell scaffolds, femtosecond laser irradiation at 800nm was used for
biomedical applications. The femtosecond laser system was also used to fabricate a bricks and mortar structure in
keratin films to investigate skin structures for different cream absorption. The laser characterised here is Spectra
Physics, Hurricane X. This is a complex laser system consisting of a seed laser and a regenerative a...

Sehrish Khudadad1, Muhammad Ather Rafi2, Ahmed Zia3, Mian Sayed Khan4, Gulnaz Parveen5, Muhammad Kamal Sheikh6*, Falak Naz7, Muhammad Qasim8 and Syed Waqar Shah9

...orel), Crematogaster contemta Mayr, Myrmica rugosa Mayr, Vollenhovia laevithorax Emery, and Myopopone moelleri Bingham were found new for Pakistan.
 
...

Xiajun Zhang1, Jie Yang2, Wenjun Zhou1, Zhenshi Chen2, Weidong Wu3, Shaoru Zhang2 and Lihui Wang2*

Sundus Oun Ali Al-Zaini1, Mohanad A. Al-Bayati3*, Khazaal Abbas Khazaal2, Salma Talib Salih1

...fish under simulated acclemtized normal condition. In contrast, fish from the second group were challenged with live Aeromonas hydrophila at a dose of (3×108cfu/fish and 3×107cfu/fish) for 22 days then had been vaccinated single dose. Preliminary findings reveal that fish groups treated with KHV liposomes pharmaceutic vaccine exhibit Relation present survival of 45% protection against KHV infection in bad quality water. Similarly, in fish groups ra...

Mokammel Hossain Tito, Most Hoor E Jannat, Marzia Afrose, S.M. Jubayer Ahmed, Shah Md Maruf, Md. Arafat Hossain, Safiullah Samani, Ruksana Jahan Mira, Barshon Saha, Asraful Islam Jihad and Tonmoy Kumar Das

... Diga, Guto Gida, and Nekemte districts, employed machine learning (ML) algorithms to predict FMD outbreaks and assess attribute correlations. The dataset is taken from mendely with prevalence ranges from 4.8% to 72.1% in cattle. In this paper we have used total of five algorithms including Naïve Bayes, MLP (Multilayer Perceptron), SMO (Sequential Minimal Optimization), AdaBoostM1, and REP Tree. Each model evaluated using various criteria, such as Accurac...

Veterinary Sciences: Research and Reviews

June

Vol.10, Iss.1, Pages 1-39

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