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Salvatrione : A Diterpene-monoterpene Conjugate from Salvia bucharica
Viqar Uddin Ahmad,Muhammad Zahid,Muhammad Shaiq Ali,Amir Reza Jassbi,Shakeel Ahmad,Zulfiqar Ali,Muhammad Zafar Iqbal 한국생약학회 2000 Natural Product Sciences Vol.6 No.2
Salvia bucharica belonging to the family Lamiaceae (Labiatae), afforded a novel terpenoid (1) named as salvatrione. The structure of 1 was elucidated through extensive 2-D NMR experiments and the biogenetic pathway of 1 has also been proposed. On biogenetic grounds, 1 may be considered to be a pseudo-triterpenoid as it is derived from the coupling of mono/diterpenic units and not from squalene.
Brahol : A New Derivative of allo-Inositol from Stocksia brahuica
Yiqar Uddin Ahmad,Zulfiqar Ali,Muhammad Shaiq Ali,Muhammad Zahid,Rasool Bakhsh Tareen 한국생약학회 1998 Natural Product Sciences Vol.4 No.3
A new derivative of allo-inosital has been isolated from the aerial parts of Stocksia brahuica and named as brahol (1). The structure of 1 was elucidated with the help of extensive 2D-NMR spectroscopic techniques and identified as 5-O-methyl-allo-inositol. The structure was reconfirmed by acetate derivative (2).
Five-Dimensional Perfect Fluid Collapse with the Cosmological Constant
Muhammad Sharif,Zahid Ahmad 한국물리학회 2008 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.52 No.4
This paper is devoted to the study of a five-dimensional spherically symmetric perfect fluid collapse with a positive cosmological constant. We take a five-dimensional spherically symmetric metric in the interior region and a five-dimensional Schwarzschild-de Sitter metric in the exterior region. The junction conditions between the interior and the exterior spacetimes are derived. By assuming that the energy density and the pressure satisfy the weak energy condition, we discuss the solution for the interior spacetime with a perfect fluid for both the marginally bound and the non-marginally bound cases. We investigate the apparent horizons and their physical significance and conclude that the cosmological constant slows down the collapse of matter and, hence, limits the size of the black hole. This analysis generalizes four-dimensional perfect fluid collapse. The energy density is found to diverge faster in five dimensions than in four dimensions, indicating faster collapse here. Also, the cosmological horizon and the black hole horizon have larger proper areas than they do in four dimensions. This paper is devoted to the study of a five-dimensional spherically symmetric perfect fluid collapse with a positive cosmological constant. We take a five-dimensional spherically symmetric metric in the interior region and a five-dimensional Schwarzschild-de Sitter metric in the exterior region. The junction conditions between the interior and the exterior spacetimes are derived. By assuming that the energy density and the pressure satisfy the weak energy condition, we discuss the solution for the interior spacetime with a perfect fluid for both the marginally bound and the non-marginally bound cases. We investigate the apparent horizons and their physical significance and conclude that the cosmological constant slows down the collapse of matter and, hence, limits the size of the black hole. This analysis generalizes four-dimensional perfect fluid collapse. The energy density is found to diverge faster in five dimensions than in four dimensions, indicating faster collapse here. Also, the cosmological horizon and the black hole horizon have larger proper areas than they do in four dimensions.
miR-421, miR-155 and miR-650: Emerging Trends of Regulation of Cancer and Apoptosis
Farooqi, Ammad Ahmad,Qureshi, Muhammad Zahid,Coskunpinar, Ender,Naqvi, Syed Kamran-Ul-Hassan,Yaylim, Ilhan,Ismail, Muhammad Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.5
It is becoming progressively more understandable that between transcription and translation there lies another versatile regulator that quantitatively controls the expression of mRNAs. Identification of miRNAs as key regulators of wide ranging signaling cascades and modulators of different cell-type and context dependent activities attracted basic and clinical scientists to study modes and mechanisms in details. In line with this approach overwhelmingly increasing in vivo and in vitro studies are deepening our understanding regarding miR-421, mir-155 and miR-650 mediated regulation of cellular activities. We also attempt to provide an overview of long non coding RNAs.
Multi-type Image Noise Classification by Using Deep Learning
Waqar Ahmed,Zahid Hussain Khand,Sajid Khan,Ghulam Mujtaba,Muhammad Asif Khan,Ahmad Waqas International Journal of Computer ScienceNetwork S 2024 International journal of computer science and netw Vol.24 No.7
Image noise classification is a classical problem in the field of image processing, machine learning, deep learning and computer vision. In this paper, image noise classification is performed using deep learning. Keras deep learning library of TensorFlow is used for this purpose. 6900 images images are selected from the Kaggle database for the classification purpose. Dataset for labeled noisy images of multiple type was generated with the help of Matlab from a dataset of non-noisy images. Labeled dataset comprised of Salt & Pepper, Gaussian and Sinusoidal noise. Different training and tests sets were partitioned to train and test the model for image classification. In deep neural networks CNN (Convolutional Neural Network) is used due to its in-depth and hidden patterns and features learning in the images to be classified. This deep learning of features and patterns in images make CNN outperform the other classical methods in many classification problems.
TRAIL and Bortezomib: Killing Cancer with Two Stones
Qureshi, Muhammad Zahid,Romero, Mirna Azalea,Attar, Rukset,Javed, Zeeshan,Farooqi, Ammad Ahmad Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.4
Cancer genomics and proteomics have undergone considerable broadening in the past decades and increasingly it is being realized that solid/liquid phase microarrays and high-throughput resequencing have provided platforms to improve our existing knowledge of determinants of cancer development, progression and survival. Loss of apoptosis is a widely and deeply studied process and different approaches are being used to restore apoptosis in resistant cancer phenotype. Modulating the balance between pro-apoptotic and anti-apoptotic proteins is essential to induce apoptosis. It is becoming more understood that pharmacological inhibition of the proteasome might prove to be an effective option in improving TRAIL induced apoptosis in cancer cells. Keeping in view rapidly accumulating evidence of carcinogenesis, metastasis, resistance against wide ranging therapeutics and loss of apoptosis, better knowledge regarding tumor suppressors, oncogenes, pro-apoptotic and anti-apotptic proteins will be helpful in translating the findings from benchtop to bedside.
Two New Sesquiterpenes from Pluchea arguta
Viqar Uddin Ahmad,Muhammad Zahid,Rasheeda Khatoon,Zulfiqar Ali,Muhammad Abbas,Muhammad Zafar Iqbal 한국생약학회 1999 Natural Product Sciences Vol.5 No.2
Two new sesquiterpenes, 3`-chloro-2`-hydroxy-3-epi-arguticinin (1) and argutenol (2) belonging to eudesmane and gorgonane classes respectively, have been isolated from Pluchea arguta. Their structures were elucidated with the help of sophisticated spectroscopic techniques including nOe difference and NOESY experiments.
Muhammad Umer Zahid,Anjum Khalique,Shafqat Nawaz Qaisrani,Muhammad Ashraf,Ali Ahmad Sheikh,Muhammad Umar Yaqoob Asian Australasian Association of Animal Productio 2023 Animal Bioscience Vol.36 No.7
Objective: Present study was designed to evaluate the efficacy of Acacia nilotica bark extract as an alternative to antibiotic growth promoters in broilers. Methods: Six hundred, day-old broiler chicks were randomly divided into six groups (NC, without any supplementation; AB, NC+Zinc Bacitracin; PB, NC+Safmannan; ANBE1, NC+A. nilotica bark extract 0.1%; ANBE3, NC+A. nilotica bark extract 0.3%; ANBE5, NC+A. nilotica bark extract 0.5%), with ten replicates per group (10 chicks/replicate) and feeding trial was lasted for 35 days. Results: Results showed that weight gain (1,296.63 g) and feed conversion ratio (FCR, 1.59) of AB was better than NC, during the finisher phase. Overall FCR of AB (1.53), PB (1.54), and ANBE5 (1.54) was significantly (p<0.05) better than NC. From carcass parameters relative weight of wing and heart were highest in ANBE3 (2.5% and 1.51%, respectively). Significantly (p<0.05) highest blood glucose level was observed in NC (264.5 mg/dL) and highest albumin concentration was found in AB (1.46 mg/dL). In addition, antibody titer levels against ND and IBD were higher in ANBE5 than NC, while higher relative weight of bursa was observed in ANBE3 than NC. The villus height to crypt depth ratio in all experimental groups was better than NC. Conclusion: Acacia nilotica bark extract could be a suitable alternative to antibiotic growth promoters to support the growth in broilers.
Natural Language Processing and Machine Linguistic Interpretation
Muhammad Umar Nasir,Ahmad Arsalan,Muhammad Zahid Hussain,Arif Wicaksono Septyanto 한국차세대컴퓨팅학회 2021 한국차세대컴퓨팅학회 학술대회 Vol.2021 No.11
Natural language processing, as an integral part of artificial intelligence technology, has foundations in a variety of disciplines, including linguistics, computer science, and mathematics. Rapid advances in natural language processing provide solid backing for machine translation research. This document first sets out the key concepts and key points of computational linguistics, followed by a brief review of the history and progress of NLP research in the United States and abroad. The document then summarizes the three stages of machine translation as well as the current state of research. Historically, the advancement curves of natural language processing and machine translation have almost coincided, as well as the two complement each other. On this premise, the paper examines NLP applications in machine translation and highlights problems and trends in the fields of artificial intelligence. Finally, the authors examine the link between machine translation and human interpretation in the era of artificial intelligence and speculate on machine translations long term prospects.