5篇
您的检索式：作者名="Aftab BASHIR"
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| 1 | Road Traffic Noise Pollution a Hazard显示文摘 | Tayyaba Aftab Farzana Bashir Tahira Shafiq | 2007 | Bangladesh Journal of Scientif- ic and Industrial Research2007，42，5： | 1 |
| 2 | Bangladesh Journal of Scientific and Industrial Research显示文摘 | Tayyaba Aftab Farzana Bashir Tahira Shafiq | 2007 | 42(5):1-52007，42，5： | 1 |
| 3 | Identification and characterization of plasma membrane aquaporins isolated from fiber cells of Calotropis procera显示文摘Calotropis procera, commonly known as 'milkweed', possesses long seed trichomes for seed dispersal and has the ability to survive under harsh conditions such as drought and salinity. Aquaporins are water channel proteins expressed in all land plants, divided into five subfamilies plasma membrane intrinsic proteins (PIPs), tonoplast intrinsic proteins (TIPs), NOD26-like proteins (NIPs), small basic intrinsic proteins (SIPs), and the unfamiliar X intrinsic proteins (XIPs). PIPs constitute the largest group of water channel proteins that are involved in different developmental and regulatory mechanisms including water permeability, cell elongation, and stomata opening. Aquaporins are also involved in abiotic stress tolerance and cell expansion mechanisms, but their role in seed trichomes (fiber cells) has never been investigated. A large number of clones isolated from C. procera fiber cDNA library showed sequence homology to PIPs. Both expressed sequence tags (ESTs) and real-time polymerase chain reaction (PCR) studies revealed that the transcript abundance of this gene family in fiber cells of C. procera is greater than that of cotton. Full-length cDNAs of CpPIP1 and CpPIP2 were isolated from C. procera fiber cDNA library and used for constructing plant expression vectors under constitutive (2×35S) and trichome-specific (GhLTP3) promoters. Transgenic tobacco plants were developed via Agrobacterium-mediated transformation. The phenotypic characteristics of the plants were observed after confirming the integration of transgene in plants. It was observed that CpPIP2 expression cassette under 2×35S and GhLTP3 promoter enhanced the numbers of stem and leave trichomes. However, 2×35S::CpPIP2 has a more amplified effect on trichome density and length than GhLTP3::CpPIP2 and other PIP constructs. These findings imply the role of C. procera PIP aquaporins in fiber cell elongation. The PIPs-derived cell expansion mechanism may be exploited through transgenic approaches for improvement of fiber staple length in cotton and boosting of defense against sucking insects by enhancing plant pubescence. | Usman ASLAM Asia KHATOON Hafiza Masooma Naseer CHEEMA Aftab BASHIR | 2013 | Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2013，14，7： | 0 |
| 4 | Identification and Cloning of Resistance Gene Analogues (RGAs) Encoding NBS-LRR Proteins from Gossypium arboreum L.显示文摘Plants have developed a complicated defense mechanism during evolution to resist the harmful pathogens they encountered.The mechanism involves the interaction of the plant resistance(R) | AZHAR Muhammad Tehseen BASHIR Aftab BRIDDON Rob W MANSOOR Shahid | 2008 | 棉花学报2008，20，S1： | 0 |
| 5 | Multi Sensor-Based Implicit User Identification显示文摘Smartphones have ubiquitously integrated into our home and work environments,however,users normally rely on explicit but inefficient identification processes in a controlled environment.Therefore,when a device is stolen,a thief can have access to the owner’s personal information and services against the stored passwords.As a result of this potential scenario,this work proposes an automatic legitimate user identification system based on gait biometrics extracted from user walking patterns captured by smartphone sensors.A set of preprocessing schemes are applied to calibrate noisy and invalid samples and augment the gait-induced time and frequency domain features,then further optimized using a non-linear unsupervised feature selection method.The selected features create an underlying gait biometric representation able to discriminate among individuals and identify them uniquely.Different classifiers are adopted to achieve accurate legitimate user identification.Extensive experiments on a group of 16 individuals in an indoor environment show the effectiveness of the proposed solution:with 5 to 70 samples per window,KNN and bagging classifiers achieve 87–99%accuracy,82–98%for ELM,and 81–94%for SVM.The proposed pipeline achieves a 100%true positive and 0%false-negative rate for almost all classifiers. | Muhammad Ahmad Rana Aamir Raza Manuel Mazzara Salvatore Distefano Ali Kashif Bashir Adil Khan Muhammad Shahzad Sarfraz Muhammad Umar Aftab | 2021 | Computers, Materials & Continua2021，，8： | 0 |
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