Preliminary pharmacognostical and phytochemical evaluation of Stachys tibetica Vatke

Zulfiqar Ali Bhat,Dinesh Kumar,Vijender Kumar,Ishtaq Ahmad Chashoo,Nisar Ahmad Khan,Irfat Ara,Mohammad Yassin Shah 셀메드 세포교정의약학회 2012 TANG Vol.2 No.1

Stachys tibetica Vatke (Lamiaceae) is an important medicinal plant in the folk medicine of Ladakh, India and Tibet for the treatment of various mental disorders. Infusion and decoction of the whole plant is used as a cup of tea for a severe fever, headaches and to relieve tension. The recent study is aimed to evaluate the preliminary pharmacognostical and phytochemical nature of Stachys tibetica Vatke. The whole plant material was subjected to successive soxhlet extraction with petroleum ether (40 - 60C), chloroform, ethyl acetate, methanol and finally decocted with water to get the respective extracts. The fluorescence characteristics of the powdered materials were analysed under ultraviolet light and ordinary light. Different physicochemical parameters such as ash value, extractive value, foaming index, pH values, loss on drying and determination of foreign matter were carried out as per WHO guidelines. The total fat, flavonoid, saponin and volatile contents were also determined. Macroscopical studies revealed the authentication of the plant drug. Physicochemical parameters helped to standardize the plant material while preliminary qualitative chemical tests of different extracts showed the presence of Glycosides, Carbohydrates, Phytosterols/triterpenoids, Saponins, Fixed oils, Fats and phenols/tannins. Quantification of the total flavonoids and saponins and contents were determined as 54.66 ± 0.58 mg/g and 75.42 ± 0.48 mg/kg respectively, while the volatile and fat contents were 6.5% and 0.7% respectively. Results may lay the foundation for the standardization of the drug and discovery of new molecules from S. tibetica for the treatment of various diseases.

Genetic and Molecular Control of Floral Organ Identity in Cereals

Ali, Zulfiqar,Raza, Qasim,Atif, Rana Muhammad,Aslam, Usman,Ajmal, Muhammad,Chung, Gyuhwa MDPI AG 2019 INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES Vol.20 No.11

<P>Grasses represent a major family of monocots comprising mostly cereals. When compared to their eudicot counterparts, cereals show a remarkable morphological diversity. Understanding the molecular basis of floral organ identity and inflorescence development is crucial to gain insight into the grain development for yield improvement purposes in cereals, however, the exact genetic mechanism of floral organogenesis remains elusive due to their complex inflorescence architecture. Extensive molecular analyses of Arabidopsis and other plant genera and species have established the ABCDE floral organ identity model. According to this model, hierarchical combinatorial activities of A, B, C, D, and E classes of homeotic genes regulate the identity of different floral organs with partial conservation and partial diversification between eudicots and cereals. Here, we review the developmental role of A, B, C, D, and E gene classes and explore the recent advances in understanding the floral development and subsequent organ specification in major cereals with reference to model plants. Furthermore, we discuss the evolutionary relationships among known floral organ identity genes. This comparative overview of floral developmental genes and associated regulatory factors, within and between species, will provide a thorough understanding of underlying complex genetic and molecular control of flower development and floral organ identity, which can be helpful to devise innovative strategies for grain yield improvement in cereals.</P>

Channel Clustering and QoS Level Identification Scheme for Multi-Channel Cognitive Radio Networks

Ali, Amjad,Yaqoob, Ibrar,Ahmed, Ejaz,Imran, Muhammad,Kwak, Kyung Sup,Ahmad, Adnan,Hussain, Syed Asad,Ali, Zulfiqar IEEE 2018 IEEE communications magazine Vol.56 No.4

<P>The increasing popularity of wireless services and devices necessitates high bandwidth requirements; however, spectrum resources are not only limited but also heavily underutilized. Multiple license channels that support the same levels of QoS are desirable to resolve the problems posed by the scarcity and inefficient use of spectrum resources in multi-channel cognitive radio networks (MCRNs). One reason is that multimedia services and applications have distinct, stringent QoS requirements. However, due to a lack of coordination between primary and secondary users, identifying the QoS levels supported over available licensed channels has proven to be problematic and has yet to be attempted. This article presents a novel Bayesian non-parametric channel clustering scheme, which identifies the QoS levels supported over available license channels. The proposed scheme employs the infinite Gaussian mixture model and collapsed Gibbs sampler to identify the QoS levels from the feature space of the bit rate, packet delivery ratio, and packet delay variation of licensed channels. Moreover, the real measurements of wireless data traces and comparisons with baseline clustering schemes are used to evaluate the performance of the proposed scheme.</P>

Chitosan Mediated Formation and Impregnation of Silver Nanoparticles on Viscose Fabric in Single Bath for Antibacterial Performance

Zulfiqar Ali Raza,Umaira Bilal,Unsa Noreen,Somayyah Abdul Munim,Shahina Riaz,Muhammad Umar Abdullah,Sharjeel Abid 한국섬유공학회 2019 Fibers and polymers Vol.20 No.7

Cellulosic materials being biodegradable are susceptible to bacterial attack. Present study was meant to develop anantibacterial viscose fabric via a clean, easy and reproducible approach. Silver nanoparticles (SNPs) were prepared usingchitosan both as reducing and as well as stabilizing agent to promote green synthesis of SNPs. The prepared SNPs werecharacterized using dynamic light scattering and UV-visible (vis) absorption spectroscopy. The average size of SNPs wasfound to be 8.574 nm with respective zeta potential of +45.2 mV using AgNO3 concentration of 1 mM and chitosan as 1 %(w/v). Pre-treated viscose fabric was undergone an in situ treatment to impregnate SNPs on its surface under certain autoclaveconditions. Scanning electron microscopy revealed the presence of SNPs on surface of treated viscose fabric in comparisonwith the untreated fabric. In addition, Fourier transform infrared and elemental analysis confirmed the presence of silver onthe treated fabric. The textile properties of the viscose fabric samples like; tensile strength, wettability, antibacterial activityand whiteness were evaluated using the standard protocols. The developed treated viscose fabric showed good antibacterialproperties against both Gram negative Escherichia coli and Gram-positive Staphylococcus aureus bacterial strains with fairtextile characteristics. This is the first report on in situ fabrication and impregnation of SNPs using chitosan as both reducingand stabilizing agent on a regenerated cellulose fabric like viscose.

Estimation of longitudinal velocity noise for rail wheelset adhesion and error level

Soomro, Zulfiqar Ali Techno-Press 2016 Multiscale and multiphysics mechanics Vol.1 No.3

The longitudinal velocity (forward speed) having significant importance in proper running of railway wheelset on track, depends greatly upon the adhesion ratio and creep analysis by implementation of suitable dynamic system on contamination. The wet track condition causes slip and slide of vehicle on railway tracking, whereas high speed may also increase slip and skidding to severe wear and deterioration of mechanical parts. The basic aim of this research is to design appropriate model aimed estimator that can be used to control railway vehicle forward velocity to avoid slip. For the filtration of disturbance procured during running of vehicle, the kalman filter is applied to estimate the actual signal on preferered samples of creep co-efficient for observing the applied attitude of noise. Thus error level is detected on higher and lower co-efficient of creep to analyze adhesion to avoid slip and sliding. The skidding is usually occurred due to higher forward speed owing to procured disturbance. This paper guides to minimize the noise and error based upon creep coefficient.

Controlling the selectivity and deactivation of H-ZSM-5 by tuning b-axis channel length for glycerol dehydration to acrolein

Babar Ali,Xiaocheng Lan,Muhammad Tahir Arslan,Syed Zulfiqar Ali Gilani,Huanjun Wang,Tiefeng Wang 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.88 No.-

Glycerol dehydration to value-added acrolein over zeolite catalysts is a useful approach to offer asustainable economic route for the biodiesel industry. Glycerol dehydration over H-ZSM-5 withconventional morphology often exhibits a significant mass transfer limitation and inhibits the access toactive sites in the micropores, which causes low activity, selectivity, and severe catalyst deactivation. Inthis study, a significant impact of b-axis channel length on acrolein selectivity and catalyst activity wasrevealed by using H-ZSM-5 synthesized with varied channel length in b-axis of 60, 130, 180, and 250 nm. Complete glycerol conversion and high acrolein selectivity (88%) were observed over H-ZSM-5 with60 nm channels length in b-axis, due to high availability of active sites and enhanced diffusion throughthe shortest channels, which dramatically suppressed the coke formation. The catalysts with long b-axischannels exhibited a slow internal diffusion, leading to increased polymerization side reactions and cokeformation.

Effects of CPEC on the Economy of China and Pakistan

Sadiq Ullah(Sadiq Ullah ),Mumtaz Alam(Mumtaz Alam ),Zulfiqar Ali Baig(Zulfiqar Ali Baig ) 아시아사회과학학회 2022 Jornal of Asia Social Science Vol.8 No.3

CPEC is a huge investment that will bring prosperity and will heal the economic condition of Pakistan. It will also give China the shortest proximity to the rest of the world. It's a project which will benefit both of the countries as well as Europe and the Gulf. Descriptive analysis is used in this research study to investigate the effects of CPEC on Pakistan and China's economy. Diverse literature was found on this topic and is cited in the literature part of this research study. This study shows that Pakistan and China both of the countries will be better off and will achieve good economic results. Pakistan will get the maximum benefit from CPEC because its infrastructure and energy structure is less developed. And by the injection of this massive CPEC project, the Pakistani economy will boost up, and the mutual trade between China and Pakistan will be enhanced. GDP growth and welfare position of Pakistan will take more benefit from CPEC than China. Chinese export of non-agricultural products will increase more than the Chinese export of agricultural products. While in the case of Pakistani exports, the situation is the opposite one. Agricultural exports will be increased more than the increase in non-agricultural exports of Pakistan.

Regeneration of commercial SCR catalyst deactivated by arsenic poisoning in coal-fired power plants

Qiang Lu,Zulfiqar Ali,Hao Tang,Tahir Iqbal,Zulqarnain Arain,Min-shu Cui,Ding-jia Liu,Wen-yan Li,Yong-ping Yang 한국화학공학회 2019 Korean Journal of Chemical Engineering Vol.36 No.3

Arsenic species, which are inevitable components in flue gas from the coal combustion process, will result in severe deactivation of selective catalytic reduction (SCR) catalysts. In this paper, a novel method is proposed to regenerate the arsenic-poisoned commercial V2O5-MoO3/TiO2 catalyst collected from coal-fired power plants, including ammonia washing, H2 reduction, and air calcination. Activity tests indicated that the proposed method could recover the catalyst activity more than 96% of the fresh catalyst. Furthermore, detailed characterizations results indicated that this regeneration method could not only effectively remove the arsenic species, but also recover the active constituents of the catalysts to a considerable level. The proposed method offers a feasible strategy for the regeneration of poisoned commercial SCR catalysts and can effectively reduce the total denitrification cost for coal-fired power plants.

A Fault Tolerant Data Management Scheme for Healthcare Internet of Things in Fog Computing

( Waqar Saeed ),( Zulfiqar Ahmad ),( Ali I. Jehangiri ),( Nader Mohamed ),( Arif I. Umar ),( Jamil Ahmad ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.1

Fog computing aims to provide the solution of bandwidth, network latency and energy consumption problems of cloud computing. Likewise, management of data generated by healthcare IoT devices is one of the significant applications of fog computing. Huge amount of data is being generated by healthcare IoT devices and such types of data is required to be managed efficiently, with low latency, without failure, and with minimum energy consumption and low cost. Failures of task or node can cause more latency, maximum energy consumption and high cost. Thus, a failure free, cost efficient, and energy aware management and scheduling scheme for data generated by healthcare IoT devices not only improves the performance of the system but also saves the precious lives of patients because of due to minimum latency and provision of fault tolerance. Therefore, to address all such challenges with regard to data management and fault tolerance, we have presented a Fault Tolerant Data management (FTDM) scheme for healthcare IoT in fog computing. In FTDM, the data generated by healthcare IoT devices is efficiently organized and managed through well-defined components and steps. A two way fault-tolerant mechanism i.e., task-based fault-tolerance and node-based fault-tolerance, is provided in FTDM through which failure of tasks and nodes are managed. The paper considers energy consumption, execution cost, network usage, latency, and execution time as performance evaluation parameters. The simulation results show significantly improvements which are performed using iFogSim. Further, the simulation results show that the proposed FTDM strategy reduces energy consumption 3.97%, execution cost 5.09%, network usage 25.88%, latency 44.15% and execution time 48.89% as compared with existing Greedy Knapsack Scheduling (GKS) strategy. Moreover, it is worthwhile to mention that sometimes the patients are required to be treated remotely due to non-availability of facilities or due to some infectious diseases such as COVID-19. Thus, in such circumstances, the proposed strategy is significantly efficient.

Correction to: Regeneration of commercial SCR catalyst deactivated by arsenic poisoning in coal-fired power plants

Qiang Lu,Zulfiqar Ali,Hao Tang,Tahir Iqbal,Zulqarnain Arain,Min-shu Cui,Ding-jia Liu,Wen-yan Li,Yong-ping Yang 한국화학공학회 2019 Korean Journal of Chemical Engineering Vol.36 No.6