2,452 research outputs found

    Presence, deposition flux and mass burden of persistent organic pollutants (POPs) from Mehmood Booti Drain sediments, Lahore

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    This study was conducted with the aim of analyzing persistent organic pollutants i.e., PCBs, PBDEs, DPs and OCPs for sediment samples collected from Mehmood Booti Drain, Lahore, Pakistan that receives higher pollution loads from adjacent waste dumping site. Levels of ∑PCBs, ∑PBDEs, ∑DPs and ∑OCPs ranged between 5.9–62, 0.36–1.32, n.d.–0.02 and 0.96–18.07 ng g−1, respectively. These levels were found to be comparable with other studies of local or global origin. Composition, spatial distribution and source profile indicated that Mehmood Booti waste dumping site was the major input source for sedimentary POPs pollution. The highest POPs deposition flux and mass inventory was attributed to PCBs and OCPs. Deposition flux indicated the input of 6E−04, 5E−05, 9E−07 and 4E−04 t/yr of PCBs, PBDEs, DPs and OCPs into the Mehmood Booti Drain sediments which ultimately discharge into the River Ravi. Mass inventories suggested 1E−02, 3E−04, 7E−06 and 3E−03 metric tons PCBs, PBDEs, DPs and OCPs burden, respectively in the Mehmood Booti Drain sediments

    Early transcriptional response of terpenoid metabolism to Colletotrichum gloeosporioides in a resistant wild strawberry Fragaria nilgerrensis

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    Mehmood, Nasir, Yuan, Yuan, Ali, Mohammed, Ali, Muhammad, Iftikhar, Junaid, Cheng, Chunzhen, Lyu, Meiling, Wu, Binghua (2021): Early transcriptional response of terpenoid metabolism to Colletotrichum gloeosporioides in a resistant wild strawberry Fragaria nilgerrensis. Phytochemistry (112590) 181: 1-12, DOI: 10.1016/j.phytochem.2020.112590, URL: http://dx.doi.org/10.1016/j.phytochem.2020.11259

    Jirga and Sharitization: An Analysis of Maraka in District Karak

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    This paper aims at analyzing the traditional processes of conflict resolution in Pukhtoon society. The institution under study is Jirga an essential element of Pukhtunwali. By using Karak district in Khyber Pakhtunkhwa as a case study, this paper explores Maraka a form of Jirga that dispenses justice at a local level on the basis of Pukhtunwali and Shariah. This study found that the current conflict in the region has significant implications for the institution of Maraka in terms of its structure, composition and dispensation of justice. In most of the Jirgas Ulama (religious clerics) are considered to be an essential part of it. The inclusion of Ulama is making this institution vulnerable to shariatization. A significant number of decisions are taking place on the basis of locally interpreted Shariah law. The paper argues that this trend of shariatization of this institution leads to the weakening of the social relations in the area

    Alam, Mehmood

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    Communication Technologies for Vehicles: Third International Workshop, Nets4Cars/Nets4Trains 2011 Oberpfaffenhofen, Germany, March 23-24, 2011 Proceedings

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    The Communication Technologies for Vehicles workshop series provides an international forum on latest technologies and research in the field of intra- and inter-vehicle communications in which to present original research results in all areas relating to communication protocols and standards, mobility and traffic models, experimental and field operational testing, and performance analysis

    The application of social network analysis in the construction industry of Hong Kong

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    The Hong Kong construction industry is currently facing ageing problem and labour shortage. There are opportunities for employing ethnic minority construction workers to join this hazardous industry. These ethnic minority workers are prone to accidents due to communication barriers. Safety communication is playing an important role for avoiding the accidents on construction sites. However, the ethnic minority workers are not very fluent in the local language and facing safety communication problems while working with local workers. Social network analysis (SNA), being an effective tool to identify the safety communication flow on the construction site, is used to attain the measures of safety communication like centrality, density and betweenness within the ethnic minorities and local workers, and to generate sociograms that visually represent communication pattern within the effective and ineffective safety networks. The aim of this paper is to present the application of SNA for improving the safety communication of ethnic minorities in the construction industry of Hong Kong. The paper provides the theoretical background of SNA approaches for the data collection and analysis using the software UCINET and NetDraw, to determine the predominant safety communication network structure and pattern of ethnic minorities on site

    Hydraulic simulations to evaluate and predict design and operation of the Chashma Right Bank Canal

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    Irrigation systems / Irrigation canals / Flow control / Velocity / Canal regulation techniques / Hydraulics / Simulation models / Design / Operations / Crop-based irrigation / Distributary canals / Water delivery / Policy / Protective irrigation / Water allocation / Water requirements / Sedimentation / Water distribution / Equity / Water conveyance / Pakistan / Chashma Right Bank Canal

    Intelligent Renewable Energy Agent‐Based Distributed Control Design for Frequency Regulation and Economic Dispatch

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    The Distributed Renewable Energy Sources (DRESs) integrate hybrid microgrid and prosumer activities that constitute a dynamic system characterized by unknown network parameters. The dynamic system faces challenges, such as intermittent power supply due to low inertia, renewable intermittence, plug-and-play prosumer activities, network topology variations, and a lack of constraint handling. These complexities pose significant issues in designing effective control for frequency regulation and consensus-based economic load dispatch (ELD) within DRES to meet varying load demands. To address the above challenges, this research employs a machine learning-based distributed multiagent consensus design that offers a rapid and robust approach, mitigating the limitations associated with the Distributed Average Integral (DAI) control design. The proposed multiagent scheme empowers the successful implementation of ELD and frequency regulation, accommodating the intermittent DRES, diverse network topologies, and the dynamic plug-and-play activities of prosumers. Moreover, an optimization-based DAI tuning model is introduced to overcome tuning limitations. Intelligent renewable energy agents are trained through machine learning-based regression models that use root mean square error metrics for performance evaluations. The intelligent agents employ DAI control to overcome inherent limitations. The effectiveness of the machine learning-based DAI is thoroughly evaluated using the DRES-based IEEE 14-bus hybrid microgrid system. The quantitative results prove its efficacy in addressing the complex challenges of integrated microgrid dynamics

    sj-pdf-1-dos-10.1177_15593258221108280 – Supplemental Material for In-silico Studies Calculated a New Chitin Oligomer Binding Site Inside Vicilin: A Potent Antifungal and Insecticidal Agent

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    Supplemental Material, sj-pdf-1-dos-10.1177_15593258221108280 for In-silico Studies Calculated a New Chitin Oligomer Binding Site Inside Vicilin: A Potent Antifungal and Insecticidal Agent by Ahsan Saeed, Zahra Rafiq, Muhammad Imran, Qamar Saeed, Muhammad Q. Saeed, Zahid Ali, Rana K. Iqbal, Saber Hussain, Binish Khaliq, Sohaib Mehmood and Ahmed Akrem in Dose-Response</p
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