BackgroundBiological Regulatory Networks (BRNs) are responsible for developmental and maintenance related functions in organisms. These functions are implemented by the dynamics of BRNs and are sensitive to regulations enforced by specific activators and inhibitors. The logical modeling formalism by René Thomas incorporates this sensitivity with a set of logical parameters modulated by available regulators, varying with time. With the increase in complexity of BRNs in terms of number of entities and their interactions, the task of parameters estimation becomes computationally expensive with existing sequential SMBioNET tool. We extend the existing sequential implementation of SMBioNET by using a data decomposition approach using a Java messaging library called MPJ Express. The approach divides the parameters space into different regions and each region is then explored in parallel on High Performance Computing (HPC) hardware.ResultsThe performance of the parallel approach is evaluated on BRNs of different sizes, and experimental results on multicore and cluster computers showed almost linear speed-up. This parallel code can be executed on a wide range of concurrent hardware including laptops equipped with multicore processors, and specialized distributed memory computer systems. To demonstrate the application of parallel implementation, we selected a case study of Hexosamine Biosynthetic Pathway (HBP) in cancer progression to identify potential therapeutic targets against cancer. A set of logical parameters were computed for HBP model that directs the biological system to a state of recovery. Furthermore, the parameters also suggest a potential therapeutic intervention that restores homeostasis. Additionally, the performance of parallel application was also evaluated on a network (comprising of 23 entities) of Fibroblast Growth Factor Signalling in Drosophila melanogaster.ConclusionsQualitative modeling framework is widely used for investigating dynamics of biological regulatory networks. However, computation of model parameters in qualitative modeling is computationally intensive. In this work, we presented results of our Java based parallel implementation that provides almost linear speed-up on both multicore and cluster platforms. The parallel implementation is available at https://psmbionet.github.io.Electronic supplementary materialThe online version of this article (10.1186/s12918-018-0670-y) contains supplementary material, which is available to authorized users.

ZnO/GO (Graphene Oxide) and SAN (Styrene Acrylonitrile)/PANI (Polyaniline)/FLG (Few Layers Graphene) nanocomposite coatings were produced by solution casting and sol-gel methods, respectively, to enhance corrosion resistance of ferrous based materials. Corrosive seawater and ‘produced crude oil water’ environments were selected as electrolytes for this study. Impedance and coating capacitance values obtained from Electrochemical Impedance Spectroscopy (EIS) Alternating Current (AC technique) showed enhanced corrosion resistance of nanocomposites coatings in the corrosive environments. Tafel scan Direct Current (DC technique) was used to find the corrosion rate of nanocomposite coating. SAN/PANI/FLG coating reduced the corrosion of bare metal up to 90% in seawater whereas ZnO/GO suppressed the corrosion up to 75% having the impedance value of 100 Ω. In produced water of crude oil, SAN/PANI/FLG reduced the corrosion up to 95% while ZnO/GO suppressed the corrosion up to 10%. Hybrid composites of SAN/PANI/FLG coatings have demonstrated better performances compared to ZnO/GO in the corrosive environments under investigation. This study provides fabrication of state-of-the-art novel anti corrosive nanocomposite coatings for a wide range of industrial applications. Reduced corrosion will result in increased service lifetime, durability and reliability of components and system and will in turn lead to significant cost savings.

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Abstract Objective: To monitor the frequencies of different adverse transfusion reactions and to assess the compliance of clinical staff with the process of sending proper transfusion reaction workup within the specified time. Methods: The retrospective audit was conducted at the blood bank of Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan, and comprised all transfusion reaction forms received from July 1, 2017, to June 30, 2018. The forms were analysed for type of blood component, time in which it was received by thw blood bank, whether or not the form was completely filled, whether or not all required samples were provided, and the type of reaction. Results: Of the 12,787 units dispensed and transfused, 50(0.39%) transfusion reactions were noted. Allergic was the most frequent type 24(48%). Red cells accounted for 38(76%) of the reactions. In 58(95%) cases, reaction forms were completely filled. Blood bags in 36(59%) and post-transfusion ethylenediaminetetraacetic acid samples in 35(57.3%) cases were received at blood bank within 2 hours of reaction. Conclusion: Incidence of transfusion reactions was found to be low as there was good compliance with procedures on the part of the clinical staff. Key Words: Transfusion reactions, Haemo-vigilance, Clinical audit.

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