A study of FPGA-based System-on-Chip designs for real-time industrial application

This paper shows the benefits of the Field Programming Gate Array (FPGAs) in industrial control applications. The author starts by addressing the benefits of FPGA and where it is useful. As well as, the author has done some FPGA’s evaluation researches on the FPGA performing explaining the performance of the FPGA and the design tools. To show the benefits of the FPGA, an industrial application example has been used. The application is a real-time face detection and tracking using FPGA. Face tracking will depend on calculating the centroid of each detected region. A DE2-SoC Altera board has been used to implement this application. The application based on few algorithms that filter the captured images to detect them. These algorithms have been translated to a Verilog code to run it on the DE2-SoC boar

Pharmacognostic Studies of Some Indigenous Medicinal Plants of Pakistan

Medicinal plants constitute an effective source of traditional and modern medicines. The plant is a biosynthetic laboratory, not only for chemical compounds but also a multitude of the compounds. The present research work was confined to study the macro, microscopic features and analysis of powdered drug of Acacia modesta Wall., Acacia nilotica (L.) Delile, Berberis lycium Royle and Zanthoxylum alatum D. C. Prod. These studies were carried out in Botany laboratory of University of Arid Agriculture, Rawalpindi during 2004. These species are used as miswak (tooth brush) by local people of Pakistan in different areas. Anatomical features such as, fibres, parenchyma cells, vessels and pith were identified during microscopic studies. Powdered miswak of Acacia modesta Wall., Berberis lycium Royle and Zanthoxylum alatum D. C. Prod. were soluble in sulphuric acid only while insoluble in other solvents, i.e., hydrochloric acid, acetic acid, benzene and water. Powdered miswak of Acacia nilotica was insoluble in these solvents. Powdered drug of these species did not retain their original colour in cold and hot tests and on dry filter paper, when mixed in various solvents

Frondoside A suppressive effects on lung cancer survival, tumor growth, angiogenesis, invasion, and metastasis

A major challenge for oncologists and pharmacologists is to develop less toxic drugs that will improve the survival of lung cancer patients. Frondoside A is a triterpenoid glycoside isolated from the sea cucumber, Cucumaria frondosa and was shown to be a highly safe compound. We investigated the impact of Frondoside A on survival, migration and invasion in vitro, and on tumor growth, metastasis and angiogenesis in vivo alone and in combination with cisplatin. Frondoside A caused concentration-dependent reduction in viability of LNM35, A549, NCI-H460-Luc2, MDA-MB-435, MCF-7, and HepG2 over 24 hours through a caspase 3/7-dependent cell death pathway. The IC50 concentrations (producing half-maximal inhibition) at 24 h were between 1.7 and 2.5 mu M of Frondoside A. In addition, Frondoside A induced a time- and concentration-dependent inhibition of cell migration, invasion and angiogenesis in vitro. Frondoside A (0.01 and 1 mg/kg/day i.p. for 25 days) significantly decreased the growth, the angiogenesis and lymph node metastasis of LNM35 tumor xenografts in athymic mice, without obvious toxic side-effects. Frondoside A (0.1-0.5 mu M) also significantly prevented basal and bFGF induced angiogenesis in the CAM angiogenesis assay. Moreover, Frondoside A enhanced the inhibition of lung tumor growth induced by the chemotherapeutic agent cisplatin. These findings identify Frondoside A as a promising novel therapeutic agent for lung cancer

Using geodesic space density gradients for network community detection

Many real world complex systems naturally map to network data structures instead of geometric spaces because the only available information is the presence or absence of a link between two entities in the system. To enable data mining techniques to solve problems in the network domain, the nodes need to be mapped to a geometric space. We propose this mapping by representing each network node with its geodesic distances from all other nodes. The space spanned by the geodesic distance vectors is the geodesic space of that network. Position of different nodes in the geodesic space encode the network structure. In this space, considering a continuous density field induced by each node, density at a specific point is the summation of density fields induced by all nodes. We drift each node in the direction of positive density gradient using an iterative algorithm till each node reaches a local maximum. Due to the network structure captured by this space, the nodes that drift to the same region of space belong to the same communities in the original network. We use the direction of movement and final position of each node as important clues for community membership assignment. The proposed algorithm is compared with more than ten state of the art community detection techniques on two benchmark networks with known communities using Normalized Mutual Information criterion. The proposed algorithm outperformed these methods by a significant margin. Moreover, the proposed algorithm has also shown excellent performance on many real-world networks

Halal Integrity in the Food Supply Chain

Purpose: This paper argues that there is an absence of halal integrity within the conventional stages of a food chain. This paper adapts the understanding of the different stages and argues the need to develop a critical consciousness for halal integrity within the food chain to address the needs of the ever-growing Muslim consumers’ market. The aim of this paper is to propose a definition of halal integrity using farm to fork and global food supply chain models. Design: The study includes a review of priori literature and media reports regarding cross contamination of food products with haram (forbidden) components. This background will be used to conceptualise halal integrity using farm to fork and a global supply chain models. Findings: Different interpretations of halal – what is permitted and what is prohibited – exist for the different schools of Islamic legal thought and within the customs of different countries. In order to ensure that food production is embracive of the religious needs of the global Muslim customer market, this paper utilises the farm to fork and global supply chain models to foster a critical awareness of halal needs. Halal integrity should be clearly presenting the details of the halal status of the product and assuring that the requirements for halal as stated are met. Halal integrity not only deals with permitted and prohibited foods, but that the halal status of the food products (i.e. from raw materials until it reaches the consumers) should not be breached (i.e. no cross contamination with haram products / methods and no ill intents). A formal definition of halal integrity has been proposed

A new processing approach for reducing computational complexity in cloud-RAN mobile networks

Cloud computing is considered as one of the key drivers for the next generation of mobile networks (e.g. 5G). This is combined with the dramatic expansion in mobile networks, involving millions (or even billions) of subscribers with a greater number of current and future mobile applications (e.g. IoT). Cloud Radio Access Network (C-RAN) architecture has been proposed as a novel concept to gain the benefits of cloud computing as an efficient computing resource, to meet the requirements of future cellular networks. However, the computational complexity of obtaining the channel state information in the full-centralized C-RAN increases as the size of the network is scaled up, as a result of enlargement in channel information matrices. To tackle this problem of complexity and latency, MapReduce framework and fast matrix algorithms are proposed. This paper presents two levels of complexity reduction in the process of estimating the channel information in cellular networks. The results illustrate that complexity can be minimized from O(N3) to O((N/k)3), where N is the total number of RRHs and k is the number of RRHs per group, by dividing the processing of RRHs into parallel groups and harnessing the MapReduce parallel algorithm in order to process them. The second approach reduces the computation complexity from O((N/k)3) to O((N/k)2:807) using the algorithms of fast matrix inversion. The reduction in complexity and latency leads to a significant improvement in both the estimation time and in the scalability of C-RAN networks

Prophets and Priests of the Nation: Naguib Mahfouz’s Karnak Café and the 1967 Crisis in Egypt

Similarities between religion and nationalism are well known but not well understood. They can be explained by drawing on Pierre Bourdieu's sociological theory in order to consider symbolic interests and the strategies employed to advance them. In both religion and nationalism, the “strategy of the prophets” relies on charisma while the “strategy of the priests” relies on cultural capital. In 20th-century Egypt, nationalism permitted intellectuals whose cultural capital was mainly secular, such as Naguib Mahfouz, to become “priests of the nation” in order to compete with the ʿulamaʾ for prestige and influence. However, it severely limited their autonomy, particularly after Nasser took power and became a successful nationalist prophet. Mahfouz's novel Al-Karnak, which explores the fate of the Nasser regime's political prisoners and the effects of Egypt's 1967 military defeat, reflects this limitation. Under a nationalist regime, the film adaptation of the novel contributed to Mahfouz's heteronomy

Serum SmD autoantibody proteomes are clonally restricted and share variable-region peptides

This article is under embargo for 12 months from the date of publication [Publication date: 7 Jan 2015] in accordance with publisher copyright policy.Recent advances in mass spectrometry-based proteomic methods have allowed variable (V)- region peptide signatures to be derived from human autoantibodies present in complex serum mixtures. Here, we analysed the clonality and V-region composition of immunoglobulin (Ig) proteomes specific for the immunodominant SmD protein subunit of the lupus-specific Sm autoantigen. Precipitating SmD-specific IgGs were eluted from native SmD-coated ELISA plates preincubated with sera from six patients with systemic lupus erythematosus (SLE) positive for anti-Sm/RNP. Heavy (H)- and light (L)-chain clonality and V-region sequences were analysed by 2-dimensional gel electrophoresis and combined de novo database mass spectrometric sequencing. SmD autoantibody proteomes from all six patients with SLE expressed IgG1 kappa restricted clonotypes specified by IGHV3-7 and IGHV1-69 H-chains and IGKV3-20 and IGKV2-28 L-chains, with shared and individual V-region amino acid replacement mutations. Clonotypic sharing and restricted V-region diversity of systemic autoimmunity can now be extended from the Ro/La cluster to Sm autoantigen and implies a common pathway of anti-Sm autoantibody production in unrelated patients with SLE

Latency reduction by dynamic channel estimator selection in C-RAN networks using fuzzy logic

Due to a dramatic increase in the number of mobile users, operators are forced to expand their networks accordingly. Cloud Radio Access Network (C-RAN) was introduced to tackle the problems of the current generation of mobile networks and to support future 5G networks. However, many challenges have arisen through the centralised structure of C-RAN. The accuracy of the channel state information acquisition in the C-RAN for large numbers of remote radio heads and user equipment is one of the main challenges in this architecture. In order to minimize the time required to acquire the channel information in C-RAN and to reduce the end-to-end latency, in this paper a dynamic channel estimator selection algorithm is proposed. The idea is to assign different channel estimation algorithms to the users of mobile networks based on their link status (particularly the SNR threshold). For the purpose of automatic and adaptive selection to channel estimators, a fuzzy logic algorithm is employed as a decision maker to select the best SNR threshold by utilising the bit error rate measurements. The results demonstrate a reduction in the estimation time with low loss in data throughput. It is also observed that the outcome of the proposed algorithm increases at high SNR values