Labor absorptive capacity of export expansion and import substitution in Egypt, 1954 to 1970

In the post war era, much has been said about the role of the foreign trade sector in affecting the rate and the level of domestic economic growth in the group of LDCs. The impact of exports in particular received the lion's share of attention. It has been frequently argued that exports act as an engine of growth. The line of causation here runs from exports to domestic economic growth. Through the effects of both the multiplier and the accelerator, output expands by a multiple of the initial value of exports. Exportation also tends to reduce the opportunity cost of domestic resources by providing foreign exchange necessary to meet domestic demands from abroad at relatively lower prices. Forward and backward linkages stimulate growth in export-related activities. Export expansion, in addition, gives rise to external economies, economies of scale, an efficient allocation of resources, and a greater-than-one elasticity of expectations on the part of domestic exporters. Thus, we set out in this note to measure the labour absorptive capacity of exports and import substitution in Egypt. Our objective function which we seek to maximize (minimize) is that of labour employment (unemployment) via the foreign trade sector.

Proactive Location-Based Scheduling of Delay-Constrained Traffic Over Fading Channels

In this paper, proactive resource allocation based on user location for point-to-point communication over fading channels is introduced, whereby the source must transmit a packet when the user requests it within a deadline of a single time slot. We introduce a prediction model in which the source predicts the request arrival $T_p$ slots ahead, where $T_p$ denotes the prediction window (PW) size. The source allocates energy to transmit some bits proactively for each time slot of the PW with the objective of reducing the transmission energy over the non-predictive case. The requests are predicted based on the user location utilizing the prior statistics about the user requests at each location. We also assume that the prediction is not perfect. We propose proactive scheduling policies to minimize the expected energy consumption required to transmit the requested packets under two different assumptions on the channel state information at the source. In the first scenario, offline scheduling, we assume the channel states are known a-priori at the source at the beginning of the PW. In the second scenario, online scheduling, it is assumed that the source has causal knowledge of the channel state. Numerical results are presented showing the gains achieved by using proactive scheduling policies compared with classical (reactive) networks. Simulation results also show that increasing the PW size leads to a significant reduction in the consumed transmission energy even with imperfect prediction.Comment: Conference: VTC2016-Fall, At Montreal-Canad

Labor absorptive capacity of export expansion and import substitution in Egypt, 1954 to 1970

In the post war era, much has been said about the role of the foreign trade sector in affecting the rate and the level of domestic economic growth in the group of LDCs. The impact of exports in particular received the lion's share of attention. It has been frequently argued that exports act as an engine of growth. The line of causation here runs from exports to domestic economic growth. Through the effects of both the multiplier and the accelerator, output expands by a multiple of the initial value of exports. Exportation also tends to reduce the opportunity cost of domestic resources by providing foreign exchange necessary to meet domestic demands from abroad at relatively lower prices. Forward and backward linkages stimulate growth in export-related activities. Export expansion, in addition, gives rise to external economies, economies of scale, an efficient allocation of resources, and a greater-than-one elasticity of expectations on the part of domestic exporters. Thus, we set out in this note to measure the labour absorptive capacity of exports and import substitution in Egypt. Our objective function which we seek to maximize (minimize) is that of labour employment (unemployment) via the foreign trade sector

Optimal Energy Allocation For Delay-Constrained Traffic Over Fading Multiple Access Channels

In this paper, we consider a multiple-access fading channel where $N$ users transmit to a single base station (BS) within a limited number of time slots. We assume that each user has a fixed amount of energy available to be consumed over the transmission window. We derive the optimal energy allocation policy for each user that maximizes the total system throughput under two different assumptions on the channel state information. First, we consider the offline allocation problem where the channel states are known a priori before transmission. We solve a convex optimization problem to maximize the sum-throughput under energy and delay constraints. Next, we consider the online allocation problem, where the channels are causally known to the BS and obtain the optimal energy allocation via dynamic programming when the number of users is small. We also develop a suboptimal resource allocation algorithm whose performance is close to the optimal one. Numerical results are presented showing the superiority of the proposed algorithms over baseline algorithms in various scenarios.Comment: IEEE Global Communications Conference: Wireless Communications (Globecom2016 WC

CA19-9 as a Potential Target for Radiolabeled Antibody-Based Positron Emission Tomography of Pancreas Cancer.

Introduction. Sensitive and specific imaging of pancreas cancer are necessary for accurate diagnosis, staging, and treatment. The vast majority of pancreas cancers express the carbohydrate tumor antigen CA19-9. The goal of this study was to determine the potential to target CA19-9 with a radiolabeled anti-CA19-9 antibody for imaging pancreas cancer. Methods. CA19-9 was quantified using flow cytometry on human pancreas cancer cell lines. An intact murine anti-CA19-9 monoclonal antibody was labeled with a positron emitting radionuclide (Iodine-124) and injected into mice harboring antigen positive and negative xenografts. MicroPET/CT were performed at successive time intervals (72 hours, 96 hours, 120 hours) after injection. Radioactivity was measured in blood and tumor to provide objective confirmation of the images. Results. Antigen expression by flow cytometry revealed approximately 1.3 × 10(6) CA19-9 antigens for the positive cell line and no expression in the negative cell line. Pancreas xenograft imaging with Iodine-124-labeled anti-CA19-9 mAb demonstrated an average tumor to blood ratio of 5 and positive to negative tumor ratio of 20. Conclusion. We show in vivo targeting of our antigen positive xenograft with a radiolabeled anti-CA19-9 antibody. These data demonstrate the potential to achieve anti-CA19-9 antibody based positron emission tomography of pancreas cancer

Fast non-recursive extraction of individual harmonics using artificial neural networks

A collaborative work between Northumbria University and University of Peradeniya (Sri Lanka). It presents a novel technique based on Artificial Neural Networks for fast extraction of individual harmonic components. The technique was tested on a real-time hardware platform and results obtained showed that it is significantly faster and less computationally complex than other techniques. The paper complements other publications by the author (see paper 1) on the important area of “Power Quality” of electric power networks. It involves the application of advanced techniques in artificial intelligence to solve power systems problems

Vitamin D: pharmacology and clinical challenges in oral health care

Vitamin D is a hormone, produced endogenously through cutaneous transformation of 7-dehydrocholesterol by UVB-irradiation with skeletal and non-skeletal functions and could be involved in oral health conditions especially periodontitis. Vitamin D main mechanism of action occurs through binding to its intracellular receptor. In this article, we aim to review the beneficial role of vitamin D in dentistry. Articles related to vitamin D and oral health were screened and reviewed with the main findings and clinical implications presented. Vitamin D deficiency prevalence is high especially among the elderly and is associated with oral health complications such as periodontitis with a possible role of vitamin D supplementation in oral health conditions’ management. The review discusses the main findings as although the majority of the literature demonstrates vitamin D essential role, some research suggest excess vitamin D supplementation could lead to other health issues. Thus, further research is needed to define vitamin D target levels and establish effective strategies for managing patients suffering from oral health conditions especially periodontitis. Improving the knowledge of dental practitioners, periodontologists and pharmacists regarding vitamin D deficiency implications in oral health conditions could guide the management of oral conditions especially periodontitis