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Nandrolone decanoate safely combats catabolism in burned patients: A new potential indication after recall

Introduction: The hyper-catabolic state is a devastating pathophysiological response to severe injury, infection or burns. Nandrolone decanoate (ND) is a potent anabolic steroid have many clinical indications, but not investigated in burn injuries yet. Patients and methods: A prospective randomized control study included 40 burned patients who were treated in Burn unit from burn injuries ranged from 20 to 40%. Both groups are objectively assessed, clinically and laboratory during treatment period till full recovery from burns’ injury. Recall assessment of the drug safety after many years is

Artificial Intelligence
Healthcare
Innovation, Entrepreneurship and Competitiveness

Support for increased cardiovascular risk in non-segmental vitiligo among Egyptians: A hospital-based, case–control study

Background: Data have been accumulating in the past few years that identify vitiligo as a disorder with systemic implications. Results and methods: In this hospital-based, cross-sectional, case–control study, 50 patients with non-segmental vitiligo and 50 age- and sex-matched controls underwent analysis of serum lipid profile, oxidative stress biomarkers and carotid duplex. Hydrogen peroxide (H2O2) and malondialdehyde (MDA) were significantly higher in patients than controls (p-value <.001, <.001, respectively); on the other hand, total antioxidant capacity (TAC) was significantly lower in

Artificial Intelligence
Healthcare
Innovation, Entrepreneurship and Competitiveness

Single and multiple risk factors in the Egyptian stock market

The return-risk trade-off of the 100 stocks contained in the Egyptian EGX100 index is examined. The Egyptian stock market has an average free float of only 45%. It is estimated that 50% of trading in the free float stocks is dominated by large investors, and local and international fund managers. The market suffers from low turnovers and more recently long periods of trade suspension after the political unrest of January 25th, 2011. The study finds that a serial correlated returns model is more suitable to estimate returns for low free float stocks in Egypt. However, it is unlikely that this

Innovation, Entrepreneurship and Competitiveness

Supervised fuzzy C-means techniques to solve the capacitated vehicle routing problem

Fuzzy C-Means (FCM) clustering technique is among the most effective partitional clustering algorithms available in the literature. The Capacitated Vehicle Routing Problem (CVRP) is an important industrial logistics and managerial NP-hard problem. Cluster-First Route-Second Method (CFRS) is one of the efficient techniques used to solve CVRP. In CFRS technique, customers are first divided into clusters in the first phase, then each cluster is solved independently as a Traveling Salesman Problem (TSP) in the second phase. This research is concerned with the clustering phase of CFRS, and TSP is

Artificial Intelligence
Innovation, Entrepreneurship and Competitiveness

Swarm intelligence application to UAV aided IoT data acquisition deployment optimization

It is feasible and safe to use unmanned aerial vehicle (UAV) as the data collection platform of the Internet of things (IoT). In order to save the energy loss of the platform and make the UAV perform the collection work effectively, it is necessary to optimize the deployment of UAV. The objective problem is to minimize the sum of the lost energy of UAV and the loss of data transmission of Internet of things devices. The key to solving the problem is to calculate the location of the docking points and the number of docking points when the UAV is working to collect data. This paper proposes a

Artificial Intelligence
Software and Communications
Innovation, Entrepreneurship and Competitiveness

Agent-based simulation of urban infrastructure asset management activities

This paper presents a case for adopting agent-based modeling (ABM) as a framework for representing the complex interactions that occur within the context of urban infrastructure management. A generic ABM is proposed with four key agents namely; assets, users, operators and politicians. For each agent a set of generic attributes, actions and behaviors are defined. A detailed behavioral model is adapted from the service quality domain to represent customer perceptions and actions related to infrastructure level of service. An illustrative example of 20 assets and 50 user agents is simulated to

Mechanical Design
Innovation, Entrepreneurship and Competitiveness

Assessing lean systems using variability mapping

A new approach to assess lean manufacturing based on system's variability is proposed. The assessment utilizes a new tool called variability source mapping (VSMII) which focuses on capturing and reducing variability across the production system. The new tool offers a new metric called variability index to measure the overall variability level of the system. Based on the mapping and the new metric, VSMII suggests a variability reduction plan guided by a recommendation list of both lean techniques as well as production control policies. An industrial application is used to demonstrate the new

Software and Communications
Innovation, Entrepreneurship and Competitiveness

Study of Approaches to Implement the Prism-Based Surface Plasmon Resonance Sensors

Surface plasmon resonance (SPR) sensors are increasingly in demand due to their high sensitivity, better accuracy, and improved detection limit. Such performance parameters make these sensors suitable for biological and medical field’s applications. During the last decade, prism coupling-based SPR sensors had been a preferred choice among the designer and developers across the globe. This article summarizes a review of prism coupling-based SPR photonic sensors. Important performance characteristics of such sensors have also been studied with respect to their detection accuracy, sensitivity

Software and Communications
Innovation, Entrepreneurship and Competitiveness

Study of optical power variations in multi-layer human skin model for monitoring the light dose

Monitoring light dose is essential in much clinical procedures like bio-stimulation, neuro-medicine and photodynamic therapy and in many biophotonics applications such as optogenetics and biosensing. However, monitoring the optical power dissipation as light travels in different layers of tissue is essential in determining the required optical dose. Each part in the human body is protected by different thickness of skin layer; therefore, studying the variations of the optical power when light propagates in different thicknesses of the human skin is essential for safe and accurate medical

Software and Communications
Innovation, Entrepreneurship and Competitiveness

New achievable secrecy rate regions for the two way wiretap channel

This work develops new achievable rate regions for the two way wiretap channel. In our setup, Alice and Bob wish to exchange messages securely in the presence of a passive eavesdropper Eve. In the full-duplex scenario, our achievability argument relies on allowing the two users to jointly optimize their channel prefixing distributions, such that the new channel conditions are favorable compared to that of Eve. Random binning and private key sharing over the channel are then used to exploit the secrecy advantage available in the equivalent cascade channel and to distribute the available secrecy

Software and Communications
Innovation, Entrepreneurship and Competitiveness