A smart healthcare reward model for resource allocation in smart city

Today, cities face many significant challenges, and the smart city concept is a promising means to address typical traditional city problems. The wireless e-health technologies is an evolving topic in the area of telemedicine nowadays. Mobile telecommunication and the use of multimedia technologies are the core of providing better access to healthcare personnel on the move. These technologies provide equal access to medical information and expert care leading to a better and a more efficient use of resources. Mobile and Fog computing technologies can also cope with many challenges in smart healthcare resources of mobility, scalability, efficiency, and reliability. Optimal healthcare systems are particularly critical in cities, due to the highly concentrated populations. This high population increases the potential for harm and damage in the case of negligence or improper treatment. This can lead to infections and disease outbreaks, which could become epidemic situations and require containment, which is very costly. Motivated by the need for better usage and management of healthcare resources, which is crucial for reliable healthcare delivery, this paper introduces a model that can provide improved delivery and utilization of resources. The quality reward-based model was developed to study and react to the satisfaction factors of healthcare systems, and proposes an optimization-based algorithm called the Maximum Reward Algorithm (MRA), that enhances the use and delivery of healthcare resources. The algorithm has been tested with multiple experiments and simulations, and has proved that it can provide reliability, efficiency and achieves 50.1% to 77.2% performance improvement.

     

Optimization of arsenite removal by adsorption onto organically modified montmorillonite clay: Experimental & theoretical approaches

Arsenic is a critical contaminant for aqueous environments as it poses harmful health risks. To meet the stringent regulations regarding the presence of arsenic in aqueous solutions, the feasibility of montmorillonite clay modified with hexadecyltrimethyl ammonium chloride as the adsorbent was tested for the removal of arsenic ions from aqueous solutions. A scanning electron microscopy (SEM) study confirmed that the organically modified nanoclay (ONC) adsorbent had a porous structure with a vast adsorbent surface.The x-ray fluorescence (XRF) analysis proved the presence of carbon in the structure of the modified nanoclay that can be evidence for the creation of ONC. The x-ray diffraction (XRD) analysis results confirm the existence of four main groups of minerals, carbonate (Calcite), clay (Askmtyt and Kandyt), silicate (Quartz), and phyllosilicate (Kaolinite), in the ONC structure.The influence of various parameters such as solution pH, adsorbent dosage, initial arsenite concentration, and contact time on arsenic adsorption onto ONC was investigated. A 2⁵ full factorial central composite experimental design was applied. A central composite design under response surface methodology (RSM) was employed to investigate the effects of independent variables on arsenite removal and to determine the optimum condition. The experimental values were in a good fit with the ones predicted by the model. The optimal operating points (adsorbent dosage: 3.7 g L^?1, surfactant dosage: 3 g L^?1 and the contact time: 37.2min) giving maximum arsenite removal (95.95%) were found using Solver “Add-ins” in Microsoft Excel 2010.     

A re-organizing biosurveillance framework based on fog and mobile edge computing

Multimedia Tools and Applications - Biological threats are becoming a serious security issue for many countries across the world. Effective biosurveillance systems can primarily support appropriate...     

Experimental Analysis of Sediment Deposition Due to the Effect of an Upstream Reservoir Backwater

The phenomenon of aggradation due to sediment accumulation upstream reservoirs had been studied in this research. For this purpose, groups of experiments were conducted in a laboratory with 25 m long, 0.80 m wide and 0.70 m deep channel. A block was built at the end of the channel to work as a dam to impound water. The channel was supplied with drainage pipes on both sides to release water out in a manner similar to what happens in reservoirs. The bed of the channel was filled with sand of 0.80 mm median sieve diameter and 0.72 geometric standard deviation. The slope was 0.0093 for all experiments. Two sizes of sand were used representing the sediment. The median diameter and geometric standard deviation of the first were 0.365 mm and 0.46 mm, respectively. The second sample had 0.65 mm median diameter and 0.67 standard deviation. A total of 70 experiments were conducted in two groups to examine effects of sediment transport rate, particle size of sediment and flow velocity on aggradation characteristics. The results showed that there was a strong linear direct relationship between aggradation elements （length and depth） with the rate of sediment transport. Groups of dimensionless parameters affecting the aggradation characteristics were used to develop empirical equations to predict the length, maximum depth of aggradation and predict transient bed profile. The results of empirical approach were compared with the measurement data and previous numerical method. The results indicated that the percentage error was 19% to 31% for length of aggradation and -21% to 26% for maximum depth of aggradation. The results also showed that the sediment materials were deposited closer to the body of the dam when the released water from the dam is higher than the inflow.     

Bone Tissue Engineering of HA/COL/GO Porous Nanocomposites with the Ability to Release Naproxen: Synthesis,Characterization, and In Vitro Study

In the present research, porous hydroxyapatite/collagen/graphene oxide (HA/COL/GO) nanocomposites were synthesized using the freeze-drying method for naproxen delivery. Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), field emission scanning electron microscopy (FE-SEM), thermogravimetric analysis (TGA), and Brunauer–Emmett–Teller (BET) techniques were applied to analyze the synthesized specimens. In addition, the loading of naproxen and release behavior (pH 7.4 and T?=?37 °C) of the prepared nanocomposites were studied via UV–Vis spectrophotometry. The FE-SEM analysis revealed that HA/COL/GO nano-composites had a rod-like structure and the morphological change in the HA/COL/GO nano-composites confirmed that graphene oxide (GO) sheets and HA/COL nano-particles were successfully incorporated where the nanocomposites were synthesized with size smaller than 50 nm. BET analysis was utilized to confirm the meso and macrostructure of specimens with an average pore diameter within 15–103 nm as well as the BET surface area of 21–178 m²/g. The application of synthesized samples for naproxen delivery in vitro was investigated. As the weight ratio of GO increased, so did the percentage of drug-loading; for the HA/COL/GO-3 sample where the graphene oxide (GO) amount was maximum, the percentage of drug loading capacity (LC%) and percentage of encapsulation efficiency (EE%) were obtained 38.7% and 84.8%, respectively. Naproxen release results in phosphate buffer saline (PBS) confirmed that the initial release occurred in all synthesized nanocomposites within the first 24 h, after which the release rate gradually declined to about 14 days. Under optimal conditions, the HA/COL/GO-3 sample retained about 39.2% of the loaded drug after 14 days, as some of the drug molecules were deeply embedded in the HA/COL/GO-3 sample. Furthermore, the results revealed that the degradation rates of the synthesized nanocomposites can be controlled by adjusting the amount of graphene oxide (GO). Thus, the results show that the samples synthesized in this research can suitable candidates for continuous release of naproxen and bone tissue engineering.

     

A template-free method to synthesize porous G-C3N4 with efficient visible light photodegradation of organic pollutants in water

Porous graphitic carbon nitride with a high surface area was successfully synthesized without using any template or other substances like metals, just by placing melamine powder into a muffle furnace which was heated to 550?°C in advance. To evaluate the structure, morphology, and optical properties, the high performance g-C₃N₄ (HPCN) was analyzed by XRD, SEM-EDX, TEM, N₂ physisorption, FT-IR analysis, UV–Vis DRS, PL, and Zeta potential. HPCN was able to completely degrade rhodamine B under visible light with the rate constant of 0.086?min^?1, which is 3.5 times higher than the traditional g-C₃N₄. The possible mechanism of RhB photodegradation was discussed in detail, which illustrated the reaction is performed in acidic media much better than neutral and basic solutions, and O₂^? and h⁺ are the key reactive species during the reaction. Moreover, the stability of the photocatalyst was investigated and turned out its photocatalytic activity has not considerably changed after 6 cycles, so it was a highly stable photocatalyst.     

Hydrothermal Synthesis of a Nano-sized Mercury(II) N–N–O Donor Coordination Compound

A novel nano-structures mercury(II) coordination compound, [Hg (HPCIH) I₂] (1), (“HPCIH” is the abbreviation of 2-pyridinecarbaldehyde isonicotinoyl hydrazone) has been synthesized by a hydrothermal method that produces the coordination compound at nano size. The new nanostructure was characterized by transmission electron microscopy, scanning electron microscopy, X-ray powder diffraction elemental analysis and IR spectroscopy. Compound 1 was structurally characterized by single crystal X-ray diffraction and the single-crystal structure of this complex shows that each mercury(II) center is five coordinated with two N-donor and one O-donor atoms from “HPCIH” ligand and two iodo anions. Self-assembly of this complexes is realized by CH····I, I····I and π–π stacking interactions. The supramolecular features in these complexes are controlled by weak directional intermolecular interactions.     

Special Issue on Internet of Things: Intelligent Networks,Communication and Mobility (AdHocNets 2020)

Mobile Networks and Applications -