401 research outputs found

    Axially and Peripherally Substituted Phthalocyanine and Azaphthalocyanine Complexes for Heterojunction Design

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    The aim of this work was to synthesize novel phthalocyanines and pyrazinoporphyrazines with the main group elements and transition metals. The conformational rigidity and the steric bulk of their peripherally annelated cyclohexene rings tend to reduce the degree of aggregation, thus enhancing the solubility of these 42 π- Hückel aromatic system without inhibiting their tendencies to form crystalline phases. For central metals having an oxidation state > II, the possibility of introducing anionic axial ligands Lax, at the metal center was investigated and the optical properties of these chromophores were determined. In addition to their high solubility, some of the synthesized chromophores were found to be sublimable. Phthalocyanines and related compounds are interesting materials for optoelectronic applications; thus, a study of the electronic HOMO and LUMO alignment and coupling of these new chromophores at different heterojunction interfaces is outlined

    p-Convex Functions in Discrete Sets

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    We study the new concept of a p-convex function and A-p-convex sets for somenbsp set A of a vector spacenbsp E. These concepts may have applications in convex and non linear analysis and other topics of mathematical sciences

    Development of numerical wave power prediction tool offshore oscillating water column wave energy converter

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    Marine renewable energy sources are crucial alternatives for a sustainable development. The idea of generating electrical power from water waves has been realized for many years. In fact, waves are now considered as an ideal renewable energy source since a Wave Energy Converter (WEC) has no fuel cost and provides cleanly a high power density that is available most of the time. The third generation of WECs is intended to be installed offshore. This allows the device to harvest the great energy content of waves found in deep water and minimise the environmental impacts of the device. On the other hand, moving WECs to offshore locations will increase the initial and maintenance costs. So many types of device may be suggested for wave power extraction that the task of selecting a particular one is made complicated. Therefore modelling of different WECs allows the comparison between them and the selection of the optimum choice. Recent studies showed that the SparBuoy Oscillating Water Column (OWC) has the advantage of being simple, axi-symmetrical, and equally efficient at capturing energy from all directions, but its efficiency (capture factor) is affected significantly by the incident wave periods variation due to the dynamic coupling of the water column and the floating structure. The proper modelling of the device allows the optimization of the geometries and the Power Take-Off (PTO) mechanism in order to maximise the power absorbed. The main objective of this research is to develop experimentally validated numerical wave power prediction tool for offshore SparBuoy OWC WEC. The numerical tool should be able to predict the spar motions and the water column oscillations inside the structure, in addition to the estimation of the pneumatic power absorber and the evaluation of the device performance. Three uncoupled linear second order differential equations have been used to predict the spar surge, heave and pitch motions, where wave forces have been calculated analytically in frequency domain in inertia and diffraction regimes. Mooring system has been involved in surge motion only using static and quasi-static modelling approaches.;Finite element multi-static model have been developed using OrcaFlex to validate the analytical results. Single Degree of Freedom (DOF) mechanical oscillation model has been presented to simulate the water column oscillations inside captive cylindrical OWC where PTO damping and stiffness due to air compressibility inside the pneumatic chamber have been taken into account linearly. Later on, nonlinearity due to large waves has been investigated. Linearized frequency domain model based on classical perturbation theory and nonlinear model where wave forces are calculated in time domain have been proposed. Furthermore, nonlinearity due to damping forces has been considered. First, iterative procedure has been used to optimise the linear and quadratic damping coefficients in frequency domain. Then, another model has been provided where equivalent viscous damping coefficients are calculated in time domain by taking into consideration the instant oscillation amplitude. Finally the nonlinear effects due to air compressibility inside the OWC chamber has been considered in a time domain model which include the water column oscillations amplitudes. Two different dynamic models have been implemented to describe floating OWC and will be referred to in the text as simplified 2DOF model and Szumko model. Both models considered two translational modes of motions in heave direction. Simplified 2DOF model has been solved analytically in frequency domain due to its simplicity, while numerical solutions in time domain have been provided for both models using Matlab. Different approaches have been adopted to modify both models in order to obtain a satisfactory agreement between the predicted and measured results. A floating platform consists of four similar SparBuoy OWC WECs rigidly attached together by trusses where spars are located at the corners have been tested experimentally. Numerical model has been developed to predict the platform motions. Finally the experimental results have been compared to those obtained from the modelling of single SparBuoy OWC.Marine renewable energy sources are crucial alternatives for a sustainable development. The idea of generating electrical power from water waves has been realized for many years. In fact, waves are now considered as an ideal renewable energy source since a Wave Energy Converter (WEC) has no fuel cost and provides cleanly a high power density that is available most of the time. The third generation of WECs is intended to be installed offshore. This allows the device to harvest the great energy content of waves found in deep water and minimise the environmental impacts of the device. On the other hand, moving WECs to offshore locations will increase the initial and maintenance costs. So many types of device may be suggested for wave power extraction that the task of selecting a particular one is made complicated. Therefore modelling of different WECs allows the comparison between them and the selection of the optimum choice. Recent studies showed that the SparBuoy Oscillating Water Column (OWC) has the advantage of being simple, axi-symmetrical, and equally efficient at capturing energy from all directions, but its efficiency (capture factor) is affected significantly by the incident wave periods variation due to the dynamic coupling of the water column and the floating structure. The proper modelling of the device allows the optimization of the geometries and the Power Take-Off (PTO) mechanism in order to maximise the power absorbed. The main objective of this research is to develop experimentally validated numerical wave power prediction tool for offshore SparBuoy OWC WEC. The numerical tool should be able to predict the spar motions and the water column oscillations inside the structure, in addition to the estimation of the pneumatic power absorber and the evaluation of the device performance. Three uncoupled linear second order differential equations have been used to predict the spar surge, heave and pitch motions, where wave forces have been calculated analytically in frequency domain in inertia and diffraction regimes. Mooring system has been involved in surge motion only using static and quasi-static modelling approaches.;Finite element multi-static model have been developed using OrcaFlex to validate the analytical results. Single Degree of Freedom (DOF) mechanical oscillation model has been presented to simulate the water column oscillations inside captive cylindrical OWC where PTO damping and stiffness due to air compressibility inside the pneumatic chamber have been taken into account linearly. Later on, nonlinearity due to large waves has been investigated. Linearized frequency domain model based on classical perturbation theory and nonlinear model where wave forces are calculated in time domain have been proposed. Furthermore, nonlinearity due to damping forces has been considered. First, iterative procedure has been used to optimise the linear and quadratic damping coefficients in frequency domain. Then, another model has been provided where equivalent viscous damping coefficients are calculated in time domain by taking into consideration the instant oscillation amplitude. Finally the nonlinear effects due to air compressibility inside the OWC chamber has been considered in a time domain model which include the water column oscillations amplitudes. Two different dynamic models have been implemented to describe floating OWC and will be referred to in the text as simplified 2DOF model and Szumko model. Both models considered two translational modes of motions in heave direction. Simplified 2DOF model has been solved analytically in frequency domain due to its simplicity, while numerical solutions in time domain have been provided for both models using Matlab. Different approaches have been adopted to modify both models in order to obtain a satisfactory agreement between the predicted and measured results. A floating platform consists of four similar SparBuoy OWC WECs rigidly attached together by trusses where spars are located at the corners have been tested experimentally. Numerical model has been developed to predict the platform motions. Finally the experimental results have been compared to those obtained from the modelling of single SparBuoy OWC

    Impact of New Large Aircraft on Airport Flexible Pavements

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    The objective of the study is to evaluate the effects of New Large Aircraft (NLA) on airport flexible pavement in terms of its expected impact on pavement life. The study is conducted using Hurghada Airport air fleet composition at four hypothetical annual departure levels, four standard subgrade strength categories, and introducing NLA at five different percentages. On the basis of the results of this research, it is concluded that, where an airport has a subgrade with CBR values higher than 6%, airport authority may permit the operation of A380 up to an additional 3% of the existing annual departures without losing more than 10 to 30 percent of pavement life. For airports with CBR values less than 6%, a significant reduction in pavement life as high as 40 to 90% should be anticipated in case of introducing the A380 at 3 percent share in the traffic mix or more. In case of subgrade strength CBR less than 6%, there is a high rate of pavement life reduction due to introduction of A380 up to 2% share in the traffic mix. However, there is a low rate of pavement life reduction due to introduction of A380 from 2% and up to 5% share in the traffic mix. Keywords: Airports, New Large Aircraft, NLA, Flexible pavements, A38

    (R, S) conjugate solution to coupled Sylvester complex matrix equations with conjugate of two unknowns

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    In this work, we are concerned with (R, S) – conjugate solutions to coupled Sylvester complex matrix equations with conjugate of two unknowns. When the considered two matrix equations are consistent, it is demonstrated that the solutions can be obtained by utilizing this iterative algorithm for any initial arbitrary (R,S) – conjugate matrices V1,W1. A necessary and sufficient condition is established to guarantee that the proposed method converges to the (R,S) – conjugate solutions. Finally, two numerical examples are provided to demonstrate the efficiency of the described iterative technique

    Protective Effect of L-Carnitine and Coenzyme Q10 on CCl4-Induced Liver Injury in Rats

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    This study provides an information about the mechanisms of liver injury induced by CCl4, and determines the influence of administration of L-carnitine or/and CoQ10 as prophylactic agents against CCl4 deteriorative effect. The study was carried out on 80 adult male albino rats divided into eight groups, 10 animals each, as follows: four normal groups (control, treated with L-carnitine, treated with CoQ10, and treated with a combination of Lcarnitine and CoQ10) and four liver injury groups treated with CCl4 (control, treated with L-carnitine, treated with CoQ10, and treated with a combination of L-carnitine and CoQ10). Liver injury was induced by s.c. injection of a single dose of CCl4 (1 ml/kg). L-carnitine (50 mg/kg/day) was given i.p. for four successive days 24 hours before CCl4 injection, and CoQ10 (200 mg/kg) was given as a single i.p. dose 24 hours before CCl4 injection. Animals were sacrificed 24 hours after CCl4 injection, blood samples were withdrawn and liver tissue samples were homogenized. The levels of the following parameters were determined: hepatic reduced glutathione, serum ALT and AST, hepatic lipid peroxides, hepatic vitamin C, hepatic and serum total protein, serum albumin, serum sialic acid, serum nitrite, and serum and hepatic total LDH activities and LDH isoenzymes. The obtained data revealed that CCl4 injection produced a significant decrease in reduced glutathione content, vitamin C, total protein and albumin levels. However, there was a significant increase in serum ALT and AST activities, lipid peroxides, sialic acid, nitric oxide, serum and hepatic total LDH activities. On the other hand, groups treated with L-carnitine or/and CoQ10 prior to CCl4 injection showed an improvement in most parameters when compared with cirrhotic control group. It has been concluded that L-carnitine and coenzyme Q10 have a pronounced prophylactic effect against liver damage induced by halogenated alkanes such as carbon tetrachloride

    Influence of Oscillating Packing Instrument on Microhardness of Bulk-Fill Composite: In Vitro Study

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    AIM: This study aimed to assess Vickers microhardness of Tetric EvoCeram Bulk Fill composite that was packed manually and using oscillating packing device. MATERIALS AND METHODS: Two different packing techniques were applied on Tetric EvoCeram Bulk Fill composite. For each packing technique, ten specimens (6 mm in diameter and 4 mm height) were prepared using a black-shaded Teflon mold. The resin was inserted in a bulk increment either packed manually or using Compothixo oscillating device and then light-cured for 40 s. Microhardness was analyzed at the top and the bottom surfaces. RESULTS: Overall, for both packing techniques, microhardness decreased significantly with the increase of depth. Tetric EvoCeram Bulk Fill composite when packed either manually or using oscillating device, did not show significant difference neither at the top surfaces of both applied techniques nor at the bottom surfaces of both applied techniques. CONCLUSION: Different packing techniques did not influence the microhardness of Tetric EvoCeram Bulk Fill composite. &nbsp

    The quality of life and cost utility of home nocturnal and conventional in-center hemodialysis

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    The quality of life and cost utility of home nocturnal and conventional in-center hemodialysis.BackgroundHome nocturnal hemodialysis is an intensive form of hemodialysis, where patients perform their treatments at home for about 7hours approximately 6 nights a week. Compared with in-center conventional hemodialysis, home nocturnal hemodialysis has been shown to improve physiologic parameters and reduce health care costs; however, the effects on quality of life and cost utility are less clear. We hypothesized that individuals performing home nocturnal hemodialysis would have a higher quality of life and superior cost utility than in-center hemodialysis patients.MethodsHome nocturnal hemodialysis patients and a demographically similar group of in-center hemodialysis patients from a hospital without a home hemodialysis program underwent computer-assisted interviews to assess their utility score for current health by the standard gamble method.ResultsNineteen in-center hemodialysis and 24 home nocturnal hemodialysis patients were interviewed. Mean annual costs for home nocturnal hemodialysis were about 10,000lowerforhomenocturnalhemodialysis(10,000 lower for home nocturnal hemodialysis (55,139 ±7651forhomenocturnalhemodialysisvs.7651 for home nocturnal hemodialysis vs. 66,367 ±17,502forincenterhemodialysis,P=0.03).Homenocturnalhemodialysiswasassociatedwithahigherutilityscorethanincenterhemodialysis(0.77±0.23vs.0.53±0.35,P=0.03).Thecostutilityforhomenocturnalhemodialysiswas17,502 for in-center hemodialysis, P = 0.03). Home nocturnal hemodialysis was associated with a higher utility score than in-center hemodialysis (0.77 ± 0.23 vs. 0.53 ± 0.35, P = 0.03). The cost utility for home nocturnal hemodialysis was 71,443/quality-adjusted life-year (QALY), while for in-center hemodialysis it was 125,845/QALY.Homenocturnalhemodialysiswasthedominantstrategy,withanincrementalcosteffectivenessratio(ICER)of125,845/QALY. Home nocturnal hemodialysis was the dominant strategy, with an incremental cost-effectiveness ratio (ICER) of -45,932. The 95% CI for the ICER, and 2500 bootstrap iterations of the ICER all fell below the cost-effectiveness ceiling of 50,000.Thenetmonetarybenefitofhomenocturnalhemodialysisrangedfrom50,000. The net monetary benefit of home nocturnal hemodialysis ranged from 11,227 to $35,669.ConclusionHome nocturnal hemodialysis is associated with a higher quality of life and a superior cost utility when compared to in-center hemodialysis

    Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring

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    Understanding human behavior and monitoring mental health are essential to maintaining the community and society's safety. As there has been an increase in mental health problems during the COVID-19 pandemic due to uncontrolled mental health, early detection of mental issues is crucial. Nowadays, the usage of Intelligent Virtual Personal Assistants (IVA) has increased worldwide. Individuals use their voices to control these devices to fulfill requests and acquire different services. This paper proposes a novel deep learning model based on the gated recurrent neural network and convolution neural network to understand human emotion from speech to improve their IVA services and monitor their mental health.Comment: 6 pages, 5 figures, 3 tables, accepted in the IEEE WFIoT202
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