3D Modeling of a surface acoustic wave based sensor
To develop a 3D computational model of a Surface Acoustic Wave based sensor in order to understand the SAW wave propagation characteristics built with enhanced sensitivity. A Surface Acoustic Wave (SAW) is an acoustic wave propagating along the surface of a solid material. SAW’s are featured in many kinds of electronic components including filters, oscillators, sensors, etc. SAW devices typically use electrodes on a piezoelectric material to convert an electrical signal to a SAW and back again. In this model we investigate the resonance frequencies of a SAW gas sensor, which consists of an Inter Digitated Transducer (IDT) etched onto a piezoelectric LiNbO3 (Lithium Niobate) substrate and covered with a thin Poly Isobutylene (PIB) film. The mass of the PIB film increases as PIB selectivity adsorbs CH2Cl2 (Dichrolomethane, DCM) in the air. This causes a shift in resonance to a slightly lower frequency.
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A Brief Report on Scale Independent Quantum Cosmology
In this paper an attempt is made to highlight and strengthen the inherent role of quantum gravity in cosmology. At any time, the product of cosmic ‘critical density’ and ‘critical Hubble volume’ can be called as the ‘critical mass’ of the evolving universe. By considering the Planck mass as the critical mass connected with big bang, Planck scale critical mass density and Hubble constant can be defined. Proceeding further, it can be suggested that, during evolution, cosmic thermal energy density may be directly proportional to critical mass-energy density. Observed redshift can be reinterpreted as a cosmological light emission phenomenon connected with cosmologically reinforcing hydrogen atom. To understand the ground reality of cosmic rate of expansion, accuracy of the current methods of estimating the magnitudes of current Hubble’s constant and current CMBR temperature must be improved.
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A Comparative Study of the Performance of Semi-Parametric and Parametric Survival Analysis Models in Assessing the Prognostic Factors of HIV/AIDS Mortality
Survival analysis as a field of statistics has had a remarkable growth in the latter half of the last century. The methods used by survival analysis that have led to this insightful impact are the Kaplan-Meier method used in estimating the survival function, the log-rank test commonly used to determine the differences between two or more survival distributions and the Cox Proportional Hazard model used for investigating the effects of covariates on the hazard function. The parametric methods are rarely used. In this work, we present the basic concepts of survival analysis. Furthermore, we compare the semi-parametric (Cox Proportional Hazard) and parametric methods for analysing survival data. We apply these methods to HIV/AIDS infected patients from secondary data to determine the prognostic factors of the event of mortality of the patients. It was found that the parametric method of survival analysis is good and probably preferred if the correct distribution is identified; and that drug abuse history of patients, tuberculosis status, patients’ adherence to drugs and the patients’ CD4 cell counts are prognostic factors for mortality experience of HIV/AIDS patients.
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A novel technique to implement LMS adaptive fir filter algorithm using labview
In this paper, a novel technique to improve the performance of the LMS method is implemented. As noise is characterized in the low frequency region, the volume of the passive absorbers used increases. Hence, we go in for active methods of suppression. Conventional noise controllers are adaptive filters with the parameters updated mainly on the least mean square basis. It is shown how the least-mean squares algorithm (LMS) can be implemented by using the graphical language LabVIEW. The LMS algorithm under pins the vast majority of current signal processing adaptive algorithm including noise cancellation, beamforming, deconvolution, equalization and so on. It will be shown that labVIEW is a convenient and powerful method of implementing such algorithms.
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A Review: Extracts and Fibres from Herbal Plant for Upper Respiratory Tract Infection (URTI)
Colds are characterized as minor infections instigated by over 200 distinct viral strains. Rhinovirus is the most common cause for the flu which leads to congestion or stuffy nose. Medical wipes offer prompt symptom alleviation, best employed at the onset of cold symptoms for temporary relief. People with thyroid issue or high blood pressure should not take decongestants, the wipes help them to get rid from congestion or stuffy nose. The development of medical wipes for cold relief is a significant advancement in medicine and healthcare. A natural fiber extracted from the plant which is known for its various medicinal properties like antimicrobial, anti-inflammatory, antioxidant, antipyretic, insecticidal, analgesic, cytotoxicity, and hepatoprotective, purgative. These fibers are strong, lightweight, and highly absorbent, making them ideal for medical textile wipes. The wipes are designed to be used as a cold relief treatment and are infused with extract like eucalyptus globulus, chrysopogon zizanioides (vetiver), vitex negundo (nochi), coleusamboinicus (karpooravalli), ocimum tenuiflorum (Tulsi), Mentha spicata (pudina) to provide anti-inflammatory and antiseptic effects. These herbs have natural properties that can help relieve cold and flu symptoms. To extract the herbs, we can use various methods such as steam distillation, solvent extraction, or cold pressing. Once herbal extract is extracted, you can add it to the wipes to provide relief from cold and flu symptoms. This wipes are also designed to be biodegradable and compostable, making them more eco-friendly. The development of medical textile wipes with natural fiber is a promising advancement in medicine and healthcare which can be also used by children and can provide cold relief with minimal environmental impact.
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A study in naturally occurring organic compound of Guaiacol by ab initio DFT calculations, Molecular structure, chemical shielding anisotropy and other molecular parameters
The FT-Raman and FT-Infrared spectra of Guaiacol have been recorded in the regions 3500?100 cm?1 and 4000?500 cm?1 respectively. The observed frequencies were assigned to various modes of vibrations on the basis of normal coordinate calculations, assuming C1 point group symmetry. The assignment of fundamental vibrations agrees well with the calculated frequencies. Second order perturbation energies and electron density (ED) transfer from filled lone pairs of Lewis base to unfilled Lewis acid sites of Guaiacol are discussed on the basis of NBO analysis. The theoretically calculated harmonic frequencies are scaled by common scale factor. The observed and the calculated frequencies are found to be in good agreement. The thermodynamic functions were obtained for the range of temperature 100–1000 K. The polarizability, first hyperpolarizability, anisotropy polarizability invariant has been computed using quantum chemical calculations. The chemical parameters were calculated from the HOMO and LUMO values. The NMR chemical shielding anisotropy (CSA) parameters were also computed for the title molecule.
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A Survey Factors of social alienation among students of Islamic Azad University of Shoushtar 2012
Human life in society is a function of several factors and its quality among various styles is thinking worthy. Definitely student life in Iran has said it has its own style. Separation from family and join them together with the stresses of student life style is one of their alienation. This study aimed to investigate the effect of social self-alienation among students of Islamic Azad University branch of Shoushtar with the survey method done in 2012. The results were analyzed using SPSS. The results of the present study also shows a significant relationship between the variables of social distance with social institutions, the media, socio - economic, parental age, gender and level of self-discipline and social alienation.
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A three-stage heuristic combined Hopfield neural network for channel assignment problem in cellular mobile system
A three-stage algorithm of combining sequential heuristic methods into a Hopfield neural network is presented for the channel assignment problem in cellular mobile communication systems in this paper. The goal of this problem is to find a channel assignment to requested calls with the minimum number of channels subject to interference constraints between channels. The three-stage algorithm consists of: 1) the regular interval assignment stage; 2) the greedy assignment stage; and 3) the neural-network assignment stage. In the first stage, the calls in a cell determining the lower bound on the total number of channels are assigned channels at regular intervals. In the second stage, the calls in a cell with the largest degree and its adjacent cells are assigned channels by a greedy heuristic method. In the third stage, the calls in the remaining cells are assigned channels by a Hopfield neural network. The performance is verified through solving well-known benchmark problems. Especially for Sivarajan’s benchmark problems, my three-stage algorithm first achieves the lower bound solutions in all of the 12 instances.
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Accumulation and Translocation of Heavy Metals in Soil and Amaranthus Cruentus
A biogeochemical field study was carried out in the outskirts of Mumbai, where agricultural soils were contaminated by potentially toxic elements. Amaranthus cruentus is an important part of the diet in the state of Maharashtra and thus it was selected as a test plant. Environmental pollution is one of the severe problems that are faced by Mumbai and agriculture is also affected due to it. Analysis of lead and cadmium, two of the most hazardous heavy metals was done from the soil samples and its accumulation patterns in the test plant were studied. Lead and cadmium analysis was done using ICP-AAS to determine if these vegetable samples are fit for human consumption
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An alternative work options for organizational commitment
The alternative work options play an important role in the public organizations in the macro level. These alternative work options of job sharing and job rotation for organization outcome of organizational commitment have been neglected in the human resource studies. As a result, it holds great promise for benefiting organization over time in term of returns. In this paper, we presented and discussed a conceptual framework intended to capture the current domain of new work structures that can be adaptable into public organizations. The proposed framework could guide future researchers to better understand and integrate the alternative work options into organizational work structures.
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