715 research outputs found
Synthesis of Al and Ag nanoparticles through ultra-sonic dissociation of thermal evaporation deposited thin films for promising clinical applications as polymer nanocomposite
Nanoparticles (NPs) having well-defined shape, size and clean surface serve as ideal model system to investigate surface/interfacial reactions. Ag and Al NPs are receiving great interest due to their wide applications in bio-medical field, aerospace and space technology as combustible additives in propellants and hydrogen generation. Hence, in this study, we have synthesized Ag and Al NPs using an innovative approach of ultra-sonic dissociation of thin films. Phase and particle size distributions of the Ag and Al NPs have been determined by X-ray diffraction (XRD) and transmission electron microscopy (TEM). Thin film dissociation/dissolution mechanism, hence conversion into NPs has been characterized by SEM- scanning electron microscope. EDXA & ICPMS have been performed for chemical analysis of NPs. Optical properties have been characterized by UV-Vis and PL spectroscopy. These NPs have also been investigated for their anti-bacterial activity against Escherichia coli bacteria. To the best of our knowledge, this is the first time when NPs has been synthesized by ultra-sonic dissociation of thin films. As an application, these NPs were used further for synthesis of nanocomposite polymer membranes, which show excellent activity against bio film formation
Impact Of Curing Temperature On The Strength Of Lime Preserve Fly Ash
Fly Ash in India is about 112 million tones with 65000 acre of land being occupied.In recent times the usage of fly ash as one of the dominant construction material. To enhance and improve the properties of fly-ash by stabilizing with lime. In this work aimedto evaluation of the impact of lime as stabilizing material to the fly ash. The geo-engineering properties of fly ash alongfly ash with different proportion of lime were conducted. Following tests light and heavy compaction test, unconfined compressive strength test, permeability test and CBR tests were studied for fly-ash sample. The stabilized fly-ash was done by adding lime with varying (2%, 4%, 8% & 10%) percentages. The UCS samples were cured for 7, 14, and 28 Days with different temperatures of 10o, 27o, and 50o. The potential and efficiency of adding disposed fly ash from Mae Moh Electric Power Plant, Thailand, into cement-admixed clay were studied by means of a series of UC and physical tests (Jongpradist et al. 2010). An experimental study was conducted to investigate the long-term performance of fly ash stabilized two fine-grained soil sub-bases (Shafique et al. 2009). A number of researches on study of using fly ash in the field of geotechnical engineering has been reported, such as the preserve of soil in compaction works of highway embankment or slope without cement or lime (Edil et al.2006; Kim et al. 2005; Prabakar et al. 2004) with cement (Kaniraj and Havanagi 1999) and with cement and fiber reinforcement (Kaniraj and Havanagi 2001). Numerous studies on application of fly ash as bulk fill material are also available (Raymond 1958; DiGioia and Nuzzo 1972; Gray and Lin 1972; Joshi et al. 1975) which demonstrated the possibility of utilizing huge amount of fly ash in the construction of embankments, dykes, and road subgrades. A wide range of soils can be stabilized using fly ash (Chu et al. 1955; Geocker et al. 1956; Viskochil et al. 1957; Ghosh et al. 1973; Vasquez and Alonso 1981; Lo and Wardani 2002). Other uses of fly ash are land reclamation (Kim and Chun 1994), and injection grouting (Joshi et al. 1981). Ghosh et al. (2005) demonstrated the use of fly ash as foundation medium reinforced with jute-geotextiles. Undrained shear strength parameters of fly ash were reported by Raymond (1961)
Importance Of Retard In Excess Of Fundamental Period Of RC Define Premises
The movement of the earth during an earthquake does not cause damage to the building by external influences or forces. However, it damages the building by building deep forces within a large building shaker. . It identifies the Earth’s behaviour and behavioral patterns, signal design provides a spectrum response. The appropriate spectrum response describes the peak response structure as a function of the normal vibration period. It is therefore necessary to study the resistance period of nature to understand the home response. The behavior of multi-storey framed buildings during seismic forceful operations is expected on the distribution of large, hard and strong in the layout and aircraft components of the building. In multi-storey buildings, damage from seismic soil activity usually begins at the site of weak foundations of lateral load-resistance surfaces. In some cases, these weaknesses may result from discontinuity of hardening, stiffness, or overcrowding between adjacent floors. The recurrence period of the houses has been found to be always less than the period of the same common houses. The basic period of construction of a building without the complexity of the back depends not only on the height of the building but also on the width of the bay, faults, and other structural and engineering models. It is not necessary to estimate the time frame of the building based on the height only specified in the code design
Optimal Round Robin CPU Scheduling Algorithm Using Manhattan Distance
In Round Robin Scheduling the time quantum is fixed and then processes are scheduled such that no process get CPU time more than one time quantum in one go. The performance of Round robin CPU scheduling algorithm is entirely dependent on the time quantum selected. If time quantum is too large, the response time of the processes is too much which may not be tolerated in interactive environment. If time quantum is too small, it causes unnecessarily frequent context switch leading to more overheads resulting in less throughput. In this paper a method using Manhattan distance has been proposed that decides a quantum value. The computation of the time quantum value is done by the distance or difference between the highest burst time and lowest burst time. The experimental analysis also shows that this algorithm performs better than RR algorithm and by reducing number of context switches, reducing average waiting time and also the average turna round time
Intrusion Detection Recording System with Biometric Lock
The spread of COVID-19 in the entire world has put humankind in danger. The assets of probably the biggest economies are worried because of the enormous infectivity and contagiousness of this illness. The ability of machine learning algorithms to predict the number of possible COVID-19 patients is generally seen as a potential challenge to mankind. The undermining components of COVID-19 were determined using four normal estimating models: Support Vector Machine (SVM), least total shrinkage, and determination administrator (LASSO), linear regression (LR). Any one of the models makes three types of predictions, such as the number of newly infected occurrences, the number of passings, and the rate of recoveries, but they cannot predict the exact result for the patients. To defeat the issue, the Proposed strategy utilizing exponential smoothing (ES) The number of cases of COVID-19 and the impact of COVID-19 preventive steps including certain social insulation and latch on infectious diseases was expected in the next 30 days to come
Smart Polymers in Drug Delivery Applications
Acknowledgements:
The authors sincerely acknowledge the financial supports of the UGC, New Delhi under UPE-FARI Program [F.No. 14-3/2012 (NS/PE)] and the DST, New Delhi under DST-PURSE-Phase-II Program [F.No. SR/PURSE Phase 2/13(G)]. Furthermore, this research was supported by the European Regional Development Fund (FEDER), through COMPETE2020 under the PT2020 program (POCI-01-0145-FEDER-023423), and by the Portuguese Foundation for Science and Technology (UID/Multi/04044/2013) and PAMI (ROTEIRO/0328/2013; NÂş 022158).The most important components of living cells such as carbohydrates, proteins and nucleic acids are the polymeric molecules. Nature utilizes polymers both as constructive elements and as a part of the complicated cell machinery of living things. The rapid advancement in biomedical research has led to many creative applications for biocompatible polymers. With the development of newer and more potent drugs, a parallel expansion in more sophisticated drug delivery systems becomes mandatory. Smart polymeric drug delivery systems can respond to environmental changes and consequently, alter their properties reversibly enabling an efficient and safe drug delivery. This review comprehensively discusses various aspects of these polymers
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