Design,fabrication and characterization of silk fibroin-HPMC-PEG blended films as vehicle for transmucosal delivery

This study illustrates the fabrication of stable mucoadhesive films of silk protein fibroin as potential vehicle for transmucosal delivery by blending fibroin with hydroxy propyl methyl cellulose (HPMC) and poly ethylene glycol 400 (PEG). Investigations on mechanical properties, swelling ability in simulated saliva, bioadhesive strength by a specially designed instrument and study of in vitro stability in simulated saliva of goat buccal mucosa as model membrane was undertaken. Molecular interaction between blended materials was evaluated by FTIR spectroscopy. Increase in fibroin content of the blended films not only increased the mechanical properties and water stability but also the degree of swelling and stability of the films in simulated saliva. The FTIR spectrum shows an increase in water stability of the fibroin-HPMC blended films due to the formation of intermolecular hydrogen bonding between the HPMC and fibroin. The conformational transition of the silk fibroin molecule from the amorphous and random coil to β sheet structure has been observed. Fibroin-HPMC-PEG blended films can be used as a vehicle for transmucosal delivery by virtue of its good mechanical strength, water stability, ex vivo bioadhesive strength and ideal swellability as such characteristics are essential for rapid mucoadhesion.     

Effect of growth temperature on the CVD grown Fe filled multi-walled carbon nanotubes using a modified photoresist

Fe filled carbon nanotubes were synthesized by atmospheric pressure chemical vapor deposition using a simple mixture of iron(III) acetylacetonate (Fe(acac)₃) with a conventional photoresist and the effect of growth temperature (550-950 °C) on Fe filled nanotubes has been studied. Scanning electron microscopy results show that, as the growth temperature increases from 550 to 950 °C, the average diameter of the nanotubes increases while their number density decreases. High resolution transmission electron microscopy along with energy dispersive X-ray investigation shows that the nanotubes have a multi-walled structure with partial Fe filling for all growth temperatures. The graphitic nature of the nanotubes was observed via X-ray diffraction pattern. Raman analysis demonstrates that the degree of graphitization of the carbon nanotubes depends upon the growth temperature.     

Mulberry non-engineered silk gland protein vis-à-vis silk cocoon protein engineered by silkworms as biomaterial matrices

Silk fibroin from silk gland of Bombyx mori 5th instar larvae was utilized to fabricate films, which may find possible applications as two-dimensional matrices for tissue engineering. Bombyx mori cocoon fibroin is well characterized as potential biomaterial by virtue of its good mechanical strength, water stability, thermal properties, surface roughness and biocompatibility. The present study aims to characterize the biophysical, thermal, mechanical, rheological, swelling properties along with spectroscopic analysis, surface morphology and biocompatibility of the silk gland fibroin films compared with cocoon fibroin. Fibroin solutions showed increased turbidity and shear thinning at higher concentration. The films after methanol treatment swelled moderately and were less hydrophilic compared to the untreated. The spectroscopic analysis of the films illustrated the presence of various amide peaks and conformational transition from random coil to beta sheet on methanol treatment. X-ray diffraction studies also confirmed the secondary structure. Thermogravimetric analysis showed distinct weight loss of the films. The films were mechanically stronger and AFM studies showed surfaces were rougher on methanol treatment. The matrices were biocompatible and supported L929 mouse fibroblast cell growth and proliferation. The results substantiate the silk gland fibroin films as potential biomaterial matrices.     

Multi-robot multi-target dynamic path planning using artificial bee colony and evolutionary programming in unknown environment

Navigation or path planning is the basic need for movement of robots. Navigation consists of two foremost concerns, target tracking and hindrance avoidance. Hindrance avoidance is the way to accomplish the task without clashing with intermediate hindrances. In this paper, an evolutionary scheme to solve the multi-agent, multi-target navigation problem in an unknown dynamic environment is proposed. The strategy is a combination of modified artificial bee colony for neighborhood search planner and evolutionary programming to smoothen the resulting intermediate feasible path. The proposed strategy has been tested against navigation performances on a collection of benchmark maps for A* algorithm, particle swarm optimization with clustering-based distribution factor, genetic algorithm and rapidly-exploring random trees for path planning. Navigation effectiveness has been measured by smoothness of feasible paths, path length, number of nodes traversed and algorithm execution time. Results show that the proposed method gives good results in comparison to others.     

A Study on Corrosion Resistance and Mechanical Performance of 6061 Aluminium Alloy: Galvanized Mild Steel Electron Beam Welds at Varying Welding Parameters

Transactions of the Indian Institute of Metals - Dissimilar welds of steel and aluminium alloys have an inherent problem of the vast difference in solid solubility which questions their integrity....     

Influence of annealing temperature on the structural,topographical and optical properties of sol–gel derived ZnO thin films

This investigation deals with the effect of annealing temperature on the structural, topographical and optical properties of Zinc Oxide thin films prepared by sol–gel method. The structural properties were studied using X-ray diffraction and the recorded patterns indicated that all the films had a preferred orientation along (002) plane and the crystallinity along with the grain size were augmented with annealing temperature. The topographical modification of the films due to heat treatment was probed by atomic force microscopy which revealed that annealing roughened the surface of the film. The optical properties were examined by a UV–visible spectrophotometer which exhibited that maximum transmittance reached nearly 90% and it diminished with increasing annealing temperature.     

Lithographically defined site-selective growth of Fe filled multi-walled carbon nanotubes using a modified photoresist

Partially Fe filled multi-walled carbon nanotubes (MWCNTs) were grown by chemical vapor deposition with propane at 850 °C using a simple mixture of iron (III) acetylacetonate (Fe(acac)₃) powder and conventional photoresist. Scanning electron microscopy revealed that catalytic nanoparticles with an average diameter of 70 nm are formed on the Si substrate which governs the diameter of the MWCNTs. Transmission electron microscopy shows that the nanotubes have a multi-walled structure with partial Fe filling. A site-selective growth of partially Fe filled MWCNTs is achieved by a simple photolithographic route.     

Markov Chain Based Roaming Schemes for Honeypots

The paper proposes a reactive roaming scheme for honeypots. The main aim of a honeypot is to capture the activities of the attacker. If the attacker detects honeypot on a system, its value drops. So, the concept of roaming honeypots is being proposed, to prevent the attacker from detecting the honeypot, which in turn increases the efficiency of honeypot and allows collecting rich data about activities of active attackers. The honeypot is shifted to another system which is most probable to be attacked within the network. The concept of Markov chain analysis is being used to detect the most probable system to be attacked based on the current status of the network. Further, using IP shuffling and services on/off concepts, honeypots roam on the network to the most probable system to be attacked using the threat score. Snort is used to capture data about the number of attacks on each of the nodes of the network and the data collected is then used as an input for Markov chain analysis to identify the most probable system where honeypot can be roamed/moved. The roaming scheme has been implemented for both high interaction honeypots and low interaction honeypots. The high interaction implementation helps in capturing in depth information on a shorter range of IP addresses, whereas the low interaction implementation is efficient in capturing information on a large range of IP addresses. The main advantage of this approach is that it predicts the frequency of attacks on the nodes of a particular network and takes a reactive step by starting the honeypot services on that particular node/system on the network.