A series of novel superporous hydrogels for regenerative medicine were prepared by oil-in-water (o/w) or inverse high internal phase emulsion (i-HIPE) copolymerization of glycerol monomethacrylate ...(GMMA), 2-hydroxy ethyl methacrylate (HEMA) and glycerol dimethacrylate (GDMA) as a cross-linker using a non toxic solvent and a redox initiator system at the physiological temperature (37 °C). The monomer GMMA was synthesized from glycidyl methacrylate (GMA) by an alternative facile method using Amberlyst-15. The described i-HIPEs showed a significantly wider stability window. The polyHIPE hydrogels were characterized by FTIR, BET method for surface area, mercury porosimetry, SEM, DSC, TGA, XRD, compressive strain and strain recovery. The swelling ratio of the hydrogels and their degradation in 0.007 M NaOH and lipase B (
Candida antarctica
) solutions were determined gravimetrically and the rate of degradation was explained in terms of the molecular structure of the hydrogels. The morphological studies showed that the pore diameter varied between 20 and 30 μm and the pore throats (interconnecting windows) diameter was in the range of 4-8 μm. The described polyHIPE hydrogels were found to have an open cell morphology and interconnected pore architecture, which are important characteristics for scaffold applications. The initial cytotoxicity study performed according to ISO-10993-5 indicated cytocompatibility (97% cell viability) and the subsequent cell seeding and proliferation study exhibited 55-88% cell viability (increased monotonously from GHG-1 to GHG-5), which could be attributed to modulation of the physical and chemical properties of the hydrogels. The described super porous hydrogels are considered as potential candidates for scaffold materials in tissue engineering applications.
Synthesis of superporous hydrogels as tissue engineering scaffolds
via
inverse high internal phase emulsion (i-HIPE) polymerization.
The usage of internet is growing enormously increasing in this modern-day world. Voting is being used widely in democracy in every aspect of decision making. The technology has been developed to an ...extend where voting has taken the adaption of digital age from ballet system to EVM's to e-voting. In this modern era, Estonia and Norwegian have upgraded their voting system by using electronic voting. But the major drawbacks of these e-voting system are that these systems are centralized, which enables the attackers to access confidential information of voters using DDOS attacks. To tackle this problem, we are introducing the new technology i.e. Blockchain technology which is a decentralized system, it is a P2P network where there is no interference of any organization which is more secure and transparent. We are suggesting an innovative e-voting setup that integrates Blockchain and Proof of History (PoH) on user-friendly platforms like Solana and Hyperledger. Emphasizing decentralization, PoH facilitates the secure and efficient processing of votes, allowing for increased participation. With this forward-looking approach, our goal is to enhance e-voting systems, making them more robust, transparent, and efficient in the contemporary digital landscape.
Machine vision applications are commonly utilised in manufacturing lines as low cost, high precision measuring devices. Output facilities can accomplish high production numbers without mistakes ...thanks to these solutions that offer contactless control and measurement. A camera may be used to carry out machine vision tasks including product counting., error checking., and dimension measuring. This study makes a recommendation for a vision system application that can do inanimate object item enumeration. The recommended solution uses Otsu thresholding., Hough transformations., edge detection methods., and other image processing algorithms to accomplish automatic counting without taking into account the kind or colour of the product. The system primarily uses one camera. The general idea is to get image with balanced contrast., brightness and appropriate HSV values in it. A picture of the items being captured using camera using android device., and different image processing techniques are then applied to the picture. Further., a real-time machine vision programme was deployed and took photos taken from an actual experimental setup. The practical experiments conducted have shown that the suggested technique yields quick., precise., and trustworthy results based on the comparative study of various detection techniques.
Diabetic Retinopathy (DR) is an eye abnormality caused due to diabetes. As the sickness progresses it results in distortion and blurred vision. The diagnosing of the DR image needs sure-handed ...clinicians to spot the presence of vital options that makes this a tough and time-intensive task The proposed methodology relies on R-CNN (Regional Convolutional Neural Network) approach to diagnose DR from digital anatomical structure pictures. In the proposed approach the total image is segmental and the regions of interest are taken for further processing. The proposed method uses four layers of convolution neural network to train a hundred and thirty anatomical structures and tested on one hundred images. All the images are classified into two classes, images having DR and images not having DR. This R-CNN (Regional CNN) approach was found to be economical in terms of speed and accuracy.
Preserving environment in farming is now becoming main concern since use of inputs like fertilizers & pesticides has been widely employed. Site–specific application of agricultural chemicals is an ...effective way of resource saving and environmental protection. Precise farming implementation is now gaining popularity and widely accepted as one of smart solutions to sustain agriculture production without ignoring environment. This paper isbased on results of map analysis, where map of soil can be developed based on (1) soil type (chemical composition of soil) (2) soil colour and texture (3) topography (high ground, low ground) (4) crop yield.As per results of chemical analysis, system is developed for controlling opening of outlet of valve for delivery of proper chemical composition (i.e., fertilizer) in same soil by controlling D.C.motor. Through this system, it is possible to improve agricultural production without ignoring environment, 1
In this paper a new method for contrast enhancement based on the discrete cosine transform is discussed and implemented. The technique converts the image into DCT domain and the DCT coefficients are ...modified using proposed mask then the enhanced image is reconstructed using inverse DCT. The discrete cosine transform outperforms with better image quality and with highest PSNR value.
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