TO STUDY THE EFFECT OF HUMAN HAIR MIXED WITH TYRE WASTE (RUBBER) ON PROPERTIES OF CONCRETE

Hair reinforced concrete mixed with rubber offers a practical and economical method for overcoming micro-cracks and similar type of deficiencies. Fibres are usually used in concrete to control plastic shrinkage and dry shrinkage cracking and also to lower the permeability of concrete. This is an attempt to find the possibilities of using hair as fibre reinforcement in concrete, thereby forming an alternative way for the safe management of hair waste. Present studies has been undertaken to study the effect of human hair mixed  compressive, crushing, flexural strength and cracking control to economise concrete and to reduce environmental problem. In the experiment we have added human hair fibres to the concrete mixed with Rubber and studied the strength properties of concrete with the variation in Rubber content. i.e., to study the properties of concrete (M40 Grade ) for fibre content of 1.5% and rubber content of 3%, 6%, 9%, 12% at 7 days, 14 days, 28days.  For each combination of proportions of concrete one beam and three cubes are tested for their mechanical properties. By testing of cubes and beams we found that there is an increment in the various properties and strength of concrete by the addition of human hair as fibre reinforcement and partial replacement of rubber as coarse aggregate. For the experiment, we have casted 45 cubes, 15 beams and 15 cylinders respectively

Criminal Identification Based on Androgenic Hair Pattern Using KNN-Clustering Method

This paper is implemented in order to identify the criminals in forensics based on the androgenic hair pattern of the criminal particularly in Low-resolution images. The Proposed paper is more dependable than the existing forensic techniques to identify criminals. The paper is implemented in five stages; in the first stage the input images and the database images are obtained after which the database images are trained through the algorithm to get the trained images. In the second stage pre-processing of the images is done in order to convert the image to grey scale and remove noise using thresholding method. The Third stage the image is passed through a Gabor filter to detect the edges in the image, this is followed by the Fourth phase where KNN clustering method is used to obtain the region of interest followed by the application of the bilateral filter in order to enhance the image. In the final stage the indifferent value calculated from the input image is matched with all the indifferent values of the trained images to identify the criminal

Traditional knowledge-based agricultural practices in Tribal dominated District Anuppur, Madhya Pradesh

Traditional knowledge is the backbone of the agricultural system of any country. These traditional knowledge-based agricultural practices were phased out and replaced with modern agricultural practices. However, in the present scenario, these time tested traditional practices again have made a comeback due to their ability to sustain and overcome the obstacles posed by anthropogenic activities, land degradation, excessive and rampant usage of fertilizers, insecticides and pesticides, etc. In spite of this traditional knowledge has been confined to some secluded areas in particular among the indigenous, tribal, forest-dwelling communities. The present study has been aimed to document the Traditional knowledge-based agricultural practices in Tribal dominated District Anuppur, Madhya Pradesh. More than thirty agricultural practices have been documented during our study which has revealed the potential of this area which can be a model for natural, organic, sustainable farming, paving the way toward resilient agricultural systems

Pea Seed Proteins: A Nutritional and Nutraceutical Update

Grain legumes are well known as staple sources of soluble protein worldwide. Pea is essentially the most quickly growing crop for immediate human consumption and has the potential for higher effect as being a protein supply for foods processing apps. Pea seeds are an essential source of plant-based proteins. The better acceptance of pea protein-rich food is due to pea manifold attributes, excellent functional qualities, high vitamin value, accessibility, and comparatively small cost. Pea proteins are not merely nutritional amino acids but are an indispensable source of bioactive peptides that offer health benefits. This chapter focuses on the present information of isolation methods, extraction, and of seed proteins in pea. Overall, we believe that analogous research and advancement on pea proteins would be required for further more substantial increase in pea protein utilization is envisaged

Somatski i metabolički antigeni te imunodominantni proteini larvi Cysticercus cellulosae

The present study shows the characterization of four somatic antigens (Whole Cyst Antigen (WCA), Cystic Fluid Antigen (CFA), Scolex Antigen (SA) and Membrane-Body Antigen (MBA)) and one metabolic antigen (Excretory-Secretory Antigen (ESA)) prepared from Cysticercus cellulosae originated from a naturally infected pig. Immunodominat proteins were determined using hyper immune rabbit sera. The Sodium Dodecyl Sulphate- Polyacrylamide Gel Electrophoresis (SDS-PAGE) profile of the antigens revealed different numbers and patterns of protein bands in the range of 11.80 to 176.74 kDa. The electrophoretic pattern of ESA also revealed a number of closely placed indistinct bands in the range of 20-34 kDa.. The proteins in the lower molecular weight range (< 30 kDa) in the case of WCA, CFA, ESA, and the medium molecular weight range (30-60 kDa) in the case of SA and MBA were observed to be immunodominant in the Enzyme-Linked Immunoelectrotransfer Blot (EITB) assay. These immunodominant proteins could be further investigated as potential diagnostic antigens in the serodiagnosis of cysticercosis in pigs, and neurocysticercosis in human patients.U istraživanju je provedena karakterizacija četiriju somatskih antigena (Whole Cyst Antigen - WCA, Cystic Fluid Antigen - CFA, Scolex Antigen - SA i Membrane Body – MBA), te jednog metaboličkog antigena (ekskrecijsko sekrecijski antigen - ESA), pripravljenih od larvi Cysticercus cellulosae, koje potječu od prirodno zaražene svinje. Imunodominantni proteini određivani su upotrebom hiperimunosnog seruma kunića. Profil antigena, određen elektroforezom u natrijevu dodecilsulfatnom poliakrilamidnom gelu (SDS-PAGE), pokazao je različite brojeve i uzorke proteinskih traka u rasponu od 11,80 do 176,74 kDa. Eleketroforetski uzorak ESA također je pokazao niz usko smještenih i nejasnih traka u rasponu od 20 do 34 kDa. Testom EITB (Enzyme-Linked Immunoelectrotransfer Blot), u slučaju WCA-a, CFA-a, ESA-e ustanovljeno je da su imunodominantni proteini manje molekularne mase (< 30 kDa), a u slučaju SA-a i MBA-a imunodominantni su proteini bili srednje molekularne mase (30 – 60 kDa). Ovi se imunodominantni proteini mogu dalje istraživati kao potencijalni dijagnostički antigeni u serološkoj dijagnostici cisticerkoze u svinja i neurocisticerkoze u ljudi

Evaluation of wound healing potential of methanolic Azadirachtaindica leaves extract in normal and diabetic rats

The present study was undertaken to evaluate the effect of Azadirachta indica leaves extract on wound healing activity in normal and streptozotocin-induced diabetic rats. Methanolic extract ointment was applied on excised wounds in healthy non diabetic and streptozotocin induced diabetic rats. This exhibited significant increase in mean percentage wound contraction and tensile strength in excision and dead Space wound models respectively, in both normal and diabetic rats when compared with control. The extract promoted wound contraction, reduced the wound closure time and induced proliferation of fibroblast as well as angiogenesis and re-epithelialization. Keywords: Wound Healing, Azadirachta indica, Tensile strength, wound contractio

Two echelon inventory models with the market price, advertisement, and discount sensitive demand in the non-co-operative environment

In supply chain management manufacturers and retailers are the two most important nodes. Some decision variables are decided by the manufacturer and some are decided by the retailer to maximize their profits. In this work, market demand is considered sensitive to market price, advertising, and discount given by the manufacturer to the retailer. In this work, EOQ and advertising will be decided by the retailer and a discount will be given by the manufacturer to the retailer to motivate the retailer to generate more market demand. Manufacturers' and retailers' profit models are developed in the non-co-operative environment. Models are verified using dummy data, and sensitivity analysis is performed for all the decision variables for both manufacture and retailer Stackelberg models