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Medical textiles is a vibrant emerging field in the area of technical textiles and its category is based on its performance and biofunctional properties for hygienic and health care products. Biodegradable fabrics are widely used for medical textiles in recent years. Seaweeds provide a wide range of therapeutic possibilities for human beings both internally and externally due to the presence of bioactive compounds. The paper aims to discuss these issues.

This present study investigates the development of bioactive gauze fabric from Chaetomorpha linum seaweed/cotton blended fibres and also analysed the characteristics of Chaetomorpha linum seaweed/cotton blended gauze fabric and 100 per cent cotton gauze fabric. The effect of fibres on physical properties of fabric such as tensile strength, air permeability, wickability, water drop test and colour fastness properties were analysed. The antibacterial properties and antioxidant activity were assessed by DPPH radical scavenging, AATCC 100 and EN ISO 20645 test methods.

The experimental results indicate that the maximum antioxidant activity of 103.28±1.23 per cent inhibition was achieved at minimum concentration (500 µg/ml) of the blended fabric extract, and maximum antibacterial reduction of 95 per cent and zone of inhibition of about 26 mm were achieved in a blended fabric. The tensile strength, percentage of elongation and air permeability were more or less the same in both gauze fabrics. It is also found that Chaetomorpha linum seaweed/cotton blended gauze fabric exhibit better wickability and water absorbency properties than 100 per cent cotton gauze fabric. The colour fastness properties to washing and rubbing showed excellent results in the blended gauze fabric, and it is used for making wound dressing materials.

This bioactive gauze fabric was used for non-implantable materials such as wound healing, face mask, surgical gowns and hygienic textiles in recent years.

This study aims to examine the corrosion and flexural behaviour of advanced hybrid aluminium matrix nanocomposites (HAMNCs) made with a vacuum-assisted stir die casting (two-layer feeding) and reinforced with titanium oxide (TiO₂) and yttrium oxide (Y₂O₃) nanoparticles. The previous researchers have shown that TiO₂ and Y₂O₃ nanoparticles make aluminium composites much more resistant to corrosion and wear.

Salt spray corrosion tests were done on the samples over time as well as the pre-and post-corrosion morphology of the test samples was also investigated. The density, porosity and energy dispersive X-ray of the fabricated samples were observed.

It was observed that a lower corrosion rate of 0.127 mils/year and 0.573 mils/year was seen in the Al/5 Wt.%TiO₂/5 Wt.%Y₂O₃ (HAMNC1) and Al/7.5 Wt.%TiO₂/2.5 Wt.%Y₂O₃ (HAMNC3), respectively. It was evident from the results that the pores and densities of the samples varied with the filler concentrations and matrix filler wettability. HAMNC1 has the lowest values of density and porosity at 2.568 g/cm³ and 9.91%, respectively. At the same time, a significant improvement in the flexural strength of 72 N/mm² was also seen in the HAMNC1 configuration.

The proposed hybrid samples are well suited for aerospace and automobile structural components such as brake drums, discs, engine cylinders and fins.

The mixed influence evaluation of TiO₂ and Y₂O₃ nanoparticles with pure Al on composite samples has not been studied. This research aims to examine the combined influence of nanoparticles on the corrosion aspects of two-step feeding vacuum stir casted products, as well as their morphology.

Despite the susceptibility of cotton crops to pest attacks in the Malwa Region of Indian Punjab, no crop insurance policy has been implemented there– not even the Pradhan Mantri Fasal Bima Yojana (PMFBY), which is a central scheme. Therefore, this paper attempts to gauge the likely impact of the PMFBY on Punjab cotton farmers and assess the changes needed for greater uptake and effectiveness of PMFBY.

The authors have conducted a primary survey to conduct this study. Initially, the authors compared the costs of cotton production with the returns in two scenarios (with and without insurance). Additionally, the authors have applied a logistic regression framework to examine the determinants of the willingness of farmers to participate in the crop insurance market.

The study finds that net returns of cotton crops are conventionally small and insufficient to cope with damages from crop failure. Yet, PMFBY will require some modifications in the premium rate and the level of indemnity for its greater uptake among Punjab cotton farmers. Additionally, using the logistic regression framework, the authors find that an increase in awareness about crop insurance and farmers' perceptions about their crop failure in the near future reduces the willingness of the farmers to participate in the crop insurance markets.

The present study looks for the viability of PMFBY in Indian Punjab for the cotton crop, which can also be extended to other crops.

Punjab could also use crop insurance to encourage diversification in agriculture. There is a need for special packages for diversified crops under any crop insurance policy. Crops susceptible to volatility due to climate-related factors should be identified and provided with a special insurance package.

There exist very scant studies that have discussed the viability of a central crop insurance scheme in the agricultural-rich state of India, i.e. Punjab. Moreover, they do not also focus on crop losses accruing due to pest and insect attacks.

This case describes the challenges faced by Amul in organising dairy farmers into a co-operative and creating continuous opportunities for value addition. Participants in the case discussion are required to review the developments in the organisation and recommend a strategy for the future.

This study aims to evaluate the quality characteristics of low-fat functional carabeef cookies incorporated with different levels of guar gum.

Meat cookies were incorporated with 0.5, 1.0 and 1.5 per cent guar gum powder to replace 20, 30 and 40 per cent hydrogenated vegetable fat, respectively. The formulation of low-fat carabeef cookies was maintained by addition of water.

There was a significant difference (p < 0.02) between control and treatments for all physico-chemical properties, except pH and thickness. The cooking yield increased significantly (p < 0.04) at 1.5 per cent level of guar gum. Moisture, protein and ash percentage increased significantly (p < 0.02) while there was significant (p < 0.00) reduction in fat percentage. The diameter and spread ratio of cookies decreased significantly (p < 0.03) with incorporation of guar gum. The sensory scores were not significantly affected with respect to color and appearance, flavor, texture, crispiness, aftertaste and overall acceptability at 1.5 per cent level. There was no significant difference in hardness and adhesiveness values, as well as color parameters.

The experiment can be further carried out to evaluate complete product profile and storage stability of product under different packaging conditions.

Fat imparts richness and tenderness, improving flavor and mouth feel to processed meat products, but higher fat consumption may lead to various life style diseases. Reducing fat content with fat replacers in meat cookies without affecting the sensory characteristics may be a significant challenge. Guar gum powder may be an excellent option at 1.5 per cent level to replace 40 per cent of hydrogenated vegetable fat without compromising quality attributes.

The aim of the paper is to present a preliminary study for the design of a new functional food by the incorporation of a collection of ingredients which are all based on an inexpensive by‐product of the food industries: apple pomace. The new product design was considered as a novel gelled dessert formulation which is functional, and totally nature‐based. In fact, the article reviews various raw materials obtainable from the source of apple pomace and gradually supports the hypothesis of such product design.

The current study was designed on the structural basis of paying attention to apple pomace as a byproduct and idea generation for product design, reviewing several ingredients based on apple pomace (available data from the literature) and discussing the suitability of such ingredients for a new functional product. Exclusive attention was made for the development of an apple‐pomace‐based gelled dessert targeting consumers on restricted diets such as diabetics and obese individuals. In these kinds of diets consumption of caloric sweeteners should be abandoned or decreased while increasing the amounts of dietary fibers and polyphenolic compounds can be health‐beneficial.

As an appropriate preliminary formula, amidated low methylester pectins were selected as gelling agents. High methylester pectins, phloridzin and quercetin were used as functional ingredients. Arabinose and fructose were considered as sweetening agents. Also, POPj (phloridzin oxidation product), which is a recently developed natural pigment, was offered as a colouring agent and citric acid for adjusting the pH. Apple specific flavours were also suggested to improve the consumer acceptance of the product. In each case, the evidences of functionalities considered for the target consumers (diabetics and obese individuals) were also discussed.

This fresh formula is novel and can attract both food industry and the consumers because of its natural and functional properties.

The purpose of this paper is to examine the potential of biogas in India for energy conservation and its potential in emission reduction through proper manure management and utilizing the tappable droppings while replacing the conventional and non-conventional fuel.

The authors have looked at the production, use and tappability of animal excreta for possible biogas generation and reduction in fuelwood consumption on one hand and emission reduction across the Indian states on the other. The average percentage of Biogas potential is created in the GIS database for analyzing the data set in the spatial domain using ArcGIS 9.2 software.

The paper examines that unused manure contributes to the greenhouse gas (GHG) and has huge potential of reducing the emission through proper utilization across the Indian states. Keeping current climate change dilemma in view this could be one of the feasible options to cope with the climate change and mitigating the threats.

A comprehensive data regarding methane emission from various sources is not readily available so far. With the help of this research work the authentic data has been collected from different government departments’ data banks and past research work. However, the authors have limited to few conversion aspects in quantifying the emission factor due to complexity of the various data sets.

Looking at the availability of usable animal excreta in different climatic regions, the attempt has been made in demarcating economically viable and technically feasible areas for biogas generation in India. An environmental and economic cost benefit analysis for adopting this renewable energy source has also been incorporated within this research.

The paper examined the GHG contribution of unused manure and the possibility of reducing it through proper utilization. The adverse environmental consequences of the use of conventional and non-conventional cooking fuels have also been analyzed in terms of GHG emissions. The same was assessed for the whole lifecycle of liquefied petroleum gas, which is commonly assumed as a clean fuel.

The purpose of this paper is to assess the bioactive ingredients of whole flours of oat, maize and soyabean, utilise them for developing functional cookies and evaluate their physical and nutritional quality parameters.

Cookies were prepared from blends of whole flours of wheat, oats, maize and full fat soyabean. Whole wheat and oat flours were blend in different proportions (100:0, 80:20, 60:40, 40:60 and 20:80 and 0:100, wheat:oat, w/w) and supplemented with quality protein maize (QPM) and full fat soyabean flours, at 10 per cent (w/w) each, of the total blend. Cookies were studied for their physical attributes, proximate and nutritional compositions. A significant (p=0.05) increase in spread ratio, crude protein, crude fat and crude fibre contents of the cookies was observed with increase in the proportion of oat flour in the blend.

Cookies prepared from blend containing QPM and soyabean flours had higher antioxidant activity than control whole wheat cookies. An increase in extractable β-glucan content and in-vitro protein digestibility was also observed with the increase in the proportion of oat flour. The highest overall acceptability was observed for cookies prepared from blends having a wheat–oat proportion of 60:40. These cookies also had a 17.5 per cent higher genistein content as compared to their raw flour blend. Higher genistein levels were observed in the composite cookies.

The cookies prepared from composite whole flours rich in isoflavones and β-glucan reflect their potential as a new functional food for the prevention and management of diseases such as cancers, diabetes and cardiovascular disorders.

The purpose of this study is to estimate carbon mitigation impacts of project activities in a community forestry project in Andhra Pradesh, India. Measurement and quantification of carbon stocks, monitoring of these stocks over time and projections using models is necessary for assessing the climate change mitigation potential or impacts of all forest development and conservation projects.

In this study, multiple mitigation assessment methods and models were used to estimate the carbon mitigation impacts – PROCOMAP, TARAM and CATIE, by adopting a three-tier approach similar to Intergovernmental Panel on Climate Change (IPCC) Guidelines.

There are differences in mitigation potential estimates across models as well as across tiers. The study highlights the strength and weaknesses and/or limitations and advantages of adopting the different approaches and their applicability for estimating mitigation potential of a forestry project. The same could be adopted for a future Reducing Emissions from Deforestation and Forest Degradation (REDD) regime also, given countries may not have the necessary technical capacity and data needed during the post-2012 REDD scheme. While countries with advanced data, technical and research capabilities could use models or, in other words, adopt the Tier-3 approach, countries with data and technical limitations, as in India, could adopt a Tier-2 or Tier-1 approach to begin with.

The limitations and advantages of use of the multiple mitigation models is addressed.

This work would help understand use of three mitigation models by prospective students and researchers and also the data needs and limitations for use of these models.

Association rule mining generates the patterns and correlations from the database, which requires large scanning time, and the cost of computation associated with the generation of the rules is quite high. On the other hand, the candidate rules generated using the traditional association rules mining face a huge challenge in terms of time and space, and the process is lengthy. In order to tackle the issues of the existing methods and to render the privacy rules, the paper proposes the grid-based privacy association rule mining.

The primary intention of the research is to design and develop a distributed elephant herding optimization (EHO) for grid-based privacy association rule mining from the database. The proposed method of rule generation is processed as two steps: in the first step, the rules are generated using apriori algorithm, which is the effective association rule mining algorithm. In general, the extraction of the association rules from the input database is based on confidence and support that is replaced with new terms, such as probability-based confidence and holo-entropy. Thus, in the proposed model, the extraction of the association rules is based on probability-based confidence and holo-entropy. In the second step, the generated rules are given to the grid-based privacy rule mining, which produces privacy-dependent rules based on a novel optimization algorithm and grid-based fitness. The novel optimization algorithm is developed by integrating the distributed concept in EHO algorithm.

The experimentation of the method using the databases taken from the Frequent Itemset Mining Dataset Repository to prove the effectiveness of the distributed grid-based privacy association rule mining includes the retail, chess, T10I4D100K and T40I10D100K databases. The proposed method outperformed the existing methods through offering a higher degree of privacy and utility, and moreover, it is noted that the distributed nature of the association rule mining facilitates the parallel processing and generates the privacy rules without much computational burden. The rate of hiding capacity, the rate of information preservation and rate of the false rules generated for the proposed method are found to be 0.4468, 0.4488 and 0.0654, respectively, which is better compared with the existing rule mining methods.

Data mining is performed in a distributed manner through the grids that subdivide the input data, and the rules are framed using the apriori-based association mining, which is the modification of the standard apriori with the holo-entropy and probability-based confidence replacing the support and confidence in the standard apriori algorithm. The mined rules do not assure the privacy, and hence, the grid-based privacy rules are employed that utilize the adaptive elephant herding optimization (AEHO) for generating the privacy rules. The AEHO inherits the adaptive nature in the standard EHO, which renders the global optimal solution.