No abstract

Introduction: Guar gum is a non-ionic polysaccharide extracted from the endosperm of Cyamopsistetragonalobus. Guar gum and its derivatives are water-soluble hydrophilic polysaccharides, and hydrophobic modification is required to increase its compatibility in a polymer matrix. Objectives: The present study investigates the synthesis of allyl-modified guar gum (AGG) and epoxy resin composites. The mechanical properties of the prepared composites with varying concentrations of filler (allyl guar gum) in the range of 0.5-4.5 wt% have been evaluated. The mechanical and structural properties of the prepared composites have been investigated using Universal Testing Machine (UTM) and Scanning Electron Microscope (SEM), respectively. Methods: The epoxy composites were prepared by casting technique using allyl guar gum as the filler. The polymer-filler interactions varied with the contents of the filler. Results: The tensile strength was found to be enhanced up to 13% at 0.5% concentration of AGG. The % elongation at break values followed an opposite trend as compared to the tensile strength data of the composites. The observed mechanical properties have been correlated with the fracture morphology of the composites. Conclusion: A better dispersion, that is, polymer-filler interactions, improved the tensile strength of composites, while poor interactions declined the tensile strength. It is reported that max tensile strength can be obtained at 0.5% concentration of allyl guar gum (AGG1). The maximum increase in % elongation at break was 25% for AGG2-based epoxy composite at 3% of filler concentration.

For the healthcare framework, automatic recognition of patients’ emotions is considered to be a good facilitator. Feedback about the status of patients and satisfaction levels can be provided automatically to the stakeholders of the healthcare industry. Multimodal sentiment analysis of human is considered as the attractive and hot topic of research in artificial intelligence (AI) and is the much finer classification issue which differs from other classification issues. In cognitive science, as emotional processing procedure has inspired more, the abilities of both binary and multi-classification tasks are enhanced by splitting complex issues to simpler ones which can be handled more easily. This article proposes an automated audio-visual emotional recognition model for a healthcare industry. The model uses Deep Residual Adaptive Neural Network (DeepResANNet) for feature extraction where the scores are computed based on the differences between feature and class values of adjacent instances. Based on the output of feature extraction, positive and negative sub-nets are trained separately by the fusion module thereby improving accuracy. The proposed method is extensively evaluated using eNTERFACE’05, BAUM-2 and MOSI databases by comparing with three standard methods in terms of various parameters. As a result, DeepResANNet method achieves 97.9% of accuracy, 51.5% of RMSE, 42.5% of RAE and 44.9%of MAE in 78.9sec for eNTERFACE’05 dataset.  For BAUM-2 dataset, this model achieves 94.5% of accuracy, 46.9% of RMSE, 42.9%of RAE and 30.2% MAE in 78.9 sec. By utilizing MOSI dataset, this model achieves 82.9% of accuracy, 51.2% of RMSE, 40.1% of RAE and 37.6% of MAE in 69.2sec. By analysing all these three databases, eNTERFACE’05 is best in terms of accuracy achieving 97.9%. BAUM-2 is best in terms of error rate as it achieved 30.2 % of MAE and 46.9% of RMSE. Finally MOSI is best in terms of RAE and minimal response time by achieving 40.1% of RAE in 69.2 sec.

- Iron compounds are utilized as colorants in many skincare industry for both the epidermis, hair, and nails. Iron plays a key role as a metals in water in the actual functioning and properly functioning metamorphosis of both the skin, as well as skin and nail general wellbeing, according to the evidence. Through furthermore to becoming more a valuable protein for reactive oxygen and membrane potential, iron plays a key role as either a contaminant in the actual functioning and fully functioning metamorphosis of the skin, as well as skin and nail health. Commercially, iron compounds are used in monomers, linens, and aesthetics, where the colour range and simplicity of use of diverse metallic ions salts are favoured. Iron oxides are being used as colours to face powdered, lips, and other aesthetics, and come in a variety of colours ranging as black to brown to red and yellow. These effects that iron from aesthetic sources on the nutrition of human skin are discussed. The present study focuses on the morphological and biochemical importance of iron during skin regulation and damage repair processes under normal conditions. It talks at length as to how the appearance of the skin, clothing, and nails might signal certain things. Excesses or shortages in iron, but it also highlights many areas of iron physiology where further study is needed.

This chapter examines a variety of milkprocessing methods that are either new or emerging. Thermal therapies have traditionally been used in the dairy sector since they are effective in inactivating bacteria as well as enzymes. Several of these heat treatments, however, cause significant chemical changes in the food, leading to variations not only in the sensory aspects of the meal, but also in its nutritional content. Due to these constraints, the dairy sector is looking for new ways to enhance existing products and create new ones which are high-quality as well as consistent. The bulk of these cutting-edge technologies aren't brand new; they've been tried and proven in the food industry for decades. Their resurgence has lately been fueled by technological and scientific advancements, as well as consumer desires for minimally processed meals. The authors have tried to gather the most researched technologies that are alternatives to traditional thermal treatments in this chapter. The following subjects are covered: general issues, impacts on microbes and enzymes, as well as chemical and sensory changes. Despite the large number of studies that have been completed, additional study is required to confirm the efficacy of these technologies and, as a result, to find serious alternatives to conventional therapies.