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In this chapter, the relationship between terrorism and military expenditure and between terrorism and foreign capital inflow has been studied empirically with Indian data. We considered an index for terrorism based on the number of terrorism incidents, the number of deaths and the number of injuries. Data are collected from the period of 1977–1978 to 2016–2017 on the incidence of terrorism, obtained from the data released by Government of India in July 2016. Augmented Dicky–Fuller (ADF) test is used for unit root and stationarity checks. Johansen co-integration test is performed for testing the presence of co-integrating relationship between Index of terrorism and military expenditure and also between FDI flow and index of terrorism. As a result, a co-integrating relationship is also found between terrorism and military expenditure but not between terrorism and foreign capital inflow. Vector error correction model (VECM) is used to study both the short-run and the long-run relationships between the variables.

The purpose of this paper was to explore the possibility of utilization of Ocimum sanctum Linn (Tulsi) leaf extract as a natural preservative in muscle foods. The products incorporated with Ocimum sanctum leaf extract were assessed for various oxidative stability and storage quality parameters.

The Ocimum sanctum leaf extract was incorporated at 300 mg/kg level in the formulation. Chicken sausages incorporated with Ocimum sanctum leaf extract along with control samples were aerobically packaged in low-density polyethylene pouches and assessed for lipid oxidation, physicochemical, microbiological and sensory characteristics under refrigerated (4 ± 1°C) conditions.

Ocimum sanctum leaf extract showed a significant (p < 0.05) effect on the lipid stability, as the treated products exhibited significantly (p < 0.05) lower thiobarbituric acid reactive substances (mg malonaldehyde/kg) and free fatty acid (% oleic acid) values in comparison to control. A significant (p < 0.05) effect was also observed on the microbiological characteristics of the products, as the treated products showed significantly (p < 0.05) lower values for total plate count, psychrophilic count and yeast and mould count. Significantly, (p < 0.05) higher scores were also observed for various sensory parameters of the treated products.

The paper has demonstrated the use of Ocimum sanctum leaf extract as a potential natural preservative, as it successfully improved the oxidative stability and storage quality of the products during refrigerated (4 ± 1°C) storage and may be commercially exploited as a natural preservative in muscle foods.

This paper aims to investigate the thermal performance of equivalent square and circular thermal systems and compare the heat transport and irreversibility of magnetohydrodynamic (MHD) nanofluid flow within these systems.

The research uses a constraint-based approach to analyze the impact of geometric shapes on heat transfer and irreversibility. Two equivalent systems, a square cavity and a circular cavity, are examined, considering identical heating/cooling lengths and fluid flow volume. The analysis includes parameters such as magnetic field strength, nanoparticle concentration and accompanying irreversibility.

This study reveals that circular geometry outperforms square geometry in terms of heat flow, fluid flow and heat transfer. The equivalent circular thermal system is more efficient, with heat transfer enhancements of approximately 17.7%. The corresponding irreversibility production rate is also higher, which is up to 17.6%. The total irreversibility production increases with Ra and decreases with a rise in Ha. However, the effect of magnetic field orientation (γ) on total EG is minor.

Further research can explore additional geometric shapes, orientations and boundary conditions to expand the understanding of thermal performance in different configurations. Experimental validation can also complement the numerical analysis presented in this study.

This research introduces a constraint-based approach for evaluating heat transport and irreversibility in MHD nanofluid flow within square and circular thermal systems. The comparison of equivalent geometries and the consideration of constraint-based analysis contribute to the originality and value of this work. The findings provide insights for designing optimal thermal systems and advancing MHD nanofluid flow control mechanisms, offering potential for improved efficiency in various applications.

Automation of detecting cracked surfaces on buildings or in any industrially manufactured products is emerging nowadays. Detection of the cracked surface is a challenging task for inspectors. Image-based automatic inspection of cracks can be very effective when compared to human eye inspection. With the advancement in deep learning techniques, by utilizing these methods the authors can create automation of work in a particular sector of various industries.

In this study, an upgraded convolutional neural network-based crack detection method has been proposed. The dataset consists of 3,886 images which include cracked and non-cracked images. Further, these data have been split into training and validation data. To inspect the cracks more accurately, data augmentation was performed on the dataset, and regularization techniques have been utilized to reduce the overfitting problems. In this work, VGG19, Xception and Inception V3, along with Resnet50 V2 CNN architectures to train the data.

A comparison between the trained models has been performed and from the obtained results, Xception performs better than other algorithms with 99.54% test accuracy. The results show detecting cracked regions and firm non-cracked regions is very efficient by the Xception algorithm.

The proposed method can be way better back to an automatic inspection of cracks in buildings with different design patterns such as decorated historical monuments.

The purpose of this paper is to present the thermal comfort properties of single jersey knitted fabric structures made from bamboo, tencel and bamboo-tencel blended yarns.

Bamboo, tencel fibre and blends of the two fibres were spun into yarns of identical linear density (30s Ne). Each of the blended yarns so produced was converted to single jersey knitted fabrics with loose, medium and tight structures.

An increase in tencel fibre in the fabric had led to a reduction in fabric thickness and GSM. Air permeability and water-vapour permeability also increased with increase in tencel fibre content. The anticipated increase in air permeability and relative water vapour permeability with increase in stitch length was observed. The thermal conductivity of the fabrics was generally found to increase with increase in the proportion of bamboo.

It is clear from the foregoing that, although a considerable amount of work has been done on bamboo blends and their properties, still there are many gaps existing in the literature, in particular, on thermal comfort, moisture management and spreading characteristics. Thus the manuscript addresses these issues and provides valuable information on the comfort characteristics of the blended fabrics for the first time. In the evolution of this manuscript, it became apparent that a considerable amount of work was needed to fill up the gaps existing in the literature and hence this work which deals with an investigation of the blend yarn properties and comfort properties of knitted fabrics was taken up.

This research work is focused on the thermal comfort parameters of knitted fabrics made from 100 per cent tencel yarn, 100 per cent bamboo yarn and tencel/bamboo blended yarns of different blend ratios.

The purpose of this paper is to explore the synergic effect of wild turmeric (Curcuma Aromatica Salisb.) and holy basil (Ocimum Tenuiflorum L.) combination herbal extracts treatment on the moisture management properties of cotton, lyocell and micro-denier single jersey knitted fabrics and the factors affecting it, which is intended for the development of healthcare apparel products.

The pre-treated single jersey knitted fabrics of cotton, lyocell and micro-denier polyester fabrics were given finishing treatment with the wild turmeric (Curcuma Aromatica Salisb.) and holy basil (Ocimum Tenuiflorum L.) combination herbal extract proportions of 100%:0%, 75%:25%,50%:50%; 25%:75% and 0%:100%. The D-optimal factorial design developed using Design Expert software was used for the study. The finishing treatments were carried out using the pad−dry−cure method. The aim of the work is to find out the influence of combination herbal extract proportion, textile material and their interaction effect on the moisture management properties.

The ANOVA results revealed that the overall moisture management properties of single jersey knitted fabrics are influenced by the material type, combination herbal extract proportion and the interaction between material type and the combination herbal extracts proportion. The overall moisture management properties of combination herbal extracts treated cotton single jersey fabrics are found to be better than that of lyocell and micro-denier polyester fabrics due to their excellent accumulative one-way transport capability after the finishing treatment. Among the combination herbal extract proportions, 50:50 per cent combination herbal extract proportion was found to be better than other proportions.

The study on the moisture management properties of combination herbal extracts of wild turmeric (Curcuma Aromatica Salisb.) and holy basil (Ocimum Tenuiflorum L.) is a novel attempt to explore the synergic effect of active constituents in both the herbs.

Fabrics’ thermal properties greatly influence human comfort during wear. For this reason, fabrics with optimum thermal properties need to be developed. This paper aims to investigate the effect of weft yarn twist levels on thermal and surface properties of 100 per cent cotton woven fabrics.

Five types of plain woven cotton fabrics were manufactured using weft yarns with 900, 905, 910, 915 and 920 twists/meter (Tpm). The other parameters of the samples as count, thread density and fabric structures were kept constant. Fabric thermal properties were evaluated by measuring its thermal conductivity, thermal resistance, actual insulation, water permeability, air permeability and wicking ability. The fabric compression and surface properties were also evaluated because they contribute to the overall clothing comfort.

The results showed that actual insulation and thermal resistance property decreased with an increase in twists/meter of the weft yarn. However, thermal conductivity does not significantly change while fabric compression reduced with an increase in twist as the surface roughness increased.

Comfort is a fundamental requirement in human daily existence, and it is greatly influenced by clothing, which comes in close contact with the human skin. Fabrics’ thermal properties greatly influence human comfort during wear. For this reason, fabrics with optimum thermal properties need to be developed.