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The purpose of this paper is to understand the effect of airflow dynamics on vortices for different flow rates using the human nose three-dimensional model.

Olfaction originates with air particles travelling from an external environment to the upper segment of the human nose. This phenomenon is generally understood by using the nasal airflow dynamics, which enhances the olfaction by creating the vortices in the human nose. An anatomical three-dimensional model of the human nasal cavity from computed tomography (CT) scan images using the MIMICS software (Materialise, USA) was developed in this study. Grid independence test was performed through volume flow rate, pressure drop from nostrils and septum and average velocity near the nasal valve region using a four computational mesh model. Computational fluid dynamics (CFD) was used to examine the flow pattern and influence of airflow dynamics on vortices in the nasal cavity. Numerical simulations were conducted for the flow rates of 7.5, 10, 15 and 20 L/min using numerical finite volume methods.

At coronal cross-sections, dissimilar nasal airflow patterns were observed for 7.5, 10, 15 and 20 L/min rate of fluid flow in the human nasal cavity. Vortices that are found at the boundaries with minimum velocity creates deceleration zone in the nose vestibule region, which is accompanied by flow segregation. Maximum vortices were observed in the nasal valve region and the posterior end of the turbinate region, which involves mixing and recirculation and is responsible for enhancing the smelling process.

The proposed analysis is applicable to design the sensor chamber for electronic noses.

In this paper, the influence of airflow dynamics on vortices in the human nasal cavity is discussed through numerical simulations.

The purpose of this paper is to prepare and optimize the preparation conditions of some new hydrogels and in addition, evaluate their water absorbance at different mediums and their ability to remove ions from aqueous solutions.

Cellulose was extracted from depithed bagasse at two different pulping conditions; 3 and 6 hours cooking times, pulp (I) and (II), respectively. These pulps, in addition to cotton linter for comparison, were grafted with acrylamide followed by cross‐linking with glutaraldehyde. The networks were partially hydrolyzed and the structures of products (before and after hydrolysis) were studied using FTIR, SEM, TGA and X‐ray. The optimum preparation conditions were identified, before and after hydrolysis, to achieve maximum absorbance and the ability of prepared hydrogels to remove ions from solutions was investigated.

Maximum level of absorption was recorded using hydrogels prepared with monomer concentration =0.8 mol/l, cross‐linker concentration =0.01 mol/l, reaction time =2 hours and temperature =65°C. Hydrogels prepared using pulp (I) showed the best absorbance behavior and a tendency to remove ions from water.

The ability of the prepared gels to remove ions from water could be further investigated to evaluate the ability of their use in a multi‐filtration system for water treatment.

This piece of work has suggested a simple way to convert an agricultural waste to hydrogel able to remove metal ions from water.

Consuming this type of waste reduces the risks resulting from its burning in some countries, such as Egypt, that produce large amounts of it.

In this paper, low cost hydrogels, with expected value in water treatment, were prepared using agricultural wastes. They have shown better reactivity than gels prepared using pure cellulosic materials (cotton linter).

The purpose of this paper is to improve the performance of E-nose in the detection of wound infection. Feature extraction and selection methods have a strong impact on the performance of pattern classification of electronic nose (E-nose). A new hybrid feature matrix construction method and multi-objective binary quantum-behaved particle swarm optimization (BQPSO) have been proposed for feature extraction and selection of sensor array.

A hybrid feature matrix constructed by maximum value and wavelet coefficients is proposed to realize feature extraction. Multi-objective BQPSO whose fitness function contains classification accuracy and a number of selected sensors is used for feature selection. Quantum-behaved particle swarm optimization (QPSO) is used for synchronization optimization of selected features and parameter of classifier. Radical basis function (RBF) network is used for classification.

E-nose obtains the highest classification accuracy when the maximum value and db 5 wavelet coefficients are extracted as the hybrid features and only six sensors are selected for classification. All results make it clear that the proposed method is an ideal feature extraction and selection method of E-nose in the detection of wound infection.

The innovative concept improves the performance of E-nose in wound monitoring, and is beneficial for realizing the clinical application of E-nose.

This paper aims to present the methods of improving selectivity and sensitivity of resistance gas sensors.

This paper compares various methods of improving gas sensing by temperature modulation, UV irradiation or fluctuation-enhanced sensing. The authors analyze low-frequency resistance fluctuations in commercial Taguchi gas sensors and the recently developed tungsten trioxide (WO₃) gas-sensing layers, exhibiting a photo-catalytic effect.

The efficiency of using low-frequency fluctuations to improve gas detection selectivity and sensitivity was confirmed by numerous experimental studies in commercial and prototype gas sensors.

A more advanced measurement setup is required to record noise data but it will reduce the number of gas sensors necessary for identifying the investigated gas mixtures.

Fluctuation-enhanced sensing can reduce the energy consumption of gas detection systems and assures better detection results.

A thorough comparison of various gas sensing methods in resistance gas sensors is presented and supported by exemplary practical applications.

Part A – to identify the challenges of inducting and nurturing next-gen leaders, to outline the building blocks for the successful induction of the next generation into the family business and to spell the importance of mentoring conversations as a tool for successful induction in the family business. Part B – to define the basic tenets of effective communication-goal setting, planning and action using the goals, plans and action framework, to build a “listening” environment through understanding the hearing, understanding, remembering, interpreting, evaluating, and responding mode and to relate the importance of “questioning” in diagnosing a problem and reading both verbal and non-verbal cues in communication.

The two-part case describes the role of communication amongst young family business scions and a mentor’s role in shaping such communication. Part A traces the induction of Aditya Gandhi, a fourth-generation scion of Gandhi Gems and Jewels, a 110-year old Indian family business dealing in precious gems and jewels. It deals with the challenges of mentoring and successful induction of the next-generation into family business Part B of the case describes the communication between Aditya Gandhi and the proprietor of Gandhi Gems and Jewels’ key client, Ghanshyam Das. It deals with the tenets of effective communication as should be understood by young next-generation family members.

The case can be used in an executive programme for owners of family businesses or in an undergraduate or post-graduate programme in general business administration or family business management.

Teaching Notes are available for educators only.

CSS 11: Strategy.

In particular, this paper aims to systematically analyze a few prominent wireless sensor network (WSN) clustering routing protocols and compare these different approaches according to the taxonomy and several significant metrics.

In this paper, the authors have summarized recent research results on data routing in sensor networks and classified the approaches into four main categories, namely, data-centric, hierarchical, location-based and quality of service (QoS)-aware, and the authors have discussed the effect of node placement strategies on the operation and performance of WSNs.

Performance-controlled planned networks, where placement and routing must be intertwined and everything from delays to throughput to energy requirements is well-defined and relevant, is an interesting subject of current and future research. Real-time, deadline guarantees and their relationship with routing, mac-layer, duty-cycles and other protocol stack issues are interesting issues that would benefit from further research.

The purpose of this paper is to examine the market integration and direction of causality of wholesale and retail prices for the chickpea legume in major chickpea markets in India.

In this paper, the authors employ the Johansen co-integration test, Granger causality test, vector autoregression (VAR), and vector error correction model (VECM) to examine the integration of markets. The authors use monthly wholesale and retail price data of the chickpea crop from select markets in India spanning January 2003–December 2020.

The results of this study strongly confirm the co-integration and interdependency of the selected chickpea markets in India. However, the speed of adjustment of prices in the wholesale market is weakest in Bikaner, followed by Daryapur and Narsinghpur; it is relatively moderate in Gulbarga. In contrast, the speed of adjustment is negative for Bhopal and Delhi, weak for Nasik, and moderate for retail market prices in Bangalore. The results of the causality test show that the Narsinghpur, Daryapur, and Gulbarga markets are the most influential, with bidirectional relations in the case of wholesale market prices. Meanwhile, the Bangalore market is the most connected and effective retail market among the selected retail markets. It has bidirectional price transmission with two other markets, i.e. Bhopal and Nasik.

This paper calls for forthcoming studies to investigate the impact of external and internal factors, such as market infrastructure; government policy regarding self-reliant production; product physical characteristics; and rate of utilization indicating market integration. They should also focus on strengthening information technology for the regular flow of market information to help farmers increase their incomes.

Very few studies have explored market efficiency and direction of causality using both linear and nonlinear techniques for wholesale and retail prices of chickpea in India.

Water soluble vehicles based on unsaturated fatty acids and oils have been prepared which have gloss and are air‐drying. Resin blends have also been prepared to improve certain characteristics. Comparison of the prepared compositions regarding their evaluation as a paint vehicle has also been taken into consideration.

In this article we shall argue that the Keynesian revolution was a revolution in the sense of Kuhn and that Kuhn's conceptual framework provides a better understanding of the convulsive changes that took place in macro‐economics in the twenties and thirties than alternative growth of knowledge theories that are being discussed in the economics literature at the present time. In the last ten years or so economists have become increasingly interested in the various growth of knowledge theories that have been developed by philosophers of science such as Kuhn, Popper, Lakatos and others. This heightened interest on the part of economists is to be explained by the fact that these new theories are based on the actual behaviour of scientists. The new philosophers of science devote their attention not to “correct scientific method” but to the actual behaviour of scientists. It is because of this revolution in the historiography of science that economists have been able to relate these new theories to their own work and to the development of economic theories in the past.

In low-income economies agriculture plays an important role in promoting economic growth and reducing poverty. Agricultural growth achieved through diversification toward the higher value crops enhance income and mitigate risk. The present study focuses on one of the eastern Indian states namely “Jharkhand”; where agriculture is the mainstay for the 80% of its rural population. The state per-capita income is below the national average; however, it has registered an impressive growth, especially in the agriculture sector in the last one decade. In this study, the authors attempt to identify the components in sources of agricultural growth; the authors also estimate the determinants of overall agricultural growth.

The study is based on the secondary data from 2000–2001 to 2015–2016. This paper first decomposes the agricultural growth into area, price, yields (technological improvement) and diversification effects through the method of growth accounting approach. Secondly, the study employs the new classical growth model through the ordinary least square (OLS) to examine the determinants of overall agricultural growth.

The author's findings indicate that there has been a shift in cropping patterns from the cultivation of cereals to non-cereals in the state during the study period. Among the major crops, the area under pulses cultivation has increased by 19% from 2000–t2002 to 2014–2016. The increase in area under cultivation and the diversification in favor of higher-value crops have been the major reasons for the accelerating overall agricultural growth in the state along with improvements in technology. The study reveals that increased use of fertilizer per hectare, capital formation and road density are the main determinants of high agricultural growth in the state.

The study is based on secondary data and based on one state. A primary study to complement this could have been better. The limited data available for some of important variables related to mechanizations are also a limitation of the present study.

Several studies have analyzed the diversification and agricultural growth in India. With our best knowledge this kind of study has not been done so far for the state of Jharkhand in eastern India.