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Customer satisfaction is the consumers display in searching for, purchasing, using, evaluating and disposing of products and services that they expect will satisfy their needs and wants. In India, packet milk is preferred for its hygiene, quality, readily available and so on. It is available in reasonable quantity for the consumers at any time wherever it is needed. Moreover, it is sterilized at a required temperature so that the quality is assured to the potential consumer for ensuring customer satisfaction in the market. In this research study the researcher focuses on a sample of hundred consumers is taken and customer satisfaction towards packaged milk is analyzed through primary data.

Information Communication and Technology (ICT) integration has influenced various fields and it has brought various changes. This article examines; How ICT has influenced the Teaching-Learning Process (TLP) in engineering education? In the midst of the pandemic situation caused by the Covid–19 virus, the usage of ICT tools helps in continuing the engineering education from home online. However, there exist a few difficulties like teacher’s adaptability, availability of tools, and content delivery. This paper identifies the integration of ICT in delivering the content of programming branches, circuital, and non-circuital engineering subjects. This survey article emphasizes the usage of various ICT tools used in teaching descriptive, analytical, and laboratory-based subjects through online mode in an efficient way. Also, a comprehensive survey is conducted among teachers and students as well; the responses are analyzed in attaining the Program Outcomes (PO). The results of attaining the PO before and after the online mode of education using ICT tools are compared and the significant features are elaborately discussed. This helps the faculty members of engineering education to get an overview of the pros and cons of using ICT tools.

One of the sparkling stars in the galaxy of Indian writers, Gita Mehta is the brightest. Her novels are written with Indian perspectives and they are explorations of the tension generated by the east-west encounters. Her novel A River Sutra is a colourful fictional account of India that mirrors Indian history and culture. It connects Indian mythology with various depictions of love in its many aspects. It told through a pen-pusher and his encounter with six pilgrims on the banks of the Narmada. In Western Feminist studies, the woman is always portrayed with a quest for freedom from the urban exploitative society to nature. It is appealing to determine that this concept receives a new dimension in a different cultural context. In this novel, Mehta has shifted her focus from the interactions between India and the west to exploring the diversity of cultures within India. Gita Mehta uses the Narmada as the thread, which holds together the main story and the six sub-stories. The present paper discusses in detail the theory of eco-criticism and it aims at highlighting an understanding of various terms like green studies and nature studies, as well as describes in fair detail, the different subfields of eco-criticism, namely, Cultural ecology, Eco-feminism and Gyno-Ecology.

Plate like cadmium sulfide (CdS) quantum dots were prepared by using β-cyclodextrin as reductant. Photoluminescence and uv-visible diffused reflectance spectroscopic techniques are used to investigate the optical property of CdS. The blue shifted emission of CdS at 469nm than the bulk particle is observed. The calculated band gap of CdS quantum dot is 2.62 eV showed a difference of 0.2 eV energy greater than that of bulk, indicating quantum size effect. The synthesized quantum dot has size in the range of 3.5nm with zinc blende crystallite structure. The plate like nanoclusters of CdS are inferred from SEM images. The photocatalytic efficiency of prepared CdS was tested for the degradation of rhodamine B dye using natural solar light. Effect of weight of catalyst, concentration of dye, pH of solution and reusability of catalyst were investigated. Existence of isosbestic point observation of high intense absorbance peak at 550nm at 300min in different matrix circumstances confirms the formation of leuco Rh B.

The Multi-targeted action of Polyherbal formulation is responsible for enhanced therapeutic efficacy in combating various diseases. But, understanding the mode of action of herbal medicine remains a challenge because of its complex metabolomics. Network pharmacology-based approach enables to explore the mechanism of action of polyherbal formulation in biological system. In present investigation, we have explored the molecular mechanism of action of the Polyherbal formulation MKA comprising of three botanicals Mimusops elengi L., Kedrostis foetidissima (Jacq.) Cogn. and Artemisia vulgaris L. in treating respiratory diseases by network pharmacology-based approach. The protein targets were mined from Binding database for the bioactive present in MKA. The disease associated targets were identified using Open target Platform. Based on ligand-target interactions, it was interpreted that MKA could alleviate the symptoms of respiratory disease by multiple mechanisms like EGFR inhibition by Quercetin and Quercetin-3-O-rhamnoside, KDR inhibition by Quercetin, STAT-3 inhibition by β-sitosterol- β-Dglucoside, TRPV1 inhibition by phytol acetate, etc. The Protein-protein interaction (PPI) network was constructed using STRING database. KEGG pathway based functional enrichment was also predicted for the PPI network. It was found that multiple ligand-target interactions and protein-protein interactions is responsible for pharmacological activity of MKA in respiratory diseases.

In this work, the result of reachable set bounding and extended dissipative control synthesis of the Markovian jump time-delayed system is studied subject to stochastic actuator failures and partially known transition probabilities. Specifically, a novel actuator fault model is designed, in which the actuator fault matrix satisfies a certain probabilistic condition. Under the construction of an appropriate Lyapunov–Krasovskii functional (LKF), as well as reciprocal convex approach, Jensen’s integral inequality, and reachable set lemma, delay-dependent sufficient criteria are obtained in terms of linear matrix inequalities (LMIs) for finding an ellipsoid to bound the reachable sets of the Markovian jump time-delayed system with bounded disturbances. Finally, two numerical examples are provided to validate the effectiveness of the proposed strategy.

Water-soluble highly green fluorescent carbon quantum dots (CQDs) are prepared by a simple one step hydrothermal carbonization of cost-effective wastes of fish scale to hydrophilic, green luminescent carbon dots (CQDs). The synthesized CQDs optical, physical and chemical properties are examined by UV–Vis and photoluminescence spectra, (PL shows high green emission 406 at the excitation of 330 nm and UV–Vis spectra shows two major peaks at 266 and 371 represents π → π ∗ and n → π ∗ transition respectively). As synthesized CQDs are spherical morphology and the size of CQDs is ~ 6 ± 1 nm. Synthesized CQDs are used for energy and water treatment application.

Healthcare industries generate enormous amount of data, so called big data that accommodates hidden knowledge or pattern for decision making. The huge volume of data is used to make decision which is more accurate than intuition. Exploratory Data Analysis (EDA) detects mistakes, finds appropriate data, checks assumptions and determines the correlation among the explanatory variables. In the context, EDA is considered as analysing data that excludes inferences and statistical modelling. Analytics is an essential technique for any profession as it forecast the future and hidden pattern. Data analytics is considered as a cost effective technology in the recent past and it plays an essential role in healthcare which includes new research findings, emergency situations and outbreaks of disease. The use of analytics in healthcare improves care by facilitating preventive care and EDA is a vital step while analysing data. In this paper, the risk factors that causes heart disease is considered and predicted using K-means algorithm and the analysis is carried out using a publicly available data for heart disease. The dataset holds 209 records with 8 attributes such as age, chest pain type, blood pressure, blood glucose level, ECG in rest, heart rate and four types of chest pain. To predict the heart disease, K-means clustering algorithm is used along with data analytics and visualization tool. The paper discusses the pre-processing methods, classifier performances and evaluation metrics. In the result section, the visualized data shows that the prediction is accurate.

Performance and security are two critical functions of wireless ad-hoc networks (WANETs). Network security ensures the integrity, availability, and performance of WANETs. It helps to prevent critical service interruptions and increases economic productivity by keeping networks functioning properly. Since there is no centralized network management in WANETs, these networks are susceptible to packet drop attacks. In selective drop attack, the neighboring nodes are not loyal in forwarding the messages to the next node. It is critical to identify the illegitimate node, which overloads the host node and isolating them from the network is also a complicated task. In this paper, we present a resistive to selective drop attack (RSDA) scheme to provide effective security against selective drop attack. A lightweight RSDA protocol is proposed for detecting malicious nodes in the network under a particular drop attack. The RSDA protocol can be integrated with the many existing routing protocols for WANETs such as AODV and DSR. It accomplishes reliability in routing by disabling the link with the highest weight and authenticate the nodes using the elliptic curve digital signature algorithm. In the proposed methodology, the packet drop rate, jitter, and routing overhead at a different pause time are reduced to 9%, 0.11%, and 45%, respectively. The packet drop rate at varying mobility speed in the presence of one gray hole and two gray hole nodes are obtained as 13% and 14% in RSDA scheme.

The digitization of health care has led to enormous increases in health-related data, constituting big data. The health industry is complex, comprising various stakeholders, and generating heterogeneous data in enormous volumes at great speed from multiple sources; such data have great potential for deriving valuable information, if handled in an appropriate way. In addition, greater importance is being awarded to evidence-based decision making, as result of which value-added services in healthcare can be improved. Handling big data in healthcare is thus complex, and data processing requires advanced machine learning algorithms, artificial intelligence, and data mining with sophisticated tools and techniques for acquisition, storage, processing, and analysis of the data, components which do not exist in traditional healthcare systems. Data analytics is essential, providing timely strategic business decisions at reduced cost. In this chapter, we have provided an outline of big data in healthcare and presented an overview of Hadoop architecture. Furthermore, the tools and techniques used in the healthcare industry are described in detail. Various areas for the application of big data to health care are discussed in detail, along with a list of challenges faced by the health industry in the handling of big data.