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Current scenario of Gastric cancer (GC): A systematic review
Gastric cancer (GC) is amongst the most difficult cancers to treat and, hence, has to be studied from the roots to be properly analysed. The disease starts as precancerous lesions which have to be observed. This includes dysplasia, atrophic gastritis and intestinal metaplasia. This is effective for detecting the prognosis of GC so that it can be resolved in early stages. This is dependent on a variety of risk factors which include blood type, gender, age, geography, gene polymorphisms, acid secretion, pernicious anemia, oxidative damage, previous gastric surgery, etc. Probably the most important, however, is infection by H. Pylori. With respect to virulence factors and host factors, both are significant players in the development of several cases of malignancies. Other genetic factors and lifestyle choices including alcohol use, tobacco usage and obesity, will also be analysed. There are also several genetic conditions that cause high risk of development into a malignancy including Menetrier s disease, hereditary diffuse GC, Lynch syndrome, Peutz-Jeghers syndrome, Li Fraumani syndrome etc. Several diagnostic procedures such as lab tests, physical examinations and biopsy are used. The current review analysed the factors which are involved in the prognosis and causative agents in the development of GC. This is to better understand how GC can be diagnosed and confirmed. This may include molecular testing, including genes, which can be of high risk followed by modern treatment methods discussing surgery, chemotherapy, immunotherapy and radiotherapy. Chemotherapy includes discussion of several drugs and how they target the malignancy in question. By understanding the disease in detail, through causes, prognosis, detection and treatment, we can go one step closer to find the cure for GC. 2022 World Research Association. All rights reserved. -
Current status and future trends on the use of innovative technologies for recovering bioactive from insects
Edible insects hold great potential as human food owing to their nutritional, economic and environmental value. Though, the negative perceptions of insects limit their intake by majority of the insects, their efficient processing and utilization in food products have steadily increased their demand in recent years. This chapter deals with the emerging and advanced extraction techniques for recovering functional and bioactive compounds from insects, considering the various factors which might influence the optimum yields. Apart from their production yields, it is of utmost significance to preserve their nutritional and sensory qualities for their effective utilization in functional food products. In this regard, various emerging technologies such as enzymatic hydrolysis, cold atmospheric pressure plasma, ultrasound-assisted extraction, high hydrostatic pressure have been explored. Mechanisms of action along with their benefits and drawbacks have been thoroughly described in the later part of the chapter which will provide insight to the readers for the selection of optimum technology for insect processing. Overall, this chapter provides the readers a comprehensive view about alternatives to conventional techniques for postprocessing of insects and optimization for case-specific technology. 2024 Elsevier Inc. All rights reserved. -
Current status of e-governance in healthcare in the large hospitals of Bangalore /
Healthcare industry has seen a lot of transformation and innovation over the years. It is coming forward as a recognised sector in India after Information Technology and Pharmaceutical. But despite this Indias healthcare infrastructure has not kept pace with the economies and the sectorial growth. Enormous amount of resources have been spent but very little change on actual health status is noticed. This study is undertaken to assess the current status of e-governance (ICT) in large hospitals and try and find out the awareness and accessibility of e-governance to the patients. The survey conducted in hospitals involved the patients responses and responses from the Healthcare Professionals (HCPs). An attempt has been made to find out the effectiveness of various ICT applications in the healthcare like EHR/ EMR or Telehealthcare. Majority of the research on e-governance focussed on overall effective governance and administration but very few studies have been done to highlight the status of e-governance in healthcare in India. -
Current Trends in Career Decision in Youth: Opportunities and Challenges
In todays times, career is a crucial life decision. Due to its paramount importance in our lives, the youth experience diverse kinds of stresses and pressures while choosing their career in life. Contrary to earlier handful career options, current trends offer an unlimited mix of traditional as well as unconventional career roles which further create confusion and anxiety while making the final decision. Newer factors, challenges and opportunities have forced a change of frameworks and perspectives to career decision-making. In career counselling, current trends are shifting away from the traditional practice of matching skill-sets to the job. Todays career decision-making takes an inclusive approach by discussing the various internal influences, emotional management, cognitive thinking styles, coping strategies, adaptability, etc. as well as external influences of uncertainty, evolving lifestyle demands, changing economic tapestry, etc. In addition, the influences of gender, family and culture affect the nature of the goals and their acceptability. The current chapter throws light on the evolving scenario in the field of career decision-making among the youth and attempts to offer solutions to the challenges being faced by the youth. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. -
Curvature Ductility of Reinforced Masonry Walls and Reinforced Concrete Walls
Research conducted in this work proposes an equation to evaluate and compares the curvature ductility of reinforced masonry (RM) and reinforced concrete (RC) walls. The curvature ductilities are measured at varying levels of axial stresses for walls for aspect ratio (l/h) of 0.5, 1.0 and 1.5. The percentage of reinforcement is increased from 0.25% (minimum reinforcement for RC walls as per IS-13920) to 1.00%. The curvature ductilities are evaluated by plotting flexural strength (M) versus curvature (?) for the walls. The stressstrain curves of masonry, concrete and reinforcing steel are all adopted from existing literature. The compressive strength of masonry and concrete has been chosen as 10MPa and 25MPa, respectively. The yield strength of the steel is fixed as 415MPa. The height and thickness of the wall are 3000 and 230mm, respectively, and the length of the wall is varied to obtain different aspect ratios. Results obtained from this paper imply due to increase curvature ductility, RM walls provide a better alternative for the construction of structural walls compared to RC walls in regions of significant seismicity. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Curvit: An open-source Python package to generate light curves from UVIT data
Curvit is an open-source Python package that facilitates the creation of light curves from the data collected by the Ultra-Violet Imaging Telescope (UVIT) onboard AstroSat, Indias first multi-wavelength astronomical satellite. The input to Curvit is the calibrated events list generated by the UVIT-Payload Operation Center (UVIT-POC) and made available to the principal investigators through the Indian Space Science Data Center. The features of Curvit include: (i) automatically detecting sources and generating light curves for all the detected sources and (ii) custom generation of light curve for any particular source of interest. We present here the capabilities of Curvit and demonstrate its usability on the UVIT observations of the intermediate polar FO Aqr as an example. Curvit is publicly available on GitHub at https://github.com/prajwel/curvit. 2021, Indian Academy of Sciences. -
Customary complications and screening techniques of early pregnancy
Complications arising during pregnancy are one of the significant public health issues around the world. Being the critical aspect for the growth and development in every human's life, it is necessary to assess any pathological disturbance mainly concerning the well-being of the fetus and mother throughout pregnancy. Few women face health downline while pregnancy, whereas few faces before getting pregnant; both the conditions can lead to complications in maternal and fetal health. Usually, pregnancy-related complications disappear as soon as the baby is delivered or shortly after that. Few complications include premature delivery, abruption of the placenta, preeclampsia, and diabetes. At the same time, gestation and these complications reoccur in successive pregnancies at a higher rate. They can also make the women prone to lifelong medical complications such as metabolic diseases or cardiovascular disease later in life. Most of the complications are mild without progression, but it harms both the mother and baby when they progress. Hence, it is important to diagnose early the danger signs and provide antenatal care to elevate the chances of proper health in both the mother and infant throughout the pregnancy and afterwards. This chapter focuses on the complications faced in the early phase of pregnancies and the screening methods utilized to diagnose them early, along with long-term effects in mothers due to some complications. The Author(s), under exclusive license to Springer Nature Switzerland AG 2023. -
Customer Behavior Analysis Using Unsupervised Clustering and Profiling: A Machine Learning Approach
Now-a-days, client conduct models are reliably established on information mining of client information, and each model is supposed to answer one solicitation at one point on schedule. Anticipating client conduct is a problematic and irksome task. Thus, making client conduct models requires the right strategy and approach. Right when an estimate model has been fabricated, it is challenging to restrict it for the motivations driving the advertiser, to pick the very thing displaying moves to make for every client or for the party of clients. Notwithstanding the multifaceted nature of this arrangement, most client models are completely fundamental. As the need might arise, most client conduct investigation models ignore such endless proper factors that the gauges they make are overall not altogether strong. This paper plans to encourage a connection rule mining model to expect client conduct using a typical electronic retail store for data combination and concentrate critical examples from the client conduct data. In this undertaking, a solo grouping of information on the customer's records from a regular food item company's data set will be played out. Customer segmentation is the act of clustering customers into bunches that reflect likenesses among customers in each group. Customers are separated into sections to advance the meaning of every customer to the business. To change items as indicated by unmistakable requirements and practices of the customers. It additionally assists the business with obliging the worries of various kinds of customers. Customers were clustered using a technique known as agglomerative clustering, which is a type of hierarchical clustering. Agglomerative clustering is a method for clustering data in a hierarchical order. It entails merging cases until you reach the appropriate number of clusters. The number of clusters to be produced is determined using the Elbow Method. 2022 IEEE. -
Customer Lifetime Value Prediction: An In-Depth Exploration with Regression, Regularization and Hyperparameter Tuning
In today's dynamic business environment, companies have been strategically shifting towards a customer-centric approach from their traditional product-centric focus. The main goal of this paper is to estimate customer lifetime value of 5,000 customers in the retail industry. This research follows a step-by-step approach to construct a multiple regression machine learning model. The model used in the study is based on the nine features to predict the customer life time value. First basic train-test split model is developed, which predicted 74% of variation in the customer lifetime value. This necessitates to improve the model performance, hence to address the multicollinearity problem lasso regularization is used. After lasso regularization , final model is trained with hyperparameter turning for further model performance improvement. The results show significant improvements in predicting customer lifetime value with the final model. This study suggests that the machine learning regression models can help to businesses to better understand how much value they can generate from individual customer.This deep understanding about customers helps retail businesses to align their customer engagement strategies to create a positive impact on the profitability and maximizing overall value offered to the customers. 2024 IEEE. -
Customer Perception and Receptivity to Loyalty Programs offered by Organised Retailers
The Indian Retail Industry is growing at a fast pace. This growth to a large extent is driven by the organised retail market, with more and larger retail organisations investing heavily in increasing their store networks and improving in-store offerings. Apparel, accessories and related merchandise form a considerable chunk of the organised retail space and is in the ambit of a handful of established players vying to capture & increase larger portions of the available market using new strategies. Increased customer satisfaction and service is one of the means through which they will be able to fulfill their goals. The use and implementation of Customer Relation Management tools like Loyalty Programs is one of the ways in which they can achieve customer satisfaction. According to Sharp and Sharp (1997) loyalty programs are structured marketing efforts, which reward and encourage the loyal behaviour of their members. Capizzi et al (2004) defined it as the business process of identifying, maintaining and increasing the yield from best customers through interactive,value-added relationships.Loyalty programs are thereby are a rhetoric of relationship marketing in gaining customer loyalty.(Minami & Dawson ,2008) . Loyalty programs, however serve dual purposes of the organisation ?? acquisition of customer spending related information and ensuring that they patronise their store. According to Peters (1988) the costs of retaining customers are about 80 percent lower than acquiring new customers. This explains why there is a high degree of proliferation of retailer loyalty programs. Loyalty Programs today have become an inseparable part of the Customer Relationship Management (CRM) strategy of todays retailers. It is vital to gauge how successful these programs are as CRM tools. This study is concerned with how customers perceive such programs and how receptive they are towards these programs. The sample size consisted of 168 usable samples of member customers of loyalty programs of four competing departmental stores who were members of the stores. The study was confined to the city of Bangalore. Convenience sampling was used for the purpose of data collection. Data was collected through questionnaires and was subjected to descriptive analysis and inferential analysis. The reliability of the perceptual scale was found to be 0.766. The major findings of the research are: ? Lifestyle is the most frequented store and Shoppers Stop has the most attractive loyalty program. ? Customers have more important reasons for preference of a store than holding membership to the stores loyalty program ? Customers perceive that a loyalty program membership makes them enjoy monetary benefits. Offers and discounts followed by redeemable points are the most popular form of monetary benefits. ? Customers seek ??real and value creating benefits from loyalty programs ? There is a significant relationship between customer perception of loyalty program benefits and purchase behaviour. ? There is a significant relationship between customer perception of loyalty program benefits and store attractiveness and loyalty. The study will help retail organisations understand their customers better and help them in designing and implementing more satisfying, value creating and differentiated programs as a CRM tool to retain customers and build loyalty. -
Customer perspective on a curated gift-box service: A study in Sikkim, India
Due to the proliferation of choices and brands, accessibility to information, and new communication mediums, consumer behavior, particularly decision-making processes, has been altered by the spending power of various segments. In the Indian environment, although product appearance has been identified as a significant factor in influencing customer behavior, its effect on decision making when combined with other factors such as cost, features, and intrinsic psychological factors has not been studied thoroughly. This study aims to highlight consumers' perspective on a curated gift-box service in Sikkim. Focusing on gifting during special occasions, impulse buying, and self-gift opportunities, this study stands on the possibility that there is a need for such service in the market. 2023, IGI Global. -
Customer Perspective through Artificial Intelligence: Forecasting Green Products Sustainable Development
The idea of planned behavior was developed in 1980 as a philosophy of deliberate action to interpret human behavior. The primary element of this theory is an individuals purpose, which is impacted by the attitude of expecting that the behavior will result in the desired result. This theory has helped in determining certain characteristics of an individual that includes smoking, drinking, services, and so on. The theory states that the behaviors are achieved through motivation and control. These characteristics developed are completely voluntary which can sometimes help in the betterment and improvement in any field. The name of the theory itself gives us a clarity that it is a well-planned formation of behaviors different from his or her normative and preconceived beliefs and norms. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar. -
Customer preferences to select a restaurant through smart phone applications: An exploratory study
The increasing number of Smart Phone Applications (SPA) user and fast growing restaurant industry proves the great potential of using SPA as business marketing opportunity in Malaysia. The constant growth in mobile technology has created a prospect for the restaurant industry to use SPA as a restaurant promotion tool. The growing attention of use of SPA among the Malaysian customer, marketing research remains understudied in the field of SPA based restaurant promotion activities. The aim of this study is to explore the increase in customer acceptance to use SPA based restaurant promotion and to identify the customer preference to use SPA to select the restaurant. Thus, this paper mainly focuses on restaurant information on product and promotion as antecedents of customer acceptance of smart phone apps by underpinning the Unified theory of acceptance and use of technology (UTAUT) model. A conceptual model and hypotheses are tested with a sample of 116 students from a private university at Selangor district, Malaysia. The findings indicate that there is a positive relationship to increase customer acceptance level through SPA based restaurant product information and also strong relationship with the restaurant promotion information. It also indicates that customer acceptance of SPA through experience and satisfaction has a positive significant effect on customer preference to select a restaurant. Based on the results, this paper rounds off with conclusion, recommendations for future marketing research and provides a new marketing strategy to formulate among the restaurant business sector. 2015 American Scientific Publishers. All rights reserved. -
Customer relationship management system and method of taking feedback thereof /
Patent Number: 202241008325, Applicant: Dr. Rashmi Rai.
A customer relationship management system (1) and method of taking feedback thereof comprising a feedback button (2), a mobile application (2A), an electronic unit (4), a computer (5), a mobile (6), a network (7), a server (8), a database (9). The invention provides a feedback button may be a physical three-way button (2) or a three-way digital button. One of them is visible on mobile applications and the second one is visible in the room. -
Customer relationship management system and method of taking feedback thereof /
Patent Number: 202241008325, Applicant: Dr. Rashmi Rai.
A customer relationship management system (1) and method of taking feedback thereof comprising a feedback button (2), a mobile application (2A), an electronic unit (4), a computer (5), a mobile (6), a network (7), a server (8), a database (9). The invention provides a feedback button may be a physical three-way button (2) or a three-way digital button. One of them is visible on mobile applications and the second one is visible in the room. -
Customer relationship management system and method of taking feedback thereof /
Patent Number: 202241008325, Applicant: Dr. Rashmi Rai.
A customer relationship management system (1) and method of taking feedback thereof comprising a feedback button (2), a mobile application (2A), an electronic unit (4), a computer (5), a mobile (6), a network (7), a server (8), a database (9). The invention provides a feedback button may be a physical three-way button (2) or a three-way digital button. One of them is visible on mobile applications and the second one is visible in the room. -
Customer Segmentation and Future Purchase Prediction using RFM measures
Winning in the E-Commerce business race at a competitive age like this requires proper usage of Customer data. Using that database and grouping it in similar segments in terms of spending expenditure, observation time, sex, and location so that every customer falls in a segment of characteristics. This mechanism is called Customer Segmentation. In the modern era of highly compatible technological advancements, Machine Learning Algorithms are being vastly used to bring solutions to these difficult yet essential services. In the field of research methods like simple clustering based on purchase behaviour, buyer targeting or automated customer promotion mechanism by dividing into two major categories, have been worked on. However, ensemble algorithms have come handy where different clustering algorithms are combined to deliver best segmentation. Lately combination techniques like clustering and classification mechanism have also delivered good results where, not only segmentation is done but also classification of existing and new customers are possible into the clusters. Depending on that an effective customer relationship management can really benefit the company to a huge extent. Unlike other studies where clustering was performed directly on RFM table, a different approach was taken in this study where, one dimensional clustering was done individually on Recency, Frequency, Monetary columns, then an overall score was calculated and customers were classified into three segments. However, for a new customer depending on his purchase behaviour he/she also can be classified into any of the categories. 2022 IEEE. -
Customer Segmentation in the Field of Marketing
The motive of this work is to classify and categorize customers depending on their familiar traits/characteristics so as to enable a company or a firm to adequately market their products to each category more attractively and competently. It is imperative for a firm to educate themselves with each and every detail about the customer, such as age group, sexuality, social class, purchase pattern etc as it paves way for customer segmentation. Businesses may utilize segmentation to make better use of their marketing resources, get a competitive advantage over competitors, and, most importantly, display a deeper understanding of their consumers' requirements and desires. Customer segmentation, when combined with customer targeting and positioning, creates the foundation for strategic marketing. A manager can find new marketing possibilities and create or adjust the product to satisfy the demands of potential clients using the notion of strategic marketing. The product's quality level determines its position in the market's overall offering. It's a crucial aspect in selecting which market segment a collection will target. The commercial world has gotten more competitive over time, as enterprises like these have to fulfil their consumers' demands and aspirations, attract new customers, and enhance their bottom lines. In this research, I have put the spotlight on the information used by firms for the purpose of customer segmentation in the most valuable manner. In addition to that, I have portrayed different models of customer segmentation and the benefits reaped by a business in implementing them. 2022 IEEE. -
Customers response to online food delivery services during COVID-19 outbreak using binary logistic regression
This study aims to empirically measure the distinctive characteristics of customers who did and did not order food through Online Food Delivery services (OFDs) during the COVID-19 outbreak in India. Data are collected from 462 OFDs customers. Binary logistic regression is used to examine the respondents characteristics, such as age, patronage frequency before the lockdown, affective and instrumental beliefs, product involvement and the perceived threat, to examine the significant differences between the two categories of OFDs customers. The binary logistic regression concludes that respondents exhibiting high-perceived threat, less product involvement, less perceived benefit on OFDs and less frequency of online food orders are less likely to order food through OFDs. This study provides specific guidelines to create crisis management strategies. 2020 John Wiley & Sons Ltd -
Customers satisfaction towards online banking services of public sector banks
At present the banking industry around the world has been undergoing a rapid transformation. The deepening of information technology has facilitated better tracking and fulfillment of commitments, multiple delivery channels for online customers and faster resolution of issues. Customer satisfaction is important criteria for banks sustenance, now banks are offers online banking services according to the customer needs and requirements. This study analysed customers satisfactions towards online banking services of public sector banks in Tiruchirappalli district. It is understand from the present study that bank websites and technology platforms has to offer various knowledge features on financial services. To retain the existing customers, banks has to conduct regular surveys on the customer satisfaction. The results of the study shows that variables like prompt response, security and Website design and ease of use are top three factors affected customer satisfaction. IJSTR 2020.