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Diabetes is a chronic disease and the major types of diabetes are type 1 and type 2. On aging, people with diabetes tend to have long-term problems in hypertension, coronary artery disease, obesity, and nerves. Given the increasing number of complications in recent years, by 2040, 624 million people will have diabetes worldwide and l in 8 adults will have diabetes in the future. Machine learning (ML) is evolving rapidly, many aspects of medical learning use ML. In this study, tension-type headaches (TTH) were associated with diabetes using SPSS, Pearson correlation, and ANOVA tests. Data were collected from Delhi NCR Hospital. It contains 30 diabetic subjects. The purpose of this study was to correlate diabetes analysis from TTH and other diseases using the latest technologies to analyze the Internet of Things and Big Data and Stress Correlation (TTH) on human health. The authors used Pearson correlation to correlate study variables and see if there was any effect between them. There was an important relationship between the percent variable, the total number of individuals, the number of individuals, and the minimum variable. The age (field) of the number of individuals to one of the total number of individuals showed a strong correlation (1.000) with a significant value of p (1.000). Overall, cases of TTH increased with age in men and do not follow the pattern of change in diabetes with age, but in cases of TTH, patterns of headaches such as diabetes increase to age 60 and then tend to decrease.

Introduction Many researchers have used a number of organic and inorganic compounds to retard the dissolution of metals and alloys in various aggressive media. It is well‐known that a particular inhibitor which gives a very high efficiency for a metal‐corrosive system may not function similarly in other metal‐corrosive systems. It therefore becomes necessary to seek better inhibitors for different systems. The aim of the present study is to investigate the role of cyclohexyl‐2,3,5,6‐tetrahydro‐1‐thiotetrazine in controlling corrosion of mild steel in neutral media.

The study is an attempt to explore much talked but less understood issue of “blockchain in logistics industry” in modern perspective. The customers' acceptance of blockchain technology in logistics and supply chain is tested through “Technology Acceptance Model” by using attitude, perceived usefulness (PU), perceived ease of use (PEOU), behavioral intention and use behavior.

Data has been collected through online and offline medium, where active 240 responses have been collected finally using convenience sampling. Confirmatory factor analysis with structural equation modeling (SEM) was carried out for data analysis.

The customers' acceptance of blockchain technology in logistics and supply chain is tested through “Technology Acceptance Model.” The findings reveal model fit where PEOU, PU and attitude are the major constructs of the model to realize the substantial gains in logistics process efficiency.

Convenience sampling has been considered for the study to collect the data of online users of various technology applications for tracking and shipment detail, whereas a more specified method sampling can be considered for the future research. The study has been conducted in the Indian context, which has been considered as the limitation pertaining to generalization across countries and industries.

The findings of this study will be helpful for market practitioners to build transparency between customers and industry to overcome the frictions in logistics. Blockchain will help in monitoring the performance history and previous commitments of logistics professionals resulting in selecting a responsible logistics solution provider. Access to critical data by the authorized member of the supply chain will reduce unsubstantiated disputes.

Blockchain technology will be available to everyone on the network. This will bring transparency and help logistics professionals such as carriers, shippers and brokers to detect early frauds and prevent thefts. It will increase customer trust toward any financial transaction for tracking the ownership of titles.

Blockchain technology is envisioned to be a technology that could be a game-changer for decentralizing infrastructure, introducing transparency and building trust in the supply chain. The current study is a novel addition to the literature where blockchain technology enables the indisputable storage of verified data that was previously kept in safeguarded silos.

This study aims to find the model fit to understand the consumer behavior in context to the hyper-personalization through digital clienteling by using structural equation modeling. The traditional method of customer passive observance has been transformed to dominance, where, the fundamental challenge for companies is to understand consumer behavior, work on cost-efficiency and implement sustainable innovation.

To investigate this emerging issue, this study aims to find the model fit via applying “Technology Acceptance Model” (TAM) and “Theory of Reasoned Action” (TRA) in context to the hyper-personalization through digital clienteling with special reference to women ethnic fashion wear.

The study findings depict the perceived ease of use (PEOU) and perceived usefulness (PU) of technology, attitude toward clienteling and subjective norm toward customization impact on customer intensions. The findings posited that perceived usefulness is having the strong relationship with purchase intention as compare to other variables. So, the analysis postulated that customer considered hyper-personalization is having perceived usefulness for customer and it also helps customer in getting the information about the product on the Web page.

Because of lack of availability of resources, a specified sampling method has been used for this study. A new research, which will cover the fashion apparel from all the categories with a detailed study from the branded and non-branded point of view, will provide better description on this topic.

By having personalized Web page through big data analytics, customer will have positive experience and positive association with the company. The other parameters also play an important role toward the customer behavioral intention. The current study approaches new way of understanding the participative management of the personalization and tool to guide the work of strategy professionals and management of fashion e-commerce sector internationally and even in the other sectors also.

Because of advancement of technology, the usage of online media is increasing day by day and this change is having high impact on the society, though we can innovate in any field or industry. Hyper-personalization has an impact on the online consumer buying behavior, which will affect the methods of searching information for consumers.

This new area of research is having large scope of future research from the fashion industry point of view. This paper is working as one of the element in the area of hyper-personalization through digital clienteling to gain sustainable results in the fashion industry.

This study aims to enhance the understanding of impulse buying in grocery stores, where such purchases are pervasive and consumers face greater decision fatigue and diminished willpower than in more frequently examined retail environments. The intent is to demonstrate the influence of variables known to affect impulse buying in other environments on grocery shopping behavior, identify and profile segments that vary along those constructs and reveal how those segment characteristics help to explain impulse buying differences.

A purposive sample of 234 grocery shoppers approached at the point of purchase in a metropolitan area in Northeastern USA completed scales for theoretically derived variables and reported on their impulse purchases.

Anxiety, perceived financial pressure (PFP), novelty/variety seeking and shopping enjoyment positively influenced, whereas need for cognition had a negative effect on impulse-purchase activity. Two distinct segments of impulse buyers emerged: anxious and innovative shoppers. Anxious shoppers were higher in anxiety, PFP and compulsive buying, whereas innovative shoppers had higher levels of need for cognition and novelty/variety seeking.

The evidence for the dominance of anxiety and novelty/variety seeking as key motivators of distinct segments of impulse buyers in grocery stores is unique to this study. Results yield new insight on tension between the effects of motivational variables on the immediate impulse buying decision and post-purchase evaluation and add precision to marketers’ efforts to encourage spontaneous in-store decision-making.

Studies the inhibiting action of some organic compounds on the corrosion of a glass surface in sodium chloride solution by immersion test method. The window glass specimens were immersed in sodium chloride test solution in the presence of inhibitor compounds for different durations at laboratory temperature (30 ± 5°C). Studies by optical microscopy the morphological changes due to corrosion on the surface of window glass in the presence and absence of inhibitor compounds. Transmittance values have also been recorded for glass specimens corroded in the presence and absence of inhibitor compounds. Observes that 4‐picoline provides satisfactory protection to the window glass surface.

The purpose of this study is to provide a review of the existing research landscape on work-life balance and women’s career motivation. It examines the relationship between work-life balance and career motivation in the context of Indian women. Specifically, it explores how the work-life balance of women influences the motivational aspects of their careers.

The research uses a systematic literature review to identify and analyze relevant literature on work-life balance and women’s career motivation among Indian women from the Scopus database.

The study uncovers critical insights into the connection between work-life balance and women’s career decisions. It gives insight on how work-life balance significantly impacts women’s career choices. The SLR reveals a notable and consistent upward trend in the domains of work-life balance and career motivation among women.

The findings of this study can inform organizations in tailoring policies that foster women’s career growth while simultaneously supporting a healthy work-life balance. In addition, the research can empower women to make informed decisions about their careers and personal lives. Ultimately, it contributes to creating a more inclusive and gender-equitable work environment, promoting both women’s career aspirations and their overall well-being.

This research stands out in its examination of the relationship between work-life balance and women’s career motivation, particularly in the unique context of Indian women. While previous studies have explored these topics individually, this research bridges the gap by investigating their interplay. Moreover, the application of a systematic literature review approach to these variables in the context of Indian women represents a novel contribution.

The purpose of this paper is to investigate the influence of store atmosphere on consumers’ positive emotional responses and impulsive purchase behaviour. In addition, it analyses the moderating role of culture characteristics and situational variables on this influence.

The study carried out a quantitative face-to-face on-site survey of a retail fashion brand in two countries, Brazil and Germany. This paper extended the original model of Jung Chang et al. (2014) based on environment, design and social features (staff) by adding store atmosphere factors such as layout, music and lighting (Mohan et al., 2013), thereby defining store atmosphere as the way customers perceive and experience the combination of all those factors.

Data analysis from 313 consumers by structural equation modelling (PLS–SEM) showed that most factors influence consumers’ positive emotional responses, but no significant difference between countries. However, the effect of emotions on impulse purchase behaviour is stronger among collectivist consumers (Brazil) than among individualists (Germany).

This study sheds light on the links between store atmosphere and retail market in Brazil and Germany, framing its conclusions in the context of a comparison between cultures. The paper extends the growing research in the area by exploring the moderating role of the individualism–collectivism dimension of national culture in consumer buying behaviour by comparing the strength of various relationships across shoppers from individualistic vs collectivistic cultures.

Blockchain, in general, diversifies supply chain management in record-keeping and maintains authenticity. In addition, traditional issues and challenges like overflow and information overload press down mysteriously whenever the blockchain steering wheel of the supply chain turns. Factually, the miracle and twists in supply chain resilience have not been incorporated under systematic review homogeneously. As a result, this study reviews the potential impact of blockchain on logistics and supply chain (LSC) efficiency. The methodology of this study provides a subjective assessment of the utility of blockchain-based LSC performance.

On the other hand, the review reveals new insights on its current acceptance and applications, with a particular emphasis on the Limit Redundancy Mechanism and Core Information-based Direct Comparison. Prospectively, the identified facts under the research paradigm and extensive literature survey will subsidize the practices of blockchain technology and possible areas of extension in supply chain resilience in luminous fashion in the future. After all, this study materializes new solid magnitudes, adaptability, and a realistic overview of blockchain-based LSC movements.

The nature of construction works has a negative impact on physical, mental and emotional well-being and makes it difficult for the construction industry to attack and retain its workforce. The current study seeks to integrate the current knowledge focused on work–life balance (WLB) in the industry into an understandable whole.

An interpretivist philosophical approach was adopted using a bibliometric review and a narrative review of existing studies from both Scopus and Google databases. The Visualisation of Similarities viewer (VOSviewer) was used to prepare co-occurrence maps from the bibliographic data garnered.

The study reveals that the prominent factors influencing the WLB of the construction workforce are organizational culture, salary earned, heavy workload, long working hours and inflexible working time. The recent WLB discourse is on organisational commitment, job satisfaction and workplace dynamics. While WLB areas for further exploration are job stress, safety performance, employee attrition and an ageing workforce. Meanwhile, Africa and South America are still lagging in WLB research.

The findings reported here will assist stakeholders in identifying appropriate WLB initiatives that can be used to improve the well-being of the construction workforce. Also, the gaps in knowledge for further research were highlighted.

The findings reveal current trends and a road map for future studies on WLB in construction. It also reveals prominent factors influencing the WLB of workers in the construction industry.