Analysis of histopathological patterns of lung and pleural biopsy in correlation with immunohistochemistry

Introduction: Lungs are the most exposed organs to different risk factors  like pollution, smoke, infections, tuberculosis and allergens. Lungs are covered by parietal and visceral layers of pleura within which pleural fluid is present. Aim of the study was to evaluate various histopathological patterns of lung and pleural biopsy in correlation with age, sex and immunohistochemistry examination findings.Material and methods: This is a retrospective study of three year three months done at Pathology Department, S.S.G. Hospital and Medical College, Baroda from October  2016 to  December  2019. In present study, total 169 cases were received for histopathological examination, out of which 151 cases were of lung biopsy and 18 cases were of pleural biopsy. Immunohistochemical examination was done as and when required.Results:Lung biopsy of  151 cases  were examined. Out of which,  88 cases (58.3%) were neoplastic, 54(35.8%) cases were non-neoplastic and  9 cases(5.9%) were inconclusive. The commonest malignancy was  squamous cell carcinoma. Commonest non-neoplastic lesion was interstitial inflammation (6.6%).  Malignancy was seen more  common than inflammatory conditions  in patients presented withlung masses in our institute. While out of 18 cases of pleural biopsy,  6 cases(33.3%) were neoplastic and 12 cases (66.7%) were non-neoplastic. Adenocarcinoma was the most common neoplastic lesion while tuberculosis was the most common non-neoplastic pleural lesion.Conclusion:Histopathological examination plays an important role in making a correct and accurate diagnosis of various lesions of lung and pleura. Although histopathological examination is gold standard, immunohistochemistry can enhance the accuracy of such diagnosis. &nbsp

The Role Of Privacy And Security Threats In The Adoption Of A Blockchain

The main focus of the blockchain literature has been on the technical capabilities of the technology in terms of data privacy and security enhancement. Such an approach has disregarded the individual\u27s perception of potential threats in data exchange and the capabilities of a blockchain to eliminate them. To fill this gap this study aims to examine the cognitive factors determining the users’ motivation to utilise blockchains as a means to protect oneself from privacy and security issues. This paper adopts the Protection Motivation Theory, which makes it possible to assess the role of threat and coping appraisal in relation to the adoption of the blockchain. We examined the effect of the factors using a sample of 506 respondents. The findings showed that threat vulnerability, response efficacy, response cost and self-efficacy determine adoption intention. Compared to threat appraisal, coping appraisal has a stronger effect on intention to use. The findings contribute to the understanding of the individual\u27s perspective on blockchain adoption by focusing on cognitive factors. They can inform blockchain developers and marketers about aspects of individuals’ behaviour that should be considered when developing and promoting the technology

Blockchain: A Business Model Innovation Analysis

The adoption of blockchain-based technologies by organisations can bring benefits in terms of firms' profitability, productivity and efficiency, making companies rethink their existing business models. However, as the technology is still developing and the research on the implications of the different types of blockchain networks (i.e. public, private, consortium) is scarce, their role in business model innovation requires closer attention. To address this gap, the paper provides a conceptual insight into the role of blockchain technology in companies with different value configurations by examining the technological conditions that can impact business models and probing the role of technology benefits in driving company value. The analysis contributes to the literature by discussing the business implications of innovative technologies and uncovering their positive and negative consequences for the value creation, delivery and capture activities. Such analysis sheds light on the functions of blockchains that have a differentiating impact on business processes. Also, the paper puts forward managerial implications by discussing the paths of business model innovation using blockchain technologies

Blockchain Adoption:A Study of Cognitive Factors Underpinning Decision Making

The literature so far has been focused on technological sophistication rather than the aspects of blockchain adoption that can hinder or facilitate the use of the technology. To address this gap this paper aims to study the cognitive factors underpinning adoption decision-making moderated by user characteristics. Using a cross-sectional research design, the study recruited 506 respondents to participate and test the relationships hypothesised in the research model. The results of the analysis demonstrated that perceived threat vulnerability, response cost, response efficacy and self-efficacy determine adoption intention. These factors have varying effects on intention depending on users' subjective knowledge, objective knowledge and innovativeness. This evidence contributes to the understanding of users’ perspectives on blockchain adoption, which has been under-researched so far. The findings shed light on the cognitive factors motivating blockchain-based technology use and the individual characteristics of users who are likely to adopt the technology in the context of data privacy and security. In turn, these findings can inform practitioners about the aspects of user behaviour that should be considered while developing and marketing the technology

Blockchain in a Business Model: Exploring Benefits and Risks

Although a blockchain has the potential to redefine value creation, delivery and capture activities in organisations, research on business model innovation from a blockchain perspective is still developing. This paper provides an analysis of literature on the use of blockchain in business model innovation. This analysis reconciles the technological and management perspectives to explore blockchain technology characteristics in relation to benefits and risks for business models. The findings contribute to the emerging stream of research discussing the business implications of innovative technologies, describing how blockchain networks can have an impact on business processes

Neuroadaptive incentivization in healthcare using Blockchain and IoT

Financially incentivizing health-related behaviors can improve health record outcomes and reduce healthcare costs. Blockchain and IoT technologies can be used to develop safe and transparent incentive schemes in healthcare. IoT devices, such as body sensor networks and wearable sensors, etc. connect the physical and digital world making it easier to collect useful health-related data for further analysis. There are, however, many security and privacy issues with the use of IoT. Some of these IoT security issues can be alleviated using Blockchain technology. Incorporating neuroadaptive technology can result in more personalized and effective therapies using machine learning algorithms and real-time feedback. The research investigates the possibilities of neuroadaptive incentivization in healthcare using Blockchain and IoT on patient health records. The core idea is to incentivize patients to keep their health parameters within standard range thereby reducing the load on healthcare system. In summary, we have presented a proof of concept for neuroadaptive incentivization in healthcare using Blockchain and IoT and discuss various applications and implementation challenges

Tuberculosis masquerading carcinoma cervix and carcinoma endometrium: 2 case reports

Tuberculosis is a common infection in developing countries but genital tuberculosis is less common, confused with malignancy and difficult to diagnose at times. We present 2 cases of genital tuberculosis where a clinical diagnosis of malignancy was made and tuberculosis surprised us once again. This case report is intended to emphasize to suspect tuberculosis in young patients on the basis of history and examination to be later supported by investigations.

Software defined membrane: policy-driven edge and internet of things security

The Internet of Things (IoT) is the latest web evolution incorporating potentially billions of devices (such as cameras, sensors, RFIDs, smart phones, and wearables), owned by different organizations and by individuals deploying and using them for their own purposes. There are currently 6.4 billion IoT devices in use around the world (according to Gartner). Their number, capabilities, as well as their scope of use keeps growing and changing rapidly. Gartner also forecasts that the number of IoT devices will reach 20.8 billion by 2020, and that IoT service spending will reach 1,534 billion, and hardware spending 1,477 billion by this period. Similarly, the volume of generated data and computing requirements of IoT applications will continue to increase with the increasing pervasiveness of IoT technologies. However, security and data privacy remain major challenges in the use of such devices