bluuebunny/crossref_metadata_2025 huggingface dataset:
Technology-Integrated Smart Living and Era of Smart Homes
Authors: Ahmed Ameer Asra , Vinish P. , Patrick Harold Andrew
Published: July 2024

Businesses and users communicate via networks. Businesses use Skype, RSS, blogs, etc. Communication networks are becoming more complicated and customised as technology develops. Smart networks help carriers launch and manage services. The Bell Communications Research phone network allows device service feature addition or removal. Smart networks may add modules to provide services without replacing equipment. Integrating services with the intelligent network may need new skills. Service addition to an intelligent network may be similar. Improved network management enables smart homes. IoT, AI, and IoE smart houses enable tech-savvy living. IoE and IoT may assist many people, particularly those who spend a lot of time outside while their kids and elderly parents stay home. Home automation may improve life. But every gain has drawbacks. Integrated smart technology may cause complications. Thus, this chapter examines smart living in smart homes, its concepts, intelligent network technologies, administration, benefits, and drawbacks.
Marketing in the Digital Age
Authors: Anantha Subramanya Iyer K. N. , Nagojappa Narendra Babu Shivanagere , Kanjanapathy Malini , Hemanth Kumar S.
Published: July 2024

This chapter explores the intersection of marketing and sustainability in the digital era. Given the rising importance of issues and the increasing emphasis on social responsibility, companies are actively exploring ways to incorporate sustainability into their marketing strategies. This chapter offers an overview of the principles and current trends in this field providing useful insights for businesses looking to utilize technology to accomplish their marketing objectives, while also promoting sustainability. The chapter also throws light upon the difficulties linked to incorporating sustainability into marketing research and marketing strategies. The chapter also highlights the value of improvement and innovation as digital technologies advance and present possibilities for sustainable marketing. In total, the discussions in this chapter present a source for businesses aiming to incorporate sustainability into their marketing strategies. It provides an examination of the principles, current developments and obstacles in this field as well as offering practical advice and suggestions on how to use technology to accomplish marketing and sustainability objectives for marketing professionals, corporate executives, and sustainability advocates who want to navigate the changing world of marketing in today's age.
Data Security and Consumer Trust in Fintech Adoption
Authors: Ramaswamy Shalini , Shankaranarayana Rajesh , Akanfe Oluwafemi O.
Published: July 2024

The study aims to empirically investigate the role of consumer trust and data security in fintech adoption using the diffusion of innovation theory (DOI) and technology acceptance model (TAM) in India. The data of 200 respondents were collected through a self-administered survey. Further, the study explores the factors that influence users' perception towards data security and trust in fintech adoption. The findings highlight a strong relationship between consumer trust and the adoption of fintech services. Users who perceive a higher level of trust in the fintech platform's integrity and data security are more likely to embrace fintech services. The research also highlights the pivotal role of data security measures that fintech companies are expected to practice. This study will be an addition to the existing literature related to the significant role of trust and data security in fintech applications. This study could help industry practitioners and policymakers to foster a secure fintech environment.
Impact of Globalization and Innovation on Pedagogies in Mathematics Classrooms
Authors: Wanjiru Benson Njoroge
Published: July 2024

Today, two vectors shape the world-globalization and technology; the former control the economies, politics, and cultures, and the latter dictate how fast they happen or spread or shared within the global space. The two vectors have had a great impact in the field of mathematics education especially the mathematical objects of content and process. The content strand entails what is taught whereas the process strands entail how the content is taught. This chapter distils the effects of the two vectors on the process strand. The process strand includes problem solving, reasoning and proof, communication, connections, representations and use of mathematical tools. Globalization and technology have influenced the teaching of mathematics in a number of facets that include use of 21st Century teaching methodologies, influence of Artificial intelligence and mathematics education, ICT integration in the teaching of mathematics, communities of practice and assessment.
Globalisation Gender Sensitivity in the Teaching of Mathematics in Higher Education
Authors: Chakabwata William
Published: July 2024

The teaching of mathematics globally at university level, has created an environment that favours the performance of men over women. Men tend to perform better than women at university level. The gender gap has been explained by using biological and social cultural theories. It is also noted that at doctoral level the number of women who earn degrees is very minimal and the women graduates tend to be viewed as less competent when compared with men. The study employs poststructural feminism, socialcultural, and situated learning theories to explore the gender gap in mathematics. Gender stereotypes seem to have a major impact on performance of women in mathematics.
Gender and Innovations in Mathematics Education
Authors: Monyoro Wilfred
Published: July 2024

From 2012 to 2018, pupils taking the Kenya Certificate of Secondary Education (KCSE) routinely performed poorly in Mathematics on a national level in Kenya. In KCSE Test data from 2012 to 2018, it was noted that probability was one of the mathematical concepts that the majority of pupils found challenging. A novel approach that advocates for the incorporation of computer assisted learning methods like simulation has been put out to address the issue. In this study, learner achievement in probability in Mathematics will be compared to computer-based simulation (CBS) effect in public secondary schools in Kisii County. The objective of the study will be to determine the effect of computer simulation (innovation) on students' achievement in probability by sex (mathematics education).
Building a Smart Security Framework for IoT/IIoT
Authors: Bhardwaj Akashdeep
Published: July 2024

The ever-expanding world of IoT and IIoT devices necessitates a robust and adaptable security framework to safeguard these interconnected systems. This chapter outlines the core principles for building such a framework, emphasizing proactive and continuous protection strategies for vulnerability analysis, malware detection, and anomaly detection. The framework foundation lies in conducting thorough risk assessments. By identifying potential vulnerabilities in devices, networks, and protocols, we can prioritize mitigation efforts and the use of secure protocols like TLS (transport layer security) and DTLS (datagram transport layer security) for encrypting data transmission, protecting sensitive information from unauthorized access. Anomaly detection systems identify deviations from normal behavior, while intrusion prevention systems (IPS) actively block malicious network activity. However, security cannot be an afterthought. This chapter emphasizes the importance of integrating security considerations throughout the development lifecycle of IoT/IIoT devices.
User Authentication in the IoT and IIoT Environment
Authors: Mahfouz Ahmed
Published: July 2024

This chapter delves deep into the issue of user authentication in the environment of the internet of things (IoT) and industrial internet of things (IIoT). It's a journey defined by security implications, presented trends, and analyzed conventional practices, all of which set the stage for further examination. The authors explore the challenges and limitations of involving user authentication in the context of interacting ecosystems, and then they dive into the exciting world of the latest advancements aimed at ensuring higher security and privacy. These include blockchain-based tools, multi-modal authentication, and zero-trust paradigms. Also, they navigate the legislative landscape, provide compliance recommendations, and provide relevant tips for the establishment of strong authentication practices. Through captivating case studies and real-world applications, they draw a clear picture of the importance of user authentication in safeguarding IoT and IIoT systems against evolving cyber threats.
Supply Chain Security, Technological Advancements, and Future Trends
Authors: Al-Tamimi Shahad Ammar , Abu Al-Haija Qasem
Published: July 2024

In the digital era, supply chain security (SCS) is paramount for companies, governments, and consumers. Technological advancements, notably IoT and blockchain, enhance supply chain safety and transparency. Blockchain ensures data integrity and traceability, reducing fraud. IoT devices enable real-time monitoring for proactive risk management. Networked sensors provide asset data for preventive maintenance and route optimization. ML and AI algorithms detect security issues, while UAVs and self-driving vehicles enhance logistics. Automated last-mile delivery mitigates human risk. The chapter explores blockchain's role in SCS, addresses challenges, and discusses future advancements to bolster global resilience.
Cybersecurity Strategies for Smart Grids
Authors: Alshra'a Abdullah S. , Muhammad Mamdouh , German Reinhard
Published: July 2024

The incorporation of information and communication technologies (ICT) into power grids has brought a new generation in energy management, known as smart grids. This digital transformation has also raised new challenges to cybersecurity. This chapter presents the architecture and cybersecurity interplay within smart grids, highlights the need to secure critical infrastructure, and outlines the security requirements and the importance of availability, integrity, and confidentiality. Also, it discovers potential cyber-threats and vulnerabilities inherent in smart grids and analyzes historical incidents to provide insight into real-world implications. Moreover, the strategies for safeguarding smart grids components, such as supervisory control and data acquisition (SCADA) and industrial control systems (ICS), are discussed, alongside a unified framework to address privacy concerns. Finally, the chapter predicts future trends, identifies pioneering issues, and draws tracks for continuous research and development to strengthen smart grids' resilience against evolving threats.
Securing Wireless MIMO Systems
Authors: Eltira Khadiga , Younis Abdelhamid , Mesleh Raed
Published: July 2024

This chapter proposes computationally secure physical layer wireless communication for multiple–input multiple–output (MIMO) systems. The algorithm presented is applicable across various MIMO configurations and resistant to attacks. It relies on accurate knowledge of wireless channel characteristics and channel reciprocity. Both transmitter and legitimate receiver generate a permutation vector based on channel fading paths to create the security key. The vast number of potential combinations makes decryption nearly infeasible. Additionally, secrecy rate analysis is introduced, considering space modulation techniques (SMTs) and spatial multiplexing (SMX) MIMO approaches, evaluating mutual information and average bit error rate (ABER) at both ends. Various SMTs schemes including space shift keying (SSK), spatial modulation (SM), and quadrature spatial modulation (QSM) are examined to validate the derived formulations.
Digital Transformation Processes and Organizational Characteristics of Artificial Intelligence
Authors: Adiguzel Zafer
Published: July 2024

In today's dynamic business environment, the need for digitalization and transformation has become imperative for companies that want to thrive amidst technological disruptions. Digital technologies act as catalysts for broader institutional change. From a strategic perspective, the versatility of reorganizations, technological integration and cultural adaptation in companies is also important in terms of digital transformation. It is necessary to master the basic components of the digital transformation process, from technological enablers such as cloud computing and IoT to organizational frameworks such as design thinking. This chapter also includes the concept of digital business strategy, which is a strategic necessity for the effective use of digital technologies while encouraging companies' innovation and customer focus. Additionally, this chapter discusses the organizational features of artificial intelligence (AI) and examines how the adoption of artificial intelligence affects workflows, job roles, and decision-making processes in businesses.
Challenges and Future Directions on Business Intelligence
Authors: Bhambri Pankaj , Khang Alex
Published: July 2024

The landscape of business intelligence (BI) is continually evolving, presenting both unprecedented opportunities and daunting challenges for socio-technical organizations. This proposed chapter delves into the multifaceted challenges faced by businesses in harnessing the full potential of BI systems. Addressing issues ranging from data quality and integration challenges to the ethical considerations surrounding data usage, the chapter navigates through the complex terrain of contemporary BI. As organizations grapple with the ever-expanding volume and variety of data, the need for advanced analytics and machine learning solutions becomes imperative. From the integration of artificial intelligence and natural language processing for more intuitive BI interfaces to the growing importance of explainable AI for transparency and accountability, the chapter provides a forward-looking perspective.
AI Assistants for Tour and Travel Operation
Authors: Talukder Mohammad Badruddoza , Muhsina Kamarun
Published: July 2024

This study examines the role and importance of Artificial Intelligence assistants in transforming tour and travel operations, with the goal of investigating their purpose. AI assistants, utilizing machine learning algorithms and natural language processing, are revolutionizing the way tour and travel companies engage with customers, optimize operations, and make informed decisions. The methodology entails harnessing AI technology to create chatbots, virtual assistants, and predictive analytics tools customized to the industry's specific requirements. Although AI assistants offer advantages, they may encounter constraints such as accuracy challenges, reliance on data integrity, and ethical concerns related to privacy and bias. Recognizing these constraints while capitalizing on the revolutionary capabilities of AI assistants is crucial for tour and travel companies to fully utilize their worth and remain competitive in the changing industry environment.
Unveiling the Essence of Digital Twins
Authors: Mondal Hirak , Siddika Saima , Nag Anindya , Sil Riya
Published: July 2024

A digital twin (DT) can be seen as a tool that speeds up the process of innovation. DT provides numerous advantages by generating a real-time replica of tangible systems. These benefits include faster business processes, higher productivity, and more innovative ideas at lower costs. It is one of the most exciting new digital technologies being worked upon to provide assistance to different types of businesses to go digital and make decisions. The idea of a DT has been around for almost 20 years, but it is still changing as it is used in various fields. This chapter looks at 46 different definitions and research work of DT that have been written in the last 10 years and comes up with a single, more general definition that includes all of them. It also gives a detailed description of the DT and how it differs from other digital technologies. A case study is provided on how DT works and how it can be used, along with discussions on future opportunities of DT.
Challenges and Innovations in Digital Twin Creation
Authors: Ghosh Sanchita , Sarkar Saptarshi Kumar , Roy Bitan , Paul Sreelekha
Published: July 2024

The concept of a “digital twin” is gaining traction across various sectors, involving replicating real-world items into software equivalents. This study explores the evolution of digital twin technology, starting with its inception in the industrial sector, to understand its expected characteristics. Combining IoT and digital twin technologies marks a significant turning point, promising substantial business improvements. The integration enhances decision-making processes and operational efficiency by enabling real-time data collection through sensors, smooth data sharing via communication protocols, and localized data processing through edge computing. Digital twins offer advanced tracking, examination, and modelling of physical entities. This chapter focuses on explaining the merger of IoT and digital twin technologies, aiming to examine recent advancements, analyze integration challenges, and showcase real-world applications and case studies, thereby guiding future research in this field.
Optimize Healthcare Workflows
Authors: Anitha Veeramalla , C. H. Sumalakshmi , Özer Özen Özer
Published: July 2024

Sleeping disorders are a common medical condition affecting individuals of all ages. These disorders can manifest in various ways. One of the most common sleeping disorders among adults, insomnia, affects roughly 33-50% of the adult population and is characterized by difficulties getting to sleep and staying asleep. Insomnia is not only a standalone disorder but also a contributing risk factor for other health issues, including diabetes, obesity, asthma, chronic pain syndrome, depression, anxiety disorders, and cardiovascular illnesses. Moreover, sleeplessness is frequently linked to other mental health conditions like anxiety, depression, and post-traumatic stress disorder. In addition to the physical and mental health implications, insomnia also leads to impairments in daytime functioning and can greatly reduce an individual's quality of life.
Digital Twins for Heart Classification Theory
Authors: Sree M. Swathi , Özer Özen Özer
Published: July 2024

The technique referred to as “digital twins” is becoming more widely used. This study uses keyword co-occurrence network (KCN) analysis to look at how digital twin research has evolved. The authors analyse data from 9639 peer-reviewed publications that were released in the years 2000–2023. Two distinct groups may be formed from the findings. In the first part, they look at how trends and the ways that terms are linked have changed over time. Concepts related to sense technology are linked to six different uses of the technology in the second part. This study shows that different kinds of research are quickly being done on digital twins. A lot of attention is also paid to tools that work with point clouds and real-time data. There is a change towards distributed processing, which puts data safety first, going hand in hand with the rise of joint learning and edge computing. According to the results of this study, digital twins have grown into more complicated systems that can make predictions by using better tracking technology.
LLRBFNN Deep Learning Model-Based Digital Twin Framework for Detecting Breast Cancer
Authors: Srinivasulu B. , Dhanikonda Srinivasa Rao , S. L. Aruna Rao , Mutyala Ravikumar , Sofi Mukhtar Ahmad , Bandi Obula Reddy
Published: July 2024

This study proposes a digital twin framework for healthcare training and diagnostics, using a patient model to identify and group mammo graphic wounds based on the site of examination. The framework uses a local linear radial basis function neural network (LLRBFNN) deep learning model, fuzzy c-means calculations, and beneficial nervous system characterization. The methodology combines surface highlight images and conditions to detect and group malignant breast tumor growth. The study aims to improve strategies for identifying different classes of breast disorders.
Automatic White Blood Cells Counting Using OPENCV
Authors: Telagarapu Prabhakar , Chapa Babji Prasad , Pullanagari Sahithi Reddy
Published: July 2024

Counting the number of white blood cells (WBCs) is a crucial procedure in medical laboratories for diagnosing various diseases. However, manual counting can be time-consuming and susceptible to errors. To overcome this, a research study has proposed an automated approach for WBC counting in sampled images using OpenCV, an open-source computer vision library. The authors developed an algorithm that segments the WBCs from the background by utilizing preprocessing techniques, followed by edge detection (canny edge detection) to identify the cells' boundaries. The number of cells is counted by implementing a simple circular Hough transform method. For this, the authors approached and collected datasets from ALL-IDB team for sampled images to test the proposed method. The proposed method has achieved high accuracy rates and outperformed manual counting in terms of speed and efficiency. The developed approach has the potential to be integrated into existing medical laboratory workflows, automating the WBC counting process and improving the diagnosis and treatment of various diseases.
Exploring the Application of Digital Twin Technology in Investigating the Relationship Between Contraceptive Use and Breast Cancer Incidence
Authors: Bondhopadhyay Banashree , Bansal Hina , Aggarwal Navya , Tanwar Aastha
Published: July 2024

Contraception has long been scrutinized for its impact on women's health, particularly concerning breast cancer risk. The study explores the analysis of digital twin (DT) tools and technologies. Leveraging DTs in healthcare, by integrating medical data and employing machine learning, predictive models can be developed, representing individual patients, assessing the influence of contraceptive methods on breast cancer risk. They may aid in finding associations between specific contraceptive methods and breast cancer incidence. DTs pave the way for the development of smart IUDs/IUSs, which can be termed as “cyclic-release” devices/systems, that could tailor progesterone release based on the phases of the female ovulation cycle, potentially enhancing effectiveness and minimizing side effects. Moreover, real-time monitoring in DTs offer insights into dynamic changes in risk profiles. Thus, DTs may help in personalized contraceptive counselling and preventive strategies, fostering better-informed decision-making and improved health outcomes for women worldwide.
Consumer Policy
Authors: Prabha Chander , Saluja Shefali
Published: July 2024

Consumer policy is designed to protect welfare and rights of consumers. The recent advancements in artificial intelligence (AI) and its integration with the privacy aspects of consumer information need potential attention due to illegal activities in terms of fraud. The rapid progress of AI represents significant risks to safeguarding consumer privacy and ensuring data security. The integration of AI inside several industries, such as e-commerce platforms, and financial technology, has become prevalent. This leads to emphasizing the significance of developing comprehensive legal and regulatory frameworks to address effectively the challenges related to consent, data minimization, accuracy, discrimination, and bias. The chapter explores the concept of AI and its public and private use in consumer policies. The key components are highlighted in making consumer policy along with the relationship between AI and data privacy aspects. Finally, it presents the challenges faced by consumers in accessing vital information, that lead to imbalances between companies and customers.
Nanostructured Heat-Resistant Glass-Ceramic Coatings for Corrosion Protection of Aircraft Engine Components Made From Heat-Resistant Alloys
Authors: Savvova Oksana , Voronov Hennadii , Fesenko Oleksii , Babich Olena , Pylypenko Oleksii , Tsegelnyk Yevgen
Published: July 2024

The chapter emphasizes the critical need for advanced heat-resistant coatings in aerospace, particularly aircraft engines, to meet rising demands for superior operational materials. Current alloys lack corrosion and oxidation resistance, leading to wear from chemical exposure, erosion, and thermal shock. Effective coatings provide protection against these challenges while regulating heat transfer and thermal radiation. Nanostructured coatings, especially glass-ceramic based ones with self-healing properties, offer solutions. This study develops nanostructured coatings using various glass frits and fillers to withstand temperatures up to 1000°C. Research elucidates structure formation mechanisms, highlighting high strength and heat resistance. Modification with refractory oxides forms dissipative sitallized structures, ensuring superior operational properties. Collaboration with Odesa Aviation Plant SE underscores practical application in protecting aircraft engine parts, advancing aerospace technology.
Optimizing Cadet Squad Organizational Satisfaction by Integrating Leadership Factor Data Mining and Integer Programming
Authors: Kim Hyunho , Lee Eunmi , Cha Sang-Yoon
Published: July 2024

Military academy cadets reside in a brigade organized by cadets. Despite its importance, squads have traditionally been organized based on the personal preferences of the fourth-year squad leader without considering the compatibility of the squad members. This study proposes a more scientific approach to increase cadet satisfaction with their squads and foster their leadership development. Initially, a multiple linear regression analysis was conducted to identify the leadership factors of squad leaders that significantly affect squad organizational satisfaction. The model maximized the sum of the factor scores among squad leaders to enhance squad organizational satisfaction and maximized the difference in factor scores to improve the effectiveness of leadership discipline. Applying the squad formation algorithm to data from cadets at the Korea Military Academy revealed that the squad organizational satisfaction and leadership discipline effectiveness were significantly increased compared to the existing squad formation methods.
Optimizing Operational and Sustainable Decisions for GASC
Authors: Zhou Linrong , Wei Guangxing , Feng Mengying
Published: July 2024

This study delves into the operational decision-making and sustainability dynamics within a two-tier green agricultural supply chain (GASC), comprising a manufacturer and a retailer. By developing decision models for the manufacturer, both with and without outward altruism, we explore the intricate interplay of government subsidies, consumer green preferences, and manufacturers' altruistic behavior influencing operational efficiency and sustainability within the GASC based on the Stackelberg Game. Our findings underscore the intricate relationship between these factors and the retail pricing of green agricultural products. Specifically, we demonstrate that while the manufacturer's outward altruism is significant, the combined effects of government subsidies and consumer preferences exert substantial influence on pricing strategies. Moreover, we reveal that government subsidies, consumer preferences for sustainability, and manufacturers' altruistic actions collectively bolster the economic, environmental, and social dimensions of sustainability within the GASC.
Construction Cost Optimization of Prefabricated Buildings Based on BIM Technology
Authors: Fang Liwei , Arakawa Masahiro
Published: July 2024

Prefabricated assemblies are popular in the construction industry due to their minimal carbon footprint, enhanced safety, and reliability. A combination of software, including Revit, Navisworks, and Practical Structural Design and Construction (PKPM) software, is used to reduce costs by refining the specifications and dimensions of components, streamlining the variety of molds, enhancing design performance through rigorous component collision inspections and structural optimization, and ensuring cost-effectiveness. The integration of building integration modeling (BIM) visualization significantly diminishes errors attributable to information asymmetry and minimized material wastage stemming from production inaccuracies. The implementation of a Radio Frequency Identification (RFID) information exchange platform enables real-time component tracking, provides insights into the transportation dynamics of these components, and facilitates cost optimization during the transportation phase. Moreover, simulations conducted using Fuzor software preemptively identify potential construction site issues. There is a substantial cost savings of 710,000 yuan.
Research and Application of University English Writing Teaching Reform Based on Data Mining
Authors: Li Huasu , Li Jingjing
Published: July 2024

Based on big data mining and learning analysis technology, this paper systematically summarizes the theoretical basis of network-based college students' English writing skills training mode and discusses the reform and application of college English writing teaching. By mining network data, establishing corresponding writing training database and writing corpus, and at the same time strengthening writing teaching methods with the help of existing network corpus. Students learn through reading, imitation and innovation in the course, and receive psychological and motivation training. The research shows how data mining ability can test the data production ability of front-line authors, and test the ability of front-line teachers to cultivate students' autonomous learning and self-adaptation. It is emphasized that this teaching mode updates the knowledge structure of front-line teachers and cultivates new teachers who combine knowledge with technology. By providing innovative methods to optimize the teaching process, it is expected to effectively improve students' writing ability.
Impact of Generative AI on Enterprise Performance in China
Authors: Ye Jing , Wang Shuyang , Tsai Sang-Bing
Published: July 2024

This study examines the impact of generative artificial intelligence (GAI) on Chinese enterprises. 320 participants completed electronic surveys, revealing a positive relationship between GAI and corporate performance. Managerial relationships were found to play a crucial role, mediating the influence of GAI on performance. Additionally, the speed of technological change in the industry was identified as a moderator, highlighting the dynamic nature of GAI's impact on managerial relationships and firm performance. These findings underscore the strategic importance of GAI in cultivating managerial relationships and improving enterprise performance, deepening our understanding of the integration of advanced AI technologies and management practices in the Chinese market. Practical implications are offered for decision-makers in technology-intensive industries, providing valuable insights for leveraging GAI to gain a competitive edge and achieve sustainable growth in a rapidly evolving technological landscape.
Moving Toward Economic and Digital Sustainability in Marketing Analytics
Authors: Haverila Matti , Al-Azad Md. Samim , Haverila Kai Christian , Mohiuddin Muhammad , Su Zhan
Published: July 2024

Despite analytical advancements, firms have yet to realize the full potential of big data marketing analytics (BDMA) because the poor quality data restricts customer predictions and insightful decisions. Technology and market uncertainty create challenges in understanding business needs, choosing analytical tools, determining customer insights, and market trends. This study aims to assess the quality of marketing analytics, including technology and information quality. Data were collected from 236 North American respondents working in firms with at least limited experience in the deployment of BDMA. The analysis tool was PLS-SEM. The findings supported the hypothesis that technology and market uncertainty negatively influence the quality of analytical outcomes. This study makes a significant theoretical and methodological contribution to BDMA literature by assessing the quality of analytics as an integrated formative construct.
Carbon Fiber/Epoxy Vitrimer Composite Material for Pressure Vessels: Towards Development of Sustainable Materials
Authors: Nartam Sudhanshu , Budhe Sandip , Paul Jinu
Published: July 2024

The main aim of the research work is to develop a sustainable vitrimer composite that can be easily recyclable and reusable carbon fibre for secondary applications. Vitrimer materials provide opportunities for recycle thermosets and CFRP composites, however, the retained properties of composite still limit their applications. In this research work, the focus is to investigate material properties of vitamer/carbon fiber composite and the retained properties after recycling of the same. A vitrimer material has been developed using an epoxy (EP) matrix and bio-based curing agent and citric acid (CA), and finally reinforced with carbon fibre. The vitrimer materials were prepared with varying ratios of acid to the epoxy ratio between 0.30 and 0.40 to prepare the best performance vitrimer. Fourier transform infrared (FTIR) spectrometry was conducted in Transmittance mode over a range of wavelengths from 400 to 4000 cm-1. The mechanical testing carried out at room temperature under tensile loading. Results found that the Vitrimer composite could be effectively dissolved in DMF, enabling the recovery of the carbon fibers. The results of the study indicate that the EP/CA vitrimers exhibit thermomechanical properties that are comparable to those of the epoxy vitrimer cured using a petroleum-based curing agent. The most important results that demonstrate the use of EP/CA vitrimers may be a promising alternative to traditional epoxy composites in various applications.
Development of Wood-Plastic Soil Tray Composite (WPSTC) Using Polymerized Coir-Wood Dust for Green Roof Structures
Authors: Del Pilar Hermie M. , Gacutan Wilfredo G.
Published: July 2024

Green roofs have been introduced for sustainable buildings in many countries with different climatic conditions. Studies show that it is an efficient and practical tool to combat the ill effects of urbanization. Installing a green roof system involves growing vegetation on rooftops and is used as a tool to help mitigate the negative effects of pollution. Green roofs may not act as cooling devices but obviously serve as heat insulation, reducing the heat flux through the roof. In this study, the proponents explore possibilities in developing a green roof system by utilizing wood-plastic materials to create soil trays where roof grass can be cultured and can be interconnected on roof areas. The study highlights the properties of the materials to be utilized in the design of soil trays, the schematic design of the wood-plastic soil tray composite (wpstc) and the green roof design for efficiency and functionality test were also presented. The physical and mechanical properties of the polymerized coir-wood boards for soil trays were assessed by determining its water absorption, thickness swelling, modulus of rupture and impact strength. The succeeding phase of the study which describes the energy efficiency test, and the functionality test was also disclosed in the summary of this paper.
Impact of Environmental Knowledge on Green Purchase Intention: Examining the Mediating Effect of Young Business Executives’ Attitudes Towards Green Products in Developing Country Context
Authors: Cooray W. H. H. , Patabendige S. S. J. , Mirando U. J.
Published: July 2024

Green purchasing behavior, characterized by acquiring and consuming environmentally friendly products, has gained significant attention in recent years. However, scholars posit that transitioning to "going green" necessitates a fundamental shift in consumer behavior patterns. This study aims to enhance the understanding of green purchasing behaviour among young business executives (aged 24-39) in Sri Lanka's Western Province. It investigated the combined influence of environmental knowledge (both subjective and objective) and attitudes towards green products on green purchase intention. Specifically, the study examined the direct relationship between subjective and objective environmental knowledge with green purchase intention and the potential mediating effect of attitudes toward green products on this relationship. Employing a survey-based methodology, questionnaires were distributed through a convenient sampling technique to the target population within the Western Province. Data analysis utilized correlation and regression techniques via SPSS 26 software. The findings reveal that objective environmental knowledge exerts a greater influence on green purchasing decisions than subjective environmental knowledge. It is also found that more than environmental knowledge directly translating into green purchasing intention, it is the attitudes of the decision-makers toward the environment that act as a conduit. These findings, therefore, yielded valuable insights for marketers and others interested in promoting green consumption, empowering them to make informed decisions and develop effective strategies.
Erratum - MMP-7 is upregulated by COX-2 and promotes proliferation and invasion of lung adenocarcinoma cells
Authors: Zhang J. , Luo J. , Ni J. , Tang L. , Zhang H.P. , Zhang L. , Xu J.F. , Zheng D.
Published: July 2024

This corrects the article published in the European Journal of Histochemistry 2014;58:2262. doi: 10.4081/ejh.2014.2262
Isolated Superior Mesenteric Artery Dissection Following Gonadotropin-releasing Hormone Analog Administration
Authors: Dong Zhen-Yu , Yusup Muyassar , Lu Yan-Mei , Tang Bao-Peng
Published: July 2024

In this article, we report the case of a patient with isolated superior mesenteric artery dissection (ISMAD). The patient presented with abdominal pain, but all the routine tests were negative. ISMAD was diagnosed by computed tomography angiography. She was treated conservatively. After 2 days of fasting, the patient gradually started to eat liquid food and the abdominal pain symptoms did not recur. We then followed her for 6 months, during which there was no recurrence.
The Ruby-Hued Elixir: Exploring the Preparation and Standardization of Rasamanikya
Authors: Ranade Manjiri
Published: July 2024

Background:

Ayurveda, an ancient medicinal system, has utilized metals and minerals in internal medicine since ancient times. One such formulation, Rasamanikya, is renowned for its efficacy in treating various diseases. This study explores the preparation and standardization of Rasamanikya using the traditional Abhraka patra method with two purification media used for Haratala Shodhana:Churnodaka and Kushmanda Swarasa. The objective is to provide insights into contemporary practices and evaluate the differences in elemental compositions between Rasamanikya A and Rasamanikya B. Materials and Methods: The study comprised two phases: A pharmaceutical study for Rasamanikya preparation and an analytical study during the process. Raw materials were sourced from genuine local origins and authenticated.

Materials and Methods:

The study comprised two phases: a pharmaceutical study for Rasamanikya preparation and an analytical study during the process. Raw materials were sourced from genuine local origins and authenticated. The Shodhana process involved Swedana of Haratala using Churnodaka and Kushmanda Swarasa as media. Rasamanikya was prepared using the aforementioned two samples of Shodhit Haratala with Abhraka patra method. The final products in each step were characterized using physicochemical and quantitative analysis.

Results:

During Churnodaka Shodhana of Haratala, the pH of media decreased from 12 to 9.3, while during Kushmanda Swarasa Shodhana of Haratala, it increased from 5.2 to 6.43. Both methods successfully purified Haratala, as there is a significant difference seen analytically after Shodhana, reducing arsenic and sulfur percentages as well as based on characteristics of purified Haratala. Rasamanikya A showed a higher loss in weight than Rasamanikya B. Analytical studies revealed elemental composition differences between the two preparations.

Conclusion:

This study sheds light on the traditional preparation and standardization of Rasamanikya using the Abhraka patra method with two purification media. The pharmaceutical and analytical studies demonstrated the effectiveness of the Shodhana process in purifying Haratala, with significant differences observed in elemental compositions between Rasamanikya A and Rasamanikya B. These findings contribute valuable insights into contemporary practices within Ayurveda, emphasizing the importance of precise methodologies for the formulation of medicinal compounds.
GIS for Real-Time Mapping in Field Surveys
Authors: Palal Deepu , Verma Prerna , Jadav Vallari , Sohkhlet Gracia , Rathod Hetal , Desale Atul , Jadhav Sudhir L , Johnson Subash , Nallapu Sandeep , Borah Nirankush
Published: July 2024

ABSTRACT

Context:

A geographic information system (GIS) is a framework for gathering, managing, and analyzing data. Department of Community Medicine was tasked with SARS-CoV2-IgG antibody serosurvey by Pimpri Chinchwad Municipal Corporation, sampling 5000 people spread over an area of 181 sq. km. There were no real-time mapping apps available for field surveys.

Aims:

Our aim was to develop an easy-to-use GIS system with a shallow learning curve and real-time mapping for field surveys which could be easily deployed.

Materials and Methods:

The program was developed using PHP hosted on a virtual private server and using Google Maps Application Programming Interface (API). The field investigator shares location through telegram to a bot which parses message, decodes geo-coordinates, team information, and time stamp. The program then passes the information for further processing, viewing, or analyzing. The map is generated using Google Maps API at user request. The teams are segregated using color coding.

Results:

The data can be accessed at http://test.techlabel.in/. Over 638 households from which samples were taken were plotted by the data from ten teams over ten days. Real-time feedbacks were possible as the study progressed. Households plotted on the maps were verified by the respective field investigators after the study had completed and showed good accuracy.

Conclusion:

The introduction of GIS software such as ours could bring about a positive impact on small- and medium-scale field researches. The quality and internal validity of small-scale field researches could certainly be improved by using GIS programs.
Health Literacy Among General Adult Population of Bishnupur, Manipur: A Cross-Sectional Study
Authors: Fernandez Sandra , Dhinu K , Gupta Avantika , Shantibala K , Laikhuram Priya , Takhellambam Gitanjali
Published: July 2024

ABSTRACT

Background:

Low level of health literacy is a public health problem. By improving people’s access to health information, and their capacity to use it effectively, health literacy is critical to empowerment. This study was conducted to assess the health literacy of the adult population in the Bishnupur district of Manipur and to determine its association with socio-demographic factors.

Methods:

A cross-sectional study was conducted among general adult population of Bishnupur district. Data were collected using a validated structured questionnaire-Health Literacy Survey-European Union Questionnaire (HLS-EU-Q16) using Google Form from 576 participants selected by stratified multistage cluster sampling with proportional allocation. Descriptive statistics, Chi-square test, and multivariate logistic regression were applied using SPSS vn. 26, and P < 0.05 was considered statistically significant.

Results:

Median age of the participants was 43 (32–53) years, and half of them were females. Among the participants, majority, 514 (89.2%) had inadequate health literacy. Being employed [aOR: 0.470 (0.227-0.973)], having no formal education [aOR: 0.097 (0.011–0.845)], educated up to primary school [aOR: 0.111 (0.013-0.933)] or secondary school [aOR: 0.258 (0.082-0.806)] had lesser odds of having adequate health literacy. Fair self-perception of health [aOR: 10.098 (1.176-86.736)] had higher odds of adequate health literacy.

Conclusions:

Nine out of ten participants had inadequate health literacy. Measures to improve health literacy should be taken as it is an important determinant of health.
Cytomorphological Study of Fluid Aspirates: Comparison between Conventional Cytology Smears and Cell Blocks
Authors: Bindu Rajan S. , Sharma Pratiksha V. , Sawant Rashmi G. , Bhosale Anand A.
Published: July 2024

ABSTRACT

Introduction:

Conventional cytology smear method and cell block method are two important methods used for cytological diagnosis. Limitations of conventional smears have to be dealt with daily while reporting cytology. Despite the many advantages of the cell block method, it has been an underestimated diagnostic tool. The purpose of this study is to compare conventional smears and cell block preparations with different parameters and find out which one is more effective in evaluating body fluids.

Materials and Methods:

Sixty body fluids were studied by the conventional smear method and cell block method. Data were tabulated and analyzed.

Results:

The cell block method showed a significant increase in cellularity (83.3%) compared to the conventional method (50%) [P = 0.0001, significant]. The limitation of low cellularity was significantly reduced by the cell block method (8.3%) as compared to conventional smears (33.3%) [P = 0.0007, significant]. Morphology preservation was significantly more by cell block method (95%) versus conventional smears (60%) [P = 0.00001, significant]. The yield of malignancy increased by 3.33% in the present study. Suspicious cases on conventional smears could be confidently segregated as malignant or benign by the cell block method.

Conclusion:

The cell block technique should be routinely used along with conventional smears to improve diagnostic accuracy and resolve diagnostic dilemmas on conventional smears.
The Association of Brixia Scoring with the Clinical Severity and Need for Invasive Ventilation in Covid-19 Pneumonia Patients - A Prospective Cross-sectional Study
Authors: Narayan Ashok , Sen Debraj , Reshma J , Kumar Praveen , Goel Rahul , Garg Anurag , Dhagat Brig P. K.
Published: July 2024

ABSTRACT

Imaging is essential for managing COVID-19 pneumonia. In resource-limited settings, chest radiography is the only practicable imaging modality. The Brixia radiographic scoring system, an objective method of assessing pulmonary involvement, is yet to be studied in India. (a) To study the association between the clinical severity of COVID-19 patients with their Brixia scores and, (b) to evaluate the utility of the score as a predictor for invasive ventilation. Peripheral rural hospital by Indian Armed Forces; Cross-sectional study. A thousand patients diagnosed with COVID-19 and hospitalized were classified as having a mild, moderate, and severe disease based on their least oxygen saturation (SpO2 >94: mild, between 90-94: moderate, and <90: severe) recorded. The highest Brixia score was calculated for each patient. The mean Brixia scores of the three groups were compared. The Brixia score of each intubated patient was calculated as was the mean score of all intubated patients. Statistical analysis was performed on SPSS software. Seven hundred fifty-six (756) patients were classified as mild, 104 as moderate, and 140 as severe with a mean Brixia score of 0.12, 2.35, and 10.9, with a standard deviation of 0.66, 2.98, and 2.66, respectively. The difference in means between these groups was statistically significant (p < 0.0001). The median Brixia score of 13 for the intubated patients was significantly higher than for the non-intubated. The clinical severity of the patients and their requirement for invasive ventilation correlated well with their Brixia scores. The Brixia system may be usefully incorporated into our Medicare systems.