Implications Of Technology Research Articles

Library Music in Digital Media

The Introduction falls into three sections. The first presents the historical context for the collection and the themes that unite the articles, and provides summaries for each of the articles. The second section deals with the complex web of terminology surrounding ‘library music’, in its historical, theoretical, and practical aspects, with an emphasis on the implications of digital technology. The final section reviews the academic literature about library music, considered from the perspectives of categorisation and tagging, industry and labour, television studies, and historical approaches.

Digital Transformation in Financial Reporting: How AI and Blockchain Are Shaping Transparency and Efficiency in Corporate Accounting

The digital transformation of financial reporting has emerged as a critical paradigm shift in corporate accounting, driven by the revolutionary technologies of Artificial Intelligence (AI) and Blockchain. This qualitative research employs a comprehensive literature review methodology to examine how these emerging technologies are fundamentally reshaping transparency, efficiency, and reliability in corporate financial reporting processes. Through systematic analysis of peer-reviewed journals, academic publications, and industry reports published within the last five years, the study explores the multifaceted implications of digital technologies on accounting practices. The research investigates the transformative potential of AI and Blockchain in addressing traditional challenges such as data integrity, real-time reporting, fraud prevention, and regulatory compliance. By synthesizing insights from interdisciplinary perspectives, including accounting, computer science, and organizational management, this study reveals how these technologies are creating unprecedented opportunities for enhanced financial transparency and operational efficiency. Key findings demonstrate that AI-powered algorithms can significantly improve financial data analysis, predictive modeling, and risk assessment, while Blockchain technology offers immutable, decentralized record-keeping that minimizes manipulation and increases trust. Moreover, the study critically examines the implementation challenges, technological infrastructure requirements, and potential organizational resistance to these digital innovations. The research provides a comprehensive framework for understanding the strategic integration of AI and Blockchain in financial reporting, offering valuable insights for corporate leaders, accounting professionals, and policymakers seeking to navigate the evolving digital landscape of corporate financial management.

Hyper-Personalization in Retail: Leveraging Data Science and Real-Time Streaming

Personalization has transformed from a luxury feature to a fundamental business necessity in today's digital retail landscape. This comprehensive article explores the evolution from traditional personalization to hyper-personalization, examining the retail sector's technological components, practical applications, and future implications. The article investigates how advanced technologies, including artificial intelligence, machine learning, and real-time data streaming, enable retailers to deliver highly individualized customer experiences. Through a detailed examination of implementation strategies, benefits, and impacts, this analysis demonstrates how retailers leverage sophisticated data science frameworks and dynamic experience customization to enhance customer engagement, improve operational efficiency, and drive business growth. The article particularly highlights the transformative impact of hyper-personalization in specific retail segments, such as apparel, while also exploring the quantifiable benefits for retailers and customers.

FinTech as a digital innovation in microfinance companies – systematic literature review

PurposeThe main purpose of the paper is to identify the most important directions of research to date and to indicate new, emerging areas of research concerned with application of financial technology (FinTech) solutions in microfinance companies.Design/methodology/approachThis paper systematically reviews the literature on FinTech in microfinance, highlighting its role in enhancing operational efficiency, customer experience and financial inclusion through technologies like blockchain and AI. Despite these advancements, significant gaps remain in understanding the key drivers of FinTech as a digital innovation, most important direction of research to date and emerging areas for future research in microfinance literature. This paper has attempted to systematise the results of the research carried out so far, based on the publications indexed in the Web of Science and Scopus databases, using selected multidimensional statistical methods.FindingsThe findings identify key themes, gaps and future research directions, shedding light on the strategic implications of digital technology in microfinance. This comprehensive analysis significantly advances the understanding of how FinTech enhances microfinance management operations and objectives, contributing to both academic discourse and practical applications.Originality/valueThe research’s novelty lies in its focussed exploration of digital innovation within microfinance, an area that remains relatively underexplored. No similar paper was found during the literature review.

Automation and disappearing routine occupations in Japan

We examine the implications of automation technology in Japan since 1980, comparing different local labor markets with different degrees of automation exposure. First, we do not find evidence that automation reduces employment rate within demographic groups and automation encourages workers to move from regular to non-regular employment. Second, we show that automation shifts employment from routine occupations in the manufacturing sector to service sectors, while increasing the share of establishments and sales in the manufacturing sector. Finally, we show that this shift in labor demand is attributed to younger generations and non-college-educated workers.

Light-propelled dimeric micro-rotor in a binary critical mixture

Industrial motors produce either linear or rotational motion, and enabling these engines on micrometer scales would have significant technological implications in the biomedical, biochemical, nanoscience, and nanotechnology areas. In this paper, we report a colloidal dimeric micro-rotor consisting of a pivot particle (isotropic dielectric particle) joined to a carbon Janus particle (anisotropic particle) embedded in a critical mixture. The two particles forming this dimer are trapped and illuminated by an optical tweezer, respectively. The carbon Janus particle heats its surroundings, producing a demixing flow that results in directed rotational motion. The pivot ensures the stability of the dimer’s rotation motion, allowing for a clean circular trajectory with low dispersion between cycles. This system converts thermal energy from the absorption of light by the carbon Janus particle into mechanical rotational work. By adjusting the laser power input energy, we obtained rotational work values ranging from 3300 to 270 kBT per cycle. However, there is a limit in the laser power that induces rotation, which depends on the balance between trapping and demixing forces required for stable rotation. This paper provides an efficient method to construct a rotational micro-rotor with a stable motion (standard deviation = 0,03 µm) for nano and micro devices.

Leveraging Artificial Intelligence (AI) Technology for Enhanced Border Surveillance at the Malaysia-Thailand Land Border

Despite various initiatives taken by the government, Malaysia shows a trend of increasing migrant smuggling. Weaknesses in the border control management have resulted in the escape of smugglers at the border gate. Thus, this article aims to assess the potential application of artificial intelligence (AI) technology at the Malaysia-Thailand land border in enhancing border security. Based on a series of interviews with relevant ministries, enforcement agencies, technology experts, academic experts and other stakeholders, as well as secondary sources, this study found that AI technology has the potential to overcome issues pertaining to weak border control management faced by the Royal Malaysian Police (RMP), the main enforcement agency that manages the Malaysia-Thailand land border along with other enforcement agencies. Among the issues are a lack of enforcement, integrity concerns and limited manpower to control Malaysia’s porous borders. However, some strategies should be taken to adapt AI to our border security system. Thus, this article analyses the concept of Integrated Border Management (IBM) to obtain coordination and cooperation among all relevant authorities and countries involved in the adaptation of AI technology at the Malaysia-Thailand land border. This article also analyses how Malaysia should respond to the ethical implications of AI technology. This study will help promote a cross-border collaboration network between Malaysia and related foreign countries in dealing with migrant smuggling issues.

Exploring the Potential of AI algorithms in social media interactions: A hypothetical application owner's perspective

This exploration delves into the feasibility of using AI algorithms to facilitate personalized interactions on social media platforms, such as ‘'Formerly Twitter'’ , by analyzing likes, replies, and comments. The premise is that the owner of a hypothetical application could leverage AI to interpret a user's digital footprint, gaining insights into their personality through natural language processing of tweets and comments. This analysis could then enable the application to initiate personalized conversations and notifications, akin to a "rabbit hole" experience from the Matrix, creating a deeply engaging and individualized user journey. The potential and ethical implications of such technology are considered, highlighting the balance between innovation and privacy.

Digital Dependencies: A Descriptive and Comparative Analysis of Technological Habits and Health Implications among College Students

Abstract—During recent years most of us started to use the smart technologies and electronic gadgets even to fulfill every day-to-day life activities. This will help the human society in a great deal especially in the situation like COVID 2019. During the past five years especially the technology usage grows to a greater extent due to this COVID situation. Even now it extends to maintain the same level of technology usage. It is the right time to decide whether we have to continuously use the smart technologies or not, and it is friutful to discuss whether it has create any health implications to the human society. This research study tries to analyze this fact using the sample students’ data. The results show that there is a little health impact issue due to the usage of technology and a few number of recommendations is given to avoid health implications due to the usage of technology. Index Terms—device usage pattern, health implication, time spent for technology, mobile phones, smart devices

AI in Architecture and Urban Design and Planning: Case studies on three AI applications

The use of artificial intelligence (AI) in the built environment is changing traditional methods by improving sustainability, efficiency, and innovation. This study examines the positive and negative aspects of adopting three AI technologies to improve design and planning processes: PlanFinder, TestFit, and Luma. PlanFinder's ability to generate multiple options for design in just a couple of seconds benefits both professional and beginner designers which is speeding up the creation of building designs. TestFit simplifies urban planning by swiftly generating site designs that consider cost and zoning which is allowing urban planners and real estate developers to make informed decisions. Luma enables the creation of realistic 3D animations from a simple models to enhance project visualization and presentation quality. While these technologies provide major benefits to save time, lowering down costs, and allowing for greater experimentation, they also have drawbacks. These include dependency on accurate data, limited modification choices and potential compatibility issues with complex projects. Furthermore, the use of AI brings questions regarding the ethical implications of technology and its impact on the labor force. This study offers a helpful perspective for educators, architects, urban planners and designers considering using AI into their work.

High storage capacity and rapid methane hydrate formation using low concentrations of a new surfactant: A mimic of SDS and amino acid scaffold

The development of efficient, non-foaming promoters is essential for advancing the industrial applications of solidified gas hydrates in carbon capture, natural gas storage, and transportation. In this study, a novel surfactant, containing sulfonate, amide, and carboxyl groups (SSAC), was introduced as a promoter for methane hydrate formation. SSAC was synthesized by integrating the chemistries of amino acids and sodium dodecyl sulfate (SDS), distinguishing it from existing promoters. High-pressure autoclave experiments demonstrated that SSAC significantly enhanced the kinetics of methane hydrate formation, at a low concentration of 5 ppm, achieving a maximum water-to-hydrate conversion of 85.2 %, equivalent to a storage capacity of 163.5 v/v in deionized water. Increasing the SSAC concentration to 500 ppm resulted in an impressive conversion rate of 94.6 % and a storage capacity of 181.6 v/v. Methane recovery was accomplished without foaming within 15 min during hydrate dissociation at room temperature, addressing a critical challenge in current hydrate-based storage systems. Molecular dynamics simulations further revealed that SSAC molecules act as collectors for methane molecules in solution, thereby enhancing the rate of hydrate growth and increasing the number of hydrate cavities. Notably, SSAC exhibited a biodegradation level of 41 % after 28 days, indicating its potential for natural degradation and environmental compatibility. This combination of low concentration efficiency, foam-free formation, environmental sustainability, and enhanced methane collection is unprecedented in the current literature, highlighting the innovative nature of this work. These findings suggest that the integration of amino acid structures with anionic surfactants offers a promising strategy for designing effective promoters, with significant implications for energy storage, seawater desalination, and carbon capture technologies.

DISRUPTIVE TECHNOLOGIES FOR EDUCATIONAL INNOVATION IN DELTA STATE AND ITS CYBER SECURITY IMPLICATIONS: A POST COVID-19 ASSESSMENT

Technology is everywhere and it’s changing the way things work, hence it is disruptive depending on its application and context. Disruptive technology introduces new markets and modifies existing ones, providing end users with better access, convenience, empowerment, choice, and value as well as competing with established models and practically transforming products and services. The COVID-19 pandemic necessitated a rapid shift to remote learning and the adoption of disruptive technologies in educational institutions worldwide, including Nigeria. Despite this, there is limited evidence investigating how different disruptive technologies and configurations associate with cyber security within the educational sector. This research work examines the association of disruptive technology and cyber security implications in the Delta State educational system during the post COVID 19 pandemic period. A cross sectional approach was used for data collection through questionnaires where 55 responses out of 80 respondents from some selected schools in Delta State were used. The results confirm some cyber threats on using disruptive technology in e-learning as phishing and identity theft. The respondent’s level of online satisfaction, cyber security awareness and performance was significantly associated with various independent variables such as e-learning platforms, online interaction, and privacy concerns. An understanding of these relationships will help educators and other stakeholders to prioritize legislation and regulations that will address such developments. The aim should not to over-regulate and consequently strangle them, but to envisage change, prepare for it, and set up appropriate regulatory frameworks to ensure societal balance.

Approaching ethical issues in the developmental biology classroom

Over the past decades, Developmental Biology has been moving steadily from a rather academic subject to an increasingly practical discipline. It has played a role in the development of contraceptive and conceptive (e.g. in vitro fertilization) technologies. The advent of embryonic (ES) and induced pluripotent stem (iPS) cells and advances in organoids, embryoids, and human-non-human chimeras offer promises and ethical challenges. Courses in developmental biology provide both opportunities and challenges for discussing the societal and ethical implications of new technologies. Here we present outcomes of a Society for Developmental Biology workshop on “teaching ethical issues in developmental biology.” We point out important considerations and possible approaches, as well as the need to set boundaries on discussions of the critical issues posed by the new science of embryonic engineering.

Imaging Brain Tissue with Quantum Light at Low Power.

Light-induced tissue damage is a crucial limitation for traditional microscopy of the living brain, underscoring the need for new techniques that minimize exposure of samples to light. Here, we tested the hypothesis that quantum light, i.e., entangled photons, could detect brain structures at a lower excitation energy. In a proof of principle, we show microscopic images of fixed brain tissue in the hippocampus area created by fluorescence selective excitation in the process of entangled two-photon absorption in a scanning microscope. Quantum-enhanced entangled two-photon microscopy (TPM) had brain imaging capabilities at an unprecedented low excitation intensity of ∼3.6 × 107 photons/s, orders of magnitude lower than the excitation level for the classical two-photon fluorescence image obtained in the same microscope. The extremely low light probe intensity demonstrated in entangled TPM is of critical importance in the investigation of neural activity to minimize heating and photobleaching during repetitive imaging. It may have important functional implications in optogenetic technology, removing unintended heating and accumulated photodamage effects. This technology also opens avenues in spatially resolved brain tissue investigations with quantum light, providing new capabilities in local spectroscopy.

Generative Artificial Intelligence (ChatGPT‐4) and Social Media Impact on Academic Performance and Psychological Well‐Being in China's Higher Education

ABSTRACTThe rapid advancement of generative artificial intelligence (GAI) and the extensive use of social media have transformed how students engage with educational materials and interact with their peers. Collaborative learning (CL) platforms, empowered by artificial intelligence (AI) algorithms, have gained popularity due to their potential to enhance learning outcomes and provide personalised educational experiences. This research examines the effects of generative AI (ChatGPT‐4) and social media use on young students' academic performance and psychological well‐being, focusing on CL. The study conceptual framework was examined based on a sample of 441 Chinese university students. The statistical technique PLS‐SEM is put into practice to measure the structural framework of academic performance and psychological well‐being. The findings of this study show that generative AI (ChatGPT‐4) and social media positively influence young students' academic performance and psychological well‐being. Additionally, the results of this research study show that CL positively mediates between social media, academic performance and psychological well‐being. Conversely, it negatively mediates the association between generative AI (ChatGPT‐4), academic performance (AP), and psychological well‐being. The findings can facilitate a better understanding of the implications of technologies in the educational context and subsequently aid in formulating evidence‐based strategies to optimise their impact on students's academic success and well‐being.

From How Much to Whodunnit

The arrival of ChatGPT and other generative AI (genAI) tools has ushered in a new era in education and presented significant challenges to academic institutions. It has also delivered new concerns for educators who seek to support, and to certify, students’ learning. In addition, the potential and in some cases the necessity for students to learn to engage these new tools in preparation for future work in a professional or research context is emerging apace. This raises important questions for the form and focus of student learning in higher education. It also calls for guidance for educators, especially those who may not be familiar with the operation or implications of these new technologies for their teaching. This paper presents an innovative typology for designing assessment in this context, and that offers language to discuss academic integrity issues and to authorise AI use. The typology draws on and extends scholarship related to groupwork, considering the role of the genAI as a ‘group member’. It provides examples of related approaches to assessment design, and of level descriptors that educators may use as a basis for rubrics to recognise and define the qualities of good student use of genAI tools in this context.

Teleoperated forwarder with VR: impact of latency on operator log handling performance

ABSTRACT This study uses a full scale cut to length forwarder prototype to explore crane log handling during teleoperation (remote-control). Visual feedback is provided from stereo cameras into a VR headset. Details of the system are provided along with measurements on key properties. The system allows for an artificial latency (the delay between a command and the observed response) to be introduced. A setup to allow repeated crane operations is used to evaluate operator performance at different latencies and also to compare teleoperation with in-machine operation. The results indicate that teleoperation of crane log handling can achieve comparable performance to traditional in-machine operation. Notably, the performance is consistent even at transmission latencies that surpass those expected in 4 G internet connections. This suggests a potential for remotely operating forwarders from both on-site and potentially off-site locations. This research did not delve into actual forwarding work or the implications of wireless connection bandwidth or alternative technologies like Wi-Fi or 5 G. Future investigations should consider these factors, along with the requirement for enhanced camera systems to ensure holistic machine visibility and consequently, safe teleoperation.

AI in Cytopathology: A Narrative Umbrella Review on Innovations, Challenges, and Future Directions.

The integration of artificial intelligence (AI) in cytopathology is an emerging field with transformative potential, aiming to enhance diagnostic precision and operational efficiency. This umbrella review seeks to identify prevailing themes, opportunities, challenges, and recommendations related to AI in cytopathology. Utilizing a standardized checklist and quality control procedures, this review examines recent advancements and future implications of AI technologies in this domain. Twenty-one review studies were selected through a systematic process. AI has demonstrated promise in automating and refining diagnostic processes, potentially reducing errors and improving patient outcomes. However, several critical challenges need to be addressed to realize the benefits of AI fully. This review underscores the necessity for rigorous validation, ongoing empirical data on diagnostic accuracy, standardized protocols, and effective integration with existing clinical workflows. Ethical issues, including data privacy and algorithmic bias, must be managed to ensure responsible AI applications. Additionally, high costs and substantial training requirements present barriers to widespread AI adoption. Future directions highlight the importance of applying successful integration strategies from histopathology and radiology to cytopathology. Continuous research is needed to improve model interpretability, validation, and standardization. Developing effective strategies for incorporating AI into clinical practice and establishing comprehensive ethical and regulatory frameworks will be crucial for overcoming these challenges. In conclusion, while AI holds significant promise for advancing cytopathology, its full potential can only be achieved by addressing challenges related to validation, cost, and ethics. This review provides an overview of current advancements, identifies ongoing challenges, and offers a roadmap for the successful integration of AI into diagnostic cytopathology, informed by insights from related fields.

Development of a Diamond Composite in the NI-CO-FE3P-SN-WC System Via Free Sintering for Use in Multi-Find Diamond Pearls

Objective: The main objective of this study is to manufacture a diamond composite with a metallic matrix based on Ni-Co-Fe3P-Sn-WC, using the Free Sintering process through cold uniaxial compaction, intended for the production of pearls for diamond wire saws, used in cutting ornamental stones. Theoretical Framework: The multi-wire technology represents an advancement in cutting ornamental stone blocks, allowing the simultaneous production of multiple slabs. Powder metallurgy is the predominant technique used in the manufacturing of pearls for diamond wire saws. Through testing, including scanning electron microscopy (SEM) and shear tests, it is possible to evaluate the alloy's strength, diamond crystal adhesion, and failure behavior of the alloy. Methodology: The adopted methodology involves the processing and characterization of pearls for diamond wire saws, following the techniques of powder metallurgy. Initially, parametric calculations were performed using Excel, providing a basis for subsequent analyses. Diamond-coated pearls were produced with different proportions of constituent elements, and uniaxial compressive strength tests and microstructural characterization were conducted to evaluate the results. Results and Discussion: In the adhesion tests to the metal tube, the pearls produced with the NICOFE alloy showed similar performance to the commercial pearls "A" and "B," with satisfactory direct shear strength values. However, some point defects were observed, such as porosity in the transition zone, creating a weaker bond, negatively impacting the final strength of the composite. Analysis of the commercial samples indicated that diamond abrasion was not related to the composition of the sintered alloy. Research Implications: This research suggests significant economic and technological implications, such as the development and nationalization of technology for the ornamental stone industry. The use of the NICOFE alloy could strengthen the local industry by providing a viable and more accessible alternative for the production of diamond pearls. Originality/Value: The NICOFE blend presents technical advantages for manufacturing diamond wire pearls, highlighting the environmental benefits from reduced cobalt use and economic advantages by offering more accessible materials for the ornamental stone industry.

Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activities

Interactive storytelling is vital for preschooler development. While children's interactive partners have traditionally been their parents and teachers, recent advances in artificial intelligence (AI) have sparked a surge of AI-based storytelling and reading technologies. As these technologies become increasingly ubiquitous in preschoolers' lives, questions arise regarding how they function in practical storytelling and reading scenarios and, how parents, the most critical stakeholders, experience and perceive these technologies. This paper investigates these questions through a qualitative study with 17 parents of children aged 3-6. Our findings suggest that even though AI-based storytelling and reading technologies provide more immersive and engaging interaction, they still cannot meet parents' expectations due to a series of interactive and algorithmic challenges. We elaborate on these challenges and discuss the possible implications of future AI-based interactive storytelling technologies for preschoolers.