Technological Landscape Research Articles

Bridging Cultures, Advancing AI

In an era where generative AI (AI) is reshaping education at breakneck speed, how can institutions keep pace while also ensuring authentic learning? Our international Community of Practice (CoP) offers a compelling answer. Spanning Australia and Vietnam, this unique collaboration has not only navigated cultural differences but leveraged them to create a rich tapestry of AI integration strategies in HE. From unexpected synergies to challenging assumptions, our journey offers crucial insights for educators worldwide grappling with AI's transformative power. Established in April 2023, our CoP has grown to approximately 500 members drawn from multiple campuses across Australia and Vietnam. This cross-cultural collaboration aligns with Wenger's (1999) Communities of Practice theory and demonstrates a novel approach to harnessing global collective intelligence in HE. Our CoP has critically examined the impact of AI on HE, exploring its transformative potential and challenges in teaching methodologies, learning experiences, and assessment practices. Our discussions have extended to the ethical and environmental considerations of increased AI adoption in education, aligning with the growing need for sustainable technological integration in academia. Key outcomes of the CoP include: Development of AI-integrated curriculum frameworks and co-creation of staff training materials, enhancing institutional readiness for AI integration; Design and implementation of innovative learning tools, such as AI-generated interactive personas, enhancing student engagement and outcomes; Facilitation of research collaborations, resulting in both publications and multiple conference presentations; Exploration of AI-enabled learning analytics for personalised learning, with initial implementation across different cultural contexts; and Amplification of public awareness about AI in Southeast Asian education, as evidenced by extensive media coverage in Vietnam. Our CoP's activities, including monthly expert-led meetings and weekly newsletters, have catalysed significant advancements in Technology Enhanced Learning (TEL) research and practice. The initiative's success aligns with the TPACK framework (Mishra & Koehler, 2006) and social learning theory (Bandura, 1977), supporting contextualised AI integration in pedagogy and andragogy across diverse educational settings. Our CoP has overcome significant challenges, including sustaining engagement across time zones and sourcing diverse expert speakers, through dedicated leadership and strong institutional support. The CoP's impact led to its official recognition and the formation of a cross-school steering committee, further amplifying its influence and demonstrating its strategic importance to the institution. This presentation will share key insights from our journey, including strategies for fostering engagement in a remote, cross-cultural CoP focused on rapidly evolving technology. We will discuss successful AI-enabled pedagogies implemented by CoP members, how challenges were addressed, and the impact of diverse cultural perspectives on AI adoption. A key lesson learned is the importance of balancing AI integration with maintaining academic integrity and authentic assessment in the rapidly evolving landscape of educational technology. By sharing our experiences, we aim to provide a model for other institutions seeking to harness collective intelligence in shaping the future of AI in HE, while addressing critical issues such as appropriate AI use, systemic approaches to programmatic assessment, and the process of learning and teaching in an AI-enhanced environment.

Porous Materials for the heterogeneously catalyzed synthesis of high Value‐Added products: latest trends and future prospects

Heterogeneous catalysis currently stands as a foundational area in materials synthesis and applied chemistry. In this context, emphasizing the significance of heterogeneous catalysis in expediting chemical reactions and controlling the formation of desired products using porous materials represents an intriguing approach in the current technological landscape. This work delves into the synthesis and design of a variety of porous materials, encompassing microporous, mesoporous and macroporous materials (e.g. carbonaceous materials, metal oxides, MOFs, zeolites and functionalized analogues), alongside their properties and characteristics pivotal in heterogeneous catalysis. among others, and their subsequent modification, underscoring the significance of tailoring porous materials for specific catalytic applications.

Prototyping with Uncertainties: Data, Algorithms, and Research through Design

Seen both as a resource and an obstacle to clarity, uncertainty is a concept that permeates many areas of design. As the concept gains prominence in HCI, this special issue specifically explores the interplay between uncertainty and prototyping in Research through Design (RTD). We first outline three histories of uncertainty in design, in relation to its philosophical significance, its role in statistical and algorithmic processes, and its importance in prototyping. The convergence of these aspects is crucial as design evolves towards more agentive and entangled systems, introducing challenges such as Design As A Probabilistic Outcome. We then investigate the design spaces for engaging with ‘being uncertain’ that emerge from the papers: from nuancing the relationship between designers and quantitative data to blurring the line between humans, fungi, and algorithms. Finally, we illuminate some preliminary threads for how RtD can navigate and engage with these shifting technological and design landscapes thoughtfully.

Gerontologic Biostatistics and Data Science: Aging Research in the Era of Big Data.

Introduced in 2010, the sub-discipline of gerontologic biostatistics was conceptualized to address the specific challenges of analyzing data from clinical research studies involving older adults. Since then, the evolving technological landscape has led to a proliferation of advancements in biostatistics and other data sciences that have significantly influenced the practice of gerontologic research, including studies beyond the clinic. Data science is the field at the intersection of statistics and computer science, and although the term "data science" was not widely used in 2010, the field has quickly made palpable impacts on gerontologic research. In this Review in Depth, we describe multiple advancements of biostatistics and data science that have been particularly impactful. Moreover, we propose the sub-discipline of "gerontologic biostatistics and data science", or GBDS, which subsumes gerontologic biostatistics into a more encompassing practice. Prominent GBDS advancements that we discuss herein include cutting-edge methods in experimental design and causal inference, adaptations of machine learning, the rigorous quantification of deep phenotypic measurement, and analysis of high-dimensional -omics data. We additionally describe the need for integration of information from multiple studies and propose strategies to foster reproducibility, replicability, and open science. Lastly, we provide information on software resources for GBDS practitioners to apply these approaches to their own work and propose areas where further advancement is needed. The methodological topics reviewed here aim to enhance data-rich research on aging and foster the next generation of gerontologic researchers.

Collective attention overload in a global manufacturing company: a case study

AbstractThe rapid evolution of information technology (IT) platforms has enabled the collection of vast volumes of data for decision support. These technologies have facilitated an increase in information sharing and collaboration, promising to accelerate problem-solving and foster innovation. However, despite the advancements in this sophisticated and evolving technological landscape, scholars have raised concerns that the collective attention of organizations may be compromised primarily due to the overwhelming volume of information that employees are exposed to daily. Given the limited nature of human attention, this excessive information can impair decision-making and restrict an organization’s capacity to achieve performance enhancements. To understand the IT impact on collective attention, we conducted a case study in a multinational organization in the engineering and electronics sector. Our participants described how an IT platform designed to encourage information sharing and collaboration affected collective mindfulness of opportunities for collaboration and innovation. Despite an innovation culture and careful implementation, the IT platform induced a level of information sharing and collaboration that overwhelmed collective attention, leading to employees failing to achieve the anticipated performance improvements. Our findings caution organizations about how emerging technologies may induce attention overload, undermine collective attention, and detract from collective mindfulness of business opportunities. Our research findings confront the prevalent assumption that an abundance of high-quality information invariably leads to enhanced organizational performance. The article concludes by proposing a research agenda aimed at defining guidelines for the adoption of collaborative IT platforms that prevent overloading collective attention.

Scientific knowledge management in Brazil: an analysis of the Lattes Platform

The Lattes Platform (PL) is an essential resource for Brazil's scientific and technological landscape, centralizing researchers' curricular information and facilitating the management of scientific data. However, the lack of rigorous standardization in the data entered compromises the efficiency of retrieving and analyzing this information, limiting academic knowledge management. This study investigated the limitations of the PL and proposed a solution that integrates new technologies to optimize scientific data management. The research was conducted in two main stages: a systematic literature review on knowledge management and technologies applied to the PL, and a case study at the Federal Institute of Acre (IFAC). The review included the analysis of 79 articles and a survey of software records at the National Institute of Industrial Property (INPI). In the case study, semi-structured questionnaires were administered to IFAC staff to understand their needs and perceptions regarding the PL. The results reveal a significant demand for tools that automate data extraction and integrate the PL with other academic management systems. The analysis of software records at INPI highlighted solutions that can enhance the PL’s efficiency. The integration of Artificial Intelligence (AI), exemplified by the proposed LattesAI, emerges as a promising solution to overcome the platform's current limitations, automating processes and personalizing knowledge management. This innovation not only optimizes academic management but also strengthens Brazil's position in the global scientific landscape, promoting greater efficiency and collaboration in educational and research institutions. Future studies should focus on developing AI algorithms specifically for the PL, ensuring its continuous evolution in response to the demands of the academic environment.

Telesurgery: humanitarian and surgical benefits while navigating technologic and administrative challenges.

Telesurgery, the remote execution of surgical procedures through telecommunication and robotic systems, has witnessed substantial growth in recent years, promising to address global healthcare disparities and enhance surgical expertise. This paper explores the humanitarian and surgical benefits of telesurgery, emphasizing its potential to provide expert surgical care to underserved regions. Despite its transformative potential, telesurgery faces significant technologic challenges, including issues of data transmission, latency, and the need for advanced robotic platforms. The advent of 5G networks and innovative robotic systems provides a promising technological landscape, yet global disparities in 5G coverage remain a concern. Ethical considerations, ranging from preserving the surgeon-patient relationship to addressing patient vulnerability and conflicts of interest, are pivotal aspects that demand attention. The paper underscores the importance of clear regulatory frameworks and international collaboration to navigate legal complexities and ensure ethical standards. As telesurgery progresses, integrating artificial intelligence, augmented reality, and haptic feedback technologies holds promise for further advancements. Despite these challenges, telesurgery has the potential to achieve equitable access to expert surgical care; however, it requires a collective effort to overcome its intricate technologic and administrative hurdles.

Applicability of ChatGPT in Online Collaborative Learning: Evidence Based on Learning Outcomes

The study delves into the impact of ChatGPT, a generative AI technology, on online collaborative learning (OCL) outcomes in educational settings. With a focus on knowledge activation and critical thinking, this research involved thirty university students from various disciplines, divided into experimental (ChatGPT) and control (traditional online search) groups. The research process involved controlled experiment and semi-structured interviews. Results revealed a significant disparity in knowledge activation levels between the experimental and control groups, showcasing the efficacy of ChatGPT in enhancing students' engagement with challenging concepts. Furthermore, the study underscored ChatGPT's role in fostering critical thinking skills, thereby enriching the learning experience and promoting deeper understanding among participants. The findings shed light on the potential of AI technologies, like ChatGPT, to serve as virtual tutors, guiding learners through problem-solving tasks and facilitating metacognitive skills development. By facilitating collaborative interactions and peer-to-peer learning, ChatGPT emerged as a valuable mediator in online discussions and group activities, encouraging active participation and knowledge sharing within learning communities. The research contributes to the evolving landscape of education technology, emphasizing the significance of AI-driven tools in augmenting educational practices and enhancing student learning outcomes. This study paves the way for further exploration of AI integration in educational contexts, offering insights into the transformative potential of generative AI technologies like ChatGPT.

Research review. Navigating the digital limes: Transformative practices and challenges in Classical and Mediterranean archaeology

This paper examines the profound impact of digital technology on Classical and Mediterranean archaeology, with a focus on digital field recording and infrastructures. Using the “Skeuomorphism of Practice” framework, it traces the integration of technology into our existing methodologies. The Swedish Pompeii Project is used as a case study to illustrate the adoption of 3D models into traditional archaeological practices. While highlighting the benefits, the paper also addresses the tensions between traditional and digital methods. As archaeological practices increasingly generate digital data, the role of infrastructures as collaborative hubs is emphasized. The study questions the adequacy of current pedagogy in preparing students for the digital and technological landscapes and argues for continued critical reflection on the impact of technology.

Patient Experiences with a Smartphone Application dedicated to postoperative recovery after Elective Arthroplasty

IntroductionIn the rapidly evolving landscape of digital health technologies, the widespread use of smartphones has paved the way for innovative applications designed to enhance healthcare experiences. This introduction underscores the global prevalence of smartphone users and their potential in healthcare, particularly exemplified by therapeutic apps such as the ‘PostOp’ smartphone application. Focused on postoperative support, this app prioritises user-friendly design, data recording, and adherence to national standards. The study aims to evaluate the app's success in achieving these objectives, highlighting its continuous improvement based on real user feedback and its potential impact on improving patient experiences and recovery processes. Methods and MaterialsA cohort of elective joint arthroplasty procedure patients at Kettering General Hospital (KGH), spanning a timeframe of one to 12 months post-surgery were surveyed over the telephone regarding their experience of the ‘Post Op’ smartphone utilising a custom, well-structured standardised questionnaire. ResultsThe study surveyed 42 consecutive patients who had undergone elective joint arthroplasty procedures at Kettering General Hospital, including 22 total hip replacement (THR) and 20 total knee replacement (TKR) patients. The respondents, with a median age of 66 years, provided overwhelmingly positive feedback about the ‘Post Op’ smartphone application. On a scale of 1 to 6, the mean ease-of-use score was 5.31, with only two THR patients providing lower scores due to difficulties with photography. However, the app's overall functionality, particularly in uploading photos, received a mean score of 4.78. Despite some technical issues, 97.6% of respondents would recommend the app, emphasising its positive impact on confidence in the recovery and reducing unnecessary healthcare visits. Narrative responses highlighted the app's simplicity, support, and prompt communication with healthcare teams. Overall, the feedback indicates a high level of satisfaction with the ‘Post Op’ application among elective arthroplasty patients, showcasing its potential benefits for postoperative care. ConclusionThe study provides valuable insights into the impact of the ‘Post Op’ smartphone application on postoperative care, acknowledging both its successes and areas for enhancement. Further research and iterative improvements are crucial for optimising patient experiences and ensuring the app aligns effectively with healthcare needs.

Safety in Wearable Robotic Exoskeletons: Design, Control, and Testing Guidelines

Abstract Exoskeletons, wearable robotic devices designed to enhance human strength and endurance, find applications in various fields such as healthcare and industry; however, stringent safety measures should be adopted in such settings. This paper presents a comprehensive exploration of challenges associated with exoskeleton technology, ranging from mechanical issues to regulatory and ethical considerations. The enumerated challenges include joint hyper-extension or flexion, rapid or sudden motion, misalignment, fit, and comfort issues, mechanical failure, weight and mobility limitations, environmental challenges, power supply issues, high energy consumption and regeneration, fall risk or stability concerns, sensor failures, control algorithm malfunctions, machine-learning model challenges, communication disconnection, actuator malfunctions, unexpected human–robot interactions, and regulatory and ethical considerations. The paper outlines possible risks and suggests practical solutions based on design, control, and testing methods for each challenge. The objective is to offer a guideline for developers and users, emphasizing safety, reliability, and optimal performance in the ever-evolving landscape of exoskeleton technology. The guideline covers preoperation checks, user training, emergency response, real-time monitoring, and user interaction to ensure responsible innovation and user-centricity in exoskeleton development and deployment.

Study of Access Control Techniques on the Blockchain-enabled Secure Data Sharing Scheme in Edge Computing

Background: The pervasive adoption of edge computing is reshaping real-time big data analysis, smart city management, intelligent transportation, and various other domains. Its appeal lies in its distributed nature, decentralization, low latency, mobile support, and spatial awareness. However, this ubiquity exposes data to security threats, jeopardizing privacy and integrity. Consequently, access control assumes paramount importance in securing data sharing within edge computing and blockchain technologies. Methods: This research addresses this critical issue by conducting a comprehensive study on access control techniques within the context of edge computing and blockchain for secure data sharing. Our methodology commences with an exhaustive review of relevant articles, aiming to identify and expound upon gaps in existing research. Subsequently, we perform a meticulous analysis of access control methods, mechanisms, and performance metrics, seeking to establish a holistic understanding of the landscape. Results: The culmination of this research effort is a multifaceted contribution. We distill insights from a diverse range of access control schemes, shedding light on their nuances and effectiveness. Our analysis extends to evaluating the performance metrics vital for ensuring robust access control. Through this research, we also pinpoint critical research gaps within traditional access control methods, creating a foundation for innovative approaches to address the evolving challenges within edge computing and blockchain environments. Conclusion: In conclusion, this research venture paves the way for secure data sharing in edge computing and blockchain by offering a thorough examination of access control. The findings from this study are anticipated to guide future developments in access control techniques and facilitate the evolution of secure, privacy-conscious, and efficient data sharing practices in the dynamic landscape of digital technology.

Information Technology Governance Using the COBIT 2019 Framework at PT Bank Pembangunan Daerah Papua

Effective and efficient information technology (IT) management is crucial for the banking industry, especially for PT Bank Pembangunan Daerah Papua (BPDP), which seeks to reinforce its role within the Papua region. Leveraging the COBIT 2019 framework, BPDP aims to enhance IT governance, addressing operational efficiency, information security, and regulatory compliance. This study highlights BPDP's strategic priorities, such as revenue growth, fostering innovation, and customer service excellence, which are essential for sustaining competitive advantage amidst regional geopolitical challenges. By identifying these key priorities, the research uncovers critical areas of improvement, including IT investment optimization, mitigation of regulatory and security risks, and solidifying IT's strategic role in driving business growth. To evaluate BPDP's IT governance maturity, this study applies COBIT 2019's ten design factors, from enterprise goals and risk profiles to IT-related issues, compliance needs, and technology adoption strategies. The findings underscore gaps in risk management, project lifecycle oversight, and resource allocation, offering actionable insights for governance improvement. Enhanced IT integration can support BPDP's larger objectives of sustainable growth and economic development within the region. Furthermore, the study demonstrates that a well-structured governance framework strengthens BPDP's operational efficiency, builds customer trust, and ensures alignment with regulatory standards and evolving technology landscapes. By adopting these governance recommendations, BPDP can achieve long-term success and secure its position as a prominent financial institution in Papua, thus reinforcing its commitment to regional economic growth and compliance with national regulatory standards.

A novel photocurable polymeric solid–solid phase change material for intelligent temperature regulators

The advancement of solid–solid phase change materials (SSPCMs) with crystalline segments embedded onto crosslinked polymer backbones offers a promising solution to the leakage problems associated with traditional phase change materials. Despite its potential, this technology faces challenges, including energy-intensive synthesis processes of SSPCMs and difficulties in custom designing materials for confined spaces. Herein, we introduce a novel strategy for the rapid preparation of polyurethane acrylate-based SSPCMs via UV-initiated polymerization. By leveraging crystalline segments from polyethylene glycol, the resulting SSPCM exhibits an impressive enthalpy of 110.4 J⋅g−1, enabling seamless transitions from rigid to soft states during solid–solid phase changes. When applied in portable electronic devices, this SSPCM can be synthesized in-situ to meet various size requirements, demonstrating exceptional temperature regulation performance based on latent thermal energy storage mechanisms. Furthermore, by integrating thin layers of carbon nanotubes (CNTs) onto the rough surfaces of SSPCM films and employing a face-to-face configuration to convert temperature-sensitive mechanical changes into electric resistance variations, we have engineered high-temperature alarms for SSPCM-based temperature regulators. The advantages of this preparation strategy, combined with the thermal regulation capabilities and innovative temperature alarm design, underscore the significant potential for intelligent and adaptive applications of SSPCMs in advanced technological landscapes.

A Systematic Review of Traceability and Monitoring in Port Transportation Processes for Halal Compliance and Certification

This systematic review provides a comprehensive analysis of halal transportation practices at ports, with a focus on the critical aspects of traceability and monitoring mechanisms. As the global halal market continues to expand rapidly, ensuring the integrity of halal products across the entire supply chain, particularly during port clearance and transportation—has become increasingly vital. This article synthesizes current research on the challenges faced in transportation, technological advancements, and the regulatory frameworks governing halal logistics at ports. It evaluates existing methods for tracking and verifying the halal status of goods from their origin to the destination, emphasizing the pivotal role of traceability and monitoring in upholding halal integrity. The review identifies significant gaps in the literature, particularly concerning the standardization of halal transport protocols and the integration of advanced tracking technologies. Additionally, it examines the policies and regulatory bodies responsible for overseeing the halal transport process. The findings underscore the urgent need to develop comprehensive, globally recognized guidelines that can adapt to the rapidly evolving technological landscape and address the diverse needs of the halal market. This study is instrumental in fostering more efficient, transparent, and reliable halal shipping practices at ports, ultimately bolstering consumer confidence and supporting the continued growth of the global halal market.

I'm a chatbot, ask me anything: using ChatGPT to improve learning experiences

Artificial Intelligence (AI) offers substantial opportunities and challenges in higher education. Given the evolving technological landscape, educators must ensure that students acquire a skill set encompassing both AI and traditional academic skills to enable them to succeed in their studies and future careers. We tested two groups of students, who each watched a recorded lecture on an unfamiliar topic. The first group used ChatGPT to ask questions and clarify content during the lecture, while the second group used Google search for the same purpose. We assessed the impact of these tools on the students’ cognitive load (germane and extraneous) and measured active learning through the number of questions students asked. We also used a post-test quiz, covering the breadth of Bloom’s Taxonomy, to evaluate the efficacy of each method. We expected that students using ChatGPT would experience lower extraneous cognitive load, higher germane cognitive load, and would learn content more effectively. Qualitative results demonstrated a notable preference for chatbots over search engines, due to the ease of locating specific information and obtaining insightful responses. Our findings suggest the potential of AI as a transformative tool in education, helping to enhance and deepen learning, while ensuring students retain ownership of their critical and creative processes. Leveraging the potential of AI and large language models may also serve a broader purpose: by personalising learning experiences to match individual students’ language skills, experience levels, and needs, AI may bridge the gap between the tailored support students want and the practical constraints that educators face.

Technology-Enhanced Art and Sustainable Discourse Practices

This study explored the potential of technology-enhanced art in fostering sustainable discourse practices and social connection in the digital age. As technology advances, new opportunities emerge to integrate digital tools into creative practices, particularly in the realm of art. By examining the intersection of art, technology, and discourse analysis through a sustainability lens, this research aims to uncover innovative approaches to promoting effective communication, civic engagement, collaboration, intercultural understanding, empathy, and resilience incorporating co-design processes, shared decision-making, or collaborative art-making activities. The study provides an overview of technology-enhanced art practices including social media, virtual reality, interactive installations, and digital storytelling tools, and their impact on discourse practices within diverse socio-cultural contexts. It investigates the role of digital platforms and creative processes in facilitating social connection through discourse. The research focuses on a thematic approach to technology-enhanced art interventions that promote sustainable discourse practices and social connection. Through a thematic and intervention-based approach, this research combines a review of current literature with case studies showcasing the successful implementation of technology-enhanced art interventions. So the current study argues that technology-enhanced art holds significant potential for fostering sustainable discourse practices and social connection in the digital age. By harnessing the power of digital tools and creative processes in an environmentally conscious manner, artists, educators, and practitioners can support social connections. This, in turn, contributes to personal, social, and environmental resilience in a rapidly evolving technological landscape.

Knowledge mapping and research trends of brain-computer interface technology in rehabilitation: a bibliometric analysis

BackgroundAlthough the application of brain-computer interface (BCI) technology in rehabilitation has been extensively studied, a systematic and comprehensive bibliometric analysis of this area remains lacking. Thus, this study aims to analyze the research progress of BCI technology in rehabilitation through bibliometric methods.MethodsThe study retrieved relevant publications on BCI technology in rehabilitation from the Web of Science Core Collection (WoSCC) between January 1, 2004, and June 30, 2024. The search was conducted using thematic queries, and the document types included “original articles” and “review articles.” Bibliometric analysis and knowledge mapping were performed using the Bibliometrix package in R software and CiteSpace software.ResultsDuring the study period, a total of 1,431 publications on BCI technology in rehabilitation were published by 4,932 authors from 1,281 institutions across 79 countries in 386 academic journals. The volume of research literature in this field has shown a steady upward trend. The United States of America (USA) and China are the primary contributors, with Eberhard Karls University of Tübingen being the most active research institution. The journal Frontiers in Neuroscience published the most articles, while the Journal of Neural Engineering was the most cited. Niels Birbaumer not only authored the most articles but also received the highest number of citations. The main research areas include neurology, sports medicine, and ophthalmology. The diverse applications of BCI technology in stroke and spinal cord injury rehabilitation, as well as the evaluation of BCI performance, are current research hotspots. Moreover, deep learning has demonstrated significant potential in BCI technology rehabilitation applications.ConclusionThis bibliometric study provides an overview of the research landscape and developmental trends of BCI technology in rehabilitation, offering valuable reference points for researchers in formulating future research strategies.

A Safe Fiber-Optic-Sensor-Assisted Industrial Microwave-Heating System

Industrial microwave-heating systems are pivotal in various sectors, including food processing and materials manufacturing, where precise temperature control and safety are critical. Conventional systems often struggle with uneven heat distribution and high fire risks due to the intrinsic properties of microwave heating. In this work, a fiber-optic-sensor-assisted monitoring system is presented to tackle the pressing challenges associated with uneven heating and fire hazards in industrial microwave systems. The core innovation lies in the development of a sophisticated fiber-optic 2D temperature distribution sensor and a dedicated fire detector, both designed to significantly mitigate risks and optimize the heating process. Experimental results set the stage for future innovations that could transform the landscape of industrial heating technologies toward better process quality.

Analyzing financial analysts' role in business optimization and advanced data analytics

This paper explores the evolving role of financial analysts in business optimization, focusing on their increasing reliance on advanced data analytics to drive strategic decision-making. It examines the historical shift from traditional financial analysis to more data-centric responsibilities, highlighting how modern financial analysts contribute to operational efficiency, cost reduction, and revenue growth through data-driven insights. Integrating advanced tools such as artificial intelligence, machine learning, and predictive analytics has enabled financial analysts to interpret complex datasets, optimize business processes, and improve market positioning. However, adopting these technologies comes with challenges, including a steep learning curve, data integration difficulties, and ethical concerns related to data privacy and bias in AI algorithms. This paper also discusses future trends in financial analysis, emphasizing the growing importance of real-time data analysis and automation in business optimization. The paper concludes by stressing the need for financial analysts to continually adapt to the rapidly evolving technological landscape to effectively shape corporate strategy.