Application Of Technology Research Articles

Review of 3D electromagnetic modeling and inversion for mineral exploration

Many mineral deposits have low resistivity. This property makes the electromagnetic (EM) method a very useful tool for mineral exploration. In the past few decades, the application of EM exploration technologies has been reviewed by many researchers. However, most reviews focused on EM exploration methods, the development of equipment, or their applications. Three-dimensional forward modeling and inversions are high-accuracy EM interpretation techniques in which great progress has been made in recent years in mineral exploration. We review the development of EM technology for mineral exploration with a focus on 3D EM forward modeling, inversion technology, and its applications. We first briefly introduce the EM methods for mineral exploration. Next, we give a comprehensive review of 3D EM forward modeling, inversion, and data interpretation, with special attention paid to the development of EM theory and applications in mineral exploration. We hope this review can promote the application of 3D EM numerical simulation and inversion in mineral exploration.

Index System of Low-carbon Driving Factors of Construction Industry in Hebei Province

Under the background of "double carbon" goal, the low-carbon development of construction industry in Hebei Province has become an important part of achieving the carbon peak in 2030 and carbon neutrality in 2060. The construction industry is one of the main sources of carbon emission in Hebei Province, and how to promote its low-carbon development is an urgent issue to be solved. Based on the five aspects of technology, energy, society, economy and industry, this paper constructs the low-carbon driving factor index system of the construction industry. The research shows that technological innovation, energy structure optimization and economic structure adjustment are the key factors to promote the low-carbon construction industry. In addition, by analyzing the current situation and future trend of carbon emissions of the construction industry, this paper puts forward corresponding policy suggestions, which provides theoretical support for the government to formulate countermeasures for the low-carbon development of the construction industry. The conclusion points out that the research and development and application of low-carbon technology, the optimization of energy structure and the green transformation of industrial structure will be the core path to realize the low-carbon development of the construction industry.

Insights into mixed dye pollutant degradation by oxygen and air plasma bubbling array

Abstract Synthetic organic dye pollutants pose a serious threat to the aquatic ecological environment due to their difficulty in complete degradation. This study employed a plasma bubble array reactor to degrade individual and mixed dye pollutant solutions of Sunset Yellow (SY), Methyl Orange (MO), and Methyl Violet (MV). The degradation efficiencies and mechanisms of the plasma were investigated under different working gas atmospheres. It was found that oxygen plasma degraded the target dyes and their mixtures more significantly than air plasma. Specifically, compared with air plasma, the removal of single dyes SY, MO and MV by oxygen plasma was increased by 76.6%, 13.8% and 3%, respectively, after 20 min of treatment. As for mixed dyes, after 25 min treatment, oxygen plasma removed 99.1%, which was 31.6% higher than air plasma. However, the degradation kinetic order in oxygen plasma was SY > MO > MV, while that in air plasma was MV > MO > SY. Combined with the detection of reactive oxygen-nitrogen species (RONS), the results showed that the reactive oxygen species (ROS) played an important role in the degradation of SY, and it was also important for the degradation of MO, whereas both the ROS and reactive nitrogen species (RNS) were important for the degradation of MV. Scavenger experiments revealed that hydroxyl (·OH) and superoxide anion (·O2-) played the most important roles in the degradation process. The three dyes were basically completely degraded within 14-20 minutes of treatment, with corresponding yields of 1.94-2.79 g/kWh. Possible degradation pathways for each dye were deduced based on LC-MS and the toxicities of solutions were evaluated by phytotoxicity tests and ion chromatography. The results showed that the biotoxicity of the intermediates was significantly reduced. This study may provide a feasible option for effective application of plasma technology in organic dye wastewater treatment.

A Study on Clinical Diagnosis of Hemorrhagic Stroke Based on Random Forest and LSTM Neural Networks

This study is dedicated to the application of artificial intelligence technology to assist the clinical management of hemorrhagic stroke patients. By combining patients' clinical information and imaging features, we successfully predicted the probability of hematoma expansion, which provides an important reference for clinical decision-making. Further, we modeled the progression of perihematomal edema and investigated the effect of therapeutic interventions on edema progression. Through K-means clustering and least squares, we fitted the model effectively, which provided a basis for the development of personalized treatment plans. In addition, we used LSTM neural network to predict patients' prognostic MRS scores, which provided new ideas for optimizing patients' rehabilitation pathways. These findings will help to improve the treatment outcome of hemorrhagic stroke patients and reduce the burden on society and families, which is of great clinical significance.

A Study on Guesthouse Interior Space Planning Method Based on BIM Topological Relationships

Building Information Modeling (BIM) technology has revolutionized the architectural and construction industries by providing detailed digital representations of buildings, enhancing design efficiency and project management. Despite its widespread application, the utilization of BIM in optimizing interior space planning, particularly in boutique accommodations like guesthouses, remains underexplored. This research addresses the gap by introducing a novel method for interior environment space planning of guesthouses based on the topological relationships derived from BIM data. This study developed a new algorithm that utilizes detailed topology information from BIM in order to make space planning decisions more efficiently, thereby improving space utilization efficiency and guest experience. Through a comprehensive analysis of BIM topological relationships and the application of advanced optimization techniques, our method aims to optimize the use of space while considering the unique constraints and requirements of guesthouse environments. The proposed algorithm demonstrates significant improvements in spatial efficiency and design quality when tested against traditional planning methods on real-world BIM datasets. This research not only contributes a novel approach to the field of architectural design and planning but also offers practical implications for the enhancement of interior spaces in guesthouses, potentially influencing future applications of BIM technology in the hospitality industry.

Study on the application of media technology and media art

This study aims to clarify how augmented reality (AR) technology was used in the live broadcast of the opening game of the National Festival and how effective it was. The opening ceremony of the Mongolian national festival “Naadam” (2023) on the theme of “Unity alone Mongolia” which includes “Hymn of Eternal Unity”, “The Great Epic”, “Time of Great Mongolia’s Fate”, “Three Generations Nomad”, “Altan Teshvi’s Melody”, “Mongolia of the World”. It has six parts, and how the design and processing of AR visualization of the information displayed on the screen with the meaning of these have been enriched. This study will increase the interest of artists, researchers and designers in using a wider range of innovative AR applications to create digital art experiences. Медиа технологи, медиа урлагийн хэрэглээний судалгаа Хураангуй: Энэхүү судалгаа нь үндэсний их баяр наадмын нээлтийн тоглолтын шууд дамжуулалтад медиа технологийн төрөл болох баяжуулсан бодит байдлын (augmented reality- AR) технологийг хэрхэн ашигласан, ямар үр дүнтэй болсныг тодруулах зорилготой. “Эв нэгдлийн тусгаар Монгол” сэдэвт нээлтийн тоглолт (2023 он) нь “Эв мөнхийн дуулал”, “Их хөлгөн туульс”, “Их Монголын заяан цаг”, ”Гурван цагийн нүүдэл”, “Алтан тэвшийн хөг аялгуу”, “Дэлхийн Монгол” гэсэн зургаан хэсэгтэй бөгөөд эдгээрийн утга агуулгатай дэлгэцээр гаргах мэдээллийн AR дүрслэлийн дизайн, боловсруулалт хэрхэн уялдан баяжуулсныг тодрууллаа. Энэ нь уран бүтээлчид, судлаачид болон дизайнеруудыг дижитал урлагийн туршлагыг бий болгохын тулд илүү өргөн хүрээний шинэлэг AR программуудыг ашиглах сонирхлыг нэмэгдүүлэх ач холбогдолтой юм. Түлхүүр үгс: медиа дизайн, наадам, баяжуулсан бодит байдал (augmented reality- AR)

Barriers to the application of simulation technologies in the education of health care students

Abstract Simulation technologies (ST) in health and medical education are undergoing rapid development due to the undoubted advantages of the methods and forms of simulation used - high quality, significant efficiency, economy, reliability and safety for the patient. At the same time, the application of ST is still underrepresented in the education of health care students. The main aim of this study was to identify the barriers and perspectives for the application of ST in the education of health professional students in Bulgaria from the perspective of the respondents’ expertise. A qualitative study of the expert (n = 17) opinion of those directly involved in the introduction, application, and evaluation of the use of ST in the education of healthcare students was conducted in 2023 in Varna. The questionnaire regarding the barriers and perspectives in the use of ST in the education of undergraduate and postgraduate students in health specialties students was used. The main barriers to the widespread use of ST in the training of students were identified as follows: the lack of adapted curricula that combine traditional practical sessions with patients and those on simulators; the lack of a sufficient number of trained and motivated trainers; the reluctance of trainers to introduce or more widely use ST; lack of or insufficient space to locate a simulation centre or equipment in relevant core units; the high cost of purchasing and maintaining ST and limited financial resources, as well as the large number of students in the groups. According to one of the experts, ‘there are no barriers to the use of ST, but real patient contact and a personalized approach to the patient is impossible to replicate through technology,’ highlighting the importance in combining traditional training with real patients and modern with the use of technology. Ethical issues in training healthcare professionals with simulators appear to be a new aspect of medical education with the application of ST. Key messages • In the effort for widespread implementation of ST in the training of health professions students, it is important to achieve a balance with traditional training experienced with real patients. • Identifying and overcoming barriers is an important prerequisite for the rapid and widespread application of ST in the training of health care students.

Applications of artificial intelligence in digital pathology for gastric cancer

Gastric cancer is one of the most common cancers and is one of the leading causes of cancer-related deaths in worldwide. Early diagnosis and treatment are essential for a positive outcome. The integration of artificial intelligence in the pathology field is increasingly widespread, including histopathological images analysis. In recent years, the application of digital pathology technology emerged as a potential solution to enhance the understanding and management of gastric cancer. Through sophisticated image analysis algorithms, artificial intelligence technologies facilitate the accuracy and sensitivity of gastric cancer diagnosis and treatment and personalized therapeutic strategies. This review aims to evaluate the current landscape and future potential of artificial intelligence in transforming gastric cancer pathology, so as to provide ideas for future research.

THEORETICAL FOUNDATIONS OF THE USE OF HEALTH-SAVING TECHNOLOGIES IN PRIMARY SCHOOL

The article substantiates the theoretical foundations of the development of health-saving technologies in primary school. Methods of research: analysis of scientific and methodological literature to identify the state of research in Ukrainian pedagogical science and the peculiarities of health-saving competences of primary school students; systematisation for the arrangement of groups of tasks and health-saving technologies; generalisation for the formulation of conclusions; prognostic to determine the prospects for the development of health-saving technologies in primary school. The key health-promoting competences that primary school students should have are the following: rational nutrition skills; physical activity and hardening skills; sanitary and hygiene skills; skills of organising work and rest regimes; self-control skills; skills of motivating success and training the will; stress management skills; effective communication skills; conflict prevention skills; compassion (empathy) skills; skills of behavior under pressure; cooperation skills; skills of self-awareness and self-esteem. The principles of application of health-saving technologies in primary school are systematised: motivational support of the educational process, cooperation, individualisation and differentiation, comfort, consciousness and activity, improving life skills, continuity and continuity. Attention is paid to the means of implementing tasks related to the use of health-saving technologies in primary school: motor orientation, health-giving forces of nature, hygienic conditions. The functions of health-saving technologies in primary school are defined: formative, informative and communicative, diagnostic, adaptive, reflective, integrative. It is emphasised that the use of health-saving technologies in the educational process allows students to adapt more successfully in the educational and social space, to reveal their creative abilities, and a teacher to effectively prevent antisocial behaviour, to actively involve parents of students in the work on strengthening and preserving children’s health.

Crystallite size and phase purity in Pb1-xSrxTiO3 ferroelectric perovskites for biomedical applications via controlled sintering

ABSTRACT Lead strontium titanate (Pb1-xSrx)TiO3 (PST) is a ferroelectric perovskite material with tunable properties, including Curie temperature, spontaneous polarization, and high dielectric permittivity, making it promising for advanced biomedical applications, such as biosensors, bioimaging, and light-activated therapeutics. This study investigates the effect of varying sintering temperatures on the crystallite size and phase purity of PST, aiming to optimize its performance for biomedical devices. PbCO3, SrCO3, and TiO2 powders were processed via ball milling for 58 hours, followed by sintering at temperatures ranging from 500°C to 1100°C. Laser diffraction particle size analysis and X-ray diffraction (XRD) were used to assess the particle size and crystal phase transformations. The results demonstrate that higher sintering temperatures improve the PST phase composition, reducing impurities and enhancing crystallite growth. The most significant crystal growth was observed at 900°C, while the optimal phase purity and crystallite size (91.5 nm) were achieved at 1100°C, producing 100% single-phase PST. These findings emphasize the critical role of sintering temperature in tailoring PST’s properties, enhancing its suitability for electronic and microelectronic biomedical devices. Controlled sintering in perovskite materials opens new pathways for their application in medical diagnostics and therapeutic technologies.

Drones and Technopreneurship in Malaysia: Unlocking the Economic Potential of Drones in Built Environment Development

Drones, with diverse technological capabilities, are poised to revolutionise various traditional tasks, particularly in-built environment development while driving economic growth, innovation, and job creation. Within the Malaysian context, drones have evolved beyond recreational use to become sophisticated unmanned aerial vehicles with untapped business potential. Against this backdrop, this paper explores a comprehensive review of drone development in Malaysia. Using a multidisciplinary approach, the review includes selected publication data from academic journals and online media published between 2018 and 2023, complemented with insights gathered from expert interviews. Aiming to bridge the discursive gap surrounding emerging drone technologies, the review focuses on identifying patterns and trends in recent Malaysian publications on drone applications, as well as understanding current issues related to its technology adoption. The thematic findings reveal a notable surge in interest in drone-related publications and draw clear connections between drone applications and diverse industrial sectors over the past six years. The paper emphasises critical issues such as community acceptance, the transforming landscape of business, diverse industry applications of drone technology, and government strategies for advancing drone technology. As a preliminary study, this paper establishes the foundation for leveraging the benefits of drone technology within the broader context of the built environment, social, and economic landscape. By shedding light on the evolving drone ecosystem in Malaysia, the paper contributes to fostering informed discussions and strategic initiatives in the integration and advancement of drone technologies. Thus, it offers valuable insights for professionals, economists, engineers, policymakers, and researchers alike.

Ultra-efficient surface grating couplers for chip-to-fiber and chip-to-free-space coupling based on single-beam radiation

Surface grating couplers, such as fiber-chip grating couplers and optical antennas, are fundamental devices in photonic integrated circuits, as they enable the coupling of light between the chip and an external medium. An important metric of surface grating couplers is the coupling efficiency, and high values, greater than -1 dB, are required for applications in quantum technology, light detection and ranging, and optical interconnects. Surface grating couplers typically suffer from radiation loss to the substrate, which significantly limits their coupling efficiency. Here we propose a novel grating-coupling concept that utilizes a high-refractive-index upper cladding to frustrate radiation orders to the substrate by operating in a single-beam diffraction regime. To illustrate this concept, we report the design of an easily fabricable silicon surface grating coupler with an unprecedented coupling efficiency of -0.2 dB to a single-mode optical fiber. Furthermore, the proposed strategy allows us to design an evanescently coupled millimeter-long optical antenna with a coupling efficiency of -0.1 dB to free space. Additionally, an ultra-fast wavelength-tunable beam steering of 0.37°/nm is achieved, which corresponds to more than a 2.5-fold enhancement over comparable silicon antennas. These results represent a pathway for a new set of photonic integrated interfaces for applications in which high-efficiency chip-to-fiber and chip-to-free-space coupling is critical.

Research Progress of Single-Cell Transcriptome Sequencing Technology in Plants

Multicellular organisms exhibit inherent cellular heterogeneity that cannot be captured by traditional high-throughput sequencing techniques, resulting in the unique cellular characteristics of individual cells being neglected. Single-cell transcriptome sequencing (scRNA-seq) technology can be used to determine the gene expression levels of each individual cell, facilitating the study of intercellular expression heterogeneity. This review provides a comprehensive overview of the development and applications of scRNA-seq technology in plant research. We highlight the significance of integrating single-cell multi-omics approaches to achieve a holistic understanding of plant systems. Additionally, we discuss the current challenges and future research directions for scRNA-seq technology in plant studies, aiming to offer valuable insights for its application across various plant species.

6.Y.2. AI and health care: what are the capabilities and limitations?

Abstract With the rapid advancement of artificial intelligence (AI) technologies and their implementation in health care, there is a critical need to explore the different applications and implications of AI. This workshop seeks to look at different aspects of AI, both potential applications for AI technology in health, public opinions of use of AI in health care, and the reality of implementing AI in different contexts. Understanding health care approaches to AI from different countries is a unique opportunity for shared learning of innovations across various sectors of health care and patient engagement in order to most effectively engage this emerging field. AI, in whichever form it may be incorporated into health care, has the opportunity to impart meaningful, innovative change, but understanding this new technology comes with important questions. This session will dive into research on AI in various areas of health care by 1) looking at different ways AI is being harnessed in health care; 2) discussing lessons which can be learned and adapted from other countries; 3) discussing promising solutions and approaches to implementing AI in health care; 4) discussing the limitations or concerns of integrating AI in health care. The panel will be composed of 1 moderator and 2 panelists. Panelists are experts in their fields, established researchers and practitioners, and alumni of the Harkness Fellowship from Germany and the United Kingdom. A moderator will briefly frame the discussion for the audience and introduce the speakers and their presentations before leading an interactive, engaging question and answer portion. The coherence of this panel lays in its theme of leveraging AI to enhance healthcare delivery and understanding ways we can work across countries to foster ethical, equitable AI technologies that revolutionize healthcare practices with the ultimate goal of improving patient outcomes and health system efficiencies. Dr. Saira Ghafur from the U.K. will begin by presenting her research on evidence-based reasons for implementing AI in health care and Dr. Benedikt Simon from Germany will close out by discussing his work in AI in Germany and the challenges that have prevented robust integration. Each panelist will speak for roughly 8-10 minutes, with about 5 minutes reserved for moderator and audience questions. Key messages • Sharing cross-country experiences and research enables us to better understand how AI can impact health care. • In weighing both the benefits and challenges or limitations of implementing AI, we can best understand effective approaches to utilizing AI in health care.

A Discovery of Pressure-Induced New Semiconductor Electronic Phase Transitions by DFT Calculations: Introducing a Glimpse of a Novel Semiconductor Family.

This study introduces a discovery of pressure-induced new semiconductor electronic phase transitions. A novel semiconductor family that exhibits pressure-induced nonmonotonic changes in band gaps was found and meets the definition of phase transitions, challenging the traditional understanding of linear and monotonic band gap modification through pressurization. Our findings suggest a complex interplay of atomic spacing and electron orbital contributions under varying pressure conditions, resulting in the variation of band gaps. This behavior, which includes three distinct steps: first, narrowing, second, broadening, and third, narrowing again and ultimately metalizing; some compounds could bypass step 1, has potential applications in piezoelectric and semiconductor technologies. We propose two new semiconductor electronic phase transitions (SEPT) associated with specific inflection points in the pressure-dependent band gap curve. Our results open avenues for further research into the electronic properties of crystals under high pressure, with the ultimate goal of uncovering the more profound physical principles governing these phenomena.

Signatures of coherent vibrational dynamics in ethylene carbonate.

Despite having practical applications in battery technology and serving as a model system for Fermi resonance coupling, ethylene carbonate (EC) receives little direct attention as a vibrational probe in nonlinear vibrational spectroscopy experiments. EC contains a Fermi resonance that is well-characterized in the linear spectrum, and the environmental sensitivity of its Fermi resonance peaks could make it a good molecular probe for two-dimensional infrared spectroscopy (2DIR) experiments. As a model system, we investigate the linear and 2DIR vibrational spectrum of the carbonyl stretching region of ethylene carbonate in tetrahydrofuran. The 2DIR spectrum reveals peak dynamics that evolve coherently. We characterize these dynamics in the context of Redfield theory and find evidence that EC dynamics proceed through coherent pathways, including singular coherence transfer pathways that have not been widely observed in other studies. We find that coherent contributions play a significant role in the observed dynamics of cross-peaks in the 2DIR spectrum, which must be accounted for to extract accurate measurements of early waiting time dynamics.

A Review of Perovskite-based Lithium-Ion Battery Materials

Lithium-ion batteries (Li-ion batteries or LIBs) have garnered significant interest as a promising technology in the energy industry and electronic devices for the past few decades owing to their superior energy and power density profiles, small size, long cycle life, low self-discharge rate, no memory effect, long-lasting power properties, and environmental friendly. The ongoing advancement of electrode and electrolyte materials has contributed significantly to enhancing and spreading the application of lithium-ion battery technology. Among the non-precious metal-based materials, perovskites have emerged as attention over the last decade, holding a prominent position in materials and energy. Due to their unique physical and chemical properties, these materials have garnered particular interest for their potential application in electrochemical energy devices. Perovskite oxides have piqued the interest of researchers as potential catalysts in Li-O₂ batteries due to their remarkable electrochemical stability, high electronic and ionic conductivity, and the ability to modify their properties through doping and element substitution. The purpose of this article is to provide an overview of recent developments in the application of perovskites as lithium-ion battery materials, including the exploration of novel compositions and structures, optimization of fabrication methods, and a deeper understanding of the fundamental mechanisms that can unveil the potential of perovskite materials.

Generative AI and Higher Education: Trends, Challenges, and Future Directions from a Systematic Literature Review

(1) Background: The development of generative artificial intelligence (GAI) is transforming higher education. This systematic literature review synthesizes recent empirical studies on the use of GAI, focusing on its impact on teaching, learning, and institutional practices. (2) Methods: Following PRISMA guidelines, a comprehensive search strategy was employed to locate scientific articles on GAI in higher education published by Scopus and Web of Science between January 2023 and January 2024. (3) Results: The search identified 102 articles, with 37 meeting the inclusion criteria. These studies were grouped into three themes: the application of GAI technologies, stakeholder acceptance and perceptions, and specific use situations. (4) Discussion: Key findings include GAI’s versatility and potential use, student acceptance, and educational enhancement. However, challenges such as assessment practices, institutional strategies, and risks to academic integrity were also noted. (5) Conclusions: The findings help identify potential directions for future research, including assessment integrity and pedagogical strategies, ethical considerations and policy development, the impact on teaching and learning processes, the perceptions of students and instructors, technological advancements, and the preparation of future skills and workforce readiness. The study has certain limitations, particularly due to the short time frame and the search criteria, which might have varied if conducted by different researchers.

9.Y.2. Leveraging GenAI and Deep Learning for the Analysis of Public Health Data: A Global Perspective

Abstract The evolution from Artificial Intelligence (AI) to Generative Artificial Intelligence (Gen AI) represents a significant advancement in technological capabilities and applications. Advancements in computing power, algorithmic complexity, and data availability have enabled Gen AI to exhibit broader cognitive abilities such as reasoning, problem-solving, and learning across diverse domains. Private sector investment and innovation is advancing capability in this space at a rapid pace, trending toward a complete paradigm shift towards machines capable of autonomously adapting and learning in dynamic environments, promising profound impacts across industries from education and finance to healthcare and beyond. Yet harnessing the power of GenAI remains out of reach for most public health entities. Questions like “How to start” and “What to do”, let alone concerns regarding cost, security, and ethics, often thwart an agency from endeavoring to even begin their journey to the program improvement they visualize through the lens and promise of AI. Conduent’s longstanding presence and pioneering work in AI across various sectors, has led to a simple, underlying philosophy: we leverage Gen AI technologies to assist and enable humans to improve business processes. Instead of developing Gen AI technologies ourselves, we focus our efforts on making advanced technologies accessible to our clients and enabling them to achieve their outcomes. This session focuses on accessibility and enablement for public health agencies looking to jump start their journey to AI and evolve their public health programs with the use of Gen AI, covering topics such as: • The evolution of GenAI in the private sector; • Visualizing objectives in public health outcomes and improved business processes; • What to do about data; • Using human intelligence to drive machine learning; • Managing security, ethics, and equity; • Roadmap your Journey to Gen AI. For Conduent, Gen AI is not intended to replace humans but to harness its potential to support and empower humans in creating innovative, additive opportunities that enhance business process outcomes. In the public health space, its impact is immense and far reaching. Let’s shift from “How do I start” to tackling the questions that improve programs and their outcomes. So how will you optimize your program with Gen AI? Let’s get started. Key messages • Private sector Gen AI capability is expanding at a rapid pace yet many public health agencies are struggling just to start. Conduent offers an informed perspective to jump start your Gen AI journey. • Accessibility and enablement for public health agencies looking to jump start their journey to AI and evolve their public health programs with the use of GenAI. Speakers/Panelists Mark Marostica Conduent Public Health Solutions, Florham Park, USA Dianna Lydiard Conduent, Florham Park, USA Tarun Khatri Conduent, Burlington, Canada

Integration of terrestrial radio and visual radio: A case study of m radio 98.8 Surabaya

In the process of developing transmission technology and internet applications, radio broadcasting institutions are constantly evolving. In an effort to improve management performance, any changes in radio broadcasting technology are always adaptable. This study utilises a qualitative approach that is still rarely used to review the integration of terrestrial and visual radio. Data collection techniques were used through field observations, interviews, and documentation studies. After data collection was completed, data analysis was conducted systematically in three aspects: data reduction, data display, and conclusion drawing. In contrast to the transmission of radio broadcasts over the air or voice broadcasts, this study found that radio broadcasts can also be distributed through audio and video streaming on the internet (also known as the network) in the form of voice, text, images, and video.