Development Of Technology Research Articles

Ethical implications of artificial intelligence in skin cancer diagnostics: use-case analyses.

Skin cancer is the most common cancer worldwide. Early diagnosis is crucial for improving patient survival and morbidity. Artificial intelligence (AI)-assisted smartphone applications (apps) for skin cancer potentially offer accessible, early risk assessment of suspicious skin lesions. However, the integration of novel technologies into dermatology pathways raises ethical concerns. Although ethical principles for AI governance are well known, how these principles should be applied to real-life AI apps readily available for public use is less well understood. We conducted an ethical use-case analysis of commercially available skin cancer apps to better understand the ethical issues arising from their development and use in a real-world context. Established methods for ethical analysis of clinical AI applications were applied to two popular skin cancer apps in the UK: SkinVision and Scanoma. Systematic searches of published literature, regulatory documents, and websites were conducted to review the evidence regarding app development, effectiveness, and use. Screening for inclusion was undertaken by two researchers independently. Ethical concerns were identified with reference to previously described ethical concerns and principles for AI-assisted healthcare. By conceptualising ethical principles within the use-context of skin cancer apps, we identified specific ethical issues arising throughout the AI lifecycle of both apps. One company provided extensive detail regarding algorithm development and decision-making, this information was insufficiently reported for the other app. Other concerns identified related to number, quality, and consistency of studies assessing algorithm efficacy. Limited efforts to address potential skin tone biases and exclusion of individuals with darker skin tones as target users by one app risks perpetuating existing inequalities. Inadequate regulatory oversight was identified. Findings from our ethical use-case analysis of two patient-facing AI-assisted skin cancer apps suggest inadequate incorporation of bioethical norms such as justice, responsibility and transparency into the development and deployment of both apps. Improved regulation should increase accountability. Ensuring ethics by design through integration between technology developers, dermatologists, ethicists, and the public is urgently needed to prevent the potential benefits of AI-assisted skin cancer apps being overshadowed by potential ethical harms.

The impact of urban soccer events on carbon emissions: Panel threshold analysis for Chinese cities

The holding of soccer events has an important impact on modern urban activities, which is conducive to the economic development, social harmony, cultural integration and regional integration of cities. However, massive energy is consumed during the event preparation and infrastructure construction, resulting in an increase in the city’s carbon emissions. For the sustainable development of cities, it is important to explore the theoretical mechanism and practical effectiveness of the relationship between soccer events and urban carbon emissions, and to adopt appropriate policy management measures to control carbon emissions of soccer events. With the development of green technology, digitalization, and public transportation, the preparation and management methods of soccer events are diversified, and the possibility of carbon reduction of the event is further increased. This paper selects 17 cities in China from 2011 to 2019 and explores the complex impact of soccer events on urban carbon emissions by using green technology innovation, digitalization level and public transportation as threshold variables. The results show that: (1) Hosting soccer events increases carbon emissions with an impact coefficient of 0.021; (2) There is a negative single-threshold effect of green innovation technology, digitalization level and public transportation on the impact of soccer events on carbon emissions, with the impact coefficients of soccer events decreasing by 0.008, 0.01 and 0.06, respectively, when the threshold variable crosses the threshold. These findings will enhance the attention of city managers to the management of carbon emissions from soccer events and provide guidance for reducing carbon emissions from soccer events through green technology innovation, digital means and optimization of public transportation.

INDIVIDUAL FACTORS, SOCIAL RELATIONS, UTILIZE SOCIAL MEDIA ON BUSINESS DEVELOPMENT

Globalization and the development of information technology, the Micro, Small and Medium Enterprises sector has become the main pillar in driving the local economy. Garut Regency, West Java, has great potential in developing MSMEs which play an important role in job creation, economic growth and income distribution. There are challenges in optimizing the growth and sustainability of MSMEs in this area. This research aims to examine the influence of individual factors, social relationships, and the ability to utilize social media on the development of MSME businesses in Garut Regency. The method used is an explanation survey with a quantitative and qualitative approach (mixed methods). Quantitative data was collected through questionnaires, while qualitative data was obtained from Focus Group Discussions and in-depth interviews. The results of analysis using Structural Equation Modeling show that individual factors have an influence of 32.1%, social relations have an influence of 32.9%, and the ability to utilize social media has an influence of 35.9% on the development of MSME businesses in Garut Regency. Simultaneously, these three factors have an influence of 44% on business development. This research provides a basis for formulating more effective policies and programs to support the growth of MSMEs in Garut Regency.

Digitally Driven Urban Governance: Framework and Evaluation in China

With the rapid development of digital technology, the role of digitalisation in urban governance continues to emerge. Building a theoretical analysis framework and evaluation system of digitally driven urban governance has important theoretical and practical significance for stimulating the efficiency of digital technology tools and improving the energy level of urban digital governance. This paper aims to explore the mechanism of urban governance enabled by digital technology, innovatively change the previous thinking mode that only attaches importance to facility construction and e-government platforms, adopt ecological thinking, and comprehensively consider the role of “soft elements” such as strategic support, industrial support, the security environment, talent support, and the market environment. Then, the extreme value variance method and the coefficient of variation method are used to calculate the overall capacity and secondary index scores of each city, and the standard deviation of secondary index scores is used to represent the sub-environmental balance of the cross-sectional data of China’s provinces. In order to further explore which indicators restrict the improvement of China’s urban digital governance capacity, this study also constructs an obstacle degree model. The results show the following: (1) The overall capability of China’s digitally driven urban governance is low, with a total score of 27.25, indicating that China’s digitally driven urban governance is in its infancy. (2) There is a significant development imbalance among Chinese provinces, with Beijing ranking first with a score of 81.16, and Tibet, Qinghai, Xinjiang, Heilongjiang, and Ningxia scoring less than 13.30 points, ranking as the bottom 5 among the 31 provinces. (3) The shortcomings of talent support, industrial support, and the security environment restrict the improvement of the entire digital ecological governance ability.

CLOUD COMPUTING AND HR COMPETENCY TOWARDS THE PERFORMANCE OF MSMEs IN DENPASAR

The industrial revolution 5.0 brings the economy to an industrial paradigm through the rapid development of technology and the internet. MSMEs that have contributed to Indonesian economic development by increasing the GDP and absorbing the workforce need to be able to adapt to technological advances. Cloud computing is one of the drivers of Industrial Revolution 5.0. This study aimed to determine the effect of cloud computing based accounting information systems toward the performance of MSMEs with human resources competency as a moderating variable. Data used is primary data which was collected through a survey questionnaire from a sample of 100 MSMEs. The sampling method used is purposive sampling. Data was performed by moderating regression analysis through SPSS. The result of this study shows that a cloud based accounting information system and human resources competency has a positive influence on the performance of MSMEs, while human resources competency significantly moderates the relationship between cloud based accounting information systems and the performance of MSMEs. These findings show the importance of implementing cloud based accounting information systems by MSMEs for business success.

Internet terminology in modern German: semantics and structure

Abstract The article presents an in-depth analysis of the formation of terminology in the professional language of the Internet in German and offers predictions about its future development, in line with the evolution of this area of knowledge. Drawing from a corpus of about 8,000 terms and term combinations, the authors explore the dynamics of German Internet terminology, propose a timeline for the emergence of these terms in relation to advancements in science and technology, and identify key methods of term formation along with their semantic characteristics. The primary source of expansion in German Internet terminology comes from Anglo-American borrowings, which, during their adaptation into German, have undergone structural and semantic assimilation. The main methods of term formation within the examined terminology are compounding (with a predominance of binary structures), derivation, and abbreviation. German Internet terminology is characterized by synonymy and polysemy, reflecting the dynamic nature of network technology development. A distinctive feature of this terminology is the formal redundancy in expressing a single concept, leading to the formation of synonymous sets. The uniqueness of the semantic paradigm of these terms lies in the extralinguistic factors that influence terminological synonymy, polysemy, and the broader system of structural relations in German Internet terminology.

Does ICT adoption influence the bank’s risk-taking behavior? Evidence from advanced, developing and emerging nations

PurposeThis is the first attempt to investigate the impact of information and communication technology (ICT) on the risk-taking behavior of banks.Design/methodology/approachThis study considers 74 advanced, developing and emerging countries in the period of 2010–2021. The study considers internet use, mobile subscriptions, broadband access and ATM availability as ICT indicators, while using bank Z_score as a proxy for risk-taking. To get comprehensive insights, pooled OLS, fixed effect models and generalized methods of moments (GMM) are applied.FindingsIt is found that ICT has a consistently positive influence on the risk-taking behavior of banks in advanced, developing and emerging countries. Notably, internet users and broadband access have a bigger impact in advanced economies, but mobile cellular subscriptions and ATMs are more significant in developing and emerging countries. Other factors, such as GDP growth and market capitalization, positively influence the bank’s risk-taking approaches, but the cost-to-income ratio and inflation have an inverse connection.Practical implicationsThis will provide useful advice to the government, bank executives, financial regulators, policymakers, regulators, academicians, technology developers and other relevant stakeholders who want to maximize the advantages of ICT in the banking sector while reducing related risks.Originality/valueThis is the first study to examine the impact of ICT on banks’ risk-taking approaches in advanced, developing and emerging countries.

Application of Android-Based Applications to Make It Easier to Record Micro Business Finances (Quuena Store Case Study)

The current development of information and communication technology has many benefits for human life, not only in the social but cultural, educational and economic fields. One use in the economic sector is in the financial services sector, namely the existence of a digital financial recording system in the form of an Android-based application. Financial recording is the process of recording transactions for a period, where this recording report will be used to make decisions and monitor the business being carried out.This research was conducted on MSMEs in Singajaya Village, the object of this research is business actors engaged in products and services, namely "Queena Store" which is located at Jl. CITRA No.12 Block XX Singajaya Village, this research is based on the problem where financial recording at the Queena Store still uses a manual system because the business owner does not understand technology. The purpose of this research is to help business actors implement a new accounting bookkeeping system and analyze its use in using the Android-based financial recording application, namely Akuntansiku, so that the recording process can be easier, faster and have accurate results. Tags research method is descriptive qualitative, which aims to provide a systematic understanding based on facts as it is about how to implement financial records based on the Android-based Akuntansiku application at the Queena Store.

Optimization design of a two-step microreactor with spiral structure for high-performance catalytic reactions

Abstract In order to enhance the efficiency of diphenyldimethoxysilane preparation in microreactors, this study utilized the computational fluid dynamics simulation based on the finite element method to explore the impact of the internal structural parameters of the spiral two-step microreactor (STMR) on the reaction outcomes, with the aim of optimizing its structure for high-performance catalytic reactions. By designing a microreactor based on the Archimedean spiral shape and introducing two ribbed obstacles, the structure was optimized through adjusting the relevant ratios. The effects of different-sized structures and obstacles within the reaction zone and non-reaction zone on the product concentration and reaction results were discussed. The results demonstrate that lower obstacle heights and smaller aspect ratios (P = 2:7, R = 5:6) are beneficial for improving the reaction efficiency and product concentration. This study offers a theoretical foundation for microreactor design and is anticipated to further drive the development of microreactor technology.

Strategies for applying noninvasive brain stimulation techniques to treat psychiatric disorders

With the continuous development of science and technology, medical science, and bioengineering technology, various neuromodulation techniques, such as electrical, magnetic, acoustic, and optical modalities, are rapidly emerging in the therapeutic regime of psychiatric disorders. How to choose the appropriate noninvasive brain stimulation techniques for different psychiatric disorders and their clinical features is becoming a practical dilemma in clinical setting. In this paper, by describing the complex pathogenesis of psychiatric disorders and the limitations of existing therapeutic approaches on psychiatric disorders, combining with the characteristics of different neuromodulation techniques, we propose a new strategy of combined noninvasive brain stimulation to intervene in psychiatric disorders: high-intensity stimulation modulating the whole brain without inducing epilepsy should be as the basic treatment of psychiatric disorders, applying low-intensity stimulation with the advantage of specific targets/brain regions to modulate the residual symptoms or/and single symptom, and for refractory and acute psychiatric disorders, ECT/MECT is preferred for rapid symptom control; different noninvasive brain stimulation techniques can be combined with pharmacological and psychotherapeutic treatments, which will provide a new idea for the future development of this field.

DESIGN OF A CONICAL HORN ANTENNA FOR ULTRA-WIDEBAND APPLICATIONS

Due to rapid development in wireless technologies, ultra-wideband antennas are becoming increasingly important nowadays to cover many bands of frequencies and to support different applications by using single antenna. This paper outlines the design of an ultra- wideband conical horn antenna, which covers the range of frequencies from 6GHz to 18GHz with high gain, i.e., 23dB. This antenna can be effectively used for satellite communication and terrestrial broadcasting.

Robotics and Automation Roadmap: Thailand Perspectives

Robotics and automation are the key industries supporting Thailand’s strategic initiatives toward Thailand 4.0. This paper presents the development of an industry roadmap guiding the future research and development of related technologies in Thailand. The roadmap project was recently conducted during 2021–2022. The strategic targets for the future development of robotics and automation in Thailand were set to increase productivity and reduce adoption cost for the short term (2022–2023); create market opportunities for AI and industrial IoT technologies with data platform for the medium term (2024–2026); and prepare the Industry 5.0 system supporting emerging applications of digital twins and metaverse for the long term (2027–2030).

The efficacy of nano‐cellulose‐based composites in heavy metal removal from wastewater: a comprehensive review

AbstractThis comprehensive study delves into the innovative application of nano‐cellulose‐based composites for addressing the multifaceted challenges of wastewater treatment. This review introduces the innovative use of nano‐cellulose composites, particularly highlighting the novel synthesis routes that enhance their pollutant adsorption capabilities beyond conventional materials. These materials stand out for their regenerative properties and integration with functionalized matrix materials, marking significant advancements in sustainable wastewater treatment technologies. As the environmental and public health risks associated with untreated wastewater escalate, the development of efficient and sustainable treatment technologies has become crucial. Nano‐cellulose composites, derived from natural and renewable sources, offer significant advantages, including high surface area, superior mechanical strength, and notable biodegradability. This review explores various synthesis methods—mechanical, chemical, and enzymatic—that enhance the adaptability of nano‐cellulose composites to meet specific treatment needs. Main findings demonstrate these composites' effectiveness in removing a wide array of pollutants, including heavy metals, organic compounds, dyes, and microbial contaminants, with detailed removal capacities provided for each pollutant category in comparative tables. The potential for regeneration and reuse highlights their practical sustainability and economic viability. Future research should focus on improving production scalability and cost‐effectiveness, assessing environmental impacts and ensuring regulatory compliance to advance the application of nano‐cellulose composites in wastewater treatment. This study paves the way for these materials to become central to innovative, efficient, and eco‐friendly wastewater management strategies. © 2024 Society of Chemical Industry (SCI).

Biomechanical research based on the recognition and detection of the strength of table tennis hitting action

The reason why China’s table tennis can continue to this day is because it is an important heritage sports event in the country. In order to ensure the high-level performance of the Chinese table tennis team in the game, the identification and detection of its sports characteristics is a very meaningful work. With the development of computer technology, the use of multimedia intelligence technology to conduct research on competitive tactics has become a general consensus in the sports world. This paper explores the recognition and detection technology of the strength of table tennis hitting movements from the perspective of biomechanics, aiming to provide scientific basis and technical support for improving the performance of athletes. Based on the principles of biomechanics and combined with multimedia intelligent algorithms, this study developed a spatiotemporal graph convolutional network (STGCN) and a motion detection method based on Kinect technology to identify and quantify the hitting strength of table tennis players. The experimental results of this paper show that in the recognition of different types of movements based on the STGCN method, the correct recognition rate of 100 groups of movement strength is 84%, and the correct recognition rate of 500 groups of movement strength is 91.6%; in the recognition of different types of movement strength based on Kinect, the correct recognition rate of 100 groups of movement strength is 97%, and the correct recognition rate of 500 groups of movement strength is 99.6%; it can be seen that no matter how many groups of hitting movements are made, the correct recognition rate of strength based on Kinect is higher than that of STGCN.

Systemic Functional Linguistic Based on Semantic Web

This research aims to combine a functional and systematic linguistic approach with Semantic Web technology. The main aim of this research is to develop a framework that can facilitate systematized analysis and language modeling in the context of the semantic web. The research method used is a qualitative approach with focused data analysis. The data collected will involve text and web content relevant to the Semantic Web framework. The analysis was carried out using the principles and tools of systematic functional linguistic analysis to identify language structure, communicative function, and meaning in web content. The results of this research are expected to provide new insights into the understanding of how language can be organized and analyzed regularly in the context of the semantic web. Apart from that, this research is also expected to contribute to the development of Semantic Web technology by using a functional linguistic approach. It is hoped that the conclusions of this research will provide a deeper understanding of the role of language in the context of the semantic web and provide a basis for the development of more sophisticated and effective Semantic Web-based applications and systems.

When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?

With the development of blockchain technology, smart contracts have become an important component of blockchain applications. Despite their crucial role, the development of smart contracts may introduce vulnerabilities and potentially lead to severe consequences, such as financial losses. Meanwhile, large language models, represented by ChatGPT, have gained great attentions, showcasing great capabilities in code analysis tasks. In this paper, we presented an empirical study to investigate the performance of ChatGPT in identifying smart contract vulnerabilities. Initially, we evaluated ChatGPT's effectiveness using a publicly available smart contract dataset. Our findings discover that while ChatGPT achieves a high recall rate, its precision in pinpointing smart contract vulnerabilities is limited. Furthermore, ChatGPT's performance varies when detecting different vulnerability types. We delved into the root causes for the false positives generated by ChatGPT, and categorized them into four groups. Second, by comparing ChatGPT with other state-of-the-art smart contract vulnerability detection tools, we found that ChatGPT's F-score is lower than others for 3 out of the 7 vulnerabilities. In the case of the remaining 4 vulnerabilities, ChatGPT exhibits a slight advantage over these tools. Finally, we analyzed the limitation of ChatGPT in smart contract vulnerability detection, revealing that the robustness of ChatGPT in this field needs to be improved from two aspects: its uncertainty in answering questions; and the limited length of the detected code. In general, our research provides insights into the strengths and weaknesses of employing large language models, specifically ChatGPT, for the detection of smart contract vulnerabilities.

Surface metamorphosis techniques for sustainable polymers: Optimizing material performance and environmental impact

The transition to sustainable polymers is crucial for reducing the environmental footprint of additive manufacturing, particularly in fused deposition modeling (FDM). This study investigates surface metamorphosis techniques—methods to modify polymer surfaces at micro and nanoscale levels to enhance performance and minimize environmental impact. We explore plasma treatment, chemical etching, and laser texturing on biodegradable and recycled polymers, assessing their effects on surface properties, such as adhesion, roughness, and chemical resistance. Our results demonstrate significant enhancements in mechanical properties. For example, PLA’s tensile strength increased from 55.3 MPa (untreated) to 63.8 MPa (plasma treated), and its elongation improved from 4.2% to 5.1%. PHA showed a similar trend, with tensile strength rising from 45.1 MPa to 52.6 MPa, and elongation increasing from 5.6% to 6.4%. rPET and rPP also exhibited improvements, indicating the effectiveness of these surface treatments. Employing a multi-criteria decision-making approach, we assess and prioritize these techniques based on their mechanical enhancements and sustainability profiles. While this study presents hypothetical results, it establishes a comprehensive framework for optimizing surface metamorphosis processes, guiding future experimental research. Our findings suggest that tailored surface modifications can significantly improve the performance and environmental sustainability of polymers in FDM, offering pathways for integrating eco-friendly materials into advanced manufacturing. This work contributes to the development of green manufacturing technologies by highlighting surface metamorphosis as a key strategy for achieving high-performance and sustainable materials.

Aerodynamic Analysis of Rotor Spacing and Attitude Transition in Tilt-Powered Coaxial Rotor UAV

Complex aerodynamic characteristics and optimal control during the attitude transition of tilt-powered coaxial twin-rotor unmanned aerial vehicles (UAVs) represent key challenges in flight control design. This study investigates aerodynamic mechanisms and control parameter optimization during the transition of UAVs from vertical to forward flight. By establishing a dynamic model and combining theoretical and numerical analyses, the optimal rotor spacing is determined to be h = 0.5 R. The load distribution and aerodynamic characteristics of the aircraft are analyzed at different initial tilt angles during attitude transitions. At an initial tilt angle of δ = 9°, the thrust force increases by 439% compared with that at δ = 3°, and the tip speed increases by 15% and 35% compared with that at δ = 3° and δ = 13°, respectively. The results indicate that a tilt angle of δ = 9° results in a higher turbulent dissipation rate and rotor layout efficiency, with a smoother vortex flow and more orderly distribution. The interference between the twin-rotor tip vortices is relatively weak, resulting in excellent symmetry and aerodynamic stability. Through the improvement of the theoretical model and parameter optimization of a novel tilt-powered coaxial twin-rotor UAV, this study enhances UAV flight stability and provides valuable insights and validation for the further development of UAV technology.

Evolution of Plant Genome Size and Composition.

The rapid development of sequencing technology has led to an explosion of plant genome data, opening up more opportunities for research in the field of comparative evolutionary analysis of plant genomes. In this review, we take changes in plant genome size and composition as a starting point and describe the effects of polyploidy, whole genome duplication and transposable elements changes on plant genome architecture and evolution, respectively. In addition, to address the lack of relevant information in some areas, we also collected and analyzed 234 representative plant genome data as a supplement. We aim to provide a global, up-to-date summary of information on plant genome architecture and evolution in this review.

Analysis and Design of a Recyclable Inductive Power Transfer System for Sustainable Multi-Stage Rocket Microgrid with Multi-Constant Voltage Output Characteristics—Theoretical Considerations

After a traditional one-time rocket is launched, most of its parts will fall into the atmosphere and burn or fall into the ocean. The parts cannot be recycled, so the cost is relatively high. Multi-stage rockets can be recovered after launch, which greatly reduces the cost of space launches. Moreover, recycling rockets can reduce the generation of waste and reduce pollution and damage to the environment. With the reduction in rocket launch costs and technological advances, space exploration and development can be carried out more frequently and economically. It provides technical support for the sustainable use of space resources. It not only promotes the sustainable development of the aerospace field but also has a positive impact on global environmental protection, resource utilization, and economic development. In order to adapt to the stage-by-stage separation structure of the rocket, this paper proposes a new multi-stage rocket inductive power transfer (IPT) system to power the rocket microgrid. The planar coil structure is used to form wireless power transfer between each stage of the rocket, reducing the volume of the magnetic coupling structure. The volume of the circuit topology structure is reduced by introducing an auxiliary coil. An equivalent three-stage S/T topology is proposed, and the constant voltage output characteristics of multiple loads are analyzed. A multi-stage coil structure is proposed to supply power to multiple loads simultaneously. In order to eliminate undesired magnetic coupling between coils, ferrite cores are added between coils for effective electromagnetic shielding. The parameters of the magnetic coupling structure are optimized based on the finite element method (FEM). A prototype of the proposed IPT system is built to simulate a multi-stage rocket. A series of experiments are conducted to verify the advantages of the proposed IPT system, and the three-stage rocket system efficiency reached 88.5%. This project is theoretical. Its verification was performed only in the laboratory conditions.