Technological Landscape Research Articles

Comprehensive and open model structure for the design of future energy systems with sector coupling

Energy system modeling supports the identification of the optimal technology mix to achieve decarbonization targets across multiple sectors. Especially when sector coupling is considered for future technology landscapes, the large solution space leads to a complex optimization problem in terms of computational feasibility and data requirements. The authors identify a research gap in developing an open-source model structure with consideration of the relevant future technologies of power, heat, other conversions, transport, and industry defined with a new level of detail in a sector-coupled energy world and in including detailed insights into the accompanying definition process. A strong focus is set on the transparency and reproducibility of the provided open-source structure and its flexible and consistent application to different framework families to foster the ease of applicability of this work. The paper first gives a detailed description of the model base, including an overview of the model frame definition process, the core adjustments to model sector coupling appropriately, and the measures to make the resulting problem computationally feasible. The core result of this work is the presentation of a detailed model structure to model sector coupling for a German energy system, yielding approximately 2000 processes that characterize the heterogeneous and technology-open landscape of existing and possible future technologies across relevant energy sectors. This supports energy system modelers in understanding and reproducing energy system models based on open-source data and thereby tries to accelerate the research on sector coupling and its role in the energy transition.

Managing Organizational Capital in the Digital Age: A Study of Technology Adoption as a Competitive Advantage in Private Higher Institutions in South Sumatera

This study investigates the management of organizational capital within the context of private higher institutions in South Sumatera, focusing on the adoption of technology as a means to gain a competitive advantage in the digital age. In today's rapidly evolving technological landscape, organizations are compelled to adopt digital innovations to enhance their operational efficiency, educational delivery, and overall performance. Using a qualitative research approach, this study explores the strategies and challenges faced by private higher institutions in South Sumatera as they navigate the complexities of technology adoption. The findings shed light on the various factors influencing the adoption of technology, including organizational culture, leadership support, resource availability, and external pressures. Moreover, the study examines how effective technology adoption contributes to organizational capital enhancement, enabling institutions to differentiate themselves and maintain competitiveness in the dynamic higher education sector. The insights derived from this research provide valuable implications for private higher institutions in South Sumatera and beyond, offering guidance on optimizing technology adoption strategies to harness the full potential of digital tools as a competitive advantage in the contemporary educational landscape.

A Review of Vision-Based Pothole Detection Methods Using Computer Vision and Machine Learning.

Potholes and other road surface damages pose significant risks to vehicles and traffic safety. The current methods of in situ visual inspection for potholes or cracks are inefficient, costly, and hazardous. Therefore, there is a pressing need to develop automated systems for assessing road surface conditions, aiming to efficiently and accurately reconstruct, recognize, and locate potholes. In recent years, various methods utilizing (a) computer vision, (b) three-dimensional (3D) point clouds, or (c) smartphone data have been employed to map road surface quality conditions. Machine learning and deep learning techniques have increasingly enhanced the performance of these methods. This review aims to provide a comprehensive overview of cutting-edge computer vision and machine learning algorithms for pothole detection. It covers topics such as sensing systems for acquiring two-dimensional (2D) and 3D road data, classical algorithms based on 2D image processing, segmentation-based algorithms using 3D point cloud modeling, machine learning, deep learning algorithms, and hybrid approaches. The review highlights that hybrid methods combining traditional image processing and advanced machine learning techniques offer the highest accuracy in pothole detection. Machine learning approaches, particularly deep learning, demonstrate superior adaptability and detection rates, while traditional 2D and 3D methods provide valuable baseline techniques. By reviewing and evaluating existing vision-based methods, this paper clarifies the current landscape of pothole detection technologies and identifies opportunities for future research and development. Additionally, insights provided by this review can inform the design and implementation of more robust and effective systems for automated road surface condition assessment, thereby contributing to enhanced roadway safety and infrastructure management.

Integrating Cloud Services with Mobile Applications for Seamless User Experience

In the modern digital era, the integration of cloud services with mobile applications has emerged as a pivotal strategy for delivering a seamless and dynamic user experience. This approach not only enhances the functionality of mobile applications but also ensures that users can access services and data in real-time, regardless of their location. As mobile devices continue to dominate the technology landscape, the demand for responsive, scalable, and user-centric applications has skyrocketed. Cloud services, with their inherent capabilities such as storage, computing power, and advanced analytics, provide the backbone for developing applications that meet these demands. The integration of cloud services with mobile applications offers numerous advantages. It allows for the offloading of heavy computational tasks to cloud servers, thereby preserving the limited processing power and battery life of mobile devices. This capability enables mobile applications to perform complex tasks such as real-time data processing, machine learning inference, and multimedia content rendering without compromising user experience. Additionally, cloud services facilitate the synchronization of data across multiple devices, ensuring that users have consistent access to their data and settings regardless of the device they are using. This is particularly important in scenarios where users switch between devices, such as moving from a smartphone to a tablet or laptop. Moreover, the use of cloud services in mobile applications enhances security and reliability. Cloud providers typically offer robust security features, including data encryption, identity and access management, and continuous monitoring, which are essential for protecting sensitive user data. By leveraging these features, mobile applications can offer a higher level of security than would be feasible with on-device storage and processing. Furthermore, the reliability of cloud services ensures that applications remain available and functional even during peak usage times or when the user is in a location with poor network connectivity. Through techniques such as caching and offline access, cloud-integrated mobile applications can continue to operate smoothly even when real-time access to cloud resources is temporarily unavailable.

Analyzing key drivers of digital transformation: A review and framework

In the digital era, comprehending the factors that drive digital transformation (DT) is crucial for organizations aiming to navigate the evolving technological landscape. This systematic review focuses on identifying and analyzing the key drivers of DT, drawing insights from 19 recognized DT readiness indexes. We examine the dimensions and indicators used across these indexes, highlighting their relevance and frequency of occurrence to uncover the primary factors influencing DT. The findings are synthesized into a comprehensive framework that offers strategic guidelines for organizations. This framework not only aids in understanding the core drivers of DT but also provides practical recommendations for implementing effective DT strategies. By emphasizing the critical drivers rather than the indexes themselves, our study shifts the focus towards actionable insights that can guide entities, policymakers, and academics in the digital transformation journey. The urgency of DT, further accelerated by the COVID-19 pandemic, enhances the relevance of our findings in shaping resilient and adaptable digital strategies.

Architectural Approaches to Migrating Key Features in Android Apps

The rapid evolution of Android platforms and user expectations necessitates continual enhancement and migration of key features within Android applications. This paper explores various architectural approaches to effectively migrate essential functionalities in Android apps, ensuring scalability, maintainability, and optimal user experience. Initially, the study delineates the challenges inherent in feature migration, including compatibility issues, performance constraints, and the preservation of existing user interfaces. It then examines prominent architectural paradigms such as Model-View-View Model (MVVM), Clean Architecture, and modular architectures, evaluating their suitability for facilitating seamless feature transitions. The research further investigates the role of microservices and component-based designs in enabling incremental migration, allowing developers to update or replace specific modules without overhauling the entire application. Additionally, the paper discusses best practices for managing dependencies, ensuring backward compatibility, and employing automated testing to mitigate risks during the migration process. Case studies of successful Android app migrations are presented to illustrate the practical application of these architectural strategies. The findings highlight that adopting a modular and flexible architectural framework significantly enhances the ability to migrate key features efficiently while minimizing disruptions. Moreover, the integration of robust architectural patterns fosters better code maintainability and accelerates the development cycle for future updates. In conclusion, this study provides a comprehensive guide for Android developers aiming to navigate the complexities of feature migration, advocating for architectural approaches that balance innovation with stability. The insights garnered offer valuable implications for the design and evolution of resilient Android applications in a dynamic technological landscape.

Managing digital records within Nigeria's regulatory framework

Nigeria has a complicated legal and regulatory environment. This complicated history brings to mind the oft-quoted Biblical phrase, “There was no king in Israel, and every man did what was right in his own eyes.” (New King James Version Bible, 1982 Judges 17:6) As the technological landscape began to change, strong legislative frameworks are now required to guarantee the security, accessibility, and integrity of digital information. Since enacting the Nigeria Data Protection Regulation (NDPR) in 2019, and the subsequent passing into law of the Nigeria Data Protection Act (NDPA) 2023, and establishing the Nigeria Data Protection Commission (NDPC), Nigeria has reached landmark milestones in Nigeria's journey toward improving data protection and privacy. This paper provides a comprehensive analysis of the recent developments in Nigeria's data protection landscape and implications for digital records management in government agencies and businesses. This paper further tries to examine the implications of these developments for digital records management within Government Agencies and Businesses. It will also provide a brief history of digital records in Nigeria. Furthermore, it will analyze key provisions of the NDPA and the NDPC's strategic priorities and identify opportunities and challenges for aligning records management practices with the new framework. The paper also reviews the relationship between records management and organizational credibility in Nigeria, discussing how proper record management is crucial for the credibility of public institutions and organizations in Nigeria. Additionally, it attempts to show the benefit of data-driven regulatory approaches to assist organizations in navigating Nigeria's complex regulatory landscape. This paper offers recommendations for businesses, agencies, and regulators to utilize the NDPA and its strategies to enhance the adoption of digital records management. The methodology for selecting and analyzing sources involved a comprehensive literature review and policy analysis, focusing on key legal documents, academic articles, and reports from relevant agencies.

A review on the application of advanced soil and plant sensors in the agriculture sector

Sensors implemented in agriculture play a significant role in soil and plant growth and enable real-time physical and chemical interactions in the environment, such as temperature, moisture/humidity, pH, and contaminant levels. Additionally, these sensors provide essential data that can enhance crop growth scenarios, resist biotic and abiotic stresses, and improve crop production. This article provides a thorough examination of the evolving landscape of agricultural sensor technologies, perspectives, and challenges in the field. Currently, some of the key soil sensors used in agricultural programs, include those that measure moisture, temperatures, pH, organic matter components, insects, and soil pollutants. On the other hand, nanobiotechnology sensors implement optical, wireless, or electrical signals to provide information about plant signaling molecules related to the conditions of agronomic equipment. We shed more light on the use of nanomaterial-facilitated transport of genetically encoded sensors as devices for the investigation and advancement of advanced plant sensors. Innovative technologies, including wireless sensor networks and plant wearables, are also addressed with regard to their potential for precision agriculture. The paper concludes by presenting future perspectives and difficulties in the fields of soil sensors and intelligent agriculture. In summary, we provide a comprehensive and forward-looking perspective on the potential of nanotechnology to facilitate the development of intelligent plant sensors. These sensors are capable of communicating with and controlling electrical equipment, with the aim of tracking and improving the output and resources applied to individual plants.

Revolution, evolution, or regression – the transformation of assessments through times of pandemic and AI

In this paper we will discuss the tensions between, revolution, evolution and regression that are shaping assessment practice in higher education. The two major influences on shaping assessment in higher education in recent years have been: (1) the pandemic that pressurised universities to embrace online practice, sometimes temporarily. When the post pandemic pushback restored ‘tried and tested’ face to face practices in exam centres and traditional assessment spaces (e.g. labs), it revealed the potential for adopting online tools and practices and the value of enhancing digital competences for staff and students; and (2) Artificial Intelligence (AI) as a disruptor, which since the autumn of 2022 continues to influence approaches and attitudes to assessment. Institutional concerns for impact on reputation and the focus on integrity and student conduct is shaping the assessment landscape as are the technological and pedagogical opportunities and risks presented by proctoring software and generative AI. We claim that elements of revolution, evolution and regression can be traced in the developing landscape of assessment redesign and technology mediated assessment. The paper will synthesise the outcomes of two projects, at the Centre for Online and Distance Education, University of London: (a) the longitudinal evaluation of assessment practises between 2020 and 2023 and (b) a project that looked at perceptions of academic integrity in the current climate of AI threats and opportunities.

Unveiling AI's Accent in Spoken English Education

Viewed against the backdrop of the technological landscape, artificial intelligence has become the shining point of the 21st century. In recent years, AI has been pervasively applied into various realms in modern society, among which the incorporation into spoken English education has become one of the most heated topics. To navigate the application of AI in spoken English learning, this paper evaluates the effectiveness based on the Interaction Hypothesis proposed by Michael Long. To be specific, this research focuses on the comprehensive application of AI in the realm of spoken English acquisition, underscoring why AI language models have gained in popularity in innumerable apps concerning language learning and how AI serves as a double-edged sword in spoken English education. By illustrating the language acquisition process, a strong connection between the Interaction Hypothesis and AI-based spoken English learning is constructed and clarified. Through all-round evaluation and analysis, the article concludes that despite challenges, AI has not only acted as a knowledgeable mentor for individual learners,but also provided an effective driving force for the innovation and improvement of spoken English education. In the future, more advancements concerning human-like interactions and immersive learning environment are likely to emerge.

Threats and Opportunities of Students’ Use Of AI-Integrated Technology (ChatGPT) in Online Higher Education: Saudi Arabian Educational Technologists’ Perspectives

This research study explored the perspectives of 20 educational technologists from four Saudi Arabian universities regarding the integration of AI-powered technology, particularly ChatGPT, into online higher education. The study used a qualitative research method that relied on the principles of theoretical sampling to select participants and conducted in-depth interviews to collect their insights. The approach taken for data analysis was thematic analysis, which uncovered a rich range of insights on both the challenges and opportunities associated with students’ use of AI-integrated technology in the context of online higher education. Ten significant challenges emerged that shed light on the complexities and intricacies of integrating AI-powered technology into educational environments. These challenges included issues related to technological infrastructure, pedagogical adaptation, and the need for comprehensive training programs to empower both teachers and learners. Additionally, eight threats were examined that highlighted concerns about data security, privacy, and potential risks associated with AI technology in educational institutions. This study not only provided a comprehensive overview of the current landscape of AI-integrated technology in Saudi Arabian higher education, but also provided valuable insights for education stakeholders, technologists, and policy makers. It underscored the necessity of proactive measures to mitigate challenges and threats while harnessing the opportunities presented by AI technology to enhance the quality and effectiveness of online higher education.

Financial Technology and Innovation for Sustainable Development

This Special Issue on “Financial Technology and Innovation for Sustainable Development” includes a diverse collection of research papers that explore the evolving landscape of financial technologies (FinTech) and their implications for sustainable development [...]

Strategies and Implementation of Exploring the Integration of Artificial Intelligence in Ideological and Political Education

The rapid evolution of artificial intelligence (AI) technology heralds significant transformations in education, especially in ideological and political education, where traditional teaching methods are being reassessed due to mounting challenges. This paper embarks on a mission to investigate how AI technology can revolutionize the delivery of political science courses by adopting a “human-computer collaboration” model. The central aim is to enhance the effectiveness and quality of teaching while stimulating students' critical thinking skills. It delves into the landscape and potential applications of AI technology in this field, emphasizing the role of intelligent teaching assistants in augmenting teachers' capabilities for lesson planning and delivery. This study not only outlines the design and implementation of AI tools but also emphasizes their potential to foster a more engaging and intelligent learning environment. By doing so, it contributes to the discourse on leveraging AI to advance teaching platforms and classroom practices, thereby enhancing the educational experience.

Innovative Marketing Strategies for the Transformation of Islamic Education

This research aims to explore the integration of technology into the curriculum and the implementation of digital marketing strategies within Islamic educational institutions. This study stems from the need to adapt educational practices to the rapidly changing technological landscape and to enhance the visibility and appeal of these institutions through modern marketing approaches. Employing a qualitative research design with a case study approach, this study seeks to understand the transformation processes occurring within a specific Islamic school. Data were collected through observation, interviews, and documentation. The data analysis was conducted using interactive model, which involves data reduction, data display, and conclusion drawing. The findings reveal the integration of technology into the curriculum has significantly increased student engagement and learning effectiveness through the use of e-learning platforms and mobile applications. The adoption of digital technologies has enriched learning resources and supported contemporary teaching methods that align with current educational needs. The study also evaluates the effectiveness of the marketing strategies employed, providing insights into their impact on the institution's outreach and growth. The findings are expected to contribute to the understanding of how Islamic educational institutions can successfully combine technology and digital marketing to improve educational outcomes and institutional visibility in a competitive environment.

Conquering Digital Marketing: Powerful Strategies for Accelerating Business Growth

Understanding digital marketing tactics is now crucial for company expansion in the digital age due to the quickly changing technology landscape. This study investigates the efficacy of modern digital marketing strategies with an emphasis on how they support significant company growth. This study is significant because it offers practical advice on how to use data analytics, customization, and cutting-edge technology like machine learning and artificial intelligence to maximize digital marketing initiatives. The main goal of this study is to determine and evaluate the best digital marketing tactics that spur company expansion. Using a thorough literature review methodology, the study assesses the effects of different digital marketing methods on business performance by looking through contemporary academic sources. Important results show that cross-channel and multi-channel marketing techniques greatly improve brand coherence and consumer engagement. Enhancing targeting accuracy and campaign efficacy requires the use of data analytics and artificial intelligence capabilities. While ethical principles and digital transformation are essential for maintaining consumer trust and competitive advantage, personalization and customer feedback integration play a critical role in driving engagement and conversion rates. Furthermore, social media, influencer marketing, and strong content tactics work well to increase brand awareness and adherence. Strategic agility is ensured by remaining up to date with emerging trends, and marketing outcomes are further enhanced through optimization of conversion rates and user experience design. These findings' implications imply that companies should take a multifaceted strategy to digital marketing, including cutting-edge technologies and emphasizing ethical and personalized practices. It is advised to use multi-channel marketing techniques, make use of AI and data analytics, prioritize ethical marketing, and continuously improve user experience and content. Future studies ought to investigate how new digital trends—like gamification and behavioral targeting—affect the efficiency of marketing campaigns and the expansion of companies. In addition to offering a foundation for companies hoping to succeed in the cutthroat digital economy, this research advances our understanding of successful digital marketing tactics.

Analysis of Reform in Hybrid Teaching for University Landscape Engineering

Since the establishment of the landscape architecture program in the 1950s, landscape engineering has consistently been the core and distinctive course of the program. It is closely related to courses such as landscape planning and design, as well as landscape architecture design, collectively forming the core curriculum system of the landscape architecture program. Landscape engineering, typically serving as the foundation, becomes a required course for landscape architecture majors after incorporating content related to landscape design. It holds a crucial position in talent cultivation. Through the study of this course, students can gain a comprehensive understanding of the achievements in landscape engineering, become well-versed in contemporary theoretical knowledge in the field, and develop strong practical skills, thus evolving into high-quality talents that meet industry requirements.

Typewriting Services in Tacloban City amid the Digital Age: A Case Study

Typewriting, once a common service, has largely faded due to the rise of computers and digital technology. However, in Tacloban City, Philippines, one typewriting business has persisted for over 26 years. The study explores the factors behind the continued operation of this lone typist, investigating their motivations, clientele, and adaptation strategies in the digital age. Researchers employed a qualitative case study approach, utilizing purposive sampling to gather data from the sole typewriting service provider. Thematic analysis, following Caulfield's (2019) framework, was used to analyze the data. Findings reveal that the typist's dedication, specialized services, and specific customer base who prefer traditional methods contribute to the business's enduring success despite the widespread availability of digital alternatives. This study offers deeper understanding on the resilience of traditional businesses in a rapidly evolving technological landscape and provides insights into the dynamics of creative destruction and cultural lag within a specific industry.

Mediating Effect of Transformative Learning Process on the Psychological Safety and Transformative Learning Outcome among Information Technology Firms in Beijing, China

This paper investigates the mediating effect of transformative learning processes on the relationship between psychological safety and transformative learning outcomes among information technology firms in Beijing, China. With the rapid evolution of the technology industry, fostering a conducive learning environment becomes essential for employee development and organizational success. Drawing on a sample of information technology firms in Beijing, this study explores how psychological safety influences transformative learning outcomes, and whether transformative learning processes mediate this relationship. The research employs a structured questionnaire survey to collect data from employees, focusing on variables related to psychological safety, transformative learning processes, and transformative learning outcomes. Preliminary findings indicate a significant positive association between psychological safety and transformative learning outcomes. Moreover, transformative learning processes, including social support, attitude toward uncertainty, and criticality, demonstrate a mediating effect on this relationship. Specifically, employees who perceive higher levels of psychological safety are more likely to engage in transformative learning processes, leading to enhanced transformative learning outcomes. These results underscore the importance of promoting psychological safety and facilitating transformative learning processes within information technology firms. By fostering a supportive and inclusive work environment, organizations can empower employees to embrace change, cultivate innovative thinking, and ultimately drive organizational success in the dynamic technology landscape of Beijing, China.

Landscape of Subcutaneous Administration Strategies for Monoclonal Antibodies in Oncology.

In recent decades, subcutaneous (SC) administration of monoclonal antibodies (mAbs) has emerged as a promising alternative to intravenous delivery in oncology, offering comparable therapeutic efficacy while addressing patient preferences. This perspective article provides an in-depth analysis of the technological landscape surrounding SC mAb administration in oncology. It outlines various technologies under evaluation across developmental stages, spanning from preclinical investigations to the integration of established methodologies in clinical practice. Additionally, this perspective article explores emerging trends and prospective trajectories, shedding light on the evolving landscape of SC mAb administration. Furthermore, it emphasizes key checkpoints related to quality attributes essential for optimizing mAb delivery via the SC route. This review serves as a valuable resource for researchers, clinicians, and healthcare policymakers, offering insights into the advancement of SC mAb administration in oncology and its implications for patient care.

KONTEKSTUALISASI PENAFSIRAN SURAT AL-HUMAZAH DI ERA DISRUPSI (KAJIAN TAFSIR TEMATIK)

This research examines the correlation between Surah Al-Humazah and the contemporary era of disruption. Bullying, which is detrimental, occurs in various contexts, including schools, workplaces, and the online world. Its impacts are detrimental to victims physically, psychologically, and emotionally. Prevention efforts require collaboration from various parties, including educational institutions, workplaces, communities, and parents. Demonstrating wisdom, patience, and engaging in constructive dialogue, as exemplified by Prophet Muhammad (PBUH), remains relevant in addressing bullying, even in the current era of disruption. Further research is needed to gain a deeper understanding of this issue, such as contextualizing the interpretation of Surah Al-Humazah in the era of disruption. The aim of this research is to examine Surah Al-Humazah in the context of the present time. The research method used is Library Research, employing a Qualitative Descriptive Analysis approach. Findings from this research indicate that Surah Al-Humazah condemns those who spread slander and mockery, affirming the concept of punishment in Hell for offenders. Although interpretations by scholars may vary, they all condemn negative behavior towards others. Hell is depicted as a destruction that reinforces the trait of arrogance. In the era of disruption, the analysis of this Surah emphasizes the importance of ethics in human interactions, particularly in the digitally influenced technological landscape. This Surah serves as a warning against negative behaviors such as defamation and slander, which are increasingly prevalent in contemporary times. The analysis of this Surah encompasses a deep understanding of the impact of negative behavior in the digital era, the social responsibility of leaders, information manipulation on social media platforms, and the psychological impact of such detrimental behavior. This Surah emphasizes the importance of values such as justice, integrity, and spiritual morality in everyday life. A profound understanding of Surah Al-Humazah can contribute to the creation of a more harmonious and fair society amidst the ongoing evolution of social dynamics.