Development Environment Research Articles

Critical Perspectives on the Adoption of Circular Design Strategies in the Built Environment for Sustainable Development in Sub-Saharan Africa

Adopting circular design strategies (CDS) in building development presents a transformative approach toward sustainability by promoting resource efficiency and reducing environmental impacts. This paper examined the current landscape of CDS adoption, focusing on barriers, enablers, benefits, and critical success factors within the built environment (BE) in Sub-Saharan Africa. Drawing on a comprehensive review of global contexts literature, the study identifies and categorizes 185 factors, subsequently pruning them to 121 pertinent to the design stage. Barriers such as low awareness, regulatory gaps, and economic constraints are explored alongside enablers like leadership commitment, technological innovation, and supportive policies. The paper underscores the pivotal role of these factors in shaping sustainable building practices, emphasizing the need for tailored strategies to overcome local socio-cultural, economic, and technological challenges in the BE of Sub-Saharan Africa. This research contributes a nuanced understanding of how CDS can be effectively integrated into the BE, offering practical implications for policymakers, industry stakeholders, and researchers striving to embrace sustainable practices.

Knowledge-oriented management systems for complex objects

The article examines the issue of improving the efficiency of complex systems management through the use of knowledge-based methods and technologies. The article emphasizes the need to revise traditional approaches to scientific research and knowledge management by introducing a transdisciplinary paradigm and artificial intelligence to achieve sustainable development and knowledge evolution. The authors try to solve the problem of management in the face of uncertainty and incomplete information, which is typical for such systems. The methods of integrating knowledge from different fields to create an integrated management system are considered. The basis of management is the holarchic structure, which organizes the system in the form of a hierarchy of holons. Each holon has a specific role and knowledge, which ensures the flexibility and adaptability of the system. The study also uses self-organization and learning methods to ensure continuous improvement of the systemʼs functioning. The article discusses the requirements for knowledge-based management systems, such as flexibility, adaptability, data and knowledge integration, learning and self-organization, transparency of decisions, and resilience to errors and failures. The findings of the study emphasize the importance of implementing knowledge-based approaches in the management system of complex facilities. This allows to increase the level of adaptability and stability of management, which is critical in todayʼs environment of dynamic development of technology and knowledge. The proposed methods can be applied in various fields, which makes them universal and useful for a wide range of scientific and practical tasks, providing a high level of adaptability, efficiency and stability of complex objects management, taking into account modern requirements and challenges.

NHPP Software Reliability Model with Rayleigh Fault Detection Rate and Optimal Release Time for Operating Environment Uncertainty

Software is used in diverse settings and depends on development and testing environments. Software development should improve the reliability, quality, cost, and stability of software, making the software testing period crucial. We proposed a software reliability model (SRM) that considers the uncertainty of software environments and the fault detection rate function as a Rayleigh distribution, with an explicit mean value function solution in the model. The goodness-of-fit of the proposed model relative to several existing nonhomogeneous Poisson process (NHPP) SRMs is presented based on three software application failure datasets. Further, a cost model is also presented that addresses the error-removal risk level and required time. The optimal testing release policy for minimizing the expected total cost (ETC) is also determined for NHPP SRMs. The impact of the software environment is studied by varying it, and the optimal release times and minimum ETCs are compared. The goodness-of-fit comparison confirmed that the proposed model has more accurate prediction values than other models. Further, whereas the existing models applied to the cost model do not change after a certain operation period, the proposed model yields changes in release time even for long operating periods.

Internet of things and long range-based bridge slope early detection systems

<p><span>This research proposes an internet of things and long range (LoRa)-based bridge slope status monitoring and warning system that is wireless, low-cost, and user-friendly, with continuous data sent. Bridge inspection officers can easily obtain bridge slope data via a web browser on a cell phone. The design uses Arduino integrated development environment software and an ITGMPU accelerometer sensors, TTGO ESP32, cellphones, successfully identified tilt angle variations from 0.11° to 15.2° were the research's outputs, and and they were continuously transmitted to the bridge inspection officer's mobile phone. Measurements of throughput, quality of service (QoS), and latency characteristics have been made to assess the internet network's performance. The network system performance statistics show an average measured network delay of 1.2 seconds, a throughput of 85 bps, and a QoS of 0%. Consequently, the system performs well and the internet network performance falls into the very good range.</span></p>

Exploring Urbanization Strategies by Dissecting Aggregate Crowd Behaviors: A Case Study in China

Town development, a crucial stage of urbanization, has been increasingly prioritized in recent sustainable socio-economic growth strategies. Vitality, especially the one measured by aggregate crowd behaviors, is widely recognized as a crucial development element. Conducting comprehensive assessments of the drivers of town vitality, particularly crowd vitality, is thus essential for addressing challenges and monitoring progress. This study examines representative towns in China and employs multiple datasets along with XGBoost-SHAP to investigate the mechanisms of development environment factors on aggregate crowd vitality. Key findings highlight the study’s novelty and broader implications: (1) The degree of industrial agglomeration is the most significant factor impacting the dependent measures, providing new data-driven insights into the role of economic clustering in town development. (2) Other indicators, such as the minimum distance to the town center, the enclosure, and car and pedestrian friendliness, can effectively predict town vitality, offering practical considerations for town planning. (3) Industrial innovation and diversification, rational planning of living circles, and enhancement of town conditions emerge as three crucial strategies for promoting urbanization. This study enhances empirical insights with strategies for addressing urbanization challenges, emphasizing how crowd data can be used to inform urbanization policies and planning practices, aiding urban planners in building more sustainable systems.

The Evolution of Angular CLI and Schematics : Enhancing Developer Productivity in Modern Web Applications

This article examines recent advancements in Angular tooling and developer environments, focusing on their impact on productivity and code quality. We analyze Angular CLI's evolution, Schematics's introduction for task automation, and the transition from TSLint to ESLint for improved code linting. We demonstrate how these optimizations streamline the development process, reduce boilerplate code, and enhance overall project maintainability through literature reviews, case studies, and developer surveys. Our findings indicate a significant reduction in development time and increased code consistency across projects. The article also explores potential areas for further tooling enhancements, providing insights for Angular core developers and the broader web development community. This article contributes to the ongoing discourse on developer experience and tooling optimization in modern web application frameworks.

Exploring a New CPD Model for Promoting Chinese Teachers’ Success: A Review Paper

People's ideas are constantly evolving with changes in society and the times. This attracted more attention to the issue of continuous professional development for Chinese teachers. The traditional approach to professional development only addresses issues relevant to the current situation and may not be sufficient to support teachers' growth in more complex and challenging contexts. This paper examines the environment and context of teacher professional development, focusing on both domestic and international educational theories and practices. It proposes a systematic solution that is aligned with the current state of teacher professional development in China.

Data-driven prediction of early language delay at Youth Health Care Services in the Netherlands

Abstract Introduction Language development in early childhood significantly impacts future academic success, social interaction, and emotional well-being. This study aimed to develop and evaluate a prediction model using data on developmental milestones and parents’ socio-economic background known at age 2, and translate the results into an interactive digital dashboard and pilot it with Youth Health Care (YHC) professionals and parents. Methods A mixed-method study on retrospective cohort of children attending YHC at age 2, followed up until age 4. Data on language development, gender, parental education, and home language environment were obtained from YHC digital dossiers and linked to parental socio-economic status characteristics, and perinatal outcomes and healthcare costs using a secure remote access environment of Statistics Netherlands. Random forest and logistic regression models were computed with language development at age 4 as an outcome, initially using all available data at age 2 as predictors and then with a restricted model using variables readily available in YHC settings. Models performance was assessed using sensitivity, specificity, and AUC value. Results were visualized through an interactive dashboard and pilot-tested in simulated consultations. Results Among 9,148 children, 13.2% had language development delay at age 4. The full model had an AUC of 0.78, while the restricted model (gender, parental education, language environment, and language development), achieved an AUC of 0.77. YHC professionals and parents recognized the value of individualized, data-driven risk assessment for potential language delay to stimulate the discussion of preventive interventions. Conclusions A good quality prediction model for language development at age 4 can be derived from just a few background characteristics of the child and parents at age 2. The digital dashboard presents a practical approach of integrating prediction model results into daily YHC practice. Key messages • Language development at age of 4 can be predicted as early as age of 2 using just a few background characteristics of child and parents, which presents a window of opportunity for prevention. • The digital dashboard presents a practical approach of integrating prediction model results into preventive care practice.

Enhancing educational efficiency: Generative AI chatbots and DevOps in Education 4.0

AbstractThe emergence of new technologies has developed a new industrial need for engineering graduate students. This modern industry needs a modern educational framework to support further development. This research revolves around developing the learning methodological approach for university courses that aligns with Education 4.0 and can fulfill the essential knowledge requirements for future engineers in Industry 4.0. We used a constructive approach as a baseline methodology already proven in the field of engineering education. On the other hand, we modified this approach by implementing Industry 4.0 standards, such as Agile methodology, DevOps tools, and Artificial intelligence chatbots. In this way, we managed to establish one more step in the digital transformation of education as one of the paramount cornerstones of Industry 4.0. As a result, during the course, Agile methodology and DevOps tools created a learning environment very similar to the real software development environment in companies. The efficiency of the delivery of the learning material also increased by implementation and integration of AI chatbots. This was tracked by the number of projects developed during course implementation. The study showed that in the field of education, the implementation of novel approaches developed in the industry to increase efficiency can be implemented in the educational environment. It also showed that the implementation of those methodologies does not hinder but improves the efficiency of the educational cycle.

The Jurassic Park and Ata Modo in Eastern Indonesia

Famous for its distinctive Komodo dragons (Varanus Komodoensis) and features home to underwater ecosystems, the Komodo National Park (KNP) has become a prominent and favorite destination of visitors locally and globally in recent years. Situated in Labuan Bajo, East Nusa Tenggara Province, Indonesia, KNP has three prime islands: Rinca, Komodo, and Padar. The infrastructure development in KNP formulated in 2020 by the central government of Indonesia, including establishing offices, photograph areas, clinics, warehouses, public spaces, and tour guides' offices, raises controversy about this decision. While the government of Indonesia persuaded citizens that this erection was a conservation effort for protection, preservation, and utilization, UNESCO refused this plan by enacting a refusal document and assessing whether the development could affect the property's Outstanding Universal Value (OUV) before the review of the relevant environmental impact analysis by the International Union for Conservation of Nature (IUCN). Additionally, the local people argue this plan will threaten the giant lizard's habitat regarding the entry of heavy equipment and disadvantage local tourism actors. Using a systematic literature review method, this piece collects and discovers a different concept in the issue of infrastructure development in KNP instead of another scholar's perspective. Walpole and Goodwin (2000) find that economics and facilities are the prominent aspects of tourism, while UNESCO considers the environment in development. In contrast to popular belief, this paper indicates a significant role of local people, known as Ata Modo, in the KNP establishment. This paper's findings propose that Ata Modo, as local people/tribes in KNP, should not be relocated from their area and instead be involved in the decision-making process. The bottom-up approach can be executed as a practice in a democratic process. From the fiscal approach, this development will positively impact local people's economy through collaboration and stakeholder participation.

Chronic Hypoxia in an EXTrauterine Environment for Neonatal Development Impairs Lung Development.

Severe fetal hypoxia poses a significant risk to lung development resulting in severe postnatal complications. Existing chronic hypoxia animal models lack the ability to achieve pathologically reduced fetal oxygen without compromising animal development, placental blood flow, or maternal health. Using an established model of isolated chronic hypoxia involving the Extrauterine Environment for Neonatal Development (EXTEND), we are able to investigate the direct impact of fetal hypoxia on lung development. Oxygen delivery to preterm fetal lambs (105-110 days GA) delivered by cesarean section was reduced, and animals were supported on EXTEND through the canalicular or saccular stage of lung development. Fetal lambs in hypoxic conditions showed significant growth restriction compared to their normoxic counterparts. We also observed modest aberrant vascular remodeling in the saccular group after hypoxic conditions with decreased macrovessel numbers, microvascular endothelial cell numbers, and increased peripheral vessel muscularization. In addition, fetal hypoxia resulted in enlarged distal airspaces and decreased septal wall volume. Moreover, there was a reduction in mature SFTPB and processed SFTPC protein expression concomitant with a decrease in AT2 cell number. These findings demonstrate that maternally-independent fetal hypoxia predominantly impacts distal airway development, AT2 cell number, and surfactant production with mild effects on the vasculature.

Analysis of the Spatial Constraints of Urban Underpass Channels Based on BIM

The construction of urban underpasses faces various spatial constraints, which will lead to deformation or failure of the structures if not satisfied. The introduction of BIM (Building Information Modeling) and other modern information technology to achieve rapid and accurate spatial constraint analysis of the design scheme is of great significance to ensure the quality and safety of the underpass and adjacent structures. Firstly, through extensive literature collection and survey, the key spatial constraint indicators of underpasses in dense urban spaces and the evaluation rules of each indicator are determined. Then, an SQL (Structured Query Language)-based database of spatial constraint rules for underpasses in dense urban space areas is constructed, and the spatial constraint analysis process for underpasses in dense urban space areas is proposed. Finally, based on Building Information Modeling, programming support, and a development environment provided by C# and Visual Studio, a spatial constraint analysis system for underpasses in dense urban space areas is developed to realize complex spatial constraint analysis functions. The application practice of the system is carried out by taking a city underpass project as an example. The results show that in the design of urban underpass engineering, the spatial constraint analysis system designed in this paper and the calculation method adopted can simplify the model transmission process, save on labor costs, and reduce the error of the calculation results.

Novel Bioreactor Design for Non-invasive Longitudinal Monitoring of Tissue-Engineered Heart Valves in 7T MRI and Ultrasound.

The development of cardiovascular implants is abundant, yet their clinical adoption remains a significant challenge in the treatment of valvular diseases. Tissue-engineered heart valves (TEHV) have emerged as a promising solution due to their remodeling capabilities, which have been extensively studied in recent years. However, ensuring reproducible production and clinical translation of TEHV requires robust longitudinal monitoring methods.Cardiovascular magnetic resonance imaging (MRI) is a non-invasive, radiation-free technique providing detailed valvular imaging and functional assessment. To facilitate this, we designed a state-of-the-art metal-free bioreactor enabling dynamic MRI and ultrasound imaging. Our compact bioreactor, tailored to fit a 72mm bore 7T MRI coil, features an integrated backflow design ensuring MRI compatibility. A pneumatic drive system operates the bioreactor, minimizing potential MRI interference. The bioreactor was digitally designed and constructed using polymethyl methacrylate, utilizing only polyether ether ketone screws for secure fastening. Our biohybrid TEHV incorporates a non-degradable polyethylene terephthalate textile scaffold with fibrin matrix hydrogel and human arterial smooth muscle cells.As a result, the bioreactor was successfully proven to be MRI compatible, with no blooming artifacts detected. The dynamic movement of the TEHVs was observed using gated MRI motion artifact compensation and ultrasound imaging techniques. In addition, the conditioning of TEHVs in the bioreactor enhanced ECM production. Immunohistology demonstrated abundant collagen, α-smooth muscle actin, and a monolayer of endothelial cells throughout the valve cusp. Our innovative methodology provides a physiologically relevant environment for TEHV conditioning and development, enabling accurate monitoring and assessment of functionality, thus accelerating clinical acceptance.

Examining Teacher Willingness and the Labyrinth of Challenges in Implementing Professional Learning Communities at the Senior High School Level in Builsa South District

Aim: This study aimed to examine teacher willingness and the labyrinth of challenges in implementing Professional Learning Communities at the senior high school level in the Builsa South District. Methods: The study was purely quantitative and employed a descriptive correlational design with a questionnaire as the data collection instrument. A census technique was used allowing for the total accessible population, 79 senior high school teachers participate in the data collection process. Data was analyzed using descriptive statistics and a simple linear regression model. Results: The results showed that the regression model predicting willingness to participate in Professional Learning Community (PLC) activities from attitudes was statistically significant, F(1, 77) = 66.56, p < .001, meaning that more positive attitudes are associated with greater willingness to engage in PLC activities. Additionally, challenges such as time constraints, lack of leadership support, and resistance from teachers were reported as key obstacles faced in the implementation of Professional Learning Communities. Recommendation: The study strongly recommends that schools should prioritize providing adequate support and resources for Professional Learning Communities (PLCs) to address teachers' dissatisfaction in this area. This can include allocating sufficient time, funding, and administrative support to ensure the smooth functioning of PLC activities. By enhancing support and resources, schools can create a more conducive environment for collaboration and professional development within PLCs.

Enhancing Students' Development through Human-Space Correlation: A Conceptual Review of Co-Working Spaces in Educational Institutions

Education spaces are an important factor in maximising students' learning experience. Tertiary education institutions in Malaysia could benefit from co-working spaces as informal learning spaces to improve student interactions, well-being, productivity, and knowledge. This paper aims to establish a framework for developing co-working spaces in tertiary education institutions, particularly in Malaysian institutions. This research undertakes a review of journal articles, reports, and other documents gathered from the Google Scholar database concerning two main areas: firstly, co-working spaces, and secondly, education institutions. The data was analysed using VOSviewer software for specific keywords; 'education institution', 'university', 'student', and 'library'. The review brings forth important attributes when developing co-working spaces in tertiary education institutions. The findings can tremendously help education institutions apply the concept of co-working spaces to enhance learning environments for students' holistic development

AI Copilot for the Modern Developer : Leveraging GenAI in Software Development

This paper explores the transformative impact of AI copilots on software development, powered by Generative AI and Large Language Models. It examines how these tools enhance developer productivity, improve code quality, and democratize software development. The study delves into the core technologies behind AI copilots, including code synthesis and contextual learning, and discusses their integration with development environments. The paper also investigates the role of reinforcement learning in continuously improving AI copilots and analyzes their impact on software development practices. Additionally, it explores future prospects, including more sophisticated natural language understanding and improved cross-language support. Throughout, the paper emphasizes how AI copilots are reshaping the landscape of software engineering, potentially leading to more efficient, higher-quality, and innovative software solutions.

Awareness of DepEd Core Values among Grade 12 Students in a Public High School in the Philippines

This study determined the level of awareness of Department of Education (DepEd) core values among grade 12 students in a public school in Antique, Philippines, in the areas of maka-Diyos (Godly), makatao (person-oriented), makakalikasan (pro-environment), and makabansa (patriotism). Likewise, the study assessed the significant difference in their awareness of DepEd core values relative to their demographics. Hence, the study utilized quantitative research design, particularly descriptive-comparative approaches. The theoretical framework of the study is the ecological systems theory, which assumes the influence of a series of nested systems and environments in shaping human development. This indicates the need for considering the larger ecological context that drives core value awareness. Meanwhile, using the adopted questionnaire, data were collected from 293 Grade 12 senior high school students in a public high school in Antique, Philippines, during the school year 2023-2024. In the analysis of data, frequency, percentage, mean, standard deviation, Mann-Whitney U test, and Kruskal-Wallis test were employed to analyze both the descriptive and inferential problems. The study revealed that the overall core value awareness of students was very high (M=4.35, SD=0.48). This shows that the students at this public school fully recognized the four DepEd core values, namely, maka-Diyos, makatao, makakalikasan, and makabansa. Also, among all the four demographics, only sex [U=7782.5, P=0.001] and strand [χ2(5) =13.739, P=0.017] were found with significant differences. The findings postulate that to elicit students’ core value awareness, strengthening educational policies on consistent core value integration in school curricula, programs, and activities is greatly encouraged. The findings also convey the need to strengthen sustainable teacher orientation to maintain their students' high awareness.

Integration of sport and education in China: a case study of a dual career development environment of a Shanghai junior men’s basketball team

ABSTRACT In the context of China’s integration of sports and education (ISE), a Shanghai junior men’s basketball team was established through a collaboration between a district elite sport school and six regular schools. Using the holistic ecological approach, this case study investigated the dual career development environment (DCDE) of the team, aiming to (a) describe the successful DCDE and (b) identify factors influencing its effectiveness (DC-ESF). Data were collected from key stakeholders via participant observations, informal talks, and formal interviews to derive the DCDE and DC-ESF empirical models. The DCDE was characterised by: (a) parents serving as dual career (DC) supporters for their respective children at the micro-level; (b) a supportive and flexible head coach promoting DC development for student-athletes; (c) the ISE Committee bridging the study and sports domains at the macro-level; (d) a shared DC philosophy among parents, providing flexible solutions with the help of the head coach, maintaining the equal importance of sport and study, and viewing student-athletes as developing persons for achieving an optimal DC balance; and (e) helping student-athletes develop multiple identities and DC competencies. In conclusion, this study contributes to the understanding of DCDEs within the Chinese cultural context and supplements the DC discourse.

Open Geospatial Engine: A Cloud-based Spatiotemporal Computing Platform

Abstract. The quantity and diversity of Earth spatiotemporal big data have significantly increased in recent years, providing the potential to comprehensively analyse complex spatiotemporal problems from new perspectives. However, integrating, managing, and applying multi-source heterogeneous Earth spatiotemporal big data remains a challenge. To address this issue, this study proposes a cloud-based spatiotemporal computing platform, the Open Geospatial Engine (OGE), for the unified organization and joint analysis of Earth spatiotemporal big data in multiple dimensions and scales. The framework of this platform comprises three modules: data management, computing engine, and service interface. The data management module adopts the GeoCube model to effectively integrate and manage multi-source heterogeneous spatiotemporal data through multi-dimensional aligned tiles. The computing engine module seamlessly maps the GeoCube model to the cloud environment by extending Spark RDD, making the GeoCube model capable of high-performance distributed computing. Following OGC specifications, the service interface module integrates and shares data, operators, and spatiotemporal analysis models through extensible APIs in an interactive development environment. Combined with a series of high-performance optimization techniques, OGE simplifies data queries and the construction of complex analytical applications by integrating these three modules. The applicability of OGE is demonstrated by case studies involving multi-dimensional queries and joint analysis of long-time-series and heterogeneous spatiotemporal data.

Riding the wave: a prospective exploration of the temporal impact of perceived challenges on the development of relatively early high performing national-level youth soccer players

Research investigating the challenges experienced by high-performing athletes throughout development has predominantly used retrospective designs. Consequently, there is limited empirical and prospective data to inform the temporal dimensions of these experiences and their perceived impact on development. Therefore, this investigation sought to prospectively explore the temporal impact of perceived challenges on the development of six national-level youth footballers during their entrance into, and first season in, a selective national talent development environment. Participants engaged in monthly semi-structured interviews over a season, with data analysed using Reflexive Thematic Analysis. Findings demonstrated that each player’s experience in the national system was characterised by exposure to significant biopsychosocial challenges. The dynamics of these challenges were highly individualised, with variations in the temporal nature, emotional disturbance, and the psycho-behavioural skills deployed to navigate such challenges. Within the national system, the perceived judgement and the ongoing selection and deselection processes were a pervasive feature of each player’s experience, presenting significant challenge across the season. Yet, the temporal impact of this challenge varied among players. In practice, we advocate for talent systems to adopt a personalised approach to managing challenges faced by athletes and to recognise the individualised nature of the temporal impact of such challenges.