Technology Support Research Articles

Digitalization and green innovation: a fuzzy­set qualitative comparative analysis based on 30 provinces in China

Purpose Amid the pressing global need for sustainable development and environmental protection, exploring effective pathways to foster green innovation has become crucial. This study aims to examine the impact of digitalization on green innovation by analyzing its interactions with micro and macro factors. Design/methodology/approach This paper adopts a multi-level perspective (MLP) with a multi-agent framework to study how different factors impact green innovation efficiency. This paper uses fuzzy-set qualitative comparative analysis (fsQCA) on 30 Chinese provinces from 2012 to 2021 to identify key conditions and pathways for green innovation efficiency. Findings The findings reveal that digitalization alone does not constitute a necessary condition for green innovation. Rather, digitalization needs to be configured with other factors to form dynamic causal paths. In 2012–2016, a single path type (digitalization coupled with regional innovation and marketization) exists. In 2017–2021, two causal path types [digitalization and foreign direct investment (FDI), digitalization and regional innovation] emerge. Research limitations/implications The study has three theoretical contributions. First, while previous research studies often focus on single factors, the study examines the complexity of green innovation from a configurational perspective. Using the fsQCA method, this paper explores complex interactions and asymmetric causal relationships among multi-level factors. Second, this paper presents a novel theoretical framework that integrates the MLP framework with the multi-agent framework, facilitating a multi-dimensional analysis of green innovation. This synthesis elucidates the complex network of relationships, interactions and dependencies that propel green innovation. Third, responding to the call in international dynamic QCA research, this paper uses the multi-period QCA method. This allows for a detailed stage-by-stage comparative analysis, elucidating green innovation paths and revealing evolutionary trends of “configurational diversity” and “factor concentration.” This research offers practical insights for policymakers and stakeholders to develop more effective, tailored strategies for promoting green innovation. Practical implications Digitalization alone cannot fully drive green innovation; it must be combined with factors such as marketization, regional innovation and FDI. To achieve this, promote market-oriented reforms to enhance market mechanisms and encourage participation in green innovation projects through incentives. Increase investment in regional innovation, establish platforms for resource sharing and technological exchange and support cooperation between local governments and businesses. Additionally, it attracts FDI by creating favorable policies and a conducive business environment. Adapting policies to evolving conditions is crucial. Regularly assess and update policies to ensure their effectiveness and relevance in the face of changing technological and market landscapes. Optimize approval processes, reduce bureaucratic hurdles and improve policy implementation efficiency. Regions should also tailor strategies to their specific needs: those with high digitalization but lacking FDI should focus on building a robust research and development (R&D) personnel base, while regions with high FDI but insufficient local talent should attract skilled professionals through talent attraction programs and partnerships with international universities. Continuously adapting strategies ensures that regions can effectively drive sustainable development and green innovation. Social implications The research advances the understanding of green innovation by examining multi-level configuration effects, introducing an integrated framework and conducting stage-by-stage comparative analysis. These contributions collectively enhance the theoretical foundation and practical applicability of promoting green innovation in an increasingly digitalized world. Originality/value This study offers invaluable theoretical insights and practical pathways for policymakers and decision-makers, providing tailored strategies to promote green innovation. By understanding the complex interactions between digitalization and other factors, decision-makers can better leverage digitalization for sustainable development and environmental protection.

Collaborative control technology and application of support and modification for soft-rock roadway in a kilometer-deep coal mine

The soft-rock roadways in kilometer-deep coal mines are often damaged by large deformation and have to be periodically expanded and repaired, which seriously restricts the safe and efficient production of coal mines. A typical soft-rock roadway in a kilometer-deep coal mine is selected as the engineering, and the main reasons for roadway deformation are analyzed, and the ground stress and mechanical characteristics are obtained. The Flac3D numerical model, which can accurately reflect the deformation characteristics of surrounding rock in kilometer-deep soft-rock roadway, has been constructed, and the evolution laws of stress field and its damage mechanism have been analyzed with the vertical stress, vertical displacement and plastic zone. The damage range of roadway surrounding rock is elucidated by endoscopic observation, and the synergistic control technology of support and modification is proposed. The on-site engineering application is carried out in Qianyingzi Coal Mine, and the results show that the collaborative control technology of support and modification ensures the safety and stability of deep soft-rock roadway. The results provide important and preliminary technical references for realizing safe and intelligent mining in coal mines.

Assessing the financial burden of multimorbidity among patients aged 30 and above in India

BackgroundMultimorbidity is associated with significant out-of-pocket expenditures (OOPE) and catastrophic health expenditure (CHE), especially in low- and middle-income countries like India. Despite this, there is limited research on the financial burden of multimorbidity in outpatient and inpatient care, and cross-state comparisons of CHE are underexplored.MethodsWe conducted a cross-sectional analysis using nationally representative data from the National Sample Survey 75th Round ‘Social Consumption in India: Health (2017–18)’, focusing on patients aged 30 and above in outpatient and inpatient care in India. We assessed multimorbidity prevalence, OOPE, CHE incidence, and CHE intensity. Statistical models, including linear, log-linear, and logistic regressions, were used to examine the financial risk, with a focus on non-communicable diseases (NCDs), healthcare facility choice, and socioeconomic status and Epidemiological Transition Levels (ETLs).ResultsMultimorbidity prevalence in outpatient care (6.1%) was six times higher than in inpatient care (1.1%). It was most prevalent among older adults, higher MPCE quintiles, urban patients, and those with NCDs. Multimorbidity was associated with higher OOPE, particularly in the rich quintile, patients seeking care from private providers, low ETL states, and rural areas. CHE incidence was highest in low ETL states, private healthcare users, poorest quintile, males, and patients aged 70 + years. CHE intensity, measured by mean positive overshoot, was greatest among the poorest quintile, low ETL states, rural, and male patients. Log-linear and logistic regressions indicated that multimorbidity patients with NCDs, those seeking private care, and those in low ETL states had higher OOPE and CHE risk. The poorest rural multimorbidity patients had the greatest likelihood of experiencing CHE. Furthermore, CHE intensity was significantly elevated among multimorbidity patients with NCDs (95% CI: 19.29–45.79), patients seeking care in private, poorest, and from low ETL states (95% CI: 7.36–35.79).ConclusionsThe high financial burden of OOPE and CHE among multimorbidity patients, particularly those with NCDs, highlight the urgent need for comprehensive health policies that address financial risk at the primary care level. To alleviate the financial burden among multimorbidity patients, especially in low-resource settings, it is crucial to expand public healthcare coverage, incorporate outpatient care into financial protection schemes, advocate for integrated care models and preventive strategies, establish standardized treatment protocols for reducing unnecessary medications linked to polypharmacy, and leverage the support of digital health technologies.

Motivating Left-Behind Vocational Students in English Learning through Game-Based Listening Activities: The Interaction between Self-Esteem and Listening Comprehension Skills

To enhance the motivation of left-behind vocational students to learn English, exploring innovative ways of learning English suitable for such students. This study investigates the effectiveness of game-based listening activities in improving English language learning among left-behind vocational students in China. Employing a quasi-experimental design, the research examined the impact of the intervention on learning motivation and listening comprehension skills, while considering the moderating effects of self-esteem and various environmental factors. A sample of 198 left-behind vocational students participated in the study, with 99 in the experimental group and 99 in the control group. Results revealed significant improvements in overall motivation (d = 0.79) and listening comprehension skills (d = 0.92) for the experimental group. Notably, intrinsic motivation showed a larger increase (d = 0.85) compared to extrinsic motivation (d = 0.31). Self-esteem was found to moderate the intervention's effectiveness, with higher self-esteem associated with greater improvements. Environmental factors, particularly access to technology and school support, significantly influenced learning outcomes. The study provides evidence for the efficacy of game-based approaches in addressing the unique challenges faced by left-behind vocational students and highlights the importance of considering individual psychological factors and environmental contexts in educational interventions. Future research should focus on the long-term efficacy, scalability, and methods to cater to students with varying levels of self-esteem and environmental support.

Local Community Behavior Model in Participatory-Based Sustainable Tourism Development

Sustainable tourism development is one of the main agendas in many countries, including Indonesia. Tourism based on the principle of sustainability provides economic benefits, maintains environmental sustainability, and promotes local cultural values. One of the key factors for the success of sustainable tourism development is support from local communities. Local communities play an important role because they are subjects and objects in tourism development. The involvement of local communities in this process can increase a sense of ownership, active Participation, and compliance with sustainable tourism practices. However, not all local communities have the same behavior in supporting sustainable tourism development. This study aims to find a model of local community behavior in supporting participatory-based sustainable tourism development. The study identifies local community behavior, such as attitudes, social norms, knowledge, and perceptions of benefits in sustainable tourism development through active Participation. This study uses a quantitative approach with Partial Least Square-Structural Equation Modeling (PLS-SEM) analysis techniques. Data were collected through questionnaires from 100 local community respondents in Ranupani Village, Senduro District, Lumajang Regency, East Java Province, Indonesia. The results showed that attitudes and perceptions of benefits had a positive and significant effect on active Participation, while social norms and knowledge did not have a significant effect. Furthermore, active Participation was proven to positively and significantly affect sustainable tourism development. Attitudes and perceptions of benefits also indirectly influenced sustainable tourism development through active Participation. These results indicate the importance of building positive attitudes and increasing perceptions of the benefits of sustainable tourism to encourage active community involvement. Conversely, the low influence of social norms and knowledge requires a more effective approach by strengthening social norms and providing relevant education to the community. This study contributes to developing community behavior theory in sustainable tourism development. Further research is suggested to explore other variables, such as policy or technology support, that can influence active community participation.

Pharmacy students' perspective on remote flipped classrooms in Malaysia: a qualitative study.

This study aimed to explore pharmacy students' perceptions of remote flipped classrooms in Malaysia, focusing on their learning experiences and identifying areas for potential improvement to inform future educational strategies. A qualitative approach was employed, utilizing inductive thematic analysis. Twenty Bachelor of Pharmacy students (18 women, 2 men; age range, 19-24 years) from Monash University participated in 8 focus group discussions over 2 rounds during the coronavirus disease 2019 pandemic (2020-2021). Participants were recruited via convenience sampling. The focus group discussions, led by experienced academics, were conducted in English via Zoom, recorded, and transcribed for analysis using NVivo. Themes were identified through emergent coding and iterative discussions to ensure thematic saturation. Five major themes emerged: flexibility, communication, technological challenges, skill-based learning challenges, and time-based effects. Students appreciated the flexibility of accessing and reviewing pre-class materials at their convenience. Increased engagement through anonymous question submission was noted, yet communication difficulties and lack of non-verbal cues in remote workshops were significant drawbacks. Technological issues, such as internet connectivity problems, hindered learning, especially during assessments. Skill-based learning faced challenges in remote settings, including lab activities and clinical examinations. Additionally, prolonged remote learning led to feelings of isolation, fatigue, and a desire to return to in-person interactions. Remote flipped classrooms offer flexibility and engagement benefits but present notable challenges related to communication, technology, and skill-based learning. To improve remote education, institutions should integrate robust technological support, enhance communication strategies, and incorporate virtual simulations for practical skills. Balancing asynchronous and synchronous methods while addressing academic success and socioemotional wellness is essential for effective remote learning environments.

Application and Analysis of Renewable Energy in Building Energy Efficiency

With the severe challenge of global climate change and the increasing energy crisis, the construction industry, as one of the main sources of global energy consumption and greenhouse gas emissions, has become particularly critical. Therefore, exploring how to achieve building energy savings through renewable energy has become an urgent and far-reaching research topic. This study aims to discuss the current state, challenges, and potential applications of renewable energy in the building field, by reviewing existing literature and case studies. Additionally, it explores strategies to promote the application of renewable energy in building energy conservation through technological innovation and policy support. After analyzing the existing literature and cases, it is found that the application of renewable energy technologies such as solar, wind, and geothermal energy in buildings can significantly save energy, reduce dependence on fossil fuels, and reduce carbon emissions. Optimizing buildings, including passive design and active system integration, is critical to improving energy efficiency without compromising residential comfort. The intelligent energy management system further improves energy efficiency through real-time monitoring and automatic regulation. Policy and economic incentives have played a key role in promoting the use of renewable energy technologies in buildings.

Optimizing Learning Path Design in Mobile Learning Platforms for Online Courses

With the rapid advancement of information technology, online education, particularly vocational education, has become a vital avenue for enhancing skills and knowledge. Vocational education necessitates flexible and personalized learning path design to accommodate the diverse needs and behaviors of learners. Mobile learning platforms, as a pivotal form of modern online education, provide learners with the convenience of accessing educational resources anytime and anywhere. However, existing methods for optimizing learning paths exhibit notable limitations, primarily in accurately capturing learners’ dynamic behaviors and in providing personalized and intelligent path design. Therefore, how to optimize learning paths based on learners’ dynamic behavior data has become a research hotspot in academia and educational practice. At present, many studies focus on matching analysis based on students’ static characteristics with course content but overlook learners’ behavioral changes and dynamic needs during the learning process. Traditional recommendation algorithms and rule-based path design methods are difficult to cope with complex learning behaviors and diverse learner needs. This study addresses these limitations by proposing an optimization model for mobile learning path design based on multi-view prediction of dynamic student behaviors. The model extracts mobile interaction features from student groups, constructs a multiple mobile behavior collaborative encoder, and employs multiple task label prediction techniques to achieve personalized and intelligent optimization of learning paths. The results demonstrate that this approach significantly enhances the learning efficiency and experience of learners, offering novel insights and technological support for the path design of mobile learning platforms.

Using Business Simulation Games to Explore the Effects of Instructional and Technological Support on Students’ Psychological Needs, Cognitive Load, and Learning Achievement

Virtual-reality business simulation games (VRBSGs) have garnered attention in management education. However, investigating the design of efficient VRBSGs from an integrated perspective of social cognitive, self-determination, and cognitive load theories is crucial but under-addressed. Therefore, this study developed a VRBSG learning system to enhance students’ learning of retailing management in pet nutrition. Specifically, this study investigated the impact of technological and instructional support and how the VRBSG can affect students' psychological needs and cognitive load, improving their learning achievement. A total of 214 undergraduate students were recruited as research participants, and the data collected were analyzed using the partial least squares method. The results showed that the learning achievement of the experimental group playing the VRBSG improved significantly. Surprisingly, technological and instructional support did not significantly influence learning anxiety. The VRBSG design considered pet nutrition knowledge, the prompt of the VRBSG mechanism, and students’ successful feelings about the learning materials and content. This design can provide students with good feelings in a situated learning environment. These findings have significant implications for the use of VRBSGs in management education, particularly in the field of retailing management.

Mechanical characteristics and load-bearing effect of roadway anchorage composite carrier

Bolt support improves the stress state of the surrounding rock and forms an integral bearing structure inside the anchored surrounding rock. Therefore, it is of theoretical significance and practical application value to systematically study the mechanical mechanism and bearing characteristics of the anchorage composite carrier and elucidate the interaction mechanism between the bearing effect of the anchorage composite carrier and the stability of the roadway surrounding rock. In this paper, a mechanical model for the anchorage composite carrier is meticulously constructed through a fusion of theoretical analysis and advanced numerical simulation techniques. An in-depth exploration is conducted to elucidate the factors that significantly impact the bearing characteristics of the anchorage composite carrier. Specifically, the study examines the influence of supporting parameters, including bolt length, bolt diameter, bolt spacing, preload force, and roadway width, on both the effective formation and the thickness of the anchorage composite carrier. Based on the bearing effect of the anchorage composite carrier, aiming at the supporting problem of the cross-layer roadway (III811 interlocking roadway) in Luling Coal Mine of Huaibei Mining Co., LTD., the support technology application based on the bearing effect of the anchorage composite carrier is carried out, the support design scheme is optimized, the supporting effect is evaluated, and the evaluation method of the supporting effect and stability of the roadway is proposed. It is significant to apply support technology based on the bearing effect of anchorage composite carriers.

The Effect of Information Technology to the Performance of English Teachers in Selected Vocational Schools

Vásquez-Pajuelo et al. (2024) and Chaipidech (2022) have highlighted the growing use of digital tools in vocational schools, particularly for teaching English. The COVID-19 pandemic has accelerated the shift toward digital literacy, necessitating enhanced technological competencies in educational professionals. Chaipidech et al. (2022) highlight the potential of IT in facilitating individualized learning experiences, providing real-time feedback, and encouraging collaboration through online practice communities. Research shows that when educators have the appropriate digital skills and resources, their instructional practices improve, leading to improved student engagement and learning outcomes. However, there are still significant gaps in research, particularly in the China, where the digital divide and lack of comprehensive training programs pose challenges. The study reveals gaps in teachers' understanding of ICT's potential benefits due to inadequate infrastructure, technological support, and professional development. Despite positive attitudes, limited training and limited resources hinder ICT integration. The study suggests specific training programs, better ICT facilities, and a well-thought-out plan to make the most of ICT's effect on vocational school teachers' work and students' grades.

Nurse-Assisted Remote Patient Monitoring for Self-Management Support to Patients With Long-Term Illness-A Qualitative Multimethod Study.

To explore patients and nurses' experiences of digital self-management support following participation in a remote patient monitoring intervention. An exploratory qualitative multimethod study. The study was conducted at two Norwegian university hospitals between January 2022 and February 2023. Data were obtained through semistructured interviews of 17 patients with heart failure, 10 patients surgically treated for colorectal cancer and eight nurses. The data collection also included excerpts from chat messages between patients and nurses obtained from the digital platform during January and February 2024. Data were analysed using abductive thematic analysis. The analysis revealed three themes: (1) raising illness awareness through RPM technology, (2) establishing a mutual collaboration in self-management challenges and (3) fostering a continued engagement in health behaviour change. The themes captured patients and nurses' experiences of receiving and providing digital self-management support. The analysis also identified a unifying key theme: 'bridging technology and self-management support through remote caring encounters', which firmly connected the three themes. Remote patient monitoring appeared to benefit both patients and nurses by altering patients' self-management routines and the nurses' workflows. Furthermore, applying the theory of technological competency as caring in nursing to remote patient monitoring interventions may help ensure that the patient-nurse relationship is not weakened as technology advances. Remote patient monitoring interventions have the potential to become a valuable tool in modern healthcare, enabling effective communication and collaboration between patients and nurses while also ensuring patient-centred care. However, future development of remote patient monitoring interventions should include nursing support. This study addresses remote patient monitoring and digital self-management support from the perspectives of both patients and nurses. The findings may have an impact on remote nursing, patient satisfaction and strategies to improve digital follow-up care for patients with long-term illnesses. The authors adhered to the EQUATOR guidelines through the SRQR reporting method. No patient or public contribution.

Future Roadmap for the Implementation of Sustainable Development Goals SDG9: Industry, Innovation, and Infrastructure in Kuwait

The Sustainable Development Goals 9 (known as the SDG9): Industry, Innovation, and Infrastructure are crucial objectives for Kuwait since they are essential to the nation’s attempts to achieve sustainable development and economic diversification. Using the recently available literature, this research attempts to understand and investigate the current level of SDG9 implementation in the context of Kuwait. Data from the SDGs database based on published studies and reports were used in this study. The actual level of SDG9 implementation in Kuwait still faces significant challenges. The roadmap to achieving the SDG9 goals was improved based on the analysis of SDG9 targets and identifying the reasons and factors for developing each target. The results indicate that Kuwait should encourage non-oil businesses, including manufacturing and renewable energy, to diversify its economy and reduce its dependency on oil. Efforts need to be taken to improve industrial infrastructure, encourage innovation, and advance research and development (R&D) activities. To attract capital and skills for infrastructure development, Kuwait should also promote public–private partnerships. In order to achieve the SDG9 goals, it is suggested that policymakers foster innovation and technology adoption, support small and medium-sized businesses (SMEs), promote sustainable industrial practices, build industrial infrastructure, improve vocational and technical education, encourage international cooperation and technology transfer, monitor progress, and set targets.

An ensemble multi-dimensional randomization network for intelligent recognition of tobacco baking stage

In recent years, image processing technology has been increasingly studied on intelligent unmanned platforms, and the differences in the shooting environment during tobacco baking pose challenges to image processing algorithms. To address this problem, an ensemble multi-dimensional randomization network (EMRNet) for intelligent recognition of tobacco baking stage is proposed. The first is to obtain the tobacco leaf area during the baking process. Then, a multi-dimensional randomization network (MRNet) is designed to recognize tobacco baking stage. The effectiveness of MRNet lies in multi-scale hidden layer feature extraction, which can effectively enhance the expression ability of features to overcome the impact of differences between different environments on the tobacco baking stage. Finally, MRNet is used as component learner for constructing an ensemble randomization network structure to distinguish the tobacco baking stage. On the constructed tobacco baking stage dataset, EMRNet achieves 89.14% accuracy with 642.96MFLOPs. Compared with SVM, MLP, BP, ELM, CRVFL and other algorithms, EMRNet shows excellent performance in accuracy and model complexity. The proposed method explores the application of image processing technology in crop baking and drying, providing theoretical support for intelligent baking technology.

Analysis of Coupled Coordination and Driving Factors of Urbanization, Ecosystem Services, and Human Well-Being in the High and Coarse Sediment Yield in the Middle Yellow River

The ecological and social problems brought about by China’s rapid urbanization process threaten sustainable development. Taking the cities with high and coarse sediment yield in the middle reaches of the Yellow River as the research objects, this study constructed a complex analytical framework composed of urbanization, ecosystem service value (ESV), and human well-being (HBW) subsystems. The equivalent factor method (EFM) was used to evaluate the ESV. The entropy weight method (EWM) and the comprehensive nighttime light index (CNLI) were adopted to assess the level of urbanization and human well-being. Then, coupled coordination degree (CCD) and grey relational modes were developed to reveal the level and major obstacles of synergistic development. The results showed that, from 2000 to 2020, urbanization, ESV, and HWB increased. The average value of CCD grew from 0.34 to 0.56, with higher coordination levels in the northeast and south. The coordinated development is influenced by multiple factors, with the intensity of the driving factors decreasing in the order of industrial structure, population quality, economic drive, government regulation, and scientific and technological support. The results indicate that it is essential to formulate differentiated regionally coordinated development strategies and establish cross-regional cooperation mechanisms to achieve interactive urban economic development, ecological protection, and well-being improvements in the middle reaches of the Yellow River.

Research on the impact of urban innovation on public health

IntroductionThis article explores the impact of innovation on urban public health, with a particular focus on panel data from 15 sub-provincial cities in China. The study aims to provide scientific evidence for policymakers by analyzing how technological innovation affects urban public health levels.MethodsThe study used a panel model for empirical analysis which based on panel data from 15 sub provincial cities across the country, using the number of doctors per 10,000 people and per capita financial medical and health expenditure as proxy variables for urban public health, and using the level of technological development as the core explanatory variable for regression analysis.ResultsThe research results show that: (1) for public health quantified by the number of doctors per 10,000 people in cities, innovation does not have a significant promoting effect on urban public health; (2) Compared to the number of doctors per 10,000 people in a region, the per capita financial expenditure on healthcare can better measure the level of urban public health; (3) Innovation has a significant impact on urban public health, measured by per capita fiscal expenditure on healthcare.DiscussionIn order to transform technological innovation into a driving force for the development of urban public health, efforts must be made from multiple aspects. Currently, building a strong foundation for people’s health relies on the support of science and technology, and enhancing innovation as a primary driving force is crucial. China urgently needs to improve the stability and competitiveness of its pharmaceutical industry and supply chain, break through key core technologies, and take the initiative in the future development of the pharmaceutical industry.

The Driving Factors and Improvement Paths of CTI Integration: Based on the Spatial Dubin Model and fsQCA Method

Although previous studies have explored the factors influencing cultural and tourism industry (CTI) integration, few have investigated them from a spatial and configuration perspective. Based on the panel data of 31 provinces from 2012 to 2019, the article discusses the driving factors and enhancement paths of the level of CTI integration using the spatial Durbin model (SDM) and fuzzy set qualitative comparative analysis (fsQCA). The results show that: (1) Technological innovation, consumer demand, and policy support have significant direct driving effects on CTI integration, and transportation infrastructure has a significant inhibitory effect. Market supply, transportation infrastructure, and human capital show significant spillover effects. (2) There are four paths to improve the integration level of CTI. (3) Technological innovation, market supply, and policy support perform more critical parts in CTI integration. This paper not only expands the research perspective on the driving factors of CTI integration but also applies two complementary research methods.

Validação de website sobre prevenção combinada do HIV pela população geral

Abstract Objective To analyze the evidence of content validity of a website on combined HIV prevention for the general population. Methods This is a validation study of the educational content of a website on combined HIV prevention by 24 participants from the general population, who evaluated the content, verbal language, navigation structure, attractiveness and technological innovation, as well as usability indicators. A web survey was carried out, with virtual data collection and application of Likert-type questionnaires for consensus purposes. The analysis was structured into descriptive measures, as well as the Content Validity Index with a cutoff point estimated at 0.80. Results The website presented an overall agreement index of 0.98. The evaluated attributes proved to be valid in terms of content (0.97), verbal language used (0.98) and navigation structure (0.97), indicating relevance and logical organization of information, as well as high potential for learning, to expand access to care services and disseminate combined HIV prevention strategies. Furthermore, the website presented a satisfactory agreement indicator in the aspects of attractiveness (0.98), usability (0.83) and innovation (0.98). Conclusion The evidence of validity of the PREVINAIDST website by the general population demonstrated scientific, technological and operational support to inform and promote the combined prevention of HIV infection and allowed the assessment of the relevance of the content and adequacy of the language, in addition to promoting a participatory process in the construction of the content based on real needs of the population.

Anti-seepage reinforcement property and pollution control effect of bio-cemented fracture zone in electrolytic manganese residue dump

The heavy metal (HM) pollutants in electrolytic manganese residue (EMR) can easily diffuse through the seepage channel of the dump under the leaching action of rainfall. Particularly, the fracture zone, as one of the widely distributed seepage channels in the manganese residue dump (MRD), poses a greater threat to the ecological environment due to its weak mechanical properties, strong ductility, and numerous fractures. In this study, the microbially induced calcium carbonate precipitation (MICP) method was used for anti-seepage reinforcement of the fracture zone in an MRD to be constructed. The optimal conditions for the anti-seepage reinforcement of the fracture zone using the MICP method were proposed, and the control effect of the bio-cemented fracture zone on the major HM pollutant in the leachate of EMR was illustrated. Results showed that after grouting at a rate of 3 mL/min for 12 cycles with a grouting slurry of high urease activity (9 mM urea/min) and high cementation solution concentration (1.5 mol/L), the permeability coefficient of the fracture zone decreased from 10−4 to 10−5, and the unconfined compressive strength was approximately 5.58 times that of uncemented. Furthermore, the cubic calcite crystal clusters with high purity, good stability, dense arrangement, and high cementation properties were generated using the optimal conditions, and the pores were transformed from long columnar to spherical pores. Additionally, the Mn2+ concentration in the effluent from the fracture zone at the stabilization stage was only 663 mg/L, significantly lower than that of the leachate of EMR, and the risk of leaching changed from very high risk to low risk. The research outcomes can provide guidance and reference for laboratory model testing and in-situ testing of bio-cemented fracture zone, and it is expected to provide the theoretical and technological support for green and economic anti-seepage reinforcement of the fracture zone.

Enhancing Emotional and Social Engagement of Women with Disabilities in the Labor Market through Collaborative Learning in MOOCs

In recent years, the rise of Massive Open Online Courses (MOOCs) has revolutionized the field of education, providing accessible and flexible learning opportunities to individuals worldwide. MOOCs have the potential to empower traditionally marginalized groups, including women with disabilities, by offering them a platform to enhance their skills and knowledge. However, the successful integration of women with disabilities into the labor market requires more than just technical expertise; it necessitates the development of emotional and social engagement skills. This study aims to investigate the implementation of collaborative learning projects in MOOCs, including the creation and allocation of group learning environments, the identification and provision of recommendations for successful group learning, the evaluation of learning outcomes, and the generation of adaptive feedback. Implementing learning groups in MOOCs necessitates comprehensive and integrated solutions. The study's key finding highlights that MOOCs can effectively cultivate collaborative learning by establishing clear learning objectives, forming diverse and inclusive groups, providing explicit guidelines, closely monitoring progress, delivering timely feedback, acknowledging, and rewarding individual contributions, and ensuring adequate technological support. By implementing these strategies, MOOCs have the potential to foster collaborative learning, enhance women with disabilities engagement, motivation, and learning outcomes, and ultimately empower them to thrive in the labor market.