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The digitalization of archival management has rapidly developed with the maturation of digital technology. With data's exponential growth, archival resources have transitioned from single modalities, such as text, images, audio and video, to integrated multimodal forms. This paper identifies key trends, gaps and areas of focus in the field. Furthermore, it proposes a theoretical organizational framework based on deep learning to address the challenges of managing archives in the era of big data.

Via a comprehensive systematic literature review, the authors investigate the field of multimodal archive resource organization and the application of deep learning techniques in archive organization. A systematic search and filtering process is conducted to identify relevant articles, which are then summarized, discussed and analyzed to provide a comprehensive understanding of existing literature.

The authors' findings reveal that most research on multimodal archive resources predominantly focuses on aspects related to storage, management and retrieval. Furthermore, the utilization of deep learning techniques in image archive retrieval is increasing, highlighting their potential for enhancing image archive organization practices; however, practical research and implementation remain scarce. The review also underscores gaps in the literature, emphasizing the need for more practical case studies and the application of theoretical concepts in real-world scenarios. In response to these insights, the authors' study proposes an innovative deep learning-based organizational framework. This proposed framework is designed to navigate the complexities inherent in managing multimodal archive resources, representing a significant stride toward more efficient and effective archival practices.

This study comprehensively reviews the existing literature on multimodal archive resources organization. Additionally, a theoretical organizational framework based on deep learning is proposed, offering a novel perspective and solution for further advancements in the field. These insights contribute theoretically and practically, providing valuable knowledge for researchers, practitioners and archivists involved in organizing multimodal archive resources.

Despite the growing prison population in South America and the high prevalence of infectious diseases, there is limited evidence on the factors associated with self-reported tuberculosis (TB) in this population. This study aims to identify the factors associated with self-reported TB among inmates in all prisons across Ecuador.

The 2022 Prison Census was used. The presence of TB was self-reported based on the question: Has any doctor diagnosed you with any of the following diseases: Tuberculosis? Prevalence ratios (PR) were obtained using crude and multivariable models along with their 95% confidence intervals (CI) using a generalized linear model with random effect at the prison level to assess the association among the study variables.

The prevalence of self-reported TB was 4.7%. Socio-demographic factors (prisoners aged between 18 and 29 years and indigenous), clinical factors (human immunodeficiency virus [HIV] infection, diabetes and attempted suicide) and imprisonment characteristics (re-offender, having a medical check-up on admission and being incarcerated for 6 months or more) increased the prevalence of self-reported TB compared with their counterparts.

This study provides a detailed understanding of the factors contributing to the prevalence of self-reported TB in the prison population of Ecuador. The findings highlight the need for strategies focused on TB control through diagnosis and treatment, management of HIV, diabetes and malnutrition, as well as the restructuring of prison facilities. Implementing these measures is crucial for addressing the identified factors and improving inmate health conditions.

This study evaluates the implementation of circular economy (CE) design strategies in mass timber construction to identify knowledge gaps and define crucial future research areas for promoting CE design adoption in this field.

A two-stage systematic literature review (SLR) was conducted to, first, identify CE design strategies applicable to the construction industry and then investigate the current state of CE design research in mass timber construction. Scopus and Web of Science databases were searched for relevant literature. In total, 52 peer-reviewed journal articles published between 2016 and 2023 were shortlisted. Descriptive and thematic analyses were then employed to analyse and synthesise the relevant literature.

Seven CE design strategies were identified in the first stage of the SLR. The second stage of the SLR revealed limited research on CE design strategies in mass timber construction. Several research problems were identified, including a lack of suitable connectors for the deconstruction phase, durability concerns, insufficient knowledge of CE design methods, lack of knowledge and education about mass timber construction, missing actors within the value chain, higher cost, an underdeveloped market and inadequate regulatory requirements. These findings highlighted the future research directions to foster CE design adoption in mass timber construction.

The study systematically identifies existing knowledge on the application of CE design strategies in mass timber construction. Moreover, it presents a conceptual framework that links current research problems to future research directions across technical, social, economic and regulatory categories, thereby advancing CE practice in mass timber construction.

Groups of students were enrolled in a course that sought to produce a three-phase theoretical model over three semesters.

A design project to comprehensively address school violence was launched at a university in eastern Pennsylvania.

This article updates the recent and most critical finding of the project by illuminating specific implications of the importance of teacher training and the development toward competence in recognition of children who are emotionally and psychologically injured through proactive measures such as screening for emotional and psychological well-being.

Although the model has not been tested, screening to identify those in need of emotional support and training to support teachers is clear. Screening and training offer important opportunities to help learners build skills toward resilience to soften the effects of trauma.

A view of the “whole child” with regard to academic success could further foster social and emotional development.

Early intervention can prevent the onset of symptoms associated with posttraumatic stress and related disorders. This effort alone may significantly reduce the uncomfortable incidences and perhaps ultimate prevention of the violence that is perpetuated among children.

Preliminary research supports a continued conversation regarding effective tools to find children emotionally and psychologically at-risk, which allows teachers an opportunity for timely emotional and psychological interventions.

Under the rural revitalization, the effect of China's implementation of rural prefabricated housing is not obvious. Cost has become the biggest obstacle to its development. Therefore, it is necessary to study the factors influencing the cost of prefabricated buildings in villages and clarify the focus of cost control.

This paper focuses on the whole process of prefabricated housing construction in villages in China and uses grounded theory to identify and screen out 27 related factors that affect the construction cost of prefabricated buildings. A system dynamics model is used to dynamically analyze the influencing factors. The engineering examples in rural areas of southern Shaanxi are simulated. Finally, five key factors that influence cost are obtained. Based on this, cost control countermeasures are proposed for rural prefabricated housing in southern Shaanxi.

The results show that: the key factors affecting the cost of prefabricated buildings in villages include the selection of production methods, the degree of design standardization, the quality of construction personnel, the level of construction technology and the circulation cycle of molds. The cost of prefabricated housing in villages can be controlled through five aspects: mass production of components, design exchange and feasibility analysis, improvement of employee professionalism, strict selection of construction schemes and technologies and improvement of mold turnover rate.

The system dynamics model applied in this paper is based on the idealized state. The system boundary is narrow and has a certain subjectivity. It needs further detailed research to make it closer to the engineering practice. In addition, this paper applies the rural engineering example in southern Shaanxi to carry out a single case study, and the universality of the research results needs to be further tested. There are many village construction projects and building types, so the research results can be further enriched through large sample research.

Rural construction is an important step in the implementation of rural revitalization. Exploring the factors that affect the key costs of prefabricated buildings in villages and towns in view of the particularity of rural areas will help provide a reference for their cost control and help the rural development of prefabricated houses.

The research results of this paper can provide a reference for the development of prefabricated buildings in other rural revitalization areas.

Different from the traditional research on urban prefabricated buildings, this paper focuses on rural areas and explores the core factors affecting the cost of prefabricated buildings from the micro level. This study establishes a system dynamics model suitable for the cost control of prefabricated housing at the village level and provides methods for its cost control. Based on the identified key factors affecting costs, cost control measures were proposed for prefabricated housing tailored to the unique characteristics of villages.

In social media, crisis information susceptible of generating different emotions could be spread at exponential pace via multilevel super-spreaders. This study aims to interpret the multi-level emotion propagation in natural disaster events by analyzing information diffusion capacity and emotional guiding ability of super-spreaders in different levels of hierarchy.

We collected 47,042 original microblogs and 120,697 forwarding data on Weibo about the “7.20 Henan Rainstorm” event for empirical analysis. Emotion analysis and emotion network analysis were used to screen emotional information and identify super-spreaders. The number of followers is considered as the basis for classifying super-spreaders into five levels.

Official media and ordinary users can become the super-spreaders with different advantages, creating a new emotion propagation environment. The number of followers becomes a valid basis for classifying the hierarchy levels of super-spreaders. The higher the level of users, the easier they are to become super-spreaders. And there is a strong correlation between the hierarchy level of super-spreaders and their role in emotion propagation.

This study has important significance for understanding the mode of social emotion propagation and making decisions in maintaining social harmony.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2024-0192.

In recent years, crowdsourcing – an open and innovative model for outsourcing tasks to a crowd – has become popular for production processes, allowing organizations and firms in different industries to access external skills and expertise efficiently. Companies have opened their innovation processes to crowds outside their boundaries, and users and customers are often involved in developing products in line with market needs. This work aims to investigate the link between crowdsourcing, production and quality to better understand this new interesting phenomenon.

An explicit and systematic method for reviewing the literature was used. Through the selection and analysis of the relevant articles in the field, this paper presents a comprehensive overview of the pros and cons, risks and opportunities, disadvantages, or concerns, as addressed in the literature, for the adoption of crowdsourcing in the production processes.

It identifies where, how and to what extent crowdsourcing can be applied profitably within the production of products and services, highlighting how crowdsourcing could affect product and process quality. Finally, some directions for future research are outlined from the analysis conducted.

This work applied the systematic literature review to investigate and evaluate the actual use and impact of crowdsourcing on the production process, focusing on quality enhancement contribution.

New psychoactive substance (NPS) use in mental health and addiction health-care services is a common co-morbidity. This paper aims to explore the survey responses with health-care professional’s (HCPs) engagements and experiences towards people who use NPS in five health-care services.

A theoretically adapted online survey design explored the engagements and experiences of participants towards people who use NPS across (n = 3) community and (n = 2) rehabilitation mental health and addiction health-care services consisting of (n = 1,027) service users.

A total of 92 participants (of 120 participants) completed the survey and 28 did not. Most (56.33%) reported neutral to poor experiences and engagements and a lack of NPS-related policies, procedures and educational training. Participants (99%) recognised the harmful effects of NPSs and (87%) requested clinical assessment procedures. The participants are unable to identify and manage acute intoxication by NPS, lack knowledge of NPS adverse effects and requested NPS-specific training on drug legislation.

The sample may not be representative with the broader UK population. The study’s methods are comparable to similar research surrounding NPS in health-care services. Similar studies may advance the findings.

The implications for practice include NPS awareness trainings, educational updates through seminars and conferences. Participants requested clearer NPS assessment, referral and management processes. Several policy-making and procedural opportunities exist to ensure a better health outcome for people who use NPS.

To the best of the authors’ knowledge, this is the first theoretically adapted survey to explore participant’s engagements and experiences with people who use NPS in addiction and mental health settings.

This study aims to identify the bioactive compounds in the Onion (Allium burdickii [A.B]) bulb using Raman and Fourier transform infrared spectroscopy (FTIR) spectroscopy. It assessed the extraction conditions of bioactive compounds from A.B. while evaluating the best extraction conditions.

The research opted for an experimental qualitative approach. It examined the extraction conditions of A.B., namely, temperature (°C), time (min) and mass-to-liquor ratio (M:R) using ultraviolet-visible spectrophotometry. Identification of bioactive compounds present in the dye was performed using Raman spectroscopy and the validation of the results was done by FTIR spectroscopy.

The study determined the best extraction conditions (time, temperature, M:R) for A.B bulb. The study confirmed the presence of bioactive compounds.

The limitation was quantification of bioactive compounds in A.B bulb.

The findings prove that the A.B. bulb can provide a sustainable source of bioactive compounds (functionalized compounds). The study provides suitable extraction conditions for A.B. and further elaborates on the techniques for identifying bioactive compounds in A.B. bulb extracts.

The study provides A.B. as a source of bioactive compounds and a clean dye for textile coloration.

To the best of the authors’ knowledge, there is no documented study on the qualitative analysis of bioactive compounds in A.B using Raman and FTIR. Therefore, the study fulfils the identified need to ascertain alternative procedures for the analysis of bioactive compounds.

Digital transformation (DT) innovation is a monumental contribution that has had a profound effect on several worldwide industries. The aim of this research is to evaluate the current and future trends in DT specifically focusing in construction industry.

This study adopts a qualitative analysis approach grounded on descriptive and bibliometric analyses. In total, 283 papers from Scopus between January 2015 and April 2023 were retrieved in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) review methodology. This study examines the publishing trends, most productive nation, university, publications and authors. Keyword co-occurrence analysis and thematic evolution were analyzed through Vosviewer and Biblioshiny.

The results illustrate a growing desire to use digital technologies in the construction industry, which shows the topic's power and expanding popularity. This research reveals various emerging themes based on technology usage in construction sector. Out of 14 themes, occupational health and safety, mass customization, virtual reality and artificial intelligence were identified as isolated themes. Further, this study elaborates the difficulties encountered by the construction industry while employing digital technologies and examines the interrelationships among various keywords in DT and reveals the paradoxes and hotspots.

This research adds to the body of literature as it identifies the research areas and gaps in the existing DT domain in construction industry. The integration of technology in this sector has an intense positive future vision as various subareas have immense potential for technology application.