bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigating collaborative learning in architectural design studios from the instructors’ perspective
Authors: Karimi Hirou , Farivarsadri Guita 
Published: July 2024

PurposeThis paper aims to examine the barriers to adopting collaboration in architectural design studios from the instructors' perspectives and explore strategies to overcome barriers.Design/methodology/approachSemi-structured interviews were conducted with 14 coordinators in architecture and interior architecture design studios to gather insights into their experiences and perspectives on collaboration. Thematic analysis was employed to identify key themes and patterns in the data.FindingsThe study reveals that collaboration is highly valued by instructors for its potential to enhance creativity, problem-solving abilities, and preparation skills among students. However, the study identified several barriers, such as student conflicts, coordination challenges, cultural differences, and technological constraints.Practical implicationsThe instructors recommended specific strategies to promote collaboration in architectural design studios. These strategies include involving students in collaborative projects, providing training in collaboration skills, striking a balance between online and in-person activities, and developing supportive policies and skills. Implementing these strategies can help design programmemes that prepare students for professional success and future careers.Originality/valueThis study sheds light on the importance of integrating collaboration skills in architectural education. By exploring barriers and suggesting strategies, it provides valuable insights for educators and encourages further research into the implementation of these strategies. Design programmes can benefit from adopting a multifaceted approach to foster collaboration among students, thereby enhancing their learning experience and future prospects.
Speech intelligibility evaluation of small-scale mosque with multiple domes design
Authors: Alfian Ndaru Nuridho , Kanu Rashid , Mohammed Mohammed Alhaji 
Published: July 2024

PurposeMosques are built with dome-shaped ceilings for communal worship with common architectural styles worldwide for prayer. Since the acoustics of worship buildings are just as significant as their aesthetics, they should enhance people’s sense of hearing. This study evaluates the speech intelligibility of a small mosque with multiple domes to determine the space acoustic conditions.Design/methodology/approachThe investigation involved extensive literature reviews to collect relevant data to model the case study. The Enhanced Acoustics Simulator for Engineers (EASE) software program was used to integrate critical parameters such as the absorption coefficient of materials, dome shapes and the number of domes in the simulation. The study employed speech intelligibility parameters such as C50, S.T.I. and %ALcons to assess the acoustic conditions. The assessment model was validated through statistical analysis and a paired t-test.FindingsThe study discovered that varying shapes of the multiple domes showed no significant impact on speech intelligibility. However, different multiple domes materials resulted in significant disparities in speech intelligibility. Applying high-absorption materials in multiple dome designs achieved the most effective acoustic performance. Except for C50 in some circumstances and receiver positions, all other alternatives met the optimal value for overall speech intelligibility because the sound was not sufficiently diffused early on, suggesting that the early reflection sounds were either weak or insufficient.Originality/valueThis study not only helps to determine the multiple-dome effect on mosque acoustics but also empowers archaeoacoustics and historic conservation by documenting these significant places of worship. The findings advocate using high-absorption materials in multiple dome designs and offer practical insight into mosque design material selection. By enhancing the understanding of the acoustic conditions in small-scale mosques, this study equips architects, engineers and builders with the knowledge to create spaces prioritizing speech clarity and intelligibility.
Circular economy implementation and sustainability performance of the textile industry in an emerging economy
Authors: Ho Yi-Hui , Lin Chieh-Yu 
Published: July 2024

PurposeThis study attempts to explore the association between circular economy implementation and sustainability performance for the textile industry in Vietnam. This study also investigated the influences of corporate green commitment on implementing circular economy practices as well as the moderating effect of corporate green efficacy on the relationship between corporate green commitment and circular economy implementation.Design/methodology/approachThe circular economy practices in the study were divided into three categories: internal environmental management, eco-design, and investment recovery. Sustainability performance consists of economic performance, environmental performance, and social performance. A questionnaire survey on Vietnam’s textile companies was conducted in the study to test the proposed research framework.FindingsResearch findings reveal that corporate green commitment significantly influences the implementation of circular economy practices, and circular economy practices have significantly positive influences on sustainability performance. Corporate green efficacy significantly moderates the association between corporate green commitment and circular economy implementation.Originality/valueAs one of the first empirical studies focusing on the circular economy issues in Vietnam’s textile industry, this study extended the understanding of the antecedents and consequences of implementing circular economy practices. The research results are theoretically and practically meaningful.
Navigating human-AI dynamics: implications for organizational performance (SLR)
Authors: Khushk Amir , Zhiying Liu , Yi Xu , Zhang Xiaolan 
Published: July 2024

Purpose
The purpose of this study is to investigate the key characteristics of artificial intelligence (AI) in organizational settings, analyze its capacity to reduce customer service jobs in favor of more advanced roles and analyze its efficacy in candidate screening by emphasizing performance.

Design/methodology/approach
A comprehensive analysis of 40 papers is performed using the PRISMA method based on data from Web of Science, Scopus, Emerald and Google Scholar.

Findings
The findings show optimized human resource management operations such as recruiting and performance monitoring, resulting in increased precision in hiring and decreased employee turnover. Customer service automation redistributes human labor to more intricate positions that need analytical reasoning and empathetic skills.

Practical implications
The study has two key implications. First, AI can streamline customer service, freeing up human workers for more complex tasks. Second, AI may increase candidate screening accuracy and efficiency, improving recruiting outcomes and organizational performance.

Originality/value
The study adds to the current literature by shedding light on the intricate relationships between AI and organizational performance and providing insights into the processes underpinning trust-building in AI technology.
Characteristics and challenges of teaching and learning in sustainability-oriented Living Labs within higher education: a literature review
Authors: van der Wee Marlies L.E. , Tassone Valentina C. , Wals Arjen E.J. , Troxler Peter 
Published: July 2024

Purpose
This study aims to bring together the available scattered knowledge about teaching and learning in Living Labs within higher education, and to explore their potential for supporting students’ sustainability-oriented transformative learning.

Design/methodology/approach
A literature review was conducted, applying a realist approach. A sample of 35 articles was analyzed qualitatively, mapping the data according to the realist constructs “context,” “intervention,” “mechanism” and “outcome” and using the constant comparison method for data analysis.

Findings
This study identified multiple characteristics of teaching and learning in sustainability-oriented Living Labs, namely, two socio-physical teaching and learning contexts, two pedagogical approaches as interventions therein, four learning processes as (potential) mechanisms and six sustainability-related learning outcomes. Two main challenges were also identified.

Originality/value
To the best of the authors’ knowledge, this is the first study that brings together the scattered results from previous studies into a comprehensive description of characteristics and challenges of teaching and learning in Living Labs as sustainability-oriented learning spaces in higher education. The findings can support educators in making scientifically grounded informed choices for teaching and learning in Living Labs and inform future empirical studies to examine when, how and why certain characteristics of teaching and learning in Living Labs, as identified in this study, can support sustainability-oriented transformative learning in higher education.
Topology-preserved distorted space path planning
Authors: Xie Yangmin , Yang Qiaoni , Zhou Rui , Cao Zhiyan , Shi Hang 
Published: July 2024

Purpose
Fast obstacle avoidance path planning is a challenging task for multijoint robots navigating through cluttered workspaces. This paper aims to address this issue by proposing an improved path-planning method based on the distorted space (DS) method, specifically designed for high-dimensional complex environments.

Design/methodology/approach
The proposed method, termed topology-preserved distorted space (TP-DS) method, mitigates the limitations of the original DS method by preserving space topology through elastic deformation. By applying distinct spring constants, the TP-DS autonomously shrinks obstacles to microscopic areas within the configuration space, maintaining consistent topology. This enhancement extends the application scope of the DS method to handle complex environments effectively.

Findings
Comparative analysis demonstrates that the proposed TP-DS method outperforms traditional methods regarding planning efficiency. Successful obstacle avoidance tasks in the cluttered workspace validate its applicability on a physical 6-DOF manipulator, highlighting its potential for industrial implementations.

Originality/value
The novel TP-DS method generates a topology-preserved collision-free space by leveraging elastic deformation and shows significant capability and efficiency in planning obstacle-avoidance paths in complex application scenarios.
A physics-informed deep learning-based urban building thermal comfort modeling and prediction framework for identifying thermally vulnerable building stock
Authors: Ramalingam Rethnam Omprakash , Thomas Albert 
Published: July 2024

PurposeDue to the increasing frequency of extreme weather and densifying urban landscapes, residences are susceptible to heat-related discomfort, especially those in a naturally ventilated built environment in tropical climates. Indoor thermal comfort is thus paramount to building sustainability and improving occupants' health and well-being. However, to assess indoor thermal comfort considering the urban context, it is conventional to use questionnaire surveys and monitoring units, which are both case-centric and time-intensive. This study presents a dynamic computational thermal comfort modeling framework that can determine indoor thermal comfort at an urban scale to bridge this gap.Design/methodology/approachThe framework culminates in developing a deep learning model for predicting the accurate hourly indoor temperature of urban building stock by the coupling urban scale capabilities of environment modeling with single-building dynamic thermal simulations.FindingsUsing the framework, a surrogate model is created and verified for Dharavi, India's informal urban settlement. The results indicated that the developed surrogate model could predict the building's indoor temperature in several complex new urban scenarios with different building orientations, layouts, building-to-building distances and surrounding building heights, using five different random urban representative scenarios as the training set. The prediction accuracy was reliable, as evidenced by the mean bias error (MBE) and coefficient of (CV) root mean squared error (MSE) falling between 0 and 5%. The findings also showed that if the urban context is ignored, estimates of annual discomfort hours may be inaccurate by as much as 70%.Social implicationsThe developed computational framework could help regulators and policymakers engage in more informed and quantitative decision-making and direct efforts to enhance the thermal comfort of low-income dwellings and informal settlements.Originality/valueUp to this point, majority of literature that has been presented has concentrated on building a body of knowledge about urban-based modeling from an energy management standpoint. In contrast, this study suggests a dynamic computational thermal comfort modeling framework that takes into account the urban context of the neighborhood while examining the indoor thermal comfort of the residential building stock.
PhD Progression: a micro-credentialing program motivates and supports PhD students’ professional development at a US University
Authors: Gnangnon Bénédicte , Li Kuang , Rezaei Dena Fatemeh , Marks Mishonne Maryann , Dellarocas Chrysanthos , Hokanson Sarah Chobot , Goldman Sasha B. 
Published: July 2024

PurposeThis study aims to present the evaluation of a competency-based online professional development training program, PhD Progression, tied to a digital badge system, created to support PhD students across fields.Design/methodology/approachThis study took place at Boston University, a large, nonprofit, Carnegie Classified R1 research-intensive institution located in the northeastern region of the USA. Through internal campus collaborations, the authors developed a PhD core capacities framework. Building from this framework, the authors designed the first learning level of the program and ran a pilot study with PhD students from various fields and at different stages of their PhD. Using surveys and focus groups, the authors collected both quantitative and qualitative data to evaluate this program.FindingsThe quantitative and qualitative data show that the majority of the PhD student participants found the contents of the competency-based training program useful, appropriate for building skills and knowledge and therefore relevant for both their degree progress and their future job. Gaining digital badges significantly increased their motivation to complete training modules.Practical implicationsThis type of resource is scalable to other institutions that wish to provide self-paced professional development support to their PhD students while rewarding them for investing time in building professional skills and enabling them to showcase these skills to potential employers.Originality/valueThis study demonstrates, for the first time, that tying a digital badging system to a competency-based professional development program significantly motivates PhD students to set professional development goals and invest time in building skills.
Foliar phosphorus concentration modulates the defensive mutualism of an endophytic fungus in a perennial host grass
Authors: Decunta F. A. , Pérez L. I. , Graff P. , Gundel P. E. 
Published: July 2024

Abstract

Grasses hosting Epichloë endophytes are protected against herbivores due to the production of various fungal alkaloids. Previous research has found that high foliar phosphorus concentrations reduce the level of the alkaloid ergovaline, thereby reducing the endophyte‐mediated herbivore resistance. Yet, the impact of phosphorus on ergovaline biosynthesis versus its influence on endophyte growth and synthesis of other fungal alkaloids remains unresolved. Our objective was to elucidate these relationships.

We grew endophyte‐symbiotic and non‐symbiotic Festuca arundinacea plants and fertilised them with different doses of phosphorus. Later, half of the plants from each treatment were challenged with larvae of the generalist chewing insect Spodoptera frugiperda. We assessed the relationships between foliar phosphorus levels, fungal mycelium and alkaloid concentrations, as well as their impacts on larvae performance, herbivore‐caused damage and plant biomass.

Endophyte mycelial biomass in plant tissue was found to be independent of foliar phosphorus concentration. The alkaloids lolines and peramine showed a linear relationship with mycelial biomass but no correlation with foliar phosphorus. Surprisingly, high ergovaline concentrations were positively associated with an interaction between endophyte mycelial biomass and foliar phosphorus concentration. Although herbivory increased loline concentration, only high concentrations of ergovaline and peramine were related to reduced S. frugiperda larvae weight gain. However, endophyte presence did not reduce herbivory damage on plants.

Contrary to expectation, we did not find a negative but a positive association between concentrations of foliar phosphorus and ergovaline alkaloid, through its interaction with endophyte mycelial biomass. Alternatively, our findings suggest that phosphorus plays a crucial role in modulating the Epichloë‐mediated defensive mutualism, primarily through its effects on ergovaline rather than on endophyte concentration or production of other alkaloids.

Read the free Plain Language Summary for this article on the Journal blog.
Long‐term effects of climate change on juvenile bull shark migratory patterns
Authors: Matich Philip , Plumlee Jeffrey D. , Bubley Walter , Curtis Tobey H. , Drymon J. Marcus , Mullins Lindsay L. , Shipley Oliver N. , TinHan Thomas C. , Fisher Mark R. 
Published: July 2024

Abstract

Seasonal variability in environmental conditions is a strong determinant of animal migrations, but warming temperatures associated with climate change are anticipated to alter this phenomenon with unknown consequences.

We used a 40‐year fishery‐independent survey to assess how a changing climate has altered the migration timing, duration and first‐year survival of juvenile bull sharks (Carcharhinus leucas).

From 1982 to 2021, estuaries in the western Gulf of Mexico (Texas) experienced a mean increase of 1.55°C in autumn water temperatures, and delays in autumn cold fronts by ca. 0.5 days per year. Bull shark migrations in more northern estuaries concomitantly changed, with departures 25–36 days later in 2021 than in 1982. Later, migrations resulted in reduced overwintering durations by up to 81 days, and the relative abundance of post‐overwintering age 0–1 sharks increased by >50% during the 40‐year study period.

Yet, reductions in prey availability were the most influential factor delaying migrations. Juvenile sharks remained in natal estuaries longer when prey were less abundant. Long‐term declines in prey reportedly occurred due to reduced spawning success associated with climate change based on published reports. Consequently, warming waters likely enabled and indirectly caused the observed changes in shark migratory behaviour.

As water temperatures continue to rise, bull sharks in the north‐western Gulf of Mexico could forgo their winter migrations in the next 50–100 years based on current trends and physiological limits, thereby altering their ecological roles in estuarine ecosystems and recruitment into the adult population. It is unclear if estuarine food webs will be able to support changing residency patterns as climate change affects the spawning success of forage species.

We expect these trends are not unique to the western Gulf of Mexico or bull sharks, and migratory patterns of predators in subtropical latitudes are similarly changing at a global scale.
The Dynamics of Investor Sentiment Impacts in Equity Crowdfunding: Unveiling the When
Authors: Nguyen Thang , Guo Jiaqi , Dao Daniel , Nguyen Frank , To Bao 
Published: July 2024

AbstractExpanding upon the known impact of investor sentiment on crowdfunding contributions, we delve deeper to pinpoint specific conditions under which sentiment influences investor choices. Grounded in psychological theory, we assert that sentiment's influence thrives at the peak of investor attention, primarily on a campaign's first day and among projects with greater uncertainty. Our empirical study, based on 447 campaigns with 17,244 daily observations from the United Kingdom's Crowdcube platform, substantiates our claim. Our research enhances the comprehension of equity crowdfunding investors and provides practical insights for its proponents.
Market concentration and productivity: evidence from the UK
Authors: Savagar Anthony , Aguda Oluwaseun , Galanakis Yannis , Wu Jingwei 
Published: July 2024

AbstractWe measure product market concentration and business dynamism in the UK from 1997 to 2020 and study the relationship with productivity. Our results show that concentration in the UK is increasing among narrow industries on average, but for a broad market definition, concentration and business dynamism are stable. We find a negative relationship between concentration and productivity for the average firm, but a positive relationship for the average worker. This occurs because higher industry concentration is associated with better allocative efficiency, measured by the proportion of workers in higher‐productivity firms.
Comparability of radar and optical methods in identifying surface water in a semi‐arid protected area
Authors: Dzinotizei Zorodzai , Ndagurwa Hilton G. T. , Ndaimani Henry , Chichinye Angella 
Published: July 2024

AbstractSurface water assumes a pivotal role in sustaining a wide range of wildlife species in semi‐arid protected areas. However, differences in surface water body typology, underlying soil type, wildlife activity, the presence of phytoplankton amongst other factors, result in high variability of surface water spectral reflectance and detection accuracy. In this study, the performance of radar and optical methods was evaluated in detecting surface water of variable spectral reflectance in Hwange National Park, Zimbabwe using Sentinel‐1 radar and Sentinel‐2 optical images for the period 2016–2023. Results demonstrated that radar methods had low surface water detection accuracy which was highly variable as shown by overall accuracy and kappa statistic measures which continuously changed over time compared with optical methods. The overall best‐performing method was the optical AWEInsh (sharpened) which showed high surface water detection accuracy and consistency (OA: 94%–100%) and (κ: 0.88–1.00) from 2016 to 2023. Therefore, optical methods present a stable and robust way for surface water monitoring in heterogeneous semi‐arid protected areas. However, radar‐based methods should be continually explored where optical‐based technologies are impeded as a result of vegetation cover and cloud conditions.