bluuebunny/crossref_metadata_2025_split huggingface dataset:
Retractions in academic publishing: insights from highly ranked global universities
Authors: Khan Rahat , Joshi Abhinav , Kaur Khushdeep , Sinhababu Atasi , Chakravarty Rupak 
Published: July 2024

Purpose
The study aims to profile the scientific retractions in the top five global universities and provide descriptive statistics on specific subjects.

Design/methodology/approach
The data for reasons behind retractions is manually extracted from the Retraction Watch Database. The top five global universities according to the Times Higher Education global ranking of 2024 are selected for this study.

Findings
The study found that Stanford University emerged with the highest number of retractions in the assessment across institutions in the field of basic life sciences and health sciences. Notably, the predominant reasons for these retractions were identified, with “unreliable results” being the most prevalent, accounting for 53 retractions. Following closely was the category of “errors in results and/or conclusions”, contributing to 51 retractions. MIT has the longest time between publication and retraction of any subject group, with an average of 1,701 days.

Research limitations/implications
This study has some limitations, as it only analysed the retractions of the top five global universities.

Originality/value
The study provides a comprehensive analysis of retractions in academic publishing, focusing on reasons, time gaps, article types and accessibility categories across prestigious universities. The paper underscores the critical role of retractions in maintaining the integrity of scientific literature, emphasizing the importance of transparent correction and responsible peer review to ensure the reliability and trustworthiness of published research. Results show that common reasons for retractions include duplication, fake peer review and plagiarism, underlining the need for ethical research standards.
Numerical simulation of natural convection in a differentially heated cubical cavity with solid fins
Authors: Le Xuan Hoang Khoa , Öztop Hakan F. , Sheremet Mikhail A. 
Published: July 2024

Purpose
The performance of solid fins inside a differentially heated cubical cavity is numerically studied in this paper. The main purpose of the study is to make an optimization to reach the maximum heat transfer in the enclosure having the solid fins with studied parameters.

Design/methodology/approach
The considered domain of interest is a differentially heated cube having heat-conducting solid fins placed on the heated wall while an opposite wall is a cooled one. Other walls are adiabatic. Governing equations describing natural convection in the fluid filled cube and heat conduction in solid fins have been written using non-dimensional variables such velocity and vorticity taking into account the Boussinesq approximation for the buoyancy force and ideal solid/fluid interfaces between solid fins and fluid. The formulated equations with appropriate initial and boundary conditions have been solved by the finite difference method of the second of accuracy. The developed in-house computational code has been validated using the mesh sensitivity analysis and numerical data of other authors. Analysis has been performed in a wide range of key parameters such as Rayleigh number (Ra = 104–106), non-dimensional fins length (l = 0.2–0.8), non-dimensional location of fins (d = 0.2–0.6) and number of fins (n = 1–3).

Findings
From numerical methods point of view the used non-primitive variables allows to perform numerical simulation of convective heat transfer in three-dimensional (3D) regions with two advantages, namely, excluding difficulties that can be found using vector potential functions and reducing the computational time compared to primitive variables and SIMPLE-like algorithms. From a physical point of view, it has been shown that using solid fins can intensify the heat transfer performance compared to cavities without any fins. Fins located close to the bottom wall of the cavity have a better heat transfer rate than those placed close to the upper cavity surface. At high Rayleigh numbers, increasing the fins length beyond 0.6 leads to a reduction of the average Nusselt number, and one solid fin can be used to intensify the heat transfer.

Originality/value
The present numerical study is based on hybrid approach for numerical analysis of convective heat transfer using velocity and vorticity that has some mentioned advantages. Obtained results allow intensifying the heat transfer using solid fins in 3D chambers with appropriate location and length.
Time savings associated with lights and siren use by ambulances: a scoping review
Authors: Shekhar Aditya , Clement Jeffrey 
Published: July 2024

PurposeMany studies have suggested the use of lights and siren by ambulances has the potential to save time, which can be clinically beneficial for certain patients. However, other studies suggest lights and siren use increases an emergency vehicle’s crash risk. In the absence of a comprehensive multi-center trial, a meta-analysis of prior studies can offer insight into this topic. Thus, we conducted a meta-analysis to evaluate the extent to which the use of lights and siren decreases response and transport times nationally.Design/methodology/approachWe searched PUBMED, EBSCO Academic Search Ultimate, Google Scholar and the premier EMS journals for potential articles identifying time savings associated with lights and siren use and augmented the search results with other relevant studies. Studies were included if they compared time involved with driving a given route using lights and siren with the time required to drive the same route without lights and siren.FindingsNine studies were included. Across these studies, lights and siren use was associated with a weighted average time savings of 159 s or 2.7 min (95% CI: 100–219 s, p < 0.0001).Originality/valueOur analysis of the previously-published literature reveals that lights and siren use is associated with time savings across geographies; however, the precise difference may only be beneficial to certain patients. Most studies are small and relatively dated, so individual EMS systems ought to study their specific geography to inform policies that maximize the beneficial impact of lights and siren use and minimize unnecessary risk.
Sustainable development through service learning and community engagement in higher education: a systematic literature review
Authors: Rodríguez-Zurita Denise , Jaya-Montalvo Maria , Moreira-Arboleda Jerry , Raya-Diez Esther , Carrión-Mero Paul 
Published: July 2024

Purpose
This study aims to delve into the evolution, trends and implications of scientific production related to service learning (SL) and community engagement for sustainability in higher education institutions (HEIs). Because HEIs play a crucial role in achieving the sustainable development goals (SDGs), experiential learning approaches are needed to actively involve students in sustainable development.

Design/methodology/approach
In total, 869 publications from Web of Science and Scopus databases were analysed using a bibliometric approach that included performance analysis and science mapping. Subsequently, a systematic literature review was conducted on 118 publications, focusing on their contribution to SDGs and alignment with United Nations Educational Scientific and Cultural Organisation’s fields of expertise.

Findings
The findings reveal two significant trends: a substantial shift from curriculum development (2000–2010) to education for sustainable development (2011–2022), and the effectiveness of experiential learning teaching approaches, such as the integration of SL with community engagement and the use of innovative research methods in promoting the acquisition of sustainable development competencies. Additionally, community-based research, participatory action research and capacity development emerged as the primary topics.

Research limitations/implications
While this research is based on publications from two prominent databases, it may not include significant studies published in other databases.

Practical implications
These findings suggest that stakeholders should incorporate experiential learning activities and innovative research approaches to enhance education in, for and from sustainability.

Originality/value
This study offers a fresh perspective on the intellectual framework of experiential learning teaching approaches concerning sustainability in HEIs.
Ultimate resistance and fatigue performance predictions of woven-based fiber reinforced polymers using a computational homogenization method
Authors: Li Junqiang , Xin Haohui , Zhang Youyou , Gao Qinglin , Zhang Hengyu 
Published: July 2024

PurposeIn order to achieve the desired macroscopic mechanical properties of woven fiber reinforced polymer (FRP) materials, it is necessary to conduct a detailed analysis of their microscopic load-bearing capacity.Design/methodology/approachUtilizing the representative volume element (RVE) model, this study delves into how the material composition influences mechanical parameters and failure processes.FindingsTo study the ultimate strength of the materials, this study considers the damage situation in various parts and analyzes the stress-strain curves under uniaxial and multiaxial loading conditions. Furthermore, the study investigates the degradation of macroscopic mechanical properties of fiber and resin layers due to fatigue induced performance degradation. Additionally, the research explores the impact of fatigue damage on key material properties such as the elastic modulus, shear modulus and Poisson's ratio.Originality/valueBy studying the load-bearing mechanisms at different scales, a direct correlation is established between the macroscopic mechanical behavior of the material and the microstructure of woven FRP materials. This comprehensive analysis ultimately elucidates the material's mechanical response under conditions of fatigue damage.
The impact of behavioral biases on investment decisions: a serial mediation analysis
Authors: Shunmugasundaram V , Sinha Aashna 
Published: July 2024

PurposeThe purpose of this study is to investigate the impact of behavioral biases on investment decisions through a serial mediation of overconfidence and disposition effects.Design/methodology/approachThe authors assess the behavioral biases affecting the investment decisions of life insurance policyholders through the serial mediation of overconfidence and disposition effects using a structured questionnaire. The study included 501 life insurance policyholders who were selected using a snowball sampling technique.FindingsThe results of this study revealed that behavioral biases influence the investment decisions of life insurance policyholders. The results also support the serial mediation model, where behavioral biases influence the investment decisions of life insurance policyholders via overconfidence and disposition effects.Research limitations/implicationsThis study makes a theoretical contribution to the field of behavioral finance by exploring the influences of behavioral biases on investment decisions. It also introduces overconfidence and disposition effects as serial mediators between behavioral biases and investment decisions. The study will be helpful for researchers, academicians and policymakers in the development of a more comprehensive model in the area of behavioral finance and in raising awareness regarding those biases among policyholders in order to improve their investment strategy.Originality/valueThis study has extended the ongoing simple mediation model by integrating overconfidence and disposition effects in a serial mediation model between behavioral biases and investment decisions. The study will contribute to the area of behavioral finance, as it is the first time this particular study has been conducted according to the authors’ knowledge.
Impact of the COVID-19 pandemic on commercial housing demand in Vietnam
Authors: Hue Nguyen Thi , Nam Pham Phuong 
Published: July 2024

Purpose
The study aimed to determine the impact rate of the COVID-19 pandemic on Vietnam’s commercial housing demand as compared to other factors and proposes several policies to increase housing demand as a result of the pandemic.

Design/methodology/approach
The study randomly investigated 400 homebuyers during the COVID-19 pandemic. The structural equation model, SPSS20.0 and AMOS24.0 software were used to determine the impact of factor groups on housing demand.

Findings
The COVID-19 pandemic has a second impact after housing prices on commercial housing demand, followed by 10 other factors. The impact rates of factors range from 3.45% to 15.74%.

Research limitations/implications
The study has only determined the extent of the impact of the COVID-19 pandemic on housing demand in Hanoi city, so it is necessary to continue to study this issue in other provinces and cities of Vietnam. The proposed research method would be consulted when it is necessary to determine the factors affecting housing demand in other countries around the world.

Practical implications
The study proposes some implications related to commercial housing demand in the context of the COVID-19 pandemic such as fighting the epidemic, supporting housing investors; reducing loan interest rates; increasing the time to pay for housing; supporting enterprises to stabilize production; strengthening real estate brokerage and carrying out administrative procedures online.

Social implications
Investors and the State can use the implications to make the right housing decisions to provide housing for people and maintain social stability.

Originality/value
To the best of the authors’ knowledge, this paper presents for the first time a method to determine the impact of the COVID-19 pandemic on commercial housing demand in Vietnam. The paper also points out some specific factors affecting commercial housing demand that are different from those shown in previous research.
Coordinated replenishment policies for a single-supplier multi-retailer cold chain for fresh produce
Authors: Chen Guo , Mohamed Ismail Mohamed Wahab , Fang Liping 
Published: July 2024

Purpose
The single-supplier multi-retailer cold chain is a widely adopted type of supply chain in the real-world food industry. This paper aims to consider the problem of effectively designing and managing a single-supplier multi-retailer cold chain for fresh produce with deterministic demand to minimize the total cost, which includes cooling, loss of value and carbon emission costs.

Design/methodology/approach
The global stability index (GSI) method and the non-Arrhenius model are integrated to describe the behavior of food quality degradation. The power-of-two (PoT) policy is adopted in determining the coordinated replenishment policies for the suppliers and retailers, and an appropriate wholesale price structure that can achieve the coordination of the chain is presented.

Findings
The properties of the cold chain are uncovered, and an appropriate wholesale price scheme that achieves chain coordination with the optimal PoT decision is provided. In the numerical examples, different scenarios are investigated, and it is found that the cold chain parameters influence the optimal decisions in certain ways.

Originality/value
The PoT policy – an efficient policy to determine the replenishment strategy – has not been adopted in finding the solution of a single-supplier multi-retailer cold chain in the literature. Also, no study has compared the uncoordinated and coordinated cold chain. Moreover, in the existing literature, the wholesale price is usually a constant rather than having a coordinated scheme. This research aims to fill these research gaps.
Procurement practices and operational performance: a study of linear and curvilinear relationships in a developing economy
Authors: Agbeka Eugene Kafui , Quagrainie Fanny Adams , Kabalan Alan Anis Mirhage 
Published: July 2024

Purpose
While operational performance is important for a company's competitiveness and profitability, this study claims that procurement may be required to drive operational performance. This study aims to focus on how procurement practices is related to operational performance among selected manufacturing firms.

Design/methodology/approach
The model was tested on a sample of 329 manufacturing firms in clothing and textiles, chemicals and plastics, food and beverages processing, wood processing, metal processing and pharmaceutical manufacturing industries in a developing economy.

Findings
The results indicate that firms with higher and optimal level of procurement practices achieve higher levels of operational performance. Regardless of the H1 rationale, this study suggests that increasing procurement techniques has a limit in terms of improving operational performance. This study establishes that extreme level of procurement practices is associated with decreasing operational performance.

Practical implications
This study calls attention to how managers can guide organizations in refining their procurement strategies and practices; there is the need to strive to strike a balance between diversification and efficiency in procurement.

Social implications
Manufacturing firms are often integral parts of local communities. The decisions they make regarding procurement practices can impact the economic health of these communities. Striking a balance between diversification and efficiency can contribute to sustainable business practices that benefit both the company and the local community.

Originality/value
As the main contribution, this study brings the additional perspective that extreme level of procurement practices is associated with decreasing operational performance.
A novel framework inspired by human behavior for peg-in-hole assembly
Authors: Guo Peng , Si Weiyong , Yang Chenguang 
Published: July 2024

Purpose
The purpose of this paper is to enhance the performance of robots in peg-in-hole assembly tasks, enabling them to swiftly and robustly accomplish the task. It also focuses on the robot’s ability to generalize across assemblies with different hole sizes.

Design/methodology/approach
Human behavior in peg-in-hole assembly serves as inspiration, where individuals visually locate the hole firstly and then continuously adjust the peg pose based on force/torque feedback during the insertion process. This paper proposes a novel framework that integrate visual servo and adjustment based on force/torque feedback, the authors use deep neural network (DNN) and image processing techniques to determine the pose of hole, then an incremental learning approach based on a broad learning system (BLS) is used to simulate human learning ability, the number of adjustments required for insertion process is continuously reduced.

Findings
The author conducted experiments on visual servo, adjustment based on force/torque feedback, and the proposed framework. Visual servo inferred the pixel position and orientation of the target hole in only about 0.12 s, and the robot achieved peg insertion with 1–3 adjustments based on force/torque feedback. The success rate for peg-in-hole assembly using the proposed framework was 100%. These results proved the effectiveness of the proposed framework.

Originality/value
This paper proposes a framework for peg-in-hole assembly that combines visual servo and adjustment based on force/torque feedback. The assembly tasks are accomplished using DNN, image processing and BLS. To the best of the authors’ knowledge, no similar methods were found in other people’s work. Therefore, the authors believe that this work is original.
How does energy intensity impact economic growth for the case of a small island country
Authors: Janahi Fatema , Hamdi Helmi , Mili Mehdi 
Published: July 2024

AbstractIn this article, we explore the relationships between economic growth and energy intensity in Bahrain, and we analyse how energy intensity, population, and other macroeconomic variables are associated with each in the short and long run. In the empirical section we use data span from 1980 to 2019 and we perform a vector error correction model and cointegration technique to detect causality between the variables used in the model. The main findings of this article show that economic growth, population and FDI increased energy intensity in Bahrain in the short run. Therefore, an urgent need to be embedded in the sustainable energy action plan to limit the harmful effects of economic activity on the environmental quality in Bahrain and to ensure environmental sustainability.
Capitalizing on natural resources rent and renewable energy in enhancing economic growth—New evidence with MMQR method
Authors: Kadir Musbau Omotola , Deka Abraham , Seraj Mehdi , Ozdeser Huseyin 
Published: July 2024

AbstractNatural resources are vital resources given by nature and are responsible for promoting a nation's economic development. However, with the existence of two opposing theories, it is essential to provide state‐of‐the‐art research that ascertains the association between natural resources and economic growth. The Rostow hypothesis presents the importance of natural resources in promoting economic growth, while the resources curse hypothesis alludes that natural resources, in the developing countries, reduce economic growth. The present research uses the contemporary Methods of Moments Quantile Regression method to explore on this relationship in the fifteen natural resources‐rich African countries. The data used are annual data for the period 1990 to 2021. The major results presented in this research show that natural resources rent significantly promotes economic growth in this region, supporting the postulations of Rostow's hypothesis. Renewable energy is also observed to play a significant role in raising economic growth of this region. However, labor force participation rate is determined to reduce economic growth and this can be explained by high levels of unemployment in this region. Capital provides a positive but insignificant effect on economic growth of the natural resources‐rich African countries. The study results also show that economic growth, capital, trade openness, and labor force enhance natural resources rent. The study calls for the improvement in the use of renewable energy and natural resources in order to attain sustainable economic development in this region.
Surveillance of respiratory viruses by aerosol screening in indoor air as an early warning system for epidemics
Authors: Eren Zeynep Bengi , Vatansever Cansel , Kabadayı Berk , Haykar Bedirhan , Kuloğlu Zeynep Ece , Ay Sedat , Nurlybayeva Kamila , Eyikudamacı Gül , Barlas Tayfun , Palaoğlu Erhan , Beşli Yeşim , Kuşkucu Mert Ahmet , Ergönül Önder , Can Fusun 
Published: July 2024

AbstractThe development of effective methods for the surveillance of seasonal respiratory viruses is required for the timely management of outbreaks. We aimed to survey Influenza‐A, Influenza‐B, RSV‐A, Rhinovirus and SARS‐CoV‐2 surveillance in a tertiary hospital and a campus over 5 months. The effectiveness of air screening as an early warning system for respiratory viruses was evaluated in correlation with respiratory tract panel test results. The overall viral positivity was higher on the campus than in the hospital (55.0% vs. 38.0%). Influenza A was the most prevalent pathogen in both locations. There were two influenza peaks (42nd and 49th weeks) in the hospital air, and a delayed peak was detected on campus in the 1st‐week of January. Panel tests indicated a high rate of Influenza A in late December. RSV‐A‐positivity was higher on the campus than the hospital (21.6% vs. 7.4%). Moreover, we detected two RSV‐A peaks in the campus air (48th and 51st weeks) but only one peak in the hospital and panel tests (week 49). Although rhinovirus was the most common pathogen in panel tests, rhinovirus positivity was low in air samples. The air screening for Influenza‐B and SARS‐Cov‐2 revealed comparable positivity rates with panel tests. Air screening can be integrated into surveillance programs to support infection control programs for potential epidemics of respiratory virus infections except for rhinoviruses.