bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management of canine wounds using platelet‐rich fibrin (PRF) biomaterial. A case series report
Authors: Soares Carla S. , Dias Isabel R. , Barros Luís C. , Pires Maria dos Anjos , Carvalho Pedro P. 
Published: March 2024

AbstractBackgroundThe increasing interest in platelet‐based therapies has underwritten the development of novel veterinary regenerative treatments. The haemoderivative platelet‐rich fibrin (PRF) comprises abundant concentrations of platelets and leucocytes, above the physiologic baseline, which are considered essential elements for wound regeneration, stimulating local angiogenesis, cellular migration, proliferation and differentiation, considered essential for skin repair.ObjectivesThis study aimed to describe the treatment of eight dogs with naturally occurring cutaneous wounds, where autologous PRF therapy was applied, using a protocol developed by our group.MethodsEight dogs, aged between 7‐month and 9‐year old, from different breeds and sexes, were enrolled in this study. Four of these wounds were clinically infected. In three cases, two PRF treatments were performed during the first week of treatment, followed by single weekly treatments from the second week onwards, until exophytic granulation tissues were present. In each case, the treatment was finalized only when complete wound closure was achieved. Wounds did not receive topical antiseptics, antibiotics or topical drugs to promote wound healing during the treatment.ResultsPRF‐grafting treatments were well tolerated in all treated wounds, inducing significant granulation tissue formation. PRF clots acted as a natural tissue filler, promoting epithelization and wound closure, without the requirement of topical antimicrobial/antiseptics application, or additional surgical debridement. Evident skin contraction was recorded in larger injuries and all the treatments resulted in vestigial aesthetic scars where hair growth was also observed.ConclusionsPRF‐therapy obtained promising results, as an alternative wound treatment, revealing a biological regenerative action, prompting the natural skin healing process.
Exploring sonography and histopathology of Geotrichum candidum‐associated early fetal loss in cattle
Authors: Negi Vijender , Sharma Akshay , Sharma Pururava , Kumar Pravesh , Ahuja Ankit K. , Sood Pankaj , Kumar Rakesh 
Published: March 2024

AbstractWhen firm implantation has occurred, pregnancy losses during the late embryonic or early fetal period are less common and typically occur before 60 days of gestation. A rare case of early fetal death due to Geotrichum candidum infection in a pluriparous Jersey crossbred cow was sporadically recorded during routine screening at the university cattle farm. The early fetal death was diagnosed using sequential sonographic examinations, and the aetiology was confirmed through microbiological examination and histopathological evaluation of an endometrial biopsy sample. It is concluded that, although mycotic abortions and fetal deaths are uncommon and sporadic, routine screening of cows for late embryonic and early fetal death remains essential.
Averaging or adding domain conductivities to calculate the unsaturated soil hydraulic conductivity
Authors: de Rooij Gerrit H. 
Published: March 2024

AbstractRecent models of the unsaturated hydraulic conductivity curve (UHCC) are the sum of separate UHCCs for domains of capillary water, film water, and water vapor. This requires parallel, noninteracting domains. A theoretical framework for aggregating domain conductivities to a bulk soil UHCC is presented to identify and possibly relax implicit assumptions about domain configuration. The paper develops arithmetic, harmonic, and geometric averages of the liquid‐water conductivities that can be arithmetically averaged with the vapor conductivity. However, current models for capillary and film conductivities are intrinsic, that is, valid within their respective domain. The vapor conductivity is a bulk conductivity, that is, it gives the conductivity of the gaseous domain as it manifests itself in the soil. Conversion relationships use the domain volume fractions as approximations of the as‐yet unknown weighting factors to convert between intrinsic and bulk conductivities. This facilitates consistent averaging of domain conductivities. Even with consistent averaging, a truly physically accurate model of the UHCC based on domain conductivities is fundamentally elusive. Nevertheless, models based on the three averages and the unweighted sum of the domain conductivities produce good fits to data for two soils but diverge in the dry range. The fitted curves for the capillary and film water depend on the averaging (or adding) method. Hence, they are not strictly characteristic of their respective domains. The true intrinsic domain conductivity functions may be impossible to determine.
Digital Inclusion and Learning at Home: Challenges for Low-Income Australian Families
Authors: Osman Kim , Marshall Amber , Dezuanni Michael 
Published: March 2024

AbstractThe sudden switch to learning exclusively at home during the COVID-19 pandemic revealed the extent of low levels of digital inclusion for many low-income and socially disadvantaged families and children in Australia. Many students and families struggled with access to, and the affordability of, devices and data, along with having the required digital skills and mentoring to learn at home. The Australian Government recognises that “socially vulnerable children are over-represented among the group of students who are educationally vulnerable” and the Australian Digital Inclusion Index shows there is a “substantial digital divide between richer and poorer Australians” (Thomas J, Barraket J, Wilson C, Cook K, Louie Y, Holcombe-James I, Ewing S, MacDonald T, Measuring Australia’s digital divide: the Australian digital inclusion index 2018. RMIT University, for Telstra, Melbourne, 2018). This combination of digital and social disadvantage has far-reaching consequences for the educational outcomes of children from low-income families in Australia. Additionally, as social, government, education and commercial services move rapidly towards ‘digital by default,’ digital inclusion and in particular, digital ability, are critical for social and economic participation in society (Dezuanni M, Allan C, Pittsworth stories: Developing a social living lab for digital participation in a rural Australian community. In: Dezuanni M, Foth M, Mallan K, Hughes H (eds) Digital participation through social living labs –valuing local knowledge, enhancing engagement. Chandos Publishing, Cambridge, pp 141–171, 2018; Al-Muwil A, Weerakkody V, El-haddadeh R, Dwivedi Y, Inform Syst Front 21(3): 635–659, 2019). This chapter outlines policy, government, industry and community responses to enabling children from low-income families in Australia to learn at home during the COVID-19 pandemic. It discusses how such responses can be part of sustainable solutions to the digital inclusion challenges of families that enables all family members to fully participate in society now, and beyond the COVID-19 pandemic.
Non-local Transport of Electrons in Plasmas
Authors: Takabe Hideaki 
Published: March 2024

AbstractSince plasma is high temperature and the charge particles are running with high temperature, for example, at 1 keV, about the velocity of 109 (electron) and 2 × 107 (ion) [cm/s]. Since Coulomb mean-free-path is proportional to (velocity)4, higher velocity component transfers its energy over a long distance without Coulomb collision. This is usually called as “non-local transport” and the traditional diffusion model in neutral gas cannot be applicable. In laser plasma, the locally heated electron thermal energy is transported into cold over-dense region non-locally. The best way to solve such problem is to solve Fokker-Planck equation, while it is time consuming and some theoretical models have been proposed and studied over the last four decades. The physics of such models are explained here and most recent model SNB is shown and compared to experiments. The difficulty of transport of charges particles such as electrons is how to include the effect of electrostatic field and magnetic field self-consistently.
The Perceptions of Science Teachers in Improving and Developing Science Learning of Students with Learning Difficulties in the Middle Stage of Private Schools in Dubai
Authors: AlSadoon Muna , Forawi Sufian 
Published: March 2024

AbstractPurpose-This research investigates science teachers’ perceptions and practices in enhancing the science learning of students with learning disabilities (LD), guided by social cognitive theory and Fox’s Personal Learning Theories.Methodology-The study utilized a questionnaire responded to by 156 science teachers from various private schools in Dubai.Findings-Findings indicate a positive perception among teachers towards developing science learning for students with LD, employing well-established strategies.Implications-the study emphasizes the need for guidance and coordination among stakeholders to maximize the impact of these positive perceptions.Originality/value-providing essential information for enhancing science teacher performance and creating an optimal classroom environment.
Sustainability in Healthcare Practice
Authors: Sajwani Rehab Anwar 
Published: March 2024

AbstractPurpose - This study examines sustainable healthcare approaches by reviewing the literature on sustainable healthcare practices. Understanding the dimensions of sustainable healthcare and the influencing variables will assist in strategic recommendations and future insights. It will further clarify various countries’ approaches, the UAE and EU in particular.Methodology - This study examines sustainable practice in healthcare, with the aim of compiling all relevant research and comprehending the study dimension and strategies through conducting a systematic mapping investigation.Findings - The paper emphasizes the significance of a comprehensive approach to comprehend the measurements and challenges of UAE and EU, and further develop strategies to consistently improve sustainability implementation in healthcare.Implications - Despite using scientific databases for the search that include high-quality journals, the scope of this paper is limited to the time during submission of this paper and keywords specified in this paper.Originality/value - This paper will improve academics’ understanding of the research and motivate them to broaden their studies of healthcare sustainability and adopt a more comprehensive approach.
Towards Gulf Emirati Dialect Corpus from Social Media
Authors: AlAzzam Bayan A. , Alkhatib Manar , Shaalan Khaled 
Published: March 2024

AbstractPurpose: This paper discusses the need for a corpus of Emirati traditional phrases and idioms in natural language processing (NLP) for the Gulf Emirati dialect and its potential applications in fields like voice recognition, machine translation, and sentiment analysis.Methodology: The researchers collected a corpus of more than 3000 traditional Emirati words and idioms by gathering data from several social media platforms, such as forums, YouTube, and Emirati radio stations. In addition, the researchers used the website scraping technologies to collect suitable resources, subsequently cleansing and organising the gathered material to ensure accuracy and consistency. A pilot investigation was undertaken, including an individual who is a native speaker of Emirati, in order to verify the precision of the dataset.Findings: The researchers successfully compiled a substantial dataset of traditional Emirati phrases and idioms, so enabling potential future investigations in the realm of Arabic dialects, specifically focusing on Gulf Arabic dialects such as the Emirati dialect.Implications: The compilation of Emirati traditional idioms and words presented in this study has potential practical effects in several domains such as medical, education, and business. These implications mostly revolve around enhancing communication among and with individuals proficient in the Emirati language.Originality/Value: This study distinguishes itself by concentrating on the compilation of an NLP corpus comprising traditional Emirati phrases and idioms, with a specific emphasis on the Gulf Emirati dialect. The dataset generated as a result of this effort may prove indispensable for further studies into Arabic dialects.
A Framework for Developing Information Requirements for Built Asset Management Based on Organisational Sustainability Objectives
Authors: Dong Yujie , Collinge William , Kirkham Richard , Rahbarimanesh Amir 
Published: March 2024

AbstractPurpose- In recent years, digital transformation using Building Information Modelling (BIM) systems has reshaped asset management. This process involves systematically maintaining and improving assets throughout an organization's lifecycle, with a focus on sustainability objectives. However, the current asset management process often wastes time and resources searching for asset information. This research aims to create a BIM-based framework, address the disconnection between asset management models and key indicators of sustainability, and help achieve the organisation's sustainability objectives.Methodology- This paper explores the relationship between asset management and sustainability objectives, establishing an integrated framework from existing literature. A seven-step approach to developing information needs is also proposed.Findings- It was found that asset information requirements are often formed without a direct link to the organisational objectives they are intended to achieve or are difficult to detect adequately. Recognising the cyclical nature of asset management and BIM and generating a framework.Implications- The framework will help address the disconnection between design aspirations and key indicators of sustainability.Originality value- The framework aligns asset management with sustainability objectives and integrates with BIM for a unified asset management platform.
Jordanian Expatriates’ Family Language Policy in Dubai
Authors: Razem Reem J. , Abu-Ayyash Emad A. S. 
Published: March 2024

AbstractThis pilot study explores the Family Language Policy (FLP) of two Jordanian expatriate families in Dubai and is underpinned by Spolsky’s FLP theoretical framework which has tripartite components of ideology, practice, and management. A qualitative constructivist approach and case study are adopted as the main methodology. Data were collected through in-depth semi-structured interviews with the parents and observation of the natural utterances of children. The purpose of the study is to refine the data collection instruments regarding both the procedures and the content of the gathered data to glean initial themes. Key findings identified contextual and cultural challenges while piloting the instruments which resulted in necessary methodological modifications to the data collection procedures. Implications include highlighting the benefits of pilot studies, modifying interview questions and observation procedures in response to challenges that face emerging researchers when conducting similar studies, and sharing the value of developing reflexive, culturally competent, and ethically responsive research practices in the field of Arabic sociolinguistics.
Performance of Mutual Fund During the Global Financial Crisis: Evidence from Saudi Arabia
Authors: Hamdan Rana Subhi , Al-Malkawi Husam-Aldin N. 
Published: March 2024

AbstractPurpose – This paper is an attempt to analyze the performance of the Saudi equity diversified fund on the basis of return and risk evaluation before, during and after the global financial crisis (GFC).Methodology – The study uses secondary data of 12 Saudi mutual funds from Jan 2000 until Dec 2018. The analysis is conducted by assessing various performance and statistical measures including average return, standard deviation, Sharpe ratio, Treynor ratio, and Information ratio (IR), and M2 measure. The outcomes of these measures are compared with a benchmark, i.e. the stock market index Tadawul.Findings – The results show that funds managers showed good decisions attempts during the crisis to minimize investors losses as the majority of the funds had positive IR during the crisis. Although the crisis had negative effect on MFs in Saudi Arabia, they outperformed the market.Riyad Saudi Equity Fund and Saudi Fransi Saudi Istithmar Equity Fund outperformed all other fund in the sample during the crisis,Research Implications – This study would be useful for new investors who want to start investing in funds with good history of investment and portfolio management during the financial crises. For decision makers of Riyad Saudi Equity Fund and Saudi Fransi Saudi Istithmar Equity Fund, to find out the reasons for their superiority during the crisis period, and the relapse they experienced after the end of the crisis at a time when the rest of the mutual funds in the sample recovered.Originality/Value – The study is valuable to investors as it increases their knowledge about Saudi Arabia funds, which are attractive source of investing, since they still can offer a good return and perform better than the market, especially during crisis.
The Impact of Facilitating Conditions on Innovation Readiness in the Dubai Public Sector
Authors: Alshaer Mayid , Almarri Khalid 
Published: March 2024

AbstractPurpose- The purpose of this paper is to analyze the level of innovation readiness in Dubai’s public sector by taking a critical look at the current facilitating conditions, analyzing the gaps that arise with the lack of various innovations in place, and offering recommendations to remedy the problem.Methodology- This study uses a cross-sectional study design by using information from peer-reviewed journal articles. The search process for the articles involved the use of relevant terms such as “innovation readiness,” “facilitating conditions,” as well as “Dubai Public Sector.” The search narrowed down 15 peer-reviewed journal articles that were now used for the study.Findings- This study identified research gaps from the literature review and highlighted how the literature could be broadened and possible research questions that can be identified from the literature.Implications- The intention to use innovation readiness is positively impacted by facilitating situations, but the effect is marginal after the initial usage. As a result, the Model suggests that conducive environments have an immediate, considerable impact on user behavior.Originality/ value- The Unified Theory of Acceptance and Use of Technology discussed in this essay gives insights into the various forms of technology by comparing prominent technology acceptance theories.
The Challenges of Implementing the Emirates Standardized Test as a Proficiency Test in the UAE: An Exploratory Study
Authors: Khalil Abdelhamid A. 
Published: March 2024

AbstractThis study investigated teachers’ and educational leaders’ perspectives regarding the challenges that EFL twelfth graders encounter in relation to the Emirates Standardized Test (EmSAT). The study context was a private school in the UAE that follows the Ministry of Education curriculum. The present qualitative study adopted the phenomenological interpretive research approach. Data were collected using semi-structured interviews with four English teachers and four educational leaders. Data were also analysed using thematic analysis that led to the creation of relevant themes. The findings revealed a number of challenges related to the EmSAT exam and recommendations to overcome these barriers. These included issues related to time constraints, anxiety, stress, lack of teaching resources, and learners’ low e-maturity level. The study had some implications for teachers, educational leaders, school administrations and policymakers.
Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks
Authors: Bramareswara Rao S. N. V. , Kumar Y. V. Pavan , Amir Mohammad , Muyeen S. M. 
Published: March 2024

AbstractMicrogrid control and operation depend on fault detection and classification because it allows quick fault separation and recovery. Due to their reliance on sizable fault currents, classic fault detection techniques are no longer suitable for microgrids that employ inverter-interfaced distributed generation. Nowadays, deep learning algorithms are essential for ensuring the reliable, safe, and efficient operation of these complex energy systems. They enable quick responses to faults, reduce downtime, enhance energy efficiency, and contribute to the overall sustainability and resilience of microgrids. With this intent, this work proposes a “Discrete Wavelet Transform with Deep Neural Network (DWT-DNN)” for detecting and classifying the various faults that occurred in hybrid energy-based multi-area grid-connected microgrid clusters. The proposed DWT-DNN first extracts the input features from the point of common coupling of the cluster system using DWT, and then, these decomposed features are applied as input variables to train the DNN for the detection and classification of various faults. All the investigations are performed in the “MATLAB/Simulink 2022a” environment. To validate the effectiveness of the proposed DWT-DNN, the results are compared with wavelet packet transforms (WPT) in terms of accuracy in detecting and classifying the faults. From the simulation findings and observations, it is evident that the proposed DNN produced fruitful results.
Towards a reference material for microplastics’ number concentration—case study of PET in water using Raman microspectroscopy
Authors: Jacob Oliver , Stefaniak Elżbieta Anna , Seghers John , La Spina Rita , Schirinzi Gabriella F. , Chatzipanagis Konstantinos , Held Andrea , Emteborg Håkan , Koeber Robert , Elsner Martin , Ivleva Natalia P. 
Published: March 2024

AbstractIncreasing demand for size-resolved identification and quantification of microplastic particles in drinking water and environmental samples requires the adequate validation of methods and techniques that can be used for this purpose. In turn, the feasibility of such validation depends on the existence of suitable certified reference materials (CRM). A new candidate reference material (RM), consisting of polyethylene terephthalate (PET) particles and a water matrix, has been developed. Here, we examine its suitability with respect to a homogeneous and stable microplastic particle number concentration across its individual units. A measurement series employing tailor-made software for automated counting and analysis of particles (TUM-ParticleTyper 2) coupled with Raman microspectroscopy showed evidence of the candidate RM homogeneity with a relative standard deviation of 12% of PET particle counts involving particle sizes >30 µm. Both the total particle count and the respective sums within distinct size classes were comparable in all selected candidate RM units. We demonstrate the feasibility of production of a reference material that is sufficiently homogeneous and stable with respect to the particle number concentration.
Graphical Abstract