bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characteristics of rice husk biochar briquettes with municipal solid waste cassava, sweet potato and matooke peelings as binders
Authors: Lubwama Michael , Birungi Agatha , Nuwamanya Andrew , Yiga Vianney Andrew 
Published: May 2024

AbstractRice husks are not readily biodegradable making their disposal challenging due to the common disposal method of open burning which has negative environmental effects. Additionally, banana, sweet potato and cassava peelings form a large percentage of organic municipal solid waste. Therefore, this study developed rice husk biochar briquettes with organic municipal peelings waste as binders. Rice husks biochar was formed via carbonization processes in a step-down kiln at temperatures ranging between 400 and 500 °C. Organic binders were mixed with the rice husk biochar at different ratios of 10% and 15% before being compacted at a pressure ≤ 7 MPa into briquettes. Thermogravimetric results showed that the developed briquettes had high ash contents ranging from 44% to 47%. Rice husk biochar briquettes with the highest particle density were observed for briquettes with 15% cassava peel binder at 427.1 kg/m3. The highest HHV and maximum attainable flame temperature of 21.75 MJ/kg and 828.7 °C were obtained for rice husk biochar briquettes with 15% matooke peeling organic binder. For all rice husk biochar briquettes, increasing the organic peeling binder had a positive impact of reducing the ash content, while at the same time increasing the peak temperatures, thus contributing to their enhanced thermal stability.
Feasibility and Effects of Using Physical Activity Trackers With People Who Use Substances: A Systematic Review
Authors: Cuesta-López Ignacio , Secades-Villa Roberto , González-Roz Alba 
Published: May 2024

Abstract
Purpose of Review
Commercially-available physical activity trackers (PAT) are promising tools for promoting physical activity (PA) in people with mental disorders. The present systematic review aims to examine the feasibility and acceptability of using PAT in people with substance use disorders (SUD), and how that can affect substance use, PA, and mental health.

Recent Findings
Previous review studies have noted the potential of using active and passive data collection methods in the context of SUDs. However, since then, novel technology has been developed and new studies on PAT have been published. There are no specific reviews about them in the context of treatment of SUD.

Summary
The current study included seven studies involving 178 participants. The findings provide preliminary evidence that using PAT as part of a broader behavioral intervention is feasible and promising in promoting healthy behavior and improving health-related outcomes, including reduction in substance use. However, considering the small number of studies and their limitations, there is a need for more systematic and rigorous research to determine the long-term effectiveness of incorporating PAT into existing treatments for SUD.
Evaluation of LLM Tools for Feedback Generation in a Course on Concurrent Programming
Authors: Estévez-Ayres Iria , Callejo Patricia , Hombrados-Herrera Miguel Ángel , Alario-Hoyos Carlos , Delgado Kloos Carlos 
Published: May 2024

AbstractThe emergence of Large Language Models (LLMs) has marked a significant change in education. The appearance of these LLMs and their associated chatbots has yielded several advantages for both students and educators, including their use as teaching assistants for content creation or summarisation. This paper aims to evaluate the capacity of LLMs chatbots to provide feedback on student exercises in a university programming course. The complexity of the programming topic in this study (concurrency) makes the need for feedback to students even more important. The authors conducted an assessment of exercises submitted by students. Then, ChatGPT (from OpenAI) and Bard (from Google) were employed to evaluate each exercise, looking for typical concurrency errors, such as starvation, deadlocks, or race conditions. Compared to the ground-truth evaluations performed by expert teachers, it is possible to conclude that none of these two tools can accurately assess the exercises despite the generally positive reception of LLMs within the educational sector. All attempts result in an accuracy rate of 50%, meaning that both tools have limitations in their ability to evaluate these particular exercises effectively, specifically finding typical concurrency errors.
Joint dual-teacher distillation and unsupervised fusion for unpaired real-world image dehazing
Authors: Qiao Yingxu , Zhan Xiyan , Luo Fen , Huo Zhanqiang 
Published: May 2024

AbstractExisting learning-based dehazing algorithms struggle to deal with real world hazy images for lack of paired clean data. Moreover, most dehazing methods require significant computation and memory. To address the above problems, we propose a joint dual-teacher knowledge distillation and unsupervised fusion framework for single image dehazing in this paper. First, considering the complex degradation factors in real-world hazy images, two synthetic-to-real dehazing networks are explored to generate two preliminary dehazing results with the heterogeneous distillation strategy. Second, to get more qualified ground truth, an unsupervised adversarial fusion network is proposed to refine the preliminary outputs of teachers with unpaired clean images. In particular, the unpaired clean images are enhanced to deal with the dim artifacts. Furthermore, to alleviate the structure distortion in the unsupervised adversarial training, we constructed an intermediate image to constrain the output of the fusion network. Finally, considering the memory storage and computation overhead, an end-to-end lightweight student network is trained to learn the mapping from the original hazy image to the output of the fusion network. Experimental results demonstrate that the proposed method achieves state-of-the-art performance on real-world hazy images in terms of no-reference image quality assessment and the parameters.
Precursors to rock failure in the laboratory using ultrasonic monitoring methods
Authors: Veltmeijer Aukje , Naderloo Milad , Barnhoorn Auke 
Published: May 2024

AbstractForecasting the occurrence of natural hazards, such as earthquakes or landslides, remain very challenging. These hazards are often caused by stress changes in the subsurface, therefore detecting and monitoring these changes can help the prediction and mitigation. Active ultrasonic transmission experiments were performed on Red Pfaelzer sandstones to investigate the monitoring and forecasting potential of these measurements. The sandstone samples were loaded until failure at different initial confining stress conditions. The forecasting potential to failure of different analysis methods, such as coda wave interferometry or wave attenuation, is investigated and compared. Our results show we can detect the forecast the upcoming failure of the samples from 40 to 70% of its failure point. Small differences between each analysis method are visible, but the trend of the signal is leading and therefore a robust prediction of failure can be made by combining analysis methods. In this paper, we propose a traffic light forecasting system using the precursory signals from ultrasonic monitoring. This system is applicable for monitoring failure at various depths and or stress conditions, for a better prediction of small stress-induced changes in the subsurface and thus mitigation of failure (natural hazards) in the subsurface.
Urban regeneration VS residential property characteristics: which is the most influential on property values?
Authors: Agapi Xifilidou , Nikolaos Karanikolas , Spyridon Spatalas , Vassilis Tsioukas 
Published: May 2024

AbstractUrban regenerations have always been a tool towards the improvement of the urban environment through environmental integration and thereafter the quality of life of citizens. However, all regenerations do not have the same success and impact on the surrounding properties. In this paper, two major urban regenerations of Thessaloniki, the second largest city of Greece, are studied through the scope of their effect on property values in combination with the analysis of the effect of traditional property characteristics on values. This study was necessary to fill the gap of determining that sustainable urban planning and environmental integration are nowadays proven more important than property characteristics, when population gathering in urban areas is at its highest point. The current study applied geographically weighted regression, spatial autocorrelation and hot-spot analysis through the environment of ArcGIS to determine which are the factors that citizens seek in their residential area and if these factors are more important than their property characteristics. The findings of the study indicate that citizens always seek for additional urban green and urban quality even in areas where the urban environment is already at a very good level. The difference appears in the fact that in areas where urban green or open spaces are upsent, the weight leans on the characteristics of the wider area and its citizens (socio-economic characteristics, habits etc.) rather than on the property characteristics, when determining property values. On the other hand, citizens living in areas with urban green and open spaces, move a step forward and seek for larger and more friendly green or regenerated areas as a counterpoint for already increased property values. In general, the result of this research underlines that a targeted urban planning for each sub-area is one of the keys toward property values stabilization against economic variations and towards the improvement of the quality of citizens’ lives through environmental integration. Therefore, decision makers and urban designers should take into account all different needs of the citizens in each area setting the goal of maximum possible urban sustainability and resilience and the minimum environmental degradation.
Cannabinoid Modulation of Monoamine Levels in Mouse Brain: Unveiling Neurochemical Dynamics through an Innovative High-performance Liquid Chromatography-Fluorescence Detection Bioanalysis
Authors: Carla Fonseca , Susana Cunha , Ricardo Ferreira , Mariana Lapo Pais , Joana Gonçalves , Antoni Camins , Miren Ettcheto , Rui Barbosa , Ana Fortuna 
Published: May 2024

AbstractHomeostasis of monoaminergic pathways is compromised in aging and neurodegenerative/neurological diseases such as Alzheimer’s disease and depression. On the other hand, their modulation has also been linked to the mechanism of action of several drugs. Therefore, monitoring the levels of noradrenaline (NA), adrenaline (AD), dopamine (DA), and serotonin (5-HT), as well as those of tryptophan (TRYP), the precursor of 5-HT, and DA metabolites, namely 3,4-dihydroxyphenylacetic acid (DOPAC) and homovanillic acid (HVA), is fundamental for assessing disease severity and progression. This work aimed to develop and validate the first High-Performance Liquid Chromatography (HPLC) coupled with fluorescence detector (FLD) method that simultaneously and accurately quantifies NA, AD, DA, DOPAC, HVA, 5-HT and TRYP in mouse brain and prefrontal cortex (PFC) matrices. Previous sample preparation by protein precipitation was required to extract the compounds. Calibration curves were plotted using the background subtraction approach to reduce the interference of the endogenous analytes. Intra and inter-day accuracy and precision were within the ranges defined by ICH (The International Council for Harmonisation) guideline for bioanalytical method validation. Following validation, the impact of cannabidiol (CBD), cannabigerol (CBG), and cannabidivarin (CBDV) was explored in mice brains post-administration, revealing significant alterations in specific neurotransmitter levels upon cannabinoid exposure and shedding light on the complex modulation of neurochemical dynamics by cannabinoids. This research highlights the fit-for-purpose of the HPLC-FLD method and provides insights into potential mechanisms underlying phytocannabinoid actions in the central nervous system (CNS).
Fluorescence-Based Calibration Model for In-Situ Measurement of Micro-scaled Lubricant Thickness Distribution at Indentation Interface
Authors: Yoshikawa Motoya , Fujii Saeko , Kadoya Shotaro , Sugihara Tatsuya , Michihata Masaki , Takahashi Satoru 
Published: May 2024

AbstractThis study proposes a model for the measurement of microscale liquid film thickness distribution using fluorescence signals. The interfacial conditions between the tool and the workpiece in mechanical machining are important for understanding these phenomena and mechanisms. In this study, indentation tests with transparent tools were used to observe interfaces; however, it was challenging to obtain the signal from a thin fluorescent liquid film on smooth and steeply inclined surfaces. Therefore, fluorescence-based measurement, such as laser-induced fluorescence, was employed. To measure the absolute thickness of the thin fluorescent film, calibration of the measurement system is necessary. Therefore, a theoretical model was proposed considering the multiple reflections of excitation light and fluorescence at the inclined surface between the indenter and workpiece. By measuring the profile of the surface topography of the indented workpiece and comparing the results with those measured by a surface profiler, the validity of the proposed calibration method and the performance of this measurement system were demonstrated. The measured surface profiles, including scratches of 2–4 µm, were in good agreement, demonstrating the validity of the proposed method.
Postdigital Storytelling: Storytelling (Within or Across) the Digital and Transmedia Field
Authors: Meyerhofer-Parra Rafel , González-Martínez Juan , Peracaula-Bosch Marta 
Published: May 2024

AbstractThe term postdigital implies a rupture and continuity of the digital paradigm, which allows us to analyse the challenges implied by a largely digitalised society. At the same time, the term transmedia goes completely unnoticed in the postdigital literature, despite sharing key elements in its reflection on the digital paradigm. For this reason, this article reflects on the points of contact between transmedia and postdigital storytelling, as well as the differences identified between postdigital storytelling and its precedents: digital storytelling and transmedia storytelling. It is discussed that postdigital storytelling becomes an evolution of digital storytelling in congruence with the challenges posed by the postdigital paradigm and, simultaneously, that transmedia storytelling can adopt a postdigital perspective under which to balance the media it uses, while maintaining its essence of narrative expansion, which is a dispensable condition in digital and postdigital storytelling. Finally, an analogous reflection to the digital term emerges that more and more the transmedia nature is intertwined and diluted in the context that surrounds us to the point that it ceases to make sense.
Unlocking Team Dynamics: Exploring the Influence of Group Regulation on Technical Development in Small-Sided Soccer Games
Authors: Sahli Faten , Boujabli Manar , Sahli Hajer , Jebabli Nidhal , Ghouili Hatem , Trabelsi Khaled , Bouzouraa Mohamed Mansour , Guelmami Noomen , Ben Aissa Mohamed , Ammar Achraf , Dergaa Ismail , Zghibi Makram 
Published: May 2024

AbstractPurposeDiscussions held by players during the halftime of a soccer match are widely recognized as influential factors in boosting their involvement and physical activity of soccer players. This study aimed to investigate the impact of learning small-sided games (SSG) through player discussions on decision-making, as well as the technical and tactical skills of young soccer players.MethodsForty-two U-15 male amateur soccer players were randomly assigned to 6 groups and participated in a study comprising 4 sessions of small-sided games (SSG). Each session consisted of two sets of 15 min each. The SSG sessions were conducted with and without the inclusion of self-regulation of learning. Technical actions (i.e., balls won, balls received, balls lost, shots, and goals) were measured during each set of sessions using a digital camera recorder.ResultsThe results showed no significant differences in the main effects of the time, group, session, and group × session × time interactions for most technical actions. However, there was a significant main effect of group observed for shoot action (P = 0.021;ηp2 = 0.102), with a higher number of shoot actions in the co-regulation of learning group than in the self-regulation of learning group.ConclusionThe self-regulation approach employed by players alone did not lead to significant improvements in technical performance during SSG. Further research is needed to explore additional factors and/or interventions that could potentially enhance the effectiveness of learning through discussions in SSG.
A Semi-Automated Solution Approach Recommender for a Given Use Case: a Case Study for AI/ML in Oncology via Scopus and OpenAI
Authors: Kılıç Deniz Kenan , Vasegaard Alex Elkjær , Desoeuvres Aurélien , Nielsen Peter 
Published: May 2024

Abstract Nowadays, literature review is a necessary task when trying to solve a given problem. However, an exhaustive literature review is very time-consuming in today’s vast literature landscape. It can take weeks, even if looking only for abstracts or surveys. Moreover, choosing a method among others, and targeting searches within relevant problem and solution domains, are not easy tasks. These are especially true for young researchers or engineers starting to work in their field. Even if surveys that provide methods used to solve a specific problem already exist, an automatic way to do it for any use case is missing, especially for those who don’t know the existing literature. Our proposed tool, SARBOLD-LLM, allows discovering and choosing among methods related to a given problem, providing additional information about their uses in the literature to derive decision-making insights, in only a few hours. The SARBOLD-LLM comprises three modules: (1: Scopus search) paper selection using a keyword selection scheme to query Scopus API; (2: Scoring and method extraction) relevancy and popularity scores calculation and solution method extraction in papers utilizing OpenAI API (GPT 3.5); (3: Analyzes) sensitivity analysis and post-analyzes which reveals trends, relevant papers and methods. Comparing the SARBOLD-LLM to manual ground truth using precision, recall, and F1-score metrics, the performance results of AI in the oncology case study are 0.68, 0.9, and 0.77, respectively. SARBOLD-LLM demonstrates successful outcomes across various domains, showcasing its robustness and effectiveness. The SARBOLD-LLM addresses engineers more than researchers, as it proposes methods and trends without adding pros and cons. It is a useful tool to select which methods to investigate first and comes as a complement to surveys. This can limit the global search and accumulation of knowledge for the end user. However, it can be used as a director or recommender for future implementation to solve a problem.
The role of mating effort and co-residence history in step-grandparental investment
Authors: Pettay Jenni E. , Coall David A. , Danielsbacka Mirkka , Tanskanen Antti O. 
Published: May 2024

Abstract
The prevalence of divorce in both parental and grandparental generations has led to a rise in the number of children who now have families that include both biological and step-grandparents. Despite the thorough examination of biological grandparents’ contributions in the recent literature, there remains a scarcity of studies focusing on the investment of step-grandparents. Using population-based data from a sample of 2494 parents in Germany, we assessed grandparental investment through financial support and assistance with childcare of grandparents (N = 4238) and step-grandparents (N = 486). The study revealed that step-grandparents provided lower levels of investment in their grandchildren compared with biological grandparents. Furthermore, the study identified that a longer duration of co-residence between step-grandparents and parents earlier in life did not correspond to an increase or decrease in step-grandparental investment. However, investment by separated biological grandparents increased with the increasing length of co-residence with parents. In line with the scarce literature on step-grandparental investment, these findings indicate that mating effort may be the most important motivation for step-grandparental investment.
Wage-productivity gap and discrimination against Syrian refugees: Evidence from Turkey
Authors: Elgin Ceyhun , Elveren Adem Yavuz 
Published: May 2024

AbstractIn this paper, we introduce a unique dataset derived from a survey conducted among 450 Syrian refugee workers and the owners/managers of the firms in which they are employed in Istanbul, Turkey. We utilise this data to investigate the connection between the wage-productivity gap and perceived economic and social discrimination. The findings of the study indicate that individuals facing a wider wage-productivity gap tend to report higher levels of economic and social discrimination. These results remain consistent even after incorporating various variables at both the worker and firm levels into the analysis. These findings imply potential policy recommendations that policymakers should take into account.
Frustration and fidelity: how public interest lawyers navigate procedure in the direct representation of asylum seekers
Authors: Crooke Catherine L. 
Published: May 2024

AbstractPublic interest lawyers seek to empower clients through collaborative approaches to direct representation that redistribute legal knowledge and affirm clients’ agency; however, the legal settings in which attorneys operate shape their capacity to subvert dynamics they consider oppressive. Based on twenty months of ethnographic fieldwork at a legal nonprofit serving asylum seekers in Los Angeles, this study explores how the broader environment of a restrictive immigration system transforms the aspirations, possibilities, and strategies of public interest lawyering. Drawing from sociolegal literature on cause lawyers, access to justice, and the U.S. immigration system, the article argues that the politicization of the U.S. immigration bureaucracy destabilizes foundational legal norms, hindering the agenda of public interest attorneys. Procedural formalism constitutes one of the only resources at attorneys’ disposal, yet here it often impedes lawyers’ ability to disrupt perceived power hierarchies. Specifically, the prevalence of complex legal procedures that obstruct access to asylum reconfigures opportunities to uplift clients. These findings illuminate how hostile legal settings strain lawyers. They also contribute to timely debates around how attorneys protect access to justice and advance meaningful social transformation.
Effect of team diversity on teams’ design space: a computational approach
Authors: Škec Marija Majda , Štorga Mario , Gero John S. 
Published: May 2024

AbstractUnderstanding team diversity has become essential for modern-day organisations. This study explores the impact of knowledge diversity in design teams through computational simulations. By analysing design space characteristics, we study how diverse teams perform compared to less diverse counterparts. Results reveal that highly diverse teams exhibit increased efficiency, quicker convergence, and larger but sparser design spaces. This work contributes to understanding the impact of knowledge diversity in design teams and sets the stage for future systematic studies of diversity.