bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study path analyses for quality assurance and support of study planning
Authors: Roepke Rene , Judel Sven , Schroeder Ulrik 
Published: September 2024

Abstract
Utilizing student lifecycle data provided by campus management systems yields the opportunity to conduct study path analyses. Methods of artificial intelligence (AI) and data science can be used to analyze study paths, identify indicators for success, and gain insights into problems and issues of student cohorts following different study paths. Meanwhile, AI can also be used to support students through informed study planning. This article presents the project AIStudyBuddy with its focus on utilizing rule-based AI and process mining to support study planning and cohort monitoring. The concept of a reference architecture and data model for study path analytics as well as details on the development of the two user applications, StudyBuddy for students and BuddyAnalytics for study program designers, are presented. By exploring how AI and process mining can be applied in the scope of the two applications, the article addresses the question of how AI can be used for quality assurance in study planning and student cohort monitoring.
The influence of El Niño on springtime synoptic-scale precipitation extremes in Southeastern China: insights from CMIP6 model simulations
Authors: Cao Dingrui , Tam Chi-Yung , Xu Kang 
Published: September 2024

AbstractThis study focuses on El Niño impacts on springtime extreme precipitation in Southeastern China (SEC) by comparing observations with data from the Coupled Model Intercomparison Project phase 6 (CMIP6) historical runs. Observational and simulated results suggest that synoptic-scale temperature advection patterns over East Asia (EA) are closely associated with extreme precipitation in SEC, encompassing the Pearl River Basin (PRB), Yangtze River Basin (YRB), and Huaihe River Basin (HRB). Based on this, we introduce a temperature advection index (TAI) tailored to capture the cold-warm temperature advection dipole, which shows a significant positive correlation with SEC precipitation. Both observations and CMIP6 indicate that TAI-related circulations, characterized by upper-level synoptic-scale waves and a north–south oriented temperature gradient over EA, are conducive to extreme precipitation in northern PRB (NPRB)–YRB–HRB. However, the TAI-related synoptic-scale activities have a lesser impact on extreme precipitation in southern PRB (SPRB), as these disturbances mainly affect the mid-latitude weather. Further investigation reveals that during boreal spring following El Niño, 85% of extreme events in YRB–HRB are associated with positive TAI values, compared to 76% under climatological conditions. However, such a change in the association with TAI is not evident in CMIP6 simulations. From observations, atmospheric baroclinicity along the East Asian westerly jet is enhanced during El Niño, which promotes the development of TAI-related synoptic-scale disturbances. In contrast, CMIP6 models struggle to reproduce these observed baroclinicity signals during El Niño. This challenge arises from the background westerly jet bias and mean-state cold tongue bias in tropical Pacific temperature in models.
The introduction of a mid-urethral stent for hypospadias surgery in toilet-trained children
Authors: Seguier-Lipszyc Emmanuelle , Shumaker Andrew , Stav Kobi , Itshak Anna , Neheman Amos 
Published: September 2024

Abstract
Purpose
To address the unique challenges presented by hypospadias repair in toilet-trained boys, we propose a modification to the standard stenting technique: implementation of a mid-urethral stent (MUS) extending beyond the urethroplasty, terminating distally to the sphincter mechanism. This modification upholds continence while facilitating normal voiding.

Methods
Toilet-trained boys undergoing hypospadias repair from 2009 to 2020 were retrospectively assessed. Patients were allocated into one of two groups: “Continent” drainage (a short stent was placed across the urethroplasty) or “incontinent” drainage (a standard stent or a Foley catheter was placed). Stent- related complications (dislodgement and obstruction) and surgical outcomes were compared.

Results
545 children underwent hypospadias repair with 96 (17.6%) of them toilet-trained. The “continent” and “incontinent” groups consisted of 44 and 52 patients. No differences were found regarding age, severity of hypospadias, number of corrective procedures, operative time or surgical technique. Rates of stent-related complications did not differ. No significant difference was found regarding complications requiring additional surgery, including meatal stenosis and dehiscence. Post-operative fistula occurred in one patient in the continent group and in seven patients in the incontinent group.

Conclusion
Use of a continence-preserving MUS is a safe alternative in toilet-trained patients undergoing hypospadias repair without increasing risk of complications.
Probabilistic, scenario-based hazard assessment for pyroclastic density currents at Tungurahua volcano, Ecuador
Authors: Aravena A. , Tadini A. , Bevilacqua A. , Samaniego P. , Bernard B. , Hidalgo S. , Le Pennec J.-L. , Martínez-Yáñez P. , García J. , Roche O. 
Published: September 2024

AbstractWe assess the volcanic hazard posed by pyroclastic density currents (PDCs) at Tungurahua volcano, Ecuador, using a probabilistic approach based on the analysis of calibrated numerical simulations. We address the expected variability of explosive eruptions at Tungurahua volcano by adopting a scenario-based strategy, where we consider three cases: violent Strombolian to Vulcanian eruption (VEI 2), sub-Plinian eruption (VEI 3), and sub-Plinian to Plinian eruption (VEI 4–5). PDCs are modeled using the branching energy cone model and the branching box model, considering reproducible calibration procedures based on the geological record of Tungurahua volcano. The use of different calibration procedures and reference PDC deposits allows us to define uncertainty ranges for the inundation probability of each scenario. Numerical results indicate that PDCs at Tungurahua volcano propagate preferentially toward W and NW, where a series of catchment ravines can be recognized. Two additional valleys of channelization are observed in the N and NE flanks of the volcano, which may affect the city of Baños. The mean inundation probability calculated for Baños is small (6 ± 3%) for PDCs similar to those emplaced during recent VEI 2 eruptions (July 2006, February 2008, May 2010, July 2013, February 2014, and February 2016), and on the order of 13 ± 4% for a PDC similar to that produced during the sub-Plinian phase of the August 2006 eruption (VEI 3). The highest intensity scenario (VEI 4–5), for which we present and implement a novel calibration procedure based on a few control points, produces inundation areas that nearly always include inhabited centers such as Baños, Puela, and Cotaló, among others. This calibration method is well suited for eruptive scenarios that lack detailed field information, and could be replicated for poorly known active volcanoes around the world.
Amina: an Arabic multi-purpose integral news articles dataset
Authors: Zaytoon Mohamed , Bashar Muhannad , Khamis Mohamed A. , Gomaa Walid 
Published: September 2024

AbstractElectronic newspapers are one of the most common sources of Modern Standard Arabic. Existing datasets of Arabic news articles typically provide a title, body, and single label. Ignoring important features, like the article author, image, tags, and publication date, can degrade the efficacy of classification models. In this paper, we propose the Arabic multi-purpose integral news articles (AMINA) dataset. AMINA is a large-scale Arabic news corpus with over 1,850,000 articles collected from 9 Arabic newspapers from different countries. It includes all the article features: title, tags, publication date and time, location, author, article image and its caption, and the number of visits. To test the efficacy of the proposed dataset, three tasks were developed and validated: article textual content (classification and generation) and article image classification. For content classification, we experimented the performance of several state-of-the-art Arabic NLP models including AraBERT and CAMeL-BERT, etc. For content generation, the reformer architecture is adopted as a character text generation model. For image classification applied on Al-Sharq and Youm7 news portals, we have compared the performance of 10 pre-trained models including ConvNeXt, MaxViT, ResNet18, etc. The overall study verifies the significance and contribution of our newly introduced Arabic articles dataset. The AMINA dataset has been released athttps://huggingface.co/datasets/MohamedZayton/AMINA.
Catalyzing green transformation: mitigating oil price impact on CO2 emissions in Saudi Arabia via renewable energy transition
Authors: Mukhtarov Shahriyar , Azizov Mayis , Kartal Mustafa Tevfik , Eynalov Hazi 
Published: September 2024

AbstractExploring the relationship between international oil prices, income, and carbon dioxide (CO2) emissions in Saudi Arabia, this study examines if renewable energy consumption plays a lowering tool in international oil prices' impact on CO2 emissions, employing conventional econometric methods and the functional coefficient approach. The study reveals that the interaction between renewable energy consumption and international oil prices has a negative and statistically significant impact on CO2 emissions. This emphasizes the potential for Saudi Arabia to reduce carbon emissions by prioritizing renewable energy projects. In addition, a positive and statistically significant relationship between income and CO2 emissions is found, emphasizing the need to decouple economic growth from emissions growth. Furthermore, an interesting decoupling effect between oil price elasticity of CO2 emissions and per capita GDP is noted from the early 2000s–2015. This indicates that economic growth driven by rising oil prices can be managed to mitigate environmental impact, showcasing Saudi Arabia's commitment to sustainable development. Policy recommendations involve intensifying efforts to promote renewable energy implementation, lowering fossil fuel dependence in power generation, and incentivizing emissions reduction for a more sustainable energy future.
Field investigation of the feasibility of MICP for Mitigating Natural Rainfall-Induced erosion in gravelly clay slope
Authors: Zhang Zhichao , Lu Huaming , Tang Xuefeng , Liu Kan , Ye Longzhen , Ma Guoliang 
Published: September 2024

AbstractRainfall-induced erosion on slopes is a prevalent natural process leading to soil loss. One promising application of microbially induced carbonate precipitation (MICP) is to mitigate rainfall-induced erosion. Conducting field tests is an essential step to verify and improve its performance. In the current work, field tests were conducted to assess the feasibility of using MICP to mitigate rainfall-induced erosion on a gravelly clay slope in Longyan, Fujian, China. A temporary laboratory was set up to cultivate bacteria, and a non-sterilizing method was employed to prepare large volumes of bacterial suspensions in a single batch. Slopes were treated by spraying solutions onto their surfaces. The amount of discharged soils and 3D surface scanning results were used for evaluating the erosion intensity of the slopes. The results demonstrated that the method could effectively mitigate the surface erosion caused by natural rainfall and prevent erosion-induced collapse. Notably, approximately one year after the treatment, the grass had started to grow on the heavily cemented slope, indicating that the MICP method is both effective and eco-friendly for soil stabilization method. However, further improvements are needed to enhance the uniformity and long-term durability of the MICP treatment.
Entangled Mathematics as a Tool of Reasoning in the Mid-Twentieth-Century UK Electricity Industry
Authors: Naylor Robert Luke 
Published: September 2024

AbstractIn the mid-twentieth century, the identity of those who oversaw the UK electricity grid tentatively and slowly began to shift from those who joined the electricity industry directly from secondary school to a university-educated elite with a higher level of technical education. At the same time, electricity infrastructure became increasingly centralised, leading to the creation of a national grid in 1938, meaning that control of electricity became concentrated in the hands of an ever-smaller group and increasing the stakes in debates over strategy. By using the case studies of power engineer Paul Schiller and mathematician Maurice Davies, this paper traces how the boundaries of what mathematics could or could not be used for were renegotiated between factions within the UK electricity industry. Schiller unsuccessfully attempted to use mathematics, including the authority of academic mathematicians, to reinforce controversial arguments about the strategic direction of the industry in the 1940s. Such arguments failed to resonate with a class of, as Schiller put it, “practical men” that still held considerable influence. Davies on the other hand was employed by the industry in the 1950s to improve efficiency, and was able to implement lasting measures in this effort by using the weather to forecast electricity demand, and successfully defended the usefulness of his work in the 1970s against colleagues who felt that forecasting could be done better with mathematical models without weather inputs. The contrast between these two stories shows how the influence of mathematical thinking was contingent upon existing power dynamics, and reinforce how the history of mathematics should be socially embedded.
Reproductive dysfunction in seawater provides an environmental barrier to the range expansion of the invasive Neogobius melanostomus into the North Sea
Authors: Green Leon , Griful-Dones Martina , Kvarnemo Charlotta 
Published: September 2024

AbstractSalinity can shape species’ distributions via physiological costs. Understanding how and when these costs occur can help predict colonisation patterns, for example during species invasions. To understand the impacts of high salinity environments on the ongoing expansion of the invasive round goby (Neogobius melanostomus) towards the North Sea, fish from this invasion front were spawned in a common-garden setup at different salinities. Reproductive adults were acclimated to a control (20 PSU) salinity representing the current invasion front conditions, and a North Sea coastal salinity (30 PSU). In these salinities they were sorted into spawning groups, and spawning attempts and egg development was tracked during 1.5 months. The results showed a strong impact of the 30 PSU salinity treatment, with a complete developmental failure of all clutches spawned in this salinity. The failed clutches resulted in a significant increase of egg consumption by the nest-guarding males. In addition, sperm velocity showed a decrease with increasing salinity when tested in both spawning salinities and at an intermediate level. Few differences in adult physiology were found as a consequence of the salinity treatments. These results show that, despite adult acclimation to North Sea coastal conditions, the gametes of N. melanostomus cannot as of now cope with the salinities into which their spread is currently predicted. Though adaptation or transgenerational acclimation might allow for reproduction in salinities higher than the species currently occupy, we suggest current models to incorporate a reproductive limit for N. melanostomus at a salinity of 30 PSU.
Intervention for School Anxiety and Absenteeism in Children (ISAAC): Mixed-Method Feasibility Study of a Coach-Assisted, Parent-Focused Online Program
Authors: Lester Kathryn J. , McDonald Brontë , Tunks Alice , Michelson Daniel 
Published: September 2024

AbstractThe aftermath of the Covid-19 pandemic has seen an increase in persistent school absenteeism and Emotionally-Based School Avoidance (EBSA). However, suitable evidence-based psychological interventions are often unavailable. We aimed to assess the feasibility and acceptability of a new parent-focused online program, Intervention for School Anxiety and Absenteeism in Children (ISAAC), which has been co-designed with parents and practitioners. This exploratory mixed-method study recruited participants from three schools in southern England, enrolling N = 9 parents for whom a child, aged 5–11 years, was experiencing signs of EBSA. The intervention consisted of three web-based psychoeducational modules respectively addressing parental stress, accommodating parenting behaviors, and communication with school staff. Module completion was assisted by weekly calls with a non-specialist “coach.” Feasibility was measured using indicators of retention, module participation, overall program completion and coaching fidelity. Acceptability was assessed using semi-structured interviews, module ratings and written qualitative feedback. We also explored baseline-post change in parent-reported measures of children’s school avoidance, absences, anxiety, parental stress, accommodating parenting behaviors, and quality of parent-school communication. Overall, the intervention was feasible to deliver to parents with six (67%) participants completing the full intervention. Participants found the intervention acceptable across thematic domains of affective attitude, burden, coherence, self-efficacy and perceived effectiveness. Participants particularly appreciated the coach’s support. We observed small to moderate reductions in school avoidance behaviours (d with Hedges correction = 0.36), child anxiety (d with Hedges correction = 0.33) and accommodating behaviours (d with Hedges correction = 0.44) at the post timepoint compared to baseline. In conclusion, ISAAC shows early promise with the potential to deliver scalable online support for families affected by emerging EBSA. Future research should move toward establishing effectiveness in a randomized controlled trial.
Adapting engineering design thinking for sustainability
Authors: Date Geetanjali , Chandrasekharan Sanjay 
Published: September 2024

AbstractThe nature of engineering design thinking needs to change drastically to address the climate crisis, as the technologies and activities that damage the environment are generated by engineering design. Current engineering design practices, as well as engineering design education (EE) pedagogies, are driven by formal knowledge structures, such as mathematical models and optimization techniques, that are far removed from concerns about the environment. To adapt engineering design thinking for sustainability, a clear characterization of the thinking roles played by various design components, including the role of formal structures in sustainable engineering design, is needed. As a first step towards developing this characterization, we investigated the way sustainable micro-hydro power systems were designed by two grassroots technology designers. Our analysis indicated that artifact-based imagination (mental simulation of material structure and dynamics), including artifact-based reasoning (manipulation of imagined artifacts), and synthesis (of requirements and constraints) were key to integrating the eco-social context into the design. Formal structures played a supportive role to these core design thinking processes. To examine the validity of this analysis, we studied two engineering design cases from other areas, exploring whether the patterns we identified using the micro-hydro turbine cases extended to these cases. Results suggested that artifact-based imagination and reasoning and synthesis are common threads across different kinds of engineering design. Based on this finding, we suggest that the ongoing redesign of EE—to support ecological sustainability—needs to focus on artifact-based imagination and synthesis of eco-social factors, in addition to formal structures.
Pyroptosis and chemical classification of pyroptotic agents
Authors: Hara Mohammed A. , Ramadan Mohamed , Abdelhameid Mohammed K. , Taher Ehab S. , Mohamed Khaled O. 
Published: September 2024

AbstractPyroptosis, as a lytic-inflammatory type of programmed cell death, has garnered considerable attention due to its role in cancer chemotherapy and many inflammatory diseases. This review will discuss the biochemical classification of pyroptotic inducers according to their chemical structure, pyroptotic mechanism, and cancer type of these targets. A structure-activity relationship study on pyroptotic inducers is revealed based on the surveyed pyroptotic inducer chemotherapeutics. The shared features in the chemical structures of current pyroptotic inducer agents were displayed, including an essential cyclic head, a vital linker, and a hydrophilic tail that is significant for π-π interactions and hydrogen bonding. The presented structural features will open the way to design new hybridized classes or scaffolds as potent pyroptotic inducers in the future, which may represent a solution to the apoptotic-resistance dilemma along with synergistic chemotherapeutic advantage.
Graphical Abstract
Association between sociodemographic variables and delayed patient presentation among surgical neuro-oncology patients in Mexico City: a single institution experience
Authors: Punchak Maria A. , Alvarez-Castro Jose Alfonso , Escalante Jonathan Ramos , Hidalgo Keren Magaly Aguilar , Zamarripa Mauricio Macias , Navarrete Xymena Dominguez , Soto Fernando Castro , Castellanos Mackenzie , Moreno-Jiménez Sergio , Lawton Michael T. , Quinones-Hinojosa Alfredo , Mejía Pérez Sonia Iliana 
Published: September 2024

Abstract
Purpose
Mexico has the second highest incidence of central and peripheral nervous system cancer cases in Latin America, but clinical and research resources to improve oncologic care are biased towards high-income countries. We carried out a retrospective study to identify sociodemographic factors associated with more severe clinical presentation among surgical neuro-oncology who underwent surgery at a major public referral hospital in Mexico City.

Methods
The hospital electronic medical record was reviewed to identify all surgical neuro-oncology patients who underwent surgery between January 1 and December 31, 2022. Descriptive statistics were used to characterize the patient population and outcomes; statistical analysis was performed to determine association between sociodemographic variables and advanced clinical presentation.

Results
A total of 366 neuro-oncology patients underwent surgery during the study period. The median patient age was 48 (IQR 17–83). The majority of patients were female (60.1, n = 220), single (51.4%, n = 188), and 29.2% (n = 107) endorsed being the primary provider for their family. The median number of dependents per patient was 4 (IQR 2–50), while the median monthly income was 10269 Mexican pesos (MXN) (IQR 2000–13500] and the median travel distance to INNN was 49 km (IQR 22–174). On multivariate analyses, having a higher number of dependents was associated with increased odds of presenting with longer symptom duration (p = 0.01). Divorced/separated status was associated with increased odds of presenting with tumors > 35mL in volume (p = 0.04). Primary provider (p = 0.01) and higher average monthly income (p = 0.03) was associated with decreased odds of presenting with tumors > 35mL.

Conclusions
This is the first study to recognize that certain sociodemographic factors are associated with more severe clinical presentation among surgical neuro-oncology patients. Further studies are needed in order to decern specific causes for delayed presentation in this patient population in order to create targeted interventions and decrease delays in care.