bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining the role played by resources, goals and orientations in primary teachers’ decision- making for problem-solving lesson plans
Authors: Lupiáñez José Luis , Olivares Daniela , Segovia Isidoro 
Published: August 2024

AbstractThe decisions that teachers make in transforming the curriculum into specific lesson plans determine the real enactment or otherwise of curricular ideals. These decisions are shaped by the resources available and by each teacher’s goals and orientations. This exploratory study employs Schoenfeld’s decision-making model to examine how resources, goals and orientations influence lesson planning for mathematics problem solving, for different profiles of primary teachers in Chile. To this purpose, a survey was conducted among 40 teachers of varying degrees of ability and experience: some were beginning teachers, others were experienced but had no further training in teaching problem solving and a third group was composed of experienced teachers with specific training in this question. Interviews with two teachers from each profile revealed important differences between the three groups. Beginning teachers relied more heavily on official resources such as the official curriculum and standard textbooks, aligning themselves with school requirements. Experienced teachers with problem solving training demonstrated a strong inclination towards teaching through a problem solving approach. While beginning teachers acknowledged the importance of promoting problem solving strategies, they did not usually adapt problems to the mathematical content or to the age/competence of their students. Interestingly, all three groups under-utilised sections of curricular resources that emphasise the present curricular focus on problem solving. Finally, the study found that experience alone is not enough to develop a problem solving approach and that focused professional development programmes are needed to equip teachers with the necessary skills. In addition, a diagnostic teaching approach should be incorporated into initial teacher training.
Contributions to the characterization of the Schema using APOS theory: Graphing with derivative
Authors: Trigueros M. , Badillo E. , Sánchez-Matamoros G. , Hernández-Rebollar L. A. 
Published: August 2024

AbstractThis study contributes to Action, Process, Object, Schema (APOS) theory research by showing two approaches used by advanced mathematics students to construct relations between higher-order derivatives to solve complex problems. We show evidence of students’ ability to perform Actions on their graphing derivative Schema, that is, of its thematization. It also contributes to the literature on the learning of differential calculus by showing how advanced students use their knowledge to construct relations between concepts when facing complex situations. The work of three graduate students on transforming complex graphs and determining their properties and their relation to the domain structure is analyzed to determine their solution approaches. Their graphing derivative Schema is analyzed in depth in terms of the construction of relations among the Schema structures and assimilation and accommodation mechanisms involved in thematization in APOS theory. These findings are important in informing and developing didactic strategies to foster university students’ understanding of derivatives, which can smoothe the transition to the study of advanced mathematics courses.
Data Mining and in Silico Analysis of Ethiopian Traditional Medicine: Unveiling the Therapeutic Potential of Rumex abyssinicus Jacq.
Authors: Bultum Lemessa Etana , Kim Gwangmin , Lee Seon-Woo , Lee Doheon 
Published: August 2024

Abstract
Multicomponent traditional medicine prescriptions are widely used in Ethiopia for disease treatment. However, inconsistencies across practitioners, cultures, and locations have hindered the development of reliable therapeutic medicines. Systematic analysis of traditional medicine data is crucial for identifying consistent and reliable medicinal materials. In this study, we compiled and analyzed a dataset of 505 prescriptions, encompassing 567 medicinal materials used for treating 106 diseases. Using association rule mining, we identified significant associations between diseases and medicinal materials. Notably, wound healing—the most frequently treated condition—was strongly associated with Rumex abyssinicus Jacq., showing a high support value. This association led to further in silico and network analysis of R. abyssinicus Jacq. compounds, revealing 756 therapeutic targets enriched in various KEGG pathways and biological processes. The Random-Walk with Restart (RWR) algorithm applied to the CODA PPI network identified these targets as linked to diseases such as cancer, inflammation, and metabolic, immune, respiratory, and neurological disorders. Many hub target genes from the PPI network were also directly associated with wound healing, supporting the traditional use of R. abyssinicus Jacq. for treating wounds. In conclusion, this study uncovers significant associations between diseases and medicinal materials in Ethiopian traditional medicine, emphasizing the therapeutic potential of R. abyssinicus Jacq. These findings provide a foundation for further research, including in vitro and in vivo studies, to explore and validate the efficacy of traditional and natural product-derived medicines.
Comparative Neuroprotective Potential of Nanoformulated and Free Resveratrol Against Cuprizone-Induced Demyelination in Rats
Authors: El-Sayed Sara A. M. , Fouad Ghadha Ibrahim , Rizk Maha Z. , Beherei Hanan H. , Mabrouk Mostafa 
Published: August 2024

Abstract
Demyelination is a frequent yet crippling neurological disease associated with multiple sclerosis (MS). The cuprizone (CZ) model, which causes demyelination through oxidative stress and neuroinflammation, is a popular tool used by researchers to examine this process. The polyphenol resveratrol (RESV) has become a promising neuroprotective agent in seeking for efficient therapies. In a rat model given CZ, we created and examined iron oxide nanoparticles (IONPs) loaded with RESV (IONP-RESV) to see how effective they were as a therapeutic agent against free RESV. According to molecular mechanisms, exposure to CZ resulted in a marked downregulation of myelin proteolipid protein (PLP) expression and an overexpression of the inflammatory markers tumor necrosis factor-α (TNF-α) and S100β, which are indicators of demyelination and neuroinflammation. It is remarkable that these CZ-induced alterations could be reversed by therapy with either RESV or IONP-RESV. Interestingly, IONP-RESV showed even stronger anti-inflammatory activity, as shown by a more noticeable downregulation of TNF-α and S100β expression. These results were confirmed by histopathological examination of the cerebral cortices. Our findings support the better neuroprotective benefits of RESV-loaded IONPs over free RESV in reducing demyelination and neuroinflammation brought on by CZ. Owing to their pro-remyelinating, anti-inflammatory, and antioxidant properties, RESV-loaded IONPs show promise as a neurotherapeutic intervention in the future for neurological diseases such as multiple sclerosis.

Graphical Abstract
Amaurosis Post-Bilateral Neck Dissection: A Systematic Review
Authors: Hayat Jafar , Ali Yahya , Hussain Salman , Ramadhan Mohammad , Al-Gilani Maha 
Published: August 2024

AbstractTo discuss the prevalence of amaurosis post-bilateral radical neck dissections; and to provide a management algorithm that highlights the approaches undertaken in available literature to minimize incidence and maximally improve outcomes. This objective will be achieved by systematically reviewing and highlighting current literature. We systematically reviewed Pubmed, EMBASE, and Web of Science for articles pertaining to the management of amaurosis post-bilateral neck dissection. A comprehensive search of available literature was conducted by two independent authors to yield 23 articles to be included in the review. Due to the heterogeneity of study designs and outcome measures, findings were summarized and analyzed descriptively. 23 cases were reported between 1960 and 2021; n = 21 were reported through case reports. Neck dissection type alongside pharyngectomy (n = 7) and laryngectomy (n = 13) status were documented. Mean symptomatic onset was 7.3 ± 5.561 days; median onset n = 3. Seven reported symptoms post-operative day (POD) 0. n = 17 patients underwent bilateral radical neck dissections. n = 16 patients reported intraoperative hypotension. Investigations the patients underwent were documented. The most common causes of the disease included posterior ischaemic optic neuropathy (PION) (n = 8) and anterior ischaemic optic neuropathy (AION) (n = 5). The mean transfused amount of blood was 750 ml. The most common management of amaurosis post-bilateral neck dissection were through high dose corticosteroids. Mannitol and acetazolamide were also documented managements of the condition. Overall, there is a paucity of evidence pertaining to the management of amaurosis post-bilateral neck dissection; highlighting the importance of reviewing the available literature and proposing a management algorithm.
Karl Heinrich Ulrichs (1825–1895): A 200-Year Jubilee with Pitfalls
Authors: Mildenberger Florian G. 
Published: August 2024

AbstractFor the opponents of the sexual reform movement, he was the father of all evil; for the proponents of the decriminalization of same-sex desire, he paved the way for objective research. With the term “Urning”, he gave homosexuals an anthropological dignity. The Hanoverian lawyer Karl Heinrich Ulrichs (1825–1895) was notorious during his lifetime and at times esteemed after his death, but it was not until the 1990s that he became the secret hero of sexual emancipation and sexual history/historiography. Streets and squares were named after him, but his life’s work was also often instrumentalized.
Probabilistic quantile multiple fourier feature network for lake temperature forecasting: incorporating pinball loss for uncertainty estimation
Authors: Liu Siyuan , Deng Jiaxin , Yuan Jin , Li Weide , Li Xi’an , Xu Jing , Zhang Shaotong , Wu Jinran , Wang You-Gan 
Published: August 2024

AbstractLake temperature forecasting is crucial for understanding and mitigating climate change impacts on aquatic ecosystems. The meteorological time series data and their relationship have a high degree of complexity and uncertainty, making it difficult to predict lake temperatures. In this study, we propose a novel approach, Probabilistic Quantile Multiple Fourier Feature Network (QMFFNet), for accurate lake temperature prediction in Qinghai Lake. Utilizing only time series data, our model offers practical and efficient forecasting without the need for additional variables. Our approach integrates quantile loss instead of L2-Norm, enabling probabilistic temperature forecasts as probability distributions. This unique feature quantifies uncertainty, aiding decision-making and risk assessment. Extensive experiments demonstrate the method’s superiority over conventional models, enhancing predictive accuracy and providing reliable uncertainty estimates. This makes our approach a powerful tool for climate research and ecological management in lake temperature forecasting. Innovations in probabilistic forecasting and uncertainty estimation contribute to better climate impact understanding and adaptation in Qinghai Lake and global aquatic systems.
Optimizing the Conversion of Bio-Oil from Haematococcus pluvialis to Fatty Acid Methyl Esters
Authors: Sanjurjo C. , Rodríguez E. , Bartolomé M. , González R. , Battez A. Hernández 
Published: August 2024

AbstractHaematococcus pluvialis microalgae have emerged as a prevalent source of antioxidants in cosmetics and nutritional products. Additionally, numerous researchers have posited the potential of this microalgae to produce fatty acid methyl esters (FAME). Nevertheless, the optimization of the production of FAME from H. pluvialis oil has not been investigated. In this study, the transesterification reaction of H. pluvialis bio-oil was optimized using the response surface methodology, resulting in optimal experimental conditions for an oil to methanol ratio of 1:4.17, at a temperature of 80 °C, with a reaction time of 47 min. The resulting FAME was found to not comply with the biodiesel standard in terms of the content of polyunsaturated fatty acids (6.02%), as well as kinematic viscosity (7.02 mm2/s). Further study is required to reduce these parameters in order to ensure biodiesel quality and compliance with the standard. Nevertheless, its high flash point value of 150 °C and its high thermal stability within the temperature range of 211–290 °C suggest the potential for utilization as a biolubricant.
Enactive Design-Based Research in Vocational and Continuing Education and Training
Authors: Poizat Germain , Drakos Artémis , Ambrosetti Élodie , Flandin Simon , Ria Luc , Leblanc Serge 
Published: August 2024

AbstractThe purpose of this article is to introduce a design-based research (DBR) approach developed in the field of vocational and continuing education, which is grounded in a pragmatic and phenomenologically inspired enactivist approach to activity. As a design-based methodology, our activity-centered and enactive DBR approach aims to generate knowledge related to design and to identify relevant design principles. After detailing the particularities of an activity-centered and enactive DBR approach, we focus on the results pertaining to design knowledge by identifying two broad design principles for vocational education and training, and five enactivist inspired principles for training design. A significant practical implication for researchers and practitioners in vocational and continuing education and training is that these enactivist inspired design principles provide promising pathways to enhance the connectivity between (i) work experiences, (ii) work and training practices, and (iii) learning contexts.
The Role of Intravenous Anesthetics for Neuro: Protection or Toxicity?
Authors: Wang Kaixin , Wang Yafeng , Zhang Tianhao , Chang Bingcheng , Fu Daan , Chen Xiangdong 
Published: August 2024

Abstract
The primary intravenous anesthetics employed in clinical practice encompass dexmedetomidine (Dex), propofol, ketamine, etomidate, midazolam, and remimazolam. Apart from their established sedative, analgesic, and anxiolytic properties, an increasing body of research has uncovered neuroprotective effects of intravenous anesthetics in various animal and cellular models, as well as in clinical studies. However, there also exists conflicting evidence pointing to the potential neurotoxic effects of these intravenous anesthetics. The role of intravenous anesthetics for neuro on both sides of protection or toxicity has been rarely summarized. Considering the mentioned above, this work aims to offer a comprehensive understanding of the underlying mechanisms involved both in the central nerve system (CNS) and the peripheral nerve system (PNS) and provide valuable insights into the potential safety and risk associated with the clinical use of intravenous anesthetics.
Prognostic significance of HS2ST1 expression in patients with hepatocellular carcinoma
Authors: Chung Ting Ting , Kim Sang Kyum , Lee Seung Jin 
Published: August 2024

Abstract
Background
Heparan sulfate 2-O-sulfotransferase 1 (HS2ST1) catalyzes the sulfation of glucuronic acid residues in heparan sulfate proteoglycans, enabling these proteoglycans to interact with numerous ligands within tumor microenvironments. However, the prognostic role of HS2ST1 expression in cancer remains unclear.

Objective
This investigated HS2ST1 expression levels and their prognostic significance in various cancer types, demonstrated the prognostic value of HS2ST1 expression in hepatocellular carcinoma (HCC) patients, and identified molecular signatures associated with HS2ST1 expression.

Methods
HS2ST1 expression and patient survival data from The Cancer Genome Atlas (TCGA) datasets were analyzed using the Gene Expression Profiling Interactive Analysis (GEPIA) portal. We obtained gene expression and clinicopathological information on HCC patients from the TCGA and the Japan and France International Cancer Genome Consortium (ICGC) databases and performed survival analyses. We also examined relevant protein networks, differentially expressed genes, gene set enrichments, and tumor immune microenvironment features associated with HS2ST1 expression.

Results
HS2ST1 exhibited higher expression in eight tumor types compared with normal tissues and was associated with poor prognoses in five tumors, including HCC. HS2ST1 status correlated with poor prognosis in two ICGC HCC cohorts. Elevated HS2ST1 expression in HCC tumors was associated with signaling pathways involved in cell cycle progression, protein secretion, and mTORC1 signaling. Moreover, HS2ST1 expression levels were inversely correlated with immune cell infiltration in the tumor microenvironment.

Conclusion
Our study elucidates the prognostic significance of HS2ST1 expression in HCC patients and provides insights into the potential roles of HS2ST1 in signaling pathways and the tumor microenvironment.
Scientific policy advice on sustainable development: lessons learned from the Dialogue between Scientific Councils in Germany
Authors: Sokolovska Nataliia , Ellersiek Anne , Fecher Benedikt 
Published: August 2024

AbstractThis paper presents an in-depth case study about the Dialogue between Scientific Councils, also referred to as the Beirätedialog, which is a format for cross-sectoral science policy consulting on sustainable development in Germany. Set up to address current trends, it is designed to facilitate deliberation and collective knowledge creation between scientists and policymakers. Based on 4 years of participatory observation, we analyze to what extent this goal can be achieved and present some empirical insights about the main difficulties that occurred. We argue that creating a space for interaction does not guarantee collective knowledge production and identify key learnings that can help design such a process. In support of the growing interest in communication at the intersection of science and policymaking, our research seeks to deepen the understanding of the dynamics of co-creative processes and offer some insights on how to overcome the main challenges.
Considerations Around the Inclusion of Children and Young People’s Time in Economic Evaluation: Findings from an International Delphi Study
Authors: Morgan Cameron , Donaldson Cam , Lancsar Emily , Petrou Stavros , Andronis Lazaros 
Published: August 2024

Abstract
Background
People’s time is a finite resource and a valuable input that ought to be considered in economic evaluations taking a broad, societal perspective. Yet, evaluations of interventions focusing on children and young people (CYP) rarely account for the opportunity cost of time in this population. As a key reason for this, health economists have pointed to uncertainty around when it is appropriate to include CYP time-related costs in an economic evaluation and highlighted the lack of clear guidance on the topic.

Methods
With this in mind, we carried out a Delphi study to establish a list of relevant considerations for researchers to utilise whilst making decisions about whether and when to include CYP time in their economic evaluations. Delphi panellists were asked to propose and rate a set of possible considerations and provide additional thoughts on their ratings. Ratings were summarised using descriptive statistics, and text comments were interrogated through thematic analysis.

Findings
A total of 73 panellists across 16 countries completed both rounds of a two-round Delphi study. Panellists’ ratings showed that, when thinking about whether to include displaced CYP time in an economic evaluation, it is very important to consider whether: (1) inclusion would be in line with specified perspective(s) (median score: 9), (2) CYP’s time may already be accounted for in other parts of the evaluation (median score: 8), (3) the amount of forgone time is substantial, either in absolute or relative terms (median score: 7) and (4) inclusion of CYP’s time costs would be of interest to decision-makers (median score: 7). Respondents thought that considerations such as (1) whether inclusion would be of interest to the research community (median score: 6), (2) whether CYP’s time displaced by receiving treatment is ‘school’ or ‘play’ time (median score: 5), and (3) whether CYP’s are old enough for their time to be considered valuable (median score: 5) are moderately important. A range of views was offered to support beliefs and ratings, many of which were underpinned by compelling normative questions.
Simulation of the compression of pellets out of filamentous microorganisms using DEM
Authors: Schrader Marcel , Hoffmann Nils , Schmideder Stefan , Deffur Charlotte , Schilde Carsten , Briesen Heiko , Kwade Arno 
Published: August 2024

AbstractFilamentous microorganisms enable the production of a wide range of industrially relevant substances, such as enzymes or active pharmaceutical ingredients, from renewable side products and waste materials. The microorganisms' growth is characterized by the formation of complex, porous networks (mycelium) of tubular, multi-branched cells (hyphae). The mycelium is increasingly used in textiles, packaging, food and construction materials, in addition to the production of chemical substances. Overall, the mycelium's mechanical behavior is essential to many applications. In submerged cultures, spherical hyphal networks (pellets) are formed. The pellets are subjected to mechanical stress during cultivation, which can lead to structural changes affecting product titer and process conditions. To numerically investigate the mechanical behavior of pellets under normal stresses, the discrete element method (DEM) was used for the first time to simulate pellet compression. Initially, pellet structures were generated using a biological growth model and represented by a flexible fiber model. Force–displacement curves were recorded during compression to investigate the influencing factors. The effects of pellet size, fiber segment length, biological growth and DEM model parameters were studied. A strong influence of the growth parameters on the radial hyphal fraction and thus on the compression force was shown. Furthermore, the mechanical properties of the fiber joints significantly determined the pellet mechanics in the considered compression range. Overall, the simulation approach provides a novel tool for the digital investigation of stress on different mycelia, which may be used in the future to enhance mycelial structures through genetic and process engineering methods.
Viscosity solutions of obstacle equations by inhomogeneous convex envelopes
Authors: Treviño-Aguilar Erick 
Published: August 2024

AbstractWe characterize the convex envelope of a continuous function as a viscosity solution of a second order differential equation of obstacle style. The notion of convexity that we investigate is an inhomogeneous generalization of the classical concept of convexity motivated by problems of singular control in finance.