bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pre-Service Teachers’ Approaches in Solving Mathematics Tasks with ChatGPT
Authors: Noster Norbert , Gerber Sebastian , Siller Hans-Stefan 
Published: September 2024

AbstractThe use of large language models like ChatGPT is widely discussed for educational purposes. Using this technology requires teachers to have appropriate competences that incorporate knowledge of how to make use of this technology. In this study, we investigate pre-service teachers’ knowledge through the lens of the KTMT model (“Knowledge for Teaching Mathematics with Technology” model), a domain-specific variant of the TPACK-model. One component is represented in mathematical fidelity as knowledge of the mathematical accuracy of the technology, which in case of large language models is of special interest, as it may produce erroneous but plausible-sounding information. Furthermore, prompting techniques are of interest as technological knowledge, which influence mathematical fidelity. For this study, eleven pre-service teachers were asked to solve four different mathematical tasks with the help of ChatGPT. The chatlogs and information provided in an interview after working on the tasks are analyzed using qualitative content analysis. Results show that both correct and incorrect answers were produced for all tasks. The rate of pre-service teachers providing an incorrect answer is high when having been presented with an incorrect answer generated by the large language model. Despite having access to ChatGPT as a tool, many of the participants were not able to provide correct answers to all tasks. Furthermore, the mathematical fidelity was often over- and, in some cases, underrated. The mathematical knowledge seems to have changed while working with ChatGPT. Based on the applied prompting techniques, the pre-service teachers showed a deficiency in technological knowledge.
Schwerpunkt: Wissenschaftsfreiheit unter Druck
Authors: Schäfer Karsten 
Published: September 2024

ZusammenfassungDie Wissenschaftsfreiheit steht gegenwärtig sowohl in Deutschland als auch weltweit unter Druck. Die Herausforderungen sind vielfältig, lassen sich jedoch grob in drei Komplexe gliedern: erstens lassen sich Gefährdungen durch politische Einflussnahme feststellen. Zweitens wird vielfach eine wachsende Ökonomisierung sowie drittens eine zunehmende Moralisierung der Wissenschaft konstatiert. Aus den drei genannten Komplexen ergibt sich eine Situation, in welcher die Wissenschaftsfreiheit gegenwärtig ernsthaft bedroht scheint. Der vorliegende ZPol-Focus analysiert verschiedene Facetten dieser komplexen Gemengelage und geht der Frage nach, wie sich aktuelle Herausforderungen und Probleme lösen lassen.
Morse theoretic signal compression and reconstruction on chain complexes
Authors: Ebli Stefania , Hacker Celia , Maggs Kelly 
Published: September 2024

AbstractAt the intersection of Topological Data Analysis (TDA) and machine learning, the field of cellular signal processing has advanced rapidly in recent years. In this context, each signal on the cells of a complex is processed using the combinatorial Laplacian, and the resultant Hodge decomposition. Meanwhile, discrete Morse theory has been widely used to speed up computations by reducing the size of complexes while preserving their global topological properties. In this paper, we provide an approach to signal compression and reconstruction on chain complexes that leverages the tools of algebraic discrete Morse theory. The main goal is to reduce and reconstruct a based chain complex together with a set of signals on its cells via deformation retracts, preserving as much as possible the global topological structure of both the complex and the signals. We first prove that any deformation retract of real degree-wise finite-dimensional based chain complexes is equivalent to a Morse matching. We will then study how the signal changes under particular types of Morse matchings, showing its reconstruction error is trivial on specific components of the Hodge decomposition. Furthermore, we provide an algorithm to compute Morse matchings with minimal reconstruction error.
Mineralogical Impact on the Compaction of Residual Gabbro Soils in the Construction of Platinum Tailings Storage Facilities
Authors: Tunnell Jason , Dippenaar Matthys Alois 
Published: September 2024

AbstractOver the past decade, there have been 45 tailings storage facility (TSF) disasters worldwide resulting in fatalities, serious environmental damage, and the destruction of entire ecosystems. These failures often stem from substandard design or operational practices. Many TSFs are constructed in regions associated with intrusive mafic rocks such as gabbro, norite, pyroxenite, and anorthosite, which are commonly found alongside platinum group metals in areas like the Bushveld Igneous Complex in South Africa and the Great Dyke in Zimbabwe. The stability of these structures can be significantly influenced by the residual soils present at the construction sites. Residual soils, both cohesive and non-cohesive, contain varying quantities of different minerals, which can impact the compaction characteristics and, consequently, the stability of the TSF foundations. Cohesive soils rich in clay minerals, such as kaolinite and smectite, exhibit properties that can hinder effective soil compaction. The expansive nature of smectite due to its ability to absorb large amounts of water and host free exchangeable cations counteracts the compaction process, reducing soil stability. Soil compaction is a complex process influenced by several factors, including compaction effort, method, water content, particle size distribution, and mineralogy. This study aimed to analyse these factors using a series of laboratory tests, including foundation indicators, MOD AASHTO compaction testing, and X-ray diffraction analysis, on residual soils from two TSF construction sites. The findings revealed that soils with high clay content tend to retain more water and have a higher optimum water content, adversely affecting their compaction properties. This study highlights the critical need to consider the mineralogical composition and weathering effects of residual soils in the design and construction of TSFs. By improving our understanding of these factors, we can enhance the stability of TSF foundations, reducing the likelihood of future failures. The insights gained from this research highlight the importance of thorough geotechnical assessments in the successful design and maintenance of TSFs.
Optimizing Underground Coal Mine Safety: Leveraging Advanced Computational Algorithms for Roof Fall Rate Prediction and Risk Mitigation
Authors: Fattahi Hadi , Ghaedi Hossein , Armaghani Danial Jahed 
Published: September 2024

AbstractThe utilization and consumption of coal in various nations have emphasized the pivotal role played by coal mines. However, aside from the substantial contribution of coal mines, miners, engineers, and craftsmen in this industry have long been exposed to numerous risks and financial losses resulting from roof collapses in underground coal mines. Hence, due to the heightened sensitivity surrounding this issue, the accurate and low-error forecasting and assessment of the roof fall rate (RFR) are deemed crucial and of utmost importance. Nonetheless, due to the intricate and uncertain inherent characteristics of the rock formations, assessing the RFR has encountered multiple challenges that cannot be precisely approximated through traditional methods. In this paper, algorithms such as the harmony search algorithm (HS) and the invasive weed Optimization algorithm (IWO) are harnessed to address the aforementioned challenges. To model the RFR, a total of 109 data points were used, incorporating input parameters such as primary roof support (PRSUP), depth of cover (D), coal mine roof rating (CMRR), mine height (MH), and intersection diagonal span (IS). For effective data analysis and model development, the dataset was split into two separate groups: one for training and the other for testing. Specifically, 80% of the data was used to build the model, while the remaining 20% was allocated for model evaluation and validation. Based on the outcomes of three statistical metrics R2, MSE, and RMSE, it is evident that the deployment of HS and IWO algorithms demonstrates high performance, with predicted values closely aligning with actual ones. Consequently, the utilization of intelligent algorithms in the field of rock engineering is positioned as a potent tool for researchers and engineers. In conclusion, a sensitivity analysis is carried out with the help of the @RISK software as a means of ranking the influence that the input parameters have on the output of the model. Its results indicate that among different parameters, the CMRR parameter with a sensitivity degree of 0.11 has the most impact on the model, even with the smallest change in this parameter, a significant change is made in the model output.
Cost-effectiveness and algorithmic decision-making
Authors: Mainz Jakob , Munch Lauritz , Bjerring Jens Christian 
Published: September 2024

AbstractWe argue that there are cases in which it is morally permissible to replace medical practitioners with machine learning algorithms. Our argument appeals to the uncontroversial view that it is sometimes morally permissible to make medical decisions based on cost-effectiveness considerations. For example, it is generally morally permissible to prescribe a treatment that is as effective as its alternatives but much cheaper. If this is so, we argue, then similar cost-effectiveness considerations can explain why it is sometimes morally permissible to replace human practitioners with algorithms. To reject our argument, one needs to show that when it comes to algorithmic medical decision-making, there are special considerations that would always override cost-effectiveness considerations. We go through a range of candidate considerations and argue that none of them is weighty enough to tip the balance in favor of human practitioners.
A boost or a redundancy? on the value of combination of androgen receptor signal inhibitor and PARP inhibitor for advanced prostate cancer
Authors: Wang Qihao , Ye Jianjun , Zheng Lei , Tu Xiang , Zeng Hao , Bao Yige , Wei Qiang 
Published: September 2024

AbstractPoly (ADP-ribose) polymerase (PARP) inhibitor (PARPi), as a novel endocrine therapy, has been investigated in patients with metastatic castration-resistant prostate cancer (mCRPC) in recent years. Multiple large-scale clinical trials have consistently demonstrated that various PARP inhibitors, including olaparib, rucaparib, niraparib, and talazoparib, confer longer radiographic progression-free survival (rPFS) compared to new hormonal agents (NHA) in mCRPC patients with homologous recombination deficiency (HRD). Moreover, the incidence of grade 3 and above adverse events did not significantly increase. Additionally, when combined with androgen receptor signaling inhibitors (ARSI), olaparib, niraparib, and talazoparib have shown significant extension of rPFS but also an increased occurrence of serious adverse events in HRD-positive patients. Only PROpel yielded positive results among the homologous recombination repair (HRR) mutation negative population. Therefore, it remains uncertain whether ARSI-PARPi combination therapy should be considered as first-line treatment for mCRPC patients without HRR mutations. In this review article, we aim to elucidate the necessity and feasibility of combination therapy versus monotherapy specifically within the HRR mutant population while exploring its potential applicability to other non-HRR mutant subtypes. Furthermore, we conducted a comprehensive search on registered clinical trials at present to summarize the research progress of PARP inhibitors in prostate cancer patients at different disease stages.
Lessons Learned from a Human Rabies Breakthrough Infection: A Rare Case Report
Authors: Tang Jun , Dong Haiyun , Xu Min , He Wenfang , Li Jinxiu , Wang Guyi 
Published: September 2024

AbstractBreakthrough infection of rabies is rarely reported. And it is difficult to make a definite diagnosis of rabies for patients with atypical clinical manifestations. Here we report a rabies breakthrough infection who presented atypical clinical manifestations. The diagnosis of rabies was confirmed by the detection of rabies virus in cerebrospinal fluid by metagenomics next-generation sequencing (mNGS).
Maximizing resource efficiency with dairy and municipal wastewater as nutrient media for Chlorella vulgaris with simultaneous CO2 sequestration
Authors: Pattanaik Suchismita , Panigrahi Subhasmita , Pradhan Nilotpala , Nayak Bibhuranjan 
Published: September 2024

AbstractAddressing critical environmental challenges such as greenhouse gas emissions, global warming, and eutrophication demands urgent and innovative solutions. In recent years, microalgae have emerged as a promising avenue for addressing these pressing issues. In this study, the combination of dairy and municipal wastewater is proposed as a culture medium for cultivating microalgae strains capable of sequestering atmospheric CO2. Specifically, the growth of Chlorella vulgaris was investigated using Bold's basal medium, along with varying concentrations of municipal and dairy wastewater, both with and without CO2 supplementation, to assess their CO2 capture potential. Concurrently, the efficiency of chemical oxygen demand (COD), total nitrogen, potassium, and phosphate removal from the wastewater was evaluated. Additionally, the combination of wastewater media with CO2 supplementation yielded the highest CO2 uptake rates, indicating the feasibility of simultaneous CO2 capture during microalgae cultivation. Media composition with 25% municipal wastewater: 75% dairy wastewater supplemented with CO2 demonstrated superior COD elimination with a higher percentage of nutrient removal from wastewater compared to other wastewater proportions. The nutrient removal capacity of aforementioned media also comes in line with high CO2 sequestration rate (13.57 mg L−1 h−1). These findings underscore the potential of utilizing wastewater from diverse sources as a viable culture medium for microalgae cultivation, facilitating concurrent CO2 capture and wastewater treatment.
Identifying and testing adaptive management options to increase river catchment system resilience using a Bayesian Network model
Authors: Adams Kerr J. , Metzger Marc J. , Helliwell Rachel C. , Melville Nicola , Macleod Christopher J. A. , Pritchard Jim , Edwards Katie , Glendell Miriam 
Published: September 2024

AbstractThe cumulative impacts of future climatic and socioeconomic change threaten the ability of freshwater catchments to provide essential ecosystem services. Stakeholders who manage freshwaters require decision-support tools that increase their understanding of catchment system resilience and support the appraisal of adaptive management options to inform decision-making. Our research aims to test the ability of a Bayesian Network model to identify adaptive management scenarios and test their effectiveness across future pathways to 2050. Using the predominantly arable river Eden catchment (320 km2) in eastern Scotland as a case study, we invited stakeholders from multiple sectors to participate in a series of workshops aimed at addressing water quality issues and achieving good ecological status in the catchment both now and in the future. Our participatory methods helped stakeholders overcome multiple layers of complexity and uncertainty associated with future-focused water management. Outputs of a Bayesian Network model simulated both current and future catchment resilience to inform the identification of six management scenarios. The effectiveness of each management scenario was tested using the Bayesian Network model. Two adaptive management scenarios increased catchment resilience and helped achieve good ecological status; a ‘Best Available Technology’ scenario, including aerobic granular sludge treatment, and a management scenario focused on ‘Resource Centre’, including phosphorus recovery from wastewater treatment works and constructed lagoons for crop irrigation. Stakeholders were interested in a 'Nature Based' management scenario including options such as wetland wastewater treatment methods and rural sustainable drainage systems, which improved water quality in the catchment, but had lower certainty in achieving desired outcome. Findings led to a recognition that innovative and collaborative action was required to improve current and future freshwater conditions.
Salidroside exerts antidepressant-like action by promoting adult hippocampal neurogenesis through SIRT1/PGC-1α signalling
Authors: Xing Shan , Xu Shuyi , Wang Linjiao , Guo Liyuan , Zhou Xin , Wu Haoxin , Wang Wei , Liu Lanying 
Published: September 2024

AbstractDepression is one of the major mental disorders, which seriously endangers human health, brings a serious burden to patients’ families. In this study, we intended to further explore the antidepressant-like effect and possible molecular mechanisms of Salidroside (SAL). We built corticosterone (CORT)-induced depressive mice model and used behavioural tests to evaluate depression behaviour. To explore the molecular mechanisms of SAL, we employed a variety of methods such as immunofluorescence, western blot, pharmacological interference, etc. The results demonstrated that SAL both at 25 mg/kg and 50 mg/kg can reduce immobility time in the tail suspension test (TST). At the same time, SAL treatment could restore the reduced sugar water intake preference in the sucrose preference test (SPT) in CORT-induced depressive mice and reduce the immobility time in TST and forced swimming experiments (FST). In addition, SAL treatment reversed the reduction in the number of Ki-67, BrdU, and NeuN in the hippocampus due to CORT treatment. SAL treatment also restored the expression of SIRT1, PGC-1α, brain-derived neurotrophic factor (BDNF) and other proteins in the hippocampus. In addition, after blocking SIRT1 signalling with EX527, we found that the treatment with SAL failed to reduce the immobility time in TST and FST, the level of SIRT1 and PGC-1α activity were correspondingly downregulated, and the expression of DCX and Ki-67 in the hippocampus failed to be activated. These findings suggested that SAL exerts antidepressant-like effects by promoting hippocampal neurogenesis through the SIRT1/PGC-1α signalling pathway.
Who decides who gets in? Diplomats, bureaucrats, and visa issuance
Authors: Lindsey David 
Published: September 2024

Abstract
Does resident diplomacy influence international outcomes? Theoretically, I argue that resident diplomats tend to adopt uniquely cooperative stances toward their hosts. I test this expectation using a natural experiment involving British visa issuance. Starting in 2007, the UK transferred visa decision making from local diplomatic posts to centralized hubs, located either at third country diplomatic posts or domestically. I study this rollout to credibly estimate the causal effects of visa adjudication by local posts. I find that resident diplomats implement a much more lenient visa policy—transferring adjudication to an outside hub reduces issuance by about fifteen percent. There is a robust difference between the behavior of local and third-country posts, showing that this cooperative effect of diplomacy is relationship-specific.
Does vote buying undermine confidence in ballot secrecy? Theory and experimental evidence
Authors: Ascencio Sergio J. , Chang Han Il 
Published: September 2024

Abstract
Why does vote buying persist under the secret ballot? We argue initiating vote-buying transactions allows politicians to undermine voter confidence in the secret ballot, and thus to induce voter compliance. Our analysis consists of three parts. First, we present evidence from a survey experiment in Mexico that shows receiving material goods from a candidate diminishes voter confidence in ballot integrity. Next, we introduce an informational theory of vote buying that explains this phenomenon. Specifically, we develop a model of vote buying as a signaling game, in which a voter who is ex ante uncertain about a politician's capacity to monitor voter behavior learns new information from the politician's actions. Finally, we test the key insights from the model in a lab experiment. Our results suggest that, under certain conditions, offering material goods to voters is sufficient to erode their confidence in ballot secrecy, making vote buying effective.
Contesting clusters: a study of norm weaving in Pacific climate mobilities policies
Authors: Moore Liam 
Published: September 2024

AbstractThis article identifies a sub-category of norm contestation I've termed ‘norm weaving’, where actors contest the constitution of norm clusters, instead of the validity of individual norms. This occurs through processes of stretching or reproducing individual strands of existing norm clusters before weaving them together to create behaviour guides in undergoverned issue areas that are greater than the sum of their individual parts. I identify two examples of weaving in the world-leading actions of Fiji and Vanuatu around domestic climate mobilities. Using these two cases, we can see that existing models of norm dynamics need to be developed to better explain and understand weaving-like processes of norm contestation. There are two areas where norm weaving extends our understanding – in how clusters of norms emerge and change, and in how contestation applies to groupings of norms. Clarifying what norm weaving looks like in these cases could open the door to further examples being identified in other contexts and a more complete understanding of how norms operate in global politics.
Multilayer circular substrate-integrated waveguide cavity band-pass filters with ultrawide stopband characteristics
Authors: Medda Amrita , Azad Amit Ranjan , Mohan Akhilesh , Sinha Manoranjan 
Published: September 2024

AbstractThis paper presents a methodology to design band-pass filters having ultrawide stopband characteristics using multilayer circular substrate-integrated waveguide (SIW) cavities. The orthogonal microstrip feedlines are used as input and output ports that are present at the top and bottom layers, while the middle layers are used to couple the SIW cavities. Higher-order spurious modes of the circular SIW cavity are suppressed by using orthogonal feeding mechanism and properly adjusting the arc-shaped slots between the cavities. To validate the present approach, two filters (second- and fourth-order) have been designed and fabricated and their characteristics are measured. The second-order filter exhibits a stopband rejection below 25 dB up to nearly 5.07f0, while the fourth-order filter has a stopband characteristic of nearly 5.05f0 with 20 dB rejection. The filters allow only TM010 mode propagation and attenuate the higher-order spurious modes of the cavity.