bluuebunny/crossref_metadata_2025_split huggingface dataset:
A review of machine learning methods used for educational data
Authors: Ersozlu Zara , Taheri Sona , Koch Inge 
Published: May 2024

AbstractIntegrating machine learning (ML) methods in educational research has the potential to greatly impact upon research, teaching, learning and assessment by enabling personalised learning, adaptive assessment and providing insights into student performance, progress and learning patterns. To reveal more about this notion, we investigated ML approaches used for educational data analysis in the last decade and provided recommendations for further research. Using a systematic literature review (SLR), we examined 77 publications from two large and high-impact databases for educational research using bibliometric mapping and evaluative review analysis. Our results suggest that the top five most frequently used keywords were similar in both databases. The majority of the publications (88%) utilised supervised ML approaches for predicting students’ performances and finding learning patterns. These methods include decision trees, support vector machines, random forests, and logistic regression. Semi-supervised learning methods were less frequently used, but also demonstrated promising results in predicting students’ performance. Finally, we discuss the implications of these results for statisticians, researchers, and policymakers in education.
Observational Assessment of Changes in Earth’s Energy Imbalance Since 2000
Authors: Loeb Norman G. , Ham Seung-Hee , Allan Richard P. , Thorsen Tyler J. , Meyssignac Benoit , Kato Seiji , Johnson Gregory C. , Lyman John M. 
Published: May 2024

AbstractSatellite observations from the Clouds and the Earth’s Radiant Energy System show that Earth’s energy imbalance has doubled from 0.5 ± 0.2 Wm−2 during the first 10 years of this century to 1.0 ± 0.2 Wm−2 during the past decade. The increase is the result of a 0.9 ± 0.3 Wm−2 increase absorbed solar radiation (ASR) that is partially offset by a 0.4 ± 0.25 Wm−2 increase in outgoing longwave radiation (OLR). Despite marked differences in ASR and OLR trends during the hiatus (2000–2010), transition-to-El Niño (2010–2016) and post-El Niño (2016–2022) periods, trends in net top-of-atmosphere flux (NET) remain within 0.1 Wm−2 per decade of one another, implying a steady acceleration of climate warming. Northern and southern hemisphere trends in NET are consistent to 0.06 ± 0.31 Wm−2 per decade due to a compensation between weak ASR and OLR hemispheric trend differences of opposite sign. We find that large decreases in stratocumulus and middle clouds over the sub-tropics and decreases in low and middle clouds at mid-latitudes are the primary reasons for increasing ASR trends in the northern hemisphere (NH). These changes are especially large over the eastern and northern Pacific Ocean, and coincide with large increases in sea-surface temperature (SST). The decrease in cloud fraction and higher SSTs over the NH sub-tropics lead to a significant increase in OLR from cloud-free regions, which partially compensate for the NH ASR increase. Decreases in middle cloud reflection and a weaker reduction in low-cloud reflection account for the increase in ASR in the southern hemisphere, while OLR changes are weak. Changes in cloud cover in response to SST increases imply a feedback to climate change yet a contribution from radiative forcing or internal variability cannot be ruled out.
Counteroffers for faculty at research universities: who gets them, who doesn’t, and what factors produce them?
Authors: White-Lewis Damani K. , O’Meara KerryAnn , Mathews Kiernan , Havey Nicholas 
Published: May 2024

Abstract
In US higher education, faculty members may receive an outside offer of employment from an external organization, and then receive a corresponding counteroffer from their current institution. Counteroffers are written contracts made to individuals — either prematurely in anticipation of an outside offer, but most often after an outside offer — that outline improved salary, benefits, and/or other employment conditions with the hopes of retaining them. Though the norm of the “retention offer” is pervasive in the academy, in practice it can be much more nebulous, inefficient, discretionary, and inequitable. Few studies, however, empirically examine this process. In this study, we analyze quantitative institutional and survey data collected from 650 faculty by the Collaborative on Academic Careers in Higher Education (COACHE) to explore whether certain populations of faculty are more likely to receive counteroffers, and why. We found that women and racially minoritized scholars were less likely to receive counteroffers, and identified other factors that impact reception of counteroffers like faculty members’ desire to leave and their notification of leadership. We conclude by situating findings within extant research and offering implications for future research on counteroffers and their practice in faculty retention.
Bridges over troubled waters: Climate clubs, alliances, and partnerships as safeguards for effective international cooperation?
Authors: von Luepke Heiner , Neuhoff Karsten , Marchewitz Catherine 
Published: May 2024

AbstractDriven by the motivation to raise the ambition level of climate action and to foster the transformation of economies, current climate policy discourse revolves around ways to improve cooperation between industrialized countries and emerging economies. We identify three broad types of initiatives—multilateral-cross sectoral, multilateral, sector specific, and climate and development partnerships—and assess them for potentials to deliver on such objectives with a specific focus on industry transformation. This paper provides new reflections on the institutionalization of international climate cooperation. Specifically, we demonstrate the urgent need to understand what values, norms, and underlying principles drive a cooperation in order to draw conclusions on how to best institutionalize climate cooperation rules.in-use. We conclude that an overemphasis on a CO2 price and on carbon border adjustment mechanisms, such as in the context of the initial proposals for a cross-sectoral climate club envisaged by G7 countries, would have contributed to a further polarization of the international landscape. We find, however, that multilateral, sectoral alliances play an important role for international goal setting and the convergence on standards, metrics, and benchmarks. Based on our analysis, we recommend strengthening multilateral, sector-specific partnerships. These can be focused on sectoral topics as a connector between countries, allowing for a strategically-aligned, increasingly deep collaboration. However, for any initiative to succeed, processes of international institutionalization will be needed in order to agree on rules for implementation based on aligned interests and equity. Building such institutions may well serve as a steppingstone toward more durable cooperation structures between developed economies and emerging economies. In sum, no existing cooperation approach is perfect, but three actions may be taken to move the agenda forward: First, reform of the carbon border adjustment mechanism and removing it from the center of climate club discussions, second, coupling sectoral alliances with climate and development partnerships, and three, designing them in a way to address fears of political influence seeking and superimposition of global north agendas on the global south.
On the algebraic connectivity of some token graphs
Authors: Dalfó C. , Fiol M. A. 
Published: May 2024

AbstractThe k-token graph $$F_k(G)$$

F
k

(
G
)

of a graph G is the graph whose vertices are the k-subsets of vertices from G, two of which are adjacent whenever their symmetric difference is a pair of adjacent vertices in G. It was proved that the algebraic connectivity of $$F_k(G)$$

F
k

(
G
)

equals the algebraic connectivity of G with a proof using random walks and interchange of processes on a weighted graph. However, no algebraic or combinatorial proof is known, and it would be a hit in the area. In this paper, we algebraically prove that the algebraic connectivity of $$F_k(G)$$

F
k

(
G
)

equals the one of G for new infinite families of graphs, such as trees, some graphs with hanging trees, and graphs with minimum degree large enough. Some examples of these families are the following: the cocktail party graph, the complement graph of a cycle, and the complete multipartite graph.
Development of a Self-Report Measure of Prediction in Daily Life: The Prediction-Related Experiences Questionnaire
Authors: O’Brien Amanda M. , May Toni A. , Koskey Kristin L. K. , Bungert Lindsay , Cardinaux Annie , Cannon Jonathan , Treves Isaac N. , D’Mello Anila M. , Joseph Robert M. , Li Cindy , Diamond Sidney , Gabrieli John D. E. , Sinha Pawan 
Published: May 2024

Abstract
Purpose
Predictions are complex, multisensory, and dynamic processes involving real-time adjustments based on environmental inputs. Disruptions to prediction abilities have been proposed to underlie characteristics associated with autism. While there is substantial empirical literature related to prediction, the field lacks a self-assessment measure of prediction skills related to daily tasks. Such a measure would be useful to better understand the nature of day-to-day prediction-related activities and characterize these abilities in individuals who struggle with prediction.

Methods
An interdisciplinary mixed-methods approach was utilized to develop and validate a self-report questionnaire of prediction skills for adults, the Prediction-Related Experiences Questionnaire (PRE-Q). Two rounds of online field testing were completed in samples of autistic and neurotypical (NT) adults. Qualitative feedback from a subset of these participants regarding question content and quality was integrated and Rasch modeling of the item responses was applied.

Results
The final PRE-Q includes 19 items across 3 domains (Sensory, Motor, Social), with evidence supporting the validity of the measure’s 4-point response categories, internal structure, and relationship to other outcome measures associated with prediction. Consistent with models of prediction challenges in autism, autistic participants indicated more prediction-related difficulties than the NT group.

Conclusions
This study provides evidence for the validity of a novel self-report questionnaire designed to measure the day-to-day prediction skills of autistic and non-autistic adults. Future research should focus on characterizing the relationship between the PRE-Q and lab-based measures of prediction, and understanding how the PRE-Q may be used to identify potential areas for clinical supports for individuals with prediction-related challenges.
Enhancing the O2 sensitivity of [Ru(bpy)3]2+ dye by incorporating SnO2 and Ni:SnO2
Authors: Oguzlar Sibel , Zeyrek Ongun Merve 
Published: May 2024

AbstractOxygen (O2)-sensitive probes encapsulated in a polymeric matrix have gas sensitivity improved by adding different metal oxide semiconductors (MOSs) to the composition. In this research, O2-sensitive tris(2,2′-bipyridyl) ruthenium(II) chloride ([Ru(bpy)3]Cl2) was chosen as a fluorophore, and SnO2 and Ni:SnO2 additives were used to enhance the oxygen sensitivity of the dye. While preparing sensing agents as a form of thin film and nanofiber, dye and MOSs powders were immobilized into the polymethylmethacrylate (PMMA) matrix in close proximity to each other. The oxygen-induced intensity measurements, decay time kinetics, and kinetic response were investigated for each of the sensing slides in the concentration range of 0–100% [O2]. Signal decreases in the emission-based intensity values of all MOSs-doped [Ru(bpy)3]2+-based complexes were monitored. Compared with free form, Ni:SnO2-doped [Ru(bpy)3]2+-based nanofiber agents exhibited a 4.03-fold increase in signal change (I0/I) ratio. The nanofiber structure, which allows the sensor slide to have a higher surface/volume ratio, allows O2 gas to penetrate more effectively. This can lead to greater interaction of the gas within the sensor matrix, resulting in more sensitive detection. Higher Stern Volmer (Ksv) values, greater O2 -induced sensing capabilities, more linear spectral measurements over larger concentration ranges, and faster response and recovery times show that MOSs-doped [Ru(bpy)3]2+-based sensing agents make promising candidates as oxygen probes.
Observing Interviewees’ Inner Self: How Authenticity Cues in Job Interviews Relate to Interview and Job Performance
Authors: Heimann Anna Luca , Schmitz-Wilhelmy Annika 
Published: May 2024

Abstract
Job interviews are among the most popular selection methods. Previous research suggests that interviewees who are perceived as being authentic are evaluated more favorably in job interviews. However, little is known about which behavioral cues elicit perceptions of authenticity in others and whether interviewees who exhibit such authenticity cues are more likely to perform better in the job interview and on their actual job. Drawing from person perception theories, the purpose of this study is to introduce the concept of authenticity cues to interview research and to examine the extent to which authenticity cues are related to (a) raters’ perceptions of interviewee authenticity, (b) interviewer ratings of interview performance, and (c) supervisor ratings of job performance. We used video recordings from 181 employed individuals participating in a mock interview to observe and rate interviewees’ authenticity cues. Results indicate that observers can distinguish between verbal and para/nonverbal authenticity cues and that both verbal and para/nonverbal cues influence the extent to which interviewees are perceived as authentic by independent raters. Moreover, we found that interviewees’ para/nonverbal authenticity cues were particularly relevant to predicting interview performance, whereas only verbal authenticity cues were related to job performance. In our analyses, we further considered the role of first impressions in the interview, interviewees’ verbal cognitive ability, and interviewees’ extraversion. Implications for theories of person perception, authenticity research, and interview practice are discussed.
Exact Solution to a Generalised Lillo–Mike–Farmer Model with Heterogeneous Order-Splitting Strategies
Authors: Sato Yuki , Kanazawa Kiyoshi 
Published: May 2024

AbstractThe Lillo–Mike–Farmer (LMF) model is an established econophysics model describing the order-splitting behaviour of institutional investors in financial markets. In the original article (Lillo et al. in Phys Rev E 71:066122, 2005), LMF assumed the homogeneity of the traders’ order-splitting strategy and derived a power-law asymptotic solution to the order-sign autocorrelation function (ACF) based on several heuristic reasonings. This report proposes a generalised LMF model by incorporating the heterogeneity of traders’ order-splitting behaviour that is exactly solved without heuristics. We find that the power-law exponent in the order-sign ACF is robust for arbitrary heterogeneous order-submission probability distributions. On the other hand, the prefactor in the ACF is very sensitive to heterogeneity in trading strategies and is shown to be systematically underestimated in the original homogeneous LMF model. Our work highlights that predicting the ACF prefactor is more challenging than the ACF exponent because many microscopic details (complex ingredients in actual data analyses) start to matter.
CoMadOut—a robust outlier detection algorithm based on CoMAD
Authors: Lohrer Andreas , Kazempour Daniyal , Hünemörder Maximilian , Kröger Peer 
Published: May 2024

AbstractUnsupervised learning methods are well established in the area of anomaly detection and achieve state of the art performances on outlier datasets. Outliers play a significant role, since they bear the potential to distort the predictions of a machine learning algorithm on a given dataset. Especially among PCA-based methods, outliers have an additional destructive potential regarding the result: they may not only distort the orientation and translation of the principal components, they also make it more complicated to detect outliers. To address this problem, we propose the robust outlier detection algorithm CoMadOut, which satisfies two required properties: (1) being robust towards outliers and (2) detecting them. Our CoMadOut outlier detection variants using comedian PCA define, dependent on its variant, an inlier region with a robust noise margin by measures of in-distribution (variant CMO) and optimized scores by measures of out-of-distribution (variants CMO*), e.g. kurtosis-weighting by CMO+k. These measures allow distribution based outlier scoring for each principal component, and thus, an appropriate alignment of the degree of outlierness between normal and abnormal instances. Experiments comparing CoMadOut with traditional, deep and other comparable robust outlier detection methods showed that the performance of the introduced CoMadOut approach is competitive to well established methods related to average precision (AP), area under the precision recall curve (AUPRC) and area under the receiver operating characteristic (AUROC) curve. In summary our approach can be seen as a robust alternative for outlier detection tasks.
A Parallel Model for Jointly Extracting Entities and Relations
Authors: Chen Zuqin , Zheng Yujie , Ge Jike , Yu Wencheng , Wang Zining 
Published: May 2024

AbstractExtracting relational triples from a piece of text is an essential task in knowledge graph construction. However, most existing methods either identify entities before predicting their relations, or detect relations before recognizing associated entities. This order may lead to error accumulation because once there is an error in the initial step, it will accumulate to subsequent steps. To solve this problem, we propose a parallel model for jointly extracting entities and relations, called PRE-Span, which consists of two mutually independent submodules. Specifically, candidate entities and relations are first generated by enumerating token sequences in sentences. Then, two independent submodules (Entity Extraction Module and Relation Detection Module) are designed to predict entities and relations. Finally, the predicted results of the two submodules are analyzed to select entities and relations, which are jointly decoded to obtain relational triples. The advantage of this method is that all triples can be extracted in just one step. Extensive experiments on the WebNLG*, NYT*, NYT and WebNLG datasets show that our model outperforms other baselines at 94.4%, 88.3%, 86.5% and 83.0%, respectively.
Negative conspecific plant-soil feedback on alien plants co-growing with natives is partly mitigated by another alien
Authors: Chen Duo , van Kleunen Mark 
Published: May 2024

Abstract
Background and aims
Naturalized alien and native plants can impact each other directly when they grow next to each other, but also indirectly through their soil legacies. These alien-native interactions can also be modified by the presence of a third alien or native species. However, it is unknown how the performance of co-growing alien and native species is affected by their soil legacies and by the presence of an additional species.

Methods
In our two-phase plant-soil-feedback experiment, soils were first conditioned by eight herbaceous species, four of which are naturalized and four of which are native to Germany. We then grew all 16 pairwise alien-native species combinations on soil conditioned by the respective alien or native species, on a mixture of soils conditioned by both species or on control soil. Each pair of test plants was grown on these soils without or with an additional alien or native species.

Results
Soil conditioning, and particularly conspecific soil conditioning, reduced growth of the alien and native test plants. The addition of another species also reduced growth of the test plants. However, the negative conspecific soil-legacy effect on alien test plants was reduced when the additional species was also alien.

Conclusion
The negative conspecific plant-soil feedback for alien and native plants in our study could promote their coexistence. However, as partial alleviation of negative conspecific effects on alien plants occurred with an additional alien species, the chances of coexistence of alien and native species might decrease when there are multiple alien species present.
Q methodologist views on the future of Q: a
study of a research community
Authors: Ramlo Susan 
Published: May 2024

AbstractIt has been almost 90 years since William Stephenson’s 1935
letter to Nature that opened the door for Q methodology [Q]. Criticisms and
excitement ensued and continue into the present within and outside of the Q research
community. Yet, any research community contains researchers with different
positionalities about the methodology’s philosophical framework, and best
practices regarding data collection and/or data analysis. A relatively recent Q
study indicated differences of opinion among Q methodologists when it comes to data
analysis and its philosophical framework. Twenty years ago, Hurd and Brown uncovered
four divergent viewpoints about the Q community’s view of the future of Q.
Thus, especially with Q’s growing popularity, it seemed time to repeat that
study with some change to the subjective statements used within the data collection
phase, as many changes have occurred especially regarding technological advances for
data collection and data analysis. Two viewpoints were uncovered, Tradition and Community, with a focus on the
theoretical framework provided by Stephenson and the welcoming nature of the Q
community, and Unorthodox with Expansion of Q,
with a yearning to expand Q both physically and theoretically including a
willingness to move beyond Stephenson’s vision. The discussion and conclusion
focus on the implications of these perspectives and their shared consensus for the
future of Q methodology as well as implications for other research methodologies. In
other words, this study provides a demonstration of complementarity for
understanding the behavior of all types of research communities.