bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine visual perception from sim-to-real transfer learning for autonomous docking maneuvers
Authors: Worth Derek , Choate Jeffrey , Raettig Ryan , Nykl Scott , Taylor Clark 
Published: December 2024

Abstract
This paper presents a comprehensive approach to enhancing autonomous docking maneuvers through machine visual perception and sim-to-real transfer learning. By leveraging relative vectoring techniques, we aim to replicate the human ability to execute precise docking operations. Our study focuses on autonomous aerial refueling as a use case, demonstrating significant advancements in relative navigation and object detection. We introduce a novel method for aligning digital twins using fiducial targets and motion capture data, which facilitates accurate pose estimation from real-world imagery. Additionally, we develop cost-efficient annotation automation techniques for generating high-quality You Only Look Once training data. Experimental results indicate that our transfer learning methodologies enable accurate and reliable relative vectoring in real-world conditions, achieving error margins of less than 3 cm at contact (when vehicles are approximately 4 m from the camera) and maintaining performance at over 56 fps. The research findings underscore the potential of augmented reality and scene augmentation in improving model generalization and performance, bridging the gap between simulation and real-world applications. This work lays the groundwork for deploying autonomous docking systems in complex and dynamic environments, minimizing human intervention and enhancing operational efficiency.
Paramedian transparietal approach to the lateral ventricle in a dominant hemisphere: how I do it
Authors: Grannò Simone , Al Awadhi Abdullah , May Adrien , Bijlenga Philippe 
Published: December 2024

Abstract

Background
Intraventricular tumors present significant surgical challenges due to their deep location and proximity to critical neuroanatomical structures. Surgical strategies include the transtemporal, interhemispheric and transparietal approaches, each carrying specific risks. Recently, a paramedian transparietal approach to a lateral ventricle meningioma in the dominant hemisphere was described.

Methods
We propose a mini-craniotomy, mixed reality-assisted paramedian transparietal approach via a trans-sulcal route for safe tumor resection while preserving critical white matter tracts.

Conclusions
This technique enhances the safety and efficacy of intraventricular tumor resection, particularly in young patients with dominant hemisphere lesions.
A Novel Construct to Perform In Situ Deformation Measurements of Material Extrusion-Fabricated Structures
Authors: Nelson Daniel , La Saponara Valeria 
Published: December 2024

AbstractMaterial extrusion is an additive manufacturing modality that continues to show great promise in the ability to create low cost, highly intricate, and exceedingly useful structural elements. As more capable and versatile filament materials are devised and the resolution of manufacturing systems continues to increase, the need to understand and predict manufacturing-induced warping will gain ever greater importance. The following study presents a novel in situ remote sensing and data analysis construct that allows for the in situ mapping and quantification of surface displacements induced by residual stresses on specified test structures. This proof-of-concept experimental process shows that it is possible to provide designers and manufacturers with insight into the manufacturing parameters that lead to these deformations, with a greater understanding of the behavior of these warping events over the course of the manufacturing process.
Unreliable service system with strategic customers: effect of abandonments and repair time
Authors: Kanavetas Odysseas , Logothetis Dimitrios 
Published: December 2024

AbstractIn this study, we analyze the reneging behavior of strategic customers in a Markovian queueing system with a single server which is subject to breakdowns. In the event of a breakdown, the server is replaced with a secondary backup unit which serves at a diminished service speed. The restoration of the primary unit is possible only when the system is empty and through a repair process. Reneging is possible and the customers may decide to abandon the system at any time. To focus on the effect of reneging, we also consider the case where reneging is prohibited and the customers decide exclusively, whether to join or balk. We also consider the case where the repair duration is instantaneous. For these models, we derive the equilibrium strategies for the customers and evaluate the performance of the system under both scenarios. Moreover, we discuss the effects of the server repairing procedure and present numerical experiments that reveal key differences in the customer strategic behavior. We identify cases where reneging is beneficial in terms of social welfare, as well as cases where prohibiting reneging ensures greater welfare.
The intrinsic problems in EQ damage prognosis: the experience from a systematic evaluation of L’Aquila databases and different levels of data availability
Authors: Lamadrid Lissethe F. G. , Schwarz Jochen , Maiwald Holger 
Published: December 2024

Abstract
Within the European TURNkey project, a knowledge-based exposure-modelling framework was developed, enabling the consideration of different levels of investigation and data availability. In particular, the proposed framework recognizes various levels and origins of uncertainties, as well as the completeness of a building stock catalogue. Despite substantial efforts, the main question still needs to be answered: How reliable can the developed tools and instruments be if they are not tested and validated by actual events? The L’Aquila 2009 earthquake has been the subject of several analytical strategies to enrich earthquake engineering knowledge. In this study, the information provided by the Italian Observed Damage Database is analyzed, explicitly focusing on the seismic sequence of the L’Aquila 2009 earthquake within the delimited area of the city’s historical center. A second dataset, where the European Macroseismic Scale (EMS-98) was used as a reference, is integrated into the study, and the results are compared. A methodology is implemented for a systematically evaluating the database based on the EMS-98. From the data analysis, a proposal is made to define a comparable EMS-98 building typology and to assign vulnerability classes considering optimistic, pessimistic and most likely criteria. The reliability of the sample is then explored using the knowledge-based exposure modelling framework established by the TURNkey Project. Accuracy is then evaluated through an empirical inspection of frontal (lateral) views available in Google Street View (2022). Images before and after the event are collected and compared with the available data. Intrinsic problems encountered during the process are then listed and discussed, particularly regarding the use of the database, the joint between the studied datasets, and the post-processing required to use the data for damage prognosis. This paper intends to demonstrate how reliable datasets for the building stock, including structural types and corresponding vulnerability classes, can be elaborated. Not least, exposure modelling has to transform the available data into a descriptive form that can be linked directly with the Fragility or Vulnerability Functions, expecting that these assignments are the best suited or representative ones. The data layers provided by the study enable the testing and training of exposure modelling techniques for the selected event and target region.
Teacher’s pet or rebel? Practitioners’ perspectives on the impacts of ChatGPT on course design
Authors: Tran Tri Mikael , Bakajic Misa , Pullman Madeleine 
Published: December 2024

AbstractThe popularity of ChatGPT raises concerns about the impacts of artificial intelligence (AI) on higher education. While past research explored how ChatGPT, a widely recognized text-based generative AI, can improve productivity and efficiency in education, little is yet known about its impact on course design. Utilizing Bloom’s taxonomy and Biggs’ constructive alignment, this research examined the potential influence of ChatGPT on course design. We conducted 19 interviews with lecturers from seven universities located in different countries, who teach a range of business school courses with course objectives at various Bloom’s levels. Additionally, we interviewed three educational specialists with expertise in educational technology and pedagogy. Respondents had mixed opinions about ChatGPT's influence on learning and course design. Our findings suggest that the effectiveness of ChatGPT may be influenced by the complexity of learning outcomes as defined by Bloom’s taxonomy. The researchers propose a framework that teachers can use to mitigate its negative impacts.
A basic system of paraconsistent Nelsonian logic of conditionals
Authors: Olkhovikov Grigory K. 
Published: December 2024

AbstractWe define a Kripke semantics for a conditional logic based on the propositional logic $$\textsf{N4}$$

N
4

, the paraconsistent variant of Nelson’s logic of strong negation; we axiomatize the minimal system induced by this semantics. The resulting logic, which we call $$\textsf{N4CK}$$

N
4
CK

, shows strong connections both with the basic intuitionistic logic of conditionals $$\textsf{IntCK}$$
IntCK
introduced earlier in (Olkhovikov, 2023) and with the $$\textsf{N4}$$

N
4

-based modal logic $$\textsf{FSK}^d$$

FSK
d

introduced in (Odintsov and Wansing, 2004) as one of the possible counterparts to the classical modal system $$\textsf{K}$$
K
. We map these connections by looking into the embeddings which obtain between the aforementioned systems.
Vocal Speed and Processing of Persuasive Messages: Curvilinear Processing Effects
Authors: Guyer Joshua J. , Vaughan-Johnston Thomas I. , Fabrigar Leandre R. , Paredes Borja , Briñol Pablo , Shen Minqian 
Published: December 2024

AbstractMost work on indicators of vocal confidence (and social influence work more broadly) examines linear relationships between variables. However, in some domains curvilinear (i.e., accelerating or decelerating) relationships may provide greater clarity in understanding human speech patterns. We review mixed past work on vocal speed as a case study, wherein faster vocal speed has been shown both to bolster and inhibit persuasion (e.g., by impairing processing). Across six total studies (Ntotal = 3,958), we show that faster speed initially increases perceived source confidence and message processing but eventually the increase attenuates or reverses. Correspondingly, vocal speed has a decelerating relationship to participants’ processing of persuasive messages, as revealed by two main processes: argument quality effects on attitudes, and the correspondence between thought valence and attitudes. The present work highlights the potential value of high-powered examinations of curvilinear relationships in non-verbal phenomenon for which speed is likely to play a role.
Consequences of distinguishing anthropomorphism from animism in experimental manipulations
Authors: Karpinska-Krakowiak Malgorzata 
Published: December 2024

AbstractAnimism (perceiving an object as alive) and anthropomorphism (perceiving an object as a person) are two distinct cognitive processes, but they have often been conflated in marketing research. For example, the popular method of manipulating anthropomorphism with a cognitive task (i.e., instructing participants to imagine and describe a product as alive and human) pertains to both animism and anthropomorphism. No research has examined how distinguishing anthropomorphism from animism can be harmful/beneficial for marketing research, and what consequences one might expect from this distinction in experiments. Through three studies, I demonstrate that animism and anthropomorphism are separate processes, with anthropomorphism yielding less elaborate product-related descriptions than animism, which deflates persuasive outcomes in the experiments. These findings can assist researchers in refining their experimental manipulations and enable the discovery of marketing effects that might otherwise go unnoticed.
Effects of short-term exposure to elevated atmospheric CO2 on yield, nutritional profile, genetic regulatory pathways, and rhizosphere microbial community of common bean (Phaseolus vulgaris)
Authors: Duarte Rafael D. C. , Nunes da Silva Marta , Fortunato Gianuario , Quirós-Vargas Juan , Muller Onno , Manaia Célia M. , Vasconcelos Marta W. 
Published: December 2024

Abstract
Aim
Legumes are vital to agroecosystems and human nutrition, yet climate change is compromising their nutritional value. This study aims to assess how a one-month exposure to elevated CO2 (eCO2) impacts biomass yield, mineral profile, gene expression, and the soil microbiome of common bean plants (Phaseolus vulgaris L.).

Methods
Phaseolus vulgaris L. was grown in field conditions under ambient CO2 (control, aCO2, 400 ppm) or eCO2 (600 pm) from the start of pod filling until plant maturity and analyzed for several morphophysiological and nutritional parameters.

Results
Compared with aCO2, eCO2 exposure significantly increased plant and grain biomass, with fluctuations in mineral accumulation. Notably, it decreased grain iron and zinc concentrations, two essential microelements related to food security, by 59% and 49%, respectively. Additionally, grain phenolic content decreased by up to 41%. Genes involved in mineral uptake (such as FER1, ZIP1, and ZIP16), plant response to stress (TCR1, TCR2, and HLH54) and symbiosis with soil microorganisms (NRMAP7 and RAM2) seemed to regulate effects. Microbiome analysis supported these findings, with an increase in the relative abundance of Pseudomonadota by 10%, suggesting eCO2-induced alterations in microbial community structure.

Conclusions
This research demonstrates how eCO2 impacts the nutritional quality of common beans regarding micronutrients and phenolic content, while also affecting soil microbiome composition. Highlighting the value of shorter term eCO2 treatments, the findings provide early insights into immediate plant responses. This underscores the need for crop improvement strategies to address nutrient deficiencies that may arise under future eCO2 conditions.
Investigating construct validity of cognitive load measurement using single-item subjective rating scales
Authors: Schuessler Katrin , Fischer Vanessa , Walpuski Maik 
Published: December 2024

Abstract
Cognitive load studies are mostly centered on information on perceived cognitive load. Single-item subjective rating scales are the dominant measurement practice to investigate overall cognitive load. Usually, either invested mental effort or perceived task difficulty is used as an overall cognitive load measure. However, the extent to which the results of these two single-items differ has not yet been sufficiently investigated. Although subjective rating scales are widely used, they are criticized and questioned as their validity is doubted. This study examines construct validity of both cognitive load rating scales (invested mental effort, perceived task difficulty) using relative task difficulty and task demands (cognitive processes and availability of possible answer options) as criteria, adds further evidence supporting the validity of single-item subjective ratings as an indicator for overall cognitive load, and shows how ratings of cognitive load differ when the invested mental effort or the perceived task difficulty item is used. The results indicate that self-ratings might be influenced by the availability of possible answer options as well as cognitive processes necessary to work on a task. The findings also confirm the idea that self-ratings for perceived task difficulty and invested mental effort do not measure the same but different aspects of overall cognitive load. Furthermore, our findings clearly advise to precisely examine at which point and how frequently cognitive load is measured as delayed ratings are closely related to more demanding items within a set of items. Considering advantages of single-item subjective ratings (easy to implement even in huge samples, low time exposure, and suitableness for repeated measures) and disadvantages of alternative ways to measure cognitive load (regarding cost and time efficiency and problem of additional load), current results confirm the use of these items to get an impression of the overall cognitive load. However, the results also suggest that both items do not measure the same thing and researchers should therefore discuss carefully which item they use and how this may limit the results of their study.
Is restorative justice appropriate for sexual assault and domestic violence? A systematic review and meta-analysis of the “empirical vacuum”
Authors: Kettrey Heather Hensman , Reynolds Noah Samuel 
Published: December 2024

Abstract
Objectives
Restorative justice (RJ) is a victim-centered approach to addressing injustice, providing those harmed with empowerment and restitution. Yet, the application of RJ to sexual assault (SA) or domestic violence (DV) cases is rare and contentious.

Method
In a broad systematic review yielding 12,461 candidate reports, we identified four eligible studies relayed through five reports (N = 692 participants).

Results
Findings from a meta-analysis of 12 effects reported across four studies indicated a small but significant and favorable effect on offender recidivism (g = 0.26, 95% CI [0.09, 0.43]), which became non-significant when limiting the sample to randomized control trials. Although RJ is designed to be victim-centered, no eligible studies reported quantitative victim well-being outcomes.

Conclusions
Results identified potentially favorable effects of RJ in SA/DV cases; thus, implementation appears to be acceptable. However, before widespread rollout is recommended, more research is needed, especially as RJ affects victims of SA/DV.
Combined study of creep and ageing under deviatoric loading in granular materials
Authors: Jessen Belinda Anna-Maria , Vogt Stefan , Cudmani Roberto 
Published: December 2024

AbstractGranular soils creep and age. Previous findings on the time-dependent phenomena under deviatoric stress are summarized and extended with the results of an experimental investigation. Multi-stage triaxial compression tests with creep phases at different deviatoric loading on medium-dense and dense samples of a uniformly graded silica sand confirm an increase in stiffness after creep phases. Contact maturing, contact homogenization, and stabilization of the soil structure are known causes for ageing reported in the literature. As other results found in the literature, the volumetric creep behavior can be dilatant, contractant or of negligible strain close to zero and depends on the trend of the volumetric strain resulting from deviatoric loading at the beginning of creep. By the triaxial tests it is shown that dilatant creep results in an increase of the radial strain due to grain rearrangements. The axial strain rates during creep and changes of the small-strain shear modulus (ageing) follow a power law with time. According to the experiments, the exponent of the proposed power law describing the development of strain and shear modulus at small strain during creep is independent of the density and stress state. The small-strain shear stiffness and the associated soil structure at the onset of creep determine the subsequent ageing behavior. A linear dependency was found between the related ageing rates and axial strain rates during creep, which can be used to predict ageing of granular materials in combination with rate-dependent constitutive models.
The VR-AI–Assisted Simulation for Content Knowledge Application in Pre-Service EFL Teacher Training
Authors: Pitura Joanna , Kaplan-Rakowski Regina , Asotska-Wierzba Yuliya 
Published: December 2024

Abstract
Pre-service teachers (PSTs) of English as a Foreign Language (EFL) need extensive training, preparing them for challenges encountered in real classrooms. Such challenges include presenting the target content knowledge in front of the class and promptly responding to students’ questions on the content. High-immersion virtual reality (VR) is increasingly seen as technology facilitating teacher training. When integrated with Artificial Intelligence (AI), VR simulations can enhance teacher education by providing real-world practice opportunities. Drawing on cognitive flexibility theory (CFT), this case study investigated how pre-service EFL teachers (N = 17) in Poland interpret the VR-AI–assisted simulation designed to facilitate their content knowledge application. The results suggest that such simulations are valuable for professional development and reflective practice regarding content knowledge in pre-service EFL teacher training. The findings contribute to the broader understanding of the integration of VR and AI technology in language teachers’ training programs aiming to support the application of content knowledge in real-life classrooms.
On coupling constraints in linear bilevel optimization
Authors: Henke Dorothee , Lefebvre Henri , Schmidt Martin , Thürauf Johannes 
Published: December 2024

AbstractIt is well-known that coupling constraints in linear bilevel optimization can lead to disconnected feasible sets, which is not possible without coupling constraints. However, there is no difference between linear bilevel problems with and without coupling constraints w.r.t. their complexity-theoretical hardness. In this note, we prove that, although there is a clear difference between these two classes of problems in terms of their feasible sets, the classes are equivalent on the level of optimal solutions. To this end, given a general linear bilevel problem with coupling constraints, we derive a respective problem without coupling constraints and prove that it has the same optimal solutions (when projected back to the original variable space).
Validation of the German work-related basic need satisfaction scale (W-BNS-G)
Authors: Grünwald K. C. , Van den Broeck A. , Colledani D. , Lermer E. , Falvo R. , Hudecek M. F. C. 
Published: December 2024

Abstract
Currently, there is no validated German tool that captures the basic needs as outlined in Self-Determination Theory (SDT) in the organizational context. To be able to collect reliable and valid data for research and use the results of German research on SDT to derive and implement empirically grounded practical implications that foster employee well-being, performance, and companies’ growth, a validated measurement tool is a compulsory requirement. Therefore, this study aimed to develop and validate a German version of the Work-related Basic Need Satisfaction scale. (W-BNS). We replicated the three-factor structure, as well as the reliability of the three subscales and could extensively confirm the construct- and the criterion-related validity of the original W-BNS for the German version (W-BNS-G, N = 648). Additionally, multi-group comparisons were conducted to investigate cultural measurement invariance with the Dutch and the Italian version of the W-BNS. In summary, the present study provides a tool with high reliability and validity assessing the basic needin the organizational context in German language. We address the potential comparability of German, Italian, and Dutch findings using the different versions of the W-BNS and conclude by discussing the limitations of the present study and deriving suggestions for future research.