bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient Approximation of Varying Fiber Orientation States in Injection Molded Parts Under Consideration of Multiple Manufacturing Uncertainties
Authors: Wittemann Florian , Krauß Constantin , Kärger Luise 
Published: October 2024

Abstract
The production of high-quality fiber reinforced polymer parts is an important aspect in several industrial areas. However, due to unavoidable uncertainties in material and manufacturing processes, the part quality scatters. One important aspect here is the fiber orientation, being crucial for the thermo-mechanical properties of the part and being influenced by the uncertain material state and process conditions. Process simulations are an important tool for predicting the fiber orientation, but state-of-the-art simulations are normally deterministic and represent only one specific case. Performing enough deterministic simulations to model manufacturing uncertainties requires high numerical effort. Therefore, this work presents methods to quickly and efficiently approximate the fiber orientation under varying material and process parameters, requiring only a few simulations as input. Different schemes for approximation are evaluated and compared with each other and with 3D process simulations.
Strategic configurations: exploring MNEs’ commitment reduction in an emerging economy
Authors: Gao Qiuling , Cui Lin , Wu Sihong , Choi Yoona , Fan Di 
Published: October 2024

AbstractCommitment reduction in the foreign investment process is a critical strategic decision for multinational enterprises (MNEs). Recognizing the complex nexus of drivers for MNE commitment reduction in an emerging economy, this study investigates the configurations of resource, industrial, and institutional factors that collectively influence the strategic decision of commitment reduction. We incorporated the strategic tripod framework to reveal the interactive patterns among various sets of factors influencing the investment reduction decisions of MNEs. Using fuzzy-set qualitative comparative analysis (fsQCA), we analyzed foreign investment reduction by MNEs operating across nineteen industries in China between 2013 and 2019. Our findings identify configurational solutions leading to four propositions, applying the strategic tripod to explain MNE commitment reduction decisions. This study concludes with important theoretical and practical implications, suggesting ideas for pushing the research landscape further.
Possible measure of soil factors in the Italian seismic code
Authors: Albarello Dario , Paolucci Enrico 
Published: October 2024

AbstractThe Italian seismic code provides a simplified approach to account for the effect of local seismostratigraphical configuration on the expected ground motion. This approach, common with other seismic codes, provides specific ‘soil factors’ as a function of a set of reference subsoil conditions (soil classes): these factors are considered in 1D subsoil configurations to modify the uniform probability hazard spectrum deduced from probabilistic seismic hazard at reference soil conditions. It is inferred that, to provide a coherent management of uncertainty affecting the response spectrum to be used for the design, the contribution of uncertainty affecting soil factors must be carefully considered to avoid biases in the hazard evaluation. In the present study, variability of soil factors representative of each soil class has been explored by numerical simulation relative to many seismostratigraphical configurations inferred from seismic microzonation studies available in Italy relative to 1689 municipalities. This analysis shows that variability of soil factors is of the same order of magnitude of variability affecting reference response spectra, which implies that the former cannot be neglected as presently happens in the common practice. It is also shown that neglecting this contribution can lead to underestimate the impact of subsoil configuration on the regularized response spectrum provided by the norm, in particular, in the short period range.
syN-BEATS for robust pollutant forecasting in data-limited context
Authors: Berman Josef , Pinhasov Ben , Tshuva Moshe , Aperstein Yehudit 
Published: October 2024

AbstractThis research introduces syN-BEATS, a novel ensemble deep learning model tailored for effective pollutant forecasting under conditions of limited data availability. Based on the N-BEATS architecture, syN-BEATS integrates various configurations with differing numbers of stacks and blocks, effectively combining weak and strong learning approaches. Our experiments show that syN-BEATS outperforms standard models, especially when using Bayesian optimization to fine-tune ensemble weights. The model consistently achieves low relative root mean square errors, proving its capacity for precise pollutant forecasting despite data constraints. A key aspect of this study is the use of data from only one meteorological and one air quality monitoring station per region, simulating environments with restricted monitoring capabilities. By applying this approach in regions with diverse climates and air quality levels, we thoroughly assess the model’s flexibility and resilience under different environmental conditions. The results highlight syN-BEATS’ ability to support the development of effective health alert systems that can detect specific airborne pollutants, even in areas with limited monitoring infrastructure. This advancement is crucial for enhancing environmental monitoring and public health management in under-resourced areas.
Stratification controls the magnitude of in-lake phosphorus cycling: insights from a morphologically complex eutrophic lake
Authors: Zhao Siqi , Hermans Martijn , Niemistö Juha , Vesterinen Jussi , Jilbert Tom 
Published: October 2024

AbstractUsing a combination of sediment trap experiments, sedimentary biogeochemical analyses and mass balance calculations, we conducted a comprehensive quantitative evaluation of the in-lake phosphorus (P) cycles including in both the water and sediment phases for Lake Hiidenvesi, a dimictic eutrophic lake in southern Finland. We explicitly demonstrated the heterogeneity of the in-lake P cycles between basins with distinct morphological features. Enhanced interactions between waters and sediments occur in shallow and non-stratified areas, as evidenced by the magnitudes of gross sedimentation and total internal P loading. In such shallow areas, sediment resuspension contributes over 60% of the total internal P loading throughout the entire open water season. In contrast, sedimentary P cycling is less intensive in deep and stratified areas, where diffusive fluxes account for an average of 70% of total internal P loading. We show that sedimentary P burial plays a key role in controlling the in-lake P cycle. Permanent burial of P showing higher rates and efficiencies tends to occur in deeper areas. Overall, sediments in Lake Hiidenvesi act as a net P sink under modern biogeochemical settings; the lake is in the process of long-term recovery from eutrophication due to the larger annual P output than external loading.
The Impact of Cultural Dimensions and Quality of Life on Smartphone Addiction and Employee Performance: The Moderating Role of Quality of Life
Authors: Alshare Khaled , Moqbel Murad , Merhi Mohammad I. , Bartelt Valerie , Alam Maliha 
Published: October 2024

AbstractSmartphones, while ubiquitous and beneficial, can lead to problematic use. This study investigates the intricate interplay between cultural dimensions, smartphone addiction, and employee performance. Through the lens of distraction theory, attachment Theory, coping theory combined with Hofstede's cultural dimensions, and self-regulation theory and quality of life, we examine how collectivism, individualism, uncertainty avoidance, and masculinity cultural dimensions influence smartphone addiction and its subsequent effect on employee performance. The findings, based on data collected from 233 employees at a major medical center in the Midwest region of the USA and employing structural equation modeling, reveal a significant cultural influence on smartphone addiction, ultimately leading to a decline in performance. However, quality of life emerges as a crucial moderator, mitigating the negative impact of smartphone addiction. This research offers valuable insights for information systems scholars, highlighting the importance of cultural context in understanding smartphone addiction. Furthermore, the study equips managers with practical knowledge to address smartphone addiction within a culturally diverse workforce. By implementing strategies that enhance employee quality of life, organizations can foster a more productive and engaged work environment.
Poverty Reduction and Family Functioning: Results from an Experimental Study in Sub-Saharan Africa
Authors: Karimli Leyla , Nabayinda Josephine , Nartey Portia B. , Ssewamala Fred M. 
Published: October 2024

AbstractThe study tests the effect of poverty-reduction intervention on family functioning reported by AIDS-orphaned children in extended families in Southern Uganda by asking two questions: (1) based on children’s reports, how does poverty reduction intervention affect family functioning? and (2) to what extent do these effects vary by a child’s gender and orphanhood status? Informed by the social causation theory, family stress model, and asset theory, the study aims to address the existing knowledge gap on effects of poverty reduction interventions on family functioning in low-income families caring for AIDS orphaned children in Uganda. We ran multilevel regression models using longitudinal data collected in a cluster-randomized controlled trial from N = 1410 children (n = 621 boys and n = 789 girls) recruited from 48 rural primary schools in Uganda. Survey data was collected every 12 months over the course of 5 years. The average age of children at enrollment was 13 years. We found significant positive effects of the intervention on family cohesion, family communication, and child-caregiver relationship. Effects vary by child’s gender and orphanhood category. Intervention improves family communication for boys, while improving family cohesion and quality of child-caregiver relationship for girls. Single maternal orphans reported improved family communication, while single paternal orphans reported improved child-caregiver relationship. Poverty reduction interventions are important to improve family functioning for low-income families. Variations by child’s gender and orphanhood status have not been reported in previous studies, and our findings underscore the importance of continued research in this area.
A Multilinear HJB-POD Method for the Optimal Control of PDEs on a Tree Structure
Authors: Kirsten Gerhard , Saluzzi Luca 
Published: October 2024

AbstractOptimal control problems driven by evolutionary partial differential equations arise in many industrial applications and their numerical solution is known to be a challenging problem. One approach to obtain an optimal feedback control is via the Dynamic Programming principle. Nevertheless, despite many theoretical results, this method has been applied only to very special cases since it suffers from the curse of dimensionality. Our goal is to mitigate this crucial obstruction developing a version of dynamic programming algorithms based on a tree structure and exploiting the compact representation of the dynamical systems based on tensors notations via a model reduction approach. Here, we want to show how this algorithm can be constructed for general nonlinear control problems and to illustrate its performances on a number of challenging numerical tests introducing novel pruning strategies that improve the efficacy of the method. Our numerical results indicate a large decrease in memory requirements, as well as computational time, for the proposed problems. Moreover, we prove the convergence of the algorithm and give some hints on its implementation.
Bias-aware face mask detection dataset
Authors: Kantarcı Alperen , Ofli Ferda , Imran Muhammad , Ekenel Hazım Kemal 
Published: October 2024

AbstractIn December 2019, a novel coronavirus (COVID-19) spread so quickly around the world that many countries had to set mandatory face mask rules in public areas to reduce the transmission of the virus. To monitor public adherence, researchers aimed to rapidly develop efficient systems that can detect faces with masks automatically. However, the lack of representative and novel datasets posed challenges for training efficient models. Early attempts to collect face mask datasets did not account for potential race, gender, and age biases. Therefore, the resulting models show inherent biases toward specific race groups, such as Asian or Caucasian. In this work, we present a novel face mask detection dataset that contains images posted on Twitter during the pandemic from around the world. Unlike previous datasets, the proposed Bias-Aware Face Mask Detection (BAFMD) dataset contains more images from underrepresented races and age groups to mitigate the problem of the face mask detection task. We perform experiments to investigate potential biases in widely used face mask detection datasets and illustrate that the BAFMD dataset yields models with better performance and generalization ability. The dataset is publicly available at https://github.com/Alpkant/BAFMD.
Paternal Incarceration and Adolescent Delinquency: Role of Father Engagement and Early Child Behavior Problems
Authors: Anderson Abigail J. , Henrich Christopher C. , Mrug Sylvie 
Published: October 2024

AbstractPaternal incarceration is an important predictor of teen delinquency, but the factors that may explain this relationship—such as early child problem behaviors and level of father engagement—have not been adequately explored. The current longitudinal study examined paternal history of incarceration as a predictor of teen self-reported delinquency over a 15-year gap, considering early child problem behaviors and father engagement as mediators. Sex differences in these relationships were also evaluated. This four-wave longitudinal study included an analytic sample of 4897 teens who participated in the birth-cohort Future of Families and Child Well-Being Study. Mothers and fathers were interviewed shortly after the focal child’s birth and were then reassessed in follow-up interviews at child ages 1, 3, 5, 9, and 15. The focal children were interviewed at ages 9 and 15. Results showed that paternal prior incarceration at year 1 was associated with greater child behavior problems and father engagement at year 5; however, those relationships disappeared by age 9. Paternal history of incarceration was not related to teen delinquency, but child behavior problems at age 9 were directly related to subsequent engagement in delinquent behaviors. Paternal current incarceration was related to subsequent father engagement but was not associated with later child behaviors. No significant indirect pathways emerged, indicating a lack of support for mediation. No sex differences in these relationships were observed. Overall, the findings underscore the complexity of the relationships between paternal incarceration, child behavior, and father engagement in the emergence of delinquent behaviors.
Reflections Upon Student Elective Engagement in STEM Enterprise Education
Authors: Watts Carys A. , Hetherington Richard 
Published: October 2024

Abstract
There is a well recognised desire to encourage enterprise and entrepreneurial thinking in university students, however core or mandatory provision has the potential to dilute the enthusiasm or engagement in enterprise. This paper reflects on the choice to offer optional (elective) enterprise modules to STEM students at Undergraduate (level 6) and Masters level (level 7). In STEM programmes, enterprise or entrepreneurship subjects are often elective options alongside their core academic studies, with much variability in delivery methods and source materials used throughout undergraduate and postgraduate education. This means appealing to a self-selecting cohort with either interest in an alternative direction to ‘pure-science’, or individuals with an aim of creating an impact. With high levels of interaction between educators, industry case studies and learners, a dynamic learning environment is created, with positive outcomes for satisfaction and employability. A qualitative longitudinal study and ethnographic consideration of the individuals who have chosen to engage in enterprise-based elements indicates that initial exposure to curriculum-based enterprise can deepen their understanding of ideation, commercial bioscience, and innovation, leading to discipline-based recognition of value. Although a limited proportion of students go on to be entrepreneurs in the form of company founders, they often cite their enterprise education experience as impactful and frequently allude to skills or experience as intrinsic to their intrapreneurial activities and roles with the organisations they end up working with.
Magnetohydrodynamic Turbulence Simulations as a Testing Ground for PUNCH
Authors: Pecora Francesco , Yang Yan , Gibson Sarah , Viall Nicholeen M. , Chhiber Rohit , DeForest Craig , Matthaeus William H. 
Published: October 2024

AbstractThe Polarimeter to UNify the Corona and Heliosphere (PUNCH) will image macroscopic features of the inner heliosphere and also admit sufficiently high spatial resolution to probe scales of turbulence within the upper end of the inertial range, close to the integral scale. As PUNCH is an imager, its measurements will relate differently to the underlying turbulent environment of the outer corona and inner heliosphere from more familiar in situ samples. We present a numerical study that combines magnetohydrodynamic simulations of turbulence together with FORWARD-modeling synthesis of white-light data via the FORWARD code. We show that (i) the “usual” turbulence scalings are modified by the integration along the LOS in an optically thin medium, and (ii) those scalings are still linked to the original properties of the turbulent field. This study is a first step in the process of analyzing and understanding the unprecedented information that PUNCH will provide.
Composition and Mineralogy of Nuclei Material of Short Period Comets Revealed by Recent Spacecraft Missions
Authors: Zolensky Michael , Engrand Cecile , Nakamura Tomoki , Ebel Denton 
Published: October 2024

AbstractWe summarize mineralogical and compositional results from lab and in-situ spacecraft investigations of samples of comets 81P/Wild 2 and 67P/Churyumov-Gerasimenko which provide constraints to early solar system evolution. Wild 2 cometary solids were mineralogically similar to anhydrous chondritic Interplanetary Dust Particles with the exception that GEMS have not between reliably reported in the former. Important similarities include the very wide range of olivine and pyroxene bulk compositions (including minor elements), which probably reflects a wide range of sampled grain formation environments. The abundance of presolar materials in the Wild 2 samples is also approximately equal to that in anhydrous chondritic Interplanetary Dust Particles rather than being dramatically higher. High-temperature aggregates including chondrules (mainly type II), CAI and AOAs are also present in Wild 2, but probably at less than 10% overall total abundance. There was a pre-mission expectation that comet solids would be dominated by either non-crystalline materials, nanoscale crystalline materials, or presolar grains. None of these expectations proved to be correct. Organic matter was only well preserved in a few examined samples. These exhibit complex organic bonds, including mainly alkenes, aromatic C = C and carboxyl C = O, in a variety of textures including nanoglobules. The organic matter in Wild 2 samples show spectral similarities with that of insoluble organic matter (IOM) from carbonaceous chondrites. The chronology of the collected solids has not been well established, but there is no evidence for captured live 26Al, which could indicate accretion after this nuclide had effectively completely decayed. The implications of these major results are that Wild 2 sampled widely across the entire solar nebula, much wider than any other known astromaterials, potentially at a relatively late time compared to the oldest available astromaterials. A final caution is that the captured Wild 2 materials described here possibly derived from a small number of interior regions of a single Jupiter Family comet. There is also limited mineralogical information from comet 67P provided by the Rosetta Mission. The investigated 67P dust particles also contained about 45 weight% of solid organic matter, and is similar to the IOM extracted from carbonaceous chondrites. The H/C ratio of 67P IOM is about twice that of most carbonaceous chondrite IOMs and about 5 times that measured in asteroid Ryugu whole-rock samples, but lower than the H/C ratio of volatile species measured in the 67P coma. This high H/C ratio in the coma species is in turn compatible with that of the soluble organic matter in investigated carbonaceous chondrites such as Murchison. The average N/C ratio of 67P dust particles is about one order of magnitude lower than the solar photosphere value, but it is compatible with that of primitive carbonaceous chondrite meteorites and of Ryugu IOM.
Minimal metaphysics in moral and political philosophy
Authors: Esfeld Michael , López Cristian 
Published: October 2024

AbstractThe aim of this paper is to apply the methodology of minimal ontological commitments to moral and political philosophy. As minimal metaphysics in the philosophy of science endorses scientific realism, so we subscribe to moral realism, arguing that the presumption of liberty is the fundamental assumption defining a person. What needs to be justified then are restrictions to liberty and, in particular, the application of coercion upon persons. In examining knowledge claims about normative facts going beyond the presumption of liberty, such as, for instance, facts about a common good, we show that an ontological commitment to such normative facts is at odds with minimal metaphysics. We thus show how minimal metaphysics vindicates a Kantian deontological stance in moral and political philosophy: moral realism is limited to the obligations that follow from extending the presumption of liberty to all human beings in virtue of them being rational animals, hence to respect every person as an end in itself.
No man’s hand: artificial intelligence does not improve police report writing speed
Authors: Adams Ian T. , Barter Matt , McLean Kyle , Boehme Hunter M. , Geary Irick A. 
Published: October 2024

Abstract
Objectives
This study examines the potential of artificial intelligence (AI) to reduce the time police officers spend writing reports, a task that consumes a significant portion of their workday.

Methods
In a pre-registered randomized controlled trial, we test this claim within the patrol division of a medium-sized police department (n = 85) at the individual report level (n = 755). Analyses utilize mixed-effects regression accounting for the nested structure of report-writing.

Results
AI assistance did not significantly affect the duration of writing police reports. Alternative specifications beyond those specified in the pre-registration, including a difference-in-differences approach observing report duration over a full year (n = 6084), confirm the null findings are robust.

Conclusions
Our findings contradict marketing expectations for the effect of this technology, suggesting no time savings in report-writing can be expected when using AI-assisted report-writing. Several other potential effects remain possible and untested.