bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can 5 Minutes of Finger Actions Boost Creative Incubation?
Authors: Christensen Julia F. , Muralikrishnan R. , Münzberg Marco , Castaño Manias Bilquis , Khorsandi Shahrzad , Vessel Edward A. 
Published: September 2024

AbstractPrevious studies suggest that the activation of the motor system – either via action, motor imagery, or brain stimulation – may increase subsequent performance on divergent thinking tasks (e.g., the alternate uses task; AUT). We tested this idea in a within-subjects design by administering the AUT using four different target objects and four different 5-min incubation tasks that differed in terms of arm and finger movements. In between-subjects designs, 0-back incubation has been shown to yield more creative responses than rest. Additionally, we included two new incubations that both involved arm actions, but differed in the amount of finger actions (Iranian dance, ballet dance). Incubation tasks involving finger actions (Iranian dance, 0-back) were predicted to increase creativity for objects that are typically manipulated with the fingers. There was a main effect of object. Alternate uses given to the paperclip were rated as more creative than those given to the other objects. With our within-subjects design, we could not replicate the previously described difference between 0-back and rest incubations. However, hypothesis-driven comparisons showed that, although the interaction of object and incubation was not significant, Iranian dance yielded more creative usages for paperclip than for sheet of paper, cup and brick, and all other incubations yielded more creative usages for paperclip than for brick. Iranian dance also generated marginally more creative usages than ballet. Our results suggest that if the hypothesized effects exist, they are likely to be small. Overall, AUT performance seems more influenced by the AUT object than by type of incubation.
Maximal co-ancillarity and maximal co-sufficiency
Authors: Battey H. S. 
Published: September 2024

AbstractThe purpose of this exposition is to provide some new perspectives on conditional inference through a notional idealised separation within the minimal sufficient statistic, allowing a geometric account of key ideas from the Fisherian position. The notional idealised separation, in terms of an ancillary statistic and what I call a maximal co-ancillary statistic, provides conceptual insight and clarifies what is sought from an approximate conditional analysis, where exact calculations may not be available. A parallel framework applies in the Fisherian assessment of model adequacy. Both aspects are discussed and illustrated geometrically through examples.
Quantum visual feature encoding revisited
Authors: Nguyen Xuan-Bac , Nguyen Hoang-Quan , Churchill Hugh , Khan Samee U. , Luu Khoa 
Published: September 2024

AbstractAlthough quantum machine learning has been introduced for a while, its applications in computer vision are still limited. This paper, therefore, revisits the quantum visual encoding strategies, the initial step in quantum machine learning. Investigating the root cause, we uncover that the existing quantum encoding design fails to ensure information preservation of the visual features after the encoding process, thus complicating the learning process of the quantum machine learning models. In particular, the problem, termed the “Quantum Information Gap” (QIG), leads to an information gap between classical and corresponding quantum features. We provide theoretical proof and practical examples with visualization for that found and underscore the significance of QIG, as it directly impacts the performance of quantum machine learning algorithms. To tackle this challenge, we introduce a simple but efficient new loss function named Quantum Information Preserving (QIP) to minimize this gap, resulting in enhanced performance of quantum machine learning algorithms. Extensive experiments validate the effectiveness of our approach, showcasing superior performance compared to current methodologies and consistently achieving state-of-the-art results in quantum modeling.
The moderating role of human capital training and development in the relationship between smart administrative governance, smart technical governance, and sustainable development in Saudi non-profit institutions
Authors: Al-Mekhlafi Abdul-Wasea Abdul-Ghani Saif , Al-Mekhlafi Hameed Abdul-Ghani , Al-Kahtani Shaker M. , Abdelmahmod Murtada Khalid Abdalla 
Published: September 2024

AbstractThe purpose of this study is to investigate whether smart administrative governance (SAG) and smart technical governance (STG) affect sustainable development (SD). Importantly, it explores the moderating effect of human capital training and development (HCTD) on the relationship of SAG and STG to SD. To this end, data was gathered from a sample of 318 respondents from Nonprofit organizations in Saudi Arabia and analyzed using PLS-SEM via SmartPLS. The findings demonstrated that SAG positively affects SD, while STG has no effect on SD. Moreover, HCTD directly and favorably affects SD. Importantly, HCTD negatively moderates the relationship between STG and SD. In contrast, HCTD does not moderate the relationship between STG and SD. Overall, this study contributes to the literature by providing a nuanced understanding of how to enhance SD in nonprofit organizations by highlighting the distinct roles of SAG and STG. Hence, this study enriches the literature on governance and sustainability and has implications for both practitioners and policymakers.
Accumulated melanin in molds provides wavelength-dependent UV tolerance
Authors: Onoda Yushi , Nagahashi Miharu , Yamashita Michiyo , Fukushima Shiho , Aizawa Toshihiko , Yamauchi Shigeharu , Fujikawa Yasuo , Tanaka Tomotake , Kadomura-Ishikawa Yasuko , Ishida Kai , Uebanso Takashi , Mawatari Kazuaki , Blatchley Ernest R. , Takahashi Akira 
Published: September 2024

AbstractFungal contamination poses a serious threat to public health and food safety because molds can grow under stressful conditions through melanin accumulation. Although ultraviolet (UV) irradiation is popular for inhibiting microorganisms, its effectiveness is limited by our insufficient knowledge about UV tolerance in melanin-accumulating molds. In this study, we first confirmed the protective effect of melanin by evaluating the UV sensitivity of young and mature spores. Additionally, we compared UV sensitivity between spores with accumulated melanin and spores prepared with melanin biosynthesis inhibitors. We found that mature spores were less UV-sensitive than young spores, and that reduced melanin accumulation by inhibitors led to reduced UV sensitivity. These results suggest that melanin protects cells against UV irradiation. To determine the most effective wavelength for inhibition, we evaluated the wavelength dependence of UV tolerance in a yeast (Rhodotorula mucilaginosa) and in molds (Aspergillus fumigatus, Cladosporium halotolerans, Cladosporium sphaerospermum, Aspergillus brasiliensis, Penicillium roqueforti, and Botrytis cinerea). We assessed UV tolerance using a UV-light emitting diode (LED) irradiation system with 13 wavelength-ranked LEDs between 250 and 365 nm, a krypton chlorine (KrCl) excimer lamp device, and a low pressure (LP) Hg lamp device. The inhibition of fungi peaked at around 270 nm, and most molds showed reduced UV sensitivity at shorter wavelengths as they accumulated pigment. Absorption spectra of the pigments showed greater absorption at shorter wavelengths, suggesting greater UV protection at these wavelengths. These results will assist in the development of fungal disinfection systems using UV, such as closed systems of air and water purification.
Graphical abstract
Characterizations and soft star-operations of soft fractional ideals on integral domains
Authors: Sikander Fahad , Mir Tasaduk Rashid , Abbasi M. Yahya 
Published: September 2024

AbstractThe Molodtsov-conceived concept of soft sets provides a robust mathematical approach for managing uncertainty. This study explores the positive outcomes resulting from the application of soft set theory techniques, paving the way for innovative research methodologies in soft multiplicative ideal theory. The paper delves into the operations that lead to themselves within the realm of undeniable soft fractional ideals. Introducing the notion of soft star-ideals, we illustrate the construction of a complete lattice derived from the collection of all soft star-operations on integral domains. Furthermore, we provide characterizations for pseudo-principal domains, principal ideal domains, and greatest common divisor domains in relation to soft star-operations of undeniable soft fractional ideals.
Insulator Defect Detection Based on the CDDCR–YOLOv8 Algorithm
Authors: Jiang Tingyao , Hou Xuan , Wang Min 
Published: September 2024

AbstractInsulator defect detection is a critical aspect of grid inspection in reality, yet it faces intricate environmental challenges, such as slow detection speed and low accuracy. To address this issue, we propose a YOLOv8-based insulator defect detection algorithm named CDDCR–YOLOv8. This algorithm divides the input insulator images into multiple grid cells, with each grid cell responsible for predicting the presence and positional information of one or more targets. First, we introduce the Coordinate Attention (CA) mechanism module into the backbone network and replace the original C2f module with the enhanced C2f_DCN module. Second, improvements are made to the original upsampling and downsampling layers in the neck network, along with the introduction of the lightweight module RepGhost. Finally, we employ Wise-IoU (WIoU) to replace the original CIoU as the loss function for network regression. Experimental results demonstrate that the improved algorithm achieves an average precision mean (mAP @ 0.5) of 97.5% and 90.6% on the CPLID and IPLID data sets, respectively, with a frame per second (FPS) of 84, achieving comprehensive synchronous improvement. Compared to traditional algorithms, our algorithm exhibits significant performance enhancement.
Investigating the Role of Political Messaging on Preferences for Local Food Products in the United States
Authors: Liu Jianhui , Kassas Bachir , Lai John 
Published: September 2024

AbstractThis study investigates whether wording a promotional marketing message as originating from the US government vs. the US president impacts consumers’ responsiveness to the message. Using a discrete choice experiment, it examines consumer responsiveness to President Biden’s order promoting domestic production. Results indicate that consumers are willing to pay a premium for domestically produced tomatoes, with variations based on political affiliations and product attributes like organic labeling and farm employment practices. However, findings on the significance of information treatment effects are mixed, suggesting that consumer responsiveness is unaffected by wording the message as originating from a broad political body vs. a specific politician.
Regression with Archaeological Count Data
Authors: Codding Brian F. , Brewer Simon C. 
Published: September 2024

AbstractArchaeological data often come in the form of counts. Understanding why counts of artifacts, subsistence remains, or features vary across time and space is central to archaeological inquiry. A central statistical method to model such variation is through regression, yet despite sophisticated advances in computational approaches to archaeology, practitioners do not have a standard approach for building, validating, or interpreting the results of count regression. Drawing on advances in ecology, we outline a framework for evaluating regressions with archaeological count data that includes suggestions for model fitting, diagnostics, and interpreting results. We hope these suggestions provide a foundation for advancing regression with archaeological count data to further our understanding of the past.
A non-linear unsteady vortex-lattice method for rotorcraft applications
Authors: Cocco A. , Savino A. , Colli A. , Masarati P. , Zanotti A. 
Published: September 2024

AbstractThe present work aims to extend the capabilities of DUST, a mid-fidelity aerodynamic solver developed at Politecnico di Milano, for the aerodynamic simulation of rotorcraft applications. With this aim, a numerical element was implemented in the solver obtained by a coupling between the potential unsteady vortex lattice method and viscous aerodynamic data of aerofoil sections available from two-dimensional high-fidelity computational fluid dynamics (CFD) simulations or experimental wind-tunnel tests. The paper describes the mathematical formulation of the method as well as a validation of the implementation performed by comparison with both high-fidelity CFD simulation results and experimental data obtained over aerodynamics and aeroelastic fixed-wing benchmarks. Then, the method was used for the evaluation of the aerodynamic performance of two rotorcraft test cases, i.e. the full-scale proprotor of the XV-15 tiltrotor operating in different flight conditions and two propellers in tandem with overlapping disks. Simulation results comparison with high-fidelity CFD and data from wind tunnel tests highlighted the potentialities and advantages of the implemented approach to be used for the design and investigation of rotorcraft configurations characterised by consistent viscosity effects.
Optimal avoidance strategy based on nonlinear approximate analytic solution of non-cooperative differential game
Authors: Zhao S.J. , Zhang H.R. , Lyu R. , Yang J. , Xue C.C. 
Published: September 2024

AbstractThis study examines the pursuit-evasion game involving unmanned aerial vehicles (UAVs), with a specific focus on the scenario of N-pursuers-one-escapee. The primary objective is to develop an optimal strategy for the escapee when the pursuers possess superior capabilities. To obtain this objective, we conduct the following study. Firstly, to enhance realism, a non-cooperative differential game model is formulated, incorporating multiple motion characteristics, including aerodynamics, overloading, and imposed constraints. Secondly, the end-value performance index is subsequently converted to an integral one, simplifying the solution process of the Hamilton-Jacobi-Bellman (HJB) equation. An iterative method is utilised to determine the covariates using the Cauchy initial value problem, and its convergence and uniqueness are established. The optimal avoidance strategy is subsequently derived from the covariates. Finally, the superiority of the proposed strategy is validated through simulation experiments and compared to three advanced optimal avoidance strategies. A total of 1,000 anti-jamming simulation experiments are conducted to verify the robustness of the proposed strategy.
Child growth and refugee status: evidence from Syrian migrants in Turkey
Authors: Demirci Murat , Foster Andrew D. , Kırdar Murat G. 
Published: September 2024

AbstractThis study examines disparities in health and nutrition among native and Syrian refugee children in Turkey. To understand the need for targeted programs addressing child well-being among the refugee population, we analyze the Turkey Demographic and Health Survey (TDHS) – which provides representative data for a large refugee and native population. We find no evidence of a difference in infant or child mortality between refugee children born in Turkey and native children. However, refugee infants born in Turkey have lower birthweight and age-adjusted weight and height than native infants. When we account for a rich set of birth and socioeconomic characteristics that display substantial differences between natives and refugees, the gaps in birthweight and age-adjusted height persist, but the gap in age-adjusted weight disappears. Moreover, the remaining gaps in birthweight and anthropometric outcomes are limited to the lower end of the distribution. The observed gaps are even larger for refugee infants born before migrating to Turkey, suggesting that the remaining deficits reflect conditions in the source country before migration rather than deficits in access to health services within Turkey. Finally, comparing children by the country of their first trimester, we find evidence of the detrimental effects of stress exposure during pregnancy.
Selecting only the best and brightest? An assessment of migration policy selectivity and its effectiveness
Authors: Rayp Glenn , Ruyssen Ilse , Standaert Samuel 
Published: September 2024

AbstractThis paper introduces a new set of comprehensive and cross-country-comparable indexes of migration policy selectivity. Crucially, these reflect the multidimensional nature of the differential treatment of migrants. We use these indexes to study the evolution of migration policy selectivity and estimate how they affect migration flows. Combining all publicly available and relevant data since WWII, we build three composite indexes that identify selectivity in terms of skills, economic resources and nationality. First, we use these to characterize migration policies in 42 countries between 1990 and 2014. Second, we examine the relationship between the selectivity of migration policy and migration flows. Each of the three dimensions of migration policy is found to correlate strongly and significantly with both the size and structure of migration flows.
The Effect of Health-Related Media Messages on Fear and Uncertainty about the COVID-19 Pandemic
Authors: Çal Ayşe , Kabataş Yıldız Mukerrem , Aydın Avci İlknur 
Published: September 2024

Abstract

Objective
This study was conducted to investigate individuals’ perceptions of media messages about the COVID-19 pandemic and the effect of these messages on their fear and uncertainty.

Methods
Data for this descriptive correlational study were collected between October and November 2020. A total of 653 individuals living in Turkey provided online survey data by completing a Personal Information Form, the Pandemic Uncertainty Scale, and the COVID-19 Pandemic Fear Scale.

Results
The mean age of the participants was 52.1 ± 12.6, and 79.9% were female. It was found that 27.9% of participants “always” followed COVID-19 news in the media, and 41.3% “often” followed COVID-19-related news. Participants’ COVID-19 fear (24.46 ± 8.07) and uncertainty (55.35 ± 8.63) scores were moderate and correlated.

Conclusions
Level of trust in mass media was found to affect uncertainty about the pandemic. As level of trust in mass media increased, uncertainty about the pandemic decreased. Appropriate measures must be identified and adopted for effective and safe media use in situations posing massive and significant health threats such as COVID-19.
Decision Making in a Strategic Medical Command and Control Team During the Covid-19 Pandemic: A Case Study
Authors: Pettersson Jenny , Prytz Erik , Friberg Marc , Björnqvist Anton , Berggren Peter , Frisk Jessica , Jonson Carl-Oscar 
Published: September 2024

Abstract

Objective
To achieve resilience in the response of a major incident, it is essential to coordinate major processes and resources with the aim to manage expected and unexpected changes. The coordination is partly done through timely, adequate, and resilience-oriented decisions. Accordingly, the aim of the present paper is to describe factors that affected decision-making in a medical command and control team during the early COVID-19 pandemic.

Methods
This study used a qualitative method in which 13 individuals from a regional public healthcare system involved in COVID-19 related command and control were interviewed. Data was collected through semi-structured interviews and analyzed using qualitative content analysis.

Results
The factors affecting decision-making in medical command and control during early COVID-19 pandemic were grouped into 5 themes: organization, adaptation, making decisions, and analysis, as well as common operational picture.

Conclusions
The present study indicated that decision-making in medical command and control faces many challenges in the response to pandemics. The results may provide knowledge about disaster resilience and can be utilized in educational and training settings for medical command and control.
Safeguarding Patients with End-Stage Kidney Disease From Climate-driven Extreme Heat and Hurricanes
Authors: Shakour Rebecca L. , Mithani Zain , Kopp Jeffrey B. , Shepherd J. Marshall , Nogueira Leticia M. , Espinel Zelde , Shultz James M. 
Published: September 2024

Abstract
5wPatients with end stage kidney disease (ESKD) who receive in-center hemodialysis are disproportionately vulnerable to extreme weather events, including hurricanes and heat waves, that may disrupt access to healthcare providers, and life-sustaining treatments. This current era of climate-driven compounding disasters is progressively elevating the level of threat to the health and well-being of patients with ESKD. This analysis brings together multi-disciplinary expertise to explore the contours of this increasingly complex risk landscape. Despite the challenges, important advances have been made for safeguarding this medically high-risk patient population. Hemodialysis services providers have devised innovative systems for preparing their patients and sustaining, or rapidly reestablishing, hemodialysis services in the aftermath of a disaster, and maintaining open lines of communication with their caseloads of ESKD patients throughout all phases of the event. A description of lessons learned along the path towards improved patient support in disasters, is provided. The article concludes with a detailed case example, describing dialysis providers’ effective response throughout Hurricane Ian’s passage across the State of Florida in 2022. Based on lessons learned, this analysis outlines strategies for protecting patients with ESKD that may be adapted for future climate-potentiated disaster scenarios.
Non-concentration property of Patterson–Sullivan measures for Anosov subgroups
Authors: KIM DONGRYUL M. , OH HEE 
Published: September 2024

AbstractLet G be a connected semisimple real algebraic group. For a Zariski dense Anosov subgroup
$\Gamma <G$
with respect to a parabolic subgroup
$P_\theta $
, we prove that any
$\Gamma $
-Patterson–Sullivan measure charges no mass on any proper subvariety of
$G/P_\theta $
. More generally, we prove that for a Zariski dense
$\theta $
-transverse subgroup
$\Gamma <G$
, any
$(\Gamma , \psi )$
-Patterson–Sullivan measure charges no mass on any proper subvariety of
$G/P_\theta $
, provided the
$\psi $
-Poincaré series of
$\Gamma $
diverges at its abscissa of convergence. In particular, our result also applies to relatively Anosov subgroups.