bluuebunny/crossref_metadata_2025_split huggingface dataset:
An User-Centered Evaluation of Two Socially Assistive Robots Integrated in a Retirement Home
Authors: Jerez Antonio , Iglesias Ana , Pérez-Lorenzo José Manuel , Tudela Alberto , Cruces Alejandro , Bandera Juan Pedro 
Published: September 2024

AbstractSocially assistive robots are receiving a growing interest in the health and social care sectors. They are considered a promising technology to add value to the work of caregivers, and relieve them of simple and repetitive tasks. However, these robots currently face significant difficulties when deployed in everyday scenarios due to a number of factors. Most of these factors are related to insufficient consideration of the user perspective and incorrect evaluation procedures. This paper aims to address these issues. Its objective is to analyze the long-term accessibility, usability, social acceptance and user experience for two different socially assistive robots performing the same tasks in a retirement home. The evaluation procedure is based on a framework specifically designed to consider these criteria. Collected results show that both robots received an overall positive feedback. Although the number of users participating in the evaluation was not very high, due to the chosen recruitment criteria and the period of activity of this research project, during the COVID19 pandemic, these results allow to extract relevant insights towards a meaningful use of social robots in shared social care contexts.
Stuck in the middle with you: Conceptualizing data intermediaries and data intermediation services
Authors: Schweihoff Julia , Lipovetskaja Anzelika , Jussen-Lengersdorf Ilka , Möller Frederik 
Published: September 2024

AbstractData intermediation services are a novel class of services mitigating various aspects of inter-organizational data sharing. Facilitating data intermediation services is a pivotal activity that leverages the benefits of the data economy. These services are usually provided by so-called data intermediaries, who organize data sharing between one or multiple data provider(s) and data consumer(s). Against the background of prominent legislation, these data intermediaries (e.g., data marketplaces or data trusts) receive increasing attention in research, practice, and politics. For instance, the Data Governance Act regulates data intermediation services, prompting organizations sharing data to comply with various regulations, including registration with government bodies or acquiring a trusted label. However, to date, little research has been done about the nature of data intermediation services, motivating us to tackle this issue in a two-fold strategy. First, we derive a visualization of a data intermediary and concept subsuming its potential functions. Second, we explore archetypical configurations of co-existing services of data intermediaries. With this, we contribute to understanding the data intermediaries as a concept and enrich this understanding with more detailed service configurations.
Wie entwickelt sich mathematikspezifische diagnostische Kompetenz von Studierenden des Grundschullehramts?
Authors: Dingemans Steffen 
Published: September 2024

Zusammenfassung
Der Erfolg eines individualisierten Mathematikunterrichts hängt wesentlich davon ab, dass Lehrerinnen und Lehrer den individuellen Lernstand und die Lösungswege von Kindern im Unterricht schnell und sicher diagnostizieren und daraus gezielte Hilfen und Förderansätze entwickeln können. Allerdings deuten Studien darauf hin, dass die diagnostische Kompetenz von Mathematiklehrkräften nicht ausreichend ausgebildet ist. Im Rahmen des Praxissemesters als Teil der praxisorientierten Ausbildung von angehenden Lehrkräften sollte es daher auch Ziel sein, ihre diagnostische Kompetenz fachspezifisch zu entwickeln.
Konkret wird in der zugrundeliegenden Studie untersucht, inwieweit sich die mathematikspezifische diagnostischen Kompetenz von Grundschullehramtsstudierenden im Praxissemester entwickelt. Dies beinhaltet den Vergleich der Vorbereitungsphase an der Universität mit der anschließenden Praxisphase in den Schulen. Den Kern der als mixed-method angelegten längsschnittlichen Evaluation stellen vier Videovignetten dar. Die Studierenden (N = 53) wurden in einer Online-Umfrage mit offenen Antwortformaten aufgefordert, die Lösungswege von Kindern zur Addition und Subtraktion im Zahlenraum bis 100 fachlich angemessen zu analysieren.
Die quantitative Auswertung zeigt eine signifikante Verbesserung der diagnostischen Kompetenz innerhalb der universitären Vorbereitungsphase. In der Praxisphase selbst ist allerdings eine leicht negative Entwicklung zu verzeichnen. Insgesamt kann im einjährigen Praxissemester daher lediglich eine positive Entwicklungstendenz festgestellt werden. Zudem wird die Bedeutsamkeit eines spezifischen fachdidaktischen Wissens für das Gelingen handlungsleitender Diagnostik im Fach Mathematik von den vorliegenden Ergebnissen gestützt.
Enhanced substrate suitability of autoclave-assisted acid pre-treated waste sugarcane molasses: Pre-treatment optimization, sequential nano-based detoxification strategies, and bioproduct production
Authors: Bishop Bryce D. C. , Sanusi Isaac A. , Kana Gueguim E. B. 
Published: September 2024

AbstractThis study modelled and optimised an autoclave-assisted acid pre-treatment of waste sugarcane molasses for the recovery of reducing sugar. Afterwards, the efficiency of removing 5-hydroxymethylfurfural (5-HMF), furfural, and metallic ion inhibitors from the pre-treated hydrolysate was evaluated using a nano-based adsorbent towards bioproduct production. A high coefficient of determination (R2 = 0.98) and a maximum reducing sugar concentration of 98.14 g/L were achieved under optimised conditions of 20% (w/v) substrate loading, 0.75% (v/v) sulphuric acid concentration, and 5 min autoclave duration. Furthermore, the application of nano-adsorbent (Fe3O4 nanoparticle (0.2% (w/v)) led to a reduction in 5-HMF and furfural concentrations by 29.05% and 53.53%, respectively. Additionally, the concentrations of metal ion contents (Ca, Mg, Na, and S) were reduced by 4.97%, 7.59%, 15.04%, and 7.63%, respectively. Remarkably, surface modification of Fe3O4 nanoparticle using poly (ethylene glycol) (PEG), tri sodium citrate (TSC), chitosan-coated and k-carrageenan (k-C) enhanced the removal of metal ion contents up to 42.74-fold. The potential of the optimised pre-treated and detoxified molasses for citric acid (4.04 g/L) and bioethanol production (47.93 g/L) was achieved. The high efficiencies in reducing sugar recovery, inhibitor removal, and bioproduct production demonstrate the potential of a sustainable, cost-effective, and eco-friendly molasses biorefinery concept.
Graphical Abstract
The heat is on: impact of heat waves on critical thermal maxima in larvae and adults of solitary bee Osmia bicornis (Hymenoptera: Megachilidae)
Authors: Gudowska Agnieszka , Moroń Dawid 
Published: September 2024

AbstractExtreme temperature events, such as heat waves, are increasing in frequency, magnitude, and duration. These events are believed to contribute to pollinator decline. Critical thermal maxima (CTmax) is a key physiological trait for understanding an organism’s ecology and predicting its responses to changes in climate. In this study, we investigated whether different life stages with distinct thermoregulatory behaviors differ in their CTmax in the solitary bee Osmia bicornis, one of the most common and important pollinators in Central Europe. Additionally, we tested the influence of excessively high temperatures, heat waves, on the CTmax in Osmia bicornis. We found CTmax varied among life stages, with adults exhibiting higher CTmax than larvae. Both females and males of adult bees showed a negative correlation between CTmax and body mass. Interestingly, adult bees exposed to different heat waves during their larval stage did not exhibit significant shifts in CTmax. These results suggest that bees may have limited capacity to enhance heat tolerance in response to prior heat exposure.
Diet Quality Scores, Obesity and Metabolic Syndrome in Children and Adolescents: A Systematic Review and Meta-Analysis
Authors: Larruy-García Alicia , Mahmood Lubna , Miguel-Berges María L. , Masip Guiomar , Seral-Cortés Miguel , De Miguel-Etayo Pilar , Moreno Luis A. 
Published: September 2024

Abstract
Purpose of Review
We aimed to examine the relationship between various diet quality scores and obesity and Metabolic Syndrome (MetS) in children and adolescents.

Recent Findings
Obesity and MetS, which increase the risk of type 2 diabetes and cardiovascular disease from childhood through adolescence, have been associated with adherence to various diet quality scores.

Summary
A systematic search was performed in PubMed/Medline, Scopus, SciELO, Embase, and Cochrane, covering the period until March 2024. Two researchers evaluated 3,519 studies according to the inclusion criteria. Finally, 73 articles that analysed the relationship between diet quality scores and obesity and MetS were included, and 6 of them were included in a meta-analysis. Children younger than 12 years old showed statistically significant differences indicating a higher Mediterranean diet (MD) score adherence compared to those with a low score adherence for BMI (MD = 0.33 kg/m2, 95% CI: 0.01, 0.64) and WC values (MD = 1.21 cm, 95% CI: 0.50, 1.93). Additionally, in the meta-regression analysis, boys showed stronger associations for BMI, z-score BMI and WC (β = 19.82, 95% CI: 17.62, 22.03, β = 0.64, 95% CI: 0.33, 0.96 and β = 67.03, 95% CI: 57.29, 76.77, respectively). Studies in this review suggest an association between high adherence to different diet quality scores and low BMI. Meta-analysis assessing the association between adherence to the MD and BMI, and WC, showed a protective effect of the MD pattern against obesity outcomes. This systematic review and meta-analyses provided evidence on the effect of the diet quality on obesity and MetS in children and adolescents.
A “bricks-and-mortar” structured graphene oxide/polyvinyl alcohol coating: enhanced water interfacial lubrication and durability
Authors: Li Hanglin , Ding Lin , Zhang Jingchun , Guo Zhaoyang , Shang Yazhuo , Liu Honglai , Zeng Xiangqiong , Li Jiusheng 
Published: September 2024

AbstractCoatings serve as ideal protective films for mechanical systems, providing dependable as well as efficient lubrication because of their unique structure along with outstanding tribological characteristics. Inspired by the “bricks-and-mortar” structure, we prepared layered graphene oxide (GO) composite finishes strengthened with polyvinyl alcohol (PVA) and borax. Our study demonstrates that the tribological properties of the GO-based coating on 304 stainless steel (SS304) are potentially greatly affected through PVA, GO, and annealing. By optimizing the composition, we achieved the PVA40 wt%/GO0.01 wt%/borax composite coating, which exhibited the lowest average coefficient of friction (COF) of 0.021±0.003 (a 97.86% reduction compared to control SS304) with minimal wear and abrasion even in a water environment. We found that the enhanced mechanical characteristics as well as elastic recovery within the coating were attributed to the hydrogen bonds and cross-linking between PVA and borax, which led to stress distribution. Reduced friction was further aided by the formation of a hydrated layer at the friction interface. As a result, the coating demonstrated remarkable durability, maintaining a low COF during long sliding distances (576 m, 28,800 cycles, significantly longer than previously reported) without breaking.
The Effect of Gambling Outcomes on Casino Return Times with Scalable DDC
Authors: Taylor Wayne , Bodapati Anand 
Published: September 2024

Abstract
Enabled by modern interaction-logging technologies, managers increasingly have access to outcome data from customer interactions. We consider the direct marketing targeting problem in situations where 1) the customer’s outcomes vary randomly and independently from occasion to occasion, 2) the firm has measures of the outcomes experienced by each customer on each occasion, and 3) the firm can customize marketing according to these measures and the customer’s behaviors. A primary contribution of this paper is a framework and methodology to use data on customer outcome data to model a customer’s evolving beliefs related to the firm and how these beliefs combine with marketing to influence purchase behavior. Thereby, this paper allows the manager to assess the marketing response of a customer with any specific outcome and behavior history, which in turn can be used to decide which customers to target for marketing. This research develops a novel, tractable way to estimate and introduce flexible heterogeneity distributions into Bayesian dynamic discrete choice learning models on large datasets. The model is estimated using data from the casino industry, an industry which generates more than $60 billion in U.S. revenues but has surprisingly little academic, econometric research. The counterfactuals suggest that casino profitability can increase substantially when marketing incorporates gamblers’ beliefs and past outcome sequences into the targeting decision.
Defects-Rich Heterostructures Trigger Strong Polarization Coupling in Sulfides/Carbon Composites with Robust Electromagnetic Wave Absorption
Authors: Liu Jiaolong , Zhang Siyu , Qu Dan , Zhou Xuejiao , Yin Moxuan , Wang Chenxuan , Zhang Xuelin , Li Sichen , Zhang Peijun , Zhou Yuqi , Tao Kai , Li Mengyang , Wei Bing , Wu Hongjing 
Published: September 2024

AbstractDefects-rich heterointerfaces integrated with adjustable crystalline phases and atom vacancies, as well as veiled dielectric-responsive character, are instrumental in electromagnetic dissipation. Conventional methods, however, constrain their delicate constructions. Herein, an innovative alternative is proposed: carrageenan-assistant cations-regulated (CACR) strategy, which induces a series of sulfides nanoparticles rooted in situ on the surface of carbon matrix. This unique configuration originates from strategic vacancy formation energy of sulfides and strong sulfides-carbon support interaction, benefiting the delicate construction of defects-rich heterostructures in MxSy/carbon composites (M-CAs). Impressively, these generated sulfur vacancies are firstly found to strengthen electron accumulation/consumption ability at heterointerfaces and, simultaneously, induct local asymmetry of electronic structure to evoke large dipole moment, ultimately leading to polarization coupling, i.e., defect-type interfacial polarization. Such “Janus effect” (Janus effect means versatility, as in the Greek two-headed Janus) of interfacial sulfur vacancies is intuitively confirmed by both theoretical and experimental investigations for the first time. Consequently, the sulfur vacancies-rich heterostructured Co/Ni-CAs displays broad absorption bandwidth of 6.76 GHz at only 1.8 mm, compared to sulfur vacancies-free CAs without any dielectric response. Harnessing defects-rich heterostructures, this one-pot CACR strategy may steer the design and development of advanced nanomaterials, boosting functionality across diverse application domains beyond electromagnetic response.
Weyl chamber length compactification of the
$\textrm{PSL}(2,{\mathbb{R}})\times \textrm{PSL}(2,{\mathbb{R}})$
maximal character variety
Authors: Burger Marc , Iozzi Alessandra , Parreau Anne , Pozzetti Maria Beatrice 
Published: September 2024

AbstractWe study the vectorial length compactification of the space of conjugacy classes of maximal representations of the fundamental group
$\Gamma$
of a closed hyperbolic surface
$\Sigma$
in
$\textrm{PSL}(2,{\mathbb{R}})^n$
. We identify the boundary with the sphere
${\mathbb{P}}(({\mathcal{ML}})^n)$
, where
$\mathcal{ML}$
is the space of measured geodesic laminations on
$\Sigma$
. In the case
$n=2$
, we give a geometric interpretation of the boundary as the space of homothety classes of
${\mathbb{R}}^2$
-mixed structures on
$\Sigma$
. We associate to such a structure a dual tree-graded space endowed with an
${\mathbb{R}}_+^2$
-valued metric, which we show to be universal with respect to actions on products of two
$\mathbb{R}$
-trees with the given length spectrum.
Validation of the imperial psychedelic predictor scale
Authors: Angyus Michael , Osborn Sarah , Haijen Eline , Erritzoe David , Peill Joseph , Lyons Taylor , Kettner Hannes , Carhart-Harris Robin 
Published: September 2024

AbstractBackgroundAccess to psychedelic drugs is liberalizing, yet responses are highly unpredictable. It is therefore imperative that we improve our ability to predict the nature of the acute psychedelic experience to improve safety and optimize potential therapeutic outcomes. This study sought to validate the ‘Imperial Psychedelic Predictor Scale’ (IPPS), a short, widely applicable, prospective measure intended to be predictive of salient dimensions of the psychedelic experience.MethodsUsing four independent datasets in which the IPPS was completed prospectively – two online surveys of ‘naturalistic’ use (N = 741, N = 836) and two controlled administration datasets (N = 30, N = 28) – we conducted factor analysis, regression, and correlation analyses to assess the construct, predictive, and convergent validity of the IPPS.ResultsOur approach produced a 9-item scale with good internal consistency (Cronbach's α = 0.8) containing three factors: set, rapport, and intention. The IPPS was significantly predictive of ‘mystical’, ‘challenging’, and ‘emotional breakthrough’ experiences. In a controlled administration dataset (N = 28), multiple regression found set and rapport explaining 40% of variance in mystical experience, and simple regression found set explained 16% of variance in challenging experience. In another (N = 30), rapport was related to emotional breakthrough explaining 9% of variance.ConclusionsTogether, these data suggest that the IPPS is predictive of relevant acute features of the psychedelic experience in a broad range of contexts. We hope that this brief 9-item scale will be widely adopted for improved knowledge of psychedelic preparedness in controlled settings and beyond.
Short-run fluctuations and long-run growth with recursive preferences
Authors: Annicchiarico Barbara , Pelloni Alessandra , Valenti Fabrizio 
Published: September 2024

Abstract
What is the relationship between short-run fluctuations in economic activity and the long-run evolution of the economy? There is empirical evidence that more perturbed economies tend to grow less. Yet matching this evidence has proven challenging for growth models without market failures. This paper examines the relationship between short-term fluctuations and long-term growth within a complete-market economy featuring Epstein-Zin preferences and unbounded growth driven by human and physical capital accumulation. With these preferences, risk aversion and intertemporal elasticity of substitution are allowed to be independent of each other. When the model is plausibly calibrated, the relationship between the mean and variance of growth turns out to be negative. In most cases, the effect of fluctuations on welfare is found to be negative and sizable, even when the long-run effect on growth is positive.
The Geography of Health: Onshoring Pharmaceutical Manufacturing to Address Supply Chain Challenges
Authors: Mitchell Andrew D. 
Published: September 2024

AbstractThis article examines shifts towards onshoring pharmaceutical manufacturing, a response to the vulnerabilities exposed by the COVID-19 pandemic in global supply chains. It delves into how globalization, public policy, and geopolitical tensions have shaped pharmaceutical markets, compelling nations to seek solutions that ensure reliable medicine access and reduce dependency on foreign supplies. The study highlights disparities in regulatory oversight and geographic concentration of production, which contribute to frequent shortages, particularly of generic medicines. The pandemic intensified these issues, prompting increased state interventions and heightening concerns over geopolitical risks. As a result, onshoring efforts, often encapsulated in local content measures, have expanded, and are now driven by both economic motives and imperatives of national security and public health.
Exploring the contribution of cancer palliative care development toward alleviating the human crisis of suffering in low- and middle-income countries: A framework synthesis protocol
Authors: Atreya Shrikant , Rao Arathi , Dhyani Vijay Shree , Mathew Mebin , Gursahani Roop , Simha Srinagesh , Preston Nancy , Walshe Catherine , Salins Naveen 
Published: September 2024

AbstractObjectivesInadequate access to cancer care, high mortality, and out-of-pocket expenditure contribute to health-related suffering in low- and middle-income countries, making palliative care a relevant option. How palliative care development has alleviated suffering is not systematically studied, necessitating this review’s conduct. The objective of this systematic review with a framework synthesis approach is to identify and map the dimensions and indicators of cancer palliative care development and the components of integration between cancer and palliative care in LMICs.MethodsUni- and multi-disciplinary databases like Cochrane, MEDLINE (PubMed), EMBASE, CINAHL Complete, and PsycINFO will be systematically searched for eligible studies exploring cancer palliative care development in LMICs and their contribution to alleviating health-related suffering in the cancer context. Our selection process will encompass countries classified by the World Bank as low-income (26 countries), lower-income (54 countries), and upper-middle-income (54 countries).ResultsReview findings will be synthesised and analysed using a best-fit framework synthesis method using 2 frameworks (the WHO model of components and indicators for palliative care development and integration elements between oncology and palliative care), and the findings will be developed as themes and subthemes, and patterns interpreted using these 2 models.Significance of resultsThis review will analyse the development of cancer palliative care in LMICs. It will identify gaps in provision, solutions derived at the regional level to address them, and best practices and failed models with reasons underpinning them.
“It’s not a one-person show” E-learning course in neuropalliative care: A qualitative analysis of participants’ educational gains and self-reported outcomes
Authors: Bublitz Sarah K. , Lugassy Mara , Gursahani Roop , Lau Winnie , DeSanto-Madeya Susan , Besbris Jessica , Kramer Neha M. , Rhee John Y. , Rao Seema R. , Rao Krithika S. , Salins Naveen , Paal Piret 
Published: September 2024

AbstractObjectivesPatients with progressive neurologic illness still lack access to quality palliative care services. Barriers to the comprehensive provision of neuropalliative care include gaps in palliative care education. To address this barrier, a novel international model of neuropalliative care education e-learning program was launched in 2022.MethodsThis is a qualitative study on the self-reported learning outcomes and educational gains of participants of a neuropalliative care e-learning course.ResultsThematic analysis shows changes in the participants’ perceptions of neuropalliative care and several specific educational gains. After attending the course, participants recognized neuropalliative care as a multiprofessional and interdisciplinary effort requiring more than medical knowledge and disease-specific treatment skills. They gained understanding of the complexity of prognosis in neurological diseases, as well as ethical concepts as the basis to approach difficult decisions. Valuing the needs of patients and caregivers, as well as honest and open communication were recognized as key components of the caring process. In particular, providing emotional support and building relationships to enhance the spiritual component of care were avidly discussed as essential nonmedical treatment options.Significance of resultsE-learning courses are helping to close the gaps in healthcare professionals’ knowledge and skills about neuropalliative care.