bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a Child-Informed Measure of Subjective Well-Being for Research on Residential Care Institutions and Their Alternatives in Low- and Middle-Income Countries
Authors: Neville Sarah Elizabeth , Wakia Joanna , Hembling John , Bradford Beth , Saran Indrani , Lombe Margaret , Crea Thomas M. 
Published: April 2024

Abstract10% of children worldwide live in households without a biological parent, and 5.4 million children live in residential care institutions. This study describes a participatory, child-informed process of developing a multidimensional measure of child subjective well-being tailored towards the priorities of children who have lived in residential care. Eight focus groups were held with n = 49 adolescents reunified with family after living in residential care in Kenya and Guatemala and six focus groups were held with n = 29 young adults who had lived in residential care during childhood. After analysis of the focus groups, and using the Orphans and Vulnerable Children Wellbeing Tool as a foundation, the resulting tool contained 43 survey questions. Member checking, translation, and cognitive interviewing were conducted. The survey was administered to N = 180 young people in Kenya and Guatemala who were reunified with family after living in residential care or at risk of entering residential care. Exploratory factor analysis indicated that the measure had three salient factors with good convergent validity and internal consistency: care and safety (12 items), basic needs (13 items), and leisure and freedom (7 items). This study contributes a new, psychometrically validated survey measure that can be used to assess the well-being of children connected to residential care, as well as a replicable model for creating contextualized quantitative measures via child participation that can inform policymaking on children’s care in low- and middle-income countries.
Do Parental Hormone Levels Synchronize During the Prenatal and Postpartum Periods? A Systematic Review
Authors: Daneshnia Negin , Chechko Natalia , Nehls Susanne 
Published: April 2024

AbstractPhysiological synchrony is the phenomenon of linked physiological processes among two or more individuals. Evidence of linkage between dyads has been found among a broad range of physiological indices, including the endocrine systems. During the transition to parenthood, both men and women undergo hormonal changes that facilitate parenting behavior. The present review sought to address the question as to whether hormonal synchronization occurs among expecting or new parents. A systematic literature search yielded 13 eligible records. The evidence of cortisol synchrony during the prenatal period, with additional testosterone, prolactin, and progesterone covariations in the time leading up to childbirth, was found to be most significant. During the postpartum period, parental synchrony was reported for oxytocin, testosterone, and cortisol levels. The implications of these covariations were found to translate into adaptive parenting behaviors and the facilitation of romantic bond. Associations with infant development were also reported, suggesting far-reaching effects of hormonal synchrony outside the parental dyad. The results highlight the importance of physiological interrelatedness during this sensitive period, underscoring the need for further research in this field. In view of the limited data available in this research domain, we have put forward a framework for future studies, recommending the adoption of standardized research protocols and repeated collections of specimens.
The Importance of Practicing at Home During and Following Cognitive Behavioral Therapy for Childhood Anxiety Disorders: A Conceptual Review and New Directions to Enhance Homework Using Mhealth Technology
Authors: Klein Anke M. , Hagen Annelieke , Mobach Lynn , Zimmermann Robin , Baartmans Jeanine M. D. , Rahemenia Jasmin , de Gier Erwin , Schneider Silvia , Ollendick Thomas H. 
Published: April 2024

AbstractPracticing newly acquired skills in different contexts is considered a crucial aspect of Cognitive Behavioral Therapy (CBT) for anxiety disorders (Peris et al. J Am Acad Child Adolesc Psychiatry 56:1043–1052, 2017; Stewart et al. Prof Psychol Res Pract 47:303–311, 2016). Learning to cope with feared stimuli in different situations allows for generalization of learned skills, and experiencing non-occurrence of the feared outcome helps in developing non-catastrophic associations that may enhance treatment outcomes (Bandarian-Balooch et al. J Behav Ther Exp Psychiatry 47:138–144, 2015; Cammin-Nowak et al. J Clin Psychol 69:616–629, 2013; Kendall et al. Cogn Behav Pract 12:136–148, 2005; Tiwari et al. J Clin Child Adolesc Psychol 42:34–43, 2013). To optimize treatment outcome, homework is often integrated into CBT protocols for childhood anxiety disorders during and following treatment. Nevertheless, practicing at home can be challenging, with low motivation, lack of time, and insufficient self-guidance often listed as reasons for low adherence (Tang and Kreindler, JMIR Mental Health 4:e20, 2017). This conceptual review provides an overview of (1) how existing CBT childhood programs incorporate homework, and empirical evidence for the importance of homework practice, (2) evidence-based key elements of practice, and (3) how mHealth apps could potentially enhance practice at home, including an example of the development and application of such an app. This review therefore sets the stage for new directions in developing more effective and engaging CBT-based homework programs for childhood anxiety disorders.
The Public Purposes of Private Education: a Civic Outcomes Meta-Analysis
Authors: Shakeel M. Danish , Wolf Patrick J. , Johnson Alison Heape , Harris Mattie A. , Morris Sarah R. 
Published: April 2024

AbstractSince Plato and Aristotle, political theorists have discussed the important role of education in forming democratic citizens. They disagree, however, over whether public or private schools are more effective at nurturing citizenship. We conduct a statistical meta-analysis to identify the average association between private schooling and measures of four central civic outcomes: political tolerance, political participation, civic knowledge and skills, and voluntarism and social capital. Our search identifies 13,301 initial target studies, ultimately yielding 531 effects from 57 qualified studies drawing from 40 different databases. Using Robust Variance Estimation, we determine that, on average, private schooling boosts any civic outcome by 0.055 standard deviations over public schooling. Religious private schooling, particularly, is strongly associated with positive civic outcomes. The evidence is especially strong that private schooling is correlated with higher levels of political tolerance and political knowledge and skills. We discuss heterogeneities, robustness checks, and implications.
Landscapes of Sociotechnical Imaginaries in Education: A Theoretical Examination of Integrating Artificial Intelligence in Education
Authors: Mamlok Dan 
Published: April 2024

AbstractThe vision of integrating artificial intelligence in education is part of an ongoing push for harnessing digital solutions to improve teaching and learning. Drawing from Jasanoff and Hasse, this paper deliberates on how sociotechnical imaginaries are interrelated to the implications of new technologies, such as AI, in education. Complicating Hasses’s call for the development of Socratic ignorance to consider our predispositions about new technologies and open new prospects of thought, this paper revisits postphenomenology and Feenberg’s critical constructivist theories. While embracing the notion of Socratic ignorance, this paper stresses the importance of developing a nuanced understanding of technology that realizes its lack of neutrality and supports the creation of a deeper understanding of how knowledge is produced, deployed, and interpreted in the digital age. Thus, this paper argues that an amalgam of Hasse’s call for advancing Socratic ignorance combined with postphenomenology and critical constructivism can support students in developing a critical understanding of technology and opening new landscapes of imaginaries.
Visual coating inspection framework via self-labeling and multi-stage deep learning strategies
Authors: Han Changheon , Lee Jiho , Jun Martin B. G. , Lee Sang Won , Yun Huitaek 
Published: April 2024

AbstractAn instantaneous and precise coating inspection method is imperative to mitigate the risk of flaws, defects, and discrepancies on coated surfaces. While many studies have demonstrated the effectiveness of automated visual inspection (AVI) approaches enhanced by computer vision and deep learning, critical challenges exist for practical applications in the manufacturing domain. Computer vision has proven to be inflexible, demanding sophisticated algorithms for diverse feature extraction. In deep learning, supervised approaches are constrained by the need for annotated datasets, whereas unsupervised methods often result in lower performance. Addressing these challenges, this paper proposes a novel deep learning-based automated visual inspection (AVI) framework designed to minimize the necessity for extensive feature engineering, programming, and manual data annotation in classifying fuel injection nozzles and discerning their coating interfaces from scratch. This proposed framework comprises six integral components: It begins by distinguishing between coated and uncoated nozzles through gray level co-occurrence matrix (GLCM)-based texture analysis and autoencoder (AE)-based classification. This is followed by cropping surface images from uncoated nozzles, and then building an AE model to estimate the coating interface locations on coated nozzles. The next step involves generating autonomously annotated datasets derived from these estimated coating interface locations. Subsequently, a convolutional neural network (CNN)-based detection model is trained to accurately localize the coating interface locations. The final component focuses on enhancing model performance and trustworthiness. This framework demonstrated over 95% accuracy in pinpointing the coating interfaces within the error range of ± 6 pixels and processed at a rate of 7.18 images per second. Additionally, explainable artificial intelligence (XAI) techniques such as t-distributed stochastic neighbor embedding (t-SNE) and the integrated gradient substantiated the reliability of the models.
Reinforcement of biodegradable SiO2NPs-modified cellulose-gelatin hydrogel films with antioxidant and antibacterial properties as potential food packaging composite
Authors: Sagar Sadia , Khalid Umair , Azim Waqar , Kanwal Maria , Hossain Nazia 
Published: April 2024

AbstractThis study proposed an innovative approach to the development of sustainable and biodegradable food packaging materials by incorporating inexpensive nano-silica (SiO2NPs) in designed hydrogel (CSG) film employing biodegradable polymers: synthetic polymer polyvinyl alcohol (PVA), natural polymer - carboxymethyl cellulose (CMC) and protein-based bio-polymer –gelatine, and a commercial crosslinker, tetraethoxysilane (TEOS) through a conventional air-dry casting technique. The CSG hydrogel blends were modified with varying amounts of SiO2NPs (0.05g, 0.1g, 0.15g and 0.2g) and compared with the blend without SiO2NPs to determine the effect of SiO2NPs loading through various characterisation techniques and applications including antioxidant and antimicrobial activity. Comprehensive characterizations of the CSG films revealed that CSG 0.1 (containing 0.1g SiO2NPs) exhibited the most favourable functional properties, low crystallinity, high flexibility, suitable pore size, thermal stability, adequate tensile strength, elongation at the breaking point and maximum stability by swelling and diffusion test. The addition of SiO2NPs consistently enhanced thermal and mechanical stability in all CSG films. Further, these CSG films were implemented for antioxidant test and antimicrobial activity against gram-positive Bacillus cereus and gram-negative Escherichia coli. SiO2NPs integration significantly elevated the antioxidant capacity in all films, with CSG 0.1 showing ⁓7% improvement. The antimicrobial activity of SiO2NPs-modified CSG films was also notable, with CSG 0.1 effectively inhibiting B. cereus by 1.2cm zone and E. coli by 0.5cm zone. A soil burial test was performed to pattern the biodegradability of CSG hydrogels. Therefore, the outstanding improvements in the intrinsic properties of CSG films, owing to SiO2NPs modification, positioned these CSG hydrogels as promising candidates for advanced food packaging materials in various industries.
The ACHIEVE Program: Bringing Chicago Youth and Community Organizations Together to Impact Local Disparities
Authors: Kowalczyk Monica , Najarro Jeronimo , Hill LaTonya , Barnett Todd , Volerman Anna 
Published: April 2024

AbstractTo evaluate the Advancing Community Health and Individual leadership through a noVel Educational (ACHIEVE) program uniting Chicago high school and undergraduate students (scholars) and community organizations to empower youth to meaningfully impact communities while enhancing organizational capacity. Between 2020 and 2022, the ACHIEVE program engaged cohorts of youth in classroom-based learning and community-based projects targeting health and education disparities. Pre and post-program surveys were administered to scholars to assess knowledge about disparities, skills, and self-efficacy. Semi-structured interviews were conducted with community organization leaders to examine programmatic impact. Descriptive and thematic analyses were performed. Across four cohorts (March 2020; September 2020-May 2021; September-November 2021; March-May 2022), 85 students participated in the ACHIEVE program. Scholars supported 19 community-based projects that increased awareness of local issues and resources and evaluated programs. Scholars reported advancement in their knowledge and skills as well as interest in sustaining their community engagement. Leaders shared several benefits at the organizational and community levels from collaborating with scholars. The ACHIEVE program enabled bidirectional learning between scholars and organizations. It also demonstrated that youth can contribute positively to addressing disparities while supporting local organizations and communities.
Influence of the solvent removal method on the morphology of polystyrene porous structures prepared via thermally induced phase separation
Authors: Boura Patrik , Zubov Alexandr , Van der Bruggen Bart , Kosek Juraj 
Published: April 2024

AbstractThermally induced phase separation (TIPS) allows preparation of nano and micro-porous structured materials for various applications. The literature thoroughly examines the impact of initial polymer solution concentration and cooling rate on the products morphology. On the contrary, the influence of the solvent removal methods was so far researched scarcely. Hence, we compare both qualitatively and quantitatively the effects of the solvent removal method on pore size distribution, structure, porosity, and thermal conductivity. Our study was carried out with samples prepared by TIPS from polystyrene/cyclohexane solutions employing either extraction agent or lyophilization at different solvent removal temperatures. Materials exhibited interconnected pore structure, implying good sound insulation properties, and had low thermal conductivity, offering the combination of thermal and sound insulation in one layer of material. Pore sizes after lyophilization were up to two times larger than after solvent removal by an extraction agent. On the other hand, the use of extraction agent led up to 10% porosity decrease with average porosity after lyophilization being above 82%. Our findings demonstrate that the solvent removal method is an important parameter during TIPS and that pros and cons of both methods should be carefully considered to obtain optimal material and TIPS process economy.
Systematic search for islets of stability in the standard map for large parameter values
Authors: Nieto Alexandre R. , Capeáns Rubén , Sanjuán Miguel A. F. 
Published: April 2024

AbstractIn the seminal paper, Chirikov (Phys Rep 52:263–379, 1979) showed that the standard map does not exhibit a boundary to chaos, but rather that there are small islands (“islets”) of stability for arbitrarily large values of the nonlinear perturbation. In this context, he established that the area of the islets in the phase space and the range of parameter values where they exist should decay following power laws with exponents $$-2$$

-
2

and $$-1$$

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1

, respectively. In this paper, we carry out a systematic numerical search for islets of stability and we show that the power laws predicted by Chirikov hold. Furthermore, we use high-resolution 3D islets to reveal that the islets’ volume decays following a similar power law with exponent $$-3$$

-
3

.
Locally-rooted directors
Authors: Kind Axel , Volonté Christophe 
Published: April 2024

AbstractWe study the influence of locally-rooted directors (LRDs)—board members with personal ties to a company’s geographic location—on firm performance. On the one hand, LRDs may provide valuable local know-how and access to local networks. On the other hand, as their appointments may go back to social ties with insiders (e.g., corporate directors, top executives, or large shareholders), LRDs may be used to extract rents and lack relevant experience, business skills, and independence. Using the directors’ alma mater as a proxy for local roots, LRDs turn out to be heavily overrepresented, making up 30% of all directors in our sample. We show that LRDs are negatively related to Tobin’s Q. However, this finding does not apply to domestically-oriented companies, i.e., firms without material foreign sales, and firms in regulated industries. Thus, while the results indicate that LRDs harm firm performance on average, their presence may be optimal in some cases.
Eco-innovation and corporate waste management: The moderating role of ESG performance
Authors: Albitar Khaldoon , Nasrallah Nohade , Hussainey Khaled , Wang Yadong 
Published: April 2024

AbstractBased on a sample of companies from G7 countries, we investigate the effect of eco-innovation on waste management as well as the moderating role of firms’ environmental, social, and governance (ESG) on this relationship. Our findings indicate that a higher level of eco-innovation might lead to a decline in firms’ total waste produced and an increase in firms’ magnitude of reusing and recycling waste. Likewise, our findings are associative with a moderating effect of ESG on the eco-innovation-waste management nexus. We argue that eco-innovation, along with better ESG performance, leads to a reduction in waste produced and thus better business waste management. Our study has several implications on micro- and macroeconomic levels. Countries should revisit their national strategies and domestic policies about circular economies to form international alliances and embrace more technological development.
A communication-efficient, online changepoint detection method for monitoring distributed sensor networks
Authors: Yang Ziyang , Eckley Idris A. , Fearnhead Paul 
Published: April 2024

AbstractWe consider the challenge of efficiently detecting changes within a network of sensors, where we also need to minimise communication between sensors and the cloud. We propose an online, communication-efficient method to detect such changes. The procedure works by performing likelihood ratio tests at each time point, and two thresholds are chosen to filter unimportant test statistics and make decisions based on the aggregated test statistics respectively. We provide asymptotic theory concerning consistency and the asymptotic distribution if there are no changes. Simulation results suggest that our method can achieve similar performance to the idealised setting, where we have no constraints on communication between sensors, but substantially reduce the transmission costs.
Investigating Microstructure–Property Relationships of Nonwovens by Model-Based Virtual Material Testing
Authors: Weber Matthias , Grießer Andreas , Mosbach Dennis , Glatt Erik , Wiegmann Andreas , Schmidt Volker 
Published: April 2024

AbstractQuantifying the relationship between geometric descriptors of microstructure and effective properties like permeability is essential for understanding and improving the behavior of porous materials. In this paper, we employ a previously developed stochastic model to investigate microstructure–property relationships of nonwovens. First, we show the capability of the model to generate a wide variety of realistic nonwovens by varying the model parameters. By computing various geometric descriptors, we investigate the relationship between model parameters and microstructure morphology and, in this way, assess the range of structures which may be described by our model. In a second step, we perform virtual materials testing based on the simulation of a wide range of nonwovens. For these 3D structures, we compute geometric descriptors and perform numerical simulations to obtain values for permeability as an effective material property. We then examine and quantify the relationship between microstructure morphology and permeability by fitting parametric regression formulas to the obtained data set, including but not limited to formulas from the literature. We show that for structures which are captured by our model, predictive power may be improved by allowing for slightly more complex formulas.
Metabolomic profiling of wild rooibos (Aspalathus linearis) ecotypes and their antioxidant-derived phytopharmaceutical potential
Authors: Wilkinson C. , Brooks J. , Stander M. A. , Malgas R. , Roodt-Wilding R. , Makunga N. P. 
Published: April 2024

Abstract
Introduction
Aspalathus linearis (commonly known as rooibos) is endemic to the Cape Floristic Region of South Africa and is a popular herbal drink and skin phytotherapeutic ingredient, with health benefits derived primarily from its unique phenolic content. Several, seemingly habitat-specific ecotypes from the Cederberg (Western Cape) and Northern Cape have morphological, ecological, genetic and biochemical differences.

Objectives and methods
Despite the commercial popularity of the cultivated variety, the uncultivated ecotypes are largely understudied. To address gaps in knowledge about the biochemical constituency, ultra-performance liquid chromatography-mass spectrometry analysis of fifteen populations was performed, enabling high-throughput metabolomic fingerprinting of 50% (v/v) methanolic extracts. Antioxidant screening of selected populations was performed via three assays and antimicrobial activity on two microbial species was assessed. The metabolomic results were corroborated with total phenolic and flavonoid screening of the extracts.

Results and discussion
Site-specific chemical lineages of rooibos ecotypes were confirmed via multivariate data analyses. Important features identified via PLS-DA disclosed higher relative abundances of certain tentative metabolites (e.g., rutin, aspalathin and apiin) present in the Dobbelaarskop, Blomfontein, Welbedacht and Eselbank sites, in comparison to other locations. Several unknown novel metabolites (e.g., m/z 155.0369, 231.0513, 443.1197, 695.2883) are responsible for metabolomic separation of the populations, four of which showed higher amounts of key metabolites and were thus selected for bioactivity analysis. The Welbedacht and Eselbank site 2 populations consistently displayed higher antioxidant activities, with 2,2-azino-bis (3-ethylbenzothiazoline-6-sulphonic acid) (ABTS) radical scavenging activities of 679.894 ± 3.427 µmol Trolox/g dry matter and 635.066 ± 5.140 µmol Trolox/g dry matter, respectively, in correlation with a high number of phenolic and flavonoid compounds. The contribution of the individual metabolites to the pharmacological effectiveness of rooibos remains unknown and as such, further structural elucidation and phytopharmacological testing is thus urgently needed.