bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interventions and Approaches Targeting Early Self-Regulation or Executive Functioning in Preschools: A Systematic Review
Authors: Muir Rosalyn A. , Howard Steven J. , Kervin Lisa 
Published: March 2023

AbstractThis systematic literature review sought to reconcile the evidence of efficacy for interventions and approaches to enhancing self-regulation and/or executive function in preschool settings. Following PRISMA methodology, a comprehensive search of 20 years of intervention research identified 85 studies that met inclusion criteria. Interventions were categorised by intervention approach and coded for their characteristics (e.g. sample size, dose, duration, interventionist, intervention activities), outcomes (e.g. significance, size of effects) and study quality (i.e. risk of bias). Reconciliation of intervention results indicated (1) within intervention approaches, some approaches had more consistent and robust evidence of efficacy (e.g. mindfulness, mediated play, physical activity) and (2) across intervention approaches, characteristics that had greater (or exclusive) presence amongst the higher efficacy interventions (e.g. cognitive challenge, movement, as well as interventionist, fidelity and dose considerations). Implications for future intervention (re)design, and for theorising about mechanisms of self-regulation and executive function change, are discussed.
Development of a novel silk sericin-based hydrogel film by mixture design
Authors: Jaramillo-Quiceno Natalia , Rueda-Mira Santiago , Marín Juan Felipe Santa , Álvarez-López Catalina 
Published: March 2023

AbstractSericin has been used in functional and potentially biodegradable materials for cosmetics, biomedical, agricultural, and food applications. It is a natural polymer with applications in absorbent materials, such as hydrogels, because of its hydrophilic character. However, sericin by itself is brittle, and in contact with water has low structural stability, being necessary its blending with other polymers or the application of crosslinking processes. In this work, hydrogel films were prepared from different mixtures containing sericin (SS), carboxymethylcellulose (CMC), and polyvinyl alcohol (PVA), using a simple and environmentally friendly method consisting of a gelling process followed by solvent casting. A mixture design was applied to assess the incidence of each component and its interaction with the output variables of interest. Two response variables were evaluated in each formulation: water absorption capacity (WA) and gel fraction (GF). It was also possible to model the output variables based on the proportions of the sample components. In addition, a set of formulations were used to produce hydrogels with high water absorption rates while maintaining their structural stability. The optimal hydrogel formulation (HF) was structurally and thermally characterized by FTIR and TGA, respectively. Hydrogel morphology was also studied by scanning electron microscopy (SEM). The results of this study constitute an important contribution to the design of novel processing routes to extend the use of silk sericin in the development of new materials.
Sol-gel synthesis of nanostructured cobalt oxide in four different ionic liquids
Authors: Al Kiey Sherief A. , Sery Alaa A. , Farag Hala K. 
Published: March 2023

AbstractIn this paper we report on the sol-gel synthesis of cobalt oxide in four different ionic liquids with two different cations and anions. The employed ionic liquids are; 1-ethyl-3-methylimidazolium trifluoromethylsulfonate ([EMIm]TfO), 1-butyl-1-methylpyrrolidinium trifluoromethylsulfonate ([Py1,4]TfO), 1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)amide ([EMIm]TFSA), and 1-butyl-1-methylpyrrolidiniumbis(trifluoromethylsulfonyl)amide ([Py1,4]TFSA). The influence of the cation and anion of the ionic liquids on the morphology of the synthesized oxides was explored. The results showed that octahydron-shaped Co3O4 nanoparticles with different average sizes depending on the type of the employed ionic liquid. The imidazolium cation was found to play a significant role in reducing the particle size of the synthesized Co3O4 nanoparticles. The samples prepared in the imidazolium-based ionic liquids showed smaller particle sizes than those of the samples prepared in the pyrrolidinium-based ionic liquids. The shape of the particles of the synthesized Co3O4 was not affected by the type of the ionic liquids.
Graphical abstract
Violent Discipline in North Kivu, Democratic Republic of Congo: The Role of Child Gender and Disability Status in Cross-sectional Analysis
Authors: Blackwell Alexandra H. , de Dieu Hategekimana Jean , Bauma Daddy , Roth Danielle , Thivillier Pauline , O’Connor Meghan , Falb Kathryn 
Published: March 2023

Abstract
Introduction
Violence is used to punish or educate children across the world, with detrimental effects on their physical, emotional, and social health that persist into their adulthood. This study aimed to understand the use of violent discipline by caregivers in conflict-affected communities and how it varied by the child’s gender and disability level.

Methods
Using cross-sectional data collected from 394 respondents (196 men and 198 women) in North Kivu, Democratic Republic of Congo, logistic generalized estimating equations stratified by gender assessed the association between past-three-month perpetration of violent discipline, caregiver demographics, conflict experiences, and disability attitudes, as well as child demographics of age, gender, disability level, and the interaction of gender and disability.

Results
Compared to women with boy children with no disability, odds of perpetration of violent discipline were higher among those with girl children with no disability (aOR: 2.24; 95%CI: 1.11–4.51) and boy children with moderate or severe disability (aOR: 2.91; 95%CI: 1.14–7.33), and the interaction of girl children with a moderate or severe disability showed a 7.80 increase in odds of perpetration; however, association with women’s discriminatory disability attitudes was not significant. In contrast, the interaction of child gender and disability level were not significantly associated with perpetration of violent discipline for men, but disability attitudes were significantly associated (aOR: 1.07; 95%CI: 1.00-1.15).

Discussion
Results suggest that levels of violence in conflict-affected households in North Kivu, DRC are high, with women reporting higher levels of violent discipline overall, and amplified use of violence against girl children with disabilities. More research and programs with an intersectional lens are needed in conflict settings to better understand and address the use of violent discipline and underlying discriminatory norms around gender and disability.
Like Parent, like Child: General and Specific Associations Between Parents’ and Children’s Binary Gender Identity in a Gender Egalitarian Context
Authors: Antoniucci Chiara , Portengen Christel , Endendijk Joyce J. 
Published: March 2023

AbstractThere is ample scientific evidence for the importance of parental gender socialization in children’s binary gender development. Surprisingly, little is known about the role of parents’ own gender identity in the binary gender identity development of their children. Therefore, the present study investigated the association between parents’ and children’s binary gender identity (i.e., similarity to same- and other-gender individuals) in a sample of 142 Dutch families with a child between the ages of 6 and 12 years old. The Dutch context is characterized by relatively high gender equality. Both parents and their children answered questions about their similarity to same-gender and other-gender individuals. Generalized estimating equations revealed that parents’ same-gender similarity and parents’ other-gender similarity were positively associated with their children’s same- and other-gender-similarity, respectively. In addition, more other-gender similarity in parents was associated with less same-gender similarity in girls, but more same-gender similarity in boys. Parents who reported high similarity with both genders were more likely to have children who also reported higher similarity with both genders. These findings indicate that parents’ own binary gender identity is related in general and specific ways to their children’s binary gender identity development. Parents should be made aware of their role in children’s binary gender identity development. Yet, more research on different types of gender identity in parents and their children is necessary.
The Modal-Epistemic Argument Self-undermined
Authors: Wintein Stefan 
Published: March 2023

AbstractIn a recent article, Emanuel Rutten defends his Modal-Epistemic Argument (MEA) for the existence of God against various objections that I raised against it. In this article, I observe that Rutten’s defence fails for various reasons. Most notably though, the defence is self-undermining: the very claims that Rutten argues for in his defence yield novel counterexamples to the first premise of the MEA.
Autoimmune Gastritis: Update and New Perspectives in Therapeutic Management
Authors: Orgler Elisabeth , Dabsch Stefanie , Malfertheiner Peter , Schulz Christian 
Published: March 2023

Abstract
Purpose of Review
Diagnosis of autoimmune gastritis (AIG) is often delayed because of the absence of typical symptoms. Clinical guidelines are lacking which results in inadequate treatment and poor cancer screening. This review presents an overview of current management options and aims at raising awareness for this often-neglected disease.

Recent Findings
Autoimmune gastritis is mostly thought of as a disease of the elderly with vitamin B12 deficiency and pernicious anemia. Today it is recognized that AIG is found with a similar prevalence among all age-groups, with iron deficiency being a frequent feature. Conventional therapy consists of adequate iron and vitamin B12 supplementation as well as symptomatic approaches. The associated risk for gastric adenocarcinoma and gastric neuroendocrine tumors requires regular endoscopic follow up. Novel therapies aiming to reduce gastric atrophy and cancer risk are currently under development.

Summary
Treatment of autoimmune gastritis should focus on optimizing supplementation of deficiencies and include cancer prevention measures. Clinical research should address the possibility to arrest the inflammatory process and to prevent progression of AIG. International guidelines on management and endoscopic screening intervals should be set up.
Environment, biodiversity and health in university scientific cooperation in Mozambique
Authors: Taviani Elisa , Cappuccinelli Piero , Colombo Mauro , Cirillo Tiziano , Neves Luis , Saide Joaquim , Attorre Fabio 
Published: March 2023

AbstractMozambique and Italy share a history of academic cooperation spanning almost half a century. The topical collection “Environment, biodiversity and health in university scientific cooperation in Mozambique” stems from the desire to collect the scientific progress achieved through this alliance. Research papers in the collection cover themes including biodiversity conservation for the sustainable use of natural resources, diagnostics and molecular epidemiology of genetic and infectious diseases, and the anthropogenic impact on the environment under the one health principle. The sustainable growth of a country depends, to a large extent, on the establishment of solid research capacity, ensuring the ownership and full involvement of local institutions. The availability of adequate scientific research frameworks is critical to guarantee the integrated conservation of the ecological, socio-economic and cultural value of biodiversity. The works published within this collection emphasize the importance of international cooperation in scientific research.
Integral inequalities using signed measures corresponding to majorization
Authors: Horváth László 
Published: March 2023

AbstractIn this paper we derive majorization type integral inequalities using measure spaces with signed measures. We obtain necessary and sufficient conditions for the studied integral inequalities to be satisfied. To apply our results, we first generalize Hardy–Littlewood–Pólya and Fuchs inequalities. Then we deal with the nonnegativity of some integrals with nonnegative convex functions. As a consequence, the known characterization of Steffensen–Popoviciu measures on compact intervals is extended to arbitrary intervals. Finally, we give necessary and sufficient conditions for the satisfaction of the integral Jensen inequality and the integral Lah–Ribarič inequality for signed measures. All the considered problems are also studied for special classes of convex functions. To prove the main assertions some approximation results for nonnegative convex functions are also developed.
Using geophysical log data to predict the fracture density in a claystone host rock for storing high-level nuclear waste
Authors: Tóth Emese , Hrabovszki Ervin , Tóth Tivadar M. 
Published: March 2023

AbstractPreviously drilled boreholes of a host rock for a potential nuclear waste repository in Hungary revealed a highly fractured claystone rock body. A crucial step for characterizing the hydrodynamic behavior of such a fractured reservoir is fracture identification and accurate calculation of the fracture density. Although acoustic borehole televiewers provide a reliable base for determining the fracture density, older boreholes usually lack such data. However, conventional borehole geophysical measurements are often accessible in such cases. The aim of this study was to identify any correlations between well log data and fracture density. Multiple linear regression analysis was performed on data from two boreholes penetrating the Boda Claystone Formation in southwest Hungary. The upper section of the BAF-4 borehole was used for training, where the fracture density was estimated with a fit of R2 = 0.767. The computed regression function predicted the fracture density with high accuracy in both boreholes for all intervals with typical lithological features. However, in some sections where anomalous well log data indicated changes in the lithology, the prediction accuracy decreased. For example, the function underestimated the fracture density in sandy intervals.
A generalized Caputo-type fractional-order neuron model under the electromagnetic field
Authors: Kumar Pushpendra , Erturk Vedat Suat , Tyagi Swati , Banas Jozef , Manickam A. 
Published: March 2023

AbstractThis article considers a fractional-order neuron model under an electromagnetic field in terms of generalized Caputo fractional derivatives. The motivation for incorporating fractional derivatives in the previously proposed integer-order neuron model is that the fractional-order model impresses with efficient effects of the memory, and parameters with fractional orders can increase the model performance by amplifying a degree of freedom. The results on the uniqueness of the solution for the proposed neuron model are established using well-known theorems. The given model is numerically solved by using a generalized version of the Euler method with stability and error analysis. Several graphical simulations are performed to capture the variations in the membrane potential considering no electromagnetic field effects, various frequency brands of external forcing current, and the amplitude and frequency of the external magnetic radiation. The impacts of fractional-order cases are clearly justified.
LSH-based missing value prediction for abnormal traffic sensors with privacy protection in edge computing
Authors: Gao Ailing , Liu Xiaomei , Miao Ying 
Published: March 2023

AbstractTraffic flow prediction is an important part of intelligent transportation systems (ITS). However, sensor failures or the transmission distortion often occur in the process of data acquisition, which will inevitably cause the loss or abnormality of traffic flow data transmitted to the edge server. In this situation, it is necessary to share traffic flow data among different platforms. However, existing traffic flow prediction methods are facing two challenges in the process of traffic flow data sharing. First, user privacy is often leaked in the process of sharing traffic data on various platforms. Moreover, with the continuous updating of data, the efficiency and scalability of data sharing between different platforms will become lower and lower. In view of the above challenges, in this paper, we propose a novel prediction method for the missing traffic flow data caused by abnormal sensors, named $$ASMVP_{distr-LSH}$$

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A comprehensive experimental study of municipal solid waste (MSW) as solid biofuel and as composite solid fuel in blends with lignite: quality characteristics, environmental impact, modeling, and energy cover
Authors: Vasileiadou Agapi , Zoras Stamatis , Dimoudi Argiro 
Published: March 2023

Abstract
Recently, coal power plants across Europe have been reopened. Alternative fuels are needed for energy autonomy purposes, for a smoother transition to the post-lignite era and for sustainable development. In this work, different categories of municipal solid wastes (MSW) and their blends with lignite were studied for their potential use as alternative fuels. Seventeen samples were studied using several techniques: gross calorific value (GCV), proximate analysis, ultimate analysis, ion chromatography, ash elemental analysis, thermogravimetric analysis, kinetic modeling and thermodynamic analysis. A determination of empirical chemical formulas was performed. Slagging/fouling potential was evaluated with various indices including modified indices that take into account ash production and GCV. Maximum emission factors were calculated and defined per produced MJ. Also, an environmental footprint index was developed regarding the environmental impact of solid wastes. The GCV experimental results were compared with those of twenty different empirical models. Moreover, several case studies were performed to evaluate the potential of covering the energy demands, with combustion of MSW, in Greece and Europe. The results showed that MSW as a primary/secondary fuel is an attractive solution considering the fact that it boasts better characteristics in comparison with lignite. Moreover, the environmental footprint index (EFIsw) of the MSW revealed a much smaller environmental impact. The high N content is not always translated to high emissions if NO is expressed per produced MJ (gNO/MJ). In addition, MSW can also be used as a significant contributor in covering energy demands regarding the energy recovery potential.

Graphical abstract
Acromioclavicular Joint Reconstruction: an Analysis of the Readability and Quality of Online Information Available to Patients
Authors: O’Dwyer Liam , Murphy Ben , O’Farrell Dermot 
Published: March 2023

AbstractCurrently, patients use the Internet for health information relating to surgery. The aim of this study is to assess the readability and quality of online health information relating to acromioclavicular joint reconstruction. We hypothesise that the information will be of poor quality and be too difficult to read for the average patient. The top 50 results from Google, Bing, and Yahoo (MeSH “acromioclavicular joint reconstruction”, “ac joint reconstruction”) were used for analysis. Readability was assessed using three scores (Gunning FOG (GF), Flesch–Kincaid Grade (FKG), and Flesch Reading Ease (FRE)); these scores were generated using an online calculator (www.readable.com). Quality was assessed using a HONcode Google Toolbar extension and JAMA benchmark criteria. One hundred sixteen webpages were subject to analysis. The mean GF was 12.1 ± 2.9. The mean FKG was 10.6 ± 2.15. The mean FRE was 38.9 ± 13.3. FRE score found no webpage pitched at the 6th grade level, and only 4 (3.4%) and 2 (1.7%) of the webpages were pitched at this level according to the GF and FKG scores, respectively. The mean JAMA score was 1.9 ± 1.5. Only 10 webpages had HONcode certification. The quality of online patient information pertaining to acromioclavicular joint reconstruction is of poor quality and is too difficult to read. Physicians and health information providers should conform to health literacy standards. Health information providers should meet the minimum standards of verified assessment tools.
Analysis of sinkholes in a karst area adjacent to three mines in south China
Authors: Jiang Xiaozhen , Zhou Wangfang , Guang Zhende , Pan Zongyuan , Ma Xiao 
Published: March 2023

AbstractEighty-six sinkholes occurred in a karst area of 2 km2 from 1990 to 2016, resulting in cracked houses and abandoned farmland. The affected area is adjacent to three underground mines with mining depth up to 600 m below ground. Sinkhole characteristics, hydrogeochemical and isotopic data, and groundwater-gas pressure measurements were evaluated to understand the dynamic karst system. An aquiclude layer was identified between the Triassic Nanlinghu Formation and Donggangling Formation, leading to recognition of two karst groundwater subsystems—Dongmaanshan subsystem and Nanlinghu subsystem. The sinkholes occurred in the Dongmaanshan subsystem where Xinhua Copper Mine and a water supply wellfield are located, and the influence distance can reach 1.2 km. A larger groundwater cone of depression induced by dewatering in a pyrite mine and gold mine in the Nanlinghu subsystem caused differential settlement. Because the sinkhole occurrence is sensitive to groundwater extraction in the Dongmaanshan subsystem, it is recommended that underground engineering activities should be avoided in this subsystem in future land use planning unless effective measures are taken to prevent groundwater level decline and high-frequency groundwater-gas pressure monitoring is implemented.
A Sub-flow Adaptive Multipath Routing Algorithm for Data Centre Network
Authors: Lu You , Chen Yuhao , Xu Xiao , Fu Qiming , Chen Jianping , Liu Lanhui 
Published: March 2023

AbstractIn response to the fast and intensive traffic changes and the presence of redundant links in the network topology in data centre networks, multipath routing has become the dominant approach. Existing multipath routing algorithms are still inadequate in terms of adapting to dynamic changes in the network state quickly and the cooperation of path selection and sub-flow assignment. Therefore, this paper proposes a sub-flow adaptive multipath routing algorithm for data centre networks (SAMP). The deep deterministic policy gradient (DDPG) algorithm is introduced. DDPG combines deep learning (DL) and reinforcement learning (RL) to implement different network state changes quickly, especially in the process of topology, to achieve dynamic migration of the optimised decisions that have been learned. An adaptive multipath routing model for subflows is established to accomplish collaborative scheduling of path selection and subflow assignment based on the real-time state of the network. The experimental results show that the algorithm can be well adapted to the data centre network, and when compared with several traditional methods, it reduces the latency by an average of 31.3%, improves the task transmission success rate by an average of 14.9%, and increases the throughput by 37.1%.