bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of Fluoride Exposure on Rat Placenta: Foetal/Placental Morphometric Alterations and Decreased Placental Vascular Density
Authors: Guerrero-Arroyo Jonathan , Jiménez-Córdova Mónica I. , Aztatzi-Aguilar Octavio G. , Del Razo Luz M. 
Published: October 2023

AbstractInorganic fluoride is a geogenic and anthropogenic contaminant widely distributed in the environment and commonly identified in contaminated groundwater. There is limited information on the effect of fluoride exposure on pregnancy. The aim of this study was to evaluate possible placental alterations of fluoride exposure in a rat model simulating preconception and pregnancy exposure conditions in endemic areas. Fluoride exposure was administered orally to foetuses of dams exposed to 2.5 and 5 mg fluoride/kg/d. Foetal weight, height, foetal/placental weight ratio, placental zone thickness, levels of malondialdehyde (MDA) and vascular endothelial growth factor-A (VEGF-A) and vascular density in placental tissue were evaluated. The results showed a nonlinear relationship between these outcomes and the dose of fluoride exposure. In addition, a significant increase in the fluoride concentration in placental tissue was observed. The group that was exposed to 2.5 mg fluoride/kg/d had a greater increase in both MDA levels and VEGF-A levels than the higher dose group. A significant increase in the thickness of the placental zones and a decrease in the vascular density of the labyrinth zone area were also observed in the fluoride-exposed groups. In conclusion, the data obtained demonstrate that fluoride exposure results in morpho-structural alterations in the placenta and that non-monotonic changes in MDA, VEGF-A levels and placental foetal weight ratio were at environmentally relevant concentrations.
„Ich bin Umwege gegangen und schaffe es trotzdem Richtung Ziel“
Authors: Otuo Sarah A. Adjei , Gamper Markus 
Published: October 2023

ZusammenfassungNeben der Reproduktion der Bildungsungleichheit rücken in jüngster Zeit immer häufiger Fragen nach Schulerfolgsmöglichkeiten und -bedingungen in den Fokus gesellschaftlicher und wissenschaftlicher Diskurse. Die Bedeutung von sozialen Netzwerken für Bildungsprozesse wird hierbei selten mitgedacht. Dabei können gerade soziale Beziehungen für den Zugang zu begehrten gesellschaftlichen Ressourcen ausschlaggebend sein. Im Rahmen des vom BMBF finanzierten laufenden Forschungsprojektes „gelB: Unwahrscheinliche Bildungskarrieren – Der Beitrag der Kinder- und Jugendhilfe zu gelingender Bildung unter Bedingung von besonderer Benachteiligung“, verbinden wir netzwerkanalytische Perspektiven und Zugänge mit bildungssoziologischen Fragestellungen. Wir gehen in diesem Beitrag der Frage nach, wie Adressat_innen der Heimerziehung, trotz der Bedingungen soziostruktureller Benachteiligungen und problematischer familiärer Verhältnisse Bildungserfolge und Bildungskarrieren gelingen und welche Rolle die Netzwerke für ihre Bildungsprozesse einnehmen. Aus der Sicht der Jugendhilfeadressat_innen werden helfende sowie hinderliche Faktoren im schulbiographischen Verlauf herausgearbeitet. Der Beitrag verfolgt das Ziel, das Erleben von bildungsbezogener Unterstützung und Barrieren aus der Adressat_innenperspektive in den Blick zu nehmen und in diesem Zusammenhang auch die Rolle der Heimerziehung für Bildungsprozesse zu beleuchten.
The Essential Facilities Doctrine, Intellectual Property Rights, and Access to Big Data
Authors: Dacar Rok 
Published: October 2023

AbstractThis paper analyzes the criteria for applying the essential facilities doctrine to intellectual property rights and the possibility of applying it in cases where Big Data is the alleged essential facility. It aims to answer the research question: “What are the specifics of the intellectual property criteria in essential facilities cases and are these criteria applicable to Big Data?” It points to the semantic openness of the “new product” and “technical progress” conditions that have been developed for assessing whether an intellectual property right constitutes an essential facility. The paper argues that the intellectual property criteria are not applicable in all access to Big Data cases because Big Data is not necessarily protected by copyright. While a set of Big Data could be protected by copyright if certain conditions are met, even in such cases the lack of intrinsic value of Big Data significantly limits the applicability of the intellectual property criteria.
Effects of Physical Education on Socializing and Communicating Among Children and Preadolescents with Autism Spectrum Disorder: a Systematic Review and Meta-Analysis
Authors: Huerta Ojeda Álvaro , Barahona-Fuentes Guillermo , Villagra Órdenes Franchesca , Mena Tapia Maríajosé , Yeomans-Cabrera María-Mercedes , Martínez-Líbano Jonathan 
Published: October 2023

AbstractPhysical education stimulates brain plasticity. However, the effect of physical education interventions on socialization and communication skills in children and preadolescents with autism spectrum disorder is unknown. To review and qualitatively describe studies published between 2012 and 2022 that intervened with physical education to generate changes in socialization and communication skills in children and preadolescents with autism spectrum disorder. The search was designed following the PRISMA® guidelines for systematic reviews and meta-analyses and performed in Web of Science, Scopus, and PubMed between 2012 and 2022. Fourteen studies were included in the systematic review and nine in the meta-analysis. Physical education was shown to be effective in increasing socialization and communication skills in children and preadolescents with autism spectrum disorder.
Hyponatremia, hypernatremia and impairment of functional, psychological and sexual domains
Authors: Norello D. , Rastrelli G. , Antonio L. , Bartfai G. , Casanueva F. F. , Giwercman A. , Huhtaniemi I. T. , O’Neill T. W. , Punab M. , Slowikowska-Hilczer J. , Tournoy J. , Vanderschueren D. , Wu F. C. W. , Maggi M. , Peri A. 
Published: October 2023

Abstract
Objective
To determine the influence of serum sodium on physical, psychologic and sexual function.

Methods
This is a cross-sectional survey on 3340 community-dwelling men aged 40–79 years from a prospective cohort study in eight European countries, the European Male Ageing Study (EMAS). Participants filled-out the Short Form-36 (SF-36), the Physical Activity Scale for the Elderly (PASE), and the EMAS sexual function questionnaire. For all the analyses, serum sodium corrected for glycaemia ([Na+]G) was used.

Results
The relationship between [Na+]G and SF-36 physical function score (F = 3.99; p = 0.01), SF-36 mental health score (F = 7.69; p < 0.001), and PASE score (F = 14.95; p < 0.001) were best described by a quadratic equation, with worse scores for [Na+]G in either the lowest or the highest ends of the range. After dividing the sample into [Na+]G < 136 mmol/L (n = 81), 136–147 mmol/L (n = 3223) and > 147 mmol/L (n = 36), linear regression analyses with linear spline functions adjusted for confounders did not confirm these relationships. Similarly, erectile dysfunction and [Na+]G, were in a quadratic relationship (F = 9.00; p < 0.001). After adjusting for confounders, the linear regression with spline functions denoted a significantly worsened erectile function for increases in serum [Na+]G > 147 mmol/L (B = 0.15 [0.04;0.26], p < 0.01) but no relationship with [Na+]G < 136 mmol/L. Likewise, the relationship of [Na+]G with concerns about sexual dysfunction was confirmed only for men with serum [Na+]G > 147 mmol/L.

Conclusions
This is the first study supporting an association between [Na+]G and sexual function. A worsening of erection and concerns about sexual function were observed for the highest values of [Na+]G, independently of other relevant factors.
Shaping Conditions for Recovery: A narrative on a Homeless Man with Severe Mental Illness in a Modern Welfare State
Authors: van Everdingen Coline , Peerenboom Peter Bob , Gras Harry , Delespaul Philippe 
Published: October 2023

AbstractDespite extensive research, interdependent problems such as severe mental illness and homelessness cause extreme disparities and health inequity. Handling complexity in careseeker–caregiver networks remains challenging. The local public health services in a Dutch city were enriched with a specialized team. An ethnographic policy evaluation was conducted to identify the essentials of an effective approach. We use the narrative of a homeless man who experiences psychoses for an in-depth analysis of the team’s functionality. The narrative data shows the challenges of caregiver networks and underlines the need to integrate care. It demonstrates how normal behavior, personal skills, and a socio-ecological system strategy merge into collaborative networks with the ability to diversify care and keep focus on recovery. This paper demonstrates the failure of the linear handicap model and the costs of overspecialized care systems. Building on socio-ecological recovery literature, it provides insight how care networks successfully can foster recovery.
LGP-YOLO: an efficient convolutional neural network for surface defect detection of light guide plate
Authors: Wan Yan , Li Junfeng 
Published: October 2023

AbstractLight guide plate (LGP) is a key component of liquid crystal display (LCD) display systems, so its quality directly affects the display effect of LCD. However, LGPs have complex background texture, low contrast, varying defect size and numerous defect types, which makes realizing efficient and accuracy-satisfactory surface defect automatic detection of LGPS still a big challenge. Therefore, combining its optical properties, dot distribution, defect imaging characteristics and detection requirements, a surface defect detection algorithm based on LGP-YOLO for practical industrial applications is proposed in this paper. To enhance the feature extraction ability of the network without dimensionality reduction, expand the effective receptive field and reduce the interference of invalid targets, we built the receptive field module (RFM) by combining the effective channel attention network (ECA-Net) and reviewing large kernel design in CNNs (RepLKNet). For the purpose of optimizing the performance of the network in downstream tasks, enhance the network's expression ability and improve the network’s ability of detecting multi-scale targets, we construct the small detection module (SDM) by combining space-to-depth non-strided convolution (SPDConv) and omini-dimensional dynamic convolution (ODConv). Finally, an LGP defect dataset is constructed using a set of images collected from industrial sites, and a multi-round experiment is carried out to test the proposed method on the LGP detect dataset. The experimental results show that the proposed LGP-YOLO network can achieve high performance, with mAP and F1-score reaching 99.08% and 97.45% respectively, and inference speed reaching 81.15 FPS. This demonstrates that LGP-YOLO can strike a good balance between detection accuracy and inference speed, capable of meeting the requirements of high-precision and high-efficiency LGP defect detection in LGP manufacturing factories.
Cooperative coevolutionary surrogate ensemble-assisted differential evolution with efficient dual differential grouping for large-scale expensive optimization problems
Authors: Zhong Rui , Zhang Enzhi , Munetomo Masaharu 
Published: October 2023

AbstractThis paper proposes a novel algorithm named surrogate ensemble assisted differential evolution with efficient dual differential grouping (SEADECC-EDDG) to deal with large-scale expensive optimization problems (LSEOPs) based on the CC framework. In the decomposition phase, our proposed EDDG inherits the framework of efficient recursive differential grouping (ERDG) and embeds the multiplicative interaction identification technique of Dual DG (DDG), which can detect the additive and multiplicative interactions simultaneously without extra fitness evaluation consumption. Inspired by RDG2 and RDG3, we design the adaptive determination threshold and further decompose relatively large-scale sub-components to alleviate the curse of dimensionality. In the optimization phase, the SEADE is adopted as the basic optimizer, where the global and the local surrogate model are constructed by generalized regression neural network (GRNN) with all historical samples and Gaussian process regression (GPR) with recent samples. Expected improvement (EI) infill sampling criterion cooperated with random search is employed to search elite solutions in the surrogate model. To evaluate the performance of our proposal, we implement comprehensive experiments on CEC2013 benchmark functions compared with state-of-the-art decomposition techniques. Experimental and statistical results show that our proposed EDDG is competitive with these advanced decomposition techniques, and the introduction of SEADE can accelerate the convergence of optimization significantly.
Influence of nanosized magnesia on the hydration of borehole-sealing cements prepared using different methods
Authors: Zou Quanle , Zhan Jinfei , Wang Xin , Huang Zhen 
Published: October 2023

AbstractGas drainage is an effective technology for gas control in coal mines. A high borehole-sealing quality is the fundamental precondition for efficient gas drainage. The expansibilities of cement pastes used in borehole-sealing processes are critical for the borehole-sealing effect. Nanosized magnesia expansive agents are used to improve the expansibilities of cement pastes and improve the borehole-sealing effect. Nuclear magnetic resonance spectrometry and scanning electron microscopy were adopted to study the effects of nanosized magnesia on the hydration of borehole-sealing cements used with different preparation methods. The results showed that an increase in the mass fraction of the nanosized magnesia promoted cement hydration, and the mass fraction was positively correlated with the promotion effect. The use of different preparation methods did not change the water-phase distribution in the cement. When using the wet-mixing preparation method, nanosized magnesia promoted the induction, acceleration, and deceleration periods of hydration; when using the dry-mixing preparation method, the nanosized magnesia promoted the induction period of cement hydration, and the promotion effect was less obvious than that seen when using the wet-mixing method. When using the wet-mixing preparation method, the nanosized magnesia was uniformly dispersed, thus enlarging the surface area of the reaction, which provided more nucleation sites for the hydration products of the cement and therefore accelerated the hydration reaction. When using the dry-mixing preparation method, the nanosized magnesia powders were dispersed nonuniformly and aggregated. Under these conditions, only a few nanosized magnesia particles on the surfaces of the aggregated clusters took part in hydration, so only a small number of nucleation sites were provided for the hydration products of cement. This led to inconsistent hydration of cement pastes prepared using the dry-mixing method. The surface porosity of the cement prepared with the wet-mixing preparation method first decreased and then increased with increases in the mass fraction of the nanosized magnesia. The cement surface exhibited compact hydration products and few pores, and the surface was relatively smooth. In comparison, the surface porosity of the cement prepared using the dry-mixing method fluctuated with increasing mass fraction of the nanosized magnesia, resulting in a rough cement surface and microfractures on some surfaces. The two preparation methods both reduced the surface porosity of the cement. The wet-mixing preparation was more effective and consistent in improving the compactness of the cement than the dry-mixing preparation. These results provide important guidance on the addition of nanosized magnesia in borehole-sealing engineering and the selection of cement preparation methods, and they also lay a solid foundation for realizing safe and efficient gas drainage.
Spoil characterisation using UAV-based optical remote sensing in coal mine dumps
Authors: Thiruchittampalam Sureka , Singh Sarvesh Kumar , Banerjee Bikram Pratap , Glenn Nancy F. , Raval Simit 
Published: October 2023

AbstractThe structural integrity of mine dumps is crucial for mining operations to avoid adverse impacts on the triple bottom-line. Routine temporal assessments of coal mine dumps are a compliant requirement to ensure design reconciliation as spoil offloading continues over time. Generally, the conventional in-situ coal spoil characterisation is inefficient, laborious, hazardous, and prone to experts' observation biases. To this end, this study explores a novel approach to develop automated coal spoil characterisation using unmanned aerial vehicle (UAV) based optical remote sensing. The textural and spectral properties of the high-resolution UAV images were utilised to derive lithology and geotechnical parameters (i.e., fabric structure and relative density/consistency) in the proposed workflow. The raw images were converted to an orthomosaic using structure from motion aided processing. Then, structural descriptors were computed per pixel to enhance feature modalities of the spoil materials. Finally, machine learning algorithms were employed with ground truth from experts as training and testing data to characterise spoil rapidly with minimal human intervention. The characterisation accuracies achieved from the proposed approach manifest a digital solution to address the limitations in the conventional characterisation approach.
Environmental Harshness and Unpredictability, Parenting, and Offspring Life History
Authors: Yang An Ting , Lu Hui Jing , Chang Lei 
Published: October 2023

AbstractThe species-general life history (LH) principle posits that extrinsic morbidity-mortality risks accelerate organisms’ pace of life and promotes fast LH-related traits (e.g., earlier sexual maturation and reproduction). Humans, however, have experienced uniformly decelerated LH due to their evolved abilities and efforts in controlling environmental contingencies. The present study proposes that the reason for the existence of such human-specific deceleration of LH may be rooted in human parenting, hence aims to explore the roles of parenting within the relationships between environmental adversities and children’ LH calibration. The present study used data from the NIMH Data Archive (NDA) reported by 2014 children and their caregivers, and examined the effects of parental investment in calibrating children’s LH behavioral manifestations, as well as in moderating the impacts of environmental harshness and unpredictability on children’ development of LH. The findings showed that parental investment negatively predicts the development of fast LH behavioral profiles in children and moderates the impacts of environmental adversities directly imposed on children. We conclude that human parental investment serves as an important pivot in down-regulating environmental effects on children’s LH calibration, providing an alternative insight into the species-specific deceleration of LH.
Atomic Cu Sites Engineering Enables Efficient CO2 Electroreduction to Methane with High CH4/C2H4 Ratio
Authors: Li Minhan , Zhang Fangzhou , Kuang Min , Ma Yuanyuan , Liao Ting , Sun Ziqi , Luo Wei , Jiang Wan , Yang Jianping 
Published: October 2023

AbstractElectrochemical reduction of CO2 into high-value hydrocarbons and alcohols by using Cu-based catalysts is a promising and attractive technology for CO2 capture and utilization, resulting from their high catalytic activity and selectivity. The mobility and accessibility of active sites in Cu-based catalysts significantly hinder the development of efficient Cu-based catalysts for CO2 electrochemical reduction reaction (CO2RR). Herein, a facile and effective strategy is developed to engineer accessible and structural stable Cu sites by incorporating single atomic Cu into the nitrogen cavities of the host graphitic carbon nitride (g-C3N4) as the active sites for CO2-to-CH4 conversion in CO2RR. By regulating the coordination and density of Cu sites in g-C3N4, an optimal catalyst corresponding to a one Cu atom in one nitrogen cavity reaches the highest CH4 Faraday efficiency of 49.04% and produces the products with a high CH4/C2H4 ratio over 9. This work provides the first experimental study on g-C3N4-supported single Cu atom catalyst for efficient CH4 production from CO2RR and suggests a principle in designing highly stable and selective high-efficiency Cu-based catalysts for CO2RR by engineering Cu active sites in 2D materials with porous crystal structures.
Integrity and the University
Authors: Cox Damian , Boaks Jacqueline , Levine Michael P. 
Published: October 2023

AbstractThis paper examines the idea of the integrity of academic practice. We offer an account of the integrity of professional practice in general before applying it to academic professional practice within the contemporary, western university. We then introduce the concept of integrity traps and explain how they can make it difficult for academics working within a contemporary university environment to maintain their integrity.
Measuring nature-based health interventions – a rapid review of instrumentation and outcomes
Authors: Reis Arianne , Gray Tonia , Mann Jeff , Mallinson Jessica , Katnoria Manisha , Seach William , Peel Nicole 
Published: October 2023

AbstractNature-based health interventions (NBHIs) are utilised to treat a range of physical and mental health conditions, and this rapid review sought to describe the breadth of instrumentation utilised to measure the effectiveness of NBHIs on the different domains of health and wellbeing. A total of 14,385 records were extracted from three databases, and a review of titles and abstracts and then of full text resulted in a final dataset of 167 articles that met the review criteria. NBHI settings were categorised as Garden/Horticulture, Blue Spaces, Urban Green Spaces, Wild Nature, and Camps/Residential. For each of these settings, major population groups included in the studies, health domains and outcomes addressed, as well as assessment tools used to measure NBHIs’ effectiveness were described and analysed in aggregate. A total of 336 measurement tools were utilised across the dataset, with only 29 being specifically designed to assess NBHIs. Most studies investigated mental health domains and measured the effectiveness of NBHIs to improve psychological factors and physical, behavioural, and healthy eating outcomes. Future research should interrogate how nature-based tools and outcome measurements could be used most effectively in NBHI settings.
A review on electrolytes for supercapacitor device
Authors: Mendhe Arpit , Panda H. S. 
Published: October 2023

AbstractElectrodes and electrolytes have a significant impact on the performance of supercapacitors. Electrodes are responsible for various energy storage mechanisms in supercapacitors, while electrolytes are crucial for defining energy density, power density, cyclic stability, and efficiency of devices. Various electrolytes, from aqueous to ionic liquid, have been studied and implemented as potential electrolytes for supercapacitors. The ionic size, conductivity, mobility, diffusion coefficient, and viscosity of electrolytes affect the device’s capacitance. Electrode type and its interaction with electrolytes are other factors to consider when choosing an electrolyte for a supercapacitor. In this review, an attempt has been made to provide a comprehensive and straightforward overview of the numerous electrolytes widely used for supercapacitor study and how these electrolytes interact with the electrodes to improve the performance of the supercapacitors.