bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Path Planning of a Mining Inspection Robot in an Unstructured Environment Based on an Improved Rapidly Exploring Random Tree Algorithm
Authors: Wu Jingwen , Zhao Liang , Liu Ruixue
Published: July 2024

To ensure the safe production of mines, the intelligent trend of underground mining operations is gradually advancing. However, the operational environment of subterranean mining is intricate, making the conventional path-planning algorithm used by mining inspection robots frequently inadequate for real requirements. To safeguard the mining inspection robot, targeting the problem of low search efficiency and path redundancy in the path planning of the existing rapidly exploring random tree (RRT) algorithm in the narrow and complex unstructured environment, a path-planning algorithm combining improved RRT and a probabilistic road map (PRM) is proposed. Initially, the target area is efficiently searched according to the fan-shaped goal orientation strategy and the adaptive step size expansion strategy. Subsequently, the PRM algorithm and the improved RRT algorithm are combined to reduce the redundant points of the planning path. Ultimately, considering the kinematics of the vehicle, the path is optimized by the third-order Bessel curve. The experimental simulation results show that the proposed path-planning algorithm has a higher success rate, smoother path, and shorter path length than other algorithms in complex underground mining environments, which proves the effectiveness of the proposed algorithm.
Google Gemini’s Performance in Endodontics: A Study on Answer Precision and Reliability
Authors: Díaz-Flores García Victor , Freire Yolanda , Tortosa Marta , Tejedor Beatriz , Estevez Roberto , Suárez Ana
Published: July 2024

(1) Background: Large language models (LLMs) are revolutionising various scientific fields by providing advanced support tools. However, the effectiveness of these applications depends on extensive, up-to-date databases to ensure certainty and predictive power. Transparency about information sources in Medicine remains a significant issue. (2) Methods: To evaluate Google Gemini’s accuracy and reproducibility in endodontic diagnosis and treatment, 60 questions were designed based on the European Society of Endodontology Position Statements. Thirty questions were randomly selected and answered using Gemini during April 2023. Two endodontic experts independently scored the answers using a 3-point Likert scale. Discrepancies were resolved by a third expert. The relative frequency and absolute percentage of responses were detailed. Accuracy was assessed using the Wald binomial method, and repeatability was assessed using percentage agreement, Brennan and Prediger’s coefficient, Conger’s generalised kappa, Fleiss’ kappa, Gwet’s AC, and Krippendorff’s alpha, all with 95% confidence intervals. Statistical analysis was performed using STATA software. (3) Results: A total of 900 answers were generated. The percentage of correct answers varied from 0% to 100% per question. Overall accuracy was 37.11% with a 95% confidence interval of 34.02–40.32%; (4) Conclusions: Gemini is not currently designed for medical use and therefore needs to be used with caution when considered for this purpose.
A Method for Extracting Joints on Mountain Tunnel Faces Based on Mask R-CNN Image Segmentation Algorithm
Authors: Qiao Honglei , Yang Xinan , Liang Zuquan , Liu Yu , Ge Zhifan , Zhou Jian
Published: July 2024

The accurate distribution of joints on the tunnel face is crucial for assessing the stability and safety of surrounding rock during tunnel construction. This paper introduces the Mask R-CNN image segmentation algorithm, a state-of-the-art deep learning model, to achieve efficient and accurate identification and extraction of joints on tunnel face images. First, digital images of tunnel faces were captured and stitched, resulting in 286 complete images suitable for analysis. Then, the joints on the tunnel face were extracted using traditional image processing algorithms, the commonly used U-net image segmentation model, and the Mask R-CNN image segmentation model introduced in this paper to address the lack of recognition accuracy. Finally, the extraction results obtained by the three methods were compared. The comparison results show that the joint extraction method based on the Mask R-CNN image segmentation deep learning model introduced in this paper achieved the best joint extraction effect with a Dice similarity coefficient of 87.48%, outperforming traditional methods and the U-net model, which scored 60.59% and 75.36%, respectively, realizing accurate and efficient acquisition of tunnel face rock joints. These findings suggest that the Mask R-CNN model can be effectively implemented in real-time monitoring systems for tunnel construction projects.
Adaptive Kriging-Based Heat Production Performance Optimization for a Two-Horizontal-Well Geothermal System
Authors: Liu Haisheng , Sun Wan , Zheng Jun , Dou Bin
Published: July 2024

Optimizing heat generation capacity is crucial for geothermal system design and evaluation. Computer simulation is a valuable approach for determining the influence of various parameter combinations on a geothermal system’s ability to produce heat. However, computer simulation evaluations are often computationally demanding since all potential parameter combinations must be examined, posing significant hurdles for heat generation performance evaluation and optimization. This research proposes an adaptive Kriging-based heat generation performance optimization method. Firstly, a two-horizontal-well geothermal system with rectangular multi-parallel fractures is constructed. The heat production performance optimization problem is then established, and the temperature and enthalpy of the outlet water are calculated using computer simulation and Kriging. A parameterized lower confidence bounding sampling scheme (PLCB) is developed to adaptively update Kriging in order to strike a compromise between optimization accuracy and computation burden. The outcomes of the optimization are compared to those of the Kriging-based optimization approach and other common infill options to demonstrate the efficiency of the proposed method. The outlet temperature curve obtained with PLCB-AKO-1 rose for a longer time and the heat generation power curve reached a stable output without a downward trend. According to the Friedman and Wilcoxon signed ranks tests, the PLCB-1-AKO technique is statistically superior to alternative strategies.
Advancements in Lithium–Oxygen Batteries: A Comprehensive Review of Cathode and Anode Materials
Authors: Guo Jing , Meng Xue , Wang Qing , Zhang Yahui , Yan Shengxue , Luo Shaohua
Published: July 2024

As modern society continues to advance, the depletion of non-renewable energy sources (such as natural gas and petroleum) exacerbates environmental and energy issues. The development of green, environmentally friendly energy storage and conversion systems is imperative. The energy density of commercial lithium-ion batteries is approaching its theoretical limit, and even so, it struggles to meet the rapidly growing market demand. Lithium–oxygen batteries have garnered significant attention from researchers due to their exceptionally high theoretical energy density. However, challenges such as poor electrolyte stability, short cycle life, low discharge capacity, and high overpotential arise from the sluggish kinetics of the oxygen reduction reaction (ORR) during discharge and the oxygen evolution reaction (OER) during charging. This article elucidates the fundamental principles of lithium–oxygen batteries, analyzes the primary issues currently faced, and summarizes recent research advancements in air cathodes and anodes. Additionally, it proposes future directions and efforts for the development of lithium–air batteries.
Wearable Near-Eye Tracking Technologies for Health: A Review
Authors: Zhu Lisen , Chen Jianan , Yang Huixin , Zhou Xinkai , Gao Qihang , Loureiro Rui , Gao Shuo , Zhao Hubin
Published: July 2024

With the rapid advancement of computer vision, machine learning, and consumer electronics, eye tracking has emerged as a topic of increasing interest in recent years. It plays a key role across diverse domains including human–computer interaction, virtual reality, and clinical and healthcare applications. Near-eye tracking (NET) has recently been developed to possess encouraging features such as wearability, affordability, and interactivity. These features have drawn considerable attention in the health domain, as NET provides accessible solutions for long-term and continuous health monitoring and a comfortable and interactive user interface. Herein, this work offers an inaugural concise review of NET for health, encompassing approximately 70 related articles published over the past two decades and supplemented by an in-depth examination of 30 literatures from the preceding five years. This paper provides a concise analysis of health-related NET technologies from aspects of technical specifications, data processing workflows, and the practical advantages and limitations. In addition, the specific applications of NET are introduced and compared, revealing that NET is fairly influencing our lives and providing significant convenience in daily routines. Lastly, we summarize the current outcomes of NET and highlight the limitations.
Ribosomal Protein S4 X-Linked as a Novel Modulator of MDM2 Stability by Suppressing MDM2 Auto-Ubiquitination and SCF Complex-Mediated Ubiquitination
Authors: Ryu Satsuki , Nakashima Hiroki , Tanaka Yuka , Mukai Risa , Ishihara Yasuhiro , Tominaga Takashi , Ohshima Takayuki
Published: July 2024

Mouse double minute 2 (MDM2) is an oncoprotein that is frequently overexpressed in tumors and enhances cellular transformation. Owing to the important role of MDM2 in modulating p53 function, it is crucial to understand the mechanism underlying the regulation of MDM2 levels. We identified ribosomal protein S4X-linked (RPS4X) as a novel binding partner of MDM2 and showed that RPS4X promotes MDM2 stability. RPS4X suppressed polyubiquitination of MDM2 by suppressing homodimer formation and preventing auto-ubiquitination. Moreover, RPS4X inhibited the interaction between MDM2 and Cullin1, a scaffold protein of the Skp1-Cullin1-F-box protein (SCF) complex and an E3 ubiquitin ligase for MDM2. RPS4X expression in cells enhanced the steady-state level of MDM2 protein. RPS4X was associated not only with MDM2 but also with Cullin1 and then blocked the MDM2/Cullin1 interaction. This is the first report of an interaction between ribosomal proteins (RPs) and Cullin1. Our results contribute to the elucidation of the MDM2 stabilization mechanism in cancer cells, expanding our understanding of the new functions of RPs.
Should Pregnant Women Consume Probiotics to Combat Endocrine-Disrupting Chemical-Induced Health Risks to Their Unborn Offspring?
Authors: Rosenfeld Cheryl S.
Published: July 2024

Endocrine-disrupting chemicals (EDCs) have become so pervasive in our environment and daily lives that it is impossible to avoid contact with such compounds, including pregnant women seeking to minimize exposures to themselves and their unborn children. Developmental exposure of humans and rodent models to bisphenol A (BPA) and other EDCs is linked to increased anxiogenic behaviors, learning and memory deficits, and decreased socio-sexual behaviors. Prenatal exposure to BPA and other EDCs leads to longstanding and harmful effects on gut microbiota with reductions in beneficial bacteria, i.e., gut dysbiosis, and such microbial changes are linked to host changes in fecal metabolites, including those involved in carbohydrate metabolism and synthesis, and neurobehavioral alterations in adulthood, in particular, social and cognitive deficits. Gut dysbiosis is increasingly being recognized as a key driver of a myriad of diseases, ranging from metabolic, cardiovascular, reproductive, and neurobehavioral disorders via the gut-microbiome–brain axis. Thus, EDCs might induce indirect effects on physical and mental health by acting as microbiome-disrupting chemicals. Findings raise the important question as to whether pregnant women should consume a probiotic supplement to mitigate pernicious effects of EDCs, especially BPA, on themselves and their unborn offspring. Current studies investigating the effects of maternal probiotic supplementation on pregnant women’s health and that of their unborn offspring will be reviewed. Data will inform on the potential application of probiotic supplementation to reverse harmful effects of EDCs, especially BPA, in pregnant women unwittingly exposed to these compounds and striving to give their offspring the best start in life.
Ganoderma lucidum Polysaccharide Peptide Alleviates Cyclophosphamide-Induced Male Reproductive Injury by Reducing Oxidative Stress and Apoptosis
Authors: Zhang Hang , Li Nannan , Zhang Yukun , Xu Yue , Lu Feng , Lin Dongmei , Lin Shuqian , Li Min , Yang Baoxue
Published: July 2024

Chemotherapy is an important factor leading to male infertility. It is crucial to discover safe and effective treatments to prevent male reproductive injury caused by chemotherapy. The Ganoderma lucidum polysaccharide peptide (GLPP) has multiple pharmacological activities. The purpose of this study was to determine whether GLPP could protect the male sperm production from chemotherapeutic injury using a mouse model, with testicular damage induced by cyclophosphamide (CP). CP (50 mg/kg/day) was injected intraperitoneally into male ICR mice gavaged with different doses of GLPP at certain spermatogenic stages. The experimental results showed that GLPP alleviated the CP-induced reduction in reproductive organ coefficients and sperm parameters and reduced the morphological damage of testicular tissues in a dose-dependent manner. GLPP significantly improved the reproductive index, sperm-related parameters, sex hormone levels, and histological testis architecture at different spermatogenic stages. Furthermore, GLPP significantly increased superoxide dismutase (SOD), glutathione (GSH), catalase (CAT), Nrf2, and HO-1, and decreased malondialdehyde (MDA) and Keap-1 in the testicular tissue, indicating reduced oxidative stress. In addition, GLPP limited CP-induced apoptosis via a reduction in Bax expression and increase in Bcl-2 expression. This study suggests that GLPP plays a protective role in spermatogenesis by reducing chemotherapeutic injury and might be developed into drug for male patients receiving chemotherapy.
Mechanistic Insights and Therapeutic Strategies in Osteoporosis: A Comprehensive Review
Authors: Elahmer Nyruz Ramadan , Wong Sok Kuan , Mohamed Norazlina , Alias Ekram , Chin Kok-Yong , Muhammad Norliza
Published: July 2024

Osteoporosis, a metabolic bone disorder characterized by decreased bone mass per unit volume, poses a significant global health burden due to its association with heightened fracture risk and adverse impacts on patients’ quality of life. This review synthesizes the current understanding of the pathophysiological mechanisms underlying osteoporosis, with a focus on key regulatory pathways governing osteoblast and osteoclast activities. These pathways include RANK/RANKL/OPG, Wingless-int (Wnt)/β-catenin, and Jagged1/Notch1 signaling, alongside the involvement of parathyroid hormone (PTH) signaling, cytokine networks, and kynurenine in bone remodeling. Pharmacotherapeutic interventions targeting these pathways play a pivotal role in osteoporosis management. Anti-resorptive agents, such as bisphosphonates, estrogen replacement therapy/hormone replacement therapy (ERT/HRT), selective estrogen receptor modulators (SERMs), calcitonin, anti-RANKL antibodies, and cathepsin K inhibitors, aim to mitigate bone resorption. Conversely, anabolic agents, including PTH and anti-sclerostin drugs, stimulate bone formation. In addition to pharmacotherapy, nutritional supplementation with calcium, vitamin D, and vitamin K2 holds promise for osteoporosis prevention. However, despite the availability of therapeutic options, a substantial proportion of osteoporotic patients remain untreated, highlighting the need for improved clinical management strategies. This comprehensive review aims to provide clinicians and researchers with a mechanistic understanding of osteoporosis pathogenesis and the therapeutic mechanisms of existing medications. By elucidating these insights, this review seeks to inform evidence-based decision-making and optimize therapeutic outcomes for patients with osteoporosis.
Sex Differences in the Association between Prolonged Sitting Time and Anxiety Prevalence among Korean Adults
Authors: Kim Eunsoo , Park Chul-Hyun , Lee Hyun-Seung , Lee Mi Yeon , Cho Sung Joon
Published: July 2024

Sex differences in the effect of prolonged sitting time on anxiety symptoms have not yet been explored. This study examined the sex-specific association between prolonged sitting time and anxiety prevalence in Korean adults. Community-dwelling adults aged >18 years who underwent a cross-sectional structured study survey of physical activity and mental health tests were enrolled as part of the Kangbuk Samsung Hospital Cohort Study from 2012 to 2019. The prevalence of anxiety was evaluated using the Clinically Useful Anxiety Outcome Scale (CUXOS) questionnaire. The mean daily sitting time was 7.9 ± 3.4 h in men and 6.8 ± 3.6 h in women. After adjustments for possible confounding factors, the adjusted mean CUXOS score was the highest in participants sitting for ≥10 h, followed by 5–9 h, and <5 h, in that order. In the post-hoc Bonferroni analysis, there were significant differences in the adjusted mean CUXOS scores in group comparisons. A multivariate logistic regression analysis was conducted after adjusting for potential confounding factors. A prolonged sitting time was positively associated with an increased prevalence of anxiety in both men and women, with stronger associations in women than in men. It is necessary to prevent anxiety by adjusting or reducing sitting time in adults, especially women.
Identifying the Shared and Dissociable Neural Bases between Self-Worth and Moral Ambivalence
Authors: Li Jiwen , Wang Shuai , Du Tengfei , Tang Jianchao , Yang Juan
Published: July 2024

Self-ambivalence, a prevalent phenomenon in daily life, has been increasingly substantiated by research. It refers to conflicting self-views and evaluations, primarily concerning self-worth and morality. Previous behavioral research has distinguished self-worth and moral ambivalence, but it remains unclear whether they have separable neural bases. The present study addressed this question by examining resting-state brain activity (i.e., the fractional amplitude of low-frequency fluctuations, fALFF) and connectivity (i.e., resting-state functional connectivity, RSFC) in 112 college students. The results found that self-worth ambivalence was positively related to the fALFF in the orbitofrontal cortex (OFC) and left superior parietal lobule (SPL). The RSFC strength between the SPL and precuneus/posterior cingulate cortex (PCC) was positively related to self-worth ambivalence. Moral ambivalence was positively associated with the fALFF in the left SPL (extending into the temporoparietal junction) and right SPL. The RSFC strengths between the left SPL/TPJ and OFC, as well as the RSFC strengths between the right SPL as a seed and the bilateral middle and inferior temporal gyrus, were associated with moral ambivalence. Overall, the neural bases of self-worth and moral ambivalence are associated with the SPL and OFC, involved in attentional alertness and value representation, respectively. Additionally, the neural basis of moral ambivalence is associated with the TPJ, responsible for mentalizing.
The Relationship between Maladaptive Perfectionism and Anxiety in First-Year Undergraduate Students: A Moderated Mediation Model
Authors: Xiong Zhiheng , Liu Chunying , Song Meila , Ma Xiangzhen
Published: July 2024

To clarify the underlying mechanism of first-year undergraduate students’ maladaptive perfectionism in relation to their anxiety, this study constructs a mediating model with moderation, focusing on the investigation of the mediating role of self-compassion and the moderating role of family support. A total of 924 university students were involved in the investigation, responding to questionnaires on their maladaptive perfectionism, anxiety, self-compassion, and family support. The results showed that (1) after controlling for gender and Hukou, maladaptive perfectionism had a significant positive predictive effect on anxiety; (2) self-compassion can play a role in mediating the relationship between maladaptive perfectionism and anxiety; and (3) the mediating effect of self-compassion on anxiety in terms of maladaptive perfectionism was moderated by family support. The results of this study have important theoretical value and practical significance for improving first-year undergraduate students’ anxiety.
Relationships between Self-Efficacy and Teachers’ Well-Being in Middle School English Teachers: The Mediating Role of Teaching Satisfaction and Resilience
Authors: Wang Xiaochen , Gao Yang , Wang Qikai , Zhang Panpan
Published: July 2024

Teaching satisfaction and resilience play important roles in the education field, but most research focuses on higher education, with few scholars studying their impact on language teaching within the context of middle school education. In this sense, this study employs a mixed-methods research design, selecting 375 Chinese middle school English teachers to investigate the roles of teaching satisfaction and resilience in the relationship between self-efficacy and teachers’ well-being. A structural equation modeling approach and NVivo were utilized to analyze quantitative data and qualitative data, respectively. Quantitative results reveal that both teaching satisfaction and resilience mediate the relationship between self-efficacy and teachers’ well-being. Qualitative interviews reveal that teaching satisfaction primarily enhances job commitment, reduces job stress, improves student relationships, and increases professional growth. Meanwhile, resilience plays a crucial role in stress management, positive adaptation, and emotional regulation. This research offers insightful implications for improving teachers’ well-being and contributes significantly to the broader discourse on foreign language teacher education.
Priority Intervention Evaluation of Community Regeneration in Megacities Based on the Business Improvement District (BID) Model: A Case Study of Tianjin, China
Authors: Bai Wenjia , Chen Mingyu , Bai Fazhong , Huang Jingtao
Published: July 2024

This study aims to start from the macroscale of the megacity, explore a top-down operational technical path from the identification of community regeneration units as the evaluation objects to the BID priority intervention evaluation, and then propose differentiated community regeneration strategies based on the BID model. In the post-epidemic era, it is necessary for global megacities to take new measures in urban regeneration to respond to worldwide changes and challenges. As an innovative tool to promote central city revitalization, the BID model has played an important role in community transformation. In the context of the continuous decentralization of population and industry in China’s megacities, it is urgent to explore the technical path to apply the BID model to local community regeneration. Given the shortcomings of existing studies in the method to identify the scope of BID implementation and evaluate intervention priorities, this study takes Tianjin, a megacity in China, as an example and uses DBSCAN (density-based spatial clustering of applications with noise) and service area analysis to define the community regeneration units with commercial agglomeration characteristics as the objects. Then, the BID priority intervention evaluation system is constructed from the two measurement aspects of the intervention potential and the necessity of community regeneration to classify the BID intervention priorities of community regeneration units. The main conclusions are as follows: 1. When the DBSCAN analysis parameters take the minimum number of elements as 30 and the search distance as 120 m, the result is most suitable for identifying community units with commercial agglomeration of the study area; 2. Population vitality, especially working and residential population density, is the key factor affecting BID intervention potential, while road network density is an important indicator for determining the necessity of community regeneration; 3. Community regeneration units with high BID priority levels need to develop differentiated regeneration strategies combining their BID intervention potential, regeneration necessity characteristics, and location attributes. These conclusions can provide references for the governments of megacities to screen and establish BIDs.
Evaluation of Interlayer Reinforcement Effectiveness in Road Pavement Rehabilitation Using FEM Modeling and Fracture Mechanics Analysis
Authors: Antoniazzi Arianna , Ravizzoni Gianluca , Schiavone Cecilia , Crispino Maurizio , Toraldo Emanuele
Published: July 2024

In this paper, the effectiveness of reinforcements for flexible pavements is evaluated through an analysis of reflective cracking. Different stiffness and thickness reinforcements are considered for the rehabilitation of an already cracked pavement. The effect of the reinforcement is assessed from two different perspectives: (i) the ability to reduce stresses in the rehabilitated pavement layers, and (ii) the capacity to mitigate the crack propagation from deeper layers. A finite element model (FEM) is adopted to study the stress and strain state of the pavement layers. The pavement model has been properly validated, transitioning from a simply supported beam scheme to an elastic multilayer model. In addition, to represent crack propagation, fracture evolution is analyzed using Linear Elastic Fracture Mechanics (LEFMs) and Paris’ law. The effect of different reinforcements on the pavement is then simulated. The results show that the reinforcement performance is strictly dependent on the interlayer thickness and stiffness. In particular, high stiffness reinforcements (geomembranes) show increasing effectiveness with stiffness, both in terms of reflective cracking and stress reduction. Conversely, low stiffness reinforcements (SAMIs) show a variable trend with the stiffness modulus. In fact, extremely low stiffness is effective in slowing down crack propagation but is detrimental to the wearing course’s stress condition. However, as the stiffness increases, the likelihood of cracking in the wearing course decreases, though only a small beneficial effect is registered for crack propagation in the base layer.
District Heating Deployment and Energy-Saving Measures to Decarbonise the Building Stock in 100% Renewable Energy Systems
Authors: Pastore Lorenzo Mario , Groppi Daniele , Feijoo Felipe
Published: July 2024

Achieving a zero-emission building heating sector requires numerous strategies and detailed energy planning, in order to identify the optimal decarbonisation pathway. This work aims to assess the impact of district heating expansion and the implementation of energy-saving measures on the decarbonisation of the Italian building stock by 2050, analysing their combined impact, reciprocal effects, and technical–economic implications on the entire national energy system. The scenarios have been implemented and simulated with the H2RES software, a long-term energy planning optimisation model, built for the Italian national energy system. Results indicate that it is possible to decarbonise the heating system in an efficient and cost-effective manner by the year 2040. Heat pumps represent the optimal technology at both centralised and decentralised levels. District heating expansion is a priority for the decarbonisation of the building stock, allowing us to reduce costs, exploit thermal storage systems and provide system flexibility. In the best scenario, 40% of the Italian heat demand can be supplied by fourth-generation district heating. Energy-saving measures can reduce heat demand and primary energy but at higher annual costs and with a significant increase in investment. The combined simulation of the strategies within an optimisation model of the entire energy system enables the accurate assessment of the real impact of the various measures, considering their reciprocal effects and technical–economic implications.
Building-Integrated Photovoltaics in Existing Buildings: A Novel PV Roofing System
Authors: Del Pero Claudio , Leonforte Fabrizio , Aste Niccolò
Published: July 2024

Among renewable energy generation technologies, photovoltaics has a pivotal role in reaching the EU’s decarbonization goals. In particular, building-integrated photovoltaic (BIPV) systems are attracting increasing interest since they are a fundamental element that allows buildings to abate their CO2 emissions while also performing functions typical of traditional building components, such as sealing against water. In such a context, since one of the main challenges to decarbonizing the building sector lies in the retrofitting of existing buildings, the current paper is focused on the design, development, and testing of a novel roofing BIPV system. The entire research was carried out as part of the Horizon 2020 HEART project. In more detail, the research analyzed the requirements of typical pitched tile roofs, which are currently the most common type in Europe, and developed a universal photovoltaic tile that can be easily and quickly integrated into such a type of roof. The research was also aimed at minimizing the embodied energy of the component and promoting disassembly and recycling at the end of life, fully in line with a circular economy perspective. The adopted design and development processes are described in detail in the present paper, along with the results of several tests performed in the field. In addition, further development prospects of the component, aimed at meeting the integration requirements in historic buildings, are finally presented.
The TRUST Study—TRansition US Together: Evaluating the Impact of a Parent- and Adolescent-Centered Transition Toolkit on Transition Readiness in Patients with Juvenile Idiopathic Arthritis and Childhood-Onset Systemic Lupus Erythematosus
Authors: Heera Simran , Beattie Karen , Punthakee Zubin , DiRezze Briano , Herrington Julie , Cellucci Tania , Heale Liane , Matsos Mark , Gorter Jan Willem , Batthish Michelle
Published: July 2024

Objective: Adolescents with chronic rheumatic disease must increasingly take on more responsibility for disease management from parents as they transition from pediatric to adult care. Yet, there are limited resources to inform and support parents about transition. Here, we evaluate the impact of a Transition Toolkit, geared towards parents and adolescents, on transition readiness, and explore the potential impact of parent–adolescent communication. Methods: A prospective cohort study of youths aged 14–18 years old and their parents was performed. Participant demographics, disease characteristics, transition readiness scores (Transition-Q, max 100), and parent–adolescent communication scores (PACS, max 100) were collected at enrollment (when the Transition Toolkit was shared with adolescents and their parents. Generalized estimating equation (GEE) analyses determined the influence of the Toolkit on transition readiness and explored the role of parent–adolescent communication quality. Subgroup analyses were conducted by sex. Results: A total of 21 patients were included; 19 completed one post-intervention Transition-Q and 16 completed two. Transition-Q scores increased over time and the rate of increase doubled after the Toolkit was shared (β = 7.8, p < 0.05, and β = 15.5, p < 0.05, respectively). Conclusion: Transition readiness improved at each follow-up, the greatest increase was seen after the Toolkit was shared. Parent–adolescent communication quality did not appear to impact changes in transition readiness.
Leisure Time Habits and Levels of Physical Activity in Children and Adolescents
Authors: Mijarra-Murillo Juan-José , Polo-Recuero Beatriz , Solera-Alfonso Adrián , Arribas-Romano Alberto , García-González Miriam , Laguarta-Val Sofía , Delfa-de-la-Morena José Manuel
Published: July 2024

Background/Objectives: Childhood and adolescence are important stages of life for acquiring healthy habits. There is a high prevalence of sedentary lifestyles worldwide during these ages, which negatively impacts health. This is attributed, in part, to excessive time spent engaging in sedentary behaviors. The aim of this study was to assess the time spent on sedentary behaviors and their relationship with physical activity levels in children and adolescents in the Community of Madrid. Methods:A total of 26,729 participants aged 10–17 from various schools and institutes took part in this study. The International Physical Activity Questionnaire Short Form (IPAQ-SF) was used, and they were asked about the time they spent on different leisure time habits (specific sedentary behaviors and organized physical activity). A generalized linear model was used to analyze the association between the time spent in sedentary activities and the time spent in physical activity. Results: The results revealed that children and adolescents engage in low levels of physical activity and most of them spend considerable time in sedentary behaviors such as studying, watching television, or using social media. Completing school homework (Coef: 1.23, 95% CI: −0.51 to 2.97, p = 0.167) or using social media for more than 2 h (Coef: 1.29, 95% CI: −2.98 to 0.40, p = 0.133) compared to not dedicating time to them did not show a significant association with daily physical activity time. Watching television for more than 2 h was associated with a decrease of 2.60 min (95% CI: −4.41 to −0.78, p = 0.005). Thus, no or only irrelevant associations were found between time spent in sedentary activities and physical activity time. Conclusions: Despite the drawbacks of spending time engaging in sedentary behaviors, they seem to be compatible with physical activity levels. Therefore, it is important to continue research on physical activity adherence strategies to promote overall health and well-being.
High-Quality 4H-SiC Homogeneous Epitaxy via Homemade Horizontal Hot-Wall Reactor
Authors: Gong Xiaoliang , Xie Tianle , Hu Fan , Li Ping , Ba Sai , Wang Liancheng , Zhu Wenhui
Published: July 2024

In this paper, using a self-developed silicon carbide epitaxial reactor, we obtained high-quality 6-inch epitaxial wafers with doping concentration uniformity less than 2%, thickness uniformity less than 1% and roughness less than 0.2 nm on domestic substrates, which meets the application requirements of high-quality Schottky Barrier Diode (SBD) and Metal–Oxide–Semiconductor Field-Effect Transistor (MOSFET) devices. We found that increasing the carrier gas flow rate can minimize source gas depletion and optimize the doping uniformity of the 6-inch epitaxial wafer from over 5% to less than 2%. Moreover, reducing the C/Si ratio significantly can suppress the “two-dimensional nucleation growth mode” and improve the wafer surface roughness Ra from 1.82 nm to 0.16 nm.
Experimental Study on Microalloyed Steel with Layers Subjected to Diesel
Authors: López Perrusquia Noé , de la Mora Ramírez Tomas , Pérez Mendoza Gerardo Julián , Olmos Domínguez Víctor Hugo , Sánchez Huitron David , Doñu Ruiz Marco Antonio
Published: July 2024

This work studies the mechanical behavior of microalloyed steels (API X60 and API X70) with boride layers using a boriding process and immersion in diesel. First, the microalloyed steels were borided using dehydrated boron paste at a temperature of 1273 K for 6 h, and then the borided microalloyed steels were immersed in diesel for one year. The characterization of the layers on the specimens subjected to diesel used scanning electron microscopy (SEM), energy dispersive spectroscopy, and X-ray diffraction (XRD). The evaluation of the mechanical properties was performed with tensile tests according to ASTM E8, and then the fracture surface was observed by SEM. This work contributes to the understanding of the changes in the mechanical properties of borided microalloyed steel immersed in diesel for possible potential applications in the storage of fuels, oils, hydrogen, and biofuels.
Evaluation of Slurry-Eroded Rubber Surface Using Gloss Measurement
Authors: Chailad Wichain , Yang Liu
Published: July 2024

Slurry erosion testing is essential for evaluating the durability of materials under erosive conditions. This study examines the slurry erosion behaviours of chloroprene rubber (CR) under varying impact conditions to assess its durability. Traditional mass loss methods and qualitative techniques, including microscopy, SEM, and AFM, were employed to analyse eroded CR samples. Results indicate that cumulative material loss in CR increases linearly with sand impingement after approximately 60 kg of sand and correlates with an impact energy of about 30 kJ. The highest erosion rate was found at an impact angle of 15°. Erosion mechanisms vary with impact angle, affecting surface topography from cutting and ploughing at lower angles to deformation and crater formation at higher angles. Despite their efficacy, these methods are time-intensive and costly. This paper presents a novel approach utilising gloss measurement for continuous, non-destructive monitoring of eroded rubber surfaces. Gloss measurements are 24 times faster than traditional mass loss methods. Correlating gloss values with cumulative material loss, steady-state erosion, and impact energy offers significant time savings and an enhanced understanding of the erosion process. Experimental results demonstrate the effectiveness of gloss measurement as a reliable tool in slurry erosion testing of rubbers. The quantitative output from gloss measurements could support proactive maintenance strategies to extend service life and optimise operational efficiency in industrial applications, particularly in the mining industry.
Advancements and Perspectives in Additive Manufacturing of Tungsten Alloys and Composites: Challenges and Solutions
Authors: Zarinejad Mehrdad , Tong Yunxiang , Salehi Mojtaba , Mu Chengfa , Wang Nian , Xu Yonglong , Rimaz Sajjad , Tian Lintao , Kuah Kai Xiang , Chen Xiaotong
Published: July 2024

This review explores additive manufacturing (AM) for refractory tungsten (W) and its alloys, highlighting the primary challenges and determining factors in the AM of pure W, W alloys and composites. The challenges mainly arise from W’s high melting point, low laser absorptivity, high thermal conductivity, high melt viscosity, high oxygen affinity, high ductile-to-brittle transition temperature, and inherent embrittlement, which lead to defects and anomalies in AM-produced parts. This review focuses on both processes and alloying strategies to address the issues related to densification, micro-cracking, and the resultant properties in W-based components. Cracking in additively manufactured W remains a persistent issue due to thermal stress, embrittlement, and oxide formation. Powder characteristics, process parameters, and thermal management strategies are crucial for W densification. Throughout the review, existing knowledge and insights are organized into comprehensive tables, serving as valuable resources for researchers delving deeper into this topic. Future research in W-AM should focus on understanding the interaction between AM process parameters and microstructural and material design. Advances in atomic-level understanding, thermodynamic modeling, and data analytics have the potential to significantly enhance the precision, sustainability, and applicability of W-AM.
A Visualized Microstructure Evolution Model Integrating an Analytical Cutting Model with a Cellular Automaton Method during NiTi Smart Alloy Machining
Authors: Wang Jiaqi , Li Ming , Li Qingguang , Pan Xianchao , Wang Zixuan , Jia Jing , Liu Renti , Zhou Yunguang , Ma Lianjie , Yu Tianbiao
Published: July 2024

In this study, a visualized microstructure evolution model for the primary shear zone during NiTi smart alloy machining was established by integrating an analytical cutting model with a cellular automaton method. Experimental verification was conducted using an invented electromagnet rotation-type quick-stop device. The flow stress curve during the dynamic recrystallization of the NiTi smart alloy, the influence of relevant parameters on the dynamic recrystallization process, and the distribution of dynamic recrystallization in the primary shear zone were studied via the model. The simulation results showed that strain rate and deformation temperature significantly affect the relevant parameters during the dynamic recrystallization process. Three typical shear planes were selected for a comparison between simulation results and experimental results, with a minimum error of 3.76% and a maximum error of 11.26%, demonstrating that the model accurately simulates the microstructure evolution of the NiTi smart alloy during the cutting process. These results contribute theoretical and experimental insights into understanding the cutting mechanism of the NiTi smart alloy.
Endoscopic Ultrasound-Guided Through-the-Needle Biopsy: A Narrative Review of the Technique and Its Emerging Role in Pancreatic Cyst Diagnosis
Authors: Vilas-Boas Filipe , Ribeiro Tiago , Macedo Guilherme , Dhar Jahnvi , Samanta Jayanta , Sina Sokol , Manfrin Erminia , Facciorusso Antonio , Conti Bellocchi Maria Cristina , De Pretis Nicolò , Frulloni Luca , Crinò Stefano Francesco
Published: July 2024

Pancreatic cystic lesions (PCLs) pose a diagnostic challenge due to their increasing incidence and the limitations of cross-sectional imaging and endoscopic-ultrasound-guided fine-needle aspiration (EUS-FNA). EUS-guided through the needle biopsy (EUS-TTNB) has emerged as a promising tool for improving the accuracy of cyst type determination and neoplastic risk stratification. EUS-TTNB demonstrates superior diagnostic performance over EUS-FNA, providing critical preoperative information that can significantly influence patient management and reduce unnecessary surgeries. However, the procedure has risks, with an overall adverse event rate of approximately 9%. Preventive measures and further prospective studies are essential to optimize its safety and efficacy. This review highlights the potential of EUS-TTNB to enhance the diagnostic and management approaches for patients with PCLs. It examines the current state of EUS-TTNB, including available devices, indications, procedural techniques, specimen handling, diagnostic yield, clinical impact, and associated adverse events.
Gender Differences in Computational Thinking Skills among Primary and Secondary School Students: A Systematic Review
Authors: Lin Shenglan , Wong Gary K. W.
Published: July 2024

With the rise of the concept of gender equality and the emphasis on computational thinking, more and more research on computational thinking is being placed in the context of gender differences to promote gender equality. This systematic review examines and analyzes 23 articles that focus on gender differences in computational thinking skills among primary and secondary school students, providing a comprehensive overview of the existing literature while also providing direction and framework for future research. The results show that (1) the current research is imbalanced across regions and age groups, and the research on inherent gender differences in computational thinking skills remains insufficient; (2) the development of a clearer and more specific definition of computational thinking and corresponding assessment instrument is required for a more specific identification of gender differences; (3) under the existing educational environments, gender differences in computational thinking skills among students in different regions exhibit different pattern; and (4) interventional factors contributing to gender effects in interventions have also been identified.
Home Schooling and the Future Labor Market—Is There an Adequate Educational Answer for the Extensive Changes in the Labor Market?
Authors: Guterman Oz , Neuman Ari , Gill Efrat
Published: July 2024

Various aspects of human existence are changing, and these changes are having a significant effect on the current and future labor market. Some occupations are estimated to be at high risk of disappearing over the next several decades, others are at medium risk, while some are at low risk. At the same time, new trades are emerging. In order to successfully cope in an era where changes occur so frequently and so rapidly, and to be a part of the current and future labor market, we need to utilize a certain set of skills and competencies that is often referred to as “21st century skills”. This opinion paper argues that homeschooling is an education path that takes into account the extensive rapid changes in the 21st century as well as in the labor market and strives to give children the skills and competencies to cope with them successfully.
Faculty and Student Perspectives on Online Learning in Higher Education
Authors: Yan Meng , Pourdavood Roland Ghollam
Published: July 2024

The international transforming learning community, coupled with cultural diversity and technological complexities, spurred an unprecedented acceleration in the adoption of online learning. This reshaped the educational landscape, presenting both challenges and opportunities for educators and learners worldwide. To provide insights into the use of information technology and online learning in higher education and to inform future practices, this qualitative study investigated university faculty and students’ online learning experiences. Purposeful sampling was employed to ensure a diverse selection of participants. Eight faculty and eight students from diverse higher education institutions in the U.S. participated in one-on-one interviews. The study utilized a social constructivist interpretive paradigm, and data were analyzed using iterative categorization. Findings revealed concerns about online learning effectiveness due to limited social interaction. Three main themes emerged: challenges encountered, student engagement, and strategies to improve online learning effectiveness. This research enriches the scholarly discourse on online education by elucidating faculty and student perceptions regarding factors impacting the effectiveness of online learning and sustainable teaching strategies for future higher education. It highlights a paradigm shift in higher education and emphasizes the importance of equitable access to digital resources and inclusive policies to address disparities in online learning support, promoting equity and social justice in education.
A High-Speed Silicon Ring Modulator with a Large Working Wavelength Range
Authors: Xu Fan , Zhang Shun , Gao Xiangyu , Wang Wei , Yue Wencheng , Xu Qiang , Wang Shuxiao , Cai Yan
Published: July 2024

With the advantages of high speed, small size, and easy integration, the silicon photonic resonant ring modulator has gradually become a critical device for emerging integrated optical platforms. Ring modulators are primarily used in optical communications, optical computing, artificial intelligence, and other fields. In this work, the proposed ring modulator can operate in both the O- and C-bands. The 3 dB electro-optical (EO) bandwidth of the ring modulator is 39 GHz and 34 GHz at −4 V in the O-band and C-band, respectively. The modulation efficiency of the device is 0.92 V·cm and 0.95 V·cm in the O-band and C-band, respectively. The eye diagram of an optical output signal from the device is tested using a 100 Gbit/s non-return-to-zero (NRZ) input signal with a 2.5 Vpp in both the O-band and C-band. The modulation speed can reach 140 Gb/s and 120 Gb/s in the O-band and C-band with four-level pulse amplitude modulation (PAM-4) formats at a voltage swing of 2.5 Vpp, respectively.