bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence and associated factors of denture use among elderly living in rural and urban areas of China: A national cross-sectional study
Authors: Lin Yuxin Eva , Zhang Xiaoyue , Chen Meijun , Ji Ying , Shi Yuhui , Lin Yuting , Cao Wangnan , Chang Chun 
Published: August 2023

Abstract
Backgrounds:
Tooth loss, often considered as an inevitable result of ageing, is one of the most frequently stated problems with older adults worldwide, which entails a negative impact on physical and mental health, as well as quality of life. However, there is urban-rural gap among older adults in both oral health condition and dental service utilization. The study focused on the urban-rural gap in Chinese older population, aiming to describe their tooth loss and denture use status, and explore the associated factors, hoping to provide insights into improving the oral healthcare system in China and other developing countries.
Methods
This cross-sectional study used data collected from May to September in 2020. A stratified, multi-stage cluster sampling design was used to produce nationally representative samples of adults aged 60 years and older. The dependent variable was denture use of the participant. Determinants included demographic characteristics, health status, social support, oral health knowledge and health service utilization. Descriptive analysis was conducted to describe the sample characteristics, and logistic regression analysis was used to identify independent factors associated with denture use among older adults in rural and urban China respectively.
Results
There were significantly urban-rural differences in tooth loss, denture use and health service utilization among Chinese older adults. Urban participants who used dentures tended to have higher oral health knowledge levels (OR = 1.714, 95%CI = 1.280–2.297), have dental check-ups in 6 months (OR = 1.718, 95%CI = 1.267–2.329), and have higher levels of social support (OR = 1.749, 95%CI = 1.323–2.313). Rural participants who were older (70–74: OR = 1.600, 95%CI = 1.010–2.534; 75+: OR = 1.621, 95%CI = 1.016–2.584; 60–64 as the reference group), had higher oral health knowledge levels (OR = 1.933, 95%CI = 1.467–2.545), had dental checkups in 6 months (OR = 1.607, 95%CI = 1.113–2.321), and assessed their health status as higher (OR = 1.431, 95%CI = 1.024–1.998) were more likely to use dentures.
Conclusions
Greater efforts should be made to enhance oral health education and emphasize the importance of regular dental checkups among older population. Targeted focus on different aspects of oral health based on the characteristics of different populations is suggested. Policymakers should be aware of the urban-rural disparity in distribution and utilization of oral health services.
Local exosomes and Hoxa11 status affect the healing fate during autogenous bone grafting at different sites
Authors: Wang Xing , Hao Yujia , Chen Xiaohang , Zhou Zilan , Xie Qingpeng , Song Haoyue , Hong Jinjia , Li Na , Wang Jia 
Published: August 2023

Abstract
The gold standard for the repair of bone defects arising from trauma, infection, resection, or tumors continues to be autogenous bone grafting. The healing of autogenous bone grafts is affected by the following local factors: immunological tolerance, blood supply and biological mechanical stress, which cannot be discussed independently without considering the specific sites of the receptor and donor bones. With respect to bone structure, bone composition, the pattern of osteogenesis or embryonic development origins, the site-related differences in properties between long bone and maxillofacial bone are of great importance among the bones distributed throughout the body. Here, we report that grafting bone blocks from mesoderm-derived femurs has poorer restorative performance than grafting bone blocks from cranial neural crest-derived mandibles. Furthermore, there are disparities in osteogenic repair when the same femur block is transplanted to repair defects in different locations (mandible or femur). Specifically, the femur with mandible as the recipient bed shows advantages in newly formed bone area, bone mineral density, collagen fiber structure and mineralization degree. Mechanistically, exosomes of bone marrow mesenchymal stem cells (BMSCs) from the mandible recipient bed mediate the positive healing influence on femur grafting blocks via the miR-126a-5p/Hoxa11 axis during autogenous transdevelopmental lineage transplantation.
Climate damage projections beyond annual temperature
Authors: Waidelich Paul , Batibeniz Fulden , Rising James A. , Kikstra Jarmo , Seneviratne Sonia 
Published: August 2023

Abstract
Recent studies have linked variability and extremes in temperature and precipitation to lower economic growth, but global GDP projections under climate change remain focused on annual temperatures. Here we combine empirical dose-response functions for temperature variability, rainfall deviations, and extreme precipitation with 33 CMIP6 models to examine GDP impacts under different warming levels. We find that at +3°C, global average losses amount to 8% of GDP, with the worst effects (up to 13%) in poorer, low-latitude countries. Relative to annual temperature damages, the additional GDP impacts of projecting variability and extremes are smaller and dominated by inter-annual variability, especially in lower latitudes. However, accounting for variability and extremes when estimating temperature dose-response functions raises global GDP losses by over 1%-pt. Since tail risks for economic growth are substantial, our results emphasize the need for region-specific risk assessments and reducing uncertainties around future variability and extremes, particularly for developing countries.
Deficiency of FRMD5 results in neurodevelopmental dysfunction and autistic-like behavior in mice
Authors: Wang Yun , Lyu Tian-Jie , Ma Ji , Zhang Xi-Yin , Xie Guo-Guang , Liu Cheng , Du Juan , Xu Yi-Nuo , Yang De-Chao , Cen Cheng , Wang Meng-Yuan , Lyu Na-Yun , Zhang Hong-Quan 
Published: August 2023

Abstract
Postsynaptic scaffolding proteins are causally associated with the pathophysiology of autism spectrum disorders (ASDs), a finding that is supported by several large-scale genomic studies 1,2 as well as in vitro and in vivo neurobiological studies of mutations in animal models 3,4. However, since ASD patients illustrate distinct phenotypic and genetic heterogeneity, each individual mutation gene accounts for only a small proportion (<2%) of cases 1,5. Recently, a human genetic study indicated that de novo variants in FERM domain-containing-5 (FRMD5) are related to neurodevelopmental abnormalities 6. Here, we reveal that deficiency of the scaffolding protein FRMD5 results in neurodevelopmental dysfunction and ASD-like behavior in mice. FRMD5 deficiency leads to morphological abnormalities in neurons and synaptic dysfunction in mice. Frmd5-deficient mice exhibited learning and memory dysfunction, impaired social function, and increased repetitive stereotyped behavior. Mechanistically, tandem mass tag (TMT)-labeled quantitative proteomics showed that FRMD5 deletion affected the distribution of synaptic proteins involved in the pathological process of ASD. Taken together, our findings first delineate the critical role of FRMD5 in neurodevelopment and ASD pathophysiology, indicating a therapeutic potential for the treatment of ASD.
Fuzzy Cognitive Maps for Algorithmic Decision Making in eMental Health
Authors: Brandl Lena , Jansen-Kosterink Stephanie , Hofs Dennis , Heylen Dirk K.J. 
Published: August 2023

Abstract

Background: eMental health is on the rise to meet growing global mental healthcare needs and so is the need for applications with automatic decision-making capabilities to support clinical practitioners and to personalize eMental health interventions to their users. However, due to unresolved challenges and clinicians’ reluctance to adopt artificial intelligence in mental healthcare, the technology’s current state in mental health is still in the phase of proof-of-concepts rather than providing decision making algorithms that are ready to create clinical impact. Fuzzy cognitive maps (FCMs), a soft computing technique that leverages expert knowledge by combining cognitive maps with fuzzy logic, can be an alternative approach to equipping eMental health with automatic decision-making capabilities.
Method: This article provides an introduction to FCMs for developing decision algorithms for eMental health. It demonstrates step by step how FCMs are developed, based on an example from mental health, while discussing challenges and future directions for research.
Results: FCMs are a viable option at the disposal of developers and researchers in the field of eMental health that come with their own set of advantages and challenges: (1) they allow the construction of initial mental health decision models without depending on the availability of large amounts of historical client data, (2) they are explainable, and (3) they involve clinicians in the construction process, inherently promoting professionals’ acceptance of the resulting algorithm. Regarding challenges, (4) there is a pronounced trade-off between the simplicity of FCMs and the accurate representation of mental health constructs since their approach offers limited ways for modelling beyond direct causality and for including temporal aspects of mental health problems, and (5) FCM decision models are not usually on par with data-driven black box AI models in terms of classification accuracy.
Conclusion: FCMs are an interesting and promising alternative modelling approach for developing decision-making algorithms in eMental health. Their inherent expert-basis, explainability and independence of large clinical data sets to arrive at initial usable decision models makes them especially attractive for the mental health domain.
Topical application of calcitonin gene-related peptide as a regenerative, antifibrotic, and immunomodulatory therapy for corneal injury
Authors: Zidan Asmaa , Zhu Shuyan , Elbasiony Elsayed , Najafi Sheyda , Lin Zhirong , Singh Rohan Bir , Naderi Amirreza , Yin Jia 
Published: August 2023

Abstract
Calcitonin gene-related peptide (CGRP) is a multifunctional neuropeptide abundantly expressed by corneal nerves. Using a murine model of corneal mechanical injury, we found CGRP levels in the cornea to be significantly reduced after injury. Topical application of CGRP as an eye drop accelerates corneal epithelial wound closure, reduces corneal opacification, and prevents corneal edema after injury in vivo. We then used a series of in vitro and in vivo techniques to investigate the mechanisms underlying CGRP’s functions. CGRP promotes corneal epithelial cell migration, proliferation, and the secretion of laminin. It reduces TGF-β1 signaling and prevents TGF-β1-mediated stromal fibroblast activation and tissue fibrosis. CGRP reduces corneal endothelial cell apoptosis, preserves cell density and morphology, and promotes their pump function, thus reducing edema. Lastly, CGRP reduces neutrophil infiltration, macrophage maturation, and the production of inflammatory cytokines in the cornea. Taken together, our results show that corneal nerve-derived CGRP plays a cyto-protective, pro-regenerative, anti-fibrotic, and anti-inflammatory role in corneal wound healing. Given that current treatment options for corneal injury and opacity are scarce, CGRP has significant therapeutic potential in this area of unmet medical needs. In addition, our results highlight the critical role of sensory nerves in ocular surface homeostasis and injury repair.
A Simple Time-Domain BEM Model for Heterogeneous Orthotropic Hill-Shaped Topographies Under Attenuated Incident SH-Wave
Authors: Mojtabazadeh-Hasanlouei Saeed , Panji Mehdi , Kamalian Mohsen 
Published: August 2023

Abstract
A simple numeric model named DASBEM was successfully developed to analyze the seismic heterogeneous orthotropic hill-shaped topographies by a time-domain boundary element method based on half-space Green’s functions. The model was elaborated only by discretizing the hill surface and its interface with the underlying half-space in the use of image source theory and substructure approach. To improve the model at the corners, the double node procedure was applied to extreme nodes of the used quadratic elements. An attenuation ratio is implemented in the boundary equations using a decremental exponential function. After presenting the technique, a validation example presented beside the literature to measure the convergence with an isotropic response. Then, a sample Gaussian–shaped hill model is prepared under propagating obliquely incident SH-waves as common sample topography and the surface response is obtained by considering some significant parameters as well as the shape ratio, isotropy factor, frequency content, and angle of the incident wave. The ground surface response is sensitized in two time and frequency realms. The results showed that the amplitude of the response was not only dependent on the impedance ratio but also the isotropy ratio was always effective in orienting the wavefront to amplify the ground movement.
Boolean dimension of a Boolean lattice
Authors: Briański Marcin , Hodor Jędrzej , La Hoang , Micek Piotr , Michno Katzper 
Published: August 2023

Abstract
For every integer $n$ with $n \geq 6$, we prove that the Boolean dimension of a poset consisting of all the subsets of $\{1,\dots,n\}$ equipped with the inclusion relation is strictly less than $n$.
Generalizing to Unseen Domains via Patch Mix
Authors: Yang Juncheng , Li Zuchao , Li Chao , Xie Shuai , Yu Wei , Li Shijun 
Published: August 2023

Abstract
Domain Generalization (DG) aims to transfer knowledge learned from multiple source domains to unseen domains. One of the primary challenges hinders DG is the insufficient diversity of source domains, which hampers the model's ability to learn to generalize.
Traditional data augmentation methods, which fuse content, style, labels, etc., unable to effectively learn the global features from the source domains.
In this paper, we present an innovative approach to domain generalization learning technique, called PatchMix, by stitching the patches of different source domains together to build domain mixed samples.
This approach helps the model to learn the common features of different source domains at every glimpse.
Meanwhile, a domain discriminator is introduced to preserve the model's ability to distinguish the source domains, which is proved to be helpful for the model to generalize to unseen domains.
To our best knowledge, we are the first to unveil the equation that elucidates the correlation between the number of patches and the number of source domains. Our method, PatchMix, outperforms the current state-of-the-art (SOTA) on four benchmark datasets.
Elemental Imaging and Correlation Analysis of Human Glioblastoma U87 Cells treated with Cisplatin using μ-PIXE
Authors: Fonteles Henrique , Klippel Theylor , Marcolin Julia , Bauer Deiverti , Lenz Guido , Dias Johnny , Grande Pedro 
Published: August 2023

Abstract
Cisplatin (Pt(NH4)2Cl2) and other platinum-based drugs are widely used medications that treat several different cancers, including, but not limited to, ovarian, testicular, and neck. This study presents an investigation into the correlation between the distribution of cellular platinum concentration and other elements in human glioblastoma U87 cells using the μ-PIXE technique. Cells were treated with cisplatin at concentrations of 10, 20, and 100 μM for 24 hours. The μ-PIXE technique enabled the quantification of the elements in the cells and allowed the generation of two-dimensional elemental maps with micrometric spatial resolution. By measuring the chlorine and platinum signals, we were able to identify single cells in the samples and detect those with higher platinum concentrations respectively. Moreover, we observed that the 100 μM sample had a high iron signal correlating with the platinum signal, which was not present at lower treatment concentrations. This result may indicate the induction of ferroptosis, i.e. a type of iron-dependent cell death completely independent from apoptosis.
Analysis of COVID-19 model under Caputo fractional derivative with case study of Algeria
Authors: Benterki Abdessalem , Benbachir Maamar 
Published: August 2023

Abstract
This research article examines the local existence and uniqueness of solutions to a fractional-order susceptible-exposed-infectious-quarantined-recovered-deceased-protected differential system modeling the spread of the Covid-19 pandemic in Algeria. The authors leverage fixed point theory within the framework of partial metric spaces to prove the existence and uniqueness of the solutions to the derived fractional differential equations comprising the SEIQRDP model. Their approach provides a theoretical basis for establishing the validity of the fractional-order Covid-19 epidemic model using fixed point theory in partial metric spaces. The fractional-order SEIQRDP model is verified through numerical simulations and graphical demonstrations specifically for Algeria’s Covid-19 outbreak to validate the theoretical results. The numerical solutions illustrate how the susceptible, exposed, infectious, quarantined, recovered, deceased and protected populations in Algeria evolve over time under different parameters of the mathematical model, offering decision makers valuable insights for formulating effective mitigation strategies tailored to Algeria’s Covid-19 crisis. The numerical and graphical demonstrations demonstrate that the fractional-order SEIQRDP model can adequately capture the distinctive characteristics of Algeria’s Covid-19 propagation dynamics.
Mathematics Subject Classification (2000) 26A33 · 34A12 · 54H25.
Evaluate the importance of giving antenatal corticosteroids in respiratory distress syndrome in preterm neonates
Authors: Reddy Adarsh , Reddy Vanaja , Reddy Gottam Archana , Nimmala Niveditha Reddy 
Published: August 2023

Respiratory distress syndrome (RDS) is one of the leading causes of early neonatal morbidity and mortality in late preterm infants (LPIs) worldwide.
The aim: The study is intended to evaluate the importance of giving antenatal corticosteroids in decreasing respiratory distress syndrome in preterm neonates.
Materials and methods: Prospective cohort study done in all preterms delivered in the hospital attached to those admitted in our neonatal intensive care unit during the study duration are taken as the source. All preterm babies are admitted to the neonatal intensive care unit.
Results: The overall incidence of RDS in this study was 30 (15 %), among which 7 (7 %) were exposed to steroids, and 23 (23 %) were not exposed to steroids. Antenatal corticosteroids were significantly associated with reduced incidence of RDS in preterms (neonates born between 28–37 weeks of gestational age). The overall incidence of TTN (transient tachypnea) was found to be 46 (28 %) in this study, among which 14 (14 %) were exposed to steroids, and 32 (32 %) were not exposed to steroids. Antenatal corticosteroids were significantly associated with reduced incidence of TTN in preterms. Antenatal corticosteroids significantly reduce the need for supplemental oxygen, NICU admission, need for CPAP and mortality rate. The dose of antenatal corticosteroids was significantly associated with the incidence of RDS and TTN. 2 doses of steroids reduced RDS and TTN significantly compared to the single dose, which was just significantly associated. This study found no significance between RDS and TTN with gestational age, mode of delivery, birth weight and RDS among steroid-exposed babies.
Conclusion: The use of antenatal corticosteroids should be promoted because they successfully lowered morbidity and mortality among premature newborns in the population studied. In order to optimise proper and timely prenatal corticosteroid treatment, this study underlines the necessity for quality improvement initiatives.
Investigating the Properties of Drainage Concrete Pavement through the Pore Creation Method: A Study
Authors: Oonta-on Kwanchanok , Utainarumol Supornchai , Maho Buchit , Jamnam Sittsak , Chaikaew Chalermpol , Sua-iam Gritsada 
Published: August 2023

Background:
Over the past decade, the pervious concrete pavement has become a popular innovation due to its highly porous spaces that allow for easy air and water flow from the surface to the underlying layers. However, the increased void content could potentially make the concrete weaker and less durable, which creates a need for alternative methods to maintain its strength while improving its drainage capabilities.

Objective:
This study aims to analyze the characteristics of drainage concrete pavement using a novel method for creating pore structures.

Methods:
To address the challenges of conventional concrete pavement, various pore patterns and diameters were examined, including a 2x2, 3x3, and 4x4 row arrangement with pore diameters of 2, 3, and 4 mm. The concrete mixture was formulated to comply with the standards established by the Department of Highways in Thailand. The study analyzed both the fresh concrete properties, such as slump test and setting time, and the hardened properties, such as compressive strength, flexural strength, and water absorption. The draining capability was evaluated through water permeability performance and the clogging effect was measured by very fine sand particles.

Results:
The test results showed that the slump value of concrete complied with the design specifications, and the initial setting time was recorded to be 230 minutes. The compressive strength and flexural strength tended to decrease while water absorption tended to increase as the pore pattern arrangement and pore diameter increased. However, the compressive strength of all mixtures exceeded 85% when compared to the control. Additionally, the water permeability coefficient ranged between 2.69-18.52 mm/s, and the permeability coefficient tended to decrease when the clogging effect occurred in the range of 18.18-37.27%.

Conclusion:
The findings of this study contributed to our understanding of the properties and behavior of concrete with pore creation. By refining our knowledge of the intricate correlation between porosity and compressive strength, it has become evident that reducing porosity is necessary to enhance the mechanical properties of concrete and ensure its long-term durability. Furthermore, sustainable infrastructure applications can improve the relationship between permeability and effective porosity through construction techniques.
STRATEGI PENDEKATAN INTERDISCIPLINARY MATA PELAJARANPRODUK KREATIF DAN KEWIRAUSAHAAN PADA SMK
Authors: Romadin Achmad , Yoto Yoto 
Published: August 2023

Interdisipliner merupakan suatu pendekatan yang menggabungkan dari satu disiplin ilmu maupun lebih. Penerapan mata pelajaran Produk Kreatif dan Kewirausahaan (PKK) tentunya tidak hanya satu pendekatan disiplin ilmu, melainkan harus beberapa pendekatan ilmu. Salah satunya adalah pendekatan interdisipliner. Penelitian ini menggunakan pendekatan kualitatif, dengan metode pengambilan data wawancara secara langsung, dokumen pendukung, serta observasi secara langsung. Hasil penelitian akan dibahas lebih lanjut dengan literatur yang relevan. Dari hasil penelitian didapatkan strategi pendekatan satu disiplin ilmu dapat diterapkan di SMK pada mata pelajaran Produk Kreatif dan Kewirausahaan dengan pembuatan jobsheet handle door dan potato spirals, sedangkan strategi pendekatan Interdisipliner dapat diterapkan pada jobsheet alat pengupas kulit telur puyuh otomatis. Pendekatan Interdisipliner pada SMK Teknik Pemesinan dapat diterapkan dengan cara mengkombinasikan disiplin ilmu (ilmu pada bidang teknik pemesinan, teknik pengelasan, teknik elektronika, dan kewirausahaan) untuk pembuataan jobsheet/produk.