bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Apple Does Not Fall Far: Stable Predictive Relationships Between Parents' Ratings of Their Own and Their Children’s Self-Regulation Abilities
Authors: Kneidinger Johanna , Alanis José C. García , Steinmayr Ricarda , Schneider Silvia , Christiansen Hanna 
Published: July 2024

Abstract

Self-regulation is a critical skill that influences children's academic, social, and emotional development. This study investigates the stability and predictive relationships between parents' ratings of their own and their children's self-regulation abilities, focusing on executive function and delay aversion due to their strong association with cognitive and emotional control processes. Using data from 1700 families collected during the COVID-19 pandemic, we employed hierarchical structural equation models and cross-lagged panel models to analyze the temporal stability and directional influences of self-regulation assessments. Our analysis revealed a substantial latent correlation (r = 0.48, p < 0.001) between parents' and children's executive function problems, indicating a shared variance of approximately 23%. Significant cross-lagged effects were found, with parental executive function at T1 predicting child executive function at T2 (β = 0.16, p = 0.004). For delay aversion, we found a latent correlation of r = 0.50 (p < 0.001) and significant within-timepoint and temporal stability, but no cross-lagged effects. These findings suggest that higher levels of executive function problems reported by parents at T1 correspond to an increased perception of similar problems in their children at T2. This highlights the importance of parental self-perception in assessing children's abilities, aligning with Murphey's model that parental beliefs influence child outcomes. Our results underscore the significance of considering family dynamics in interventions aimed at promoting self-regulation in children. By understanding the interplay between parental and child self-regulation, researchers and practitioners can design more effective, individualized interventions to promote positive developmental outcomes.
Multi-omics analysis reveals an anoikis-related signature for non-small cell lung cancer
Authors: Ma Yuqi , Li Jia , Shen Tao 
Published: July 2024

Abstract

Background
Non-small cell lung cancer (NSCLC) is a prevalent form of lung cancer characterized by a significant death rate. Anoikis (ANO), refers to a distinct kind of programmed cell death that is strongly linked to the body's immune response to cancer. Nevertheless, the precise function of ANO in NSCLC is still not well understood.
Methods
ANO-related genes were analysed using multiple methods, including AUCell, UCell, single-sample gene set enrichment analysis (ssGSEA), Singscore, AddModuleScore, GSVA and weighted gene co-expression network analysis (WGCNA). We have developed an innovative machine learning framework that combines 10 different machine learning algorithms and 101 possible combinations of these algorithms. The goal of this framework is to build a reliable signature, known as the Anoikis-related signature (ARS), which is related to the phenomenon of anoikis. The performance of ARS was evaluated in both the training and validation sets. Column line graphs using ARS were developed as a quantitative technique to predict prognosis in clinical settings. Multi-omics studies, including genomic and bulk transcriptomic, were performed to gain more in-depth knowledge of prognostic features. We analysed the responsiveness of risk groups to immunotherapy and searched for tailored drugs to target specific risk categories.
Results
We discovered 103 genes associated with ANO at both single cell and bulk transcriptome levels. A computational framework using machine learning and 101 combinations was used to generate the consensus ARS. This framework showed exceptional performance in accurately predicting prognosis and clinical change, and the ARS can also be used to predict the initiation, progression and spread of NSCLC. Statistical studies have shown that it is an independent prognostic determinant of (OS) and disease-specific survival (DSS) in NSCLC. The integrated column line graphs of the ARS provide an accurate and quantitative tool for clinical practice. We also identified distinct metabolic processes, patterns of genetic mutations and the presence of immune cells in the tumour microenvironment that differed between the high-risk and low-risk groups. Significantly, there were significant changes in the immunophenotype score (IPS) between the risk groups, suggesting that the high-risk group is likely to have a more favourable response to immunotherapy. In addition, potential drugs targeting specific at-risk populations were identified.
Conclusion
The purpose of our work is to create a signature associated with immunogenic cell death. This signature has the potential to be a useful tool for predicting the prognosis of NSCLC, as well as for targeted prevention and personalised therapy. We are also providing new insights into the molecular pathways involved in the growth and progression of NSCLC through the use of mass transcriptomics and genomics research.
Insomnia and both socioeconomic status and individual behavior: a two-sample Mendelian randomization analysis
Authors: Wu Kuilin , Gao Yanting , Zhang Zongwang 
Published: July 2024

Abstract

Background
The association between socioeconomic status and individual behavior (SES/IB) with the development of insomnia is an area of increasing interest. Mendelian randomization (MR) analysis was utilized by us to investigate the causal relationship between SES/IB and the onset of insomnia and to support the creation of effective strategies for the detection and prevention of this disorder.
Method
A two-sample MR study was carried out to assess the causal impacts of SES/IB on insomnia. The main analysis uses inverse variance weighting(IVW), while other MR methods include MR egger and weighted median. Various tests were conducted, including a pleiotropy test, heterogeneity test, and leave-one-out test.
Result
The MR analysis results showed: Maternal smoking around birth(OR[95%CI] = 1.22[ 1.03–1.45], p = 0.021)、Time spent watching television(OR[95%CI] = 1.17[ 1.11–1.24], p = 1.21E-09) and Smoking status(OR[95%CI] = 1.10[ 1.04–1.17], p = 0.0018) were positively associated with the incidence of insomnia. In addition,Educational attainment(OR[95%CI] = 0.98[ 0.97–0.99], p = 5.68E-11)、Average total household income before tax(OR[95%CI] = 0.87[ 0.83–0.91], p = 4.90E-08)、Fresh fruit consumption(OR[95%CI] = 0.83[ 0.70-1.00], p = 0.047) and Age at first birth(OR[95%CI] = 0.97[ 0.96–0.99], p = 3.00E-05) were negatively correlated with the risk of insomnia.
Conclusion
The phenotypes associated with SES/IB exert a broad and diverse influence on the prevalence of insomnia. These insights could potentially inform the development of practical approaches for the screening and proactive prevention of insomnia, offering avenues for targeted interventions to mitigate the impact of this pervasive sleep disorder.
Establishment and characterization of a rat model of scalp-cranial composite defect for multilayered tissue engineering
Authors: Zhu Yi , Mei Ou , Zhang Hui , You Wulin , Zhong Jiamin , Collins Caralyn P. , Shen Guowei , Luo Changqi , Wu Xingye , Li Jingjing , Shu Yi , Wen Ya , Luu Hue H. , Shi Lewis L. , Fan Jiaming , He Tong-Chuan , Ameer Guillermo A. , Sun Cheng , Wen Liangyuan , Reid Russell R. 
Published: July 2024

Abstract

Composite cranial defects have individual functional and aesthetic ramifications, as well as societal burden, while posing significant challenges for reconstructive surgeons. Single-stage composite reconstruction of these deformities entail complex surgeries that bear many short- and long-term risks and complications. Current research on composite scalp-cranial defects is sparse and one-dimensional, often focusing solely on bone or skin. Thus, there is an unmet need for a simple, clinically relevant composite defect model in rodents, where there is a challenge in averting healing of the skin component via secondary intention. By utilizing a customizable (3D-printed) wound obturator, the scalp wound can be rendered non-healing for a long period (more than 6 weeks), with the cranial defect patent. The wound obturator shows minimal biotoxicity and will not cause severe endocranium-granulation adhesion. This composite defect model effectively slowed the scalp healing process and preserved the cranial defect, embodying the characteristics of a “chronic composite defect”. In parallel, an autologous reconstruction model was established as the positive control. This positive control exhibited reproducible healing of the skin within 3 weeks with variable degrees of osseointegration, consistent with clinical practice. Both models provide a stable platform for subsequent research not only for composite tissue engineering and scaffold design but also for mechanistic studies of composite tissue healing.
Characteristics of Aluminum Oxide Nanoparticles and Their Germicidal Activity on Leather Fabrics
Authors: Ganesan Nirmala 
Published: July 2024

Abstract

Background: Au NPs, or metal aluminium oxide nanoparticles, were created on leather textiles on-site. Several instrumental methods were employed, such as FTIR, HR-TEM, XRD, and UV-Vis spectrophotometry. Using disc diffusion against bacterial strains of Staphylococcus aureus, Pseudomonas aeruginosa, and Klebsiella pneumonia, the antibacterial activity of aluminium oxide nanoparticles was investigated.
Objective: This work should create new opportunities for innovation in the leather industries since it provides a first step toward the bio-functionalization and colouring of different leather fabrics using green technologies.
Methods: X-ray diffraction (XRD), Fourier transform infrared spectroscopy, and characterization: Scanning electron microscope (SEM)Aluminium oxide nanoparticles' biological activity and the antibacterial properties of leather materials using al2O3 nanoparticles
Results: Because of its potent antibacterial properties, aluminium oxide nanoparticle production is a rapidly developing technique in nanotechnology. X-ray diffraction analysis, Fourier transform infrared spectroscopy, and a UV-visible spectrophotometer were used to characterize the produced aluminium oxide nanoparticle. The FTIR and XRD measurements demonstrated good peak results because aluminium oxide has good structural characteristics. Using disc diffusion against bacterial strains of Staphylococcus aureus, Pseudomonas aeruginosa, and Klebsiella pneumonia, the antibacterial activity of aluminium oxide nanoparticles was investigated. Aeruginosa exhibited a higher activity of 13mm in comparison to the other strains, although all three species demonstrated good activity for the Al2O3 included leather. SEM was used to further analyse the leather textiles that contained Al2O3. The amount of Al2O3 NPs that have been deposited on leather material has produced great results for leather fabrics that have been dipped.
Conclusion: Sol-gel synthesis of alumina nanoparticles has been achieved with success. Al2O3 nanoparticles' antibacterial activity against three strains was demonstrated to be effective. The multifunctional qualities of leather were enhanced by applying her synthesized Al2O3 NPs to leather textiles. An immersion method was used to deposit Al2O3 on leather textiles. Adsorbed on the leather fabric's surface, the nanoparticles were uniformly bonded to the coated leather fabric's surface.
A case report of pancreaticoduodenectomy with en bloc celiac axis resection
Authors: Zhang Mengna , Zhang Bin , Zhao Ying ’an , Wu Anle , Ren Xuanlei , Zheng Jianbo , Zhu Jiyun , Yu Jun , Zheng Siming 
Published: July 2024

Abstract

Objective: To summarize the clinical experience of a case report of pancreaticoduodenectomy (PD) with en bloc celiac axis (CA) resection for locally advanced pancreatic cancer.
Methods: Clinical data of one patient with locally advanced pancreatic cancer who underwent pancreaticoduodenectomy with en bloc celiac axis resection after neoadjuvant chemotherapy and embolization of the proper hepatic artery in the Department of Hepatopancreatobiliary Surgery of the First Affiliated Hospital of Ningbo University in May 2023 were retrospectively analyzed.
Results: This case was operated smoothly with an operative time of 535 min, and intraoperative bleeding of about 800 ml. Only short-term elevation of hepatic aminotransferase appeared in the postoperative period, which was improved by hepatoprotective and symptomatic treatments, and was discharged from the hospital at 20 days postoperatively, and no tumour recurrence has occurred in the follow-up so far.
Conclusion: In patients with locally advanced pancreatic cancer with simultaneous invasion of the celiac trunk, common hepatic artery and hepatic innominate artery, total pancreaticoduodenectomy with en bloc celiac axis resection is safe and feasible in cases where neoadjuvant chemotherapy is effective and after establishing hepatic collateral circulation by preoperative embolization of the hepatic innominate artery. Meanwhile, more cases in more centers are needed to validate this conclusion.
An electrochemical biosensor for sensitive detection of live Salmonella in food via MXene amplified methylene blue signals and electrostatic immobilization of bacteriophages
Authors: Zhou Jingjing , Deng Tingliu , Zeng Qin , Wang Heye , Deng Chunyan 
Published: July 2024

Abstract

The rapid reproduction of live foodborne pathogenic bacteria poses a significant threat to human health. In the aspect of food safety monitoring, it is crucial to develop sensitive, rapid, and specific methods for detecting foodborne pathogenic bacteria. In this study, we present a novel bacteriophage-targeted electrochemical biosensor designed for accurate and quantitative detection of live Salmonella in food samples. The biosensor is simply constructed by electrostatic immobilizing bacteriophages on the MXene-nanostructred electrodes. MXene, renowned for its high surface area, biocompatibility, and conductivity, serves as an ideal platform for bacteriophage immobilization. This allows for a high-density immobilization of bacteriophage particles, achieving approximately 71 pcs µm− 2. Remarkably, the bacteriophages immoblized MXene nanostructured electrode still maintain their viability and functionality, ensuring their effectiveness in pathogen detection. Therefore, this proposed biosensor exhibited the enhanced sensitivity with a low limit of detection (LOD) of 5 CFU mL− 1. Notably, the biosensor exhibits excellent specificity in the presence of other bacteria that commonly contaminate food, and can distinguish live Salmonella from a mixed population. Furthermore, it is applicable in detecting live Salmonella in food samples, which highlights its potential in food safety monitoring. This biosensor offers simplicity, convenience, and suitability for resource-limited environments, making it a promising tool for on-site monitoring of foodborne pathogenic bacteria.
Application of MELTS program to Fractional Crystallization of Low Alumina Alkaline Magma in Jeju Volcanic Island
Authors: Le Hoang Yen , Chang Cheolwoo , Yun Sung-Hyo 
Published: July 2024

Abstract

Jeju Volcanic Island is the largest island in South Korea which is known as the continental shelf intraplate volcanic island. MELTS, one of the powerful programs utilizing for modeling magmatic evolution processes, is applied to simulate fractional crystallization process of low-alumina alkaline volcanic rock suite in Jeju Island. At many isobaric pressure conditions from 2.0 GPa to 0.1 GPa as well as different oxygen fugacities (fO2) from FMQ-3 to FMQ + 3 and H2O content, MELTS modeling were conducted as various calculations. The results demonstrate that the most suitable fractionation model for Jeju low-alumina alkaline magma would occur from 0.2 GPa to 0.1 GPa with oxygen fugacity FMQ buffer. These contain 0.5 wt.% H2O in the system leading to more consistent with evolution trending of as well as mineral composition in natural rock suite on Jeju Island. Although MELTS still possesses several limitations in the stability of calibration such as spinel overestimation as well as a lack of experiments for hydrous minerals which have been renovated, MELTS exhibits its affection on temperature and pressure prediction as well as assess other factor of fractional crystallization process on Jeju Island. Consequently, to evaluate a magmatic process in a particular region, it would be better to combine MELTS with other analyses rather than operating independently.
Multi-element exposure and health risks of grains from Ambagarh Chowki, Chhattisgarh, India
Authors: Wakhle Bhagyashri , Sharma Saroj , Patel Khageshwar Singh , Pandey Piyush Kant , Blažević Antonela , Fiket Željka , Yurdakul Sema , Varol Simge , Martín-Ramos Pablo , Al-Yousef Hanan Mohamed , Mothana Ramzi Ahmed 
Published: July 2024

Abstract

Grains of rice, wheat, and maize are staple foods widely consumed for their mineral and nutritional values. However, these cereals can accumulate toxic elements from contaminated soils, posing health risks. This study investigates the bioaccumulation patterns of 52 minerals (including nutrients, heavy metals, and rare earth elements) accumulated over range 10249 to 58414 mg kg− 1 (dw) in various parts (grain, husk, straw, root) of these cereals grown in the heavily polluted region of Ambagarh Chowki, India. The results reveal rice exhibits a higher accumulation of toxic elements compared to wheat and maize grains, with the high-yield Sarna cultivar being the most susceptible. Across the rice plant, accumulation increased in the order: grain < husk < straw < root. Elements like P, K, Cu, and Zn showed the highest enrichment. Worryingly, most toxic elements like As, Pb, and Cd exceeded permissible limits across grains, straws, and husks. Health risk assessment indicates wheat and maize pose greater non-cancer and cancer risks than rice. Despite being grown in a highly contaminated region, the study identifies some rice cultivars like Naya 1010 and Sonam as relatively safer options due to the lower accumulation of toxic elements in the grains. This comprehensive analysis provides valuable insights into cereal safety and highlights the need for monitoring polluted areas to mitigate health hazards through judicious selection of crop varieties.
Research on complex road condition target detection algorithm based on improved YOLOv8
Authors: Chen Xinying , Liu Ying , Li Shuyuan , Yi Weiguo 
Published: July 2024

Abstract

Currently, there are several issues with complicated road conditions, including significant variations in the size of the vehicle target, dense occlusion, high overlap rate, and inadequate lighting. The results of target detection are imprecise, prone to error, and misinterpreted. To address these issues, this paper proposes a technique for target detection using multi-scale fusion with an improved version of YOLOv8. Firstly, a new feature fusion network based on the weighted bidirectional feature network and the adaptive spatial feature fusion is proposed to strengthen the feature extraction and improve the visual representation ability. Secondly, to further improve the ability to detect small targets, a multi-scale target detection layer is incorporated. Meanwhile, an enhanced CIOU loss function is presented to accelerate the convergence of the model. Finally, this article combines ordinary convolution with depth separable convolution to improve the spatial feature information extraction capability and strengthen the model's generalization ability. Experiments were conducted on the KITTI dataset, and the results showed that the mAP of the improved network improved to 93.0%, which exceeded that of the traditional target detection network in terms of accuracy, parameters, and other key metrics. It is more suitable for instances involving autonomous driving when it comes to target detection.
Evaluating cluster counting of Cs complexes in the study of Nitrogen implanted Zirconium
Authors: Murugan A K Bala , Kumar P A Manoj , Kumar E Senthil , Seshan R Rama 
Published: July 2024

Abstract

Secondary Ion Mass Spectrometry (SIMS) is a surface analytical technique with very high sensitivity for detecting elements in a specimen. However, its data are highly non-quantifiable because of the artefact known as matrix effect, which is the variation in secondary ion intensity with respect to the matrix from which it is ejected. Cs complex (CsmX with m normally equal to 1 or 2) SIMS is a handy method to alleviate the problem of matrix effect in SIMS to a meaningful level. Cs ion beam is used for sputtering, Cs in CsmX is resputtered Cs and X is one and only one atom or cluster from the specimen to represent an element in the specimen. Cluster counting of Cs complexes is the method of counting all the atoms in all the Cs complexes formed from the specimen to compute the composition. The cluster counting method has earlier been reported to provide a significantly better composition estimate than that provided by using single Cs complex per element, for a D9 steel, whose composition is dominated by metals. In this study, the method is tested on a zirconium specimen implanted with nitrogen. The specimen also contains high concentration of oxygen, which varies with depth. Hence, this is a system prone to exhibit strong matrix effects. Quantified elemental depth profiles of the specimen were obtained using XPS to compare the SIMS results with. The study confirms that cluster counting produces a significantly better composition estimate than the single Cs complex approach. To attain an exact match with the XPS results, relative sensitivity factors were introduced for the Cs complexes counted in the analysis. The values of the relative sensitivity factors so obtained are presented. The cluster counting method provides, as an offshoot, a method to estimate the sputter rate at every depth of the depth profile. This sputter rate that varies dynamically with depth is used to convert the sputtering time to sputtered depth.
Exploration of the TNF-α signaling pathway in cerebral ischemia-reperfusion injury and its modulation by Gui Zhi Fu Ling Wan: Insights from network pharmacology
Authors: Xia Lixiu , Yin Xia 
Published: July 2024

Abstract

Objective The current study endeavors to elucidate the precise role and underlying molecular mechanism of GZFL in cerebral ischemia-reperfusion injury (CIRI).
Methods Public databases for network pharmacology were used to identify the compound ingredients of GZFL, their associated targets, and the protein targets related to CIRI. Utilizing the Autodock software, a molecular docking analysis was conducted to model and simulate the intricate interactions occurring between the pivotal compounds of GZFL and the central protein implicated in CIRI. Subsequently in vivo and in vitro experiments were conducted to investigate the impact of GZFL on CIRI.
Results Network pharmacology analysis revealed that there were 115 common targets shared between GZFL and CIRI. Molecular docking experiments demonstrated a significant binding activity between TNF and two compounds of GZFL, namely Quercetin and beta-sitosterol. In vitro studies exhibited that GZFL effectively inhibited neuronal cell apoptosis induced by OGD/R, improved cell viability, and reduced the levels of inflammatory factors IL-1β, IL-6, and MCP-1 following OGD/R treatment. Additionally, GZFL treatment significantly decreased the expression of MDA induced by OGD/R, while upregulating the expression of SOD and GSH-Px. Mechanistic investigations illustrated that GZFL treatment was able to suppress the expression of TNF-α induced by OGD/R. In vivo studies demonstrated that GZFL treatment ameliorated neurological function scores and pathological alterations in rat brain tissue.
Conclusion This research suggests that GZFL may hold promise as a therapeutic drug for CIRI subsequent to an ischemic stroke. Its protective effects are likely primarily mediated through the TNF-α pathway.