bluuebunny/crossref_metadata_2025_split huggingface dataset:
Welding procedure development and effect of PWHT on the microstructure and properties of the matching filler metal and weld joint of the MARBN alloy
Authors: Roberts Steve , Wildgoose Josh Josh , Jepson Mark , Philpott Will , ZHANG Zhuyao , Allen David Allen David 
Published: October 2023

Abstract
Since the reports of promising creep properties of MARBN alloys (a short name for MARtensitic 9Cr steel strengthened by Boron and Nitrides), nearly two decades ago, significant effort has been input in examining the base alloys, development and validating of the matching filler metals. One of the main targeted applications of MARBN alloys is the castings for thermal power plant turbine components. These applications will involve repair welding of castings and joint welding between castings and other structures, such as joints between casted valves and steam pipe works, etc. For weld joints with satisfactory microstructure and properties, there are practical needs for developing appropriate welding procedures and post weld heat treatment (PWHT) parameters. Particularly, a relatively lower PWHT peak temperature, i.e. 735°C, is preferred for the fabrication of casting components. Within the UK collaborative projects, IMPLANT, a detailed investigation has been carried out to the matching composition filler metal for welding MARBN alloys to explore the influence of welding procedure and PWHT on the microstructure and properties of the weld metal and MARBN alloy weld joint. The filler metal was in form of shielded metal arc welding (SMAW) electrode. All-weld metal assemblies and weld joints made with IBN-1 base alloy plate were prepared. For the weld joint welding, different inter-pass temperatures were applied. After welding, post weld heat treatments at 735°C with different soaking durations were employed. Ambient temperature mechanical test was conducted. All-weld metal and cross-weld transverse tensile, Charpy impact toughness, hardness and bend properties were assessed. The microstructure of the all-weld metals and weld joint after different PWHT procedures were examined using optical microscopy and scanning electron microscopy (SEM). The differences in microstructure (grain structure and precipitations, etc) are evaluated in order to determine the possible reasons for the differences in mechanical properties, particularly in toughness at ambient temperature. This paper reports the results obtained so far. Initial conclusions are summarised. Aspects for further investigation are identified.
Transcriptomic Responses of Rabbits to Infections by precocious line and Wild-Type Eimeria media: Revealing Molecular Signatures and Pathway Differences in Liver and Duodenum during the Peak and Terminal Phases of Oocyst Production
Authors: Zou yijin , Wang Yiyan , Suo Xun , Zhang Yuanyuan 
Published: October 2023

Abstract

Eimeria media is a principal pathogen responsible for rabbit coccidiosis, targeting the rabbit's intestinal epithelial cells. This parasitism damages the intestinal mucosal barrier, initiating a systemic immune and inflammatory response that jeopardizes the sustainable growth of rabbit farming. To understand the implications of infection on the host's immune and metabolic responses, we employed RNA-Seq to analyze RNA from the liver and duodenum tissues of post-infected rabbits infected with both the precocious line and wild-type strains of Eimeria media. Comprehensive transcriptomic analysis revealed that the two strains exhibit divergent transcriptomic imprints on host tissues. While the precocious line predominantly modulates immune-centric pathways with significant differential gene enrichment, wild-type strains favor pathways that affect metabolism. In addition, our study pinpointed a set of genes that undergo significant modifications in response to these effects. These revelations grant a fresh avenue to probe deeper into the symbiotic intricacies of the Eimeria media and its rabbit hosts.
A dynamic miRNA-mRNA network serves as a crosstalk between abnormal cell cycle and immunosuppressive microenvironment in the colorectal adenoma-carcinoma sequence
Authors: Bai Jin , Dong Yang , Li Yandong , Gao Yong 
Published: October 2023

Abstract
Background
Colorectal tumorigenesis is well accepted with the colorectal adenoma-carcinoma sequence (ACS). MicroRNAs (miRNAs) have been considered as effective biomarkers for colorectal cancer (CRC) or adenoma detection. However, it is unclear how miRNAs initiate CRC.
Methods
In our study, we collected multiple public datasets with miRNA (GSE41655 and GSE115513) or mRNA (GSE41657 and GSE37364) consisting of normal tissue, benign adenoma, and malignant tumor samples. STEM analysis was performed to investigate dynamic deregulated miRNAs and mRNAs along the colorectal ACS. The miRNA-mRNA regulatory network was constructed on two miRNA-target prediction databases (tarBase and miRTarBase). WGCNA, KEGG pathway analysis, and GSEA were used to explore the potential molecular biological function. The lineage trajectory in the colorectal ACS was identified via monocle analysis based on a single-cell RNA sequencing data (GSE161277). ESTIMATE analysis and Immune cell infiltration analysis were used to examine the contribution of different cell types in the microenvironment of ACS. Drug sensitivity analysis of common targeting drugs was performed on OncoPredict R package and immune checkpoint blockade (ICB) response was predicted by TIDE analysis.
Results
A total of 4 dynamic down-regulated miRNAs and 278 dynamic up-regulated mRNAs were investigated. We then conducted a 4 down-regulated miRNA-25 up-regulated mRNA regulatory network, which well distinguished among normal, adenoma, CRC samples. Mechanistically, the signature of 25 target genes (Sig-25Targets) was positively associated with cell cycle-related pathways, while negatively correlated with immune-related pathways. Furthermore, the Sig-25Targets showed similar increasing score as the “cell cycle”, “G2/M checkpoint”, and “DNA repair” along the ACS via epithelial cell lineage transition. On the other hand, we found a negatively association between this signature and immune score, especial the B cell in the adenoma and CRC samples. Clinically, drug sensitivity analysis showed that Sig-25Targets was sensitive with cell cycle targeting drugs, but had a worse overall survival with datasets using ICB treatment.
Conclusions
Overall, our results revealed that the 4 down-regulated miRNA-25 up-regulated mRNA regulatory network may participate in the colorectal ACS through the abnormal activation of cell cycle signaling, but as an immunosuppressor. We also provide potential treatment guidance for CRC patients who significantly express these genes.
GRAAL - Modeling and Prototyping a System for a Gamified Responsible Augmented Assembly Line
Authors: Agati Salvador Sergi , Hounsell Marcelo da Silva , Paterno Aleksander Sade 
Published: October 2023

Abstract
Human errors are prevalent in manual assembly line statistics, but humans are still a necessary and numerous working force for assembly tasks. Since faster and shorter production cycles lead to higher mental efforts, an alternative to decrease the cognitive load and errors of manual assembly lines is using Augmented Reality (AR). AR increases system interaction and assists operators in the step-by-step of any tasks performed. Its use allows granular production data, enabling an increase in quality control and timely detection of assembly problems. However, AR alone is not enough to avoid demotivation and lack of engagement in the task, which is repetitive in nature. Gamification can become an auxiliary resource to increase operators' motivation and engagement. This work presents a system model to integrate AR and gamification for a manual assembly line called GRAAL. GRAAL was used to develop an actual systemfor Printed Circuit Board (PCB) assembly, which is able to guide operators using AR but also tracks down their efficiency and efficacy which is then used for gamifying their performance. We conclude that modeling a system that merges AR and Gamification is feasible but a non-trivial task. The system's features are dependent on conditioning factors such as Application Environment, Application Context, Application Audience, and AR hardware.
Effect of accelerated artificial aging on color stability of CAD-CAM materials
Authors: Magdy ahmed , Samhan Talaat , Shokry Tamer 
Published: October 2023

Abstract

Objective: The purpose of this study was to compare the effect of accelerated artificial aging using weathering process on color stability of computer-aided design and computer-aided manufacturing (CAD-CAM) materials.
Materials and Methods: Four CAD-CAM materials were tested; Nano hybrid CAD-CAM composite (Tetric CAD “TC”) , hybrid ceramic (Vita Enamic “VE”), Advanced Lithium disilicate (CEREC Tessera “CT”) and Lithium disilicate (IPS e.max CAD “EM”) . Each group material contains nine samples (n=9). Color measurements of the four materials were assessed before and after accelerated aging in weathering machine for 300 hours using a spectrophotometer based on CIE L*a*b* relative to the standard illumination D65. Color difference was obtained using the formula ∆E=[(∆L*)2+(∆a*) 2+(∆b*) 2]½. Statistical analysis was done using one - way ANOVA and Kruskal-Wallis tests (a=0.05).
Results: There was a statistically significant difference between ΔE of CAD-CAM materials. TC showed the highest mean ∆E (4.29) while there was no statistical significance difference between ∆E of VE, CT and EM (3.02, 3 and 2.94 respectively).
Conclusions: Artificial accelerated aging caused clinically unacceptable color changes in TC, while it caused perceptible but clinically acceptable color changes in VE, CT, and EM. Chemical composition could influence the change in color of the material.
Clinical Significance: When color stability with weathering process is considered; advanced lithium disilicate, lithium disilicate and hybrid ceramic with high color stability may be a better choice than nano hybrid CAD/CAM composite, especially when being used in the anterior esthetic zone.
Online Mental Health Help Seeking Behaviors Among College Students
Authors: Johnson Rachel L. , Nandan Monica , Culp Brian , Thomas Dominic 
Published: October 2023

Abstract
Summary: Even before the pandemic, utilization of online mental health resources continues to grow among young adults. There is limited research on online help seeking behaviors, let alone specific research on college students’ online mental health help seeking behaviors. This study aims to identify which terminology college students utilize on online search engines to seek assistance related to mental health. A cross-sectional survey design was used during the 2019-2020 academic year. The respondents consisted of 259 college students at one of the 50 largest public institutions of higher education in the Southeastern United States.
Findings: Overall, the sample data suggests that college students utilize general words such as mental health help, as well as specific symptoms and diagnoses, and words related to cost and insurance when searching online for mental health assistance.
Applications: This data suggests online search word utilization for mental health has gender, racial, and age differences, which could further inform the way online search engines operate to provide adequate services for specific populations seeking help.
The value of linear and non-linear quantitative EEG analysis in paediatric epilepsy surgery: a machine learning approach.
Authors: Mercier Mattia , Pepi Chiara , Carfi-Pavia Giusy , Benedictis Alessandro , Espagnet Maria Camilla Rossi , Pirani Greta , Vigevano Federico , Marras Carlo Efisio , Specchio Nicola , Palma Luca 
Published: October 2023

Abstract
Epilepsy surgery is effective for patients with medication-resistant seizures, however 20-40% of them are not seizure free after surgery. Aim of this study is to evaluate the role of linear and non-linear EEG features to predict post-surgical outcome.
We included 123 paediatric patients who underwent epilepsy surgery at Bambino Gesù Children Hospital (January 2009 - April 2020). All patients had long term video-EEG monitoring. We analysed 1 minute scalp interictal EEG (wakefulness and sleep) and extracted 13 linear and non-linear EEG features (Power Spectral Density (PSD), Hjorth, Approximate Entropy, Permutation Entropy, Lyapunov and Hurst value). We used a LR as feature selection process. To quantify the correlation between EEG features and surgical outcome we used an Artificial Neural Network (ANN) model with 18 architectures.
LR revealed a significant correlation between PSD of Alpha Band (sleep), Mobility index (sleep) and the Hurst value (sleep and awake) with outcome. The Fifty-Four ANN models gave a range of accuracy (46%-65%) in predicting outcome. Within the Fifty-Four ANN models, we found a higher accuracy (64.8%±7.6%) in seizure outcome prediction, using features selected by LR.
The combination of PSD of Alpha Band, Mobility and the Hurst value positively correlate with good surgical outcome.
Research on Fog Computing Data Transmission Methods Incorporating Blockchain Data Structures
Authors: ZUO Xuebin , YANG Fan , YANG Wenjie 
Published: October 2023

Abstract
With the continuous expansion of the scale of industrial IoT, fog computing communication network has been widely used, and the scale of its transmission data has also increased exponentially, but the existing fog computing communication network has problems such as poor data transmission security and cumbersome encryption and decryption. Aiming at these problems, this paper proposes a transmission method for fog computing communication networks that incorporates blockchain structure. First, the method constructs a dynamically updated word vector model by minimizing the loss function to map the plaintext data in the fog computing network to the corresponding word vector space; then the traditional blockchain data structure is improved and the corresponding word vector data is transformed into the corresponding block data, which facilitates a better transmission of the data in the network; finally, the nodes and the network architecture of the fog computing network are designed to further guarantee the security and integrity of data in network transmission. Finally, the nodes and network architecture of the fog computing network are designed to further ensure the security and integrity of data transmission in the network. The experimental results show that this method has great advantages over the existing methods in terms of data transmission efficiency, security and integrity.
Current national nature reserves are insufficient to safeguard the long-term survival of wildlife in China
Authors: Bai Yongfei , Sun Weicheng , Zhao Yujin , Chen Wenhe 
Published: October 2023

Abstract

Enhancing the connectivity of protected areas (PAs) is a global consensus for conserving biodiversity. Yet, it is unclear whether habitats are sufficiently connected within PAs to efficiently protect wildlife populations for long-term survival. Using the perspective of functional connectivity, we evaluated the capacity and limiting factors of the 474 national nature reserves (NNRs) in China in protecting the long-term survival of wildlife populations in their internal habitats. We show that, in general, China's NNRs can effectively protect about one-half of the wildlife populations within PAs for long-term survival. However, they can only protect 25% bird and 13% terrestrial mammal populations with high motility. Areas of low conservation effectiveness are highly overlapped with PAs of small size and high intensity of human activity. Artificial landscapes such as roads and settlements, which account less than 2% area of the PAs, disproportionately cause nearly 40% of the connectivity loss. The results suggest that maintaining high levels of functional connectivity within PAs is as important as maintaining high connectivity in the national or global PA networks. Our findings have important implications for improving the management of PAs in China and beyond.
The combination of transcriptomics and metabolomics uncovers mepiquat chloride improves the response of Litchi chinensis leaves to low-temperature stress in late spring
Authors: Li Tianzi , Feng Naijie , Zheng Dianfeng , Chen Mingming , Zhao Liming 
Published: October 2023

Abstract
Under low-temperature stress, the application of chemical regulation into litchi leaves remains largely uninvestigated especially during the late spring season. In this study, we came up with transcriptomics- and metabolomics-based strategies to comprehensively survey the response mechanisms of litchi to low temperature under the treatment of mepiquat chloride. After a big fraction of transcripts and metabolites were found differentially expressed, the pathway enrichment analysis showed that carbon metabolism accounted for a large number of DEGs (Differentially Expressed Genes). The effects of mepiquat chloride on carbon metabolism were found up regulated in the enrichment analysis for differential metabolites or transcripts. In addition, the combinational analysis of transcriptomics and metabolomics indicated mepiquat chloride coordinately regulates transcripts and metabolites by forming a tightly linked network. The integration of metabolomics and transcriptomics revealed that mepiquat chloride potentially promotes the expression of transcription factor and drives the upregulation of citrate synthase, and isocitrate dehydrogenase (NAD+) in the pathways of carbon metabolism. Meanwhile, upregulation of antioxidant related genes in the pathway of peroxisome. Considering that carbon metabolism is tightly related to photosynthesis, the physiological measurements of photosynthetic indexes suggested mepiquat chloride presented the potentials to improve the ability of photosynthesis for litchi under low-temperature stress. This comprehensive study combining transcriptomics and metabolomics provided a basis and strategy for understanding how higher plants respond stresses under chemical regulation.
Rhodamine-based fluorescent probe with quick response and high selectivity for imaging labile ferrous iron in living cells and zebrafish
Authors: Wang Shanshan , Chen Xin , Liu Zhigang , Yu Shihua , Fu Jing , Zeng Xiaodan 
Published: October 2023

Abstract
The transition between its various oxidation states of Iron plays a crucial part in various chemical transformation of cells. Misregulation of iron can give rise to the iron-catalyzed reactive oxygen species disorder which have been linked to a variety of diseases, so it is crucial to monitor the labile iron pool in vivo for clinical diagnosis. According to iron autoxidation and hydrogen abstraction reaction, we reported a novel “off-on” fluorescent probe to response to ferrous (Fe2+) both in solutions and biological systems. The probe responds to Fe2+ with good selectivity toward competing metal ions. What’s more, the probe presents significant fluorescent enhancement to Fe2+ in less than 1 min, making real-time sensing in biological system possible. The applications of the probe in bioimaging revealed the changes in labile iron pool by iron autoxidation or diverse stimuli.
Construction of a pH-responsive nanoreactor and its specific inhibition of oral squamous cell carcinoma growth via TME and xCT/GSH/GPX4 axis
Authors: Wu Daming , Zhao Xiao , Leng Diya , Wang Huiwen , Jin Hong , Wu Yuting , Qin Zhiguo , Wei Xin 
Published: October 2023

Abstract
Oral squamous cell carcinoma (OSCC) is the most common malignant tumor in oral and maxillofacial region, distinguished by its formidable invasiveness, high incidence of lymph node metastatic, and unfavorable prognosis. Given the current dearth of specific drugs, effectively curtailing its growth, invasion, and metastasis poses a significant challenge. The tumor microenvironment (TME) exhibits mildly acidic conditions and a high concentration of H2O2, which makes the use of this characteristic for cancer treatment a promising cancer treatment approach. In this study, we developed a pH-responsive nanoreactor, composed of ultrasmall Prussian blue nanoparticles within mesoporous calcium-silicate nanoparticles (USPBNs@MCSNs, UPM). This innovative nanoreactor converted endogenous H2O2 in TME into abundant ·OH while generating oxygen in non-tumor regions to reduce hypoxia-induced chemotherapy resistance. The findings showed UPM induced OSCC cells ferroptosis by downregulated the xCT/GPX4/GSH axis, effectively restraining the growth, migration, and invasion of OSCC cells, and did not cause systemic toxicity. Consequently, the pH-responsive UPM synthesized here possesses the ability to initiate specific biochemical reactions in TEM, and has potential clinical application value.
Sustainable Development in the Digital Age: Leveraging Social Networks for Viral Green Product Messages
Authors: Sobhanifard Yaser , Hatami Meisam 
Published: October 2023

Abstract
This research seeks to enhance sustainability through amazing messages of consumption of green products on the social network. Using the research literature, interviews with the theoretical saturation approach, the exploratory factor analysis of the relevant model were made, and the relevant factors were classified into three main categories. Finally, the factors discovered were ranked by Friedman.16 factors for virus-related messages related to green product consumption were identified. These factors were constructed with three main variables: seduction, innovation, and unknown, with exploratory factor analysis. Then these 16 factors were ranked: more advanced and newer technologies representing nature's extraordinary power, such as the enormous energy of winds or waves and a new tip or trick. They have presented the highest priority for the viralization of a message through surprise. For the first time, this research seeks to find surprising factors that if they are used in messages related to green products, they become viral quickly and mainly on social networks between people. This research aims to help sustainable development with a viral message solution by surprising consumers for the first time.
A national evaluation analysis and expert interview study of real-world data sources for research and healthcare decision-making
Authors: Mikl Veronika , Baltic Dejan , Czypionka Thomas , Degelsegger-Márquez Alexander , Forgó Nikolaus , Gouya-Lechner Ghazaleh , Herzog Arnold , Klimek Peter , Lumenta David Benjamin , Mraz Bernhard , Ostermann Herwig , Scharinger Robert , Stamm Tanja , Strassnig Michael , Zeitlinger Markus , Pleiner-Duxneuner Johannes 
Published: October 2023

Abstract

Real-world data (RWD) can provide intel (real-world evidence, RWE) for research and development, as well as policy and regulatory decision-making along the full spectrum of health care. Despite calls from global regulators for international collaborations to integrate RWE into regulatory decision-making and to bridge knowledge gaps, some challenges remain. In this work, we performed an evaluation of Austrian RWD sources using a multilateral query approach, crosschecked against previously published RWD criteria and conducted direct interviews with representative RWD source samples. This article provides an overview of 73 out of 104 RWD sources in a national legislative setting with favourable RWD incentives, which can be used to extrapolate to other EU data regions under the General Data Protection Regulation (GDPR) and upcoming legislation such as the European Health Data Space Act (EHDS). We were able to detect omnipresent challenges associated with data silos, variable standardisation efforts and governance issues. Our findings suggest a strong need for a national health data strategy and governance framework, which should inform researchers, as well as policy- and decision-makers to improve RWD-based research in the healthcare sector to ultimately support actual regulatory decision-making and provide strategic information for governmental health data policies.