bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Bibliometric Study on the Rising Trends of Metaverse Literature in Asia-Pacific Countries
Authors: Wider Walton , Jiang Leilei , Li Jingjing , Tanucan Jem Cloyd M. , Fauzi Muhammad Ashraf 
Published: July 2023

Abstract
The present research employs bibliometric analysis to investigate past and current trends in research and forecast potential areas of research in Metaverse Literatures within the Asia-Pacific region. The bibliometric method was utilized to gather a total of 571 academic publications from the Web of Science database in this study. This research employs co-citation and co-word analyses to identify the most impactful publications, explicate the knowledge framework, and predict emerging trends. The analysis of co-citation revealed the presence of four primary clusters, whereas the analysis of co-word identified three clusters. The significance of Metaverse Literatures research is on the rise in the Asia-Pacific region; however, further investigation is required to furnish a more comprehensive perspective of the research landscape. This study essentially illuminates the research on metaverse and offers a perspective on the prospective future advancement of the domain in the Asia-Pacific regions. This study is distinctive in that it represents the initial attempt to construct a knowledge structure of metaverse in the Asia-Pacific region by means of a science mapping technique.
Development and validation of a hepatocellular carcinoma classifier based on macrophage-related gene set for rapid evaluation of patient response types and prognosis
Authors: Liu Defu , Yang Jing , Dai Zhanfeng , Wang Zhengjun , Huang Xiaonan , Xie Caoyu 
Published: July 2023

Abstract
Tumor-associated macrophages (TAMs) participate in and shape the tumor microenvironment of hepatocellular carcinoma (HCC), which is closely related to the formation of tumor heterogeneity. The aim of this study is to distinguish different subtypes of patients according to the activity level of macrophage functional gene set in HCC. We collected 1203 tissue samples from TCGA, ICGC and GEO databases. Using macrophage-associated gene set (MRRGS) from GSEA database, the score of MRRGS was calculated based on gene set variation analysis (GSVA). The key MRRGS was screened by univariate COX regression analysis and LASSO regression. Finally, non-negative matrix factorization (NMF) was used to classify HCC subtypes. Six immune cell infiltration algorithms, immune checkpoint expression differences, tumor immunity and rejection (TIDE) analysis, mutation data analysis, stem cell index based on mRNA expression (mRNAsi) were used to evaluate and reveal the differences of immunity, mutation and tumor cell malignancy among different HCC subtypes. Weighted gene coexpression network (WGCNA) is used to analyze the functional mechanism involved in MRRGS. CAMP and drug sensitivity analysis are used to explore drugs for different HCC subtypes. Two machine learning algorithms assist in screening characteristic genes among subtypes to facilitate subtype discrimination. Our study divides patients into two subtype (C1 and C2) by defining 12 MRRGS, which are similar to hot and cold tumors mentioned in previous studies. The stability of the macrophage functional classifier was validated in two independent HCC cohorts and this classifier can well predict the ability of patients to respond to immunotherapy, TACE treatment and various drug. Based on the above results, we built a bioinformatics tool to help users quickly distinguish patient subtypes and prognosis. In addition, immune signals (such as PD1-PDL1 signals), mutations, metabolic abnormalities, viral infection and chemical erosion in the environment are important upstream foundations of HCC heterogeneity caused by macrophages. This provides insights into the clinical treatment and management of HCC.
Superradiant photonic crystal surface emitting laser
Authors: Vasil’ev Peter P. 
Published: July 2023

Abstract
A concept of a superradiant photonic crystal surface emitting laser (Super-PCSEL) is proposed. The proposal aims to tackle the problem of the catastrophical optical damage of facets of superradiant devices due to extreme power flux densities. The suggested design incorporates photonic crystal (PC) sections into femtosecond multiple contact superradiant structures. The potential configuration of the PC sections has been calculated by solving Maxwell equations using the finite differences time domain method. Proposed Super-PCSELs allow for increased reliability and the generation of much more powerful superradiant pulses as compared to presently available pulses.
Alkali-Modified Boehmite for Acid Removal in Waste Transformer Oil
Authors: Fei Kai , Dong ZhuoYi , Meng Xuan , Shi Li , Liu NaiWang 
Published: July 2023

Abstract
Transformer oil plays a critical role in ensuring the insulation and normal operation of power transformers. However, during operation, the transformer oil would undergo oxidation and degradation, leading to the formation of acids and polar compounds that increase its acidity and degrade its performance. Recycling and reclamation of aged transformer oil are necessary to prolong transformer lifespan and mitigate risks. Adsorption separation is a preferred method for regeneration, offering simplicity and high efficiency. This study focuses on impregnated boehmite as an adsorbent for acidity removal in waste transformer oil. The effects of impregnation amount and calcination temperature on acidity removal are investigated, along with a comparative analysis of other adsorbents. The findings contribute to the development of sustainable methods for regenerating transformer oil, ensuring efficient and environmentally friendly operations.
A novel allatostatin-A analog, III-2 may particularly regulates juvenile hormone III to influence Spodoptera frugiperda metamorphosis and development
Authors: Cao Wenjing , Zhang Fu , Li Haolin , Zhang Yimeng , Zhang Yongheng , Zhang Wenjie , Guo Xiaxia , Dong Linxi , Li Honghong , Zeng Dongqiang , Li Xuesheng , Yang Xinling 
Published: July 2023

Abstract
Allatostatin (AST) is a class of insect neuropeptides that affects insect growth and development by inhibiting the synthesis of juvenile hormones (JH) in different insects. Ⅲ-2 is a novel allatostatin-A（AST-A）analog derived from a class of nitroaromatic groups connected by different amino acids. In this study, we found that Ⅲ-2 showed high insecticidal activity against S. frugiperda larvae with a LC50 of 18.7 mg L-1. As demonstrated by ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS), III-2 particularly encouraged JH III and hindered 20E synthesis in S. frugiperda. The results of RNA-Seq and quantitative real-time polymerase chain reaction (qPCR) showed that Ⅲ-2 treatment promoted the expression of JH terminal synthetases SfCYP15C1 and SfJHAMT and inhibited the expression of SfJHE and SfJHEH in the metabolic pathway of JH. Significant differences were observed in the expression of the genes related to cuticle formation. We report for the first time that AST compounds specifically interfere with the synthesis and secretion of a certain JH in insects, thus affecting the ecdysis and growth of insects, and leading to death. This study may provide a new plant conservation concept for us to seek the targeted control of certain insects based on specific interference with different JH.
Altered Piwi-RNA Profiles of Peripheral Blood in Bone Metastasis of Non-Small Cell Lung Cancer
Authors: Fan Wen-bin , Li Min , Miao Haoran , Li Kai-bo , Ding Feng , Zhang Yi-qian , Jin Song , Cheng Wenxiang 
Published: July 2023

Abstract
Background
PIWI-interacting RNAs (piRNA) are a novel class of non-coding RNAs. They are involved in various pathophysiological activities. However, the expression profiles and functions of piRNAs in the bone metastasis of non-small cell lung cancer are still largely unknown.
Methods
Blood samples were collected from patients with non-small cell lung cancer (NSCLC), NSCLC with bone metastasis (BoM) and from healthy volunteers. To evaluate piRNA expression profiles in these samples, high-throughput piRNA microarray was performed. RStudio was used for PCA analysis. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to validate significantly dysregulated piRNAs. To predict the potential functions of dysregulated piRNAs, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. The mRNA targets of the piRNAs were predicted using TargetScan and miRanda software. The interaction networks between the piRNAs and their targets were constructed using Cytoscape software.
Results
A total of 11026 differentially expressed piRNAs were identified, including 134 up-regulated piRNAs and 45 down-regulated piRNAs in NSCLC with bone metastasis (LCBM) vs. non-small cell lung cancer (LC) group and 760 up-regulated piRNAs and 975 down-regulated piRNAs in LCBM vs. healthy volunteers (Ctrl) group with P ≤0.05, fold change ≥1.0. Twenty-four dysregulated piRNA genes with statistically significant differences among all three groups were selected to be validated by qPCR. The qRT-PCR validation confirmed the reliability of the microarray data. The potential targets were predicted by combining with the miRanda and TargetScan software analyses. Through GO and KEGG analysis, these dysregulated piRNAs were found to be potentially involved in NSCLC with BoM pathogenesis. In particular, these pi-RNA might be involved in the transcriptional misregulation and osteoclast differentiation in lung cancer and the bone metastasis.
Conclusions
In conclusion, we have identified novel piRNAs that play important functional roles in initiating and progressing of NSCLC with BoM. Bioinformatics analyses suggested that these dysregulated piRNAs may play an important functional role in the tumorigenesis of NSCLC, especially in the BoM. We identified that piR-hsa-16644 is a potential biomarkers and therapeutic target for BoM, and piR-hsa-11510 is strongly associated with EGFR tyrosine kinase inhibitor resistance.
Altered plasma metabolites and inflammatory networks in HIV-1 infected patients with different immunological responses after long-term antiretroviral therapy
Authors: Lu Lianfeng , Yang Yang , Yang zhangong , Wu Yuanni , Liu Xiaosheng , Li Xiaodi , Chen Ling , Han Yang , Song Xiaojing , kong Ziqing , Cao Wei , Li Taisheng 
Published: July 2023

Abstract
Background: Chronic metabolic changes relevant to human immunodeficiency virus type 1 (HIV-1) infection and in response to antiretroviral therapy (ART) remain undetermined. Moreover, links between metabolic dysfunction caused by HIV and immunological inflammation in long-term treated individuals have been poorly studied.
Methods: Untargeted metabolomics and inflammatory cytokine levels were assessed in 50 HIV-infected individuals including 25 immunological responders (IRs) and 25 non-responders (INRs) before and after ART. The IRs and INRs were matched by age, gender, baseline viral load and baseline CD4+T cell counts. Another 25 age-matched uninfected healthy individuals were also included as controls.
Results: Among the 770 plasma compounds detected in the current study, significant changes were identified in lipids, nucleotides, and biogenic amino acids between HIV-infected patients and healthy controls. Principal Component Analysis (PCA) and Random Forest (RF) model suggested that levels of selected metabolites could differentiate HIV infected patients clearly from healthy controls. However, only three metabolites including maltotetraose, N,N-dimethyl-5-aminovalerate and decadienedioic acid (C10:2-DC) were different between IRs and INRs following long-term ART. The pathway enrichment analysis results revealed that disturbances in pyrimidine metabolism、sphingolipid metabolism and purine metabolism after HIV infection and these changes did not recover to normal levels in healthy controls even with suppressive ART. Correlation analysis of the metabolism-immune network indicated that interleukin (IL)-10, D-dimer, vascular cell adhesion molecule-1(VCAM-1), intercellular cell adhesion molecule-1(ICAM-1) and TNF-RII were positively correlated with most of the significantly changed lipid and amino acid metabolites, but negatively correlated with metabolites in nucleotide metabolism.
Conclusions: Significant changes of many metabolites were observed in HIV-infected individuals before and after ART, regardless of their immunological recovery status. The disturbed metabolic profiles of lipids and nucleotides in HIV infection did not recover to the normal levels even after long-term ART. These changes are correlated with modified cytokines and biomarkers of chronic non-AIDS events, warranting try out of interventions other than ART.
Transthyretin amyloid cardiomyopathy in patients with unexplained increased left ventricular wall thickness.
Authors: Holcman Katarzyna , Kostkiewicz Magdalena , Szot Wojciech , Ćmiel Bogdan , Mróz Krystian , Stępień Agnieszka , Graczyk Katarzyna , Dziewięcka Ewa , Karabinowska-Małocha Aleksandra , Sachajko Zuzanna , Podolec Piotr , Rubiś Paweł 
Published: July 2023

Abstract

Purpose
Amyloid cardiomyopathy (CA) was previously considered a rare disease; however, rapid advancements in imaging modalities have led to an increased frequency of its diagnosis. The aim of this prospective study was to assess the prevalence and clinical phenotype of transthyretin amyloidosis (ATTR) cardiomyopathy in patients exhibiting unexplained increased left ventricular (LV) wall thickness.
Methods
From 2020 to 2022, we enrolled 100 consecutive adults with unexplained increased LV wall thickness in the study. The analysis included clinical data, electrocardiography, transthoracic echocardiography, single-photon emission computed tomography/computed tomography (SPECT/CT) with 3,3-disphono-1,2-propanodicarboxylic acid (DPD), genetic testing.
Results
Overall, 18% of patients were diagnosed with CA, comprising 5% with light-chain amyloidosis, and 12% with ATTR. To evaluate associations with the ATTR diagnosis, a LOGIT model and multivariate analysis were applied. Notably, age, polyneuropathy, gastropathy, carpal tunnel syndrome, lumbar spine stenosis, low voltage, ventricular arrhythmia, LV mass, LV ejection fraction, global longitudinal strain (GLS), E/A, E/E’, right ventricle (RV) thickness, right atrium area, RV VTI, TAPSE, apical sparing, ground glass appearance of myocardium, thickening of interatrial septum, thickening of valves, and the ''5-5-5'' sign were found to be significantly associated with ATTR (p < 0.05). The best predictive model for ATTR diagnoses exhibited an area under the curve (AUC) of 0.99, including LV mass, GLS and RV thickness.
Conclusion
This study, conducted at a cardiology referral center, revealed that a very considerable proportion of patients with unexplained increased LV wall thickness may suffer from underlying CA. Moreover, the presence of ATTR should be considered in patients with increased LV mass accompanied by reduced GLS and RV thickening.
Methane conversion to syngas by chemical looping on La0.8Sr0.2FexCo1-xO3 (x=0, 0.25, 0.50, 0.75) perovskites with CO2 co-feeding
Authors: S Gal , Cohen Oranit , Dahan Hen Ohayon , Landau Miron V. , Herskowitz Moti 
Published: July 2023

Abstract
Partial oxidation of methane (POM) by chemical looping with CO2 co-feeding on La0.8Sr0.2FeO3 (LSF) perovskite catalyst yielded a highly selective operation and enabled to extend the duration of reduction cycle. In this work, the conversion of methane to syngas was studied on La0.8Sr0.2Fe(x)Co(1−x)O3 (x = 0, 0.25, 0.5, 0.75) perovskites in chemical-looping mode, co-feeding CO2 and methane. The reaction was conducted at 850°C, 15 min reduction (10% methane in N2, 0–3% CO2), and 10 min oxidation (10% O2 in N2) cycles. The perovskites activity decreased with increasing Co content, in the absence of CO2, due to intensified coke deposition on the catalyst. Addition of CO2 during the reduction step (1%-3%) reduced coke accumulation. A run conducted on La0.8Sr0.2CoO3 (LSC) with continuous feeding of CO2 and periodical (on-off) methane feeding indicated that CO2 reacts with the accumulated coke in reverse-Boudouard reaction, increasing CO selectivity without affecting the methane conversion. XRD analysis of reduced Co-containing perovskites indicates a decreasing perovskite content. Metallic Co and La2O3 phases increased as the Co content in the fresh perovskite increased, increasing coke deposition. As the Co content increased, the process shifts from POM with oxygen replenishment (LSF) to cracking followed by reverse-Boudouard reaction (LSC).
Quantifying the Effects of Viral Load on Multistate COVID-19 Infection and Progression of Alpha and Omicron VOCs: A Bayesian Competing Markov Exponential Regression Model
Authors: Yeh Yen-Po , Yen Amy Ming-Fang , Lin Ting-Yu , Hsu Chen-Yang , Chen Sam Li-Sheng , Chen Hsiu-Hsi 
Published: July 2023

Abstract
We used a Bayesian competing four-state Markov model to explore how viral shedding in terms of cycle threshold (Ct) value makes relative contribution between persistent and non-persistent asymptomatic mode, and whether it affects the subsequent progression to show symptoms. The proposed model was applied to data from two large outbreaks on Alpha and Omicron variants of concern (VOCs) in Changhua, Taiwan. A multistate Markov exponential regression model was proposed for quantifying the odds ratio (OR) of viral shedding measured by cycle threshold (Ct). A Bayesian Markov Chain Monte Carlo (MCMC) method was used for estimating the parameters of the posterior distribution. The estimated results show that developing non-persistent asymptomatic mode relative to persistent asymptomatic mode was reduced by 14% (adjusted OR = 0.86, 95% CI: 0.81–0.92) per one increasing unit of Ct for Alpha VOC, whereas these figures were shrunk to 5% (aOR = 0.95, 95% CI: 0.93–0.98) for Omicron VOC. Similar significant gradient relationships were also observed between three viral load levels. Similar, but not statistically significant, dose-response effects of viral load on the progression to symptoms for non-persistent asymptomatic mode were observed. The application of statistical model helps elucidate the pathways of SARS-CoV-2 infectious process associated with viral shedding that demonstrate viral shedding plays a crucial role in determining the path of either non-persistent or persistent asymptomatic mode in a dose-response manner, which was more pronounced for the Alpha than the Omicron. Modelling such a multistate infectious process with two competing pathways would provide a new insight into the transmissibility and the duration of insidious infection before onset of symptom and the deployment of precision containment measures with a better use of the Ct value as virologic surveillance for projecting the individual epidemic course.
Optimal Duration and Timing of Basic-life-support-Only Intervention for Patients with Out-of-Hospital Cardiac Arrest: A Nationwide Observational Study in Japan
Authors: Takei Yutaka , Toyama Gen , Takahashi Tsukasa , Omatsu Kentaro 
Published: July 2023

Abstract
Aim: The study aimed to elucidate the relationship between the interval from cardiopulmonary resuscitation (CPR) initiation to return of spontaneous circulation (ROSC) and neurologically favourable 1-month survival in order to determine the appropriate duration of basic life support (BLS) without advanced interventions.
Methods: This retrospective, population-based cohort study included patients aged ≥ 18 years with 9,132 out-of-hospital cardiac arrest (OHCA) of presumed cardiac origin who were bystander-witnessed and had achieved ROSC between 2018 and 2020 in Japan. Patients were classified into two groups based on the resuscitation methods as the “BLS-only group” and the “BLS with administered adrenaline (BLS-AA) group”.
Results: Receiver operating characteristic (ROC) curve analysis indicated that administering BLS for 9 min yielded the best neurologically outcome for patients with a shockable initial rhythm [sensitivity, 0.42; specificity, 0.27; area under the ROC curve (AUC), 0.60] in the BLS-only group. Contrastingly, for patients with a non-shockable initial rhythm, performing BLS for 6 min yielded the best neurologically outcome (sensitivity, 0.65; specificity, 0.43; AUC, 0.63). Among patients who received adrenaline, administering BLS for 15 min yielded the best neurologically outcome for patients with shockable (sensitivity, 0.52; specificity, 0.30; AUC, 0.64) and non-shockable (sensitivity, 0.61; specificity, 0.31; AUC, 0.68) rhythms. Based on the ROC curve analysis results, we defined early ROSC achievement as within 9 min and 6 min for patients with shockable and non-shockable rhythms, respectively. Multivariate analysis indicated that BLS-only resuscitation had the most significant impact on early ROSC achievement in patients with shockable [odds ratio; 95% confidence interval): 9.98 (8.25–12.07) and non-shockable [28.97 (23.10–36.34)] rhythms. After propensity score matching, multivariate analysis revealed that neurologically favourable 1-month survival was associated with BLS-only resuscitation [5.00 (4.08–6.13)], night-time events [1.29 (1.03–1.62)], patient age [0.95 (0.94–0.96)], male sex [1.45 (1.16–1.81)], bystander CPR [1.55 (1.28–1.87)], initial shockable rhythms [3.21 (2.64–3.91)], transportation to level-3 hospitals [1.65 (1.37–1.98)], CPR-to-ROSC interval [0.96 (0.95–0.98)], and on-scene time [0.97 (0.95–0.99)].
Conclusion: Our findings suggest that paramedics should provide concentrated and high-quality chest compressions within the first few minutes of scene arrival prior to administering advanced interventions.