bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic effect of residual plasma Epstein–Barr viral DNA after induction chemotherapy for locoregionally advanced nasopharyngeal carcinoma
Authors: Zheng Hua , Zhou Ping , Wang Jun , Yu Yi‐Feng , Zhou Rui , Lin Qin , Wu San‐Gang 
Published: May 2023

AbstractBackgroundTo assess the prognostic effect of plasma Epstein–Barr virus (EBV) DNA load after induction chemotherapy (postIC‐EBV DNA) on survival outcomes in locoregionally advanced nasopharyngeal carcinoma (LA‐NPC).MethodsPatients who were diagnosed with LA‐NPC between August 2017 and October 2021 were included. The chi‐squared test, receiver operating characteristic, Kaplan–Meier survival analysis, and Cox proportional hazard model were used for statistical analysis.ResultsWe included 172 patients with EBV DNA‐positive LA‐NPC in this study. There were 35.5% (n = 61) of patients had plasma residual EBV DNA after induction chemotherapy (IC). Patients with higher EBV DNA before IC (p < 0.001) and advanced nodal stage (p = 0.031) were significantly related to a higher rate of residual postIC‐EBV DNA. Patients with detectable postIC‐EBV DNA had inferior 3‐year locoregional relapse‐free survival (LRFS) (86.7% vs. 96.9%, p = 0.020), distant metastasis‐free survival (DMFS) (76.8% vs. 94.2%, p < 0.001), disease‐free survival (DFS) (68.2% vs. 91.1%, p < 0.001), and overall survival (OS) (87.8% vs. 97.9%, p = 0.044) compared to those with undetectable postIC‐EBV DNA. The multivariate prognostic analyses showed that detectable postIC‐EBV DNA was the independent prognostic factor related to LRFS (p = 0.032), DMFS (p = 0.010), and DFS (p = 0.004) than those with undetectable postIC‐EBV DNA. Pretreatment EBV DNA load had no prognostic effect in the multivariate analyses.ConclusionsThe monitoring of plasma postIC‐EBV DNA has improved prognostication in LA‐NPC. Our findings suggest that postIC‐EBV DNA may be a robust indicator to identify the optimal candidate for intensive treatment.
Five Sesquiterpenes from Paraconiothyrium sp. and Their Anti‐inflammatory Activity
Authors: Zeng Qingting , Cui Hao , Yao Houzong , Yuan Tao 
Published: May 2023

AbstractFive eremophilane sesquiterpenes including three new ones, named paraconions A–C (1–3), were isolated from an endophytic fungus, Paraconiothyrium sp. from Artemisia selengensis. The structures of these new compounds were established based on spectroscopic methods, including nuclear magnetic resonance (NMR), ultraviolet (UV), and infrared (IR) spectroscopy, as well as high resolution electrospray ionization mass spectrometry (HR‐ESI‐MS). An anti‐inflammatory assay indicated that paraconion B (2) inhibited lipopolysaccharide‐induced nitric oxide (NO) production in RAW 264.7 cells, with an IC50 value of 51.7 μM. The compounds discovered in this study will enrich the structural types of secondary metabolites of the endophytic fungus Paraconiothyrium sp.
A Cooperative Rh/Co‐Catalyzed Hydroaminomethylation Reaction for the Synthesis of Terpene Amines
Authors: Pérez Alonso Alejandro , Pham Minh Doan , Pla Daniel , Gómez Montserrat 
Published: May 2023

AbstractAn original bimetallic catalytic system based on Rh(I) and Co(0) in glycerol is described for the synthesis of biomass‐derived amines through the tandem hydroaminomethylation reaction of terpenes, such as (R)‐limonene, β‐pinene and camphene. Under optimized conditions, this multicatalytic system is highly chemoselective (avoiding hydrogenations of substrates and aldehyde‐based intermediates, and aldol condensations), exhibiting good‐to‐excellent regioselectivity towards linear amines. From a mechanistic viewpoint, cobalt mainly boosts the reductive amination, while rhodium shows a foremost role in the hydroformylation step. Regarding the nature of the organometallic species, catalytically inactive metal nanoparticles have been identified at the end of the reaction, proving the homogeneous nature of the bimetallic catalytic system.
Absorbance spectral slopes for monitoring tropical peat water dissolved organic matter fractions during microbubble pre‐ozonation
Authors: Notodarmojo Suprihanto , Qadafi Muammar , Zevi Yuniati 
Published: May 2023

AbstractThe dissolved organic matter (DOM) protonated fractions of various hydrophobicities were correlated with the tropical peat waters' UV–Vis spectral slopes. This study was conducted to determine how microbubble pre‐ozonation affects UV–Vis spectral slopes in tropical peat water treatment processes This study was conducted to determine how microbubble pre‐ozonation affects UV–Vis spectral slopes in tropical peat water treatment processes. Microbubble pre‐ozonation was carried out at pH 7 followed by alum coagulation and activated carbon (AC) adsorption. The results showed that the log‐transformed UV–Vis absorption of processed peat water had four spectral slopes in the range of 220 to 420 nm. The degradation of the transphilic (TPH) DOM fraction had a strong negative correlation with the S220‐240 and S241‐272 values (R2 > 0.85). Similarly, the hydrophilic‐charged (HPIC) and hydrophilic‐neutral (HPIN) fractions had a strong negative correlation with the S220‐240 and S241‐272 values (R2 > 0.84 and R2 > 0.70). Meanwhile, the S273‐350 S>350 values had a low and negligible correlation with all analyzed DOM fractions (R2 < 0.30). The lower wavelength spectral slopes ratio (S220‐240/S241‐272) was moderately correlated with the DOM fraction, while the correlation with higher wavelength values was negligible. Based on these findings, the UV–Vis spectral slopes ratio at lower wavelengths appears to be useful information for developing a surrogate parameter of DOM fractions in peat water treatment processes.
Effect of additives on the compressive strength and denitrification performance of fly ash catalysts
Authors: Liu Yongjuan , Zhang Lei , Jia Yang , Shu Hao , Lei Zhang , Shuangyan Song , Zou Zhuorui 
Published: May 2023

AbstractFly ash is a massive industrial waste. Owing to the abundance of oxides, such as SiO2 and Al2O3, fly ash is considered a high value material. In this study, we assessed its application in the industrial deoxidation of nitrogen oxides, a major environmental pollutant, using the selective catalytic reduction technology. Fly ash was used as the main raw material and bentonite was used as an auxiliary material in the catalyst. Silica sol, starch, and glycerol were added to improve the compressive strength and denitrification performance of the catalyst. The use of silica sol as a binder improved the compressive strength of the catalyst due to the production of Si–O–Si. In addition, the availability of acidic functional groups could improve the denitrification performance of the catalyst. The optimal dosages of the additives were as follows: 6% silica sol, 6% starch, and 5% glycerol. Under these conditions, the catalyst formation was the easiest, the cracks were the least, the compressive strength of the catalyst reached 1434 kPa, and the denitrification performance improved. The findings presented here are relevant for the development of an economical and practicable solution for tackling environmental pollution caused by nitrogen oxides.
Corporate environmental information disclosure and green innovation: The moderating effect of CEO visibility
Authors: Liu Jing‐Yue , Zhang Yue‐Jun , Cho Charles H. 
Published: May 2023

AbstractThis study investigates the effect of corporate environmental information disclosure (EID) on green innovation in China's heavily polluting industries during 2009–2020 and the moderating effect of Chief Executive Officer (CEO) visibility. The results show that: (1) corporate EID increases green innovation, and CEO visibility strengthens the positive impact of corporate EID on green innovation. (2) The green innovation fostered by EID comes from the leverage effect, not from the crowding‐out effect at the expense of other existing innovations; EID stimulates green innovation by alleviating financing constraints and increasing R&D expenditures. (3) Corporate EID has a greater impact on substantive green innovation than on strategic green innovation, and hard EID makes a more significant contribution to green innovation than soft EID does. (4) State‐owned, large, and established enterprises benefit more from the promotion effect of EID on green innovation as well as the positive moderating effect of CEO visibility.
Explainable automated evaluation of the clock drawing task for memory impairment screening
Authors: Handzlik Dakota , Richmond Lauren L. , Skiena Steven , Carr Melissa A. , Clouston Sean A. P. , Luft Benjamin J. 
Published: May 2023

AbstractIntroductionThe clock drawing task (CDT) is frequently used to aid in detecting cognitive impairment, but current scoring techniques are time‐consuming and miss relevant features, justifying the creation of an automated quantitative scoring approach.MethodsWe used computer vision methods to analyze the stored scanned images (N = 7,109), and an intelligent system was created to examine these files in a study of aging World Trade Center responders. Outcomes were CDT, Montreal Cognitive Assessment (MoCA) score, and incidence of mild cognitive impairment (MCI).ResultsThe system accurately distinguished between previously scored CDTs in three CDT scoring categories: contour (accuracy = 92.2%), digits (accuracy = 89.1%), and clock hands (accuracy = 69.1%). The system reliably predicted MoCA score with CDT scores removed. Predictive analyses of the incidence of MCI at follow‐up outperformed human‐assigned CDT scores.DiscussionWe created an automated scoring method using scanned and stored CDTs that provided additional information that might not be considered in human scoring.
Trait‐mediated responses of caterpillar communities to spongy moth outbreaks and subsequent tebufenozide treatments
Authors: Leroy Benjamin M. L. , Rabl Dominik , Püls Marcel , Hochrein Sophia , Bae Soyeon , Müller Jörg , Hebert Paul D. N. , Kuzmina Maria L. , Zakharov Evgeny V. , Lemme Hannes , Hahn W. Andreas , Hilmers Torben , Jacobs Martin , Kienlein Sebastian , Pretzsch Hans , Heidrich Lea , Seibold Sebastian , Roth Nicolas , Vogel Sebastian , Kriegel Peter , Weisser Wolfgang W. 
Published: May 2023

AbstractOutbreaks of the spongy mothLymantria disparcan have devastating impacts on forest resources and ecosystems. Lepidoptera‐specific insecticides, such asBacillus thuringiensisvar.kurstaki(BTK) and tebufenozide, are often deployed to prevent heavy defoliation of the forest canopy. While it has been suggested that using BTK poses less risk to non‐target Lepidoptera than leaving an outbreak untreated, in situ testing of this assumption has been impeded by methodological challenges. The trade‐offs between insecticide use and outbreaks have yet to be addressed for tebufenozide, which is believed to have stronger side effects than BTK. We investigated the short‐term trade‐offs between tebufenozide treatments and no‐action strategies for the non‐target herbivore community in forest canopies. Over 3 years, Lepidoptera and Symphyta larvae were sampled by canopy fogging in 48 oak stands in southeast Germany during and after a spongy moth outbreak. Half of the sites were treated with tebufenozide and changes in canopy cover were monitored. We contrasted the impacts of tebufenozide and defoliator outbreaks on the abundance, diversity, and functional structure of chewing herbivore communities. Tebufenozide treatments strongly reduced Lepidoptera up to 6 weeks after spraying. Populations gradually converged back to control levels after 2 years. Shelter‐building species dominated caterpillar assemblages in treated plots in the post‐spray weeks, while flight‐dimorphic species were slow to recover and remained underrepresented in treated stands 2 years post‐treatment. Spongy moth outbreaks had minor effects on leaf chewer communities. Summer Lepidoptera decreased only when severe defoliation occurred, whereas Symphyta declined 1 year after defoliation. Polyphagous species with only partial host plant overlap with the spongy moth were absent from heavily defoliated sites, suggesting greater sensitivity of generalists to defoliation‐induced plant responses. These results demonstrate that both tebufenozide treatments and spongy moth outbreaks alter canopy herbivore communities. Tebufenozide had a stronger and longer lasting impact, but it was restricted to Lepidoptera, whereas the outbreak affected both Lepidoptera and Symphyta. These results are tied to the fact that only half of the outbreak sites experienced severe defoliation. This highlights the limited accuracy of current defoliation forecast methods, which are used as the basis for the decision to spray insecticides.
Coral restoration for coastal resilience: Integrating ecology, hydrodynamics, and engineering at multiple scales
Authors: Viehman T. Shay , Reguero Borja G. , Lenihan Hunter S. , Rosman Johanna H. , Storlazzi Curt D. , Goergen Elizabeth A. , Canals Silander Miguel F. , Groves Sarah H. , Holstein Daniel M. , Bruckner Andrew W. , Carrick Jane V. , Haus Brian K. , Royster Julia B. , Duvall Melissa S. , Torres Walter I. , Hench James L. 
Published: May 2023

AbstractThe loss of functional and accreting coral reefs reduces coastal protection and resilience for tropical coastlines. Coral restoration has potential for recovering healthy reefs that can mitigate risks from coastal hazards and increase sustainability. However, scaling up restoration to the large extent needed for coastal protection requires integrated application of principles from coastal engineering, hydrodynamics, and ecology across multiple spatial scales, as well as filling missing knowledge gaps across disciplines. This synthesis aims to identify how scientific understanding of multidisciplinary processes at interconnected scales can advance coral reef restoration. The work is placed within the context of a decision support framework to evaluate the design and effectiveness of coral restoration for coastal resilience. Successfully linking multidisciplinary science with restoration practice will ensure that future large‐scale coral reef restorations maximize protection for at‐risk coastal communities.
Mirror activation pattern selection for energy efficient hexagonal QAM aided media‐based modulation
Authors: Ozden Burak Ahmet , Cogen Fatih , Aydin Erdogan 
Published: May 2023

AbstractIn this article, three mirror activation pattern (MAP) selection techniques are used to improve the performance of energy‐efficient hexagonal quadrature amplitude modulation (HQAM) aided media‐based modulation (MBM) system called HMBM. These three MAP selection (MS) aided HQAM techniques: (i) capacity‐optimized MS‐based HMBM (CMS‐HMBM) scheme, (ii) MAP correlation (MC) aided MS‐based HMBM (MMS‐HMBM) scheme, (iii) Euclidean distance (ED) based MS aided HMBM (EMS‐HMBM) scheme. MBM technique, one of the newest and most competitive candidates of the index modulation family, increases spectral efficiency linearly and significantly improves error performance. When MS techniques are integrated into telecommunication techniques, they significantly increase the performance of the system. Extensive computer simulations with Monte Carlo for the considered systems are performed on Rayleigh fading channels. The suggested system offers superior error performance than the conventional MBM scheme since it incorporates CMS, MMS, and EMS techniques. Additionally, the suggested new method offers greater energy efficiency than ‐QAM constellation schemes since HQAM constellation schemes are by their very nature high energy efficiency. It is shown that the proposed CMS‐HMBM, MMS‐HMBM, and EMS‐HMBM systems provide better error performance than capacity‐optimized antenna selection (COAS) aided hexagonal spatial modulation (COAS‐HSM), antenna correlation‐based AS aided HSM (ACAS‐HSM), Euclidean distance optimized AS aided HSM (EDAS‐HSM), SM, and MBM systems for the same spectral efficiency. The suggested systems are envisaged for usage in sixth‐generation and later wireless networks because of their high performance provided by the CMS, MMS, and EMS methods in the proposed system and the high spectral efficiency provided by the HMBM approach.
Tyrosine metabolic reprogramming coordinated with the tricarboxylic acid cycle to drive glioma immune evasion by regulating PD‐L1 expression
Authors: Wang Ji‐Yan , Dai Xin‐Tong , Gao Qing‐Le , Chang Hong‐Kai , Zhang Shuai , Shan Chang‐Liang , He Tao 
Published: May 2023

AbstractDue to the existence of the blood–brain barrier in glioma, traditional drug therapy has a poor therapeutic outcome. Emerging immunotherapy has been shown to have satisfactory therapeutic effects in solid tumors, and it is clinically instructive to explore the possibility of immunotherapy in glioma. We performed a retrospective analysis of RNA‐seq data and clinical information in 1027 glioma patients, utilizing machine learning to explore the relationship between tyrosine metabolizing enzymes and clinical characteristics. In addition, we also assessed the role of tyrosine metabolizing enzymes in the immune microenvironment including immune infiltration and immune evasion. Highly expressed tyrosine metabolizing enzymes 4‐hydroxyphenylpyruvate dioxygenase, homogentisate 1,2‐dioxygenase, and fumarylacetoacetate hydrolase not only promote the malignant phenotype of glioma but are also closely related to poor prognosis. The expression of tyrosine metabolizing enzymes could distinguish the malignancy degree of glioma. More importantly, tyrosine metabolizing enzymes regulate the adaptive immune process in glioma. Mechanistically, multiple metabolic enzymes remodel fumarate metabolism, promote α‐ketoglutarate production, induce programmed death‐ligand 1 expression, and help glioma evade immune surveillance. Our data suggest that the metabolic subclass driven by tyrosine metabolism provides promising targets for the immunotherapy of glioma.
RNF182 induces p65 ubiquitination to affect PDL1 transcription and suppress immune evasion in lung adenocarcinoma
Authors: Zeng Xingdu , Tang Xiaoyuan , Chen Xingxiang , Wen Huilan 
Published: May 2023

AbstractBackgroundThe RING finger (RNF) proteins are a large group of ubiquitin ligases whose aberrant expression is often associated with disease progression. This study examines the function of RNF protein 182 (RNF182) in lung adenocarcinoma (LUAD) cells and its impact on p65 and programmed death ligand 1 (PDL1) regulation.MethodsExpression of RNF182, p65, and PDL1 in LUAD tissues and cells was measured using immunohistochemistry, reverse transcription quantitative polymerase chain reaction (RT‐qPCR), and/or western blot (WB) assays. LUAD cells were induced to overexpress RNF182 and p65, followed by cell counting kit‐8, colony formation, Transwell, and flow cytometry assays to evaluate the cells’ malignant phenotype. Coimmunoprecipitation and WB assays were used to verify RNF182's effect on p65 ubiquitination. Chromatin immunoprecipitation‐qPCR and luciferase assays were used to analyze p65's transcriptional regulation of PDL1. Coculture of LUAD with CD8+ cytotoxic T cells was performed to detect lactate dehydrogenase release and interferon‐γ and interleukin‐2 concentrations. LUAD cells were implanted in mice to analyze tumorigenicity.ResultsRNF182 was poorly expressed, while p65 and PDL1 were highly expressed in LUAD tissues and cells. RNF182 overexpression suppressed the malignant properties of LUAD cells, and it promoted p65 ubiquitination and protein degradation. p65 activated PDL1 transcription. Overexpression of RNF182 suppressed the PDL1 expression, increased the cytotoxicity in LUAD cells cocultured with CD8+ T cells, and suppressed the tumorigenesis of cancer cells in vivo. However, these tumor‐suppressive effects of RNF182 on LUAD cells were blocked by p65 restoration.ConclusionThis research demonstrates that RNF182 induces p65 ubiquitination to suppress PDL1 transcription and immunosuppression in LUAD.
Lung lobe segmentation in computed tomography images based on multi‐feature fusion and ensemble learning framework
Authors: Peng Yuanyuan , Zhang Jiaxing 
Published: May 2023

AbstractLung lobe segmentation in computed tomography (CT) images can be regarded as essential supporting information for the diagnosis and treatment of lung diseases, yet it is a challenging uncertainty for the complex segmentation task due to the diverse structures like indistinguishable pulmonary arteries and veins, unpredictable pathological deformation and blurring pulmonary fissures. To circumvent these challenges, we present a productive deep learning network based on multi‐feature fusion and ensemble learning approach to highlight pulmonary fissure representation and suppress other structures for lung lobe segmentation in CT images. Considering that pulmonary fissures are the physical boundaries of lung lobes, a multi‐feature fusion approach is presented to integrate original images, enhanced fissure magnitude images, and enhanced fissure orientation images to highlight shape representation for semantic segmentation. In addition, a deep‐supervised ensemble learning network is employed to combine multiple inducers for lung lobe segmentation improvement. The performance of the proposed deep learning model is validated in experiments with an available dataset, it acquired a high IoU value and a low Hausdorff distance compared with manual references. Experimental results demonstrate that the proposed computational model based on multi‐feature fusion and deep‐supervised ensemble learning framework has an improved predictive performance than many state‐of‐the‐art deep neural networks in lung lobe segmentation.
Analysis of stress/strain distribution in dental mini‐implants manufactured by additive manufacturing and machining
Authors: de Oliveira Thaisa Theodoro , Valente Mariana Lima da Costa , Simões Isadora Gazott , Batalha Rodolfo Lisboa , Macedo Ana Paula , Bolfarini Claudemiro , Pauly Simon , dos Reis Andréa Cândido 
Published: May 2023

AbstractThe study aimed to analyze the stress/strain distribution of new designs of mini‐implants manufactured by machining and additive manufacturing. Four designs were evaluated (Ø2.0 mm × 10 mm): Intra‐lock, helical, threaded machined (MN threaded) and threaded by additive manufacturing (AM threaded). Analysis of stress was performed through photoelastic analysis (100 N axial/oblique loads) and analysis of strain by digital image correlation (DIC) (250 N axial/100 N oblique load). Data distribution was verified using the Shapiro–Wilk test and a significance level of 5% was adopted. Quantitative data were analyzed using the non‐parametric Kruskal–Wallis test. In photoelastic analysis, the Intra‐lock mini‐implant showed the highest stresses in the cervical (104 kPa), middle (108 kPa), and apical (212 kPa) thirds. Higher stresses were observed in the oblique loading situation for all designs. For DIC analysis, axial loading, a significant difference was observed for the AM Threaded mini‐implants about the other designs in the cervical third (p = .04), with the highest strain value 47 με [10; 76]. In oblique loading, a significant difference between the mini‐implants was observed in the middle and apical thirds, with higher strains for the AM threaded design −185 με [−173; 162] (p = .009) and 242 με [87; 372] (p = .013), respectively. In general, the influence of different mini‐implant designs and the additive manufacturing method on the stress/strain was observed, in the photoelastic and DIC analysis. The evaluated designs demonstrated a lower concentration of stress/strain in the cervical region compared to the apical region, and higher stress/strain in situations of oblique load compared with axial load.