bluuebunny/crossref_metadata_2025_split huggingface dataset:
Blocking muscle wasting via deletion of the muscle-specific E3 ubiquitin ligase MuRF1 impedes pancreatic tumor growth
Authors: Neyroud Daria , Laitano Orlando , Dasgupta Aneesha , Lopez Christopher , Schmitt Rebecca , Schneider Jessica , Hammers David , Sweeney Lee , Walter Glenn , Doles Jason , Judge Sarah , Judge Andrew 
Published: February 2023

Abstract
Cancer-induced muscle wasting reduces quality of life, complicates or precludes cancer treatments, and predicts early mortality. Herein, we investigated the requirement of the muscle-specific E3 ubiquitin ligase, MuRF1, for muscle wasting induced by pancreatic cancer. Murine pancreatic cancer (KPC) cells, or saline, were injected into the pancreas of WT and MuRF1-/- mice, and tissues analyzed throughout tumor progression. KPC tumors induced progressive wasting of skeletal muscle and systemic metabolic reprogramming in WT mice, but not MuRF1-/- mice. KPC tumors from MuRF1-/- mice also grew slower, and showed an accumulation of metabolites normally depleted by rapidly growing tumors. Mechanistically, MuRF1 was necessary for the KPC-induced increases in cytoskeletal and muscle contractile protein ubiquitination, and the depression of proteins that support protein synthesis. Together, these data demonstrate that MuRF1 is required for KPC-induced skeletal muscle wasting, whose deletion reprograms the systemic and tumor metabolome and delays tumor growth.
Diosmetin blocks type Ⅰ interferon signaling by metabolic control of phosphatidylethanolamine
Authors: Shen Nan , Jiang Xiaoyue , Yin Zhihua , Liu Can , Gao Xingyu , Cai Bin , Zhou Kaixia , Qi Chaojun , Deng Jun , Qu Bo , Qin Yuting , Ding Huihua , Ye Zhizhong , Wu Lingling 
Published: February 2023

Abstract

Type I interferon (IFN-I) is essential in the development of Systemic Lupus Erythematosus (SLE) and many other autoimmune diseases. To explore the metabolic regulations of IFN-I signaling pathway, we conducted a high through-put screening of a small molecule library and identified diosmetin as a potent compound for blocking IFN-I signaling. We showed diosmetin functioned by preventing the alteration of cellular phosphatidylethanolamine and the spatiotemporal dynamics of IFNAR2 during the activation of IFN-I signaling pathway, and CYP1B1 was verified as the potential target of diosmetin. Further, diosmetin can ameliorate lupus-like autoimmune phenotypes in IFNα-accelerated NZB/NZW F1 lupus model and pristane-induced murine lupus model. Of note, diosmetin can block over-activated IFN-I signaling pathway in PBMCs from lupus patients by reducing the expression of CYP1B1. Our findings reveal a novel lipid metabolic regulation of IFN-I signaling and a potent alternative therapeutic target for autoimmune diseases with overactivated IFN-I signaling pathway.
Deciphering the Role of Saliva in COVID 19: A Global Cross-Sectional Study on the Knowledge, Awareness and Perception among Dentists
Authors: Kritika Selvakumar , Mahalaxmi Sekar , Sriniva N , Krithikadatta Jogikalmat 
Published: February 2023

Abstract
Objectives: The global pandemic outbreak of the coronavirus has instilled the quest amongst researchers on the expedited need for the early detection of viral load. Saliva is a complex oral biological fluid which not only causes the disease transmission but can be an effective alternative sample for detection of SARS-CoV2. This provides an ideal opportunity for dentists to be the frontline healthcare professionals who can collect the salivary samples; however the awareness of this amongst dentists is uncertain. Hence the aim of this survey was to evaluate the knowledge, perception and awareness of the role of saliva in detecting the SARS-CoV2 among dentists worldwide.
Methods: The online questionnaire comprising of 19 questions was shared to 1100 dentists worldwide and a total of 720 responses was collected. The data was tabulated, statistically analysed using the non- parametric Kruskal-Wallis test (p<0.05). Based on the principal component analysis, 4 components (knowledge about virus transmission, perception about SARS-CoV2 virus, awareness on the sample collection and knowledge about prevention of the virus) were obtained which was compared with the 3 independent variables (years of clinical experience, occupation and region).
Results: A statistically significant difference was observed in the awareness quotient amongst the dentists with 0-5 years and greater than 20 years of clinical experience. In terms of the occupation, a significant difference was noted when comparing the postgraduate students to practitioners knowledge about the virus transmission. A highly significant difference was seen on comparing academicians and postgraduate students and also between academicians and practitioners. No significant difference was evidenced amongst the different regions, however the mean score was in the range of 3-3.44.
Conclusion: This survey highlights the deficiency in the knowledge, perception and awareness among dentists worldwide.
Long-term Trends in Arctic Riverine Chemistry Signal Multi-faceted Northern Change
Authors: Tank Suzanne , McClelland James , Spencer Robert , Shiklomanov Alexander , Suslova Anya , Moatar Florentina , Amon Rainer , Cooper Lee , Elias Greg , Gordeev Vyacheslav , Guay Christopher , Gurtovaya Tatiana , Kosmenko Lyudmila , Mutter Edda , Peterson Bruce , Peucker-Ehrenbrink Bernhard , Raymond Peter , Schuster Paul , Scott Lindsay , Staples Robin , Striegl Robert , Tretiakov Mikhail , Zhulidov Alexander , Zimov Nikita , Zimov Sergey , Holmes Robert 
Published: February 2023

Abstract
Large rivers integrate processes occurring throughout their watersheds, and are therefore sentinels of change across broad spatial scales. Riverine chemistry also regulates ecosystem function across Earth’s land-ocean continuum, exerting control from the micro- (e.g., food web) to the macro- (e.g., carbon cycle) scale. In the rapidly warming Arctic, a wide range of processes have been hypothesized to alter river water chemistry. However, it is unknown how the land-ocean flux of waterborne constituents is changing at the pan-Arctic scale. Here, we show profound shifts in the concentration and transport of biogeochemical constituents in the six largest Arctic rivers (the Ob’, Yenisey, Lena, Kolyma, Yukon, and Mackenzie) since 2003, near river mouths capturing two-thirds of the pan-Arctic watershed. While some constituent fluxes increase substantially at the pan-Arctic scale (alkalinity and associated ions), others decline (nitrate and associated inorganic nutrients) or are overall unchanged (dissolved organics). These clear but divergent trends diagnose a multi-systems perturbation that indicates alteration of processes ranging from chemical weathering on land, to primary production in the coastal ocean. We anticipate these findings will refine models of current and future functioning of the coupled land-ocean Arctic system, and spur research on scale-dependent change across the river-integrated Arctic domain.
Water stabilizes an alternate turn conformation in horse heart myoglobin
Authors: Bronstein Alex , Marx Ailie 
Published: February 2023

Abstract
Comparison of myoglobin structures reveals that protein isolated from horse heart consistently adopts an alternate turn conformation in comparison to its homologues. Analysis of hundreds of high-resolution structures discounts crystallization conditions or the surrounding amino acid protein environment as explaining this difference, that is also not captured by the AlphaFold prediction. Rather, a water molecule is identified as stabilizing the conformation in the horse heart structure, which immediately reverts to the whale conformation in molecular dynamics simulations excluding that structural water.
Battery pack degradation - Understanding aging in parallel-connected lithium-ion batteries under thermal gradients
Authors: Naylor-Marlow Max , Chen Jingyi , Wu Billy 
Published: February 2023

Abstract
Practical lithium-ion battery systems require parallelisation of tens to hundreds of cells to achieve high capacities, however interconnection resistances, pack architecture and thermal gradients influence initial and subsequent lifetime performance. Fundamental understanding around the interplay between these design factors and degradation modes is still a major gap; motivating this work to develop understanding around the effects of heterogeneities on parallel-string degradation. An experimental study of surface cooled parallel-string lifetime (temperature range 20-45 °C) shows thermal heterogeneities caused divergent capacity fade between parallel-connected cells. While growth of the anode solid-electrolyte interphase is generally quoted as the dominant degradation mechanism, for the blended cathode (lithium nickel manganese cobalt oxide/lithium cobalt oxide) cells studied, impedance growth was negatively correlated with temperature, suggesting other dominant mechanisms. Consequently, increasingly heterogeneous current and state-of-charge distributions occur during aging. Quantitative diagnostics indicate significant loss of cathode active material over the range of temperatures studied. From this, a mechanistic explanation of the observed degradation behaviour is proposed and the comprehensive aging dataset is made available. This work thus highlights the critical role of capturing cathode degradation processes in parallel-connected batteries; providing key insights for battery pack developers.
A serial mediation model of social media addiction and college students’ academic engagement: The role of sleep quality and fatigue
Authors: Zhuang Jie , Mou Qiaoxing , Zheng Tong , Gao Fei , Zhong Yaqin , Lu Qingyun , Gao Yuexia , zhao Miaomiao 
Published: February 2023

Abstract
Background
It has been documented that social media addiction (SMA) has a detrimental effect on college students’ academic engagement. However, the mechanisms underlying this association have been little studied. This study aimed to determine the serial mediation effects of sleep quality and fatigue in the connection between SMA and academic engagement among college students.
Methods
A cross-sectional survey was conducted with 2661 college students. The participants completed the Bergen Social Media Addiction Scale, and the Utrecht Student Work Engagement Scale for Students, the Pittsburgh Sleep Quality Index and the Fatigue Assessment Scale. The serial mediation effects were examined using Model 6 in Hayes’ PROCESS macro for SPSS.
Results
The results showed that SMA among college students had a negative relationship with their academic engagement (Effect = − 0.051, 95% CI: −0.087 to − 0.015); both sleep quality(Effect = − 0.031, 95% CI: −0.048 to − 0.016) and fatigue played(Effect = − 0.109, 95% CI: −0.133 to − 0.088) partial and parallel mediation role in the relationship between SMA and academic engagement; and sleep quality and fatigue played a serial mediating role in the relationship between SMA and academic engagement(Effect = − 0.080, 95% CI: −0.095 to − 0.066). The total mediation effect was 81.2%.
Conclusions
Decreased academic engagement caused by SMA can be aggravated by poor sleep quality and fatigue. Therefore, improving sleep quality and reducing fatigue should be considered in interventions for college students addicted to social media to promote their engagement in academic work.
Comparison of the Efficacy of 68Ga-PSMA-11 PET/CT and 68Ga-PSMA-11 PET/MRI for Prostate Cancer Staging: Protocol of a Single-Center Prospective Study
Authors: Wang Ye , Zhang Xiaomin , Cheng Chao , Chen Rui , Ta Na , Yan Shi , Xiao YuTian , Wang Jian , Song Shaoli , Zuo Changjing , Ren Shancheng 
Published: February 2023

Abstract
Background: Prostate cancer is the most common malignancy in men; thus, its diagnosis is of utmost importance. With the advancement of imaging techniques, many diagnostic methods have become available, the most novel being prostate-specific membrane antigen (PSMA) positron emission tomography (PET). The specificity and sensitivity of PSMA PET/computed tomography (CT) for the diagnosis of prostate cancer have already been recognized. Current research focuses on the utility of PSMA PET/magnetic resonance imaging (MRI); however, almost all studies to date are retrospective. Therefore, we designed a prospective study to explore the diagnostic and staging efficacy of PSMA PET/MRI for prostate cancer by head-to-head comparison with PSMA PET/CT.
Methods: The study population will include patients with intermediate- or high-risk prostate cancer who will undergo both PSMA PET/CT and PSMA PET/MRI with a single contrast injection, followed by robot-assisted radical prostatectomy or systemic treatment. The imaging findings will be compared with the postoperative pathological findings to evaluate the diagnostic efficacy of PSMA PET/MRI for in situ tumors, extracapsular extension, and seminal vesicle invasion.
Discussion: By head-to-head comparing the efficacy of PSMA PET/CT and PSMA PET/MRI with the use of pathological findings as control, we intend to support the use of PSMA PET/MRI in the diagnosis of PCa and determine the most suitable target population in clinical practice.
Trial registration: This study has been registered at Chinese Clinical Trial Registry (ChiCTR2100042373)on January 21, 2021.
Using Spirulina as an adjuvant to the treatment of Periodontitis: a systematic review of clinical trials
Authors: Andrade Gabriel , Labarca Tomas Felipe , Llanca Valentina , Morales Paulina , Sabando Katherine , Ortuno Duniel 
Published: February 2023

Abstract
Background: This study aims to assess the clinical effectiveness of spirulina as an adjuvant to non-surgical periodontal therapy (NSPT) in contrast with the use of NSPT alone for the treatment of periodontitis.
Method: A systematic search was conducted in MEDLINE, EMBASE, Scopus, Central Cochrane Library, Scielo, Epistemonikos, and Google Scholar databases until April, 1st 2022. Adults with periodontitis who received NSPT were included. The intervention group consisted of subjects that were administered spirulina as an adjuvant to NSPT; the control group received NSPT alone. The search terms included randomized controlled clinical trials (RCT), with no language restrictions, and the following clinical periodontal parameters were established as primary change results: bleeding on probing index, probing depth, clinical attachment levels and gingival index. The risk of bias (RoB) was assessed by the RoB-2 tool. The mean differences were calculated and grouped through a meta-analysis, by using a random effects model.
Results: The risk of bias in the selected articles varied from “serious” to “very serious”. It was detected that there was a higher reduction in probing depth stemming from the use of spirulina as an adjuvant to NSPT, as compared with the probing depth values seen when receiving NSPT alone.
Conclusion: The evidence on the reduction of probing depth experienced by those participants who were treated with spirulina as an adjuvant to NSPT, compared to the one observed in those receiving NSPT alone, is weak. However, its clinical relevance can be argued upon given the scarce number of articles with high certainty and the high heterogeneity of the studies analyzed.
Systematic Review Registration: The study was registered in the International Prospective Register of Systematic Reviews (PROSPERO) under the reference number CRD42022318265.
Budgets of Second-Order Turbulence Moments over a Real Urban Canopy
Authors: Akinlabi Emmanuel Olutayo , Giometto Marco , Li Dan 
Published: February 2023

Abstract
This study analyses budgets of second-order turbulence moments over a real urban canopy using large-eddy simulation (LES). The urban canopy is representative of the City of Boston, MA, United States and is characterized by a significant height variability relative to the mean building height. The budgets of double-average Reynolds-stress components, scalar fluxes, and scalar variances are examined with a focus on the importance of the dispersive terms above the mean building height. Results reveal the importance of the wake (dispersive) production term, in addition to the shear production term, in the turbulent kinetic energy, streamwise velocity variance and scalar variance budgets well above the mean building height. In this region, the turbulent and dispersive transport terms are smaller than the local production and dissipation terms. Nonetheless, the dispersive transport terms in the TKE and scalar variance budgets can be as important as their turbulent counterpart. The viscous dissipation term is the main sink in the TKE, vertical velocity variance and scalar variance budgets. In the momentum and scalar flux budgets, the pressure-strain correlation term and the pressure gradient-scalar interaction term are the significant sink terms, respectively. Our analysis highlights the complexity associated with the budgets of second-order turbulence moments over real urban canopies.
Using pseudo-labeling to improve performance of deep neural networks for animal identification
Authors: Ferreira Rafael E. P. , Lee Yong Jae , Dórea João R. R. 
Published: February 2023

Abstract
Contemporary approaches for animal identification use deep learning techniques to recognize coat color patterns and identify individual animals in a herd. However, deep learning algorithms usually require a large number of labeled images to achieve satisfactory performance, which creates the need to manually label all images when automated methods are not available. In this study, we evaluated the potential of a semi-supervised learning technique called pseudo-labeling to improve the predictive performance of deep neural networks trained to identify Holstein cows using labeled training sets of varied sizes and a larger unlabeled dataset. By using such technique to automatically label previously unlabeled images, we achieved an increase of up to 19.6 percentage points compared to using only manually labeled images for training. Our final best model achieved an accuracy of 92% on an independent test set to correctly identify individuals in a herd of 59 cows. These results indicate that it is possible to achieve better performing deep neural networks by using images that are automatically labeled based on a small dataset of manually labeled images using a relatively simple technique. Such strategy can save time and resources that would otherwise be used for labeling, and leverage well annotated small datasets.
Risk prediction for Dermatomyositis-associated hepatocellular carcinoma
Authors: Zhang Xusheng , Ma Yongxin , Liu Kejun , Chen Long , Ding Lin , Ma Weihu , Chen Bendong 
Published: February 2023

Abstract
Objective
To explore dermatomyositis signature genes as potential biomarkers of hepatocellular carcinoma and their associated molecular regulatory mechanisms.
Methods
Based on the mRNA-Seq data of dermatomyositis and hepatocellular carcinoma in public databases, five dermatomyositis signature genes were screened by LASSO regression analysis and support vector machine (SVM) algorithm, and their biological functions in dermatomyositis with hepatocellular carcinoma were investigated, and a nomogram risk prediction model for hepatocellular carcinoma was constructed and its predictive efficiency was initially evaluated. The immune profile in hepatocellular carcinoma was examined based on the CIBERSORT and ssGSEA algorithms, and the correlation between five dermatomyositis signature genes and tumor immune cell infiltration and immune checkpoints in hepatocellular carcinoma was investigated.
Results
The expression levels of five dermatomyositis signature genes were significantly altered in hepatocellular carcinoma and showed good diagnostic efficacy for hepatocellular carcinoma, suggesting that they may be potential predictive targets for hepatocellular carcinoma, and the risk prediction model based on five dermatomyositis signature genes showed good risk prediction efficacy for hepatocellular carcinoma and has good potential for clinical application. In addition, we also found that the upregulation of SPP1 expression may activate the PI3K/ART signaling pathway through integrin-mediated activation, which in turn regulates the development and progression of hepatocellular carcinoma.
Conclusion
LY6E, IFITM1, GADD45A, MT1M, and SPP1 are potential predictive targets for new-onset hepatocellular carcinoma in patients with dermatomyositis, and the upregulation of SPP1 expression may activate the PI3K/ART signaling pathway through the mediation of integrins to promote the development and progression of hepatocellular carcinoma.
Invasive Asteraceae plants can enhance community stability by changing pollination network structure, yet intense pollen disturbance to native plants in an oceanic island community
Authors: Wang Xiangping , Fu Xiao , Shi Miaomiao , Zhao Zhongtao , Li Shijin , Tu Tieyao 
Published: February 2023

Abstract
Invasive plant species severely threaten natural plant communities around the world, especially for islands. As introduction rates rise, novel species interactions appear within ecosystems. Studies that focus on invasive plant impacts on native plants, especially on native communities, remain largely unexplored and their conclusions are mixed. We constructed ten quantitative plant-pollinator interaction networks and calculated five network-level structure metrics (interaction evenness, linkage density, specialization, weighted connectance, and weighted nestedness) along an Asteraceae invasion gradient in the Yongxing Island community. We calculated the species-level nested contribution of each plant species in each network, and compared the nested contribution differences between invasive Asteraceae and non-Asteraceae species. Stigmas of three native and four invasive Asteraceae species were collected, and their pollen grains were identified. We analyzed invasive Asteraceae species impacts on native pollination network structure and native plant fitness. Both weighted nestedness and weighted connectance increased significantly as invasive Asteraceae became increasingly dominant. Invasive Asteraceae plants had higher nested contribution compared to native plants in most sites, and their nested contribution difference increased as the Asteraceae proportion increased. Furthermore, in native plant species, the proportion of conspecific pollen grains on stigmas decreased significantly, while the proportion of Asteraceae pollen grains on stigmas increased significantly with Asteraceae invasion level increased. For four invasive Asteraceae species, the proportion of conspecific pollen grains was significantly higher than heterospecific and other Asteraceae pollen grains on the stigmas. These results significantly add to our understanding of how the structure of plant-pollinator interaction networks changes concomitantly with plant invasion intensity. Invasive Asteraceae increase community stability and persistence, and negatively affect native plant fitness by influencing heterospecific pollen deposition on stigmas as invasion level increases. Invasive plants may greatly shape network structure and maintain community stability in oceanic island systems. Heterospecific pollen avoidance may be crucial mechanism facilitating Asteraceae invasion success within native communities, together with their ‘integration’, into plant-pollinator interactions on the Yongxing Island.