bluuebunny/crossref_metadata_2025_split huggingface dataset:
WDR77 inhibits prion-like aggregation of MAVS to limit antiviral innate immune response
Authors: Li Jiaxin , Zhang Rui , Wang Changwan , Zhu Junyan , Ren Miao , Jiang Yingbo , Hou Xianteng , Du Yangting , Wu Qing , Qi Shishi , Li Lin , Chen She , Yang Hui , Hou Fajian 
Published: August 2023

AbstractRIG-I-MAVS signaling pathway plays a crucial role in defending against pathogen infection and maintaining immune balance. Upon detecting viral RNA, RIG-I triggers the formation of prion-like aggregates of the adaptor protein MAVS, which then activates the innate antiviral immune response. However, the mechanisms that regulate the aggregation of MAVS are not yet fully understood. Here, we identified WDR77 as a MAVS-associated protein, which negatively regulates MAVS aggregation. WDR77 binds to MAVS proline-rich region through its WD2-WD3-WD4 domain and inhibits the formation of prion-like filament of recombinant MAVS in vitro. In response to virus infection, WDR77 is recruited to MAVS to prevent the formation of its prion-like aggregates and thus downregulate RIG-I-MAVS signaling in cells. WDR77 deficiency significantly potentiates the induction of antiviral genes upon negative-strand RNA virus infections, and myeloid-specific Wdr77-deficient mice are more resistant to RNA virus infection. Our findings reveal that WDR77 acts as a negative regulator of the RIG-I-MAVS signaling pathway by inhibiting the prion-like aggregation of MAVS to prevent harmful inflammation.
Long operating lifetime mid-infrared LEDs based on black phosphorus
Authors: Higashitarumizu Naoki , Tajima Shogo , Kim Jongchan , Cai Mingyang , Javey Ali 
Published: August 2023

AbstractBlack phosphorus (BP) is a narrow bandgap layered semiconductor promising for mid-infrared optoelectronic applications. BP-based devices have been shown to surpass state-of-the-art mid-infrared detectors and light-emitting diodes (LEDs) in terms of performance. Despite their device advantages, the material’s inherent instability in the air could hinder its use in practical optoelectronic applications. Here, we investigated the impact of passivation on the device lifetime of BP LEDs, which deteriorate in a matter of seconds without using passivation. The lifetime is significantly extended with an Al2O3 passivation layer and nitrogen packaging via atomic layer deposition and ultra-violet curable resin sealing. The operational lifetime (half-life) at room temperature is extrapolated to be ~15,000 h with an initial power density of 340 mW/cm2 based on accelerated life testing. The present results indicate that efficient BP optoelectronics can be highly robust through simple and scalable packaging technologies, with important practical implications for mid-infrared applications.
A multi-omic Nicotiana benthamiana resource for fundamental research and biotechnology
Authors: Ranawaka Buddhini , An Jiyuan , Lorenc Michał T. , Jung Hyungtaek , Sulli Maria , Aprea Giuseppe , Roden Sally , Llaca Victor , Hayashi Satomi , Asadyar Leila , LeBlanc Zacharie , Ahmed Zuba , Naim Fatima , de Campos Samanta Bolzan , Cooper Tal , de Felippes Felipe F. , Dong Pengfei , Zhong Silin , Garcia-Carpintero Victor , Orzaez Diego , Dudley Kevin J. , Bombarely Aureliano , Bally Julia , Winefield Christopher , Giuliano Giovanni , Waterhouse Peter M. 
Published: August 2023

AbstractNicotiana benthamiana is an invaluable model plant and biotechnology platform with a ~3 Gb allotetraploid genome. To further improve its usefulness and versatility, we have produced high-quality chromosome-level genome assemblies, coupled with transcriptome, epigenome, microRNA and transposable element datasets, for the ubiquitously used LAB strain and a related wild accession, QLD. In addition, single nucleotide polymorphism maps have been produced for a further two laboratory strains and four wild accessions. Despite the loss of five chromosomes from the ancestral tetraploid, expansion of intergenic regions, widespread segmental allopolyploidy, advanced diploidization and evidence of recent bursts of Copia pseudovirus (Copia) mobility not seen in other Nicotiana genomes, the two subgenomes of N. benthamiana show large regions of synteny across the Solanaceae. LAB and QLD have many genetic, metabolic and phenotypic differences, including disparate RNA interference responses, but are highly interfertile and amenable to genome editing and both transient and stable transformation. The LAB/QLD combination has the potential to be as useful as the Columbia-0/Landsberg errecta partnership, utilized from the early pioneering days of Arabidopsis genomics to today.
Rapid mapping of alloy surface phase diagrams via Bayesian evolutionary multitasking
Authors: Han Shuang , Lysgaard Steen , Vegge Tejs , Hansen Heine Anton 
Published: August 2023

AbstractSurface phase diagrams (SPDs) are essential for understanding the dependence of surface chemistry on reaction condition. For multi-component systems such as metal alloys, the derivation of such diagrams often relies on separate first-principles global optimization tasks under different reaction conditions. Here we show that this can be significantly accelerated by leveraging the fact that all tasks essentially share a unified configurational search space, and only a single expensive electronic structure calculation is required to evaluate the stabilities of a surface structure under all considered reaction conditions. As a general solution, we propose a Bayesian evolutionary multitasking (BEM) framework combining Bayesian statistics with evolutionary multitasking, which allows efficient mapping of SPDs even for very complex surface systems. As proofs of concept, we showcase the performance of our methods in deriving the alloy SPDs for two heterogeneous catalytic systems: the electrochemical oxygen reduction reaction (ORR) and the gas phase steam methane reforming (SMR) reaction.
The γ/γ′ microstructure in CoNiAlCr-based superalloys using triple-objective optimization
Authors: Liu Pei , Huang Haiyou , Wen Cheng , Lookman Turab , Su Yanjing 
Published: August 2023

AbstractOptimizing several properties simultaneously based on small data-driven machine learning in complex black-box scenarios can present difficulties and challenges. Here we employ a triple-objective optimization algorithm deduced from probability density functions of multivariate Gaussian distributions to optimize the γ′ volume fraction, size, and morphology in CoNiAlCr-based superalloys. The effectiveness of the algorithm is demonstrated by synthesizing alloys with desired γ/γ′ microstructure and optimizing γ′ microstructural parameters. In addition, the method leads to incorporating refractory elements to improve γ/γ′ microstructure in superalloys. After four iterations of experiments guided by the algorithm, we synthesize sixteen alloys of relatively high creep strength from ~120,000 candidates of which three possess high γ′ volume fraction (>54%), small γ′ size (<480 nm), and high cuboidal γ′ fraction (>77%).
Effect of surface modification on interfacial behavior in bioabsorbable magnesium wire reinforced poly-lactic acid polymer composites
Authors: Ali Wahaaj , Echeverry-Rendón Mónica , Kopp Alexander , González Carlos , LLorca Javier 
Published: August 2023

AbstractThe mechanical behavior, corrosion mechanisms, and cytocompatibility at the interface of magnesium wires reinforced poly-lactic acid polymer composites were studied by in vitro degradation study of 180 days. Surface modification of Mg wires by plasma-electrolytic oxidation improved the interface shear strength from 10.9 MPa to 26.3 MPa which decreased to 8 MPa and 13.6 MPa in Mg/PLA and PEO-Mg/PLA composites, respectively, after 42 days of in vitro degradation. Cross-sections of the composite showed good cytocompatibility, although the cells tended to migrate towards the PLA regions and avoided the surface of the Mg wires. Corrosion of Mg wires (without surface modification) was very fast in composite while corrosion of surface-modified Mg wires was significantly reduced, hydrogen gas was suppressed and only 3% mass loss of Mg wires was found after 180 days. Finally, the corrosion mechanisms at interface were discussed for both composites.
Protective antibody threshold of RTS,S/AS01 malaria vaccine correlates antigen and adjuvant dose in mouse model
Authors: Genito Christopher J. , Brooks Katherine , Smith Alexis , Ryan Emma , Soto Kim , Li Yuanzhang , Warter Lucile , Dutta Sheetij 
Published: August 2023

AbstractMouse models are useful for the early down-selection of malaria vaccine candidates. The Walter Reed Army Institute of Research has optimized a transgenic Plasmodium berghei sporozoite challenge model to compare the efficacy of Plasmodium falciparum circumsporozoite protein (CSP) vaccines. GSK’s RTS,S vaccine formulated in the adjuvant AS01 can protect malaria-naïve individuals against malaria. We report that the RTS,S/AS01 vaccine induces high level sterile protection in our mouse model. Down titration of the antigen at a constant AS01 dose revealed a potent antigen dose-sparing effect and the superiority of RTS,S/AS01 over a soluble CSP antigen. RTS,S-mediated protective immunity was associated with a threshold of major repeat antibody titer. Combined titration of the antigen and adjuvant showed that reducing the adjuvant could improve antibody boosting post-3rd vaccination and reduce the threshold antibody concentration required for protection. Mouse models can provide a pathway for preclinical assessment of strategies to improve CSP vaccines against malaria.
Multiple loss-of-function mutations of carotenoid cleavage dioxygenase 4 reveal its major role in both carotenoid level and apocarotenoid composition in flue-cured mature tobacco leaves
Authors: Magome Hiroshi , Arai Masao , Oyama Kiyoshi , Nishiguchi Ryo , Takakura Yoshimitsu 
Published: August 2023

AbstractApocarotenoid volatiles contribute to the flavor of many agricultural products. In many flowering plants, carotenoid cleavage dioxygenase 4 (CCD4) is involved in the decomposition of carotenoids and resultant production of C13-apocarotenoids, such as β-ionone derived from β-carotene. To understand the possible role of tobacco CCD4 genes (NtCCD4-S, NtCCD4-T1 and NtCCD4-T2) in these processes, we analyzed loss-of-function phenotypes. RNA interference transgenic plants showed yellow color in mature (senescent) leaves. Mature leaves of chemically induced double-mutant plants showed a stronger yellow color, and those of triple-mutant plants showed a pronounced yellow color. Carotenoid analysis of the leaves from mutants showed that lutein and β-carotene increased in line with the degree of color change compared to wild type, whereas there was little change in green color in their young leaves. This result indicates that CCD4s are important for the decomposition of carotenoids in the tobacco leaf maturation process. Analysis of apocarotenoids in flue-cured leaves of the multiple-mutant plants showed that many compounds, including megastigmatrienones, were decreased in comparison to wild type, whereas intriguingly β-ionone and dihydroactinidiolide were increased. Our results suggest that CCD4s play a key role in both carotenoid level and apocarotenoid composition in flue-cured mature tobacco leaves.
Gender differences in footwear characteristics between half and full marathons in China: a cross-sectional survey
Authors: Xia Yuyu , Shen Siqin , Jia Sheng-Wei , Teng Jin , Gu Yaodong , Fekete Gusztáv , Korim Tamás , Zhao Haotian , Wei Qiang , Yang Fan 
Published: August 2023

AbstractThere are concerns about the risk of injuries caused by marathons in China. Since male and female runners have different injury risks, gender differences in running shoe functionality should be further complemented. A supervised questionnaire survey of 626 marathon runners was collected. The questionnaire was categorized into four sections: (1) participant profile, (2) importance of shoe properties, (3) functional evaluation of shoe properties and (4) importance ranking of shoe properties. The Mann–Whitney U test, Fisher’s exact test of cross tabulation and Chi-square test, and two-way ANOVA were used to analyze the results of this survey. The significance level was set at P < 0.05. The full marathon participants were older than the half marathon participants. There was no gender difference in the importance of shoe features to elite runners. In addition, women are more concerned about upper elasticity and have higher requirements for running shoes than men. Women were more focused on injury prevention, while men were more focused on running performance. Heel cushioning was identified by all participants as the most important running shoe feature. There were no gender differences between elite players’ demand for running shoes, but significant gender differences were found between genders at other running levels.
Assessing individual risk and the latent transmission of COVID-19 in a population with an interaction-driven temporal model
Authors: Marmor Yanir , Abbey Alex , Shahar Yuval , Mokryn Osnat 
Published: August 2023

AbstractInteraction-driven modeling of diseases over real-world contact data has been shown to promote the understanding of the spread of diseases in communities. This temporal modeling follows the path-preserving order and timing of the contacts, which are essential for accurate modeling. Yet, other important aspects were overlooked. Various airborne pathogens differ in the duration of exposure needed for infection. Also, from the individual perspective, Covid-19 progression differs between individuals, and its severity is statistically correlated with age. Here, we enrich an interaction-driven model of Covid-19 and similar airborne viral diseases with (a) meetings duration and (b) personal disease progression. The enriched model enables predicting outcomes at both the population and the individual levels. It further allows predicting individual risk of engaging in social interactions as a function of the virus characteristics and its prevalence in the population. We further showed that the enigmatic nature of asymptomatic transmission stems from the latent effect of the network density on this transmission and that asymptomatic transmission has a substantial impact only in sparse communities.
Machine learning revealed symbolism, emotionality, and imaginativeness as primary predictors of creativity evaluations of western art paintings
Authors: Spee Blanca T. M. , Mikuni Jan , Leder Helmut , Scharnowski Frank , Pelowski Matthew , Steyrl David 
Published: August 2023

AbstractCreativity is a compelling yet elusive phenomenon, especially when manifested in visual art, where its evaluation is often a subjective and complex process. Understanding how individuals judge creativity in visual art is a particularly intriguing question. Conventional linear approaches often fail to capture the intricate nature of human behavior underlying such judgments. Therefore, in this study, we employed interpretable machine learning to probe complex associations between 17 subjective art-attributes and creativity judgments across a diverse range of artworks. A cohort of 78 non-art expert participants assessed 54 artworks varying in styles and motifs. The applied Random Forests regressor models accounted for 30% of the variability in creativity judgments given our set of art-attributes. Our analyses revealed symbolism, emotionality, and imaginativeness as the primary attributes influencing creativity judgments. Abstractness, valence, and complexity also had an impact, albeit to a lesser degree. Notably, we observed non-linearity in the relationship between art-attribute scores and creativity judgments, indicating that changes in art-attributes did not consistently correspond to changes in creativity judgments. Employing statistical learning, this investigation presents the first attribute-integrating quantitative model of factors that contribute to creativity judgments in visual art among novice raters. Our research represents a significant stride forward building the groundwork for first causal models for future investigations in art and creativity research and offering implications for diverse practical applications. Beyond enhancing comprehension of the intricate interplay and specificity of attributes used in evaluating creativity, this work introduces machine learning as an innovative approach in the field of subjective judgment.
Impact of different sowing dates and irrigation levels on NPK absorption, yield and water use efficiency of maize
Authors: Abaza Ahmed S. D. , Elshamly Ayman M. S. , Alwahibi Mona S. , Elshikh Mohamed S. , Ditta Allah 
Published: August 2023

AbstractUpper Egypt experiences high temperatures during summer and low temperatures during winter, which significantly impacts the sowing dates of maize in this region. The productivity of maize crops and water use efficiency can be greatly affected by water stress and sowing dates (SDs). Therefore, it is crucial to determine the optimal irrigation level and SDs based on local conditions. To assess the effects, two irrigation levels were employed: (1) control (full irrigation water applied) and (2) 70% of irrigation water. Field experiments were conducted at the National Water Research Center's water studies and research complex station in Toshka. The aim was to evaluate two irrigation levels (full and limited irrigation) across five SDs (early: mid-February and March, normal: mid-June, and late: mid-August and September) in both 2019 and 2020, in order to identify the ideal sowing date (SD) and irrigation level. The normal SD resulted in an increased the growth season length between plant emergence and maturity. Conversely, the late SD reduced the number of days until plant maturity, resulting in higher grain yields and water use efficiency (WUE). Notably, the SD in September, coupled with the 70% irrigation level, yielded the highest productivity and WUE, with a productivity of 7014 kg ha−1 and a WUE of 0. 9 kg m−3. Based on the findings, it is recommended that regions with similar conditions consider cultivating maize seeds in September, adopting a 70% irrigation level, to achieve optimal N uptake, growth traits (plant height, ear length, ear weight, number of rows per ear, and grain index weight), yield, and WUE.
Evaluation of nutritional and physicochemical characteristics of soy yogurt by Lactobacillus plantarum KU985432 and Saccharomyces boulardii CNCMI-745
Authors: Mehaya Fathy M. , El-Shazly Asmaa I. , El-Dein Asmaa Negm , Farid Mohamed A. 
Published: August 2023

AbstractNutritional yeast-produced soy yogurt has grown in demand, because of its unique nutritional and health benefits. It has low cholesterol, no lactose, and high levels of protein, probiotic yeast, vitamins, and minerals. In this work, Soymilk (12.5%) was prepared and fermented to produce soy yogurt. Growth curves, probiotic characteristics of Saccharomyces boulardii CNCMI-745 and Lactobacillus plantarum KU985432 were determined. The nutritional value of both yogurts was evaluated, including viable cell count, protein, vitamin B-complex, sugars, phenolic acids, and fatty acids, mineral content, stability, and storage. Analysis of the physicochemical composition of the yogurts included assessment of titratable acidity, antioxidant potential, viscosity, and moisture content. The probiotic viable count of the produced yogurts met the standards for commercial yogurts. S. boulardii CNCMI-745 displayed safety characteristics and high tolerance to heat, acid, and alkaline stress. The produced B vitamins increased in both yogurts. The total saturated fatty acids in Saccharomyces-yogurt decreased, while the unsaturated fatty acids increased. Saccharomyces-yogurt showed high antioxidant activity, phenolic acids, and crude protein content. Both yogurts demonstrated the same tendency for stability during 16 day-storage. In conclusion, using nutritional yeast in the production of soy yogurt increased its nutritional content more than probiotic lactic acid bacteria.
HLA-DQ and alcohol in the pathogenesis of irritable bowel syndrome in college students: a case–control study
Authors: Liu Huaying , Huang Lan , Li Li , Lu Tingting , Liang Huiping , Liu Chunbin 
Published: August 2023

AbstractSome researchers have shown that genetics contribute to the incidence of IBS. However, no research has focused on the interaction between HLA-DQ and living habits in the pathogenesis of IBS. The present study explored the risk factors for IBS in college students of Guangxi Han nationality and explored the interaction between HLA-DQ and living habits on the pathogenesis of IBS. Univariate and multivariate analyses were used to determine the risk factors for IBS. Logistic interaction analysis and the Excel table made by Andersson were used to explore the interaction between genes and living habits in the context of IBS. We found that low expression of HLA-DQ2 and DQ8 were associated with the pathogenesis of IBS, while mild to moderate alcohol consumption was associated with the occurrence of IBS symptoms. Only the HLA-DQ8 gene and alcohol consumption had additive interactions in the context of the occurrence of IBS. In other words, for college students of Guangxi Han nationality, HLA-DQ2 and HLA-DQ8 might be protective against IBS, while alcohol consumption might be an independent risk factor. There was an additive interaction between HLA-DQ8 and alcohol consumption in the occurrence of IBS.
Trends in baseline triglyceride-glucose index and association with predicted 10-year cardiovascular disease risk among type 2 diabetes patients in Thailand
Authors: Lertsakulbunlue Sethapong , Mungthin Mathirut , Rangsin Ram , Kantiwong Anupong , Sakboonyarat Boonsub 
Published: August 2023

AbstractTriglyceride-glucose (TyG) index is an independent risk factor for cardiovascular diseases (CVD). Our study determined the trends of the TyG index and its relationship to predicted CVD risk among patients with type 2 diabetes (T2D). A serial cross-sectional study was conducted including 63,815 participants with T2D aged 30–74 years without a history of CVD. The predicted CVD risk was based on the Framingham Heart Study (FHS). The receiver operating characteristic (ROC) curve was utilized for identifying the cutoff point of TyG index to predict intermediate-to-high CVD risk. The relationship between TyG index and predicted CVD risk was tested using linear and logistic regression. Decreasing trends of TyG index were observed between 2014 and 2018 (p < 0.001). ROC curve analysis of the TyG index indicated an AUC of 0.57 (95% CI 0.56–0.57, p < 0.001) in predicting intermediate-to-high predicted CVD risk, with a cutoff value of TyG index > 9.2 (sensitivity of 55.7%, specificity of 46.8%). An independent relationship between the TyG index and predicted CVD risk was observed. High TyG index was independently associated with intermediate-to-high predicted CVD risk. From our study, the TyG index was positively related to predicted 10-year CVD risk. However, the predictive ability of the TyG index in predicting the intermediate-to-high predicted 10-year CVD risk among patients with T2D remained questionable.