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Impact of an oligosaccharide-based polymer on the metabolic profiles and microbial ecology of weanling pigs experimentally infected with a pathogenic E.coli

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Journal of Animal Science and Biotechnology 2024年第2期15卷 749-764页

作者： Kwangwook Kim Cynthia Jinno Xunde Li David Bravo Eric Cox Peng Ji Yanhong Liu Department of Animal Science University of CaliforniaDavisCA 95616USA Department of Animal Science Michigan State UniversityEast LansingMI 48824USA Cedars-Sinai Medical Center Los AngelesCA 90084USA School of Veterinary Medicine University of CaliforniaDavisCA 95616USA Pancosma|ADM 1180 RolleSwitzerland Nutreco Exploration NutrecoThe Netherlands Department of Virology Parasitology and ImmunologyGhent University9000 GhentBelgium Department of Nutrition University of CaliforniaDavisCA 95616USA

Background Our previous study has reported that supplementation of oligosaccharide-based polymer enhances gut health and disease resistance of pigs infected with enterotoxigenic E.coli(ETEC)F18 in a manner similar to carbadox.The objective of this study was to investigate the impacts of oligosaccharide-based polymer or antibiotic on the host metabolic profiles and colon microbiota of weaned pigs experimentally infected with ETEC F18.Results Multivariate analysis highlighted the differences in the metabolic profiles of serum and colon digesta which were predominantly found between pigs supplemented with oligosaccharide-based polymer and antibiotic.The relative abundance of metabolic markers of immune responses and nutrient metabolisms,such as amino acids and carbohydrates,were significantly differentiated between the oligosaccharide-based polymer and antibiotic groups(q2.0).In addition,pigs in antibiotic had a reduced(P<0.05)relative abundance of Lachnospiraceae and Lactobacillaceae,whereas had greater(P<0.05)Clostridiaceae and Streptococcaceae in the colon digesta on d 11 post-inoculation(PI)compared with d 5 PI.Conclusions The impact of oligosaccharide-based polymer on the metabolic and microbial profiles of pigs is not fully understood,and further exploration is needed.However,current research suggest that various mechanisms are involved in the enhanced disease resistance and performance in ETEC-challenged pigs by supplementing this polymer.

关键词： Carbadox Colon microbiota Enterotoxigenic E.coli F18 Metabolomics Oligosaccharide-based polymer Weaned pigs

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Insights and reviews on battery lifetime prediction from research to practice

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Journal of Energy Chemistry 2024年第7期94卷 716-739页

作者： Xudong Qu Dapai Shi Jingyuan Zhao Manh-Kien Tran Zhenghong Wang Michael Fowler Yubo Lian Andrew FBurke Hubei Longzhong Laboratory Hubei University of Arts and ScienceXiangyang 441000HubeiChina Institute of Transportation Studies University of California DavisDavisCA 95616USA Department of Chemical Engineering University of WaterlooWaterlooOntario N2L 3G1Canada BYD Automotive Engineering Research Institute Shenzhen 518118GuangdongChina

The rising demand for energy storage solutions,especially in the electric vehicle and renewable energy sectors,highlights the importance of accurately predicting battery health to enhance their longevity and reliability.This article comprehensively examines various methods used to forecast battery health,including physics-based models,empirical models,and equivalent circuit models,among others.It delves into the promise of data-driven prognostics,utilizing both conventional machine learning and cuttingedge deep neural network techniques.The advantages and limitations of hybrid models are thoroughly analyzed,with a focus on the benefits of integrating diverse data sources to improve prognostic precision.Through practical case studies,the article showcases the effectiveness and flexibility of these approaches.It also critically addresses the challenges encountered in applying battery health prognostics in realworld scenarios,such as issues of scalability,complexity,and data anomalies.Despite these challenges,the article underscores the emerging opportunities brought about by recent technological,academic,and research advancements.These include the development of digital twin models for batteries,the use of data-centric Al and standardized benchmarking,the potential integration of blockchain technology for enhanced data security and transparency,and the synergy between edge and cloud computing to boost data analysis and processing.The primary goal of this article is to enrich the understanding of current battery health prognostic techniques and to inspire further research aimed at overcoming existing hurdles and tapping into new opportunities.It concludes with a visionary perspective on future research directions and potential developments in this evolving field,encouraging both researchers and practitioners to explore innovative solutions.

关键词： Batteries Lifetime Health Machine learning Deep learning Field Real world

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All-optical image denoising using a diffractive visual processor

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Light(Science & Applications) 2024年第3期13卷 429-445页

作者： Çağatay Işıl Tianyi Gan Fazil Onuralp Ardic Koray Mentesoglu Jagrit Digani Huseyin Karaca Hanlong Chen Jingxi Li Deniz Mengu Mona Jarrahi Kaan Akşit Aydogan Ozcan Electrical and Computer Engineering Department University of CaliforniaLos AngelesCA 90095USA Bioengineering Department University of CaliforniaLos AngelesCA 90095USA california NanoSystems Institute(CNSI) University of CaliforniaLos AngelesCA 90095USA university College London Department of Computer ScienceLondonUnited Kingdom

Image denoising,one of the essential inverse problems,targets to remove noise/artifacts from input images.In general,digital image denoising algorithms,executed on computers,present latency due to several iterations implemented in,e.g.,graphics processing units(GPUs).While deep learning-enabled methods can operate non-iteratively,they also introduce latency and impose a significant computational burden,leading to increased power consumption.Here,we introduce an analog diffractive image denoiser to all-optically and non-iteratively clean various forms of noise and artifacts from input images–implemented at the speed of light propagation within a thin diffractive visual processor that axially spans<250×λ,whereλis the wavelength of light.This all-optical image denoiser comprises passive transmissive layers optimized using deep learning to physically scatter the optical modes that represent various noise features,causing them to miss the output image Field-of-View(FoV)while retaining the object features of interest.Our results show that these diffractive denoisers can efficiently remove salt and pepper noise and image rendering-related spatial artifacts from input phase or intensity images while achieving an output power efficiency of~30–40%.We experimentally demonstrated the effectiveness of this analog denoiser architecture using a 3D-printed diffractive visual processor operating at the terahertz spectrum.Owing to their speed,power-efficiency,and minimal computational overhead,all-optical diffractive denoisers can be transformative for various image display and projection systems,including,e.g.,holographic displays.

关键词： remove rendering holographic

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Analysis of ancient mass extinction recoveries in marine environments: generating strategies for managing outcomes of the current mass extinction

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National Science Review 2024年第1期11卷 8-10页

作者： David J.Bottjer Department of Earth Sciences University of Southern California

The defining feature of a mass extinction and its associated recovery is the global amount of extinction that occurred[1]. However, there is finer-scale detail to the story, as seen in the ongoing modern mass extinction(the sixth mass extinction), which exhibits variable effects among marine ecosystems and environments, and hence geographic areas [1].

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Improvement of the conversion efficiency of Mg_(3)Sb_(2)thermoelectric devices through optimizing the resistivity of the MgSbNi barrier layer

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Journal of Materials Science & Technology 2024年第1期168卷 208-214页

作者： Huimin Zhang Yachao Wang Zuhair A.Munir Yongzhong Zhang Wenhao Fan Shaoping Chen College of Materials Science and Engineering Taiyuan University of TechnologyTaiyuan030024China Capital Aerospace Machinery Company Beijing100076China Department of Material Science and Engineering University of CaliforniaDavisCalifornia95616United States of America College of Physics and Optoelectronics Taiyuan University of TechnologyTaiyuan030024China Instrumental Analysis Center of Taiyuan university of Technology Taiyuan030024China

Mg_(3)Sb_(2)-based thermoelectric materials have been the focus of widespread investigations as promising candidates for the harvesting of waste heat.Interface stability and service performance are key points for the commercial applications of these materials.We utilized Mg_(4.3)Sb_(3)Ni as a barrier layer to improve the thermal stability of Mg 3 Sb 2-based devices.However,its intrinsic high resistivity contributed nega-tively to the desired performance of the device.In this work,we investigated two other Mg-Sb-Ni ternary phases,MgSbNi and MgSbNi_(2),as new barrier layer materials to connect with Mg_(3.2)Sb_(2)Y_(0.05).The results show that the efficiency of the Mg_(1.2)SbNi/Mg_(3.2)Sb_(2)Y_(0.05)/Mg_(1.2)SbNi joint is increased by 33%relative to the higher Mg-content barriers due to lower resistivity.The system exhibited good interfacial compatibility and showed little change with aging at 673 K for 20 days.

关键词： Mg_(3)Sb_(2) Mg_(1.2)SbNi Barrier layer Conversion efficiency

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统计学中微分几何的两例应用

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中国科学:数学 2024年

作者：彭捷 Department of Statistics university of california davis

本文讨论两个统计问题,其中微分几何的概念和观念发挥了关键作用.第一个问题涉及函数型数据的主成分估计,其中一部分参数具有正交约束,因此寻找最大似然估计需要在Stiefel流形上进行优化.第二个问题涉及对从扩散磁共振成像数据中估计出... 详细信息

本文讨论两个统计问题,其中微分几何的概念和观念发挥了关键作用.第一个问题涉及函数型数据的主成分估计,其中一部分参数具有正交约束,因此寻找最大似然估计需要在Stiefel流形上进行优化.第二个问题涉及对从扩散磁共振成像数据中估计出来的扩散张量进行核平滑.由于这些张量是3×3的正定矩阵,所以平滑过程需要在3×3的正定矩阵空间上定义,并且依赖于这个空间上特定度量的选择.

关键词： Stiefel流形典型度量 Newton法函数型数据主成分分析自然约化齐性空间扩散张量核平滑

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Targeting stroma and tumor,silencing galectin 1 treats orthotopic mouse hepatocellular carcinoma

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Acta Pharmaceutica Sinica B 2024年第1期14卷 292-303页

作者： Tahereh Setayesh Ying Hu Farzam Vaziri Xin Chen Jinping Lai Dongguang Wei Yu-Jui Yvonne Wan Department of Medical Pathology and Laboratory Medicine University of CaliforniaDavisSacramentoCA 95817USA Cancer Biology Program the University of Hawaii Cancer CenterHonoluluHI 96813USA Department of Pathology and Laboratory Medicine Kaiser Permanente Sacramento Medical CenterSacramentoCA 95825USA

This study examines inhibiting galectin 1(Gal1)as a treatment option for hepatocellular carcinoma(HCC).Gal1 has immunosuppressive and cancer-promoting roles.Our data showed that Gal1 was highly expressed in human and mouse HCC.The levels of Gal1 positively correlated with the stages of human HCC and negatively with survival.The roles of Gal1 in HCC were studied using overexpression(OE)or silencing using Igals1 siRNA delivered by AAV9.Prior to HCC initiation induced by RAS and AKT mutations,lgals1-OE and silencing had opposite impacts on tumor load.The treatment effect of lgals1 siRNAwas further demonstrated by intersecting HCC at different time points when the tumor load had already reached 9%or even 42%of the body weight.Comparing spatial transcriptomic profiles of Gal1 silenced and OE HCC,inhibiting matrix formation and recognition of foreign antigen in CD45t cell-enriched areas located at tumor-margin likely contributed to the anti-HCC effects of Gal1 silencing.Within the tumors,silencing Gal1 inhibited translational initiation,elongation,and termination.Furthermore,Gal1 silencing increased immune cells as well as expanded cytotoxic T cells within the tumor,and the anti-HCC effect of lgals1 siRNAwas CD8-dependent.Overall,Gal1 silencing has a promising potential for HCC treatment.

关键词： Liver Hepatocellular carcinoma Carbohydrate-binding lectin Galectin 1 Extracellular matrix Translation Spatial transcriptomics Tumor-margin

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Recent progress in MnBi2nTe3n+1 intrinsic magnetic topological insulators: crystal growth, magnetism and chemical disorder

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National Science Review 2024年第2期11卷 65-80页

作者： Chaowei Hu Tiema Qian Ni Ni Department of Physics and Astronomy and california Nano Systems Institute University of California-Los Angeles

The search for magnetic topological materials has been at the forefront of condensed matter research for their potential to host exotic states such as axion insulators, magnetic Weyl semimetals, Chern insulators,etc. To date, the MnBi2nTe3n+1family is the only group of materials showcasing van der Waals-layered structures, intrinsic magnetism and non-trivial band topology without trivial bands at the Fermi level. The interplay between magnetism and band topology in this family has led to the proposal of various topological phenomena, including the quantum anomalous Hall effect, quantum spin Hall effect and quantum magnetoelectric effect. Among these, the quantum anomalous Hall effect has been experimentally observed at record-high temperatures, highlighting the unprecedented potential of this family of materials in fundamental science and technological innovation. In this paper, we provide a comprehensive review of the research progress in this intrinsic magnetic topological insulator family, with a focus on single-crystal growth, characterization of chemical disorder, manipulation of magnetism through chemical substitution and external pressure, and important questions that remain to be conclusively answered.

关键词： MnBi2Te4 magnetic topological insulator magnetism tuning antiferromagnetism ferromagnetism pressure chemical doping

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Mapping super-resolution image quality

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Light(Science & Applications) 2024年第2期13卷 178-180页

作者： Megan A.Steves Ke Xu Department of Chemistry University of CaliforniaBerkeleyCA94720USA

The local quality of super-resolution microscopy images can be assessed and mapped by rolling Fourier ring correlation,even when image quality varies within a single image.

关键词： image resolution Mapping

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Evidence supporting the relationship between maternal asthma and risk for autism spectrum disorders

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Neural Regeneration Research 2025年第4期20卷 1101-1102页

作者： Hadley Osman Paul Ashwood Department of Medical Microbiology and Immunology and the M.I.N.D.InstituteUniversity of California at DavisSacramentoCAUSA

During pregnancy,maternal immune activation(MIA),due to infection,chronic inflammatory disorders,or toxic exposures,can result in lasting health impacts on the developing fetus.MIA has been associated with an increased risk of neurodevelopmental disorders,such as autism spectrum disorder(ASD)in the offspring.ASD is characterized by increased repetitive and stereotyped behaviors and decreased sociability.As of 2020,1 in 36 children are diagnosed with ASD by the age of 8 years,with ASD rates continuing to increase in prevalence in USA(Tamayo et al.,2023).Post-mortem brain studies,biomarker and transcriptomic studies,and epidemiology studies have provided compelling evidence of immune dysregulation in the circulation and brain of individuals diagnosed with ASD.Currently,the etiology of ASD is largely unknown,however,genetic components and environmental factors can contribute to increased susceptibility.Maternal allergic asthma(MAA),a form of MIA,has been identified as a potential risk factor for developing neurodevelopmental disorders(Patel et al.,2020).Asthma is a chronic inflammatory condition driven by a T-helper type(TH)2 immune response.

关键词： disorders epidemiology fetus

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