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Weizmannia coagulans:an ideal probiotic for gut health

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Food Science and Human Wellness 2024年第1期13卷 16-26页

作者： Shiqi Zhang Pinglan Li Suwon Lee Yu Wang Chunming Tan Nan Shang Key Laboratory of Functional Dairy Ministry of EducationCollege of Food Science and Nutritional EngineeringChina Agricultural UniversityBeijing 100083China Coree Beijing Co. Ltd.Beijing 101312China Key Laboratory of Precision Nutrition and Food Quality Department of Nutrition and HealthChina Agricultural UniversityBeijing 100083China College of engineering China Agricultural UniversityBeijing 100083China

Weizmannia coagulans(formerly Bacillus coagulans)is a spore-forming and lactic acid-producing *** has recently attracted much attention from researchers and food manufacturers due to its probiotic functions and stability in processing and *** is capable of improving gut health through the regulation of gut microbiota,modulation of immunity,and improving digestibility and ***,germinated cells and metabolites of *** modulate the gut micro-environment and further affect other *** is an environment-friendly probiotic since it can contribute to the host by reconstructing the balance of gut microbiota and only temporarily resides in the intestine after *** has been generally recognized as safe(GRAS)by the US Food and Drug Administration(FDA),thus it is an ideal probiotic for improving gut *** merit of its stability in processing and storage provides *** spores many possibilities for its use in various types of functional *** review presents an overview of the characteristics of *** that make it an ideal probiotic candidate and highlights the proposed health benefits with scientific evidence conferred by the administration of ***.

关键词： Weizmannia coagulans Spore former Probiotics Microbiota Gut disorders

Sciadopitysin exerts anticancer effects on HepG2 hepatocellular carcinoma cells by regulating reactive oxygen species-mediated signaling pathways

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BIOCELL 2024年第7期48卷 1055-1069页

作者： YAN-NAN LI YUN-HONG XIU YAN-JUN TANG JING-LONG CAO WEN-SHUANG HOU AN-QI WANG TIAN-ZHU LI CHENG-HAO JIN department of Biochemistry and Molecular Biology Heilongjiang Bayi Agricultural UniversityDaqingChina Hemodialysis Center Daqing Oilfield General HospitalDaqingChina department of Food Science and engineering Heilongjiang Bayi Agricultural UniversityDaqingChina department of Molecular Biology Chifeng UniversityChifengChina National Coarse Cereals engineering Research Center DaqingChina

Objectives:Sciadopitysin(SP)is aﬂavonoid in Ginkgo biloba that exhibits various pharmacological *** study aimed to investigate its antitumor effects and the underlying molecular mechanism of SP in hepatocellular carcinoma(HCC)***:Network pharmacology was used for target prediction *** Counting Kit-8(CCK-8)assay was used to test the cell *** cytometry was used to test the cell cycle distribution,apoptosis status,and reactive oxygen species(ROS)*** and wound-healing assay was used to test the migration effect of SP on HepG2 *** Blot assay was used to test the expression levels of ***:Network pharmacology analysis results showed that the mitogen-activated protein kinase(MAPK)and other signaling pathways are involved in the SP anti-HCC biological ***-8 assay results demonstrated that SP showed an obvious killing effect on three types of HCC cells and low cytotoxic effect on normal *** Blot andﬂow cytometry results showed that SP regulated MAPK/signal transducer and activator of transcription 3(STAT3)/nuclear factor kappa-B(NF-κB)signaling pathway to induce mitochondrion-dependent apoptosis in HepG2 ***,SP can arrest the G0/G1 phase cell cycle via the protein kinase B(AKT)/p21/p27/cyclin-dependent kinase(CDK)/Cyclin signaling *** healing and transwell assays showed that SP inhibited cell motility and invasion through the AKT/glycogen synthase kinase3β(GSK-3β)/vimentin/β-catenin signaling ***:Theseﬁndings demonstrated that SP induced mitochondrion-dependent apoptosis,arrested cell cycle in the G0/G1 phase,and inhibited cell migration by regulating the ROS-mediated signaling pathway in HepG2 ***,SP could serve as a therapeutic agent for the treatment of human HCC.

关键词： Sciadopitysin Hepatocellular carcinoma Apoptosis Cell cycle Cell migration

A modular microfluidic platform to study how fluid shear stress alters estrogen receptor phenotype in ER+breast cancer cells

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Microsystems & Nanoengineering 2024年第1期10卷 287-299页

作者： Braulio Andrés Ortega Quesada Jonathan Cuccia Rachael Coates Blake Nassar Ethan Littlefield Elizabeth C.Martin Adam T.Melvin Cain department of Chemical engineering Louisiana State UniversityBaton RougeLA 70803USA department of Chemical and Biological engineering Clemson UniversityClemsonSC 29634USA Biological and agricultural engineering Louisiana State UniversityBaton RougeLA 70803USA department Medicine Section Hematology and Medical OncologyTulane UniversityNew OrleansLA 70118USA

Metastatic breast cancer leads to poor prognoses and worse outcomes in patients due to its invasive behavior and poor response to *** is still unclear what biophysical and biochemical factors drive this more aggressive phenotype in metastatic cancer;however recent studies have suggested that exposure to fluid shear stress in the vasculature could cause *** this study a modular microfluidic platform capable of mimicking the magnitude of fluid shear stress(FSS)found in human vasculature was designed and *** device provides a platform to evaluate the effects of FSS on MCF-7 cell line,an estrogen receptor positive(ER+)breast cancer cell line,during circulation in the *** of the effects of FSS on MCF-7 cells was carried out utilizing two approaches:single cell analysis and bulk *** single cell analysis,cells were trapped in a microarray after exiting the serpentine channel and followed by immunostaining on the device(on-chip).Bulk analysis was performed after cells were collected in a microtube at the outlet of the microfluidic serpentine channel for western blotting(off-chip).It was found that cells exposed to an FSS magnitude of 10 dyn/cm^(2) with a residence time of 60 s enhanced expression of the proliferation marker Ki67 in the MCF-7 cell line at a single cell *** understand possible mechanisms for enhanced Ki67 expression,on-chip and off-chip analyses were performed for pro-growth and survival pathways ERK,AKT,and JAK/*** demonstrated that after shearing the cells phosphorylation of p-AKT,p-mTOR,and p-STAT3 were ***,there was no change in p-ERK1/*** is a mediator of ER rapid signaling,analysis of phosphorylated ERαwas carried out and no significant differences between sheared and non-sheared populations were *** together these results demonstrate that FSS can increase phosphorylation of proteins associated with a more aggressive phenotype in circulating cancer *** findin

关键词： fluid breast estrogen

Balancing machine learning and artificial intelligence in soil science with human perspective and experience

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Pedosphere 2024年第1期34卷 9-12页

作者： David C.WEINDORF Somsubhra CHAKRABORTY department of Earth and Atmospheric Science Central Michigan Universityount Pleasant M148859USA agricultural and Food engineering department Indian Institute of TechnologyKharagpur 721302India

Machine learning and artificial intelligence continue to evolve at a rapid pace, with many potential applications related to soil science. Even so, human experience and perception play an invaluable role in characterizing soil properties, especially qualitative properties that may elude sensing/computer-based modeling approaches. The elegant solution to this conundrum relies on the synthesis of computer-aided predictive modeling with human insight and *** global population surpasses 8 billion, the importance of optimized agronomic production to feed a hungry world has never been more important.

关键词： soil elude qualitative

Tracing suspended and bed sediments during high and low water periods using geochemical characteristics-Case study:Vazrood watershed,northern Iran

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Journal of Mountain Science 2024年第2期21卷 470-483页

作者： KARIMI Nabiyeh GHOLAMI Leila KAVIAN Ataollah KHALEDI DARVISHAN Abdulvahed department of Watershed Management Faculty of Natural ResourcesSari Agricultural Sciences and Natural Resources UniversitySari ***Iran department of Watershed Management engineering Faculty of Natural ResourcesTarbiat Modares UniversityNoor ***Iran

Complete and comprehensive information about sediment dynamic and identification of hotspots of sediment production and transport are necessary for understanding the erosion processes and increasing the efficiency of soil and water conservation *** studies used the sediment fingerprint techniques to investigate the contribution of different sources in suspended and bed sediment yield of the ***,the contribution of various land use/land covers in suspended and bed sediment yield for the great Caspian Sea basin is in an aura of ambiguity and the present study was conducted to gather information about an important part of this area in northern Iran,where rangelands are located upstream of Hyrcanian forests and dense agricultural lands are located *** surface soil of different land use/land covers including forest,rangeland,agriculture and streambank lands were sampled in 30 *** and bed sediments were sampled in the watershed outlet in two high and low water *** characteristics of soil and sediment samples containing 59 elements were measured using ICP-OES GBC *** reliable and suitable tracers from 59 elements were then selected using Range test,Kruskal-Wallis and Discriminant Function Analysis,respectively,in FingerPro package of R *** results showed that for suspended sediment,streambank and rangeland had the highest contributions of 86.2%and 47.5%,respectively,in two high and low water *** bed sediment,in two high and low water periods,rangeland and streambank had the highest contributions of 73.8%and 84.4%,*** use change and especially human activities such as agriculture,road construction and development of residential areas along the main river riparian zone has led to a significant increase in suspended and bed sediments.

关键词： Caspian Sea basin FingerPro Geochemistry Sediment transport Tracer combination

Sequential enantioselective Ugi-4CR/post-Ugi transformation strategy:a precise construction of structurally diverse azaspiro polycyclic scaffolds

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Science China Chemistry 2024年第2期67卷 576-586页

作者： Xiao-Bao Wu Jun-Xiu Shi Yi-Ming Ou Hua-Jie Jiang Yi-Jun Fang Qi-Ming Wang Quan Gao Jie Yu department of Applied Chemistry Anhui Province Engineering Laboratory for Green Pesticide Development and ApplicationAnhui Province Key Laboratory of Crop Integrated Pest ManagementAnhui Agricultural UniversityHefei230036China

A privileged strategy has been developed for the precise construction of enantioenriched azaspiro polycyclic *** diverse azaspiro polycycles bearing multiple contiguous stereocenters are obtained with excellent results(up to 99:1 e.r.,>95:5 d.r.) via sequential enantioselective four-component Ugi reactions/post-Ugi transformations with substrates containing prerequisite functional groups in the presence of anionic stereogenic-at-cobalt(Ⅲ) complexes.

关键词： asymmetric catalysis post-Ugi transformation anionic stereogenic-at-cobalt(Ⅲ)complex azaspiro polycyclic scaffold one-pot synthesis

A direct electrochemical biosensor for rapid glucose detection based on nitrogen-doped carbon nanocages

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Rare Metals 2024年第5期43卷 2184-2192页

作者： Lan-Lan Li Yu Zhao Li-Jia Pan Jian-Bin Xu Yi Shi College of Mechanical and Electrical engineering Henan Agricultural UniversityZhengzhou 450002China School of Electronic Science and engineering Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing210093China department of Electronic engineering The Chinese University of HongKongHongkong 999077China

Given the increasing number of diabetic patients,rapid and accurate detection of glucose in body fluids is *** study developed a direct electrochemical biosensor for glucose based on nitrogen-doped carbon nanocages(NCNCs).NCNCs possess a large specific surface area of 1395 m^(2)·g^(-1),a high N atomic content of 9.37%and good biocompatibility,which is favorable for enzyme loading and electron *** surface average concentration of electroactive glucose oxidase on NCNCs was 2.82×10^(-10)mol·cm^(-2).The NCNC-based direct electrochemical biosensor exhibited a high sensitivity of 13.7μA·(mmol·L^(-1))^(-1)·cm^(-2),rapid response time of 5 s and an impressive electron-transferrate constant(ks)of 1.87 s^(-1).Furthermore,we investigated an NCNC-based direct electron transfer(DET)biosensor for sweat glucose detection,which demonstrated tremendous promise for non-invasive wearable diabetes diagnosis.

关键词： Direct electron transfer(DET) Nitrogen-doped carbon nanocages(NCNCs) Glucose oxidase Biosensor

Automated,economical,and environmentally-friendly asphalt mix design based on machine learning and multi-objective grey wolf optimization

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Journal of Traffic and Transportation engineering(English Edition) 2024年第3期11卷 381-405页

作者： Jian Liu Fangyu Liu Linbing Wang department of Civil and Environmental engineering Virginia Polytechnic Institute and State UniversityBlacksburgVA 24061USA School of Environmental CivilAgricultural and Mechanical EngineeringUniversity of GeorgiaAthensGA 30602USA Illinois Center for Transportation Department of Civil and Environmental EngineeringUniversity of Illinois Urbana-ChampaignUrbanaIL 61801USA

The increasing impact of the greenhouse effect on ecosystems is prompting transportation agencies to seek methods for reducing CO_(2)emissions during pavement construction and ***,the laboratory mix design process,which involves selecting aggregate gradation and binder content,is time-consuming and *** accelerate the traditional mix design procedure,this study presented a mix design procedure that can automatically determine gradation and binder content based on machine learning(ML)and a meta-heuristic ***,ML approaches were employed to model the relationship between volumetric properties(mixture bulk specific gravity(Gmb)and air void(VV))and both mixture component properties and mixture proportion,based on a dataset collected from literature with 660 mixture *** with the prediction of ML models and the modified multi-objective grey wolf optimization(MOGWO)algorithm,an automatic asphalt mix design was proposed to pursue three goals,including VV,cost,and CO_(2)*** results indicated that least squares support vector regression(LSSVR)and e Xtreme gradient boosting(XGBoost)achieved the highest prediction accuracies(correlation coefficient:0.92 for VV and 0.96 for Gmb).The MOGWO algorithm successfully found the 26 optimal mix designs for the case of VV *** ***_(2)*** to the traditional laboratory design,the optimal mixture with VV of4%achieves a cost saving of 2.46%and a reduction of 4.03%in carbon *** volumetric properties of the mixtures output by the approach also align closely with values measured in a laboratory.

关键词： Asphalt mix design Machine learning MOGWO CO_(2)emission Volumetric properties

Data-driven Reactive Power Optimization of Distribution Networks via Graph Attention Networks

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 874-885页

作者： Wenlong Liao Dechang Yang Qi Liu Yixiong Jia Chenxi Wang Zhe Yang Wind engineering and Renewable Energy Laboratory Ecole Polytechnique Federale de Lausanne(EPFL)Lausanne 1015Switzerland the College of Information and Electrical engineering China Agricultural UniversityBeijing 100083China the College of Electrical engineering and Automation Shandong University of Science and TechnologyQingdao 266590China the department of Electrical and Electronic engineering(Energy Digitalization Laboratory) The University of Hong KongHong KongChina the department of Electrical engineering The Hong Kong Polytechnic UniversityHong KongChina

Reactive power optimization of distribution networks is traditionally addressed by physical model based methods,which often lead to locally optimal solutions and require heavy online inference time *** improve the quality of the solution and reduce the inference time burden,this paper proposes a new graph attention networks based method to directly map the complex nonlinear relationship between graphs(topology and power loads)and reactive power scheduling schemes of distribution networks,from a data-driven *** graph attention network is tailored specifically to this problem and incorporates several innovative features such as a self-loop in the adjacency matrix,a customized loss function,and the use of max-pooling ***,a rulebased strategy is proposed to adjust infeasible solutions that violate *** results on multiple distribution networks demonstrate that the proposed method outperforms other machine learning based methods in terms of the solution quality and robustness to varying load ***,its online inference time is significantly faster than traditional physical model based methods,particularly for large-scale distribution networks.

关键词： Reactive power optimization graph neural network distribution network machine learning data-driven