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Dietary supplementation of zinc oxide modulates intestinal functionality during the post-weaning period in clinically healthy piglets

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Journal of Animal Science and Biotechnology 2024年第1期15卷 313-328页

作者： Dirkjan Schokker Soumya K.kar Els Willems Alex Bossers Ruud A.Dekker Alfons J.M.Jansman Wageningen Bioveterinary Research LelystadThe Netherlands Wageningen Livestock Research Wageningen University&ResearchWageningenThe Netherlands Royal Agrifirm Group ApeldoornThe Netherlands Institute for Risk Assessment Sciences Utrecht UniversityUtrechtThe Netherlands

Background To improve our understanding of host and intestinal microbiome interaction,this research investigated the effects of a high-level zinc oxide in the diet as model intervention on the intestinal microbiome and small intestinal functionality in clinically healthy post-weaning *** study 1,piglets received either a high concentration of zinc(Zn)as zinc oxide(Zn O,Zn,2,690 mg/kg)or a low Zn concentration(100 mg/kg)in the diet during the post weaning period(d 14–23).The effects on the piglet's small intestinal microbiome and functionality of intestinal tissue were *** study 2,the impact of timing of the dietary zinc intervention was investigated,i.e.,between d 0–14 and/or d 14–23 post weaning,and the consecutive effects on the piglet's intestinal functionality,here referring to microbiota composition and diversity and gene expression *** Differences in the small intestinal functionality were observed during the post weaning period between piglets receiving a diet with a low or high concentration Zn O content.A shift in the microbiota composition in the small intestine was observed that could be characterized as a non-pathological change,where mainly the commensals *** the immediate post weaning period,i.e.,d 0–14,the highest number of differentially expressed genes(DEGs)in intestinal tissue were observed between animals receiving a diet with a low or high concentration Zn O content,i.e.,23 DEGs in jejunal tissue and 11 DEGs in ileal *** genes are involved in biological processes related to immunity and inflammatory *** example,genes CD59 and REG3G were downregulated in the animals receiving a diet with a high concentration Zn O content compared to low Zn O content in both jejunum and ileum *** the second study,a similar result was obtained regarding the expression of genes in intestinal tissue related to immune pathways when comparing piglets receiving a diet with a high concentration Zn O con

关键词： Immune system Intestinal functionality Microbiota Piglets Zinc oxide

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A review of image processing and quantification analysis for solid oxide fuel cell

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Energy and AI 2024年第2期16卷 464-482页

作者： kar Shen tan Chee Kiang Lam Wee Choon tan Heap Sheng Ooi Zi Hao Lim Faculty of Electrical Engineering&Technology Universiti Malaysia PerlisPauh Putra CampusPauh02600PerlisMalaysia Faculty of Mechanical Engineering&Technology Universiti Malaysia PerlisPauh Putra CampusPauh02600PerlisMalaysia Faculty of Information Science&Technology Universiti Kebangsaan MalaysiaBangi43600SelangorMalaysia

The purpose of this study is to investigate the approaches applied to analyze solid oxide fuel cell (SOFC) microstructural properties. Both manual and automated image processing approaches applied on SOFC microstructural images which are obtained from several types of tomography such as dual-beam focused ion beam with scanning electron microscopy (FIB-SEM), Electron Backscatter Diffraction (EBSD) and others are discussed. In fact, to achieve a realistic and accurate SOFC microstructural properties, such as average diameter, volume fraction, triple phase boundary (TPB), area interface density and tortuosity factor, the approaches of image processing and quantification are crucial for a reliable image generation for quantification purposes. The microstructural properties are optimized to improve SOFC electrode performance. Therefore, the image processing and quantification approaches are outlined and reviewed. Despite the automated image processing and quantification algorithms significantly outperform manual image processing and quantification approaches in terms of computing speed when evaluating and measuring microstructural properties, the efficiency and productivity are still extremely taken into concern. As a result, image processing and quantification approaches are concluded and presented respectively in this paper.

关键词： Digital image processing Deep learning Triple phase boundary Solid oxide fuel cell Microstructure

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Effects of early postnatal gastric and colonic microbiota transplantation on piglet gut health

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Journal of Animal Science and Biotechnology 2024年第2期15卷 645-658页

作者： Christina Larsen Simone Margaard Offersen Anders Brunse Mattia Pirolo Soumya Kanti kar Luca Guadabassi Thomas Thymann Department of Veterinary and Animal Science University of CopenhagenDyrlagevej 681870 Frederiksberg CDenmark Animal Nutrition Wageningen Livestock ResearchWageningen University&Research1 De Elst6708 WageningenThe Netherlands

Background Diarrhea is a major cause of reduced growth and mortality in piglets during the suckling and weaning periods and poses a major threat to the global pig *** and gut dysbiosis may in part be prevented via improved early postnatal microbial colonization of the *** secure better postnatal gut colonization,we hypothesized that transplantation of colonic or gastric content from healthy donors to newborn recipients would prevent diarrhea in the recipients in the post-weaning *** objective was to examine the impact of transplanting colonic or gastric content on health and growth parameters and paraclinical parameters in recipient single-housed piglets exposed to a weaning transition and challenged with enterotoxigenic Escherichia coli(ETEC).Methods Seventy-two 1-day-old piglets were randomized to four groups:colonic microbiota transplantation(CMT,n=18),colonic content filtrate transplantation(CcFT,n=18),gastric microbiota transplantation(GMT,n=18),or saline(CON,n=18).Inoculations were given on d 2 and 3 of life,and all piglets were milk-fed until weaning(d 20)and shortly after challenged with ETEC(d 24).We assessed growth,diarrhea prevalence,ETEC concentration,organ weight,blood parameters,small intestinal morphology and histology,gut mucosal function,and microbiota composition and *** Episodes of diarrhea were seen in all groups during both the milk-and the solid-feeding phase,possibly due to stress associated with single ***,CcFT showed lower diarrhea prevalence on d 27,28,and 29 compared to CON(all Pta diversity compared to CON(P<0.05).Growth and other paraclinical endpoints were similar across *** In conclusion,only CcFT reduced ETEC-related post-weaning ***,the protective effect was marginal,suggesting that higher doses,more effective modalities of administration

关键词： Colonic content filtrate transplantation Colonic microbiota transplantation Gastric microbiota transplantation Gut microbiota Mucosa Neonatal Post-weaning diarrhea

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Feasibility and safety of minimally invasive multivisceral resection for T4b rectal cancer:A 9-year review

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World Journal of Gastrointestinal Surgery 2024年第3期16卷 777-789页

作者： Kai Siang Chan Biquan Liu Ming Ngan Aloysius tan Kwang Yeong How kar Yong Wong Department of General Surgery Tan Tock Seng HospitalSingapore 308433Singapore

BACKGROUND Colorectal cancer is the third most common cancer and the second highest cause of cancer-related mortality *** 5%-10%of patients are diagnosed with locally advanced rectal cancer(LARC)on *** LARC invading into other structures(i.e.T4b),multivisceral resection(MVR)and/or pelvic ex-enteration(PE)remains the only potential curative surgical *** and/or PE is a major and complex surgery with high post-operative *** invasive surgery(MIS)has been shown to improve short-term post-operative outcomes in other gastrointestinal malignancies,but there is little evi-dence on its use in MVR,especially so for robotic *** is a single-center retrospective cohort study from 1st January 2015 to 31st March *** criteria were patients diagnosed with cT4b rectal cancer and underwent MVR,or stage 4 disease with resectable systemic ***-tients who underwent curative MVR for locally recurrent rectal cancer,or me-tachronous rectal cancer were also *** criteria were patients with systemic metastases with non-resectable *** patients planned for elective surgery were enrolled into the standard enhanced recovery after surgery pathway with standard peri-operative management for colorectal *** sur-gery was defined based on technical difficulty of surgery(*** PE,bladder-sparing prostatectomy,pelvic lymph node dissection or need for flap creation).Our primary outcomes were the margin status,and complication ***-gorical values were described as percentages and analysed by the chi-square *** variables were expressed as median(range)and analysed by Mann-Whitney U *** overall survival(OS)and recurrence-free survival(RFS)were analysed using Kaplan-Meier estimates with life table ***-rank test was performed to determine statistical significance between cumulative *** significance was defined as P<*** estimates with li

关键词： Laparoscopy Minimally invasive surgical procedures Multivisceral resection Pelvic Exenteration Rectal neoplasms Robotic surgical procedures

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Development and validation of multicentre study on novel Artificial Intelligence-based Cardiovascular Risk Score(AICVD)

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Family Medicine and Community Health 2024年第S1期12卷 20-33页

作者： Shiv Kumar Jalepalli Prashant Gupta Andre L A J Dekker Inigo Bermejo Sujoy kar Apollo Hospitals HyderabadTelanganaIndia Azure Microsoft Research IndiaBengaluruIndia Department of Radiation Oncology(Maastro) Maastricht UniversityMaastrichtNetherlands

Objective Cardiovascular diseases(CVD)are one of the most prevalent diseases in India amounting for nearly 30%of total deaths.A dearth of research on CVD risk scores in Indian population,limited performance of conventional risk scores and inability to reproduce the initial accuracies in randomised clinical trials has led to this study on large-scale patient *** objective is to develop an Artificial Intelligence-based Risk Score(AICVD)to predict CVD event(eg,acute myocardial infarction/acute coronary syndrome)in the next 10 years and compare the model with the Framingham Heart Risk Score(FHRS)and *** Our study included 31599 participants aged 18–91 years from 2009 to 2018 in six Apollo Hospitals in India.A multistep risk factors selection process using Spearman correlation coefficient and propensity score matching yielded 21 risk factors.A deep learning hazards model was built on risk factors to predict event occurrence(classification)and time to event(hazards model)using multilayered neural ***,the model was validated with independent retrospective cohorts of participants from India and the Netherlands and compared with FHRS and *** The deep learning hazards model had a good performance(area under the curve(AUC)0.853).Validation and comparative results showed AUCs between 0.84 and 0.92 with better positive likelihood ratio(AICVD−6.16 to FHRS−2.24 and QRisk3−1.16)and accuracy(AICVD−80.15%to FHRS 59.71%and QRisk351.57%).In the Netherlands cohort,AICVD also outperformed the Framingham Heart Risk Model(AUC−0.737 vs 0.707).Conclusions This study concludes that the novel AI-based CVD Risk Score has a higher predictive performance for cardiac events than conventional risk scores in Indian population.

关键词： AICVD Cardiovascular acute

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Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest Fire Detection

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International Journal of Communications, Network and System Sciences 2024年第2期17卷 11-29页

作者： Ankan kar Nirjhar Nath Utpalraj Kemprai Aman Department of Computer Science Chennai Mathematical Institute Chennai India Department of Mathematics & Computer Science Chennai Mathematical Institute Chennai India Department of Data Science Chennai Mathematical Institute Chennai India

This article delves into the analysis of performance and utilization of Support Vector Machines (SVMs) for the critical task of forest fire detection using image datasets. With the increasing threat of forest fires to ecosystems and human settlements, the need for rapid and accurate detection systems is of utmost importance. SVMs, renowned for their strong classification capabilities, exhibit proficiency in recognizing patterns associated with fire within images. By training on labeled data, SVMs acquire the ability to identify distinctive attributes associated with fire, such as flames, smoke, or alterations in the visual characteristics of the forest area. The document thoroughly examines the use of SVMs, covering crucial elements like data preprocessing, feature extraction, and model training. It rigorously evaluates parameters such as accuracy, efficiency, and practical applicability. The knowledge gained from this study aids in the development of efficient forest fire detection systems, enabling prompt responses and improving disaster management. Moreover, the correlation between SVM accuracy and the difficulties presented by high-dimensional datasets is carefully investigated, demonstrated through a revealing case study. The relationship between accuracy scores and the different resolutions used for resizing the training datasets has also been discussed in this article. These comprehensive studies result in a definitive overview of the difficulties faced and the potential sectors requiring further improvement and focus.

关键词： Support Vector Machine Challenging Datasets Forest Fire Detection Classification

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Inhibiting the phase transition of WO_(3)for highly stable aqueous electrochromic battery

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Journal of Energy Chemistry 2024年第8期95卷 86-95,I0003页

作者： Zhisheng Wu Zhendong Lian Ting Ding Jielei Li Jincheng Xu Jinxiao Wang Liangxing Zhang Bo Wang Shi Chen Peng Xiao Hua Xu Shuang-Peng Wang kar Wei Ng Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials EngineeringUniversity of MacaoAvenida da UniversidadeMacao 999078China School of Applied Physics and Materials Wuyi UniversityJiangmen 529020GuangdongChina Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology School of Physics and Optoelectronic EngineeringFoshan UniversityFoshan 528225GuangdongChina Guangzhou New Vision Optoelectronic Technology Co. Ltd.Guangzhou 510530GuangdongChina

Aqueous electrochromic battery(ECB)has shown intense potential for achieving energy storage and saving *** tungsten oxide(WO_(3))is the most promising EC material for commercialization,the cycling stability of WO_(3)-based aqueous ECBs is currently unsatisfactory due to the repeated phase transition during the redox process and the corrosion by acidic ***,we present a titanium-tungsten oxide alloy(Ti-WO_(3))with controllable morphology and crystal phase synthesized by a facile hot injection method to overcome the *** contrast to conventional monoclinic WO_(3),the Ti-WO_(3)nanorods can stably maintain their cubic crystal phase during the redox reaction in an acidic electrolyte,thus leading to dramatically enhanced response speed and cycling stability,Specifically,when working in a well-matched hybrid Al^(3+)/Zn^(2+)aqueous electrolyte,our phasetransition-free cubic Ti-WO_(3)exhibits an ultra-high cycling stability(>20000 cycles),fast response speed(3,95 s/4,65 s for bleaching/coloring),as well as excellent discharge areal capacity of 214.5 mA h m^(-2),We further fabricate a fully complementa ry aqueous electrochromic device,for the first time,using a Ti-WO_(3)/Prussian blue device ***,the complementary ECB shows>10000 stable operation cycles,attesting to the feasibility of our Ti-WO_(3)for practical *** work validates the significance of inhibiting the phase transitions of WO_(3)during the electrochromic process for realizing highly cyclable aqueous ECB,which can possibly provide a generalized design guidance for other high-quality metallic oxides for electrochemical applications.

关键词： Aqueous electrochromic battery Ti-WO_(3) Phase transition Long-term stability

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An Enhanced Hybrid Model Based on CNN and BiLSTM for Identifying Individuals via Handwriting Analysis

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1689-1710页

作者： Md.Abdur Rahim Fahmid Al Farid Abu Saleh Musa Miah Arpa kar Puza Md.Nur Alam Md.Najmul Hossain Sarina Mansor Hezerul Abdul karim Department of Computer Science and Engineering Pabna University of Science and TechnologyPabna6600Bangladesh Faculty of Engineering Multimedia UniversityCyberjaya63100Malaysia Department of Computer Science and Engineering Bangladesh Army University of Science and TechnologySaidpur5311Bangladesh Department of Mathematics Pabna University of Science and TechnologyPabna6600Bangladesh Department of Electrical Electronic and Communication EngineeringPabnaUniversity of Science and TechnologyPabna6600Bangladesh Department of Electrical and Communication Engineering Pabna University of Science and TechnologyPabna6600Bangladesh

Handwriting is a unique and significant human feature that distinguishes them from one *** are many researchers have endeavored to develop writing recognition systems utilizing specific signatures or symbols for person identification through ***,such systems are susceptible to forgery,posing security *** response to these challenges,we propose an innovative hybrid technique for individual identification based on independent handwriting,eliminating the reliance on specific signatures or *** response to these challenges,we propose an innovative hybrid technique for individual identification based on independent handwriting,eliminating the reliance on specific signatures or *** innovative method is intricately designed,encompassing five distinct phases:data collection,preprocessing,feature extraction,significant feature selection,and *** key advancement lies in the creation of a novel dataset specifically tailored for Bengali handwriting(BHW),setting the foundation for our comprehensive ***-preprocessing,we embarked on an exhaustive feature extraction process,encompassing integration with kinematic,statistical,spatial,and composite *** meticulous amalgamation resulted in a robust set of 91 *** enhance the efficiency of our system,we employed an analysis of variance(ANOVA)F test and mutual information scores approach,meticulously selecting the most pertinent *** the identification phase,we harnessed the power of cutting-edge deep learning models,notably the Convolutional Neural Network(CNN)and Bidirectional Long Short-Term Memory(BiLSTM).These models underwent rigorous training and testing to accurately discern individuals based on their handwriting ***,our methodology introduces a groundbreaking hybrid model that synergizes CNN and BiLSTM,capitalizing on fine motor features for enhanced individual ***,our experimental results unde

关键词： Bengali handwriting(BHW) person identification convolutional neural network(CNN) BiLSTM

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Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases

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Signal Transduction and targeted Therapy 2024年第3期9卷 945-997页

作者： Jian Sheng Loh Wen Qi Mak Li kar Stella tan Chu Xin Ng Hong Hao Chan Shiau Hueh Yeow Jhi Biau Foo Yong Sze Ong Chee Wun How Kooi Yeong Khaw School of Pharmacy Monash University MalaysiaJalan Lagoon Selatan47500 Bandar SunwaySelangorMalaysia School of Pharmacy Faculty of Health&Medical SciencesTaylor’s University1Jalan TaylorsSubang Jaya 47500 SelangorMalaysia Digital Health&Medical Advancements Taylor’s University1Jalan TaylorsSubang Jaya 47500 SelangorMalaysia School of Biosciences Faculty of Health&Medical SciencesTaylor’s University1Jalan TaylorsSubang Jaya 47500 SelangorMalaysia UCL School of Pharmacy University College London29-39 Brunswick SquareLondon WC1N 1AXUK

The human gastrointestinal tract is populated with a diverse microbial *** vast genetic and metabolic potential of the gut microbiome underpins its ubiquity in nearly every aspect of human biology,including health maintenance,development,aging,and *** advent of new sequencing technologies and culture-independent methods has allowed researchers to move beyond correlative studies toward mechanistic explorations to shed light on microbiome–host *** has unveiled the bidirectional communication between the gut microbiome and the central nervous system,referred to as the“microbiota–gut–brain axis”.The microbiota–gut–brain axis represents an important regulator of glial functions,making it an actionable target to ameliorate the development and progression of neurodegenerative *** this review,we discuss the mechanisms of the microbiota–gut–brain axis in neurodegenerative *** the gut microbiome provides essential cues to microglia,astrocytes,and oligodendrocytes,we examine the communications between gut microbiota and these glial cells during healthy states and neurodegenerative ***,we discuss the mechanisms of the microbiota–gut–brain axis in neurodegenerative diseases using a metabolite-centric approach,while also examining the role of gut microbiota-related neurotransmitters and gut ***,we examine the potential of targeting the intestinal barrier,blood–brain barrier,meninges,and peripheral immune system to counteract glial dysfunction in ***,we conclude by assessing the pre-clinical and clinical evidence of probiotics,prebiotics,and fecal microbiota transplantation in neurodegenerative diseases.A thorough comprehension of the microbiota–gut–brain axis will foster the development of effective therapeutic interventions for the management of neurodegenerative diseases.

关键词： degenerative therapeutic diseases

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Individual consistency in spatiotemporal characteristics of migratory Whimbrels in the East Asian-Australasian Flyway

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Avian Research 2024年第3期15卷 308-315页

作者： Siwei An Fenliang Kuang Wei Wu Chris J.Hassell Jonathan T.Coleman Zijing Gao Xuena Sun Yue Yuan Grace Maglio kar-Sin K.Leung Xuesong Feng Zhijun Ma Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering Coastal Ecosystems Research Station of the Yangtze River EstuaryInstitute of Biodiversity ScienceSchool of Life SciencesFudan UniversityShanghai200433China School of Chemistry and Environment Yunnan Minzu UniversityKunming650504China Shanghai Chongming Dongtan Nature Reserve Administration Center ChongmingShanghai202183China Global Flyway Network PO Box 3089BroomeWA 6725Australia Australasian Wader Studies Group BroomeWA6725Australia Queensland Wader Study Group Shailer ParkQLD4128Australia Hong Kong Waterbirds Ringing Group Hong Kong999077China

Many migratory birds exhibit interannual consistency in migration schedules,routes and stopover *** the interannual consistency in spatiotemporal characteristics helps understand the maintenance of migration and enables the implementation of targeted conservation *** tracked the migration of Whimbrel(Numenius phaeopus)in the East Asian-Australasian Flyway and collected spatiotemporal data from individuals that were tracked for at least two *** non-parametric tests were used to compare the interannual variations in the dates of departure from and arrival at breeding/nonbreeding sites,and the inter-annual variation in the longitudes when the same individual across the same *** exhibited a high degree of consistency in the use of breeding,nonbreeding,and stopover sites between *** variation of arrival dates at nonbreeding sites was significantly larger than that of the departure dates from nonbreeding and breeding *** used stopover sites by the same individuals in multiple years were concentrated in the Yellow Sea coast during northward migration,but were more widespread during southward *** stopover duration at repeatedly used sites was significantly longer than that at sites used only *** flying across the Yellow Sea,Whimbrels breeding in Sakha(Yakutia)exhibited the highest consistency in migration routes in both autumn and ***,the consistency in migration routes of Yakutia breeding birds was generally higher than that of birds breeding in *** results suggest that the northward migration schedule of the Whimbrels is mainly controlled by endogenous factors,while the southward migration schedule is less affected by endogenous *** repeated use of stopover sites in the Yellow Sea coast suggests this region is important for the migration of Whimbrel,and thus has high conservation value.

关键词： Consistency Migration route Migration timing Shorebird

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