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Artificial intelligence application in diagnostic gastrointestinal endoscopy-Deus ex machina?

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World Journal of Gastroenterology 2021年第32期27卷 5351-5361页

作者： fábio pereira correia Luís Carvalho Lourenço Department of Gastroenterology Hospital Prof.Dr Fernando FonsecaLisbon 2720-276Portugal

The close relationship of medicine with technology and the particular interest in this symbiosis in recent years has led to the development of several computed artificial intelligence(AI)systems aimed at various areas of medicine.A number of studies have demonstrated that those systems allow accurate diagnoses with histological precision,thus facilitating decision-making by clinicians in real *** the field of gastroenterology,AI has been applied in the diagnosis of pathologies of the entire digestive tract and their attached glands,and are increasingly accepted for the detection of colorectal polyps and confirming their histological *** have shown high accuracy,sensitivity,and specificity in relation to expert endoscopists,and mainly in relation to those with less *** applications that are increasingly studied and with very promising results are the investigation of dysplasia in patients with Barrett's esophagus and the endoscopic and histological assessment of colon inflammation in patients with ulcerative *** some cases AI is thus better than or at least equal to human ***,additional studies are needed to reinforce the existing data,and mainly to determine the applicability of this technology in other *** review summarizes the state of the art of AI in gastroenterological pathology.

关键词： Artificial intelligence Computer-aided diagnosis Deep learning gastrointestinal endoscopy Colorectal polyps Dysplasia

Carbon Monoxide as C1 Building Block in fine Chemical Synthesis

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Chinese Journal of Chemistry 2024年第2期42卷 199-221页

作者： Rui M.B.Carrilho Mario J.f.Calvete Gabor Mikle Laszlo Kollar Mariette M.pereira University of Coimbra Coimbra Chemistry CentreDepartment of ChemistryRua Larga3004-535 CoimbraPortugal Department of General and Inorganic Chemistry and ELKH-PTE Research Groupfor Selective Chemical Syntheses University of PecsIfjusag utja 6H-7624 PecsHungary

Carbon monoxide(CO)has become one of the most relevant and versatile renewable C1 building blocks for chemical synthesis,especially in the fine chemicals industry,due to the development of efficient and selective catalysts for its *** this review,we present a comprehensive critical analysis of the last 10 years literature on the use of CO as a renewable feedstock for fine chemicals *** review is organized by type of catalytic reaction,namely alkene and alkyne carbonylation,hydroformylation,carbonylation of aryl halides,carbonylative cross-coupling and C-H *** examples of the synthesis of relevant building blocks and/or known pharmaceuticals are *** is placed on examples of utilizing CO as the C1 building block in one or more catalytic *** catalyst used and the reaction conditions are consistently presented throughout all of the examples.

关键词： Carbon monoxide fine chemicals Carbonylation Hydroformylation C-H functionalization

Influence of preterm birth on the association between gestational diabetes mellitus and childhood developmental vulnerability:a causal mediation analysis

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World Journal of Pediatrics 2024年第1期20卷 54-63页

作者： Bereket Duko Amanuel Tesfay Gebremedhin Gizachew Assefa Tessema Gavin pereira Australian Centre for Precision Health UniSA Clinical and Health SciencesUniversity of South AustraliaNorth TerraceAdelaideSA5000Australia Curtin School of Population Health Faculty of Health SciencesCurtin UniversityKent StreetBentleyWA 6102Australia enAble Institute Curtin UniversityKent StreetBentleyWA6102Australia Centre for fertility and Health(CefH) Norwegian Institute of Public HealthOsloNorway

Background Epidemiological studies examining the direct and indirect effects of gestational diabetes mellitus(GDM)on offspring early childhood developmental vulnerability are ***,the aims of this study were to estimate the direct and indirect effects of GDM(through preterm birth)on early childhood developmental *** We conducted a retrospective population-based cohort study on the association between gestational diabetes mellitus and early childhood developmental vulnerability in children born in Western Australia(WA)using maternal,infant and birth records from the Midwives Notification,Hospitalizations,Developmental Anomalies,and the Australian Early Development Census(AEDC)*** used two aggregated outcome measures:developmentally vulnerable on at least one AEDC domain(DV1)and developmentally vulnerable on at least two AEDC domains(DV2).Causal mediation analysis was applied to estimate the natural direct(NDE),indirect(NIE),and total(TE)effects as relative risks(RR).Results In the whole cohort(n=64,356),approximately 22%were classified as DV1 and 11%as DV2 on AEDC *** of the natural direct effect suggested that children exposed to GDM were more likely to be classified as DV1(RR=1.20,95%CI:1.10-1.31)and DV2(RR=1.34,95%CI:1.19-1.50)after adjusting for potential *** 6%and 4%of the effect of GDM on early childhood developmental vulnerability was mediated by preterm birth for DV1 and DV2,*** Children exposed to gestational diabetes mellitus were more likely to be developmentally vulnerable in one or more AEDC *** biological mechanism for these associations is not well explained by mediation through preterm birth.

关键词： Child development Causal mediation analysis Gestational diabetes mellitus Offspring

Litter production and leaf nutrient concentration and remobilization in response to climate seasonality in the central Amazon

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Journal of forestry Research 2024年第3期35卷 131-141页

作者： Ricardo Antonio Marenco Saul Alfredo Antezana-Vera Daniela pereira Dias Luiz Antonio Candido Instituto Nacional de Pesquisas da Amazonia Coordenagao de Uso da Terra e Mudanca ClimaticaAv.Andre Araujo 2936ManausAM69067-375Brazil Programa de pos-Graduagao em Agricultura no Tropico Umido Instituto Nacional de Pesquisas da Amazonia-INPAManausAMBrazil Unidade Academica de Ciencias Agrarias Universidade Federal de JataiBR 364km 195JataiGO 75801-615Brazil

Litterfall is the largest source of nutrients to for-est soils of tropical ***,variability in lit-terfall production,nutrient remobilization,and changes in leaf nutrient concentration with climate seasonality remain largely unknown for the central *** study meas-ured litterfall production,leaf nutrient remobilization,and leaf area index on a forest plateau in the central *** was measured at monthly intervals during 2014,while nitrogen,phosphorus,potassium,calcium and mag-nesium concentrations of leaf litter and canopy leaves were measured in the dry and rainy seasons,and remobilization rates *** area index was also recorded in the dry and rainy *** litterfall varied from 33.2(in the rainy season)to 87.6 g m^(-2) in the dry season,while leaf area index increased slightly in the rainy *** seasonality had no effect on concentrations of nitrogen,calcium,and magnesium,whereas phosphorous and potassium responded to rainfall seasonality *** phosphorous increased,potassium decreased during the dry *** seasons,nitrogen,potassium,and phosphorous decreased in leaf litter;calcium increased in leaf litter,while magnesium remained unaffected with leaf ***,the five nutrients had similar remobilization rates over the *** absence of climate seasonality on nutrient remobilization suggests that the current length of the dry season does not alter nutrient remobilization rates but this may change as dry periods become more prolonged in the future due to climate change.

关键词： Throughfall Nutrient cycling Climatic seasonality Leaf mass per area

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Performance of evolutionary optimized machine learning for modeling total organic carbon in core samples of shale gas fields

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Petroleum 2024年第1期10卷 150-164页

作者： Leonardo Goliatt C.M.Saporetti L.C.Oliveira E.pereira Department of Computational and Applied Mechanics Federal University of Juiz de Fora Department of Computational Modeling Polytechnic Institute Rio de Janeiro State University Petrobras Department of Stratigraphy and Paleontology Rio de Janeiro State University

Rock samples' TOC content is the best indicator of the organic matter in source rocks. The origin rock samples' analysis is used to calculate it manually by specialists. This method requires time and resources because it relies on samples from many well intervals in source rocks. Therefore, research has been done to aid this effort. Machine learning algorithms can estimate total organic carbon instead of well logs and stratigraphic studies. In light of these efforts, the current work present a study on automating the total organic carbon estimation using machine learning approaches improved by an evolutionary methodology to give the model flexibility and precision. Genetic algorithms, differential evolution, particle swarm optimization, grey wolf optimization, artificial bee colony, and evolution strategies were used to improve machine learning models to predict TOC. The six metaheuristics were integrated into four machine learning methods: extreme learning machine, elastic net linear model, linear support vector regression, and multivariate adaptive regression splines. Core samples from the YuDong-Nan shale gas field, located in the Sichuan basin, were used to evaluate the hybrid strategy. The findings show that combining machine learning models with an evolutionary algorithms in a hybrid fashion produce flexible models that accurately predict TOC. The results show that, independent of the metaheuristic used to guide the model selection, optimized extreme learning machines attained the best performance scores according to six metrics. Such hybrid models can be used in exploratory geological research,particularly for unconventional oil and gas resources.

关键词： Total organic carbon Hybrid models Automated machine learning Evolutionary algorithms Geology

Small-scale self-driving cars:A systematic literature review

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Journal of Traffic and Transportation Engineering(English Edition) 2024年第2期11卷 271-292页

作者： felipe Caleffi Lauren da Silva Rodrigues Joice da Silva Stamboroski Brenda Medeiros pereira Autonomous Vehicles Laboratory Federal University of Santa MariaCachoeira do Sul 96503-205Brazil Mobility and Logistics Laboratory Federal University of Santa MariaCachoeira do Sul 96503-205Brazil

The autonomous vehicle(AV)technology has the potential to significantly improve safety and efficiency of the transportation and logistics ***-scale AV testing is limited by time,space,and cost,while simulation-based testing often lacks the necessary accuracy of AV and environmental *** recent years,several initiatives have emerged to test autonomous software and hardware on scaled *** systematic literature review provides an overview of the literature surrounding small-scale self-driving cars,summarizing the current autonomous platforms deployed and focusing on the software and hardware developments in this *** studies published in English-language journals or conference papers that present small-scale testing of self-driving cars were *** of Science,Scopus,Springer Link,Wiley,ACM Digital Library,and TRID databases were used for the literature *** systematic literature search found 38 eligible *** gaps in the reviewed papers were identified to provide guidance for future *** key takeaway emerging from this manuscript are:(i)there is a need to improve the models and neural network architectures used in autonomous driving systems,as most papers present only preliminary results;(ii)increasing datasets and sharing databases can help in developing more reliable control policies and reducing bias and variance in the training process;(iii)small-scaled vehicles to ensure safety is a major benefit,and incorporating data about unsafe driving behaviors and infrastructure problems can improve the accuracy of predictive models.

关键词： Self-driving car Autonomous vehicle Small-scale vehicle Systematic literature review

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Organizational ambidexterity, open innovation and innovation outputs: How do followers and low-flyer EU countries innovate?

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International Journal of Innovation Studies 2024年第2期8卷 186-235页

作者： Joao Leitao Sonia de Brito Dina pereira faculty of Social and Human Sciences NECE-Research Unit in Business SciencesUniversity of Beira Interior6200-001CovilhaPortugal Research Unit in Business Sciences(NECE) University of Beira InteriorCovilhaPortugal Centre for Management Studies of Instituto Superior Tecnico(CEG-IST) University of Lisbon1649-004LisboaPortugal Instituto de Ciencias Sociais ICsUniversity of Lisbon1649-004LisboaPortugal

This study analyses the role played by organizational ambidexterity and open innovation in innovation outputs,considering business units with different levels of technological intensity(medium-high and high tech,and medium-low and low tech)for countries with different inno-vation *** countries considered in this paper are i)Estonia and Slovenia as innovation followers;i)Slovakia,Hungary,Spain,Czech Republic,Italy,Portugal,Norway,and Croatia as moderate innovators;and ii)Bulgaria,Lithuania and Romania as modest *** the empirical approach,the research hypotheses arise from the literature review and are tested using secondary data collected from the Community Innovation Survey(CIS)*** conceptual model is tested using the logistic regression method,which indicates suitable accuracy and reliability for empirical testing *** evidence reveals that for innovation followers,ambidexterity has a greater influence on the practice of eco-innovation,marketing innovation,and product *** moderate innovators,ambidexterity has a greater influence on the practice of product innovation,process innovation,and *** modest in-novators,ambidexterity has a greater influence on the practice of product innovation,process innovation,and *** regard to open innovation,for innovation followers,this has a negative influence on product innovation in medium-high and high-tech *** moderate innovators,open innovation has a greater influence in process,organizational,and *** the case of modest innovators,open innovation is more significant for innovation outputs in product,organizational,and marketing *** is not always positively related to innovation outputs.

关键词： Organizational ambidexterity CIS Cooperation Open innovation Public innovation policies

Temporal and spatial differences in human activities performed in Urban Green Spaces of Vilnius(Lithuania)

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Geography and Sustainability 2024年第2期5卷 302-317页

作者： Luís Valença Pinto Carla Sofia Santos ferreira Paulo pereira Research Centre for Natural Resources Environment and Society(CERNAS) Polytechnic Institute of CoimbraBencanta3045-601 CoimbraPortugal Environmental Management Laboratory Mykolas Romeris UniversityVilniusLithuania Polytechnic Institute of Coimbra Applied Research InstituteRua da MisericórdiaLagar dos Cortiços-S.Martinho do Bispo3045-093 CoimbraPortugal

Urban green spaces(UGS)are relevant to city well-being,as recognized by the United Nations’Sustainable Development Goals(SDGs).However,few studies have studied the temporal use of *** work assessed the seasonal,weekly,and daily use of three urban green spaces(Vingis Park,Bernardino Garden,and Jomantas Park)in Vilnius(Lithuania).The study is based on an on-site observation-based survey,which recorded users’characteristics,activities,and weather conditions during summer and *** results showed that UGS’s seasonal,weekly,and daily use differed according to park and users’*** with a higher diversity of facilities had a high seasonal difference in the number of observed *** numbers were higher in the summer for activities with children,social activities,sports,and water activities than in the *** Park had the lowest variability in user *** variables were linked to changes in users’*** precipitation and lower temperature were associated with reducing the number of users and the diversity of registered *** of the stationary activities were observed during *** diversity of the observed activities was associated with the available facilities rather than the park *** distribution of stationary activities was spatially correlated with facility/equipment(benches,playgrounds,sports,and fitness equipment)and proximity to water *** results of this study are relevant for UGS design,planning,and management.

关键词： Urban parks Seasonal differences Temporal use Time of day Spatial distribution of UGS users

Artemisia vulgaris Induces Tumor-Selective ferroptosis and Necroptosis via Lysosomal Ca^(2+) Signaling

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Chinese Journal of Integrative Medicine 2024年第6期30卷 525-533页

作者： Lucas dos Santos Zamarioli Michele Rosana Maia Santos Adolfo Garcia Erustes Vanessa Marques Meccatti Thais Cristine pereira Soraya S Smaili Maria Cristina Marcucci Carlos Rocha Oliveira Gustavo JS pereira Claudia Bincoletto Department of Pharmacology Paulista School of MedicineFederal University of São PauloSão PauloSP04044-020Brazil Research Group on Phytocomplexes and Cell Signaling School of Health SciencesAnhembi Morumbi UniversitySão PauloSP03164-000Brazil Department of biosciences and Oral Diagnosis Institute of Science and TechnologySão Paulo State University(ICT-UNESP)São PauloSP12231-280Brazil

Objective To evaluate the chemical composition and effects of Artemisia vulgaris(AV)hydroalcoholic extract(HEAV)on breast cancer cells(MCf-7 and SKBR-3),chronic myeloid leukemia(K562)and NIH/3T3 *** Phytochemical analysis of HEAV was done by high-performance liquid chromatography-mass(HPLC)*** and cell death studies were performed using trypan blue and Annexin/fITC-7AAD,***-1(fer-1)and necrostatin-1(Nec-1)were used to assess the mode of HEAV-induced cell death and acetoxymethylester(BAPTA-AM)was used to verify the involvement of cytosolic calcium in this *** calcium measurements were made using *** HEAV decreased the viability of MCf-7,SKBR-3 and K562 cells(Pf HEAV-treated K562 cells was reduced compared to HEAV-exposed fibroblasts(Pf K562 cells with HEAV induced cell death primarily by late apoptosis and necrosis in assays using annexin V-fITC/7-AAD(Pf Nec-1 and fer-1 increased the viability of K562 cells treated with HEAV relative to cells exposed to HEAV alone(Pfrom lysosomes in K562 cells(Pfurthermore,BAPTA-AM,an intracellular Ca^(2+)chelator,decreased the number of non-viable cells treated with HEAV(Pf cell death,which are partially dependent on lysosomal release of Ca^(2+).These effects may be related to artemisinin and caffeoylquinic acids,the main compounds identified in HEAV.

关键词： Artemisia vulgaris necroptosis ferroptosis late apoptosis Ca^(2+)signaling

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