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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

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

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

metabolic disease and the liver: A review

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World Journal of Hepatology 2024年第1期16卷 33-40页

作者： márcia Vargas Sheila de Castro Cardoso Toniasso Patricia G riedel Camila pereira Baldin Francielle Lopes dos reis robson martins pereira maria Carlota Borba Brum Dvora Joveleviths mario reis Alvares-da-Silva Program of Graduate Science in Gastroenterology and Hepatology Federal University of Rio Grande do SulPorto Alegre 90040-060Rio Grande do SulBrazil School of medicine Federal University of Rio Grande do SulPorto Alegre 90040-060Brazil Program of Graduate Science in Gastroenterology and Hepatology Clinicas Hospital of Porto AlegrePorto Alegre 90410000Brazil medicine Faculty Federal University of rio Grande do Sul Federal University of Rio Grande do SulPorto Alegre 90040-060Brazil Division of Gastroenterology and Hepatology Clinicas Hospital of Porto AlegrePorto Alegre 90035007Brazil

metabolic dysfunction-associated steatotic liver disease(mASLD)is the most common liver disease worldwide,with an estimated prevalence of 31%in Latin *** presence of metabolic comorbidities coexisting with liver disease varies substantially among *** is acknowledged that obesity is boosting the type 2 diabetes mellitus“epidemic,”and both conditions are significant contributors to the increasing number of patients with *** steatohepatitis represents a condition of chronic liver inflammation and is considered the most severe form of *** diagnosis is based on the presence of steatosis,noninvasive scores and altered liver *** scores of liver fibrosis,such as serum biomarkers,which should be used in primary care to rule out advanced fibrosis,are simple,inexpensive,and widely ***,guidelines from international hepatology societies recommend using noninvasive strategies to simplify case finding and management of high-risk patients with mASLD in clinical ***,there is no definite pharmacological treatment for the *** public health policies to treat patients with risk factors for mASLD prevention is essential.

关键词： Nonalcoholic fatty liver disease Primary care metabolic risk Liver metabolism

ENSO impacts on litter stocks and water holding capacity in secondary forests in eastern Amazonia

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Journal of Forestry research 2024年第1期35卷 83-89页

作者： Julia Isabella de matos rodrigues Walmer Bruno rocha martins Victor.pereira de Oliveira myriam Suelen da Silva Wanzerley Hélio Brito dos Santos Júnior Francisco de Assis Oliveira Graduate Program in Forestry Sciences Av.Presidente Tancredo Neves2501BelémPará66077-530Brazil Federal rural University of Amazonia Av.Presidente Tancredo Neves2501BelémPará66077-530Brazil Federal rural University of Amazonia Tv.Pau-AmareloCapitão PoçoPará68650-000Brazil National Institute of Amazonia research Av.Constelação Cruzeiro do SulManausAmazonas 69060-062Brazil

Among the impacts of climate change,there is the intensification of phenomena such as the El Niño South-ern Oscillation(ENSO)responsible for El Niño and La Niñ***,understanding their effects on the functional pro-cesses of forests is ***,this study evaluated the effects of ENSO on litter stock and water holding capac-ity(WHC)in a successional forest in eastern *** occurred in periods with the most rainfall in El Niño(2019)and least in La Niña(2021)*** permanent plots were used to sample *** effects were evident for WHC,higher during El Niñ***,this influence was not clear for litter,as only in the rainy season effects were *** was a positive correlation of WHC with precipitation and humidity,while litter stocks were negatively correlated with temperature and wind *** the subject of this study requires long-term assessments,preliminary results suggests that,depending on the intensity of ENSO,forest functional processes can be strongly impacted and *** conclusion reinforces warnings by the scientific community about the impacts of climate change on the maintenance of litter stocks,decomposition and,consequently,the biogeochemical cycle and essential ecosystem services for the maintenance of Amazonia *** need to develop long-term research to understand the effects of climatic change on litter stocks and water holding capacity is highlighted,especially in Amazonia.

关键词： Seasonality Climate change Succession ecosystem Biogeochemical cycle Amazonia biodiversity

Bioremediation Potential of the macroalga Ulva lactuca (Chlorophyta) for Ammonium removal in Elastomer Industry Wastewater

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Advances in Bioscience and Biotechnology 2024年第6期15卷 325-343页

作者： Diego Lelis Alex Enrich-Prast Camille r. Chaves Thuane mendes Anacleto roberta r. C. pereira Vinicius P. de Oliveira Programa de Ps-Graduao em Biotecnologia Vegetal e Bioprocessos Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil Unidade multiusurio de Anlises Ambientais Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil Institute of marine Science Federal University of So Paulo (IMar/UNIFESP) Santos Brazil Department of Thematic StudiesEnvironmental Change and Biogas Solutions research Center (BSrC) Linkping University Linkping Sweden Department of marine Biology Institute of Biology Federal University of Rio de Janeiro Rio de Janeiro Brazil

During the production of nitrile rubber, significant amounts of nitrogen in the form of ammonium are generated in the wastewater. The discharge of this high-nitrogen wastewater can lead to serious environmental issues, including eutrophication, disruption of aquatic ecosystems, and groundwater contamination. To mitigate these impacts, this research explored the bioremediation capabilities of the macroalgae Ulva lactuca (Chlorophyta) for removing nitrogen from nitrile rubber production wastewater. The study employed single-phase and michaelis-menten decay models based on ammonium consumption, using various dilutions of wastewater to identify the optimal concentration for treatment. The physiological state of the macroalgae was monitored by measuring the photosynthetic capacity and specific growth rate during the experiments. In the presence of U. lactuca, ammonium concentrations decreased in all treatment groups, confirming that the ammonium kinetics conformed to both applied models. Our results show that U. lactuca effectively reduces ammonium concentrations, with an approximate removal rate of 0.020 µm·g−1·min−1 across different wastewater concentrations (70%, 80%, 90%, and 100%). Notably, the treatments with 70%, 80%, and 90% wastewater strength achieved about 67% reduction in ammonium, demonstrating the alga’s capacity to treat high-nitrogen wastewater. The photosynthetic performance of U. lactuca initially declined in control conditions but stabilized across all treatments, highlighting its adaptability. The kinetic analysis using the michaelis-menten model indicated a Vmax of 1342 μm·g−1·Dmh−1, suggesting a robust capacity for ammonium uptake when fully saturated. Our study underscores the potential of Ulva lactuca as a cost-effective and efficient agent for wastewater bioremediation, particularly in settings with high nitrogen loads.

关键词： Photosynthetic Quantum Yield One-Phase Decay model michaelis-menten model Nitrogen Physiological Parameters Elastomers

Preclinical and clinical evidence of the association of colibactinproducing Escherichia coli with anxiety and depression in colon cancer

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World Journal of Gastroenterology 2024年第21期30卷 2817-2826页

作者： Fabien rondepierre maëva meynier Johan Gagniere Vincent Deneuvy Anissa Deneuvy Gwenaelle roche Elodie Baudu Bruno pereira richard Bonnet Nicolas Barnich Frédéric Antonio Carvalho Denis Pezet mathilde Bonnet Isabelle Jalenques Service de Psychiatrie de l’Adulte A et Psychologie médicale CHU Clermont-FerrandClermont-Ferrand 63000France m2iSH UMR 1071INSERMUniversity of Clermont AuvergneINRAE USC 1382Clermont-Ferrand 63001France NeuroDol UMR 1107INSERMUniversity of Clermont AuvergneClermont-Ferrand 63001France Department of Digestive Surgery CHU de Clermont-FerrandClermont-Ferrand 63001France Biostatistics Unit Department of Clinical Research and InnovationCHU Clermont-FerrandClermont-Ferrand 63000France Department of Bacteriology CHU de Clermont-FerrandClermont-Ferrand 63001France UniversitéClermont Auvergne INPCNRSClermont Auvergne Institut PascalClermont-Ferrand 63000France

BACKGrOUND The association between the intestinal microbiota and psychiatric disorders is becoming increasingly *** gut microbiota contributes to colorectal carcinogenesis(CrC),as demonstrated with colibactin-producing Escherichia coli(CoPEC).AIm To evaluate the association between CoPEC prevalence and anxiety-and depressive-like behaviors with both preclinical and clinical *** Patients followed after a CrC surgery and for whom the prevalence of CoPEC has been investigated underwent a psychiatric *** were compared according to the CoPEC *** parallel C57BL6/J wild type mice and mice with a CrC susceptibility were chronically infected with a CoPEC *** behavior was assessed using the Elevated Plus maze test,the Forced Swimming Test and the Behavior recognition system PhenoTyper®.rESULTS In a limited cohort,all patients with CoPEC colonization presented with psychiatric disorders several years before cancer diagnosis,whereas only one patient(17%)without CoPEC *** result was confirmed in C57BL6/J wildtype mice and in a CrC susceptibility mouse model(adenomatous polyposis colimultiple intestinal neoplasia/+).mice exhibited a significant increase in anxiety-and depressive-like behaviors after chronic infection with a CoPEC *** This finding provides the first evidence that CoPEC infection can induce microbiota-gut-brain axis disturbances in addition to its procarcinogenic properties.

关键词： Colorectal cancer Colibactin Escherichia coli Colibactin-producing Escherichia coli Inflammation Anxiety Depression Behavior

Experimental verification of ill-defined topologies and energy sinks in electromagnetic continua

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Advanced Photonics 2022年第3期4卷 97-104页

作者： David E.Fernandes ricardo A.m.pereira Sylvain Lannebère Tiago A.morgado mário G.Silveirinha University of Coimbra Instituto de Telecomunicações and Department of Electrical EngineeringCoimbraPortugal University of Aveiro Instituto de TelecomunicaçõesDepartment of ElectronicsTelecommunications and InformaticsAveiroPortugal University of Lisbon Instituto Superior Técnico and Instituto de TelecomunicaçõesDepartment of Electrical EngineeringLisboaPortugal

.It is experimentally verified that nonreciprocal photonic systems with continuous translation symmetry may have an ill-defined *** topological classification of such systems is only feasible when the material response is regularized with a spatial-frequency *** experimentally demonstrate that adjoining a small air layer to the relevant material interface may effectively imitate an idealized spatial cutoff that suppresses the nonreciprocal response for short wavelengths and regularizes the ***,it is experimentally verified that nonreciprocal systems with an ill-defined topology may be used to abruptly halt the energy flow in a unidirectional waveguide due to the violation of the bulk-edge *** particular,we report the formation of an energy sink that absorbs the incoming electromagnetic waves with a large field enhancement at the singularity.

关键词： topological photonics nonreciprocity topological singularities bulk edge correspondence.

Assessing tree crown fire damage integrating linear spectral mixture analysis and supervised machine learning on Sentinel-2 imagery

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International Journal of Digital Earth 2023年第1期16卷 3162-3198页

作者： Giandomenico De Luca Giuseppe modica Joao m.N.Silva Salvatore Praticò Josém.C.pereira Dipartimento di Agrari1 Universitàdegli Studi Mediterranea di Reggio Calabri1Reggio Calabri1Italy Dipartimento di Scienze veterinarie Universitàdegli Studi di Messin1Messin1Italy Forest research Centre School of AgricultureUniversity of LisbonLisbonPortugal

Crown fire damage is a mixture of three principal fire-related components:charred material,scorched foliage,and unaltered green *** study estimated the abundance of these physical alterations in two immediate post-fire mediterranean forest contexts(Portugal and Italy)by applying linear spectral mixture analysis(LSmA)on Sentinel-2 *** tree crowns fire damage was subsequently mapped,integrating fractional abundance information in a random forest(rF)algorithm,comparing the accuracy resulting from the adoption of generic or image spectral libraries as the primary investigative *** image-derived endmembers resulted in more effectiveness in terms of fire-related components abundance quantification(LmSAderived rmSEres always were≥90%whether generic endmembers or image endmembers derived information was *** environmental heterogeneity of the two study areas affected the fire severity gradients,with a prevalence of the charred(PT)(45–46%)and green class(IT)(44–53%).Post-fire temporal monitoring was initialized by applying the proposed strategies,and the preliminary results showed a positive recovery trend in forest vegetation from the first year following the fire event,with a reduced charcoal predominance and an increasing proportion of green components.

关键词： Post-fire assessment fire severity post-fire vegetation recovery random forest(rF) scikit-learn fraction image extraction spectral unmixing endmembers crown fire damage mapping fully constrained least squares pixel purity index