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Solar-assisted photocatalytic water splitting using defective UiO-66 solids from modulated synthesis

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Nano Research 2024年第5期17卷 4134-4150页

作者： Celia M.Rueda-Navarro María Cabrero-Antonino Paula escamilla Valentín Díez-Cabanes Dong Fan Pedro Atienzar Belén Ferrer Ignacio Vayá Guillaume Maurin Herme G.Baldoví Sergio Navalón Departamento de Química Universitat Politècnica de ValènciaCamino de Vera s/nValencia 46022Spain Instituto de Ciencia Molecular(ICMOL) Universitat de ValènciaPaterna 46980Spain ICGM Univ.MontpellierCNRSENSCMMontpellier34095France Instituto de Tecnología Química(UPV-CSIC) Universitat Politècnica de ValènciaAvenida de los Naranjos s/nValencia 46022Spain

Metal-organic frameworks(MOFs)are attracting increasing interests as photocatalysts for solar-driven hydrogen production from *** paper reports on a comparative study of using either acetic acid(AA)or trifluoroacetic acid(TFA)as the representative UiO-66 organic modulators for synthesizing visible light responsive UiO-66(Zr)-X(X:NH_(2) or NO_(2))photocatalysts for water *** results show that photocatalytic hydrogen generation from a water/methanol mixture can be improved by varying the nature and amount of the modulator employed to prepare the different UiO-66(Zr)-X(X:NH_(2) or NO_(2))solid ***-66(Zr)-NH_(2) was the most active photocatalyst,followed by UiO-66(Zr)-NO_(2),both prepared with 12 equivalents of AA with respect to the organic *** UiO-66(Zr)-NH_(2) solid was more active than the parent MOF in photocatalytic overall water splitting(OWS)(H_(2) and O_(2) production of 450 and 160μmol·g^(-1),respectively,in 5 h;apparent quantum yield(AQY)at 400 nm of 0.06%)in the absence of methanol and compares favourably with analogous *** on the photocatalytic activity of the most active solids of both series was obtained by means of a series of techniques,including ultraviolet-visible(UV-vis)diffuse reflectance,X-ray photoelectron spectroscopy(XPS),laser flash photolysis(LFP),electron spin resonance(ESR),photoluminescence and photoelectrochemical measurements together with density functional theory(DFT)*** results showed that organic acid modulators can be used to enhance the photocatalytic activity of missing linker UiO-66 defective materials in solar-powered water splitting.

关键词： heterogeneous photocatalysis metal-organic frameworks(MOFs) UiO-66 materials carboxylic acid modulators water splitting solar light

Estimation of Displacement and Extension due to Reverse Drag of Normal Faults: Forward Method

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International Journal of Geosciences 2024年第1期15卷 25-39页

作者： Shunshan Xu Angel Francisco Nieto-samaniego Huilong Xu Susana Alicia Alaniz-Álvarez Universidad Nacional Autónoma de México Centro de Geociencias Apartado Postal 1-742 Querétaro Qro. México South China Sea Institute of Oceanology Chinese Academy of Sciences Guangzhou China

In the case of reverse drag of normal faulting, the displacement and horizontal extension are determined based on the established equations for the three mechanisms: rigid body, vertical shear and inclined shear. There are three sub-cases of basal detachment for the rigid body model: horizontal detachment, antithetic detachment and synthetic detachment. For the rigid body model, the established equations indicate that the total displacement on the synthetic base (Dt2) is the largest, that on the horizontal base (Dt1) is moderate, and that on the antithetic base (Dt3) is the smallest. On the other hand, the value of (Dt1) is larger than the displacement for the vertical shear (Dt4). The value of (Dt1) is larger than or less than the displacement for the inclined shear (Dt5) depending on the original fault dip δ0, bedding angle θ, and the angle of shear direction β. For all original parameters, the value of Dt5 is less than the value of Dt4. Also, by comparing three rotation mechanisms, we find that the inclined shear produces largest extension, the rigid body model with horizontal detachment produces the smallest extension, and the vertical shear model produces moderate extension.

关键词： Fault Rotation Fault Drag Fault Displacement Extension Forward Model

Survival effects of antibiotic exposure during the larval and adult stages in the West Nile virus vector Culex pipiens

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Insect Science 2024年第2期31卷 542-550页

作者： Marta Garrigos mario Garrido Manuel Morales-Yuste JosuéMartinez-de la Puente Jesus Veiga Faculty of Pharmacy Department of ParasitologyUniversity of GranadaGranadaSpain CIBER de Epidemiologia y Salud Publica(CIBERESP) MadridSpain

The ability of mosquitoes to transmit a pathogen is affected,among other factors,by their survival rate,which is partly modulated by their *** microbiota is acquired during the larval phase and modified during their development and adult feeding behavior,being highly dependent on environmental *** residues including antibiotics are widespread pollutants potentially being present in mosquito breeding waters likely affecting their ***,we used Culex pipiens mosquitoes to assess the impact of antibiotic exposure during the larval and adult stages on the survival rate of adult ***-collected larvae were randomly assigned to two treatments:larvae maintained in water supplemented with antibiotics and control *** adults were subsequently assigned to each of two treatments,fed with sugar solution with antibiotics and fed only with sugar solution(controls).Larval exposure to antibiotics significantly increased the survival rate of adult females that received a control *** addition,the effect of adult exposure to antibiotics on the survival rate of both male and female mosquitoes depended on the number of days that larvae fed ad libitum in the laboratory before *** particular,shorter larval ad libitum feeding periods reduced the survival rate of antibiotic-treated adult mosquitoes compared with those that emerged after a longer larval feeding *** differences were not found in control adult *** results extend the current understanding of the impact of antibiotic exposure of mosquitoes on a key component of vectorial capacity,that is the vector survival rate.

关键词： antibiotics avian malaria microbiota mosquitoes vector competence vector survival

Genomic signatures of selection,local adaptation and production type characterisation of East Adriatic sheep breeds

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Journal of Animal Science and Biotechnology 2024年第2期15卷 546-562页

作者： Boris Lukic Ino Curik Ivana Drzaic Vlatko Galić mario Shihabi LubošVostry Vlatka Cubric-Curik Faculty of Agrobiotechnical Sciences Osijek J.JStrossmayer University of OsijekVladimira Preloga 131000 OsijekCroatia Department of Animal Science Faculty of AgricultureUniversity of ZagrebSvetošimunska Cesta 2510000 ZagrebCroatia Department of Maize Breeding and Genetics Agricultural Institute OsijekJužno predgrađe 1731000 OsijekCroatia Czech University of Life Sciences Prague Kamycka 12916500 PraqueCzech Republic

Background The importance of sheep breeding in the Mediterranean part of the eastern Adriatic has a long tradition since its arrival during the Neolithic *** production system is extensive and generally carried out in traditional systems without intensive systematic breeding programmes for high uniform trait production(carcass,wool and milk yield).Therefore,eight indigenous Croatian sheep breeds from eastern Adriatic treated here as metapopulation(EAS),are generally considered as multipurpose breeds(milk,meat and wool),not specialised for a particular type of production,but known for their robustness and resistance to certain environmental *** objective was to identify genomic regions and genes that exhibit patterns of positive selection signatures,decipher their biological and productive functionality,and provide a"genomic"characterization of EAS adaptation and determine its production *** We identified positive selection signatures in EAS using several methods based on reduced local variation,linkage disequilibrium and site frequency spectrum(eROHi,iHS,nSL and CLR).Our analyses identified numerous genomic regions and genes(e.g.,desmosomal cadherin and desmoglein gene families)associated with environmental adaptation and economically important *** candidate genes were related to meat/production and health/immune response traits,while some of the candidate genes discovered were important for domestication and evolutionary processes(e.g.,HOXa gene family and FSIP2).These results were also confirmed by GO and QTL enrichment *** Our results contribute to a better understanding of the unique adaptive genetic architecture of EAS and define its productive type,ultimately providing a new opportunity for future breeding *** the same time,the numerous genes identified will improve our understanding of ruminant(sheep)robustness and resistance in the harsh and specific Mediterranean environment.

关键词： Composite-likelihood ratio East Adriatic sheep Extreme ROH islands Genomic selection signatures Integrated haplotype score Number of segregating sites by length

Multi‑omics integration identifies regulatory factors underlying bovine subclinical mastitis

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Journal of Animal Science and Biotechnology 2024年第3期15卷 987-1007页

作者： Mengqi Wang Naisu Yang mario Laterriere David Gagne Faith Omonijo Eveline M.Ibeagha‑Awemu Agriculture and Agri‑Food Canada Sherbrooke Research and Development CentreSherbrookeQCCanada Department of Animal Science Universite LavalQuebec CityQCCanada Quebec Research and Development Centre Agriculture and Agri-Food CanadaQuebec CityQCCanada

Background Mastitis caused by multiple factors remains one of the most common and costly disease of the dairy ***-omics approaches enable the comprehensive investigation of the complex interactions between mul-tiple layers of information to provide a more holistic view of disease ***,this study investigated the genomic and epigenomic signatures and the possible regulatory mechanisms underlying subclinical mastitis by integrating RNA sequencing data(mRNA and lncRNA),small RNA sequencing data(miRNA)and DNA methylation sequencing data of milk somatic cells from 10 healthy cows and 20 cows with naturally occurring subclinical mastitis caused by Staphylococcus aureus or Staphylococcus *** Functional investigation of the data sets through gene set analysis uncovered 3458 biological process GO terms and 170 KEGG pathways with altered activities during subclinical mastitis,provided further insights into subclin-ical mastitis and revealed the involvement of multi-omics signatures in the altered immune responses and impaired mammary gland productivity during subclinical *** abundant genomic and epigenomic signatures with sig-nificant alterations related to subclinical mastitis were observed,including 30,846,2552,1276 and 57 differential methylation haplotype blocks(dMHBs),differentially expressed genes(DEGs),lncRNAs(DELs)and miRNAs(DEMs),***,5 factors presenting the principal variation of differential multi-omics signatures were *** important roles of Factor 1(DEG,DEM and DEL)and Factor 2(dMHB and DEM),in the regulation of immune defense and impaired mammary gland functions during subclinical mastitis were *** of the omics within Factors 1 and 2 explained about 20%of the source of variation in subclinical ***,networks of impor-tant functional gene sets with the involvement of multi-omics signatures were demonstrated,which contributed to a comprehensive view of the possible regu

关键词： Candidate discriminant multi-omics signature Gene Long non-coding RNA Methylation haplotype block MicroRNA Multi-omics integration Natural killer cell mediated cytotoxicity pathway Staphylococcus aureus infection pathway

Uplifting the complexity of analysis for probabilistic security of electricity supply assessments using artificial neural networks

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Energy and AI

Energy and AI 2024年第3期17卷 313-326页

作者： Justin Münch Jan Priesmann Marius Reich Marius Tillmanns Aaron Praktiknjo mario Adam University of Applied Sciences Duesseldorf Centre of Innovative Energy SystemsMuensterstr.15640476 DuesseldorfGermany RWTH Aachen University E.ON Energy Research CenterChair for Energy System Economics(FCN-ESE)Mathieustrasse 1052074 AachenGermany

The energy sector faces rapid decarbonisation and decision-makers demand reliable assessments of the security of electricity supply. For this, detailed simulation models with a high temporal and technological resolution are required. When confronted with increasing weather-dependent renewable energy generation, probabilistic simulation models have proven. The significant computational costs of calculating a scenario, however, limit the complexity of further analysis. Advances in code optimization as well as the use of computing clusters still lead to runtimes of up to eight hours per scenario. However ongoing research highlights that tailor-made approximations are potentially the key factor in further reducing computing time. Consequently, current research aims to provide a method for the rapid prediction of widely varying scenarios. In this work artificial neural networks (ANN) are trained and compared to approximate the system behavior of the probabilistic simulation model. To do so, information needs to be sampled from the probabilistic simulation in an efficient way. Because only a limited space in the whole design space of the 16 independent variables is of interest, a classification is developed. Finally it required only around 35 min to create the regression models, including sampling the design space, simulating the training data and training the ANNs. The resulting ANNs are able to predict all scenarios within the validity range of the regression model with a coefficient of determination of over 0.9998 for independent test data (1.051.200 data points). They need only a few milliseconds to predict one scenario, enabling in-depth analysis in a brief period of time.

关键词： Security of electricity supply Probabilistic simulation Metamodeling Artificial neural networks Regression

Hazelnut mapping detection system using optical and radar remote sensing:Benchmarking machine learning algorithms

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Artificial Intelligence in Agriculture

Artificial Intelligence in Agriculture 2024年第2期12卷 97-108页

作者： Daniele Sasso Francesco Lodato Anna Sabatini Giorgio Pennazza Luca Vollero Marco Santonico mario Merone Department of Engineering Research Unit of Computer Systems and BioinformaticsUniversitàCampus Bio-Medico di RomaviaÁlvaro del PortilloRome 00128Italy Department of Science and Technology for Sustainable Development and One Health Research Unit of Electronics for Sensor SystemsUniversitàCampus Bio-Medico di RomaviaÁlvaro del PortilloRome 00128Italy Department of Engineering Research Unit of Electronics for Sensor SystemsUniversitàCampus Bio-Medico di RomaviaÁlvaro del PortilloRome 00128Italy Department of Biology University of Naples FedericoⅡNaples 80138Italy

Mapping hazelnut orchards can facilitate land planning and utilization policies,supporting the development of cooperative precision farming *** present work faces the detection of hazelnut crops using optical and radar remote sensing data.A comparative study of Machine Learning techniques is *** system proposed utilizes multi-temporal data from the Sentinel-1 and Sentinel-2 datasets extracted over several years and processed with cloud *** provide a dataset of 62,982 labeled samples,with 16,561 samples belonging to the‘hazelnut’class and 46,421 samples belonging to the‘other’class,collected in 8 heterogeneous geograph-ical areas of the Viterbo *** different comparative tests are conducted:firstly,we use a Nested 5-Fold Cross-Validation methodology to train,optimize,and compare different Machine Learning algorithms on a single *** a second experiment,the algorithms were trained on one area and tested on the remaining seven geo-graphical *** developed study demonstrates how AI analysis applied to Sentinel-1 and Sentinel-2 data is a valid technology for hazelnut *** the results,it emerges that Random Forest is the classifier with the highest generalizability,achieving the best performance in the second test with an accuracy of 96%and an F1 score of 91%for the‘hazelnut’class.

关键词： Remote sensing Crop detection Hazelnut Machine learning Classification

Integrative Analysis of Transcriptome and Phenolic Compounds Profile Provides Insights into the Quality of Soursop (Annona muricata L.) Fruit

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Phyton-International Journal of Experimental Botany 2024年第7期93卷 1717-1732页

作者： Yolotzin Apatzingán Palomino-Hermosillo Ángel Elpidio Díaz-Jasso Rosendo Balois-Morales Verónica AlhelíOchoa-Jiménez Pedro Ulises Bautista-Rosales Guillermo Berumen-Varela Unidad de Tecnología de Alimentos-Secretaría de Investigación y Posgrado Universidad Autónoma de Nayarit.Ciudad de la Cultura SNTepic63000NayaritMéxico Programa Académico de Biología Unidad Académica de AgriculturaUniversidad Autónoma de NayaritKm.9.Carretera Tepic-CompostelaXalisco63780NayaritMéxico Estancias Posdoctorales-Consejo Nacional de Humanidades Ciencias y TecnologíasCoordinación de Apoyos a Becarios e InvestigadoresDirección de PosgradoCiudad de México03940México

Soursop(Annona muricata L.)is a tropical fruit highly valued for its uniqueﬂavor,nutritional value,and health-promoting *** ripening process of soursop involves complex changes in gene expression and metabo-lite accumulation,which have been studied using various omics *** analysis has provided insights into the regulation of key genes involved in ripening,while metabolic compound analysis has revealed the presence of numerous bioactive compounds with potential health beneﬁ***,the integration of transcrip-tome and metabolite compound data has not been extensively explored in ***,in this paper,we present a comprehensive analysis of the transcriptome and phenolic compound proﬁles of soursop during *** integration analysis showed that the genes and phenolic compounds were mainly involved in the starch and sucrose metabolism pathways during soursop ***,the phenolic compounds Kaempferol 3-Q-galactoside,Procyanidin C1,Procyanidin trimmer C1,and m-Coumaric,as well as the genes Ubiquitin-like protein 5(UBL5_ARATH),ATP-dependent zinc metalloprotease FTSH8(FTSH8_ORYSJ),Zinc transporter 4(ZIP4_AR-ATH),Thioredoxin-like 3-1(TRL31_ORYSJ),Mitogen-activated protein kinase YODA(YODA_ARATH),R-man-delonitrile lyase-like(MGL_ARATH),26s protease regulatory subunit 6A homolog(PRS6_SOLLC),Cytochrome P45072A13(C7A13ARATH),Cytochrome P45084A1(C84A1_ARATH)and Homoserine O-trans-acetylase(MET2-ORYSJ)were correlated and differentially accumulated and expressed,*** study provides new insights into the molecular mechanisms underlying soursop ripening and may contribute to the development of strategies for improving the nutritional quality and shelf life of this important fruit.

关键词： Bioinformatics data integration genes metabolites postharvest storage ripening

Stem cell technology for antitumor drug loading and delivery in oncology

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Oncology Research 2024年第3期32卷 433-437页

作者： FRANCESCO PETRELLA ENRICO mario CASSINA LIDIA LIBRETTI EMANUELE PIRONDINI FEDERICO RAVEGLIA ANTONIO TUORO Department of Thoracic Surgery Fondazione IRCCSS an Gerardo dei TintoriMonza20900Italy

The main aim of antineoplastic treatment is to maximize patient benefit by augmenting the drug accumulation within affected organs and tissues,thus incrementing drug effects and,at the same time,reducing the damage of non-involved tissues to cytotoxic *** stromal cells(MSC)represent a group of undifferentiated multipotent cells presenting wide self-renewal features and the capacity to differentiate into an assortment of mesenchymal family *** the last year,they have been proposed as natural carriers for the selective release of antitumor drugs to malignant cll,s thus optimizing cytotoxic action on cancer cll,while significantly reducing adverse side efect on healthy *** chemotherapeutic drug loading and delivery is an encouraging new area of cell therapy for several tumors,especially for those with unsatisfactory prognosis and limited treatment options *** some experim ental models have been sucesfuly developed,phase I dinical studies are needed to confirm this potential application of cell therapy,in particular in the case of primary and secondary lung cancers.

关键词： Mesenchymal stromal cell Drug loading Drug delivery Mesothelioma Melanoma Glioblastoma Pancreatic ductal adenocarcinoma Multiple myeloma