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MIS 5e sea surface temperature estimation;a multi-proxy approach using a marine macrofossil assemblage(Mar Piccolo,Gulf of Taranto,Southern Italy)

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Journal of Palaeogeography 2024年第2期13卷 327-350页

作者： Pierluigi Santagati Edoardo Perri Maria Pia Bernasconi mario Borrelli Salvatore Guerrieri Salvatore Critelli Dipartimento di Biologia Ecologia e Scienze della TerraUniversita della Calabriavia Pietro Bucci87036 Arcavacata di RendeCosenzaItaly Dipartimento di Ingegneria Ambientale Universita della Calabriavia Pietro Bucci87036 Arcavacata di RendeCosenzaItaly

It is reported a multi-proxy palaeoclimatic study conducted on a MIS 5e calcarenite from the Mar Piccolo Basin(MP),Gulf of Taranto(GT)(Central Mediterranean).The calcarenite returned a rich malacofauna consisting of 120 extant species,including four of the tropical Senegalese Fauna,today absent in the *** biogeographic-climatic affinity of the assemblage shows,compared to today,a double percentage of warm affinity species,while the cold affinity species are nearly equally represented,indicating a warmer but not strictly tropical *** is confirmed by the most recurring preferred SST ranges of the assemblage,indicating an average of 20℃.The skeletal compositions of five well-preserved molluscan and coral specimens were analyzed for trace elements and stable isotopes for further mean SST *** the comparison of the results of several equations available in literature,it appears that only some SST estimations are realistic,converging into similar values of,on average,20.8±0.9℃.Considering all the used proxies,the MIS 5e SST difference compared to today falls in the range 1.2—2.0℃for the GT(being a more reasonable scenario)and 2.0—2.8℃for the *** is not a firmly tropical-like SST setting as suggested by the sole Senegalese fauna,indicating at least 2.7℃—3.5℃more than today’s GT and MP,*** approximations and assumptions made for obtaining SST values with any single proxy indicate the need of a multi-proxy approach to define the best SST estimation.

关键词： MiS 5e Sea surface temperature Palaeoclimate proxy Fossil fauna Gulf of Taranto

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Chestnut tannin:New use,research and bioeconomy

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Journal of Bioresources and Bioproducts 2024年第3期9卷 246-252页

作者： Rosaria Ciriminna Francesco Meneguzzo Giovanna Li Petri Cosimo Meneguzzo Giuseppe Angellotti mario Pagliaro Istituto per lo Studio dei Materiali Nanostrutturati CNRvia U.La Malfa 15390146 PalermoItaly Istituto per la Bioeconomia CNRvia Madonna del Piano 1050019 Sesto Fiorentino(FI)Italy HyRes Srl via Salvator Rosa 1882100 BeneventoItaly

Chestnut tannin,extracted from the bark or wood of chestnut trees,possesses unique properties that make it valuable in various *** serves as a natural source of tannins,which are widely used in the production of leather,textiles,and wood *** research continues to explore its potential applications,chestnut tannin remains a promising resource with diverse industrial *** new use,research and bioeconomy aspects,this study provides a unified perspective on chestnut *** advanced applications will likely emerge shortly.

关键词： Tannin Chestnut Bioeconomy Tannin market Hydrolysable tannin

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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

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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

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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

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

Energy and AI

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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

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

Artificial Intelligence in Agriculture

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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

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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

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Mental health in organizations from a healthcare analytics framework:taxonomic model,trends,and impact of COVID-19

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Journal of Management Analytics 2024年第1期11卷 62-86页

作者： Jorge Iván Pérez Rave Carlos mario Zapata Jaramillo Gloria Patricia Jaramillo Álvarez IDINNOV research group IDINNOV S.A.SMedellínColombia Department of Computing and Decision Sciences Universidad Nacional de ColombiaMedellínColombia

Mental disorders negatively affect employee well-being and organizational *** face a challenge in terms of how to manage mental *** paper clarifies three issues(underlying patterns,trends,and impact of COVID-19)regarding the scientific study of mental health in organizations from a healthcare analytics *** framework comprises eight stages considering a text-driven approach with scientific corpora assisted by linguistic/computational and statistical *** study discovers a new taxonomic model comprising five patterns in the scientific discourse on the *** analyses reveal imbalances and concerns regarding the interests associated with the patterns,which is reinforced by examining patterns“before”and“during”*** paper complements psychological/epidemiological studies on mental health in organizations from a healthcare analytics perspective.

关键词： Healthcare analytics healthcare management analytics mental health scientific discourse text analytics taxonomy COVID-19 management analytics

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A multi-mechanistic approach to the oil recovery study of a family of amphiphilic polysaccharides

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Petroleum Research 2024年第2期9卷 238-249页

作者： Funsho Afolabi Syed MMahmood Lunech mario Nur Asyraf Md Akhir Bennett Tackie-Otoo Hamid Sharifigaliuk Center of Research in Enhanced Oil Recovery Universiti Teknologi PETRONASSeri IskandarMalaysia Center for Subsurface Imaging Universiti Teknologi PETRONASSeri IskandarMalaysia Research Institute of Petroleum Industry(RIPI) TehranIran

Chemical enhanced oil recovery(cEOR)remains one of the most potent tertiary recovery ***,it is expensive and rarely environmentally ***-based amphiphilic polymers have been suggested as an alternative to eradicating the challenges of conventional cEOR because of cost-effectiveness,and ***,few in-depth studies exist in the literature to investigate the prospects of these materials.A new family of amphiphilic polysaccharides was synthesized by hydrophobic modification of cellulose sulphate,and the EOR functionalities were *** novel biopolymers exhibited the ability to alter rock wetting *** terms of recovery,one of the variants of the synthesized bio amphiphilic polymer(D-I)was able to reduce residual oil saturation to 12%at harsh conditions of 60,000 ppm salinity at 75℃.Micromodel visual analysis revealed that the performance of the novel materials was due to the combination of mobility control,IFT lowering and emulsification,wettability alteration,and *** a performance commensurate to that of a commercial hydrophobically modified polymer,it can be said that the novel amphiphilic polysaccharides can stand as a viable cEOR agent for oilfield applications.

关键词： Bio-based polymers Amphiphilic polysaccharides EOR Cellulose sulphate Environmental sustainability

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