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Performance of statistical and machine learning-based methods for predicting biogeographical patterns of fungal productivity in forest ecosystems

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Forest Ecosystems 2021年第2期8卷 278-291页

作者： Albert Morera Juan Martínez de Aragón josé antonio bonet Jingjing Liang Sergio de-Miguel Department of Crop and Forest Sciences University of LleidaAv.Alcalde Rovira Roure 191E-25198 LleidaSpain Joint Research Unit CTFC-AGROTECNIO-CERCA Center Av.Rovira Roure 19125198 LleidaSpain Forest Science and Technology Centre of Catalonia Ctra.Sant Llorençde Morunys km 225280 SolsonaSpain Forest Advanced Computing and Artificial Intelligence Laboratory Department of Forestry and Natural ResourcesPurdue UniversityWest LafayetteIN 47907USA

Background:The prediction of biogeographical patterns from a large number of driving factors with complex interactions,correlations and non-linear dependences require advanced analytical methods and modeling *** study compares different statistical and machine learning-based models for predicting fungal productivity biogeographical patterns as a case study for the thorough assessment of the performance of alternative modeling approaches to provide accurate and ecologically-consistent ***:We evaluated and compared the performance of two statistical modeling techniques,namely,generalized linear mixed models and geographically weighted regression,and four techniques based on different machine learning algorithms,namely,random forest,extreme gradient boosting,support vector machine and artificial neural network to predict fungal *** evaluation was conducted using a systematic methodology combining random,spatial and environmental blocking together with the assessment of the ecological consistency of spatially-explicit model predictions according to scientific ***:Fungal productivity predictions were sensitive to the modeling approach and the number of predictors ***,the importance assigned to different predictors varied between machine learning modeling *** tree-based models increased prediction accuracy by more than 10%compared to other machine learning approaches,and by more than 20%compared to statistical models,and resulted in higher ecological consistence of the predicted biogeographical patterns of fungal ***:Decision tree-based models were the best approach for prediction both in sampling-like environments as well as in extrapolation beyond the spatial and climatic range of the modeling *** this study,we show that proper variable selection is crucial to create robust models for extrapolation in biophysically differentiated *** allows for reducing the dime

关键词： Modeling Regression Biogeography Climate Forest Fungi Mushrooms

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Comparing Fine-Tuning, Zero and Few-Shot Strategies with Large Language Models in Hate Speech Detection in English

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2849-2868页

作者： Ronghao Pan joséantonio García-Díaz Rafael Valencia-García Departamento de Informática y Sistemas Universidad de MurciaCampus de EspinardoMurcia30100Spain

Large Language Models(LLMs)are increasingly demonstrating their ability to understand natural language and solve complex tasks,especially through text *** of the relevant capabilities is contextual learning,which involves the ability to receive instructions in natural language or task demonstrations to generate expected outputs for test instances without the need for additional training or gradient *** recent years,the popularity of social networking has provided a medium through which some users can engage in offensive and harmful online *** this study,we investigate the ability of different LLMs,ranging from zero-shot and few-shot learning to *** experiments show that LLMs can identify sexist and hateful online texts using zero-shot and few-shot approaches through information ***,it is found that the encoder-decoder model called Zephyr achieves the best results with the fine-tuning approach,scoring 86.811%on the Explainable Detection of Online Sexism(EDOS)test-set and 57.453%on the Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter(HatEval)***,it is confirmed that the evaluated models perform well in hate text detection,as they beat the best result in the HatEval task *** error analysis shows that contextual learning had difficulty distinguishing between types of hate speech and figurative ***,the fine-tuned approach tends to produce many false positives.

关键词： Hate speech detection zero-shot few-shot fine-tuning natural language processing

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Glucagon-like peptide 1 receptor activation:anti-inflammatory effects in the brain

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Neural Regeneration Research 2024年第8期19卷 1671-1677页

作者： Yolanda Diz-Chaves Zainab Maastor Carlos Spuch josé antonio Lamas Lucas C.González-Matías Federico Mallo Biomedical Research Centre(CINBIO) Laboratory of EndocrinologyUniversity of VigoGalicia Sur Health Research InstituteVigoSpain Translational Neuroscience Research Group Galicia Sur Health Research InstituteCIBERSAMHospitalÁlvaro CunqueiroSala InvestigaciónEstrada Clara CampoamorVigoSpain Biomedical Research Centre(CINBIO) Laboratory of NeuroscienceUniversity of VigoGalicia Sur Health Research InstituteVigoSpain

The glucagon-like peptide 1 is a pleiotropic hormone that has potent insulinotropic effects and is key in treating metabolic diseases such as diabetes and ***-like peptide 1 exerts its effects by activating a membrane receptor identified in many tissues,including diffe rent brain ***-like peptide 1 activates several signaling pathways related to neuroprotection,like the support of cell growth/survival,enhancement promotion of synapse formation,autophagy,and inhibition of the secretion of proinflammatory cytokines,microglial activation,and apoptosis during neural *** glial cells,including astrocytes and microglia,maintain metabolic homeostasis and defe nse against pathogens in the central nervous *** brain insult,microglia are the first cells to respond,followed by reactive *** activated cells produce proinflammato ry mediators like cytokines or chemokines to react to the ***,under these circumstances,mic roglia can become chro nically inflammatory by losing their homeostatic molecular signature and,consequently,their functions during many *** processes promote the development of neurological disorders and influence their pathological evolution:like the formation of protein aggregates,the accumulation of abnormally modified cellular constituents,the formation and release by injured neurons or synapses of molecules that can dampen neural function,and,of critical impo rtance,the dysregulation of inflammato ry control *** glucagonlike peptide 1 receptor agonist emerges as a critical tool in treating brain-related inflammatory pathologies,restoring brain cell homeostasis under inflammatory conditions,modulating mic roglia activity,and decreasing the inflammato ry *** review summarizes recent advances linked to the anti-inflammato ry prope rties of glucagon-like peptide 1 receptor activation in the brain related to multiple sclerosis,Alzheimer’s disease,Parkins

关键词： astrocytes brain glucagon-like peptide 1 receptor inflammation microglia

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Clinicopathological alterations in wild mammals from the reservoir system of Trypanosoma cruzi:a scoping review

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Animal Diseases 2024年第1期4卷 48-58页

作者： Ricardo Sanchez Pérez joséManuel Aranda-Coello joséantonio De Fuentes Vicente Oscar Rico Chavez Facultad de Estudios Superiores Cuautitlan Universidad Nacional Autonoma deMexicoCuautitlan lzcalliEstadodeMexicoMexico El Colegio de la Frontera Sur-Unidad Campeche CampecheCampecheMexico Instituto de Ciencias Biologicas-Universidad de Ciencias y Artes de Chiapas Tuxtla GutierrezChiapasMexico Facultad de Medicina Veterinaria y Zootecnia-Universidad Nacional Autonoma deMexico Ciudad deMexicoMexico

Trypanosoma cruzi is the etiologic agent of Chagas *** flagellated protozoan is transmitted to humans as well as different species of domestic and wild animals via vectors from the Reduviidae family(known as"kissing bugs").Despite the fact that hundreds of species of wild mammals are part of the reservoir system,the morphologi-cal changes and clinical manifestations resulting from the pathogenesis of the infection have been largely *** aim of this review is to systematically compile the available information regarding clinicopathological altera-tions in wild mammals due to natural infection by *** was obtained from six online bibliographic data search platforms,resulting in the identification of 29 publications that met the inclusion *** was the most common clinical manifestation,cardiac damage was the main finding at necropsy,and lymphoplas-macytic inflammation was the most frequent microscopic ***,regardless of its role as a reservoir,*** has the potential to affect the health status of wild mammals,a situation that highlights the need for further research to analyze,measure,and compare its effects at both the individual and population levels.

关键词： Trypanosoma cruzi Chagas disease American trypanosomiasis Clinicopathological alterations Natural infection Wild mammals

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Nickel-based cerium zirconate inorganic complex structures for CO_(2)valorisation via dry reforming of methane

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Journal of Environmental Sciences 2024年第6期140卷 12-23页

作者： Juan Luis Martín-Espejo Loukia-Pantzechroula Merkouri Jesús Gándara-Loe josé antonio Odriozola Tomas Ramirez Reina Laura Pastor-Pérez Department of Inorganic Chemistry and Material Sciences Institute of Seville University of Seville-CSICSeville 41092Spain Department of Chemical and Process Engineering University of SurreyGuildford GU27XHUnited Kingdom

The increasing anthropogenic emissions of greenhouse gases(GHG)is encouraging extensive research in CO_(2)*** reforming of methane(DRM)depicts a viable strategy to convert both CO_(2)and CH4into syngas,a worthwhile chemical *** the different active phases for DRM,the use of nickel as catalyst is economically favourable,but typically deactivates due to sintering and carbon *** stabilisation of Ni at different loadings in cerium zirconate inorganic complex structures is investigated in this work as strategy to develop robust Ni-based DRM *** and TPR-H2analyses confirmed the existence of different phases according to the Ni loading in these ***,superficial Ni is observed as well as the existence of a CeNiO_(3)perovskite *** catalytic activity was tested,proving that 10 wt.%Ni loading is the optimum which maximises *** catalyst was also tested in long-term stability experiments at 600and 800℃in order to study the potential deactivation issues at two different *** 600℃,carbon formation is the main cause of catalytic deactivation,whereas a robust stability is shown at 800℃,observing no sintering of the active phase evidencing the success of this strategy rendering a new family of economically appealing CO_(2)and biogas mixtures upgrading catalysts.

关键词： CO_(2)conversion Dry reforming of methane Nickel catalysts Pyrochlore Cerium zirconate

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Yield models for predicting aboveground ectomycorrhizal fungal productivity in Pinus sylvestris and Pinus pinaster stands of northern Spain

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Forest Ecosystems 2019年第4期6卷 414-426页

作者： Mariola Sánchez-González Sergio de-Miguel Pablo Martin-Pinto Fernando Martínez-Pe?a María Pasalodos-Tato Juan Andrés Oria-de-Rueda Juan Martínez de Aragón Isabel Ca?ellas josé antonio bonet Spanish National Institute for Agricultural and Food Research and Technology (INIA)

Background: Predictive models shed light on aboveground fungal yield dynamics and can assist decision-making in forestry by integrating this valuable non-wood forest product into forest management planning. However, the currently existing models are based on rather local data and, thus, there is a lack of predictive tools to monitor mushroom yields on larger ***: This work presents the first empirical models for predicting the annual yields of ectomycorrhizal mushrooms and related ecosystem services in Pinus sylvestris and Pinus pinaster stands in northern Spain, using a long-term dataset suitable to account for the combined effect of meteorological conditions and stand *** were fitted for the following groups of fungi separately: all ectomycorrhizal mushrooms, edible mushrooms and marketed mushrooms. Our results show the influence of the weather variables(mainly precipitation) on mushroom yields as well as the relevance of the basal area of the forest stand that follows a right-skewed unimodal curve with maximum predicted yields at stand basal areas of 30–40 m2·***: These models are the first empirical models for predicting the annual yields of ectomycorrhizal mushrooms in Pinus sylvestris and Pinus pinaster stands in northern Spain, being of the highest resolution developed to date and enable predictions of mushrooms productivity by taking into account weather conditions and forests’ location, composition and structure.

关键词： Mushrooms Fungi Non-wood forest products Mixed models Hurdle models

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Federated Network Intelligence Orchestration for Scalable and Automated FL-Based Anomaly Detection in B5G Networks

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Computers, Materials & Continua 2024年第7期80卷 163-193页

作者： Pablo Fernández Saura joséM.BernabéMurcia Emilio García de la Calera Molina Alejandro Molina Zarca Jorge Bernal Bernabé antonio F.Skarmeta Gómez Department of Information and Communications Engineering University of MurciaMurcia30100Spain University Center of Defense Spanish Air Force AcademySan Javier30720Spain

The management of network intelligence in Beyond 5G(B5G)networks encompasses the complex challenges of scalability,dynamicity,interoperability,privacy,and *** are essential steps towards achieving the realization of truly ubiquitous Artificial Intelligence(AI)-based analytics,empowering seamless integration across the entire Continuum(Edge,Fog,Core,Cloud).This paper introduces a Federated Network Intelligence Orchestration approach aimed at scalable and automated Federated Learning(FL)-based anomaly detection in *** leveraging a horizontal Federated learning approach based on the FedAvg aggregation algorithm,which employs a deep autoencoder model trained on non-anomalous traffic samples to recognize normal behavior,the systemorchestrates network intelligence to detect and prevent *** into a B5G Zero-touch Service Management(ZSM)aligned Security Framework,the proposal utilizes multi-domain and multi-tenant orchestration to automate and scale the deployment of FL-agents and AI-based anomaly detectors,enhancing reaction capabilities against *** proposed FL architecture can be dynamically deployed across the B5G Continuum,utilizing a hierarchy of Network Intelligence orchestrators for real-time anomaly and security threat *** includes FL enforcement operations for interoperability and extensibility,enabling dynamic deployment,configuration,and reconfiguration on *** validation of the proposed solution was conducted through dynamic orchestration,FL,and real-time anomaly detection processes using a practical test *** of key performance metrics,leveraging the 5G-NIDD dataset,demonstrates the system’s capability for automatic and near real-time handling of anomalies and attacks,including real-time network monitoring and countermeasure implementation for mitigation.

关键词： Federated learning 6G orchestration anomaly detection security policy

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Multi-tissue transcriptomics of a unique monozygotic discordant twin case of severe progressive osseous heteroplasia

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Genes & Diseases 2024年第3期11卷 22-25页

作者： Alberto Gomez-Carballa Maria jose Curras-Tuala Sara Pischedda Miriam Cebey-Lopez jose Gomez-Rial Irene Rivero-Cale Jacobo Pardo-seco Xabier Bello Sandra Viz-Lasheras antonio Justicia-Grande Julian Montoto-Louzao Alba Camino-Mera Isabel Ferreiros-Vidal Maximo Fraga jose RAntunez Rodolfo Gomez Federico Martinon-Torres antonio Salas Genetics Vaccines and Infections Research Group(GENVIP)Instituto de Investigacion Sanitaria de SantiagoSantiagode CompostelaGalicia 15706Spain Translational Pediatrics and Infectious Diseases Department of PediatricsHospital Clinico Universitario de Santiago de CompostelaServicio Galego de Saude(SERGAS)Galicia 15706Spain Laboratorio de Inmunologia Servicio de Andlisis ClinicosHospital Clinico Universitario de Santiago de CompostelaServicio Galego de Saude(SERGAS)Galicia 15706Spain Unidade de Xenetica Instituto de Ciencias Forenses(INCIFOR)Facultade de MedicinaUniversidade de Santiago de Compostelaand GenPoB Research GroupInstituto de Investigacion SanitariaHospital Clinico Universitario de Santiago de CompostelaServicio Galego de Saude(SERGAS)Galicia 15706Spain Musculoskeletal Pathology Group Instituto de Investigacion Sanitaria de SantiagoServicio Galego de Saude(SERGAS)Santiago de CompostelaGalicia 15706Spain Department of Pathology Hospital Clinico Universitario de Santiago de Compostela(SERGAS)Galicia 15706Spain Unidad Integrada de BiobancosBiomodelos 3D y Modelos Animales IDIS(lnstituto de Investigacion Sanitaria de Santiagode Compostela)Galicia15706Spain Centro de Investigacion Biomedica en Red de Enfermedades Respiratorias(CIBER-ES) MadridSpain

Progressive osseous heteroplasia(POH)is an ultra-rare autosomal dominant disabling disorder characterized by heterotopic ossification(HO).It is caused by heterozygous inactivating mutations in the GNAS(guanine nucleotide-binding protein alpha-stimulating activity polypeptide)***,the molecular mechanisms underlying HO remain poorly *** a treatment for POH is not yet available,the identification of the mechanisms driving POH in affected tissues using gene expression may be of great help to underestand the molecular basis of POH and develop new therapeutic approaches.

关键词： stimulating driving asi

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From Simulation to Reality: A Comprehensive Study on the Efficacy of a Rotating Monopolar and Bipolar Radiofrequency System through In-Silico Modeling and Pre-Clinical and Clinical Validation

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Journal of Biomedical Science and Engineering 2024年第6期17卷 107-128页

作者： Gregorio Viera Mármol Ana Lorena Urbano Bojorge Alicia Robledo Jorge josé antonio Ferrández Martínez Olalla Calvo Lozano High Technology Products S.L.U. (Sinclair) Barcelona Spain

Background: Skin aging is an unavoidable process aggravated by environmental agents. Among other energy devices, non-invasive radiofrequency (RF) technology is widely used for skin tightening and body contouring as it is simpler and more affordable than other technologies that also minimize pain and side-effects. However, most of the current RF devices do not provide automatic skin temperature control and it is difficult to achieve controlled, deep, and harmless thermal increase, so treatment performance and safety is dependent on the operator’s movements and expertise. Objective: To show the potential of numerical simulations for optimizing the design of monopolar and bipolar RF electrodes that are capable of providing homogeneous, deep and controlled heating. Materials and methods: In-silico models were developed and analyzed using Comsol Multiphysics software to simulate the RF effect produced in tissue by rotating monopolar and bipolar electrodes with different geometries from the Sculpt & Shape RF device (Sinclair, Spain), operating at frequencies of 0.5 and 1 MHz. Ex-vivo and in-vivo proof-of-concept tests were carried out to validate the simulations. Finally, treatments were performed on 16 subjects and a total of 78 body areas to assess the clinical results generated by the RF electrodes for skin tightening and body contouring. Results: In-silico studies emulated the superficial and deep dispersion of heat due to the release of RF energy into human skin tissue. The rotating electrodes (monopolar and bipolar) and the selected RF frequency (0.5 and 1 MHz) determined the homogeneity of the thermal distribution, the penetration depth (between 4.37 mm and 25.0 mm) and the heating dynamics (between 30 and 100 seconds to reach the target skin temperature), which were confirmed by ex-vivo and in-vivo tests. In addition, real treatments on facial and body areas using skin temperatures of between 43˚C and 44˚C showed consistent results with good clinical efficacy for

关键词： Comsol Multiphysics Simulations Radiofrequency Skin Tightening Fat Reduction Body Contouring Cellulite

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Male genitourinary schistosomiasis-related symptoms among long-term Western African migrants in Spain: a prospective population-based screening study

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贫困所致传染病(英文) 2024年第2期13卷 1-10页

作者： Roure Sílvia Vallès Xavier Pérez-Quílez Olga López-Mu?oz Israel Chamorro Anna Abad Elena Valerio Lluís Soldevila Laura Espa?a Sergio Hegazy Alaa H. A. Fernández-Rivas Gema Gorriz Ester Herena Dolores Oliveira Mário Miralles Maria Carme Conde Carmen Montero-Alia Juan josé Fernández-Pedregal Elia Miranda-Sánchez jose Llibre josep M. Isnard Mar bonet josep Maria Estrada Oriol Prat Núria Clotet Bonaventura The Schisto-Stop study group International Health Program (PROSICS) Barcelona North Metropolitan Territorial Directorate for Infectious Diseases Catalan Institute for Health CAP La Salut Passatge dels Encants S/N Badalona Spain Fundació Lluita contra les Infeccions c/Can Ruti s/n Badalona Spain Infectious Diseases Department Hospital Universitari Germans Trias i Pujol c/Can Ruti s/n Badalona Spain Germans Trias i Pujol Research Institute c/Can Ruti s/n Badalona Spain Microbiology Department Germans Trias i Pujol University Hospital c/Can Ruti s/n Badalona Spain Department of Genetics and Microbiology Universitat Autònoma de Barcelona c/Can Ruti s/n Badalona Spain Faculty of Medicine University of Asyut El Fateh Assiut Governorate Egypt Department of Urology Germans Trias i Pujol University Hospital c/Can Ruti s/n Badalona Spain Canovelles Primary Health Care Unit Barcelona North Metropolitan Health Directorate Catalan Institute for Health C/Indústria Canovelles Spain Primary Health Care Unit Mataró-(Rocafonda-Palau) Barcelona North Metropolitan Health Directorate Catalan Institute for Health Camí Ral el Ravalet Mataró Barcelona Spain Barcelona North Metropolitan Primary Care Directorate Catalan Institute for Health Ctra. de Barcelona Sabadell Barcelona Spain Directorate for Innovation and Interdisciplinary Cooperation Barcelona North Metropolitan Health Directorate Catalan Institute for Health C/Can Ruti S/N Badalona Spain IrsiCaixa-AIDS Research Institute Hospital Universitari Germans Trias i Pujol University Hospital c/Can Ruti s/n Badalona Spain Infectious Diseases Directorate Barcelona North Metropolitan Health Directorate Catalan Institute for Health C/Can Ruti S/N Badalona Spain

Background Schistosomiasis is highly endemic in sub-Saharan Africa and frequently imported to Europe. Male urogenital manifestations are often neglected. We aimed to ascertain the prevalence of genitourinary clinical signs and symptoms among long-term African migrants in a non-endemic European country using a serology *** We carried out a prospective, community-based cross-sectional study of adult male migrants from sub-Saharan Africa living in *** serology tests and microscopic urine examinations were carried out, and clinical data were obtained from an electronic medical record search and a structured *** We included 388 adult males, mean age 43.5 years [Standard Deviation (SD) = 12.0, range: 18–76]. The median time since migration to the European Union was 17 [Interquartile range (IQR): 11–21] years. The most frequent country of origin was Senegal (N = 179, 46.1%). Of the 338, 147 (37.6%) tested positive forSchistosoma. Parasite eggs were present in the urine of only 1.3%. Nine genitourinary clinical items were significantly associated with positiveSchistosoma serology results: pelvic pain (45.2%;OR = 1.57, 95%CI: 1.0–2.4), pain on ejaculation (14.5%;OR = 1.85, 95%CI: 1.0–3.5), dyspareunia (12.4%;OR = 2.45, 95%CI: 1.2–5.2), erectile dysfunction (9.5%;OR = 3.10, 95%CI: 1.3–7.6), self-reported episodes of infertility (32.1%;OR = 1.69, 95%CI: 1.0–2.8), haematuria (55.2%;OR = 2.37, 95%CI: 1.5–3.6), dysuria (52.1%;OR = 2.01, 95%CI: 1.3–3.1), undiagnosed syndromic STIs (5.4%), and orchitis (20.7%;OR = 1.81, 95%CI: 1.0–3.1). Clinical signs tended to *** Urogenital clinical signs and symptoms are prevalent among male African long-term migrants with a positiveSchistosoma serology results. Genital involvement can be frequent even among those with long periods of non-residence in their sub-Saharan African countries of origin. Further research is needed to develop diagnostic tools and validate therapeutic approaches to

关键词： Schistosomiasis Chronic schistosomiasis Urogenital schistosomiasis Male genital schistosomiasis Longterm migrant

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