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Piling up multidecker pyrgos[n]cages as antibacterial materials

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Science China Materials 2025年第01期 314-316页

作者： miguel A.Liuzzi-Vaamonde Jackson B.Lancaster Samantha A.Mason Yuanning Feng Department of Chemistry and Biochemistry The University of Oklahoma

The development of antibiotics is regarded as one of the most significant scientific advances in modern medicine. Before the commercialization of antibiotics, infectious diseases were catastrophic throughout history [1]. Penicillin was used to treat serious infections in the 1940s, but unfortunately, with the introduction of antibiotics came the emergence of antibiotic resistance [2,3]. Evolved and adapted methicillin-resistant Staphylococcus aureus (MRSA) strains are presently impacting community and healthcare systems across the globe [4].

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Litter buffet:On the use of trash bins by birds in six boreal urban settlements

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Avian Research 2023年第2期14卷 182-190页

作者： Michelle García-Arroyo miguel A.Gomez-Martínez Ian MacGregor-Fors Ecosystems and Environment Research Programme Faculty of Biological and Environmental SciencesUniversity of HelsinkiNiemenkatu 73Lahti15140Finland Instituto de Biotecnología y Ecología Aplicada(INBIOTECA) Universidad VeracruzanaXalapa91090Mexico

Unintentional food resources in urban areas(street litter,food leftovers,overflowing trash bins)are dietary components of some urban-exploiter bird *** this study,we report on 13 bird species in six southern Finnish cities using urban trash bins and describe differences in their activity when provided with food resources(i.e.,bait)in different bin *** used generalized linear models(GLM)and classification and regression trees(CART)to test for associations between environmental variables and bird activity at the *** activity at the binscapes significantly differed among all cities and among types of bins and was significantly higher after placing bait in all *** with the largest opening had more activity as opposed to those with smaller openings or *** and gulls had the highest activity,with corvids usually being present before the bait was placed and gulls increasing their activity *** differences show that trash bin foraging is highly malleable and thus susceptible to management preventing its *** waste management measures could aid in reducing the number of species close to bins and their surroundings,benefiting both bird and human health.

关键词： Avian Behavior Binscape Food resources Urban ecology

Mediterranean diet as the ideal model for preventing non-alcoholic fatty liver disease (NAFLD)

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Hepatobiliary Surgery and Nutrition 2020年第3期9卷 379-381页

作者： miguel A.Martínez-González Gorka Bastarrika Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición(CIBEROBN) Institute of Health CarlosⅢMadridSpain University of Navarra Department of Preventive Medicine and Public HealthIDISNAPamplonaSpain Department of Nutrition Harvard T.H.Chan School of Public HealthBostonMAUSA University of Navarra Department of RadiologyClínica Universidad de NavarraPamplonaSpain

The prevalence of nonalcoholic fatty liver disease(NAFLD)has dramatically increased in the 2–3 last decades and it represents the most frequent global cause of liver disease,affecting 25%to 45%of adults in most studi... 详细信息

关键词： NAFLD liver prevalence

How AI-enabled SDN technologies improve the security and functionality of industrial IoT network:Architectures,enabling technologies,and opportunities

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Digital Communications and Networks 2023年第6期9卷 1351-1362页

作者： Jinfang Jiang Chuan Lin Guangjie Han Adnan MAbu-Mahfouz Syed Bilal Hussain Shah miguel Martínez-García Department of Internet of Things Engineering Hohai UniversityChangzhou213022China Software College Northeastern UniversityShenyang110819China Council for Scientific and Industrial Research(CSIR) Pretoria0184South Africa School of Computing and Mathematics Manchester Metropolitan UniversityManchesterM156BHUK Department of Aeronautical and Automotive Engineering Loughborough UniversityLoughboroughLE113TTUK Department of Electrical and Electronic Engineering Science University of JohannesburgJohannesburgSouth Africa

The ongoing expansion of the Industrial Internet of Things(IIoT)is enabling the possibility of effective Industry 4.0,where massive sensing devices in heterogeneous environments are connected through dedicated communication *** brings forth new methods and models to fuse the information yielded by the various industrial plant elements and generates emerging security challenges that we have to face,providing ad-hoc functions for scheduling and guaranteeing the network ***,the large development of SoftwareDefined Networking(SDN)and Artificial Intelligence(AI)technologies have made feasible the design and control of scalable and secure IIoT *** paper studies how AI and SDN technologies combined can be leveraged towards improving the security and functionality of these IIoT *** surveying the state-of-the-art research efforts in the subject,the paper introduces a candidate architecture for AI-enabled Software-Defined IIoT Network(AI-SDIN)that divides the traditional industrial networks into three functional *** with this aim in mind,key technologies(Blockchain-based Data Sharing,Intelligent Wireless Data Sensing,Edge Intelligence,Time-Sensitive Networks,Integrating SDN&TSN,Distributed AI)and improve applications based on AISDIN are also ***,the paper also highlights new opportunities and potential research challenges in control and automation of IIoT networks.

关键词： Industrial internet of things(IIoT) Industry 4.0 Artificial intelligence(AI) Machine intelligence Software-defined networking(SDN)

Would behavioral thermoregulation enable pregnant viviparous tropical lizards to cope with a warmer world?

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Integrative Zoology 2017年第5期12卷 379-395页

作者： Saúl LÓPEZ-ALCAIDE miguel NAKAMURA Eric N.SMITH Enrique MARTÍnez-MEYER Departament of Zoology Institute of BiologyNational Autonomous University of MexicoMexico CityMexico Center for Research in Mathematics GuanajuatoMexico Amphibian and Reptile Diversity Research Center and Department of Biology University of Texas at ArlingtonArlingtonTexasUSA

Sceloporus lizards depend on external heat to achieve their preferred temperature(Tsel)for performing physiological *** both in the field and laboratory indicates that pregnant females of this Genus select body temperatures(Tb)lower than 34℃ as higher temperatures may be lethal to ***,thermoregulation is crucial for successful embryo *** the increase in global air temperature,it is expected that the first compensatory response of species that inhabit tropical climates will be behavioral *** tested whether viviparous Sceloporus formosus group lizards in the wild exhibited differences in thermoregulatory behavior to achieve the known Tsel for developing embryos regardless of local thermal *** quantified field active body temperature,thermoregulatory behavior mechanisms(time of sighting,microhabitat used and basking time)and available microhabitat thermal conditions(*** temperature)for 10 lizard species during gestation,distributed along an altitudinal *** applied both conventional and phylogenic analyses to explore whether Tb or behavioral thermoregulation could be regulated in response to different thermal *** species showed no significant differences in field Tb during gestation regardless of local thermal *** contrast,they exhibited significant differences in their behavioral thermoregulation associated with local environmental *** on these observations,the differences in thermoregulatory behavior identified are interpreted as compensatory adjustments to local thermal *** conclude that these species may deal with higher temperatures predicted for the tropics by modulating their thermoregulatory behavior.

关键词： altitudinal gradient behavior global warming Sceloporus formosus thermal stress

Pollen analysis reveals the effects of uncovered interactions,pollen-carrying structures,and pollinator sex on the structure of wild bee-plant networks

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Insect Science 2024年第3期31卷 971-988页

作者： Clément Tourbez Carmelo Gómez-Martínez miguelÁngel Gonzalez-Estévez Amparo Lazaro Mediterranean Institute for Advanced Studies(UIB-CSIC) Global Change Research GroupEsporlesBalearic IslandsSpain Department of Biology Ecology AreaUniversity of the Balearic/slandsPalmaSpain

Pollination networks are increasingly used to model the complexity of interactions between pollinators and flowering plants in *** methods exist to sample these interactions,with direct observations of plant-pollinator contacts in the field being by far the most *** the identification of pollen carried by pollinators allows uncovering interactions and increasing sample sizes,the methods used to build pollen-transport networks are variable and their effect on network structure remains *** understand how interaction sampling influences the structure of networks,we analyzed the pollen found on wild bees from eight communities across Mallorca Island and investigated the differences in pollen loads between bee body parts(scopa ***)and *** then assessed how these differences,as well as the uncovered interactions not detected in the field,influenced the structure of wild bee-plant *** identified a higher quantity and diversity of pollen in the scopa than in the rest of the female body,but these differences did not lead to differences in structure between plant-pollination(excluding scopa pollen)and bee-feeding interaction(including scopa pollen)***,networks built with pollen data were richer in plant species and interactions and showed lower modularity and specialization(H2'),and higher nestedness than visitation networks based on field *** interactions with plants were stronger compared to those of males,although not ***,females were more generalist(low d')and tended to be more central in interaction networks,indicating their more key role structuring pollination networks in comparison to *** study highlights the importance of palynological data to increase the resolution of networks,as well as to understand important ecological questions such as the differences between plant-pollination and bee-feeding interaction networks,and the role of sexes in pollination.

关键词： palynology pollen-transport networks pollination role of bee sexes sampling methodology visitation networks

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

Identification of characteristic plant co-occurrences in neotropical secondary montane forests

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Journal of Plant Ecology 2009年第1期2卷 31-41页

作者： miguel D.Mahecha Alfredo Martı´nez Holger Lange Markus Reichstein Erwin Beck Max Planck Institute for Biogeochemistry PO Box 10016407701 JenaGermany Department of Environmental Sciences Swiss Federal Institute of Technology—ETH Zurich8092 ZurichSwitzerland Bayreuth Centre for Ecology and Environmental Research University of Bayreuth95440 BayreuthGermany Fundacion Cordillera Tropical Jaime Roldos 4-80 y Huayna CapacEd.El Consorcio of.412CuencaEcuador Norwegian Forest and Landscape Institute PO Box 1151431 AsNorway

Aims Inferring environmental conditions from characteristic patterns of plant co-occurrences can be crucial for the development of conservation strategies concerning secondary neotropical ***,nomethodological agreement has been achieved so far regarding the identification and classification of characteristic groups of vascular plant species in the *** study examines botanical and,in particular,statistical aspects to beconsidered in such *** on these,we propose a novel data-driven approach for the identification of characteristic plantco-oc currences in neotropical secondary mountain *** Floristic inventory data were gathered in secondary tropical mountain forests in *** classification was performed by coupling locally adaptive isometric feature mapping,a non-linear ordination method and fuzzy-c-means *** approach was designed for dealing with underlying non-linearities and uncertainties in the inventory *** Findings The results indicate that the applied non-linear mapping in combination with fuzzy classification of species occurrence allows an effective identification of characteristic groups of co-occurring species as fuzzy-defined *** selected species indicated groups representing characteristic life-form distributions,as they correspond to various stages of forest *** the identified‘characteristic species groups’with meta-information derived from accompanying studies indicated that the clusters can also be related to habitat *** conclusion,we identified species groups either characteristic of different stages of forest succession after clear-cutting or of impact by fire or a *** expect that the proposed data-mining method will be useful for vegetation classification where no a priori knowledge is available.

关键词： secondary tropical mountain forests characteristic species groups non-linear ordination fuzzy-c-means clustering Ecuador

Non invasive blood flow measurement in cerebellum detects minimal hepatic encephalopathy earlier than psychometric tests

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World Journal of Gastroenterology 2014年第33期20卷 11815-11825页

作者： Vicente Felipo Amparo Urios Carla giménez-Garzó Omar Cauli Maria-Jesús Andrés-Costa Olga González miguel A Serra Javier Sánchez-González Roberto Aliaga Remedios Giner-Durán Vicente Belloch Carmina Montoliu Laboratory of Neurobiology Centro Investigación Príncipe Felipe 46012Valencia Spain Fundación Investigación Hospital Clínico de Valencia. Instituto de Investigación Sanitaria INCLIVA 46010 Valencia Spain Servicio DigestivoHospital Arnau de Vilanova 46015 Valencia Spain Grupo Hepatología Servicio Aparato Digestivo Hospital Clínico de Valencia 46010 Valencia Spain Philips Healthcare Iberia 28050 Madrid Spain ERESA Unidad RM 46015 Valencia Spain Departamento de Patología Facultad de Medicina Universidad de Valencia 46010 Valencia Spain

AIM: To assess whether non invasive blood flow measurement by arterial spin labeling in several brain regions detects minimal hepatic encephalopathy.

关键词： Arterial spin labelling Neurological impair-ment Blood flow Cerebellum Minimal hepatic enceph-alopathy