01652nam 2200517 450 99646656700331620230619193146.03-030-87832-5(MiAaPQ)EBC6839008(Au-PeEL)EBL6839008(CKB)20275219100041(OCoLC)1292352872(PPN)259390658(EXLCZ)992027521910004120220905d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMechanistic data science for STEM education and applications /Wing Kam Liu, Zhengtao Gan, Mark FlemingCham, Switzerland :Springer,[2021]©20211 online resource (287 pages)Print version: Liu, Wing Kam Mechanistic Data Science for STEM Education and Applications Cham : Springer International Publishing AG,c2021 9783030878313 Includes bibliographical references and index.MathematicsMatemàticathubDinàmicathubEducació STEMthubLlibres electrònicsthubMathematics.MatemàticaDinàmicaEducació STEM510Liu W. K(Wing Kam),297756Fleming Mark1969-Gan ZhengtaoMiAaPQMiAaPQMiAaPQBOOK996466567003316Mechanistic Data Science for STEM Education and Applications2584223UNISA04334nam 2200913z- 450 9910346857703321202102113-03897-981-3(CKB)4920000000095090(oapen)https://directory.doabooks.org/handle/20.500.12854/42129(oapen)doab42129(EXLCZ)99492000000009509020202102d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierBioactive Compounds from Marine-Derived Aspergillus, Penicillium, Talaromyces and Trichoderma SpeciesMDPI - Multidisciplinary Digital Publishing Institute20191 online resource (134 p.)3-03897-980-5 The importance of bioactive natural compounds in pharmacology and other biotechnological fields has stimulated the scientific community to explore new environmental contexts and their associated microbial diversity. As the largest frontier in biological discovery, the sea represents a significant source of organisms producing novel secondary metabolites with interesting bioactivities. Of the available biological material, fungi have received increasing consideration, both due to their pervasive occurrence in varying habitats as well as their aptitude to develop symbiotic associations with higher organisms in numerous contexts. In many cases, fungal strains have been reported as the real producers of drugs originally extracted from marine plants and animals. Due to the constantly increasing number of marine-derived fungi yielding valuable bioactive products, it is now appropriate to present these findings to a recipient audience in a more organized form. This Special Issue of Marine Drugs, entitled "Bioactive Compounds from Marine-Derived Aspergillus, Penicillium, Talaromyces, and Trichoderma Species"" is specifically focused on a few genera of ascomycetous fungi which are widespread regarding marine contexts and are particularly inclined to establishing symbiotic relationships. For this project, we welcome submissions of full research papers, short notes, and review articles reporting the discovery and characterization of products showing antibiotic, antitumor, antiviral, insecticidal, antimalarial, antifouling, antioxidant, plant growth-promoting and/or resistance-inducing, as well as other less-exploited activities.Biology, life sciencesbicsscantibacterialantibacterial activityantifungal activityAspergillaceaeAspergillusAspergillus candidusAspergillus clavatusaspetritonebioactive productsbis-indolyl benzenoidsBK (Maxi-K) channelbreast cancerbreviane spiroditerpenoidcandidusinchromonecoumarincytotoxiccytotoxicitiescytotoxicitydiastereomersditerpenoiddrug discoveryECD calculationsEGFRendophytic fungigefitinibHER2hydroxypyrrolidineIDH1 inhibitory activityindole-diterpenoidslapatinibmangrove endophytic fungusmangrovesmarine-derived fungin/aNMR data calculationsPenicillium raistrickiiPenicillium sp. TJ403-1penitrem Apolyketidessecondary metabolitessesquiterpenoidsponge-associated fungussteroneTalaromycesTalaromyces purpurogenusthermo-change strategyTNF-?Biology, life sciencesNicoletti Rosarioauth317547Vinale FrancescoauthBOOK9910346857703321Bioactive Compounds from Marine-Derived Aspergillus, Penicillium, Talaromyces and Trichoderma Species3020400UNINA04277nam 2200925z- 450 991055713470332120210501(CKB)5400000000040706(oapen)https://directory.doabooks.org/handle/20.500.12854/68570(oapen)doab68570(EXLCZ)99540000000004070620202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierInternet of Things and Artificial Intelligence in Transportation RevolutionBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (232 p.)3-0365-0310-2 3-0365-0311-0 The advent of Internet of Things offers a scalable and seamless connection of physical objects, including human beings and devices. This, along with artificial intelligence, has moved transportation towards becoming intelligent transportation. This book is a collection of eleven articles that have served as examples of the success of internet of things and artificial intelligence deployment in transportation research. Topics include collision avoidance for surface ships, indoor localization, vehicle authentication, traffic signal control, path-planning of unmanned ships, driver drowsiness and stress detection, vehicle density estimation, maritime vessel flow forecast, and vehicle license plate recognition. High-performance computing services have become more affordable in recent years, which triggered the adoption of deep-learning-based approaches to increase the performance standards of artificial intelligence models. Nevertheless, it has been pointed out by various researchers that traditional shallow-learning-based approaches usually have an advantage in applications with small datasets. The book can provide information to government officials, researchers, and practitioners. In each article, the authors have summarized the limitations of existing works and offered valuable information on future research directions.History of engineering and technologybicsscartificial neural networksat-risk drivingauthenticationautomatic license plate recognitionautonomous navigationautonomous path planningcollision avoidanceconnected vehicleconvolutional neural networkscrowdsourcingdata fusionDDPGdecision-makingdeep learningdeep reinforcement learningdeep support vector machinedriver drowsinessdriver stressend-to-endhistogram of oriented gradientshybrid dynamic systemindoor localizationInertial Measurement Unit (IMU)Inertial Measurement Unitsintelligent transportation systemsintelligent vehicle accessinternet of thingsmaritime autonomous surface shipsmaritime vessel flowsmulti-objective genetic algorithmmultiple kernel learningn/aroad anomaliesroad transportationscene divisionsecurityspeed guidancestate transitiontime-frequencytraffic signal controlunknown inputs observerunmanned shipsurban freewayvehicle arrival timevehicle densityHistory of engineering and technologyLytras Miltiadisedt1149833Chui Kwok TaiedtLiu Ryan WenedtLytras MiltiadisothChui Kwok TaiothLiu Ryan WenothBOOK9910557134703321Internet of Things and Artificial Intelligence in Transportation Revolution3037427UNINA