LEADER 05785nam 2201729z- 450 001 9910557118203321 005 20210501 035 $a(CKB)5400000000040864 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68342 035 $a(oapen)doab68342 035 $a(EXLCZ)995400000000040864 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBiosensors - Recent Advances and Future Challenges 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (504 p.) 311 08$a3-03943-887-5 311 08$a3-03943-888-3 330 $aThe present book is devoted to all aspects of biosensing in a very broad definition, including, but not limited to, biomolecular composition used in biosensors (e.g., biocatalytic enzymes, DNAzymes, abiotic nanospecies with biocatalytic features, bioreceptors, DNA/RNA, aptasensors, etc.), physical signal transduction mechanisms (e.g., electrochemical, optical, magnetic, etc.), engineering of different biosensing platforms, operation of biosensors in vitro and in vivo (implantable or wearable devices), self-powered biosensors, etc. The biosensors can be represented with analogue devices measuring concentrations of analytes and binary devices operating in the YES/NO format, possibly with logical processing of input signals. Furthermore, the book is aimed at attracting young scientists and introducing them to the field, while providing newcomers with an enormous collection of literature references. 606 $aTechnology: general issues$2bicssc 610 $a2D nanomaterials 610 $a2D-materials 610 $a3D printing 610 $aadditive manufacturing 610 $aamperometric (bio)sensors 610 $aantibiofouling 610 $abacteria 610 $abiocatalysis 610 $abioelectrochemistry 610 $abiomarkers 610 $abiometrics 610 $abiomimetic membranes 610 $abiosensor 610 $abiosensors 610 $ablack phosphorus 610 $ablood 610 $acalibration-free 610 $acancer 610 $acapacitive EIS sensor 610 $acarbon nanotube 610 $acatalytic properties 610 $acharged molecules 610 $achemical sensor 610 $acipher 610 $acontinuous operation 610 $acurrent-potential curve 610 $acybersecurity 610 $adirect electron transfer (DET) 610 $aDNA 610 $aDNA assay 610 $aDNA biosensor 610 $aelectrochemical aptamer-based assays 610 $aelectrochemical biosensors 610 $aelectrochemical DNA sensor 610 $aelectrochemical ELISA 610 $aelectrochemical immunoassays 610 $aelectrochemistry 610 $aelectrodes 610 $aelectronanocatalyst 610 $aenzyme 610 $aenzyme biosensor 610 $aenzyme-based biosensors 610 $afield effect 610 $afield-effect transistor 610 $afingerprints 610 $aforeign body reaction 610 $aforensics 610 $aglucose 610 $aglucose biosensors 610 $agraphene 610 $aheme 610 $ahexagonal boron nitride 610 $ahuman physiological fluids 610 $aimmunosensor 610 $aion selective electrodes 610 $aisothermal 610 $alabel-free detection 610 $alactate 610 $amass-transfer-controlled amperometric response 610 $amembrane-bound enzymes 610 $ametabolism 610 $ametabolite sensors 610 $ametallic sulfide nanomaterials 610 $amicrofluidic 610 $amicrofluidics 610 $amulti-enzymatic cascades 610 $amultianalyte detection 610 $aMXenes 610 $an/a 610 $anano-peroxidase 610 $ananocomposite 610 $ananolaccase 610 $ananooxidase 610 $ananoparticle 610 $ananoporous gold 610 $ananoporous metals 610 $ananostructured electrodes 610 $ananozyme 610 $anon-invasive biosensors 610 $anucleic acid 610 $anucleic acid sensor 610 $aO2 610 $aordered mesoporous carbon 610 $apathogen sensing 610 $aperoxidase mimics 610 $aperoxidases 610 $apH sensor 610 $aphosphorene 610 $aphoto-biosensors 610 $aPOC 610 $apotentiometric coulometry 610 $aprotein detection 610 $aprotein film voltammetry (PFV) 610 $areagentless 610 $areal-time 610 $aredox enzymes 610 $aremote monitoring 610 $arestriction endonuclease 610 $areusable 610 $aRNA 610 $asaliva 610 $asemiconductors 610 $asensor biocompatibility 610 $asignal amplification 610 $asulfur-containing nanomaterials 610 $asulfur-containing quantum dots 610 $asweat 610 $asynthesis 610 $atears 610 $atransition metal dichalcogenides 610 $atransition metal oxides 610 $aurine 610 $awearable biosensors 610 $awearables 615 7$aTechnology: general issues 700 $aKatz$b Evgeny$4edt$0891450 702 $aBollella$b Paolo$4edt 702 $aKatz$b Evgeny$4oth 702 $aBollella$b Paolo$4oth 906 $aBOOK 912 $a9910557118203321 996 $aBiosensors ? Recent Advances and Future Challenges$93031279 997 $aUNINA LEADER 04446nam 22006975 450 001 9910298487903321 005 20251113181734.0 010 $a1-4899-7553-5 024 7 $a10.1007/978-1-4899-7553-9 035 $a(CKB)3710000000377817 035 $a(EBL)2096339 035 $a(SSID)ssj0001465441 035 $a(PQKBManifestationID)11833326 035 $a(PQKBTitleCode)TC0001465441 035 $a(PQKBWorkID)11477840 035 $a(PQKB)10154683 035 $a(DE-He213)978-1-4899-7553-9 035 $a(MiAaPQ)EBC2096339 035 $a(PPN)184895243 035 $a(MiAaPQ)EBC3108635 035 $a(EXLCZ)993710000000377817 100 $a20150318d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData Envelopment Analysis $eA Handbook of Models and Methods /$fedited by Joe Zhu 205 $a1st ed. 2015. 210 1$aNew York, NY :$cSpringer US :$cImprint: Springer,$d2015. 215 $a1 online resource (472 p.) 225 1 $aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v221 300 $aDescription based upon print version of record. 311 08$a1-4899-7552-7 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aDistance Functions in Primal and Dual Spaces -- DEA Cross Efficiency -- DEA Cross Efficiency Under Variable Returns to Scale -- Discrete and Integer Valued Inputs and Outputs in Data Envelopnebt Analysis -- DEA Models with Production Trade-offs and Weight Restrictions -- Facet Analysis in Data Envelopment Analysis -- Stochastic Nonparametric Approach to Efficiency Analysis: A Unified Framework -- Translation Invariance in Data Envelopment Analysis -- Scale Elasticity in Non-parametric DEA Approach -- DEA Based Benchmarking Models -- Data Envelopment Analysis with Non-Homogeneous DMUs -- Efficiency Measurement in Data Envelopment Analysis with Fuzzy Data -- Partial Input to Output Impacts in DEA: Production Considerations and Resource Sharing Among Business Sub-Units -- Super-efficiency in Data Envelopment Analysis -- DEA Models with Undesirable Inputs -- Frontier Differences and the Global Malmquist Index. 330 $aThis handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research. Topics include distance functions and their value duals, cross-efficiency measures in DEA, integer DEA, weight restrictions and production trade-offs, facet analysis in DEA, scale elasticity, benchmarking and context-dependent DEA, fuzzy DEA, non-homogenous units, partial input-output relations, super efficiency, treatment of undesirable measures, translation invariance, stochastic nonparametric envelopment of data, and global frontier index. Focusing only on new models/approaches of DEA, the book includes contributions from Juan Aparicio, Mette Asmild, Yao Chen, Wade D. Cook, Juan Du, Rolf Färe, Julie Harrison, Raha Imanirad, Andrew Johnson, Chiang Kao, Abolfazl Keshvari, Timo Kuosmanen, Sungmook Lim, Wenbin Liu, Dimitri Margaritis, Reza Kazemi Matin, Ole B. Olesen, Jesus T. Pastor, Niels Chr. Petersen, Victor V. Podinovski, Paul Rouse, Antti Saastamoinen, Biresh K. Sahoo, Kaoru Tone, and Zhongbao Zhou. 410 0$aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v221 606 $aOperations research 606 $aManagement science 606 $aIndustrial engineering 606 $aProduction engineering 606 $aOperations Research and Decision Theory 606 $aOperations Research, Management Science 606 $aIndustrial and Production Engineering 615 0$aOperations research. 615 0$aManagement science. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 14$aOperations Research and Decision Theory. 615 24$aOperations Research, Management Science. 615 24$aIndustrial and Production Engineering. 676 $a519.72 702 $aZhu$b Joe$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298487903321 996 $aData envelopment analysis$9394439 997 $aUNINA