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Genetics of Biodegradation and Bioremediation
| Genetics of Biodegradation and Bioremediation |
| Autore | Santero Eduardo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences |
| Soggetto non controllato |
tetralin
Sphingopyxis granuli strain TFA Rhodococcus sp. strain TFB redox proteins carbon catabolite repression plastics biodegradation sustainability upcycling biotransformations polyethylene terephthalate terephthalate ethylene glycol biphenyl bph gene integrative conjugative element genome sequence LysR transcription factor Acinetobacter LTTR benzoate muconate synergism biosensor naphthalene toluene hydrocarbons plant growth promotion bioremediation Pseudomonas soil pollution phytoremediation rhizoremediation diesel bacteria consortium metagenomics PAHs TPH regulation anaerobic Azoarcus promoter architecture bioethanol furfural ALE AraC sterols bile acids steroid hormones 9,10-seco pathway 4,5-seco pathway 2,3-seco pathway xenobiotics Carbaryl horizontal gene transfer mobile genetic elements transposons integrative conjugative elements pathway assembly evolution Sphingopyxis lindanitolerans pesticide complete genome sequence pangenome γ-HCH degradation lin genes testosterone steroid catabolism transcriptomic valorisation catabolic pathway mobile DNA anaerobic biodegradation gene regulation |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557116903321 |
Santero Eduardo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Information Management and Big Data [[electronic resource] ] : 9th Annual International Conference, SIMBig 2022, Lima, Peru, November 16–18, 2022, Proceedings / / edited by Juan Antonio Lossio-Ventura, Jorge Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas
| Information Management and Big Data [[electronic resource] ] : 9th Annual International Conference, SIMBig 2022, Lima, Peru, November 16–18, 2022, Proceedings / / edited by Juan Antonio Lossio-Ventura, Jorge Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas |
| Autore | Lossio-Ventura Juan Antonio |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (287 pages) |
| Disciplina | 004.6 |
| Altri autori (Persone) |
Valverde-RebazaJorge
DíazEduardo Alatrista-SalasHugo |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer networks
Computer engineering Artificial intelligence Education—Data processing Social sciences—Data processing Image processing—Digital techniques Computer vision Computer Communication Networks Computer Engineering and Networks Artificial Intelligence Computers and Education Computer Application in Social and Behavioral Sciences Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-35445-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Preliminary Analysis of Twitter's LGBTQ + Discussions -- User-agnostic Model for Prediction of Retweets Based on Social Neighborhood Information -- Segmentation and classification of pages for digitized documents of the Public Prosecutor's Oce -- A Semantic Query Engine for Knowledge Rich Legal Digital Libraries -- Getting Quechua Closer to Final Users through Knowledge Graphs -- Using features based on elongation to enhance sentiment analysis -- Image Generation from sketches and text-guided attribute edition -- ADRAS: Airborne Disease Risk Assessment System for Closed Environments -- Predictive Sentiment Analysis Model regarding the variation of the Dollar Exchange Rate -- Maximising Influence Spread in Complex Networks by Utilising Community-based Driver Nodes as Seeds -- Peak Anomaly Detection from Environmental Sensor-Generated Watershed Time Series Data -- Gas Sensors and Machine Learning for Quality Evaluation of Grape Spirits (Pisco) -- Optimal layer selection on Deep Convolutional Neural Networks using backward freezing and binary Search -- Profiling Public Service Accessibility based on the Public Transport Infrastructure -- Multiple Scale Comparative Analysis of Classical, Dynamic and Intelligent Edge Detection Schemes -- Soil Organic Carbon Prediction using Digital Color Sensor in Peru -- Ideation of Computational Thinking Programs by Assembling Code Snippets from the Web -- Smart doorbell with Telegram notification for multifamily dwellings -- Performance analysis of machine learning for food fraud prediction. |
| Record Nr. | UNISA-996546830903316 |
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Lossio-Ventura Juan Antonio
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Information Management and Big Data : 9th Annual International Conference, SIMBig 2022, Lima, Peru, November 16–18, 2022, Proceedings / / edited by Juan Antonio Lossio-Ventura, Jorge Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas
| Information Management and Big Data : 9th Annual International Conference, SIMBig 2022, Lima, Peru, November 16–18, 2022, Proceedings / / edited by Juan Antonio Lossio-Ventura, Jorge Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas |
| Autore | Lossio-Ventura Juan Antonio |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (287 pages) |
| Disciplina | 004.6 |
| Altri autori (Persone) |
Valverde-RebazaJorge
DíazEduardo Alatrista-SalasHugo |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer networks
Computer engineering Artificial intelligence Education—Data processing Social sciences—Data processing Image processing—Digital techniques Computer vision Computer Communication Networks Computer Engineering and Networks Artificial Intelligence Computers and Education Computer Application in Social and Behavioral Sciences Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-35445-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Preliminary Analysis of Twitter's LGBTQ + Discussions -- User-agnostic Model for Prediction of Retweets Based on Social Neighborhood Information -- Segmentation and classification of pages for digitized documents of the Public Prosecutor's Oce -- A Semantic Query Engine for Knowledge Rich Legal Digital Libraries -- Getting Quechua Closer to Final Users through Knowledge Graphs -- Using features based on elongation to enhance sentiment analysis -- Image Generation from sketches and text-guided attribute edition -- ADRAS: Airborne Disease Risk Assessment System for Closed Environments -- Predictive Sentiment Analysis Model regarding the variation of the Dollar Exchange Rate -- Maximising Influence Spread in Complex Networks by Utilising Community-based Driver Nodes as Seeds -- Peak Anomaly Detection from Environmental Sensor-Generated Watershed Time Series Data -- Gas Sensors and Machine Learning for Quality Evaluation of Grape Spirits (Pisco) -- Optimal layer selection on Deep Convolutional Neural Networks using backward freezing and binary Search -- Profiling Public Service Accessibility based on the Public Transport Infrastructure -- Multiple Scale Comparative Analysis of Classical, Dynamic and Intelligent Edge Detection Schemes -- Soil Organic Carbon Prediction using Digital Color Sensor in Peru -- Ideation of Computational Thinking Programs by Assembling Code Snippets from the Web -- Smart doorbell with Telegram notification for multifamily dwellings -- Performance analysis of machine learning for food fraud prediction. |
| Record Nr. | UNINA-9910731470403321 |
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Lossio-Ventura Juan Antonio
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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