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Life cycle greenhouse gas emissions of retrofit electrification: Assessment for a real case study

Results in engineering, 2024-09, Vol.23, p.102454, Article 102454

2024

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Movement disorder phenotype in CTNNB1-syndrome: A complex but recognizable phenomenology

Parkinsonism & related disorders, 2024-09, Vol.126, p.107057, Article 107057

2024

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On the Electrochemical Growth of a Crystalline p–n Junction From Aqueous Solutions

Chemistry : a European journal, 2024-07, Vol.30 (42), p.e202401403-n/a

2024

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Breathing Monitoring in Soccer: Part I—Validity of Commercial Wearable Sensors

Sensors (Basel, Switzerland), 2024-07, Vol.24 (14), p.4571

2024

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Shedding light on PRAME expression in dysplastic nevi: a cohort study

Virchows Archiv : an international journal of pathology, 2024-07, Vol.485 (1), p.97-104

2024

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Animal dietary exposure in the risk assessment of contaminants in feed

EFSA journal, 2024-07, Vol.22 (7), p.e8858-n/a

2024

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Guidance on the assessment of the efficacy of feed additives

EFSA journal, 2024-07, Vol.22 (7), p.e8856-n/a

2024

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A Semi-Automatic Approach for Tree Crown Competition Indices Assessment from UAV LiDAR

Remote sensing (Basel, Switzerland), 2024-07, Vol.16 (14), p.2576

2024

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Assessment of the feed additive consisting of endo‐1,4‐beta‐xylanase (produced with Trichoderma reesei MUCL 49755), endo‐1,3(4)‐beta‐glucanase (produced with T. reesei MUCL 49754) and polygalacturonase (produced with Aspergillus fijiensis CBS 589.94) (AveMix® 02 CS) for weaned piglets for the renewal of its authorisation and for its extension of use to suckling piglets (AVEVE BV)

EFSA journal, 2024-07, Vol.22 (7), p.e8854-n/a

2024

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Urban Air Pollution Forecasting: a Machine Learning Approach leveraging Satellite Observations and Meteorological Forecasts

2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), 2024, p.421-426

2024

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Maximum Temperature Prediction Using Remote Sensing Data Via Convolutional Neural Network

2024 IEEE International Workshop on Metrology for Living Environment (MetroLivEnv), 2024, p.427-431

2024

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Consumer safety of feed additives containing selenium

EFSA journal, 2024-06, Vol.22 (6), p.e8857-n/a

2024

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Artificial Intelligence and Machine Learning tools for improving Early Warning systems of volcanic eruptions: the case of Stromboli

IEEE transactions on pattern analysis and machine intelligence, 2024-05, Vol.PP, p.1-10

2024

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Life cycle greenhouse gas emissions of retrofit electrification: Assessment for a real case study

Movement disorder phenotype in CTNNB1-syndrome: A complex but recognizable phenomenology

Assessment of the feed additive consisting of Levilactobacillus brevis DSM 16680 for all animal species for the renewal of its authorisation (Microferm Ltd.)

Safety and efficacy of a feed additive consisting of Loigolactobacillus coryniformis DSM 34345 as a silage additive for all animal species (Lactosan GmbH & Co.KG)

On the Electrochemical Growth of a Crystalline p–n Junction From Aqueous Solutions

Breathing Monitoring in Soccer: Part I—Validity of Commercial Wearable Sensors

Assessment of the feed additive consisting of l‐tyrosine for all animal species for the renewal of its authorisation (BCF Life Sciences)

Safety and efficacy of a feed additive consisting of Lactococcus lactis DSM 34262 as a silage additive for all animal species (Lactosan GmbH & Co.KG)

Shedding light on PRAME expression in dysplastic nevi: a cohort study

Animal dietary exposure in the risk assessment of contaminants in feed

Guidance on the assessment of the efficacy of feed additives

Safety and efficacy of a feed additive consisting of Lactiplantibacillus plantarum DSM 34271 as a silage additive for all animal species (Lactosan GmbH & Co.KG)

A Semi-Automatic Approach for Tree Crown Competition Indices Assessment from UAV LiDAR

Assessment of the feed additive consisting of Saccharomyces cerevisiae CNCM I‐4407 (Actisaf® Sc 47) for rabbits for fattening and non‐food producing rabbits for the renewal of its authorisation (S. I. Lesaffre)

Urban Air Pollution Forecasting: a Machine Learning Approach leveraging Satellite Observations and Meteorological Forecasts

Maximum Temperature Prediction Using Remote Sensing Data Via Convolutional Neural Network

Consumer safety of feed additives containing selenium

Artificial Intelligence and Machine Learning tools for improving Early Warning systems of volcanic eruptions: the case of Stromboli

Anti-rubella seroprevalence assessment in an adult sample population in Italy

Assessment of the feed additive consisting of Lentilactobacillus buchneri ATCC PTA‐6138 for all animal species for the renewal of its authorisation (Pioneer Hi‐Bred International, Inc.)

Assessment of the feed additive consisting of Lentilactobacillus buchneriATCC PTA-6138 for all animal species for the renewal of its authorisation (Pioneer Hi-Bred International, Inc.)

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