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Your search keyword '"Federico Bianchi"' showing total 7 results
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7 results on '"Federico Bianchi"'

1. Surgical and radiosurgical treatment of hypothalamic hamartoma: The Italian experience between 2011 and 2021

Author

Michele Rizzi, Alessandro Consales, Irene Tramacere, Alessandro De Benedictis, Antonella Bua, Nicola Specchio, Luca De Palma, Erica Cognolato, Lino Nobili, Domenico Tortora, Carmen Barba, Marianna Pommella, Flavio Giordano, Chiara Pastori, Marcello Marchetti, Rita Garbelli, Mino Zucchelli, Matteo Martinoni, Lorenzo Ferri, Matia Martucci, Gianpiero Tamburrini, Federico Bianchi, Claudia Passamonti, Giancarlo Di Gennaro, Flavio Villani, Laura Tassi, and Carlo Marras

Subjects
endoscopic neurosurgery, epilepsy surgery, hypothalamic hamartoma, laser interstitial thermal therapy, stereotactic radiosurgery, Neurology. Diseases of the nervous system, RC346-429
Abstract

Abstract Objective To investigate the Italian experience on the surgical and radiosurgical treatment of drug‐resistant epilepsy due to hypothalamic hamartoma (HH) in the period 2011–2021 in six Italian epilepsy surgery centers, and to compare safety and efficacy profiles of the different techniques. Methods We collected pseudo‐anonymized patient's data with at least 12 months of follow‐up. Surgical outcome was defined according to Engel classification of seizure outcome. Univariate analysis was performed to assess the risk of post‐operative seizures, categorized in dichotomous variable as favorable and unfavorable; explanatory variables were considered. Mann–Whitney or Chi‐squared test were used to assess the presence of an association between variables (p

Published
2024
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2. Sulfur Dioxide Transported From the Residual Layer Drives Atmospheric Nucleation During Haze Periods in Beijing

Author

Yonghong Wang, Yongjing Ma, Chao Yan, Lei Yao, Runlong Cai, Shuying Li, Zhuohui Lin, Xiujuan Zhao, Rujing Yin, Chenjuan Deng, Juha Kangasluoma, Xu‐Cheng He, Simo Hakala, Xiaolong Fan, Siyu Chen, Qingxin Ma, Veli‐Matti Kerminen, Tuukka Petäjä, Jinyuan Xin, Lin Wang, Baoxian Liu, Weigang Wang, Maofa Ge, Jingkun Jiang, Yongchun Liu, Federico Bianchi, Biwu Chu, Neil M. Donahue, Scot T. Martin, Hong He, and Markku Kulmala

Subjects
new particle formation, residual layer, haze, sulfuric acid dimer, Geophysics. Cosmic physics, QC801-809
Abstract

Abstract New particle formation (NPF) is a global phenomenon that significantly influences climate. NPF also contributes to haze, with pronounced negative impacts on human health. Theory and observations both show that nucleation is favored during clean days and inhibited during haze episodes due to a high pre‐existing condensation sink (CS). Here we show that the surprising occurrence of NPF during haze days in Beijing is associated with a high concentration of sulfuric acid dimers. With both field observations and model simulations, we demonstrate that downward mixing of sulfur dioxide (SO2) from the residual layer aloft enhances ground level SO2, which in turn elevates sulfuric acid dimer after rapid SO2 oxidation in the polluted air. Our results address a key gap between the source of SO2 and its atmospheric oxidation products during haze conditions in a megacity, Beijing, providing a missing link in a complete chain describing NPF in the polluted atmosphere.

Published
2023
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3. Technological, nutritional and sensory properties of pasta fortified with agro‐industrial by‐products: a review

Author

Matteo Bordiga, Charles S. Brennan, Barbara Simonato, Giada Rainero, Federico Bianchi, and Roberta Tolve

Subjects
pasta, polyphenols, bioactive compounds, Chemistry, Circular economy, circular economy, Sensory system, Agro-industrial by-product, bioactive compounds, circular economy, fibre, pasta, phytochemicals, polyphenols, phytochemicals, Industrial and Manufacturing Engineering, Agro-industrial by-product, fibre, Food science, Food Science
Published
2021
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4. Rapid growth and high cloud forming potential of anthropogenic sulfate aerosol during the Covid lockdown in India: Changes in the production and properties of cloud con-densation nuclei (CCN) during heavily polluted compared to relatively cleaner condi-tions

Author

Aishwarya Singh, Subha S Raj, Upasana Panda, Snehitha Kommula, Christi Jose, Tianjia Liu, Shan Huang, Basudev Swain, Mira L. Pöhlker, Ernesto Reyes Villegas, Narendra Ojha, Aditya Vaishya, Alessandro Bigi, Ravikrishna R, Qiao Zhu, Liuhua Shi, James Allen, Scot T. Martin, Gordon McFiggans, Meinrat O. Andreae, Ulrich Poschl, Hugh Coe, Federico Bianchi, Hang Su, Vijay P. Kanawade, Pengfei Liu, and Sachin S Gunthe

Abstract

Covid lockdown presented an important opportunity to study relatively cleaner conditions in India. The complex factors of power production, industry, and transportation could be more carefully dissected because of the extreme reduction in the influence of the latter two emission sources. Measurements of cloud condensation nuclei (CCN) activity and other chemical properties of atmospheric aerosols showed that newly formed aerosol particles were produced in the SO2 plume from a large coal-fired power plant, contrary to normal conditions of heavy pollution. The sulfate-rich particles had high CCN activity and number concentration, indicating high cloud-forming potential. Examining the sensitivity of CCN properties under relatively clean conditions over India provides important new constraints on the perturbations of past and future climate forcing by anthropogenic emissions. Because most sensitive regime of aerosol climate forcing on cloud development is the midpoint of relatively clean conditions afforded by the Covid lockdown between background and polluted conditions.

Published
2022
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7. Words with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings

Author

Giovanni Cassani, Marco Marelli, Federico Bianchi, Cognitive Science & AI, Cassani, G, Bianchi, F, and Marelli, M

Subjects
Relation (database), Computer science, Language change, Cognitive Neuroscience, Experimental and Cognitive Psychology, Concreteness, Artificial Intelligence, Humans, Learning, Speech, Computational analysis, Computational psycholinguistics, Language, Psycholinguistics, Regular Article, Part of speech, Temporally aligned word embedding, Linguistics, Age of acquisition, Variation (linguistics), Age of Acquisition, Temporally aligned word embeddings, Computational psycholinguistic, Word (computer architecture), Regular Articles
Abstract

In this study, we use temporally aligned word embeddings and a large diachronic corpus of English to quantify language change in a data‐driven, scalable way, which is grounded in language use. We show a unique and reliable relation between measures of language change and age of acquisition (AoA) while controlling for frequency, contextual diversity, concreteness, length, dominant part of speech, orthographic neighborhood density, and diachronic frequency variation. We analyze measures of language change tackling both the change in lexical representations and the change in the relation between lexical representations and the words with the most similar usage patterns, showing that they capture different aspects of language change. Our results show a unique relation between language change and AoA, which is stronger when considering neighborhood‐level measures of language change: Words with more coherent diachronic usage patterns tend to be acquired earlier. The results support theories positing a link between ontogenetic and ethnogenetic processes in language.

Published
2021
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