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Article: Effect of Bacteria Inoculation on Colonization of Roots by

Giorgi, Veronica / Amicucci, Antonella / Landi, Lucia / Castelli, Ivan / Romanazzi, Gianfranco / Peroni, Cristiano / Ranocchi, Bianca / Zambonelli, Alessandra / Neri, Davide

Plants (Basel, Switzerland)

2024 Volume 13, Issue 2

Abstract: ... Tuber ... ...

Abstract	Tuber melanosporum
Language	English
Publishing date	2024-01-13
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2704341-1
ISSN	2223-7747
ISSN	2223-7747
DOI	10.3390/plants13020224
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Article ; Online: A year of pandemic: Levels, changes and validity of well-being data from Twitter. Evidence from ten countries.

Sarracino, Francesco / Greyling, Talita / O'Connor, Kelsey / Peroni, Chiara / Rossouw, Stephanié

PloS one

2023 Volume 18, Issue 2, Page(s) e0275028

Abstract: We use daily happiness scores (Gross National Happiness (GNH)) to illustrate how happiness changed throughout 2020 in ten countries across Europe and the Southern hemisphere. More frequently and regularly available than survey data, the GNH reveals how ... ...

Abstract	We use daily happiness scores (Gross National Happiness (GNH)) to illustrate how happiness changed throughout 2020 in ten countries across Europe and the Southern hemisphere. More frequently and regularly available than survey data, the GNH reveals how happiness sharply declined at the onset of the pandemic and lockdown, quickly recovered, and then trended downward throughout much of the year in Europe. GNH is derived by applying sentiment and emotion analysis-based on Natural Language Processing using machine learning algorithms-to Twitter posts (tweets). Using a similar approach, we generate another 11 variables: eight emotions and three new context-specific variables, in particular: trust in national institutions, sadness in relation to loneliness, and fear concerning the economy. Given the novelty of the dataset, we use multiple methods to assess validity. We also assess the correlates of GNH. The results indicate that GNH is negatively correlated with new COVID-19 cases, containment policies, and disgust and positively correlated with staying at home, surprise, and generalised trust. Altogether the analyses indicate tools based on Big Data, such as the GNH, offer relevant data that often fill information gaps and can valuably supplement traditional tools. In this case, the GNH results suggest that both the severity of the pandemic and containment policies negatively correlated with happiness.
MeSH term(s)	Humans ; COVID-19/epidemiology ; Pandemics ; Social Media ; Communicable Disease Control ; Emotions
Language	English
Publishing date	2023-02-10
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0275028
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Article ; Online: One in Three Luxembourg Residents Report their Mental Health Declined during the COVID-19 Crisis.

O'Connor, Kelsey J / Peroni, Chiara

International journal of community well-being

2020 Volume 4, Issue 3, Page(s) 345–351

Abstract: COVID-19 has had unprecedented effects on people around the world, causing even the best performing communities to live in uncertainty for the future. How are people coping? We - the general public, the academic community, and policy makers - need ... ...

Abstract	COVID-19 has had unprecedented effects on people around the world, causing even the best performing communities to live in uncertainty for the future. How are people coping? We - the general public, the academic community, and policy makers - need answers. To that end we analyse novel data for Luxembourg, finding one third of residents report their mental health declined during lockdown and young adults (ages 18-44) fared the worst. The most important contributors observed are physical health, income, and employment characteristics, such as working from home, which people seemed to enjoy. To limit collateral damage on mental health, various tools are available, which we briefly discuss.
Language	English
Publishing date	2020-11-18
Publishing country	Switzerland
Document type	Journal Article
ISSN	2524-5309
ISSN (online)	2524-5309
DOI	10.1007/s42413-020-00093-4
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Article ; Online: Acromioclavicular osteoarthritis and shoulder pain: a review of the role of ultrasonography.

Precerutti, Matteo / Formica, Manuela / Bonardi, Mara / Peroni, Caterina / Calciati, Francesco

Journal of ultrasound

2020 Volume 23, Issue 3, Page(s) 317–325

Abstract: Acromioclavicular joint osteoarthritis is often a cause of shoulder pain. On the other hand, imaging frequently leads to such a diagnosis, especially in elderly patients, and some authors believe it to have a poor correlation with the clinical picture. ... ...

Abstract	Acromioclavicular joint osteoarthritis is often a cause of shoulder pain. On the other hand, imaging frequently leads to such a diagnosis, especially in elderly patients, and some authors believe it to have a poor correlation with the clinical picture. It is, however, widely accepted that such a condition can be the cause of rotator cuff impingement. In the case of shoulder pain, it is important to distinguish between symptomatic acromioclavicular osteoarthritis and other causes, especially rotator cuff pathology, which is more common. Sometimes, the clinical picture does not allow for differential diagnosis; in these cases, the injection of a local anesthetic into the acromioclavicular joint or into the subacromial bursa can be of great help. Ultrasonography can easily detect acromioclavicular osteoarthritis and rotator cuff pathology, and it is highly effective in guiding the articular or bursal injection of a local anesthetic to assess the origin of the pain. In addition, in conservative therapy, ultrasonography can guide the articular or bursal injection of corticosteroids and hyaluronic acid.
MeSH term(s)	Acromioclavicular Joint/diagnostic imaging ; Humans ; Osteoarthritis/complications ; Osteoarthritis/diagnostic imaging ; Shoulder Pain/etiology ; Ultrasonography/methods
Language	English
Publishing date	2020-07-15
Publishing country	Italy
Document type	Journal Article ; Review
ZDB-ID	2365426-0
ISSN	1876-7931 ; 1971-3495
ISSN (online)	1876-7931
ISSN	1971-3495
DOI	10.1007/s40477-020-00498-z
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Article ; Online: Electrocardiogram-based index for the assessment of drug-induced hERG potassium channel block.

Burattini, Laura / Sbrollini, Agnese / Scinocca, Laura / Peroni, Chiara / Marcantoni, Ilaria / Morettini, Micaela

Journal of electrocardiology

2021 Volume 69S, Page(s) 55–60

Abstract: Introduction: Drug-induced block of the hERG potassium channel could predispose to torsade de pointes, depending on occurrence of concomitant blocks of the calcium and/or sodium channels. Since the hERG potassium channel block affects cardiac ... ...

Abstract	Introduction: Drug-induced block of the hERG potassium channel could predispose to torsade de pointes, depending on occurrence of concomitant blocks of the calcium and/or sodium channels. Since the hERG potassium channel block affects cardiac repolarization, the aim of this study was to propose a new reliable index for non-invasive assessment of drug-induced hERG potassium channel block based on electrocardiographic T-wave features. Methods: ERD Results: Regression coefficients values, obtained on the training dataset, were: a = -561.0 s Conclusion: B
MeSH term(s)	ERG1 Potassium Channel ; Electrocardiography ; Ether-A-Go-Go Potassium Channels ; Humans ; Pharmaceutical Preparations ; Potassium Channel Blockers/adverse effects ; Verapamil
Chemical Substances	ERG1 Potassium Channel ; Ether-A-Go-Go Potassium Channels ; Pharmaceutical Preparations ; Potassium Channel Blockers ; Verapamil (CJ0O37KU29)
Language	English
Publishing date	2021-10-24
Publishing country	United States
Document type	Journal Article
ZDB-ID	410286-1
ISSN	1532-8430 ; 0022-0736
ISSN (online)	1532-8430
ISSN	0022-0736
DOI	10.1016/j.jelectrocard.2021.10.005
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Article ; Online: One in Three Luxembourg Residents Report their Mental Health Declined during the COVID-19 Crisis

O’Connor, Kelsey J. / Peroni, Chiara

Int

Abstract: COVID-19 has had unprecedented effects on people around the world, causing even the best performing communities to live in uncertainty for the future. How are people coping? We – the general public, the academic community, and policy makers – need ... ...

Abstract	COVID-19 has had unprecedented effects on people around the world, causing even the best performing communities to live in uncertainty for the future. How are people coping? We – the general public, the academic community, and policy makers – need answers. To that end we analyse novel data for Luxembourg, finding one third of residents report their mental health declined during lockdown and young adults (ages 18–44) fared the worst. The most important contributors observed are physical health, income, and employment characteristics, such as working from home, which people seemed to enjoy. To limit collateral damage on mental health, various tools are available, which we briefly discuss.
Keywords	covid19
Publisher	PMC
Document type	Article ; Online
DOI	10.1007/s42413-020-00093-4
Database	COVID19

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Article ; Online: Th1- and Th17-Related Cytokines in Venous and Arterial Blood of Sclerodermic Patients with and without Digital Ulcers.

Nicola, S / Fornero, M / Fusaro, E / Peroni, C / Priora, M / Rolla, G / Bucca, C / Brussino, L

BioMed research international

2019 Volume 2019, Page(s) 7908793

Abstract: The earliest clinical manifestation of SSc is usually Raynaud's phenomenon, a small-arteries vasospasm driven by vascular tone dysregulation and microcirculatory abnormalities, resulting in digital ulcers (DU) in up to 50% of patients. Many cytokines as ... ...

Abstract	The earliest clinical manifestation of SSc is usually Raynaud's phenomenon, a small-arteries vasospasm driven by vascular tone dysregulation and microcirculatory abnormalities, resulting in digital ulcers (DU) in up to 50% of patients. Many cytokines as well as growth factors have been shown to play a role in promoting vascular smooth muscle cell proliferation and fibroblast activation, leading to ischemic damage as well as skin fibrosis. We aim to investigate a possible difference in venous and arterial blood levels of many cytokines (Th1- and Th17-related), GM-CSF, and endothelin-1 (ET1) in patients with and without DU. In the same patients, the correlations between capillary damage, evaluated by nailfold videocapillaroscopy (NVC), extension of skin fibrosis, calculated by modified Rodnan skin score (mRSS), and cytokines, ET-1, and GM-CSF levels were also measured. Patients with DU showed venous levels of IL-1
MeSH term(s)	Adult ; Aged ; Aged, 80 and over ; Arteries/metabolism ; Capillaries/metabolism ; Cytokines/blood ; Cytokines/metabolism ; Endothelin-1/metabolism ; Female ; Fibrosis/metabolism ; Humans ; Male ; Microcirculation/physiology ; Microscopic Angioscopy/methods ; Middle Aged ; Raynaud Disease/blood ; Raynaud Disease/metabolism ; Skin/metabolism ; Skin Ulcer/blood ; Skin Ulcer/metabolism ; Th1 Cells/metabolism ; Th17 Cells/metabolism ; Tumor Necrosis Factor-alpha/metabolism ; Veins/metabolism
Chemical Substances	Cytokines ; Endothelin-1 ; Tumor Necrosis Factor-alpha
Language	English
Publishing date	2019-10-07
Publishing country	United States
Document type	Journal Article
ZDB-ID	2698540-8
ISSN	2314-6141 ; 2314-6133
ISSN (online)	2314-6141
ISSN	2314-6133
DOI	10.1155/2019/7908793
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Article ; Online: Classification of drug-induced hERG potassium-channel block from electrocardiographic T-wave features using artificial neural networks.

Morettini, Micaela / Peroni, Chiara / Sbrollini, Agnese / Marcantoni, Ilaria / Burattini, Laura

Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc

2019 Volume 24, Issue 6, Page(s) e12679

Abstract: Background: Human ether-à-go-go-related gene (hERG) potassium-channel block represents a harmful side effect of drug therapy that may cause torsade de pointes (TdP). Analysis of ventricular repolarization through electrocardiographic T-wave features ... ...

Abstract	Background: Human ether-à-go-go-related gene (hERG) potassium-channel block represents a harmful side effect of drug therapy that may cause torsade de pointes (TdP). Analysis of ventricular repolarization through electrocardiographic T-wave features represents a noninvasive way to accurately evaluate the TdP risk in drug-safety studies. This study proposes an artificial neural network (ANN) for noninvasive electrocardiography-based classification of the hERG potassium-channel block. Methods: The data were taken from the "ECG Effects of Ranolazine, Dofetilide, Verapamil, and Quinidine in Healthy Subjects" Physionet database; they consisted of median vector magnitude (VM) beats of 22 healthy subjects receiving a single 500 μg dose of dofetilide. Fourteen VM beats were considered for each subject, relative to time-points ranging from 0.5 hr before to 14.0 hr after dofetilide administration. For each VM, changes in two indexes accounting for the early and the late phases of repolarization, ΔERD Results: Test set area under the receiver operating characteristic was 0.91; sensitivity, specificity, accuracy, and precision were 0.93, 0.83, 0.92, and 0.96, respectively. Conclusion: OANN represents a reliable tool for noninvasive assessment of the hERG potassium-channel block.
MeSH term(s)	Electrocardiography/methods ; Ether-A-Go-Go Potassium Channels/drug effects ; Humans ; Neural Networks, Computer ; Phenethylamines/administration & dosage ; Potassium Channel Blockers/administration & dosage ; Sulfonamides/administration & dosage
Chemical Substances	Ether-A-Go-Go Potassium Channels ; Phenethylamines ; Potassium Channel Blockers ; Sulfonamides ; dofetilide (R4Z9X1N2ND)
Language	English
Publishing date	2019-07-26
Publishing country	United States
Document type	Journal Article
ZDB-ID	1325530-7
ISSN	1542-474X ; 1082-720X
ISSN (online)	1542-474X
ISSN	1082-720X
DOI	10.1111/anec.12679
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Article ; Online: A non-parametric investigation of risk premia

Peroni, Chiara

Studies in nonlinear dynamics and econometrics : SNDE : quarterly publ. electronically on the internet Vol. 13, No. 4 , p. 1-50

2009 Volume 13, Issue 4, Page(s) 1–50

Author's details	Chiara Peroni
Language	English
Size	Online-Ressource, graph. Darst.
Publisher	De Gruyter
Publishing place	Berlin
Document type	Article ; Online
Note	IMD-Felder maschinell generiert
ZDB-ID	1385261-9
ISSN	1558-3708 ; 1081-1826
ISSN (online)	1558-3708
ISSN	1081-1826
DOI	10.2202/1558-3708.1617
Database	ECONomics Information System

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Article ; Online: Large scale validation of the M5L lung CAD on heterogeneous CT datasets.

Torres, E Lopez / Fiorina, E / Pennazio, F / Peroni, C / Saletta, M / Camarlinghi, N / Fantacci, M E / Cerello, P

Medical physics

2015 Volume 42, Issue 4, Page(s) 1477–1489

Abstract: Purpose: M5L, a fully automated computer-aided detection (CAD) system for the detection and segmentation of lung nodules in thoracic computed tomography (CT), is presented and validated on several image datasets.: Methods: M5L is the combination of ... ...

Abstract	Purpose: M5L, a fully automated computer-aided detection (CAD) system for the detection and segmentation of lung nodules in thoracic computed tomography (CT), is presented and validated on several image datasets. Methods: M5L is the combination of two independent subsystems, based on the Channeler Ant Model as a segmentation tool [lung channeler ant model (lungCAM)] and on the voxel-based neural approach. The lungCAM was upgraded with a scan equalization module and a new procedure to recover the nodules connected to other lung structures; its classification module, which makes use of a feed-forward neural network, is based of a small number of features (13), so as to minimize the risk of lacking generalization, which could be possible given the large difference between the size of the training and testing datasets, which contain 94 and 1019 CTs, respectively. The lungCAM (standalone) and M5L (combined) performance was extensively tested on 1043 CT scans from three independent datasets, including a detailed analysis of the full Lung Image Database Consortium/Image Database Resource Initiative database, which is not yet found in literature. Results: The lungCAM and M5L performance is consistent across the databases, with a sensitivity of about 70% and 80%, respectively, at eight false positive findings per scan, despite the variable annotation criteria and acquisition and reconstruction conditions. A reduced sensitivity is found for subtle nodules and ground glass opacities (GGO) structures. A comparison with other CAD systems is also presented. Conclusions: The M5L performance on a large and heterogeneous dataset is stable and satisfactory, although the development of a dedicated module for GGOs detection could further improve it, as well as an iterative optimization of the training procedure. The main aim of the present study was accomplished: M5L results do not deteriorate when increasing the dataset size, making it a candidate for supporting radiologists on large scale screenings and clinical programs.
MeSH term(s)	Algorithms ; Databases, Factual ; Datasets as Topic ; False Positive Reactions ; Humans ; Lung/anatomy & histology ; Lung/diagnostic imaging ; Lung/pathology ; Lung Neoplasms/diagnostic imaging ; Lung Neoplasms/pathology ; Neural Networks (Computer) ; Pattern Recognition, Automated/methods ; ROC Curve ; Sensitivity and Specificity ; Tomography, X-Ray Computed/methods
Language	English
Publishing date	2015-04
Publishing country	United States
Document type	Journal Article ; Multicenter Study ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Validation Studies
ZDB-ID	188780-4
ISSN	2473-4209 ; 0094-2405
ISSN (online)	2473-4209
ISSN	0094-2405
DOI	10.1118/1.4907970
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