SPARACINO, GIOVANNI
 Distribuzione geografica
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Continente #
NA - Nord America 26.489
AS - Asia 16.281
EU - Europa 8.046
SA - Sud America 2.765
AF - Africa 2.684
OC - Oceania 265
Continente sconosciuto - Info sul continente non disponibili 135
AN - Antartide 1
Totale 56.666
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Nazione #
US - Stati Uniti d'America 25.140
SG - Singapore 5.669
CN - Cina 2.913
VN - Vietnam 2.159
BR - Brasile 1.671
HK - Hong Kong 1.591
IT - Italia 1.452
DE - Germania 840
FR - Francia 813
FI - Finlandia 695
PL - Polonia 507
IN - India 482
SE - Svezia 436
GB - Regno Unito 353
RU - Federazione Russa 353
BD - Bangladesh 281
IQ - Iraq 245
NL - Olanda 245
AR - Argentina 235
UA - Ucraina 225
TR - Turchia 210
JP - Giappone 207
PK - Pakistan 185
SA - Arabia Saudita 176
ZA - Sudafrica 170
MX - Messico 161
PH - Filippine 150
ES - Italia 147
ID - Indonesia 138
CA - Canada 134
BJ - Benin 129
EC - Ecuador 127
CO - Colombia 125
IE - Irlanda 117
UZ - Uzbekistan 113
PY - Paraguay 107
VE - Venezuela 104
CH - Svizzera 102
TH - Thailandia 100
JO - Giordania 99
MY - Malesia 99
GR - Grecia 97
MA - Marocco 97
BE - Belgio 96
TW - Taiwan 93
UY - Uruguay 93
AT - Austria 92
EG - Egitto 91
PE - Perù 89
DZ - Algeria 88
KE - Kenya 86
BY - Bielorussia 85
KR - Corea 85
AE - Emirati Arabi Uniti 83
CI - Costa d'Avorio 83
AL - Albania 82
CL - Cile 82
GA - Gabon 80
BO - Bolivia 79
BW - Botswana 79
ET - Etiopia 79
AO - Angola 78
DO - Repubblica Dominicana 78
SK - Slovacchia (Repubblica Slovacca) 78
AZ - Azerbaigian 77
IL - Israele 77
KG - Kirghizistan 76
RS - Serbia 76
IR - Iran 75
PT - Portogallo 75
TN - Tunisia 75
AU - Australia 74
RO - Romania 74
LU - Lussemburgo 73
NP - Nepal 73
HR - Croazia 71
KZ - Kazakistan 71
SI - Slovenia 70
XK - ???statistics.table.value.countryCode.XK??? 69
TT - Trinidad e Tobago 68
YT - Mayotte 68
LB - Libano 67
BG - Bulgaria 66
AM - Armenia 65
CR - Costa Rica 65
GT - Guatemala 65
LA - Repubblica Popolare Democratica del Laos 65
NO - Norvegia 65
PS - Palestinian Territory 65
SN - Senegal 65
BB - Barbados 64
CZ - Repubblica Ceca 64
HU - Ungheria 64
JM - Giamaica 64
MD - Moldavia 63
MU - Mauritius 63
CG - Congo 62
DK - Danimarca 62
NI - Nicaragua 61
HN - Honduras 60
Totale 53.635
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Città #
Singapore 3.469
Ashburn 3.039
San Jose 2.903
Fairfield 2.411
Woodbridge 1.554
Hong Kong 1.424
Ann Arbor 1.405
Houston 1.355
Chandler 1.308
Seattle 881
Wilmington 847
Cambridge 770
Beijing 682
Santa Clara 644
Ho Chi Minh City 610
Jacksonville 596
Hanoi 474
Boardman 457
Los Angeles 431
Helsinki 400
Bytom 390
Princeton 381
Munich 333
Lauterbourg 316
Padova 280
Medford 272
The Dalles 245
San Diego 244
Des Moines 233
New York 215
Dong Ket 197
Roxbury 195
São Paulo 157
Nanjing 155
Chicago 147
Cotonou 127
Guangzhou 121
Da Nang 117
Orem 117
Council Bluffs 114
Tokyo 113
Tashkent 104
Buffalo 102
Milan 101
Dublin 100
Amman 90
Baghdad 90
Haiphong 86
Montevideo 80
Abidjan 79
Libreville 78
Johannesburg 74
London 73
Amsterdam 72
Nairobi 71
Rome 71
Baku 70
Frankfurt am Main 70
Luanda 67
Bishkek 66
Addis Ababa 64
Brooklyn 64
Warsaw 64
Dakar 63
Dallas 62
Jeddah 62
Atlanta 61
Nanchang 61
Shenyang 61
Bangkok 60
Lahore 60
Managua 60
Minsk 60
Ulan Bator 59
Yerevan 58
Bridgetown 57
Chennai 57
Denver 57
Vienna 57
Vientiane 57
Bamako 55
Harare 55
Kampala 55
Panama City 55
Conakry 54
Lima 54
Nouakchott 54
Nassau 53
Montreal 52
Quito 52
Castries 51
Hefei 51
Phnom Penh 51
Pristina 51
Tianjin 51
Accra 50
Antananarivo 50
Dushanbe 50
Kinshasa 50
Riyadh 50
Totale 33.921
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Nome #
A “Slide Rule” to Adjust Insulin Dose Using Trend Arrows in Adults with Type 1 Diabetes: Test in Silico and in Real Life 382
Early hippocampal hyperexcitability in PS2APP mice: role of mutant PS2 and APP 328
A personalized and interpretable deep learning based approach to predict blood glucose concentration in type 1 diabetes 318
Hypoglycemia-induced EEG complexity changes in Type 1 diabetes assessed by fractal analysis algorithm 317
Exposure to DPP-4 inhibitors and COVID-19 among people with type 2 diabetes. A case-control study 300
AGATA: A Toolbox for Automated Glucose Data Analysis 295
A novel method for the determination of the EEG individual alpha frequency 276
Unsupervised Retrospective Detection of Pressure Induced Failures in Continuous Glucose Monitoring Sensors for T1D Management 255
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoring. 253
Explainable Deep-Learning Model Reveals Past Cardiovascular Disease in Patients with Diabetes Using Free-Form Visit Reports 251
A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements 249
Detection of compression artifacts in time-series data from continuous glucose monitoring sensors using matched filters 248
A new formula for the estimation of meal insulin bolus in type 1 diabetes therapy accounting for glucose rate of change 248
An Online Failure Detection Method of the Glucose Sensor-Insulin Pump System: Improved Overnight Safety of Type-1 Diabetic Subjects 245
Reconstructing by Deconvolution Plasma Glucose from Continuous Glucose Monitoring Sensor Data 242
A Bayesian method to estimate single-trial event-related potentials with application to the study of the P300 variability 241
A dynamic risk measure from continuous glucose monitoring data. 238
Italian Contributions to the Development of Continuous Glucose Monitoring Sensors for Diabetes Management 237
A methodology to improve estimation of stimulus-evoked hemodynamic response from fNIRS measurements 237
A multi-task learning approach for the extraction of single-trial evoked potentials 236
The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes 235
A neural network predicting the amplitude of the N2pc in individual EEG datasets 234
Retrospective Continuous-Time Blood Glucose Estimation in Free Living Conditions with a Non-Invasive Multisensor Device 233
Supervised Learning-based Detection of Pressure-induced Failures in Continuous Glucose Sensors 231
Improved long-term cardiovascular outcomes after intensive versus standard screening of diabetic complications: an observational study 231
Supervised and Unsupervised Approaches for the Real-Time Detection of Undesired Insulin Suspension Caused by Malfunctions 227
Glycaemic variability-based classification of impaired glucose tolerance vs. type 2 diabetes using continuous glucose monitoring data 226
Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentration. 225
Forecasting of glucose levels and hypoglycemic events: Head-to-head comparison of linear and nonlinear data-driven algorithms based on continuous glucose monitoring data only 223
Bayesian filtering of human brain hemodynamic activity elicited by visual short-term maintenance recorded through functional near-infrared spectroscopy (fNIRS) 222
Removal of catheter distortion in multiple indicator dilution studies: A deconvolution-based method and case studies on glucose blood-tissue exchange. 220
Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring. 220
A Bayesian approach to estimate evoked potentials 220
Algorithm and software to automatically identify latency and amplitude features of local field potentials recorded in electrophysiological investigation 219
Accurate hemodynamic response estimation by removal of stimulus-evoked superficial response in fNIRS signals 218
EEG Microstates as a Signature of Hemispheric Lateralization in Stroke 217
Diabetes and Prediabetes Classification Using Glycemic Variability Indices From Continuous Glucose Monitoring Data 215
“Algorithmically Smart” Continuous Glucose Sensor Concept for Diabetes Monitoring 215
A wavelet methodology for EEG time-frequency analysis in a time discrimination task 214
Real-Time Improvement of Continuous Glucose-Monitoring Accuracy - The smart sensor concept 214
Detecting Undiagnosed Diabetes: Proof-of-Concept Based on the Health-Information Exchange System of the Veneto Region (North-East Italy) 214
A new dynamic index of insulin sensitivity 213
Type 1 diabetes patient decision simulator for in silico testing safety and effectiveness of insulin treatments 213
High-density EEG sleep correlates of cognitive and affective impairment at 12-month follow-up after COVID-19 212
Deep-learning-based natural-language-processing models to identify cardiovascular disease hospitalisations of patients with diabetes from routine visits' text 210
Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system. 210
Electroencephalography in patients with cirrhosis. 209
A Bayesian methodology to estimate single-trial ERPs with application to the study of the P300 variability in cirrhosis 208
Enhancing the accuracy of subcutaneous glucose sensors: a real-time deconvolution-based approach. 208
A Deep-Learning Based Algorithm for the Management of Hyperglycemia in Type 1 Diabetes Therapy 208
Risk of hypoglycemia in type 1 diabetes management: An in-silico sensitivity analysis to assess and rank the quantitative impact of different behavioral factors 207
Continuous glucose monitoring and hypo/hyperglycaemia prediction 207
A tunable local field potentials computer simulator to assess minimal requirements for phase-amplitude cross-frequency-coupling estimation 207
A Real-Time Continuous Glucose Monitoring Based Algorithm to Trigger Hypotreatments to Prevent/Mitigate Hypoglycemic Events 207
An EEGLAB plugin to analyze individual EEG alpha rhythms using the "channel reactivity-based method 204
Dynamic Bayesian Networks and Transfer Learning Enable the Development of Deep Sequence-Based Models on Small-Sample Data 203
A Compressive Sensing Spectral Model for fNIRS Haemodynamic Response De-Noising 203
Modeling Carbohydrate Counting Error in Type 1 Diabetes Management 203
A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information. 202
A Time-Frequency Analysis for the Online Detection of the N2pc Event-Related Potential (ERP) Component in Individual EEG Datasets 202
Insight into the relationship between brain/behavioral speed and variability in patients with minimal hepatic encephalopathy 201
Physical Activity Measured by Physical Activity Monitoring System Correlates with Glucose Trends Reconstructed from Continuous Glucose Monitoring 200
Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications 200
Method for the deconvolution of auditory steady-state responses 200
Non-Invasive Continuous Glucose Monitoring with Multi-Sensor Systems: A Monte Carlo-Based Methodology for Assessing Calibration Robustness 199
Wearable continuous glucose monitoring sensors: A revolution in diabetes treatment 199
Development of a computer simulator of the visual N2 event-related potential component for the study of cognitive processes 199
Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices 198
Real-time detection of glucose sensor and insulin pump faults in an artificial pancreas 197
Impaired hemodynamic response to meal intake in insulin-resistant subjects: an impedance cardiography approach 197
Sleep spindles changes in people with previous COVID-19 infection 196
Reduction of Number and Duration of Hypoglycemic Events by Glucose Prediction Methods: A Proof-of-Concept In Silico Study 196
Glucose concentration can be predicted ahead in time from continuous glucose monitoring sensor time-series 195
Smart Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues 195
Electrocochleography potentials evoked from condensation and rarefaction clicks independently derived by a new numerical filtering approach 194
Reconstruction of Glucose in Plasma from Interstitial Fluid Continuous Glucose Monitoring Data: Role of Sensor Calibration. 194
Estimation of endogenous glucose production after a glucose perturbation by nonparametric stochastic deconvolution. 194
Continuous Glucose Monitoring: Current Use in Diabetes Management and Possible Future Applications 194
Minimal model S(I)=0 problem in NIDDM subjects: nonzero Bayesian estimates with credible confidence intervals 194
Bayesian identification of a population compartmental model of C-peptide kinetics 192
Computer data simulator to assess the accuracy of estimates of visual N2/N2pc event-related potential components 192
Detection of Hypoglycemia Using Measures of EEG Complexity in Type 1 Diabetes Patients 192
A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring 191
Electroencephalographic analysis for the assessment of hepatic encephalopathy: Comparison of non-parametric and parametric spectral estimation techniques 191
A Bayesian Framework to Identify Type 1 Diabetes Physiological Models Using Easily Accessible Patient Data 191
An Integrated Mobile Platform for Automated Data Collection and Real-Time Patient Monitoring in Diabetes Clinical Trials 191
Handling non-negativity in deconvolution of physiological signals: a nonlinear stochastic approach 189
Exposure to dipeptidyl-peptidase 4 inhibitors and the risk of pneumonia among people with type 2 diabetes: Retrospective cohort study and meta-analysis 189
Variability of EEG Theta Power Modulation in Type 1 Diabetics Increases during Hypo-glycaemia 188
A new real-time algorithm for preventive hypotreatments generation allows reducing frequency and duration of hypoglycemia 188
A new index to optimally design and compare continuous glucose monitoring glucose prediction algorithms 187
Hemodynamics assessed via approximate entropy analysis of impedance cardiography time series: effect of metabolic syndrome 187
Physical Activity Measured by PAMS device Correlates with First- and Second-Order Glucose Concentration Derivatives 187
Linear Model Identification for Personalized Prediction and Control in Diabetes 187
Enhanced accuracy of continuous glucose monitoring by online extended Kalman filtering 186
Detecting failures of the glucose sensor-insulin pump system: improved overnight safety monitoring for Type-1 diabetes. 186
Preprocessing by a Bayesian Single-Trial Event-Related Potential Estimation Technique Allows Feasibility of an Assistive Single-Channel P300-Based Brain-Computer Interface 186
An analytical approach to determine the optimal duration of continuous glucose monitoring data required to reliably estimate time in hypoglycemia 186
Assessment of EEG Changes During Hypoglycemia in Type 1 Diabetic Subjects 185
From two to one per day calibration of Dexcom G4 platinum by a time-varying day-specific Bayesian prior 185
Totale 21.703
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Categoria #
all - tutte 159.398
article - articoli 84.485
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 2.650
selected - selezionate 0
volume - volumi 4.352
Totale 250.885
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021828 0 0 0 0 0 0 0 0 0 0 449 379
2021/20223.773 91 460 393 151 190 339 198 509 217 72 310 843
2022/20232.903 617 234 93 232 491 393 21 215 345 41 167 54
2023/20241.823 141 303 225 152 132 134 113 110 39 75 192 207
2024/20258.036 59 746 333 304 1.099 170 502 715 714 301 1.275 1.818
2025/202629.568 1.044 2.551 3.885 4.440 3.258 1.335 3.801 2.664 3.462 2.056 1.072 0
Totale 57.094