83 research outputs found

    Fusion of fingerprint presentation attacks detection and matching: a real approach from the LivDet perspective

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    The liveness detection ability is explicitly required for current personal verification systems in many security applications. As a matter of fact, the project of any biometric verification system cannot ignore the vulnerability to spoofing or presentation attacks (PAs), which must be addressed by effective countermeasures from the beginning of the design process. However, despite significant improvements, especially by adopting deep learning approaches to fingerprint Presentation Attack Detectors (PADs), current research did not state much about their effectiveness when embedded in fingerprint verification systems. We believe that the lack of works is explained by the lack of instruments to investigate the problem, that is, modelling the cause-effect relationships when two systems (spoof detection and matching) with non-zero error rates are integrated. To solve this lack of investigations in the literature, we present in this PhD thesis a novel performance simulation model based on the probabilistic relationships between the Receiver Operating Characteristics (ROC) of the two systems when implemented sequentially. As a matter of fact, this is the most straightforward, flexible, and widespread approach. We carry out simulations on the PAD algorithms’ ROCs submitted to the editions of LivDet 2017-2019, the NIST Bozorth3, and the top-level VeriFinger 12.0 matchers. With the help of this simulator, the overall system performance can be predicted before actual implementation, thus simplifying the process of setting the best trade-off among error rates. In the second part of this thesis, we exploit this model to define a practical evaluation criterion to assess whether operational points of the PAD exist that do not alter the expected or previous performance given by the verification system alone. Experimental simulations coupled with the theoretical expectations confirm that this trade-off allows a complete view of the sequential embedding potentials worthy of being extended to other integration approaches

    LivDet in Action - Fingerprint Liveness Detection Competition 2019

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    The International Fingerprint liveness Detection Competition (LivDet) is an open and well-acknowledged meeting point of academies and private companies that deal with the problem of distinguishing images coming from reproductions of fingerprints made of artificial materials and images relative to real fingerprints. In this edition of LivDet we invited the competitors to propose integrated algorithms with matching systems. The goal was to investigate at which extent this integration impact on the whole performance. Twelve algorithms were submitted to the competition, eight of which worked on integrated systems.Comment: Preprint version of a paper accepted at ICB 201

    Cost analysis of GER-induced asthma: A controlled study vs. atopic asthma of comparable severity

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    SummaryBronchial asthma is a costly disease: while the role of pharmaceutical strategies was greatly emphasised in order to alleviate its economic burden, the aetiological approach to asthma has received much less attention from this point of view. The impact of gastro-oesophageal reflux (GER)-related asthma was assessed in comparison to atopic asthma in 262 matched patients, and the corresponding direct and indirect annual costs calculated. All subjects were screened by means of a 95-item self-questionnaire. The overall resource utilisation was calculated for the last 12 months. Drug-induced annual costs were €290.4 (interquartile range—iqr 32.8) in atopic and €438.4 (iqr 27.8) in GER-related asthma (p<0.001); expenditure for medical consultations and diagnostics were €166.1 (iqr 14.8) vs. €71.6 (iqr 11.0) (p<0.001), and €338.4 (20.0) vs. 186.9 (iqr 26.5) (p<0.001), respectively. Direct costs due to hospital admissions and indirect costs due to absenteeism were also higher in GER-related asthmatics: 2.201.7±90.0 vs. €567.1±11.0 (p<0.001), and €748.7±94.7 vs. €103.6±33.9 (p<0.001), respectively. The total annual cost per patient was €1246.7 (iqr 1979.6) in atopic and €3967.1 (iqr 3751.5) in GER-related asthma, p<0.001. In conclusion, GER-induced asthma has a more relevant economic impact on healthcare resources than atopic asthma. Although further studies are needed, present data tend to demonstrate that when facing difficult asthma (GER-related asthma in this case), the aetiological assessment of the disease plays a critical role in optimising the approach to patients’ needs

    Biliary pancreatic diversion and laparoscopic adjustable gastric banding in morbid obesity: their long-term effects on metabolic syndrome and on cardiovascular parameters

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    <p>Abstract</p> <p>Background</p> <p>Bariatric surgery is able to improve glucose and lipid metabolism, and cardiovascular function in morbid obesity. Aim of this study was to compare the long-term effects of malabsorptive (biliary pancreatic diversion, BPD), and restrictive (laparoscopic gastric banding, LAGB) procedures on metabolic and cardiovascular parameters, as well as on metabolic syndrome in morbidly obese patients.</p> <p>Methods</p> <p>170 patients studied between 1989 and 2001 were called back after a mean period of 65 months. 138 patients undergoing BPD (n = 23) or LAGB (n = 78), and control patients (refusing surgery and treated with diet, n = 37) were analysed for body mass index (BMI), blood glucose, cholesterol, and triglycerides, blood pressure, heart rate, and ECG indexes (QTc, Cornell voltage-duration product, and rate-pressure-product).</p> <p>Results</p> <p>After a mean 65 months period, surgery was more effective than diet on all items under evaluation; diabetes, hypertension, and metabolic syndrome disappeared more in surgery than in control patients, and new cases appeared only in controls. BPD was more effective than LAGB on BMI, on almost all cardiovascular parameters, and on cholesterol, not on triglyceride and blood glucose. Disappearance of diabetes, hypertension, and metabolic syndrome was similar with BPD and with LAGB, and no new cases were observed.</p> <p>Conclusion</p> <p>These data indicate that BPD, likely due to a greater BMI decrease, is more effective than LAGB in improving cardiovascular parameters, and similar to LAGB on metabolic parameters, in obese patients. The greater effect on cholesterol levels is probably due to the different mechanism of action.</p

    Normative growth charts for Shwachman-Diamond syndrome from Italian cohort of 0-8 years old

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    Shwachman-Diamond syndrome (SDS) is a rare autosomal recessive disorder. Its predominant manifestations include exocrine pancreatic insufficiency, bone marrow failure and skeletal abnormalities. Patients frequently present failure to thrive and susceptibility to short stature. Average birth weight is at the 25th percentile; by the first birthday, &gt;50% of patients drop below the third percentile for height and weight.The study aims at estimating the growth charts for patients affected by SDS in order to give a reference tool helpful for medical care and growth surveillance through the first 8 years of patient's life

    Fingerprint Presentation Attacks: Tackling the Ongoing Arms Race in Biometric Authentication

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    The widespread use of Automated Fingerprint Identification Systems (AFIS) in consumer electronics opens for the development of advanced presentation attacks, i.e. procedures designed to bypass an AFIS using a forged fingerprint. As a consequence, AFIS are often equipped with a fingerprint presentation attack detection (FPAD) module, to recognize live fingerprints from fake replicas, in order to both minimize the risk of unauthorized access and avoid pointless computations. The ongoing arms race between attackers and detector designers demands a comprehensive understanding of both the defender’s and attacker’s perspectives to develop robust and efficient FPAD systems. This paper proposes a dual-perspective approach to FPAD, which encompasses the presentation of a new technique for carrying out presentation attacks starting from perturbed samples with adversarial techniques and the presentation of a new detection technique based on an adversarial data augmentation strategy. In this case, attack and defence are based on the same assumptions demonstrating that this dual research approach can be exploited to enhance the overall security of fingerprint recognition systems against spoofing attacks

    Leveraging Artificial Intelligence to Fight (Cyber)Bullying for Human Well-being: The BullyBuster Project

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    Bullying and cyberbullying are phenomena which, due to their growing diffusion, have become a real social emergency. In this context, artificial intelligence can be a powerful weapon to identify episodes of violence and fight bullying both in the virtual and in the real world. Through machine learning, it is possible to detect the language patterns used by bullies and their victims and develop rules to detect cyberbullying content automatically. The BullyBuster project merges the know-how of four interdisciplinary research groups to develop a framework useful for maintaining psycho-physical well-being in educational contexts

    PIKO-1, an effective, handy device for the patient's personal PEFR and FEV1 electronic long-term monitoring

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    Background and Aim. Subjects with airway obstruction are strongly recommended to monitor their lung function, which is particularly variable in asthma. Unlike PEFR, other personal measurements (such as FEV1) are still difficult to perform. PIKO-1 is the first electronic device for both PEFR and FEV1 personal check, but its precision has not yet been assessed. The aim of this study was to compare PEFR and FEV1 values from PIKO-1 and from a conventional spirometer in subjects with airway obstruction. Methods. In total, 352 subjects (217 men; 47.6 ± 19.0 years; 72.6 ± 15.0 kg; 168.1 ± 11.9 cm) performed sequential measurements using a PIKO-1 device and a spirometer. Wilcoxon signed-rank test and sign test were used as statistical tests. Results. Mean FEV1 values from the spirometer and PIKO-1, respectively, were 2.9 L ± 1.1 and 3.0 L ± 1.1, and mean PEFR values were 466.1 L/min ± 164.5 SD and 426.3 L/min ± 151.6 SD. PIKO-1 proved to overestimate FEV1 values by 4% (p&lt;0.0001) and to underestimate PEFR values by 8% (p&lt;0.000) systematically. Conclusions. The precision of both PIKO-1 measurements (such as FEV1 and PEFR) have been assessed. PEFR and FEV1 measures should be reset by two different constants. Nevertheless, PIKO-1 is a suitable and reliable device for the personal monitoring of obstructive patients in real life

    How future surgery will benefit from SARS-COV-2-related measures: a SPIGC survey conveying the perspective of Italian surgeons

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    COVID-19 negatively affected surgical activity, but the potential benefits resulting from adopted measures remain unclear. The aim of this study was to evaluate the change in surgical activity and potential benefit from COVID-19 measures in perspective of Italian surgeons on behalf of SPIGC. A nationwide online survey on surgical practice before, during, and after COVID-19 pandemic was conducted in March-April 2022 (NCT:05323851). Effects of COVID-19 hospital-related measures on surgical patients' management and personal professional development across surgical specialties were explored. Data on demographics, pre-operative/peri-operative/post-operative management, and professional development were collected. Outcomes were matched with the corresponding volume. Four hundred and seventy-three respondents were included in final analysis across 14 surgical specialties. Since SARS-CoV-2 pandemic, application of telematic consultations (4.1% vs. 21.6%; p &lt; 0.0001) and diagnostic evaluations (16.4% vs. 42.2%; p &lt; 0.0001) increased. Elective surgical activities significantly reduced and surgeons opted more frequently for conservative management with a possible indication for elective (26.3% vs. 35.7%; p &lt; 0.0001) or urgent (20.4% vs. 38.5%; p &lt; 0.0001) surgery. All new COVID-related measures are perceived to be maintained in the future. Surgeons' personal education online increased from 12.6% (pre-COVID) to 86.6% (post-COVID; p &lt; 0.0001). Online educational activities are considered a beneficial effect from COVID pandemic (56.4%). COVID-19 had a great impact on surgical specialties, with significant reduction of operation volume. However, some forced changes turned out to be benefits. Isolation measures pushed the use of telemedicine and telemetric devices for outpatient practice and favored communication for educational purposes and surgeon-patient/family communication. From the Italian surgeons' perspective, COVID-related measures will continue to influence future surgical clinical practice
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