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If you wish to design smart, threat-proof cybersecurity systems using trending AI tools and techniques, then this book is for you. With this book, you will learn to develop intelligent systems that can detect suspicious patterns and attacks, thereby allowing you to protect your network and corporate assets.

Governments faced with the spread of COVID-19 pandemic are adopting strict and severe mitigation measures to influence people’s behaviors. Public perception of health risk plays a key role in the adoption of these actions, in people’s feelings, and in their daily habits. To support decision makers from international to local levels to face with future sanitary emergencies, this study aims at investigating Italian public perceptions of health risk. To this purpose, a questionnaire was designed and administered within the period of Italian COVID-19 lockdown and quarantine to almost 9000 citizens in Italy and abroad. The obtained results highlight a significative influence that mass media play on both the level of knowledge and the feelings of the respondents. The findings also point out future variations of some perceived behaviors consequent to the COVID-19 outbreak.

This paper presents a 0–360° phase shifter in 28 nm FD-SOI CMOS technology, suitable for radar applications and mm-wave wireless communication systems, which adopt high-efficiency transmitter architectures. It exploits a novel switching vector modulator based on a double-balanced Gilbert cell, which guarantees high-resolution phase control while exhibiting inherently high robustness against process and temperature variations. The phase control is performed by merely changing the currents in the Gilbert cells using digitally controlled current generators. The proposed phase shifter operates at 39 GHz and provides RMS phase and gain errors of 2.7–4.7° and 0.3–0.5 dB, respectively, while drawing 13 mA from a 1 V supply voltage.

Background In metastatic pancreatic ductal adenocarcinoma (mPDAC), first line treatment options usually include combination regimens of folinic acid, 5-fluorouracil (5-FU), irinotecan, and oxaliplatin (FOLFIRINOX or mFOLFIRINOX) or gemcitabine based regimens such as in combination with albumin-bound paclitaxel (GEM + nab-PTX). After progression, multiple regimens including NALIRI + 5-FU and folinic acid, FOLFIRINOX, 5-FU-based oxaliplatin doublets (OFF, FOLFOX, or XELOX), or 5-FU-based monotherapy (FL, capecitabine, or S-1) are considered appropriate by major guidelines. This network meta-analysis (NMA) aimed to compare the efficacy of different treatment strategies tested as second-line regimens for patients with mPDAC after first-line gemcitabine-based systemic treatment. Methods Randomized phase II and III clinical trials (RCTs) were included if they were published or presented in English. Trials of interest compared two active systemic treatments as second-line regimens until disease progression or unacceptable toxicity. We performed a Bayesian NMA with published hazard ratios (HRs) and 95%confidence intervals (CIs) to evaluate the comparative effectiveness of different second-line therapies for mPDAC. The main outcomes of interest were overall survival (OS) and progression free survival (PFS), secondary endpoints were grade 3–4 toxicities. We calculated the relative ranking of agents for each outcome as their surface under the cumulative ranking (SUCRA). A higher SUCRA score meant a higher ranking for efficacy outcomes. Results A NMA of 9 treatments was performed for OS (n = 2521 patients enrolled). Compared with 5-FU + folinic acid both irinotecan or NALIRI + fluoropyrimidines had a trend to better OS (HR = 0.76, 95%CI 0.21–2.75 and HR = 0.74, 95%CI 0.31–1.85). Fluoropyrimidines + folinic acid + oxaliplatin were no better than the combination without oxaliplatin. The analysis of treatment ranking showed that the combination of NALIRI + 5-FU + folinic acid was most likely to yield the highest OS results (SUCRA = 0.7). Furthermore, the NMA results indicated that with the highest SUCRA score (SUCRA = 0.91), NALIRI + 5-FU + folinic acid may be the optimal choice for improved PFS amongst all regimens studied. Conclusions According to the NMA results, NALIRI + 5-FU, and folinic acid may represent the best second-line treatment for improved survival outcomes in mPDAC. Further evidence from prospective trials is needed to determine the best treatment option for this group of patients.

This paper presents recent results on CMOS integrated circuits for automotive radar sensor applications in the 77 GHz frequency band. It is well demonstrated that nano-scale CMOS technologies are the best solution for the implementation of low-cost and high-performance mm-wave radar sensors since they provide high integration level besides supporting high-speed digital processing. The present work is mainly focused on the RF front-end and summarizes the most stringent requirements of both short/medium- and long-range radar applications. After a brief introduction of the adopted technology, the paper addresses the critical building blocks of the receiver and transmitter chain while discussing crucial design aspects to meet the final performance. Specifically, effective circuit topologies are presented, which concern mixer, variable-gain amplifier, and filter for the receiver, as well as frequency doubler and power amplifier for the transmitter. Moreover, a voltage-controlled oscillator for a PLL efficiently covering the two radar bands is described. Finally, the circuit description is accompanied by experimental results of an integrated implementation in a 28 nm fully depleted silicon-on-insulator CMOS technology.

Daily precipitation and groundwater level data, registered at 7 rain gauge stations and 11 monitoring wells in the Salento coastal karst aquifer (Southern Italy) were subject to short time series analyses to evaluate the hydrodynamic response of the aquifer. Results show that the Salento karst system has in general great storage capacity, which suggests a poor degree of aquifer karstification, and dominance in the permeability structure of not well-developed hierarchical karst networks. Baseflow generally dominates on quick flow, which only occasionally occurs. The dominant hydraulic behaviour is unimodal baseflow with a bimodal baseflow and quick flow one from time to time. Some local specific features, which emerge depending on the rainfall frequency and depth, and the geological and structural characteristics, point out that some components of the permeability structure, as the epikarst and major faults, only activate depending on the characteristics of the input. The study is novel because the analyses concerned specific sets of hydrological years from 2007 to 2011; also, because the analysis was conducted for a coastal karst aquifer of significant size, characterized by a regional groundwater flow system with an unsteady lower boundary, without inland freshwater springs, and significant exploitation by wells.

Estimating economic losses caused on buildings and other civil engineering works due to flooding events is often a difficult task. The accuracy of the estimate is affected by the availability of detailed data regarding the return period of the flooding event, vulnerability of exposed assets, and type of economy run in the affected area. This paper aims to provide a quantitative methodology for the assessment of economic losses associated with flood scenarios. The proposed methodology was performed for an urban area in Southern Italy prone to hydrogeological instabilities. At first, the main physical characteristics of the area such as rainfall, land use, permeability, roughness, and slopes of the area under investigation were estimated in order to obtain input for flooding simulations. Afterwards, the analysis focused on the spatial variability incidence of the rainfall parameters in flood events. The hydraulic modeling provided different flood hazard scenarios. The risk curve obtained by plotting economic consequences vs. the return period for each hazard scenario can be a useful tool for local authorities to identify adequate risk mitigation measures and therefore prioritize the economic resources necessary for the implementation of such mitigation measures.

Angiogenesis, a hallmark of cancer, plays a fundamental role in colorectal cancer (CRC). Anti-angiogenic drugs and chemotherapy represent a standard of care for treating metastatic disease. Immune checkpoint inhibitors (ICIs) have changed the therapeutic algorithm of many solid tumors. However, the efficacy of ICIs is limited to mCRC patients carrying microsatellite instability (MSI-H), which represent approximately 3–5% of mCRC. Emerging evidence suggests that anti-angiogenic drugs could exhibit immunomodulatory properties. Thus, there is a strong rationale for combining anti-angiogenics and ICIs to improve efficacy in the metastatic setting. Our review summarizes the pre-clinical and clinical evidence regarding the combination of anti-angiogenics and ICIs in mCRC to deepen the possible application in daily clinical practice.

This paper presents a switched capacitor low-pass filter in a 28-nm fully depleted silicon on insulator CMOS technology for 77-GHz automotive radar applications. It is operated at a power supply as low as 1 V and guarantees 5-dB in-band voltage gain while providing out-of-band attenuation higher than 36 dB and a programmable passband up to 30 MHz. A double sampling technique is adopted, which allows high operating frequency to be achieved while saving power. Moreover, low-voltage biasing and common-mode feedback circuits are exploited to guarantee an almost rail-to-rail output voltage swing. The proposed filter provides an output 1-dB compression point as high as 8.7 dBm with a power consumption of 9 mW. To the authors’ knowledge, this is the first SC-based implementation of a low pass filter for automotive radar applications.

Immune checkpoint inhibitors (ICIs) have improved outcomes for patients with solid tumors, but reliable predictors of overall survival (OS) are limited. This retrospective study of 146 advanced solid tumor patients treated with ICIs aims to provide a nomogram to predict 1-year (1y) OS integrating body composition (BC) parameters with standard clinicopathological (CP) features. A two-stage approach was implemented: first random survival forest models were trained and tested to evaluate the prognostic value of (a) CP features alone, (b) BC metrics alone or as newly introduced BC scores, and (c) their combination. The best predictive performance (average cumulative AUC of 0.73 in test set) was achieved by combining 12 CP features with the BC score comprising intramuscolar adipose tissue content, visceral fat area index, and the visceral-to-subcutaneous fat area index ratio. Finally, a nomogram was developed with this feature set, offering a tool for personalized risk stratification and treatment planning (mean absolute error in calibration curve of 0.03 and overall AUC of 0.76). Integrating BC parameters with CP features substantially enhances 1y OS prediction in patients receiving ICIs.