A Survey of Machine and Deep Learning Methods for Privacy Protection in the Internet of Things.

Recent advances in hardware and information technology have accelerated the proliferation of smart and interconnected devices facilitating the rapid development of the Internet of Things (IoT). IoT applications and services are widely adopted in environments such as smart cities, smart industry, autonomous vehicles, and eHealth. As such, IoT devices are ubiquitously connected, transferring sensitive and personal data without requiring human interaction. Consequently, it is crucial to preserve data privacy. This paper presents a comprehensive survey of recent Machine Learning (ML)- and Deep Learning (DL)-based solutions for privacy in IoT. First, we present an in depth analysis of current privacy threats and attacks. Then, for each ML architecture proposed, we present the implementations, details, and the published results. Finally, we identify the most effective solutions for the different threats and attacks.

Transfer-Learning-Based Intrusion Detection Framework in IoT Networks.

Cyberattacks in the Internet of Things (IoT) are growing exponentially, especially zero-day attacks mostly driven by security weaknesses on IoT networks. Traditional intrusion detection systems (IDSs) adopted machine learning (ML), especially deep Learning (DL), to improve the detection of cyberattacks. DL-based IDSs require balanced datasets with large amounts of labeled data; however, there is a lack of such large collections in IoT networks. This paper proposes an efficient intrusion detection framework based on transfer learning (TL), knowledge transfer, and model refinement, for the effective detection of zero-day attacks. The framework is tailored to 5G IoT scenarios with unbalanced and scarce labeled datasets. The TL model is based on convolutional neural networks (CNNs). The framework was evaluated to detect a wide range of zero-day attacks. To this end, three specialized datasets were created. Experimental results show that the proposed TL-based framework achieves high accuracy and low false prediction rate (FPR). The proposed solution has better detection rates for the different families of known and zero-day attacks than any previous DL-based IDS. These results demonstrate that TL is effective in the detection of cyberattacks in IoT environments.

No surviving evolved companions of the progenitor of SN 1006.

Type Ia supernovae are thought to occur when a white dwarf made of carbon and oxygen accretes sufficient mass to trigger a thermonuclear explosion. The accretion could be slow, from an unevolved (main-sequence) or evolved (subgiant or giant) star (the single-degenerate channel), or rapid, as the primary star breaks up a smaller orbiting white dwarf (the double-degenerate channel). A companion star will survive the explosion only in the single-degenerate channel. Both channels might contribute to the production of type Ia supernovae, but the relative proportions of their contributions remain a fundamental puzzle in astronomy. Previous searches for remnant companions have revealed one possible case for SN 1572 (refs 8, 9), although that has been questioned. More recently, observations have restricted surviving companions to be small, main-sequence stars, ruling out giant companions but still allowing the single-degenerate channel. Here we report the results of a search for surviving companions of the progenitor of SN 1006 (ref. 14). None of the stars within 4 arc minutes of the apparent site of the explosion is associated with the supernova remnant, and we can firmly exclude all giant and subgiant stars from being companions of the progenitor. In combination with previous results, our findings indicate that fewer than 20 per cent of type Ia supernovae occur through the single-degenerate channel.

Differentiating hypertrophic cardiomyopathy from athlete's heart: An electrocardiographic and echocardiographic approach.

Differential diagnosis of hypertrophic cardiomyopathy (HCM) vs athlete's heart is challenging in individuals with mild-moderate left-ventricular hypertrophy. This study aimed to assess ECG and echocardiographic parameters proposed for the differential diagnosis of HCM. The study included 75 men in three groups: control (n=30), "gray zone" athletes with interventricular septum (IVS) measuring 13-15mm (n=25) and HCM patients with IVS of 13-18mm (n=20). The most significant differences were found in relative septal thickness (RST), calculated as the ratio of 2 x IVS to left ventricle end-diastolic diameter (LV-EDD) (0.37, 0.51, 0.71, respectively; p<0.01) and in spatial QRS-T angle as visually estimated (9.8, 33.6, 66.2, respectively; p<0.01). The capacity for differential HCM diagnosis of each of the 5 criteria was assessed using the area under the curve (AUC), as follows: LV-EDD<54 (0.60), family history (0.61), T-wave inversion (TWI) (0.67), spatial QRS-T angle>45 (0.75) and RST>0.54 (0.92). Pearson correlation between spatial QRS-T angle>45 and TWI was 0.76 (p 0.01). The combination of spatial QRS-T angle>45 and RST>0.54 for diagnosis of HCM had an AUC of 0.79. The best diagnostic criteria for HCM was RST>0.54. The spatial QRS-T angle>45 did not add sensitivity if TWI was present. No additional improvement in differential diagnosis was obtained by combining parameters.

The binary progenitor of Tycho Brahe's 1572 supernova.

The brightness of type Ia supernovae, and their homogeneity as a class, makes them powerful tools in cosmology, yet little is known about the progenitor systems of these explosions. They are thought to arise when a white dwarf accretes matter from a companion star, is compressed and undergoes a thermonuclear explosion. Unless the companion star is another white dwarf (in which case it should be destroyed by the mass-transfer process itself), it should survive and show distinguishing properties. Tycho's supernova is one of only two type Ia supernovae observed in our Galaxy, and so provides an opportunity to address observationally the identification of the surviving companion. Here we report a survey of the central region of its remnant, around the position of the explosion, which excludes red giants as the mass donor of the exploding white dwarf. We found a type G0-G2 star, similar to our Sun in surface temperature and luminosity (but lower surface gravity), moving at more than three times the mean velocity of the stars at that distance, which appears to be the surviving companion of the supernova.

Characterizing the spectrum of right ventricular remodelling in response to chronic training.

The significance and spectrum of reduced right ventricular (RV) deformation, reported in endurance athletes, is unclear. To comprehensively analyze the cardiac performance at rest of athletes, especially focusing on integrating RV size and deformation to unravel the underlying triggers of this ventricular remodelling. Hundred professional male athletes and 50 sedentary healthy males of similar age were prospectively studied. Conventional echocardiographic parameters of all four chambers were obtained, as well as 2D echo-derived strain (2DSE) in the left (LV) and in the RV free wall with separate additional analysis of the RV basal and apical segments. Left and right-sided dimensions were larger in athletes than in controls, but with a disproportionate RA enlargement. RV global strain was lower in sportsmen (-26.8 ± 2.8% vs -28.5 ± 3.4%, p < 0.001) due to a decrease in the basal segment (-22.8 ± 3.5% vs -25.8 ± 4.0%, p < 0.001) resulting in a marked gradient of deformation from the RV inlet towards the apex. By integrating size, deformation and stroke volume, we observed that the LV working conditions were similar in all sportsmen while a wider variability existed in the RV. Cardiac remodelling in athletes is more pronounced in the right heart cavities with specific regional differences within the right ventricle, but with a wide variability among individuals. The large inter-individual differences, as well as its acute and chronic relevance warrant further investigation.

Normative data for the Boston Naming Test and the Pyramids and Palm Trees Test in the elderly Spanish population.

The objective of this study was to obtain normative data for naming and semantic memory (SM) tests in the elderly Spanish population. A total of 121 Spanish-speaking senior citizens were assessed with the Boston Naming Test (BNT). Of these, 79 were assessed with the Semantic Fluency Test (Sem-Flu) and 72 with the Pyramids and Palm Trees Test (PPT). Mean scores were 49.6 (SD = 5.6) for the BNT, 49.6 (SD = 2.2) for the PPT, and 16.9 (SD = 4.9) for the Sem-Flu. All SM tests were significantly influenced by participants' level of education (p < .01). The BNT was also significantly influenced by gender. A significant positive association was found between naming and SM tests (p < .01). Normative data for naming and SM tests could be useful in clinical assessment and research in Spanish-speaking dementia patients.

Ley de derechos sexuales y reproductivos en Bolivia: la opinión pública ante el debate, Capítulo 1 / s

Noticias sobre la Ley. Noticias sobre Derechos Sexuales y Reproductivos. Opinión sobre la Ley. Opinión sobre Derechos SR. Editorial sobre la Ley. Editorial sobre Derechos SR. Artículos y Comunicados sobre la Ley. Anexo I. Texto íntegro de la Ley Marco de Derechos Sexuales y Reproductivos. Anexo II. Listado completo de noticias en archivo