Miracle-dz/UniFAR-FTUs huggingface dataset:
An Evolving Fuzzy Neural Network Based on the Mapping of Similarities

Evolving fuzzy systems (EFSs) use online learning to extract knowledge from data, perform a high-level adaptation of the network structure, and learn parameters. In this paper, we describe the performance of an EFS that is called similarity mapping, where the training pairs (xi and zi) are compressed into input and output clusters. The predictive error is minimized using a procedure that is very similar to the one implemented in fuzzy-adaptive resonance theory map (ARTMAP) and resource-allocation networks. However, in the recall phase, a fuzzy membership grade is calculated for each input cluster and used in the weighting of the output clusters to obtain the final output vector. By modifying the spread of the cluster membership function, different approximative interpolating functions can be implemented. A similarity function, which was initially proposed for ART 1 implementations, is extended to the processing of analog vectors and used to calculate the membership grades of the input clusters. Several examples show the behavior of the network, as well as its capability to classify, eliminate noise, and predict chaotic time series.
Interference Functionals in Poisson Networks

We propose and prove a theorem that allows the calculation of a class of functionals on Poisson point processes that have the form of expected values of sum-products of functions. In proving the theorem, we present a variant of the Campbell-Mecke theorem from stochastic geometry. We proceed to apply our result in the calculation of expected values involving interference in wireless Poisson networks. Based on this, we derive outage probabilities for transmissions in a Poisson network with Nakagami fading. Our results extend the stochastic geometry toolbox used for the mathematical analysis of interference-limited wireless networks.
Toward Exposing Timing-Based Probing Attacks in Web Applications †

Web applications have become the foundation of many types of systems, ranging from cloud services to Internet of Things (IoT) systems. Due to the large amount of sensitive data processed by web applications, user privacy emerges as a major concern in web security. Existing protection mechanisms in modern browsers, e.g., the same origin policy, prevent the users’ browsing information on one website from being directly accessed by another website. However, web applications executed in the same browser share the same runtime environment. Such shared states provide side channels for malicious websites to indirectly figure out the information of other origins. Timing is a classic side channel and the root cause of many recent attacks, which rely on the variations in the time taken by the systems to process different inputs. In this paper, we propose an approach to expose the timing-based probing attacks in web applications. It monitors the browser behaviors and identifies anomalous timing behaviors to detect browser probing attacks. We have prototyped our system in the Google Chrome browser and evaluated the effectiveness of our approach by using known probing techniques. We have applied our approach on a large number of top Alexa sites and reported the suspicious behavior patterns with corresponding analysis results. Our theoretical analysis illustrates that the effectiveness of the timing-based probing attacks is dramatically limited by our approach.
Treating Major Depression with Physical Activity: A Systematic Overview with Recommendations

The purpose of this systematic overview was to determine the most effective mode and dose of physical activity (PA) for treating major depressive disorder (MDD), and to suggest guidelines and recommendations for clinicians. The selection process consisted of a comprehensive search that was conducted up until April 2014 in the following databases: PsycINFO, Medline, PubMed and Scopus. The inclusion criteria were: (1) a randomized controlled trial (RCT) design, (2) complete description of intensity, duration and frequency of the PA, (3) the participants had to be diagnosed with MDD according to Diagnostic Statistical Manual 4 th edition (DSM-IV) or International Classification of Disease tenth Revision (ICD-10) criteria (4) if the controls received any treatment, it had to be specified, (5) published after 1990, (6) consist of aerobic or anaerobic treatment PA, and (7) not be a pilotor preliminary study. A quality assessment of each study was conducted independently by two reviewers; this stringent selection process resulted in 12 reviewed studies. Conclusion: individually customized PA, for at least 30 minutes, preferably performed under supervision and with a frequency of at least three times per week is recommended when treating MDD. These recommendations must be viewed in light of the relatively few studies matching the inclusion criteria.
Complex-Valued Adaptive Signal Processing Using Nonlinear Functions

We describe a framework based on Wirtinger calculus for adaptive signal processing that enables efficient derivation of algorithms by directly working in the complex domain and taking full advantage of the power of complex-domain nonlinear processing. We establish the basic relationships for optimization in the complex domain and the real-domain equivalences for first- and second-order derivatives by extending the work of Brandwood and van den Bos. Examples in the derivation of first- and second-order update rules are given to demonstrate the versatility of the approach.
Symptomatic Intracerebral Hemorrhage following Thrombolytic Therapy for Acute Ischemic Stroke: A Review of the Risk Factors

Background: Symptomatic intracerebral hemorrhage (SICH) following thrombolytic therapy for acute ischemic stroke is associated with a high rate of morbidity and mortality. Knowledge of the risk factors associated with SICH following thrombolyitc therapy may provide insight into the pathophysiological mechanisms underlying the development of SICH, lead to the development of treatments that reduce the risk of SICH and have implications for the design of future stroke trials. Methods: Relevant studies were identified through a search in Pubmed. Included studies used multivariate analyses to identify independent risk factors for SICH following thrombolytic therapy. For each variable that was found to have a significant association with SICH, a secondary literature search was conducted to identify additional reports on the specific relationship between that variable and SICH. Summary of Review: Twelve studies met inclusion criteria for the systematic review. Extent of hypoattenuated brain parenchyma on pretreatment CT and elevated serum glucose or history of diabetes were independent risk factors for thrombolysis-associated SICH in six of the twelve studies. Symptom severity was an independent risk factor in three of the studies and advanced age, increased time to treatment, high systolic blood pressure, low platelets, history of congestive heart failure and low plasminogen activator inhibitor levels were found to be independent risk factors for SICH in a single study. Although these data should not alter the current guidelines for the use of rt-PA in acute stroke, they may help develop future strategies aimed at reducing the rate of thrombolysis-associated SICH.
The Future Internet: A World of Secret Shares

The Public Key Infrastructure (PKI) is crumbling, partially due to the lack of a strong understanding of how encryption actually works, but also due to weaknesses in its implementation. This paper outlines an Internet storage technique using secret sharing methods which could be used to overcome the problems inherent with PKI, while supporting new types of architectures incorporating such things as automated failover and break-glass data recovery. The paper outlines a novel architecture: SECRET, which supports a robust cloud-based infrastructure with in-built privacy and failover. In order to understand the performance overhead of SECRET, the paper outlines a range of experiments that investigate the overhead of this and other secret share methods.
External Control of Dissipative Coupling in a Heterogeneously Integrated Photonic Crystal—SOI Waveguide Optomechanical System

Cavity optomechanical systems with an enhanced coupling between mechanical motion and electromagnetic radiation have permitted the investigation of many novel physical effects. The optomechanical coupling in the majority of these systems is of dispersive nature: the cavity resonance frequency is modulated by the vibrations of the mechanical oscillator. Dissipative optomechanical interaction, where the photon lifetime in the cavity is modulated by the mechanical motion, has recently attracted considerable interest and opens new avenues in optomechanical control and sensing. In this work we demonstrate an external optical control over the dissipative optomechanical coupling strength mediated by the modulation of the absorption of a quantum dot layer in a hybrid optomechanical system. Such control enhances the capability of tailoring the optomechanical coupling of our platform, which can be used in complement to the previously demonstrated control of the relative (dispersive to dissipative) coupling strength via the geometry of the integrated access waveguide.
Prevalence of insomnia among Chinese adults in Hong Kong: a population‐based study

Prevalence estimates of insomnia in western general populations are well documented, but population‐based epidemiological data on insomnia in Chinese adults are scarce. The aims of the present study were to determine the prevalence of insomnia in the general population of Hong Kong, compare components of sleep disturbances and lifestyle factors stratified by sex, and identify risk factors for insomnia. Using a population‐based cross‐sectional design, a total of 5001 Chinese adults aged ≥18 years completed a telephone interview on the Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale (HADS) and measures of quality of life (QoL) indexed by Medical Outcomes Study 12‐item Short‐Form Health Survey (SF12), lifestyle and sociodemographic details. Insomnia was defined by a PSQI global score >5. The resultant weighted prevalence of insomnia was 39.4%, equivalent to 2.2 million affected adults in Hong Kong. Women reported significantly poorer component and global sleep quality (all P < 0.05). Fully adjusted stepwise regression analyses identified non‐full‐time employment status, existing long‐term health problems, alcohol consumption four to seven times per week, higher HADS scores, poor mental health component of QoL and low self‐perceived health were associated significantly with insomnia (all P < 0.05). Our results suggest that insomnia is highly prevalent among Hong Kong Chinese adults and is associated with frequent use of alcohol, poor mental health and QoL.
Efficacy of Artilysin Art-175 against Resistant and Persistent Acinetobacter baumannii

ABSTRACT Bacteriophage-encoded endolysins have shown promise as a novel class of antibacterials with a unique mode of action, i.e., peptidoglycan degradation. However, Gram-negative pathogens are generally not susceptible due to their protective outer membrane. Artilysins overcome this barrier. Artilysins are optimized, engineered fusions of selected endolysins with specific outer membrane-destabilizing peptides. Artilysin Art-175 comprises a modified variant of endolysin KZ144 with an N-terminal fusion to SMAP-29. Previously, we have shown the high susceptibility of Pseudomonas aeruginosa to Art-175. Here, we report that Art-175 is highly bactericidal against stationary-phase cells of multidrug-resistant Acinetobacter baumannii, even resulting in a complete elimination of large inocula (≥108 CFU/ml). Besides actively dividing cells, Art-175 also kills persisters. Instantaneous killing of A. baumannii upon contact with Art-175 could be visualized after immobilization of the bacteria in a microfluidic flow cell. Effective killing of a cell takes place through osmotic lysis after peptidoglycan degradation. The killing rate is enhanced by the addition of 0.5 mM EDTA. No development of resistance to Art-175 under selection pressure and no cross-resistance with existing resistance mechanisms could be observed. In conclusion, Art-175 represents a highly active Artilysin against both A. baumannii and P. aeruginosa, two of the most life-threatening pathogens of the order Pseudomonadales.
Congenital thrombotic thrombocytopenia presenting with placental abruption

References Abu-Yousef MM, Bleicher JJ, Williamson RA et al. 1987. Subchorionic hemorrhage: sonographic diagnosis and clinical significance. American Journal of Roentgenology 149:737–740. Cunningham FG, Leveno KJ, Bloom SL et al. 2010. Abnormalities of the placenta, umbilical cord, and membranes. In: Cunningham FG, Leveno KJ, Bloom SL et al. eds. Williams obstetrics. 23rd ed. New York: McGraw Hill. p. 577–587. Nyberg DA, Cyr DR, Mack LA, Wilson DA, Shuman WP. 1987. Sonographic spectrum of placental abruption. American Journal of Roentgenology 148:161–164. Pearlstone M, Baxi L. 1993. Subchorionic hematoma: a review. Obstetrical and Gynecological Survey 48:65–68. Congenital thrombotic thrombocytopenia presenting with placental abruption
Computational geometry based placement migration

Placement migration is a critical step to address a variety of post-placement design closure issues, such as timing, routing congestion, signal integrity, and heat distribution. To fix a design problem, one would like to perturb the design as little as possible while preserving the integrity of the original placement. This work presents a novel computational geometry based placement migration method, and a new stability metric to more accurately measure the "similarity" between two placements. It has two stages, a bin-based spreading at coarse scale and a Delaunay triangulation based spreading at finer grain. It has clear advantage over conventional legalization algorithms such that the neighborhood characteristics of the original placement are preserved. Thus, the placement migration is much more stable, which is important to maintain. Applying this technique to placement legalization demonstrates significant improvements in wire length and stability compared to other popular legalization algorithms.
Nonverbal signals speak up: Association between perceptual nonverbal dominance and emotional intelligence

Emotional communication uses verbal and nonverbal means. In case of conflicting signals, nonverbal information is assumed to have a stronger impact. It is unclear, however, whether perceptual nonverbal dominance varies between individuals and whether it is linked to emotional intelligence. Using audiovisual stimulus material comprising verbal and nonverbal emotional cues that were varied independently, perceptual nonverbal dominance profiles and their relations to emotional intelligence were examined. Nonverbal dominance was found in every participant, ranging from 55 to 100%. Moreover, emotional intelligence, particularly the ability to understand emotions, correlated positively with nonverbal dominance. Furthermore, higher overall emotional intelligence as well as a higher ability to understand emotions were linked to smaller reaction time differences between emotionally incongruent and congruent stimuli. The association between perceptual nonverbal dominance and emotional intelligence, and more specifically the ability to understand emotions, might reflect an adaptive process driven by the experience of higher authenticity in nonverbal cues.
An efficient search algorithm of worst-case cache flush timings

In recent years, the use of cache memory has been desired in hard real-time systems in order to reduce the memory access time. To enable it, accurate analysis of the worst-case execution time considering cache flushes is necessary since the cache may be flushed by preempting tasks in a multitask environment. This paper proposes a method to find the worst-case timing of cache flushes and demonstrates its effectiveness.
Frequency-domain error analysis of linear multistep methods

This work presents a comparative analysis of various numerical integration algorithms with respect to the error they introduce in the frequency spectrum of the numerical solution of a differential equation. It is shown that the most common linear multistep methods, often used for time-domain simulation, are ill-suited for frequency-domain analysis, and that much better accuracy can be obtained using another algorithm, recently developed for the specific purpose of performing continuous-spectrum frequency-domain simulation. Examples of numerical simulations that demonstrate this point are presented and discussed.
Correlations between tooth mobility and the Periotest method in periodontally involved teeth.

OBJECTIVE The aim of this clinical study was to evaluate whether a correlation exists between three-dimensional tooth mobility (TM) and Periotest values for maxillary anterior periodontally involved teeth (pocket depth > 3 mm) before and after periodontal therapy. METHOD AND MATERIALS Force-related TM was measured in 3 N intervals in 19 participants as they bit down on a load cell. Periotest values were evaluated at reproducible measurement points. Both measurement techniques were performed on maxillary central and lateral incisors and canine teeth before periodontal treatment and after a healing period of 3 months. The Pearson product-moment correlation coefficient was calculated to determine exploratory associations. RESULTS The comparison between TM and Periotest values indicated "high" and "optimum" correlations for maxillary central incisors before and after periodontal therapy. Lateral incisors exhibited "moderate" and "high" correlations, whereas canines exhibited "weak" and "moderate" correlations before and after periodontal therapy. CONCLUSION Periotest values may provide valuable information about quantitative metric tooth mobility in periodontally involved teeth. In future investigations, the study design can expand on various dental fields, such as implantology and traumatology.
Development of Material‐Integrated Actuator‐Sensor‐Arrays for Obstacle Sensing

The specific manufacturing processes of fiber‐reinforced plastics (FRP) enable a seamless integration of sensors and actuators, allowing realization of tasks that are additional to the main load bearing functionality, for example, obstacle distance sensing. Through the integration of several distributed piezoelectric actuators into a FRP component and their time‐shifted actuation, a directional plate wave can be generated. The interaction of the plate wave with the surrounding medium induces a sound wave, which − reflected from an obstacle − returns toward the component and forms a plate wave, that is, detected by another integrated transducer array. Since the time between the generation of the initial wave and the reflected wave appearance is a linear function of the distance to the obstacle, an appropriate evaluation enables the realization of the obstacle distance sensing functionality. Presented experimental investigations are conducted to confirm the feasibility of the above described operational principle. It is shown that a directional generation of plate waves and their radiation in surrounding medium can be achieved using a suitable actuator‐sensor arrangement. The operating principle is successfully demonstrated for exemplary textile‐reinforced composite plate with integrated piezoceramic actuator‐sensor transducer arrays.
Transparent p-Type Semiconductors: Copper-Based Oxides and Oxychalcogenides

While p-type transparent conducting materials (TCMs) are crucial for many optoelectronic applications, their performance is still not satisfactory. This has impeded the development of many devices such as photovoltaics, sensors, and transparent electronics. Among the various p-type TCMs proposed so far, Cu-based oxides and oxychalcogenides have demonstrated promising results in terms of their optical and electrical properties. Hence, they are the focus of this current review. Their basic material properties, including their crystal structures, conduction mechanisms, and electronic structures will be covered, as well as their device applications. Also, the development of performance enhancement strategies including doping/co-doping, annealing, and other innovative ways to improve conductivity will be discussed in detail.
The Sensitivity of Surface Plasmon Resonance Damping for Colloidal Silver Nanoparticles

The impact of environmental conditions (ionic strength and type of electrolytes) on the damping of surface plasmon resonance spectra of silver nanoparticles (AgNPs) colloids suspensions were investigated. This study is structured for analyzing the interaction of three different sized (20, 50, and 80 nm) silver nanoparticles, which electrostatically stabilized (sodium citrate) with non-adsorbent media (e.g. NaCl and NaOH). The absorption spectra were observed using a UV-visible / NIR spectrophotometer in the range of 300 – 1000 nm. Taking advantage of the sensitivity of surface plasmon resonance (SPR) on the refractive index of the surrounding medium on the silver nanoparticles, the role of ionic media’s refractive index in changing the sensitivity of SPR on damping and plasmon resonance shift were investigated experimentally and compared with theory results thoroughly. The results of experiment revealed that the absorption spectra are blue shifted, due to the increase in perturbation of conduction electron density of AgNPs when the electron density of surrounding media increases and electrons transfer from Cl- or OH- ions to the NPs. The results of sensitivity of SPR damping corroborate the assumption that the damping of resonance strongly depend on type and concentration of ionic surrounding media (chemical interface damping). It is demonstrated that the sensitivity of SPR damping is depended on primary particle size.
Fluoxetine and congenital malformations: a systematic review and meta‐analysis of cohort studies

AIMS To investigate the safety of fluoxetine use during pregnancy, and to better understand the relationship between maternal fluoxetine use during the first trimester and congenital malformations in infants. METHODS PubMed and Web of Science databases were systematically searched from inception to 21 March 2016. Additional studies were identified in a manual search of the reference lists. Two reviewers independently extracted data. A third reviewer checked the data. Estimates were pooled using a random-effects model to calculate the summarized relative ratios (RR) and 95% confidence intervals (CI). RESULTS Among 1918 initially identified articles, 16 cohort studies were included. The offspring of pregnant women exposed to fluoxetine during the first trimester had a statistically increased risk of major malformations (RR = 1.18, 95% CI = 1.08-1.29), cardiovascular malformations (RR = 1.36, 95% CI = 1.17-1.59), septal defects (RR = 1.38, 95% CI = 1.19-1.61), and non-septal defects (RR = 1.39, 95% CI = 1.12-1.73) with low heterogeneity in infants. There were no significant observations of other system-specific malformations in the nervous system, eye, urogenital system, digestive system, respiratory system, or musculoskeletal system, respectively. There was no indication of publication bias. CONCLUSIONS The results of this meta-analysis indicate maternal fluoxetine use is associated with a slightly increased risk of cardiovascular malformations in infants. Health care providers and pregnant women must weigh the risk-benefit potential of these drugs when making decisions about whether to treat with fluoxetine during pregnancy.