Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive Threshold Scheme for Touchscreen Gesture Continuous Authentication Using Sensor Trust

In this study we produce a continuous authentication scheme for mobile devices that adjusts an adaptive threshold for touchscreen interactions based on trust in passively collected sensor data. Our framework unobtrusively compares real-time sensor data of a user to historic data and adjusts a trust parameter based on the similarity. We show that the trust parameter can be used to adjust an adaptive threshold in continuous authentication schemes. The framework passively models temporal, spatial and activity scenarios using sensor data such as location, surrounding devices, wi-fi networks, ambient noise, movements, user activity, ambient light, proximity to objects and atmospheric pressure from study participants. Deviations from the models increases the level of threat the device perceives from the scenario. We also model the user touchscreen interactions. The touchscreen interactions are authenticated against a threshold that is continually adjusted based on the perceived trust. This scheme provides greater nuance between security and usability, enabling more refined decisions. We present our novel framework and threshold adjustment criteria and validate our framework on two state-of-the-art sensor datasets. Our framework more than halves the false acceptance and false rejection rates of a static threshold system.
Real-Time Sequencing of Mycobacterium tuberculosis: Are We There Yet?

ABSTRACT Whole-genome sequencing has taken a leading role in epidemiologic studies of tuberculosis, but thus far, its real-time clinical utility has been low, in part because of the requirement for culture. In their report in this issue, Votintseva et al. (A. A. Votintseva, P. Bradley, L. Pankhurst, C. del Ojo Elias, M. Loose, K. Nilgiriwala, A. Chatterjee, E. G. Smith, N. Sanderson, T. M. Walker, M. R. Morgan, D. H. Wyllie, A. S. Walker, T. E. A. Peto, D. W. Crook, and Z. Iqbal, J Clin Microbiol 55:1285–1298, 2017, https://doi.org/10.1128/JCM.02483-16 ) present a new method for extracting Mycobacterium tuberculosis DNA directly from smear-positive respiratory samples, making it feasible to generate drug resistance predictions and phylogenetic trees in 44 h with the Illumina MiSeq. They also illustrate the potential for a <24-h turnaround time from DNA extraction to clinically relevant results with Illumina MiniSeq and Oxford Nanopore Technologies MinION. We comment on the promise and limitations of these approaches.
Performance limits in subband beamforming

This paper analyzes subband beamforming schemes mainly aimed at speech enhancement and acoustic echo suppression applications such as hands-free telephony for both mobile and office environments, Internet telephony and video conferencing. Analytical descriptions of both causal finite-length and noncausal infinite-length subband microphone array structures are given. More specifically, this paper compares finite Wiener filter performance with the noncausal Wiener solution, giving a comprehensive theoretical suppression limit. It is shown that even short filters will yield a good approximation of the infinite solution, provided that the element spacing and temporal sampling is matched to the frequency band of interest. Typically, 10-20 FIR taps are sufficient in each subband.
Population Snapshot of Invasive Serogroup B Meningococci in South Africa from 2005 to 2008

ABSTRACT In South Africa, serogroup B meningococcal disease is sporadic. The aim of this study was to characterize serogroup B strains causing invasive meningococcal disease (IMD) in South Africa from 2005 to 2008. Isolates, collected through a national, laboratory-based surveillance program for IMD, were characterized by multilocus sequence typing (MLST). Two thousand two hundred thirty-four cases were reported, of which 1,447 had viable isolates. Intermediate resistance to penicillin was observed in 2.8% (41/1,447) of all strains. Serogroup B was the second most common serogroup (17%, 251/1,447) and increased from 14% (58/414) in 2005 to 25% (72/290) in 2008 (P < 0.001); however, incidence remained stable during the study period (average incidence, 0.13/100,000 population) (P = 0.54). Serogroup B was predominantly characterized by three clonal complexes, namely, ST-41/44/lineage 3, ST-32/ET-5, and the new complex ST-4240/6688, which accounted for 27% (65/242), 23% (55/242), and 16% (38/242) of isolates, respectively. ST-4240/6688 was more prevalent among young children (<5 years) than other clonal complexes (27/37 [73%] versus 108/196 [55%]; P = 0.04). In the most densely populated province of South Africa, Gauteng, the prevalence of ST-32/ET-5 increased from 8% (2/24) in 2005 to 38% (9/24) in 2008 (P = 0.04). Capsular switching was observed in 8/242 (3%) strains. The newly assigned clonal complex ST-4240/6688 was more common in young children.
Generalized Likelihood Ratio Test for Voiced-Unvoiced Decision in Noisy Speech Using the Harmonic Model

In this paper, a novel method for voiced-unvoiced decision within a pitch tracking algorithm is presented. Voiced-unvoiced decision is required for many applications, including modeling for analysis/synthesis, detection of model changes for segmentation purposes and signal characterization for indexing and recognition applications. The proposed method is based on the generalized likelihood ratio test (GLRT) and assumes colored Gaussian noise with unknown covariance. Under voiced hypothesis, a harmonic plus noise model is assumed. The derived method is combined with a maximum a-posteriori probability (MAP) scheme to obtain a pitch and voicing tracking algorithm. The performance of the proposed method is tested using several speech databases for different levels of additive noise and phone speech conditions. Results show that the GLRT is robust to speaker and environmental conditions and performs better than existing algorithms.
Improving Molecular Detection of Fungal DNA in Formalin-Fixed Paraffin-Embedded Tissues: Comparison of Five Tissue DNA Extraction Methods Using Panfungal PCR

ABSTRACT DNA extraction from formalin-fixed paraffin-embedded (FFPE) tissues is difficult and requires special protocols in order to extract small amounts of DNA suitable for amplification. Most described methods report an amplification success rate between 60 and 80%; therefore, there is a need to improve molecular detection and identification of fungi in FFPE tissue. Eighty-one archived FFPE tissues with a positive Gomori methenamine silver (GMS) stain were evaluated using five different commercial DNA extraction kits with some modifications. Three different panfungal PCR assays were used to detect fungal DNA, and two housekeeping genes were used to assess the presence of amplifiable DNA and to detect PCR inhibitors. The sensitivities of the five extraction protocols were compared, and the quality of DNA detection (calculated for each kit as the number of housekeeping gene PCR-positive samples divided by the total number of samples) was 60 to 91% among the five protocols. The efficiencies of the three different panfungals used (calculated as the number of panfungal-PCR-positive samples divided by the number of housekeeping gene PCR-positive samples) were 58 to 93%. The panfungal PCR using internal transcribed spacer 3 (ITS3) and ITS4 primers yielded a product in most FFPE tissues. Two of the five DNA extraction kits (from TaKaRa and Qiagen) showed similar and promising results. However, one method (TaKaRa) could extract fungal DNA from 69 of the 74 FFPE tissues from which a housekeeping gene could be amplified and was also cost-effective, with a nonlaborious protocol. Factors such as sensitivity, cost, and labor will help guide the selection of the most appropriate method for the needs of each laboratory.
Assessment of Two New Molecular Methods for Identification of Candida parapsilosis Sensu Lato Species

ABSTRACT Candida parapsilosis sensu stricto, C. orthopsilosis, and C. metapsilosis replaced C. parapsilosis groups I, II, and III in 2005. Since then, an increased interest in studying their epidemiology has arisen based on the observed differences in antifungal susceptibilities and virulence the three species. A strict differentiation of these species cannot be achieved by phenotypic methods. We evaluate two new molecular methodologies to differentiate among these species by the use of a collection of 293 bloodstream infection isolates of C. parapsilosis sensu lato. For the first method, the isolates were studied using PCR amplification of a fragment of the C. parapsilosis sensu lato FKS1 gene and a universal primer pair followed by EcoRI enzyme digestion. The other method used the allele discrimination ability of molecular beacons in a multiplex real-time PCR format. Both methods of identification showed 100% concordance with internal transcribed spacer 1 (ITS1)/ITS2 sequencing and proved to be effective for clinical applications, even with mixed-species DNAs.
Pedicled Perforator Flaps for the Lower Limb.

The use of local perforator-based flaps for reconstruction of soft tissue defects of the lower extremity is a simple and safe alternative to the more complex and time-consuming microsurgical reconstructions. This has been made possible through better understanding of the cutaneous circulation and local vascular anatomy and innovations in flap design. This review describes the evolution, technique, and modifications of pedicled perforator-based flaps, particularly in the reconstruction of posttraumatic defects of the lower third of the leg. Attention is focused on the perforator-based posterior tibial, adipofascial, and dorsal foot flaps. We also highlight the concept of the ad hoc perforator flap, a flap that decreases dependence on preconceived designs.
T2 Magnetic Resonance Assay-Based Direct Detection of Three Lyme Disease-Related Borrelia Species in Whole-Blood Samples

ABSTRACT In early Lyme disease (LD), serologic testing is insensitive and seroreactivity may reflect active or past infection. In this study, we evaluated a novel assay for the direct detection of three species of Borrelia spirochetes in whole blood. The T2 magnetic resonance (T2MR) assay platform was used to amplify Borrelia DNA released from intact spirochetes and to detect amplicon. Analytical sensitivity was determined from blood spiked with known concentrations of spirochetes, and the assay's limit of detection was found to be in the single-cell-per-milliliter range: 5 cells/ml for B. afzelii and 8 cells/ml for Borrelia burgdorferi and Borrelia garinii. Clinical samples (n = 66) from confirmed or suspected early LD patients were also analyzed. B. burgdorferi was detected using T2MR in 2/2 (100%) of blood samples from patients with confirmed early LD, based on the presence of erythema migrans and documentation of seroconversion or a positive real-time blood PCR. T2MR detected B. burgdorferi in blood samples from 17/54 (31%) of patients with probable LD, based on the presence of erythema migrans without documented seroconversion or of documented seroconversion in patients with a compatible clinical syndrome but without erythema migrans. Out of 21 clinical samples tested by real-time PCR, only 1 was positive and 13 were negative with agreement with T2MR. An additional 7 samples that were negative by real-time PCR were positive with T2MR. Therefore, T2MR enables a low limit of detection (LoD) for Borrelia spp. in whole blood samples and is able to detect B. burgdorferi in clinical samples.
A Heuristic for Developing Transdiagnostic Models of Psychopathology

Transdiagnostic models of psychopathology are increasingly prominent because they focus on fundamental processes underlying multiple disorders, help to explain comorbidity among disorders, and may lead to more effective assessment and treatment of disorders. Current transdiagnostic models, however, have difficulty simultaneously explaining the mechanisms by which a transdiagnostic risk factor leads to multiple disorders (i.e., multifinality) and why one individual with a particular transdiagnostic risk factor develops one set of symptoms while another with the same transdiagnostic risk factor develops another set of symptoms (i.e., divergent trajectories). In this article, we propose a heuristic for developing transdiagnostic models that can guide theorists in explicating how a transdiagnostic risk factor results in both multifinality and divergent trajectories. We also (a) describe different levels of transdiagnostic factors and their relative theoretical and clinical usefulness, (b) suggest the types of mechanisms by which factors at 1 level may be related to factors at other levels, and (c) suggest the types of moderating factors that may determine whether a transdiagnostic factor leads to certain specific disorders or symptoms and not others. We illustrate this heuristic using research on rumination, a process for which there is evidence it is a transdiagnostic risk factor.
Molecular Typing and Resistance Analysis of Travel-Associated Salmonella enterica Serotype Typhi

ABSTRACT Salmonella enterica serotype Typhi is a human pathogen causing 12 to 30% mortality and requiring antibiotic therapy to control the severity of the infection. Typhoid fever in United States is often associated with foreign travel to areas of endemicity. Increasing resistance to multiple drugs, including quinolones, is associated with decreased susceptibility to ciprofloxacin (DCS). We investigated 31 clinical strains isolated in Florida from 2007 to 2010, associated with travel to six countries, to examine the clonal distribution of the organism and apparent nalidixic acid (NAL) resistance. The strains were isolated from blood or stool of patients aged 2 to 68 years. The isolates were subtyped by ribotyping and pulsed-field gel electrophoresis. Susceptibilities to 15 antimicrobials were determined, and the isolates were screened for integrons and gyrase A gene mutations. Both typing techniques effectively segregated the strains. Identical clones were associated with different countries, while diverse types coexisted in the same geographic location. Fifty-one percent of the strains were resistant to at least one antimicrobial, and five were resistant to three or more drugs (multidrug resistant [MDR]). All 12 isolates from the Indian subcontinent were resistant to at least one drug, and 83% of those were resistant to NAL. Three of the MDR strains harbored a 750-bp integron containing the dfr7 gene. Ninety-three percent of the resistant strains showed a DCS profile. All the NAL-resistant strains contained point mutations in the quinolone resistance-determining region of gyrA. This study affirms the global clonal distribution, concomitant genetic heterogeneity, and increased NAL resistance of S. enterica serovar Typhi.
Real-Time Demand Response Model

This paper describes an optimization model to adjust the hourly load level of a given consumer in response to hourly electricity prices. The objective of the model is to maximize the utility of the consumer subject to a minimum daily energy-consumption level, maximum and minimum hourly load levels, and ramping limits on such load levels. Price uncertainty is modeled through robust optimization techniques. The model materializes into a simple linear programming algorithm that can be easily integrated in the Energy Management System of a household or a small business. A simple bidirectional communication device between the power supplier and the consumer enables the implementation of the proposed model. Numerical simulations illustrating the interest of the proposed model are provided.
Prevalência de síndrome metabólica em uma área rural do semi-árido baiano

The goal of this study was to determine the prevalence of Metabolic Syndrome (MS) in a semi-arid rural area in Bahia, motivated by the increase of impaired glucose tolerance in rural populations and the scant national data about the occurrence of MS. Total sample involved 240 adults > or = 25 years, randomly selected, 102 (42.5%) men and 138 (57.5%) women, mean age 49.5 +/- 14.9, ranging from 25 to 87 years. Diagnosis was based on the I Diretriz Brasileira de Diagnostico e Tratamento da SM. Crude prevalence was 30.0% while the age-adjusted prevalence was 24.8%. MS frequency was higher in women (38.4%) than in men (18.6%), more elevated among individuals with age > or = 45 years (41.4%) than among those with age or = 45 years (56.9%), probably associated to menopause. Presence of MS in the absence of impaired fasting glycemia and obesity, namely its best-established constituents, suggests the importance of the syndromic diagnosis, indicated by the high predictive value of some isolated metabolic alterations. High prevalence of MS requires attention for the treatment of the whole syndrome, retarding or preventing future consequences, like diabetes and cardiovascular disease.
Light-eyed Negroes and the Klein-Waardenburg Syndrome

The author provides a compact, detailed, and comprehensive account of the subject carefully written in a scholarly fashion. Dogmatic generalizations are avoided, and modern material is included, so that the reader has the impression of a large subject, with many growing points and unsolved problems. Explanations of the causes and mechanisms of diseases are full, and the treatments advised are commendably specific, precise, and practical. The completely uninitiated would benefit from some short cuts (e.g. some tracts in small print which he could omit on first reading) and also a clearer indication of the most frequent types of disease (e.g. squint, uveitis, and epiphora). Misprints are commendably few, which reflects the author's attention to detail, as do the excellent index and the many useful cross-references in the text. The cost is quite modest for the student, who should find the book detailed and practical enough to keep for many postgraduate years. C. L Phillips
Globally distributed computation over the Internet-the POPCORN project

The POPCORN project provides an infrastructure for globally distributed computation over the whole Internet. It provides any programmer connected to the Internet with a single huge virtual parallel computer composed of all processors on the Internet which care to participate at any given moment. The system provides a market-based mechanism of trade in CPU time to motivate processors to provide their CPU cycles for other peoples' computations. Selling CPU time is as easy as visiting a certain Web site with a Java-enabled browser. Buying CPU time is done by writing a parallel program, using our programming paradigm (and libraries). This paradigm was designed to fit the situation of global computation. A third entity in our system is a market for CPU time, which is where buyers and sellers meet and trade. The system has been implemented and may be visited and used on our Web site: http://www.cs. huji.ac. il/-popcorn.
Supply-Adequacy-Based Optimal Construction of Microgrids in Smart Distribution Systems

Recently, the concept of microgrids (clusters of distributed generation, energy storage units, and reactive power sources serving a cluster of distributed loads in grid-connected and isolated grid modes) has gained a lot of interest under the smart grid vision. However, there is a strong need to develop systematic procedure for optimal construction of microgrids. This paper presents systematic and optimized approaches for clustering of the distribution system into a set of virtual microgrids with optimized self-adequacy. The probabilistic characteristics of distributed generation (DG) units are also considered by defining two new probabilistic indices representing real and reactive power of the lines. Next, the advantages of installing both distributed energy storage resources (DESRs) and distributed reactive sources (DRSs) are investigated to improve the self-adequacy of the constructed micro-grids. The new strategy facilitates robust infrastructure for smart distribution systems operational control functions, such as self-healing, by using virtual microgrids as building blocks in future distribution systems. The problem formulation and solution algorithms are presented in this paper. The well-known PG&E 69-bus distribution system is selected as a test case and through several sensitivity studies, the effect of the total DESRs or DRSs capacities on the design and the robustness of the algorithm are investigated.
New algorithms for content-based publication-subscription systems

This paper introduces new algorithms specifically designed for content-based publication-subscription systems. These algorithms can be used to determine multicast groups with as much commonality as possible, based on the totality of subscribers' interests. The algorithms are based oil concepts borrowed from the literature on spatial databases and clustering. These algorithms perform well in the context of highly heterogeneous subscriptions, and they also scale well. Based on concepts borrowed from the spatial database literature, we develop an algorithm to match publications to subscribers in real-time. We also investigate the benefits of dynamically determining whether to unicast, multicast or broadcast information about the events over the network to the matched subscribers. We call this the distribution method problem. Some of these same concepts can be applied to match publications to subscribers in real-time, and also to determine dynamically whether to unicast, multicast or broadcast information about the events over the network to the matched subscribers. We demonstrate the quality of our algorithms via a number of realistic simulation experiments.
You Can Hear But You Cannot Steal: Defending Against Voice Impersonation Attacks on Smartphones

Voice, as a convenient and efficient way of information delivery, has a significant advantage over the conventional keyboard-based input methods, especially on small mobile devices such as smartphones and smartwatches. However, the human voice could often be exposed to the public, which allows an attacker to quickly collect sound samples of targeted victims and further launch voice impersonation attacks to spoof those voice-based applications. In this paper, we propose the design and implementation of a robust software-only voice impersonation defense system, which is tailored for mobile platforms and can be easily integrated with existing off-the-shelf smart devices. In our system, we explore magnetic field emitted from loudspeakers as the essential characteristic for detecting machine-based voice impersonation attacks. Furthermore, we use a state-of-the-art automatic speaker verification system to defend against human imitation attacks. Finally, our evaluation results show that our system achieves simultaneously high accuracy (100%) and low equal error rates (EERs) (0%) in detecting the machine-based voice impersonation attack on smartphones.
European Recommendations on Organisation of Interventional Care in Acute Stroke (EROICAS)

Five recently published randomized controlled trials (RCTs) and respective meta-analyses provide strong evidence that endovascular thrombectomy (EVT) combined with best medical treatment, including intravenous (IV) tissue plasminogen activator (tPA) (IV thrombolysis, IVT) for eligible patients, improves the outcomes of appropriately selected patients with acute ischemic stroke in the setting of proximal occlusions in the carotid circulation (large vessel occlusion, LVO). Four out of the five studies were stopped early after a first RCT showed the superiority of EVT combined with medical management over medical management alone. Such premature trial termination will on average lead to overestimation of the treatment effect. Nonetheless, since all fiveRCTs showed consistent benefit of EVT over optimal medical management alone, and a dose–effect relation (reperfusion rates vs. clinical outcome), the benefit of EVT is considered established. After the publication of the ‘‘Consensus statement by ESO-Karolinska Stroke Update’’ as timely response to the new evidence, the purpose of EROICAS is to provide recommendations based on a structured collaborative process conducted by six relevant European professional societies.