Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection and a possible link between parvovirus B19 and thyroid cancer

Human parvovirus B19 (B19) is a small, non-enveloped virus and belongs to Parvoviridae family. B19 persists in many tissues such as thyroid tissue and even thyroid cancer. The main aim of this study was to determine the presence of B19, its association with increased inflammation in thyroid tissue, and thus its possible role in thyroid cancer progression. Studies have shown that virus replication in non-permissive tissue leads to overexpression of non-structural protein and results in upregulation of proinflammatory cytokines such as interleukin 6 and tumor necrosis factor alpha. A total of 36 paraffin-embedded thyroid specimens and serum were collected from patients and 12 samples were used as control. Various methods were employed, including polymerase chain reaction, real-time polymerase chain reaction, and enzyme-linked immunosorbent assay. The results have shown the presence of B19 DNA in 31 of 36 samples (86.11%). Almost in all samples, the levels of non-structural protein 1, nuclear factor kappa B, tumor necrosis factor alpha, and interleukin 6 were simultaneously high. The presence of parvovirus B19 has a significant positive correlation with nuclear factor kappa B, tumor necrosis factor alpha, and interleukin 6 levels. This study suggests that B19 infection may play an important role in tumorigenesis and thyroid cancer development via the inflammatory mechanisms.
Study of Gram Matrices in Fock Representation of Multiparametric Canonical Commutation Relations, Extended Zagier's Conjecture, Hyperplane Arrangements and Quantum Groups

In this Colloqium Lecture (by one of the authors (D.S)) a thorough presentation of the authors' research on the subjects, stated in the title, is given. By quite laborious mathematics it is explained how one can handle systems in which each Heisenberg commutation relation is deformed separately. For Hilbert space realizability a detailed determinant computations (extending Zagier's one-parameter formulas) are carried out. The inversion problem of the associated Gram matrices on Fock weight spaces is completely solved (Extended Zagier's conjecture) and a counterexample (for $n=8$) to the original Zagier's conjecture is presented in detail.
Potential of carbohydrate‐binding agents as therapeutics against enveloped viruses

Twenty‐seven years after the discovery of HIV as the cause of AIDS more than 25 drugs directed against four different viral targets (i.e. reverse transcriptase, protease, integrase, envelope gp41) and one cellular target (i.e. CCR5 co‐receptor) are available for treatment. However, the search for an efficient vaccine is still ongoing. One of the main problems is the presence of a continuously evolving dense carbohydrate shield, consisting of N‐linked glycans that surrounds the virion and protects it against efficient recognition and persistent neutralization by the immune system. However, several lectins from the innate immune system specifically bind to these glycans in an attempt to process the virus antigens to provoke an immune response. Across a wide variety of different species in nature lectins can be found that can interact with the glycosylated envelope of HIV‐1 and can block the infection of susceptible cells by the virus. In this review, we will give an overview of the lectins from non‐mammalian origin that are endowed with antiviral properties and discuss the complex interactions between lectins of the innate immune system and HIV‐1. Also, attention will be given to different carbohydrate‐related modalities that can be exploited for antiviral chemotherapy. © 2010 Wiley Periodicals, Inc. Med Res Rev
FAST AND WIDE RANGE VOLTAGE CONVERSION IN MULTISUPPLY VOLTAGE DESIGNS

Level shifter (LS) is inserted between two modules when low voltage drives high voltage modules. Multi supply voltage is used to reduce the static and dynamic power consumption. Multi supply voltage domain (MSVD) technique consists of portioning the design into separate voltage domain. So the time critical domain runs at higher power supply voltage where non-critical domain is runs at lower power supply voltage. The conventional multithreshold CMOS (MTCMOS) greatly reduces the leakage power. But it does wide voltage conversion range is not achieved in level shifter design. So we use a multiple level shifter instead of single level shifter with multi threshold CMOS device. The multiple level shifter design can be achieved the conversion voltage range of 180 mV to 1V. Post layout simulation results demonstrate that the new level shifter shows a propagation delay of 16.6ns, a static power dissipation of 8.7nW and total energy per transition of only 77fJ. It can be designed by using 90nm technology.
Threat Appeals: The Fear–Persuasion Relationship is Linear and Curvilinear

ABSTRACT Drive theory may be seen as the first scientific theory of health and risk communication. However, its prediction of a curvilinear association between fear and persuasion is generally held to be incorrect. A close rereading of Hovland et al. reveals that within- and between-persons processes were conflated. Using a message that advocated obtaining a screening for colonoscopy, this study (N = 259) tested both forms of the inverted-U hypothesis. In the between-persons data, analyses revealed a linear effect that was consistent with earlier investigations. However, the data showed an inverted-U relationship in within-persons data. Hence, the relationship between fear and persuasion is linear or curvilinear depending on the level of analysis.
Stability of Nonlinear Stochastic Volterra Difference Equations with Respect to a Fading Perturbation

The paper concerns studies the stochastic stability and stochastic asymptotic stability of the equilibrium solution of a nonlinear Volterra difference equation which is subject to stochastic state independent disturbances. It is shown that if the linearized deterministic equation has summable solutions, then the nonlinear stochastic equation will be stable or asymptotically stable, provided that the initial condition, and the intensity of the stochastic disturbances are sufficiently small. The smallness of the intensity follows closely the conditions required for the stability of the stochastically perturbed linear Volterra difference equation.
Nuclear inner membrane fusion facilitated by yeast Jem1p is required for spindle pole body fusion but not for the first mitotic nuclear division during yeast mating

During mating of budding yeast, Saccharomyces cerevisiae, two haploid nuclei fuse to produce a diploid nucleus. The process of nuclear fusion requires two J proteins, Jem1p in the endoplasmic reticulum (ER) lumen and Sec63p, which forms a complex with Sec71p and Sec72p, in the ER membrane. Zygotes of mutants defective in the functions of Jem1p or Sec63p contain two haploid nuclei that were closely apposed but failed to fuse. Here we analyzed the ultrastructure of nuclei in jem1Δ and sec71Δ mutant zygotes using electron microscope with the freeze‐substituted fixation method. Three‐dimensional reconstitution of nuclear structures from electron microscope serial sections revealed that Jem1p facilitates nuclear inner‐membrane fusion and spindle pole body (SPB) fusion while Sec71p facilitates nuclear outer‐membrane fusion. Two haploid SPBs that failed to fuse could duplicate, and mitotic nuclear division of the unfused haploid nuclei started in jem1Δ and sec71Δ mutant zygotes. This observation suggests that nuclear inner‐membrane fusion is required for SPB fusion, but not for SPB duplication in the first mitotic cell division.
QED commutation relations for inhomogeneous Kramers-Kronig dielectrics

Recently a quantization scheme for the phenomenological Maxwell theory of the full electromagnetic field in an inhomogeneous three-dimensional, dispersive, and absorbing dielectric medium has been developed and applied to a system consisting of two infinite half-spaces with a common planar interface (H.T. Dung, L. Kn\"oll, and D.-G. Welsch, Phys. Rev. A 57, 3931 (1998)). Here we show that the scheme, which is based on the classical Green-tensor integral representation of the electromagnetic field, applies to any inhomogeneous medium. For this purpose we prove that the fundamental equal-time commutation relations of QED are preserved for an arbitrarily space-dependent, Kramers-Kronig consistent permittivity. Further, an extension of the quantization scheme to linear media with bounded regions of amplification is given, and the problem of anisotropic media is briefly addressed.
ArtNova: touch-enabled 3D model design

We present a system, ArtNova, for 3D model design with a haptic interface. ArtNova offers the novel capability of interactively applying textures onto 3D surfaces directly by brush strokes, with the orientation of the texture determined the stroke. Building upon the framework of inTouch (Gregory et al., 2000), it further provides an intuitive physically-based force response when deforming a model. This system also uses a user-centric viewing technique that seamlessly integrates the haptic and visual presentation, by taking into account the user's haptic manipulation in dynamically determining the new viewpoint locations. Our algorithm permits automatic placement of the user viewpoint to navigate about the object. ArtNova has been tested by several users and they were able to start modeling and painting with just a few minutes of training. Preliminary user feedback indicates promising potential for 3D texture painting and modeling.
A Theory of Volatility Spreads

This study formalizes the departure between risk-neutral and physical index return volatilities, termed volatility spreads. Theoretically, the departure between risk-neutral and physical index volatility is connected to the higher-order physical return moments and the parameters of the pricing kernel process. This theory predicts positive volatility spreads when investors are risk averse, and when the physical index distribution is negatively skewed and leptokurtic. Our empirical evidence is supportive of the theoretical implications of risk aversion, exposure to tail events, and fatter left-tails of the physical index distribution in markets where volatility is traded.
Variability and systematic differences in normal, protan, and deutan color naming

The congenital color vision deficient (CVD) generally demonstrates difficulties in color naming tasks. In our study we investigated color naming properties and uncertainties of a relatively large group of red–green CVDs using quasi monochromatic stimuli and seven basic color terms. The results show a large variability in color naming for the CVD when contrasted to normal color vision and similar alterations when comparing protans to deutans. Statistically significant differences were found in specific wavelength ranges between the tested groups. In general, protans and deutans have shown better color naming ability than expected, which suggests the use of non-chromatic visual cues.
Decreased Ceftriaxone Susceptibility in Emerging (35B and 6C) and Persisting (19A) Streptococcus pneumoniae Serotypes in the United States, 2011-2012: Ceftaroline Remains Active In Vitro among β-Lactam Agents

ABSTRACT Totals of 8.7% (103/1,190) and 21.0% (249/1,190) of the Streptococcus pneumoniae isolates recovered from specimens collected in the United States during the 2011-2012 AWARE (Assessing Worldwide Antimicrobial Resistance Evaluation) Surveillance Program were ceftriaxone nonsusceptible according to the CLSI (≤1 μg/ml for susceptible) and EUCAST (≤0.5 μg/ml for susceptible) criteria, respectively. Decreased susceptibility to ceftriaxone (MIC, 1 μg/ml) was frequently observed among serotypes 19A (51.4%; 128/249) and 35B (29.7%; 74/249), which were most often observed in the East South Central and South Atlantic U.S. Census regions. Ceftaroline (MIC50/90, 0.12/0.25 μg/ml) remained active (≥96.8% susceptible) when tested against these less susceptible isolates.
SPI Drought Class Predictions Driven by the North Atlantic Oscillation Index Using Log-Linear Modeling

This study aims at predicting the Standard Precipitation Index (SPI) drought class transitions in Portugal, considering the influence of the North Atlantic Oscillation (NAO) as one of the main large-scale atmospheric drivers of precipitation and drought fields across the Western European and Mediterranean areas. Log-linear modeling of the drought class transition probabilities on three temporal steps (dimensions) was used in an SPI time series of six- and 12-month time scales (SPI6 and SPI12) obtained from Global Precipitation Climatology Centre (GPCC) precipitation datasets with 1.0 degree of spatial resolution for 10 grid points over Portugal and a length of 112 years (1902–2014). The aim was to model two monthly transitions of SPI drought classes under the influence of the NAO index in its negative and positive phase in order to obtain improvements in the predictions relative to the modeling not including the NAO index. The ratios (odds ratio) between transitional probabilities and their confidence intervals were computed in order to estimate the probability of one drought class transition over another. The prediction results produced by the model with the forcing of NAO were compared with the results produced by the same model without that forcing, using skill scores computed for the entire time series length. Overall results have shown good prediction performance, ranging from 73% to 76% in the percentage of corrects (PC) and 56%–62% in the Heidke skill score (HSS) regarding the SPI6 application and ranging from 82% to 85% in the PC and 72%–76% in the HSS for the SPI12 application. The model with the NAO forcing led to improvements in predictions of about 1%–6% (PC) and 1%–8% (HSS), when applied to SPI6, but regarding SPI12 only seven of the locations presented slight improvements of about 0.4%–1.8% (PC) and 0.7%–3% (HSS).
Virtual Reality Induces Dissociation and Lowers Sense of Presence in Objective Reality

This study utilizes an innovative experimental paradigm to investigate the effects of virtual reality (VR) on dissociative experience and the sense of presence. A nonclinical sample of 30 people were administered measures of dissociation, sense of presence, and immersion before and after an immersion in a virtual environment. Results indicate an increase in dissociative experience (depersonalization and derealization), including a lessened sense of presence in objective reality as the result of exposure to VR. Higher preexisting levels of dissociation and a tendency to become more easily absorbed or immersed were associated with higher increases in dissociative symptoms resulting from VR immersion. Results are discussed in terms of imaginative processes underlying the dissociative experience and potential implications to the treatment of anxiety disorders with VR.
Mapping US Urban Extents from MODIS Data Using One-Class Classification Method

Urban areas are one of the most important components of human society. Their extents have been continuously growing during the last few decades. Accurate and timely measurements of the extents of urban areas can help in analyzing population densities and urban sprawls and in studying environmental issues related to urbanization. Urban extents detected from remotely sensed data are usually a by-product of land use classification results, and their interpretation requires a full understanding of land cover types. In this study, for the first time, we mapped urban extents in the continental United States using a novel one-class classification method, i.e., positive and unlabeled learning (PUL), with multi-temporal Moderate Resolution Imaging Spectroradiometer (MODIS) data for the year 2010. The Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) night stable light data were used to calibrate the urban extents obtained from the one-class classification scheme. Our results demonstrated the effectiveness of the use of the PUL algorithm in mapping large-scale urban areas from coarse remote-sensing images, for the first time. The total accuracy of mapped urban areas was 92.9% and the kappa coefficient was 0.85. The use of DMSP-OLS night stable light data can significantly reduce false detection rates from bare land and cropland far from cities. Compared with traditional supervised classification methods, the one-class classification scheme can greatly reduce the effort involved in collecting training datasets, without losing predictive accuracy.
Measuring Health Literacy in Caregivers of Children

Objective. We examined the performance of the Newest Vital Sign (NVS) and the Short Test of Functional Health Literacy in Adults (S-TOFHLA) in caregivers of children. Method. Caregivers of children ≤12 years old seeking care for their child in a pediatric emergency department (ED) were tested using the NVS and the S-TOFHLA to measure health literacy. The results were compared with ED use outcomes. Result. The S-TOFHLA was found to have a ceiling effect as compared to the NVS; few caregivers scored in low literacy categories (P < .0001). This finding was demonstrated in both lower (P = .01) and higher (P < .001) educational attainment groups. The NVS was predictive of ED use outcomes (P = .02 and P < .01) whereas the S-TOFHLA was not (P = .21 and P = .11). Conclusions. The measures do not seem to function similarly nor predict health outcomes equally. The NVS demonstrates sensitivity in identifying limited health literacy in younger adult populations.
Extremophiles in biofuel synthesis

The current global energy situation has demonstrated an urgent need for the development of alternative fuel sources to the continually diminishing fossil fuel reserves. Much research to address this issue focuses on the development of financially viable technologies for the production of biofuels. The current market for biofuels, defined as fuel products obtained from organic substrates, is dominated by bioethanol, biodiesel, biobutanol and biogas, relying on the use of substrates such as sugars, starch and oil crops, agricultural and animal wastes, and lignocellulosic biomass. This conversion from biomass to biofuel through microbial catalysis has gained much momentum as biotechnology has evolved to its current status. Extremophiles are a robust group of organisms producing stable enzymes, which are often capable of tolerating changes in environmental conditions such as pH and temperature. The potential application of such organisms and their enzymes in biotechnology is enormous, and a particular application is in biofuel production. In this review an overview of the different biofuels is given, covering those already produced commercially as well as those under development. The past and present trends in biofuel production are discussed, and future prospects for the industry are highlighted. The focus is on the current and future application of extremophilic organisms and enzymes in technologies to develop and improve the biotechnological production of biofuels.
Majorana bound state in a coupled quantum-dot hybrid-nanowire system

Watching Majorana bound states form Majorana bound states (MBSs) are peculiar quasiparticles that may one day become the cornerstone of topological quantum computing. To engineer these states, physicists have used semiconductor nanowires in contact with a superconductor. Although many of the observed properties align with theoretical predictions, a closer look into the creation of MBSs is desirable. Deng et al. fabricated nanowires with a quantum dot at one end that served as a spectrometer for the states that formed inside the superconducting gap of the nanowire. Using this setup, topologically trivial bound states were seen to coalesce into MBSs as the magnetic field was varied. Science, this issue p. 1557 Tunneling spectroscopy gives insights into the formation of Majorana bound states in a proximitized indium arsenide nanowire. Hybrid nanowires combining semiconductor and superconductor materials appear well suited for the creation, detection, and control of Majorana bound states (MBSs). We demonstrate the emergence of MBSs from coalescing Andreev bound states (ABSs) in a hybrid InAs nanowire with epitaxial Al, using a quantum dot at the end of the nanowire as a spectrometer. Electrostatic gating tuned the nanowire density to a regime of one or a few ABSs. In an applied axial magnetic field, a topological phase emerges in which ABSs move to zero energy and remain there, forming MBSs. We observed hybridization of the MBS with the end-dot bound state, which is in agreement with a numerical model. The ABS/MBS spectra provide parameters that are useful for understanding topological superconductivity in this system.
Gemtuzumab ozogamicin in non-acute promyelocytic acute myeloid leukemia

Introduction: Gemtuzumab ozogamicin (GO) has been used in relapsed, refractory and newly diagnosed acute myeloid leukemia (AML) as a single agent and in combination with intensive chemotherapy. Results of recent Phase III trials have led to its withdrawal in the USA although a beneficial effect of GO in genetically defined AML subgroups was evident. Areas covered: This review examines the use of GO as a single agent or in combination with intensive chemotherapy in non-acute promyelocytic AML. The literature search was based on publications on GO indexed in the PubMed electronic database and selected meeting abstracts. GO has shown moderate activity as a single agent but promising activity in combination with intensive chemotherapy in refractory or relapsed AML. Relapsed AML defined molecularly by mutant nucleophosmin-1 without concurrent fms-related tyrosine kinase 3 (FLT3) internal tandem duplication seems to benefit most from GO. In newly diagnosed AML two up-front randomized Phase III trials evaluating GO in induction therapy failed to demonstrate an improvement in response and survival. Again, genetically defined subgroups may benefit. Expert opinion: Future challenges of personalized therapy in AML will be to integrate the signals from current subgroup analyses underlining the role of GO in genetically defined AML entities.
Adaptive noise attenuation of seismic image using singular value decomposition and texture direction detection

Singular value decomposition (SVD) is an efficient tool for separation of signal and noise subspace. When it is used to process seismic image, SVD can enhance the signal-to-noise ratio (SNR) of horizontal events effectively. An adaptive SVD filter is proposed to enhance the non-horizontal events by detecting seismic image texture direction and then adjusting the input matrix of SVD. The features derived from the co-occurrence matrix are used to detect the texture direction. The parameter of the SVD filter is designed by the ratio of the stacking energy along the detected direction and the energy of the whole image adaptively. The coherent noise events are recognized by their direction difference from the signal events and attenuated by high-rank approximation firstly. Then the signal events are enhanced by low-rank approximation.