Miracle-dz/UniFAR-FTUs huggingface dataset:
Tumor involvement in hepatic veins: comparison of MR imaging and US for preoperative assessment.

PURPOSE To compare use of magnetic resonance (MR) imaging and ultrasonography (US) for diagnosis of vascular involvement by tumor at the hepatic vein confluence. MATERIALS AND METHODS Thirty-seven consecutive patients with tumors at the hepatic vein confluence were prospectively evaluated with spin-echo and gradient-echo MR imaging and gray-scale and Doppler US. Encasement, thrombosis, occlusion, and nonvisualization were considered to be evidence of vascular involvement. Imaging results were compared with surgical and pathologic examination findings in 27 patients who underwent resection. RESULTS Sixteen hepatic veins (nine right, four middle, three left) were seen to be involved at surgery. Twelve of 16 involved veins were identified at MR imaging (75% sensitivity, 98% specificity, 92% positive predictive value, 94% negative predictive value). Thirteen of 16 involved veins were detected at US (81% sensitivity, 97% specificity, and 87% positive and 95% negative predictive values). There was one false-positive diagnosis of inferior vena cava involvement at both MR imaging and US. Ten patients had unresectable disease. One patient had motion artifact on MR images; in the remaining nine patients, MR imaging and US yielded identical findings at 26 of 27 hepatic vein sites. CONCLUSION MR imaging and US provide comparable results for assessment of hepatic vein involvement by tumor.
Type 1 Fimbriae, a Colonization Factor of Uropathogenic Escherichia coli, Are Controlled by the Metabolic Sensor CRP-cAMP

Type 1 fimbriae are a crucial factor for the virulence of uropathogenic Escherichia coli during the first steps of infection by mediating adhesion to epithelial cells. They are also required for the consequent colonization of the tissues and for invasion of the uroepithelium. Here, we studied the role of the specialized signal transduction system CRP-cAMP in the regulation of type 1 fimbriation. Although initially discovered by regulating carbohydrate metabolism, the CRP-cAMP complex controls a major regulatory network in Gram-negative bacteria, including a broad subset of genes spread into different functional categories of the cell. Our results indicate that CRP-cAMP plays a dual role in type 1 fimbriation, affecting both the phase variation process and fimA promoter activity, with an overall repressive outcome on fimbriation. The dissection of the regulatory pathway let us conclude that CRP-cAMP negatively affects FimB-mediated recombination by an indirect mechanism that requires DNA gyrase activity. Moreover, the underlying studies revealed that CRP-cAMP controls the expression of another global regulator in Gram-negative bacteria, the leucine-responsive protein Lrp. CRP-cAMP-mediated repression is limiting the switch from the non-fimbriated to the fimbriated state. Consistently, a drop in the intracellular concentration of cAMP due to altered physiological conditions (e.g. growth in presence of glucose) increases the percentage of fimbriated cells in the bacterial population. We also provide evidence that the repression of type 1 fimbriae by CRP-cAMP occurs during fast growth conditions (logarithmic phase) and is alleviated during slow growth (stationary phase), which is consistent with an involvement of type 1 fimbriae in the adaptation to stress conditions by promoting biofilm growth or entry into host cells. Our work suggests that the metabolic sensor CRP-cAMP plays a role in coupling the expression of type 1 fimbriae to environmental conditions, thereby also affecting subsequent attachment and colonization of host tissues.
Learning Face Hallucination in the Wild

Face hallucination method is proposed to generate high-resolution images from low-resolution ones for better visualization. However, conventional hallucination methods are often designed for controlled settings and cannot handle varying conditions of pose, resolution degree, and blur. In this paper, we present a new method of face hallucination, which can consistently improve the resolution of face images even with large appearance variations. Our method is based on a novel network architecture called Bi-channel Convolutional Neural Network (Bi-channel CNN). It extracts robust face representations from raw input by using deep convolutional network, then adaptively integrates two channels of information (the raw input image and face representations) to predict the high-resolution image. Experimental results show our system outperforms the prior state-of-the-art methods.
Antifibrotic effects of luteolin on hepatic stellate cells and liver fibrosis by targeting AKT/mTOR/p70S6K and TGFβ/Smad signalling pathways

Luteolin has been reported to exert antifibrogenic effects in CCl4‐induced hepatic fibrosis in mice. However, limited information is available on the cellular and molecular events responsible for this effect. This study focused on the action of luteolin on hepatic stellate cells (HSCs) and the relevant signalling molecules and pathways as well as the antifibrotic efficacy in multiple models of fibrosis.
Effects of immunosuppression on encephalitis virus infection in the house finch, Carpodacus mexicanus

Abstract Immunosuppression of house finches was attempted by blood feeding Culex tarsalis Coquillett mosquitoes or by injecting birds with the corticosteroid dexamethasone or the immunosuppressant drug cyclophosphamide before and after inoculation with western equine encephalomyelitis or St. Louis encephalitis viruses. Mosquito bites (8–37 females blood feeding on each bird over a 3-d period) did not enhance the viremia response or increase the frequency of chronic infection. In contrast, dexamethasone and cyclophosphamide enhanced the amplitude and duration of the viremia response, but had no consistent effect on the antibody responses as measured by enzyme immunoassay or plaque reduction neutralization assay. Elevated viremias were followed by increases in the frequency of chronic infections with St. Louis encephalitis, but not western equine encephalomyelitis. Immunosuppression may provide a useful tool to study the chronic infection process of flaviviruses in vertebrates.
"It's Kind of Context Dependent": Understanding Blind and Low Vision People's Video Accessibility Preferences Across Viewing Scenarios

While audio description (AD) is the standard approach for making videos accessible to blind and low vision (BLV) people, existing AD guidelines do not consider BLV users' varied preferences across viewing scenarios. These scenarios range from how-to videos on YouTube, where users seek to learn new skills, to historical dramas on Netflix, where a user's goal is entertainment. Additionally, the increase in video watching on mobile devices provides an opportunity to integrate nonverbal output modalities (e.g., audio cues, tactile elements, and visual enhancements). Through a formative survey and 15 semi-structured interviews, we identified BLV people's video accessibility preferences across diverse scenarios. For example, participants valued action and equipment details for how-to videos, tactile graphics for learning scenarios, and 3D models for fantastical content. We define a six-dimensional video accessibility design space to guide future innovation and discuss how to move from"one-size-fits-all"paradigms to scenario-specific approaches.
AIIDA-SQL: An Adaptive Intelligent Intrusion Detector Agent for detecting SQL Injection attacks

SQL Injection attacks on web applications have become one of the most important information security concerns over the past few years. This paper presents a hybrid approach based on the Adaptive Intelligent Intrusion Detector Agent (AIIDA-SQL) for the detection of those attacks. The AIIDA-SQL agent incorporates a Case-Based Reasoning (CBR) engine which is equipped with learning and adaptation capabilities for the classification of SQL queries and detection of malicious user requests. To carry out the tasks of attack classification and detection, the agent incorporates advanced algorithms in the reasoning cycle stages. Concretely, an innovative classification model based on a mixture of an Artificial Neuronal Network together with a Support Vector Machine is applied in the reuse stage of the CBR cycle. This strategy enables to classify the received SQL queries in a reliable way. Finally, a projection neural technique is incorporated, which notably eases the revision stage carried out by human experts in the case of suspicious queries. The experimental results obtained on a real-traffic case study show that AIIDA-SQL performs remarkably well in practice.
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks

Machine learning techniques for cybersecurity-related software engineering tasks are becoming increasingly popular. The representation of source code is a key portion of the technique that can impact the way the model is able to learn the features of the source code. With an increasing number of these techniques being developed, it is valuable to see the current state of the field to better understand what exists and what's not there yet. This paper presents a study of these existing ML-based approaches and demonstrates what type of representations were used for different cybersecurity tasks and programming languages. Additionally, we study what types of models are used with different representations. We have found that graph-based representations are the most popular category of representation, and Tokenizers and Abstract Syntax Trees (ASTs) are the two most popular representations overall. We also found that the most popular cybersecurity task is vulnerability detection, and the language that is covered by the most techniques is C. Finally, we found that sequence-based models are the most popular category of models, and Support Vector Machines (SVMs) are the most popular model overall.
Comparison between signal‐to‐noise ratio, liver‐to‐muscle ratio, and 1/T2 for the noninvasive assessment of liver iron content by MRI

To compare different MRI‐derived parameters, i.e., liver signal‐to‐noise ratio (LSNR), liver‐to‐muscle ratio (LMR) and liver transversal relaxation rate (R2), in terms of their correlation with the ex vivo determined iron content in an experimental model of liver iron overload.
TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models

KEPLMs are pre-trained models that utilize external knowledge to enhance language understanding. Previous language models facilitated knowledge acquisition by incorporating knowledge-related pre-training tasks learned from relation triples in knowledge graphs. However, these models do not prioritize learning embeddings for entity-related tokens. Moreover, updating the entire set of parameters in KEPLMs is computationally demanding. This paper introduces TRELM, a Robust and Efficient Pre-training framework for Knowledge-Enhanced Language Models. We observe that entities in text corpora usually follow the long-tail distribution, where the representations of some entities are suboptimally optimized and hinder the pre-training process for KEPLMs. To tackle this, we employ a robust approach to inject knowledge triples and employ a knowledge-augmented memory bank to capture valuable information. Furthermore, updating a small subset of neurons in the feed-forward networks (FFNs) that store factual knowledge is both sufficient and efficient. Specifically, we utilize dynamic knowledge routing to identify knowledge paths in FFNs and selectively update parameters during pre-training. Experimental results show that TRELM reduces pre-training time by at least 50% and outperforms other KEPLMs in knowledge probing tasks and multiple knowledge-aware language understanding tasks.
Trade Openness Reduces Growth Volatility When Countries are Well Diversified

This paper addresses the mechanisms by which trade openness affects growth volatility. Using a diverse set of export diversification indicators, it presents strong evidence pointing to an important role for export diversification in reducing the effect of trade openness on growth volatility. The authors also identify positive thresholds for product diversification at which the effect of openness on volatility changes sign. The effect is shown to be positive only for a minority of countries with highly concentrated export baskets. This result is shown to be robust to both explicit accounting for endogeneity as well as the inclusion of a host of additional controls.
Nutritional Programming of Accelerated Puberty in Heifers: Involvement of Pro‐Opiomelanocortin Neurones in the Arcuate Nucleus

The timing of puberty and subsequent fertility in female mammals are dependent on the integration of metabolic signals by the hypothalamus. Pro‐opiomelanocortin (POMC) neurones in the arcuate nucleus (ARC) comprise a critical metabolic‐sensing pathway controlling the reproductive neuroendocrine axis. α‐Melanocyte‐stimulating hormone (αMSH), a product of the POMC gene, has excitatory effects on gonadotrophin‐releasing hormone (GnRH) neurones and fibres containing αMSH project to GnRH and kisspeptin neurones. Because kisspeptin is a potent stimulator of GnRH release, αMSH may also stimulate GnRH secretion indirectly via kisspeptin neurones. In the present work, we report studies conducted in young female cattle (heifers) aiming to determine whether increased nutrient intake during the juvenile period (4–8 months of age), a strategy previously shown to advance puberty, alters POMC and KISS1 mRNA expression, as well as αMSH close contacts on GnRH and kisspeptin neurones. In Experiment 1, POMC mRNA expression, detected by in situ hybridisation, was greater (P < 0.05) in the ARC in heifers that gained 1 kg/day of body weight (high‐gain, HG; n = 6) compared to heifers that gained 0.5 kg/day (low‐gain, LG; n = 5). The number of KISS1‐expressing cells in the middle ARC was reduced (P < 0.05) in HG compared to LG heifers. In Experiment 2, double‐immunofluorescence showed limited αMSH‐positive close contacts on GnRH neurones, and the magnitude of these inputs was not influenced by nutritional status. Conversely, a large number of kisspeptin‐immunoreactive cells in the ARC were observed in close proximity to αMSH‐containing varicosities. Furthermore, HG heifers (n = 5) exhibited a greater (P < 0.05) percentage of kisspeptin neurones in direct apposition to αMSH fibres and an increased (P < 0.05) number of αMSH close contacts per kisspeptin cell compared to LG heifers (n = 6). These results indicate that the POMC‐kisspeptin pathway may be important in mediating the nutritional acceleration of puberty in heifers.
Giant exchange splitting in the electronic structure of A-type 2D antiferromagnet CrSBr

In the field of 2D magnetic semiconductors, CrSBr has been the focus of research due to its intriguing magnetic, transport and optical properties that have potential to underpin novel devices. Here we present the evolution of the electronic structure of CrSBr from its antiferromagnetic ground state to the paramagnetic phase. The ground state photoemission data, obtained using a novel method to overcome sample charging issues, is very well reproduced by $\mathbf{QSG\hat{W}}$ calculations, a self-consistent many-body perturbative approach that computes electronic eigenfunctions in presence of excitonic correlations. The electronic structure is complex at $\mathbf{\Gamma}$, but simplifies at the X points of the Brillouin zone where the non-symmorphic lattice symmetry enforces band degeneracies. In the vicinity of these X points, in the deeper-lying valence bands one can identify pairs of states with mainly Br- and S- character. The energy splitting between them is understood as an exchange splitting within the individual layers in which the spins all align, despite the absence of a net magnetic moment in the so-called A-type antiferromagnetic arrangement. By tracing band positions as a function of temperature, we identify that this exchange splitting disappears above $T_N$, alongside a significant increase in the spectral broadening in all states.
Zero-Inflated Stochastic Volatility Model for Disaggregated Inflation Data with Exact Zeros

The disaggregated time-series data for Consumer Price Index often exhibits frequent instances of exact zero price changes, stemming from measurement errors inherent in the data collection process. However, the currently prominent stochastic volatility model of trend inflation is designed for aggregate measures of price inflation, where exact zero price changes rarely occur. We propose a zero-inflated stochastic volatility model applicable to such nonstationary real-valued multivariate time-series data with exact zeros, by a Bayesian dynamic generalized linear model that jointly specifies the dynamic zero-generating process. We also provide an efficient custom Gibbs sampler that leverages the P\'olya-Gamma augmentation. Applying the model to disaggregated Japanese Consumer Price Index data, we find that the zero-inflated model provides more sensible and informative estimates of time-varying trend and volatility. Through an out-of-sample forecasting exercise, we find that the zero-inflated model provides improved point forecasts when zero-inflation is prominent, and better coverage of interval forecasts of the non-zero data by the non-zero distributional component.
A Classical Chiral Spin-Liquid from Chiral Interactions on the Pyrochlore Lattice

Classical spin-liquids are paramagnetic phases which feature nontrivial patterns of spin correlations within their ground-state manifold whose degeneracy scales with system size. Often they harbor fractionalized excitations, and their low-energy fluctuations are described by emergent gauge theories. In this work, we discuss a model composed of chiral three-body spin interactions on the pyrochlore lattice that realizes a novel classical chiral spin-liquid. Employing both analytical and numerical techniques, we show that the ground-state manifold of this spin-liquid is given by a subset of the so-called color-ice states. We demonstrate that the ground states are captured by an effective gauge theory which possesses a divergence-free condition and an additional chiral term that constrains the total flux of the fields through a single tetrahedron. The divergence-free condition results in two-fold pinch points in the spin structure factor and the identification of bionic charges as the elementary excitations of the system. We discuss how the mobility of these elementary charges is restricted by the additional chiral term, which in turn suggests that these charges are fractons.
Towards a measurement instrument for determinants of innovations

Objective To develop a short instrument to measure determinants of innovations that may affect its implementation. Design We pooled the original data from eight empirical studies of the implementation of evidence-based innovations. The studies used a list of 60 potentially relevant determinants based on a systematic review of empirical studies and a Delphi study among implementation experts. Each study used similar methods to measure both the implementation of the innovation and determinants. Missing values in the final data set were replaced by plausible values using multiple imputation. We assessed which determinants predicted completeness of use of the innovation (% of recommendations applied). In addition, 22 implementation experts were consulted about the results and about implications for designing a short instrument. Setting Eight innovations introduced in Preventive Child Health Care or schools in the Netherlands. Participants Doctors, nurses, doctor's assistants and teachers; 1977 respondents in total. Results The initial list of 60 determinants could be reduced to 29. Twenty-one determinants were based on the pooled analysis of the eight studies, seven on the theoretical expectations of the experts consulted and one new determinant was added on the basis of the experts' practical experience. Conclusions The instrument is promising and should be further validated. We invite researchers to use and explore the instrument in multiple settings. The instrument describes how each determinant should preferably be measured (questions and response scales). It can be used both before and after the introduction of an innovation to gain an understanding of the critical change objectives.
Autocrine role of interleukin 1beta in altered responsiveness of atopic asthmatic sensitized airway smooth muscle.

The role of IL-1beta in regulating altered airway responsiveness in the atopic/asthmatic sensitized state was examined in isolated rabbit tracheal smooth muscle (TSM) tissue and cultured cells passively sensitized with sera from atopic asthmatic patients or nonatopic/nonasthmatic (control) subjects. During half-maximal isometric contraction of the tissues with acetylcholine, relative to control TSM, the atopic sensitized TSM exhibited significant attenuation of both their maximal relaxation (P < 0.001) and sensitivity (i.e., -log dose producing 50% maximal relaxation) to isoproterenol and PGE2 (P < 0.05), whereas the relaxation responses to direct stimulation of adenylate cyclase with forskolin were similar in both tissue groups. The impaired relaxation responses to isoproterenol and PGE2 were ablated in sensitized TSM that were pretreated with either the IL-1 recombinant human receptor antagonist or an IL-1beta-neutralizing antibody. Moreover, extended studies demonstrated that, in contrast to their respective controls, both passively sensitized rabbit TSM tissue and cultured cells exhibited markedly induced expression of IL-1beta mRNA at 6 h after exposure to the sensitizing serum, a finding similar to that also obtained in passively sensitized human bronchial smooth muscle tissue. Finally, unlike their respective controls, passively sensitized TSM tissue and cultured cells also displayed progressively enhanced release of IL-1beta protein into the culture media for up to 24 h after exposure to atopic/asthmatic serum. Collectively, these observations provide new evidence demonstrating that the altered responsiveness of atopic/asthmatic sensitized airway smooth muscle is largely attributed to its autologously induced expression and autocrine action of IL-1beta.
Quasinormal Modes and Universality of the Penrose Limit of Black Hole Photon Rings

We study the physics of photon rings in a wide range of axisymmetric black holes admitting a separable Hamilton-Jacobi equation for the geodesics. Utilizing the Killing-Yano tensor, we derive the Penrose limit of the black holes, which describes the physics near the photon ring. The obtained plane wave geometry is directly linked to the frequency matrix of the massless wave equation, as well as the instabilities and Lyapunov exponents of the null geodesics. Consequently, the Lyapunov exponents and frequencies of the photon geodesics, along with the quasinormal modes, can be all extracted from a Hamiltonian in the Penrose limit plane wave metric. Additionally, we explore potential bounds on the Lyapunov exponent, the orbital and precession frequencies, in connection with the corresponding inverted harmonic oscillators and we discuss the possibility of photon rings serving as holographic horizons in a holographic duality framework for astrophysical black holes. Our formalism is applicable to spacetimes encompassing various types of black holes, including stationary ones like Kerr, Kerr-Newman, as well as static black holes such as Schwarzschild, Reissner-Nordstr\"om, among others.