Miracle-dz/UniFAR-FTUs huggingface dataset:
Symptomatic Intracranial Hemorrhage after Ischemic Stroke Treated with Bridging Revascularization Therapy

(1) Background: bridging revascularization therapy is now the standard of care in patients with ischemic stroke due to large vessel occlusion. This study aimed to determine the frequency of symptomatic intracranial hemorrhage (sICH) related to this treatment, and to assess contributing factors and patients’ outcomes. (2) Methods: consecutive ischemic stroke patients treated with bridging therapy were prospectively enrolled. sICH (intracranial hemorrhage with an increase in NIHSS score of ≥4 points) was assessed on imaging at 24 h. The functional status of patients was measured at 6 months using the mRS score; (3) Results: 176 patients were included (mean age 68.7 ± 1.2 years, 52.3% women), among whom 15 (8.5%) had sICH. Patients with sICH had more frequent alcohol abuse (30.1% versus 9.7%, p = 0.023), prestroke use of dual antiplatelet therapy (14.3% versus 1.3%, p = 0.002), higher NIHSS scores at admission (median score 20.5 versus 15, p = 0.01), greater systolic blood pressure upon admission, more frequent vascular intracranial calcifications (p = 0.004), leukoaraiosis (p = 0.001), and intracranial atheroma (p = 0.02), and higher neutrophil-to-lymphocyte ratios (p = 0.02) and neutrophil-to-platelet ratios (p = 0.04). At 6-month follow-up, 9 (60%) patients with sICH died, versus 18% of patients without sICH (p < 0.001). Only 1 (7%) patient with sICH had a good functional outcome, defined as an mRS score of 0 to 2, versus 51% of patients without sICH. (4) Conclusions: one in twelve ischemic stroke patients treated with bridging therapy suffered sICH. Given the observed poor outcomes after sICH, further studies are required to better identify patients at risk to help clinicians in guiding therapeutic strategies.
Influence of gamma rays on the optical characteristics of CPVC/Ag nanocomposite film

In the current study carboxylated polyvinyl chloride/silver (CPVC/Ag) nanocomposite film was prepared. Samples from the CPVC/Ag nanocomposite film (1.5cm × 1.5 cm) were treated with 25–200 kGy gamma dosages. The optical characterization of the treated films has been investigated considering dosage by applying UV spectroscopy and colour difference studies. The optical bandgap, refractive index, Urbach energy, optical dielectric parameters, chromaticity coordinates, tristimulus values, colour intensity and colour intercepts have been calculated and interpreted based on gamma dosages. The bandgap decreased from 4.14 to 3.87 eV with augmenting the gamma dosage upto 200 kGy, together with a rise in the Urbach energy. This is attributed to the domination of crosslinks which damage the crystalline phase. Moreover, the non-treated CPVC/Ag is practically transparent. It demonstrated kindliness to change in colour by gamma treatment, as the colour intensity reached a value greater than 5, meaning permanent colour changes.
Design and Performance Analysis of a Transverse-Flux PMSG for Applications in Small Wind Turbines

This article is described step by step the methodology for dimensioning a transverse flux permanent magnet synchronous generator for applications in small wind turbines. The proposed methodology is based on the concepts of magnetic circuit theory which have been widely explained in the specialized literature. Due to the generator will be used in a wind turbine that works at variable speeds, it will be necessary to analyze its performance in a full range defined by operation speeds. Also, the performance is analyzed under no load and load conditions. The developed methodology is coded in MATLAB and it has been exhaustively validated through 3-D finite element analysis (FEA).
Impacto de las competencias tecnológicas de la industria 4.0 en la educación

La importancia de revisar las transformaciones tecnológicas e industriales en el tiempo sirve de base para conocer y prever cuáles serán los nuevos requisitos que exigirá el cambiante mundo laboral desde una visión de la formación profesional. Por lo tanto, el objetivo principal del trabajo fue identificar cuáles son las competencias en términos de tecnología que son requisito y necesidad primordial en los últimos avances tecnológicos como respuesta ante los desafíos tanto del aparato educativo a nivel profesional y laboral en sectores industriales. Para ello, la metodología utilizada fue de carácter descriptivo no experimental, propios del enfoque cualitativo. Por lo que, el trabajo constituye una revisión de literatura a través de una búsqueda sistematizada de documentos en diferentes plataformas. Los hallazgos más relevantes se centran en que las principales competencias tecnológicas que más demanda tienen por parte de la industria y del mundo del trabajo son aquellas en las que se basa la industria 4.0, tales como el big data, los robots, la simulación, los sistemas de integración, el internet de las cosas, la ciberseguridad, el cloud computing, la impresión 3D y la realidad aumentada.
Are the Least Frequently Chosen Distractors the Least Attractive?: The Case of a Four-Option Picture-Description Listening Test

This study reports on a replication of Iimura’s (2014) study on the attractiveness of distractors in multiple-choice listening tests. Sixty-eight Japanese university students were assessed on their correct responses in a picture-description task of an MC listening test (15 questions, four options each). During the listening test, the participants were asked to judge each of the four options as correct or incorrect and report the degree of confidence they had in their judgment. On the basis of the confidence level and correctness of response, confidence and attractiveness scores were generated. To assess how listening ability affected test-takers’ confidence and distractors’ attractiveness, three groups were developed on the basis of correct scores obtained on the listening test. The results of the replication study have confirmed the original study, suggesting that (a) the least frequently chosen distractors were not always the least attractive, (b) upper-level listeners were less attracted to distractors, and (c) upper-level listeners had greater confidence when responding with the correct answers. This article concludes that the conventional item analyses (i.e., response frequency and discriminatory power) are insufficient in evaluating the effectiveness of distractors, and a new kind of survey, in which test-takers can evaluate each distractor independently, should be incorporated in future MC test development.
Modeling High-Dimensional Data with Case-Control Sampling and Dependency Structures

Modern data sets in various domains often include units that were sampled non-randomly from the population and have a complex latent correlation structure. Here we investigate a common form of this setting, where every unit is associated with a latent variable, all latent variables are correlated, and the probability of sampling a unit depends on its response. Such settings often arise in case-control studies, where the sampled units are correlated due to spatial proximity, family relations, or other sources of relatedness. Maximum likelihood estimation in such settings is challenging from both a computational and statistical perspective, necessitating approximation techniques that take the sampling scheme into account. We propose a family of approximate likelihood approaches by combining state of the art methods from statistics and machine learning, including composite likelihood, expectation propagation and generalized estimating equations. We demonstrate the efficacy of our proposed approaches via extensive simulations. We utilize them to investigate the genetic architecture of several complex disorders collected in case-control genetic association studies, where hundreds of thousands of genetic variants are measured for every individual, and the underlying disease liabilities of individuals are correlated due to genetic similarity. Our work is the first to provide a tractable likelihood-based solution for case-control data with complex dependency structures.
hyperglycinemia: MR manifestations. Abnormalities of the brain in nonketotic

MR imaging in seven patients (4 days to 38 months old) with nonketotic hyperglycin emia showed age-related findings of progressive atrophy and delayed myelination. Parenchymal volume loss was found as early as 4 days after birth and increased in severity with increasing age to 27 months. Both supratentorial and infratentorial volume loss were present in the most severely affected patients. The corpus callosum was abnormally thin in all patients. The state of myelination of the CNS was assessed on T2-weighted images. Decreased or absent myelination within supratentorial white-matter tracts was detected in all four patients 10 months of age or older. Myelination of the brainstem and cerebellum progressed normally. No correlation was found between the degree of volume loss or abnormality of myelination demonstrated by MR and the concentration of glycine in the CSF
Hu Moment Invariant: A New Method for Hearing Loss Detection

This paper proposed a novel hearing loss detection method. Our method first used seven Hu moment invariants to extract features. Afterwards, we used support vector machine to act as the classifier. The 10x5-fold cross validation shows our method yielded an overall accuracy of 77.47± 1.17%. The sensitivities of healthy control, left-sided hearing loss, and right-sided hearing loss are 77.60± 5.72%, 77.60± 4.30%, and 77.20± 5.98%, respectively. In all, our method is effective in hearing loss identification. Introduction Hearing loss (HL) [1] is a type of hearing impairment. It may be caused by ageing, noise, infection, genetics, etc. Hence, testing for poor hearing is recommended for all new-born babies. Nevertheless, more than half of hearing loss is preventable [2]. Therefore, it is important to early detect hearing loss, and then give patients proper treatments. Currently, scholars proposed several feasible approaches. Li [3] proposed a fractional Fourier transform method. Jia [4] used deep autoencoder method. Wang [5] suggested to use dual-tree complex wavelet transform. Li [6] offered a new method using fitness-scaling adaptive genetic algorithm. Nayak [7] used stationary wavelet transform and Shannon entropy. Chen [8] gave a new method of using generalized eigenvalue proximal support vector machine. Gorriz [9] employed directed acyclic graph support vector machine. Except above literature, image processing [10, 11] techniques and artificial intelligence [12, 13] methods were already applied to medical image processing. Nevertheless, those methods are too complicated and time-consuming. In this study, we proposed a novel method that combined Hu moment invariant (HMI) and support vector machine. Our method also achieves good results for hearing loss identification. Materials We collected 75 magnetic resonance brain images from local hospitals. The dataset can be divided into three categories, including 25 healthy images, 25 left deafness images, and 25 right deafness images. Written consents were obtained from all subjects. Different types of hearing loss images are shown below in Figure.1 (a) healthy control (b) left-sided hearing loss (c) right-sided hearing loss Figure 1. Sample of brain images 412 Copyright © 2018, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). 2017 International Conference Advanced Engineering and Technology Research (AETR 2017) Advances in Engineering Research (AER), volume 153
Effect of pH and lipopolysaccharide on tight junction regulators and inflammatory markers in intestinal cells as an experimental model of weaning transition in dairy calves

Graphical Abstract Summary: The weaning process in dairy calves is characterized by a rapid increase of readily fermentable carbohydrates, such as starch, which can lead to high production of volatile fatty acids. This could consequently lead to reducing the rumen pH, as well as increasing the amount of starch reaching the large intestine. A greater amount of starch in the large intestine possibly enhances local fermentation and lipopolysaccharide (LPS) concentration. Lipopolysaccharide has shown the potential to impact gastrointestinal epithelial permeability that leads to an inflammatory response, especially when the pH is low. The current study showed that LPS and acidic pH in large intestinal cells (simulating the large intestine of dairy calves) tended to show increased mRNA abundance of inflammatory markers such as interleukin-8 (IL-8), and cause a less efficient regulatory process of cells, respectively. However, acidic pH with no LPS or addition of 10 ng/mL of LPS reduced the mRNA abundance of NFκ-B1.
A Case Report on Myotendinous Junction

Myotendinous junction is the transition zone between the muscle and its tendon. Hence, it is subject to immense stress within the muscle. In this study, it is found that muscles having a greater tensile have a more arranged myotendinous junction compared to muscles with lesser tensile strength. Cadaveric specimens - plantaris, gastrocnemius, and soleus have been histologically studied to study the same.
Use of a semi-automated object based analysis to map benthic composition, Heron Reef, Southern Great Barrier Reef

ABSTRACT Coral reef scientists and managers require detailed information of reef environments to develop, implement and evaluate management strategies. Maps showing the distribution of corals, seagrass, algae, sand, rubble and rock are an essential component of this information. Using a semi-automated, object-based image analysis (OBIA) approach this study created a benthic community map for Heron Reef (area: approximately 27 km2), Southern Great Barrier Reef, Australia. Benthic cover information was acquired for calibration and validation via georeferenced photograph transects, which coincided with high spatial resolution Quickbird-2 satellite image capture in 2007. Through combination of these data sets and modification of a semi-automated OBIA classification scheme previously developed for seagrass environments to account for the heterogeneous nature of reef benthic communities, a benthic community map was created for Heron Reef with an overall accuracy of 61.6%. The robustness and repeatability of our method provide future opportunity to apply the semi-automated approach to a time series of field and high spatial resolution image data sets to create a time series of benthic community maps for Heron Reef. The results presented in this study therefore open up the opportunity to assess and understand the spatial and temporal dynamics of the reef environment.
EFFECT OF CHELATING AGENTS, SINTERED TEMPERATURE AND HEAT TREATMENT DURATION ON THE STRUCTURAL AND ELECTRICAL PROPERTIES OF BiFeO 3

: A multiferroics BiFeO 3 (BFO) samples are prepared by co-precipitation and sol-gel methods. Various combinations of chelating agent, sintering temperature and heat treatment durations tried to prepare single phase BiFeO 3 samples. Sol-gel method is found more suitable to synthesize phase pure BiFeO 3 samples. The samples were characterized by XRD, SEM, EDX, Electrical resistivity and optical reflectivity measurements. The distorted rhombohedral perovskite structure R3c has been confirmed. The grain size and lattice constant of the samples are also calculated using XRD patterns. The resistivity of the samples is measured at room temperature. The resistivity is found to increase on changing the chelating agent from Tartaric acid to Tartaric acid plus Ethylene glycol. The resistivity reveals the semi conductivity behavior of the BFO samples. The measurement of infrared reflectivity of BFO samples at room temperature reveals optical phonons. The resonant frequency of the phonon modes is determined and reported.
Convergence Analysis of Inverse Iterative Neural Networks with L2 Penalty

Abstract The iterative inversion of neural networks has been used in solving problems of adaptive control due to its good performance of information processing. In this paper an iterative inversion neural network with L2 penalty term has been presented trained by using the classical gradient descent method. We mainly focus on the theoretical analysis of this proposed algorithm such as monotonicity of error function, boundedness of input sequences and weak (strong) convergence behavior. For bounded property of inputs, we rigorously proved that the feasible solutions of input are restricted in a measurable field. The weak convergence means that the gradient of error function with respect to input tends to zero as the iterations go to infinity while the strong convergence stands for the iterative sequence of input vectors convergence to a fixed optimal point.
Supplementary Materials of Learning Neural Proto-face Field for Disentangled 3D Face Modeling In the Wild

Here we provide more details of the implementation. For the EG3D model, we use the one pretrained on FFHQ [3] dataset with the volume-rendering size of 128 × 128. For the deformation network Φj∆ on j-th stage, we use a 3-layer MLP to extend the representation of expression coefficient βi from 64 to 256, then concatenate it with h̄ . The concatenated representation is then fed into another 3-layer MLP to generate the deformation code ∆sji ∈ R. To evaluate the point-to-plane distance between the predicted geometry and ground truth, we first manually select 7 different facial key point on both meshes, and perform rigid align using ICP method. Then the metric can be calculated.
Potential susceptibility genes in patients with stage III and IV periodontitis: A whole-exome sequencing pilot study

The aim of this study was to screen potential susceptibility genes using whole-exome sequencing (WES) in 15 Han Chinese patients with stage III or IV periodontitis and to evaluate the quantity and quality of genomic DNA extracted from saliva. DNA was extracted from saliva epithelial cells, quality-tested, and then subjected to WES and bioinformatics analyses. All variation loci were analyzed and interpreted following the American College of Medical Genetics and Genomics (ACMG) criteria. Candidate pathogenic variation loci were identified and verified using Sanger sequencing. Correlation and functional analyses of the candidate genes were used to identify potential susceptibility genes in patients with severe periodontitis. LFNG, LENG8, NPHS1, HFE, ILDR1, and DMXL2 genes were identified in over two cases each with shared mutations. Following these analyses, the DMXL2 gene was identified as being associated with stage III and IV periodontitis. These results suggest a potential pathophysiological risk mechanism for periodontitis, but need to be verified through larger clinical studies and mechanistic experiments to determine the pathogenicity of these gene mutations and their generalizability to a wider population of periodontitis patients. By screening candidate pathogenic variation loci using WES in 15 Han Chinese patients with stage III or IV periodontitis, our study could provide a pipeline and feasibility support for the identification of susceptibility genes in patients with stage III and IV periodontitis.
Dissecting Vertebral Aneurysms Coil Embolization for the Treatment of Ruptured

BACKGROUND AND PURPOSE: Proximal occlusion of the parent artery has been widely used for treatment of vertebral dissecting ruptured aneurysms, but this does not always completely prevent rerupture. We retrospectively studied 24 consecutive patients for clinical characteristics and/or for efﬁcacy of occlusion with detachable coils at the site of dissection. METHODS: During a 45-month period, 24 of 242 patients with aneurysms associated with subarachnoid hemorrhage had dissecting vertebral aneurysms identiﬁed at angiography. Eighteen of the 24 patients were treated with platinum coil occlusion at the affected site as early as possible after diagnosis, two patients were treated conservatively, and four others were not eligible for treatment owing to intractable elevation of intracerebral pressure and severe brain stem dysfunction. RESULTS: The rate of aneurysmal rupture in the posterior fossa was high, at 56 (23%) of the 242 aneurysms, including 24 (10%) vertebral dissecting aneurysms. Subsequent rupture occurred in 14 (58%) of the patients, all within 24 hours after the ﬁrst attack and three during transportation to the hospital. In all 18 patients, coil embolization at the affected site was successful, with no complications. Radiologic ﬁndings showed complete occlusion of the dissection site and patency of the unaffected artery (mean follow-up, 9 months). Among the six patients who did not undergo embolization, only one survived with a good outcome, the others died of repeat hemorrhage. CONCLUSION: A high rate of vertebral artery dissecting aneurysms may be expected in patients with subarachnoid hemorrhage, especially in those with early repeat hemorrhage
Optimizing the Beneﬁts of Mental Practice on Motor Acquisition and Consolidation with Moderate-Intensity Exercise

The optimization of mental practice (MP) protocols matters for sport and motor rehabilitation. In this study, we were interested in the beneﬁts of moderate-intensity exercise in MP, given its positive eﬀects on the acquisition and consolidation of motor skills induced by physical practice (PP). Four experimental groups were tested: i) physical practice without exercise (PP-Rest), ii) mental practice without exercise (MP-Rest), iii) mental practice preceded by Exercise (Exe-MP)
Effective and Efficient Route Planning Using Historical Trajectories on Road Networks

We study route planning that utilizes historical trajectories to predict a realistic route from a source to a destination on a road network at given departure time. Route planning is a fundamental task in many location-based services. It is challenging to capture latent patterns implied by complex trajectory data for accurate route planning. Recent studies mainly resort to deep learning techniques that incur immense computational costs, especially on massive data, while their effectiveness are complicated to interpret. This paper proposes DRPK, an effective and efficient route planning method that achieves state-of-the-art performance via a series of novel algorithmic designs. In brief, observing that a route planning query (RPQ) with closer source and destination is easier to be accurately predicted, we fulfill a promising idea in DRPK to first detect the key segment of an RPQ by a classification model KSD, in order to split the RPQ into shorter RPQs, and then handle the shorter RPQs by a destination-driven route planning procedure DRP. Both KSD and DRP modules rely on a directed association (DA) indicator, which captures the dependencies between road segments from historical trajectories in a surprisingly intuitive but effective way. Leveraging the DA indicator, we develop a set of well-thought-out key segment concepts that holistically consider historical trajectories and RPQs. KSD is powered by effective encoders to detect high-quality key segments, without inspecting all segments in a road network for efficiency. We conduct extensive experiments on 5 large-scale datasets. DRPK consistently achieves the highest effectiveness, often with a significant margin over existing methods, while being much faster to train. Moreover, DRPK is efficient to handle thousands of online RPQs in a second, e.g. , 2768 RPQs per second on a PT dataset, i.e. , 0.36 milliseconds per RPQ.