Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal filter design for volume reconstruction and visualization

Digital filtering is a crucial operation in volume reconstruction and visualization. Lowpass filters are needed for subsampling and minification. Interpolation filters are needed for registration and magnification, and to compensate for geometric distortions introduced by scanners. Interpolation filters are also needed in volume rendering for ray-casting and slicing. In this paper, we describe a method for digital filter design of interpolation filters based on weighted Chebyshev minimization. The accuracy of the resulting filters are compared with some commonly used filters defined by piecewise cubic polynomials. A significant finding of this paper is that although piecewise cubic interpolation has some computational advantages and may yield visually satisfactory results for some data, other data result in artifacts such as blurring. Furthermore, piecewise cubic filters are inferior for operations such as registration. Better results are obtained by the filters derived in this papers at only small increases in computation. <<ETX>>
Learning to Order Facts for Discourse Planning in Natural Language Generation

This paper presents a machine learning approach to discourse planning in natural language generation. More specifically, we address the problem of learning the most natural ordering of facts in discourse plans for a specific domain. We discuss our methodology and how it was instantiated using two different machine learning algorithms. A quantitative evaluation performed in the domain of museum exhibit descriptions indicates that our approach performs significantly better than manually constructed ordering rules. Being retrainable, the resulting planners can be ported easily to other similar domains, without requiring language technology expertise.
Deep hierarchical bottleneck MRASTA features for LVCSR

Hierarchical Multi Layer Perceptron (MLP) based long-term feature extraction is optimized for TANDEM connectionist large vocabulary continuous speech recognition (LVCSR) system within the QUAERO project. Training the bottleneck MLP on multi-resolutional RASTA filtered critical band energies, more than 20% relative word error rate (WER) reduction over standard MFCC system is observed after optimizing the number of target labels. Furthermore, introducing a deeper structure in the hierarchical bottleneck processing the relative gain increases to 25%. The final system based on deep bottleneck TANDEM features clearly outperforms the hybrid approach, even if the long-term features are also presented to the deep MLP acoustic model. The results are also verified on evaluation data of the year 2012, and about 20% relative WER improvement over classical cepstral system is measured even after speaker adaptive training.
Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations

Machine learning paradigms based on child vocalisations show great promise as an objective marker of developmental disorders such as Autism. In conventional detection systems, hand-crafted acoustic features are usually fed into a discriminative classifier (e.g, Support Vector Machines); however it is well known that the accuracy and robustness of such a system is limited by the size of the associated training data. This paper explores, for the first time, the use of feature representations learnt using a deep Generative Adversarial Network (GAN) for classifying children's speech affected by developmental disorders. A comparative evaluation of our proposed system with different acoustic feature sets is performed on the Child Pathological and Emotional Speech database. Key experimental results presented demonstrate that GAN based methods exhibit competitive performance with the conventional paradigms in terms of the unweighted average recall metric.
Development of anthocyanin-rich jelly by Thai mulberry (Morus alba) fruit powder

Mulberry fruit is well known as a good source of anthocyanins with many biological activities. This study was investigated the physico-chemical properties of Thai mulberry ( Morus alba ) fruits powder (MFP) and use as an ingredient to developing an anthocyanin-rich jelly. The physical and chemical properties and sensory evaluation of anthocyanin-rich jelly by varying four levels of MFP at 0, 13, 20 and 26% (w/w) were determined. The results showed that MFP contains carbohydrate (73.46%), protein (10.24%), fat (1.74%), and dietary fiber (11.29%). The acidity, total soluble solid and pH were 6.43%, 13.72% and 4.28, respectively. MPF exhibited the antioxidant activities by 1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging, ferric reducing antioxidant power (FRAP) and oxygen radical absorbance capacity (ORAC) assay of 1.20 µmol trolox equivalent (TE)/100g dry weight (DW), 166.16 µmol TE/g DW and 595.11 µmol TE/g DW, respectively. The result of total phenolic contents (TPCs) using Folin-Ciocalteu method was 26.88 mg GAE/g DW and total anthocyanin was 6.13 mg cyanidin-3-glucoside equivalents/g DW. As the results of anthocyanin-rich jelly, the increase of MFP resulted in the increasing of total soluble solid, acidity and hardness. For color measurement, lightness (L*) was decreased but redness (a*) and yellowness (b*) were increased. The sensory results showed anthocyanin-rich jelly from 13% MFP obtained the highest overall liking score of 7.5 (like moderately to like very much). The antioxidant activities, TPCs and total anthocyanin content of the developed jelly with MFP were significantly higher (p<0.05) than the jelly without MFP. Therefore, anthocyanin-rich jelly could be developed as functional food with consumer acceptability.
Epidermal growth factor receptor-regulated miR-125a-5p – a metastatic inhibitor of lung cancer

Both the epidermal growth factor receptor signaling pathway and microRNA (miRNA) play an important role in lung cancer development and progression. To address the potential role of miRNA in epidermal growth factor receptor signaling, we identified miR‐125a‐5p as a downstream target, using an miRNA array. We further demonstrated that miR‐125a‐5p inhibited migration and invasion of lung cancer cells. Moreover, miR‐125a‐5p regulated the expression of several downstream genes of epidermal growth factor receptor signaling. Importantly, examination of lung cancer samples revealed a significant correlation of miR‐125a‐5p repression with lung carcinogenesis. Taken together, our results provide compelling evidence that miR‐125a‐5p, an epidermal growth factor‐signaling‐regulated miRNA, may function as a metastatic suppressor.
A Chaotic Theory Based on Customized Inertia Particle Swarm Optimization and Applications to PID Coefficient Design for the Automatic Voltage Regulator

In this paper, we present a new particle swarm optimization. When we consider the convergence region for the original PSO during some iterations, the poles of the difference equation of the PSO system are located outside the convergence region. A proposed method has a strict condition that the poles of system always does not lie outside the convergence region. To satisfy the condition, the inertia is a function of the cognitive and social coefficients. With the proposed PSO algorithm we design PID coefficients for the automatic voltage regulators. We show that the proposed algorithm has a better performance than the original PSO for the PID design of automatic voltage regulators.
Low Complexity Semi-Blind Bayesian Iterative Receiver for MIMO-OFDM Systems

Based on the Variational Bayes expectation-maximization (VBEM) algorithm, a low complexity semi-blind Bayesian iterative receiver with joint signal detection and channel tracking is proposed in this paper for MIMO-OFDM systems over time-varying multi-path channels. Since the VBEM algorithm provides distribution estimation of all parameters, the detection performance can be improved by taking the channel estimation error into account. In addition, with the aid of the soft information provided by the signal detector, the recursive VBEM (RVBEM) algorithm is introduced to track the time-varying channels. Due to the high complexity of the RVBEM algorithm, a novel time-frequency domain recursive VBEM (TF-LCRVBEM) algorithm with low complexity is further proposed. The TFLCRVBEM algorithm simply predicts the channel impulse responses (CIRs) on time domain and recursively refines them on all subcarriers. The complexity analysis results demonstrate that the TF-LCRVBEM algorithm totally avoids computation of matrix inversion and obtains linear complexity. Moreover, the simulation results show that the proposed receiver not only dramatically outperforms the conventional receiver, but also provides performance close to the optimal receiver with perfect channel state information (PCSI).
Mycotoxins and Human Disease: a Largely Ignored Global Health Issue

Aflatoxins and fumonisins (FB) are mycotoxins contaminating a large fraction of the world's food, including maize, cereals, groundnuts and tree nuts. The toxins frequently co-occur in maize. Where these commodities are dietary staples, for example, in parts of Africa, Asia and Latin America, the contamination translates to high-level chronic exposure. This is particularly true in subsistence farming communities where regulations to control exposure are either non-existent or practically unenforceable. Aflatoxins are hepatocarcinogenic in humans, particularly in conjunction with chronic hepatitis B virus infection, and cause afla-toxicosis in episodic poisoning outbreaks. In animals, these toxins also impair growth and are immunosuppressive; the latter effects are of increasing interest in human populations. FB have been reported to induce liver and kidney tumours in rodents and are classified as Group 2B 'possibly carcinogenic to humans', with ecological studies implying a possible link to increased oesopha-geal cancer. Recent studies also suggest that the FB may cause neural tube defects in some maize-consuming populations. There is a plausible mechanism for this effect via a disruption of ceram-ide synthase and sphingolipid biosynthesis. Notwithstanding the need for a better evidence-base on mycotoxins and human health, supported by better biomarkers of exposure and effect in epidemiological studies, the existing data are sufficient to prioritize exposure reduction in vulnerable populations. For both toxins, there are a number of practical primary and secondary prevention strategies which could be beneficial if the political will and financial investment can be applied to what remains a largely and rather shamefully ignored global health issue.
An adaptive prediction method for signal fusion

Many biomedical signal processing applications include the significant challenge of sensor data fusion. In this work, an adaptive prediction method fuses a relatively higher bandwidth, lower absolute accuracy (fast) signal with a relatively lower bandwidth, higher absolute accuracy (accurate) signal of the same quantity into a combined signal that is both fast and accurate. Iterative estimates of model parameters minimize a regularized mean square prediction error that arises from using the fast signal to predict the accurate signal. We illustrate the method by fusing a lower bandwidth porcine thermal dilution cardiac output signal with a relatively higher bandwidth, less accurate peripheral arterial pressure pulse contour cardiac output signal. The combined cardiac output signal has both thermal dilution accuracy and pulse contour bandwidth.
Control of chaos in a PWM current-mode H-bridge inverter using time-delayed feedback

Time-delayed feedback can be used to stabilize unstable periodic orbits (UPOs) in dynamical systems. The technique involves feedback of signals delayed by the orbit's period so that the feedback signals vanish on the target orbit and hence the UPO becomes a solution of the original system. An obvious advantage of this method is that it requires only the knowledge of the period of the target UPO. In this brief, a pulsewidth-modulated current-mode H-bridge inverter serves as a subject of investigation. Under certain parameter ranges, it exhibits higher periodic solutions and chaos. A simple time-delay feedback control method is applied to stabilize the UPOs. By using the time-delayed feedback control method, the stability limit and gain range of the system are increased.
Sealife: A Semantic Grid Browser for the Life Sciences Applied to the Study of Infectious Diseases

The objective of Sealife is the conception and realisation of a semantic Grid browser for the life sciences, which will link the existing Web to the currently emerging eScience infrastructure. The SeaLife Browser will allow users to automatically link a host of Web servers and Web/Grid services to the Web content he/she is visiting. This will be accomplished using eScience's growing number of Web/Grid Services and its XML-based standards and ontologies. The browser will identify terms in the pages being browsed through the background knowledge held in ontologies. Through the use of Semantic Hyperlinks, which link identified ontology terms to servers and services, the SeaLife Browser will offer a new dimension of context-based information integration. In this paper, we give an overview over the different components of the browser and their interplay. This SeaLife Browser will be demonstrated within three application scenarios in evidence-based medicine, literature & patent mining, and molecular biology, all relating to the study of infectious diseases. The three applications vertically integrate the molecule/cell, the tissue/organ and the patient/population level by covering the analysis of high-throughput screening data for endocytosis (the molecular entry pathway into the cell), the expression of proteins in the spatial context of tissue and organs, and a high-level library on infectious diseases designed for clinicians and their patients. For more information see http://www.biote. ctu-dresden.de/sealife.
Recovery of people with psychiatric disabilities living in the community and associated factors.

OBJECTIVE Consumer-oriented recovery has been discussed for more than two decades in the mental health field. Although there some qualitative recovery studies have shown important findings, few quantitative studies of this concept currently exist. This study examined the relationship between recovery and associated social-environmental and individual factors. METHOD A total of 159 people with psychiatric disabilities receiving services from a large community mental health agency participated in the study. Participants completed a self-report survey that assessed individual recovery status, social support, perceived recovery-oriented service quality, psychiatric symptoms, and demographics. One hundred twenty-four surveys were analyzed. Hierarchical multiple regression analysis was conducted to examine the relationship between recovery and associated factors. RESULTS Social support and perceived recovery-oriented service quality had significant positive relationships with recovery; psychiatric symptoms had a significant negative relationship with recovery. The final regression model accounted for 58% of the variance in recovery, F(9, 114) = 17.72, p < . 001. CONCLUSION AND IMPLICATIONS FOR PRACTICE Social-environmental factors play an important role in people's recovery, even after taking into account psychiatric symptoms. Namely, people with psychiatric disabilities can pursue recovery with symptoms as long as they receive appropriate support and services. Mental health professionals should provide services adhering to recovery principles in order to help their clients achieve personal recovery.
Document Detection Data Preparation

Critical to the success of TIPSTER was the creation of the test collection. Like most traditional retrieval collections, there are three distinct parts to this collection--the documents, the queries or topics, and the relevance judgments or "right answers". It was important to match all three parts of the collection to the TIPSTER application.
Ill posedness in modelling two-dimensional morphodynamic problems: effects of bed slope and secondary flow

A two-dimensional model describing river morphodynamic processes under mixed-size sediment conditions is analysed with respect to its well posedness. Well posedness guarantees the existence of a unique solution continuously depending on the problem data. When a model becomes ill posed, infinitesimal perturbations to a solution grow infinitely fast. Apart from the fact that this behaviour cannot represent a physical process, numerical simulations of an ill-posed model continue to change as the grid is refined. For this reason, ill-posed models cannot be used as predictive tools. One source of ill posedness is due to the simplified description of the processes related to vertical mixing of sediment. The current analysis reveals the existence of two additional mechanisms that lead to model ill posedness: secondary flow due to the flow curvature and the effect of gravity on the sediment transport direction. When parametrising secondary flow, accounting for diffusion in the transport of secondary flow intensity is a requirement for obtaining a well-posed model. When considering the theoretical amount of diffusion, the model predicts instability of perturbations that are incompatible with the shallow water assumption. The effect of gravity on the sediment transport direction is a necessary mechanism to yield a well-posed model, but not all closure relations to account for this mechanism are valid under mixed-size sediment conditions. Numerical simulations of idealised situations confirm the results of the stability analysis and highlight the consequences of ill posedness.
Investigating the Long-term Evolution of Galaxies: Noise, Cuspy Halos and Bars

I review the arguments for the importance of halo structure in driving galaxy evolution and coupling a galaxy to its environment. We begin with a general discussion of the key dynamics and examples of structure dominated by modes. We find that simulations with large numbers of particles (N ∼> 10 ) are required to resolve the dynamics. Finally, I will describe some new results which demonstrates that a disk bar can produce cores in a cuspy CDM dark-matter profile within a gigayear. An inner Lindblad-like resonance couples the rotating bar to halo orbits at all radii through the cusp, rapidly flattening it. This resonance disappears for profiles with cores and is responsible for a qualitative difference in bar-driven halo evolution with and without a cusp. Although the bar gives up the angular momentum in its pattern to make the core, the formation epoch is rich in accretion events to recreate or trigger a classic stellar bar. The evolution of the cuspy inner halo by the first-generation bar paves the way for a long-lived subsequent bar with low torque and a stable pattern speed.
Optimum dose of neostigmine to reverse shallow neuromuscular blockade with rocuronium and cisatracurium

We examined the use of neostigmine for reversing shallow (defined as train‐of‐four ratio of 0.5), cisatracurium‐ and rocuronium‐induced neuromuscular block in 112 patients, by use of 0 μg. kg−1, 10 μg. kg−1, 20 μg. kg−1 or 40 μg. kg−1 dose of neostigmine for reversal. The times from neostigmine administration to train‐of‐four ratios of 0.7, 0.9 and 1.0 were evaluated. Analysis of variance showed that the duration of action was significantly longer after cisatracurium compared with rocuronium. The time to reach a train‐of‐four ratio of 1.0 was significantly shorter with neostigmine 40 μg. kg−1 compared with lower neostigmine doses, and at this dose the time did not differ between cisatracurium and rocuronium. The recovery time from a train‐of‐four ratio of 0.5–1.0 did not differ between cisatracurium and rocuronium, and was significantly shortened by the administration of neostigmine. We conclude that a neostigmine dose of 40 μg. kg−1 was the most effective at reducing recovery time after neuromuscular blockade.
A Fixed Size Storage O(n3) Time Complexity Learning Algorithm for Fully Recurrent Continually Running Networks

The real-time recurrent learning (RTRL) algorithm (Robinson and Fallside 1987; Williams and Zipser 1989) requires O(n4) computations per time step, where n is the number of noninput units. I describe a method suited for on-line learning that computes exactly the same gradient and requires fixed-size storage of the same order but has an average time complexity per time step of O(n3).
Direction finding using noise covariance modeling

We consider the problem of direction finding in the presence of colored noise whose covariance matrix is unknown. We show that the ambient noise covariance matrix can be modeled by a sum of Hermitian matrices known up to a multiplicative scalar. Using this model, we estimate jointly the directions of arrival of the signals and the noise model parameters. We show that under certain conditions, it is possible to obtain unbiased and efficient estimates of the signal direction. The Cramer-Rao bound is used as the principal analysis tool. Computer simulations using the maximum likelihood estimator provide a validation of the analytical results. >
THE MODULATORY EFFECT OF DIETARY BETAINE ON INTESTINAL ABSORPTIVE CAPACITY, LIPOGENESIS AND EXPRESSION OF LIPID METABOLISM- AND GROWTH-RELATED GENES IN NILE TILAPIA FED ON SOYBEAN MEAL-BASED DIET

The current experiment was randomly designed in a 2×2 factorial design. Two dietary protein sources were utilized; fish meal and soybean meal; with betaine incorporation to both of them. This study aimed to determine the impact of incorporation of betaine into soybean meal-based (SBM) diets through its effects on growth performance, intestinal healthiness and expression of some lipid metabolism- and growth-related genes. Fish (19.84±0.20 g) were stocked in 12 aquaria and allotted into triplicate four groups (10 fish per aquarium). Four test diets were formulated to contain fish meal (FM) as a positive control, FM with betaine (FM + Betaine), SBM diet and SBM with betaine (SBM + Betaine), respectively. After 60 days, dietary betaine improved the growth performance of fish fed FM or SBM as revealed by higher final body weight, body weight gain and average daily gain and lower feed conversion ratio. Monitoring the whole-body composition revealed that addition of betaine to diet relatively augmented flesh protein content and reduced its fat content. In addition, betaine incorporation in diets significantly ( P <0.05) increased the intestinal villi length especially in the jujenal portion as well as the numbers goblet cells. Furthermore, betaine had a downregulating effect on expression of lipid metabolism-related genes, fatty acid synthetase ( Fas ) and lipoprotein lipase ( Lpl ) and upregulating effect on insulin growth like factor-1 ( Igf-1 ) gene in liver. It could be concluded that dietary supplementation of betaine incorporation to soybean-based diets enable nutritionists to substitute FM in fish diet. Also, betaine could improve growth performance, carcass quality (through increasing protein and decreasing lipid in fish) and enhance intestinal functions capability. Key words : Betaine; growth performance; insulin like growth hormone factor; lipid metabolism related genes; Nile tilapia; soybean meal