Miracle-dz/UniFAR-FTUs huggingface dataset:
Weakly supervised spoken term discovery using cross-lingual side information

Recent work on unsupervised term discovery (UTD) aims to identify and cluster repeated word-like units from audio alone. These systems are promising for some very low-resource languages where transcribed audio is unavailable, or where no written form of the language exists. However, in some cases it may still be feasible (e.g., through crowdsourcing) to obtain (possibly noisy) text translations of the audio. If so, this information could be used as a source of side information to improve UTD. Here, we present a simple method for rescoring the output of a UTD system using text translations, and test it on a corpus of Spanish audio with English translations. We show that it greatly improves the average precision of the results over a wide range of system configurations and data preprocessing methods.
The optimization of constellation rotation on the multi-user superposition modulation system

In the modulation process of non-orthogonal multiple access system, the modulation structure can be depicted as a factor graph constituted by user nodes, channel nodes and connections between these two kinds of nodes. For a given factor graph with arbitrary number of user nodes, the constellation angles of the user nodes can be optimized to improve the mutual information, or sum capacity of the system. However, the multiplicity of integral on computing mutual information would rise in proportion to the number of channel nodes and make it unsolvable. In this paper, first, we provide a generalized optimization formula based on mutual information without multiple integral. Second, we proposed a low-complexity searching algorithm to search for the optimal angle set of the user nodes. The simulation results show the optimal angle set can improve the performance of multi-user superposition system.
Environment mapping with stereo vision and Belief Propagation algorithm

Creating a top view map of an environment has been one of the most important issues that navigation systems are dealing with. In this paper we discuss this subject and detecting the scene's most important obstacles. We obtain information from the scene by moving the stereo camera and photographing from different views and by this work we create a stereo dataset from our environment. We choose an appropriate matching algorithm and by that, we extract the dense disparity map for each frame of images. Having the disparity map and depth map allows creating a field of coordination that consists of obstacles placement and they are attained by applying triangulation calculations on the depth map. So the local map of the environment will be created based on this coordination. By photographing the scene several times and incorporating the outputs by the help of Bayes Theorem we try to decrease the destructive effects caused by the environment's dynamism. At the end, combining these local maps and applying our optimization algorithm on them which is Belief Propagation algorithm leads to a global map with reduced amount of errors. BP is one of the algorithms used in optimizing marginal probabilities and acts very well on graphical models like MRF, therefore we chose it for our optimization problem since it fits very well in our matter.
Search of Mechanical Stressed Sections in Fiber Optical Communication Lines Based on Brillouin Backscattering Spectrum Analysis

The actual problem of duly revealing of mechanical stressed sections of fiber optical communication lines, in particular, optical fibers which are under influence of the raised mechanical pressure (strain) in optical cables is considered in this paper. Results of modeling of Brillouin backscattering spectrum changes depending on change of optical fiber strain are presented. Results of experimental examinations of strain characteristics of various types optical fibers, which are under longitudinal and transverse mechanical influences, based on Brillouin backscattering spectrum analysis are given in this paper. Also are discussed temperature dependences of Brillouin backscattering spectrum changes of the optical fibers. The received results confirmed a possibility to detect problem (mechanical stressed) sections and estimations of the optical fiber strain degree on basis of Brillouin reflectometry method at different mechanical influences.
Enteric Virome Sensing—Its Role in Intestinal Homeostasis and Immunity

Pattern recognition receptors (PRRs) sensing commensal microorganisms in the intestine induce tightly controlled tonic signaling in the intestinal mucosa, which is required to maintain intestinal barrier integrity and immune homeostasis. At the same time, PRR signaling pathways rapidly trigger the innate immune defense against invasive pathogens in the intestine. Intestinal epithelial cells and mononuclear phagocytes in the intestine and the gut-associated lymphoid tissues are critically involved in sensing components of the microbiome and regulating immune responses in the intestine to sustain immune tolerance against harmless antigens and to prevent inflammation. These processes have been mostly investigated in the context of the bacterial components of the microbiome so far. The impact of viruses residing in the intestine and the virus sensors, which are activated by these enteric viruses, on intestinal homeostasis and inflammation is just beginning to be unraveled. In this review, we will summarize recent findings indicating an important role of the enteric virome for intestinal homeostasis as well as pathology when the immune system fails to control the enteric virome. We will provide an overview of the virus sensors and signaling pathways, operative in the intestine and the mononuclear phagocyte subsets, which can sense viruses and shape the intestinal immune response. We will discuss how these might interact with resident enteric viruses directly or in context with the bacterial microbiome to affect intestinal homeostasis.
Complete Genome Sequence of a Novel Human Gammapapillomavirus Isolated from a Cervical Swab in Luxembourg

ABSTRACT A novel human papillomavirus genotype was detected in a cervical swab specimen by next-generation sequencing after rolling circular amplification. It was fully cloned and characterized. The L1 open reading frame showed 77% nucleotide similarity with the closest genotype, HPV101, belonging to the gamma-6 species.
Design and characterization of a novel fabric-based robotic arm for future wearable robot application

Wearable robots are playing a more and more important role in our daily lives with their direct physical support to human body. However, there are limitation and risks of using conventional robotic technology in wearable robot. Alternatively, soft robot technology has been applied to make wearable devices for various purposes. In this paper, we propose a novel soft inflatable robotic arm made entirely from TPU-coated fabric. A new bending mechanism, arm design and fabrication method are elaborated in detail. The preliminary characterization experiments were implemented and the results show that the arm can achieve 150° bidirectional bending, and the gripper can lift object as heavy as 1.6kg. The current prototype with its decent motion performance, force output, and remarkable portability can be integrated into wearable robotics in the future to provide supports to human in many tasks.
LncRNA UCA 1 promotes the invasion and EMT of bladder cancer cells by regulating the miR ‐ 143 / HMGB 1 pathway

The long non-coding RNA (lncRNA) urothelial carcinoma associated 1 (UCA1) is an oncogenic lncRNA in bladder cancer, and its upregulation is associated with enhanced cell invasion. However, the underlying mechanism remains to be elucidated. The present study demonstrated that UCA1 was positively associated with cell invasion ability and promoted epithelial-mesenchymal transition (EMT) of bladder cancer cells by inducing high mobility group box 1 (HMGB1). Furthermore, bioinformatics and luciferase reporter assays demonstrated binding sites of the tumor suppressive miR-143 within UCA1 and the 3'untranslated region of HMGB1. UCA1 negatively regulated miR-143 expression in a dose-dependent manner in bladder cancer cells. In addition, UCA1 and HMGB1 were upregulated and miR-143 was downregulated in bladder cancer specimens. Overall, the data suggested that UCA1 may promote the invasion and EMT of bladder cancer cells by regulating the miR-143/HMGB1 pathway, which exhibits an important regulatory role in the pathology of bladder cancer.
Relationship of premenstrual and menstrual symptoms to alexithymia among nursing students

PURPOSE The aim of this study is to determine the relationship of premenstrual and menstrual symptoms to alexithymia among nursing students. DESIGN AND METHODS This descriptive study was conducted with 284 undergraduate nursing students. Data were collected using Premenstrual Syndrome Scale (PMSS), Menstrual Symptom Scale (MSQ), and Toronto Alexithymia Scale-20 (TAS-20). FINDINGS The PMSS, MSQ, and TAS-20 mean scores were 103.56 ± 35.08, 2.92 ± 0.8, and 45.22 ± 9.17, respectively. There was statistically significant positive correlation between TAS-20 and PMSS and MSQ mean scores (p < .05). PRACTICAL IMPLICATIONS Women should be evaluated for alexithymia to prevent the adverse effects of premenstrual and menstrual symptoms.
Nutritional management of hyperapoB

Abstract Plasma apoB is a more accurate marker of the risk of CVD and type 2 diabetes (T2D) than LDL-cholesterol; however, nutritional reviews targeting apoB are scarce. Here we reviewed eighty-seven nutritional studies and present conclusions in order of strength of evidence. Plasma apoB was reduced in all studies that induced weight loss of 6–12 % using hypoenergetic diets (seven studies; 5440–7110 kJ/d; 1300–1700 kcal/d; 34–50 % carbohydrates; 27–39 % fat; 18–24 % protein). When macronutrients were compared in isoenergetic diets (eleven studies including eight randomised controlled trials (RCT); n 1189), the diets that reduced plasma apoB were composed of 26–51 % carbohydrates, 26–46 % fat, 11–32 % protein, 10–27 % MUFA, 5–14 % PUFA and 7–13 % SFA. Replacement of carbohydrate by MUFA, not SFA, decreased plasma apoB. Moreover, dietary enriching with n-3 fatty acids (FA) (from fish: 1·1–1·7 g/d or supplementation: 3·2–3·4 g/d EPA/DHA or 4 g/d EPA), psyllium (about 8–20 g/d), phytosterols (about 2–4 g/d) or nuts (30–75 g/d) also decreased plasma apoB, mostly in hyperlipidaemic subjects. While high intake of trans-FA (4·3–9·1 %) increased plasma apoB, it is unlikely that these amounts represent usual consumption. Inconsistent data existed on the effect of soya proteins (25–30 g/d), while the positive association of alcohol consumption with low plasma apoB was reported in cross-sectional studies only. Five isoenergetic studies using Mediterranean diets (including two RCT; 823 subjects) reported a decrease of plasma apoB, while weaker evidence existed for Dietary Approaches to Stop Hypertension (DASH), vegetarian, Nordic and Palaeolithic diets. We recommend using a Mediterranean dietary pattern, which also encompasses the dietary components reported to reduce plasma apoB, to target hyperapoB and reduce the risks of CVD and T2D.
Application and comparative performance of network modularity algorithms to ecological communities classification

Network modularity is a well-studied large-scale connectivity pattern in networks. The detection of modules in real networks constitutes a crucial step towards a description of the network building blocks and their evolutionary dynamics. The performance of modularity detection algorithms is commonly quantified using simulated networks data. However, a comparison of the modularity algorithms utility for real biological data is scarce. Here we investigate the utility of network modularity algorithms for the classification of ecological plant communities. Plant community classification by the traditional approaches requires prior knowledge about the characteristic and differential species, which are derived from a manual inspection of vegetation tables. Using the raw species abundance data we constructed six different networks that vary in their edge definitions. Four network modularity algorithms were examined for their ability to detect the traditionally recognized plant communities. The use of more restrictive edge definitions significantly increased the accuracy of community detection, that is, the correspondence between network-based and traditional community classification. Random-walk based modularity methods yielded slightly better results than approaches based on the modularity function. For the whole network, the average agreement between the manual classification and the network-based modules is 76% with varying congruence levels for different communities ranging between 11% and 100%. The network-based approach recovered the known ecological gradient from riverside - sand and gravel bank vegetation - to dryer habitats like semidry grassland on dykes. Our results show that networks modularity algorithms offer new avenues of pursuit for the computational analysis of species communities.
On non-iterative training of a neural classifier part-II: Clustering of points and their classification using an NN architecture

As described in Part I of this two paper series, an algorithm was recently discovered, which separates points in n-dimension by planes in such a manner that no two points are left un-separated by at least one plane. By using this new algorithm it can be shown that there are two ways of classification by a neural network, for a large dimension feature space, both of which are non-iterative and deterministic and one could apply both these methods to a classical pattern recognition problem and present the results. It is expected these methods will now be widely used for the training of neural networks for Deep Learning not only because of their non-iterative and deterministic nature but also because of their efficiency and speed and that they may supersede other classification methods which are iterative in nature and rely on error minimization.
Hepatic Clearance Predictions from In Vitro–In Vivo Extrapolation and the Biopharmaceutics Drug Disposition Classification System

Predicting in vivo pharmacokinetic parameters such as clearance from in vitro data is a crucial part of the drug-development process. There is a commonly cited trend that drugs that are highly protein-bound and are substrates for hepatic uptake transporters often yield the worst predictions. Given this information, 11 different data sets using human microsomes and hepatocytes were evaluated to search for trends in accuracy, extent of protein binding, and drug classification based on the Biopharmaceutics Drug Disposition Classification System (BDDCS), which makes predictions about transporter effects. As previously reported, both in vitro systems (microsomes and hepatocytes) gave a large number of inaccurate results, defined as predictions falling more than 2-fold outside of in vivo values. The weighted average of the percentage of inaccuracy was 66.5%. BDDCS class 2 drugs, which are subject to transporter effects in vivo unlike class 1 compounds, had a higher percentage of inaccurate predictions and often had slightly larger bias. However, since the weighted average of the percentage of inaccuracy was still high in both classes (81.9% for class 2 and 62.3% for class 1), it may be currently hard to use BDDCS class to predict potential accuracy. The results of this study emphasize the need for improved in vitro to in vivo extrapolation experimental methods, as using physiologically based scaling is still not accurate, and BDDCS cannot currently help predict accurate results.
Explorer Paraphrasing Revisited with Neural Machine Translation

Recognizing and generating paraphrases is an important component in many natural language processing applications. A wellestablished technique for automatically extracting paraphrases leverages bilingual corpora to find meaning-equivalent phrases in a single language by “pivoting” over a shared translation in another language. In this paper we revisit bilingual pivoting in the context of neural machine translation and present a paraphrasing model based purely on neural networks. Our model represents paraphrases in a continuous space, estimates the degree of semantic relatedness between text segments of arbitrary length, or generates candidate paraphrases for any source input. Experimental results across tasks and datasets show that neural paraphrases outperform those obtained with conventional phrase-based pivoting approaches.
Genetic diversity and evolution of reduced sulfur storage during domestication of maize

The domestication of maize has spanned a period of over 9000 years, during which time its wild relative teosinte underwent natural and artificial selection. We hypothesize that environmental conditions could have played a major role in this process. One factor of environmental variation is soil composition, which includes sulfur availability. Sulfur is reduced during photosynthesis and is used to synthesize cysteine and methionine, which drive the accumulation of δ10 (Zm00001d045937), δ18 (Zm00001d037436), β15 (Zm00001d035760), γ16 (Zm00001d005793), γ27 (Zm00001d020592), and γ50 (Zm00001d020591) zeins, representing the zein2 fraction (z2) of storage proteins in maize seeds. In this study, polymorphisms and haplotypes were detected based on six z2 genes in 60 maize and teosintes lines. Haplotypes were unevenly distributed, and abundant genetic diversity was found in teosintes. Polymorphism was highest in z2δ18, whereas for z2β15 single nucleotide polymorphism (SNP) density and insertion/deletion (indel) abundance were the lowest, indicating differential roles in seed evolution. Indels showed a clustered distribution, and most of these derived from teosintes. The indels not only led to tandem repeat polymorphisms, but also to frameshift mutations, which could also be used as null variants. In addition, neutral evolutionary tests, phylogenetic analyses, and population structures indicated that z2δ10 and z2γ50 had undergone natural selection. Indeed, a natural selection imprint could also be found with z2γ27 and z2γ16, whereas z2δ18 and z2β15 tended to be under neutral evolution. These results suggested that genetic diversity and evolution of a subset of sulfur-rich zeins could be under environmental adaptation during maize domestication.
Tissue transglutaminase induction in the pressure-overloaded myocardium regulates matrix remodelling

Aims Tissue transglutaminase (tTG) is induced in injured and remodelling tissues, and modulates cellular phenotype, while contributing to matrix cross-linking. Our study tested the hypothesis that tTG may be expressed in the pressure-overloaded myocardium, and may regulate cardiac function, myocardial fibrosis and chamber remodelling. Methods and results In order to test the hypothesis, wild-type and tTG null mice were subjected to pressure overload induced through transverse aortic constriction. Moreover, we used isolated cardiac fibroblasts and macrophages to dissect the mechanisms of tTG-mediated actions. tTG expression was upregulated in the pressure-overloaded mouse heart and was localized in cardiomyocytes, interstitial cells, and in the extracellular matrix. In contrast, expression of transglutaminases 1, 3, 4, 5, 6, 7 and FXIII was not induced in the remodelling myocardium. In vitro, transforming growth factor (TGF)-β1 stimulated tTG synthesis in cardiac fibroblasts and in macrophages through distinct signalling pathways. tTG null mice had increased mortality and enhanced ventricular dilation following pressure overload, but were protected from diastolic dysfunction. tTG loss was associated with a hypercellular cardiac interstitium, reduced collagen cross-linking, and with accentuated matrix metalloproteinase (MMP)2 activity in the pressure-overloaded myocardium. In vitro, tTG did not modulate TGF-β-mediated responses in cardiac fibroblasts; however, tTG loss was associated with accentuated proliferative activity. Moreover, when bound to the matrix, recombinant tTG induced synthesis of tissue inhibitor of metalloproteinases (TIMP)-1 through transamidase-independent actions. Conclusions Following pressure overload, endogenous tTG mediates matrix cross-linking, while protecting the remodelling myocardium from dilation by exerting matrix-preserving actions.
Mediators of disability and hope for people with spinal cord injury

Abstract Purpose: To test potential strength-based mediators of functional disability and hope in adults with spinal cord injury. Method: Two hundred and forty-two participants with spinal cord injury were recruited for this study. The mean age of participants was 44.6 years (standard deviation = 13.2), and 66.1% were men. Participants completed a survey containing a demographic questionnaire, as well as measures of functional disability, hope, self-esteem, proactive coping, perceived social support and disability acceptance. Mediation analysis was conducted using a bootstrap test for multiple mediators. Results: Proactive coping, self-esteem and perceived social support significantly mediated the relationship between functional disability and hope, while disability acceptance did not. The combination of mediators resulted in functional disability no longer being a significant predictor of hope. Conclusions: The strength-based constructs of proactive coping, self-esteem and social support appear effective in predicting hope regardless of severity of spinal cord injury. Functional disability was no longer predictive of hope after controlling for these strength-based constructs. Disability acceptance did not significantly add to the mediation model. These results provide further evidence for strength-based interventions in rehabilitation. Implications for Rehabilitation Strength-based constructs of proactive coping, self-esteem and social support are important factors for addressing hope following spinal cord injury, regardless of level of severity. Rehabilitation services providers should focus efforts on supporting clients in the accurate appraisal of predictable stressors and then generate means for addressing them as a form of proactive coping. Rehabilitation services providers must be cautious when addressing self-esteem to focus on perceived competence and learning processes rather than self-esteem directly or through the accomplishment of goals that may not be achieved. Knowing that social supports are related to hope post-spinal cord injury, it is important for rehabilitation services providers to recognize potential social supports early in the rehabilitation process and involve those social supports in the rehabilitation process when possible.
Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants.

OBJECTIVES to establish reference values for both comfortable and maximum gait speed and to describe the reliability of the gait speed measures and the correlation of selected variables with them. DESIGN descriptive and cross-sectional. METHODS subjects were 230 healthy volunteers. Gait was timed over a 7.62 m expanse of floor. Actual and height normalized speed were determined. Lower extremity muscle strength was measured with a hand-held dynamometer. RESULTS mean comfortable gait speed ranged from 127.2 cm/s for women in their seventies to 146.2 cm/s for men in their forties. Mean maximum gait speed ranged from 174.9 cm/s for women in their seventies to 253.3 cm/s for men in their twenties. Both gait speed measures were reliable (coefficients > or = 0.903) and correlated significantly with age (r > or = -0.210), height (r > or = 0.220) and the strengths of four measured lower extremity muscle actions (r = 0.190-0.500). The muscle action strengths most strongly correlated with gait speed were nondominant hip abduction (comfortable speed) and knee extension (maximum speed). CONCLUSIONS these normative values should give clinicians a reference against which patient performance can be compared in a variety of settings. Gait speed can be expected to be reduced in individuals of greater age and of lesser height and lower extremity muscle strength.