Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Study of Different Adaptive Strategies for a Robot Joint Control

complex problem of controlling a system which is multi-input, multi-output, non-linear and time variant. In this paper some adaptive fuzzy, and a new hybrid fuzzy control algorithm have been comparatively evaluated through simulations, for manipulator control. The adaptive fuzzy controllers consist of self-organizing, self-tuning, and coarse/fine adaptive fuzzy schemes. These controllers are tested for different trajectories and for varying manipulator parameters through simulations. Various performance indices like the RMS error, steady state error and maximum error are used for comparison. It is observed that the self-organizing fuzzy controller gives the best performance. The proposed hybrid fuzzy plus integral error controller also performs remarkably well, given its simple structure.
Learning Mid-level Words on Riemannian Manifold for Action Recognition

Human action recognition remains a challenging task due to the various sources of video data and large intra-class variations. It thus becomes one of the key issues in recent research to explore effective and robust representation to handle such challenges. In this paper, we propose a novel representation approach by constructing mid-level words in videos and encoding them on Riemannian manifold. Specifically, we first conduct a global alignment on the densely extracted low-level features to build a bank of corresponding feature groups, each of which can be statistically modeled as a mid-level word lying on some specific Riemannian manifold. Based on these mid-level words, we construct intrinsic Riemannian codebooks by employing K-Karcher-means clustering and Riemannian Gaussian Mixture Model, and consequently extend the Riemannian manifold version of three well studied encoding methods in Euclidean space, i.e. Bag of Visual Words (BoVW), Vector of Locally Aggregated Descriptors (VLAD), and Fisher Vector (FV), to obtain the final action video representations. Our method is evaluated in two tasks on four popular realistic datasets: action recognition on YouTube, UCF50, HMDB51 databases, and action similarity labeling on ASLAN database. In all cases, the reported results achieve very competitive performance with those most recent state-of-the-art works.
A Catalog of Reference Genomes from the Human Microbiome

News from the Inner Tube of Life A major initiative by the U.S. National Institutes of Health to sequence 900 genomes of microorganisms that live on the surfaces and orifices of the human body has established standardized protocols and methods for such large-scale reference sequencing. By combining previously accumulated data with new data, Nelson et al. (p. 994) present an initial analysis of 178 bacterial genomes. The sampling so far barely scratches the surface of the microbial diversity found on humans, but the work provides an important baseline for future analyses. Standardized protocols and methods are being established for large-scale sequencing of the microorganisms living on humans. The human microbiome refers to the community of microorganisms, including prokaryotes, viruses, and microbial eukaryotes, that populate the human body. The National Institutes of Health launched an initiative that focuses on describing the diversity of microbial species that are associated with health and disease. The first phase of this initiative includes the sequencing of hundreds of microbial reference genomes, coupled to metagenomic sequencing from multiple body sites. Here we present results from an initial reference genome sequencing of 178 microbial genomes. From 547,968 predicted polypeptides that correspond to the gene complement of these strains, previously unidentified (“novel”) polypeptides that had both unmasked sequence length greater than 100 amino acids and no BLASTP match to any nonreference entry in the nonredundant subset were defined. This analysis resulted in a set of 30,867 polypeptides, of which 29,987 (~97%) were unique. In addition, this set of microbial genomes allows for ~40% of random sequences from the microbiome of the gastrointestinal tract to be associated with organisms based on the match criteria used. Insights into pan-genome analysis suggest that we are still far from saturating microbial species genetic data sets. In addition, the associated metrics and standards used by our group for quality assurance are presented.
The research of movement control and security detection on tiered mobile network

Aimed at developing an effective approach to future sensor networks, we proposed for the first time the tiered mobile network architecture and triangle-grid model, studied the problem of wireless sensor network security detection and the nodes movement control policy. Based on the model, we proposed an immune intrusion detection schema and a dynamic two-anchor nodes localization algorithm with classified nodes. From the simulation, it obviously indicated that this project movement control strategy can show the more superior performance in data collection extremely in the large-scale wireless sensing network and security detection can effectively raise the adaptability and accuracy of data collection while Sink-collect reaches a certain quantities.
Impaired endothelial function after aneurysmal subarachnoid haemorrhage correlates with arginine:asymmetric dimethylarginine ratio.

BACKGROUND Endothelial dysfunction might be involved in the development of cerebral vasospasm after aneurysmal subarachnoid haemorrhage (SAH). METHODS This prospective observational study of 48 SAH subjects and 23 control subjects examined associations between reactive hyperaemia index (RHI) measured by peripheral arterial tonometry and plasma concentrations of S-100B protein, nitrite/nitrate, arginine, and asymmetric dimethyl arginine (ADMA). Clinical variables were flow velocity in the middle cerebral artery (VMCA), angiographic vasospasm, delayed neurological deficit, and 30 day survival. Five consecutive measurements were obtained at days 0-2, 3-5, 6-8, 9-11, and 12-15. RESULTS RHI was 1.67 (0.46) at days 0-2 after SAH but increased at days 3-15 to the same levels as in controls (P<0.05 compared with days 0-2). RHI was lower in subjects who died before day 30 (P=0.07), but no trends were observed in relation to angiographic vasospasm or delayed neurological deficit. Both arginine and ADMA increased after SAH compared with days 0-2 (P<0.05). S-100B was highest in non-survivors (P<0.01) and in subjects with neurological deficit (P<0.01). A positive correlation was found between RHI and arginine:ADMA ratio (r=0.43, P<0.005), but not with nitrite/nitrate, VMCA, or S-100B. CONCLUSIONS Peripheral flow-mediated vasodilation is attenuated in the first days after SAH indicating acute systemic endothelial dysfunction. Impairment of endothelial function after SAH correlates with imbalance of the arginine/ADMA pathway.
Respiratory viral infection, epithelial cytokines, and innate lymphoid cells in asthma exacerbations

Exacerbations of asthma are most commonly triggered by viral infections, which amplify allergic inflammation. Cytokines released by virus‐infected AECs may be important in driving this response. This review focuses on accumulating evidence in support of a role for epithelial cytokines, including IL‐33, IL‐25, and TSLP, as well as their targets, type 2 innate lymphoid cells (ILC2s), in the pathogenesis of virus‐induced asthma exacerbations. Production and release of these cytokines lead to recruitment and activation of ILC2s, which secrete mediators, including IL‐5 and IL‐13, which augment allergic inflammation. However, little information is currently available about the induction of these responses by the respiratory viruses that are strongly associated with exacerbations of asthma, such as rhinoviruses. Further human studies, as well as improved animal experimental models, are needed to investigate appropriately the pathogenetic mechanisms in virus‐induced exacerbations of asthma, including the role of ILCs.
Diabetes care provision and glycaemic control in Northern Ireland: a UK regional audit

Aims: To assess the care received, compared to national guidelines, and to investigate factors associated with glycaemic control in children and adolescents with type 1 diabetes attending clinics in Northern Ireland. Methods: An audit of the care provided to all patients attending 11 paediatric diabetes clinics commenced in 2002. A research nurse interviewed 914 patients completing a questionnaire recording characteristics, social circumstances, and aspects of diabetes management, including the monitoring of complications and access to members of the diabetes team. Glycaemic control was measured by glycosylated haemoglobin (HbA1c), determined at a DCCT aligned central laboratory. Results: The average HbA1c concentration was 8.8% (SD 1.5%), with 20% of patients achieving recommended HbA1c levels of less than 7.5%. In the year prior to the audit, 76% of patients were reviewed by a diabetes specialist nurse and 42% were tested for microalbuminuria. After adjustment for confounding factors, better glycaemic control was identified, particularly in patients who had attended exactly four diabetes clinics in the previous year, were members of the patient association Diabetes UK, and lived with both natural parents. Conclusions: In Northern Ireland only a minority of patients achieved recommended HbA1c levels. Furthermore, children and adolescents with diabetes were reviewed by fewer specialists and were less intensively monitored for microvascular complications than recommended. There was evidence of better control in children who were members of Diabetes UK, suggesting that parental attitude and involvement could lead to benefits.
Measurement and Correction of Atmospheric Effects at Different Altitudes for Remote Sensing of Sun-Induced Fluorescence in Oxygen Absorption Bands

Under sunlight illumination, the shape of the atmospheric oxygen bands [O2-B (687 nm) and O2-A (760 nm)] of the vegetation radiance is modified by chlorophyll fluorescence as a result of the filling-in process. However, for far-range measurements, atmospheric effects also modify this shape. In this paper, measurements of the depth of O2-A and O2-B absorption bands have been performed at different altitudes, from 324 to 3123 m, over different targets, including bare soil and wheat fields. It is observed that bands depth increases significantly with altitude. In the O2-B band, the total magnitude of variation is on the same order of magnitude as the change induced by vegetation, while it is much greater in the O2-A band. Three main factors affect the measurements of band depth: 1) the transmittance of the air column between ground and sensor, 2) the path radiance, and 3) the additional contribution of the ground surface outside the field of view scattered by the atmosphere (adjacency effect). We used the MODerate spectral resolution atmospheric TRANsmittance algorithm (MODTRAN) 4 to compute separately these atmospheric and environmental terms, and we corrected airborne measurements to retrieve ground-level band depths. A study was conducted to assess the sensitivity of the absorption band depth to several atmospheric parameters. The magnitudes of these effects were compared to the band depth variation induced by fluorescence. We identified temperature, air pressure, and aerosols as the most critical parameters. After correction of airborne measurements from atmospheric effects, it is found that the variation of band depth with altitude is greatly reduced. The residual variation, particularly in the case of O2-B band over vegetation, is attributed to an inaccurate assessment of the environment contribution that is scattered by the atmosphere to the sensor. These results show that the MODTRAN 4 is able to simulate oxygen band depth variations at moderate spectral resolution (i.e., 0.5-1 nm) and can be used to compute atmospheric and environmental factors for corrections of airborne measurements of oxygen band profiles. We also showed that an accurate evaluation of the contribution of environment is needed to correct the band depth from atmospheric effects in the O2-B band.
Triggered message sequence charts

We propose an extension to Message Sequence Charts called Triggered Message Sequence Charts (TMSCs) that are intended to capture system specifications involving nondeterminism in the form of conditional scenarios. The visual syntax of TMSCs closely resembles that of MSCs; the semantics allows us to translate a TMSC specification into a framework that supports a notion of refinement based on Denicola's and Hennessy's must preorder. A simple but non-trivial example illustrates the utility of our extension to MSCs.
Increased Renal Production of Transforming Growth Factor-β1 in Patients with Type II Diabetes

Diabetic nephropathy is a common complication in patients with either type I or type II diabetes. The pathogenesis of diabetic nephropathy is thought to involve both metabolic and vascular factors leading to chronic accumulation of glomerular mesangial matrix. In this context, both transforming growth factor-β (TGF-β) and endothelin may contribute to these processes. To determine if diabetic patients demonstrate increased renal production of TGF-β and endothelin, aortic, renal vein, and urinary levels of these factors were measured in 14 type II diabetic patients and 11 nondiabetic patients who were undergoing elective cardiac catheterization. Renal blood flow was measured in all patients to calculate net mass balance across the kidney. Diabetic patients demonstrated net renal production of immunoreactive TGF-β1 (830 ± 429 ng/min [mean ± SE]), whereas nondiabetic patients demonstrated net renal extraction of circulating TGF-β1 (−3479 ± 1010 ng/min, P < 0.001). Urinary levels of bioassayable TGF-β were also significantly increased in diabetic patients compared with nondiabetic patients (2.435 ± 0.385 vs. 0.569 ± 0.190 ng/mg creatinine, respectively; P < 0.001). Renal production of immunoreactive endothelin was not significantly increased in diabetic patients. In summary, type II diabetes is associated with enhanced net renal production of TGF-β1, whereas nondiabetic patients exhibit net renal extraction of circulating TGF-β1. Increased renal TGF-β production may be an important manifestation of diabetic kidney disease.
Parameterized reconstruction based Fourier Ptychography

Fourier ptychography (FP) is recently proposed as a computational imaging technique, which aims at enhancing the space-bandwidth product (SBP) of the optical imaging system. Specifically, the FP recovery routine iteratively stitches together a number of low-resolution images, which are captured under angularly varying illumination, to produce a wide-field, high-resolution image. However, the reconstruction procedure of the FP recovery routine is based on a low efficient phase retrieval algorithm and may severely degrade quality of the reconstructions. To address this problem, in this paper, we develop and test a Parameterized Reconstruction based Fourier Ptychography (PR-FP), which parameterizes the reconstruction procedure by introducing an updating-coefficient. Meanwhile, a convergence-related metric, which measures how good the reconstruction matches the input dataset, is proposed to help determine a proper updating-coefficient. Extensive experimental results demonstrate that the proposed PR-FP algorithm achieves superior reconstructions both on simulated dataset and real captured dataset.
Coeliac disease and small bowel carcinoma

Small bowel carcinoma can occur in association with villous atrophy in the jejunum. In most reported cases there is doubt as to which of these represents the primary lesion. These cases are reviewed here. A further case is reported in which a carcinoma developed in a patient known to be suffering from coeliac disease for some years, although he was not on a gluten-free diet for the time preceding the diagnosis of carcinoma. On dietary restriction he remains well at 2-year follow-up. Possible aetiological factors are discussed.
Post-production facial performance relighting using reflectance transfer

We propose a novel post-production facial performance relighting system for human actors. Our system uses just a dataset of view-dependent facial appearances with a neutral expression, captured for a static subject using a Light Stage apparatus. For the actual performance, however, a potentially different actor is captured under known, but static, illumination. During post-production, the reflectance field of the reference dataset actor is transferred onto the dynamic performance, enabling image-based relighting of the entire sequence. Our approach makes post-production relighting more practical and could easily be incorporated in a traditional production pipeline since it does not require additional hardware during principal photography. Additionally, we show that our system is suitable for real-time post-production illumination editing.
PLC System Performance With AF Relaying

The use of repeaters (relays) has recently been introduced in power line communication (PLC) systems for long-distance data transfer and thus, it becomes important to analyze the performance of relay based PLC systems. A simplified system model with distance dependent signal attenuation and additive white Gaussian noise may not cover all the factors affecting the data transfer, such as variation in amplitude (fading) and occurrence of impulsive noise. Hence, a more realistic system model with log-normal fading, distance dependent signal attenuation, and a Bernoulli-Gaussian impulsive noise is considered in this paper to study the end-to-end average bit error rate (BER) and the end-to-end average channel capacity of a PLC system equipped with amplify-and-forward (AF) relays. Approximate closed-form expressions of the end-to-end average BER for binary phase-shift keying and the average channel capacity for high signal-to-noise ratio are obtained. The performance of the PLC system with AF relays is found to be superior compared to that of a direct transmission PLC system for fixed transmission power.
An efficient relevant slicing method for debugging

Dynamic program slicing methods are widely used for debugging, because many statements can be ignored in the process of localizing a bug. A dynamic program slice with respect to a variable contains only those statements that actually had an influence on this variable. However, during debugging we also need to identify those statements that actually did not affect the variable but could have affected it had they been evaluated differently. A relevant slice includes these potentially affecting statements as well, therefore it is appropriate for debugging. In this paper a forward algorithm is introduced for the computation of relevant slices of programs. The space requirement of this method does not depend on the number of different dynamic slices nor on the size of the execution history, hence it can be applied for real size applications.
Ptolemaic indexing of the signature quadratic form distance

The signature quadratic form distance has been introduced as an adaptive similarity measure coping with flexible content representations of multimedia data. While this distance has shown high retrieval quality, its high computational complexity underscores the need for efficient search methods. Recent research has shown that a huge improvement in search efficiency is achieved when using metric indexing. In this paper, we analyze the applicability of Ptolemaic indexing to the signature quadratic form distance. We show that it is a Ptolemaic metric and present an application of Ptolemaic pivot tables to image databases, resolving queries nearly four times as fast as the state-of-the-art metric solution, and up to 300 times as fast as sequential scan.
Hepatitis C Virus Core Protein Enhances p53 Function through Augmentation of DNA Binding Affinity and Transcriptional Ability*

Hepatitis C virus (HCV) causes a persistent infection, chronic hepatitis, and hepatocellular carcinoma. Since there are several reports indicating that some viruses influence the tumor suppressor p53 function, we determined the effects of HCV proteins on p53 function and its mechanism determined by use of a reporter assay. Among seven HCV proteins investigated (core, NS2, NS3, NS4A, NS4B, NS5A, and NS5B), only core protein augmented the transcriptional activity of p53 and increased the expression of p21 waf1 protein, which is a major target of p53. Core protein increased both DNA-binding affinity of p53 in electrophoretic morbidity shift assay and transcriptional ability of p53 itself in a reporter assay. The direct interaction between core protein and C terminus of p53 was also shown by glutathioneS-transferase fusion protein binding assay. In addition, core protein interacted with hTAFII28, a component of the transcriptional factor complex in vivo and in vitro. These results suggest that HCV core protein interacts with p53 and modulates p53-dependent promoter activities during HCV infection.
Deep Linguistic Multilingual Translation and Bilingual Dictionaries

This paper describes the MulTra project, aiming at the development of an efficient multilingual translation technology based on an abstract and generic linguistic model as well as on object-oriented software design. In particular, we will address the issue of the rapid growth both of the transfer modules and of the bilingual databases. For the latter, we will show that a significant part of bilingual lexical databases can be derived automatically through transitivity, with corpus validation.
Audio-visual tracking of a variable number of speakers with a random finite set approach

Speaker tracking in smart environments has attracted an increasing amount of attention in the past few years. Our recent studies show that fusing audio and visual modalities can provide improved robustness and accuracy in some challenging tracking scenarios such as occlusions (by the limited field of view of cameras or by other speakers), as compared with the tracking system based on individual modalities. In these previous works, however, the number of speakers is assumed to be known and remains fixed over the tracking process. In this paper, we focus on a more realistic and complex scenario where the number of speakers is unknown and variable with time. We extend the random finite set (RFS) theory for multi-modal data and devise a particle filter algorithm under the RFS framework for audiovisual (AV) tracking. The experiments on the AV16.3 dataset show the capability of our proposed algorithm for tracking both the number of speakers and the positions of the speakers in challenging scenarios such as occlusions.
Elements of Successful Restraint and Seclusion Reduction Programs and Their Application in a Large, Urban, State Psychiatric Hospital

In recent years, there has been a strong desire on the part of inpatient psychiatric programs to reduce the use of seclusion and mechanical restraint. There is a consensus among those who have published descriptions of successfully implemented restraint and seclusion reduction programs that the essential elements of such programs are high level administrative endorsement, participation by recipients of mental health services, culture change, training, data analysis, and individualized treatment. This article describes these elements and their application in a successful restraint reduction program at Creedmoor Psychiatric Center, a large, urban, state-operated psychiatric hospital that reduced its combined restraint and seclusion rate by 67% over a period of 2 years.