Miracle-dz/UniFAR-FTUs huggingface dataset:
Interspecific Variability of Filarioid Nematodes of the Genus Setaria Viborg, 1795 Occurring in Wild Ruminants in Europe: A Review

Abstract Nematodes of the genus Setaria (Spirurida, Filarioidea) are parasites of vertebrates except fish. Dangerous are their larvae (microfilariae) that may migrate to the central nervous system of hosts causing serious neuropathic disorders of vertebrates including human. Setaria cervi, S. labiatopapillosa, and S. tundra are potential parasites in wild ruminants in Europe. The most recent studies of variability among Setaria spp. are based on a combination of morphometric and molecular methods. Although there is no clear consistency in the morphological structures used by different authors, a morphological key was compiled based on the body length, the arrangement of peribucal crown, and the number of papillae in the caudal part of the body. The barcoding system of Setaria genus is based on sequences of conserved gene polymorphisms such as COX1 and rDNA genes. The published sequences of COX1 gene in Setaria populations were analysed using in silico phylogenetic analysis by the maximum likelihood method (Tamura-Nei model). This analysis confirmed that the COX1 nucleotide polymorphisms genes are species-specific and represent the theoretical basis for the development of markers enabling barcoding system in the genus Setaria.
Unraveling Spurious Properties of Interaction Networks with Tailored Random Networks

We investigate interaction networks that we derive from multivariate time series with methods frequently employed in diverse scientific fields such as biology, quantitative finance, physics, earth and climate sciences, and the neurosciences. Mimicking experimental situations, we generate time series with finite length and varying frequency content but from independent stochastic processes. Using the correlation coefficient and the maximum cross-correlation, we estimate interdependencies between these time series. With clustering coefficient and average shortest path length, we observe unweighted interaction networks, derived via thresholding the values of interdependence, to possess non-trivial topologies as compared to Erdös-Rényi networks, which would indicate small-world characteristics. These topologies reflect the mostly unavoidable finiteness of the data, which limits the reliability of typically used estimators of signal interdependence. We propose random networks that are tailored to the way interaction networks are derived from empirical data. Through an exemplary investigation of multichannel electroencephalographic recordings of epileptic seizures – known for their complex spatial and temporal dynamics – we show that such random networks help to distinguish network properties of interdependence structures related to seizure dynamics from those spuriously induced by the applied methods of analysis.
Subsets of Finns with High HDL to Total Cholesterol Ratio Show Evidence for Linkage to Type 2 Diabetes on Chromosome 6q

Objectives: The purpose of this study was to examine carefully heterogeneity underlying evidence for linkage to type 2 diabetes (T2DM) on chromosome 6q from two sets of FUSION families. Methods: Ordered subsets analysis (OSA) was performed on two sets of FUSION families. For OSA results showing significant improvement in evidence for linkage, T2DM-related phenotypes were compared between individuals with T2DM within the subset versus the complement. Results: OSA analysis revealed 105 families with the highest average HDL to total cholesterol ratio (HDL ratio) that had strongly increased evidence for linkage (MLS = 7.91 at 78.0 cM; uncorrected p = 0.00002). Subjects with T2DM within this subset were significantly leaner, had lower fasting glucose, insulin, and C-peptide, and more favorable cardiovascular risk profile compared to the complement set of subjects with T2DM. OSA also revealed 33 families with the lowest average fasting insulin that had increased evidence for linkage at a second locus (MLS = 3.45 at 128 cM; uncorrected p = 0.017) coincident with quantitative trait locus linkage analysis results for fasting and 2-hour insulin in subjects without T2DM. Conclusions: These results suggest two diabetes susceptibility loci on chromosome 6q that may affect subsets of individuals with a milder form of T2DM.
Determining a pulse signal from a video sequence

According to an aspect, there is provided an apparatus for determining a pulse signal from a video sequence, the apparatus comprising a processing unit configured to obtain a video sequence, the videosequence comprising a plurality of image frames; form a plurality of video sub-sequences, each video sub-sequence comprising a frame segment from each image frame in a subset of the image frames, wherein each image frame is divided into a plurality of frame segments; for a first video sub-sequence formed from frame segments from a first subset of image frames, comparing a representative value forthe first video sub-sequence to representative values for video sub-sequences formed from frame segments from a second subset of image frames; concatenate the first video sub-sequence to a second video sub-sequence formed from frame segments from the second subset of image frames based on the comparison of representative values; and determine a pulse signal from the concatenated video sub-sequences.
Focused optimization for online detection of anomalous regions

This paper presents an online algorithm for early detection of anomalies in robot execution, where the anomalies occur in a particular region of the robot's state space. Assuming that a model of normal execution is given, the algorithm detects regions of space where data significantly deviate from normal. It achieves this by focusing optimization over a fixed-parameter family of shapes to find the one among them that is most likely anomalous, and then using this region to decide whether execution is anomalous. Experiments using synthetic and real robot data support the effectiveness of the approach.
Structure-from-Motion Using Historical Aerial Images to Analyse Changes in Glacier Surface Elevation

The application of structure-from-motion (SfM) to generate digital terrain models (DTMs) derived from different image sources has strongly increased, the major reason for this being that processing is substantially easier with SfM than with conventional photogrammetry. To test the functionality in a demanding environment, we applied SfM and conventional photogrammetry to archival aerial images from Zmuttgletscher, a mountain glacier in Switzerland, for nine dates between 1946 and 2005 using the most popular software packages, and compared the results regarding bundle adjustment and final DTM quality. The results suggest that by using SfM it is possible to produce DTMs of similar quality as with conventional photogrammetry. Higher point cloud density and less noise allow a higher ground resolution of the final DTM, and the time effort from the user is 3–6 times smaller, while the controls of the commercial software packages Agisoft PhotoScan (Version 1.2; Agisoft, St. Petersburg, Russia) and Pix4Dmapper (Version 3.0; Pix4D, Lausanne, Switzerland) are limited in comparison to ERDAS photogrammetry. SfM performs less reliably when few images with little overlap are processed. Even though SfM facilitates the largely automated production of high quality DTMs, the user is not exempt from a thorough quality check, at best with reference data where available. The resulting DTM time series revealed an average change in surface elevation at the glacier tongue of -67.0 ± 5.3 m. The spatial pattern of changes over time reflects the influence of flow dynamics and the melt of clean ice and that under debris cover. With continued technological advances, we expect to see an increasing use of SfM in glaciology for a variety of purposes, also in processing archival aerial imagery.
A Differentiated Service Based Incentive Mechanism in P2P File-sharing Systems

In P2P file-sharing systems, incentives to motivate peers to provide their files are essential. The objective of this paper is to enable the peers to get service differentiation in a P2P network based on how much the peers are willing to pay for a file. A peer can obtain higher download bandwidth if he pays a relatively higher price. To do so, he should earn more money by providing more valuable files to others. As a result the system where the peers reside will encourage all peers to contribute to their maximum extent to others. To realize the service differentiation, we propose a bandwidth allocation algorithm, and a reliable and secure payment scheme to serve the algorithm. Through the experiments, we illustrate that the algorithm can achieve its goal of service differentiation and can induce efficient file sharing by rational peers. Also, we show that the algorithm can properly adapt to different events such as peer's arrival, peer's departure and network congestion.
Diabetes Alters the Expression and Translocation of the Insulin-Sensitive Glucose Transporters 4 and 8 in the Atria

Although diabetes has been identified as a major risk factor for atrial fibrillation, little is known about glucose metabolism in the healthy and diabetic atria. Glucose transport into the cell, the rate-limiting step of glucose utilization, is regulated by the Glucose Transporters (GLUTs). Although GLUT4 is the major isoform in the heart, GLUT8 has recently emerged as a novel cardiac isoform. We hypothesized that GLUT-4 and -8 translocation to the atrial cell surface will be regulated by insulin and impaired during insulin-dependent diabetes. GLUT protein content was measured by Western blotting in healthy cardiac myocytes and type 1 (streptozotocin-induced, T1Dx) diabetic rodents. Active cell surface GLUT content was measured using a biotinylated photolabeled assay in the perfused heart. In the healthy atria, insulin stimulation increased both GLUT-4 and -8 translocation to the cell surface (by 100% and 240%, respectively, P<0.05). Upon insulin stimulation, we reported an increase in Akt (Th308 and s473 sites) and AS160 phosphorylation, which was positively (P<0.05) correlated with GLUT4 protein content in the healthy atria. During diabetes, active cell surface GLUT-4 and -8 content was downregulated in the atria (by 70% and 90%, respectively, P<0.05). Akt and AS160 phosphorylation was not impaired in the diabetic atria, suggesting the presence of an intact insulin signaling pathway. This was confirmed by the rescued translocation of GLUT-4 and -8 to the atrial cell surface upon insulin stimulation in the atria of type 1 diabetic subjects. In conclusion, our data suggest that: 1) both GLUT-4 and -8 are insulin-sensitive in the healthy atria through an Akt/AS160 dependent pathway; 2) GLUT-4 and -8 trafficking is impaired in the diabetic atria and rescued by insulin treatment. Alterations in atrial glucose transport may induce perturbations in energy production, which may provide a metabolic substrate for atrial fibrillation during diabetes.
An Adaptive Resonance Theory Neural Network (ART NN)-based fault diagnosis system: A Case Study of gas turbine system in Resak Development Platform

The project introduces a case study of a real gas turbine system in Resak Development Platform. There are two main objectives of this project. The first objective is aimed to achieve an online fault diagnosis model using Adaptive Resonance Theorem (ART) as a considered option to avoid potential faults happen during plant system and process. The second objective is focused on a solution to improve the maintenance plan for the gas turbine system to be more economical yet still maintaining its safety level.
A single night light exposure acutely alters hormonal and metabolic responses in healthy participants

Many animal studies have reported an association between melatonin suppression and the disturbance of metabolic responses; yet, few human studies have investigated bright light effects on metabolic and hormonal responses at night. This study investigated the impact of light on plasma hormones and metabolites prior to, and after, an evening meal in healthy participants. Seventeen healthy participants, 8 females (22.2 ± 2.59 years, mean ± s.d.) and 9 males (22.8 ± 3.5 years) were randomised to a two-way cross-over design protocol; dim light (DL) (<5 lux) and bright light (BL) (>500 lux) sessions, separated by at least seven days. Saliva and plasma samples were collected prior to and after a standard evening meal at specific intervals. Plasma non-esterified fatty acid (NEFA) levels were significantly higher pre-meal in DL compared to BL (P < 0.01). Plasma glucose and insulin levels were significantly greater post-meal in the BL compared to DL session (P = 0.02, P = 0.001), respectively. Salivary melatonin levels were significantly higher in the DL compared to those in BL session (P = 0.005). BL at night was associated with significant increases in plasma glucose and insulin suggestive of glucose intolerance and insulin insensitivity. Raised pre-prandial NEFA levels may be due to changes in insulin sensitivity or the presence of melatonin and/or light at night. Plasma triglyceride (TAG) levels were the same in both sessions. These results may explain some of the health issues reported in shift workers; however, further studies are needed to elucidate the cause of these metabolic changes.
Purification of histidine‐tagged single‐chain Fv‐antibody fragments by metal chelate affinity precipitation using thermoresponsive copolymers

Metal chelate affinity precipitation (MCAP) has been successfully developed as a simple purification process for proteins that have affinity for metal ions. The present lack of widespread applications for this technique as compared to immobilized metal affinity chromatography (IMAC) may be related to the scarcity of well‐characterized metal affinity macroligands (AML) and their applications to the number of different purification systems. In the present work we describe a detailed study of a new purification system using metal‐loaded thermoresponsive copolymers as AML. The copolymers of vinylimidazole (VI) with N‐isopropylacrylamide (NIPAM) were synthesized by radical polymerization with imidazole contents of 15 and 24 mol%. When loaded with Cu(II) and Ni(II) ions the copolymers selectively precipitated extracellularly expressed histidine‐tagged single‐chain Fv‐antibody fragments (His6‐scFv fragments) from the fermentation broth free from E. coli cells. Precipitation was induced by salt at mild temperatures and the bound antibody fragments were recovered by dissolving the protein‐polymer complex in EDTA buffer and subsequent reprecipitation of the polymer. His6‐scFv fragments were purified with yields of 91 and 80% and purification folds of 16 and 21 when Cu(II) and Ni(II) copolymers were used, respectively. The protein precipitation capacity of the Ni(II) copolymer showed a dependence on the VI concentration in the copolymer. The SDS‐PAGE pattern showed significant purification of the antibody fragments. © 2003 Wiley Periodicals, Inc. Biotechnol Bioeng 84: 494–503, 2003.
Scratchpad memory: a design alternative for cache on-chip memory in embedded systems

In this paper we address the problem of on-chip memory selection for computationally intensive applications, by proposing scratch pad memory as an alternative to cache. Area and energy for different scratch pad and cache sizes are computed using the CACTI tool while performance was evaluated using the trace results of the simulator. The target processor chosen for evaluation was AT91M40400. The results clearly establish scratchpad memory as a low power alternative in most situations with an average energy reduction of 40%. Further the average area-time reduction for the scratchpad memory was 46% of the cache memory.
Learning Social Image Embedding with Deep Multimodal Attention Networks

Learning social media data embedding by deep models has attracted extensive research interest as well as boomed a lot of applications, such as link prediction, classification, and cross-modal search. However, for social images which contain both link information and multimodal contents (e.g., text description, and visual content), simply employing the embedding learnt from network structure or data content results in sub-optimal social image representation. In this paper, we propose a novel social image embedding approach called Deep Multimodal Attention Networks (DMAN), which employs a deep model to jointly embed multimodal contents and link information. Specifically, to effectively capture the correlations between multimodal contents, we propose a multimodal attention network to encode the fine-granularity relation between image regions and textual words. To leverage the network structure for embedding learning, a novel Siamese-Triplet neural network is proposed to model the links among images. With the joint deep model, the learnt embedding can capture both the multimodal contents and the nonlinear network information. Extensive experiments are conducted to investigate the effectiveness of our approach in the applications of multi-label classification and cross-modal search. Compared to state-of-the-art image embeddings, our proposed DMAN achieves significant improvement in the tasks of multi-label classification and cross-modal search.
Reappraisal of the specific status of Rhabdias (Nematoda: Rhabdiasoidea) from Malagasy chameleons in the Paris museum collection.

To date Rhabdias gemellipara is the only species described from Malagasy chameleons, but heterogeneity of the material had been suspected. 11 samples of Rhabdias parasites present in the Paris Natural History Museum collection were examined. The size and shape of the buccal capsule, shape and length of the oesophagus, shape of the apical region of the intestine, extent of the genital tract and structure of the cuticular vesicle led to the distinction of five species. Rhabdias rabetafikae n. sp. parasitises Columma cucullatum in the northeastern region (Cap Machoual). In the eastern region, R. nasutum n. sp. is parasitic in C. nasutum, and R. brevicorne n. sp. in C. brevicorne. All three species are similar in size to the African species parasitic in chameleons from which they can be distinguished by several characters. The small species, R. gemellipara, type host C. parsonii from the eastern region, was also found in C. brevicorne from the same geographic region. In the central region, Rhabdias sp. , equally collected from C. brevicorne, is distinguished from R. gemellipara by a laterally flattened buccal capsule. All Malagasy species are hermaphrodites. Throughout the worm's life spermatozoids are formed intermittently in a band of cells situated at 1-2 mm from the extremity of the ovaries; they migrate in the ovaries and accumulate in the oviducts.
Integrating GQM and Data Warehousing for the Definition of Software Reuse Metrics

Software reuse is the practice of using existing artifacts (code, architecture, requirements, etc.) in new projects. The advantages of using previously developed software in new projects are easily understood. However, reusing artifacts is usually done in an ad-hoc and incipient way, requiring an important effort of adaptation, so developers frequently prefer to develop components from scratch. In this paper we present a strategy that is being adopted by Critical Software, a medium-sized company, to promote software reuse. This strategy starts by assuming that the success of software reuse is dependent on the ability of measuring its advantages. We have thus proposed the use of the Goal-Question-Metric (GQM) technique, extended with Data Warehousing data model design concepts to extract a set of reuse-specific metrics for measuring the gains of reuse. We show that it is very easy to measure the productivity improvement due to code reuse, by simply measuring or estimating the efforts of developing a component for reuse, integrating it a new artifact, and developing this artifact, built with reusing the component.
Greek Polytonic OCR Based on Efficient Character Class Number Reduction

Recognition of document images having Greek polytonic (multi accent) characters is a challenging task due the large number of existing character classes (more than 270). In this paper, we propose a novel OCR framework for the recognition of machine-printed Greek polytonic documents that is based on combining five different recognition modules in order to have a small number of classes (around 30) in each module. One recognition module is used for accent recognition while four recognition modules are used for the recognition of characters belonging to different horizontal text zones. The proposed system also includes the following stages: a) pre-processing, b) text dewarping, text line and text baseline detection, c) accent and character detection and d) combination of accent and character recognition results. Extended experiments have been conducted in order to record the performance of the proposed OCR system, of all involved recognition modules as well as of the accent detection stage.
HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing

Sign language conveys information through multiple channels, such as hand shape, hand movement, and mouthing. Modeling this multichannel information is a highly challenging problem. In this paper, we elucidate the link between spoken language and sign language in terms of production phenomenon and perception phenomenon. Through this link we show that hidden Markov model-based approaches developed to model "articulatory" features for spoken language processing can be exploited to model the multichannel information inherent in sign language for sign language processing.
Relation between vesicular eruptions on the hands and tinea pedis, atopic dermatitis and nickel allergy.

The aetiology of vesicular eruptions on the palms and on the sides of the fingers (pompholyx) is unclear. The present study was undertaken to establish whether tinea pedis, atopic dermatitis or nickel allergy is a risk factor for development of vesicular eruptions. Three-hundred-and-ninety-eight individuals (included from an ongoing population study on hand eczema in twins) were included. A history of previous hand eczema and atopic dermatitis was taken, and a clinical examination including a patch test with nickel was performed. A test sample for tinea pedis was taken from the fourth interdigital space on the right foot. The relative risk for vesicular eruptions present in individuals with tinea pedis was 3.58 (confidence limits 1.19-10.82, p < 0.05). For individuals with atopic dermatitis, relative risk was 1.44 (confidence limits 0.34-6.07, n.s.) and for those with nickel allergy it was 0.45 (confidence limits 0.06-3.36, n.s.). A relationship between tinea pedis and vesicular eruptions on the hands was statistically confirmed in the present study. In this part of the population study material, no association with atopic dermatitis or nickel allergy was observed.