Miracle-dz/UniFAR-FTUs huggingface dataset:
Rough Set-Based Approach for Automatic Emotion Classification of Music

Music emotion is an important component in the field of music information retrieval and computational musicology. This paper proposes an approach for automatic emotion classification, based on rough set (RS) theory. In the proposed approach, four different sets of music features are extracted, representing dynamics, rhythm, spectral, and harmony. From the features, five different statistical parameters are considered as attributes, including up to the 4th order central moments of each feature, and covariance components of mutual ones. The large number of attributes is controlled by RS-based approach, in which superfluous features are removed, to obtain indispensable ones. In addition, RS-based approach makes it possible to visualize which attributes play a significant role in the generated rules, and also determine the strength of each rule for classification. The experiments have been performed to find out which audio features and which of the different statistical parameters derived from them are important for emotion classification. Also, the resulting indispensable attributes and the usefulness of covariance components have been discussed. The overall classification accuracy with all statistical parameters has recorded comparatively better than currently existing methods on a pair of datasets.
Zero-Voltage and Zero-Current Switching PWM DC–DC Converter Using Controlled Secondary Rectifier With One Active Switch and Nondissipative Turn-Off Snubber

Soft switching pulse-width modulation (PWM) dc–dc full-bridge converter with controlled rectifier on the secondary side of the high-frequency power transformer is presented in this paper. An active secondary switch, including new nondissipative passive energy recovery turn-off snubber on the secondary side and modified PWM control algorithm, provide conditions for zero-voltage and zero-current turn-on and zero-current turn-off of IGBT transistors on the primary side of the high-frequency dc–dc converter. The simple passive energy recovery snubber ensures also zero-voltage turn-off of the transistor on the secondary side of the power transformer. The principle of operation is explained and analyzed and consequently verified on a 2 kW, 50 kHz laboratory model of the converter.
Communication Functions for a Gate Driver Under High Voltage and High dv/dt

The control of <sc>mosfet</sc> or IGBT transistors is carried out by a dedicated circuit called « driver », which is located as close as possible to the power module. It transmits switch-<sc>on</sc> and switch-<sc>off </sc> orders coming from the control unit and ensures the integrity of the component through safety functions. It also provides a galvanic isolation essential to guarantee the effective functioning of the system and the users’ safety. Switching times of SiC <sc>mosfet</sc> are faster than Si IGBT, and SiC <sc>mosfet</sc> can also work under a greater dc voltage than Si <sc>mosfet</sc>. This involves the presence of higher dv/dt in the converter. In this paper, a communication function is studied to be integrated into the new generations of drivers for SiC <sc>mosfet</sc> . The interest of the implementation of a communication system in a driver is presented. Currently available solutions on the market to provide isolation to communication channels are debated. The theoretical development of a solution called « CAN-ISO » is detailed and experimental results under a high peak voltage of 2 kV and a high dv/dt equal to <inline-formula><tex-math notation="LaTeX">${\text{125}}\;{\text{kV}}/{\mu}{\text{s}}$</tex-math> </inline-formula> are presented.
ESTIMATION OF SURFACE QUALITY IN MACHINING OF HARDNED MATERIAL USING COATED CARBIDE TOOL

In this study, an attempt has been made to evaluate the performance of multilayer coated carbide inserts during dry turning of hardened AISI 4340 st eel (47 HRC). The effect of machining parameters (depth of cut, feed and cutting speed) on surface r oughness parameters (Ra and Rz) were investigated by applying ANOVA. The experiments were planned basedon Taguchi’s L 27 orthogonal array. Results showed that surface roughness parameters (Ra and Rz) are mainly influenced by feed and cutting speed, whereas depth of cut exhibits minimum influence on surface roughness (Rz) and neglegible influence in case of surface roughness (Ra). The ex perimental data were further anlyzed to predict the optimal range of surface roughness parameters (Ra a nd Rz).
Study of Two-Dimensional Photonic Crystal Arrays for Beam Splitters

The effects of periodic modulation in dielectric constants on the formation of photonic band gaps of two-dimensional arrays have been characterized. When a defect is introduced into a perfect photonic crystal, a localized effect may be found at frequencies within the photonic band gap. A line defect thus acts as a waveguide, and a point defect can behave as a resonant cavity. In this report, we investigated photonic crystal structures based on germanium ( n = 4.0), silicon ( n = 3.49), titanium oxide ( n = 2.71), and silica ( n = 1.50) materials. Both square lattice arrays and triangular lattice arrays have been studied. The two-dimensional photonic structures exhibited the Mach-Zehnder interferometer function that could be applied to optical switches or optical integrators. The beam splitter had the crossed linear defects shape, constructed by two orthogonal line defects. The ratio of defect radius to the lattice constant was 0.28, and the best moving distance has been 0.76 to achieve equal output energy. DOI: http://dx.doi. org/10.5755/j01.ms.22.2. 12928
Clustering of hyper-heuristic selections using the Smith-Waterman algorithm for offline learning

Selection hyper-heuristics are methods that are typically used to solve computationally hard optimisation problems (see [1]). A selection hyper-heuristic selects heuristics from a given set of low level heuristics, deciding which heuristic to apply at a given point during the optimisation process. The sequences of low level heuristic selections and objective function values that result from the application of a simple selection hyper-heuristic to the HyFlex problem set (see [3]) are used to construct an offline learning database. The intention is to select effective subsequences of heuristics from this database and use them as inputs to machine learning algorithms in order to improve optimisation.
Immediate and late outcomes of stenting for severe extracranial internal carotid artery stenosis in octogenarian patients

Multiple studies suggest that internal carotid artery stenting can be performed safely in octogenarians with low periprocedural complication rates. However, great concern still exists as to whether these patients will gain long‐term benefits from this procedure given their advanced age and uncertain life expectancy. We decided to conduct a retrospective study to determine short‐and long‐term clinical outcomes and to analyze survival duration in this population.
A muti-organ localization method in CT volumes

This paper proposes a robust method for multi-organ localization of 3D CT images. Improved Haar-like feature is implemented to narrow down the beginning and ending positions of organ slices. Relying on the fact that voxel intensity of one organ may approximate to others', characteristics metrics are generated based on intensity and spatial position of every single voxel in a target area and trained by random forests afterward, such that a more robust output is presented as a probability density. A polished user interface is also designed deliberately for display of patient's organ bounding boxes.
Citation for published version Lamont , Ruth A . and Swift , Hannah J . and Abrams , Dominic ( 2015 ) A Review and Meta-Analysis of Age-Based Stereotype Threat : Negative Stereotypes

If you believe this document infringes copyright then please contact the KAR admin team with the take-down information provided at http://kar.kent. ac.uk/contact.html Citation for published version Lamont, Ruth A. and Swift, Hannah J. and Abrams, Dominic (2015) A Review and Meta-Analysis of Age-Based Stereotype Threat: Negative Stereotypes, Not Facts, Do the Damage. Psychology and Aging . pp. 1-14. ISSN 0882-7974.
Neurological Involvement in Primary Sjögren Syndrome: A Focus on Central Nervous System

Objectives Sjögren syndrome is an autoimmune disease involving mainly salivary and lacrimal glands. Beyond widely described PNS involvement, high variable prevalence of CNS manifestations ranging from 2.5 and 60% of all pSS patients has been reported, without specific syndrome definition. The aim of this cohort study was to evaluate the prevalence of CNS signs and symptoms in pSS patients and to identify possible biomarkers of CNS damage. Methods 120 patients with pSS diagnosis according to the 2002 American-European Consensus Group criteria were enrolled after exclusion of secondary causes. All patients underwent to a wide neurological, neuropsychological, psychiatric, neuroradiological and ultrasonographic evaluation. Results Central and peripheral nervous system involvement was observed in 81 patients with a prevalence of 67.5%. The prevalence of CNS involvement was significantly higher than PNS disease (p 0.001). 68 patients (84%) shown non-focal CNS symptoms and 64 (79%) focal CNS deficits with headache as the most common feature (46.9%), followed by cognitive (44.4%) and mood disorders (38.3%). Particularly, we observed a high prevalence of migraine without aura, subcortical frontal executive functions and verbal memory impairment and apathy/alexythimia. MR spectroscopy revealed a reduction of NAA levels or NAA/Cr ratio decrease in subcortical frontal and basal ganglia white matter, while ultrasonography showed an impairment of microvasculature response. At multivariate analysis, headache, cognitive disorders and psychiatric symptoms was significantly associated to serological markers (anti-SSA), MRS and ultrasonographic features. Conclusions The higher prevalence of MWO-mimic headache, cognitive dys-esecutive syndrome and mood disorders observed in this series confirmed previous evidences of a higher diffused CNS compromission rather than focal involvement such as SM-like clinical course or NMO-like syndrome. The association with immunological biomarkers, metabolic cerebral dysfunction and microvascular damage suggests a possible endothelial dysfunction of the cerebral microcirculation or a potential inflammation-mediated shift of the neurovascular coupling.
Comparative Genome Analysis and Phylogenetic Relationship of Order Liliales Insight from the Complete Plastid Genome Sequences of Two Lilies (Lilium longiflorum and Alstroemeria aurea)

Monocots are one of the most diverse, successful and economically important clades of angiosperms. We attempt to analyse the complete plastid genome sequences of two lilies and their lengths were 152,793bp in Lilium longiflorum (Liliaceae) and 155,510bp in Alstroemeria aurea (Alstroemeriaceae). Phylogenetic analyses were performed for 28 taxa including major lineages of monocots using the sequences of 79 plastid genes for clarifying the phylogenetic relationship of the order Liliales. The sister relationship of Liliales and Asparagales-commelinids was improved with high resolution. Comparative analyses of inter-familial and inter-specific sequence variation were also carried out among three families of Liliaceae, Smilacaceae, and Alstroemeriaceae, and between two Lilium species of L . longflorum and L . superbum . Gene content and order were conserved in the order Liliales except infA loss in Smilax and Alstroemeria . IR boundaries were similar in IRa, however, IRb showed different extension patterns as JLB of Smilax and JSB in Alstroemeria . Ka/Ks ratio was high in matK among the pair-wise comparison of three families and the most variable genes were psaJ, ycf1, rpl32, rpl22, matK, and ccsA among the three families and rps15, rpoA, matK, and ndhF between Lilium.
Cryopreservation Causes Genetic and Epigenetic Changes in Zebrafish Genital Ridges

Cryopreservation is an important tool routinely employed in Assisted Reproduction Technologies (ARTs) and germplasm banking. For several years, the assessment of global DNA fragmentation seemed to be enough to ensure the integrity of genetic material. However, cryopreservation can produce molecular alterations in key genes and transcripts undetectable by traditional assays, such modifications could interfere with normal embryo development. We used zebrafish as a model to study the effect of cryopreservation on key transcripts and genes. We employed an optimized cryopreservation protocol for genital ridges (GRs) containing primordial germ cells (PGCs) considered one of the best cell sources for gene banking. Our results indicated that cryopreservation produced a decrease in most of the zebrafish studied transcripts (cxcr4b, pou5f1, vasa and sox2) and upregulation of heat shock proteins (hsp70, hsp90). The observed downregulation could not always be explained by promoter hypermethylation (only the vasa promoter underwent clear hypermethylation). To corroborate this, we used human spermatozoa (transcriptionally inactive cells) obtaining a reduction in some transcripts (eIF2S1, and LHCGR). Our results also demonstrated that this effect was caused by freezing/thawing rather than exposure to cryoprotectants (CPAs). Finally, we employed real-time PCR (qPCR) technology to quantify the number of lesions produced by cryopreservation in the studied zebrafish genes, observing very different vulnerability to damage among them. All these data suggest that molecular alterations caused by cryopreservation should be studied in detail in order to ensure the total safety of the technique.
Silver Nanowire Coatings for Electrically Conductive Textiles

There has been steep growth in wearable devices over the past 5 years and the ability to seamlessly integrate these devices into textiles is an exciting next step. One crucial component of achieving e-textiles is the ability of a textile to be electrically conductive for signal and power transfer. Commercially available conductive fabric typically involves metal plating, which degrades with bending and stretching. Recent alternative coatings such as polymers and carbon nanotubes have issues with low lifetimes and poor conductivity, respectively. These problems are addressed by coating fabrics and threads with networks of solution-processed silver nanowires. These silver nanowire coatings are conductive and mechanically flexible. Several deposition techniques were explored to coat fabrics including dip coating, brush coating, and transfer printing. In the latter, nanowires are printed on commercially available transfer paper coated using the Mayer rod coating technique and transferred onto different fabrics (cotton, polyester-cotton and viscose-linen). Transfer printing uses the least amount of silver nanowires compared to other coating techniques and is therefore lowest in cost. Sheet resistances in the range of 10 80 Ω/ with a materials cost estimate of $ 16 4/m respectively were achieved using the transfer printing technique. The transfer printing technique offers advantages including ease of application and patterning, it works for various natural and synthetic fabrics without the need for pre-treatment and it can be done at a separate time from textile fabrication. The silver nanowire coating compared to typical metal inks provide high mechanical flexibility, transparency and used less metal which results in a thinner, lighter-weight film. These silver nanowire printed fabrics are used to show three applications an LED integrated fabric for apparel and fashion, electromagnetic interference shielding and Joule heating for thermal management. Overall, this research demonstrates an industrially compatible, printable coating process that can impart conductivity to a wide range of fabrics. iii This research also designs and fabricates stretchable conductive threads. Polyesterrubber threads in a stretched-state were dip-coated with silver nanowires. After several stretching cycles, the silver nanowire coating creates a buckling pattern that helps preserve the resistance of the thread with subsequent stretching.
Polymeric optical fiber tweezers as a tool for single cell micro manipulation and sensing

In this paper a new type of polymeric fiber optic tweezers for single cell manipulation is reported. The optical trapping of a yeast cell using a polymeric micro lens fabricated by guided photo polymerization at the fiber tip is demonstrated. The 2D trapping of the yeast cells is analyzed and maximum optical forces on the pN range are calculated. The experimental results are supported by computational simulations using a FDTD method. Moreover, new insights on the potential for simultaneous sensing and optical trapping, are presented.
Nonnegative matrix factorization for efficient hyperspectral image projection

Hyperspectral imaging for remote sensing has prompted development of hyperspectral image projectors that can be used to characterize hyperspectral imaging cameras and techniques in the lab. One such emerging astronomical hyperspectral imaging technique is wide-field double-Fourier interferometry. NASA’s current, state-of-the-art, Wide-field Imaging Interferometry Testbed (WIIT) uses a Calibrated Hyperspectral Image Projector (CHIP) to generate test scenes and provide a more complete understanding of wide-field double-Fourier interferometry. Given enough time, the CHIP is capable of projecting scenes with astronomically realistic spatial and spectral complexity. However, this would require a very lengthy data collection process. For accurate but time-efficient projection of complicated hyperspectral images with the CHIP, the field must be decomposed both spectrally and spatially in a way that provides a favorable trade-off between accurately projecting the hyperspectral image and the time required for data collection. We apply nonnegative matrix factorization (NMF) to decompose hyperspectral astronomical datacubes into eigenspectra and eigenimages that allow time-efficient projection with the CHIP. Included is a brief analysis of NMF parameters that affect accuracy, including the number of eigenspectra and eigenimages used to approximate the hyperspectral image to be projected. For the chosen field, the normalized mean squared synthesis error is under 0.01 with just 8 eigenspectra. NMF of hyperspectral astronomical fields better utilizes the CHIP’s capabilities, providing time-efficient and accurate representations of astronomical scenes to be imaged with the WIIT.
Circulating Tumor Cells with Stem-Like Phenotypes for Diagnosis, Prognosis, and Therapeutic Response Evaluation in Hepatocellular Carcinoma

Background: In the present study, we assessed the clinical value of circulating tumor cells (CTC) with stem-like phenotypes for diagnosis, prognosis, and surveillance in hepatitis B virus (HBV)–related hepatocellular carcinoma (HCC) by an optimized qPCR-based detection platform. Methods: Differing subsets of CTCs were investigated, and a multimarker diagnostic CTC panel was constructed in a multicenter patient study with independent validation (total n = 1,006), including healthy individuals and patients with chronic hepatitis B infection (CHB), liver cirrhosis (LC), benign hepatic lesion (BHL), and HBV-related HCC, with area under the receiver operating characteristic curve (AUC-ROC) reflecting diagnostic accuracy. The role of the CTC panel in treatment response surveillance and its prognostic significance were further investigated. Results: The AUC of the CTC panel was 0.88 in the training set [sensitivity = 72.5%, specificity = 95.0%, positive predictive value (PPV) = 92.4, negative predictive value (NPV) = 77.8] and 0.93 in the validation set (sensitivity = 82.1%, specificity = 94.2%, PPV = 89.9, NPV = 89.3). This panel performed equally well in detecting early-stage and α-fetoprotein–negative HCC, as well as differentiating HCC from CHB, LC, and BHL. The CTC load was decreased significantly after tumor resection, and patients with persistently high CTC load showed a propensity of tumor recurrence after surgery. The prognostic significance of the CTC panel in predicting tumor recurrence was further confirmed [training: HR = 2.692; 95% confidence interval (CI), 1.617–4.483; P < 0.001; and validation: HR = 3.127; 95% CI, 1.360–7.190; P = 0.007]. Conclusions: Our CTC panel showed high sensitivity and specificity in HCC diagnosis and could be a real-time parameter for risk prediction and treatment monitoring, enabling early decision-making to tailor effective antitumor strategies. Clin Cancer Res; 24(9); 2203–13. ©2018 AACR.
Log-Demons with driving force for large deformation image registration

Capturing large diffeomorphic deformations is difficult for many non-rigid registration methods. In this paper, we propose Log-Demons with driving force for large deformation image registration. The driving force obtained by boundary points correspondence exerts influence on continuous optimization of Log-Demons to improve the motion direction of points. We utilize MROGH descriptor matching to obtain points correspondence as driving force, then the driving force is added to the optimization of Log-Demons. We integrate the driving force in an exponentially decreasing form with velocity field of Log-Demons to drive the points moving globally and to speed up the convergence. Experiments performed on synthetic images, real scene images and brain images demonstrate that the proposed method can not only capture large deformations but also preserve details and register images at a higher accuracy.
Pando: A Volunteer Computing Platform for the Web

Volunteer computing is currently successfully used to make hundreds of thousands of CPUs available free-of-charge to projects of general interest. However the effort and cost involved in participating in and launching such projects may explain why only a few high-profile projects use it and why only 0.1% of Internet users participate in them. We present Pando, a system designed to be easy to deploy and which does not require dedicated servers. It enables a thousand browser tabs to be used for computation. We have implemented a command-line version of Pando that makes it easy to launch volunteer computing projects on the Web as part of a Unix processing pipeline. Volunteers join by simply opening a Web page. We successfully tested the tool on the Grid5000 testbed and provide all scripts and procedures necessary to replicate our experiments.