Miracle-dz/UniFAR-FTUs huggingface dataset:
Video fingerprinting for copy identification: from research to industry applications

Research that began a decade ago in video copy detection has developed into a technology known as "video fingerprinting". Today, video fingerprinting is an essential and enabling tool adopted by the industry for video content identification and management in online video distribution. This paper provides a comprehensive review of video fingerprinting technology and its applications in identifying, tracking, and managing copyrighted content on the Internet. The review includes a survey on video fingerprinting algorithms and some fundamental design considerations, such as robustness, discriminability, and compactness. It also discusses fingerprint matching algorithms, including complexity analysis, and approximation and optimization for fast fingerprint matching. On the application side, it provides an overview of a number of industry-driven applications that rely on video fingerprinting. Examples are given based on real-world systems and workflows to demonstrate applications in detecting and managing copyrighted content, and in monitoring and tracking video distribution on the Internet.
First-Principles Molecular Dynamics Calculations of the Equation of State for Tantalum

The equation of state of tantalum (Ta) has been investigated to 100 GPa and 3,000 K using the first-principles molecular dynamics method. A large volume dependence of the thermal pressure of Ta was revealed from the analysis of our data. A significant temperature dependence of the calculated effective Grüneisen parameters was confirmed at high pressures. This indicates that the conventional approach to analyze thermal properties using the Mie-Grüneisen approximation is likely to have a significant uncertainty in determining the equation of state for Ta, and that an intrinsic anharmonicity should be considered to analyze the equation of state.
Analysis and design of a dimmable electronic ballast controlled by a switch-controlled capacitor

This paper presents the related principle and analysis of the dimmable electronic ballast controlled by the switch-controlled capacitor (SCC). A Fourier-series expansion is used to derive the operational principle of the zero-voltage-switching Class-D series-parallel-load-resonant dimmable electronic ballast regulated by the SCC. By the adaptation of the SCC, the lightness of the system can be adjusted, while the operation frequency of the Class-D converter can be kept constant. The dimmable effect controlled by the variable SCC is examined. The analytical results are verified by simulations and experiments. Furthermore, the design considerations for the dimmable electronic ballast with SCC control are also presented in this paper.
Cognitive change in Parkinson's disease

In 1817, James Parkinson published his essay on the shaking palsy; a disease now well-known as Parkinson’s disease. In his essay, Parkinson described the characteristic motor features of PD. Nowadays however, it is recognized that PD is more than a pure motor disease, is also accompanied by cognitive impairment. Despite an increase of prognostic longitudinal studies that focus on the course of cognitive change in PD in the past decennia, much remains unclear about the pattern and profile of cognitive decline. In this thesis, we describe the course of cognitive change in a large sample of newly-diagnosed PD patients over the course of 5 years using a large neuropsychological test battery and with the inclusion of a control group. We show that memory impairment at time of diagnosis may be indicative of more rapid cognitive decline. Furthermore, cognitive impairment is an important predictor of functional decline. Although impairments are seen in multiple cognitive domains, we show that executive impairment lies at the core of the impairment. Additionally, we show that individual differences in motor symptom severity and cognitive dysfunction interact with response inhibition, and that extensive neuropsychological profiling may contribute to explaining, at least some, of the individual variation in reward-based learning in PD. Overall, our findings provide evidence that although dopamine depletion is characteristic of PD, the consequences of the disease are far more complicated and diverse. There is a need for more prospective studies that include a large neuropsychological test battery.
Risk/reward in virtual financial communities

Virtual communities in finance range from informal networks of people helping each other, e.g., Motley Fool chat rooms, through to sophisticated services such as Paypal or credit derivative exchanges. The key issue in finance (as in many other web areas) is "trust". Trust goes beyond security or payment into areas such as confidence, probabilistic forecasts or guarantees. Real financial communities are exploring a wide variety of technologies as community interaction moves online.
Multitask learning for EEG-based biometrics

Biometrics based on electroencephalogram (EEG) signals is an emerging research topic. Several recent results have shown its feasibility and potential for personal identification. However, they all use a single task (e.g., signals recorded during imagination of repetitive left hand movements or during resting with eyes open) for classifier design and subsequent identification. In contrast with this, in this paper multiple related tasks are used simultaneously for classifier learning. This mechanism has the advantage of integrating information from extra tasks and thus hopefully can guide classifier learning in a hypothesis space more effectively. Experimental results on EEG-based personal identification show the effectiveness of the proposed multitask learning approach.
Gaussian Process Regression for Generalized Frequency Response Function Estimation

Kernel-based modeling of dynamic systems has garnered a significant amount of attention in the system identification literature since its introduction to the field. While the method was originally applied to linear impulse response estimation in the time domain, the concepts have since been extended to the frequency domain for estimation of frequency response functions (FRFs), as well as to the estimation of the Volterra series in time domain. In the latter case, smoothness and exponential decay was imposed along the hypersurfaces of the multidimensional impulse responses, allowing lower variance estimates than could be obtained in a simple least squares framework. The Volterra series can also be expressed in a frequency domain context, however there are several competing representations which all possess some unique advantages. Perhaps the most natural representation is the generalized frequency response function (GFRF), which is defined as the multidimensional Fourier transform of the corresponding Volterra kernel in the time-domain series. The representation leads to a series of frequency domain functions with increasing dimension.
The Charles Perkins Centre's Twins Research Node

Twins can help researchers disentangle the roles of genes from those of the environment on human traits, health, and diseases. To realize this potential, the Australian Twin Registry (ATR), University of Melbourne, and the Charles Perkins Centre (CPC), University of Sydney, established a collaboration to form the Twins Research Node, a highly interconnected research facility dedicated specifically to research involving twins. This collaboration aims to foster the adoption of twin designs as important tools for research in a range of health-related domains. The CPC hosted their Twins Research Node's launch seminar entitled ‘Double the power of your research with twin studies’, in which experienced twin researchers described how twin studies are supporting scientific discoveries and careers. The launch also featured twin pairs who have actively participated in research through the ATR. Researchers at the CPC were surveyed before the event to gauge their level of understanding and interest in utilizing twin research. This article describes the new Twins Research Node, discusses the survey's main results and reports on the launch seminar.
La perspectiva de género en los sistemas de evaluación de la producción científica

A society with gender stereotypes produces a science impregnated with gender bias. This determines both the scientific contents and the selection of people taking part in the generation of scientific knowledge. In all western countries, the percentage of women in high positions in the science and technology system is extraordinarily low. In this article, case analysis are presented showing that the evaluation of scientific activity, which is a mandatory step in the selection and financing of researchers, may be directly or indirectly affected of gender bias. Even evaluation criteria which appear to be neutral with respect to gender may have an unwanted gender impact. It seems very necessary to establish transparent systems of evaluation of scientific production and to analyse the evaluation criteria and their results under a gender perspective in order to uncover possible gender biases that might be supporting the glass ceiling in the academic career of women scientists.
Learning Sure-Fire Rules for Named Entity Recognition

This paper describes a procedure for obtaining and generalising, automatically, patterns that can be used as sure-fire rules, i.e. rules that have a very high precision (albeit, possibly, low recall) for Named Entity Recognition. The experiments performed on the CoNLL-2003 training and test corpora show that, for people and locations, the patterns obtained attain very high precisions just by themselves. The precisions obtained for organisations and miscellaneous entities are somewhat lower, a fact which indicates that they should not be used without the aid of auxiliary gazetteers listing common entities belonging to those two classes.
On the Chern-Gauss-Bonnet Theorem and Conformally Twisted Spectral Triples for C*-Dynamical Systems

The analog of the Chern-Gauss-Bonnet theorem is studied for a C^∗-dynamical system consisting of a C^∗-algebra A equipped with an ergodic action of a compact Lie group G. The structure of the Lie algebra g of G is used to interpret the Chevalley-Eilenberg complex with coefficients in the smooth subalgebra A ⊂ A as noncommutative differential forms on the dynamical system. We conformally perturb the standard metric, which is associated with the unique G-invariant state on A, by means of a Weyl conformal factor given by a positive invertible element of the algebra, and consider the Hermitian structure that it induces on the complex. A Hodge decomposition theorem is proved, which allows us to relate the Euler characteristic of the complex to the index properties of a Hodge-de Rham operator for the perturbed metric. This operator, which is shown to be selfadjoint, is a key ingredient in our construction of a spectral triple on A and a twisted spectral triple on its opposite algebra. The conformal invariance of the Euler characteristic is interpreted as an indication of the Chern-Gauss-Bonnet theorem in this setting. The spectral triples encoding the conformally perturbed metrics are shown to enjoy the same spectral summability properties as the unperturbed case.
Localization of l‐afadin at puncta adhaerentia‐like junctions between the mossy fiber terminals and the dendritic trunks of pyramidal cells in the adult mouse hippocampus

We have recently found a novel cell–cell adhesion system at cadherin‐based adherens junctions. This system consists of at least two components: nectin, an immunoglobulin‐like cell adhesion molecule with Ca2+‐independent homophilic binding activity, and l‐afadin, an actin filament‐binding protein that connects nectin to the actin cytoskeleton. In the present study, we investigated immunocytochemically the localization of l‐afadin in the mouse hippocampus. At the light microscopic level, l‐afadin immunoreactivity was demonstrated as flattened disks in the stratum lucidum of the CA3 area. By immunoelectron microscopy, signals for l‐afadin were highly concentrated in a symmetrical manner at the puncta adhaerentia‐like junctions between the mossy fiber terminals and the dendritic trunks of pyramidal cells. We furthermore immunostained the hippocampus with antibodies recognizing both l‐afadin and s‐afadin, a small splicing variant of l‐afadin that is identical to AF‐6. Immunoreactivity for l‐ and s‐afadins was demonstrated not only as the flattened disks similar to that for l‐afadin, but also as numerous fine dots widely distributed in all synaptic layers of the CA1 and CA3 areas. The latter finding may correspond with the recent report by Buchert et al. ( 1999 , J. Cell. Biol. 144:361–371), who found that s‐afadin (AF‐6) and/or l‐afadin was localized at the postsynaptic membranes of asymmetric synaptic junctions. Our present results indicate that l‐ and s‐afadins are differentially distributed in the hippocampus and suggest that l‐afadin localized at the puncta adhaerentia‐like junctions in the mossy fiber terminals may regulate the structural and functional organization of these complex synaptic structures. J. Comp. Neurol. 424:297–306, 2000. © 2000 Wiley‐Liss, Inc.
Bacteria dispersal by hitchhiking on zooplankton

Microorganisms and zooplankton are both important components of aquatic food webs. Although both inhabit the same environment, they are often regarded as separate functional units that are indirectly connected through nutrient cycling and trophic cascade. However, research on pathogenic and nonpathogenic bacteria has shown that direct association with zooplankton has significant influences on the bacteria's physiology and ecology. We used stratified migration columns to study vertical dispersal of hitchhiking bacteria through migrating zooplankton across a density gradient that was otherwise impenetrable for bacteria in both upward and downward directions (conveyor-belt hypothesis). The strength of our experiments is to permit quantitative estimation of transport and release of associated bacteria: vertical migration of Daphnia magna yielded an average dispersal rate of 1.3 × 105·cells·Daphnia−1·migration cycle−1 for the lake bacterium Brevundimonas sp. Bidirectional vertical dispersal by migrating D. magna was also shown for two other bacterial species, albeit at lower rates. The prediction that diurnally migrating zooplankton acquire different attached bacterial communities from hypolimnion and epilimnion between day and night was subsequently confirmed in our field study. In mesotrophic Lake Nehmitz, D. hyalina showed pronounced diel vertical migration along with significant diurnal changes in attached bacterial community composition. These results confirm that hitchhiking on migrating animals can be an important mechanism for rapidly relocating microorganisms, including pathogens, allowing them to access otherwise inaccessible resources.
Towards conversational interfaces to web applications

Today’s conversational interfaces are largely based on the paradigm of information retrieval from databases. In this position paper, we propose a radically different approach: building CIs on top of existing web applications. Such a system will draw together research in task modeling, web usage mining, information extraction, as well as the vast amount of existing research on traditional CIs.
Controlling Legionella in Hospital Drinking Water: An Evidence-Based Review of Disinfection Methods

Hospital-acquired Legionnaires' disease is directly linked to the presence of Legionella in hospital drinking water. Disinfecting the drinking water system is an effective preventive measure. The efficacy of any disinfection measures should be validated in a stepwise fashion from laboratory assessment to a controlled multiple-hospital evaluation over a prolonged period of time. In this review, we evaluate systemic disinfection methods (copper-silver ionization, chlorine dioxide, monochloramine, ultraviolet light, and hyperchlorination), a focal disinfection method (point-of-use filtration), and short-term disinfection methods in outbreak situations (superheat-and-flush with or without hyperchlorination). The infection control practitioner should take the lead in selection of the disinfection system and the vendor. Formal appraisals by other hospitals with experience of the system under consideration is indicated. Routine performance of surveillance cultures of drinking water to detect Legionella and monitoring of disinfectant concentrations are necessary to ensure long-term efficacy.
Decentralized control in alignment motion of mobile robots network

In this paper we develop a decentralized control law for alignment motion of mobile robots network (MRN) based on consensus algorithm. The model of differential-driven MRN is presented including individual and group kinematics, information flow structure and group behavior. The feedback linear consensus algorithm on weighted digraph is discussed and then applied to the design of the decentralized control law while motion limits are considered. The local controller on a robot regulates its own orientation by using states of its neighbors specified in the information flow structure, and then the grouppsilas coordinated alignment behavior emerges. Finally, experimental simulation shows the effectiveness of control law and effects of information flow structure on the group behavior.
A Multi-Classifier Based Guideline Sentence Classification System

Objectives An efficient clinical process guideline (CPG) modeling service was designed that uses an enhanced intelligent search protocol. The need for a search system arises from the requirement for CPG models to be able to adapt to dynamic patient contexts, allowing them to be updated based on new evidence that arises from medical guidelines and papers. Methods A sentence category classifier combined with the AdaBoost.M1 algorithm was used to evaluate the contribution of the CPG to the quality of the search mechanism. Three annotators each tagged 340 sentences hand-chosen from the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC7) clinical guideline. The three annotators then carried out cross-validations of the tagged corpus. A transformation function is also used that extracts a predefined set of structural feature vectors determined by analyzing the sentential instance in terms of the underlying syntactic structures and phrase-level co-occurrences that lie beneath the surface of the lexical generation event. Results The additional sub-filtering using a combination of multi-classifiers was found to be more effective than a single conventional Term Frequency-Inverse Document Frequency (TF-IDF)-based search system in pinpointing the page containing or adjacent to the guideline information. Conclusions We found that transformation has the advantage of exploiting the structural and underlying features which go unseen by the bag-of-words (BOW) model. We also realized that integrating a sentential classifier with a TF-IDF-based search engine enhances the search process by maximizing the probability of the automatically presented relevant information required in the context generated by the guideline authoring environment.
Device-to-Device Communication with Dirty Paper Coded Simultaneous Transmission

Device-to-Device (D2D) communication allows direct communication of a device to another device without traversing a base station. The overlay D2D operation lets D2D users and cellular users use orthogonal radio resources. There is no interference between D2D and cellular links, but the efficiency of frequency reuse is low. The underlay D2D operation, on the other hand, allows D2D and cellular users to occupy the same radio resources. It has better frequency reuse, but the price paid is complicated interference management which usually requires centralized coordination and a significant amount of channel and traffic information exchange. In this paper, a scheme that allows a user to simultaneously transmit cellular and D2D signals is proposed to improve the D2D transmission rate in an overlay system. The proposed scheme has the advantage of frequency reuse, similar to underlay D2D, but does not need centralized interference management. The system design aspects pertaining to the proposed scheme, such as rate maximization, power allocation and scheduling are investigated. System simulations show that the proposed scheme significantly improves the D2D rate with only a slight impact on the cellular rate.
QUASIMODO1 Encodes a Putative Membrane-Bound Glycosyltransferase Required for Normal Pectin Synthesis and Cell Adhesion in Arabidopsis Article, publication date, and citation information can be found at www.plantcell.org/cgi/doi/10.1105/tpc.004259.

Pectins are a highly complex family of cell wall polysaccharides. As a result of a lack of specific mutants, it has been difficult to study the biosynthesis of pectins and their role in vivo. We have isolated two allelic mutants, named quasimodo1 (qua1-1 and qua1-2), that are dwarfed and show reduced cell adhesion. Mutant cell walls showed a 25% reduction in galacturonic acid levels compared with the wild type, indicating reduced pectin content, whereas neutral sugars remained unchanged. Immersion immunofluorescence with the JIM5 and JIM7 monoclonal antibodies that recognize homogalacturonan epitopes revealed less labeling of mutant roots compared with the wild type. Both mutants carry a T-DNA insertion in a gene (QUA1) that encodes a putative membrane-bound glycosyltransferase of family 8. We present evidence for the possible involvement of a glycosyltransferase of this family in the synthesis of pectic polysaccharides, suggesting that other members of this large multigene family in Arabidopsis also may be important for pectin biosynthesis. The mutant phenotype is consistent with a central role for pectins in cell adhesion.
Islet-Like Clusters Derived from Mesenchymal Stem Cells in Wharton's Jelly of the Human Umbilical Cord for Transplantation to Control Type 1 Diabetes

Background There is a widespread interest in developing renewable sources of islet-replacement tissue for type I diabetes mellitus. Human mesenchymal cells isolated from the Wharton's jelly of the umbilical cord (HUMSCs), which can be easily obtained and processed compared with embryonic and bone marrow stem cells, possess stem cell properties. HUMSCs may be a valuable source for the generation of islets. Methodology and Principal Findings HUMSCs were induced to transform into islet-like cell clusters in vitro through stepwise culturing in neuron-conditioned medium. To assess the functional stability of the islet-like cell clusters in vivo, these cell clusters were transplanted into the liver of streptozotocin-induced diabetic rats via laparotomy. Glucose tolerance was measured on week 12 after transplantation accompanied with immunohistochemistry and electron microscopy analysis. These islet-like cell clusters were shown to contain human C-peptide and release human insulin in response to physiological glucose levels. Real-time RT-PCR detected the expressions of insulin and other pancreatic β-cell-related genes (Pdx1, Hlxb9, Nkx2.2, Nkx6.1, and Glut-2) in these islet-like cell clusters. The hyperglycemia and glucose intolerance in streptozotocin-induced diabetic rats was significantly alleviated after xenotransplantation of islet-like cell clusters, without the use of immunosuppressants. In addition to the existence of islet-like cell clusters in the liver, some special fused liver cells were also found, which characterized by human insulin and nuclei-positive staining and possessing secretory granules. Conclusions and Significance In this study, we successfully differentiate HUMSCs into mature islet-like cell clusters, and these islet-like cell clusters possess insulin-producing ability in vitro and in vivo. HUMSCs in Wharton's Jelly of the umbilical cord seem to be the preferential source of stem cells to convert into insulin-producing cells, because of the large potential donor pool, its rapid availability, no risk of discomfort for the donor, and low risk of rejection.