Miracle-dz/UniFAR-FTUs huggingface dataset:
Generation of interactive multi-level video summaries

In this paper, we describe how a detail-on-demand representation for interactive video is used in video summarization. Our approach automatically generates a hypervideo composed of multiple video summary levels and navigational links between these summaries and the original video. Viewers may interactively select the amount of detail they see, access more detailed summaries, and navigate to the source video through the summary. We created a representation for interactive video that supports a wide range of interactive video applications and Hyper-Hitchcock, an editor and player for this type of interactive video. Hyper-Hitchcock employs methods to determine (1) the number and length of levels in the hypervideo summary, (2) the video clips for each level in the hypervideo, (3) the grouping of clips into composites, and (4) the links between elements in the summary. These decisions are based on an inferred quality of video segments and temporal relations those segments.
Visualizing Uncertainty for Improved Decision Making

Decision making often depends on the analysis and evaluation of large amounts of data for which information visualization proved to be a valuable approach. The recognition of uncertainty in the data is crucial and it should therefore be appropriately represented. However, suitable methods for its visualization are in many cases not available. This paper provides a general view on uncertainty with respect to a widely accepted information model. Out of this view it explains why the recognition of uncertainty plays an important role for decisions, and it depicts available but especially missing visualization concepts today, e.g. for the display of uncertain relationships. To fill that gap new ideas are derived for an improved visual decision support.
Autologous peripheral blood stem cell transplantation and adoptive immunotherapy with activated natural killer cells in the immediate posttransplant period.

Relapse after high-dose chemotherapy supported by peripheral blood stem cell transplantation (HDC-PBSCT) is the main cause of therapeutic failure in patients with lymphoma and breast cancer. Adoptive immunotherapy with activated natural killer (A-NK) cells and interleukin 2 might eliminate surviving residual tumor without adding to toxicity. Eleven patients with relapsed lymphoma and one with metastatic breast cancer were entered on a pilot clinical trial of HDC-PBSCT followed on day 2 after transplant by infusion of cultured autologous A-NK cells. Simultaneously, recombinant human interleukin 2 (rhIL-2) was initiated as a 4-day continuous i.v. infusion at 2 x 10(6) IU/m2/day, referred to as high-dose rhIL-2. Therapy with high-dose rhIL-2 was followed by a 90-day continuous i. v. infusion at 3 x 10(5) IU/m2/day, referred to as low-dose rhIL-2. All patients engrafted and nine completed treatment. Posttransplant days to a neutrophil count of 500/microliter and to a platelet count of 50,000/microliter were similar to comparable patients treated with HDC-PBSCT alone. Generation of A-NK cells for therapy was feasible in all patients except the three patients with Hodgkin's disease, whose cells did not proliferate in culture. Overall toxicity associated with early posttransplant transfer of A-NK cells and interleukin 2 did not differ from that observed with peripheral blood stem cell transplantation alone in comparable patients. There was early amplification of natural killer cell activity in the peripheral blood of four patients that appeared to result from the transfused A-NK cells. Adoptive transfer of A-NK cells and rhIL-2 during the pancytopenic phase after HDC-PBSCT was feasible and well tolerated, did not adversely affect engraftment, and resulted in amplified natural killer activity in the peripheral blood during the immediate posttransplantation period.
0 20 80 24 v 1 1 6 A ug 2 00 2 The Irreducible Unitary Representations of the Extended Poincaré Group in ( 1 + 1 ) Dimensions

We prove that the extended Poincaré group in (1+1) dimensions ¯ P is solv-able exponential so that it belongs to type I. Its first and second cohomology groups are calculated in order to work out a classification of the relativis-tic elementary systems and all the irreducible unitary representations of ¯ P are constructed by the orbit method. We show that the relativistic particle is anomalous but its quantization can be performed.
Dynamic Renormalization Group Approach to Self-Organized Critical Phenomena

Two different models exhibiting self-organized criticality are analysed by means of the dynamic renormalization group. Although the two models differ by their behaviour under a parity transformation of the order parameter, it is shown that they both belong to the same universality class, in agreement with computer simulations. The asymptotic values of the critical exponents are estimated up to one-loop order from a systematic expansion of a non-linear equation in the number of coupling constants.
THERMAL RESPONSE OF A SOLAR-LIKE ATMOSPHERE TO AN ELECTRON BEAM FROM A HOT JUPITER: A NUMERICAL EXPERIMENT

We investigate the thermal response of the atmosphere of a solar-type star to an electron beam injected from a hot Jupiter by performing a one-dimensional MHD numerical experiment with nonlinear wave dissipation, radiative cooling, and thermal conduction. In our experiment, the stellar atmosphere is non-rotating and is modeled as a one-dimensional open flux tube expanding super-radially from the stellar photosphere to the planet. An electron beam is assumed to be generated from the reconnection site of the planet's magnetosphere. The effects of the electron beam are then implemented in our simulation as dissipation of the beam momentum and energy at the base of the corona where the Coulomb collisions become effective. When the sufficient energy is supplied by the electron beam, a warm region forms in the chromosphere. This warm region greatly enhances the radiative fluxes corresponding to the temperature of the chromosphere and transition region. The warm region can also intermittently contribute to the radiative flux associated with the coronal temperature due to the thermal instability. However, owing to the small area of the heating spot, the total luminosity of the beam-induced chromospheric radiation is several orders of magnitude smaller than the observed Ca ii emissions from HD 179949.
A Serious Videogame as an Additional Therapy Tool for Training Emotional Regulation and Impulsivity Control in Severe Gambling Disorder

Background: Gambling disorder (GD) is characterized by a significant lack of self-control and is associated with impulsivity-related personality traits. It is also linked to deficits in emotional regulation and frequently co-occurs with anxiety and depression symptoms. There is also evidence that emotional dysregulation may play a mediatory role between GD and psychopathological symptomatology. Few studies have reported the outcomes of psychological interventions that specifically address these underlying processes. Objectives: To assess the utility of the Playmancer platform, a serious video game, as an additional therapy tool in a CBT intervention for GD, and to estimate pre-post changes in measures of impulsivity, anger expression and psychopathological symptomatology. Method: The sample comprised a single group of 16 male treatment-seeking individuals with severe GD diagnosis. Therapy intervention consisted of 16 group weekly CBT sessions and, concurrently, 10 additional weekly sessions of a serious video game. Pre-post treatment scores on South Oaks Gambling Screen (SOGS), Barratt Impulsiveness Scale (BIS-11), I7 Impulsiveness Questionnaire (I7), State-Trait Anger Expression Inventory 2 (STAXI-2), Symptom Checklist-Revised (SCL-90-R), State-Trait Anxiety Inventory (STAI-S-T), and Novelty Seeking from the Temperament and Character Inventory-Revised (TCI-R) were compared. Results: After the intervention, significant changes were observed in several measures of impulsivity, anger expression and other psychopathological symptoms. Dropout and relapse rates during treatment were similar to those described in the literature for CBT. Conclusion: Complementing CBT interventions for GD with a specific therapy approach like a serious video game might be helpful in addressing certain underlying factors which are usually difficult to change, including impulsivity and anger expression.
Image Decomposition Using Bregman-GTV and Meyer's G-Norm

In order to avoid staircasing and preserve small scale texture information for the classical total variation regularization, a new minimization energy functional model for image decomposition is proposed. We firstly introduce a generalized total variational regularization. The oscillatory component containing texture and/or noise is modeled in generalized function space. And then, the proposed model is numerically implemented by using a preconditioned Split Bregman method. Experiments show that the proposed model can avoid efficiently the staircasing effect , at the same time, both well remain edge and texture. Keywords-image decomposition; regularization; generalized total variation; G-norm
Coupling between neurons of the developing rat neocortex

We have estimated the prevalence of coupling between neurons of the rat neocortex during postnatal development. Single intracellular injections of the fluorescent dye Lucifer Yellow CH resulted in dye coupling among 70% of neurons from 1 to 4 days of age. Dye coupling dropped to 30 to 40% by 10 to 18 days and occurred in 20% of injected adult neurons. The number of neurons per dye-coupled aggregate also decreased. Whereas three to seven coupled neurons were common in cortex of 1 to 4 days, aggregates of more than two neurons were exceptionally rare in adults. The frequency of dye coupling did not vary systematically with cortical depth at any age. When chemical synaptic activity was blocked, most 4- day neurons exhibited short latency antidromically evoked depolarizations which were relatively insensitive to repetitive activation and membrane polarization. These depolarizations may represent electrotonically conducted spikes from coupled neurons. No such potentials were found in adult neurons. The results suggest that neuronal coupling is extensive in immature rat neocortex, but that coupling declines at a time just before the numbers of chemical synapses increase most rapidly.
Title Evaluation of Surrogate Endpoints in Clinical Trials

May 15, 2015 Type Package Title Evaluation of Surrogate Endpoints in Clinical Trials Version 0.1-6 Date 2015-05-14 Author Wim Van der Elst, Ariel Alonso & Geert Molenberghs Maintainer Wim Van der Elst <Wim.vanderelst@gmail.com> Description In a clinical trial, it frequently occurs that the most credible outcome to evaluate the effectiveness of a new therapy (the true endpoint) is difficult to measure. In such a situation, it can be an effective strategy to replace the true endpoint by a biomarker that is easier to measure and that allows for a prediction of the treatment effect on the true endpoint (a surrogate endpoint). The package 'Surrogate' allows for an evaluation of the appropriateness of a candidate surrogate endpoint based on the meta-analytic, informationtheoretic, and causal-inference frameworks. Part of this software has been developed using funding provided from the European Union's 7th Framework Programme for research, technological development and demonstration under Grant Agreement no 602552. Depends MASS, nlme, msm, lme4 Imports rgl, lattice, latticeExtra License GPL (>= 2) BugReports Wim Van der Elst <Wim.vanderelst@gmail.com> Repository CRAN NeedsCompilation no Date/Publication 2015-05-15 00:12:46
GENETIC PROGRAMMING FOR ECONOMIC MODELING

The problem of finding an econometric model expressing the mathematical relationship between empirically observed econometric variables can be viewed as a search of the space of possible computer programs for a program that produces the desired output for given inputs. This computer program can be found via the recently developed genetic programming paradigm which breeds populations of computer programs in a Darwinian competition using genetic operations such as fitness proportionate reproduction and crossover (sexual recombination). In this paper, we rediscover the well-known non-linear "exchange equation" P= MV Q relating the money supply, price level, gross national product,
Toxin-Induced Experimental Models of Learning and Memory Impairment

Animal models for learning and memory have significantly contributed to novel strategies for drug development and hence are an imperative part in the assessment of therapeutics. Learning and memory involve different stages including acquisition, consolidation, and retrieval and each stage can be characterized using specific toxin. Recent studies have postulated the molecular basis of these processes and have also demonstrated many signaling molecules that are involved in several stages of memory. Most insights into learning and memory impairment and to develop a novel compound stems from the investigations performed in experimental models, especially those produced by neurotoxins models. Several toxins have been utilized based on their mechanism of action for learning and memory impairment such as scopolamine, streptozotocin, quinolinic acid, and domoic acid. Further, some toxins like 6-hydroxy dopamine (6-OHDA), 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) and amyloid-β are known to cause specific learning and memory impairment which imitate the disease pathology of Parkinson’s disease dementia and Alzheimer’s disease dementia. Apart from these toxins, several other toxins come under a miscellaneous category like an environmental pollutant, snake venoms, botulinum, and lipopolysaccharide. This review will focus on the various classes of neurotoxin models for learning and memory impairment with their specific mechanism of action that could assist the process of drug discovery and development for dementia and cognitive disorders.
Umatilla Virus Genome Sequencing and Phylogenetic Analysis: Identification of Stretch Lagoon Orbivirus as a New Member of the Umatilla virus Species

The genus Orbivirus, family Reoviridae, includes 22 species of viruses with genomes composed of ten segments of linear dsRNA that are transmitted between their vertebrate hosts by insects or ticks, or with no identified vectors. Full-genome sequence data are available for representative isolates of the insect borne mammalian orbiviruses (including bluetongue virus), as well as a tick borne avian orbivirus (Great Island virus). However, no sequence data are as yet available for the mosquito borne avian orbiviruses. We report full-length, whole-genome sequence data for Umatilla virus (UMAV), a mosquito borne avian orbivirus from the USA, which belongs to the species Umatilla virus. Comparisons of conserved genome segments 1, 2 and 8 (Seg-1, Seg-2 and Seg-8) - encoding the polymerase-VP1, sub-core ‘T2’ protein and core-surface ‘T13’ protein, respectively, show that UMAV groups with the mosquito transmitted mammalian orbiviruses. The highest levels of sequence identity were detected between UMAV and Stretch Lagoon orbivirus (SLOV) from Australia, showing that they belong to the same virus species (with nt/aa identity of 76.04%/88.07% and 77.96%/95.36% in the polymerase and T2 genes and protein, respectively). The data presented here has assisted in identifying the SLOV as a member of the Umatilla serogroup. This sequence data reported here will also facilitate identification of new isolates, and epidemiological studies of viruses belonging to the species Umatilla virus.
In search of Britain’s Muslim ghettoes

The local media have recently carried a number of stories suggesting that Muslim ghettoes are developing in British cities – a claim also made about European cities more generally. Analysis of data from the 2001 and 2011 Censuses of England and Wales suggests that these representations are journalistic hyperbole: most British Muslims live in small city blocks where they form only a minority of the local population.
Cost-Effective Virtual Machine Image Replication Management for Cloud Data Centers

Cloud computing offers infrastructure as a service to deliver large amount of computation and storage resources, in which fast provisioning of virtual machine(VM) instances has significant impacts on the overall system performance and elasticity. In this paper, we analyze the characteristics of image provisioning by studying the traces collected from the real-world cloud data centre. From the analysis results, we observe that the overloaded and dynamic requests for some popular images result in degradation and fluctuation of performance and availability of the system. Addressing this issue, we propose a stochastic model based on queueing theory, which captures the main factors in image provisioning to optimize the number and placement of image replication, so as to manage the VM images in a cost-effective manner. We implement our theoretical model based on open-source cloud platform and carry out trace driven evaluation to validate its effectiveness. The evaluation results show that our system is cost-effective and can achieve high and stable performance in VM provisioning while remaining high availability under different test scenarios.
Visualizing Temporal Changes in Impressions from Tweets

Twitter is effective for connecting with celebrities, on-screen talent, and strangers, as well as with friends and acquaintances, and is a social networking service utilized by several generations. On Twitter, many users will offer constructive suggestions, while a small number of users will sometimes enact mental abuse. Some users may post lively tweets, while other users may express anger in their tweets. By carefully reading a larger number of an individual user's tweets, it is possible to judge the impressions from tweets received from an individual user's typical posts. Therefore, this paper proposes a web application system for visualizing Twitter users based on temporal changes in the impressions from the tweets posted by users on Twitter. When system users input the account name of a Twitter user and a period for analysis, the proposed system collects the user's tweets posted during the period, quantifies the impressions from each tweet, and generates pic and line charts illustrating the impression values of the tweets and their temporal changes.
An efficient algorithm for weak hierarchical lasso

Linear regression is a widely used tool in data mining and machine learning. In many applications, fitting a regression model with only linear effects may not be sufficient for predictive or explanatory purposes. One strategy which has recently received increasing attention in statistics is to include feature interactions to capture the nonlinearity in the regression model. Such model has been applied successfully in many biomedical applications. One major challenge in the use of such model is that the data dimensionality is significantly higher than the original data, resulting in the small sample size large dimension problem. Recently, weak hierarchical Lasso, a sparse interaction regression model, is proposed that produces sparse and hierarchical structured estimator by exploiting the Lasso penalty and a set of hierarchical constraints. However, the hierarchical constraints make it a non-convex problem and the existing method finds the solution of its convex relaxation, which needs additional conditions to guarantee the hierarchical structure. In this paper, we propose to directly solve the non-convex weak hierarchical Lasso by making use of the GIST (General Iterative Shrinkage and Thresholding) optimization framework which has been shown to be efficient for solving non-convex sparse formulations. The key step in GIST is to compute a sequence of proximal operators. One of our key technical contributions is to show that the proximal operator associated with the non-convex weak hierarchical Lasso admits a closed form solution. However, a naive approach for solving each subproblem of the proximal operator leads to a quadratic time complexity, which is not desirable for large size problems. To this end, we further develop an efficient algorithm for computing the subproblems with a linearithmic time complexity. We have conducted extensive experiments on both synthetic and real data sets. Results show that our proposed algorithm is much more efficient and effective than its convex relaxation.
Worsened postural deformity in multiple-system atrophy patients with excessive dopaminergic treatment

Postural deformities like dropped head, camptocormia, and Pisa syndrome are seen in both Parkinson’s disease and multiple-system atrophy (MSA). However, these features are relatively more common in MSA. These deformities may worsen during treatment and cause the patient distress. We report here two MSA patients. The first patient was a 53-year-old woman with severe bradykinesia, rigidity, and orthostatic hypotension developed dropped head after increasing her levodopa dose from 400 to 600 mg/day. This symptom improved when we reduced the levodopa dose back to 400 mg/day. The second was a 59-year-old woman with severe bradykinesia, rigidity, and urinary incontinence who showed putaminal atrophy on magnetic resonance imaging. After Pisa syndrome was observed at her last follow-up visit, we decreased the pramipexole dose from 4.5 to 3 mg, and she improved. In conclusion, postural deformities in MSA patients may worsen with higher doses of dopaminergic treatment, and decreasing the dose may be the treatment of choice in these patients.
The influence of language proficiency on language-based processing skills: evidence from Korean–English bilingual children

This preliminary study examined the influence of language proficiency on language-based processing tasks with bilingual children whose dominant language was their second language (L2). Nineteen Korean–English bilingual children were assessed on the Nonword Repetition Task (NRT) and the Korean Nonword Repetition Task (KNRT) an adapted form of the Competing Language Processing Task (CLPT-E) and a parallel form of this task in Korean (CLPT-K). The results were examined relative to scores from vocabulary and morphosyntax tests in both languages. Results show that NRT and KNRT scores were related across languages, but not to the vocabulary or mophosyntactic measures in either English or Korean. In contrast, the CLPT-E and the CLPT-K were not related across languages. Scores from CLPT-E were not related to vocabulary or morphosyntactic measures in English. However, scores from the CLPT-K were related to scores on the Korean vocabulary test. The CLPT-K Word Recall subtest scores were related to the KNRT. These results suggest that nonword repetition reflects a more general or cross-linguistic processing capacity and is less dependent upon language knowledge than the CLPTs. Finally, the results indicate that the use of only one language-based processing task in a single language does not adequately describe language-based processing for bilingual children.
Data Assimilation and Prediction at the Convective Scale : Recent Progresses

In this paper, we briefly present some recent results of initialization and prediction of convectivescale weather systems using a high-resolution numerical model and its data assimilation systems. For cases with pre-existing storms, the WSR-88D radar data are assimilated, at 5 to 15 minute intervals, over a typically one-hour assimilation window, using three-dimensional variational (3DVAR) method plus a cloud analysis scheme (Hu 2005; Hu and Xue 2006; Hu et al. 2006a; Hu et al. 2006b), or the ensemble Kalman filter (EnKF) method (Tong and Xue 2005; Xue et al. 2006). Predictions of individual thunderstorms for up to three hours are performed and directly compared to radar measurements. Also discussed are a study on the detailed processes responsible for the initiation of convection along a dryline (Xue and Martin 2006a, b) and new conceptual model for the processes.