Miracle-dz/UniFAR-FTUs huggingface dataset:
Time-Aware Service Recommendation for Mashup Creation

Web service recommendation has become a critical problem as services become increasingly prevalent on the Internet. Some existing methods focus on content matching techniques, while others are based on QoS measurement. However, service ecosystem is evolving over time with services publishing, prospering and perishing. Few existing methods consider or exploit the evolution of service ecosystem on service recommendation. This paper employs a probabilistic approach to predict the popularity of services to enhance the recommendation performance. A method is presented that extracts service evolution patterns by exploiting latent dirichlet allocation (LDA) and time series prediction. A time-aware service recommendation framework is established for mashup creation that conducts joint analysis of temporal information, content description and historical mashup-service usage in an evolving service ecosystem. Experiments on a real-world service repository, ProgrammableWeb.com, show that the proposed approach leads to a higher precision than traditional collaborative filtering and content matching methods, by taking into account temporal information.
ControllAR: Appropriation of Visual Feedback on Control Surfaces

Despite the development of touchscreens, many expert systems for working with digital multimedia content, such as in music composition and performance, video editing or visual performance, still rely on control surfaces. This can be due to the accuracy and appropriateness of their sensors, the haptic feedback that they offer, and most importantly the way they can be adapted to the specific subset of gestures and tasks that users need to perform. On the other hand, visual feedback on controllers remains limited and/or fixed, preventing similar personalizing. In this paper, we propose ControllAR, a novel system that facilitates the appropriation of rich visual feedback on control surfaces through remixing of graphical user interfaces and augmented reality display. We then use our system to study current and potential appropriation of visual feedback in the case of digital musical instruments and derive guidelines for designers and developers.
Search Techniques for Learning Probabilistic Models of Word Sense Disambiguation

The development of automatic natural language understanding systems remains an elusive goal. Given the highly ambiguous nature of the syntax and semantics of natural language, it is not possible to develop rule-based approaches to understanding even very limited domains of text. The difficulty in specifying a complete set of rules and their exceptions has led to the rise of probabilistic approaches where models of natural language are learned from large corpora of text. However, this has proven a challenge since natural language data is both sparse and skewed and the space of possible models is huge. In this paper we discuss several search techniques used in learning the structure of probabilistic models of word sense disambiguation. We present an experimental comparison of backward and forward sequential searches as well as a model averaging approach to the problem of resolving the meaning of ambiguous words in text.
Out-of-focus: Learning Depth from Image Bokeh for Robotic Perception

In this project, we propose a novel approach for estimating depth from RGB images. Traditionally, most work uses a single RGB image to estimate depth, which is inherently difficult and generally results in poor performance, even with thousands of data examples. In this work, we alternatively use multiple RGB images that were captured while changing the focus of the camera's lens. This method leverages the natural depth information correlated to the different patterns of clarity/blur in the sequence of focal images, which helps distinguish objects at different depths. Since no such data set exists for learning this mapping, we collect our own data set using customized hardware. We then use a convolutional neural network for learning the depth from the stacked focal images. Comparative studies were conducted on both a standard RGBD data set and our own data set (learning from both single and multiple images), and results verified that stacked focal images yield better depth estimation than using just single RGB image.
Intelligent delivery of interactive advertisement content

Content networking provides a potential solution for advertising applications. Bell Labs Research China (BLRC) is conducting an interactive multimedia advertising project, which aims to create an advertising system that will enhance the interactivity between customers and advertisers. Rich communication methods including Voice over Internet Protocol (VoIP), short message service (SMS), multimedia message service (MMS), and email will be introduced that will allow customers to set up interactions with advertisers with just a few easy mouse clicks. Moreover, the system provides an extensible infrastructure for dealing with a variety of advertisement media types, such as text, image, voice, flash, and video. In order to promote the delivery efficiency of multimedia advertising content, we borrow some concepts from the content delivery network (CDN). This system consists of one advertisement description server (ADS) and several advertisement media servers (AMS). The former stores the descriptive data of all advertisements and is responsible for delivering description information to user-side applications in a specific format. The latter stores the actual multimedia content of advertisements and works in a load-sharing manner to deliver the media content. The advertisement description server also plays the role of “request dispatcher” to receive advertisement requests from users and forward them to different advertisement media servers. In addition, some statistics-based strategies are deployed to make the advertisement description server more “intelligent” when delivering advertisements. Here, multiple statistical parameters including advertisement impressions, click-through rate, and fees paid by advertisers operate in tandem to determine the selection of advertisements to be delivered. This advertising solution also has been adopted to provide advertisement support for two other projects inside BLRC, MapWeb and the IP Multimedia Subsystem (IMS) personal computer (PC) client.
Insertional events as well as translocations may arise during aberrant immunoglobulin switch recombination in a patient with multiple myeloma

The majority of patients with multiple myeloma have translocations involving the immunoglobulin heavy chain switch regions on chromosome 14q32 and a promiscuous range of partner chromosomes. We describe a patient with an insertion of 132 bp of chromosome 22q12 sequence into the 5′ region flanking Sμ on chromosome 14q32. The 132 bp region from chromosome 22q12 contains the whole of exon 3 from a novel gene of unknown function in man. The significance of such insertional events remains unclear. The description of insertional events occurring as a result of abnormal switch recombination suggests that, in myeloma, dysregulation of oncogenes may occur by a mechanism other than chromosomal translocation.
A Test of Weber's Law with Dogs

ii Acknowledgements . iii Table of Contents . iv List of Tables . v List of Figures . vi List of Appendices . viii Introduction . 1 Temporal Bisection . 2 Weber’s Law . 6 Theories of Timing . 8 Timing and Dogs . 12 Method . 16 Subjects . 16 Apparatus . 16 Procedure . 16 Results . 20 Discussion . 31 Temporal Bisection . 31 Weber’s Law . 32 Theories of Timing . 35 Timing and Dogs . 37 References . 40 Appendix A . 45 Appendix B . 46 Appendix C . 47 Appendix D . 48
Playful Query Specification with DataPlay

DataPlay is a query tool that encourages a trial-and-error approach to query specification. DataPlay uses a graphical query language to make a particularly challenging query specification task - quantification - easier. It constrains the relational data model to enable the presentation of non-answers, in addition to answers, to aid query interpretation. Two novel features of DataPlay are suggesting semantic variations to a query and correcting queries by example. We introduce DataPlay as a sophisticated query specification tool and demonstrate its unique interaction models.
Functional Reorganizations of Brain Network in Prelingually Deaf Adolescents

Previous neuroimaging studies suggested structural or functional brain reorganizations occurred in prelingually deaf subjects. However, little is known about the reorganizations of brain network architectures in prelingually deaf adolescents. The present study aims to investigate alterations of whole-brain functional network using resting-state fMRI and graph theory analysis. We recruited 16 prelingually deaf adolescents (10~18 years) and 16 normal controls matched in age and gender. Brain networks were constructed from mean time courses of 90 regions. Widely distributed network was observed in deaf subjects, with increased connectivity between the limbic system and regions involved in visual and language processing, suggesting reinforcement of the processing for the visual and verbal information in deaf adolescents. Decreased connectivity was detected between the visual regions and language regions possibly due to inferior reading or speaking skills in deaf subjects. Using graph theory analysis, we demonstrated small-worldness property did not change in prelingually deaf adolescents relative to normal controls. However, compared with healthy adolescents, eight regions involved in visual, language, and auditory processing were identified as hubs only present in prelingually deaf adolescents. These findings revealed reorganization of brain functional networks occurred in prelingually deaf adolescents to adapt to deficient auditory input.
IRISA participation to BioNLP-ST13: lazy-learning and information retrieval for information extraction tasks

This paper describes the information extraction techniques developed in the framework of the participation of IRISA-TexMex to the following BioNLP-ST13 tasks: Bacterial Biotope subtasks 1 and 2, and Graph Regulation Network. The approaches developed are general-purpose ones and do not rely on specialized pre-processing, nor specialized external data, and they are expected to work independently of the domain of the texts processed. They are classically based on machine learning techniques, but we put the emphasis on the use of similarity measures inherited from the information retrieval domain (Okapi-BM25 (Robertson et al., 1998), language modeling (Hiem-stra, 1998)). Through the good results obtained for these tasks, we show that these simple settings are competitive provided that the representation and similarity chosen are well suited for the task.
Blebbistain, a Myosin II Inhibitor, as a Novel Strategy to Regulate Detrusor Contractility in a Rat Model of Partial Bladder Outlet Obstruction

Partial bladder outlet obstruction (PBOO), a common urologic pathology mostly caused by benign prostatic hyperplasia, can coexist in 40–45% of patients with overactive bladder (OAB) and is associated with detrusor overactivity (DO). PBOO that induces DO results in alteration in bladder myosin II type and isoform composition. Blebbistatin (BLEB) is a myosin II inhibitor we recently demonstrated potently relaxed normal detrusor smooth muscle (SM) and reports suggest varied BLEB efficacy for different SM myosin (SMM) isoforms and/or SMM vs nonmuscle myosin (NMM). We hypothesize BLEB inhibition of myosin II as a novel contraction protein targeted strategy to regulate DO. Using a surgically-induced male rat PBOO model, organ bath contractility, competitive and Real-Time-RT-PCR were performed. It was found that obstructed-bladder weight significantly increased 2.74-fold while in vitro contractility of detrusor to various stimuli was impaired ∼50% along with decreased shortening velocity. Obstruction also altered detrusor spontaneous activities with significantly increased amplitude but depressed frequency. PBOO switched bladder from a phasic-type to a more tonic-type SM. Expression of 5’ myosin heavy chain (MHC) alternatively spliced isoform SM-A (associated with tonic-type SM) increased 3-fold while 3’ MHC SM1 and essential light chain isoform MLC17b also exhibited increased relative expression. Total SMMHC expression was decreased by 25% while the expression of NMM IIB (SMemb) was greatly increased by 4.5-fold. BLEB was found to completely relax detrusor strips from both sham-operated and PBOO rats pre-contracted with KCl, carbachol or electrical field stimulation although sensitivity was slightly decreased (20%) only at lower doses for PBOO. Thus we provide the first thorough characterization of the response of rat bladder myosin to PBOO and demonstrate complete BLEB-induced PBOO bladder SM relaxation. Furthermore, the present study provides valuable evidence that BLEB may be a novel type of potential therapeutic agent for regulation of myogenic and nerve-evoked DO in OAB.
Heterogeneity of mesothelioma cell lines as defined by altered genomic structure and expression of the NF2 gene

Germ‐line mutations in the neurofibromatosis 2 (NF2) gene cause a susceptibility to the development of schwannoma and meningioma, 2 mostly benign tumors of neural crest origin. Bi‐allelic inactivation of this gene has been observed in sporadic schwannomas and meningiomas. The NF2 gene may also be somatically inactivated in human malignant mesotheliomas (HMMs). Surprisingly, patients with an NF2 germ‐line mutation have not been reported to be at an increased risk for this highly invasive tumor of mesodermal origin. To investigate in HMMs the silencing mechanism of the NF2 gene, we have analyzed its structure and expression in a series of 18 cell lines derived from HMMs. NF2 gene alterations were identified at a genomic level in 7 cell lines and were associated with a marked decrease in the concentration of the NF2 transcript. This decrease was also observed in 4 additional cell lines with no identified NF2 mutation. The 11 cell lines presented evidence suggesting deletion of one NF2 allele. None of these enabled the detection of normal or truncated forms of the NF2 protein by immunoprecipitation/immunoblot analyses. In the 7 remaining cell lines, NF2 mRNA and NF2 protein were easily detectable. Among the latter, 4 lines were heterozygous for several chromosome 22 microsatellite loci, suggesting the presence of 2 NF2 alleles. Taken together, our data indicate that silencing of the NF2 gene is restricted to a subset of mesothelioma cell lines. The availability of established cell lines with different characterized NF2 status provides a powerful tool to explore the mechanism by which the NF2 protein exerts its tumor suppressive activity. Int. J. Cancer 77:554–560, 1998. © 1998 Wiley‐Liss, Inc.
Retiming sequential circuits to enhance testability

This paper presents a technique to enhance the testability of sequential circuits by repositioning registers. A novel retiming for testability technique is proposed that reduces cycle lengths in the dependency graph, converts sequential redundancies into combinational redundancies, and yields retimed circuits that usually require fewer scan registers to break all cycles (except self-loops) as compared to the original circuit. The retiming technique is based on a new minimum cost flow formulation that simultaneously considers the interactions among all strongly connected components (SCCs) of the circuit to minimize the number of registers in the SCCs. Experimental results on several large sequential circuits demonstrate the effectiveness of the proposed retiming for testability technique. <<ETX>>
Optimizing throughput/power trade-offs in hardware transactional memory using DVFS and intelligent scheduling

Power has emerged as a first-order design constraint in modern processors and has energized microarchitecture researchers to produce a growing number of power optimization proposals. Almost in tandem with the move toward more energy-efficient designs, architects have been increasing the number of processing elements (PEs) on a single chip and promoting the concept of running multithreaded workloads. Nevertheless, software is still lagging behind and is often unable to exploit these additional resources -- giving rise to transactional memory. Transactional memory is a promising programming abstraction that makes it easier for programmers to exploit the resources available in many- core processor systems by removing some of the complexity associated with traditional lock-based programming. This paper proposes new techniques to merge the power and transactional memory domains. An analysis of the per-core and chip-wide power consumption of hardware transactional memory systems (HTMs) pinpoints two areas ripe for power management policies: transactional stalls and aborts. The first proposed policy uses dynamic voltage and frequency scaling (DVFS) during transactional stall periods. By frequency scaling PEs based on their transactional state, DVFS can increase the throughput and energy efficiency of HTMs. The second method uses a transaction's conflict probability to reschedule transactions and clock gate aborted PEs to reduce overall contention and power consumption within the system. The proposed techniques are evaluated using three HTM configurations and are shown to reduce the energy delay squared product (ED2P) of the STAMP and SPLASH-2 benchmarks by an average of 18% when combined. Synthetic workloads are used to explore a wider range of program behaviors and the optimizations are shown to reduce the ED2P by an average of 29%. For a comparison, this work is shown reduce the ED2P by up to 30% relative to previous proposals for energy reduction in HTMs (e.g. transaction serialization).
Procedures for three-dimensional reconstruction of spherical viruses by Fourier synthesis from electron micrographs.

An account is given of a method which has been developed for computing three-dimensional density maps from transmission electron micrographs using Fourier transforms. The reconstructions objectively combine data from several different views of one or more particles. The application to negatively stained tomato bushy stunt virus is described in detail and the resulting reconstruction presented. Projections of the reconstruction in the appropriate directions agree well with images of the virus taken from micrographs.
The Combined Use of the Thermofluor Assay and ThermoQ Analytical Software for the Determination of Protein Stability and Buffer Optimization as an Aid in Protein Crystallization

The Thermofluor assay, also referred to as a thermal shift assay or differential scanning fluorescence (DSF), is a fast and simple method that is based upon high‐throughput measurements of protein stability. The Thermofluor method can be performed on nearly all qPCR machines, meaning no special instrumentation is necessary, and can be used to validate the quality of protein preparations, screen for ligands or cofactors, and discover buffers and additives that maximize protein stability. This unit describes how to set up a Thermofluor method on several common models of qPCR instruments, how to prepare the samples for the assay, and how to run and analyze the resulting data. The unit also describes a 96‐well screen to determine optimal buffer conditions for protein stability, which may assist in protein crystallization, and details the use of custom software, developed specifically for the analysis of data from Thermofluor screens. Curr. Protoc. Mol. Biol. 94:10.28. 1‐10.28. 15. © 2011 by John Wiley & Sons, Inc.
Rigid origami vertices: conditions and forcing sets

We develop an intrinsic necessary and sufficient condition for single-vertex origami crease patterns to be able to fold rigidly. We classify such patterns in the case where the creases are pre-assigned to be mountains and valleys as well as in the unassigned case. We also illustrate the utility of this result by applying it to the new concept of minimal forcing sets for rigid origami models, which are the smallest collection of creases that, when folded, will force all the other creases to fold in a prescribed way.
Neuroimaging of Temporal Lobe Epilepsy: Lesions and Networks

Summary Recent research using multimodal neuroimaging has revealed that focal-onset epilepsies are accompanied by pathological changes in brain structure and function that extend far beyond the site of primary injury. These findings lend support to the notion that epilepsies are in fact network disorders, and that their clinical presentation, time course and treatment responsiveness might critically depend on network-wide effects. Although the network hypothesis is not new, current advances in neuroimaging technology have made it directly quantifiable – in vivo, non-invasively, with high spatiotemporal resolution and minimal inconvenience for the patient. In this article, we provide an overview of recent studies using advanced morphometric and functional magnetic resonance imaging (MRI), show how these modalities can be combined with one another and/or electroencephalographic (EEG) data and present clinical examples of how these techniques might be applied in practice. Epileptologie 2013; 30: 131 – 137
A Canadian Cohort Study of Cognitive Impairment and Related Dementias (ACCORD): Study Methods and Baseline Results

The overall objective of the Canadian Collaborative Cohort of Related Dementias (ACCORD) study is to describe the diagnostic distribution, natural history and treatment outcomes of individuals referred from the community to dementia clinics in Canada. Between 1997 and 1999, an inception cohort of 1,136 subjects entered into this longitudinal study. At the baseline assessment, 10.9% of the subjects were classified as ‘not cognitively impaired’ (NCI), 30.1% as ‘cognitively impaired not demented’ (CIND), and 59% as demented. A subclassification of CIND included amnestic 25.1%, vascular cognitive impairment 18.1%, psychiatric 17.2%, neurologic 7.3%, medical/toxic metabolic 3.5%, mixed 7.6% and not specified 19.0%. The percentage of the cohort referred with dementia increased progressively each decade, while the proportions of CIND and NCI decreased. Within the dementia group, Alzheimer’s disease accounted for 47.2% of the subjects, mixed dementias 33.7%, vascular dementia 8.7%, frontotemporal degenerations 5.4%, dementia with Lewy bodies 2.5%, and unclassifiable 1.8%. The ACCORD cohort will allow a detailed study of the longitudinal course of CIND, and the longer-term outcomes of both treated and untreated dementia subjects.