Miracle-dz/UniFAR-FTUs huggingface dataset:
Micro-blog category based on feature-words category dispersion

The micro-blog information classification is an important pretreatment in micro-blog data processing work. Due to the unique properties of the micro-blog text, there are some limitations when use traditional classification to deal with it. Consider to a single microblog text brief which contains less effective feature-words, and the content compare spoken of the features, this paper proposed to use similar words and collocations to extend the text feature-words, reducing the possibility of feature loss. For the feature of information selection and weight calculation, proposed one kind text classification methods which based on the feature-words category dispersion and dispersion degree. The experiments show that the propose classification method achieves good effects in the classification of micro-blog text, and has better applicability in microblog text classification scene.
D4.1b MT systems for the second development cycle

Executive Summary This deliverable D4.1b describes work done in the area of machine translation development and deployment (work package 4) during the period of the second milestone of the project (from month 7 to month 24). As part of this second development cycle, we have built a new generic MT system by building upon the system we prepared for milestone 1; we have then broadened our scope by (i) building a MT system for a specific domain (tourism) and (ii) experimenting with the application of linguistic knowledge, through a process called morph segmentation, to avoid the data sparsity caused by unknown word forms which can however be morphologically broken into known tokens; we have developed a comprehensive architecture to provide these machine translation systems through a web interface. The deliverable also briefly reports on other related activities in this work package, namely (i) our participation in the WMT14 translation contest and (ii) experiments with a procedure to clean noisy parallel corpora.
Field experiments on the effects of reserve prices in auctions: More magic on the internet

I present experimental evidence on the effects of minimum bids in first-price, sealed-bid auctions. The auction experiments manipulated the minimum bids in a preexisting market on the Internet for collectible trading cards from the game Magic: the Gathering. I examine a number of outcomes, including the number of participating bidders, the probability of sale, the levels of individual bids, and the auctioneer's revenues. The benchmark theoretical model is one with symmetric, risk-neutral bidders with independent private values. The results verify a number of the predictions concerning equilibrium bidding. Many bidders behave strategically, anticipating the effects of the reserve price on others' bids.
Group Recommendations: Survey and Perspectives

The popularity of group recommender systems has increased in the last years. More and more social activity is generated by users over the Web and thus not only domains as TV, music or holidays are used and researched anymore for group recommendation, but also collaborative learning support, digital libraries and other domains seems to be promising for group recommendation. Moreover, principles of group recommenders can be used in order to overcome some single user recommendation shortcomings, such as cold start problem. Numerous group recommenders have been proposed, they differ in application domains which are specific in group characteristics. Today's group recommenders do not include and use the power of social aspects (group structure, social status etc.), which can be extracted and derived from the group. We provide a survey of group recommendation principles for the Web domain and discuss trends and perspectives in this field.
Collecting Statistics about the Portuguese Web

This report presents a characterization of text documents from the Portuguese Web. This characterization was produced from a crawl of over 4 million URLs and 131 thousand sites in 2003. We describe rules that we established for defining its boundaries and the methodology used to gather statistics. We also show how crawling constraints and abnormal situations on the Web can influence the results.
Overview of the NTCIR-10 MedNLP Task

Recently, medical records are increasingly written on electronic media instead of on paper, thereby increasing the importance of information processing in medical fields. We have organized an NTCIR-10 pilot task for medical records. Our pilot task, MedNLP, comprises three tasks: (1) de-identification, (2) complaint and diagnosis, and (3) free. These tasks represent elemental technologies used to develop computational systems supporting widely diverse medical services. Development has yielded 22 systems for task (1), 15 systems for task (2), and 1 system for task (3). This report presents results of these systems, with discussion clarifying the issues to be resolved in medical NLP fields.
Is There a Human Homologue to the Murine Proteolysis-Inducing Factor?

Purpose: A tumor-derived proteolysis-inducing factor (PIF) is suggested to be a potent catabolic factor in skeletal muscle of mice and humans. We aimed to establish the clinical significance of PIF in cancer patients and to elucidate its structural features. Experimental Design: PIF was detected in human urine using a monoclonal antibody (mAb) and related to clinical outcomes. PIF immunoaffinity-purified using the mAb was purified/separated using reverse-phase high-performance liquid chromatography and two-dimensional electrophoresis. Ten human cancer cell lines were tested for expression of mRNA encoding PIF core peptide. Results: PIF immunoreactivity was present in 160 of 262 patients with advanced cancers of the lung, esophagus/stomach, and other organs. In a Kaplan-Meier survival analysis of 181 lung cancer patients, PIF was unrelated to survival; PIF status was also unrelated to skeletal muscle loss confirmed by computed tomography imaging. PIF was seen in 16 of 24 patients with chronic heart failure and thus is not exclusive to malignant disease. In-gel digestion and mass spectrometric analysis of immunoaffinity purified PIF from cancer patients consistently identified human albumin and immunoglobulins. We showed nonspecific binding of purified albumin and immunoglobulins to the anti-PIF mAb, which is thus not a useful tool for PIF detection or purification in humans. Finally, the human PIF core peptide was detected in human cancer cell lines using reverse transcription-PCR and nucleotide sequencing; however, none of the amplified products had a site for the glycosylation critical to the proteolysis-inducing activity of murine PIF. Conclusions: A putative human homologue of murine PIF and its role in human cancer cachexia cannot be verified.
ECPP: Efficient Conditional Privacy Preservation Protocol for Secure Vehicular Communications

In this paper, we introduce an efficient conditional privacy preservation (ECPP) protocol in vehicular ad hoc networks (VANETs) to address the issue on anonymous authentication for safety messages with authority traceability. The proposed protocol is characterized by the generation of on-the-fly short-time anonymous keys between on-board units (OBUs) and roadside units (RSUs), which can provide fast anonymous authentication and privacy tracking while minimizing the required storage for short-time anonymous keys. We demonstrate the merits gained by the proposed protocol through extensive analysis.
Direct drawing on 3D shapes with automated camera control

We present ACCD, an interaction technique that allows direct drawing of long curves on 3D shapes with a tablet display over both multiple depth layers and multiple viewpoints. ACCD reduces the number of explicit viewpoint manipulations by combining self-occlusion management and automated camera control. As such it enables drawing on occluded faces but also around a 3D shape while keeping a constant drawing precision. Our experimental results indicates the efficacy of ACCD over conventional techniques.
Evaluation of SMN Protein, Transcript, and Copy Number in the Biomarkers for Spinal Muscular Atrophy (BforSMA) Clinical Study

Background The universal presence of a gene (SMN2) nearly identical to the mutated SMN1 gene responsible for Spinal Muscular Atrophy (SMA) has proved an enticing incentive to therapeutics development. Early disappointments from putative SMN-enhancing agent clinical trials have increased interest in improving the assessment of SMN expression in blood as an early “biomarker” of treatment effect. Methods A cross-sectional, single visit, multi-center design assessed SMN transcript and protein in 108 SMA and 22 age and gender-matched healthy control subjects, while motor function was assessed by the Modified Hammersmith Functional Motor Scale (MHFMS). Enrollment selectively targeted a broad range of SMA subjects that would permit maximum power to distinguish the relative influence of SMN2 copy number, SMA type, present motor function, and age. Results SMN2 copy number and levels of full-length SMN2 transcripts correlated with SMA type, and like SMN protein levels, were lower in SMA subjects compared to controls. No measure of SMN expression correlated strongly with MHFMS. A key finding is that SMN2 copy number, levels of transcript and protein showed no correlation with each other. Conclusion This is a prospective study that uses the most advanced techniques of SMN transcript and protein measurement in a large selectively-recruited cohort of individuals with SMA. There is a relationship between measures of SMN expression in blood and SMA type, but not a strong correlation to motor function as measured by the MHFMS. Low SMN transcript and protein levels in the SMA subjects relative to controls suggest that these measures of SMN in accessible tissues may be amenable to an “early look” for target engagement in clinical trials of putative SMN-enhancing agents. Full length SMN transcript abundance may provide insight into the molecular mechanism of phenotypic variation as a function of SMN2 copy number. Trial Registry Clinicaltrials.gov NCT00756821
Heterogeneous Effects of Calorie Restriction on In Vivo Glucose Uptake and Insulin Signaling of Individual Rat Skeletal Muscles

Calorie restriction (CR) (consuming ∼60% of ad libitum, AL, intake) improves whole body insulin sensitivity and enhances insulin-stimulated glucose uptake by isolated skeletal muscles. However, little is known about CR-effects on in vivo glucose uptake and insulin signaling in muscle. Accordingly, 9-month-old male AL and CR (initiated when 3-months-old) Fischer 344xBrown Norway rats were studied using a euglycemic-hyperinsulinemic clamp with plasma insulin elevated to a similar level (∼140 µU/ml) in each diet group. Glucose uptake (assessed by infusion of [14C]-2-deoxyglucose, 2-DG), phosphorylation of key insulin signaling proteins (insulin receptor, Akt and Akt substrate of 160kDa, AS160), abundance of GLUT4 and hexokinase proteins, and muscle fiber type composition (myosin heavy chain, MHC, isoform percentages) were determined in four predominantly fast-twitch (epitrochlearis, gastrocnemius, tibialis anterior, plantaris) and two predominantly slow-twitch (soleus, adductor longus) muscles. CR did not result in greater GLUT4 or hexokinase abundance in any of the muscles, and there were no significant diet-related effects on percentages of MHC isoforms. Glucose infusion was greater for CR versus AL rats (P<0.05) concomitant with significantly (P<0.05) elevated 2-DG uptake in 3 of the 4 fast-twitch muscles (epitrochlearis, gastrocnemius, tibialis anterior), without a significant diet-effect on 2-DG uptake by the plantaris or either slow-twitch muscle. Each of the muscles with a CR-related increase in 2-DG uptake was also characterized by significant (P<0.05) increases in phosphorylation of both Akt and AS160. Among the 3 muscles without a CR-related increase in glucose uptake, only the soleus had significant (P<0.05) CR-related increases in Akt and AS160 phosphorylation. The current data revealed that CR leads to greater whole body glucose disposal in part attributable to elevated in vivo insulin-stimulated glucose uptake by fast-twitch muscles. The results also demonstrated that CR does not uniformly enhance either insulin signaling or insulin-stimulated glucose uptake in all muscles in vivo.
Multi-dimensional transfer function design based on flexible dimension projection embedded in parallel coordinates

In this paper, we present an effective transfer function (TF) design for multivariate volume, providing tightly coupled views of parallel coordinates plot (PCP), MDS-based dimension projection plots, and volume rendered image space. In our design, the PCP showing the data distribution of each variate dimension and the MDS showing reduced dimensional features are integrated seamlessly to provide flexible feature classification for the user without context switching between different data presentations. Our proposed interface enables users to identify interested clusters and assign optical properties with lassos, magic wand and other tools. Furthermore, sketching directly on the volume rendered images has been implemented to probe and edit features. To achieve interactivity, octree partitioning with Gaussian Mixture Model (GMM), and other data reduction techniques are applied. Our experiments show that the proposed method is effective for multidimensional TF design and data exploration.
Named-Entity Recognition in Novel Domains with External Lexical Knowledge

We investigate the adaptation of structured classiﬁers to new domains. In particular, the problem of using a supervised Named-Entity Recognition (NER) system on data from a different source than the training data. We present a Semi-Markov Model, trained with the perceptron algorithm, coupled with an external dictionary with the goal of improving generalization on the novel domain. Preliminary experiments show promising results, obtained with very simple additional features
Dense femur reconstruction from two x-ray images using generic 3D model with twist correction

Femur 3D reconstruction from x-ray images enables cost-effective and precise diagnosis of disease and surgery guidance. However, reconstructing accurate 3D model from sparse x-ray images are not a trivial task. In this paper, we propose a femur 3D reconstruction method from two x-ray images. We incorporate prior knowledge on the femur deformation such as twist distortion to improve reconstruction accuracy. We deform our generic 3D model optimizing global registration and twist correction parameters simultaneously. And then, non-rigid deformation is performed constructing dense 3d femur model of a patient. We have tested our method on real x-ray images and synthesized 3d femur models for quantitative and qualitative evaluations.
Dendritic cells as adjuvants for class I major histocompatibility complex-restricted antitumor immunity

From the *Laboratory of Cellular Physiology and Immunology, The Rockefeller University, New York 10021; the *Allogeneic Bone Marrow Transplantation and 5Clinical Immunology Services, Division of HematOlogic Oncology, Department of Medicine, Memorial Sloan-Kettering Cancer Center, Cornell University Medical College, NewYork 10021; and the IIDepartment of Zoology, Faculty of Science, Kyoto University, Kyoto 606,Japan
Automating XML mark-up using a two stagemachine learning technique

We introduce a novel two-stage automatic XML mark-up system, which combines the WEBSOM approach to document categorisation in conjunction with the C5 inductive learning algorithm. The WEBSOM method clusters the XML marked-up documents such that semantically similar documents lie close together on a Self-Organising Map (SOM). The C5 algorithm automatically learns and applies mark-up rules derived from the nearest SOM neighbours of an unmarked document. The system learns from mark-up errors to improve accuracy. The automatically marked-up documents produced by the system are also categorized on the Self-Organizing Map, to further refine SOM's document coverage.
Large Currency Depreciations and Menu Costs ( Go to latest version )

This paper studies the role of nominal price rigidities in accounting for low CPI inflation after large currency depreciations. Using a small open economy model with menu-cost nominal frictions calibrated to micro data from Mexico’s Consumer Price Index, I find that in episodes of large depreciations, the effects of nominal rigidities in retail prices are quantitatively small and short-lived. The incomplete exchange rate pass-through to consumer prices is largely a result of a fall in real wages caused by negative real shocks and nominal stickiness in wages. JEL Classification: E31, F31, F41
Effects of Computer–Based Instructional Designs among Pupils of Different Music Intelligence Levels

— The purpose of this study was to investigate the effects of computer–based instructional designs, namely modality and redundancy principles on the attitude and learning of music theory among primary pupils of different Music Intelligence levels. The lesson of music theory was developed in three different modes, audio and image (AI), text with image (TI) and audio with image and text (AIT). The independent variables were the three modes of courseware. The moderator variable was music intelligence. The dependent variables were the post test score. ANOVA was used to determine the significant differences of the pretest scores among the three groups. Analyses of covariance (ANCOVA) and Post hoc were carried out to examine the main effects as well as the interaction effects of the independent variables on the dependent variables. High music intelligence pupils performed significantly better than low music intelligence pupils in all the three treatment modes. The AI mode was found to help pupils with low music intelligence significantly more than the TI and AIT modes.
A neuro fuzzy controller for planar robot manipulators

A neuro fuzzy control algorithm for planar robotic manipulators is developed in this paper. This control algorithm is able to handle uncertainties, disturbances or unmodeled dynamics. Asymptotic stability of the equilibrium state of the control system is shown by use of direct Lyapunov method and Barbalat’s Lemma. A series of simulations confirms the algorithm goodness. Key-Words: fuzzy controller, neuro fuzzy, Lyapunov stability, tracking control, robot manipulators
Peer-review in practice: eight years of Aropä

Abstract Articles discussing and analysing student peer-review activities proliferate the educational literature, typically describing one or more class exercises where students provide feedback on each other’s work. These papers usually focus on a peer-review activity designed as a scholarly study, and make conclusions about its success or otherwise. There is not one standard model for ‘peer-review’, and information on the many different assessment designs used is distributed over an increasing number of publications and websites. This paper provides a meta-review of peer-review activities as they are implemented in practice, using configuration data from over a thousand assignments conducted using an online peer-review system during an eight-year period. We present data on the wide variety of assignment designs and the parameters that comprise them, their rubrics, and comparisons between subject areas. Information on the norms and range of all decisions to be made will encourage instructors (both new to and experienced in conducting peer-review activities) to reflect on and justify the choices they make.
E-business and labour productivity in manufacturing and services

Growing case evidence suggests that integration of business processes through computer networks, with organisational and human capital investments, promotes gains in labour productivity (Brynolffson and Yang, 1999). The concept of a firm with integrated systems linking production, distribution, procurement and sales functions making operations more efficient is supported by international case studies. Automatic processing and sharing of such information may help improve labour productivity if the technology is applied appropriately
Understanding Long-Term Variations in an Elephant Piosphere Effect to Manage Impacts

Surface water availability is a key driver of elephant impacts on biological diversity. Thus, understanding the spatio-temporal variations of these impacts in relation to water is critical to their management. However, elephant piosphere effects (i.e. the radial pattern of attenuating impact) are poorly described, with few long-term quantitative studies. Our understanding is further confounded by the complexity of systems with elephant (i.e. fenced, multiple water points, seasonal water availability, varying population densities) that likely limit the use of conceptual models to predict these impacts. Using 31 years of data on shrub structure in the succulent thickets of the Addo Elephant National Park, South Africa, we tested elephant effects at a single water point. Shrub structure showed a clear sigmoid response with distance from water, declining at both the upper and lower limits of sampling. Adjacent to water, this decline caused a roughly 300-m radial expansion of the grass-dominated habitats that replace shrub communities. Despite the clear relationship between shrub structure and ecological functioning in thicket, the extent of elephant effects varied between these features with distance from water. Moreover, these patterns co-varied with other confounding variables (e.g. the location of neighboring water points), which limits our ability to predict such effects in the absence of long-term data. We predict that elephant have the ability to cause severe transformation in succulent thicket habitats with abundant water supply and elevated elephant numbers. However, these piosphere effects are complex, suggesting that a more integrated understanding of elephant impacts on ecological heterogeneity may be required before water availability is used as a tool to manage impacts. We caution against the establishment of water points in novel succulent thicket habitats, and advocate a significant reduction in water provisioning at our study site, albeit with greater impacts at each water point.
Iterative Local Solutions for Connected Dominating Set in Ad Hoc Wireless Networks

In this paper, we propose a general framework of the iterative local solution (ILS) for computing a connected dominating set (CDS) in ad hoc wireless networks, which include mobile ad hoc networks (MANETS) and wireless sensor networks (WSNs). This approach uses an iterative application of a selected local solution. Each application of the local solution enhances the result obtained from the previous iteration, but each is based on a different node priority scheme. Then, we integrate this iterative process into the process for handling a dynamic network topology and propose two extensions: cyclic iterative local solution (CILS) and seamless iterative local solution (SILS). CILS offers a natural extension of ILS to the dynamic environment but suffers from a broken CDS and nonadaptiveness. With a novel use of a monotonically increasing sequence number for dynamic node priority, SILS offers an extension with the desirable properties of correctness, progressiveness, locality, and seamlessness. Extensive simulations are conducted under ns-2 and a custom simulator to evaluate the effectiveness of the proposed approach in both static and dynamic environments.