Miracle-dz/UniFAR-FTUs huggingface dataset:
Pooling Hybrid Representations for Web Structured Data Annotation

Automatically identifying data types of web structured data is a key step in the process of web data integration. Web structured data is usually associated with entities or objects in a particular domain. In this paper, we aim to map attributes of an entity in a given domain to pre-specified classes of attributes in the same domain based on their values. To perform this task, we propose a hybrid deep learning network that relies on the format of the attributes' values. It does so without any pre-processing or using pre-defined hand-crafted features. The hybrid network combines sequence-based neural networks, namely convolutional neural networks (CNN) and recurrent neural networks (RNN), to learn the sequence structure of attributes' values. The CNN captures short-distance dependencies in these sequences through a sliding window approach, and the RNN captures long-distance dependencies by storing information of previous characters. These networks create different vector representations of the input sequence which are combined using a pooling layer. This layer applies a specific operation on these vectors in order to capture their most useful patterns for the task. Finally, on top of the pooling layer, a softmax function predicts the label of a given attribute value. We evaluate our strategy in four different web domains. The results show that the pooling network outperforms previous approaches, which use some kind of input pre-processing, in all domains.
Fudan-NJUST at MediaEval 2014: Violent Scenes Detection Using Deep Neural Networks

The Violent Scenes Detection task aims at evaluating algorithms that automatically localize violent segments in both Hollywood movies and short web videos. The definition of violence is subjective: “the segments that one would not let an 8 years old child see in a movie because they contain physical violence”. This is a highly challenging problem because of the strong content variations among the positive instances. In this year’s evaluation, we adopted our recently proposed classification method to fuse multiple features using Deep Neural Networks (DNN). The method was named regularized DNN. We extracted a set of visual and audio features, which have been observed useful. We then applied the regularized DNN for feature fusion and classification. Results indicate that using multiple features is still very helpful, and more importantly, our proposed regularized DNN offers significantly better results than the popular SVM. We achieved a mean average precision of 0.63 for the main task and 0.60 for the generalization task. 1. SYSTEM DESCRIPTION Figure 1 gives an overview of our system. In this short paper, we briefly describe each of the key components. For the task definition, data and evaluation metric, interested readers may refer to [1].
A fast adaptation mechanism for TCP vertical handover

In this paper we propose a vertical handover mechanism for TCP to deal with the delay and bandwidth change during the handover. The proposed mechanism relies on the interaction between the sender and the receiver during the handover and requires no a prior information of the new path. The adaptation is triggered by a handover notification at the receiver and finishes in about two round-trip time. Furthermore, it solves the problem of packet reordering and spurious retransmission timeout as well which are also common during vertical handovers. Simulation results show that our mechanism improves TCP performance in various vertical handover scenarios.
The Intrinsic Dynamics and Unfolding Process of an Antibody Fab Fragment Revealed by Elastic Network Model

Antibodies have been increasingly used as pharmaceuticals in clinical treatment. Thermal stability and unfolding process are important properties that must be considered in antibody design. In this paper, the structure-encoded dynamical properties and the unfolding process of the Fab fragment of the phosphocholine-binding antibody McPC603 are investigated by use of the normal mode analysis of Gaussian network model (GNM). Firstly, the temperature factors for the residues of the protein were calculated with GNM and then compared with the experimental measurements. A good result was obtained, which provides the validity for the use of GNM to study the dynamical properties of the protein. Then, with this approach, the mean-square fluctuation (MSF) of the residues, as well as the MSF in the internal distance (MSFID) between all pairwise residues, was calculated to investigate the mobility and flexibility of the protein, respectively. It is found that the mobility and flexibility of the constant regions are higher than those of the variable regions, and the six complementarity-determining regions (CDRs) in the variable regions also exhibit relative large mobility and flexibility. The large amplitude motions of the CDRs are considered to be associated with the immune function of the antibody. In addition, the unfolding process of the protein was simulated by iterative use of the GNM. In our method, only the topology of protein native structure is taken into account, and the protein unfolding process is simulated through breaking the native contacts one by one according to the MSFID values between the residues. It is found that the flexible regions tend to unfold earlier. The sequence of the unfolding events obtained by our method is consistent with the hydrogen-deuterium exchange experimental results. Our studies imply that the unfolding behavior of the Fab fragment of antibody McPc603 is largely determined by the intrinsic dynamics of the protein.
Molecular diversity in Puccinia triticina isolates from Ethiopia and Germany

A total of 43 isolates of the wheat leaf rust fungus, Puccinia triticina Eriks, collected from Ethiopia and Germany were analysed for their genetic diversity using the amplified fragment length polymorphism (AFLP) technique. Out of 18 EcoRI/MseI primer combinations screened, 15 produced 219 highly polymorphic fragments. The average AFLP difference between pairs of the leaf rust isolates (26 from Ethiopia, 17 from Germany) was calculated using Dice's genetic similarity (GS) coefficient. The overall GS for the 43 isolates was 0.67 ± 0.13. The Ethiopian leaf rust isolates had lower average GS (0.63 ± 0.13) than the German ones (0.76 ± 0.10). A cluster analysis and a two-dimensional principal coordinate analysis (PCoA) grouped the 43 isolates into two significantly different (P <= 0.01) clusters. Isolates in cluster I (35 isolates) had an average GS of 0.76 ± 0.06 while the isolates in cluster II (8 isolates) had an average GS of 0.55 ± 0.12. Isolates were also grouped into three regions of collection, central Ethiopia, south and south-east Ethiopia, and Germany. The regions were significantly different at P <= 0.01 indicating regional variation in terms of molecular diversity of the leaf rust isolates studied. Each isolate, however, had a unique AFLP fingerprint. The results indicated that the leaf rust population in central Ethiopia is genetically distinct and this might be related to the predominant cultivation of durum wheat cultivars in this area.
TemProRA: Top-k temporal-probabilistic results analysis

The study of time and probability, as two combined dimensions in database systems, has focused on the correct and efficient computation of the probabilities and time intervals. However, there is a lack of analytical information that allows users to understand and tune the probability of time-varying result tuples. In this demonstration, we present TemProRA, a system that focuses on the analysis of the top-k temporal probabilistic results of a query. We propose the Temporal Probabilistic Lineage Tree (TPLT), the Temporal Probabilistic Bubble Chart (TPBC) and the Temporal Probabilistic Column Chart (TPCC): for each output tuple these three tools are created to provide the user with the most important information to systematically modify the time-varying probability of result tuples. The effectiveness and usefulness of TemProRA are demonstrated through queries performed on a dataset created based on data from Migros, the leading Swiss supermarket branch.
Appropriateness of cases presenting in the emergency department following ambulance service secondary telephone triage: a retrospective cohort study

Objective To investigate the appropriateness of cases presenting to the emergency department (ED) following ambulance-based secondary telephone triage. Design A pragmatic retrospective cohort analysis of all the planned and unplanned ED presentations within 48 hours of a secondary telephone triage. Setting The secondary telephone triage service, called the Referral Service, and the hospitals were located in metropolitan Melbourne, Australia and operated 24 hours a day, servicing 4.25 million people. The Referral Service provides an in-depth secondary triage of cases classified as low acuity when calling the Australian emergency telephone number. Population Cases triaged by the Referral Service between September 2009 and June 2012 were linked to ED and hospital admission records (N=44,523). Planned ED presentations were cases referred to the ED following the secondary triage, unplanned ED presentations were cases that presented despite being referred to alternative care pathways. Main outcome measures Appropriateness was measured using an ED suitability definition and hospital admission rates. These were compared with mean population data which consisted of all of the ED presentations for the state (termed the ‘average Victorian ED presentation’). Results Planned ED presentations were more likely to be ED suitable than unplanned ED presentations (OR 1.62; 95% CI 1.5 to 1.7; p<0.001) and the average Victorian ED presentation (OR 1.85; 95% CI 1.01 to 3.4; p=0.046). They were also more likely to be admitted to the hospital than the unplanned ED presentation (OR 1.5; 95% CI 1.4 to 1.6; p<0.001) and the average Victorian ED presentation (OR 2.3, 95% CI 2.24 to 2.33; p<0.001). Just under 15% of cases diverted away from the emergency care pathways presented in the ED (unplanned ED attendances), and 9.5% of all the alternative care pathway cases were classified as ED suitable and 6.5% were admitted to hospital. Conclusions Secondary telephone triage was able to appropriately identify many ED suitable cases, and while most cases referred to alternative care pathways did not present in the ED. Further research is required to establish that these were not inappropriately triaged away from the emergency care pathways.
The Utility of the Social Communication Questionnaire in Screening for Autism in Children Referred for Early Intervention

The Social Communication Questionnaire (SCQ) is a brief parental screening instrument used to identify children With autism spectrum disorders (ASD). Screening validity for the SCQ has been supported in children 4 years of age and older, but ongoing studies indicate that the SCQ may not be effective in identifying very young children With ASD. The purpose of the current investigation Was to determine Whether the SCQ could distinguish children With ASD from children With other developmental delays in a sample of very young children referred for early intervention. Results found that the recommended cutoff score of 15 yielded a sensitivity value of . 47 and a specificity value of . 89. Maximum sensitivity and specificity rates Were achieved When the SCQ cutoff score Was reduced to 11 (.89 and .89, respectively). Implications of the findings are discussed.
Contributions of second language proficiency and interpreting experience to cognitive control differences among young adult bilinguals

The present study investigates how two important aspects of bilingualism, second language (L2) proficiency and language interpreting experience, contribute to cognitive control differences among young adult bilinguals. By requiring participants to complete the Flanker task (testing inhibition in cognitive control) and the Wisconsin Card Sorting Test (WCST; testing mental set shifting in cognitive control), we compared four groups of Chinese–English bilinguals who varied in L2 proficiency and interpreting experience. The results showed that there was no significant group difference across all groups in the Flanker task. However, in the WCST, although there was no group difference between bilinguals differing in L2 proficiency, there was a significant difference between groups differing in interpreting experience, including groups differing in years of interpreting training. The results indicate that language interpreting experience, as part of bilinguals' language use ecology, significantly contributes to mental set shifting enhancement in cognitive control among young adult bilinguals. The findings motivate further research into the processing mechanism involved in language interpreting.
TEORIA DA AUTODETERMINAÇÃO: COMPREENSÃO DOS FATORES MOTIVACIONAIS E AUTOESTIMA DE IDOSOS PRATICANTES DE EXERCÍCIOS FÍSICOS

O estudo teve o objetivo de explorar a associacao dos fatores motivacionais para a pratica de exercicios fisicos com a autoestima de idosos. Participaram do estudo 111 idosos (21 homens e 90 mulheres, com idade media de 67,04+6,78 anos) praticantes de exercicios fisicos no programa Floripa Ativa - Fase B. Para a coleta dos dados, foi utilizada a ficha de identificacao dos idosos, a Escala de Avaliacao da Autoestima de Rosenberg (1965) adaptada para idosos; o Inventario de Motivacao para a Pratica Regular de Atividades Fisicas e a bateria de aptidao funcional da American Alliance for Health, Physical Education, Recreation and Dance. Os dados foram analisados por meio de estatistica descritiva e inferencial. O nivel de significância adotado foi de 5%. Identificou-se que os idosos tem autoestima elevada e sentem-se motivados pela pratica de exercicios fisicos, especialmente nas dimensoes da saude e sociabilidade. Aqueles idosos que nao relataram doencas e os praticantes de exercicios fisicos ha mais de um ano, apresentaram escores de autoestima superiores. A correlacao entre a autoestima e os escores dos fatores motivacionais nao foram estatisticamente significantes. Todavia, os fatores de motivacao com regulacoes mais intrinsecas apresentaram correlacoes (nao significantes) positivas com a autoestima, enquanto que os fatores com regulacoes mais extrinsecas apresentaram correlacoes negativas com a autoestima (nao significantes).
A comparative study of noise estimation algorithms for VTS-based robust speech recognition

We conduct a comparative study to investigate two noise estimation approaches for robust speech recognition using vector Taylor series (VTS) developed in the past few years. The first approach, iterative root finding (IRF), directly differentiates the EM auxiliary function and approximates the root of the derivative function through recursive refinements. The second approach, twofold expectation maximization (TEM), estimates noise distributions by regarding them as hidden variables in a modified EM fashion. Mathematical derivations reveal the substantial connection between the two approaches. Two experiments are performed in evaluating the performance and convergence rate of the algorithms. The first is to fit a GMM model to artificially corrupted samples that are generated through Monte Carlo simulation. The second is to perform speech recognition on the Aurora 2 database. Index Terms: Robust speech recognition, vector Taylor series, noise estimation
Minimax Lower Bounds for Realizable Transductive Classification

Transductive learning considers a training set of $m$ labeled samples and a test set of $u$ unlabeled samples, with the goal of best labeling that particular test set. Conversely, inductive learning considers a training set of $m$ labeled samples drawn iid from $P(X,Y)$, with the goal of best labeling any future samples drawn iid from $P(X)$. This comparison suggests that transduction is a much easier type of inference than induction, but is this really the case? This paper provides a negative answer to this question, by proving the first known minimax lower bounds for transductive, realizable, binary classification. Our lower bounds show that $m$ should be at least $\Omega(d/\epsilon + \log(1/\delta)/\epsilon)$ when $\epsilon$-learning a concept class $\mathcal{H}$ of finite VC-dimension $d<\infty$ with confidence $1-\delta$, for all $m \leq u$. This result draws three important conclusions. First, general transduction is as hard as general induction, since both problems have $\Omega(d/m)$ minimax values. Second, the use of unlabeled data does not help general transduction, since supervised learning algorithms such as ERM and (Hanneke, 2015) match our transductive lower bounds while ignoring the unlabeled test set. Third, our transductive lower bounds imply lower bounds for semi-supervised learning, which add to the important discussion about the role of unlabeled data in machine learning.
Minimally buffered single-cycle deflection router

With the drift from computation centric designs to communication centric designs in the Chip Multi Processor (CMP) era, the interconnect fabric is gaining more importance. An efficient NoC in terms of power, area and average flit latency has a huge impact on the overall performance of a CMP. In the current work, we propose MinBSD - a minimally buffered, single cycle, deflection router. It incorporates different operations (Injection, Ejection, Preemption, Re-injection) in a single module to handle the traffic effectively and ensures smooth flow of flits through router pipeline. It performs overlapped execution of independent operations. These factors not only make MinBSD to operate in a single cycle but also to reduce the critical path latency resulting in a faster interconnect network. Experimental results show that MinBSD reduces the average flit latency on real work loads, reduces die area and power consumption when compared to the existing state-of-the-art minimally buffered deflection routers.
Protein Kinase C-Mediated Phosphorylation of the μ-Opioid Receptor and Its Effects on Receptor Signaling

Phosphorylation of the μ opioid receptor (MOPr), mediated by several protein kinases, is a critical process in the regulation of MOPr signaling. Although G protein-coupled receptor kinases are known to play an essential role in the agonist-induced phosphorylation and desensitization of MOPr, evidence suggests that other protein kinases, especially protein kinase C (PKC), also participate in the regulation of MOPr signaling. In this study, we investigated the biochemical nature and downstream effects of PKC-mediated MOPr phosphorylation. We observed in vitro phosphorylation of the MOPr C terminus by purified PKC. Protein mass spectrometry and site-directed mutagenesis implicated Ser363 of MOPr as the primary substrate for PKC, and this was confirmed in Chinese hamster ovary cells stably expressing full-length MOPr using an antibody that specifically recognizes phosphorylated Ser363. Alanine mutation of Ser363 did not affect the affinity of MOPr-ligand binding and the efficiency of receptor G-protein coupling. However, the S363A mutation attenuated the desensitization of receptor G-protein coupling induced by phorbol 12-myristate. Our research thus has identified a specific PKC phosphorylation site in MOPr and demonstrated that PKC-mediated phosphorylation of MOPr induces receptor desensitization at the G protein coupling level.
Accuracy of three different fecal calprotectin tests in the diagnosis of inflammatory bowel disease

Background/Aims Several studies have found that the measurement of fecal calprotectin is useful for the early diagnosis of inflammatory bowel disease (IBD). We compared the effectiveness of three different fecal calprotectin kits for initial diagnosis in patients with suspected IBD. Methods We enrolled 31 patients with IBD (18 Crohn's disease [CD], 11 ulcerative colitis [UC], and two intestinal Behçet's disease), five with irritable bowel syndrome (IBS), and five with other colitis (four infectious colitis and one intestinal tuberculosis). Diagnosis was based on clinical, laboratory, and endoscopic examinations. Fecal samples were obtained at the first diagnosis and calprotectin levels were measured using three different kits (Quantum Blue® Calprotectin, EliA™ Calprotectin, and RIDASCREEN® Calprotectin). Results The overall accuracy for differentiating IBD from IBS or other colitis was 94% and 91%, respectively, for Quantum Blue® (cutoff, 50 µg/g); 92% and 89%, respectively, for EliA™ (cutoff, 50 µg/g); and 82% and 76%, respectively, for RIDASCREEN® (cutoff, 50 µg/g). In patients with CD, the results of Quantum Blue® Calprotectin and EliA™ Calprotectin correlated significantly with levels of the Crohn's disease activity index (Spearman's rank correlation coefficient, r=0.66 and r=0.49, respectively). In patients with UC, the results of EliA™ Calprotectin correlated significantly with the Mayo score (r=0.70). Conclusions Fecal calprotectin measurement is useful for the identification of IBD. The overall accuracies of the three fecal calprotectin kits are comparable.
Identification of Pro-Inflammatory Cytokines Associated with Muscle Invasive Bladder Cancer; The Roles of IL-5, IL-20, and IL-28A

We used gene expression profiling to identify inflammatory cytokines that correlate with bladder cancer development. Gene expression profiles of the tissue samples were investigated using cDNA microarrays that contained 103 non-muscle invasive bladder cancers (NMIBC), 62 muscle invasive bladder cancers (MIBC), 58 samples of histologically normal-looking surrounding tissues, and 10 normal, healthy subjects who served as the control cohort for comparison. We grouped the data-sets according to biological characterizations and focused on immune response genes with at least 2-fold differential expression in MIBC vs. controls. The experimental data-set identified 36 immune-related genes that were significantly altered in MIBC samples. In addition, 10 genes were up-regulated and 26 genes were down-regulated in MIBC samples compared with the normal tissues. Among the 10 up-regulated molecules examined, the capacity for both wound-healing migration and invasion was enhanced in response to IL-5, IL-20, and IL-28A in bladder cancer cell lines (253J and EJ cells), compared with untreated cells. The expression levels of IL-5, IL-20, and IL-28A were increased in patients with MIBC. All 3 cytokines and their receptors were produced in bladder cancer cell lines, as determined by real-time PCR, immunoblot analysis and confocal immunofluorescence. Up-regulation of MMP-2 and MMP-9 was found after IL-5, IL-20, and IL-28A stimulation in both cell types. Moreover, an EMSA assay showed that treatment with IL-5, IL-20, and IL-28A induced activation of the transcription factors NF-κB and AP-1 that regulate the MMP-9 promoter. Finally, activation of MAPK and Jak-Stat signaling was observed after the addition of IL-5, IL-20, and IL-28A to bladder cancer cells. This study suggests the presence of specific inflammatory cytokine (IL-5, IL-20, and IL-28A)-mediated association in bladder cancer development. All 3 cytokines may be important new molecular targets for the modulation of migration and invasion in bladder cancer.