Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving Japanese Zero Pronoun Resolution by Global Word Sense Disambiguation

This paper proposes unsupervised word sense disambiguation based on automatically constructed case frames and its incorporation into our zero pronoun resolution system. The word sense disambiguation is applied to verbs and nouns. We consider that case frames define verb senses and semantic features in a thesaurus define noun senses, respectively, and perform sense disambiguation by selecting them based on case analysis. In addition, according to the one sense per discourse heuristic, the word sense disambiguation results are cached and applied globally to the subsequent words. We integrated this global word sense disambiguation into our zero pronoun resolution system, and conducted experiments of zero pronoun resolution on two different domain corpora. Both of the experimental results indicated the effectiveness of our approach.
KnCe2013-CORE:Semantic Text Similarity by use of Knowledge Bases

In this paper we describe KnCe2013-CORE, a system to compute the semantic similarity of two short text snippets. The system computes a number of features which are gathered from different knowledge bases, namely WordNet, Wikipedia and Wiktionary. The similarity scores derived from these features are then fed into several multilayer perceptron neuronal networks. Depending on the size of the text snippets different parameters for the neural networks are used. The final output of the neural networks is compared to human judged data. In the evaluation our system performed sufficiently well for text snippets of equal length, but the performance dropped considerably once the pairs of text snippets differ in size.
Applying Data Fragmentation in IEEE 802.15.4: Modeling and Analysis under Unsaturated Traffic

The IEEE 802.15. 4 standard, which is developed for low rate applications, offers low latency and energy consumption for wireless sensor networks. The use of the standardized slotted Carrier Sense Multiple Access (CSMA/CA), as a channel access mechanism, can, however, lead to a wastage of the bandwidth utilization and an additional transmission delay. This drawback is mainly caused by deferred transmission in the CSMA/CA algorithm at the end of the superframe, when there is not sufficient time to complete the frame transmission. We propose in this paper to fragment a data frame into a short frame and attempt its transmission in the current frame and transmit the remaining frame in the next superframe. The data fragmentation mechanism is modeled using a Markov chains. A non-saturated traffic and acknowledgement transmission are considered in our analysis. The analytical results of the normalized throughput demonstrate the improvement of the bandwidth occupation when using the proposed data fragmentation mechanism in the IEEE 802.15. 4 slotted CSMA/CA protocol.
Validation of the Italian version of the WHO-Well-Being Questionnaire (WHO-WBQ) and the WHO-Diabetes Treatment Satisfaction Questionnaire (WHO-DTSQ).

AIM To validate the Italian version of the World Health Organization (WHO)-Well-Being Questionnaire (WBQ) and the WHO-Diabetes Treatment Satisfaction Questionnaire (DTSQ) in Type 1 and Type 2 diabetic patients. METHODS The cultural adaptation of the questionnaires was performed by using standard forward/backward techniques. Internal consistency reliability was estimated by Cronbach's alpha coefficient. Construct validity was evaluated using the Short Form-36 (SF-36) Health Status Questionnaire. Finally, the discriminative properties of the questionnaires were evaluated relative to the patients' characteristics. The questionnaires were administered to a random sample of patients identified in twelve outpatient diabetes clinics. RESULTS Overall, 412 subjects were recruited, of whom 96 (23%) with Type 1 diabetes. Item-scale correlations were >0.40 for all the items. Cronbach's alpha coefficient was 0.86 for the WHO-DTSQ and ranged between 0.79 and 0.91 for the WHO-WBQ. High correlations were found between WHO-WBQ scales and the mental dimensions of the Short Form-36 (SF-36) questionnaire, but not between WHO-DTSQ and SF-36 scores. Women, obese subjects, those with longer diabetes duration and multiple complications showed a worse quality of life in all of the four areas of the WHO-WBQ. In Type 2 diabetic subjects, SF-36 scores, but not WHO-WBQ scores, were able to discriminate the population according to the treatment modalities. Lower levels of treatment satisfaction were related to female gender, longer diabetes duration, insulin treatment, presence of diabetes complications and HbA1c levels >7.0%. The flexibility of the treatement was perceived as a major problem even among patients treated with oral agents. CONCLUSIONS The WHO-DTSQ can be considered as a valuable instrument to be used internationally for the description of diabetes treatment satisfaction. The WHO-WBQ also shows adequate psychometric properties, but additional data are needed to clarify whether it is more sensitive than SF-36, the most widely used generic instrument.
Normobaric Hypoxia and Nitroglycerin as Trigger Factors for Migraine

Migraine prevalence is increased in high-altitude populations and symptoms of acute mountain sickness mimic migraine symptoms. Here we tested whether normobaric hypoxia may trigger migraine attacks. As positive control we used nitrolgycerin (NTG), which has been shown to induce migraine attacks in up to 80± of migraineurs. Sixteen patients (12 females, mean age 28.9 ± 7.2 years) suffering from migraine with (n = 8) and without aura (n = 8) underwent three different provocations (normobaric hypoxia, NTG and placebo) in a randomized, cross-over, double dummy design. Each provocation was performed on a separate day. The primary outcome measure was the proportion of patients developing a migraine attack according to the criteria of the International Headache Society within 8 h after provocation onset. Fourteen patients completed all three provocations. Migraine was provoked in six (42±) patients by hypoxia, in three (21±) by NTG and in two (14±) by placebo. The differences among groups were not significant (P = 0.197). The median time to attacks was 5 h. In conclusion, the (remarkably) low response rate to NTG is surprising in view of previous data. Further studies are required to establish fully the potency of hypoxia in triggering migraine attacks.
Optimal technique for manipulation of a group of cells using optical tweezers

In this paper, we propose an integrated optimal planning and control technique for optical manipulation of a group of cells beyond the field of view. The proposed technique consists of a planning layer where a model predictive control is utilized to obtain a virtual input for manipulation of cells, and a control layer where the desired inputs for laser beams and motorized stage are obtained by means of the control allocation technique. Unlike existing methods on simultaneous manipulation of laser and motorized stage which the desired inputs for lasers and stage are given separately, here, the planning and control layers are integrated together to obtain optimal inputs for both laser and motorized stage. Finally, experimental results are presented to illustrate the performance of the proposed method.
Trust estimation of the semantic web using semantic web clustering

Abstract Development of semantic web and social network is undeniable in the Internet world these days. Widespread nature of semantic web has been very challenging to assess the trust in this field. In recent years, extensive researches have been done to estimate the trust of semantic web. Since trust of semantic web is a multidimensional problem, in this paper, we used parameters of social network authority, the value of pages links authority and semantic authority to assess the trust. Due to the large space of semantic network, we considered the problem scope to the clusters of semantic subnetworks and obtained the trust of each cluster elements as local and calculated the trust of outside resources according to their local trusts and trust of clusters to each other. According to the experimental result, the proposed method shows more than 79% Fscore that is about 11.9% in average more than Eigen, Tidal and centralised trust methods. Mean of error in this proposed method is 12.936, that is 9.75% in average less than Eigen and Tidal trust methods.
Primary Fallopian Tube Carcinoma

Primary fallopian tube carcinoma (PFTC) is a rare gynecological malignancy. Its preoperative diagnosis can be missed or delayed due to the lack of specific symptoms and signs. It is difficult to distinguish from serous epithelial ovarian cancer or primary peritoneal serous carcinoma during or even after operation because they have the same histopathological features. Standard guidelines regarding the optimal management are still not well defined.
A Simplex Method for Function Minimization

A method is described for the minimization of a function of n variables, which depends on the comparison of function values at the (n 41) vertices of a general simplex, followed by the replacement of the vertex with the highest value by another point. The simplex adapts itself to the local landscape, and contracts on to the final minimum. The method is shown to be effective and computationally compact. A procedure is given for the estimation of the Hessian matrix in the neighbourhood of the minimum, needed in statistical estimation problems.
[Participation of asthmatic children in gymnastic lessons at school].

INTRODUCTION Exercise is a predominant stimulus leading to bronchial obstruction in asthmatic children. Therefore physicians, teachers and parents still have a negative attitude towards physical exercise of asthmatic children in school. We investigated the attendance of girls and boys with asthma during sport-lessons at school. METHODS 254 teachers who give lessons in sports in 46 different schools (high school, primary and secondary school) in Hamburg were asked about their knowledge of the disease and how often and in which manner asthmatic children participated their sport-lessons. RESULTS Teachers estimated that in each class (average: 25 - 30 children) approximately 1 asthmatic is present. 60 % of these asthmatics take part likewise their healthy peers. 40 % either take part only sometimes (12,6 %) or specific elements (25,2 %) or not at all (12,2 %). Most of the teachers assessed their knowledge about the disease as medium good. In contrast, only 4,7 % of them had a specific plan that allows asthmatics to participate sport-lessons without getting obstructive. CONCLUSION Asthmatic children are underestimated in school and participate in only 60 % equally to their healthy peers at sport-lessons. The knowledge about this most frequent chronic disease in children could be increased. Better training of teacher-students and teachers is recommended.
Substance Abuse and Rehabilitation Dovepress Characteristics of Social Drinkers with and without a Hangover after Heavy Alcohol Consumption

you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms Background: A number of social drinkers claim that they do not experience next-day hangovers despite consuming large quantities of alcohol. The aim of this study was to investigate the characteristics of drinkers who claim to be hangover immune and compare them with drinkers who do report having hangovers. Methods: A total of 36 social drinkers participated in a naturalistic study consisting of a hangover day (alcohol consumed) and a control day (no alcohol consumed). Data were collected on alcohol consumption, demographics, sleep, next-day adverse effects, and mood. Data from drinkers with a hangover (N=18) were compared with data from drinkers who claim to be hangover immune (N=18). Results: Drinkers with a hangover reported drowsiness-related symptoms, symptoms related to reduced cognitive functioning, and classic hangover symptoms such as headache, nausea, dizziness , weakness, and stomach pain. Corresponding mood changes comprised increased feelings of depression, anger–hostility, fatigue, and reduced vigor–activity. In contrast, hangover-immune drinkers reported relatively few hangover symptoms, with only mild corresponding severity scores. The reported symptoms were limited to drowsiness-related symptoms such as sleepiness and being tired. The classic hangover symptoms were usually not reported by these drinkers. Conclusion: In contrast to drinkers with a hangover, for those who claim to be hangover immune, next-day adverse effects of alcohol consumption are limited to a mild increase in drowsiness-related symptoms.
Improving moments-based visual servoing with tunable visual features

In this paper, we introduce the concept of tunable visual features for moments based visual servoing schemes. The main contribution of this work is the introduction of tunable shift points along with some effective methods to tune them. We propose two different metrics: the first metric ensures optimal response of the control to errors in the image space and the second metric ensures orthogonality between the interaction matrix components (vectors) related to the control of x and y rotational motions. With the proposed method, it is possible to design moment invariants-based visual features whose interaction matrix is always non-singular for any desired pose (parallel or non-parallel). Thus, this work makes a significant contribution to the difficult problem of controlling the rotational motions around the x and y axes, when all the 6dof are involved. Two case studies are presented to demonstrate the validity of the proposed ideas. Results from each case are then used to design a moment invariants-based visual feature. This visual feature is used for visual servoing with a symmetrical object using binary moments and a free-form planar target using photometric moments.
Thermal infrared imaging in psychophysiology: Potentialities and limits

Functional infrared thermal imaging (fITI) is considered an upcoming, promising methodology in the emotional arena. Driven by sympathetic nerves, observations of affective nature derive from muscular activity subcutaneous blood flow as well as perspiration patterns in specific body parts. A review of 23 experimental procedures that employed fITI for investigations of affective nature is provided, along with the adopted experimental protocol and the thermal changes that took place on selected regions of interest in human and nonhuman subjects. Discussion is provided regarding the selection of an appropriate baseline, the autonomic nature of the thermal print, the experimental setup, methodological issues, limitations, and considerations, as well as future directions.
Blind Identification of Series-Cascade Nonlinear Channels

Identification of nonlinear channels represented with series-cascade models of Wiener and Hammerstein type is considered in this paper. The approach proposed herein is based on a bilinear decomposition of the received signal measurements matrix. Thanks to an input preceding inducing redundancy, one of the factors involved in the bilinear decomposition has a Vandermonde structure. Uniqueness conditions of the bilinear decomposition are derived by assuming that the input signal belongs to a finite alphabet. Then, a new blind identification method is proposed using an alternating least squares (ALS) approach, and some simulations results are presented to illustrate the behavior of the proposed method
Thiazolidine Derivatives Ameliorate High Glucose-induced Insulin Resistance via the Normalization of Protein-tyrosine Phosphatase Activities (*)

The mechanisms for the insulin resistance induced by hyperglycemia were investigated by studying the effect of high glucose concentration (HG) and its modulation by thiazolidine derivatives, on insulin signaling using Rat 1 fibroblasts expressing human insulin receptors (HIRc). Incubating HIRc cells in 27 mMD-glucose for 4 days impaired the insulin-stimulated phosphorylation of pp185 and receptor β-subunits. Both protein kinase C activities and phorbol dibutyrate binding to intact cells were unchanged; however, cytosolic protein-tyrosine phosphatase (PTPase) activity increased within 1 h prior to the impairment of insulin receptor kinase in HG cells (Maegawa, H., Tachikawa-Ide, R., Ugi, S., Iwanishi, M., Egawa, K., Kikkawa, R., Shigeta, Y., and Kashiwagi, A.(1993) Biochem. Biophys. Res. Commun. 197, 1078-1082). Increased PTPase activity was consistent with a 2-fold increase in the amount of PTP1B, and anti-PTP1B antibody inhibited this increment of cytosolic PTPase activity in HG cells. Co-incubating cells with pioglitazone prevented these abnormalities in cytosolic PTPase, the PTP1B content and the impaired phosphorylation of pp185 and receptor β subunits in HG cells. Finally, HG cells had impaired insulin-stimulated α-aminoisobutyric acid uptake, which was ameliorated by exposure to thiazolidine derivatives. In conclusion, exposing cells to high glucose levels desensitizes insulin receptor function, and thiazolidine derivatives can reverse the process via the normalization of cytosolic PTPase, but not of protein kinase C.
A Sparse-Group Lasso

For high-dimensional supervised learning problems, often using problem-specific assumptions can lead to greater accuracy. For problems with grouped covariates, which are believed to have sparse effects both on a group and within group level, we introduce a regularized model for linear regression with ℓ1 and ℓ2 penalties. We discuss the sparsity and other regularization properties of the optimal fit for this model, and show that it has the desired effect of group-wise and within group sparsity. We propose an algorithm to fit the model via accelerated generalized gradient descent, and extend this model and algorithm to convex loss functions. We also demonstrate the efficacy of our model and the efficiency of our algorithm on simulated data. This article has online supplementary material.
Collection Mechanism and Reduction of IDS Alert

techniques and approaches are used to address the threats that are faced by computer networks today's. Some of these reactive approaches involve Intrusion Detection System (IDS), malware data mining and network monitoring. Numerous false positive alerts are generated by the IDS, contributing negatively to system complexity and performance. In this paper, we present a new framework called collection mechanism and reduction of IDS alert framework (CMRAF) to remove duplicate IDS alerts and reduce the amount of false alerts. CMRAF is based on two models. The first model develops a mechanism to save IDS alerts, extract the standard features as intrusion detection message exchange format, and save them in DB file (CSV- type). The second model consists of three phases. The first phase removes redundant alerts, the second phase reduces false alerts based on threshold time value, and the last phase reduces false alerts based on rules with threshold common vulnerabilities and exposure value. We applied CMRAF on two environments: the Darpa 1999 and the NAv6 network center data sets. The result obtained from the experiment on Darpa 1999 data set recorded an 92% alert reduction rate, whereas that on the NAv6 data set recorded an 84% alert reduction rate. From the results, CMRAF was able to scale back a massive quantity of redundant alerts and effectively reduces false alerts.
eBA: Efficient Bandwidth Guarantee Under Traffic Variability in Datacenters

Datacenter networks suffer unpredictable performance due to a lack of application level bandwidth guarantees. A lot of attention has been drawn to solve this problem such as how to provide bandwidth guarantees for virtualized machines (VMs), proportional bandwidth share among tenants, and high network utilization under peak traffic. However, existing solutions fail to cope with highly dynamic traffic in datacenter networks. In this paper, we propose eBA, an efficient solution to bandwidth allocation that provides end-to-end bandwidth guarantee for VMs under large numbers of short flows and massive bursty traffic in datacenters. eBA leverages a novel distributed VM-to-VM rate control algorithm based on the logistic model under the control-theoretic framework. eBA’s implementation requires no changes to hardware or applications and can be deployed in standard protocol stack. The theoretical analysis and the experimental results show that eBA not only guarantees the bandwidth for VMs, but also provides fast convergence to efficiency and fairness, as well as smooth response to bursty traffic.
BOX CONSTRAINED OPTIMIZATION FOR SIGNAL DETECTION IN MIMO CHANNELS

We develop a computationally efficient approximation of the maximum likelihood (ML) detector for 16 quadrature amplitude modulation (16-QAM) in multiple-input multiple-output (MIMO) systems. The detector is based on solving a convex relaxation of the ML problem by a box constrained optimization scheme. Simulation results in a random MIMO system show that this proposed approach outperforms the conventional decorrelator detector and is similar to the semidefinite relaxation (SDR) detector. However, we should note that the complexity of the proposed approach is less than that of those detectors. In the case of 8 antennas and 4 users, about 99% fewer computations are required when compared to the SDR and ML detectors.
Introducing Variable Importance Tradeoffs into CP-Nets

The ability to make decisions and to assess potential courses of action is a comer-stone of many AI applications, and usually this requires explicit information about the decision-maker's preferences. In many applications, preference elicitation is a serious bottleneck. The user either does not have the time, the knowledge, or the expert support required to specify complex multi-attribute utility functions. In such cases, a method that is based on intuitive, yet expressive, preference statements is required. In this paper we suggest the use of TCP-nets, an enhancement of CP-nets, as a tool for representing, and reasoning about qualitative preference statements. We present and motivate this framework, define its semantics, and show how it can be used to perform constrained optimization.
CD44 Isoform Status Predicts Response to Treatment with Anti-CD44 Antibody in Cancer Patients

Purpose: CD44, a cell surface glycoprotein, plays important roles in the development, progression, and metastasis of various tumor types. The aim of this study was to investigate how the expression of CD44 isoforms influences the interaction with hyaluronic acid (HA) and how differential isoform expression impacts antitumoral responses in vivo to treatment with RG7356, a humanized anti-CD44 antibody inhibiting CD44–HA interaction. Experimental Design: CD44 isoform expression on various tumor cell lines was analyzed by RNASeq while data on patients with different tumor types were obtained from the publicly available TCGA RNASeq dataset as well as a phase I clinical study (NCT01358903). We analyzed the link between HA production and CD44 isoform expression as well as the consequences of blocking the CD44-mediated cell adhesion to HA using RG7356. The correlation between CD44 isoform expression and antitumor response to RG7356 treatment was investigated in the corresponding murine xenograft in vivo models as well as in a subset of patients treated with RG7356 from a recently completed phase I clinical trial. Results: CD44 isoform expression, in particular expression of CD44s, is associated with HA production and predicts response to treatment with RG7356 in tumor xenograft models. Furthermore, patient data suggest that CD44 isoform status is a potential predictive biomarker for clinical response to treatment with RG7356. Conclusions: We provide new insights into the close interplay between CD44 and HA and a potential biomarker to enrich patient responses to RG7356 in the clinic. Clin Cancer Res; 21(12); 2753–62. ©2015 AACR.