Miracle-dz/UniFAR-FTUs huggingface dataset:
Résumé automatique de parole pour un accès efficace aux bases de données audio. (Efficient Access to Speech Databases through Automatic Summarization)

L'avenement du numerique permet de stocker de grandes quantites de parole a moindre cout. Malgre les recentes avancees en recherche documentaire audio, il reste difficile d'exploiter les documents a cause du temps necessaire pour les ecouter. Nous tentons d'attenuer cet inconvenient en produisant un resume automatique parle a partir des informations les plus importantes. Pour y parvenir, une methode de resume par extraction est appliquee au contenu parle, transcrit et structure automatiquement. La transcription enrichie est realisee grâce aux outils Speeral et Alize developpes au LIA. Nous completons cette chaine de structuration par une segmentation en phrases et une detection des entites nommees, deux caracteristiques importantes pour le resume par extraction. La methode de resume proposee prend en compte les contraintes imposees par des donnees audio et par des interactions avec l'utilisateur. De plus, cette methode integre une projection dans un espace pseudo-semantique des phrases. Les differents modules mis en place aboutissent a un demonstrateur complet facilitant l'etude des interactions avec l'utilisateur. En l'absence de donnees d'evaluation sur la parole, la methode de resume est evaluee sur le texte lors de la campagne DUC 2006. Nous simulons l'impact d'un contenu parle en degradant artificiellement les donnees de cette meme campagne. Enfin, l'ensemble de la chaine de traitement est mise en œuvre au sein d'un demonstrateur facilitant l'acces aux emissions radiophoniques de la campagne ESTER. Nous proposons, dans le cadre de ce demonstrateur, une frise chronologique interactive complementaire au resume parle.
MULTISCALE SEGMENTATION OF POLARIMETRIC SAR IMAGE BASED ON SRM SUPERPIXELS

Abstract. Multi-scale segmentation of remote sensing image is more systematic and more convenient for the object-oriented image analysis compared to single-scale segmentation. However, the existing pixel-based polarimetric SAR (PolSAR) image multi-scale segmentation algorithms are usually inefficient and impractical. In this paper, we proposed a superpixel-based binary partition tree (BPT) segmentation algorithm by combining the generalized statistical region merging (GSRM) algorithm and the BPT algorithm. First, superpixels are obtained by setting a maximum region number threshold to GSRM. Then, the region merging process of the BPT algorithm is implemented based on superpixels but not pixels. The proposed algorithm inherits the advantages of both GSRM and BPT. The operation efficiency is obviously improved compared to the pixel-based BPT segmentation. Experiments using the Lband ESAR image over the Oberpfaffenhofen test site proved the effectiveness of the proposed method.
Evidence for cyclooxygenase activation by nitric oxide in astrocytes

We have evaluated the role of nitric oxide (NO) on the cyclooxygenase pathway in mouse glial cells. Exposure of primary cultures of neonatal mouse cortical astrocytes to bacterial lipopolysaccharide (LPS; 1 μg/ml, 18 h) caused an increase in the release of both nitrite (NO−2) and prostaglandin E2 (PGE22), products of NO synthase (NOS) and cyclooxygenase, respectively. Production of both, NO−2 and PGE2 by astrocytes, was inhibited by the exposure of the NOS inhibitor Nw‐nitro‐L‐arginine methyl ester (L‐NAME: 1, 10, and 100 μM) in a dose related manner. Besides, other NOS inhibitors such as Nitro L‐arginine (NNA: 10−3 M) prevented the increase in PGE2 release from LPS‐stimulated astrocytes. Sodium nitroprusside (SNP; 100–200 μM) used as a NO donor caused a dose‐related enhancement in the accumulation of PGE2 induced by LPS and the presence of hemoglobin blocked the SNP effects. The exposure to SNP counteracted the decrease of PGE2 production in LPS‐treated astrocytes in which NO synthesis was blocked by L‐NAME. In addition, SNP also enhanced the synthesis of PGE2 following exogenous arachidonic acid astrocytes exposure. Interestingly, this effect was blocked by indomethacin. Treatment of astrocytes cultures with dexamethasone (0.1, 1 μM) blocked dose‐relatedly the LPS‐induced release of both NO−2 and PGE2. As expected, the presence of indomethacin (1, 10, and 20 μM) prevented in a dose related fashion, PGE2 production by astrocytes following exposure to LPS. These results strongly indicate that in astroglial cells, NO is able to activate the cyclooxygenase pathway. © 1995 Wiley‐Liss, Inc.
Peptide-based immunotherapeutic approaches to glioma: a review

Despite advances in surgery, radiation and chemotherapy, the prognosis of patients with malignant glioma is still very poor; therefore, the development of a novel therapeutic modality is essential. There are increasing reports demonstrating that systemic immunotherapy using dendritic cells or a peptide vaccine is capable of inducing an antiglioma response. Peptide-based immunotherapy strategies appear promising as an approach to successfully induce an antitumor immune response and prolong survival in patients with glioma without major side effects. Now, peptide-based immunotherapy could be a new treatment modality for patients with brain tumors.
A nonhuman primate model for the study of the cervical oncogenic potential of herpes simplex virus type 2.

A primary genital infection with herpes simplex virus type 2 can be established in Cebus monkeys with the development of genital lesions in approximately one-half of the infected animals. The lesions occur on the vulva and on the cervix and occasionally are observed at other sites. As in humans, spontaneous genital recurrences can occur in infected monkeys. Veneral transmission from genitally infected female monkeys to males have occurred. The presence of herpes simplex virus antibodies prior to herpes simplex virus type 2 genital inoculation does not appear to influence the rate of genital infection as compared to animals with undetectable antibodies in their acute serum.
Risk prediction of small pulmonary nodules based on novel CT image texture markers

Among the detected small nodules sized from 3 to 30mm in CT images, a significant portion is undetermined in terms of malignancy which needs biopsy or other follow-up means, resulting in excessive risk and cost. Therefore, predicting the malignancy of the nodules becomes a clinically desirable task. Based on the previous study of texture features extracted from gray-tone spatial-dependence matrices, this study aims to find more efficient texture features or image texture markers in discriminating the nodule malignancy. Two new image texture markers (median and variance) are proposed to classify the small nodules into different malignant levels, thus the risk prediction could be performed through image analysis. These two new image texture markers can minimize the effect of outliers in the feature series, thus can reduce the noise influence to the feature classification. Total 1,353 nodule samples selected from the Lung Image Database Consortium were used to evaluate the efficiency of the proposed new features. All the classification results are shown in the ROC curves and tabulated by the AUC values. The classification outcomes from (1) the most likely and likely benign nodules vs. the most likely and likely malignant nodules, (2) the most likely vs. likely benign nodules, and (3) the most likely vs. likely malignant nodules, are 0.9125±0.0096, 0.9239±0.0147, and 0.8888±0.0197, respectively, in terms of the largest AUC values. From the experimental outcomes on different malignant levels, the two new image texture markers from nodule volumetric CT image data have shown encouraging performance for the risk prediction.
Password authenticated key agreement with smart cards for remote systems

In this paper, we present a password authenticated key agreement scheme for remote systems. The proposed sheme is built on bilinear pairings. Compared with Juang et al's scheme and Shieh et al's, the proposed scheme provides perfect forward secrecy. Moreover, the proposed scheme has a password update option, which enables the users to update their passwords freely and securely.
Technical Note: A simple method for air–sea gas exchange measurements in mesocosms and its application in carbon budgeting

Mesocosms as large experimental vessels principally provide the opportunity of performing elemental budget calculations e.g. to derive net biological turnover rates. However, the system is in most cases not closed at the water surface and gases can exchange with the atmosphere. Previous attempts to budget carbon pools in mesocosms relied on educated guesses concerning the exchange of CO2 with the atmosphere. Nevertheless, net primary production rates derived from these budget calculations were, despite large uncertainties in air/sea gas exchange, often more reasonable than cumulative extrapolations of bioassays. While bioassays have limitations representing the full spectrum of trophic levels and abiotic conditions inside the mesocosms, calculating dissolved inorganic carbon uptake inside the mesocosms has the potential to deliver net community production rates representative of the enclosed system. Here, we present a simple method for precise determination of air/sea gas exchange velocities in mesocosms using N2O as a deliberate tracer. Beside the application for carbon budgeting, exchange velocities can be used to calculate exchange rates of any gas of known concentration, e.g. to calculate aquatic production rates of climate relevant trace gases. Using an arctic (Kiel Off Shore Mesocosms for future Ocean Simulation) mesocosm experiment as an exemplary dataset, it is shown that application of the presented method largely improves accuracy of carbon budget estimates. Methodology of manipulation, measurement, data processing and conversion to CO2 fluxes are explained. A theoretical discussion of prerequisites for precise gas exchange measurements provides a guideline for the applicability of the method under various experimental conditions.
Reactivation of the p53 tumor suppressor pathway by a stapled p53 peptide.

Department of Chemistry and Chemical Biology, Har Vard UniVersity, Cambridge, Massachusetts 02138, Program in Cancer Chemical Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, Department of Pediatric Oncology, Dana-Farber Cancer Institute and Children’s Hospital Boston, Har Vard Medical School, Boston, Massachusetts 02115, and Howard Hughes Medical Institute, Har Vard Medical School, Boston, Massachusetts 02115
Vehicle routing problem using savings-insertion and reactive tabu with a variable threshold

This paper focuses on how the competitiveness of companies is impacted by products distribution and transportation costs, especially in the context of exports. This paper uses our two-steps approach, consisting of building a good initial solution and then improving it to solve vehicle routing problem. To that end, first, our mathematical model is adapted; secondly, our Savings-insertion builds a good initial solution, and thirdly, our Reactive tabu with a variable threshold improves the initial solution. The objective is the minimization of the total distance of transport by respecting the specified time window and the demand of all customers, which are important for some transportation companies’. Finally, the experimental results obtained with our methodology for Solomon 100 customers 56 vehicle routing problems are provided and discussed. Our methodology provides the best solutions for problems types R2 and RC2. Therefore, using our methodology reduces the total distance for long-haul vehicle routing problems.
Study effect of mint essence on pain, bloat and nausea in patients undergoing appendectomy

Appendectomy is the most common surgery in the world. Pain, bloat and nausea are the most side effects after appendectomy that leads to high morbidity and dissatisfaction in these patients. Herbal therapy is one the treatment . This study conducted aimed to investigate the effect of super mint on pain, nausea and bloat of patients undergoing of appendectomy. This study was a double-blind clinical trial that has been conducted on 82 patients (control group: 41 patients) and (case group: 41 patients) that were undergoing appendectomy in first 24h in Ariashahr hospital at Mashhad city. Super mint and placebo have been used by patients by oral feeding in five steps with 20 minute intervals. The Pain, bloat and nausea have been measured by use of Visual Analogue Scale (VAS) questioner that approved in different studies. Age ranges of patients were 15-52 year. Descriptive tests showed that two group in to age, sex, operation time, anesthesia and awaken time were similar and not found significant difference. The results showed that oral feeding of super mint led to decrease pain (p=0.04), nausea (p=0.01) and bloat (p=0.03). According to the results of present study it seems that feeding use of super mint in 24 h of postoperative time lead to decrease pain; nausea and bloat in patients were that undergoing appendectomy.
Agents That Help to Detect Trustworthy Knowledge Sources in Knowledge Management Systems

Knowledge Management is a critical factor for companies worried about increasing their competitive advantage. Because of this companies are acquiring knowledge management tools that help them manage and reuse their knowledge. One of the mechanisms most commonly used with this goal is that of Knowledge Management Systems (KMS). However, sometimes KMS are not very used by the employees, who consider that the knowledge stored is not very valuable. In order to avoid it, in this paper we propose a three-level multi-agent architecture based on the concept of communities of practice with the idea of providing the most trustworthy knowledge to each person according to the reputation of the knowledge source. Moreover a prototype that demostrates the feasibility of our ideas is described.
Mental Health Services Availability and Admission of the Seriously Mentally Ill from the Emergency Department

This study used a cross-sectional, multiple logistic regression design to examine the relationship between mental health service availability and the admission of 111,527 seriously mentally ill (SMI) patients from the emergency department (ED) in New York State in 2002. The study found that SMI patients were admitted from the ED in counties that were mental health professional shortage areas and in counties with less long-term inpatient psychiatric days. Contrary to expectations, counties with community mental health centers (CMHCs) had more admissions than counties without CMHCs. The results support prior research that indicates the need for more specialized mental health services for the SMI, including more psychiatric beds.
Feasibility of a community-based interdisciplinary lifestyle intervention trial on weight loss (the HealthTrack study)

Aim The aim of this study was to test the feasibility and acceptability of a novel interdisciplinary intervention on weight loss. Methods A 3-month parallel, blinded, randomised controlled trial compared the effects of an interdisciplinary model of care (individualised interdisciplinary advice delivered through dietitians) with control (general advice on diet and physical activity delivered by primary care nurses). The primary outcome was assessing feasibility and acceptability of the protocol, with secondary outcomes including body weight, clinical, dietary, physical activity and psychological variables. Results Twenty-four participants were randomised and 21 included in the final analysis. The recruitment rate was 42% (24/57) and the eligibility rate 83% (24/29). The withdrawal rate was low (13% overall) compared with similar trials. Attendance at study visits was higher in the intervention arm compared with control (100 vs 83%), which may be an artefact of the greater individualised treatment provided in the integrated model. Conclusions This study confirmed the feasibility and acceptability of the novel interdisciplinary lifestyle intervention within the region.
Task-Compatibility-Based Motion Planning for Bimanual Assembly

Bimanual robotic assembly is modeled at the task-level using contact states of workpieces and their transitions. Task-compatibility-based motion planning is developed to derive the lower-level velocity commands from the task-level symbolic transitions of the bimanual assembly model. The cost-function based on the manipulability and compatibility is designed to determine the assembly motions of the two manipulators. The assembly motions are executed along the direction of maximizing the sum of the performance indices to improve the control performance of the two manipulators. The problem is formulated as a constrained optimization considering the assembly constraints, position of the workpieces, and the kinematics and redundancy of the bimanual robot. The proposed approach is evaluated with 2D simulation of a peg-in-hole assembly with an L-shaped peg and two 3-dof manipulators.
Architectural impacts of emerging transistors

At present there is much effort to determine if emerging information processing devices could have a positive impact on the performance of non-Boolean/non-von Neumann computer architectures. We explore this topic here by specifically considering how emerging transistor technologies might impact cellular neural networks (CNNs). For CNNs, prior work suggests that new transistor structures could be employed to better facilitate non-binary outputs - that in turn reduce the number of template/programming operations as well as the hardware paths needed to solve a given problem. Here, we present analysis that considers how the above approach could impact the performance/energy of the cells that comprise the CNN. We also consider how characteristics of other emerging transistor technologies could positively impact CNNs - particularly with respect to reduced program complexity.
Oil spill detection in sar images using wavelets and morphology

Oil spills at sea surface can be found at nearby vessels due to clearing tanks while sailing or by accidents. Problem of oil spill detection is considered in the paper. The basis source for the detection is radar image. The proposed method combines wavelets and morphology. Preliminary research shows that any type of morphology structural element can be used for the purpose as long as it is not too big kernel.
Optimal Control of an Active Prosthetic Ankle

Active below-knee prosthesis has been commercially available but the present day devices consume high amount of torque, resulting in high power requirement. A gap in the complete understanding of the biomechanics of ankle-foot followed by dynamic interaction of an amputee and prosthesis is one of the main hitches in developing optimal bio-mimetic ankle-foot prosthesis. This paper highlights 1) Electromechanical modeling of the ankle-foot system (AFS) in Pro-e® 2) Dynamic modeling of the AFS and 3) Optimization of AFS torque. A 1DOF electro-mechanical ankle-foot model wearable by an amputee and as a result the torque required by the system to produce a healthy gait pattern is optimized. The system's dynamic equations are modeled and the Levenberg-Marquardt algorithm is used as an optimization tool. Results have shown that a minimized amount of torque can produce the desirable gait pattern.
Coagulopathy Does Not Fully Protect Hospitalized Cirrhosis Patients from Peripheral Venous Thromboembolism

OBJECTIVE:Despite the endogenous coagulopathy of cirrhosis, some patients with cirrhosis experience thrombophilic states. This study aims to determine the incidence and predictors of venous thromboembolism (VTE), such as deep vein thrombosis (DVT) and pulmonary embolism, in hospitalized patients with cirrhosis.METHODS:A retrospective case-control study was performed in a tertiary-care teaching hospital over an 8-yr period. A total of 113 hospitalized patients with cirrhosis with a documented new VTE were compared to controls. Risk factors for VTE were determined using univariate and multivariate statistical analyses.RESULTS:Approximately 0.5% of all hospitalized patients with cirrhosis had a VTE. Traditional markers of coagulation such as INR and platelet count were not predictive of VTE. In the univariate analysis, serum albumin level was significantly lower in cases than controls (2.85 vs. 3.10 g/dL, respectively, p = 0.01). In the multivariate analysis, serum albumin remained independently predictive of VTE, with an odds ratio of 0.25 (95% CI 0.10–0.56). CONCLUSIONS:Approximately 0.5% of admissions involving cirrhosis patients resulted in a new thromboembolic event. Low serum albumin was strongly predictive of increased risk for developing VTE, independent of international normalized ratio or platelet count. Serum albumin deficiency may indicate low levels of endogenous anticoagulants.
Social Media Analytics and Intelligence

In a broad sense, social media refers to a conversational, distributed mode of content generation, dissemination, and communication among communities. Different from broadcast-based traditional and industrial media, social media has torn down the boundaries between authorship and readership, while the information consumption and dissemination process is becoming intrinsically intertwined with the process of generating and sharing information. This special issue samples the state of the art in social media analytics and intelligence research that has direct relevance to the AI subfield from either an methodological or domain perspective.
Inducing clause-combining operations for natural language generation

Recent work in end-to-end generation has reduced the need for knowledgeengineering, but is insufficiently sensitive to discourse structure. We present a method for inducing clause-combining rules for use in a traditional natural language generation architecture to address this gap. Our algorithm is able to learn all of the clause-combining rules present in the SPaRKy restaurant corpus from exemplary input-output pairs and is currently being extended to include the induction of both lexicalization and referring expression rules. We also describe initial work applying this technique in a new domain.
SBVR Based Natural Language Interface to Ontologies

The semantic search over ontologies allows user to retrieve more relevant results comparing with ordinary keyword based search systems. This type of search system is powered by ontologies and the most convenient interface to ontologies is natural language interface. In this paper, we present multilingual SBVR based natural language interface to ontologies, which allows writing questions based on concepts of SBVR vocabulary and transforms them to SPARQL queries using model transformations. The solution can also be used for questioning, when question mapping to ontology is not straightforward. The experimental evaluation of correctness using Mooney Natural Language Learning Data showed results, similar to other natural language interface solutions, answering questions in English and Lithuanian languages. DOI: http://dx.doi. org/10.5755/j01.itc. 46.1. 13998