Miracle-dz/UniFAR-FTUs huggingface dataset:
Impacto de la ironía en la minería de opiniones basada en un Léxico Afectivo

Esta investigaci´on ha sido financiada por el proyecto DGEST con N´um. Ref. : 5049-13-P, Programa CONACYT (290842), (218109/313683) y los proyectos DIANA- APPLICATIONS (TIN2012-38603-C02-01) y WIQEI IRSES (Grant No. 269180; FP 7 Marie Curie People).
Rotor position estimation of high-speed SRM drive using neural networks

Based on the artificial neural networks(ANN), a new rotor position estimation method for switched reluctance motor(SRM) drives is investigated in this paper. The nonlinear magnetic characteristics of SRM, obtained by finite element analysis(FEA), are used as the training data. After sufficient training, the correlation among flux linkage, phase current and rotor position can be built up with the ANN. In this way, the rotor position of SRM can be estimated with the ANN from the calculated flux linkage and phase current. In order to verify the validity of this method, a 7.5kw 12/8 structure high-speed SRM is designed as the study object and the corresponding simulation model is developed via Matlab. Simulation results testify the validity of this algorithm.
Sevelamer with and without calcium and vitamin D: observations from a long-term open-label clinical trial.

OBJECTIVE To determine the effects of sevelamer hydrochloride on serum phosphorus, calcium, calcium x phosphate product, and parathyroid hormone (PTH) in patients treated with and without vitamin D metabolites and calcium supplementation. DESIGN Long-term, open-label clinical trial. SETTING Hemodialysis units. PATIENTS One hundred ninety-two adult patients with end-stage renal disease on hemodialysis. INTERVENTION An extended treatment period of sevelamer hydrochloride, preceded and followed by phosphate binder washout periods. MAIN OUTCOME MEASURES Treatment-related changes in serum phosphorus, calcium, calcium x phosphate product, and PTH. RESULTS Subjects treated with sevelamer alone, sevelamer with vitamin D metabolites (with or without calcium), and sevelamer with calcium without vitamin D experienced significant reductions in mean serum phosphorus (range, 2.1 to -2.9 mg/dL) and the calcium x phosphate product (range, -16.3 to -23.4 mg2/dL2). The mean serum calcium concentration increased in all subgroups except those treated with sevelamer alone (range, +0.3 to +0.5 mg/dL). In contrast, only subjects treated concurrently with vitamin D metabolites experienced a reduction in PTH. Subjects treated with sevelamer alone or sevelamer with calcium without vitamin D experienced an increase in PTH with treatment. CONCLUSION Sevelamer hydrochloride is a safe and effective phosphate binder in hemodialysis patients. Sevelamer should be used in combination with vitamin D metabolites to jointly control hyperphosphatemia and hyperparathyroidism. Randomized clinical trials will be required to determine the optimal management strategies for metabolic bone disease in end-stage renal disease, as well as less advanced stages of chronic renal insufficiency.
Computing median values in a cloud environment using GridBatch and MapReduce

Traditional enterprise software is built around a dedicated high-performance infrastructure and it cannot map to an infrastructure cloud directly without a significant performance loss. Although MapReduce[1] holds the promise as a viable approach, it lacks building blocks that enable high-performance optimization, especially in a shared infrastructure. Following on our previous work [2], we introduce another building block called the Block Level Operator (BLO) and we show how it can be applied to solve a real enterprise application of finding the medians in a large data set. We propose two efficient approaches to compute medians, one using MapReduce and the other using the BLO. We compare the two approaches, as well as with that of using the traditional enterprise software stack, and show that our approach using the BLO gives an order of magnitude of improvement.
Climatic warming disrupts recurrent Alpine insect outbreaks

Climate change has been identified as a causal factor for diverse ecological changes worldwide. Warming trends over the last couple of decades have coincided with the collapse of long-term population cycles in a broad range of taxa, although causal mechanisms are not well-understood. Larch budmoth (LBM) population dynamics across the European Alps, a classic example of regular outbreaks, inexplicably changed sometime during the 1980s after 1,200 y of nearly uninterrupted periodic outbreak cycles. Herein, analysis of perhaps the most extensive spatiotemporal dataset of population dynamics and reconstructed Alpine-wide LBM defoliation records reveals elevational shifts in LBM outbreak epicenters that coincide with temperature fluctuations over two centuries. A population model supports the hypothesis that temperature-mediated shifting of the optimal elevation for LBM population growth is the mechanism for elevational epicenter changes. Increases in the optimal elevation for population growth over the warming period of the last century to near the distributional limit of host larch likely dampened population cycles, thereby causing the collapse of a millennium-long outbreak cycle. The threshold-like change in LBM outbreak pattern highlights how interacting species with differential response rates to climate change can result in dramatic ecological changes.
Applications of a Blood-Brain Barrier Technology Platform to Predict CNS Penetration of Various Chemotherapeutic Agents. 1. Anti-Infective Drugs

Except for a few well-documented CNS therapeutics, quantitative data on blood-brain barrier (BBB) permeation is incomplete, unreliable or nonexistent and this is a major impediment in BBB modeling. Furthermore, only the passive diffusion component is generally taken into account. Three techniques of modeling (in vivo, in vitro and in silico) were set up and compared. The in silico predicted permeation of 287 anti-infective drugs has been faced to clinical observations. Good correlations were observed between in vitro permeability coefficients, influx transfer coefficients from in vivo studies and Pe scores from the computational model. High Pe score values are associated with an increase of reported CNS side effects.
Comparison of different approaches to measuring influenza A virus-specific hemagglutination inhibition antibodies in the presence of serum inhibitors

The A/Los Angeles/2/87 (H3N2) (A/LA/2/87) virus is sensitive to inhibitors of hemagglutination present in certain human sera. It was found that the effect of these inhibitors could be removed by treating sera with high-concentration receptor-destroying enzyme or trypsin-periodate or by using inhibitor-resistant viruses in the hemagglutination inhibition (HAI) test. Inhibitor-resistant viruses were not effective for detecting rises in antibody titers in the sera of volunteers infected with the A/LA/2/87 wild-type virus, while rises in antibody titer were readily detected in sera treated with trypsin-periodate and tested against A/LA/2/87 wild-type virus in an HAI test. It is therefore suggested that chemical or enzymatic methods be used to inactivate serum inhibitors and that standard virus be used in the HAI test for the currently circulating H3N2 viruses.
Enhancing choices through collective capability: a study of invisible home-based cashew processors in Kerala, India.

This article is an attempt to understand the heterogeneous nature of home-based cashew workers in Kerala. The article uses narrative approach to illustrate the lived experiences of the home-based workers. The evidence from the field study in Kollam district reveals that the majority of the workers engaged in the home-based processing, voluntarily or involuntarily, are women. The home-based processing is considered as an additional option to earn income by these workers. As a result, despite the ban on cottage processing of cashew, it is operating in a clandestine manner. The study shows that the enhancement of individual and collective capabilities of the women in the informal sector requires an understanding of their multiple identities, as well as an acknowledgement of the existing gender relations and social structure.
Epilepsies of Neonatal Onset

Although neonatal seizures are classified as an epileptic syndrome with both generalized and focal seizures in the recent classification, etiologies are very diverse. Most neonatal seizures are caused by acute brain insults, and such seizures cannot be called epilepsy, a chronic brain disorder characterized by repeated attacks. In this paper, we evaluated epilepsies of neonatal onset, i.e., neonatal seizures excluding those due to acute brain insults.
An Adaptable Context Management Framework for Pervasive Computing

Pervasive Computing presents an exciting realm where intelligent devices interact within the background of our environments to create a more intuitive experience for their human users. We demonstrate enabling context-awareness through our creation of a standardized context-management framework. Our framework moves towards device intelligence by supporting context-awareness. Context-awareness is what gives devices the ability to understand and exchange information about each other. Context information is used to determine device purpose, capabilities, location, current state, and other properties. Several elements are required in order to achieve context-awareness, including a suitable ontology, a context model, and a middleware platform upon which to implement the context model. In this work, a complete context-management framework is presented and evaluated. We propose our own ontology specification and context model, and implement a middleware using the Web Services Distributed Management (WSDM) interoperability standard.
1 Meaning and noise in self-report public health data

The Vaccine Adverse Event Reporting System contains self-reported adverse events following vaccination for safety monitoring. In seeking communities within VAERS, we develop a generative model for VAERS data which provides insight into the structure of the adverse event network. We then use the model and experimental techniques to gain insights into the nature of noise in the VAERS data. We identify specific challenges and needs for identifying communities in networks like VAERS, which is weighted and noisy, and we introduce the idea that affiliation graph models may produce " subclusters " that match emergent properties of the underlying clusters in the data rather than the underlying clusters themselves.
Influence of Ni2+ on urease activity produced by biofilms of Arthrobacter oxydans 1388

New TiO2-based hybrid materials composed of an organic polymer, cellulose acetate butyrate and copolymer of acrylonitrile acrylamide (AN + AA) were prepared. The effectiveness of immobilization of microbial strain Arthrobacter oxydans 1388 on the newly synthesized hybrid membranes was investigated by biochemical methods. The obtained results revealed that the matrix more suitable for biofilm formation was composed of organic polymers without a metal component in the membrane composition. The influence of Ni2+ on urease activity produced by biofilms was investigated. The experimental results demonstrated that 2 mg L−1 concentration of Ni2+ in the nutrient medium is more appropriate for biofilm proliferation.
A High-Efficient Algorithm of Mobile Load Balancing in LTE System

Mobility Load balance(MLB) is an key technology belonging to self-organization networks(SONs) in Long Term Evolution (LTE) system. In the paper, a high-efficient algorithm is proposed to balance the uneven load between neighboring cells in LTE system. The algorithm adjusts the cell-specific offset between neighboring cells (OCN) adaptively depending on the load difference between neighboring cells. If the load difference exceeds the presetting threshold, then the algorithm will be triggered and adjust the OCN by adding or subtracting an adaptive step-size. Also, a power function is proposed to characterize the adaptive step-size and the step-size will be larger as the load difference between neighboring cells increases. This feature of the power function makes the MLB algorithm more efficient to fit the largely uneven load between neighboring cells. Furthermore, a simulation platform with 7 cell is set to evaluate the algorithm with different power of the function. It demonstrates that the adaptive algorithm can get the lower call blocking rates and handover failure rates because of its high-efficiency in load balancing. It also shows with the small appropriate power, we can get better system performances.
Nuclear Localized Phosphorylated FADD Induces Cell Proliferation and is Associated with Aggressive Lung Cancer

Fas-associated death domain (FADD)/Mort1 was initially reported as a pro-apoptotic adaptor molecule that recruits the initiator caspases 8 and 10 to promote formation of the death-inducing signal complex (DISC) and mediates receptor induced apoptosis. Recent studies have brought to light ancillary death receptor induced apoptosis-independent activities of FADD that include cell cycle regulation, NF-κB activation, cell proliferation and role during embryonic development. We have recently shown that in lung adenocarcinomas increased FADD mRNA and protein are significantly associated with poor survival and that FADD overexpression was not due to gene amplification and/or mutation. In this study we showed that the nuclear localization of FADD and elevated expression of the phosphorylated form of FADD (p-FADD) correlated most closely with an increase in NF-κB activity and poor clinical outcome. These results suggest that levels of p-FADD may be used as a prognostic biomarker for predicting survival of lung cancer patients.
Non-Replication of Genome-Wide Based Associations between Common Variants in INSIG2 and PFKP and Obesity in Studies of 18,014 Danes

Background The INSIG2 rs7566605 and PFKP rs6602024 polymorphisms have been identified as obesity gene variants in genome-wide association (GWA) studies. However, replication has been contradictory for both variants. The aims of this study were to validate these obesity-associations through case-control studies and analyses of obesity-related quantitative traits. Moreover, since environmental and genetic factors may modulate the impact of a genetic variant, we wanted to perform such interaction analyses. We focused on physical activity as an environmental risk factor, and on the GWA identified obesity variants in FTO (rs9939609) and near MC4R (rs17782313) as genetic risk factors. Materials and Methods The four variants were genotyped in a combined study sample comprising a total of 18,014 subject ascertained from, the population-based Inter99 cohort (n = 6,514), the ADDITION screening cohort (n = 8,662), a population-based study sample (n = 680) and a type 2 diabetic patient group (n = 2,158) from Steno Diabetes Center. Results No association with overweight, obesity or obesity-related measures was shown for either the INSIG2 rs7566605 or the PFKP rs6602024 variants. However, an interaction between the INSIG2 rs7566605 variant and the level of self-reported physical activity (p Int = 0.004) was observed. A BMI difference of 0.53 (SE 0.42) kg/m2 was found when comparing physically passive homozygous C-allele carriers with physically passive G-allele carriers. No interactions between the two variants and FTO rs9939609 and MC4R rs17782313 were observed. Conclusions The INSIG2 rs7566605 and PFKP rs6602024 polymorphisms play no apparent role in the development of common forms of obesity in the Danish population. However, if replicated, the INSIG2 rs7566605 may influence the level of BMI in combination with the level of physical activity.
1-[3,5-Bis(trifluoromethyl)phenyl]-3-[(5-ethenyl-1-azabicyclo[2.2.2]octan-2-yl)(6-methoxyquinolin-4-yl)methyl]thiourea–l-proline–methanol (1/1/1)1

In the methanol solvate of the title 1:1 cocrystal, C29H28F6N4OS·C5H9NO2·CH4O, the l-proline molecule exists as a zwitterion. In the crystal, the disubstituted thiourea, l-proline and methanol molecules are linked by N—H⋯O and N—H⋯N hydrogen bonds, forming a two-dimensional array in the ab plane.
Security and Performance Aspects of an Agent-Based Link-Layer Vulnerability Discovery Mechanism

The identification of vulnerable hosts and subsequent deployment of mitigation mechanisms such as service disabling or installation of patches is both time-critical and error-prone. This is in part owing to the fact that malicious worms can rapidly scan networks for vulnerable hosts, but is further exacerbated by the fact that network topologies are becoming more fluid and vulnerable hosts may only be visible intermittently for environments such as virtual machines or wireless edge networks. In this paper we therefore describe and evaluate an agent-based mechanism which uses the spanning tree protocol (STP) to gain knowledge of the underlying network topology to allow both rapid and resource-efficient traversal of the network by agents as well as residual scanning and mitigation techniques on edge nodes. We report performance results, comparing the mechanism against a random scanning worm and demonstrating that network immunity can be largely achieved despite a very limited warning interval. We also discuss mechanisms to protect the agent mechanism against subversion, noting that similar approaches are also increasingly deployed in case of malicious code.
Functional organization of the basal ganglia: Therapeutic implications for Parkinson's disease

The basal ganglia (BG) are a highly organized network, where different parts are activated for specific functions and circumstances. The BG are involved in movement control, as well as associative learning, planning, working memory, and emotion. We concentrate on the “motor circuit” because it is the best understood anatomically and physiologically, and because Parkinson's disease is mainly thought to be a movement disorder. Normal function of the BG requires fine tuning of neuronal excitability within each nucleus to determine the exact degree of movement facilitation or inhibition at any given moment. This is mediated by the complex organization of the striatum, where the excitability of medium spiny neurons is controlled by several pre‐ and postsynaptic mechanisms as well as interneuron activity, and secured by several recurrent or internal BG circuits. The motor circuit of the BG has two entry points, the striatum and the subthalamic nucleus (STN), and an output, the globus pallidus pars interna (GPi), which connects to the cortex via the motor thalamus. Neuronal afferents coding for a given movement or task project to the BG by two different systems: (1) Direct disynaptic projections to the GPi via the striatum and STN. (2) Indirect trisynaptic projections to the GPi via the globus pallidus pars externa (GPe). Corticostriatal afferents primarily act to inhibit medium spiny neurons in the “indirect circuit” and facilitate neurons in the “direct circuit. ” The GPe is in a pivotal position to regulate the motor output of the BG. Dopamine finely tunes striatal input as well as neuronal striatal activity, and modulates GPe, GPi, and STN activity. Dopaminergic depletion in Parkinson's disease disrupts the corticostriatal balance leading to increased activity the indirect circuit and reduced activity in the direct circuit. The precise chain of events leading to increased STN activity is not completely understood, but impaired dopaminergic regulation of the GPe, GPi, and STN may be involved. The parkinsonian state is characterized by disruption of the internal balance of the BG leading to hyperactivity in the two main entry points of the network (striatum and STN) and excessive inhibitory output from the GPi. Replacement therapy with standard levodopa creates a further imbalance, producing an abnormal pattern of neuronal discharge and synchronization of neuronal firing that sustain the “off” and “on with dyskinesia” states. The effect of levodopa is robust but short‐lasting and converts the parkinsonian BG into a highly unstable system, where pharmacological and compensatory effects act in opposing directions. This creates a scenario that substantially departs from the normal physiological state of the BG. © 2008 Movement Disorder Society
Human face recognition using PCA based Genetic Algorithm

This paper illustrates an approach to recognize a face using Principal Components Analysis based Genetic Algorithm in the area of computer vision. Facial image analysis plays an important role for human computer interaction, although automatic face recognition is still a big challenge for many applications. The PCA is applied to extract features from images with the help of covariance analysis to generate Eigen components of the images and reduce the dimensionality. Genetic Algorithm is an optimization technique which gives the optimal solutions from the generated large search space. For our experiment we used Japanese Female Facial Expression (JAFFE) face database with an encouraging result approximately 96%.
lopidogrel 150 mg / day to Overcome Low esponsiveness in Patients Undergoing Elective ercutaneous Coronary Intervention esults From the VASP-02 ( Vasodilator-Stimulated Phosphoprotein-02 ) andomized Study

esults After 2 weeks, clopidogrel 150 mg/day produced a significantly lower platelet reactivity ndex than clopidogrel 75 mg/day (43.9 17.3% vs. 58.6 17.7%; p 0.0001). The proportion f low responders was significantly lower in patients randomized to clopidogrel 150 mg/day than n those randomized to clopidogrel 75 mg/day (8.6% vs. 33.7%; p 0.0004). In the clopidogrel 5 mg/day group, 64.5% (20 of 31) of low responders became responders after switching to clopiogrel 150 mg/day for 2 weeks. No major bleeds occurred during the study; the incidence of minor leeds was similar in each treatment group.
Relationship between Personality Types A and B and Creativity Level of Secondary School Students’ In Kwara State, Nigeria

The study investigated the relationship between personality types and creativity level of secondary school adolescents’ in Kwara State. Correlational research method was adopted. Stratified random sampling technique was used to select ten schools across the state. Four hundred students across the ten schools were sampled. Two instruments were used. Thus, JuggMyers Briggs Personality questionnaire and creativity and innovation scale adopted from Animasahun. The instruments were subjected to pilot testing and were found to have the coefficient of reliability of 0.76 and 0.68 respectively using the Pearson product moment correlation coefficient statistics at 0.05 level of significance. Findings of the study revealed that there was a significant relationship between personality types and creativity level of secondary school students in kwara state; it also revealed that there was no significant relationship between the variables on the basis of gender and school types. Recommendations were made by the researchers that attention should be given to students irrespective of their personality types by both parents and teachers in order to cater for them and provide necessary attention that can help them to explore and utilize their creative potentials, also teachers should use appropriate teaching methods in teaching in order to enhance students’ creativity.