Miracle-dz/UniFAR-FTUs huggingface dataset:
Hesitant Fuzzy Linguistic Term Set Based Document Classification

This Paper Presents Hesitant Fuzzy Information About Data Sets. Hesitant Fuzzy Linguistic Term Set (HFLTS) is based on the fuzzy linguistic Approach that will serve as basis to Increase the flexibility of elicitation of linguistic Information. For experimental Classification results analysis evaluated using the Analytical SAS 9.0 Software is used. The Experimental Classification Results show the proposed approach Best performs.
Placing images on the world map: a microblog-based enrichment approach

Estimating the geographic location of images is a task which has received increasing attention recently. Large numbers of images uploaded to platforms such as Flickr do not contain GPS-based latitude/longitude coordinates. Obtaining such geographic information is beneficial for a variety of applications including travelogues, visual place descriptions and personalized travel recommendations. While most works in this area only exploit an image's textual meta-data (tags, title, etc.) to estimate at what geographic location the image was taken, we consider an additional textual dimension: the image owner's traces on the social Web. Specifically, we hypothesize that information extracted from a person's microblog stream(s) can be utilized to improve the accuracy with which the geographic location of the images is estimated. In this paper, we investigate this hypothesis on the example of Twitter streams and find it to be confirmed. The median error distance in kilometres decreases by up to 67% in comparison to existing state-of-the-art. The best results are achieved when tweets that were posted up to two days before and after an image was taken are considered. Moreover, we also find another type of additional information useful: population density data.
Brain and Central Nervous System Cancer Incidence in Navarre (Spain), 1973-2008 and Projections for 2014

Different studies have pointed out Navarre as one of the regions of Spain with the highest incidence rates of brain and other central nervous system (CNS) cancer. Trend analysis for cancer incidence rates for long periods of time, might help determining risk factors as well as, assessing prevention actions involved in this disease. The objective of this study was to describe the incidence of brain and CNS cancer using data from the population-based cancer registry of Navarre, (Spain) during the period 1973-2008 and provide forecast figures up to-2014. Crude and age-standardized (world population) incidence rates of brain cancer per 100,000 person-years were calculated by the direct method separately by gender, area (Pamplona and others), and age-groups. Penalized splines for smoothing rates in the temporal dimensions were applied in order to estimate and forecast cancer incidence rates. Age-adjusted incidence rates showed an increase over the study and forecast periods in both sexes more marked in women than in men. Higher incidence rates were observed in men compared with women but the differences became smaller with time. The increase was due to the rise of rates in the oldest age groups since the rates for younger age groups remained stable or decreased over time. As the entire aetiology of brain and other CNS cancer is not still clear, keep promoting healthful lifestyles for cancer primary prevention among the whole population is necessary.
Lessons learned on assumptions and scalability with time-aware instrumentation

Software instrumentation is a key technique in many stages of the development process. Instrumentation is particularly important for profiling, debugging, performance evaluation, and security analysis of real-time and embedded systems. Unfortunately, typical software-based instrumentation methods, while useful to extract high-level information from programs, concentrate on preserving only logical correctness and are thus inadequate for time-sensitive applications for which timing must also be preserved. Time-aware instrumentation is a new view on code instrumentation, one that considers extra-functional properties and specifically timing constraints of instrumented programs. Time-aware instrumentation enables instrumenting software systems while still guaranteeing their timing requirements. This paper summarizes the work on time-aware instrumentation and highlights the lessons learned on assumptions and scalability. Specifically, it shows how strict assumptions enable a strong formal model at the expense of applicability. Subsequent relaxing of assumptions then permits scaling the concept and applying it to large real-word applications with millions lines of code. We believe that these lessons may help steer other research projects in the systems area.
Diffraction and seismic tomography

SUMMARY Diffraction tomography is formulated in such a way that the data (traveltime4r waveform perturbations) are related to the medium perturbations through the sum of two terms. The first term is the ray integral of ordinary tomography and involves only phase perturbations. The additional diffraction term involves both phase and amplitude perturbations. The diffraction term is linear in the gradients of the velocity perturbation in an acoustic medium, the gradients of the elastic and density perturbations in an elastic medium, and the gradients of the boundary perturbations the wave is crossing. This formulation has the additional advantage that unwanted diffractions from the non-physical boundary of the region under study can be easily removed. Acoustic scattering, elastic scattering, and scattering by boundary perturbations are analy5ed separately. Attention is paid to the adequacy of the acoustic approximation, and to the difference between perturbations of a boundary level (topography) and perturbations of boundary conditions. These differences are irrelevant for ordinary seismic tomography. All results are based on first-order approximations (Born or Rytov), as is the case for other published methods of diffraction tomography.
Second‐by‐second measurement of acetylcholine release in prefrontal cortex

Microdialysis has been widely used to measure acetylcholine (ACh) release in vivo and has provided important insights into the regulation of cholinergic transmission. However, microdialysis can be constrained by limited spatial and temporal resolution. The present experiments utilize a microelectrode array (MEA) to rapidly measure ACh release and clearance in anaesthetized rats. The array electrochemically detects, on a second‐by‐second basis, changes in current selectively produced by the hydrolysis of ACh to choline (Ch) and the subsequent oxidation of choline and hydrogen peroxidase (H2O2) at the electrode surface. In vitro calibration of the microelectrode revealed linear responses to ACh (R2 = 0.9998), limit of detection of 0.08 µm, and signal‐to‐noise ratio of 3.0. The electrode was unresponsive to ascorbic acid (AA), dopamine (DA), or norepinephrine (NE) interferents. In vivo experiments were conducted in prefrontal cortex (PFC) of anaesthetized rats. Pressure ejections of ACh (10 mm; 40 nL) through an adjoining micropipette produced a rapid rise in current, reaching maximum amplitude in ∼1.0 s and cleared by 80% within 4–11 s. Endogenously released ACh, following local depolarization with KCl (70 mm; 40, 160 nL), was detected at values as low as 0.05 µm. These signals were volume‐dependent and cleared within 4–12 s. Finally, nicotine (1.0 mm, 80 nL) stimulated ACh signals. Nicotine‐induced signals reflected the hydrolysis of ACh by endogenous acetylcholinesterase (AChE) as inhibition of the enzyme following perfusion with neostigmine (10 µm) attenuated the signal (40–94%). Collectively, these data validate a novel method for rapidly measuring cholinergic transmission in vivo with a spatial and temporal resolution that far exceeds conventional microdialysis.
Learning Efficiently- The Deep CNNs-Tree Network

In recent years, deep feature learning has been successfully applied in many fields such as visual recognition, speech recognition, and natural language processing. Based on the recent rapid development in deep learning community, applying Convolutional Neural Network (CNN) has impacted several fields. However, the number of parameters required to develop a sophisticated large CNN model becomes a problem. We aimed at this problem and presented the Deep CNNs-Tree Network model as our solution. By clustering similar channel features in the feature maps, we were able to create a tree of CNNs and replace the original CNN layer with the proposed model. Experiments on popular image datasets, the MNIST and CIFAR-10, has shown that the proposed network achieve similar performance of accuracy when compared to the traditional CNN, and only less than 5% of accuracy loss. A reduction of more than 70% parameters was observed using the proposed method.
Journal of Graph Algorithms and Applications Approximation Algorithms for the Maximum Induced Planar and Outerplanar Subgraph Problems

The task of finding the largest subset of vertices of a graph that induces a planar subgraph is known as the Maximum Induced Planar Subgraph problem (MIPS). In this paper, some new approximation algorithms for MIPS are introduced. The results of an extensive study of the performance of these and existing MIPS approximation algorithms on randomly generated graphs are presented. Efficient algorithms for finding large induced outerplanar graphs are also given. One of these algorithms is shown to find an induced outerplanar subgraph with at least 3n/(d + 5/3) vertices for graphs of n vertices with maximum degree at most d. The results presented in this paper indicate that most existing algorithms perform substantially better than the existing lower bounds indicate.
Protein 1 Transcription Factors by Multiple I-Binding Factor 1 and X Box-Binding Targeting Positive Regulatory Domain

Huber, Hartmut Goldschmidt and Matthias TheobaldHundemer, Sandra Schneider, Susanne Strand, ChristophLiewer, Edite Antunes Ferreira, Marion Moos, Michael Carina Lotz, Sarah Abdel Mutallib, Nicole Oehlrich, Ulrikehttp://www.jimmunol.org/content/175/2/1301J Immunol€2005; 175:1301-1309; ;Referenceshttp://www.jimmunol.org/content/175/2/1301.full#ref-list-1This article cites 58 articles, 30 of which you can access for free at: Subscriptionshttp://jimmunol.org/subscriptionsInformation about subscribing to The Journal of Immunology is online at: Permissionshttp://www.aai. org/ji/copyright.htmlSubmit copyright permission requests at: Email Alertshttp://jimmunol.org/cgi/alerts/etocReceive free email-alerts when new articles cite this article. Sign up at:
Correction: Disease-Aging Network Reveals Significant Roles of Aging Genes in Connecting Genetic Diseases

An affiliation for the fourth author was not indicated. Affiliation #1 for Luonan Chen should be: Key Laboratory of Systems Biology, SIBS-Novo Nordisk Translational Research Centre for PreDiabetes, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China. Affiliations #3 and #4 are his second and third affiliation, respectively.
Intima-media Thickness and Arterial Stiffness of Carotid Artery in Korean Patients with Behçet's Disease

Behçet's disease (BD) is a systemic vasculitis involving diverse sizes of arteries and veins. We performed this study to evaluate the vascular changes by assessment of the arterial stiffness and intima-media thickness (IMT) of carotid artery in Korean patients with BD. Forty-one patients with BD and age-, and sex-matched 53 healthy subjects were recruited in this study. Carotid arterial stiffness and IMT were assessed by using high-resolution B-mode ultrasonography. Arterial stiffness parameters such as carotid arterial distensibility coefficient, stiffness index, and incremental elastic modulus (Einc) were significantly increased in BD patients compared with those in healthy subjects, but not in IMT. Positive relationship was noted between age and IMT, whereas age of onset was significantly associated with arterial stiffness in BD. This finding suggests impaired endothelial function before visible structural changes of arterial wall in BD. Age and age of onset may be an independent risk factor for carotid IMT and arterial stiffness, respectively. Further studies in more large populations are required to confirm our results.
Ray solution for near-zone electromagnetic propagation though a periodic wall

A generalized geometrical optics type locally Floquet field expansion is presented for describing the field transmitted through a plane periodic wall when it is illuminated by a nearby antenna. It is developed from a rigorous plane wave spectral integral for the field associated with this problem, and the integral is evaluated asymptotically via a double stationary phase approach. This ray expansion is potentially useful in through wall radar imaging applications. The accuracy and utility of this ray expansion will be demonstrated.
Mining the Data From Experiments onAlgorithms using Maximum Likelihood

Data mining represents an exciting information technology frontier. This paper connects statistics, computer science, and operations research using information technology as the catalyst. We examine the use of heuristic search as a basis for data mining algorithms and we demonstrate that data mining can be used to improve heuristic search algorithm performance. In summation, we describe an important data mining problem, provide a neighborhood structure for the problem, and demonstrate its value for heuristic algorithm development.
PRODUCTION OF PHOSPHATIDYLINOSITOL PHOSPHOLIPASE C BY BACILLUS SPHAERICUS

Bacillus sphaericus strains have been studied for production of an extracellular phosphatidylinositol hydrolyzing phospholipase C (PI-PLC). The enzyme activity was maximal at the end of exponential phase of growth. Specific activities of PI-PLCs secreted into the culture broth were between 0.011 and 0.038 U/mg protein. PI-PLC in the culture supernatant of Bacillus sphaericus was partial purified by 2-propanol precipitation and Sephadex G-75 gel filtration.
Unification with Flexible Arity Symbols : a Typed Approach

In this paper we extend unification of terms with flexible arity function symbols with regular expression operators such as repetition (*), alternation, etc, that are used as types allowing a compact representation of terms with functors with an arbitrary number of arguments. This new unification can then be used to unify subterms in the middle of complexes sequences of terms leading to a quite simple representation of sequences of arguments.
Field Theory and the Cohomology of Some Galois Groups

Abstract We prove that two arithmetically significant extensions of a field F coincide if and only if the Witt ring WF is a group ring Z /n[G]. Furthermore, working modulo squares with Galois groups which are 2-groups, we establish a theorem analogous to Hilbert's Theorem 90 and show that an identity linking the cohomological dimension of the Galois group of the quadratic closure of F, the length of a filtration on a certain module over a Galois group, and the dimension over F 2 of the square class group of the field holds for a number of interesting families of fields. Finally, we discuss the cohomology of a particular Galois group in a topological context.
Maternal Enrichment during Pregnancy Accelerates Retinal Development of the Fetus

The influence of maternal environment on fetal development is largely unexplored, the available evidence concerns only the deleterious effects elicited by prenatal stress. Here we investigated the influence of prenatal enrichment on the early development of the visual system in the fetus. We studied the anatomical development of the rat retina, by analyzing the migration of neural progenitors and the process of retinal ganglion cell death, which exerts a key role in sculpturing the developing retinal system at perinatal ages. The number of apoptotic cells in the retinal ganglion cell layer was analyzed using two distinct methods: the presence of pyknotic nuclei stained for cresyl violet and the appearance of DNA fragmentation (Tunel method). We report that environmental enrichment of the mother during pregnancy affects the structural maturation of the retina, accelerating the migration of neural progenitors and the dynamics of natural cell death. These effects seem to be under the control of insulin-like growth factor-I: its levels, higher in enriched pregnant rats and in their milk, are increased also in their offspring, its neutralization abolishes the action of maternal enrichment on retinal development and chronic insulin-like growth factor-I injection to standard-reared females mimics the effects of enrichment in the fetuses. Thus, the development of the visual system is sensitive to environmental stimulation during prenatal life. These findings could have a bearing in orienting clinical research in the field of prenatal therapy.
Coordinated Control of Multiple Interactive Dynamical Agents with Asymmetric Coupling Pattern and Switching Topology

This paper considers a group of mobile autonomous agents moving in the space with a virtual leader. We investigate the dynamic properties of the group for the case where the topology of the neighboring relations between agents varies with time and the coupling matrix is asymmetric. We introduce a set of switching control laws that enable the group to generate the desired stable flocking motion. The control laws are a combination of attractive/repulsive and alignment forces, and the control law acting on each agent relies on the state information of its neighbors and the external reference signal (or "virtual leader"). When the velocity damping is taken into account, we can appropriately modify the control laws to generate the same stable flocking motion. Numerical simulations are worked out to further illustrate our theoretical results
A la sombra de Sidney Tarrow: Conceptos básicos para el estudio de los movimientos de protesta

Ciclo de protesta, ola de protesta, marcos interpretativos culturales, difusion, sincronizacion, cambios de escala, repertorios de contencion, exito y fracaso de los movimientos de protesta,protests, cycles, waves, framing, diffusion, timing, scale shift, repertoires, success and failures
Texture image retrieval algorithm with dual tree complex contourlet and three statistical features

Texture image retrieval system using contourlet transform has better performance than the same structure system based on wavelet transform due to contourlet's better directional information representation than wavelet transform. In order to improve the retrieval rate further, a dual-tree complex contourlet transform based texture image retrieval system was proposed in this paper. In the system, the dual tree contourlet transform was used to transform each image into contourlet domain and implemented multiscale decomposition, sub-bands energy, standard deviations and skewness in contourlet domain were cascaded to form feature vectors, and the similarity metric used here is Canberra distance. Experimental results on brodatz test images set show that dual tree contourlet transform based image retrieval system is superior to those of the original contourlet transform, non-subsampled contourlet transform under the same system structure with almost same length of feature vectors, retrieval time and memory needed; and contourlet decomposition structure parameter can make significant effects on retrieval rates, especially scale number.
Antecedents for agency and stewardship orientation in corporate governance – The role of culture

Intended target journals: 1. Journal of Institutional and Theoretical Economics (JITE) 2. Other suggestions for rated journals are most welcome. 05-11 2 Antecedents for agency and stewardship orientation in corporate governance – The role of culture 1. Leading question Various theories exist that explain the use of boards of directors. We contrast agency and stewardship theory assumptions and use the framework of psychological and situational factors introduced by Davis, Schoorman, & Donaldson (1997) to investigate the role of culture overlap between the business (managers) and the owners (family). The aim is to determine whether high levels of culture substitute and, to some extent, postpone the installation of a board of directors. 2. Theory and model development Agency theory. Adam Smith (1776/ 2000) was among the first ones to raise concerns whether hired managers would watch over other people's money with the same vigilance as if it were their own. Later, Berle & Means (1934) described the potential sources of conflict that may result from a separation of ownership and control in the 'modern corporation' where owners have ceded their power to employed managers who exercise control on their behalf. Jensen & Meckling (1976) and later Eisenhardt (1989) have then established a formal model of these problems in agency theory. One of the underlying assumptions is that there exists goal divergence between the principal (owner) and the agent (manager). 1 The divergence of the preferences of principals and agents inherent in agency theory (also labeled " effort aversion ") necessitates measures and rewards to make sure that individuals who pursue their own self-interest will also pursue the collective interest (Eisenhardt, 1985). Executive compensation and boards of directors are common governance mechanisms in agency theory to make sure that the managers sing in tune with the owners (Davis et al., 1997: 23). " From an agency theory perspective, boards of directors are put in place to monitor managers on behalf of shareholders (Eisenhardt, 1989; Jensen & Meckling, 1976). Boards serve as fiduciaries of shareholders by monitoring management to ensure that the interests of shareholders' are pursued Stewardship Theory. Stewardship theory (Davis et al., 1997) is one alternative approach to corporate governance that we will contrast with agency theory in the following. 2 In stewardship settings, the underlying model of man leaves no room for the assumption of divergent preferences as made in agency theory. " The essential assumption underlying the prescriptions of …
Global asymptotic stabilization by output feedback for some non minimum phase non linear systems

We consider systems with well defined inverse dynamics that can be made Lp-ISS via the output. We assume also the existence of an observer providing Lp-correction terms. For such systems, by propagating the Lp-ISS property by backstepping, we are able to design a globally asymptotically stabilizing output feedback.
Dominance and Development

Dominance is the preferential expression of certain gene alleles at heterogeneous diploid loci during development. We employ genetic algorithm simulations over binary diploid individuals to observe average fitness and genetic diversity of a population under different models of dominance. We vary the extent to which dominant alleles are aligned with those that optimize fitness. Well-aligned dominance enhances genetic diversity by allowing recessive alleles to persist without negative impact on average fitness. We consider a simple adaptive dominance model as a means of automatically generating well-aligned dominance. Finally, we add developmental learning to the acquisition of a dominance pattern and compare its impact to that predicted by the Baldwin Effect.