Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of new diagnostic methods in suspicious lesions of the oral mucosa.

OBJECTIVE The objective of this study was to analyse publications related to examination techniques that might improve the visualisation of suspicious lesions of the oral mucosa (ViziLite system and VELscope system) or that might facilitate the cytological identification of suspicious lesions (OralCDx). METHODS A literature search was performed, using the PubMed database and the key words "brush biopsy", "OralCDx", "ViziLite" and "Velscope", limiting the search to papers in English or Spanish published from 2002 to 2008. RESULTS According to the results of studies identified, the ViziLite system has a sensitivity of 100% and specificity ranging from 0-14.2%, the VELscope system has a sensitivity of 98-100% and specificity of 94-100% and the Oral CDx system has a sensitivity of 71.4-100% and specificity of 32-100%. CONCLUSION Clinical examination and histopathological confirmation with biopsy remain the gold standard for the detection of oral cancer. More randomised controlled studies are needed to confirm the positive cost-benefit relationship and the true usefulness of these "new diagnostic methods" in oral mucosal pathology.
compactness of transcription factor dimers Comprehensive prediction in 78 human cell lines reveals rigidity Material

Material Supplemental http://genome.cshlp. org/content/suppl/2013/05/21/gr.154922. 113.DC1. html References http://genome.cshlp. org/content/23/8/1307.full. html#ref-list-1 This article cites 50 articles, 29 of which can be accessed free at: Open Access Open Access option. Genome Research Freely available online through the License Commons Creative . http://creativecommons.org/licenses/by-nc/3.0/ License (Attribution-NonCommercial 3.0 Unported), as described at , is available under a Creative Commons Genome Research This article, published in
Wireless Sensor Networks to Characterize Photovoltaic Panels in Harsh Environmental Conditions

Wireless sensor networks are widely used in many applications like security, healthcare and defense. They have lot of design constraints in terms of power consumption, processing power etc. They have lot of applications in environmental engineering also. This paper discusses in detail about hardware, firmware and application interface design for a wireless node and base station for one such environmental application, to characterize photovoltaic panels in harsh environmental conditions. Later part of the paper discusses about the implementation of the wireless sensor node for measuring the surface temperature of the PV panel, the results of the experiment, future work and conclusion.
ASQA: Agent Supported Question Answering System

The paper describes Agent Supported Question Answering system (ASQA) that assists collaborative learning in the classroom using networked computers. When a student sends any question to the system, the supporting agent searches FAQ stored in the system or forwards the question to an another student selected, then the student can get an answer for the question. The agent in the system utilizes text mining technology and vector space model to select FAQ or students with respect to the question autonomously. The system assists not only giving an answer to the students but also giving chance of learning to students by answering the question of other students.
Um método algorítmico para operações na bolsa de valores baseado em ensembles de redes neurais para modelar e prever os movimentos dos mercados de ações

Financial time series prediction has been a hot topic in the last years. However, although many time series prediction studies focus on the exact prediction for future values, we defend that this kind of prediction is hard to apply in real scenarios, being more profitable to transform the prediction problem into a classification problem that indicates if the time series is going to raise or fall in the next period. In this work we propose a stock buy and sell method based on predictions made by two neural network ensembles adjusted for different investment profiles: one for moderate investors and another for aggressive investors. The results of these ensembles predict if certain stock will raise of fall in the next time period instead of predicting its future values, allowing the creation of buy and sell operations recommendations for the next time period. The creation of such ensembles, however, can find difficulties in the fact that each market behaves in a different manner: factors as the seasonality and the location of the stock market are determinant in the development of the appropriate neural networks. To show the efficiency of our method in different situations, it is tested exhaustively in two differents datasets: the north american (S&P 500) and brazilian (Bovespa) stock markets. Real operations were simulated in these markets and we were able to profit in 89% of the tested cases, outperforming the results of the comparative approaches in most of the cases.
Allelic diversity in alligator microsatellite loci is negatively correlated with GC content of flanking sequences and evolutionary conservation of PCR amplifiability.

Microsatellites are short tandem arrays of simple DNA sequences, having a basic repeat unit of l-5 bp (Tautz and Schlbtterer 1994). Microsatellite loci are abundant in most complex genomes (Tautz and Schliitterer 1994) and are usually highly polymorphic when the basic repeat unit is duplicated more than 10 times (Weber 1990). Alleles at a locus differ in length due to variation in the number of repeats, and slipped strand mispairing is considered to be the major mechanism by which length variants (new alleles) are generated (Levinson and Gutman 1987; Strand et al. 1993). Variation at microsatellite loci can be assayed by PCR amplification using primers complementary to unique sequences flanking specific repetitive arrays, followed by electrophoretic sizing of the PCR products (Tautz 1989). Because microsatellites are highly polymorphic and amenable to PCR, multiplex PCR, and automated scoring, they often are the molecular genetic marker of choice (e.g., Bruford and Wayne 1993). Although microsatellites occur in all eukaryotes (Tautz and SchlGtterer 1994), their distribution and overall frequency varies widely (e.g., Langercrantz, Ellegren, and Andersson 1993). Because primer development can be time-consuming and costly, many investigators attempt to use primers developed in one species to amplify orthologous loci in closely related species (e.g., Moore et al. 1991). Some of these studies show that this strategy can be quite successful, even in distantly related species (e.g., FitzSimmons, Moritz, and Moore 1995). Most such cross-species comparisons, however, have tested either a small number of primer pairs (e.g., FitzSimmons, Moritz, and Moore 1995) or a small number of taxa (e.g., Moore et al. 1991). Additionally, only loci that are polymorphic in the species from which they are developed are used in most studies. The selection and use of such loci biases cross-taxa comparisons (Ellegren, Primmer, and Sheldon 1995). In general, primers that exhibit low levels of variation, as well as those that yield complex or unclear patterns, are discarded without much investigation or hesitation. Thus, it is not known how a reasonably large random sample of microsatellite sequences evolves within a group of taxa. We have developed primers to amplify microsatellite loci from American alligators (Alligator mississippiensis). Details of the lab work will be published else-
The Classification of Stabilizer Operations over Qubits

We present a complete classification of quantum stabilizer gates in terms of the functions they generate assuming the ability to swap qubits and use ancillary workspace. Because we view these stabilizer circuits as subroutines of some general quantum computation, we insist that any ancilla qubits used during the computation must not change in an input-dependent manner. This is the first attempt at a quantum extension of the classification of reversible classical gates introduced by Aaronson et al., another part of an ambitious program to classify all quantum gate sets. The classification uses, at its center, a reinterpretation of the tableau representation of stabilizer gates to give circuit decompositions, from which elementary generators can easily be extracted. There are a total of 57 different stabilizer classes generated in this way, 30 of which arise from the single-qubit subgroups of the Clifford group. At a high level, the remaining classes are arranged according to the bases they preserve. For instance, the CNOT gate preserves the X and Z bases because it maps X-basis elements to X-basis elements and Z-basis elements to Z-basis elements. The remaining classes are characterized by more subtle tableau invariants; for instance, the T_4 and phase gate generate a proper subclass of Z-preserving gates.
New Roles for the External Globus Pallidus in Basal Ganglia Circuits and Behavior

The development of methodology to identify specific cell populations and circuits within the basal ganglia is rapidly transforming our ability to understand the function of this complex circuit. This mini-symposium highlights recent advances in delineating the organization and function of neural circuits in the external segment of the globus pallidus (GPe). Although long considered a homogeneous structure in the motor-suppressing “indirect-pathway,” the GPe consists of a number of distinct cell types and anatomical subdomains that contribute differentially to both motor and nonmotor features of behavior. Here, we integrate recent studies using techniques, such as viral tracing, transgenic mice, electrophysiology, and behavioral approaches, to create a revised framework for understanding how the GPe relates to behavior in both health and disease.
Phospholipid scramblase 1 amplifies anaphylactic reactions in vivo

Mast cells are critical actors of hypersensitivity type I (allergic) reactions by the release of vasoactive and proinflammatory mediators following their activation by aggregation of the high-affinity receptor for immunoglobulin E (FcεRI). We have previously identified Phospholipid Scramblase 1 (PLSCR1) as a new molecular intermediate of FcεRI signaling that amplifies degranulation of the rat mast cell line RBL-2H3. Here we characterized primary mast cells from Plscr1-/- mice. The absence of PLSCR1 expression did not impact mast cell differentiation as evidenced by unaltered FcεRI expression, general morphology, amount of histamine stored and expression of FcεRI signal effector molecules. No detectable mast cell deficiency was observed in Plscr1-/- adult mice. In dose-response and time-course experiments, primary cultures of mast cells (bone marrow-derived mast cells and peritoneal cell-derived mast cells) generated from Plscr1-/- mice exhibited a reduced release of β-hexosaminidase upon FcεRI engagement as compared to their wild-type counterparts. In vivo, Plscr1-/- mice were protected in a model of passive systemic anaphylaxis when compared to wild-type mice, which was consistent with an observed decrease in the amounts of histamine released in the serum of Plscr1-/- mice during the reaction. Therefore, PLSCR1 aggravates anaphylactic reactions by increasing FcεRI-dependent mast cell degranulation. PLSCR1 could be a new therapeutic target in allergy.
Translating tolerogenic therapies to the clinic – where do we stand?

Manipulation of the immune system to prevent the development of a specific immune response is an ideal strategy to improve outcomes after transplantation. A number of experimental techniques exploiting central and peripheral tolerance mechanisms have demonstrated success, leading to the first early phase clinical trials for tolerance induction. The first major strategy centers on the facilitation of donor-cell mixed chimerism in the transplant recipient with the use of bone marrow or hematopoietic stem cell transplantation. The second strategy, utilizing peripheral regulatory mechanisms, focuses on cellular therapy with regulatory T cells. This review examines the key studies and novel research directions in the field of immunological tolerance.
Niacin inhibits surface expression of ATP synthase β chain in HepG2 cells: implications for raising HDL This study was supported by grants from the Southern California Institute for Research and Education. Published, JLR Papers in Press, March 3, 2008.

Niacin is an effective agent for raising HDL, but its cellular target sites are largely unknown. We examined effects of niacin on the surface expression of ATP synthase β chain, a newly described HDL/apolipoprotein A-I (apoA-I) receptor for HDL endocytosis, in HepG2 cells. A significant amount of immunodetectable β chain was observed on the surface of HepG2 cells, which was competitively displaced by apoA-I. Niacin treatment reduced the surface expression of β chain in HepG2 cells by ∼27%, and decreased 125I-labeled HDL uptake up to ∼35%. However, nicotinamide, a niacin metabolite that does not have clinical lipid effects, exhibited weaker inhibition on the β chain cell surface expression, and failed to show inhibitory action on 125I-labeled HDL uptake. Furthermore, anti-β chain antibody significantly reduced 125I-labeled HDL uptake and abolished the inhibitory effect of niacin. Niacin did not change β chain mRNA expression. These data suggest that niacin inhibits cell surface expression of the ATP synthase β chain, leading to reduced hepatic removal of HDL protein, thus implicating a potential cellular target for niacin action to raise HDL.
A HARDWARE IMPLEMENTATION OF EIA 709.1 CONTROL NETWORKING STANDARD

Abstract This paper presents a solution for the hardware implementation of EIA-709.1 Control Networking Protocol. It is the basic protocol of LonWorks systems that is widely used for the building system and the sensor system. The EIA 709.1 protocol has been implemented at the hardware level from physical layer to network layer to reduce the computing load on the CPU. VHSIC hardware description language (HDL) has been used for the EIA-709.1 protocol. Other layers have been implemented using C programs on Intel 8051 processor. The EIA-709.1 protocol has been implemented using field programmable gate array (FPGA) technology and the commercial feasibility of the proposed solution has been performed through the communication test using the Neuron Chip of EIA-709.1 protocol. The designed EIA709.1 core is usable as one of the intellectual properties (IPs) and it is applicable to design System-on-a-Chip (SoC) for various industrial controllers.
Cuestionarios de atención espiritual en cuidados paliativos: revisión de la evidencia para su aplicación clínica

Objective: review of the more recent questionnaires assessing spiritual needs and resources in palliative care, and determine their clinical applicability in our environment. Methods: systematic review, following PRISMA guidelines, of all publications about spirituality appeared on 2015-2016. Papers had to be focused on spiritual care or spirituality assessment, based on a palliative care population, and gone through a peer review. Results: a total of 42 publications were identified, but after the evaluation of two independent observers, only 15 fulfilled the selection criteria. The selected papers were analyzed according to their characteristics, psychometric properties and applicability. Conclusions: the need of improving spiritual care in the dying process lead to the advent of many assessment and spiritual care tools. Their use has to be considered together with the clinician experience, their applicability on the cultural context and their psychometric properties.
Metric Learning as Convex Combinations of Local Models with Generalization Guarantees

Over the past ten years, metric learning allowed the improvement of numerous machine learning approaches that manipulate distances or similarities. In this field, local metric learning has been shown to be very efficient, especially to take into account non linearities in the data and better capture the peculiarities of the application of interest. However, it is well known that local metric learning (i) can entail overfitting and (ii) face difficulties to compare two instances that are assigned to two different local models. In this paper, we address these two issues by introducing a novel metric learning algorithm that linearly combines local models (C2LM). Starting from a partition of the space in regions and a model (a score function) for each region, C2LM defines a metric between points as a weighted combination of the models. A weight vector is learned for each pair of regions, and a spatial regularization ensures that the weight vectors evolve smoothly and that nearby models are favored in the combination. The proposed approach has the particularity of working in a regression setting, of working implicitly at different scales, and of being generic enough so that it is applicable to similarities and distances. We prove theoretical guarantees of the approach using the framework of algorithmic robustness. We carry out experiments with datasets using both distances (perceptual color distances, using Mahalanobis-like distances) and similarities (semantic word similarities, using bilinear forms), showing that C2LM consistently improves regression accuracy even in the case where the amount of training data is small.
Normally Regular Digraphs, Association Schemes and Related combinatorial Structures

This paper reports the characteristics of and mutual relationships between various combinatorial structures that give rise to certain imprimitive nonsymmetric three-class association schemes. Nontrivial relation graphs of an imprimitive symmetric 2-class association scheme are m ◦ Kr, (the union of m copies of the complete graph on r vertices) and its complement m ◦Kr, (the complete m-partite strongly regular graph) for some positive integers m and r. The set of nontrivial relation graphs of nonsymmetric three-class fission scheme of such a 2-class association scheme contains a complementary pair of oriented graphs of either m◦Kr or m ◦Kr depending on m and r. For suitable parameters m and r, these graphs arise from various combinatorial objects, such as, doubly regular tournaments, normally regular digraphs, skew Hadamard matrices, Cayley graphs of dicyclic groups and certain group rings. The construction and the characteristics of these objects are investigated combinatorially and algebraically, and their mutual relationships are discussed.
Appendix A. Similarity Measure

We w ish to evalu ate the sim ilarity betw een a u ser's search and a d ataset; sp ecifically, w e wish to quantify and replicate the observed u ser p ercep tion of " closeness " from Stud y 1. Our observations ind icated that u ser jud gm ents w ere not based solely on the nearest point, but also includ ed som e consid eration of the furthest extent as w ell. As mentioned in Section 3.2, our cand id ate similarity m easure ad ap ts a feature space mod el, with each search term being treated as a separate d im ension. If a search term sp ecifies a d esired d ata range and a m atching variable is found in a d ataset, w e need a measure that can provid e a similarity value that resonates with the intend ed u sers. Cognitive science has long recognized that people frequ ently use d istance as a m etap hor for similarity, includ ing interpreting tim e (and other entities) as d istance [1]. We u se a d istance-based m easu re that compares the search range to the d ata range. While w e use d istance as a basis, w e are approximating similarity, thu s, a smaller d is-tance translates to a higher score. There are many options for rep resenting the p roximity of two entities (in our case, the search term and the matching d ataset feature), with varying compu tational complexities [2]. We build on a com mon and easily-calculated d istance m easure: the minim um (and ma x-imum) d istance betw een tw o features, which can be estimated by knowing the features' bound s. We can use this m eas-ure to id entify w hether a feature is completely within the search term bound s and so is a com plete match; or w hether the two are d isjoint; or if they overlap, and , if so, by how much. Our d istance m easure for a one-d im ensional variable, such as salinity or tim e, is show n in Equations 1-4; Fig. 12 d epicts our m easure grap hically. In essence, w e regard the observation values within a d ataset as a d istribution of " d istances " from the qu ery center, with a …
A (Comparison of MM Protocols for Wireless Local Networks Based on Battery Power Consumption

- Energy eficiency is an important issue in mobile wireless networks since the batte~ lije of mobile terminals is limited. Consewation of batte~ power has been addressed using many techniques. This paper addresses energy eficiency in medium access control (MAC) protocols for wireless networks. Zhe paper develops afiamework to study the energy consumption of a MAC protocol from the transceiver usage perspective. This framework is then applied to compare the performance of a set of protocols that includes IEEE 802.11, EC-MAC, PRMA, MDR-TDMA, and DQRUMAa. The pe~ormance metrics considered are transmitter and receiver usage times for packet transmission and reception. The ari! alysis here shows thatprotocols that aim to reduce the number of contentions pe~orm better from a energy consumption perspective. The receiver usage time, howevev tends to be higher for protocols that require the mobile to sense the medium before at-tempting transmission.
Phylogenetic Shadowing of Primate Sequences to Find Functional Regions of the Human Genome

Nonhuman primates represent the most relevant model organisms to understand the biology of Homo sapiens. The recent divergence and associated overall sequence conservation between individual members of this taxon have nonetheless largely precluded the use of primates in comparative sequence studies. We used sequence comparisons of an extensive set of Old World and New World monkeys and hominoids to identify functional regions in the human genome. Analysis of these data enabled the discovery of primate-specific gene regulatory elements and the demarcation of the exons of multiple genes. Much of the information content of the comprehensive primate sequence comparisons could be captured with a small subset of phylogenetically close primates. These results demonstrate the utility of intraprimate sequence comparisons to discover common mammalian as well as primate-specific functional elements in the human genome, which are unattainable through the evaluation of more evolutionarily distant species.
Can Numerical Expressions Be Simpler? Implementation and Demostration of a Numerical Simplification System for Spanish

Information in newspapers is often showed in the form of numerical expressions which present comprehension problems for many people, including people with disabilities, illiteracy or lack of access to advanced technology. The purpose of this paper is to motivate, describe, and demonstrate a rule-based lexical component that simplifies numerical expressions in Spanish texts. We propose an approach that makes news articles more accessible to certain readers by rewriting difficult numerical expressions in a simpler way. We will showcase the numerical simplification system with a live demo based on the execution of our components over different texts, and which will consider both successful and unsuccessful simplification cases.