Miracle-dz/UniFAR-FTUs huggingface dataset:
Aplicação de programação genética na análise de sentimentos

A Web e comumente utilizada como plataforma para debates, opinioes, avaliacoes, etc. Esses dados permitiram que a area de Analise de Sentimentos (AS) se desenvolvesse para extrair informacoes e conhecimentos que possam ser utilizados em diferentes aplicacoes. Entre os desafios da AS, destacam-se a criacao de classificadores com boa eficacia. Normalmente, os modelos de classificacao gerados sao heuristicas especificas, manualmente definidas e pouco adaptaveis a diferentes contextos. Assim, o presente trabalho propoe a geracao automatizada de classificadores de sentimentos hibridos – utilizando tecnicas de Aprendizado de Maquina (AM) e dicionarios lexicos – com o uso da Programacao Genetica (PG). Com isso, espera-se reduzir o custo de geracao dos classificadores e aumentar o poder de predicao para cada dominio analisado. A intencao e que esses classificadores sejam competitivos com os algoritmos classicos empregados na area de AS, generalizaveis, adaptaveis ao contexto e capazes de determinar a relevância de cada um dos dicionarios lexicos ao dominio aplicado. Alem disso, a ideia e que seja possivel a agregacao de outras tecnicas de AM para a geracao de solucoes hibridas ainda mais eficazes. Para validar a proposta, foi utilizado o benchmark SemEval 2014 e os resultados mostram que a abordagem de geracao automatizada com a PG e promissora, pois os modelos gerados sao competitivos e, algumas vezes, superiores aos de outros trabalhos da literatura. A combinacao dos classificadores em um comite mostrou-se eficaz ao aumento do poder de predicao do sistema, obtendo resultados superiores a utilizacao das tecnicas individualmente. Por fim, destaca-se a capacidade de customizacao dos modelos de acordo com o contexto abordado e a possibilidade de transferencia de conhecimento dos usuarios por meio das funcoes utilizadas pela PG.
Effect of Adjunctive Raloxifene Therapy on Severity of Refractory Schizophrenia in Women: A Randomized Clinical Trial.

IMPORTANCE A substantial proportion of women with schizophrenia experience debilitating treatment-refractory symptoms. The efficacy of estrogen in modulating brain function in schizophrenia has to be balanced against excess exposure of peripheral tissue. Raloxifene hydrochloride is a selective estrogen receptor modulator (mixed estrogen agonist/antagonist) with potential psychoprotective effects and fewer estrogenic adverse effects. OBJECTIVE To determine whether adjunctive raloxifene therapy reduces illness severity in women with refractory schizophrenia. DESIGN, SETTING, AND PARTICIPANTS This 12-week, double-blind, placebo-controlled, randomized clinical trial with fortnightly assessments was performed at an urban tertiary referral center and a regional center from January 1, 2006, to December 31, 2014. Participants included 56 women with schizophrenia or schizoaffective disorder and marked symptom severity despite substantial and stable antipsychotic doses. Data were analyzed using intention to treat as the basis. INTERVENTIONS Adjunctive raloxifene hydrochloride, 120 mg/d, or placebo for 12 weeks. MAIN OUTCOMES AND MEASURES The primary outcome was the change in the Positive and Negative Syndrome Scale (PANSS) total score. Clinical response (defined as a ≥20% decrease in PANSS total score from baseline) and change in PANSS subscale scores, mood, cognition, reproductive hormone levels, and adverse events were also assessed. RESULTS Of the 56 participants (mean [SD] age, 53 [7.7] years; age range, 40-70 years; mean [SD] duration of psychotic illness, 24 [11] years), 26 were randomized to raloxifene and 30 were randomized to placebo. Raloxifene produced a greater reduction in the PANSS total score relative to placebo (β = -6.37; 95% CI, -11.64 to -1.10; P = .02) and resulted in an increased probability of a clinical response (hazard ratio, 5.79; 95% CI, 1.46 to 22.97; P = .01). A significant reduction was found in the PANSS general symptom scores for the raloxifene compared with the placebo (β = -3.72; 95% CI, -6.83 to -0.61; P = .02) groups. For patients who completed the full 12-week trial, there was not a statistically significant treatment effect on PANSS positive symptom scores (β for change in raloxifene vs placebo, -1.92; 95% CI, -3.83 to 0.00; P = .05). Change in mood, cognition, and reproductive hormone levels and the rate of adverse events did not differ between groups. CONCLUSIONS AND RELEVANCE Raloxifene hydrochloride, 120 mg/d, reduces illness severity and increases the probability of a clinical response in women with refractory schizophrenia. This large trial of raloxifene in this patient population offers a promising, well-tolerated agent that has potential application in clinical practice. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00361543.
Load-balanced user association and resource allocation under limited capacity backhaul for small cell networks

Recently, the centralized management in small cell (SC) networks enabled by the existence of a central controller and backhaul links is developed to meet the growing data demand. The effect of load-balancing under the considerations of limited capacity backhaul and co-channel interference is investigated in this paper. Our main goal is to maximize energy efficiency (EE) in SC network through a joint decision strategy consists of user association and radio resource allocation with quality-of-service (QoS) support. To tackle this mixed combinatorial optimization problem, a load-balanced user association and radio resource allocation (LB-UARA) mechanism based on the quantum-behaved particle swarm optimization algorithm is proposed. Simulation results demonstrate that the objectives of QoS satisfaction and energy conservation can be realized via load-balancing procedure in our proposed LB-UARA mechanism.
A comprehensive study on sentiment of Bengali text

Sentiment Analysis is one of the most important and challenging research topic in the field of natural language processing and opinion mining. In this article, six different approaches are discussed to determine the actual sentiment of the sentence and analyzed their performances. In parts of speech ratio method, the Parts of Speech (POS) of the queries are tagged and the POS ratio and the hamming distance between positive classifier and query and negative classifier and query are computed. To detect the sentiment more accurately, cosine similarity using TF-IDF is applied which is calculated by computing TF, DF and IDF and calculate positive vector, negative vector and query vector. In Cosine similarity using custom TF-IDF, custom POS tagger is used and TF, DF and IDF are computed. Another method with Naïve Bayes model using Uni-gram & stammer also gives good performance. In this approach, prior probability and conditional probability are calculated and the root words of the words are extracted. Naïve Bayes model using Bi-gram, stammer and normalizer is better than the other models. The last method discussed is Word Embedding with Hellinger PCA which presents the idea of word co-occurrence matrix and Skip-Gram to determine the actual contexts of the words, Hellinger PCA to determine most similar words and generate a sliding window of most probable context words around each word.
Regulatory effects of mTORC2 complexes in type I IFN signaling and in the generation of IFN responses

IFNs transduce signals by binding to cell surface receptors and activating cellular pathways and regulatory networks that control transcription of IFN-stimulated genes (ISGs) and mRNA translation, leading to generation of protein products that mediate biological responses. Previous studies have shown that type I IFN receptor-engaged pathways downstream of AKT and mammalian target of rapamycin complex (mTORC) 1 play important roles in mRNA translation of ISGs and the generation of IFN responses, but the roles of mTORC2 complexes in IFN signaling are unknown. We provide evidence that mTORC2 complexes control IFN-induced phosphorylation of AKT on serine 473 and their function is ultimately required for IFN-dependent gene transcription via interferon-stimulated response elements. We also demonstrate that such complexes exhibit regulatory effects on other IFN-dependent mammalian target of rapamycin-mediated signaling events, likely via engagement of the AKT/mTORC1 axis, including IFN-induced phosphorylation of S6 kinase and its effector rpS6, as well as phosphorylation of the translational repressor 4E-binding protein 1. We also show that induction of ISG protein expression and the generation of antiviral responses are defective in Rictor and mLST8-KO cells. Together, our data provide evidence for unique functions of mTORC2 complexes in the induction of type I IFN responses and suggest a critical role for mTORC2-mediated signals in IFN signaling.
GPU-based visualization techniques for 3D microscopic imaging data

Three-dimensional (3D) microscopic imaging techniques such as confocal microscopy have become a common tool in measuring cellular structures. While computer volume visualization has advanced into a sophisticated level in medical applications, much fewer studies have been made on data acquired by the 3D microscopic imaging techniques. To optimize the visualization of such data, it is important to consider the data characteristics such as thin data volume. It is also interesting to apply the new GPU (graphics processing unit) technology to interactive volume rendering of the data. In this paper, we discuss several texture-based techniques to visualize confocal microscopy data by considering the data characteristics and with support of GPU. One simple technique generates one set of 2D textures along the axial direction of image acquisition. An improved technique uses three sets of 2D textures in the three principal directions, and creates the rendered image via a weighted sum of the images generated by blending the individual texture sets. In addition, we propose a new approach based on stencil such that textures are blended based on a stencil control. Given the viewing condition, a texel needs to be drawn only when its corresponding projection on the image plane is inside a stencil area. Finally, we have explored the use of multiple-channel datasets for flexible classification of objects. These studies are useful to optimize the visualization of 3D microscopic imaging data.
Emotional Intelligence Relates to Well-Being: Evidence from the Situational Judgment Test of Emotional Management.

BACKGROUND This research was conducted to examine whether people high in emotional intelligence (EI) have greater well-being than people low in EI. METHOD The Situational Test of Emotion Management, Scales of Psychological Well-being, and Day Reconstruction Method were completed by 131 college students. RESULTS Responses to the Situational Test of Emotion Management were strongly related to eudaimonic well-being as measured by responses on the Scales of Psychological Well-being (r=.54). Furthermore, the ability to manage emotions was related to hedonic well-being, correlating with both the frequency of experienced positive affect and the frequency of experienced negative affect, as measured by the Day Reconstruction Method. CONCLUSION Two aspects of these results suggest a relationship between EI and well-being. First, the observed relationship between ability EI and psychological well-being is the largest reported in the literature to date. Second, this study is the first use of the Day Reconstruction Method to examine the relationship between well-being and EI. Results are discussed in terms of the potential for training emotion management to enhance well-being. Methodological advances for future research are also suggested.
A robust oblivious watermarking scheme

A robust watermarking scheme for images is proposed. The proposed method can be also be easily extended to other signals like audio and video. In the proposed method an optimal solution is obtained for maximizing the detection statistic (which is an indication of the degree of certainty with which the signature or the watermark is detected), for a given permitted distortion of the host signal, and additive noise variance. Other issues for improving the security of the watermarking scheme, like key based transforms, are also addressed.
Isolation of High-Quality DNA from a Desert Plant Reaumuria soongorica

Xiaohua Wang1, Honglang Xiao1, Xin Zhao2, Caizhi Li1, Juan Ren1, Fang Wang1 and Lei Pang1 1Key Laboratory of Ecohydrology and of Inland River Basin Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences, Lanzhou 2Extreme Stress Resistance and Biotechnology Laboratory Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences, Lanzhou PR China
Structuring Taxonomies by using Linguistic Patterns and WordNet on Web Search

Finding an appropriate structure for representing the information contained in texts is not a trivial task. Ontologies provide a structural organizational knowledge to support the exchange and sharing of information. A crucial element within an ontology is the taxonomy. For building a taxonomy, the identification of hypernymy/hyponymy relations between terms is essential. Previous work have used specific lexical patterns or they have focused on identifying new patterns. Recently, the use of the Web as source of collective knowledge seems a good option for finding appropriate hypernyms. This paper introduces an approach to find hypernymy relations between terms belonging to a specific knowledge domain. This approach combines WordNet synsets and context information for building an extended query set. This query set is sent to a web search engine in order to retrieve the most representative hypernym for a term.
Regulation of IgG antibody titers by the amount persisting of immune‐complexed antigen

Antigens normally induce an immunoglobulin (Ig)G response which stays at an elevated level for several weeks or months, constituting an important part of the immunological memory. This study investigated factors influencing the level of neutralizing IgG titers against a virus and shows that within the range tested it was independent of the number of initially available and potentially responding T helper and B cells, but was regulated by the amount of specific IgG‐immune complexes forming depots of persisting antigen. These findings support the notion that the efficiency of vaccines in inducing long‐lasting protective IgG is regulated predominantly by the amount of persisting (and presumably follicular dendritic cell‐associated) antigen‐antibody complexes.
Comparación de la efectividad en la protección de cultivos de tomates con insecticidas orgánicos a base de: ajo (allium sativum) y Nim (azadirachta indica)

Qué podemos hacer para proteger las plantas? El objetivo de esta investigación consiste en la elaboración de dos insecticidas orgánicos a base de ajo y Nim, además realizar una comparación para determinar la efectividad en el control y eliminación de insectos plagas en cultivos de tomate industrial. Dichos insecticidas son una alternativa ecológica para el medio ambiente y la salud de los productores y consumidores, debido a que no afecta el ecosistema y el producto final no contiene residuos de agroquímicos. Esta opción combina y aprovecha aquellas ventajas que brindan las plantas, a través de sus componentes y propiedades activas que son efectivas para la elaboración de insecticidas. Por su alta efectividad en el control de enfermedades tropicales, insectos y el alto rendimiento por hectáreas, composición y modo de acción. El tomate es uno de los rubros que se produce en la región, sus costos de producción son bajos, posee alta calidad nutricional en vitaminas y minerales. En sus etapas de desarrollo es afectado por numerosas plagas como minadoras, chupadoras, masticadores etc. y es atacada por enfermedades diversas debido a que los plantones están a campo abierto y su periodo de cosecha es muy largo (3 a 5 meses). El modo de acción de ambos insecticidas en estas plagas es por ingestión e inhalación. La principal sustancia presente en el extracto de las hojas de Nim es la Azadiractina la cual tiene una acción repelente contra insectos plaga y además rompe el ciclo vital impidiendo su multiplicación [1], para el caso del ajo, su principal sustancia activa para la elaboración de insecticidas es la Alina que cuando es liberada interactúa con una enzima llamada alinasa y genera la alicina que es la sustancia que genera el olor característico del ajo y con el cual los insectos son repelados de la planta infectada [2]. El proceso de la elaboración de estos insecticidas inicia con el procesamiento y la extracción de las sustancias de ambos productos; posteriormente se aplica en los plantones. Luego de la aplicación de los insecticidas se observó que los plantones afectados por los insectos, mejoraron su forma y tuvieron un mejor crecimiento. El insecticida a base de Nim tuvo un 100% de efectividad en los plantones donde fue probado, en cambio la efectividad del ajo fue de 66.7% en los plantones tratados, el modo de actuar del Nim en la planta es introduciéndose a la savia y el del ajo a través de sus raíces, concluimos que el Nim es mejor producto para la elaboración de insecticidas orgánicos.
Registration of multimodal brain images: some experimental results

Joint histogram of two images is required to uniquely determine the mutual information between the two images. It has been pointed out that, under certain conditions, existing joint histogram estimation algorithms like partial volume interpolation (PVI) and linear interpolation may result in different types of artifact patterns in the MI based registration function by introducing spurious maxima. As a result, the artifacts may hamper the global optimization process and limit registration accuracy. In this paper we present an extensive study of interpolation-induced artifacts using simulated brain images and show that similar artifact patterns also exist when other intensity interpolation algorithms like cubic convolution interpolation and cubic B-spline interpolation are used. A new joint histogram estimation scheme named generalized partial volume estimation (GPVE) is proposed to eliminate the artifacts. A kernel function is involved in the proposed scheme and when the 1st order B-spline is chosen as the kernel function, it is equivalent to the PVI. A clinical brain image database furnished by Vanderbilt University is used to compare the accuracy of our algorithm with that of PVI. Our experimental results show that the use of higher order kernels can effectively remove the artifacts and, in cases when MI based registration result suffers from the artifacts, registration accuracy can be improved significantly.
Effects of small variations of speed of sound in optoacoustic tomographic imaging.

PURPOSE Speed of sound difference in the imaged object and surrounding coupling medium may reduce the resolution and overall quality of optoacoustic tomographic reconstructions obtained by assuming a uniform acoustic medium. In this work, the authors investigate the effects of acoustic heterogeneities and discuss potential benefits of accounting for those during the reconstruction procedure. METHODS The time shift of optoacoustic signals in an acoustically heterogeneous medium is studied theoretically by comparing different continuous and discrete wave propagation models. A modification of filtered back-projection reconstruction is subsequently implemented by considering a straight acoustic rays model for ultrasound propagation. The results obtained with this reconstruction procedure are compared numerically and experimentally to those obtained assuming a heuristically fitted uniform speed of sound in both full-view and limited-view optoacoustic tomography scenarios. RESULTS The theoretical analysis showcases that the errors in the time-of-flight of the signals predicted by considering the straight acoustic rays model tend to be generally small. When using this model for reconstructing simulated data, the resulting images accurately represent the theoretical ones. On the other hand, significant deviations in the location of the absorbing structures are found when using a uniform speed of sound assumption. The experimental results obtained with tissue-mimicking phantoms and a mouse postmortem are found to be consistent with the numerical simulations. CONCLUSIONS Accurate analysis of effects of small speed of sound variations demonstrates that accounting for differences in the speed of sound allows improving optoacoustic reconstruction results in realistic imaging scenarios involving acoustic heterogeneities in tissues and surrounding media.
Use of Anti TNF-α Therapy in Systemic Vasculitis

There are several vascultic disorders still labeled as difficult-to-treat cases. Effective treatment for those patients is warranted to reduce the mortality and morbidity that resulting from these disorders. An extensive review for the literatures that addressed using of ant TNF-alpha in several vascultic disorders was conducted. Use of anti TNFalpha agents is a promising modality in several vascultic disorders. Despite lacking well-conducted randomized controlled trials, more open-label studies are required to examine in-depth the safety and efficacy of those agents.
Acute suppurative thyroiditis in an asymptomatic woman: an atypical presentation simulating thyroid carcinoma

Patients with acute suppurative thyroiditis usually have pain or tenderness in the anterior part of the neck associated with erythema and dysphagia. A 26‐year‐old Japanese woman with none of these symptoms presented with a left anterior cervical mass. Since physical examination and laboratory studies showed a firm and irregular tumour located in the left lobe of the thyroid without any inflammatory signs, we made a diagnosis of thyroid carcinoma. After surgery, histological examination of the thyroid specimen revealed various changes of severe inflammation, and a barium swallow demonstrated a left pyriform sinus fistula. We describe here a unique case of acute suppurative thyroiditis in an asymptomatic woman.
Array Pattern Synthesis With Excitation Control via Norm Minimization

Simple and efficient procedures are presented to synthesize antenna array patterns (focused or shaped beams) while controlling the excitations. This synthesis problem is of great practical interest as it makes active arrays more attractive by reducing their complexity, cost, and weight. With a proper regularization of the array pattern synthesis solution, the excitations can be optimized in order to design uniform amplitude sparse arrays, arrays whose excitations have a low dynamic range ratio or a smooth amplitude variation. More specifically, the synthesis procedures are composed of the minimization of a norm (mixed ℓ1/ℓ∞ norm, total variation norm, or a combination of the ℓ1- and ℓ∞-norms) associated with radiation pattern constraints. Various representative array synthesis problems are considered. Examples including the coupling between antennas and a comparison with a deterministic approach confirm both the usefulness and effectiveness of the proposed procedures.
Virtual TPM Dynamic Trust Extension Suitable for Frequent Migrations

This paper has presented an approach of vTPM (virtual Trusted Platform Module) Dynamic Trust Extension (DTE) to satisfy the requirements of frequent migrations. With DTE, vTPM is a delegation of the capability of signing attestation data from the underlying pTPM (physical TPM), with one valid time token issued by an Authentication Server (AS). DTE maintains a strong association between vTPM and its underlying pTPM, and has clear distinguishability between vTPM and pTPM because of the different security strength of the two types of TPM. In DTE, there is no need for vTPM to re-acquire Identity Key (IK) certificate(s) after migration, and pTPM can have a trust revocation in real time. Furthermore, DTE can provide forward security. Seen from the performance measurements of its prototype, DTE is feasible.