Miracle-dz/UniFAR-FTUs huggingface dataset:
The Canada France Redshift Survey VIII: Evolution of the clustering of galaxies from z~1

We have used the projected two-point correlation function, $w(r_p)$, to investigate the spatial distribution of the 591 galaxies with secure redshifts between $0 \leq z \leq 1.3$ in the five CFRS fields. The slope of the two-point correlation function for the sample as a whole is $\gamma=1.64\pm0.05$, very similar to the local slope, and $\gamma$ is therefore not strongly evolving with redshift. However, the amplitude of the correlation function decreases strongly with increasing redshift, so that at $z\approx0.6$ it is a factor of 10 lower (for $q_0=0.5$) than for a similarly-selected local galaxy population, on scales $0.1<r<2h^{-1}$ Mpc ($q_0=0.5$). As a whole, the CFRS data is adequately represented by $r_0(z=0.53)=1.33 \pm 0.09 h^{-1}$Mpc for $q_0=0.5$, and $r_0(z=0.53)=1.57 \pm 0.09 h^{-1}$Mpc for $q_0=0$. Unless the galaxy population at high redshift is quite different from any population seen locally, an unlikely possibility, then this implies growth of clustering as described by the evolutionary parameter $\epsilon$ to be between $0 < \epsilon < +2$. No difference in the clustering of red and blue galaxies is seen at $z \geq 0.5$, although at lower redshifts, $0.2 \leq z \leq 0.5$, blue galaxies are somewhat less strongly correlated than the redder galaxies, as seen in local samples. This effect could be the equivalent for field galaxies to the Butcher-Oemler effect seen in clusters of galaxies. The cross-correlation functions between red and blue samples have comparable amplitudes to the auto-correlation functions of each. The distribution and power spectrum of pair separations does not indicate
Face identification using affine simulated dense local descriptors

In this paper, we propose a method for pose and facial expression invariant face identification using the affine simulated local descriptors. Although the currently studied approaches present the higher recognition rate for face verification, the performance of face identification are still low. The proposed method consist of four step, we first normalize the face image using the face detector and eye detector. In second step, we apply the affine simulation for synthesizing various viewed face images. In third step, we make a descriptor on the overlapping block-based grid keypoints. In final step, a probe image is compared with the reference images in a gallery by calculating the number of nearest neighbor keypoints. To improve the recognition performance, we use also the keypoint distance ratio and false matched keypoint ratio. The proposed method using the affine simulated local descriptors showed the better performance than that of cosine similarity metric learning (CSML) method in terms of true acceptance rate, false rejection rate, false acceptance rate, and Rank-1 recognition rate.
pREVISIBILIDADE DO RECOBRIMENTO RADICULAR DE RECESSÃO GENGIVAL CLASSE III DE MILLER - UMA REVISÃO DE LITERATURA Predictability of root coverage of Miller Class III gingival recessions- Review of the literature

As recessoes gengivais tem sido consideradas um dos principais objetivos da terapia cirurgica periodontal com a intencao de atingir a cobertura completa da raiz. Diversas modalidades de tratamento tem sido desenvolvidas, mas poucas tecnicas podem obter a cobertura total da raiz em uma recessao gengival classe III de Miller. A solucao para o recobrimento de superficies radiculares expostas a este nivel envolve a realizacao de um procedimento cirurgico bem executado e por um grau de previsibilidade ainda mais critico. Diante do exposto, o objetivo deste artigo foi avaliar, por meio de uma revisao de literatura, a previsibilidade e taxas de recobrimento radicular em recessoes gengivais Classe III. Os resultados dos estudos mais recentes revelaram que as taxas de sucesso de recobrimento radicular tem aumentado, proximo a 80%, semelhante as tecnicas para recessoes Classes I e II. Apesar dos poucos estudos disponiveis, tem havido uma modificacao na indicacao dos procedimentos de recobrimento radicular, modifcacao da previsibilidade da sua utilizacao e melhora dos resultados alcancados. Torna-se uma abordagem disponivel ao tratamento das recessoes gengivais com perda de insercao interdental (AU) Gingival recessions have been considered one of the main goals of periodontal surgical therapy in attempt to achieve full root coverage. Several treatment modalities have been developed, but few techniques can achieve full root coverage in a Miller class III gingival recession. The solution for the covering of exposed root surfaces at this level involves a well performed surgical procedure and a predictability even more critical. According to this, the aim of this paper was to evaluate, through a literature review, the predictability and rates for root coverage in Miller Class III gingival recessions. The results of recent studies have shown that the success rate has increased root coverage percentage, close to 80%, similar to techniques for Classes I and II gingival recessions. Despite the few studies available, there has been a change in the indication for root coverage procedures as well as the predictability of its use and the results achieved have increased. It becomes an available approach for the treatment of gingival recessions with interdental attachment loss
Deficient fear conditioning in psychopathy as a function of interpersonal and affective disturbances

The diminished fear reactivity is one of the most valid physiological findings in psychopathy research. In a fear conditioning paradigm, with faces as conditioned stimulus (CS) and electric shock as unconditioned stimulus (US), we investigated a sample of 14 high psychopathic violent offenders. Event related potentials, skin conductance responses (SCR) as well as subjective ratings of the CSs were collected. This study assessed to which extent the different facets of the psychopathy construct contribute to the fear conditioning deficits observed in psychopaths. Participants with high scores on the affective facet subscale of the Psychopathy Checklist-Revised (PCL-R) showed weaker conditioned fear responses and lower N100 amplitudes compared to low scorers. In contrast, high scorers on the affective facet rated the CS+ (paired) more negatively than low scorers regarding the CS− (unpaired). Regarding the P300, high scores on the interpersonal facet were associated with increased amplitudes to the CS+ compared to the CS−, while the opposed pattern was found for the antisocial facet. Both, the initial and terminal contingent negative variation indicated a divergent pattern: participants with pronounced interpersonal deficits, showed increased cortical negativity to the CS+ compared to the CS−, whereas a reversed CS+/CS− differentiation was found in offenders scoring high on the antisocial facet. The present study revealed that deficient fear conditioning in psychopathy was most pronounced in offenders with high scores on the affective facet. Event related potentials suggest that participants with distinct interpersonal deficits showed increased information processing, whereas the antisocial facet was linked to decreased attention and interest to the CS+. These data indicate that an approach to the facets of psychopathy can help to resolve ambiguous findings in psychopathy research and enables a more precise and useful description of this disorder.
Effect of Diet and Helicobacter pylori Infection to the Risk of Early Gastric Cancer

BACKGROUND: The association of dietary habits and Helicobacter pylori infection with early gastric cancer is still unclear. METHODS: A hospital-based case-control study was conducted in Korea. Sixty-nine patients were newly diagnosed as having early gastric cancer at the Division of Gastroenterology, Asan Medical Center, and 199 healthy subjects who visited the Health Promotion Center of the this same hospital for annual health examinations were selected as controls. Helicobacter pylori infection status was assayed by ELISA, and information for dietary habits was obtained by interview using a semi-quantitative food frequency questionnaires. Preference for salty taste was also evaluated using a sensitive test. RESULTS: H. pylori seropositivity was observed in 88% of cases, as compared with 75% of controls (OR=5.3, 95% confidence interval:1.7-16.5). Adaptive salt concentration was significantly and positively associated with early gastric cancer risk (p<0.01). Decreased risks of early gastric cancer were observed in association with intakes of clear broth, raw vegetables, fruits, fruit or vegetable juices, and soybean curds. On the other hand, a high intake of salt-fermented fish and kimchi were associated with an elevated risk of early gastric cancer. Subjects with positive H. pylori infection and a high salty preference had a 10-fold higher risk of early gastric cancer than subjects without H. pylori infection and with a low salty preference (p for interaction = 0.047). CONCLUSION: Some dietary factors and H. pylori infection are significantly associated with early gastric cancer. In particular, high-salty diets may enhance the effect of H. pylori infection in gastric carcinogenesis.
THE INFLUENCE AND THE ROLE OF POLYPHENOLS ON THE SENSORY AND ORGANOLEPTIC ASPECTS OF FOOD

A vast majority of food products found on the market contains specific, potentially toxic substances, whether those substances appeared as a result of food contamination by an exterior factor or during the production. As an examples of food contamination we can consider bacterial and fungal toxins, where the latter (mycotoxins) include some evidently mutagenic or genotoxic compounds, i.e. potentially cancerogenic compounds. Mycotoxins may enter the food chain via direct or indirect contamination. In direct contamination, the food products represent the basis for the development of toxigenic moulds (almoust all food products may represent a basis for the mould development during their production, processing and storage). Bioactive plant polyphenols are relatively well-known for their antioxidant, anti-mutagenic, anticancerogenous, anti-inflamatory, antiangiogenic, antiulcer and antimicrobial characteristics. Many plant ingredients and extracts are reported to prevent the mould development, as well as the accumulation of mycotoxins in food. In addition to their multiple biological effects, extracts containing a large amount of phenols are important for the food industry, since they decelerate the oxidative degradation of lipids, thus enhancing the quality and nutritive value of food. On the other hand, plant polyphenols affect the sensory and organoleptic aspects of food, the functional and nutritive value of the proteins contained in food, as well as its texture.
Global phylogeographic limits of Hawaii's avian malaria

The introduction of avian malaria (Plasmodium relictum) to Hawaii has provided a model system for studying the influence of exotic disease on naive host populations. Little is known, however, about the origin or the genetic variation of Hawaii's malaria and traditional classification methods have confounded attempts to place the parasite within a global ecological and evolutionary context. Using fragments of the parasite mitochondrial gene cytochrome b and the nuclear gene dihydrofolate reductase-thymidylate synthase obtained from a global survey of greater than 13 000 avian samples, we show that Hawaii's avian malaria, which can cause high mortality and is a major limiting factor for many species of native passerines, represents just one of the numerous lineages composing the morphological parasite species. The single parasite lineage detected in Hawaii exhibits a broad host distribution worldwide and is dominant on several other remote oceanic islands, including Bermuda and Moorea, French Polynesia. The rarity of this lineage in the continental New World and the restriction of closely related lineages to the Old World suggest limitations to the transmission of reproductively isolated parasite groups within the morphological species.
Facial expressions: Discriminability of facial regions and relationship to biometrics recognition

Facial expressions result from movements of muscular action units, in response to internal emotion states or perceptions, and it has been shown that they decrease the performance of face-based biometric recognition techniques. This paper focuses in the recognition of facial expressions and has the following purposes: 1) confirm the suitability of using dense image descriptors widely known in biometrics research (e.g., local binary patterns and histogram of oriented gradients) to recognize facial expressions; 2) compare the effectiveness attained when using different regions of the face to recognize expressions; 3) compare the effectiveness attained when the identity of subjects is known/unknown, before attempting to recognize their facial expressions.
Association between Telomere Length and Type 2 Diabetes Mellitus: A Meta-Analysis

Background Several epidemiological studies have examined the association between shortened telomere length and type 2 diabetes mellitus (T2DM), while the results remained conflicting. We conducted a meta-analysis to derive a more precise estimation of the relationship between them. Methods We systematically reviewed the databases of PubMed, EMBASE, and Web of Science for all studies on the association between telomere length and T2DM. We conducted this study assessed by STATA 11.0. Data were summarized using random-effects or fixed-effects meta-analysis. The heterogeneity and publication bias among studies were examined by using χ2-based Q statistic test and Egger’s test, respectively. Results Nine cohorts consisting of 5759 cases and 6518 controls were selected into the meta-analysis. The results indicated that shortened telomere length was significantly associated with T2DM risk (OR: 1.291; 95% CI: 1.112, 1.498; P<0.001) with heterogeneity (I2 = 71.6%). When three cohorts responsible for the heterogeneity were excluded, the pooled OR for the remaining cohorts indicated a significant association between shortened telomere length and T2DM (OR: 1.117; 95% CI: 1.002, 1.246; P = 0.045) without heterogeneity. Conclusion We found a statistically significant association between shortened telomere length and T2DM.
Emotions and Activity Profiles of Influential Users in Product Reviews Communities

Viral marketing seeks to maximize the spread of a campaign through an online social network, often targeting influential nodes with high centrality. In this article, we analyze behavioral aspects of influential users in trust-based product reviews communities, quantifying emotional expression, helpfulness, and user activity level. We focus on two independent product review communities, Dooyoo and Epinions, in which users can write product reviews and define trust links to filter product recommendations. Following the patterns of social contagion processes, we measure user social influence by means of the k-shell decomposition of trust networks. For each of these users, we apply sentiment analysis to extract their extent of positive, negative, and neutral emotional expression. In addition, we quantify the level of feedback they received in their reviews, the length of their contributions, and their level of activity over their lifetime in the community. We find that users of both communities exhibit a large heterogeneity of social influence, and that helpfulness votes and age are significantly better predictors of the influence of an individual than sentiment. The most active of the analyzed communities shows a particular structure, in which the inner core of users is qualitatively different from its periphery in terms of a stronger positive and negative emotional expression. These results suggest that both objective and subjective aspects of reviews are relevant to the communication of subjective experience.
Lateral Guidance & Control Design for an Unmanned Aerial Vehicle

Abstract This paper presents guidance and control design for a UAV, and its six degrees-of-freedom nonlinear simulation results. The paper focuses on the lateral control and guidance aspects; longitudinal control aspects will be addressed separately in another paper. An introduction to the lateral mission, and guidance problem is given first. Waypoints for straight and turning flight paths are defined. Computation of various flight path parameters is discussed, including formulae for down-range (distance travelled along the desired track), cross-track deviation and heading error of the vehicle; these are then used in the lateral guidance algorithm. The lateral guidance law is then presented, followed by the design of a multivariable H ∞ controller for roll control and stability augmentation. The controller uses the ailerons and rudder for control. The reference roll angle is provided by the guidance law. The sensors available on-board the vehicle do not measure yaw-rate, hence a practical method of its estimation is proposed. The entire guidance and control scheme is implemented on a full nonlinear six degrees-of-freedom simulation of the vehicle. Simulation results are presented and discussed.
Towards Trustworthy Resource Scheduling in Clouds

Managing the allocation of cloud virtual machines at physical resources is a key requirement for the success of clouds. Current implementations of cloud schedulers do not consider the entire cloud infrastructure neither do they consider the overall user and infrastructure properties. This results in major security, privacy, and resilience concerns. In this paper, we propose a novel cloud scheduler which considers both user requirements and infrastructure properties. We focus on assuring users that their virtual resources are hosted using physical resources that match their requirements without getting users involved with understanding the details of the cloud infrastructure. As a proof-of-concept, we present our prototype which is built on OpenStack. The provided prototype implements the proposed cloud scheduler. It also provides an implementation of our previous work on cloud trust management which provides the scheduler with input about the trust status of the cloud infrastructure.
Effective Superpotentials, Geometry and Integrable Systems

We consider the effective superpotentials of N=1 SU(N_c) and U(N_c) supersymmetric gauge theories that are obtained from the N=2 theory by adding a tree-level superpotential. We show that several of the techniques for computing the effective superpotential are implicitly regularized by 2N_c massive fundamental quarks, i.e. the theory is embedded in the finite theory with nontrivial UV fixed point. In order to study N=1 and N=2 theories with fundamentals, we explicitly factorize the Seiberg-Witten curve for N_f ! = 0 and compare to the known form of the N=1 superpotential. N=2 gauge theories have an underlying integrable structure, and we obtain results on a new Lax matrix for N_f = N_c.
Critical performance of a new breath alcohol analyzer for screening applications

In screening applications there is a need for improved breath alcohol analyzers. Accuracy, specificity, usability, and through-put are critical to the device performance. Objective: To characterize the critical performance of a new contactless breath alcohol analyzer. Methods: The device is characterized by measurements using artificial breath gas and human subjects. Breath sampling is performed in ambient air using carbon dioxide as a biomarker. Results: Resolution and inter-individual variation, response time, and specificity were shown to meet the requirements of industrial standards. The feasibility of contactless measurement was demonstrated. Conclusions: The new device exhibits sufficient performance in moderately diluted breath samples. Further work is underway to reach the objective of unobtrusive breath alcohol analysis.
Effect of side of lesion on neuropsychological performance in childhood stroke

The purpose of the current study was to examine the effect of side of lesion on neuropsychological performance in childhood stroke. While laterality effects have been shown fairly consistently in adults who have experienced stroke, results from studies on children who have experienced childhood stroke are not as clear. Numerous methodological differences between previous studies on laterality effects in childhood stroke make it difficult to draw overall conclusions regarding laterality findings. The current study aimed to study a single group of children who experienced stroke in childhood across a number of cognitive domains. The participants were 13 children/adolescents with left hemisphere lesions and 16 children/adolescents with right hemisphere lesions, with a range of onset from prenatal to 13 years. All participants were administered a broad battery of neuropsychological tests including tests of intelligence, achievement, language skills, visuospatial skills, memory, and executive functioning. No significant differences were found between the groups on any of the measures and the calculated effect sizes were small for all but one of the measures examined. These results have implications for a greater understanding of the ability of the young brain to reorganize after childhood stroke. (JINS, 2004, 10, 698–708.)
Energy Measurement for the Cloud

One of the aims of cloud-based services is to offer cost savings through elastic service provision. This elasticity refers to use of resources by the customer and the provision of resources by the provider. An increasingly important resource to consider is energy (or power). As cloud services are intended to be ‘always on’ the energy costs of cloud service provision is already significant, and will continue to rise as global energy prices continue to rise and more users make use of cloud services. While providers can invest in energy-efficient hardware, how can we make users (customers) energy-aware, and incentives users towards energy-efficient use of cloud systems? Clearly, being able to measure actual energy usage will allow the provision of suitable feedback to users, as well as enable new energy-aware systems metrics that allow systems management policies to become responsive to energy usage. We list the requirements and described a prototype for such an energy measurement system.
Sensor-based simultaneous localization and mapping — Part I: GAS robocentric filter

This paper presents the design, analysis, and experimental validation of a sensor-based globally asymptotically stable (GAS) filter for simultaneous localization and mapping (SLAM) with application to uninhabited aerial vehicles (UAVs). The SLAM problem is first formulated in a sensor-based framework, without any type of vehicle pose information, and modified in such a way that the underlying system structure can be regarded as linear time varying for observability, filter design, and convergence analysis purposes. Thus, a Kalman filter follows naturally with GAS error dynamics that estimates, in a robocentric coordinate frame, the positions of the landmarks, the velocity of the vehicle, and the bias of the angular velocity measurement. The online inertial map and trajectory estimation is detailed in a companion paper and follows from the estimation solution provided by the SLAM filter herein presented. The performance and consistency of the proposed method are successfully validated experimentally in a structured real world environment using a quadrotor instrumented platform.