Miracle-dz/UniFAR-FTUs huggingface dataset:
An adaptive resonance theory-based neural network capable of learning via representational redescription

This paper introduces a neural network architecture called R2MAP, which is based on the representational redescription hypothesis in cognitive science and adaptive resonance theory (ART) neural networks. The R2MAP network learns to classify arbitrary sequences of input patterns using a re-iterative process whereby knowledge that gets embedded in the network via ARTMAP-style error-driven learning is redescribed and becomes available to it for further learning. The knowledge redescription phase is triggered when the perceived level of difficulty of the given task exceeds a certain threshold, and is achieved through the dynamic creation of new features that better distinguish between output classes. This way the R2MAP network is capable of learning complex, relational input-output dependencies that cannot be represented efficiently using solely the features extracted through ordinary learning of statistical relationships. A simple proof-of-concept example is presented to illustrate the main ideas. Some related work is also discussed.
The Relationship Between Media Multitasking and Executive Function in Early Adolescents

The increasing prevalence of media multitasking among adolescents is concerning because it may be negatively related to goal-directed behavior. This study investigated the relationship between media multitasking and executive function in 523 early adolescents (aged 11-15; 48% girls). The three central components of executive functions (i.e., working memory, shifting, and inhibition) were measured using self-reports and standardized performance-based tasks (Digit Span, Eriksen Flankers task, Dots–Triangles task). Findings show that adolescents who media multitask more frequently reported having more problems in the three domains of executive function in their everyday lives. Media multitasking was not related to the performance on the Digit Span and Dots–Triangles task. Adolescents who media multitasked more frequently tended to be better in ignoring irrelevant distractions in the Eriksen Flankers task. Overall, results suggest that media multitasking is negatively related to executive function in everyday life.
Moringa oleifera Lam. leaves prevent cyclophosphamide-induced micronucleus and DNA damage in mice rats.

Chemoprotective effect of ethanolic extract of Moringa oleifera Lam leaves was evaluated on cyclophosphamide (CP)-induced genotoxicity in the mouse. Animals were pre-treated with the extract for seven consecutive days at doses of 250, 500, 1000 and 2000 mg/kg b.w. Micronucleus in bone marrow and comet (DNA damage) in the liver were performed. Cyclophosphamide was administered intra-peritoneally on day 7 and Mice were sacrificed after 24 hours. In CP treated animals, statistically significant induction of micronuclei in polychromatic erythrocytes (PCE) was recorded. However, in the animals pre-treated with the extract, the percentage of CP-induced MN decreased with increasing concentration of the extract. Results of comet assay showed similar decrease in DNA damage in mice pre-dosed with the extract. These results point out to the presence of chemopreventive phytoconstituents in the crude extract offering protection against CP-induced genotoxicity in the mouse. Keywords: M. oleifera; Anti-genotoxic; Micronucleus assay; Comet assay; Chemoprevention.
Complex balneo-physiatric treatment in fibromyalgia: A pilot study

19 patients meeting CDC criteria for fibromyalgia (FM) were treated. The treatment consisted of warm water hydrotherapy performed in bathtub with hydrojets, dry CO2 bathes, pulsed magnetotherapy, ultrasonotherapy applying capsaicin ointment and manual techniques for 2 weeks. All the mayor fibromyalgia impact questionnaire, McGill short questionnaire and additional variables improved at high statistical significance level. Up to date the worst improvement period lasted for 4 months. The most difficult cases were those, where cervical spondylitis was diagnosed together with FM. The mechanism of action of factors applied is discussed.
Highly Defined & Improvised Recommendation System Using Social Media

Many e-commerce websites support the mechanism of social login where users can sign on the websites using their social network identities such as their Facebook or Twitter accounts. Users can also post their newly purchased products on microblogs with links to the e-commerce product web pages. Social media advertising is a multi-billion dollar market and has become the major revenue source for Facebook and Twitter. To deliver ads to potentially interested users, these social network platforms learn a prediction model for each user based on their personal interests. To meet the real-time requirement, we first propose an online retrieval strategy that finds k most relevant ads matching the dynamic context when a read operation is triggered. To avoid frequent retrieval when the context varies little, we propose a safe region method to quickly determine whether the top-k ads of a user are changed. Finally, we propose a hybrid model to combine the merits of both methods by analyzing the dynamism of news feed to determine an appropriate retrieval strategy.
The structure of a statistically steady turbulent boundary layer near a free-slip surface

The interaction between a free-slip surface with unsheared but sustained turbulence is investigated in a series of direct numerical simulations. By changing (i) the distance between the (plane) source of turbulence and the surface, and (ii) the value of the viscosity, a set of five different data sets has been obtained in which the value of the Reynolds-number varies by a factor of 4. The observed structure of the interaction layer is in agreement with current knowledge, being made of three embedded sublayers: a blockage layer, a slip layer, and a Kolmogorov layer. Practical measures of the different thicknesses are proposed that lead to a new Reynolds-number scaling based on easy-to-evaluate surface quantities. This scaling is consistent with previous proposals but makes easier the comparison between free-surface flows when they differ by the characteristics of the distant turbulent field. Its use will be straightforward in a turbulence-modeling framework.
MetaEasy: A Meta-Analysis Add-In for Microsoft Excel

Meta-analysis is a statistical methodology that combines or integrates the results of several independent clinical trials considered by the analyst to be 'combinable' (Huque'88). However, completeness and user-friendliness are uncommon both in specialised meta-analysis software packages and in mainstream statistical packages that have to rely on user-written commands. We implemented the meta-analysis methodology in an Microsoft (Excel) add-in which is freely available and incorporates more meta-analysis models (including the iterative maximum likelihood and profile likelihood) than are usually available, while paying particular attention to the user-friendliness of the package.
Influence of seismic effect of bridge piles on a subway station

As separated platform subway station structures are close to bridge piles, their analysis under static and seismic loading is required. An artificial earthquake record, generated by using Kanai-Tajimi model and trigonometric series superposition method, is used to analyze the seismic performance of the subway station structure. Different construction sequences of bridge piles and subway stations are considered in the analysis of structural seismic performance. Irrespective of the type of analysis, most of the horizontal and the vertical stresses of the subway station with existing bridge piles show a decreasing trend as compared to those without bridge piles. The stresses associated with post-constructed bridge piles increase significantly as compared to those without piles, especially in areas of stress concentrations. A parametric analysis of the distance between the subway station and the bridge pile is also conducted. The percentage increase in horizontal and vertical stress of the subway station, with post-construction pile, gradually decreases with increasing distance. However, in case of existing piles the percentage increase in stress, as a function of distance, has an inflection point.
Assessment and interpretation of bias in 2AFC stimulus comparison through chronometric analysis

Random-walk and diffusion models for two-choice comparison of paired successive or simultaneous stimuli focus on response time (RT), modeled as the time needed to reach one or the other barrier, and its relation to the response probabilities. Logit P1 = ln[P1/(1-P1)], where P1 is the probability of responding ”first greater,” can be seen as a measure of subjective stimulus difference, d. Signed response speed (SRS), ±1/RT with the sign of the response, yields another d measure. The two measures are highly correlated and, importantly, the intercept in the regression of logit P1 on mean SRS estimates the asymmetry of the starting point relative to the barriers, that is, the bias. New analyses of data from Patching, Englund, and Hellstrom (2011) show that this bias helps explain the variability of the time-and space order errors. Possible connections of the bias with the parameters in Hellstrom’s (2003) sensation-weighting (SW) model are explored.
A DNS study of aerosol and small-scale cloud turbulence interaction

Abstract. The purpose of this study is to investigate the interaction between small-scale turbulence and aerosol and cloud microphysical properties using direct numerical simulations (DNS). We consider the domain located at the height of about 2000 m from the sea level, experiencing transient high supersaturation due to atmospheric fluctuations of temperature and humidity. To study the effect of total number of particles (Ntot) on air temperature, activation and supersaturation, we vary Ntot. To investigate the effect of aerosol dynamics on small-scale turbulence and vertical air motion, we vary the intensity of turbulent fluctuations and the buoyant force. We find that even a small number of aerosol particles (55.5 cm−3), and therefore a small droplet number concentration, strongly affects the air temperature due to release of latent heat. The system comes to an equilibrium faster and the relative number of activated particles appears to be smaller for larger Ntot. We conclude that aerosol particles strongly affect the air motion. In a case of updraught coursed by buoyant force, the presence of aerosol particles results in acceleration of air motion in vertical direction and increase of turbulent fluctuations.
Production of glandular trichomes responds to water stress and temperature in silver birch (Betula pendula) leaves

Silver birch (Betula pendula Roth) allocates substantial resources to the production of glandular trichomes. If these trichomes can protect trees from temperature and water stress, their production would be expected to increase under these conditions. We studied how glandular trichome density and number in the leaves of two-year-old silver birch plantlets respond to single and combined treatments of elevated temperature (+1 °C) and three different levels of soil moisture (low, normal, and excess watering). Moreover, we quantified the seasonal variation in trichome density in mature long-shoot leaves of young, greenhouse-grown silver birches. Our results demonstrate clear differences between responses of glandular trichomes on different leaf surfaces. On the adaxial leaf surface, both drought and elevated temperature reduced the production of glandular trichomes. Interestingly, this response was absent in plants subjected to the combined treatment. Glandular trichome production on the abaxial leaf surface .
Running head : DISORDERED EATING 1 Body Image and Disordered Eating Patterns in African-American College Women Amazing

Currently, increasing scholarly attention is being given to eating disorders such as anorexia nervosa, bulimia, and binge eating. A bulk of the research on the issue has focused on Caucasian women. As a result, the body of research may be limited in its generalization to other racial and ethnic groups. This study, therefore, sought to study disordered eating among African-American college women. Two models based on research questions were tested. The first focused on how body mass index (BMI) impacted disordered eating, while the second focused on how the difference between perceived actual and ideal body image impacted disordered eating. Self-esteem was tested as a mediating factor for both models. Data were collected from a total sample of 21 African-American women from a large, private university on the east coast. Findings suggested that African-American college women had high self-esteem and a perceived actual and ideal body image that were similar. Results also demonstrated a low prevalence of eating disorders among this population, even though more than half of participants demonstrated a potential risk for developing an eating disorder. These findings have implications for counseling and student care centers by shedding light on typical attitudes about body image within this demographic and the eating behaviors that follow as a result.
The Influence of Clinical Experience and Assessment Method on the Evaluation of Child Behavior Change

This research examined how people’s ability to detect behavior change in simulated child targets is affected by their clinical experience and the assessment method they use. When using summary assessment methods that are widely employed in research and clinical practice, both inexperienced and experienced clinical staff detected changes in the overall frequency of targets’ aggressive behavior, but were not uniquely influenced by changes in targets’ reactions to social events. When using contextualized assessment methods that focused on conditional reactions, experienced staff showed greater sensitivity than novices to context-specific changes in targets’ aggressive and prosocial reactions to aversive events. Experienced staff also showed greater sensitivity to contextspecific changes in their overall impressions of change, but only for aggression. The findings show how clinically experienced judges become more attuned to if.then. contingencies in children’s social behavior, and how summary assessment methods may hamper the detection of change processes.
In silico analysis of Simple Sequence Repeats from chloroplast genomes of Solanaceae species.

The availability of chloroplast genome (cpDNA) sequences of Atropa belladonna, Nicotiana sylvestris, N. tabacum, N. tomentosiformis, Solanum bulbocastanum, S. lycopersicum and S. tuberosum, which are Solanaceae species, allowed us to analyze the organization of cpSSRs in their genic and intergenic regions. In general, the number of cpSSRs in cpDNA ranged from 161 in S. tuberosum to 226 in N. tabacum, and the number of intergenic cpSSRs was higher than genic cpSSRs. The mononucleotide repeats were the most frequent in studied species, but we also identified di-, tri-, tetra-, penta- and hexanucleotide repeats. Multiple alignments of all cpSSRs sequences from Solanaceae species made the identification of nucleotide variability possible and the phylogeny was estimated by maximum parsimony. Our study showed that the plastome database can be exploited for phylogenetic analysis and biotechnological approaches.
Leather Industry Solid Waste as Nitrogen Source for Growth of Common Bean Plants

The leather industry generates large amounts of a Cr-containing solid waste (wet blue leather). This material is classified by the Brazilian Environmental Council as a category-one waste, requiring a special disposal. The patented process Br n. PI 001538 is a technique to remove chromium from wet blue leather, with the recovery of a solid collagenic material (collagen), containing high nitrogen levels. This work aimed to evaluate the residual effect of soil application of collagen on the production of dry matter, content and accumulation of N in common bean plants (Phaseolus vulgaris L.), after the previous growth of elephantgrass (Pennisetum purpureum Schumach.) cv. Napier, as well as to quantify the mineralization rate of N in the soil. The application of collagen, at rates equivalent to 16 and 32 t , provided greater N contents in the common bean plants, indicating residual effect of these rates of application; the same was observed for the rates of 4 and 8 t , though in smaller proportions. Higher mineralization rates of N collagen occurred next to 16 days after soil incubation. During the 216 days of incubation, the treatments with collagen showed higher amounts of mineralized nitrogen.
Evolution of the Arabian Sea upwelling in the past centuries and in the future as simulated by Earth System Models

Abstract. Arabian Sea upwelling in the past has been generally studied based on the sediment records. We apply two earth system models and analyse the simulated water vertical velocity to investigate the variations of the coastal upwelling in the western Arabian Sea over the last millennium. In addition, two models with slightly different configurations are also employed to study the changes in upwelling in the 21st century under the strongest and the weakest greenhouse gas emission scenarios. With a negative long-term trend caused by the orbital forcing of the models, the upwelling over the last millennium is found to be closely correlated with the sea surface temperature, the Indian summer Monsoon and sediment records. The future upwelling under the Representative Concentration Pathway (RCP) 8.5 scenario reveals a negative trend, in contrast with the positive trend displayed by the upwelling favourable along-shore winds. Therefore, it is likely that other factors, like water stratification in the upper ocean layers caused by the stronger surface warming overrides the effect from the upwelling favourable wind. No significant trend is found for the upwelling under the RCP2.6 scenario, which is likely due to a compensation between the opposing effects of the increase in upwelling favourable winds and the stratification of the water column.
Particle Filter based Target Tracking in Wireless Sensor Networks using Support Vector Machine

Target tracking is estimating the state of moving targets using noisy measurements obtained at a single observation point or node. Particle filters or sequential Monte Carlo methods use a set of weighted state samples, called particles, to approximate the posterior probability distribution in a Bayesian setup. During the past few years, Particle Filters have become very popular because of their ability to process observations represented by nonlinear state-space models where the noise of the model can be non-Gaussian. There are many Particle Filter methods, and almost all of them are based on three operations: particle propagation, weight computation, and resampling. One of the main limitations of the previously proposed schemes is that their implementation in a wireless sensor network demands prohibitive communication capability since they assume that all the sensor observations are available to every processing node in the weight update step. In this paper, we use a machine learning technique called support vector machine to overcome this drawback and improve the energy consumption of sensors. Support Vector Machine (SVM) is a classifier which attempts to find a hyperplane that divides two classes with the largest margin. Given labeled training data, SVM outputs an optimal hyperplane which categorizes new examples. The training examples that are closest to the hyperplane are called support vectors. Using our approach, we could compress sensor observations and only support vectors will be communicated between neighbor sensors which lead to cost reduction in communication. We use LIBSVM library in our work and use MATLAB software to plot the results and compare the proposed protocol with CPF and DPF algorithms. Simulation results show significant reduction in the amount of data transmission over the network.
Aerodynamic design of a cooled cooling air system for an aero gas turbine

This paper examines the aerodynamic design requirements of a cooled cooling air system for a large, high by-pass ratio, high overall pressure ratio aero-engine. This can be broken into aerodynamic sub-systems each with their own set of requirements and challenges. A low pressure system is required to deliver air bled from the bypass duct to a heat exchanger for use as a heat sink. Similarly, a high pressure system removes a portion of the hot core engine air from a location downstream of the compressor and ducts this to-and-from the HX for cooling. This cooled air must then be returned, across the main gas path, for use in component cooling. The challenge is to design these sub-systems such that satisfactorily perform their own function whilst integrating into the existing engine architecture. This paper presents an overview of a number of studies which use CFD to explore the design space and develop appropriate designs which were subsequently experimentally validated on several isothermal test facilities. Ultimately the feasibility of designing the aerodynamic sub-systems was demonstrated and a future design strategy established.
A pragmatic acceptance of short term policies: the case of floodings in Curitiba, Brasil

This is a discussion on social vulnerability and the construction of a warning system in a broader scenario of non-fulfilled demands and increasing risks, aiming at the elaboration of public policies concerning natural disasters in urban areas. Empirical exercise takes place in the city of Curitiba, Southern Brazil. Article is based on both conceptual approaches revealing complexity of such topic as well as on risk reduction action facing natural adverse events. Case study describes a statistical procedure to identify risks and allow preparedness action taking place 24 hours before events. Urban context is that of Brazilian cities, revealing persistent spatial inequalities in the way inhabitants build, use, and transform urban compartments. Research presented can be contextualized in a scenario where adverse phenomena should deeply influence the elaboration of long term urban public policies but, according to a necessary pragmatism, also indicate emergency tailored actions. Conclusions indicate that 1. Urban management institutional framework can count on models to predict flooding impacts and reduce human and economic losses, and 2. Expertise in emergency action cannot lure the need for structural changes and long-term planning actions.
A Sliding Mode Control Strategy for Temperature Trajectory Tracking in Batch Processes

Abstract In this paper, a model-based sliding mode control strategy is suggested for temperature trajectory tracking in batch processes. The convergence property as well as the stability of the sliding mode control system is guaranteed theoretically by means of satisfying a sliding condition. Simulation results reveal that the proposed sliding mode control strategy is a simple and effective approach to batch process control, which provides robust control despite the wide range of operating conditions, plant/model mismatch, and nonlinear dynamics of the system.