Miracle-dz/UniFAR-FTUs huggingface dataset:
Preventing and Correcting Communicable and Non-Communicable Chronic Disease via Amlexanox – Dual ‘No-Nonsense’ and Inflammatory Axis Targeting

In this sequel article on Amlexanox I investigate the multi-tasking potential for this drug, a recently discovered readthrough agent with immune-modulatory properties, for management of a wide range of human diseases including ageing modeled as a disease. The focus is not only on correction or disease rescue, but also on early prevention through use of Amlexanox prophylaxis. The concept of readthrough of nonsense mutations is further explored and correlation of nonsense mutation with cancer spread and stage is examined. Many other prevalent disease processes are examined in the light of nonsense-mediated causation, for example, intellectual disability and ageing. A primary aim of my current investigation is to show that both communicable diseases (related to infections from viral and bacterial agents) as well as non-communicable diseases (such as cancer, diabetes and inherited malformations/dysfunctions) may all form suited targets for Amlexanox therapy. As such, ex vivo and in vitro studies and animal models are discussed with the overall theme being to translate positive findings into the clinic. Clearly, this would have a major benefit with management in many inherited disease states and for infectious diseases. Further, a major benefit can be predicted for acquired chronic conditions too. The long understood property of Amlexanox in immune-modulation is exploited in this analysis. By acting through part-control of the NF-kappaB transcriptional factor-inflammatory axis, Amlexanox is capable of modulating the pathophysiology of such processes as cancer, vascular disease and diabetes with obesity. Moderating the response to pathogen challenge is a focus of attention in this present investigation. This is important insofar as Amlexanox mediates inflammatory-axis regulation and host-pathogen interactions, strongly suggesting that it must be explored in this context. As a result of this, interference with this arm of the innate immune system may well have consequences in terms of exposure to certain infectious agents. Detailed animal model systems as well as formal clinical trials are definitely called for to clarify the longer-term adverse reaction this may produce in the face of pathogen exposure. Amlexanox has been clinically approved for many years and, along with other drugs with similar immune-modulating capacity, appears satisfactory for long-term usage. Therefore, in practical terms, pathogen challenge in such a context may not pose significant threat. Overall, clinical trials are universally called for in order to ascertain the full potential for this old drug presenting with some exciting ‘new tricks’. I aim to be able to purposefully ‘repurpose’ Amlexanox and add this drug into the ‘Doctor’s bag’ as a highly valuable medical adjunct to manage a wide plethora of medical conditions.
The effect of acculturation in the concordance of oral health related quality of life in Latino children and their parents

The Latino population is the fastest growing and the largest minority group in the United States comprising 16% of the population younger than 18 years of age. Yet, little is known about the effect of acculturation in oral health related quality of life in Latino children and their parents. Objective: The objective of this study was to assess the effect of acculturation in parent and child’s perceptions of the child’s oral health status and oral health related quality of life (OHRQoL) as well as the effect in the concordance between children and parents/caregivers. Method: Sixty-three Latino children between the ages of 8 and 15, and their parents were recruited from the waiting room at the University of California, San Francisco Orthodontic and Pediatric Clinics. Parent and children each separately completed the Child Oral Health Impact Profile questionnaire (COHIP) for children and COHIP for parent/caregiver. Results: Of the sixty-three children, fifteen children (23.8%) had a more negative perception of their oral health than their parents whereas twenty-three children (36.5%) had a more positive perception. In terms of agreement between children and parents, questions about oral health showed the lowest level of agreement (34.9%) and self-image questions the highest (55.6%). Conclusion: The study findings indicate that the more acculturated the child, the more negative their perception of their oral health. The level of disagreement between parent and child, underscores the importance of obtaining both the child and parent OHRQoL perceptions.
Effect of small cardamom extracts on Mutans streptococci in comparison to chlorhexidine gluconate and de-ionized water (In vitro study (

Herbs are being widely explored to discover alternatives to synthetic antibacterial agents.Small Cardamom often referred to as queen of spices because of its very pleasant aroma and taste, have a history as old as human race. Most people use cardamom as a spice and are largely unaware of its numerous health benefits. The purpose of this study was to evaluate the effect of different concentrations of water and alcoholic cardamom extracts on sensitivities, growth, and adherence of Mutans streptococci in vitro. Materials and Methods: In this study, saliva was collected from ten volunteers (College students 18-22 years). Agar well technique was used to study the sensitivities of Mutans streptococci to different concentrations of small cardamom extracts and other control agents, also the effects of small cardamom extracts on viable counts, adherence of Mutans streptococci were studied Results: According to agar well diffusion methods, both cardamom extracts were effective in inhibition of Mutans streptococci, but still weaker than chlorhexidine gluconate 0.2%. Alcoholic extracts showed higher zone of inhibition compared to the same concentration of water with high significance differences (P<0.01). The effects of 10%, 15%, and 20% of both water and alcohol extracts of small cardamom were tested on the viability counts of Mutans streptococci in vitro. Highly significant reduction in the counts of bacteria was reported of both cardamom extracts and CHX in comparison to control without agents after 24 hr. Both cardamom extracts less effective than CHX. All the concentration of water and alcohol cardamom mouth washes tested was not effective in prevention the adherence of bacteria on teeth surface in vitro, while CHX was effective in prevention the adherence of bacteria. Conclusion: Cardamom extracts were effective against Mutans streptococci, but still less than CHX. Keyword: Mutans Streptococci, Small Cardamom, Chlorhexidine, De-ionized water. (J Bagh Coll Dentistry 2013;
Twitter y la polarización del debate político:análisis del caso #objetivodeguindos y #aznara3.

This article will study how the social debate 2.0, that is to say, one that occurs in social media, specifically Twitter, is polarized on having treated topics of political, social or ideological nature. For this, an interesting field of study they are the interviews realized to Jose Maria Aznar in Antenna 3 and to Luis de Guindos in the Sixth, since due to the public relevancy of both prominent figures, there were propitiated a number of variables to analyzethe polarization of social red Twitter in addition to the participation of all the social actors.
What do beginning CS majors know

The standard “Introduction to Programming” or “CS1” course traditionally assumes that it will be, for most students, the first serious exposure to programming. For the past six years, we have queried our students, in the first weeks of class, about what they know. Results are compelling: virtually all beginning CS students have used computers for over two years, and many for ten years or more; on average, they know at least one programming language in depth; many have written significant systems. These and other measures of prior knowledge have been stable over the query period. This article analyzes both the results obtained and their pedagogical implications for courses and textbooks.
El ajuste en videojuegos: el doblaje de Assassin’s Creed Syndicate

El objetivo de este artículo es describir la localización de videojuegos desde la novedosa perspectiva del doblaje: concretamente, se centra en analizar el tipo de sincronización que presenta un videojuego de aventuras, originalmente en inglés y localizado al español peninsular.En primer lugar, se ofrece una revisión teórica de los tipos de ajuste descritos hasta ahora para cine y televisión, cuyo doblaje será el modelo sobre el que se analizará el nuevo producto audiovisual interactivo que representan los videojuegos.
Computers and Literacy: Differing Perspectives in the Social Sciences

This introduction to the symposium provides a historical and comparative background to the controversies surrounding computer literacy. In doing so, it develops the significance of this controversy within the social sciences. These discussions challenge social scientists to reconsider the role of computer-related instruction in the social sciences. But more broadly, the controversy over computer literacy embeds themes that are critical to the study of technology and society more generally. The concept itself is rooted in cultural symbols such as literacy and technology, and the debates over computer literacy reflect competing theoretical perspectives on the societal implications of commumcations and mformation technology. Keywords: literacy, computers, social impacts, technology, society.
Effects of C‐section on the human microbiota

Humans and other animals have coevolved with microbes that colonize the epithelia that covers the body’s surfaces, both outside (the skin) and inside (the invaginations and gut). As such, the composite of a vertebrate’s cells and inhabiting microbes are coined “holobiont,” meaning assemblages of different species that form ecological units (Bordenstein & Theis, 2015; Zrzavy & Skala, 1993). The immune system coevolved with the microbiota, collectively limiting microbial colonization to maintain quasisterility in the internal organs. When microbes do penetrate epithelial barriers (eg, through macroor micro-wounds) they trigger immunological responses. Furthermore, immune system failure to restrict the population growth of (even beneficial) microbes can lead to aberrant microbial growth. For example, overgrowth of Candida occurs after immune depression from radiation or chemotherapy. Microbes may also invade forbidden territories under these circumstances, leading to negative outcomes such as sepsis. It is a relatively recent discovery—with the arrival of new nucleic acid sequencing technologies—that human physiology depends on the interactions between our bodies and our coevolved microbes (microbiota), their genes (microbiome), and gene products (metabolome). The health of an individual depends on prenatal and postnatal factors, from the microbiota of the pregnant mother that may affect fetal development, to birth and postnatal exposure, to microbes that program the immune and metabolic systems and modulate development across the human life course. The immune system of humans living in urban centers has become increasingly dysfunctional over the last seven decades, with a concurrent increase in chronic disorders, such as asthma, type 1 diabetes, allergies, and obesity. These modern diseases are also associated with early-life antibiotic exposure (Clausen et al., 2016; Cox & Blaser, 2013; Cox & Blaser, 2015) and C-section birthing (Goldani et al., 2011; Martinez et al. 2017; Rusconi et al., 2017; Tamburini et al., 2016), suggesting a connection with aberrant microbiota development. This would imply that these early-life factors, which influence the microbiome, are involved in the etiology of these modern diseases.
Model Predictive Control of Six-Phase Induction Motor Drives Using Two Virtual Voltage Vectors

Finite-control set model predictive control (FCS-MPC) has been successfully applied to three-phase electric drives and has proven to bring fast dynamics and high flexibility. The extension of FCS-MPC to regulate machines with more than three phases (i.e., multiphase) presents, however, additional challenges. Leaving aside the higher computational requirements, the appearance of additional degrees of freedom requires a simultaneous current tracking in different subspaces. Hence, the accuracy in the fundamental plane needs to be accomplished with no simultaneous excitement of the secondary planes in order to avoid unacceptable inefficiencies. This paper jointly tackles the performance improvement of fundamental and secondary planes following a two-step procedure: individual virtual voltage vectors (VVs) first ensure low circulating currents and the optimal combination of two VVs provides enhanced current tracking in the fundamental plane. Comparative experimental results confirm the satisfactory performance of the proposed strategy.
ENTRAÎNEMENT DE RÉSEAUX DE NEURONES RÉCURRENTS À PULSES APPLIQUÉ À LA MODÉLISATION D'UN TISSU NEURONAL BIOLOGIQUE

Recent breakthroughs in microelectronics allow for the design of microstimulators aimed at recovering diseased body functions, by stimulating the nervous system via small implants within the human body. Particularly, partial vision may be restored for the blind according to Foerster, Dobelle and Hambrecht, who showed that cortical electrical stimulation triggers phosphenes (visual sensation of a luminous dot), and who studied the impact of stimulation parameters on the visual abilities of the created phosphenes (intensity, stability, etc.). Such experiments were run with people who were born with, but who later lost the ability to see, i.e. whose visual system had been organized and functional. Born blind people don’t have the same organization of the visual cortex, which is a problem for recovering vision. The PolySTIM microelectronics laboratory is developing a visual prosthesis to be implanted in the 4th layer of the primary visual cortex, which will allow stimulation of the neural tissue and the recording of its activity at many locations, thanks to an electrode array. It will be versatile enough to send a huge diversity of electrical signals towards the cortical cells. If visual information cannot be reproduced at the cortical level, we instead look to exploit the existing paths structured in the visual cortex. Until now, inducing other geometric shapes than dots, such as motion and color, has not been mastered. Such visual features are necessary to recover a « real » partial vision, which reproduces more than a simply pixilated version of the visual scene in front of the subject. Thus, we shall define stimulation protocols suitable for allowing the superior visual areas to interpret scenes according to what we want to represent. A stimulation protocol describes for instance the kinds of electrical signals to use and the ways to combine them with the pool of electrodes. First, we consider using pulse trains as a basis of the electrical signals to be sent to the neural cells, and we want to optimize the parameters of such pulse trains (frequency and amplitude of the pulses, duration of the trains and delays between trains).
Response To: Cyclosporine Abrogates De Novo Generation of Tregs Independently of IL‐2

1. CsA inhibits new synthesis of Foxp3 protein and the formation of NFAT:Foxp3 complex required for Treg cell programming; and 2. Humans may have a much larger pool of extrathymically generated Foxp3+ cells crucial for transplant tolerance. These authors expressed doubts that CsA could permit de novo generation of Tregs even with the rescue by exogenous IL-2/Fc. Their point is supported by our own data obtained with the Foxp3GFP knockin mice, where excessive amount of IL-2/Fc failed to revert CsA blockade on de novo generation of Tregs in vivo (2,3).
Multifrequency methods for Electrical Impedance Tomography

Multifrequency Electrical Impedance Tomography (MFEIT) is an emerging imaging modality which exploits the dependence of tissue impedance on frequency to recover images of conductivity. Given the low cost and portability of EIT scanners, MFEIT could provide emergency diagnosis of pathologies such as acute stroke, brain injury and breast cancer. Whereas time-difference, or dynamic, EIT is an established technique for monitoring lung ventilation, MFEIT has received less attention in the literature, and the imaging methodology is at an early stage of development. MFEIT holds the unique potential to form images from static data, but high sensitivity to noise and modelling errors must be overcome. The subject of this doctoral thesis is the investigation of novel techniques for including spectral information in the image reconstruction process. The aim is to improve the ill-posedness of the inverse problem and deliver the first imaging methodology with sufficient robustness for clinical application. First, a simple linear model for the conductivity is defined and a simultaneous multifrequency method is developed. Second, the method is applied to a realistic numerical model of a human head, and the robustness to modelling errors is investigated. Third, a combined image reconstruction and classification method is developed, which allows for the simultaneous recovery of the conductivity and the spectral information by introducing a Gaussian-mixture model for the conductivity. Finally, a graph-cut image segmentation technique is integrated in the imaging method. In conclusion, this work identifies spectral information as a key resource for producing MFEIT images and points to a new direction for the development of MFEIT algorithms.
Technical Efficiency and Scale Efficiency of District Hospitals

The Government of Tamil Nadu state in India has been implementing various health sector reforms (for example, expansion and upgradation of public health facilities, provision of round the clock services in selected primary health centres and continuous availability of quality medicines decentralisation) in a bid to improve efficiency in health care. However, few attempts have been made to make an estimate of the efficiency of hospitals in Tamil Nadu as well as in India till date. The objectives of this study are: (i) to estimate the relative technical efficiency (TE) and scale efficiency (SE) of a sample of public hospitals in Tamil Nadu; and (ii) to demonstrate policy implications for health sector policy makers. The Data Envelopment Analysis (DEA) approach, a well-known operations research (OR) technique for evaluating the relative efficiency of a set of similar decision making units (DMU), was used to estimate the efficiency of these hospitals. To do so we made use of the data collected from the Directorate of Medical and Rural Health Services (DMRHS) for 29 districts of Tamil Nadu in 2004–05. The output data included are outpatient visits, number of inpatients, number of surgeries undertaken, number of deliveries and number of emergency cases. The numbers of staff members and bed strength were used as input. Of the 29 hospitals, it was found that 52 per cent were technically efficient as they had relative efficiency score 1.00 and lie on the efficiency frontier, while the remaining 48 per cent were technically inefficient and can use some of the efficient hospitals as their peers to improve their efficiency. Further, the average scale efficiency among the inefficient hospitals was 81 per cent, which implies that the scale inefficient hospitals could reduce their size by 19 per cent without reducing their current output levels.
A Numerical Technique to Estimate Water Depths from Remotely Sensed Water Wave Characteristics

This paper describes a numerical technique to estimate water depths from remotely sensed water wave characteristics. Two depth inversion models have been developed based on both linear and nonlinear dispersion relations. A simplified technique to get wave height distribution from remotely sensed water surface elevations is presented. Synthetic input data are generated using a refraction-diffraction numerical model. In intermediate water depths, there is good agreement between actual and estimated depths (relative errors are of order 10%). It is shown that depth inversion using linear dispersion relation overestimates water depth near shoreline. The nonlinear model is seen to improve the inverted depth by 10% and could retrieve two-dimensional depth profile.
Creación de videotutoriales como refuerzo del aprendizaje presencial en el Área de Ingeniería de Sistemas y Automática

Este trabajo presenta una experiencia de innovación educativa llevada a cabo en asignaturas impartidas por el Dpto. de Ingeniería de Sistemas y Automática de la Universidad de Málaga en las que se imparten conceptos básicos de control automático. Dicha experiencia ha consistido en el diseño, creación y uso de una serie de videotutoriales en los que se explican estos conceptos con un formato que pretende ser atractivo, ameno y organizado. Para facilitar, propiciar y analizar el uso de los mismos, se han aprovechado las ventajas que supone su publicación en una plataforma tal como YouTube. El objetivo para el que se han concebido estos videotutoriales es reforzar el aprendizaje presencial del alumnado y fomentar su autoaprendizaje.
A Study on the Optimal Design of Polynomial Neural Networks Structure

In this paper, we propose a new methodology which includes the optimal design procedure of Polynomial Neural Networks(PNN) structure for model identification of complex and nonlinear system. The proposed PNN algorithm is based on GMDA(Group Method of Data handling) method and its structure is similar to Neural Networks. But the structure of PNN is not fixed like in conventional Neural Networks and can be generated. The each node of PNN structure uses several types of high-order polynomial such as linear, quadratic and cubic, and is connected as various kinds of multi-variable inputs. In other words, the PNN uses high-order polynomial as extended type besides quadratic polynomial used in GMDH, and the number of input of its node in each layer depends on that of variables used in the polynomial. The design procedure to obtain an optimal model structure utilizing PNN algorithm is shown in each stage. The study is illustrated with the aid of pH neutralization process data besides representative time series data for gas furnace process used widely for performance comparison, and shows that the proposed PNN algorithm can produce the model with higher accuracy than previous other works. And performance index related to approximation and prediction capabilities of model is evaluated and also discussed.