Miracle-dz/UniFAR-FTUs huggingface dataset:
Perfil clínico de la población con Trastorno de la Conducta Alimentaria atendida en una Unidad de Salud Mental

In this study we present results obtained from the analyses of 33 variables, grouped in: demographic, familiar antecedents, personal antecedents, disorder history, DSM-IV diagnostic and treatment, as well as the results obtained using different psicometric scales (BDI, HARS; EAT-40, BITE and BSQ) in a group of pacients with eating desorders that where attended from October 2001 to October 2002 in our Hospital. Epidemic and clinic profiles are described. We find our pacients are single young women, good performance students, mid class, their parents are married, and there is usually associated patology in other family member. With a long-term disorder evolution, and other psychiatry patology associated, they are treated in the Mental Health service or hospitalized in the Endocrinology service.
REPELLENT ACTIVITY OF ESSENTIAL OILS FROM NATIVE PLANTS AND THEIR BLEND FOR Tribolium castaneum CONTROL IN STORE GRAINS

Los aceites esenciales (EO) de 5 plantas aromaticas nativas de La Pampa, Argentina, se obtuvieron mediante hidrodestilacion y se analizaron para determinar su repelencia en adultos de Tribolium casteneum Herbst. Todos los EO probados mostraron una alta actividad de repelencia a la concentracion mas alta establecida (0.3 mg.cm 2 ). Los EO de Baccharis spartioides y Helianthus petiolaris fueron los mas eficientes, mostrando una mayor repelencia en comparacion con el control positivo estandar (DEET). A 3x101 mg.cm 2 , B. spartioides y H. petiolaris mostraron un 95% y un 92,2% de repelencia, respectivamente. La composicion quimica de los EO se analizo luego por cromatografia de gases espectrometria de masas (GCMS), se presenta la primera determinacion de la composicion quimica del EO de H. petiolaris . Finalmente, para evaluar la actividad de repelencia en “condiciones de campo” simuladas, se evaluo el comportamiento de la plaga en harina tratada. En presencia de EO H. petiolaris , el 90% de los insectos abandonaron el grano, mientras que B. spartioides indujo un 81% de emigracion. Para maximizar los rendimientos en la produccion de repelentes, se propuso una mezcla que utiliza EO limon comercial. Los resultados obtenidos muestran una diferencia significativa despues de 24 h de tratamiento, donde la repelencia de la mezcla persistio en contraste con los EO puros. Estos hallazgos presentan las mezclas de EOs de B. spartioides y H. petiolaris como alternativas prometedoras para controlar T. castaneum en granos almacenados.
Impacts of enhanced weathering on biomass production for negative emission technologies and soil hydrology

Abstract. Limiting global mean temperature changes to well below 2 ∘C likely requires a rapid and large-scale deployment of negative emission technologies (NETs). Assessments so far have shown a high potential of biomass-based terrestrial NETs, but only a few assessments have included effects of the commonly found nutrient-deficient soils on biomass production. Here, we investigate the deployment of enhanced weathering (EW) to supply nutrients to areas of afforestation–reforestation and naturally growing forests (AR) and bioenergy grasses (BG) that are deficient in phosphorus (P), besides the impacts on soil hydrology. Using stoichiometric ratios and biomass estimates from two established vegetation models, we calculated the nutrient demand of AR and BG. Insufficient geogenic P supply limits C storage in biomass. For a mean P demand by AR and a low-geogenic-P-supply scenario, AR would sequester 119 Gt C in biomass; for a high-geogenic-P-supply and low-AR-P-demand scenario, 187 Gt C would be sequestered in biomass; and for a low geogenic P supply and high AR P demand, only 92 Gt C would be accumulated by biomass. An average amount of ∼150 Gt basalt powder applied for EW would be needed to close global P gaps and completely sequester projected amounts of 190 Gt C during the years 2006–2099 for the mean AR P demand scenario (2–362 Gt basalt powder for the low-AR-P-demand and for the high-AR-P-demand scenarios would be necessary, respectively). The average potential of carbon sequestration by EW until 2099 is ∼12 Gt C (∼0.2–∼27 Gt C) for the specified scenarios (excluding additional carbon sequestration via alkalinity production). For BG, 8 kg basalt m−2 a−1 might, on average, replenish the exported potassium (K) and P by harvest. Using pedotransfer functions, we show that the impacts of basalt powder application on soil hydraulic conductivity and plant-available water, to close predicted P gaps, would depend on basalt and soil texture, but in general the impacts are marginal. We show that EW could potentially close the projected P gaps of an AR scenario and nutrients exported by BG harvest, which would decrease or replace the use of industrial fertilizers. Besides that, EW ameliorates the soil's capacity to retain nutrients and soil pH and replenish soil nutrient pools. Lastly, EW application could improve plant-available-water capacity depending on deployed amounts of rock powder – adding a new dimension to the coupling of land-based biomass NETs with EW.
AIDS and Trauma

Trauma is a significant cause of mortality (10%) worldwide and is responsible for 15% of all disability-adjusted life years (DALYs) (Murray & Lopez, 1997). Seven of the top 30 contributors to the global burden of disease are due to injury, including motor vehicle accidents, falls, war injuries, self-inflicted injuries, violence, drowning and burns. All of these injuries are seen in the trauma setting and places trauma workers at risk of exposure to blood and other body fluids. The relevance of HIV and trauma is increasing as the global prevalence of HIV continues to rise. Sixty million have been infected with HIV since the beginning of the epidemic and 25 million have died of HIV-related causes (UNAIDS, 2009). Of those newly infected, 40% were young people the group most likely to be involved in trauma.
Chemical kinetics, Markov chains, and the imaginary Itô interpretation

The abstract chemical reaction $$ A+A \to \emptyset, $$ understood as a Markov chain in continuous time, has been studied in the physical literature for several years. It has been claimed that this reaction can be described by means of the stochastic differential equation $$ d \phi = - \phi^2 dt + i \, \phi \, dW_t, $$ where $i$ is the imaginary unit. This affirmation is, at least, intriguing, and has led to controversy and criticisms in the literature. The goal of this work is to give partial evidence that such a description may be possible.
Dimeric Lea (Lea-on-Lea) status of ß-haptoglobin in sera of colon cancer, chronic inflammatory disease and normal subjects

The glycosyl epitope dimeric Lea (Lea-on-Lea), defined by mouse monoclonal antibody NCC-ST-421, was identified previously as tumor-associated antigen, expressed highly in various human cancer tissues and cell lines derived therefrom, but with minimal expression in various normal tissues. In the present study, we observed clearly higher expression of this epitope, defined by ST421, in ß-haptoglobin (ß-Hap) from sera of patients with colorectal cancer, compared to normal, healthy subjects or patients with chronic inflammatory processes (Crohn's disease, ulcerative colitis). We focused, therefore, on biochemical characterization of glycosyl epitope status expressed in ß-Hap. We concluded that the dimeric Lea epitope is carried by O-linked but not by N-linked structure, based on the following observations: i) Treatment of ß-Hap with ·-L-fucosidase reduced its reactivity with ST421, but did not affect its reactivity with anti-Hap antibody. In contrast, treatment of purified ß-Hap with PNGase F, which releases N-linked glycans, had no effect on reactivity with ST421, but changed molecular mass from 40 kDa to 30 kDa. ii) Strong reactivity of Colo205 supernatant with ST421 was reduced clearly by preincubation of cells with benzyl-·-GalNAc.
Manual Lymph Drainage as a Complex Decongestive Therapy for Upper Limb Lymphedema After Breast Cancer Operation

Objective We aim to explore the clinical effect of manual lymph drainage as a complex decongestive therapy on improving upper limb lymphedema after breast cancer operation. Methods Manual lymph drainage was performed on 28 patients with lymphedema after receiving breast cancer operation. Circumference measurement was done at transverse palmar crease, transverse carpal crease, 10cm below transverse cubital crease, 10 cm above transverse cubital crease and 20 cm above transverse cubital crease at the first day before treatment and 1 day, 1 week, 2 weeks and 3 weeks after treatment. The movement of shoulder joints, pain and numbness of patients were recorded. Results After 3 weeks of manual lymph drainage, the circumference at transverse palmar crease, transverse carpal crease, 10cm below transverse cubital crease, 10 cm above transverse cubital crease and 20 cm above transverse cubital crease was significantly lower than that before treatment. The detumescence of the middle segment of forearm (10 cm below transverse cubital crease) was better than that of the middle segment of upper arm (10 cm above transverse cubital crease) and the superior segment of upper arm (20 cm above transverse cubital crease) with a significant difference (P<0.05). After the treatment of manual lymph drainage, the life quality of patients improved greatly and there was a significant difference (P<0.05). Conclusion Manual lymph drainage as a complex decongestive therapy for lymphedema after breast cancer operation is safe, effective and thus well worth clinical application.
Classification of Mobile Services and Apps through Physical Channel Fingerprinting: a Deep Learning Approach

The automatic classification of applications and services is an invaluable feature for new generation mobile networks. Here, we propose and validate algorithms to perform this task, at runtime, from the raw physical channel of an operative mobile network, without having to decode and/or decrypt the transmitted flows. Towards this, we decode Downlink Control Information (DCI) messages carried within the LTE Physical Downlink Control CHannel (PDCCH). DCI messages are sent by the radio cell in clear text and, in this paper, are utilized to classify the applications and services executed at the connected mobile terminals. Two datasets are collected through a large measurement campaign: one labeled, used to train the classification algorithms, and one unlabeled, collected from four radio cells in the metropolitan area of Barcelona, in Spain. Among other approaches, our Convolutional Neural Network (CNN) classifier provides the highest classification accuracy of 99%. The CNN classifier is then augmented with the capability of rejecting sessions whose patterns do not conform to those learned during the training phase, and is subsequently utilized to attain a fine grained decomposition of the traffic for the four monitored radio cells, in an online and unsupervised fashion.
Towards a Framework for ICTs Integration in Teacher Education in India

Teachers can only effectively integrate technology in their instruction if they are themselves knowledgeable about the technology. In India, several researches have pointed out challenges hindering effective integration of ICTs in teacher education programme that raise the questions: What is missing in the teacher education and training curriculum? Is there skill training and maintenance for teachers? Do the teacher training institutions have the necessary infrastructure for ICT integration? This paper reports on the findings of a study that attempted to respond to these questions and suggests a possible framework for the successful implementation of teacher training programmes that make advantageous use of appropriate ICTs. It suggests that seven fundamental principles of good practice should be addressed for such programmes to be effective: a shift from an emphasis on ‘education for ICT’ to the use of ‘ICT for education’; an integration of ICT practice within the whole curriculum; a need for integration between pre-service and in-service teacher training; a need for the development of relevant and locally produced content; a need for appropriate educational partnerships; accepting a practice driven approach; and an emphasis on the development of sustainable costing models. Build on modern notions of teaching-learning activities, the paper concludes with a proposed course of action to leverage the real benefits of ICTs for teacher education in India.
(T, N)-Threshold Quantum State Sharing Scheme Of An Arbitrary One-Qutrit Based On Linear Equation

: In the current research, quantum states sharing are very effective technique to increase the security of a highly sensitive information being transmitted among remote parties. The present work proposes a novel and efficient (t, n)-threshold quantum state sharing scheme which is developed on qutrits using linear equation. Since the proposed scheme has an increased probability of detecting an attacker during the transmission of secret information, therefore the proposed scheme is very efficient and enough secure against PNS attack, intercept and resend attack, and participant attack also that are the possible attacks on the proposed scheme.
ClsGAN: Selective Attribute Editing Based On Classification Adversarial Network

Attribution editing has shown remarking progress by the incorporating of encoder-decoder structure and generative adversarial network. However, there are still some challenges in the quality and attribute transformation of the generated images. Encoder-decoder structure leads to blurring of images and the skip-connection of encoder-decoder structure weakens the attribute transfer ability. To address these limitations, we propose a classification adversarial model(Cls-GAN) that can balance between attribute transfer and generated photo-realistic images. Considering that the transfer images are affected by the original attribute using skip-connection, we introduce upper convolution residual network(Tr-resnet) to selectively extract information from the source image and target label. Specially, we apply to the attribute classification adversarial network to learn about the defects of attribute transfer images so as to guide the generator. Finally, to meet the requirement of multimodal and improve reconstruction effect, we build two encoders including the content and style network, and select a attribute label approximation between source label and the output of style network. Experiments that operates at the dataset of CelebA show that images are superiority against the existing state-of-the-art models in image quality and transfer accuracy. Experiments on wikiart and seasonal datasets demonstrate that ClsGAN can effectively implement styel transfer.
The determinants of crypto currency price: the case of Bitcoin

This study examines the relationship between the determinants that will affect on the price formation of Bitcoin from period year 2016 Aug 2 to 2018 May 30, which consist of daily data of 239 observations. A theoretical framework is constructed to test on the relationship between the Bitcoin Price determinants with the independent variables which are computational power of Bitcoin miners (hash rate), gold prices, velocity of Bitcoin in circulation (demand-supply fundamentals) and the price of Ethereum as a substitution coin. Autoregressive Distributed Lag (ARDL) is adapted to test on the long run relationship between the determinants. Besides, causality direction, dynamic stability and shocks of the empirical model are examined in this study.
Membrane Technology for Water and Wastewater Management and Application in Egypt

M (MBR) technology has become a key component in water reclamation schemes due to the possibility of providing water of high quality,(e.g. as particlefree permeate from membrane bioreactors, removal of microbiological contaminants). Besides, it is a cost-effective technique to obtain a remediated effluent. In Egypt, we are in stringent need to boost water recycling applications for the target area as well as in other regions of the world. It has been used for various treatment applications for more than 30 years. Membrane costs have declined; successfully; by an order of magnitude over the past two decades. The MBR process was demonstrated to be cost-effective over conventional water reclamation systems for urban irrigation and water reuse.
The Einstein dual theory of relativity

{This paper is a comparison of the Minkowski, Einstein and Einstein dual theories of relativity. The dual is based on an identity relating the observer time and the proper time as a contact transformation on configuration space, which leaves phase space invariant. The theory is dual in that, for a system of $n$ particles, any inertial observer has two unique sets of global variables $({\bf{X}}, t)$ and $({\bf{X}}, \tau)$ to describe the dynamics. Where ${\bf{X}}$ is the (unique) canonical center of mass. In the $({\bf{X}}, t)$ variables, time is relative and the speed of light is unique, while in the $({\bf{X}}, \tau)$ variables, time is unique and the speed of light is relative with no upper bound. The two sets of particle and Maxwell field equations are mathematically equivalent, but the particle wave equations are not. The dual version contains an additional longitudinal radiation term that appears instantaneously with acceleration, does not depend on the nature of the force and the Wheeler-Feynman absorption hypothesis is a corollary. The homogenous and isotropic nature of the universe is sufficient to prove that a unique definition of Newtonian time exists with zero set at the big bang. The isotopic dual of $\R$ is used to improve the big bang model, by providing an explanation for the lack of antimatter in our universe, a natural arrow for time, conservation of energy, momentum and angular momentum. This also solves the flatness and horizon problems without inflation. We predict that radiation from a betatron (of any frequency) will not produce photoelectrons, that matter and antimatter are gravitationally repulsive and that data from distant sources does not have a unique physical interpretation. We provide a table showing the differences between the Minkowski, Einstein and dual versions of the special theory. }
Almost politically acceptable criminal justice risk assessment

In criminal justice risk forecasting, one can prove that it is impossible to optimize accuracy and fairness at the same time. One can also prove that it is impossible optimize at once all of the usual group definitions of fairness. In the policy arena, one is left with tradeoffs about which many stakeholders will adamantly disagree. In this paper, we offer a different approach. We do not seek perfectly accurate and fair risk assessments. We seek politically acceptable risk assessments. We describe and apply to data on 300,000 offenders a machine learning approach that responds to many of the most visible charges of "racial bias. " Regardless of whether such claims are true, we adjust our procedures to compensate. We begin by training the algorithm on White offenders only and computing risk with test data separately for White offenders and Black offenders. Thus, the fitted algorithm structure is exactly the same for both groups; the algorithm treats all offenders as if they are White. But because White and Black offenders can bring different predictors distributions to the white-trained algorithm, we provide additional adjustments if needed. Insofar are conventional machine learning procedures do not produce accuracy and fairness that some stakeholders require, it is possible to alter conventional practice to respond explicitly to many salient stakeholder claims even if they are unsupported by the facts. The results can be a politically acceptable risk assessment tools.
Star formation at the Galactic Centre: coevolution of multiple young stellar discs

Studies of the Galactic Centre suggest that in situ star formation may have given rise to the observed stellar population near the central supermassive black hole (SMBH). Direct evidence for a recent starburst is provided by the currently observed young stellar disc (2–7 Myr) in the central 0.5 pc of the Galaxy. This result suggests that star formation in galactic nuclei may occur close to the SMBH and produce initially flattened stellar discs. Here, we explore the possible build-up and evolution of nuclear stellar clusters near SMBHs through in situ star formation producing stellar discs similar to those observed in the Galactic Centre and other nuclei. We use N-body simulations to model the evolution of multiple young stellar discs and explore the potential observable signatures imprinted by such processes. Each of the five simulated discs is evolved for 100 Myr before the next one is introduced in the system. We find that populations born at different epochs show different morphologies and kinematics. Older and presumably more metal-poor populations are more relaxed and extended, while younger populations show a larger amount of rotation and flattening. We conclude that star formation in central discs can reproduce the observed properties of multiple stellar populations in galactic nuclei differing in age, metallicity, and kinematic properties.
Rumble: data independence when data is in a mess

This paper introduces Rumble, an engine that executes JSONiq queries on large, heterogenous and nested collections of JSON objects, leveraging the parallel capabilities of Spark so as to provide a high degree of data independence. The design is based on two key insights: (i) how to map JSONiq expressions to Spark transformations on RDDs and (ii) how to map JSONiq FLWOR clauses to Spark SQL on DataFrames. We have developed a working implementation of these mappings showing that JSONiq can efficiently run on Spark to query billions of objects into, at least, the TB range. The JSONiq code is concise in comparison to Spark's host languages while seamlessly supporting the nested, heterogeneous datasets that Spark SQL does not. The ability to process this kind of input, commonly found, is paramount for data cleaning and curation. The experimental analysis indicates that there is no excessive performance loss, occasionally even a gain, over Spark SQL for structured data, and a performance gain over PySpark. This demonstrates that a language such as JSONiq is a simple and viable approach to large-scale querying of denormalized, heterogeneous, arborescent datasets, in the same way as SQL can be leveraged for structured datasets. The results also illustrate that Codd's concept of data independence makes as much sense for heterogeneous, nested datasets as it does on highly structured tables.
Exhaled nitric oxide and serum IgE in children admitted to a pediatric department

Background . Exhaled nitric oxide (FeNO) is a noninvasive marker to assess airway inflammation in adults and children, but the clinical evidence is still equivocal. Methods . We aimed to assess the FeNO levels in children admitted to our pediatric department and to correlate the results with other diagnostic tools. We enrolled two groups of children aged 5 to 16 yrs: first (149 cases, M/F 89/60) - admitted for asthma, and the control group (100 cases, M/F 55/45), without known history of atopy. We measured the FeNO (using Niox Mino, Aerocrine, Sweden), total and specific serum Ig E. The statistical analysis was done using the Chi-squared test. Results . We found a statistical significant difference in specific IgE levels between the two groups: p = 0,01; RR = 3,76 (0.99 - 14,25), but similar values for FeNO (p = 0,19) and the total serum IgE (p = 0,59). Total IgE over 300 kU/l was correlated with high FeNO levels recorded in the asthmatic children: p = 0,009; RR = 4,28 (1,37 – 15,44), but the exhaled NO was not correlated with stage, gender nor controller therapy (corticoids and/or leucotriene inhibitors or none). Discussions . In our patients the role of FeNO in monitoring asthma is still uncertain. The correlation with high total serum Ig E (also nonspecific) may be a future approach in increasing the value for the clinical use.