Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Pomegranate on Postmenopausal Syndrome: A Randomized, Double-blind, Placebo-controlled Trial

Objectives: To investigate the safety and effect of pomegranate extract on postmenopausal syndrome. Methods: One hundred twelve women participated in a randomized, double-blind, placebo-controlled trial conducted in a tertiary university hospital in Korea. Women were treated with pomegranate extract or placebo for 12 weeks. The primary end point was menopausal symptoms, which were evaluated based on the Kupperman Index. The secondary end point was the serum estradiol (E2, pg/ml) level. Statistical analysis was performed. Results: Menopausal symptoms as the Kupperman Index were significantly improved in the pomegranate group compared to placebo during the 12 weeks of intervention (P < 0.0001). Melancholia did not differ between the two groups. There was also no difference in serum E2 levels. There were no differences between the two groups in age, body weight, height, systolic and diastolic blood pressures, serum white and red blood cell counts, and fasting blood glucose, hemoglobin, aspartic transaminase, alanine transaminase, total cholesterol, triglycerides, highand low-density lipoprotein-cholesterol, creatinine, and E2 levels. The side effects of pomegranate extract were negligible. Conclusion: Pomegranate extract is safe and effective in the treatment of menopausal symptoms. Further studies on whether or not the beneficial effect of pomegranate extract is due to the estrogen component are needed. (J Korean Soc Menopause 2010;16:99-106)
Exploring Distinct Features for Automatic Short Answer Grading

Automatic short answer grading is the study field that addresses the assessment of students’ answers to questions in natural language. The grading of the answers is generally seen as a typical classification supervised learning. To stimulate research in the field, two datasets were publicly released in the SemEval 2013 competition task “Student Response Analysis”. Since then, some works have been developed to improve the results. In this context, the goal of this work is to tackle such task by implementing lessons learned from the literature in an effective way and report results for both datasets and all of its scenarios. The proposed method obtained better results in most scenarios of the competition task and, therefore, higher overall scores when compared to recent works.
Tuberculosis incidence in Karachi: A spatio-temporal analysis

Records of WHO and International Union against TB and lung diseases have described the TB situation in Pakistan as one of the worst in the world. Karachi is the mega city of Pakistan and facing innumerable problems. The Government of Pakistan launched TB control program with the help of WHO all over Pakistan. The Karachi authorities were facilitated with TB diagnosis equipments and financial support to existing public and private health centres, and NGOs to enable them to conduct free TB tests of suspected patients. The purpose of the present study is to use exploratory disease mapping to determine salient spatial patterns through GIS applications and demarcate the concentration zones of tuberculosis patients in the study area. The spatial analysis had revealed that the number of patients recorded at TB diagnosis centers of Karachi had gradually increased during the study period of 2010 to 2013 except in 2012 when there was a decrease in number. The spatial analysis had also indicated that the majority of patients belonged to low income groups and resided in kacchi abadies. This spatio-temporal analysis suggests a number of remedial measures the government can take to ameliorate the existing TB conditions in Karachi including utilizing health GIS as an effective tool in risk area assessment, improving accessibility of patients and delimitation of BMUs. Keywords: epidemiology, Karachi, lung diseases, spatial analysis, TB, temporal analysis
Das Abtastverfahren der Interferogramme des flugzeuggetragenen Fourierspektrometers MIPAS-STR

The MIPAS-STR (Michelson Interferometer for Passive Atmospheric Sounding -STRatospheric aircraft) is a cryogenic Fourier transform spectrometer for measuring thermal emission of atmospheric species in the mid-infrared spectral range. It is operated on board of the Russian high-altitude aircraft M-55 GEOPHYSICA. Two-dimensional distributions of volume mixing ratios of various trace gases are measured by limb sounding. To optimize the horizontal resolution of the two-dimensional distributions, only one interferogram is measured at each tangent height. The measurement strategy requires low-noise interferograms and measurements that are insensitive to vibrations of the aircraft. The present thesis deals with the effects of vibrations on the MIPAS-STR interferometer and the minimization of perturbations in the spectrum using a novel time-equidistant sampling method for the interferograms. Vibrations of the optical components of the interferometer lead to velocity variations of the optical path difference. In case of different time delays in the IR and reference laser detection chains, sampling errors of the IR interferogram and consequently so-called ghost lines in the spectrum occur. The new sampling method allows for a correction of the electric delay, as a result of which the formation of ghost lines is suppressed. The sampling method was investigated in three steps for its capability of reducing the ghost lines for a given harmonic velocity variation by changing the electric time delay. First, the interpolation filter, i.e. the central part of the sampling system, was tested numerically. In a second step, the interferometer electronics was investigated using signal generators simulating the interferograms. The final test setup yielded - for a velocity variation of 25% - at the optimum time delay ghost amplitudes of 2.0. 10 - 4 relative to the amplitude of the original line. In the third step, the complete MIPAS-STR was tested. By using a diode laser as infrared source, the ghost lines were easily identified and a signal-to-noise ratio of about 4000 was achieved. Tests of the system with a velocity variation of 25% resulted in relative ghost amplitudes of 1.0% at the optimum time delay. In contrast to the theory, the amplitudes of the two first-order ghost lines were different in the magnitude spectra. To understand this observation, the theory of ghost lines was further developed and tested with the program GHOST_SIM. It was found, that the remaining ghost amplitudes observed in the test of the complete MIPAS-STR were caused by slightly differing velocity variations during the sampling of the IR- and reference laser interferograms (phase modulation of 2nd kind). The unequal magnitudes of the two first-order ghost lines were explained by a combination of 2nd kind phase modulation and an amplitude modulation induced by the frequency-dependent amplitude response of the signal chain. In particular the investigations of the complete MIPAS-STR will allow to considerably increase the sensitivity of the instrument.
Adaptación y validación del Cambridge Examination for Mental Disorders of Older People with Down's Syndrome and Others with Intellectual Disabilities (CAMDEX-DS) en población española con discapacidad intelectual

Introduccion. La demencia causada por la enfermedad de Alzheimer afecta comunmente a la poblacion adulta con sindrome de Down. Esta poblacion presenta dos rasgos clinicos caracteristicos: la presencia de demencia con semiologia distinta a la enfermedad de Alzheimer tipica y deficits intelectuales previos que pueden confundir el diagnostico clinico. Existe una evidente necesidad de validar instrumentos especificos en castellano adaptados a esta poblacion. Objetivo. Adaptar y validar el Cambridge Examination for Mental Disorders of Older People with Down´s Syndrome and Others with Intellectual Disabilities (CAMDEX-DS) en poblacion espanola. Pacientes y metodos. Se consideraron 146 pacientes con discapacidad intelectual (leve-moderada). Se realizo un estudio de validacion de tipo observacional, transversal y multicentrico. Se administraron los siguientes tests: CAMDEX-DS, test breve de inteligencia de Kaufman y Dementia Questionnaire for Persons with Mental Retardation. Se calculo la fiabilidad test-retest, la fiabilidad interjueces, la concordancia del CAMDEX-DS para el diagnostico clinico y la validez. Resultados. La fiabilidad test-retest e interjueces obtuvo un coeficiente kappa de 0,92 y 0,91, respectivamente. El indice kappa del CAMDEX-DS para el diagnostico clinico respecto al resto de los criterios clinicos utilizados fue alto: CAMDEX-DS frente a DSM-IV (kappa = 0,95; p < 0,001); CAMDEX-DS frente a Clasificacion Internacional de Enfermedades, decima revision (kappa = 0,97; p = 0,000). Todas las correlaciones item-test oscilaban entre 0,31 y 0,69. La fiabilidad interna calculada mediante el alfa de Cronbach fue de 0,93. Conclusiones. La version espanola del CAMDEX-DS es un instrumento valido, de alta aplicabilidad a personas con discapacidad intelectual, que muestra buenas propiedades psicometricas. El Cambridge Cognitive Examination for Older Adults with Down´s Syndrome (CAMCOG-DS) permite establecer dos puntos de corte para la sospecha de deterioro cognitivo en el grupo de personas con sindrome de Down en funcion del nivel de discapacidad intelectual previo.
The effects on the antimicrobial properties of Hoshino's triple antibiotic paste when chlorhexidine gluconate (0.12%) is substituted for the propylene glycol and macrogol ointment mixture

The purpose of this in vitro agar-diffusion study was to evaluate the effect on the antimicrobial efficacy of Hoshino’s triple antibiotic paste when 0.12% chlorhexidine gluconate is substituted for the traditional propylene glycol and macrogol ointment carrier solution. Ciprofloxacin (200 mg), metronidazole (500 mg), and minocycline (100 mg), were mixed with either chlorhexidine or a 1:1 combination of propylene glycol and macrogol ointment. Seven microorganisms, including: E. coli, P. aeruginosa, S. aureus, E. faecalis, S. sanguis, F. nucleatum, and C. albicans, were incubated and plated onto triplicate blood agar plates. Two blank paper discs were positioned onto each agar plate, one saturated with chlorhexidine and the three antibiotics, and the other containing propylene glycol/macrogol ointment and the antibiotics. After appropriate incubation, a blinded, independent observer measured the zones of inhibition around each disc. Mixtures containing chlorhexidine showed significantly larger zones of inhibition in every trial (p<.004, ANOVA test). Control plates with chlorhexidine only, or propylene glycol and macrogol ointment only (no antibiotics added), further exhibited the antimicrobial properties of chlorhexidine, and the lack thereof for propylene glycol/macrogol ointment. In conclusion, substituting 0.12% chlorhexidine gluconate for propylene glycol and macrogol ointment as the carrier in Hoshino’s triple antibiotic paste increased the antimicrobial efficacy of the mixture.
Problemas resueltos de fisiología vegetal

Resultado de muchos anos de experiencia, se recoge aqui una serie de problemas resueltos que abarcan casi todos los problemas de la disciplina con grados variables de dificultad y estan dirigidos a las ensenanzas basicas de Fisiologia Vegetal de nuestras facultades y Escuelas. Se acompanan diversos apendices sobre abreviaturas, constantes, unidades, factores de conversion y formulas de utilidad en la resolucion de problemas y de la investigacion.
New School, New Job, New Life: Supporting the Transition of Student Affairs Graduate Assistants

Student affairs professionals have a responsibility for the professional development of graduate assistants (GAs) in the department as these positions are marketed as first professional positions. While prior literature has addressed the transition of graduate students into graduate school, there is little about the transition process for students with graduate assistantships in student affairs. Student transitions are important as they may set the tone for their first professional experience and ongoing professional development. Four key themes emerged from the voices of the graduate student participants in this study as they described their transition process into a GA position. First, they viewed the GA experience as a professional opportunity. Second, their sense of belonging was dependent on their perceived contribution to the department or division. Third, relationships mattered as they navigated the transition into their GA role. And finally, self agency (individual action) was apparent as they became engaged in their own success.
The implementation impact of Continuous Quality Improvement (CQI) on teacher perceptions of CQI categories

School districts and administrators across the country are struggling to meet the mandates of the No Child Left Behind (NCLB) Education Act. The mandates and expectations of meeting adequate yearly progress as spelled out by NCLB were clear and the pressure was placed squarely on the shoulders of administrators and educators across the nation. This study was an implementation evaluation of the Continuous Quality Improvement (CQI) process, within three schools within a large urban school district, in southern Missouri. The goal of the study was to measure what, if any, change occurred in the perceptions of teachers within the buildings that had implemented CQI as compared to the year prior to CQI implementation and as compared to similar buildings that had not implemented CQI. The study concentrated on teachers’ perceptions of the seven characteristics of CQI: Leadership, Strategic Planning, Student/Stakeholder Focus, Information and Analysis, Faculty/Staff Focus, Process Management, and Results; while utilizing data from the Missouri School Improvement Staff Survey. An implementation evaluation was chosen due to the school district being very early in its stages of CQI deployment and to ascertain the extent which implementation has changed teacher perceptions.
Sparse low-rank separated representation models for learning from data

We consider the problem of learning a multivariate function from a set of scattered observations using a sparse low-rank separated representation (SSR) model. The model structure considered here is promising for high-dimensional learning problems; however, existing training algorithms based on alternating least-squares (ALS) are known to have convergence difficulties, particularly when the rank of the model is greater than 1. In the present work, we supplement the model structure with sparsity constraints to ensure the well posedness of the approximation problem. We propose two fast training algorithms to estimate the model parameters: (i) a cyclic coordinate descent algorithm and (ii) a block coordinate descent (BCD) algorithm. While the first algorithm is not provably convergent owing to the non-convexity of the optimization problem, the BCD algorithm guarantees convergence to a Nash equilibrium point. The computational cost of the proposed algorithms is shown to scale linearly with respect to all of the parameters in contrast to methods based on ALS. Numerical studies on synthetic and real-world regression datasets indicate that the proposed SSR model structure holds significant potential for machine learning problems.
A machine translation model inspired by code generation

In this paper we present our machine translation model that is based on bilingual linguistic phrases and their lexical attributes. Developed model partly arises from our previous work in the field of Generative Programming, and the working prototype was made for Croatian-French and French-Croatian translation. The model is aimed for the general language domain, but it is so far mostly trained for some limited domains like cooking recipes, weather forecast and user manuals for different devices. The proposed model was evaluated according to the matched phrases and by using the BLEU machine translation evaluation method.
MediBot: Um chatbot para consulta de riscos e informações sobre medicamentos

A automedicação sem orientação médica pode vir a acarretar pro- blemas de saúde por meio da intoxicação. O objetivo deste estudo consiste em apresentar MediBot - um chatbot para consulta de informações sobre medica- mentos e seus riscos. O MediBot permite a realização de consultas através de linguagem natural, transformado-as em consultas SPARQL sobre um Lin- ked Data Mashup envolvendo dados sobre medicamentos providos pelas fontes ANVISA e Sider. Por fim, MediBot apresenta-se como instrumento oportuno na promoção do acesso à informação por parte do público geral.
Packet Collision Reduction Scheme for LTE V2X Sidelink Communications

Vehicle-to-everything (V2X) communications is one of key to further developing intelligent transport systems. In 2017, the long-term evolution V2X (LTE V2X) was specified as Release 14 of the 3rd generation partnership project (3GPP) and has attracted significant attention. In addition to uplink/downlink communications, LTE V2X supports direct communications that are referred to as sidelink (SL). Since SL communications are expected to be used to actualize road safety use cases, its reliability must be investigated. This paper proposes a SL transmission scheme that reduces the rate of packet collisions due to concurrent resource reselection by other sets of user equipment (UEs). In the proposed scheme, a UE that is going to conduct resource reselection in the next transmission performs pre-resource selection, and then notifies other UEs of the resources virtually reserved by that UE. Effectiveness of the proposed scheme is verified by computer simulation.
Object Tracking Using Vision on Raspberry Pi

Object tracking is an important task in several computer vision applications. Optical flow is one of the most widely used techniques in the image processing and video analysis fields. This paper implements an object tracking algorithm based on optical flow method to be computed by Raspberry Pi microcomputer. A Lucas–Kanade method has been used to calculate the velocity vector of the moving object between two consecutive frames. Two experiments are performed to evaluate the robustness of the proposed algorithm by the new computing device. The results were encouraging to use the proposed framework on wide variety of real time application.
Cooperative Transmission in Integrated Terrestrial-Satellite Networks

Satellite networks are able to provide seamless services for ground users with wide coverage, which is intrinsically suitable for providing broadcasting or multicasting services. While terrestrial networks have experienced rapid development in recent years, in next generation communications, the architecture of integrated terrestrial-satellite networks is promising to enable users to seamlessly access all types of services. In this article, we investigate the problem of cooperative transmission in integrated terrestrial-satellite networks, where two cases of unicast transmission and multicast transmission are discussed separately. Overall, this article aims to provide a comprehensive discussion and also propose a general framework of cooperative transmission in future terrestrial- satellite networks.
Cigarette smoke extract-induced injury in alveolar cells in model systems

109 Introduction 111 Materials and Methods 112 Materials 112 Animals 112 Reagents and assay kits 113 Methods 113 Cell culture 113 Cigarette smoke extract standardization 113 Experimental set-up and design 114 DNA isolation, purification and determination of relative telomere length 114 RNA isolation, purification and gene expression array 115 Statistical Analysis 116 Results 116 Cigarette smoke extract exposure shortens telomeres of neonatal AT I cells but does not shorten the telomeres of young and old AT I cells 116 Telomere gene expression profiling data provides clues into age-related differences 116 Discussion 124
Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks

Global optimization of aerodynamic shapes requires a large number of expensive CFD simulations because of the high dimensionality of the design space. One means to combat that problem is to reduce the dimension of the design space—for example, by constructing low dimensional parametric functions (such as PARSEC and others)—and then optimizing over those parameters instead. Such approaches require first a parametric function that compactly describes useful variation in airfoil shape—a non-trivial and error-prone task. In contrast, we propose to use a deep generative model of aerodynamic designs (specifically airfoils) that reduces the dimensionality of the optimization problem by learning from shape variations in the UIUC airfoil database. We show that our data-driven model both (1) learns realistic and compact airfoil shape representations and (2) empirically accelerates optimization convergence by over an order of magnitude.
Improving Word meaning representations using Wikipedia categories

In this paper we extend Skip-Gram and Continuous Bag-of-Words Distributional word representations models via global context information. We use a corpus extracted from Wikipedia, where articles are organized in a hierarchy of categories. These categories provide useful topical information about each article. We present the four new approaches, how to enrich word meaning representation with such information. We experiment with the English Wikipedia and evaluate our models on standard word similarity and word analogy datasets. Proposed models significantly outperform other word representation methods when similar size training data of similar size is used and provide similar performance compared with methods trained on much larger datasets. Our new approach shows, that increasing the amount of unlabelled data does not necessarily increase the performance of word embeddings as much as introducing the global or sub-word information, especially when training time is taken into the consideration.
Évolution de l'estime de soi chez les enfants qui bégaient, d'âge scolaire, dans le cadre d'une prise en charge orthophonique

Si le trouble de la fluence est le signe majeur du begaiement, la part emotionnelle est fortement liee a ce trouble. L’estime de soi, est une composante importante de la construction de soi et se developpe durant l’enfance, or c’est une notion peu etudiee. Le but de notre etude etait de montrer que la prise en charge orthophonique, centree sur le begaiement, pourrait ameliorer l’estime de soi. Nous avons inclus neufs enfants qui begaient âges de 6,3 a 10,3 ans. L’evolution de l’estime de soi a ete analysee, apres un an de prise en charge, via l’Inventaire d’Estime de Soi de Coopersmith. Nos resultats ont montre que l’estime de soi totale a augmente pour 44% de la population, mais de maniere non significative. L’estime de soi sociale a diminue, significativement, apres un an de reeducation (66% de baisse, p=0.02). Une correlation negative, non significative, entre le nombre de seance et l’augmentation de l’estime de soi a ete mise en avant par l’etude. L’âge influence negativement l’estime de soi. Nos resultats ont mis en exergue un lien entre un environnement familial fragile et une baisse de l’estime de soi. Ces tendances sont a prendre en compte par les orthophonistes, cela permet d’enrichir les seances et ainsi d’ameliorer la qualite de vie de ces patients. Ce protocole pourrait etre repris dans d’autres etudes avec une cohorte plus importante et/ ou comprenant un temps d’etude plus long.