Miracle-dz/UniFAR-FTUs huggingface dataset:
Polymorphism of FOXO3a Gene and Its Association with Incidence of Asthma in Iraqi Patients

Asthma is common polygenic multifactorial inflammatory disorder influenced by genetic and environmental factors characterized by inflammation of airways leading to obstruction, coughing and wheezing in response to an allergen or inorganic pollutions. FOXO3a (Forkhead Box O3) is a gene plays a vital role in the etiology of asthma disease. The objective of this study is to investigate an association of single nucleotide polymorphism SNP of the FOXO3a (rs 13217795, C˃T transition) gene with asthma susceptibility in adults of some Iraqi patients. study consists of two groups: fifty asthma patients (28 female and 22 male) and twenty five apparently healthy as a control group (9 female and 16 male). The age of the samples ranged from 20-60 years old. Recruited from the Alzahra’a Center for Asthma Allergy in Baghdad during the period extended from October /2017 to last February /2018. The DNA purity ranged between 1.8-1.9 and the concentration of DNA between 40-120 ng / μl. Then fragments targeted of FOXO3a gene (rs13217795 C>T) were amplified by polymerase chain reaction (PCR). Then Restriction Fragment Length Polymorphism (RFLP) technique was used to determined SNP (rs13217795) polymorphism by using Cci I restriction enzyme. Samples from control and patients group were sent for DNA analysis sequencing. TT not appeared in the sequencing.The highest rate of asthma was in the 40 to 60 age group. As for gender, the females ratio was higher than the males. Most patients have a family history of asthma. Most patients with asthma were in the autumn. The results were revealed that SNP (rs 13217795) of FOXO3a gene with Polymorphism of CT genotype in the control group was significantly higher than in patients group (80 % versus 50%, respectively). And persons with the CT genotype in the patient group were significantly higher than those with the CC genotype. While, the percentage of those with TT Polymorphism genotype in the patient’s group were showed highly significant difference as compared with control group (28 % versus 0 %, respectively). The Allele frequency C in the patients and control group shows 47.00% versus 60.00%, respectively. While Allele frequency T in the patients and control group shows 53.00% versus 40.00%, respectively. These results indicated that the polymorphism of C˃T (rs 13217795) of FOXO3a gene was associated with the developing Asthma in this studied sample. In conclusion, the T allele variant of FOXO3a gene (rs 13217795) polymorphism may be associated with increased susceptibility of the development of asthma in Iraqi patients.
Cocina virtual para ayudar en la rehabilitación de personas con lesiones cerebrales mediante entrenamiento en una actividad cotidiana

Las personas con discapacidad cognitiva o lesiones cerebrales sufren dificultades para desplazarse, planificar, comunicarse o realizar tareas tan comunes como vestirse o asearse. En este articulo se describe un sistema de ayuda a la rehabilitacion para este tipo de pacientes que emplea Realidad Virtual (RV). En este sistema, los pacientes interactuan con el escenario virtual 3D de una cocina y se plantean actividades tipo preparacion de la lista de la compra, para favorecer la rehabilitacion cognitiva y fisica. Con estas actividades se potencian capacidades como la memoria, la atencion y la psicomotricidad simultaneamente. El control del escenario se realiza mediante una interfaz natural de usuario basada en gestos, por lo que no es necesario ningun tipo de entrenamiento. Una vez concluida la actividad, el sistema genera informes automaticos de actividad que permiten a los terapeutas evaluar el progreso de los pacientes. En pruebas realizadas con pacientes reales con este sistema, los terapeutas indicaron una motivacion y afan de superacion mayor en los pacientes, que cuando se empleaban ejercicios convencionales.
Model Based Trajectory Planning Using Preview

The control of manipulators is seen here as a two level process. A method is described to convert information available at the programming level into trajectories suitable to be tracked by a servo control system. The goal of the servo is to absorb the unmodeled dynamics. Tracking accuracy will depend mainly on the acceleration demand of the nominal trajectory setpoint, in particular, the actuator output demand must remain bounded. Our scheme adaptively takes into consideration at the trajectory computation level the dynamics of the underlying system, dynamically available information acquired through sensors, various types of constraints, such as path accuracy, and manipulator optimization. This scheme is meant to be implemented on-line, to drive mechanical systems such as manipulators. It is developed in the context of a multi-manipulator programming and control environment for space applications developped as part of a collaborative effort between McGill University and the Jet Propulsion Laboratory.
Supplemental Online Content

eTable 1. Summary of data sources eTable 2. Variable description eMethods. eAppendix. eFigure 1. Timeline of school reopening eTable 3. Heterogeneous treatment effects estimated through differences-in-differences eTable 4. Differences in cases for school-age children aggregated by cohort eTable 5. Differences in cases for parent-age adults aggregated by cohort eTable 6. Difference-in-differences estimates aggregated by cohorts with matched sample eTable 7. Difference-in-differences model with continuous treatment eFigure 2. Dynamic treatment effects with alternative outcomes eTable 8. Descriptive statistics of municipalities by school reopening decision in the baseline period (as of end of September)
Preference-based search technology for the user query semantic interpretation

Typical semantic search query for Semantic search promises to provide more accurate result than present-day keyword matching-based search by using the knowledge base represented logically. Existing keyword-based retrieval system is Preference for the semantic interpretation of a user's query is not the meaning of the user keywords of interconnect, you can not search. In this paper, we propose a method that can provide accurate results to meet the user's search intent to user preference based evaluation by ranking search. The proposed scheme is Integrated ontology-based knowledge base built on the formal structure of the semantic interpretation process based on ontology knowledge base system.
A case study of a course based on student creation of learning objects

A common report from anecdotal writing over many generations of educators is that it is the teacher who usually learns the most during the process of gathering content materials, designing, teaching and evaluating student performance. In this project we address this issue by developing an innovative instructional design in which collaborative groups of students working at distance create, share and assess learning content (in the form of learning objects) with their peers through online learning portals. The results of this process are assessed via surveys, discussions, reflective essays and peer evaluations. We conclude that instructional models based upon student construction of content and orchestration of learning activities can reduce instructor workload, provide opportunity for students to acquire new skills while increasing their subject content knowledge, and create a lasting legacy of reusable learning objects.
Diabetic ketoacidosis at diagnosis of type 1 diabetes and glycemic control over time: The SEARCH for diabetes in youth study

The diagnosis of type 1 diabetes (T1D) in youth is often associated with diabetic ketoacidosis (DKA). We aimed to evaluate if the presence of DKA at diagnosis of T1D is associated with less favorable hemoglobin A1c (HbA1c) trajectories over time.
Techniques for Improved Continuous and Discrete Tuning Range in Millimeter-Wave VCOs

Millimeter-wave voltage-controlled oscillators (VCOs) require small tank inductors due to large parasitic capacitances contributed by MOS switches and cross-coupled pair. This significantly increases the effect of routing inductance on the uniformity of tuning range. In this brief, mathematical analysis has been carried out to explain tuning behavior in the presence of routing inductance. A symmetrically distributed SWCB is proposed, which provides a uniform discrete tuning range, leading to a $3.6\times $ reduction in the varactor size compared to traditional implementations. Two VCOs with different tank structures have been implemented in a Texas Instruments proprietary 130-nm BiCMOS technology. Measurement results show an oscillation frequency of 23.5 GHz with a phase noise performance of −111 dBc/Hz at 1-MHz offset from the carrier, leading to an figure of merit of −181 dBc/Hz. A layout structure that enhances continuous tuning range is validated on a third fabricated VCO through a measured 300% improvement in continuous tuning range.
A GSM modulator using a /spl Delta//spl Sigma/ frequency discriminator based synthesizer

This paper describes a new transmitter architecture suitable for GSM modulation. The technique is based on direct modulation of a high resolution /spl Delta//spl Sigma/ frequency discriminator based synthesizer to produce the modulated RF signal without any up-conversion. The advantage of this architecture is that it does not require mixers or D/A converters to generate the in-phase and quadrature signals as in conventional GSM transmitters. This eliminates many of the analog problems associated with mixing and filtering and results in an architecture suitable for monolithic integration.
Super-Iterative Image Reconstruction in PET

Despite its success in many biomedical applications, Positron Emission Tomography (PET) has the drawback of typically having lower spatial resolution and higher noise respect to other medical imaging techniques. The best achievable spatial resolution in PET scanners is limited by factors such as the positron range, non-collinearity and the size of the detector crystals. In this work, we present a novel method that uses series of image reconstructions (super-iterations) to go beyond the expected resolution-noise limits for a given PET acquisition. The image quality improvement is achieved using the projections of the previous image reconstruction to redistribute the measured counts of each line-of-response (LOR) into several subLORs, from which a new activity distribution with better quality is reconstructed. The method was evaluated with data from the preclinical scanner 4R-SuperArgus PET/CT, using the NEMA NU4-2008 image quality phantom, a cold Derenzo phantom, and an in-vivo FDG cardiac study on a rat. Resolution and recovery coefficient (RC) improvement of ∼10% was achieved while keeping the same noise level. Qualitative results from the in-vivo study also confirm this improvement in image quality. The proposed method is able to achieve significantly better images at the expense of a modest increase of the computational time, and it could be also applied to other modalities, such as SPECT and Compton Cameras.
Lean Startup : mode ou nouvelle bonne pratique ?

Le mouvement Lean Startup connait un retentissement important depuis le debut des annees 2010. Concretement, cette nouvelle approche de la preparation d’une jeune entreprise propose de collecter systematiquement, rapidement et par iteration successive un maximum de connaissances sur ses clients et leurs besoins. L’objectif est alors d’economiser ses rares ressources et l’aider a atteindre rapidement une bonne adequation entre son produit et le marche.Face a un tel succes, il est necessaire de faire le point et de tenter d’objectiver l’apport de Lean Startup en interrogeant des entrepreneurs et des accompagnateurs aux profils varies. D’une part, l’etude met en avant une serie d’avantages, essentiellement lies a une meilleure gestion du risque des projets entrepreneuriaux. D’autre part, elle identifie differents risques qui suggerent une forme de prudence en cas d’adoption de la methodologie qui, de plus, ne convient pas a certains types de projet. Lean Startup se presente donc plus comme un outil complementaire que comme une revolution.
Fraud detection for information reliability from the internet in forensic accounting

Internet is a main factor in a flood of information. There is great concerning about reliability of information from the Internet. Financial statements are opened annually and anybody can obtain them from the Internet. A company manipulates its accounting data in order to look like financially stable. An institutional or individual investor considers the company has a good state in finance part or in business activity from its financial reports. That makes investors failed due to faulty information. Therefore, personal, companies or even countries can become a very dangerous state by usage of incorrect information. To modify accounting data as false is an antisocial action. In forensic accounting, an investigation is conducted to find evidence relevant to accounting scandals that involve making money for use in secret, embezzling company funds, or evading taxes on purpose [1]. But most existing techniques are used for evidence discovery rather than fraud prevention. Fraud prevention in accounting part means to pre-detect frauds by analyzing financial statements. It helps information reliability from the Internet. In this paper, an algorithm is suggested for the detection of financial fraud via financial statements analysis and the test results using this algorithm will be presented.
L’alternance à l’université, quel effet propre sur l’insertion ?

Alors que l’alternance a l’universite poursuit son essor, de nombreux travaux s’attardent sur les particularites de ses formations et de ses publics. a partir d’une etude exploratoire, cet article propose de mettre en regard le devenir de diplomes de master inscrits en formation classique et en alternance afin d’identifier un effet propre de l’alternance sur l’insertion professionnelle. Une enquete ad hoc, realisee dans une universite, met en evidence que les ecarts observes relevent des usages de l’alternance qui different selon les specialites de diplomes, mais aussi des effets de segmentation du marche du travail lies a la specialite de formation suivie.
P2.136 Sexual Transmission Infection Situation in People Living with HIV (PLHIV)In 6 Provinces in Vietnam from 2008–2011

Background Multiple studies have suggested that STIs (sexual transmission infections) are important cofactors in the transmission and acquisition of HIV infection. Thus control of one may have beneficial effects on the control of the other. Method A descriptive cross sectional study of 2059 PLHIV and STIs were undertaken at 6 at adult HIV outpatient clinics in Vietnam from 10/2008 to 11/2011 to determine the STIs situation among PLHIV. Results Among 2059 PLHIV and STIs 48.2% (n = 991) were male, 51.8% (n = 1068) were female. The majority of PLHIV with STIs (n = 2010, 97.6%) are the ages of from 15 to 49 years, only 2.4% (n = 49) of patients over 49 years. 65.6% (n = 1350) of patients are diagnosed STI by etilogic approach. 34.4% (n = 709) of STI/HIV patients were diagnosed by syndromic approach. Among 336 male patients (n = 47.4%) diagnosed with STIs by syndromic approach: (80.1%) (n = 269) patients had urethral discharge syndrome, (19.4%) (n = 65) patients had genital ulcer syndrome. Among 373 female patients (n = 52.6%) diagnosed with STIs by syndromic approach, n = 190 (50.9%) patients had vaginal discharge syndrom, n = 148 (39.7%) had abdominal pain syndrome. Of 655 male patients etiologically diagnosed of STI, 65.7%(n = 430) had genital warts with human papillomavirus (HPV), n = 73 (11.2%) had genital ulcers due to Herpes simplex virus (HSV), n = 38 (5.8%) had gonorrhoea, n = 22 (3.4%) had Chlamydia trachomatis 3%. Of 695 female patients, n = 295 (42.4%) had warts due to HPV, n = 121 (17.4%) had fungal vaginitis due to Candida, n = 117 (16.8%) had bacterial vaginalis and n = 79 (11.4%) had ulcers due to HSV. Conclusion In patients with STIs/HIV, when using syndromic approach nearly half of the male patients had uretharal discharge syndrome and over half of female patients had vaginal discharge syndrome. Etiologically, genital warts due to HPV were the most common cause.
An economy under the digital transformation

During the last twenty years, we have witnessed the deep development of digital technologies. Artificial intelligence, software and algorithms have started to impact more and more frequently in our daily lives and most people didn't notice it. Recently, economists seem to have perceived that this new technological wave could have some consequences, but which one are they? Will they be positive or negative? In this paper we try to give a possible answer to these questions through an agent based computational approach; more specifically we enriched the large-scale macroeconomics model EURACE with the concept of digital technologies in order to investigate the effect that their business dynamics have at a macroeconomic level. Our preliminary results show that this productivity increase could be a double-edged sword: notwithstanding the development of the digital technologies sector can create new job opportunities, at the same time, these products could jeopardize the employment inside the traditional mass-production system.
Improving the performance of cardiac abnormality detection from PCG signal

The Phonocardiogram (PCG) signal contains important information about the condition of heart. Using PCG signal analysis prior recognition of coronary illness can be done. In this work, we developed a biomedical system for the detection of abnormality in heart and methods to enhance the performance of the system using SMOTE and AdaBoost technique have been presented. Time and frequency domain features extracted from the PCG signal is input to the system. The back-end classifier to the system developed is Decision Tree using CART (Classification and Regression Tree), with an overall classification accuracy of 78.33% and sensitivity (alarm accuracy) of 40%. Here sensitivity implies the precision obtained from classifying the abnormal heart sound, which is an essential parameter for a system. We further improve the performance of baseline system using SMOTE and AdaBoost algorithm. The proposed approach outperforms the baseline system by an absolute improvement in overall accuracy of 5% and sensitivity of 44.92%.
Elicitación de requerimientos, centrada en el usuario, para el desarrollo de un Serious Game

Los Serious Games (SG) contribuyen con la capacitación y entrenamiento en múltiples áreas tales como la defensa, la salud, la educación ó la política. Para que un SG’s cumpla su objetivo, su construcción debe partir de una buena especificación. Los requerimientos de SG involucran; objetivos educativos, objetivos del juego, requerimientos específicos del software y elementos de medición que nos permitan evaluar su eficacia. El presente trabajo describe las consideraciones tomadas en cuenta para la definición de un Proceso de Elicitación para SG’s, basado en la Modelo de Proceso MPOBA. En dicho proceso se procura lograr una Especificación de Requerimientos precisa que exprese el equilibrio necesario entre las necesidades pedagógicas, lúdicas y del sofware. Para lograrlo el mismo pone énfasis en el aspecto multidisciplinario y el enfoque del proceso de Elicitación, basado en favorecer los aspectos positivos para el proceso de aprendizaje. Actualmente, el Proceso de Elicitación se está testeando y validando a través de su aplicación en el desarrollo de un SG sobre el uso consciente y eficiente de la energía
Modeling and control to improve blood glucose concentration for people with diabetes

Diabetes mellitus is a chronical condition that features either the lack of insulin or increased insulin resistance. It is a disorder in the human metabolic system. To combat insufficiency of insulin released by pancreas, a closed-loop control system, also known as artificial pancreas (AP) in this application, have been created to mimic the functionality of a human pancreas. An AP is used to regulate blood glucose concentration (BGC) by managing the release of insulin. Therefore, an algorithm, which can administer insulin to reduce the variation of BGC and minimize the occurrences of hyper-/ hypoglycemia episodes, is the key component of an AP. The objective of the dissertation is to develop an optimal algorithm to better control BGC for people with diabetes. For people with Type 2 diabetes, prevention or treatment of diabetes mellitus can typically be done via a change of lifestyle and weight management. A virtual sensing system that does not require many manual inputs from patients can ease the burden for people with Type 2 diabetes. This dissertation covers the development of a monitoring system for Type 2 diabetes. To achieve the goal of tighter control of BGC for people with Type 1 diabetes, dynamic modeling methodology for capturing the cause-and-effect relationship between manipulated variable (i.e. insulin) and controlled variable (i.e. BGC) has been developed. Theoretically, this dissertation has established that physiologically based nonlinear parameterized wiener models being superior to nonlinear autoregressive moving average with exogenous inputs (NARMAX) models in capturing dynamic relationships in processes with correlated inputs. Based on these results, wiener models have been applied in the modeling of BGC for real subjects with Type 1 diabetes under free-living conditions. With promising results shown in wiener models, an
3D Bounding Box Generative Adversarial Nets

Recently, Generative Adversarial Networks (GANs) gradually applied to the generation of 3D objects and has achieved remarkable success, but at the same time, it also faces some problems, such as the training instability, low-quality samples and mode collapse. We propose a novel framework, namely 3D Bounding Box Generative Adversarial Network (3D-BBGAN), which can reduce the probability space of generation by adding conditional information. According this way, we can get 3D objects with more detailed geometries.
A Low-Power Register File with Dual-V t Dynamic Bit-Lines driven by CMOS Bootstrapped Circuit

Recent CMOS technology scaling has seriously eroded the bit-line noise immunity of register files due to the consequent increase in active bit-line leakage currents. To restore its noise immunity while maintaining performance, we propose and evaluate a 256×40-bit register file incorporating dual-V t bit-lines with a boosted gate overdrive voltage in 65 nm bulk CMOS technology. Simulation results show that the proposed bootsrapping scheme lowers leakage current by a factor of 450 without its performance penalty.