Miracle-dz/UniFAR-FTUs huggingface dataset:
Autosomal recessive muscular dystrophy in Manitoba Hutterites *

A slowly progressive type of muscular dystrophy affecting 11 known members of several Southern Manitoba Hutterite colonies is described. Though encompassing the facial characteristics of the facio‐scapulo‐humeral type and the proximal distribution of the limb‐girdle type, it was felt that this disease represents a distinct type of muscular dystrophy with autosomal recessive inheritance.
Inflammatory progressive multifocal leukoencephalopathy in human immunodeficiency virus–negative patients

Inflammatory progressive multifocal leukoencephalopathy (iPML) with enhancing magnetic resonance imaging (MRI) lesions and leukocyte infiltration occurs in human immunodeficiency virus (HIV)–infected individuals after highly active antiretroviral therapy (HAART) treatment. MRI diagnostic criteria for PML suggest that iPML does not occur in HIV‐negative individuals.
Software security checklist for the software life cycle

A formal approach to security in the software life cycle is essential to protect corporate resources. However, little thought has been given to this aspect of software development. Traditionally, software security has been treated as an afterthought leading to a cycle of 'penetrate and patch. ' Due to its criticality, security should be integrated as a formal approach in the software life cycle. Both a software security checklist and assessment tools should be incorporated into this life cycle process. The current research at JPL addresses both of these areas through the development of a Software Security Assessment Instrument (SSAI). This paper focuses on the development of a Software Security Checklist (SSC) for the life cycle. It includes the critical areas of requirements gathering and specification, design and code issues, and maintenance and decommissioning of software and systems.
A Qualitative GIS for Social Media and Big Data

Qualitative GIS has progressed in meaningful ways since early calls for a qualitative GIS in the 1990’s. From participatory methods, to the invention of the participatory geoweb, and finally to geospatial social media sources the amount of information available to non-quantitative GIScientists has grown tremendously. Recently, researchers have advanced qualitative GIS by taking advantage of new data sources, like Twitter, to illustrate the occurrence of various phenomena in the dataset geospatially. At the same time, computer scientists in the field of natural language processing have built increasingly sophisticated methods for digesting and analysing large text-based data sources. In this article the authors implement one of these methods, topic modelling, and create a visualization method to illustrate the results in a visually comparative way, directly onto the map canvas. The method is a step towards making the advances in natural language processing available to all GIScientists. The article discusses the ways that geography plays an important part of understanding the results presented from the model and visualization, including issues of place and space.
Trait impulsivity and response-inhibition in Parkinson Disease. An fMRI study

Introduction: Dopamine agonists and levodopa have been implicated in impulse-control disorder (ICD) development since they can induce alterations in the frontostriatal network that manage reward and mediate impulse monitoring and control. The aim the study was to explore the response-inhibition performance and the neural correlates of inhibition in Parkinson’s disease (PD) patients that varied on self-reported trait impulsivity. Methods: Ten cognitively non-impaired patients with PD were recruited. They underwent a neurological evaluation, a neuropsychological assessment and questionnaires on behavioral mood changes. The Barratt Impulsiveness Scale (BISS-11) provided an integrated measure of trait impulsivity. During an fMRI acquisition, each subject was asked to perform a GO-NOGO task. Associations between BOLD response of the whole brain during the response-inhibition task and trait impulsivity were investigated. Results: Patients with greater scores on BIS-11 had greater activation of the bilateral presupplementary motor area (pre-SMA), bilateral anterior insula, right anterior cingulate cortex, and right temporal parietal junction (TPJ) during response-inhibition. Moreover, a significant association between higher impulsivity scores and worse performance was present (p= 0.038). Conclusions: Our results suggest that deficit in inhibitory processes may affect everyday life, causing impulsive conduct, which is generally detrimental for PD patients. The strong association between BIS-11 scores, MPFC, pre-SMA and TPJ suggests that greater engagement of that network was needed to maintain behavioral inhibition in more impulsive PD patients. Indeed, neuroimaging of brain activity during GO-NOGO task may be useful in characterizing the clinical profile while evaluating the treatment options. Financial disclosure/Conflict of interest concerning the research related to the manuscript: No conflicts of interest/ financial disclosures considering all the authors. Funding sources: this research was not funded by any commercial or governmental agency.
Study and design of multi-objective evolutionary fuzzy systems for improving the interpretability-accuracy trade-off of linguistic fuzzy rule-based systems when dealing with high-dimensional and large scale problems

En las ultimas decadas los sistemas basados en logica difusa han tenido una gran difusion, debido a su flexibilidad para su aplicacion en distintos problemas. En particular, los sistemas difusos mas estudiados y utilizados son los Sistemas Basados en Reglas Difusas (SBRDs), que han sido aplicados con exito a diferentes campos, como el control, el modelado, la clasificacion, la prediccion de datos, etc. El objetivo primario de esta memoria es el estudio del equilibrio entre precision y complejidad en Sistemas Basados en Reglas Difusas (SBRDs) para el caso de problemas de alta dimensionalidad y/o con un gran numero de ejemplos. Para ello, se proponen el uso de Algoritmos Evolutivos Multi-Objetivos (AEMOs), que permiten generar un conjunto de soluciones no-dominadas con distintos equilibrios para ambos objetivos. En concreto, los objetivos que proponemos son: 1. Realizar un estudio sobre los SDEMOs existentes en la literatura. Proponer una taxonomia que permita organizar las contribuciones en distintas categorias para conocer cuales son los problemas abiertos relacionados con el diseno de los SDEMOs. 2. Realizar igualmente un estudio sobre las propuestas que hayan tratado el tema del equilibrio entre interpretabilidad y precision en los SDEMOs, centrandonos en aquellos algoritmos que alcanzan los mejores resultados. 3. Realizar un estudio sobre la influencia del aprendizaje de la granularidad de la base de datos de los SBRDs, desarrollando distintos algoritmos con el objetivo de mejorar el balance entre precision y complejidad mediante el aprendizaje del numero adecuado de funciones de pertenencias (es decir la granularidad) de cada variable. Para ello, se pretenden desarrollar varios SDEMOs considerando dos objetivos contradictorios: minimizar el error del modelo (precision) y minimizar el numero de reglas (complejidad). 4. Estudiar la combinacion de las tecnicas de pre-procesamiento de seleccion de instancias con los SDEs. Combinar ambas tecnicas con el objetivo de determinar si la reduccion del numero de ejemplos es efectiva para reducir tambien la complejidad de los SBRDs y el tiempo de calculo requerido para manejar grandes cantidades de datos, manteniendo una precision aceptable. 5. Validar los resultados obtenidos mediante una comparacion con los metodos existentes, mediante el uso de tecnicas estadisticas.
Error-correcting codes and nonlinear diversity combining against worst case partial-band noise jamming of frequency-hopping MFSK systems

Error probability analyses are performed for a coded M-ary frequency-shift keying system (MFSK) using L hops per M-ary word frequency-hopping spread-spectrum waveforms transmitted over a partial-band Gaussian noise jamming channel. The bit error probabilities are obtained for a square-law adaptive gain control receiver with forward-error-control coding under conditions of worst-case partial-band noise jamming. Both thermal noise and jamming noise are included in the analyses. Performance curves are obtained for both block codes and convolutional codes with both binary and M-ary channel modulations. The results show that thermal noise cannot be neglected in the analysis if correct determinations of the optimum order of diversity and the worst-case jamming fraction are to be obtained. It is shown that the combination of nonlinear combining, M-ary modulation, and forward-error-control coding is effective against worst-case partial-band noise jamming. >
Advances in Brief Prostate-localized and Androgen-regulated Expression of the Membrane-bound Serine Protease TMPRSS 2 1

Genes regulated by androgenic hormones are of critical importance for the normal physiological function of the human prostate gland, and they contribute to the development and progression of prostate carcinoma. We used cDNA microarrays containing 1500 cDNAs to profile transcripts regulated by androgens in prostate cancer cells and identified the serine proteaseTMPRSS2as a gene exhibiting increased expression upon exposure to androgens. TheTMPRSS2gene is located on chromosome 21 and contains four distinct domains, including a transmembrane region, indicating that it is expressed on the cell surface. Northern analysis demonstrated that TMPRSS2is highly expressed in prostate epithelium relative to other normal human tissues. In situ hybridization of normal and malignant prostate tissues localizesTMPRSS2expression to prostate basal cells and to prostate carcinoma. These results suggest that TMPRSS2may play a role in prostate carcinogenesis and should be investigated as a diagnostic or therapeutic target for the management of prostate cancers.
Simulation numérique d'écoulements magnétohydrodynamiques par des schémas distribuant le résidu

Au cours de ce travail, nous nous sommes attache a la resolution numerique des equations de la Magnetohydrodynamique (MHD) auxquelles s'ajoute une loi hyperbolique de transport des erreurs de divergence.La premiere etape consista a symetriser le nouveau systeme de la MHD ideale afin d'en etudier le systeme propre, ce qui fut l'occasion de rappeler le role de l'entropie au niveau de ce calcul comme a celui de l'inegalite de Clausius-Duhem. La suite de cette these eut pour objectif la resolution de ces equations ideales a l'aide de schemas distribuant le residu (notes RD). Les quatre principaux schemas connus furent testes, et nous avons montre entre autres que le schema N, qui a fait ses preuves sur les equations d'Euler en mecanique des fluides, n'etait pas adapte aux equations de la MHD. Les strategies classiques de limitation et de stabilisation purent etre revisitees a ce moment. Les equations etant instationnaires, il fallut integrer une discretisation en temps et une distribution spatiale des termes d'evolution (et d'eventuelles sources). Nous avons d'emblee opte pour une approche implicite permettant d'etre performant sur les simulations longues des experiences de tokamaks, et de traiter la correction de la divergence d'une maniere originale et efficace. Les problemes de convergence de la methode de Newton-Raphson n'ayant pas ete pleinement resolus, nous nous sommes tournes vers une alternative explicite de type Runge-Kutta. Enfin, nous avons reetabli les principes de la montee en ordre (en theorie, jusqu'a des ordres arbitraires, en prenant en compte le phenomene de Gibbs) a l'aide de tout type d'element fini (bien construit) 2D ou 3D, sans avoir pu valider tous ces aspects. Nous avons egalement pris en compte les equations completes de la MHD reelle classique (i.e. sans effet Hall) a l'aide d'un couplage RD/Galerkin.
Estimating the efficiency of Greek banking system during the last decade of world economic crisis

Purpose The purpose of this paper is to examine the efficiency of the four largest Greek banking organizations for the period 2004–2014, including both a period of strong economic growth and a period of economic crisis and recession, which is still plaguing the Greek economy and more specifically the Greek banking sector. Design/methodology/approach The study incorporates the application of financial ratio analysis and the data envelopment analysis (DEA) in order to calculate the technical efficiency of Greek financial institutions. More specifically, a two-stage output-oriented DEA model is developed in order to estimate the global efficiency of banks. The banking function is considered as consisting of two stages in series, a service/operational efficiency and a profitability efficiency. In both output-oriented models, methods of constant returns to scale and variable returns to scale were applied. Findings The results show that in terms of operational efficiency, banks started from a low rate of return in 2004, which improved until 2008, which marked the peak of operational efficiency. By 2010, the operating efficiency varied with downward trend until 2012–2013. In terms of profitability efficiency, the image is clearer, since the impact the financial crisis had on bank’s profit efficiency led, by 2012, to a plunge in the average efficiency by 30–40 percent. Originality/value A multi-stage DEA process, input oriented, was used in order to estimate changes in the performance and efficiency of banking system. The period 2004–2014 has not been examined until recently and all previous studies used the output-oriented DEA model.
Efficient memory simulation in SimICS

We describe novel techniques used for efficient simulation of memory in SimICS; an instruction level simulator developed at SICS. The design has focused on efficiently supporting the simulation of multiprocessors, analyzing complex memory hierarchies and running large binaries with a mixture of system level and user level code. A software caching mechanism (the Simulator Translation Cache, STC) improves the performance of interpreted memory operations by reducing the number of calls to complex memory simulation code. Major data structures are allocated lazily to reduce the size of the simulator process. A well defined internal interface to generic memory simulation simplifies user extensions. Leveraging on a flexible interpreter based on threaded code allows runtime selection of statistics gathering, memory profiling, and cache simulation with low overhead. The result is a memory simulation scheme that supports a range of features for use in computer architecture research, program profiling, and debugging. <<ETX>>
[The ulnar flap].

A new skin or fascial flap is described, based on the dorsal ulnar artery. In hundred fresh cadaveric forearms this vessel was constant with a diameter of 1 to 1.3 mm, passing dorsally from the ulnar artery deep to the flexor carpi ulnaris muscle. It supplies the skin and the fascia in the distal two thirds of the ulnar side of the forearm (length from 9 to 20 cm; width 1.5 to 10 cm). A flap based on this vessel can cover defects of the dorsal and palmar aspects of the hand and wrist, the thenar and the hypothenar eminence. It can be used as a fascial flap to avoid fibrosis around the median nerve and the tendons. The authors show the anatomy and some clinical cases.
A Fake News Detection Framework Using Social User Graph

In the contemporary era of information explosion, all kinds of false and misleading information are flooding our lives, which often impact politics and even our real world. How to detect these potential fake news from massive news texts is of great significance for maintaining social stability. The current fake news detection is mainly researched from supervised classification based on text content. However, it does not always work. Because fake news is often latent, they can imitate true news from the perspective of language style, etc. Therefore, we need to capture more effective feature information to improve the performance of fake news detection models. For example, the user connections on social networks. At present, some researches have used the characteristics of users in social networks, but the user's characteristic representation is often independent of the task of fake news detection, and some researches ignored the different influences of different users in fake news detection, such as the news released by official news agency is often more authentic. In this paper, we propose a fake news detection framework that makes full use of user characteristics. Firstly, the user's news dissemination behavior was classified based on GraphSage. Then, using multi-head attention to give the user representation that obtained through GraphSage to different weights, which was combined with the news text representation was used for classification. Compared with previous studies, we have achieved the state-of-the-art performance on two real datasets BuzzFeed and PolitiFact, which show the strength of our method.
COSMETIC SURGERY FOR AGING EFFECTS ON FACE IMAGES-A PROPOSED METHOD

Cosmetic surgery was intended and typically reserved as a repair mechanism to assist wounded and deformed soldiers in war. Soldiers returning from war with missing limbs and shrapnel torn faces entrusted their appearance to the hands of skilled surgeons of the time. The development of cosmetic surgery received a push for movement from the need to repair gross deformities sustained in war to the need to change normal and typical physical appearances. Early surgeons intended cosmetic surgery for surgical repair of congenital or acquired deformities and the restoration of contour to improve the appearance and function of tissue defects. Throughout history, women have been fed the notion that beauty is all that matters in their life. Today, in the 21st century, women are the basic targets of the media industry. Media manipulation shows women's perspectives related to their appearance routinely occurs, as media moguls persist to work hand in hand with the cosmetic industry, feeding society with unattainable ideals, encouraging women to mutilate themselves for psychological reasons, often with lethal consequences usually hidden in final print. Facial plastic surgery is generally used for correcting feature defects or improving the appearance, for example, removing birth marks, moles, scars and correcting disfiguring defects in the face. This paper describes a system that replaces an individual's facial features with corresponding features of another individual possibly of different skin colour and fuses the replaced features with the original face, such that the resulting face looks natural. The results also suggest that it is imperative for future face recognition systems to be able to address this important issue and hence there is a need for more research in this important area.
Mismatch Negativity and P300 to Behaviorally Perceptible and Imperceptible Frequency and Intensity Contrasts

Mismatch negativity and the P300 have been investigated as electrophysiological indices of behavioral auditory discrimination of duration. Using an oddball paradigm, responses were evoked to stimuli that had been behaviorally demonstrated to be either perceptible or imperceptible. The results indicated P300 events were present with the perceptible contrast but absent for the imperceptible contrast with all participants, while mismatch negativities were present in approximately 80 and 20% of participants to the perceptible and imperceptible contrasts, respectively. The present study extended the findings by applying the same paradigm to the discrimination of spectral and amplitude contrasts. 10 young adults with normal hearing were participants. Assuming that auditory assessment should involve representation and processing in all acoustic domains (i.e., temporal/duration, spectral/frequency and amplitude/intensity), the effects seen with temporal contrasts were predicted to be similar for spectral and amplitude contrasts. The findings generally illustrated that the P300 was more accurate than the mismatch negativity in reflecting behavioral discrimination. Together, these studies challenge the use of mismatch negativity as an electrophysiological correlate for behavioral discrimination of auditory perceptible contrasts.
Addition of 5-fluorouracil to docetaxel/cisplatin does not improve survival in locoregionally advanced nasopharyngeal carcinoma

Addition of induction chemotherapy (IC) to concurrent chemoradiotherapy (CCRT) is a potentially effective approach for treating locoregionally advanced nasopharyngeal carcinoma (NPC). In this study, we compared the efficacy and toxicity of IC regimens consisting of docetaxel plus cisplatin with (TPF) or without (TP) 5-fluorouracil followed by CCRT in these patients. Clinical data from 245 propensity score-matched pairs of newly diagnosed non-metastatic NPC patients who received either TPF or TP IC before CCRT were retrospectively reviewed. After a median follow-up of 60 months, 5-year locoregional relapse-free, distant metastasis-free, progression-free, and overall survival rates were 95.6%, 94.7%, 90.4%, and 92.9% in TPF arm patients and 96.7%, 94.2%, 91.7%, and 91.0% in TP arm patients, respectively. There were thus no differences in survival between the two arms. Multivariate analysis revealed that IC regimen was not an independent prognostic factor for any of the survival outcomes. However, patients who received TP experienced lower incidences of grade 3/4 toxicities than those who received TPF. These results indicate that omission of 5-fluorouracil from TPF-based IC did not affect survival outcomes, but was associated with reduced toxicity, in patients with locoregionally advanced NPC.
Healthy/Esophageal Speech Classification using Features based on Speech Production and Audition Mechanisms

This paper focuses on the classification of speech sequences into two classes: healthy speech and esophageal speech. Two kinds of features are selected: those based on speaker speech production mechanism and those using listener auditory system properties. Two classification strategies are used: the Discriminant Analysis and the GMM based bayesian classifier. Experiments, conducted with a large database, show classification accuracy using both features. Moreover, auditory based features are the best since error rates tend to be null.
Developing a secondary mobile network in the Palestinian GSM band using cognitive radio

In this paper, we study the feasibility of implementing a secondary overlay cognitive radio (CR) network in the primary Palestinian global system for mobile communications (GSM) 900MHz band. In particular, the existing second generation (2G) GSM mobile system is considered as the primary system (PS) whereas a fourth generation (4G) mobile system based on orthogonal frequency division multiplexing (OFDM) is suggested as an overlay secondary system (SS). The interference expression due to the SS at the PS receiver and the interference expression due to the PS at the SS receiver are firstly derived. Then, to eliminate these interferences, a pre-coding technique based on zero forcing beamforming (ZFBF) is inserted at the SS transmitter, while a post-coding is introduced at the SS receiver. To illustrate the performance of the proposed CR system, a comparative simulation study is carried-out with existing CR based on OFDM system for both the PS and SS. It is confirmed that the proposed CR system can utilize the available spectrum efficiently and limit interference levels, and consequently can improve system capacity.