Miracle-dz/UniFAR-FTUs huggingface dataset:
Demencia frontotemporal y esclerosis lateral amiotrófica: presentación de un caso clínico Frontotemporal dementia and amyotrophic lateral sclerosis: a case report

Resumen Durante mucho tiempo se penso que la esclerosis lateral amiotrofica era una enfermedad exclusivamente motora, sin embargo, diversos estudios han mostrado la existencia de sintomas cognitivos que pueden manifestarse antes, durante o despues de los sintomas motores y que serian compatibles con una demencia frontotemporal. Se presenta un caso de un hombre de 69 anos que consulta por dificultades de deglucion de caracter progresivo. En la evaluacion fonoaudiologica se pesquisan dificultades cognitivas, por lo cual se decide aplicar diversas pruebas con el objetivo de aclarar estas alteraciones. Los resultados de la evaluacion revelan alteraciones a nivel de deglucion, con sintomatologia sugerente de enfermedad de motoneurona, ademas de alteraciones cognitivas a nivel de funciones ejecutivas, habilidades visuoespaciales, memoria, lenguaje y alteraciones en conducta y comportamiento. En el transcurso de unos meses, posterior a la evaluacion fonoaudiologica, se realiza el diagnostico de esclerosis lateral amiotrofica. Se enfatiza en la importancia de la anamnesis y evaluacion clinica, el diagnostico precoz enfocado en la intervencion oportuna y la relevancia de contar con profesionales competentes y capaces, con conocimientos sobre neuropsicologia que puedan ser de apoyo para la intervencion.
Positioning Relay Nodes in ISP Network

To increase reliability and robustness of mission-critical services in the event of network failures, it is often desirable and beneficial to take advantage of path diversityprovided by the network topology. One way of achieving this inside a single Autonomous System (AS) is to use two paths between every Origin-Destination (OD) pair. One path is the default path defined by the intra-domain routing protocol running within the AS; the other path is defined as an overlay path that passes through a strategically placed relay nodeinside the AS. The key question then is how to place such relay nodes inside an AS, which is the focus of this work. We propose a simple greedy algorithm to find the number and positions of relay nodes such that every OD pair has an overlay path going through a relay node that is disjoint from the default path. When it is not possible to find completely disjoint overlay paths, we allow overlay paths to have overlapped links with default paths. Since overlapped links diminish the robustness of overlay paths against a single point of failure, we introduce the notion of penalty for partially disjoint paths. We apply our algorithm on an operational tier-1 ISP network and demonstrate that our method increases network-wide resiliency against a single link failure. Based on real failure scenarios obtained from the ISP network and hypothetical traffic matrix, we demonstrate that the relay nodes selected by our algorithm provide complete protection against 75.3% of failure events and allow less than 1% of traffic to be affected for 92.8% of failure events.
Exact calculation for disturbance force rejection grasp quality measure

We propose a novel method to calculate scalar version of the grasp quality measure proposed, which is the magnitude of minimal disturbance force applied to the object that breaks the grasp. This measurement is adopted in several works but all of them are essentially calculated by enumerating over discretized directions of forces. Our proposed method does not need to discretize the direction, rendering the method more complete. The key idea of our method is that the measure is formulated as a function which depends on object vertices, disturbance force direction and hyperplanes of Unit grasp wrench space(UGWS). We proved that the reciprocal of this function is indeed concave over disturbance force direction, for a fixed object and fixed hyperplane of UGWS. Hence, we can derive analytical solution that find the global minimum of this function. A numerical example was carried out and the result shows that our proposed method can outperform the original computation in term of accuracy and efficiency.
Toward Real-Time Pedestrian Detection Based on a Deformable Template Model

Most advanced driving assistance systems already include pedestrian detection systems. Unfortunately, there is still a tradeoff between precision and real time. For a reliable detection, excellent precision-recall such a tradeoff is needed to detect as many pedestrians as possible while, at the same time, avoiding too many false alarms; in addition, a very fast computation is needed for fast reactions to dangerous situations. Recently, novel approaches based on deformable templates have been proposed since these show a reasonable detection performance although they are computationally too expensive for real-time performance. In this paper, we present a system for pedestrian detection based on a hierarchical multiresolution part-based model. The proposed system is able to achieve state-of-the-art detection accuracy due to the local deformations of the parts while exhibiting a speedup of more than one order of magnitude due to a fast coarse-to-fine inference technique. Moreover, our system explicitly infers the level of resolution available so that the detection of small examples is feasible with a very reduced computational cost. We conclude this contribution by presenting how a graphics processing unit-optimized implementation of our proposed system is suitable for real-time pedestrian detection in terms of both accuracy and speed.
DESIGN OF OPTIMAL GROUND CONDUCTOR FOR THE HELICAL ANTENNA

We have observed that the size and shape of the ground conductor of axial mode helical antennas have significant impact on the antenna gain. Of all the shapes considered, the ground conductors in the shape of truncated cone yield the highest increase in the antenna gain when compared to the antennas above the infinite ground plane. We have designed the optimal ground conductor for the specific helical antenna by optimizing the geometrical parameters of the truncated cone with the goal to maximize the antenna gain. The results are compared with the results and measurements reported in our previous work.
SMART TRAFFIC CONTROL SYSTEM USINGPLC and SCADA

The scope of this paper is to present the initial steps in the implementation of a smart traffic light control system based on Programmable Logic Controller (PLC) technology. We, in this method, intend to measure the traffic density by counting the number of vehicles in each lane and their weight, then park in automated parking or diverge them accordingly. It is also difficult for a traffic police to monitor the whole scenario round the clock. So, this system can be implemented on highways and city traffic.
Multi-Level Image Segmentation with Internal Feedback Mechanisms

1 Introduction 32 Previous Work 53 Survey of the System 54 Low-Level Processing Stage 74.1 Application . 74.2 Learning and Continuous Updating . 95 Mid-Level Processing Stage 95.1 Change Detection Measures . 115.1. 1 Edge-Based Relative Similarity Measure . 115.1. 2 Mean Color Similarity Measure . 145.1. 3 Mean Edge Similarity Measure . 165.1. 4 Sum of Foreground Edges Measure . 175.2 Evaluation of Detectors . 185.3 Determination of an Overall Classiﬁcation Result . 226 High-Level Processing Stage 247 Learning and Updating within the Mid-Level Processing Stage 268 Control of Low-Level Segmentation Thresholds 299 Examples of Application 301
Please Scroll down for Article International Journal of Language & Communication Disorders Comprehension of Metaphor and Metonymy in Children with Williams Syndrome Comprehension of Metaphor and Metonymy in Children with Williams Syndrome

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. Abstract Background: Figurative language, such as metaphor and metonymy, is very common in daily language use. Its underlying cognitive processes are sometimes viewed as lying at the interface of language and thought. Williams syndrome, which is a rare genetic developmental disorder, provides an opportunity to study this interface because individuals with this disorder have relative strengths in vocabulary and syntax against a background of low general cognitive ability. Few studies have investigated metaphor comprehension in Williams syndrome and none has investigated metonymy. Aims: This is the first study to investigate metaphor and metonymy comprehension in Williams syndrome and to compare their performance with a group of typically developing children. Methods & Procedures: Ten children with Williams syndrome were compared with eleven typically developing children in a novel metaphor–metonymy comprehension task. Cross-sectional trajectory analyses were used to compare the development of metaphor and metonymy using a child-friendly story picture task. Trajectories were constructed linking task performance either to chronological age or to measures of mental age (receptive vocabulary, visuospatial construction). Outcomes & Results: The performance of children with Williams syndrome was significantly poorer than the typically developing group. The comprehension of metonyms was in line with receptive vocabulary, but comprehension of metaphors fell below this level. Conclusions & Implications: Metonyms may be part of vocabulary and treated as synonyms in Williams syndrome, while metaphor engages additional cognitive mechanisms outside language that develop atypically in this disorder. Despite earlier reports that emphasize good language skills, the Williams syndrome language system shows anomalies compared with typical development.
The Chromatin Remodeler CHD8 Is Required for Activation of Progesterone Receptor-Dependent Enhancers

While the importance of gene enhancers in transcriptional regulation is well established, the mechanisms and the protein factors that determine enhancers activity have only recently begun to be unravelled. Recent studies have shown that progesterone receptor (PR) binds regions that display typical features of gene enhancers. Here, we show by ChIP-seq experiments that the chromatin remodeler CHD8 mostly binds promoters under proliferation conditions. However, upon progestin stimulation, CHD8 re-localizes to PR enhancers also enriched in p300 and H3K4me1. Consistently, CHD8 depletion severely impairs progestin-dependent gene regulation. CHD8 binding is PR-dependent but independent of the pioneering factor FOXA1. The SWI/SNF chromatin-remodelling complex is required for PR-dependent gene activation. Interestingly, we show that CHD8 interacts with the SWI/SNF complex and that depletion of BRG1 and BRM, the ATPases of SWI/SNF complex, impairs CHD8 recruitment. We also show that CHD8 is not required for H3K27 acetylation, but contributes to increase accessibility of the enhancer to DNaseI. Furthermore, CHD8 was required for RNAPII recruiting to the enhancers and for transcription of enhancer-derived RNAs (eRNAs). Taken together our data demonstrate that CHD8 is involved in late stages of PR enhancers activation.
Bidirectional cross metathesis and ring-closing metathesis/ring opening of a C2-symmetric building block: a strategy for the synthesis of decanolide natural products

Starting from the conveniently available ex-chiral pool building block (R,R)-hexa-1,5-diene-3,4-diol, the ten-membered ring lactones stagonolide E and curvulide A were synthesized using a bidirectional olefin-metathesis functionalization of the terminal double bonds. Key steps are (i) a site-selective cross metathesis, (ii) a highly diastereoselective extended tethered RCM to furnish a (Z,E)-configured dienyl carboxylic acid and (iii) a Ru–lipase-catalyzed dynamic kinetic resolution to establish the desired configuration at C9. Ring closure was accomplished by macrolactonization. Curvulide A was synthesized from stagonolide E through Sharpless epoxidation.
Anti-Saccharomyces cerevisiae mannan antibodies combined with antineutrophil cytoplasmic autoantibodies in inflammatory bowel disease: prevalence and diagnostic role

Background—Perinuclear antineutrophil cytoplasmic autoantibodies (pANCA) are a well recognised marker for ulcerative colitis. Antibodies to oligomannosidic epitopes of the yeastSaccharomyces cerevisiae (ASCA) are a new marker associated with Crohn’s disease. Aims—To assess the value of detecting pANCA and/or ASCA for the diagnosis of ulcerative colitis and Crohn’s disease. Methods—Serum samples were obtained from 100 patients with Crohn’s disease, 101 patients with ulcerative colitis, 27 patients with other miscellaneous diarrhoeal illnesses, and 163 healthy controls. Determination of pANCA and ASCA was performed using the standardised indirect immunofluorescence technique and an ELISA, respectively. Results—The combination of a positive pANCA test and a negative ASCA test yielded a sensitivity, specificity, and positive predictive value of 57%, 97%, and 92.5% respectively for ulcerative colitis. The combination of a positive ASCA test and a negative pANCA test yielded a sensitivity, specificity, and positive predictive value of 49%, 97%, and 96% respectively for Crohn’s disease. Among patients with miscellaneous non-inflammatory bowel disorders, three were ASCA positive and two were pANCA positive. One control was ASCA positive. The presence of ASCA in patients with Crohn’s disease was associated with small bowel involvement. Conclusion—ASCA and pANCA are strongly associated with Crohn’s disease and ulcerative colitis, respectively. Combination of both tests could help the diagnosis of inflammatory bowel disease.
Stability Conditions For a Noncommutative Scalar Field Coupled to Gravity via the Positive Energy Theorem

The stability requirements for a noncommutative scalar field coupled to gravity is investigated through the positive energy theorem. It is shown that for a noncommutative scalar with a polynomial potential, the stability conditions are similar to the ones for the commutative case. This result remains valid even whether the space‐time has horizons.
A Polynomial-Time Quantum Algorithm for Collision Problem

In this paper, we give a quantum algorithm which solves collision problem in an expected polynomial time. Especially, when the function is two-to-one, we present a quantum algorithm which can find a collision with certainty in a worst-case polynomial time. We also give a quantum algorithm which solves claw problem with certainty in a worst-case polynomial time.
Optimized Schwarz waveform relaxation for Primitive Equations of the ocean

In this article we are interested in the derivation of efficient domain decomposition methods for the viscous primitive equations of the ocean. We consider the rotating 3d incompressible hydrostatic Navier-Stokes equations with free surface. Performing an asymptotic analysis of the system with respect to the Rossby number, we compute an approximated Dirichlet to Neumann operator and build an optimized Schwarz waveform relaxation algorithm. We establish the well-posedness of this algorithm and present some numerical results to illustrate the method.
Can Translation Memories afford not to use paraphrasing ?

This paper investigates to what extent the use of paraphrasing in translation memory (TM) matching and retrieval is useful for human translators. Current translation memories lack semantic knowledge like paraphrasing in matching and retrieval. Due to this, paraphrased segments are often not retrieved. Lack of semantic knowledge also results in inappropriate ranking of the retrieved segments. Gupta and Orăsan (2014) proposed an improved matching algorithm which incorporates paraphrasing. Its automatic evaluation suggested that it could be beneficial to translators. In this paper we perform an extensive human evaluation of the use of paraphrasing in the TM matching and retrieval process. We measure post-editing time, keystrokes, two subjective evaluations, and HTER and HMETEOR to assess the impact on human performance. Our results show that paraphrasing improves TM matching and retrieval, resulting in translation performance increases when translators use paraphrase enhanced TMs.
Performance Evaluation of a MANET Testbed for Different Indoor Scenarios: A Comparison Study

A Mobile Ad hoc Network (MANETs) is a group of wireless mobile terminals, which cooperate together by routing packets to each other on a temporary network. MANETs are attracting attention for their potential use in several fields such as collaborative computing and communications in indoor areas. Considering mobility of the terminals, routing is a key process for operation of MANETs. In this paper, we analyze the performance of Optimized Link State Routing (OLSR) protocol in an indoor environment considering different scenarios for horizontal and vertical topologies. We evaluate the scenarios based on throughput and packet-loss metrics. The experimental results show that for vertical topology the throughput and packet loss are affected more by mobility and number of hops, in comparison with the horizontal topology.
Nonprofessional Phagocytic Cell Receptors Involved in Staphylococcus aureus Internalization

Staphylococcus aureus is a successful human and animal pathogen. The majority of infections caused by this pathogen are life threatening, primarily because S. aureus has developed multiple evasion strategies, possesses intracellular persistence for long periods, and targets the skin and soft tissues. Therefore, it is very important to understand the mechanisms employed by S. aureus to colonize and proliferate in these cells. The aim of this review is to describe the recent discoveries concerning the host receptors of nonprofessional phagocytes involved in S. aureus internalization. Most of the knowledge related to the interaction of S. aureus with its host cells has been described in professional phagocytic cells such as macrophages. Here, we showed that in nonprofessional phagocytes the α5β1 integrin host receptor, chaperons, and the scavenger receptor CD36 are the main receptors employed during S. aureus internalization. The characterization and identification of new bacterial effectors and the host cell receptors involved will undoubtedly lead to new discoveries with beneficial purposes.
Serosurvey of Entamoeba Histolytica Exposure among Tepehuanos Population in Durango, Mexico

The seroepidemiology of Entamoeba histolytica infection in Tepehuanos population in Mexico is largely unknown. This study aimed to study the seroprevalence and correlates of E. histolytica antibodies in Tepehuanos in Durango, Mexico. Through a cross-sectional study, we determined the frequency of E. histolytica IgG antibodies in 156 Tepehuanos people in Durango, Mexico using an enzyme-linked immunoassay. Furthermore, we studied the association of E. histolytica seroprevalence with the socio-demographic, clinical, and behavioral characteristics of the Tepehuanos studied. Forty-four (28.2%) Tepehuanos with mean age of 31.03 ± 16.71 years old had anti- E. histolytica IgG antibodies. Multivariate analysis showed that E. histolytica exposure was positively associated with laborer occupation (Odds ratio=2.77; 95% CI: 1.15, 6.66; p=0.02), and history of lymphadenopathy (Odds ratio=4.97; 95% CI: 1.74, 14.13; p=0.002), and negatively associated with soil contact (Odds ratio=0.13; 95% CI: 0.03, 0.53; p=0.004). Other behavioral characteristics including drinking untreated water or unpasteurized milk, and consumption of unwashed raw vegetables or fruits were not associated with E. histolytica exposure. The seroprevalence of E. histolytica infection in Tepehuanos in Durango is higher thanseroprevalences reported in national surveys. The factors associated with E. histolytica seropositivity reported in the present study might aid for the planning and implementation of effective measures against E. histolytica infection.
Time and frequency domain simulation of photonic nanocavities

The confinement of light is an important prerequisite for the excitation of light-matter interactions and nonlinear optics. Photonic nanocavities can have very high quality factors that lead to the desired confinement. We study the feasibility of time domain and frequency domain formulations for the computation of the resonance frequencies and the external quality factors of photonic nanocavities. The time domain approach is accelerated by a special postprocessing technique for the recorded time signals, whereas the eigenvalue computation includes the complex coefficients of the PML absorbing boundary condition. The results of both approaches agree very well.
Parameter-controlled skeletonization: a framework for volume graphics

OF THE THESIS Parameter-Controlled Skeletonization – A Framework for Volume Graphics by Nikhil Gagvani Thesis Director: Professor D. Silver Computer graphics models are typically represented as a collection of polygons or spline patches. Such models only describe the geometry and attributes for the surface of the objects which they represent. Since these models are hollow, interactions which break or deform an object require special consideration. Various natural phenomena like clouds, smoke and water cannot be easily represented using surface based models. An alternative is to use a volumetric representation of objects. Volumetric models can describe the interior properties of objects. These properties can be both physical and optical, which makes it possible to model accurate deformations and light interactions for realistic representation of natural phenomena. Volume graphics focuses on the modeling, manipulation and rendering of volumetric objects. The task of volume modeling, manipulation and deformation is particularly difficult owing to the enormous size of the models. Our research has focused on an efficient abstraction of a volumetric model. We thin the volumetric model into a skeleton using a parameter controlled thinning algorithm. Control of a single thinness parameter allows the skeleton to be represented at various density levels. We then demonstrate the versatility of our multi-scale skeleton for a variety of operations on volumetric models. These operations include deformation, animation,