Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical study of 39 patients with atypical lacunar syndrome

The aim of this study was to describe the clinical characteristics of atypical lacunar syndrome (ALS) based on data collected from a prospective acute stroke registry. In total, 2500 acute stroke patients were included in a hospital based prospective stroke registry over a 12 year period, of whom 39 were identified as having ALS and radiologically proven (by computed tomography or magnetic resonance imaging) lacunes. ALS accounted for 1.8% of all acute stroke patients, 2.1% of acute ischaemic stroke, and 6.8% of lacunar syndromes. ALS included dysarthria facial paresis (n = 12) or isolate dysarthria (n = 9), isolated hemiataxia (n = 4), pure motor hemiparesis with transient internuclear ophthalmoplegia (n = 4), pure motor hemiparesis with transient subcortical aphasia (n = 3), unilateral (n = 2) or bilateral (n = 3) paramedian thalamic infarct syndrome, and hemichorea hemiballismus (n = 2). Atypical lacunar syndromes were due to small vessel disease in 96% of patients. Atherothrombotic infarction occurred in one patient and cardioembolic infarct in another, both presenting pure dysarthria. Outcome was good (in hospital mortality 0%, symptom free at discharge 28.2%). After multivariate analysis, the variables of speech disturbances, nausea/vomiting, ischaemic heart disease, and sensory symptoms were found to be significantly associated with ALS. In conclusion, atypical lacunar syndrome is an infrequent stroke subtype (one of each 14 lacunar strokes). ALS occurred in 6.8% of lacunar strokes. Isolated dysarthria or dysarthria facial paresis were the most frequent presenting forms. The prognosis of this infrequent non-classic lacunar syndrome is good.
Optimal Dose of Epidural Dexmedetomidine Added to Ropivacaine for Epidural Labor Analgesia: A Pilot Study

Background Dexmedetomidine combined with local anesthetics can decrease the concentration of epidural ropivacaine. However, the optimal dose of epidural dexmedetomidine combined with ropivacaine for labor analgesia is still uncertain. This study investigated the effect of adding different dose of epidural dexmedetomidine to ropivacaine during epidural labor analgesia. Methods One hundred women were randomly assigned to one of the four groups (Groups A, B, C, and D received 0.25, 0.5, 0.75, and 1 μg/ml of dexmedetomidine plus 0.1% ropivacaine, resp.). The onset of epidural anesthesia and stages of labor were studied, and pain was assessed using a visual analogue scale (VAS). Hemodynamic parameters and fetal heart rate were monitored. Apgar scores and umbilical artery pH were recorded. The side effects, if any, were recorded also. Results The addition of 0.25, 0.5, and 0.75 μg/ml of dexmedetomidine to 0.1% ropivacaine provided safe and effective analgesia, but 1 μg/ml of dexmedetomidine resulted in increasing incidence of motor block. The hemodynamic parameters were similar between groups (P > 0.05). Side effects in Group D were significantly higher than those in the other three groups (P < 0.05). Conclusions When dexmedetomidine is combined with 0.1% ropivacaine, the optimal concentration of dexmedetomidine is 0.5 μg/ml for epidural labor analgesia (this trial is registered with ChiCTR-OPC-16008548).
Extension of the Bernoulli and Eulerian Polynomials of Higher Order and Vector Partition Function

Following the ideas of L. Carlitz we introduce a generalization of the Bernoulli and Eulerian polynomials of higher order to vectorial index and argument. These polynomials are used for computation of the vector partition function W(s, D), i.e., a number of integer solutions to a linear system x ≥ 0, Dx = s. It is shown that W(s, D) can be expressed through the vector Bernoulli polynomials of higher order.
Relational Constraint Driven Test Case Synthesis for Web Applications

This paper proposes a relational constraint driven technique that synthesizes test cases automatically for web applications. Using a static analysis, servlets can be modeled as relational transducers, which manipulate backend databases. We present a synthesis algorithm that generates a sequence of HTTP requests for simulating a user session. The algorithm relies on backward symbolic image computation for reaching a certain database state, given a code coverage objective. With a slight adaptation, the technique can be used for discovering workflow attacks on web applications.
ESCRT functions in autophagy and associated disease

Mutations in the Endosomal Sorting Complexes Required for Transport (ESCRT)-III subunit CHMP2B are associated with frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS), both human neurodegenerative diseases characterized by accumulation of ubiquitinated proteins aggregates in affected neurons. The ESCRT proteins are known to be involved in diverse cellular processes such as mRNA transport, cytokinesis, transcriptional regulation and sorting of transmembrane proteins into the inner vesicles of the multivesicular body (MVB) during endocytosis. It was until recently not clear how ESCRT function may be involved in neurodegeneration. New findings in mammalian cells and in Drosophila melanogaster show that functional ESCRTs are required for efficient fusion of autophagic vesicles with the endocytic pathway and for degradation of autophagic cargo. Moreover, defective ESCRT function led to the accumulation of cytoplasmic protein aggregates containing ubiquitin, p62/Sequestosome-1 and TAR DNA binding protein 43 (TDP-43). Using cellular and Drosophila models for Huntington’s disease it was also shown that reduced ESCRT levels also inhibit clearance of expanded polyglutamine aggregates and aggravate their neurotoxic effect. These data indicate that efficient autophagic degradation requires functional MVBs and provides a possible explanation to the observed neurodegenerative phenotype seen in patients with CHMP2B mutations.
Neurohypophyseal Hormones : From Genomics and Physiology to Disease Sodium-level-sensitive sodium channel Nax is expressed in glial laminate processes in the sensory circumventricular organs

Eiji Watanabe, Takeshi Y. Hiyama, Hidetada Shimizu, Ryuji Kodama, Noriko Hayashi, Seiji Miyata, Yuchio Yanagawa, Kunihiko Obata, and Masaharu Noda Laboratory of Neurophysiology, Division of Molecular Neurobiology, and Laboratory of Morphodiversity, National Institute for Basic Biology, Okazaki, Aichi; School of Life Science, The Graduate University for Advanced Studies, Okazaki, Aichi; Department of Applied Biology, Kyoto Institute for Technology, Matsugasaki, Sakyo, Kyoto; Department of Genetic and Behavioral Neuroscience, Graduate School of Medicine, Gunma University, Maebashi, Gunma; and The Institute of Physical and Chemical Research, Brain Science Institute, Wako, Saitama, Japan
1 . 2 Pose Computation from a Single 2 D View

Face pose information is valuable for a variety of applications including unconstrained face recognition, natural human computer interfaces, and video database indexing. 3D pose estimation is a critical requirement for accurate face recognition using view varying representations, such as 2D intensity images. 3D pose extraction in this context requires 3D information, which is present in image sequences if we assume the moving objects in the sequence are primarily rigid. This paper presents a motion based pose estimation system which computes the 3D pose of the head in each frame of a video sequence. Generic low level features, such as corners, are identified and tracked in the video stream. The feature tracks are processed by a shape from motion algorithm which produces estimates of 3D geometry and pose. The geometry and pose estimates are considered together with facial structure constraints, temporal constraints, and initial pose estimates to refine knowledge of the specific face structure and its pose. We describe this system and show that it works on human faces. This is significant because the face has many smooth surfaces which make it difficult to extract dense intensity features. In Face Recognition: From Theory to Applications, H. Wechsler, P. J. Phillips, V. Bruce, F. Fogelman Soulie, and T. Huang (Eds.), NATO ASI Series F, Springer-Verlag, 1998.
A Second-Order All-Digital TDC with Low-Jitter Frequency Shift Oscillators and Dynamic Flipflops

We present a small-area second-order all-digital time-todigital converter (TDC) with two frequency shift oscillators (FSOs) comprising inverter chains and dynamic flipflops featuring low jitter. The proposed FSOs can maintain their phase states through continuous oscillation, unlike conventional gated ring oscillators (GROs) that are affected by transistor leakage. Our proposed FSOTDC is more robust and is eligible for all-digital TDC architectures in recent leaky processes. Low-jitter dynamic flipflops are adopted as a quantization noise propagator (QNP). A frequency mismatch occurring between the two FSOs can be canceled out using a least mean squares (LMS) filter so that second-order noise shaping is possible. In a standard 65-nm CMOS process, an SNDR of 61 dB is achievable at an input bandwidth of 500 kHz and a sampling rate of 16 MHz, where the respective area and power are 700 μm2 and 281 μW. key words: ADC, TDC, oscillator, digital circuit, adaptive LMS filtering
Pattern Mining in Frequent Dynamic Subgraphs

Graph-structured data is becoming increasingly abundant in many application domains. Graph mining aims at finding interesting patterns within this data that represent novel knowledge. While current data mining deals with static graphs that do not change over time, coming years will see the advent of an increasing number of time series of graphs. In this article, we investigate how pattern mining on static graphs can be extended to time series of graphs. In particular, we are considering dynamic graphs with edge insertions and edge deletions over time. We define frequency in this setting and provide algorithmic solutions for finding frequent dynamic subgraph patterns. Existing subgraph mining algorithms can be easily integrated into our framework to make them handle dynamic graphs. Experimental results on real-world data confirm the practical feasibility of our approach.
LEWIS: Latent Embeddings for Word Images and Their Semantics

The goal of this work is to bring semantics into the tasks of text recognition and retrieval in natural images. Although text recognition and retrieval have received a lot of attention in recent years, previous works have focused on recognizing or retrieving exactly the same word used as a query, without taking the semantics into consideration. In this paper, we ask the following question: can we predict semantic concepts directly from a word image, without explicitly trying to transcribe the word image or its characters at any point? For this goal we propose a convolutional neural network (CNN) with a weighted ranking loss objective that ensures that the concepts relevant to the query image are ranked ahead of those that are not relevant. This can also be interpreted as learning a Euclidean space where word images and concepts are jointly embedded. This model is learned in an end-to-end manner, from image pixels to semantic concepts, using a dataset of synthetically generated word images and concepts mined from a lexical database (WordNet). Our results show that, despite the complexity of the task, word images and concepts can indeed be associated with a high degree of accuracy.
Graft-versus-host disease in a child with neuroblastoma after autologous stem cell transplantation

In the pediatric population, hematopoietic stem cell transplantation (HSCT) is used to treat a wide variety of diseases, both malignant and nonmalignant. For many of these diseases, HSCT is a well-established treatment. Acute graft-versus-host disease (GVHD) continues to be a leading cause of morbidity and mortality after allogeneic hematopoietic stem cell transplantation. Graft versus host disease is a common complication of allo-SCT which is induced by donor T cell recognition of recipient alloantigens. The occurrence of autologous GVHD suggests that inappropriate recognition of host self-antigens may occur. GVHD in patients who received autologous HSCT is extremely rare compared to patients who received allogeneic HSCT. We present the case of a 4-year-old girl with metastatic neuroblastoma who spontaneously developed autologous GVHD after autologous HSCT.
THUIR at TREC 2008: Blog Track

This is the second time we participate in TREC Blog Track. There are three main tasks in the track, relevant finding task, opinion finding task and polarity task. In this year, we use multi-field relevance ranking in relevant finding task; and in opinion finding task, we focused on the combination of relevance score and opinionate score use a unified generation model; in polarity task, we develop two new methods to find out positive and negative blogs.
Update on mechanisms of allergen injection immunotherapy

The incidence of allergic diseases is increasing at an alarming rate, paricularly in countries with a western lifestyle. Currently in the UK, approximately one quarter of the population suffers from seasonal allergic rhinitis. Most patients can be treated with conventional pharmacotherapy on an ‘as needed’ symptomatic basis whereas allergen immunotherapy represents a useful treatment approach in carefully selected patients with severe, IgE‐mediated disease. Allergen immunotherapy can deliver improvements in hayfever symptoms over and above that which can be achieved by pharmacotherapy. In addition, unlike pharmacotherapy, allergen immunotherapy provides long‐term clinical benefits. These include long‐term disease remission, prevention of new atopic sensitisations and a reduction in disease progression from rhinitis to asthma. This review provides a comprehensive update on the mechanisms of allergen injection immunotherapy, recent data on the mechanisms of sublingual allergen immunotherapy is also included.
Control applications using computational intelligence methodologies

The ambiguity, robustness and performance of systems becomes increasingly evident as the complexity and size increase in industrial processes. Under these circumstances, conventional control techniques such as PID control, nonlinear feedback control, LQG control and Hinfin control have several disadvantages because they are hard or inflexible and cannot handle qualitative knowledge. This may explain the dominant role of emerging "intelligent control, using soft computing" as an interesting alternative. This means that increasing complexity requires an increase in intelligence in order to provide robustness and adaptability. Intelligent techniques such as fuzzy systems (FS), neural networks (NN) and genetic algorithms (GA) can be combined using the resources of such techniques complementary. This paper is a report of a research work in intelligent control of the GISIA group (Grupo de Investigation en Sistemas Inteligentes y Aplicaciones) at Escuela Politecnica Nacional
Design of a haptic cane for walking stability and rehabilitation

Rehabilitation is suggested to be achieved by natural walk, and it may require assistive devices. Assistance provided should motivate the patient to use his own muscle strength rather than be dependent upon the device. Therefore, the devices should only provide minimum support required for the safety, stability, confidence building and guidance. These can be achieved with light touch cue provided at the patient's hands. The proposed haptic cane design has an active haptic handle that can give light touch cue depending upon the body orientation sensed through smartphone. The active haptic handle can be manipulated by a Pantograph mechanism. The Pantograph and arm support's positions and orientation are adjustable. The handle and arm support are mounted on the cane having a single wheel, coupled with motor, shaft encoder and an active brake, for achieving a controlled movement. The proposed design will be able to provide rehabilitation and postural stability for the patients.
Non-Rigid Metric Shape and Motion Recovery from Uncalibrated Images Using Priors

In this paper we focus on the estimation of the 3D Euclidean shape and motion of a non-rigid object which is moving rigidly while deforming and is observed by a perspective camera. Our method exploits the fact that it is often a reasonable assumption that some of the points are deforming throughout the sequence while others remain rigid. First we use an automatic segmentation algorithm to identify the set of rigid points which in turn is used to estimate the internal camera calibration parameters and the overall rigid motion. Finally we formalise the problem of non-rigid shape estimation as a constrained non-linear minimization adding priors on the degree of deformability of each point. We perform experiments on synthetic and real data which show firstly that even when using a minimal set of rigid points it is possible to obtain reliable metric information and secondly that the shape priors help to disambiguate the contribution to the image motion caused by the deformation and the perspective distortion.
Method and system for battery state and parameter estimation

A method for estimating a value representing the current operating condition of the battery and the system, SOC is the SOH of the battery by the step and the SOH of estimating the SOC of the battery constituting the one of the inner state constituting the one of the internal parameters and a step of estimating. In particular, the method for estimating the SOC of the battery includes the steps of the SOC is carried out by internal state prediction of the battery, one of the internal state; Performing an uncertainty prediction of said internal state prediction; Correcting said internal state prediction and said uncertainty prediction; And the step of applying an algorithm to repeat step, step and the correction step of performing said uncertainty prediction to perform said internal state prediction to calculate the uncertainty of progress for the estimation to the SOC estimated to proceed with respect to the SOC It includes. A method for estimating the current parameters of an electrochemical cell system and a system, performing internal parameter prediction of said cell; Performing an uncertainty prediction of said internal parameter prediction; Correcting said internal parameter prediction and said uncertainty prediction; In order to calculate the uncertainty to proceed for estimating the parameter prediction for the traveling and the parameter comprises the step of applying an algorithm for repeating the internal parameter prediction, said uncertainty prediction and said correcting. SOC, SOH, elctrochemical cell, charged state, state, parameter
Team-based rehabilitation improves long-term aerobic capacity and health-related quality of life in patients with chronic inflammatory arthritis

Purpose. To examine the effect of an interdisciplinary, out-patient rehabilitation programme for patients with chronic inflammatory arthritis on aerobic capacity and health-related quality of life (HRQOL). Method. One hundred and seventy-four patients, 115 with peripheral arthritis (PA) (91 women, mean age 53 years, disease duration 16 years) and 59 with spondylarthropathies (SpA), (27 women, mean age 46 years, disease duration 14 years) were consecutively enrolled in 18 days of interdisciplinary rehabilitation. We report data from evaluations at inclusion, at discharge, and at 4 and 12 months using a sub-maximal treadmill test of aerobic capacity and the Nottingham Health Profile (NHP) (t-test). Results. At inclusion, less than 20% of all patients tested had aerobic capacity classified as ‘average’ or better. At discharge, 41% (PA) and 54% (SpA) reached the ‘average’ level or better with improvements maintained for 12 months. The total NHP scores improved in both groups (mean change −12 (99%CI –15, –9) for PA; mean change –13 (99%CI –19, –8) for SpA) and were maintained. Conclusion. Aerobic capacity and HRQOL improved significantly in this interdisciplinary out-patient rehabilitation study, and improvements were maintained for 12 months. The preserved level of aerobic capacity after 12 months indicated a change to a more physically active lifestyle among the participants.
ffects of dietary methionine and lysine supplementation on growth performance, meat composition and rumen fermentation pattern in goats

This experiment was conducted to determine the effect of methionine and lysine supplementation on growth performance, meat quality and rumen fermentation parameters in growing goats. Twenty Xiangdong black goats with initial body weights of 18.1 ± 2.07 kg were used and randomly assigned into four treatments including: no additive (Control), 1.27% Methionine (T1), 2.45% Lysine-HCl (T2), 1.27% Methionine plus 2.45% Lysine-HCl (T3). After 28 days of feeding, the goats were slaughtered and samples were collected for the study. Supplementation of methionine and lysine had no effect on growth performance, meat quality, tissue chemical composition and rumen fermentation parameters. These findings suggest that the mode of supplementation of methionine and lysine used failed to detect the variation.
An Analysis of Out-of-Wedlock Childbearing in the United States

This paper relates the erosion of the custom of shotgun marriage to the legalization of abortion and the increased availability of contraception to unmarried women in the United States. The decline in shotgun marriage accounts for a significant fraction of the increase in out-of-wedlock first births. Several models illustrate the analogy between women who do not adopt either birth control or abortion and the hand-loom weavers, both victims of changing technology. Mechanisms causing female immiseration are modeled and historically described. This technology-shock hypothesis is an alternative to welfare and job-shortage theories of the feminization of poverty.
Creatine Kinase and Endocrine Responses of Elite Players Pre, During, and Post Rugby League Match Play

McLellan, CP, Lovell, DI, and Gass, GC. Creatine kinase and endocrine responses of elite players pre, during, and post rugby league match play. J Strength Cond Res 24(11): 2908-2919, 2010-The purpose of the present study was to (a) examine player-movement patterns to determine total distance covered during competitive Rugby League match play using global positioning systems (GPSs) and (b) examine pre, during, and postmatch creatine kinase (CK) and endocrine responses to competitive Rugby League match play. Seventeen elite rugby league players were monitored for a single game. Player movement patterns were recorded using portable GPS units (SPI-Pro, GPSports, Canberra, Australia). Saliva and blood samples were collected 24 hours prematch, 30 minutes prematch, 30 minutes postmatch, and then at 24-hour intervals for a period of 5 days postmatch to determine plasma CK and salivary testosterone, cortisol, and testosterone:cortisol ratio (T:C). The change in the dependent variables at each sample collection time was compared to 24-hour prematch measures. Backs and forwards traveled distances 5,747 ± 1,095 and 4,774 ± 1,186 m, respectively, throughout the match. Cortisol and CK increased significantly (p < 0.05) from 30 minutes prematch to 30 minutes postmatch. Creatine kinase increased significantly (p < 0.05) postmatch, with peak CK concentration measured 24 hours postmatch (889.25 ± 238.27 U·L−1). Cortisol displayed a clear pattern of response with significant (p < 0.05) elevations up to 24 hours postmatch, compared with 24 hours prematch. The GPS was able to successfully provide data on player-movement patterns during competitive rugby league match play. The CK and endocrine profile identified acute muscle damage and a catabolic state associated with Rugby League match play. A return to normal T:C within 48 hours postmatch indicates that a minimum period of 48 hours is required for endocrine homeostasis postcompetition. Creatine kinase remained elevated despite 120 hours of recovery postmatch identifying that a prolonged period of at least 5 days modified activity is required to achieve full recovery after muscle damage during competitive Rugby League match play.