Miracle-dz/UniFAR-FTUs huggingface dataset:
Executive Impairments Predict Functional Declines in Vascular Dementia

The purpose of this study was to examine the course and predictors of functional decline among patients with vascular dementia (VaD). Twenty-eight VaD patients completed three tests of executive functions and underwent MRI scanning to generate quantitative ratings of subcortical neuropathology at a baseline evaluation. The caregiver-rated Lawton and Brody Activities of Daily Living Questionnaire was used to estimate instrumental activities of daily living (IADLs) at the baseline evaluation and at a 1 year follow-up. We hypothesized that: (a) IADLs would decline significantly over the course of 1 year, and (b) baseline performance on executive tasks and subcortical neuropathology would predict IADL impairment at 1 year follow-up, even after accounting for global cognitive dysfunction. A paired samples t-test demonstrated that IADLs declined significantly over the course of 1 year, and regression analyses revealed that baseline performance on executive tasks was a significant predictor of IADLs at the 1 year follow-up, even after accounting for global cognitive dysfunction. Contrary to our expectation, subcortical neuropathology did not explain unique variance in IADLs after accounting for executive dysfunction. These findings demonstrate that baseline executive dysfunction is a significant and powerful predictor of future functional decline in individuals with VaD.
Constructing Self-Adaptive Systems Using a KAOS Model

Self-adaptive systems have recently attracted attention as flexible software because they can change their own behaviors to react to changes in their environments. Such systems have also attracted attention in the field of pervasive computing. This paper describes our approach to developing self-adaptive systems utilizing a requirements model to build the system architecture. This paper also discusses the implementation style we used using the acquired architecture model, and our evaluation of the feasibility of our development process through a case study.
Evidence that Prefibrotic Myelofibrosis Is Aligned along a Clinical and Biological Continuum Featuring Primary Myelofibrosis

Purpose In the WHO diagnostic classification, prefibrotic myelofibrosis (pre-MF) is included in the category of primary myelofibrosis (PMF). However, strong evidence for this position is lacking. Patients and Methods We investigated whether pre-MF may be aligned along a clinical and biological continuum in 683 consecutive patients who received a WHO diagnosis of PMF. Results As compared with PMF-fibrotic type, pre-MF (132 cases) showed female dominance, younger age, higher hemoglobin, higher platelet count, lower white blood cell count, smaller spleen index and higher incidence of splanchnic vein thrombosis. Female to male ratio and hemoglobin steadily decreased, while age increased from pre-MF to PMF- fibrotic type with early and to advanced bone marrow (BM) fibrosis. Likely, circulating CD34+ cells, LDH levels, and frequency of chromosomal abnormalities increased, while CXCR4 expression on CD34+ cells and serum cholesterol decreased along the continuum of BM fibrosis. Median survival of the entire cohort of PMF cases was 21 years. Ninety-eight, eighty-one and fifty-six percent of patients with pre-MF, PMF-fibrotic type with early and with advanced BM fibrosis, respectively, were alive at 10 years from diagnosis. Conclusion Pre-MF is a presentation mode of PMF with a very indolent phenotype. The major consequences of this contention is a new clinical vision of PMF, and the need to improve prognosis prediction of the disease.
UV-curable palm oil based-urethane acrylate/clay nanocomposites

Synthesis of palm oil based-urethane acrylate (POBUA) resins was carried out by acrylation of epoxidized palm oil (EPOP) using acrylic acid in the presence of a catalyst and followed by isocyanation to obtain the POBUA. Using the monomer as a diluent in the formulation, 4% of photoinitiator and incorporation of organoclay (1-5% wt), nanocomposites were obtained upon UV irradiation. The X-ray Diffractory XRD study revealed that the nanocomposites obtained were of the exfoliation type. The presence of the clay improved the hardness and did not affect the thermal stability. Similarly, it increased the glass transition temperature Tg but reduced the modulus as the clay content was increased. The improvement of the tensile strength was only obtained when the clay concentration was 5 phr.
Bootstrapping grounded word semantics

The paper reports on experiments with a population of visually grounded robotic agents capable of bootstrapping their own ontology and shared lexicon without prior design nor other forms of human intervention. The agents do so while playing a particular language game called the guessing game. We show that synonymy and ambiguity arise as emergent properties in the lexicon, due to the situated grounded character of the agent-environment interaction, but that there are also tendencies to dampen them so as to make the language more coherent and thus more optimal from the viewpoints of communicative success, cognitive complexity, and learnability.
Intravenous magnesium for complex regional pain syndrome type 1 (CRPS 1) patients: a pilot study.

OBJECTIVES To explore the feasibility of intravenous magnesium administration as a potential candidate intervention for a large size trial in Complex Regional Pain Syndrome Type 1 (CRPS 1). DESIGN Randomized clinical trial. SETTING Outpatient pain clinic. PATIENTS Ten CRPS 1 patients. INTERVENTIONS Eight patients received 70 mg/kg magnesium sulphate infusions in 4 hours for 5 days. For blinding purposes, 2 patients received equal amount NaCl 0.9% solutions (data not analyzed or presented). Interventions were accompanied by standardized physical therapy. OUTCOME MEASURES Pain was assessed using an 11-point Box scale (three times daily for a week) and the McGill Pain Questionnaire. Skin sensitivity was measured with the Semmes Weinstein Monofilaments, (other) impairments with the Impairment Level Sumscore. In addition, functional limitations (Radboud Skills Questionnaire, questionnaire rising and sitting down) and quality of life (Short Form-36 [SF-36], EuroQol) were evaluated. Assessments were performed at baseline, 1, 3, 6, and 12 weeks after intervention. RESULTS Mild systemic side effects were experienced and the infusions were locally well tolerated. Pain was significantly reduced at all follow up compared with baseline (T1: P = 0.01, T3: P = 0.04, T6: P = 0.02, T12: P = 0.02). McGill sensory subscale improved significantly at T1 (number of words chosen: P = 0.03 and pain rating index: P = 0.03). Impairment level (P = 0.03) and quality of life (EuroQol P = 0.04, SF-36 physical P = 0.01) were significantly improved at T12. No improvement was found for skin sensitivity and functional limitations. CONCLUSION Intravenous magnesium significantly improved pain, impairment and quality of life and was well tolerated. The results of this pilot study are encouraging and suggest that magnesium IV as a treatment in CRPS 1 should be further explored in a large size formal trial design.
OrthoDB: the hierarchical catalog of eukaryotic orthologs in 2011

The concept of homology drives speculation on a gene’s function in any given species when its biological roles in other species are characterized. With reference to a specific species radiation homologous relations define orthologs, i.e. descendants from a single gene of the ancestor. The large-scale delineation of gene genealogies is a challenging task, and the numerous approaches to the problem reflect the importance of the concept of orthology as a cornerstone for comparative studies. Here, we present the updated OrthoDB catalog of eukaryotic orthologs delineated at each radiation of the species phylogeny in an explicitly hierarchical manner of over 100 species of vertebrates, arthropods and fungi (including the metazoa level). New database features include functional annotations, and quantification of evolutionary divergence and relations among orthologous groups. The interface features extended phyletic profile querying and enhanced text-based searches. The ever-increasing sampling of sequenced eukaryotic genomes brings a clearer account of the majority of gene genealogies that will facilitate informed hypotheses of gene function in newly sequenced genomes. Furthermore, uniform analysis across lineages as different as vertebrates, arthropods and fungi with divergence levels varying from several to hundreds of millions of years will provide essential data for uncovering and quantifying long-term trends of gene evolution. OrthoDB is freely accessible from http://cegg.unige. ch/orthodb.
Prediction of Hemodynamic Response to Epinephrine via Model-Based System Identification

In this study, we present a system identification approach to the mathematical modeling of hemodynamic responses to vasopressor-inotrope agents. We developed a hybrid model called the latency-dose-response-cardiovascular (LDC) model that incorporated 1) a low-order lumped latency model to reproduce the delay associated with the transport of vasopressor-inotrope agent and the onset of physiological effect, 2) phenomenological dose-response models to dictate the steady-state inotropic, chronotropic, and vasoactive responses as a function of vasopressor-inotrope dose, and 3) a physiological cardiovascular model to translate the agent's actions into the ultimate response of blood pressure. We assessed the validity of the LDC model to fit vasopressor-inotrope dose-response data using data collected from five piglet subjects during variable epinephrine infusion rates. The results suggested that the LDC model was viable in modeling the subjects' dynamic responses: After tuning the model to each subject, the r 2 values for measured versus model-predicted mean arterial pressure were consistently higher than 0.73. The results also suggested that intersubject variability in the dose-response models, rather than the latency models, had significantly more impact on the model's predictive capability: Fixing the latency model to population-averaged parameter values resulted in r2 values higher than 0.57 between measured versus model-predicted mean arterial pressure, while fixing the dose-response model to population-averaged parameter values yielded nonphysiological predictions of mean arterial pressure. We conclude that the dose-response relationship must be individualized, whereas a population-averaged latency-model may be acceptable with minimal loss of model fidelity.
Change Detection in Web Page and in Flat Files

Users are interested in current web pages contents in optimum time. In this paper, we describe the technique to detect multiple changes in a web page or Flat files in form of insertion or deletion of the content or structure change. This efficient approach is suitable for client application and for implementing server applications that could serve the needs of users in monitoring modifications to HTML web pages or to flat files made over the time, and that allow reporting and visualizing changes in order to gain insight about the significance and types of such changes.
Similarity measures for depth estimation

This paper deals with similarity measures for stereoscopic depth estimation. These measures are used for matching of image pairs, which is the first step of the estimation process. We analyze influence of these similarity measures on performance of depth estimation with use of commonly known measures and compare the results with some novel proposals. The performance is judged by increase of quality of view synthesis, which is the main aim of this paper. Experimental results over a variety of moving material demonstrate that considerable gain can be attained without any modifications to estimation core and with tuning of matching stage only. Finally, some guidelines on design of well performing similarity measures are given. For the sake of paper, the whole work is described in context of belief-propagation algorithm, but the results and conclusions apply in general for many other state-of-the art optimization techniques.
ProViz: protein interaction visualization and exploration

UNLABELLED ProViz is a tool for the visualization of protein-protein interaction networks, developed by the IntAct European project. It provides facilities for navigating in large graphs and exploring biologically relevant features, and adopts emerging standards such as GO and PSI-MI. AVAILABILITY ProViz is available under the GPL and may be freely downloaded. Source code and binaries are available at http://cbi.labri.fr/eng/proviz.htm CONTACT david.sherman@labri.fr
Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus.

In 1982, the Diagnostic and Therapeutic Criteria Committee of the American College of Rheumatology (ACR)published revised criteria for the classification of systemiclupus erythematosus (SLE) (1). During the ensuing decade several investigators, including Drs. Graham Hughes and Donato Alarcon-Segovia, among others, have described the presence and clinical associations or antiphospholipid antibodies in patients with SLE, as well as the occurrence of theprimary antiphospholipid syndrome (2-5). In 1992, Piette and colleagues suggested that the ACR revised criteria be reevaluated in light of the above discoveries (6).
A Novel Fuzzy Likelihood Measure Algorithm

Similarity measure (PSM) is a kind of measurement that measure the size of similarity between two patterns, it plays a key role in the analysis and research of pattern recognition, machine learning, clustering analysis. This article will firstly study the current PSM theory, point out its application range; secondly, discuss the axiomatic theory of fuzzy likelihood measure, give the frequently-used algorithms of fuzzy likelihood measure that based on axiomatic theory; finally, advance a new kind of fuzzy likelihood function, then establish the fuzzy likelihood measure(FLM) between two fuzzy sets, so as to describe the similar degree between two fuzzy sets. FLM theory not only enriches and improves the PLS theory, and also provides new research methods for the theory research such as pattern recognition, machine learning, clustering analysis and so on.
TOE-CLIPPING OF AMPHIBIANS AND REPTILES

PURPOSE: The humane care of animals used in research is a recognized scientific and ethical responsibility endorsed by Texas Tech University (TTU) and encouraged or mandated by a variety of agency guidelines and regulations, including the Animal Welfare Act. “As with other vertebrate groups, the use of amphibians and reptiles in research and teaching raises ethical questions that must be carefully considered prior to the initiation of a project” (HACC, 2004). Te role of the TTU Animal Care and Use Committee (ACUC) is to assist investigators to meeting these standards in their. This SOP outlines the contexts in which toe clipping can be used in herpetological research at TTU. It also describes a safe, simple, sanitary and humane method to remove toe tips from amphibians and reptiles for the purpose of individually marking animals.
Effects of strain on mechanical and electronic properties of borophene

We reported a first-principles study on the geometric, mechanical, and electronic properties of two structures of borophene (B1 and B2) under three types of strain. Our results show that the mechanical and electronic properties of B1 and B2 are both highly anisotropic. The Young’s modulus are calculated to be 354 and 145 N m−1 (147 and 123 N m−1) along two different directions for B1 (B2). Although B1 under different strains has similar metallic band structures, its pseudogaps at Γ point decrease linearly with compressive and tensile strain. The pseudogaps of B2 are non-monotonic when both uniaxial compressive strain along b direction and biaxial compressive strain increase from −0.05 to −0.08 for the deformation of the lattice structure in the c direction.
Dynamic Programming Method for Analyzing Conjunctive Structures in Japanese

Parsing a long sentence is very difficult, since long sentences often have conjunctions which result in ambiguities. If the conjunctive structures existing in a long sentence can be analyzed correctly, ambiguities can be reduced greatly and a sentence can be parsed in a high successful rate. Since the prior part and the posterior part of a conjunctive structure have a similar structure very often, finding two similar series of words is an essential point in solving this problem. Similarities of all pairs of words are calculated and then the two series of words which have the greatest sum of similarities are found by a technique of dynamic programming. We deal with not only conjunctive noun phrases, but also conjunctive predicative clauses created by "Renyoh chuushi-ho". We will illustrate the effectiveness of this method by the analysis of 180 long Japanese sentences.
Activity, participation, and quality of life 6 months poststroke.

OBJECTIVES To estimate the extent of activity and participation of individuals 6 months poststroke and their influence on health-related quality of life (QOL) and overall QOL, information that would be useful in identifying services that stroke patients would need in the community. DESIGN Inception cohort study. SETTING Ten acute care hospitals in metropolitan areas of the province of Quebec. PARTICIPANTS Persons with first-ever stroke, either ischemic or hemorrhagic. In parallel, a population-based sample of community-dwelling individuals without stroke, frequency matched in age and city district, were also recruited. INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Stroke subjects were interviewed by telephone at 6-month intervals for 2 years of follow-up. The community-dwelling individuals without stroke were also followed. RESULTS A total of 434 persons were interviewed approximately 6 months poststroke. Their average age +/- standard deviation was 68.4+/-12.5 years; the average age of the 486 controls was 61.7+/-12.4 years. The stroke group scored on average 90.6/100 on the Barthel Index; 39% reported a limitation in functional activities, 54% reported limitations with higher-level activities of daily living such as housework and shopping, and 65% reported restrictions in reintegration into community activities. By using the Medical Outcomes 36-Item Short-Form Health Survey (SF-36), persons with stroke rated their physical health 7 points lower than healthy peers; also, 7 of the 8 subscales of the SF-36 were affected by stroke. CONCLUSION Almost 50% of the community-dwelling stroke population lived with sequelae of stroke such that, unless there was a full-time and able-bodied caregiver at home, they needed some form of home help. A large proportion also reported lack of meaningful activity, indicating a need for organized support groups for people with stroke; otherwise, boredom will lead to depression and worsening of function, affect, health status, and QOL.
Diffusion Dynamics of Glycine Receptors Revealed by Single – Quantum Dot Tracking

clicking here. colleagues, clients, or customers by , you can order high-quality copies for your If you wish to distribute this article to others here. following the guidelines can be obtained by Permission to republish or repurpose articles or portions of articles ): November 12, 2012 www.sciencemag. org (this information is current as of The following resources related to this article are available online at
Harnessing social context for improved face recognition

Face recognition is traditionally based on features extracted from face images which capture various intrinsic characteristics of faces to distinguish between individuals. However, humans do not perform face recognition in isolation and instead utilize a wide variety of contextual cues as well in order to perform accurate recognition. Social context or co-occurrence of individuals is one such cue that humans utilize to reinforce face recognition output. A social graph can adequately model social-relationships between different individuals and this can be utilized to augment traditional face recognition methods. In this research, we propose a novel method to generate a social-graph based on a collection of group photographs and learn the social context information. We also propose a novel algorithm to combine results from a commercial face recognition system and social context information to perform face identification. Experimental results on two publicly available datasets show that social context information can improve face recognition and help bridge the gap between humans and machines in face recognition.
Controlled synergistic strategy to fabricate 3D-skeletal hetero-nanosponges with high performance for flexible energy storage applications

The simple combination of electrospinning and electrospraying has previously been studied by some researchers to fabricate novel nanomaterials for energy applications in batteries and supercapacitors. However, the performance of the resultant materials (especially electrodes) is not sufficient despite the collaboration of these two boundless methods. Herein, we report the best approach towards effective synergistic control of the two techniques to improve the electrochemical performance of the resultant electrode materials. Interestingly, the reported modified technique yielded unusual 3D-skeletal architectures with dissimilar but remarkable capacitance values. The current methodology is an easy and inexpensive approach to realizing 3D high-performance electroactive materials.
Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning

Motion planning is an extremely well-studied problem in the robotics community, yet existing work largely falls into one of two categories: computationally efficient but with few if any safety guarantees, or able to give stronger guarantees but at high computational cost. This work builds on a recent development called FaSTrack in which a slow offline computation provides a modular safety guarantee for a faster online planner. We introduce the notion of “meta-planning” in which a refined offline computation enables safe switching between different online planners. This provides autonomous systems with the ability to adapt motion plans to a priori unknown environments in real-time as sensor measurements detect new obstacles, and the flexibility to maneuver differently in the presence of obstacles than they would in free space, all while maintaining a strict safety guarantee. We demonstrate the meta-planning algorithm both in simulation and in hardware using a small Crazyflie 2.0 quadrotor.
Graphical User Interface Aided Online Fault Diagnosis of Electric Motor - DC motor case study

This paper contains graphical user interface (GUI) aided online fault diagnosis for DC motor. The aim of the research is to prevent system faults. Online fault diagnosis has been studied. Design of fault diagnosis has two main levels: Level 1 comprises a traditional control loop; Level 2 contains knowledge based fault diagnosis. Fault diagnosis technique contains feature extraction module, feature cluster module and fault decision module. Wavelet analysis has been used for the feature extraction module. For the feature cluster module, fuzzy cluster has been applied. Faults effects are examined on the system using statistical analysis. In this study Fault Diagnosis technique obtains fault detection, identification and halting the system. In the meantime graphical user interface (GUI) is opened when fault is detected. GUI shows the measurement value, fault time and fault type. This property gives some information about the system to the personnel. As seen from the simulation results, faults can be detected and identified as soon as fault appears. In summary, if the system has a fault diagnosis structure, system dangerous situations can be avoided.