Miracle-dz/UniFAR-FTUs huggingface dataset:
Decreased Gray Matter Concentration and Local Synchronization of Spontaneous Activity in the Motor Cortex in Duchenne Muscular Dystrophy

BACKGROUND AND PURPOSE: Patients with DMD have demonstrated functional abnormalities in the motor-related brain areas in previous PET, MRS, and TMS studies. We applied structural MR imaging and RS-fMRI in patients with DMD for the first time, and aimed to investigate the GMC and ReHo or local synchronization of spontaneous activity in the motor cortex. MATERIALS AND METHODS: Ten boys with DMD (6.4–14.0 years of age) and 15 healthy controls (7.9–15.1 years of age) underwent brain structural MR imaging and RS-fMRI scanning. GMC and local synchronization of spontaneous activity in the motor cortex were analyzed by using VBM and ReHo approaches, respectively. RESULTS: Compared with healthy controls, boys with DMD showed decreased GMC in the left PSMC and decreased ReHo in the bilateral PMSC as well as in the supplementary motor area (P < .05, corrected). CONCLUSIONS: The current results indicate that boys with DMD have both GMC loss and decreased local synchronization of spontaneous activity in the motor cortex, which might be due to the deficiency of dystrophin in the brain.
A Novel Indoor Heat Source Distribution Surveillance System through Sensor Network

A novel method is advanced in this approach; using cheap sensor module and combining a characteristic of sensor networks to attend to an overall monitoring, low-cost, and simplify. However, several systems use different kinds of sensor (i.e. radar, ultrasonic, and laser-scanner). They might be expensive, complexity and the monitoring area are limited. And in our research, a concept of image processing is recommended. Our sensor-board is produced by Dr Robot, Inc., pyroelectric human motion sensor module, the sensor can detect a motion and a presence alarm of target. The goal of our system is to save energy by controlling light and air condition. Users can get the heat source distribution; and control the air condition through our system effectively.
Task-relevant relaxation network for visuo-motory systems

The basic idea of our approach is to avoid the separation of perception and the generation of action. Therefore, information extracted from the environment is selected according to the relevance of the system's intended action. Task-specific attention emerges in an attention selection map from a competition among several hypotheses in consideration of task relevant subgoals. This decision initiates the emergence of a task-specific focus of attention in a saliency map which refers to a textured or coloured region in a scene. The networks underlying the attention selection map and the saliency map consist of interacting columns with local excitatory and global inhibitory coupled feedback. In the attention selection map lateral cooperation is used as a way to integrate task pertinent subgoals. Implemented subgoals are the size of regions, the security of a classification hypothesis and the valuation of the hypothesis for the task. The performance is demonstrated on a real-world selection of textured objects for a robot grasping task.
Identification of Multiword Expressions in Technical Domains: Investigating Statistical and Alignment-Based Approaches

Multiword Expressions (MWEs) are one of the stumbling blocks for more precise Natural Language Processing (NLP) systems. The lack of coverage of MWEs in resources can impact negatively on the performance of tasks and applications, and can lead to loss of information or communication errors; especially in technical domains where MWE are frequent. This paper investigates some approaches to the identification of MWEs in technical corpora based on: association measures, part-of-speech and lexical alignment information. We examine the influence of some factors on their performance such as sources of information for identification and evaluation. While the association measures emphasize recall, the alignment method focuses on precision.
A Choice Prediction Competition for Market Entry Games: An Introduction

A choice prediction competition is organized that focuses on decisions from experience in market entry games (http://sites.google.com/site/gpredcomp/ and http://www.mdpi.com/si/games/predict-behavior/). The competition is based on two experiments: An estimation experiment, and a competition experiment. The two experiments use the same methods and subject pool, and examine games randomly selected from the same distribution. The current introductory paper presents the results of the estimation experiment, and clarifies the descriptive value of several baseline models. The experimental results reveal the robustness of eight behavioral tendencies that were documented in previous studies of market entry games and individual decisions from experience. The best baseline model (I-SAW) assumes reliance on small samples of experiences, and strong inertia when the recent results are not surprising. The competition experiment will be run in May 2010 (after the completion of this introduction), but they will not be revealed until September. To participate in the competition, researchers are asked to E-mail the organizers models (implemented in computer programs) that read the incentive structure as input, and derive the predicted behavior as an output. The submitted models will be ranked based on their prediction error. The winners of the competition will be invited to publish a paper that describes their model.
APPLYING NATURAL LANGUAGE PROCESSING TO TEXT ANALYSIS IN EDUCATIONAL CONTEXT

In this paper, we use the term academic text to refer to any free text composed in an academic setting, covering the whole spectrum from first year students’ reviews of available scientific texts up to a scientist’s struggling, but still fragile text concerning his or her new discoveries. These academic texts can be processed by various information technologies. We can now outline the landscape of applying technologies for assessing academic texts as a cube (see Figure 1) where a particular application can be identified as its position indicated by the three dimensions of the purpose of assessment, the kind of feedback, and the type of contribution.
EPIC 95°W Observations of the Eastern Pacific Atmospheric Boundary Layer from the Cold Tongue to the ITCZ

Abstract The atmospheric boundary layer (ABL) along 95°W in the eastern equatorial Pacific during boreal autumn is described using data from the East Pacific Investigation of Climate (EPIC) 2001, with an emphasis on the evolution of the thermodynamic ABL properties from the cold tongue to the cold-advection region north of the sea surface temperature (SST) front. Surface sensible and latent heat fluxes and wind stresses between 1°S and 12°N are calculated from data from eight NCAR C-130 research aircraft flights and from Tropical Atmosphere Ocean (TAO) buoys. Reduced surface wind speed and a 10 m s−1 jet at a height of 500 m are found over the equatorial cold tongue, demonstrating the dependence of the surface wind speed on surface stability. The ABL exhibits a maximum in cloud cover on the north (downwind) side of the warm SST front, at 1°–3°N. Turbulent mixing driven by both surface buoyancy flux and radiative cooling at the cloud tops plays a significant role in maintaining the depth and structure of t.
Based Approach for Simple Robust PI Controller Tuning Design

This paper addresses the problem of providing simple tuning rules for a Two-Degree-of-Freedom (2-DoF) PI controller (PI2) with robustness considerations. In order to deal with the well known performance/robustness tradeoff,an analysis is conducted first that allows the determination of the lowest closed-loop time constant that guarantees a desi red robustness. Simple tuning rules are generated by consideri ng specific values for the Maximum Sensitivity value. These tun i g rules, provide all the controller parameters parameterized in terms of the open-loop normalized dead-time allowing the us er to select a High/Medium/Low robust closed-loop control sys tem.
Load-balancing strategy of multi-gateway for ad hoc Internet connectivity

Mobile ad hoc networks (MANET) are autonomous, infrastructureless networks that support multi-hop communication through IP routing. MANET and Internet have many differences. These differences are not only the structure and topology of the networks, but also communication patterns of nodes in both networks. Therefore, it is a challenging problem for MANET to access to the Internet due to these differences. There are many kinds of accessing mode such as single fix gateway or multi-gateway, where load-balancing is the most important problem. In this paper, we propose the dynamic gateway concept that acts as an interface between MANET and the Internet. These dynamic gateways can use mobile IP and DSDV protocol when they communicate with the Internet and interact with MANET, respectively. The dynamic gateway is used to solve the load-balancing problem. Several simulation experimental results in the dynamic gateway environment show that the performance of network has been improved.
Multicomponent compression of DNA microarray images

— In this work, the correlation present among pairs of DNA microarray images is analyzed using Pearson’s r as a metric. A certain amount of correlation is found, especially for red/green channel image pairs, with averages over 0.75 for all benchmark sets. Based on that, the lossless multicomponent compression features of JPEG2000 have been tested on each set, considering diﬀerent spectral and spatial transforms (DWT 5/3, DPCM, R-Haar and POT). Improvements of up to 0.6 bpp are obtained depending on the transform considered, and these improvements are consistent to the correlation values observed.
Comparison of Dirac and H.264/AVC Coding Quality Using Objective Video Quality Measures

Digital video braodcasting requires high image quality, keeping the bitrate as low as possible at the same time. In the digital photography, new image compression standard named JPEG2000 proves to be more efficient than JPEG in subjective evaluation. JPEG2000 uses discrete wavelet transform (DWT) while JPEG uses discrete cosine transform (DCT). In video coding there are two most popular multi-purpose coding formats, MPEG-2 and H.264/AVC also known under the name MPEG-4 Part 10. Both of these formats use DCT. This paper present comparison of the coding quality of H.264/AVC and newly developed Dirac codec. Dirac codec unlike H.264/AVC uses DWT. For the quality comparison of two standards, PSNR, VQM and SSIM methods are used.
Facial feature extraction and textual description classification using SVM

Facial feature detection and extraction plays a significant role in face recognition. In this paper, we proposed a new approach for face feature description using support vector machine classifier. Searching image from the image contents is a major challenge in computer vision and pattern recognition. The textual label is assigned to the face feature according to the semantic meaning of the feature. The concept of the textual image description gives advantages to the user to search the image with the help of the visual attributes of the image. The face features like eyes, nose, mouth are labeled with the visual attributes like small, normal and large.
Application of Digital Image Analysis and Flow Cytometry To Enumerate Marine Viruses Stained with SYBR Gold

ABSTRACT A novel nucleic acid stain, SYBR Gold, was used to stain marine viral particles in various types of samples. Viral particles stained with SYBR Gold yielded bright and stable fluorescent signals that could be detected by a cooled charge-coupled device camera or by flow cytometry. The fluorescent signal strength of SYBR Gold-stained viruses was about twice that of SYBR Green I-stained viruses. Digital images of SYBR Gold-stained viral particles were processed to enumerate the concentration of viral particles by using digital image analysis software. Estimates of viral concentration based on digitized images were 1.3 times higher than those based on direct counting by epifluorescence microscopy. Direct epifluorescence counts of SYBR Gold-stained viral particles were in turn about 1.34 times higher than those estimated by the transmission electron microscope method. Bacteriophage lysates stained with SYBR Gold formed a distinct population in flow cytometric signatures. Flow cytometric analysis revealed at least four viral subpopulations for a Lake Erie sample and two subpopulations for a Georgia coastal sample. Flow cytometry-based viral counts for various types of samples averaged 1.1 times higher than direct epifluorescence microscopic counts. The potential application of digital image analysis and flow cytometry for rapid and accurate measurement of viral abundance in aquatic environments is discussed.
Review of recovery techniques to recapture lost targets in wireless sensor networks

Target tracking, which is one of the most important applications in wireless sensor networks, has received considerable attention in the last few years. The main objective of Object tracking sensor network (OTSN) is to track single or multiple targets and report their latest location to the application's user. However, these targets may get lost due to several reasons such as presence of obstacles or holes in the network, sudden changes in the target's trajectory, localization and prediction errors. This can be a crucial issue in sensitive applications like the military field. To overcome such problem, efficient and strong approaches are needed to retrieve the lost target in a timely manner. This article reviews some recovery strategies proposed in literature, and discusses the main reasons that result in target losses. Then the paper provides a detailed analysis and comparison between these strategies.
A Study of Visual Attention System Based on Recognition Feedback for Image Sequence

The research focuses on approach for robot’ s vision system. We propose the selective visual attention system which realiz es high-speed processing flexible to environmental change. In order to obtain visual attention point, proposed system extracts three kinds of visual features: still image feature, blinking feature and motion feature. Proposed system introduced intention maps to attend interested area. Intention maps are updated dynamically to represent the existence of attention target. As the result of experiments, the proposed system can confirm visual transition to the interest object.
Responses of estuarine and coastal marine phytoplankton to nitrogen and phosphorus enrichment

A cross‐ecosystem comparison of data obtained from 92 coastal zone ecosystems worldwide revealed a strong positive response of marine phytoplankton biomass to nutrient enrichment that is highly consistent with the general patterns reported previously in the limnological literature for freshwater lakes and reservoirs. Average concentrations of chlorophyll a in estuarine and coastal marine systems were strongly dependent on the mean concentrations of total nitrogen and total phosphorus in the water column. Moreover, as is true of freshwater ecosystems, the identity of the primary growth‐limiting nutrient for marine phytoplankton appeared to be generally predictable from watercolumn total nitrogen : total phosphorus (TN : TP) ratios. This similarity in physiological response to nutrients likely derives from the shared evolutionary histories of marine and freshwater phytoplankton.
Supervision Essentials for Accelerated Experiential Dynamic Psychotherapy

Healing-oriented and attachment based, accelerated experiential dynamic psychotherapy (AEDP) is a comprehensive, integrative, and transformative model of psychotherapy. Its fundamentally experiential approach synthesizes attachment research, emotion theory, experiential ways of working, developmental models, trauma studies, body-focused treatments, and affective neuroscience into a coherent theoretical framework that informs both therapy and supervision. AEDP supervision is a psychotherapy-based model that has emerged from AEDP theory and clinical practice. Supervisees develop AEDP skills and increase their relational and affective capacities through the experience of AEDP and by learning specific techniques described in this book. Until now, the transmission of how to practice AEDP has been from supervisor to supervisee and from teacher to student, and through the Introduction
A flexible, reaction-wheel-driven fish robot: Flow sensing and flow-relative control

This paper studies flow sensing and flow-relative control for a flexible fish robot actuated by an internal reaction wheel. Two flow models are presented including a quasi-steady potential flow model and an unsteady vortex-shedding model. A recursive Bayesian filter is adopted to assimilate distributed pressure measurements and a bending-curvature measurement for flow-field estimation. The dynamic model of the reaction-wheel-driven fish robot is derived. A flow-relative control strategy for tracking swimming speed and turning rate consists of a feedforward controller designed based on the inverse steady-state turning model and a feedback controller that utilizes estimated flow information and an angular velocity measurement. Simulation results are presented to demonstrate the control design.
Robust extraction of planar and quadric surfaces from range images

We present a new range image segmentation algorithm based on the extraction of planar and general quadric surfaces, which is of great relevance in man-made environments, built largely of low-order surfaces. We describe how our robust estimator can effectively reject erroneous surface hypotheses, while identifying points describing a general quadric surface, by means of an improved approximation to the true geometric distance between each point and the surface. We present thorough experimental results with quantitative evaluation against ground truth.
Incorporating AAC and General Instructional Strategies in Requesting Interventions

This article provides clinicians and educators a useful conceptualization of general instructional strategies often used to promote the performance of requests in children with developmental disabilities, and which can be applied in interventions that utilize augmentative and alternative communication. A case study illustrates the specialized intervention of a 7-year-old boy with Down syndrome taught to make requests using a picture-based strategy. The intervention describes how environmental arrangement and generalized cues were used to promote spontaneous communicative attempts during a reinforcing social-communicative context, and explains how prompting and modeling were used to facilitate the performance of effective communication behaviors across multiple requesting opportunities. Following the intervention, the child showed significant increases in his use of functional communication, with collateral gains in speech, as demonstrated by the performance of requests. These results are discussed within the context of the extant research. Relevant practical considerations for clinicians and educators are provided.
Large N expansion of the 2-matrix model, multicut case

We present a method, based on loop equations, to compute recursively, all the terms in the large $N$ topological expansion of the free energy for the 2-hermitian matrix model, in the case where the support of the density of eigenvalues is not connected. We illustrate the method by computing the free energy of a statistical physics model on a discretized torus.
Performance analysis of an adaptive rate-range control algorithm for VANET safety applications

Vehicular Ad hoc network is considered as an important component of the next generation automotive systems. The various safety applications supported by the vehicular communication depend on the reliable delivery of the periodic safety messages. Due to variable vehicle density on the road, the fixed transmission parameters such as transmission range and packet generation rate of the safety messages result in a large number of collisions and an inefficient use of the control channel. The safety applications demand the adaptation of the above transmission parameters without compromising the safety of the vehicles. In this paper, we present a combined transmission range and packet generation rate control algorithm which takes into account the safety of the vehicles and maximizes the control channel utilization. At first, every vehicle calculates its packet generation rate using the measured time headway metric which provides a measure of the vehicle safety. In the second step, the transmission range is adapted based on the vehicle density estimation, the target network load and the packet generation rate of each vehicle. The performance analysis shows that the proposed algorithm improves the safety message performance in terms of packet reception rate and control channel utilization for a range of vehicle densities and vehicle speeds.
Application of a Predictive Model towards Fire Risks in Underground Metropolitan Transportation Based on Continuous Hazard Tracking

With the rapid development of underground metropolitan transportation, the problem of safety risks, especially the fire risks, have always been accorded great attention by researchers and practitioners. In order to reduce the uncertainty of fire risks in underground metropolitan transportation, the main objective of this paper is to devise a proactive approach to dynamically predict and control conditions leading to fire hazards. A literature review of fire risks in underground metropolitan transportation is conducted firstly. Then, a predictive model that is based on the continuous tracking of fire hazards is applied to predict the fire risks of underground metropolitan transportation. Using the model, the certain system of underground metropolitan transportation can be identified as "under control" or "out of control" based on the methods of sampling and control charts. This research would provide us with an effective and valid method to lessen the uncertainty of fire hazards in underground metropolitan transportation as much as possible.
MCPIP1 Deficiency in Mice Results in Severe Anemia Related to Autoimmune Mechanisms

Autoimmune gastritis is an organ-specific autoimmune disease of the stomach associated with pernicious anemia. The previous work from us and other groups identified MCPIP1 as an essential factor controlling inflammation and immune homeostasis. MCPIP1-/- developed severe anemia. However, the mechanisms underlying this phenotype remain unclear. In the present study, we found that MCPIP1 deficiency in mice resulted in severe anemia related to autoimmune mechanisms. Although MCPIP1 deficiency did not affect erythropoiesis per se, the erythropoiesis in MCPIP1-/- bone marrow erythroblasts was significantly attenuated due to iron and vitamin B12 (VB12) deficiency, which was mainly resulted from autoimmunity-associated gastritis and parietal cell loss. Consistently, exogenous supplement of iron and VB12 greatly improved the anemia phenotype of MCPIP1-/- mice. Finally, we have evidence suggesting that autoimmune hemolysis may also contribute to anemia phenotype of MCPIP1-/- mice. Taken together, our study suggests that MCPIP1 deficiency in mice leads to the development of autoimmune gastritis and pernicious anemia. Thus, MCPIP1-/- mice may be a good mouse model for investigating the pathogenesis of pernicious anemia and testing the efficacy of some potential drugs for treatment of this disease.