Miracle-dz/UniFAR-FTUs huggingface dataset:
Theory of Mind deficit in the behavioral variant of frontotemporal dementia and in amyotrophic lateral sclerosis: Why does it matter?

Theory of Mind (hereinafter referred to as ToM) is the ability to explain and predict other people’s behavior by attributing independent mental states to them. It allows us to recognize that mental states such as beliefs, intentions, and desires play a key role in driving and monitoring human behavior. Impairment in ToM ability can be highly disabling. ToM had been extensively studied in neuropsychiatric conditions such as autism and certain manifestations of schizophrenia [1], but only recently researchers and clinicians have started to investigate ToM in neurodegenerative conditions, such as the behavioral variant of frontotemporal dementia (bv-FTD) and amyotrophic lateral sclerosis (ALS).
An improvement ISAR range alignment algorithm

In general, the conventional Range Alignment methods can provide the satisfactory alignment result in Inverse Synthetic Aperture Radar (ISAR) image. However, because of the airflow disturbance or echo vibration, the target altitude may change and some echoes that deteriorate the precision of Alignment will appear. Considering this problem, echoes feature are analyzed in this paper. To remove the disturbed echoes, the Principal Component Feature Parameters (PCFP) of echoes are discussed. And the correlation of each echo with the PCFP by the euclidean distance are analyzed. Then, the deteriorating echoes can be extracted and separated through the proposed algorithm. The effectiveness and validity of algorithm are proved by simulation results.
Automatic Relative Radiometric Normalization for Change Detection of Satellite Imagery

Several relative radiometric normalization (RRN) techniques have been proposed till date most of which involve selection of pseudo invariant features whose reflectance are nearly invariant from image to image and are independent of seasonal cycles. Extraction of such points is quiet tedious and human operator has to provide mutual correspondence by choosing easily recognizable and time invariant points. In this paper, we intend to propose a new automatic radiometric normalization technique to select PIFs in panchromatic images known as Bin-Division Method. For multispectral images, MAD (Multivariate Alteration Detection) has been employed for selecting PIFs based on the assumption that MAD components are invariant to affine transformation. This, followed by robust linear regression constitutes the whole automatic radiometric normalization procedure.
Text Segmentation from Image with Complex Background Based on Markov Random Fields

Text contained in images and video frames provide an important clue for content based images and video indexing. However, it is difficult to segment text from images with complex background. This paper proposes a new proposal for text segmentation from images with complex background based on Markov random field. Experimental results demonstrate the performance of the proposed method.
GreenNet: An Energy-Harvesting IP-Enabled Wireless Sensor Network

This paper presents GreenNet, an energy efficient and fully operational protocol stack for IP-enabled wireless sensor networks based on the IEEE 802.15. 4 beacon-enabled mode. The stack runs on a hardware platform with photovoltaic cell energy harvesting developed by STMicroelectronics (STM) that can operate autonomously for long periods of time. GreenNet integrates several standard mechanisms and enhances existing protocols, which results in an operational platform with the performance beyond the current state of the art. In particular, it includes the IEEE 802.15. 4 beacon-enabled medium access control (MAC) integrated with lightweight IP routing for achieving very low duty cycles. It offers an advanced discovery scheme that accelerates the process of joining the network and proposes an adaptation scheme for adjusting the duty cycle of harvested nodes to the available energy for increased performance. Finally, it supports security at two levels: a basic standard secure operation at the link layer and advanced scalable data payload security. This paper describes all techniques and mechanisms for saving energy and operating at very low duty cycles. It also provides an evaluation of the performance and energy consumption of GreenNet.
Phototropism based spectrum sense in Cognitive Radio

The most obvious characteristic of Cognitive Radio is spectrum cognition. Spectrum sense is the primary question of spectrum cognition. Quick sense in wideband is the most important way for improving the efficiency of spectrum utilization and avoiding interference to licensed user. It is one of the key techniques which need be resolved imminently in Cognitive Radio. In this paper, phototropism in biology is introduced for spectrum sense in Cognitive Radio. Phototropism based sense technology is researched. The features of “light source” in spectrum sense are analyzed. Comparing the commonness and difference between plant growth and spectrum sense, the node sense model is modeled for phototropism based sense, respectively. Based on Smart Antenna technology and the features of wireless channel, the application schemes at one node are designed. Through analyzing the bionic arithmetic and mathematic optimizing methods, we research the phototropism based sense method with fast speed and wide band in order to sense spectrum optimally. The results of researching in this paper give a novel technical scheme for sensing and are valuable in theory and engineering in Cognitive Radio.
DEVELOPMENT OF A NEW WALL SHEAR STRESS GAUGE FOR FLUID FLOWS

A new technique has been developed to measure the wall shear stress and its direction in the turbulent boundary layer. In the turbulent boundary layer there is a very thin region, a viscous sublayer, which extends from y+= 0 to 5. This technique involves the measurement of torque upon a very small cylindrical body placed above the wall in the viscous sublayer, so that the device is operating in the creeping flow regime. The method of approach has involved calibration tests on a gauge 8 mm. long by 0.8 mm. in diameter, located in the uniform shearing flow created in a cone-and-plate apparatus. Our theoretical, computational and experimental results show that the torque has a linear relation with the wall shear stress. The gauge response is reversed for reversing the flow. By directivity measurements using this gauge, maximum wall shear stress direction and its magnitude are obtained. Linear response is obtained up to Reynolds number 3.2 which we could get in our apparatus. We have been using a spectral element code, Nekton, for solving the creeping flow equations for the gauge development. There is a very good agreement between the experimental and computational results.ACKNOWLEDGEMENTS I would like to thank my thesis advisor, Professor Patrick Leehey. I have been very fortunate to work with Professor Patrick Leehey. His invaluable guidance, patience, encouragement and support through the course of this thesis are much appreciated. I would like to thank Professor Anthony T. Patera who allowed me to use his spectral element code, Nekton and provided helpful instructions. I would like to thank Professor C. Forbes Dewey, Jr. who allowed us to use his cone-and-plate apparatus and provided useful comments. I wish to thank Peter Wagner for his earlier investigations on this subject and for his technical help for manufacturing of the gauge. I would also like to thank all of my officemates and my friends, particularly Kay Herbert for his technical assistance and friendship. Finally, my grateful thanks are given my parents whose love and support have helped me go through all my life. Financial support has been provided by grants from the Office of Naval Research, and distributed from the M.I. T Office of Sponsored Research under contract number 97457.
An efficient timing synchronization method for OFDMA system

In this paper, an efficient timing synchronization method for OFDMA (OFDM-FDMA) systems is presented. Under the multipath channel environment of ITU-R M.1225, detection probability, false alarm and missing probability of the proposed timing synchronization scheme are compared with the existing method of 2004 to demonstrate the excellence of the proposed scheme. Additional results will be added for the case of higher mobility.
Crip Theory and Country Boys: Masculinity, Dis/Ability, and Place in Rural Southeast Kansas

This article examines the discursive and material practices of rural masculinity in Southeast Kansas by foregrounding ability and place as essential in understanding gender. It draws on empirical data gathered from autoethnographic participant-observer research conducted in the region. I begin with a synopsis of critical studies on masculinity in the field of human geography and proceed by offering a summary of research specifically addressing rural masculinities. I then illustrate contrasting perspectives surrounding dis/ability as a concept and also provide an in-depth overview of crip theory. I next describe the research context and methods utilized during the project, as well as how men use their bodies as conduits through which cultural norms pertaining to “manhood” are expressed, affirmed, and reproduced. My results demonstrate how situated assertions of masculinity are inextricably linked to ability, (hetero)sexuality, and sociospatial context, as well as how the pervasive yet veiled pressures of heteronormativity and compulsory able-bodiedness and able-mindedness impose banal and strictly policed social boundaries in regard to belonging and inclusion. The piece is thus a “cripping” of hegemonic notions of manhood in rural Southeast Kansas suggesting that both ability and place are necessary constituent elements for any critical analysis of masculinity.
Length bias correction for RNA-seq data in gene set analyses

MOTIVATION Next-generation sequencing technologies are being rapidly applied to quantifying transcripts (RNA-seq). However, due to the unique properties of the RNA-seq data, the differential expression of longer transcripts is more likely to be identified than that of shorter transcripts with the same effect size. This bias complicates the downstream gene set analysis (GSA) because the methods for GSA previously developed for microarray data are based on the assumption that genes with same effect size have equal probability (power) to be identified as significantly differentially expressed. Since transcript length is not related to gene expression, adjusting for such length dependency in GSA becomes necessary. RESULTS In this article, we proposed two approaches for transcript-length adjustment for analyses based on Poisson models: (i) At individual gene level, we adjusted each gene's test statistic using the square root of transcript length followed by testing for gene set using the Wilcoxon rank-sum test. (ii) At gene set level, we adjusted the null distribution for the Fisher's exact test by weighting the identification probability of each gene using the square root of its transcript length. We evaluated these two approaches using simulations and a real dataset, and showed that these methods can effectively reduce the transcript-length biases. The top-ranked GO terms obtained from the proposed adjustments show more overlaps with the microarray results. AVAILABILITY R scripts are at http://www.soph. uab.edu/Statgenetics/People/XCui/r-codes/.
Risk Attribution and Portfolio Performance Measurement-An Overview

A major problem associated with risk management is that it is very hard to identify the main resource of risk taken, especially in a large and complex portfolio. This is due to the fact that the risk of individual securities in the portfolio, measured by most of the widely used risk measures such as standard deviation and value-at-risk, dont sum up to the total risk of the portfolio. Although the risk measure of beta in the Capital Asset Pricing Model seems to survive this major de ciency, it su¤ers too much from other pitfalls to become a satisfactory solution. Risk attribution is a methodology to decompose the total risk of a portfolio into smaller terms. It can be applied to any positive homogeneous risk measures, even free of models. The problem is solved in a way that the smaller decomposed units of the total risk are interpreted as the risk contribution of the corresponding subsets of the portfolio. We present here an overview of the methodology of risk attribution, di¤erent risk measures and their properties. S. Rachevs research was supported by grants from Division of Mathematical, Life and Physical Sciences, College of Letters and Science, University of California at Santa Barbara and the Deutschen Forschungsgemeinschaft.
On the nonlocal nature of dislocation nucleation during nanoindentation

Using static atomistic simulations, we study the full details of the mechanism by which dislocations homogeneously nucleate beneath the surface of a initially defect-free crystal during indentation. The mechanism involves the collective motion of a finite disk of atoms over two adjacent slip planes, the diameter of which depends on the indenter size. The nucleation mechanism highlights the need for nonlocal considerations in the development of a nucleation criterion. We review three nucleation criteria from the literature, each of which is based on purely local measures of the state of stress, and show that none are sufficiently general to predict nucleation in realistic atomic systems. We then propose a criterion based on an eigenmode analysis of the atomic-scale acoustic tensor. We demonstrate the accuracy of the criterion, which also works in the presence of existing topological defects like free surfaces or dislocation cores. The dependence of the size of the nucleated disk on the indenter radius leads to a self-similar nucleation process and virtually no indentation size effect (ISE), suggesting that homogeneous nucleation is only possible for very small indenters. r 2007 Elsevier Ltd. All rights reserved.
Data mining in education

Applying data mining (DM) in education is an emerging interdisciplinary research field also known as educational data mining (EDM). It is concerned with developing methods for exploring the unique types of data that come from educational environments. Its goal is to better understand how students learn and identify the settings in which they learn to improve educational outcomes and to gain insights into and explain educational phenomena. Educational information systems can store a huge amount of potential data from multiple sources coming in different formats and at different granularity levels. Each particular educational problem has a specific objective with special characteristics that require a different treatment of the mining problem. The issues mean that traditional DM techniques cannot be applied directly to these types of data and problems. As a consequence, the knowledge discovery process has to be adapted and some specific DM techniques are needed. This paper introduces and reviews key milestones and the current state of affairs in the field of EDM, together with specific applications, tools, and future insights. © 2012 Wiley Periodicals, Inc.
Internal carotid artery narrowing in children with retropharyngeal lymphadenitis and abscess.

BACKGROUND AND PURPOSE Our purpose was to describe the association between narrowing of the internal carotid artery (ICA) and retropharyngeal abscess in children. METHODS Neck CT scans from 13 consecutive children with suppurative retropharyngeal lymphadenitis and abscess were evaluated retrospectively for asymmetric ICA diameters at the level of the abscess. Clinical status at the time of illness was established via a chart review. Twenty control CT scans obtained from pediatric patients with normal imaging findings were evaluated prospectively to determine symmetry and size of the ICA. RESULTS Mean diameter of the normal ICA, contralateral to the retropharyngeal abscess, was 5 mm (range, 3-8 mm), while mean diameter ipsilateral to the abscess was 3 mm (range, 1-5 mm). The diameters of the normal and abnormal ICAs were statistically significantly different. All children were neurologically normal. The right and left ICAs in children with normal CT findings in the neck were symmetrical in diameter. CONCLUSION Despite dramatic narrowing of the ICA ipsilateral to retropharyngeal lymphadenitis and abscess, no children in this series had neurologic deficits, suggesting that such narrowing is a common, benign, and, most likely, incidental imaging finding.
Statistical Machine Translation of European Parliamentary Speeches

In this paper we present the ongoing work at RWTH Aachen University for building a speech-to-speech translation system within the TC-Star project. The corpus we work on consists of parliamentary speeches held in the European Plenary Sessions. To our knowledge, this is the first project that focuses on speech-to-speech translation applied to a real-life task. We describe the statistical approach used in the development of our system and analyze its performance under different conditions: dealing with syntactically correct input, dealing with the exact transcription of speech and dealing with the (noisy) output of an automatic speech recognition system. Experimental results show that our system is able to perform adequately in each of these conditions.
Power aware routing and clustering scheme for wireless sensor networks

In wireless sensor networks constructed from battery driven nodes, it is difficult to supply electric power to the nodes. Because of this, the power consumption must be reduced. To cope with this problem, clustering techniques have been proposed. EACLE is a method that uses a clustering technique. In EACLE, the route selection is executed independently after the CH (Cluster Head) selection. These two phase controls increase overheads and reduce the battery power, which leads to shorten the lifetime of wireless sensor networks. This paper proposes a novel routing and clustering method called PARC for wireless sensor networks that reduces these overheads by integrating the cluster selection phase and the route construction phase into a single phase. However, PARC has a following weak point that the batteries of CHs around the sink node are depleted earlier than the other nodes and the sink node cannot collect sensing data. This phenomenon is called a hot spot problem. In order to cope with this problem of PARC, we propose PARC+, which extends the CH selection method of PARC such as more nodes around the sink can be selected as a CH node. We evaluate our proposed methods by simulation experiments and show its effectiveness.
Carrier Frequency Synchronization for OFDM Systems in the Presence of Phase Noise

A carrier frequency synchronization scheme is proposed for orthogonal frequency-division multiplexing (OFDM) systems in the presence of phase noise (PHN). In the proposed scheme, carrier frequency synchronization is performed based on the maximum-likelihood (ML) algorithm using an OFDM preamble symbol. The proposed scheme is compared with conventional methods. Simulation results are presented to illustrate the effectiveness of the proposed scheme in the presence of PHN.
Dimension hierarchies updates in data warehouses - a user-driven approach

We designed a data warehouse for the French bank LCL meeting users’ needs regarding marketing operations decision. However, the nature of the work of users implies that their requirements are often changing. In this paper, we propose an original and global approach to achieve a user-driven model evolution that provides answers to personalized analysis needs. We developed a prototype called WEDrik (data Warehouse Evolution Driven by Knowledge) within the Oracle 10g DBMS and applied our approach on banking data of LCL.
DISTRIBUTED SENSOR FUSION USING DYNAMIC CONSENSUS

This work is an extension to a companion paper describing consensustracking for networked agents, and shows how those results can be applied to obtain least-squares fused estimates based on spatially distributed measurements. This mechanism is very robust to changes in the underlying network topology and performance, making it an interesting candidate for sensor fusion on autonomous mobile networks. We conclude with an example of a preliminary application to distributed Kalman Filtering using the proposed technique, illustrating the dependence of the performance on the structure of the underlying network. Copyright c ©2005 IFAC
ON A PREVENTIVE MAINTENANCE WITH MONITORED SYSTEM

A monitored system consists of a core system and its monitor. A core system follows a general life time distribution, but its state, good or not good, cannot be observed directly. In order to infer the state of the core system, we use the information from the monitor whose states are stochasticalIy related to the states of the core system. Using its information, we make the maintenance policy for the core system so as to minimize the total expected cost incurred by a sequence of actions. This paper shows the conditions under which an optimal maintenance policy for the above model has the form of a control limit policy. Also, a numerical example where the life time of the system follows a WeibulI distubution is presented.
Ameta-analysis of patient outcomes with subcentimeter disease after chemotherapy for metastatic non-seminomatous germ cell tumor

s screened (n = 166) Excluded by title review (n = 8254) Full-text articles accessed for eligibility (n = 45) Excluded by abstract review (n = 121) Articles included (n = 6) Articles included from ASCO and AUA abstract search, and reference review (n = +3) Total number of published studies included (n = 9) Excluded by article review (n = 39) 1) RP mass size not limited to ≤1cm (n = 13) 2) RP size not given (n = 1) 3) Review articles (n = 6) 4) Data reported in other included articles (n = 5) 5) Commentaries (n = 2) 6) True histology rates not given (n = 1) 7) Residual disease not limited to RP (n = 1) Figure 1. Flowchart of study selection.  | Ravi et al. Volume 25 | No. 2 | February 2014 reviews Annals of Oncology
Reflections on a Caroline Plummer Fellowship in Community Dance Project: A circle of life

This article examines the outcomes of a Caroline Plummer Fellowship in Community Dance project that I facilitated for people living with cancer. Through the project people with cancer, or those associated with someone living with cancer, were invited to come together to create and perform a dance through a series of ten weekly sessions titled ‘A Circle of Life’. In this article I reflect on the experiences of the participants as they moved from different levels of nervous apprehension to a place of confidence and pride. The project involved collaborations with University of Otago Arts Fellows and community artists as we moved through a ten-week period. The findings indicated the motivation of the dancers to continue attending sessions, despite hardship; their sense of pride in being part of something that was larger than themselves; the way the dance permitted them to embody a sense of courage; and finally, in performing, how they managed to share something that genuinely moved an audience.